≡ Menu
Luck's rushing ability makes him a QBR star

Luck's rushing ability makes him a QBR star.

A few weeks ago, I put ESPN’s Total QBR under the microscope. Today, I want to look at the quarterbacks whose passing statistics most differ from their QBR grades.

Total QBR grades go back to 2006, so to start, I ran a regression using Adjusted Net Yards per Attempt to predict Total QBR. The best-fit formula was:

Total QBR = -13.5 + 11.23 * ANY/A

For those curious, the R^2 was 0.80, indicating a very strong relationship between ANY/A and Total QBR. What this formula tells us is that a passer needs to average 5.65 ANY/A to be “projected” to have a QBR of 50; from there, every additional adjusted net yard per attempt is worth 11.2 points of QBR. Last year, Peyton Manning averaged 8.87 ANY/A, which projects to a QBR of 86.2. In reality, Manning had a QBR of “only” 82.9; this means Manning’s QBR says he wasn’t quite as amazing as his excellent efficiency numbers would indicate (to say nothing of his otherworldly gross numbers). One likely reason for this result is that Manning ranked 29th in average pass length in the air (according to NFLGSIS) and 6th in yards after the catch per completion; this matters because ESPN gives more credit to quarterbacks on the yards they accumulate through the air. (Throughout this post, we will be forced to deal with educated guesses, because Total QBR is a proprietary formula.)

As it turns out, Manning rating higher in actual QBR than projected QBR is a stark departure from prior years. In 2012, he finished 7.2 points higher in actual QBR than projected QBR, but that’s nothing compared to his time with the Colts. In five years in Indianapolis during the Total QBR era, Manning finished at least 10 points higher in actual QBR each season.

Along with Manning, Matt Ryan and Andrew Luck are the two quarterbacks who are most likely to over-perform relative to their “projected” ratings. Let’s be careful about exactly what this means: whatever the ingredients that go into the QBR formula that don’t go into the ANY/A formula, Manning, Ryan, and Luck seem to have a lot of them.

Luck is a fascinating case. In 2012, he ranked just 20th in ANY/A, but 11th in QBR. I wrote several articles during Luck’s rookie season about how his QBR ratings surpassed his standard stats.1 Last year, he ranked 16th in ANY/A and 9th in QBR. Does this make Luck the quarterback most underrated (if you buy into QBR) by his traditional passing numbers (if you buy into ANY/A)? [click to continue…]

  1. Although now I can’t recall if his 2012 ratings were inflated because of his 4th quarter comebacks.  And I can’t check, because once ESPN decided to cap the clutch weight associated with each play, they retroactively applied the current formula across past years. []
{ 13 comments }

Wazzup????

Wazzup????

Some quarterbacks and wide receivers just go together. Peyton Manning and Marvin Harrison. Dan Marino and Mark Clayton and Mark Duper. Joe Namath and Don Maynard. John Hadl and Lance Alworth. But quarterbacks play with lots of receivers, and receivers generally play with several quarterbacks. We don’t remember most combinations, but that doesn’t mean they were all unproductive. So I thought it might be interesting to look at every wide receiver since 1950, find his best single season in receiving yards, and record who was his team’s primary quarterback that season.

Jerry Rice’s best year came with Steve Young, not Joe Montana. Randy Moss set the touchdown record with Tom Brady, but his best year in receiving yards was with Daunte Culpepper. Lynn Swann’s best year was with Terry Bradshaw, but John Stallworth’s top season in receiving yards came with Mark Malone. James Lofton’s best season was with Lynn Dickey, Isaac Bruce’s best year was with Chris Miller, Torry Holt’s top season came with Marc Bulger, and Tim Brown’s top year was with Jeff George.

This is little more than random trivia, but this site does not have aspirations for March content higher than random trivia. In unsurprising news, 25 different players had their best season in receiving yards (minimum 300 receiving yards) while playing with Brett Favre. That includes a host of Packers, but also a couple of Jets and Vikings, too (including one future Hall of Famer).

After Favre, Marino is next with 22 players, and he’s followed by Manning and Fran Tarkenton (20). From that group, I suspect that Tarkenton might surprise some folks. That is, unless they realized that he was the career leader in passing yards when he retired and played for five years with the Giants and thirteen with Minnesota.

The table below shows every quarterback who was responsible for the peak receiving yards season of at least five different receivers (subject to the 300 yard minimum threshold). For each quarterback, I’ve also listed all of his receivers. [click to continue…]

{ 10 comments }

Peyton Manning’s Legacy

Can you spot the GOAT?

Can you spot the GOAT?

Super Bowl XLVIII was the nightmarish end to the dream season had by Peyton Manning and the Broncos. After the greatest scoring season in NFL history, Denver’s high-powered offense was held to just 8 meaningless points against one of the greatest defenses in NFL history. Great players have been having bad games on the biggest stages since the beginning of sports. But the NFL world has a unique reaction when that player is Manning; for him, every loss is yet another building block on his Narrative(TM).

When Tom Brady leads the greatest scoring offense in NFL history to 14 points against a defense that allowed 22 points per game during the regular season, it does not become part of his narrative. When Joe Montana leads the 49ers to just three points in back-to-back playoff losses to the Giants, those games are pushed to the footnotes section of his biography. When the favored Colts were shut out by the Browns in the 1964 NFL title game, that goose egg did not become indelibly intertwined with the legacy of Johnny Unitas. Our memory of Otto Graham‘s 1953 season is that it was one of the greatest quarterback seasons in football history, even if he went 2/15 for 20 yards with no touchdowns and two interceptions in a losing effort in the NFL title game. We remember Sammy Baugh as one of the greatest players ever, forgetting that he was the face of an embarrassing 73-0 loss to the Bears in the 1940 championship game. For most quarterbacks, ugly playoff performances are quirks of history; for Manning, they become bullet points in a character assassination.

Mike Tanier already discussed the silliness that surrounds Manning’s career. Detractors have played “move the goal posts” for nearly two decades with Manning, beginning with his high-profile losses in college. Even after Manning seemingly silenced the last anti-Manning argument, his detractors just invented a new game.

He led his team to a Super Bowl victory. He began to reliably beat Brady’s Patriots. Instead of installing Manning’s legacy behind shatterproof glass, we just juggled harder. One Super Bowl victory, plus another loss, simply isn’t enough for this particular player! The bar for true greatness is multiple Super Bowl victories, an easy standard to set if you are a Patriots fan or a television analyst who shared a locker room with Troy Aikman! It’s a wonder we did not go back and retroactively demand an Orange Bowl or two.

Today’s post is not written to make you feel bad for Peyton Manning. You should not. But the question that has been repeatedly asked over the last three weeks – What is Peyton Manning’s legacy? – is one that is easy to answer. His legacy is that he’s the greatest quarterback ever. That’s not a very exciting answer in the world of #HOTTAKES, but it’s the truth.

We’re past the point of debating how valuable Manning has been in the regular season. Two years ago, I concluded that Manning was the greatest statistical quarterback in NFL history, and that’s before he even donned a Broncos uniform. That analysis didn’t consider how the Colts fell from Super Bowl contender to worst team in the league in the span of one Manning injury. That analysis didn’t consider that in his first year with the Broncos, Denver set the record for the largest year-to-year increase in completions, because that result was preordained. That analysis isn’t based on the MVPs, the All-Pros, the Pro Bowls, or anything but the numbers. I’ll re-run the study this summer, but the only question is how much farther ahead of the competition Manning’s increased his lead.

Attacking Manning’s numbers is a fool’s errand. As a result, as Manning’s regular season production has taken on mythic proportions, the anti-Manning crowd has begun to use that success as a sword. He’s the best regular season quarterback of all time, they will say, emphasizing those two words as if they were agents of disease.

Manning’s teams have struggled in the playoffs. Manning has struggled some, too, although not nearly as much as some believe. Is it surprising that Manning has an 11-12 career playoff record? I suppose so, because we’re at the point that literally every single time Manning loses a game we are surprised. Over the last nine seasons, there have been just seven games where Manning’s team lost as an underdog.1 A Manning loss is an event, a mystery to be solved, a bat signal for the Manning truthers to emerge.

Some — perhaps many — will argue that Manning is not the greatest quarterback ever. Instead of Manning, that title should be reserved for Montana, or Brady, or Unitas. With Montana, the argument always goes back to the #4RINGZ (although you rarely hear about Bart Starr and his #5RINGZ). As a football historian, I find it disheartening that Montana is mostly remembered as a four-time champion, because he was one of the greatest regular season quarterbacks ever. You never hear Montana referred to as one of the greatest statistical quarterbacks or one of the greatest regular season passers, because those are Naughty Words. But Montana was. And he should be lauded for that.

One of the greatest regular season quarterbacks ever

One of the greatest regular season quarterbacks ever.

The Montana over Manning argument is simple: Montana is better because he went 4-0 in Super Bowls, while Manning is 1-2. Such hard-hitting analysis ignores the fact that in each of the four seasons Montana won the Super Bowl, the 49ers defense ranked in the top three in either yards allowed, points allowed, or both. For Manning, “only one Super Bowl” is a scarlet letter. The common argument goes, “How could the greatest quarterback ever only win one Super Bowl?” That’s a fair question to ask, but we know the answer: the playoffs are a single elimination tournament where random events happen. Montana threw three interceptions and lost a fumble in the 1981 NFC Championship Game, but the 49ers still won. In Super Bowl XXII, Montana nearly lost the game with a pass that hit Lewis Billups in the hands, but the defensive back couldn’t catch the ball. Montana was a better quarterback in the playoffs than Manning, but he also lost twice as 8+ point favorites. In one of those games, he was benched. Montana may be the second greatest quarterback of all time, but his resume is not beyond reproach.

“How could the greatest quarterback of all time win just one championship?” is Manning’s burden to bear, but it’s not hard to frame anti-Montana questions, either. After all, why did he only win two MVP trophies? That question is no more — and no less — fair than the Manning one. How great could Montana have really been if he did not win a single MVP trophy in his first ten seasons? After finally winning the award in back-to-back seasons, his replacement won the same award twice in the next five years? Shouldn’t we expect the greatest quarterback ever to be the best player in his league more than twice? Let Montana win three more MVP awards, and then we can talk about him being better than Manning.

The MVP question isn’t the only one out there. If Montana was so great, how come the Associated Press only named him a first-team All-Pro three times in his career? Shouldn’t the greatest player at his position in NFL history be recognized as the best player at his position more than three times in his career? Manning’s done it seven times! Be named the best player at your position four more times, then talk.

Those who believe Montana or Brady are better than Manning will not be convinced otherwise. I have no interest in yet another Brady/Manning debate. I would not deem it a coincidence that Montana and Brady were coached by Bill Walsh and Bill Belichick, the two best coaches of the last 30 years. I would not be so quick to blame Manning for losing in the Super Bowl, instead of praising him for taking teams coached by Jim Caldwell and John Fox to the big game. Brady, like Montana, has won just two MVPs. He was only a first-team All-Pro selection twice in his career, although he has a good excuse: he was competing with Manning nearly every year.

The best quarterback of his era not to win a title in the '60s

The best quarterback of his era not to win a title in the '60s.

Unitas, as great as he was, doesn’t compare favorably to Manning, because nobody compares favorably to Manning. Technically, Unitas won three titles, but he left Super Bowl V with an injury while the Colts were trailing, and Earl Morrall was the quarterback who led Baltimore’s come-from-behind victory. If that ever happened to Manning, there would be riots in the streets before Manning was credited with that win.

As good as Unitas was, nearly every factor points in Manning’s favor. We already know that Manning’s numbers — after adjusting for era — dwarf those of every other quarterback. But other factors tell a similar story. Unitas was a 10-time Pro Bowler and 5-time Associated Press 1st-team All-Pro; those are great accomplishments, but most of those accolades came when the NFL had between ten and sixteen teams, and several franchises employed a quarterback-by-committee approach during that era. Standing out as an elite quarterback was easier back then, but no matter: Manning still has Unitas beat, with 13 Pro Bowls and seven AP first-team All-Pros.

Unitas did not have the sustained success of Manning (he had a pair of down seasons in the middle of his career) nor did his career reach the highest peaks that Manning did in ’04 or ’13. Unitas did not win a single championship in the sixties, and in that era, he was the Manning to Starr’s Brady. Unitas won two titles early and then suffered a long postseason drought. Unitas was a three-time MVP, but that still puts him behind Manning.

Quarterback debates can be silly. We don’t wonder why Barry Sanders never won a Super Bowl. The  legacy of Jim Brown wasn’t tarnished even though he didn’t win a playoff game until his second-to-last season. Manning is the greatest quarterback in NFL history. That’s his legacy. He’s earned that label after reaching unparalleled levels of success, by producing at a level well above average, game after game, month after month, season after season. It’s a bit odd that Manning’s teams haven’t had more success in the playoffs, but that’s all it is. Ted Williams never won a World Series, but it doesn’t make him any less of a ballplayer. Even Boston fans can agree with that.

We are told that quarterbacks are different, and that a quarterback is responsible for his team’s success. But constant repetition does not make it so. We’re smart enough to know this; I know we are. We don’t think Russell Wilson is a better quarterback than Manning just because the Seahawks beat the Broncos. But Super Bowl XLVIII just showed that a great team can beat a great quarterback. A great effort by an in all three phases of the game is usually what it takes to beat Manning. Perhaps that is his true legacy, as no quarterback has ever been tougher to beat.

  1. This excludes three meaningless end-of-year games where Manning was the nominal starter before sitting on the bench for the rest of the game, and the Colts were underdogs for precisely that reason. That never happened in 2005 or 2006, but in 2007, against the undefeated Patriots, the Colts were 5-point underdogs and lost 24-20. In 2008, the Colts were 4-point road dogs to the undefeated Titans, and lost 31-21. We skip 2009, and then in 2010, the Colts lost as road dogs to the Eagles and Patriots. In 2012, as post-surgery Manning was working back into GOAT Manning, Denver lose to Atlanta, Houston, and New England in the first five weeks as underdogs. And since someone will ask, Brady has lost as an underdog ten times over that span, excluding the week 17 game against Houston in 2009. []
{ 97 comments }

No, Peyton, you're the man

No, Peyton, you're the man.

In 1984, Dan Marino set an NFL record with 48 touchdown passes, but his Dolphins lost in the Super Bowl. Twenty years later, Peyton Manning broke Marino’s record, but he lost to the eventual Super Bowl champion Patriots in the playoffs. In 2007, Tom Brady broke Manning’s touchdowns record, but he lost in the Super Bowl, too.

When the greatest quarterback seasons of all time are discussed, these three years dominate the discussion. And with good reason. But if you include the playoffs — and frankly, there’s no reason not to include the playoffs — which quarterback produced the greatest season of all time? I’m going to stipulate that the greatest quarterback season ever has to end in a Lombardi Trophy, because otherwise, I think we’ll end up back in the world of Marino ’84/Brady ’07/Manning ’04. Of course, now another Manning season has entered the mix: and with a Super Bowl win, Manning’s 2013 should and would be remembered as the greatest quarterback season of all time.

So, the question becomes, which season would he knock off the top rung? I think there are six seasons that stand out from the rest, based on regular and postseason performance.

Honorable Mention [click to continue…]

{ 15 comments }

Championship Game Preview: New England at Denver

These two men look important

These two men look important.

Someone needs to say it. I know, I know, it’s Manning/Brady XV. But someone needs to remind people that Peyton Manning threw 30 more touchdown passes than Tom Brady in 2013. He threw for over 1,000 more yards. He threw one less interception. He was sacked 22 fewer times. And did I mention that he threw 30 more touchdowns? If you’re not into stats, Brian Burke has Manning providing 5.83 extra wins this year, compared to 3.82 for Brady. At some point, the analysis should move beyond “a game between two of the greatest quarterbacks ever” and recognize these things, right?

Let’s cut off the Patriots fans before they can begin typing in Boston accents: the fact that Manning’s 2013 numbers dwarf Brady’s 2013 numbers does not mean Manning’s career >>> Brady’s career. And it doesn’t even mean (although it strongly implies) that Manning was a better quarterback in 2013 than Brady was. There’s no doubt that Denver’s supporting cast, at least on offense, is much better than New England’s. Manning has Brady’s favorite target from last year, Wes Welker, along with Demaryius Thomas, Eric Decker, and Julius Thomas. Brady has dealt with a very inexperienced set of receivers following massive turnover. The Patriots have had to replace Welker, Rob Gronkowski, Aaron Hernandez, and Danny Woodhead with Julian Edelman, 12 games worth of Danny Amendola, 8 games of Shane Vereen (although he’ll be around on Sunday), 7 games of Gronkowski (he won’t be around on Sunday), and Aaron Dobson and Kenbrell Thompkins. Each quarterback is down a star tackle (Ryan Clady, Sebastian Vollmer) but has an All-Pro caliber guard (Louis Vasquez, Logan Mankins).

But whatever the reason for the discrepancy, one conclusion is inescapable: this is not a meeting of equal passing attacks. On one hand, you have one of the greatest passing offenses ever. On the other, you have an above-average passing offense. And that’s the real story. The Broncos averaged 10 more points per game than New England, while Manning (as representative of the Denver passing attack) averaged 2.75 more adjusted net yards per attempt than Brady (as representative of the Patriots passing attack). [click to continue…]

{ 3 comments }

How quaint: a quarterback taking snaps form under center

How quaint: a quarterback taking snaps form under center.

With one game remaining, Peyton Manning has already set the new single-season record with 51 passing touchdowns (two months ago, I projected Manning to finish the season with 52 touchdowns). But all records must be viewed in their environment, and NFL teams are averaging 1.58 touchdown passes per team game this year, the highest average since 1948. In 1984, the year Dan Marino threw 48 touchdowns, teams averaged 1.37 touchdown passes per game.

So which season is more impressive? That’s a complicated question, and one that could be answered in many ways. In my view, the question boils down to which performance was more outstanding; in mathematical terms, we could define that as which season was farthest from the mean.

To make life a little simpler, I’m going to analyze this question on the team level, meaning we will compare “Denver 2013″ to “Miami 1984.” Of course, this approach is preferable in many ways, since when we praise Manning we really mean “Manning with his offensive line and his coaching staff throwing to Demaryius Thomas, Wes Welker, Eric Decker, and Julius Thomas.” And “Marino in 1984″ means “Marino and Mark Clayton and Mark Duper and Dwight Stephenson and Ed Newman.”

This season, the Broncos have 51 touchdown passes. The other 31 teams (through 15 games) are averaging 22.8 passing touchdowns, which means Denver is 28.2 touchdowns above average. The standard deviation of the 32 teams in passing touchdowns is 7.4; as a result, we can say that the Broncos are 3.84 standard deviations above average, also known as their Z-score.

In 1984, the other 27 teams (through 16 games) averaged 21.0 touchdowns, while the Dolphins threw 49 scores (Jim Jenson, a college quarterback who played receiver for Miami, threw a 35-yard touchdown to Duper against the Patriots off a Marino lateral). The standard deviation that season in touchdown passes at the team level was 7.5, which gives Miami a Z-score of 3.72 in 1984.

So the Broncos this season have been more extraordinary, at least by this measure. One nice thing about using the Z-score is we don’t need to adjust for games played. I went ahead and calculated the Z-scores for every team since 1932. The current Broncos are #1, with the ’84 Dolphins in second place. The third place team isn’t the Tom Brady 2007 Patriots; that team is down at #7, because the standard deviation in passing touchdowns among the league’s 32 teams was 8.8 that season. Instead, the third slot goes to the 1986 Dolphins. Few remember that Marino threw 44 touchdowns that season; add in Don Strock’s two touchdowns, a lower league average and a smaller standard deviation, and those Dolphins get a Z-score of 3.70.

Let’s look at the top 100 teams using this metric. The 2004 Colts ranked fifth (if you click on the cell in the team column, the link takes you to that team’s PFR page) in Z-score. That year, Indianapolis threw 51 touchdowns, while the other 31 teams averaged 21.97 touchdown passes. That means Indianapolis was 29.03 touchdowns above average, the highest production above average to date. But that year, the standard deviation among the 32 teams in passing touchdowns was 8.53, giving the Colts a Z-score of “only” 3.41; that’s why they’re 5th, not first.
[click to continue…]

{ 37 comments }

Denver has scored at a historic rate

Denver has scored at a historic rate.

Today’s insane statistic comes courtesy of RJ Bell: the difference between Denver and the #2 team in points per game is larger than the difference between the #2 and #31 teams. The Broncos are averaging 39.8 points per game this season, 11.6 points more than the (surprisingly second-ranked) Bears. And Chicago is averaging just 9.9 more points per game than the Jets, the #31 ranked scoring team.

That is, well, crazy. The record for points per game in a season is 38.8, set by the 1950 Rams. The 2007 Patriots are second at 36.8, and both of those teams scored slightly more points through ten games than the 2013 Broncos. So while Denver is on pace to break the scoring record, some regression to the mean over the final six games should be expected.

If the Broncos want to set the record for most points scored relative to the second highest scoring team in the league, Peyton Manning and company have some work to do. That mark is held by the ’41 Bears, who averaged 36.0 points per game, 12.5 more than the Packers that year. Second and third on that list are the ’07 Patriots (8.4) and ’50 Rams (8.3), so Denver has a realistic shot of setting the modern record.

I’ll be honest: as dominant as the Broncos offense has been, I’m a little surprised to see them so far ahead of the competition in points scored. After all, consider:

  • The Eagles have just 19 fewer yards than the Broncos, and Nick Foles actually leads Manning in both passer rating and Adjusted Net Yards per Attempt;
  • In PFR’s Expected Points Added, the Broncos offense is at 14.7 EPA-added per game, while the Saints offense is at 11.3. That’s a relatively small difference considering the fact that Denver has scored 12.1 more points per game than New Orleans.
  • The Chargers have a higher completion percentage than the Broncos and six fewer turnovers, but have averaged 17 fewer points per game.
  • The Packers are actually a hair ahead of Denver in yards per play (6.3531 to 6.3529), but have scored two fewer touchdowns per game.

So what’s going on? I’m perfectly fine with Denver being general run-of-the-mill dominant, but the team’s points scored numbers makes it seem like the Broncos might be the greatest offensive machine ever. I think I’ve identified the two reasons to explain the gap:

Red Zone success

Philadelphia has scored a touchdown just 46% of the time the Eagles made it into the red zone, which ranks 28th in the league. San Diego isn’t much better at 50% (22nd). The Saints are at 52.5% (20th), and the Packers are down at 30th at 43%. So some excellent offenses are really struggling in the red zone, which gives them disproportionately low points per game averages. Oh, and Denver? They’re at 79.1%, by far the highest rate in the league. It’s not unusual for a great offense to dominate in the red zone — the ’07 Pats were at 70% — but what is unusual is seeing the other top offenses struggle there.

I have red zone data going back to 1997, and the highest ever performance was set by Kansas City in 2003. The Trent Green-Priest Holmes-Tony Gonzalez Chiefs scored a touchdown on 77.8% of all red zone opportunities (42 out of 54), so the Broncos (34 out of 43) could break that record this year. More likely, though, is that the Broncos go from otherworldly in the red zone to just great, which would drop the team’s points per game average.

Number of Drives

The Broncos are averaging 2.85 points per drive, while the Saints are #2 at 2.46. That’s not a huge difference — the gap between #2 and #7 is slightly bigger. The difference, as you can deduce, is that the Broncos are averaging 13 drives per game while the Saints are at just 11.3 drives per game. Why is that? New Orleans’ average drive takes 2:56 minutes, the third-longest in the league (and San Diego is #1 at 3:13), while the Broncos are in the bottom five at 2:17 (the Eagles are last at 2:02). That Chip Kelly edge is erased, though, because Philadelphia’s opponents average 2:48 per drive, the third highest rate in the league. Denver’s opponents take just 2:18 per drive, the third lowest (just a second ahead of Detroit and eight seconds longer than Kansas City).

The Broncos defense is not great, but it does rank 6th in completion percentage allowed. Combine that with the fact that Denver ranks 4th in percentage of opponent plays that are passes, and incomplete passes occur on 25% of all plays run by Broncos opponents, the second-highest rate in the league behind Kansas City. That’s not surprising for a team with such a high Game Script, but it does stop the clock from running for long stretches, which gives Denver’s offense more possessions The Chargers are 28th in this statistic (18%), which is one reason why San Diego is dead last in offensive drives (10.2 per game).

But there’s another reason why Broncos’ opponents tend to have short drives: Denver leads the league in 20+ yard plays allowed at 54. As a result, teams don’t end up with many clock-chewing drives against Denver: opponents tend to gain big yards quickly or throw incomplete passes. That increases the number of drives for the Broncos, which (one could argue) inflates the success of the team’s offense. It’s all relative, of course — Denver is still #1 in points per drive by a wide margin — but it’s worth recognizing that Denver has scored 75% more points per game than an average of the other 31 teams, but “just” 62% more on a per-drive basis. That accounts for about 3 points per game. Add in the insane success in the red zone, and the lack of success there by the other top teams, and you have the reasons for the crazy stat at the top of today’s post.

Manning Record Watch Update

After six games, I analyzed how likely Manning was to break the single-season touchdown record. At the time, he had 22 touchdowns, and the formula projected him to throw 2.99 TDs/G the rest of the way to finish with 52 touchdowns, narrowly breaking Tom Brady’s record.

Now? Manning has 34 touchdowns, as his pace has only slightly declined. What does that mean? To calculate Manning’s odds using Bayes Theorem we need to know four things:

1) His Bayesian prior mean (i.e., his historical average): 2.38, as this number wouldn’t change from the original post.

2) His Bayesian prior variance (the variance surrounding his historical average): Again, no change here, so we use 0.0986.

3) His observed mean: Instead of 3.667, we will use 3.4.

4) His observed variance: This one involves just a little bit of work. What I suggested we do last time is calculate the number of passing touchdowns per game Manning averaged in the first six (now ten) games of each season since 2000, along with his average over the rest of the season (then, 8-10 games, now, 4-6 games). Then we take the difference of the variances of each column, as we did in step two.

Year
TD/G Thru 10
ROY G
TD/G ROY
Diff
20002.1620.1
20011.861.330.47
20021.961.330.57
20031.961.670.23
20043.552.80.7
20052420
2006261.830.17
20071.653-1.4
20081.751.8-0.1
20092.143-0.9
2010262.17-0.17
20122.462.170.23
Variance0.220.31

Manning’s variance over the rest of the season is 0.3052 TDs/G, while his variance through ten games is 0.2214; the differential there is 0.0838, which is the variance of our current mean.

Once you have your number for these four variables, then you substitute those numbers into this equation:

Result_mean = [(prior_mean/prior_variance)+(observed_mean/observed_variance)]/[(1/prior_variance)+(1/observed_variance)]

Or, using our numbers:

[(2.38 /0.0986) + (3.4 / 0.0838)] / [(1/0.0986) + (1/0.0838)]

which becomes

[24.14 + 40.57] / (22.08) = 2.93

This picture will never get old

This picture will never get old.

After averaging 3.667 TDs/G over 6 games, we projected Manning to average 2.99 TDs/G the rest of the year. Since he averaged “only” 3 touchdowns per game over his next four games, we downgrade him from 2.99 to 2.93. Of course, we already had a significant regression factored into his future projection — we dropped him by 0.67 TDs/game from his average, which is the point of using Bayes Theorem. So while he’s at “only” 3.4 TDs/G on the season after 10 games, since he’s played at that level for longer, he only loses about half a touchdown per game over his projection the rest of the way.

That gives Manning 17-18 touchdowns, which puts him at a season-ending projection of 51-52 touchdowns. He’s still more likely than not to break the record, although obviously this analysis ignores lots of elements like strength of schedule. And with a visit to Kansas City and a game against the Titans (who have allowed a league-low 7 touchdowns through the air), perhaps he’s actually an underdog to even tie Brady at 50.

{ 4 comments }

Is that Bayes?

Is that Bayes?

Peyton Manning is not a 51 touchdown per-season quarterback, but that doesn’t mean he won’t average the necessary 2.9 touchdowns per game over his final ten games this season to break Tom Brady’s touchdown record. Before the season, Footballguys.com projected Manning as a 2.38 passing touchdown per game player.  And while he has looked unstoppable thus far, with 22 touchdown throws in six games, Manning has been known to have great spurts before, too.  All quarterbacks have hot and cold streaks, Manning included.  From 2003 to 2012, after removing games where he sat late in the season, Manning averaged 2.17 passing touchdowns per game with a standard deviation of 1.31 touchdowns.1  In the ’04 season, Manning threw at least 20 touchdowns in each of his trailing six game stretches from week 7 all the way through week 15, with a peak of 27 touchdowns in his prior six games in weeks 11 and 12.  Manning also threw 19 touchdowns in his last two full regular season games of 2010 and his first four games of 2011.  White-hot streaks happen, even to the best players, so we shouldn’t just assume that he’s now a 3.67 touchdown per game player.

On the other hand, it would be naive to assume that we should ignore the first six weeks of the season and continue to project Manning as a 2.38 touchdown per game player for the rest of the year.  The question becomes, how much do we base projection over the final 10 games on his preseason projection and how much do we base it on his 2013 results? In Part I, after four games, a regression model produced a projection of 2.56 touchdowns per game the rest of the year. But the problem with a regression analysis is that Manning is an extreme outlier among NFL quarterbacks; to project Manning, it would be best if we could limit ourselves to just quarterbacks named Manning Peyton Manning.

Before continuing, I want to give a special thanks to Danny Tuccitto, without whom this article wouldn’t be possible. Danny provided this great link and also spent a lot of time walking me through the process. To the extent I’ve mucked it up here, you should blame the student, not the teacher. But after walking through some models online, I realized that the best explanation about how to use Bayes Theorem for these purposes was on a sweet site called FootballPerspective.com. And the smartest person on that website had already laid out the blueprint.

In the comments to one of his great posts, Neil explained that we can calculate Manning’s odds using Bayes Theorem if we know four things:

His Bayesian prior mean (i.e., his historical average):

His Bayesian prior variance (the variance surrounding his historical average):

His observed mean:

His observed variance:

Let’s go through each of these:

1) Manning’s Bayesian prior mean: this is simply what we expected out of Manning before the season. I will use 2.38, since Footballguys is the gold standard of football projections in my admittedly biased opinion. But you can use any number you like, as I’ll provide the full formula at the end.
[click to continue…]

  1. That was after removing week 17 of the ’04, ’05, ’07, ’08, and ’09 seasons, and week 16 of the ’05 and ’09 seasons, when Manning left early. Why did I pick the last ten years? I don’t know, but he won his first MVP in ’03, so that seemed like a useful starting point. []
{ 9 comments }

It's been a magical month for the Broncos passing game

It's been a magical month for the Broncos passing game.

Sometimes, the simplest questions have the most complicated answers. Peyton Manning has thrown 16 touchdowns so far this season, putting him on pace for 64 touchdowns this year. Now, we can be reasonably sure that Manning’s true ability level — even with Wes Welker, Demaryius Thomas, Eric Decker, and Julius Thomas — isn’t four touchdowns per game. But he doesn’t need to keep up that pace to break Tom Brady’s single-season record of 50 touchdown passes: Manning “only” needs to averaged 2.92 touchdowns per game over the final 12 games. But to figure out his odds of averaging nearly three touchdowns per game, we need to figure out his true ability level. So how do we determine that number?

Even for a man who averages four touchdown throws per game over four games, averaging nearly three touchdowns per game going forward is still a tall order. Footballguys.com projected Manning to averaged 2.38 touchdowns per game this year. In 2012, he threw 37 touchdowns, an average of 2.31 touchdowns per game. From 2003 to 2012, excluding games1 he exited early, Manning averaged 2.17 touchdown passes per game. As a Colt, Manning averaged 1.92 touchdowns per game.

It doesn’t take any advanced math skills to figure out that Manning is likely to average somewhere between 2 and 4 touchdowns per game over the rest of the season. But that doesn’t help us very much: we need to be precise, since the threshold he needs to hit is 2.92 touchdowns per game. I’ll get to the more complicated math in Part II. For now, let’s look at some history.
[click to continue…]

  1. That was after removing week 17 of the ’04, ’05, ’07, ’08, and ’09 seasons, and week 16 of the ’05 and ’09 seasons, when Manning left early. Why did I pick the last ten years? I don’t know, but he won his first MVP in ’03, so that seemed like a useful starting point. []
{ 5 comments }

New York Times: Post-Week 4, 2013

This week at the New York Times, I examine the brothers Manning:

Twenty months ago, Eli Manning and the Giants won the Super Bowl at Lucas Oil Field in Indianapolis, the home stadium of his All-Pro brother, Peyton. This year, Peyton seems poised to return the favor. No team is hotter through four weeks than the Denver Broncos. Although five teams are undefeated, the Broncos’ scorched-earth pace makes them the front-runners for the Super Bowl at MetLife Stadium.

At least, that is how it appears. The Broncos have outscored opponents by an average of 22 points. The Patriots are 4-0, too, but New England has won by 8 points a game. As it turns out, that differential means the Broncos are much more likely to be the better team over the rest of the season.

Consider that from 1990 to 2012, 66 teams began the season 4-0; on average, those teams won a more modest 61 percent of their games over the final three-quarters of the season. In other words, a perfect start to the season does not guarantee much, to which the 2012 Arizona Cardinals can attest.

By looking at points allowed and points scored, we can get more precise estimates of how many wins we can expect from a team over the rest of the season. Using the 66 undefeated teams to start the season since 1990, a linear regression model — using points scored and points allowed as the two input variables — has the Broncos winning 13.5 games this season, well ahead of the Patriots. (Of course, the regression model does not know that the Patriots will be getting Rob Gronkowski and Danny Amendola back from injury.)

You can read the full article here.

{ 0 comments }

Those are some clutch shirts

Those are some clutch shirts.

Eight years ago — almost to the day — our old PFR colleague Doug Drinen wrote a Sabernomics post about “The Manning Index”, a metric designed to roughly gauge the clutchness (or chokeitude) of a given quarterback by looking at how he did relative to expectations (he revived this concept in version two, six years ago). In a nutshell, Doug used the location of the game and the win differential of the two teams involved to establish an expected winning percentage for each quarterback in a given matchup. He then added those up across all of a quarterback’s playoff starts, and compared to the number of wins he actually had. Therefore, quarterbacks who frequently exceeded expectations in playoff games could be considered “clutch” while those who often fell short (like the Index’s namesake, Peyton Manning) might just be inveterate chokers.

Doug ran that study in the midst of the 2004-05 playoffs, so it shouldn’t be surprising that Tom Brady (who was at the time 8-0 as a playoff starter and would run it to 10-0 before ever suffering a loss) came out on top, winning 3.5 more games than you’d expect from the particulars of the games he started. Fast-forward eight years, though, and you get this list of quarterbacks who debuted after 1977:
[click to continue…]

{ 34 comments }

Reviewing the Divisional Round of the Playoffs

The Best Weekend of the Year lived up to its reputation this weekend, as the divisional round of the playoffs gave us three outstanding games. Here is my reaction, with a disproportionate amount of time spent on the Denver-Baltimore game, because, well, if you saw it, you’d understand.

Baltimore 38, Denver 35

One of the best playoff games in NFL history, and an instant classic. This game could be analyzed for hours and there are countless talking points (Fox playing not to lose, Manning’s playoff failures, Ray Lewis’ retirement tour making at least one last stop, Tim Tebow anyone?) that will fill up the schedules of ESPN and talk radio for weeks. But let’s start with a big picture review of the game from the perspective of the team I expected to win the Super Bowl.

If you want to assign credit and blame to Denver, this is how I would rank the five Broncos units on Saturday, from best to worst.

1) Special teams. Sure, Matt Prater missed a long field goal, but Trindon Holliday’s two return touchdowns were a thing of beauty — especially for fans of excellent blocking. Holliday’s runs were more about textbook blocking by the return unit and poor coverage by the Ravens than Holliday himself, but in any event, the Broncos special teams had a great day. In fact, here is how Pro-Football-Reference broke down the game by unit in terms of Expected Points Added:
[click to continue…]

{ 33 comments }

I was on vacation last week, so I provided just a bare bones set of NFL playoff predictions. Technically, my picks went 4-0 on Wildcard Weekend, but that doesn’t count for much when you pick the favorite in every game. With a little more time on my hands, here’s an in-depth preview of Saturday’s games. Tomorrow I’ll be previewing Sunday’s action.

Baltimore Ravens (10-6) (+9.5) at Denver Broncos (13-3), Saturday 4:30PM ET

Manning looks for to win another Super Bowl

Manning points to his glove dealer.

Most of the signs in this game point squarely in the favor of Peyton Manning and the Broncos. Baltimore has wildly underachieved on the road the last few seasons, and in Denver does not seem like the optimal place for that trend to reverse itself. From 2002 to 2010, Manning went 8-0 against the Ravens, including a 2-0 mark in playoff games. If you double his numbers in those games (to approximate a 16-game season), Manning would have thrown for 4,044 yards and 28 touchdowns against just 12 interceptions, while averaging 7.8 Y/A and 7.9 AY/A to go with a 65.6% completion rate and a 97.7 passer rating. Manning was similarly lethal in Denver’s win over the Ravens in Baltimore earlier this year.
[click to continue…]

{ 5 comments }

Is this a thinly-veiled Brady/Manning post?

Is this a thinly-veiled Brady/Manning post?

Last weekend, I looked at career rushing stats in wins and losses; today I will do the same but for quarterbacks.

I looked at all games, including playoffs, from 1960 to 2011, for all quarterbacks with at least 5,000 career passing yards over that time period. The table below lists the following information for each passer:

– His first year (or 1960, if he played before 1960) and his last year (or 2011, if still active)
– All the franchises he played for (which you can search for in the search box)
– His number of career wins, and his touchdown rate, interception rate, yards per attempt and Adjusted Yards per Attempt (which includes a 20-yard bonus for touchdown passes and a 45-yard penalty for interceptions) in wins1
– His number of career losses, and his touchdown rate, interception rate, yards per attempt and Adjusted Yards per Attempt in losses

The table is sorted by AY/A in wins; unsurprisingly, Aaron Rodgers — who is the career leader in that metric — tops this table, too. In fact, Rodgers is also the leader in AY/A in losses. Note that this table includes all games played by the quarterback, not just his starts.

Rk
Player
Years
Teams
PYD
Win
TD%_W
INT%_W
Y/A_W
AY/A_W
Loss
TD%_L
INT%_L
Y/A_L
AY/A_L
1Aaron Rodgers2005--2011gnb19147497.6%1.3%8.78.3274.3%2.5%7.46.4
2Matt Schaub2004--2011atl-htx17936485.3%1.7%8.78.1533.5%3.3%7.25.8
3Tony Romo2005--2011dal21666606.6%2.1%8.77.9434.3%3.4%75.5
4Kurt Warner1998--2009ram-nyg-crd36296816.8%2.2%8.77.8573.3%4.4%7.25.3
5Daunte Culpepper1999--2009min-mia-rai-det25133457.1%2.2%8.77.8643.3%4%6.95.1
6Bob Berry1965--1975min-atl9197327.4%2.3%8.67.7364.2%7.4%7.13.8
7Steve Young1985--1999tam-sfo364501256.8%1.7%8.37.6602.9%4.2%7.25.3
8Philip Rivers2004--2011sdg26105696.2%2.3%8.57.6394%3.1%7.36
9Ben Roethlisberger2004--2011pit29729905.7%2.2%8.47.6383.7%4.9%7.25
10John Friesz1990--2000sdg-was-sea-nwe8699195%1%7.87.5382.6%4%5.84
11Bart Starr1960--1971gnb22810996.6%2.9%8.67.5412.4%5.9%6.74.1
12Don Meredith1960--1968dal17750518.5%3.3%8.87.5503.5%6%6.23.6
13Drew Brees2001--2011sdg-nor43722976.5%1.7%87.4663.4%3.7%6.75.1
14Ken O'Brien1984--1993nyj-phi25598565.8%1.7%87.4722.1%3.6%6.34.7
15J.P. Losman2004--2011buf-rai-mia6271175.8%1.5%7.97.4282.5%4.4%6.14.1
16Trent Green1997--2008was-ram-kan-mia28794595.3%2.1%8.27.3633.6%3.8%7.15.5
17Rob Johnson1995--2003jax-buf-tam-was-rai5947204.8%1.5%7.97.3252.8%3.6%6.75.1
18Chad Pennington2000--2010nyj-mia19241465.1%1.2%7.77.3493.2%4.1%6.64.9
19Boomer Esiason1984--1997cin-nyj-crd38520896.6%2.4%8.27.31033.3%4.4%6.54.6
20Neil Lomax1981--1988crd23156486.4%2.1%8.17.3593%3.3%6.65.2
21David Garrard2002--2010jax16489455.3%1.4%7.87.3442.7%3.4%6.44.9
22Matthew Stafford2009--2011det8220138.1%1.8%7.97.2173.4%4.4%6.34.4
23Joe Montana1979--1994sfo-kan463231406.4%2.2%8.17.2602.7%3.4%6.34.9
24Eddie LeBaron1960--1963dal53311112.5%5.5%9.47.2314.7%8.7%7.13.3
25Peyton Manning1998--2010clt602171506.3%1.9%87.2773.9%4.1%6.95.2
26Ed Brown1960--1965chi-pit-clt7723357.7%5.8%9.77.2332.9%8.8%6.52.6
27Wade Wilson1981--1998min-atl-nor-dal-rai18605666.1%2.6%8.37.2632.4%5.3%6.23.9
28Jay Cutler2006--2011den-chi18637426.6%2.2%8.17.2382.7%4.6%6.54.5
29Josh Freeman2009--2011tam8898175.6%1.8%7.97.2242.8%4.6%6.14.1
30Tom Brady2000--2011nwe452641406.1%1.6%7.87.2433.6%4.2%6.34.5
31Matt Moore2007--2011car-mia5137176.2%1.8%7.87.1192.8%5%6.24
32Chris Chandler1988--2004clt-tam-crd-ram-oti-atl-chi29212725.9%2.6%8.27.11053.1%4.4%6.44.4
33Len Dawson1960--1975cle-kan301121058.7%3.6%8.67.1643.2%6.3%6.63.8
34Joe Flacco2008--2011rav15348494.6%1.2%7.67.1243%4.4%5.94
35Trent Edwards2007--2010buf-jax6019144%1.6%7.77.1222%4.3%5.73.8
36Jeff Garcia1999--2009sfo-cle-det-phi-tam26894635.4%1.3%7.57.1683.4%3.1%6.45.1
37Ken Anderson1971--1986cin341591006.2%2.4%87.1922.7%4.7%6.74.7
38Rudy Bukich1960--1968pit-chi7865307.5%3.5%8.57353.5%8.6%62.3
39Troy Aikman1989--2000dal367911054.8%2.1%7.97762.1%4.1%64.2
40Damon Huard1998--2008mia-nwe-kan6349204.9%1.1%7.47242%4.3%5.84
41Jim Everett1986--1997ram-nor-sdg35957665.7%2.6%8.17973.2%4.2%6.54.6
42Roger Staubach1969--1979dal254911066.1%2.5%87443.5%6.3%6.73.9
43Bert Jones1973--1982clt-ram18589476.4%3.1%8.27583.6%4.6%6.34.3
44Frank Reich1985--1998buf-car-nyj-det6858398.8%2.1%7.77393.3%4.3%6.34.4
45Jeff Hostetler1986--1997nyg-rai-was17464705.5%1.9%7.77402.3%4.1%6.34.5
46Dan Fouts1973--1987sdg45165915.9%3.2%8.36.9953.1%5.5%7.14.7
47Bill Kenney1980--1988kan17374375.9%2.5%86.9493.2%4.2%6.54.6
48Y.A. Tittle1960--1964sfo-nyg11542408.9%4.3%8.76.9232.5%6.9%5.72.7
49Mark Brunell1994--2011gnb-jax-was-nor-nyj33905994.8%1.8%7.66.9913.2%2.9%6.24.9
50Aaron Brooks2000--2006nor-rai20822415.8%1.6%7.56.9543.3%4.1%6.44.7
51Patrick Ramsey2002--2008was-nyj-den5929165.2%2.3%7.86.9243.1%3.8%5.84.2
52Scott Mitchell1992--2001mia-det-rav-cin15925406%2.1%7.76.9452.6%4.6%5.93.9
53Randy Wright1984--1988gnb7106125.4%3.4%8.36.9332.2%5.5%5.93.5
54Rich Gannon1987--2004min-was-kan-rai30434915.5%1.5%7.46.9713%3.6%6.24.6
55Earl Morrall1960--1976det-nyg-clt-mia17529927.9%4.8%8.96.9444.2%6.9%6.63.6
56Sonny Jurgensen1960--1974phi-was31546747.7%3.9%8.46.9794.5%4.9%6.84.7
57Steve DeBerg1978--1998sfo-den-tam-kan-mia-atl34752725.4%2.3%7.86.91143.2%4.9%6.44.2
58Steve Beuerlein1988--2003rai-dal-crd-jax-car-den24317645.6%2.3%7.86.8663.4%4.2%6.85
59Fran Tarkenton1961--1978min-nyg488061316.8%2.8%86.81173.6%5.5%6.54.1
60John Brodie1960--1973sfo30783786.7%3.3%8.26.8793.3%6%6.13.5
61Doug Flutie1986--2005chi-nwe-buf-sdg15209485.2%2.4%7.86.8452.9%3.9%64.3
62Johnny Unitas1960--1973clt-sdg323351076.3%3.8%8.46.8592.7%7.3%6.53.2
63Joe Namath1965--1977nyj-ram28299686.4%4%8.56.8713.3%6.8%6.53.5
64Matt Ryan2008--2011atl14832436.1%1.9%7.56.8222.4%3%6.14.8
65Craig Erickson1992--1997tam-clt-mia7625184.8%2.7%7.96.8343.2%3.9%6.54.8
66Marc Bulger2002--2009ram23758424.9%2.6%7.86.8573.1%3.3%6.85.4
67Matt Cassel2005--2011nwe-kan11769425.1%2%7.66.8303.5%3.3%5.74.3
68Tom Flores1960--1969rai-buf-kan11960408.3%3.8%8.36.8442.8%6.7%5.72.8
69Phil Simms1979--1993nyg351411025.3%2.5%7.76.7723%4.3%6.44.6
70Derek Anderson2006--2011cle-crd-car9148215.5%2.4%7.76.7322.7%4.6%5.73.6
71Michael Vick2001--2011atl-phi18889655.8%2.4%7.76.7512.8%3.4%6.34.9
72Brett Favre1991--2010atl-gnb-nyj-min776932016.3%2.2%7.66.71253.2%4.9%6.44.3
73Craig Morton1965--1982dal-nyg-den291431186.7%3.7%8.26.7822.6%6.5%6.23.4
74Steve Pelluer1985--1990dal-kan6870173.3%2.2%7.66.7262.9%4.7%6.94.8
75Dan Marino1983--1999mia658711555.7%2.4%7.76.71054.1%3.9%6.85.1
76Donovan McNabb1999--2011phi-was-min408591065.4%2%7.46.7742.9%2.6%6.15
77Dave Krieg1980--1998sea-kan-det-crd-chi-oti400421136.7%3%7.96.7983%4.4%6.54.5
78Warren Moon1984--2000oti-min-sea-kan521951085.5%2.6%7.76.61103.1%4.2%6.84.9
79Jim Kelly1986--1996buf393301106.1%3.2%86.6673.1%4.6%6.64.6
80John Hadl1962--1977sdg-ram-gnb-oti339411037%3.7%8.26.6923.3%7.8%6.12.7
81Bernie Kosar1985--1996cle-dal-mia25254674.8%1.9%7.46.6663.1%3.4%6.65.1
82Jake Delhomme1999--2011nor-car-cle-htx22822655.5%2.9%7.86.6453.1%4.2%6.64.8
83Vince Evans1977--1995chi-rai9511377.1%3.8%8.26.6572.4%6%6.33.6
84John Elway1983--1998den564391635%2.6%7.76.6922.8%3.9%6.34.6
85Drew Bledsoe1993--2006nwe-buf-dal459461025.1%1.9%7.46.6992.4%4.2%5.94
86Jason Campbell2006--2011was-rai14417323.8%1.7%7.36.6393.3%2.7%6.45.3
87Pete Liske1964--1972nyj-den-phi5170167%2.6%7.66.6232.2%8.2%5.92.3
88Jeff George1990--2001clt-atl-rai-min-was28603485.5%2.7%7.76.6853.2%2.9%6.65.4
89Alex Smith2005--2011sfo13038334.4%1.1%76.6392.9%4.3%64.1
90Jim Zorn1976--1987sea-gnb-tam21249524.9%2.9%7.86.6682.8%5.4%6.13.7
91Lynn Dickey1971--1985oti-gnb23914526.5%4.4%8.46.6763.5%6.6%74.1
92Jon Kitna1997--2011sea-cin-det-dal30104565.7%2%7.46.6862.8%4.7%6.34.3
93Eric Hipple1981--1989det11009306.3%3%7.86.6361.8%5.5%6.44
94Bob Griese1967--1980mia265591087.4%3.9%8.16.5623.5%6.4%6.43.5
95Chris Miller1987--1999atl-ram-den19789375.7%2.4%7.56.5633.6%4.2%6.34.5
96Gus Frerotte1994--2008was-det-den-cin-min-mia-ram21666585.1%2.7%7.66.5602.5%4.1%6.24.4
97Matt Hasselbeck1999--2011gnb-sea-oti35891915.1%2.4%7.56.5803%3.4%6.34.8
98Tarvaris Jackson2006--2011min-sea7239274.5%3.1%7.86.5232.8%3.4%5.84.3
99Jeff Blake1992--2005nyj-cin-nor-rav-crd-phi-chi21711425.1%2.1%7.46.5773.6%3.6%6.34.7
100Tony Eason1983--1990nwe-nyj11703355.1%2.8%7.76.5313.3%3.4%6.75.2
101Jim Harbaugh1987--2000chi-clt-rav-sdg27194784.8%2.1%7.36.5932.3%3.6%6.24.6
102Don Majkowski1987--1996gnb-clt-det12906344.8%2.8%7.76.5432.6%4.2%64.2
103Gary Hogeboom1982--1989dal-clt-crd9598315.1%2.6%7.56.5282.7%6.1%6.74
104Joe Theismann1974--1985was26988956%2.8%7.66.5592.4%5.1%6.34.1
105Randall Cunningham1985--2001phi-min-dal-rav32405986.1%2.6%7.66.5733.1%3.6%6.34.7
106Byron Leftwich2003--2010jax-atl-pit-tam10439305%1.6%7.16.5312.6%3.5%6.24.7
107Tony Banks1996--2005ram-rav-was-htx15315435.2%2.2%7.46.5522%3.7%5.94.3
108Bobby Hebert1985--1996nor-atl22331635.2%3%7.76.5553.5%5%6.24.1
109Greg Landry1968--1984det-clt-chi16100556.7%3.9%8.16.5652.5%4.7%6.34.2
110Eli Manning2004--2011nyg30095775.5%2.2%7.36.4543.7%4.5%6.74.7
111Jay Fiedler1998--2005min-jax-mia-nyj12499505%2.6%7.56.4292.5%5.9%63.4
112Stan Humphries1989--1997was-sdg18538554.4%2.3%7.46.4392.2%5.1%5.93.7
113Jim Plunkett1971--1986nwe-sfo-rai28175855.6%3.4%7.96.4823.2%7.1%6.43.2
114Elvis Grbac1994--2001sfo-kan-rav17492614.8%2.4%7.46.4393.1%4.4%6.24.3
115Richard Todd1976--1985nyj-nor21636515.2%3.6%7.96.4703.2%7%6.23.1
116Steve Grogan1975--1990nwe27457806.7%4.3%8.26.4713.5%7.2%6.83.6
117Frank Ryan1960--1970ram-cle-was15833669.3%4.4%8.26.4424%6.1%6.63.9
118Carson Palmer2004--2011cin-rai25659505.9%2.9%7.66.4593.8%3.5%6.95.3
119Shaun Hill2005--2011min-sfo-det6209185.5%1.8%7.16.4163.2%2.8%6.35.1
120Mark Rypien1988--2001was-cle-ram-phi-clt20249585.7%3.3%7.76.4472.9%3.6%6.54.9
121Bubby Brister1986--2000pit-phi-nyj-den-min14801475.7%2.3%7.36.4511.9%4.3%5.93.9
122Kerry Collins1995--2011car-nor-nyg-rai-oti-clt42478924.4%2.1%7.26.41132.7%4%6.14.3
123Steve McNair1995--2007oti-rav330681004.6%2.1%7.26.4722.6%3.4%6.44.9
124Charlie Batch1998--2011det-pit10610405.2%2.8%7.56.3373.1%3.4%6.65.1
125Bill Nelsen1963--1972pit-cle15004466.5%4.1%86.3433%7.2%6.53.4
126Charley Johnson1961--1975crd-oti-den24410687.3%4.7%8.36.3703%5.9%6.33.6
127Steve Bartkowski1975--1986atl-ram24916605.9%3.1%7.66.3733.5%5.2%6.54.3
128Sam Bradford2010--2011ram567684.1%1.5%6.96.3181.9%2.5%5.64.5
129Gary Danielson1977--1988det-cle14000424.9%2.9%7.56.3433.5%5.3%6.74.4
130Brian Sipe1974--1983cle23896606%3.2%7.66.3623%5.4%6.23.8
131Jay Schroeder1985--1994was-rai-cin-crd20854715.2%2.7%7.46.3502.7%5.3%6.64.3
132Virgil Carter1968--1976chi-cin-sdg5127215.7%3%7.56.3242.1%4.7%5.63.5
133Tommy Kramer1977--1990min-nor25651645.9%2.8%7.46.3662.9%5.7%6.23.7
134Brad Johnson1994--2008min-was-tam-dal304571024.6%2.1%7.16.2702.9%3.9%6.24.5
135Kelly Holcomb1995--2007tam-clt-cle-buf-min645395.5%3.4%7.76.2294%4.5%6.54.6
136Quincy Carter2001--2004dal-nyj6491204.7%2.2%7.16.2181.8%5.3%5.93.5
137Ryan Fitzpatrick2005--2011ram-cin-buf10936226.2%2.4%7.26.2342.9%4.5%5.93.9
138Neil O'Donnell1991--2003pit-nyj-cin-oti23399725%2%76.2582.5%2.3%6.35.4
139James Harris1969--1979buf-ram-sdg8479445.8%4.2%86.2341.8%6.6%63.1
140Brian Griese1998--2008den-mia-tam-chi19440535.2%2.8%7.46.2403.3%4.2%6.64.7
141Terry Bradshaw1970--1983pit318221257%4.3%86.2623%7.3%6.12.9
142Bill Munson1964--1979ram-det-sea-sdg-buf12940416.4%2.6%7.26.2582.8%5%6.13.9
143Steve Tensi1966--1970sdg-den5558158.5%4.4%86.1293.5%5.7%5.83.3
144Jeff Kemp1981--1991ram-sfo-sea-phi6403286.7%2.9%7.36.1261.9%5.5%6.33.8
145Ty Detmer1993--2001gnb-phi-sfo-cle-det6499184.9%2.5%7.16.1242.7%4.6%6.54.4
146Billy Wade1960--1966ram-chi11390346.1%3.5%7.66.1333.8%6.3%6.43.7
147Dave M. Brown1992--2000nyg-crd10304294.1%2.5%7.26.1421.9%4.2%5.84
148Mark Sanchez2009--2011nyj10364305.1%2%6.96.1222.9%5%6.24
149Joe Ferguson1973--1990buf-det-tam-clt30631836.4%3.1%7.46.11073%5.8%6.13.5
150Norm Snead1961--1976was-phi-min-nyg-sfo30797576.9%4.3%7.96.11143.5%6.7%6.73.7
151Dennis Shaw1970--1975buf-crd6347125.9%5.3%8.46.1342.8%8.1%6.52.9
152Vince Ferragamo1977--1986ram-buf-gnb12564357.1%3.7%7.66.1422.9%7.1%6.53.4
153Jake Plummer1997--2006crd-den30593744.7%2.5%7.16.1752.9%4.8%6.44.3
154Tommy Maddox1992--2005den-ram-nyg-pit8754275.9%3.2%7.46.1282.6%5.3%6.13.7
155Daryle Lamonica1963--1974buf-rai210821047.8%4.6%86.1373%7.3%62.8
156Kyle Orton2005--2011chi-den-kan14532364.5%1.9%6.86.1353%3.1%6.45
157Roman Gabriel1962--1977ram-phi29780875.7%2.6%7.16.1793.2%4%5.84.1
158Bob Lee1969--1980min-atl-ram5416605.9%4.8%8.16.1241.2%6.2%52.3
159David Carr2002--2010htx-car-nyg-sfo14433323.4%2.2%76.1612.7%3.4%6.24.7
160Jack Trudeau1986--1995clt-nyj-car10494253.2%2.4%7.16432.3%5.2%5.83.5
161Steve Fuller1979--1986kan-chi7454334%3.5%7.56291.9%4%6.24.5
162Danny White1976--1988dal242431245.8%4%7.76594%5.3%6.74.4
163Archie Manning1971--1984nor-oti-min23911374.4%3.2%7.461103.1%5.1%6.34.1
164Ken Stabler1970--1984rai-oti-nor305791106.6%4.6%7.96643%7.3%6.53.3
165Doug Williams1978--1989tam-was18108495.4%2.8%7.26453.1%4.8%6.54.4
166Joe Pisarcik1977--1984nyg-phi5552254.6%4.1%7.86322.1%5.7%5.73.1
167Jim McMahon1982--1996chi-sdg-phi-min-crd-gnb19260864.5%3.3%7.46402.6%3.8%6.44.8
168Milt Plum1960--1969cle-det-ram-nyg13335466.9%4.9%8.16403.1%6%6.33.7
169Ron Jaworski1974--1989ram-phi-mia-kan29859895.4%2.9%7.26793.4%4.8%6.54.4
170Rodney Peete1989--2004det-dal-phi-was-car16636554.3%3.4%7.56482.2%4.3%6.54.6
171Vinny Testaverde1987--2007tam-cle-rav-nyj-dal-nwe-car475531025.3%3.1%7.361373.3%4.5%6.74.7
172Billy Kilmer1961--1978sfo-nor-was21555886.7%3.7%7.56813.3%5.9%6.13.5
173Tim Couch1999--2003cle11131225.5%3.2%7.36402.7%4.3%64.1
174Erik Kramer1987--1999atl-det-chi-sdg16336384.9%2.4%76483.4%4.1%6.54.7
175Trent Dilfer1994--2007tam-rav-sea-cle-sfo21489685.3%2.7%7.16652%5.1%63.7
176Mike Pagel1982--1993clt-cle-ram9593224.5%2.6%7.16532.9%4.9%63.8
177Kordell Stewart1995--2005pit-chi-rav15490763.5%2.1%6.85.9542.7%5.6%5.53
178Chad Henne2008--2011mia7114143.6%1.7%6.65.9202.4%4.6%6.74.7
179Jim Hart1966--1984crd-was35156935.7%4%7.65.91032.9%5.5%6.23.8
180Vince Young2006--2011oti-phi9102354.5%3%7.15.9272.2%4.9%6.54.3
181Josh McCown2002--2011crd-det-rai-car-chi6998154.2%1.6%6.55.9362.9%5.2%6.23.9
182Mark Malone1981--1989pit-sdg-nyj10733296.3%3%7.15.8442.3%5.9%5.83.2
183Babe Parilli1960--1969rai-nwe-nyj18778647.1%4.1%7.55.8473.2%7.5%5.92.5
184Don Strock1974--1988mia-cle5913377.1%3.6%7.35.8304.5%7.3%6.63.3
185Dick Wood1962--1966sdg-nyj-rai-mia7153177.1%3.4%7.25.8282.6%7.3%5.32.1
186Shaun King1999--2004tam-crd5057195.9%2.3%6.75.8161.1%4.1%5.53.7
187Pat Haden1976--1981ram10024414.4%2.9%75.8263.1%7.1%6.43.3
188Bobby Douglass1969--1978chi-sdg-nor-gnb6493166.2%3.5%7.25.8572.1%5.8%5.12.5
189Cotton Davidson1960--1968kan-rai11451306.5%4.1%7.55.7402.9%7.2%6.33.1
190Steve Bono1985--1999min-pit-sfo-kan-gnb-ram-car10576494.6%1.8%6.45.7262.5%3.7%5.74.1
191Marc Wilson1980--1990rai-nwe14526395.8%4%7.45.7422.8%5.8%6.53.9
192Billy Joe Tolliver1989--1999sdg-atl-oti-kan-nor10760245%2.6%6.85.7533%4.1%6.14.4
193Rick Mirer1993--2003sea-chi-nyj-sfo-rai11969273.9%2.4%6.65.6521.8%4.4%5.53.5
194Steve Ramsey1970--1976nor-den6437235.4%5.9%8.15.6282.4%6.5%6.33.4
195Jacky Lee1960--1969oti-den-kan6191309%7%8.55.5294%6.9%6.63.6
196Hugh Millen1987--1995ram-atl-nwe-den644082.3%4.2%7.45.5302.4%3.6%6.85.2
197Jim Ninowski1960--1969det-cle-was-nor6953334.3%4.5%7.55.5272.6%7.4%6.22.9
198Dave Wilson1981--1988nor7007164.2%5.2%7.85.5373.1%5.5%6.23.8
199Kyle Boller2003--2011rav-ram-rai8931304.1%1.7%6.25.5362.6%4.7%5.73.6
200Joey Harrington2002--2007det-mia-atl14693274.4%2.2%6.45.5552.5%3.8%5.53.9
201Todd Blackledge1983--1989kan-pit5366225.2%3.4%6.95.5221.7%5.2%5.32.9
202Mike Tomczak1985--1999chi-gnb-cle-pit16963793.8%3.9%7.15.5593.4%5.3%6.64.2
203Mike Livingston1968--1979kan11295374.4%3.2%6.85.5522.4%5.7%6.23.7
204Danny Kanell1996--2003nyg-atl-den5328145.3%2.5%6.55.5252.2%4%4.93.2
205Steve Dils1980--1988min-ram-atl5816183.5%2.6%6.55.4292.4%3.6%5.74.1
206Jack Thompson1979--1984cin-tam5329155.3%1.8%6.15.4303.5%6.2%6.33.6
207Kent Graham1992--2001nyg-crd-pit-was7801274.4%1.6%65.4331.8%3.1%5.74.3
208David Woodley1980--1985mia-pit9203384.4%3.5%6.95.4243%7.4%6.33.1
209Randy Johnson1966--1976atl-nyg-was-gnb8329147.8%4.4%7.25.4583.2%7.6%6.33
210Rex Grossman2003--2011chi-htx-was11015304.7%3.3%6.85.4272.3%4.3%6.24.3
211Jim Miller1995--2002pit-chi6410203.9%2.9%6.65.3183%3.2%5.64.3
212Dan Pastorini1971--1983oti-rai-ram-phi19469624.6%4.2%7.15.3812.5%6.1%5.42.7
213Paul McDonald1980--1984cle5550123.8%3.4%6.85.3232.8%5.1%74.7
214George Blanda1960--1975oti-rai220291428.4%6%7.85.3793.9%8%6.12.5
215Jack Kemp1960--1969sdg-buf22256714.6%5.2%7.55.2462.2%7.1%6.23
216David Whitehurst1977--1983gnb6205216.1%5.3%7.45.1301.1%5.4%5.73.3
217Zeke Bratkowski1960--1971chi-ram-gnb8005304.7%5.5%7.55.1453.5%8.9%6.62.7
218Steve Spurrier1967--1976sfo-tam6878486.4%4.9%7.15.1532.2%5.2%5.43.1
219Joe Kapp1967--1970min-nwe6746266.6%6.2%7.75.1262.2%8.1%5.72.1
220Bob Avellini1975--1984chi7288304.2%5.9%7.55362.3%6.8%5.72.7
221Frank Tripucka1960--1963den7676135.1%5.9%7.55293.3%6.7%5.22.3
222Pete Beathard1964--1973kan-oti-crd-ram8544404.5%5.3%7.24.9342.5%7.3%5.62.4
223Gary Cuozzo1963--1972clt-nor-min-crd7688474.6%3.9%6.54.9352.9%5.7%63.5
224Al Dorow1960--1962nyj-buf5732145.7%5%6.94.8184.7%8.5%5.82.1
225Steve Walsh1989--1999dal-nor-chi-ram-tam-clt8248273.9%3.2%6.24.8342.4%4.5%5.93.9
226Mike Phipps1970--1981cle-chi10806504.5%3.7%6.44.8511.7%8.4%5.31.6
227Scott Brunner1980--1985nyg-crd6843163.7%3.7%6.34.7293%5.8%6.23.6
228Jack Concannon1964--1975phi-chi-gnb-det6270274.6%4.3%6.54.6322.5%6.8%5.12.1
229Mike Taliaferro1964--1972nyj-nwe-buf5241198.2%4.7%6.34.4412.2%7.2%5.11.9

[click to continue…]

  1. Unfortunately, I excluded sack data from this study due to its general unavailability for most of the covered time period. []
{ 0 comments }

NYT Fifth Down: Post-week 17

At the New York Times Fifth Down Blog this week, I explain my choices for the major awards this season.

Offensive Player of the Year: Adrian Peterson, Minnesota Vikings

Generally, the Most Valuable Player award is given to the best quarterback, while the Offensive Player of the Year is usually the player with the most impressive statistics. In the last five years, Tom Brady — first in 2007, and then again in 2010 — is the only player to take home both awards in the same season. Last year, Drew Brees won the award while Aaron Rodgers took home the M.V.P., but running backs Priest Holmes (2002), Jamal Lewis (2003), Shaun Alexander (2005), LaDainian Tomlinson (2006), and Chris Johnson (2009) have all won the award in the last decade. While Calvin Johnson will probably get some support for breaking Jerry Rice’s single-season record for receiving yards, Adrian Peterson has had this award locked up for a month, and finishing the season with 2,097 yards was the icing on the cake.

I don’t think you’ll find too many people arguing about this one. Peterson’s story is outstanding, and it’s hard to argue that he didn’t provide the single most impressive performance by an offensive player this year. Quarterbacks may be more valuable, but it’s hard not to just sit back and admire what Peterson’s done. Johnson’s also had a magnificent season, but he was greatly aided by the Lions also breaking the record for pass attempts in a season.

Defensive Player of the Year: J.J. Watt, Houston Texans

The shine is off the Texans, but there’s no denying that their star lineman has been outstanding this year. If the stars were aligned slightly differently — say, the Texans were streaking towards the end of the year, and Watt had a monster primetime game late — he’d have a legitimate chance at the M.V.P. award. Last month, I talked about how this award was a three-man race with the stars all coming from the 2011 Draft. In that article I also mentioned Geno Atkins as a possible darkhorse, and he’s been ever better since. But Watt has 20.5 sacks and the national reputation as the Sultan of Swatt, so this award is pretty easy to predict.

And well justified. Watt’s production as a 3-4 defensive end is remarkable. He now owns the single-season record for sacks by a player at that position, but he’s far from one dimensional. We know that he is fantastic at tipping passes at the line of scrimmage and is excellent in run support. He’s a complete player in every respect, a dominant force at a position that rarely receives media attention.

I’d select Von Miller as my runner-up and give Atkins the bronze. While Aldon Smith gets more attention because of his lofty sack totals, he’s a one-dimensional player. While he’s outstanding at that one dimension, just being a dominant pass rusher only makes him the fourth best defensive player this year. He also disappeared down the stretch, which not coincidentally began when star defensive end Justin Smith went down with a triceps injury.

Comeback Player of the Year: Peyton Manning, Denver Broncos

Peyton Manning missed the entire 2011 season, but as soon as he took the field in 2012 he became the favorite to win Comeback Player of the Year. A quarterback has won this award each of the last four years — Chad Pennington (2008), Tom Brady (2009), Michael Vick (2010), and Matthew Stafford (2011) — and the trend should continue in 2012. Comeback Player of the Year is a two-man race, and there’s no wrong answer when choosing between Manning and Peterson. If the voters could, surely the majority would pick that Manning and Peterson split the award. If ever an award called for a split, this was it.

Peyton Manning’s neck injury was considered career-threatening this time last year. Many questioned his arm strength in the pre-season and in September, but by the end of the year he was once again the best quarterback in the league. It’s simply splitting hairs picking between Manning and Peterson, who tore two ligaments in his knee just over a year ago and rebounded to rush for 2,000 yards. And let’s at least recognize Jamaal Charles, who in any other year would likely take home the award. The Kansas City running back tore the anterior cruciate ligament in his left knee last season, and rebounded to rush for over 1,500 yards in 2012. My guess is that those voters looking for a tiebreaker focus on the fact that Manning missed the entire 2011 season while Peterson ran for 970 yards and 12 touchdowns last year, making Manning more of a “comeback” story.

You can view the full post here.

{ 3 comments }

In 2011, the Broncos scored 309 points and allowed 390 points. Despite being outscored by 81 points, the Tim Tebow express still made it into the post-season. In June, I speculated that the 2012 Broncos might set the record for the largest increase in pass completions in one year, and they did just that on Sunday. They also moved into fourth place on another list.

With 481 points and 289 points allowed, Denver outscored its opponents by 192 points in 2012. Peyton Manning and Von Miller have turned the Broncos into one of the best teams in the league a year after they were one of the worst (at least, as measured by points differential). Denver improving their points differential by a whopping 273 points this year relative to 2011, the fourth largest increase in football history.

Rank
Year
Team
PF
PA
Diff
N-1 PF
N-1 PA
N-1 Diff
Impr
11999St. Louis Rams526242284285378-93377
21929New York Giants3128622679136-57283
32001Chicago Bears338203135216355-139274
42012Denver Broncos481289192309390-81273
51998Minnesota Vikings556296260354359-5265
61975Baltimore Colts395269126190329-139265
72004San Diego Chargers446313133313441-128261
82006New Orleans Saints41332291235398-163254
91965Chicago Bears409275134260379-119253
102008Baltimore Ravens385244141275384-109250
111955Washington Redskins24622224207432-225249
121976New England Patriots376236140258358-100240
131963Oakland Raiders36328281213370-157238
141997New York Jets34828761279454-175236
151923Columbus Tigers119358424174-150234
161987Indianapolis Colts30023862229400-171233
171991Cleveland Browns293298-5228462-234229
181967New York Giants369379-10263501-238228
191969Atlanta Falcons2762688170389-219227
202010Detroit Lions362369-7262494-232225
211976Chicago Bears25321637191379-188225
222001Cleveland Browns285319-34161419-258224
231999Indianapolis Colts42333390310444-134224
242000New Orleans Saints35430549260434-174223
252010St. Louis Rams289328-39175436-261222
{ 1 comment }

These guys are pretty good.

These guys are pretty good.

After posting about SRS-style quarterback ratings on Monday, I was thinking about other things we can do with game-by-game data like that. In his QBGOAT series, Chase likes to compare QBs to the league average, which makes a lot of sense for all-time ratings — you want to reward guys who are at least above-average in a ranking like that. However, if we want seasonal value, perhaps average is too high a baseline.

Over at Football Outsiders, Aaron Schatz has always compared to “replacement level”, borrowing a concept from baseball. I like that approach, but replacement level can be hard to empirically determine. So for the purposes of this post, I wanted to come up with a quick-and-dirty baseline to which we can compare QBs.

To that end, I looked at all players who were not their team’s primary passer in each game since 2010. Weighted by recency and the number of dropbacks by each passer, they performed at roughly a 4.4 Adjusted Net Yards Per Attempt level. This is not necessarily the replacement level, but it does seem to be the “bench level” — i.e., the ANYPA you could expect from a backup-caliber QB across the league.

Using 4.4 ANYPA as the baseline, we get the following values for 2012:

Quarterback
QBYAB
Tom Brady1888.1
Peyton Manning1708.2
Matt Ryan1453.4
Drew Brees1441.8
Aaron Rodgers1337.4
Robert Griffin III1226.6
Matt Schaub1205.1
Josh Freeman1140.1
Cam Newton1128.2
Tony Romo1120.2
Ben Roethlisberger1082.8
Carson Palmer1011.9
Eli Manning1002.9
Joe Flacco914.8
Russell Wilson890.5
Matthew Stafford834.1
Andy Dalton756.9
Andrew Luck691.6
Sam Bradford616.3
Alex Smith558.5
Colin Kaepernick506.5
Ryan Fitzpatrick481.1
Philip Rivers447.7
Ryan Tannehill409.6
Brandon Weeden320.4
Michael Vick317.5
Jake Locker316.9
Jay Cutler293.8
Chad Henne217.4
Kirk Cousins156.8
Nick Foles152.5
Shaun Hill151.9
Matt Hasselbeck134.0
Kevin Kolb121.4
Blaine Gabbert92.2
Christian Ponder91.0
Mohamed Sanu87.7
Kyle Orton62.8
Matt Moore52.5
Derek Anderson30.1
Matt Flynn23.7
Dan Orlovsky17.6
Greg McElroy11.4
Tyrod Taylor9.2
Rusty Smith9.1
Chase Daniel5.6
Tyler Thigpen2.7
Graham Harrell-1.6
Terrelle Pryor-4.4
Matt Leinart-5.1
David Carr-5.9
Tim Tebow-6.3
Mark Sanchez-13.3
Charlie Batch-17.8
Kellen Clemens-22.4
Ryan Mallett-45.9
Byron Leftwich-46.6
Matt Cassel-47.7
Brad Smith-50.0
T.J. Yates-55.1
Jason Campbell-88.4
Brady Quinn-146.4
John Skelton-309.2
Ryan Lindley-382.0

If we weigh each game by how recent the results took place, we get this list:

Quarterback
Wgtd QBYAB
Tom Brady1527.6
Drew Brees1205.4
Peyton Manning1202.0
Matt Ryan1129.8
Aaron Rodgers1109.4
Tony Romo961.1
Cam Newton936.6
Matt Schaub900.3
Robert Griffin III869.5
Eli Manning795.5
Ben Roethlisberger793.9
Josh Freeman790.3
Carson Palmer760.4
Russell Wilson722.9
Matthew Stafford687.5
Joe Flacco666.3
Andy Dalton520.4
Andrew Luck479.9
Sam Bradford459.9
Colin Kaepernick443.0
Alex Smith399.3
Philip Rivers384.9
Ryan Fitzpatrick324.0
Ryan Tannehill313.1
Brandon Weeden266.5
Michael Vick249.9
Jay Cutler236.8
Jake Locker192.4
Chad Henne178.7
Kirk Cousins158.7
Nick Foles150.5
Matt Hasselbeck133.1
Shaun Hill84.4
Kevin Kolb70.6
Matt Moore64.8
Kyle Orton59.8
Mohamed Sanu47.4
Matt Flynn47.4
Blaine Gabbert39.9
Dan Orlovsky26.3
Tim Tebow16.3
Derek Anderson16.3
Greg McElroy10.3
Chase Daniel5.1
Rusty Smith4.8
Tyrod Taylor4.0
Tyler Thigpen-0.8
Graham Harrell-1.4
Matt Leinart-2.8
David Carr-3.3
Terrelle Pryor-4.4
Charlie Batch-7.6
Kellen Clemens-14.0
Matt Cassel-24.2
T.J. Yates-29.7
Brad Smith-33.2
Byron Leftwich-38.3
Christian Ponder-39.4
Ryan Mallett-44.6
Jason Campbell-51.1
Mark Sanchez-91.0
Brady Quinn-113.4
John Skelton-263.6
Ryan Lindley-340.5

This kind of thing isn’t exactly the most advanced stat in the world, but it’s pretty good if you want to sort QBs into general groups based on how good they are (the assumption being that a player who never plays is implicitly a bench-level player by definition).

{ 2 comments }

Adjusting team sack rates in the NFL for SOS

I’ve got sacks on the mind today. A few hours ago, I looked at the single-season sack records by various players in both the 3-4 and 4-3. Today I also want to look at things from the team perspective. In 2012, which team is the best at getting to the quarterback? You might think that’s as simple as looking at a list of defensive statistics and sorting by sacks, but I’d like to take a more nuanced approach.

There are two factors that heavily impact a team’s sack rate: the opponents they face and the number of passing plays they defend. Using sack rate instead of sacks helps to solve the latter issue, but we still need an opponent adjustment even if we use sack rate. It’s a bit tricky doing it correctly, because you need to iterate the results just like you do with the SRS. What I mean by that is the sack rate of the Denver defense will need to be adjusted for the sack rate of the Kansas City, Oakland, and San Diego offenses (among other teams), and those will need to be adjusted for the Denver defense (and all the other defenses those teams faced).

Once you properly iterate the results, what are the results? The table below shows the top defenses this year at getting to the quarterback, although note that these numbers exclude the games from week 15. The table shows how many pass attempts each team has faced, the number of actual sacks they have recorded and their actual sack rate; the next column shows the SOS adjustment to the sack rate, with a positive number indicating a difficult strength of schedule (i.e., they’ve faced teams that are difficult to sack). The last two columns show the SOS-adjusted sack rates and total sacks.

Rk
Team
ATT
ACT SK
SK RT
SOS
ADJ SK RT
ADJ SK
1DEN506397.7%0.9%8.6%43.3
2CIN542437.9%0.5%8.4%45.7
3ARI426348%-0.5%7.4%31.7
4DAL429296.8%0.3%7.1%30.4
5CAR483306.2%0.9%7.1%34.2
6KAN389246.2%0.9%7.1%27.5
7STL489398%-1.2%6.8%33.1
8PHI467286%0.8%6.8%31.6
9HOU533376.9%-0.2%6.7%35.9
10MIA532377%-0.2%6.7%35.7
11GNB524356.7%-0.1%6.6%34.6
12BAL506305.9%0.6%6.6%33.3
13CLE531346.4%0.2%6.6%34.8
14NYG464316.7%-0.1%6.5%30.4
15SFO478326.7%-0.4%6.3%30.3
16PIT434266%0.3%6.3%27.4
17ATL463286%0.3%6.3%29.2
18BUF484316.4%-0.2%6.2%30.2
19CHI498336.6%-0.5%6.1%30.6
20SDG508254.9%1%5.9%30
21TEN481275.6%0.3%5.9%28.3
22SEA475326.7%-1.1%5.7%27
23NWE511285.5%-0.1%5.3%27.3
24NOR496255%0.2%5.3%26.1
25MIN515316%-0.8%5.2%27
26DET490306.1%-1.1%5%24.4
27WAS539234.3%0.7%4.9%26.6
28TAM541244.4%0.5%4.9%26.5
29NYJ446224.9%-0.1%4.8%21.5
30IND470245.1%-0.4%4.7%22.3
31OAK465173.7%0.7%4.3%20.1
32JAX464143%0%3%14

[click to continue…]

{ 2 comments }

Trivia of the Day – Sunday, December 16th

Manning finds the last empty spot on his trophy case.

What do you give to the man who already has everything? How about a Comeback Player of the Year Award?

Right now, the choice for AP Comeback Player of the Year is a two-horse race between Peyton Manning and Adrian Peterson. If Manning wins the award, it will put him in pretty rare territory: he’d be just the fourth player to, over the course of a career, be named by the Associated Press as the Most Valuable Player of the Year, Comeback Player of the Year, and Super Bowl MVP. Can you name the first three?

Below is one hint for each of the three players who have won all three awards.

Trivia hint for Player 1 Show


Click 'Show' for the Answer for Player 1 Show

Trivia hint for Player 2 Show


Click 'Show' for the Answer for Player 2 Show

Trivia hint for Player 3 Show


Click 'Show' for the Answer for Player 3 Show

{ 6 comments }

The original standard for postseason success.

On Wednesday, I explained the methodology for grading each quarterback in each season. Yesterday, I came up with an all-time career list of the best quarterbacks based on their regular season play. Today, a look at playoff performances.

Using the same formula, we can grade each quarterback in each game and adjust for era1. However, it should be obvious that the sample sizes here are incredibly small, and the stats are even less likely to tell the true story when looking at just one game. Strength of schedule becomes a significant factor here, as well. But, caveats aside, there’s a lot we can do with playoff data. For example, we can rank every quarterback performance in Super Bowl history:

Rk
QB
Tm
Opp
SB
W/L
Att
Pyd
TD
INT
CY
CYP
VAL
1Joe MontanaSFOMIA19W353313040611272
2Steve YoungSFOSDG29W363256043111.1264
3Troy AikmanDALBUF27W302734038112.3258
4Joe MontanaSFODEN24W292975039713.3256
5Kurt WarnerSTLTEN34W45414204479.7225
6Jim PlunkettOAKPHI15W212613032014.5219
7Phil SimmsNYGDEN21W252683032312.4216
8Doug WilliamsWASDEN22W293404135811.6211
9John ElwayDENATL33W293361133111181
10Jim McMahonCHINWE20W202560028411.6174
11Joe MontanaSFOCIN23W36357203519165
12Jake DelhommeCARNWE38L33323303258.8146
13Tom BradyNWECAR38W48354313697.7141
14Terry BradshawPITDAL13W30318412667.8140
15Mark RypienWASBUF26W33292212878.7128
16Terry BradshawPITRAM14W213092321410.2123
17Bart StarrGNBKAN1W23250212248.7121
18Terry BradshawPITDAL10W19209202009.5121
19Aaron RodgersGNBPIT45W39304303488.3118
20Brett FavreGNBNWE31W27246202688.1111
21Drew BreesNORIND44W39288203218107
22Ken StablerOAKMIN11W19180101838.7103
23Troy AikmanDALPIT30W23209102188.791
24Kurt WarnerARIPIT43L43377313297.387
25John ElwayDENNYG21L37304112706.581
26Bart StarrGNBOAK2W24202101826.579
27Joe MontanaSFOCIN16W22157101887.876
28Tom BradyNWEPHI39W33236202597.475
29Joe NamathNYJBAL3W28206001956.568
30Peyton ManningINDNOR44L45333113086.867
31Ken AndersonCINSFO16L34300222546.467
32Jeff HostetlerNYGBUF25W32222102346.966
33Bob LeeMINOAK11L9811010010.965
34Roger StaubachDALMIA6W19119201406.763
35Steve McNairTENSTL34L36214002085.661
36Eli ManningNYGNWE46W4029610302761
37Terry BradshawPITMIN9W1496101046.559
38Kurt WarnerSTLNWE36L4436512287655
39Roger StaubachDALPIT13L30228311614.653
40Jim KellyBUFNYG25L30212002056.652
41Jim PlunkettRAIWAS18W25172101746.448
42Roger StaubachDALDEN12W25183101424.845
43Brad JohnsonTAMOAK37W34215212106.245
44Earl MorrallBALDAL5W15147011026.843
45Ben RoethlisbergerPITARI43W30256112096.537
46Bob GrieseMIAMIN8W77300637.934
47Brett FavreGNBDEN32L42256312405.634
48Daryle LamonicaOAKGNB2L34208211814.932
49Fran TarkentonMINMIA8L28182011414.531
50Gary KubiakDENNYG21L448004510.225
51Troy AikmanDALBUF28W27207011595.521
52Tom BradyNWENYG46L41276212616.120
53Len DawsonKANGNB1L27211111354.219
54Trent DilferBALNYG35W25153101545.517
55Tom BradyNWESTL36W27145101545.314
56Len DawsonKANMIN4W1714211974.910
57Gary KubiakDENSFO24L32800256.87
58Frank ReichBUFWAS26L11100109.45
59Steve YoungSFODEN24W32000206.55
60Vince FerragamoRAMPIT14L25212011274.44
61Danny WhiteDALDEN12W250031.14
62Matt HasselbeckSEAPIT40L49273112344.53
63Ben RoethlisbergerPITGNB45L40263222115.12
64Bill MusgraveSFOSDG29W160065.20
65Fran TarkentonMINOAK11L35205121323.7-4
66Babe ParilliNYJBAL3W10000-0.4-5
67Zeke BratkowskiGNBKAN1W1000-1-0.8-5
68Jay SchroederWASDEN22W1000-1-0.6-6
69Pete BeathardKANGNB1L5170071.3-6
70Tony BanksBALNYG35W1000-1-0.7-6
71Eli ManningNYGNWE42W34255211824.9-8
72Bob GrieseMIAWAS7W118811443.4-8
73Peyton ManningINDCHI41W38247111844.7-10
74John ElwayDENGNB32W2212301984.3-12
75Don StrockMIAWAS17L3000-3-0.9-17
76Steve FullerCHINWE20W4000-3-0.6-23
77Ron JaworskiPHIOAK15L38291131463.8-28
78Joe TheismannWASMIA17W2314322742.8-33
79Dan MarinoMIASFO19L50318122194.1-33
80Elvis GrbacSFOSDG29W1000-30-28.2-36
81Johnny UnitasBALNYJ3L2411001652.7-37
82David WoodleyMIAWAS17L149711281.9-37
83Donovan McNabbPHINWE39L51357332494.5-40
84Norris WeeseDENDAL12L102200-18-1.6-42
85Gale GilbertSDGSFO29L63001-17-2.7-44
86Gary CuozzoMINKAN4L31601-32-9.6-46
87Johnny UnitasBALDAL5W98812-12-1.3-47
88Tom BradyNWENYG42L48266102194.1-53
89Bob GrieseMIADAL6L2313401301.3-58
90Boomer EsiasonCINSFO23L2514401782.6-65
91Jim KellyBUFDAL28L50260011823.4-66
92Stan HumphriesSDGSFO29L49275121893.7-67
93Ben RoethlisbergerPITSEA40W2112302452-67
94Tony EasonNWECHI20L6000-40-5.6-72
95Roger StaubachDALPIT10L2420423371.2-78
96Chris ChandlerATLDEN33L3521913912.5-79
97Joe KappMINKAN4L2518302391.4-81
98John ElwayDENWAS22L3825713932.2-90
99Rex GrossmanCHIIND41L2816512541.9-90
100Steve GroganNWECHI20L3017712561.6-105
101Jim KellyBUFDAL27L78202-72-9.3-107
102Joe TheismannWASRAI18L3524302731.8-112
103Craig MortonDALBAL5L2612713-2-0.1-112
104Fran TarkentonMINPIT9L2610203-33-1.3-127
105Earl MorrallBALNYJ3L177103-64-3.8-136
106Frank ReichBUFDAL27L3119412160.5-137
107Neil O'DonnellPITDAL30L49239131222.3-147
108Billy KilmerWASMIA7L2810403-48-1.6-159
109Drew BledsoeNWEGNB31L4825324741.4-178
110John ElwayDENSFO24L2610802-22-0.7-182
111Rich GannonOAKTAM37L4427225350.7-212
112Craig MortonDENDAL12L153904-157-9-214
113Jim KellyBUFWAS26L5827524300.5-269
114Kerry CollinsNYGBAL35L3911204-124-2.9-335

If you type Montana’s name into the search box, you can see that he has the 1st, 4th, 11th and 27th best performance in Super Bowl history. The best performance in a losing effort goes to Jake Delhomme, who shredded the Patriots secondary in the second half of Super Bowl XXXVIII (he began the game 1 for 9 for 1 yard). The worst performance in a winning effort, unsurprisingly, goes to Ben Roethlisberger in Super Bowl XL, although Joe Theismann against the Dolphins gets an honorable mention. Worst performance overall goes to Kerry Collins, although Craig Morton’s 4 interceptions and 39 yards on 15 attempts against his former team in Super Bowl XII could give Collins a run for his money.

What about best championship game performances in the pre-Super Bowl era?

Rk
QB
Tm
Opp
Year
W/L
Att
Pyd
TD
INT
CY
CYP
VAL
1Tobin RoteDETCLE1957W192804038019304
2Sid LuckmanCHIWAS1943W262865038614.8248
3Otto GrahamCLERAM1950W33298412927.7236
4Sammy BaughWASCHI1937W33335313209.7228
5Harry NewmanNYGCHI1933L192092120410.7197
6Charlie ConerlyNYGCHI1956W101952023222.1192
7Bart StarrGNBNYG1961W171643022413.2152
8Otto GrahamCLEDET1954W121633219312.9135
9Frank RyanCLEBAL1964W182063121211.2132
10Norm Van BrocklinRAMCLE1951W61281014824.7129
11Tobin RoteSDGBOS1963W151732022613.1127
12Sid LuckmanCHINYG1941W121600016013.3125
13George BlandaHOULAC1960W313013036111.6123
14Charlie ConerlyNYGBAL1958W141871019011.6122
15Arnie HerberGNBNYG1938L141231014310.2117
16Johnny UnitasBALNYG1959W29264202677.4115
17Charlie O'RourkeCHIWAS1942L71280012818.3105

[click to continue…]

  1. Note that I do not have individual playoff sack data prior to 2008, so I am using pro-rated sack numbers based on team sack data. []
{ 10 comments }

Yesterday, I explained the methodology behind the formula involved in ranking every quarterback season in football history. Today, I’m going to present the career results. Converting season value to career value isn’t as simple as it might seem. Generally, we don’t want a player who was very good for 12 years to rank ahead of a quarterback who was elite for ten. Additionally, we don’t want to give significant penalties to players who struggled as rookies or hung around too long; we’re mostly concerned with the peak value of the player.

What I’ve historically done — and done here — is to give each quarterback 100% of his value or score from his best season, 95% of his score in his second best season, 90% of his score in his third best season, and so on. This rewards quarterbacks who played really well for a long time and doesn’t kill players with really poor rookie years or seasons late in their career. It also helps to prevent the quarterbacks who were compilers from dominating the top of the list. The table below shows the top 150 regular season QBs in NFL history using that formula, along with the first and last years of their careers, their number of career attempts (including sacks and rushing touchdowns), and their career records and winning percentages (each since 1950). For visibility reasons, I’ve shown the top 30 quarterbacks below, but you can change that number in the filter or click on the right arrow to see the remaining quarterbacks.
[click to continue…]

{ 28 comments }

In 2006, I took a stab at ranking every quarterback in NFL history. Two years later, I acquired more data and made enough improvements to merit publishing an updated and more accurate list of the best quarterbacks the league has ever seen. In 2009, I tweaked the formula again, and published a set of career rankings, along with a set of strength of schedule, era and weather adjustments, and finally career rankings which include those adjustments and playoff performances.

If nothing else, that was three years ago, so the series was due for an update. I’ve also acquired more data, enabling me to tweak the formula to better reflect player performance. But let’s start today with an explanation of the methodology I’m using. To rank a group of players, you need to decide which metric you’re ordering the list by. I’ll get to all of the criteria I’m not using in a little bit, but the formula does use each of the following: pass attempts, passing touchdowns, passing yards, interceptions, sacks, sack yards lost, fumbles, fumbles recovered, rush attempts, rushing yards and rushing touchdowns. Most importantly, the formula is adjusted for era and league.

Two of the best quarterbacks ever.

So where do we begin? We start with plain old yards per attempt. I then incorporate sack data by removing sack yards from the numerator and adding sacks to the denominator1. To include touchdowns and pass attempts, I gave a quarterback 20 yards for each passing touchdown and subtracted 45 yards for each interception. This calculation — (Pass Yards + 20 * PTD – 45 * INT – Sack Yards Lost) / (Sacks + Pass Attempts) forms the basis for Adjusted Net Yards per Attempt, one of the key metrics I use to evaluate quarterbacks.

For purposes of this study, I did some further tweaking. I’m including rushing touchdowns, because our goal is to measure quarterbacks as players. There’s no reason to separate rushing and passing touchdowns from a value standpoint, so all passing and rushing touchdowns are worth 20 yards and are calculated in the numerator of Adjusted Net Yards per Attempt. To be consistent, I also include rushing touchdowns in the denominator of the equation. This won’t change anything for most quarterbacks, but feels right to me. A touchdown is a touchdown.
[click to continue…]

  1. I have individual sack data for every quarterback since 1969. For seasons before then, I have team sack data going back to 1949. For seasons before 1950, I ignored sacks; for seasons between 1950 and 1969, I gave each quarterback an approximate number of sacks, giving him the pro-rated portion of sacks allowed by the percentage of pass attempts he threw for the team. While imperfect, I thought this “fix” to be better than to ignore the data completely, especially for years where one quarterback was responsible for the vast majority of his team’s pass attempts. []
{ 23 comments }

Let’s start with some trivia before moving to today’s post:

  • Only two quarterback-receiver pairs have ever topped the 10,000 yard mark. Can you name them?
    Hint: Show
  • Only two receivers (minimum: 7,000 yards) gained at least 93% of their career receiving yards from one quarterback. Do you know who they are?
    Hint: Show
  • Two of the men in the top ten in career receiving yards can credit the same quarterback account for more of their yards than any other passer. Can you name that quarterback?
    Hint Show
  • Can you name the receiver who gained over 10,000 yards in his career, but the quarterback from whom he gained the most yards was… Quincy Carter?
    Hint Show
  • Among the top twenty-five leaders in career receiving yards, can you guess which player was the only one to fail to catch at least 20% of his yards from a single quarterback?
    Hint Show

[click to continue…]

{ 16 comments }

Quarterback wins over Pythagoras

No, this article isn’t an article about quarterbacks squaring off against ancient Greek mathematicians. Today, we’re going to look at quarterback win-loss records and see how they compare to their Pythagorean win-loss records.

Over 30 years ago, Bill James wrote that, on average, baseball teams’ true strengths could be measured more accurately by looking at runs scored and runs allowed than by looking at wins and losses. Since then, sports statisticians have applied the same thinking to all sports. The formula to calculate a team’s Pythagorean winning percentage is always some variation of:

(Points Scored^2) / (Points Scored ^2 + Points Allowed^2)

With the exponent changing from 2 to whatever number best fits the data for the particular sport. In football, that number is 2.53. We can look, for example, at the Pythagorean records for each team in the league last season, and line it up against their actual record:

Year
Tm
Record
Win%
PF
PA
Pyth Wins
Diff
2011KAN7-90.4382123383.763.24
2011GNB15-10.93856035912.082.92
2011DEN8-80.5003093905.712.29
2011OAK8-80.5003594336.141.86
2011NWE13-30.81351334211.781.22
2011NYG9-70.5633944007.851.15
2011ARI8-80.5003123486.91.1
2011TAM4-120.2502874943.230.77
2011TEN9-70.5633253178.250.75
2011NOR13-30.81354733912.330.67
2011BAL12-40.75037826611.340.66
2011ATL10-60.6254023509.390.61
2011SFO13-30.81338022912.520.48
2011CIN9-70.5633443238.640.36
2011PIT12-40.75032522711.40.6
2011MIA6-100.3753293138.5-2.5
2011MIN3-130.1883404495.3-2.3
2011PHI8-80.5003963289.87-1.87
2011CAR6-100.3754064297.44-1.44
2011SEA7-90.4383213158.19-1.19
2011IND2-140.1252434303.05-1.05
2011HOU10-60.62538127811.03-1.03
2011SDG8-80.5004063778.75-0.75
2011CLE4-120.2502183074.74-0.74
2011WAS5-110.3132883675.62-0.62
2011DAL8-80.5003693478.62-0.62
2011BUF6-100.3753724346.46-0.46
2011NYJ8-80.5003773638.38-0.38
2011CHI8-80.5003533418.35-0.35
2011STL2-140.1251934072.1-0.1
2011JAX5-110.3132433295.08-0.08
2011DET10-60.62547438710.01-0.01

[click to continue…]

{ 8 comments }

Franchise leaders — passing stats

Happy 4th of July! Before you head to your barbecue, I’d recommend you take a look at the incredible document our founders signed 236 years ago.

As far as football goes, today’s a good time for a data dump. The table below shows the career passing leaders for each franchise, organized by when the current leader last played for that team.

Team
Yards
Quarterback
Last Yr
NWE39979Tom Brady
NOR28394Drew Brees
HOU16903Matt Schaub
BAL13816Joe Flacco
IND54828Peyton Manning2011
SEA29434Matt Hasselbeck2010
PHI32873Donovan McNabb2009
CAR19258Jake Delhomme2009
GNB61655Brett Favre2007
JAX25698Mark Brunell2003
DAL32942Troy Aikman2000
MIA61361Dan Marino1999
DEN51475John Elway1998
BUF35467Jim Kelly1996
TEN33685Warren Moon1993
NYG33462Phil Simms1993
STL23758Jim Everett1993
SFO35124Joe Montana1992
TAM14820Vinny Testaverde1992
SDG43040Dan Fouts1987
CIN32838Ken Anderson1986
WAS25206Joe Theismann1985
ATL23470Steve Bartkowski1985
ARI34639Jim Hart1983
PIT27989Terry Bradshaw1983
CLE23713Brian Sipe1983
OAK19078Ken Stabler1979
MIN33098Fran Tarkenton1978
NYJ27057Joe Namath1976
KAN28507Len Dawson1975
DET15710Bobby Layne1958
CHI14686Sid Luckman1950

[click to continue…]

{ 11 comments }

Largest increase in pass completions

And then John said to Peyton, 'Tim Tebow.'

Fifteen days into its infancy, Football Perspective has published fifteen posts. If you are enjoying the site, be sure to check back every day for a new post. You can also become one of the 850+ people to “like” Football Perspective on Facebook. You can also follow me on twitter. Enough of a site update: on to today’s post.

Unlike most sports writers, I don’t know a lot about what will happen this season. But there’s one thing I do know: the Denver Broncos aren’t going to rank 32nd again in pass attempts again. The Tebow Broncos, an offense with an inexperienced quarterback and a confused offensive coordinator, completed just 217 passes last season. That was the lowest in the league, and the lowest since the ’09 Jets, a team that boasted the number one rushing attack and defense in the league — and Mark Sanchez.

Setting aside those years where the league scheduled more games in the following season, the table below shows the teams with the largest increase in completions from one year (that’s the year listed in the table) to the next:

Year
Tm
Cmp N
Cmp N+1
Difference
QB Year N
QB Year N+1
HC Year N
HC Year N+1
1978SFO190361171Steve DeBergSteve DeBergPete McCulley1Bill Walsh
2000TAM237362125Shaun KingBrad JohnsonTony DungyTony Dungy
2004ARI299419120Josh McCownKurt WarnerDennis GreenDennis Green
1998CHI284404120Erik KramerShane MatthewsDave WannstedtDick Jauron
1993NWE289405116Drew BledsoeDrew BledsoeBill ParcellsBill Parcells
2000CIN207322115Akili SmithJon KitnaDick LeBeau2Dick LeBeau
1957PHI99214115Bobby ThomasonNorm Van BrocklinHugh DevoreBuck Shaw
2006ATL222336114Michael VickJoey HarringtonJim MoraBobby Petrino
1983MIA254367113Dan MarinoDan MarinoDon ShulaDon Shula
1994DET250362112Dave KriegScott MitchellWayne FontesWayne Fontes
1978BAL202313111Bill TroupGreg LandryTed MarchibrodaTed Marchibroda
2008MIN267377110Gus FrerotteBrett FavreBrad ChildressBrad Childress
2008SEA262372110Seneca WallaceMatt HasselbeckMike HolmgrenJim Mora
1989HOU295399104Warren MoonWarren MoonJerry GlanvilleJack Pardee
2001SEA258361103Matt HasselbeckMatt HasselbeckMike HolmgrenMike Holmgren
1988NWE199302103Doug FlutieSteve GroganRaymond BerryRaymond Berry
1979HOU195296101Dan PastoriniKen StablerBum PhillipsBum Phillips
1996SEA26135998Rick MirerWarren MoonDennis EricksonDennis Erickson
1999PHI23533196Doug PedersonDonovan McNabbAndy ReidAndy Reid
1993MIN31540994Jim McMahonWarren MoonDennis GreenDennis Green
1985CLE22231593Bernie KosarBernie KosarMarty SchottenheimerMarty Schottenheimer
1993NOR27436692Wade WilsonJim EverettJim MoraJim Mora
1992DEN25835092John ElwayJohn ElwayDan ReevesWade Phillips
1972PHI18427591John ReavesRoman GabrielEd KhayatMike McCormack
1950GNB14023191Tobin RoteBobby ThomasonGene RonzaniGene Ronzani
2011DEN217Tim TebowPeyton ManningJohn FoxJohn Fox

[click to continue…]

  1. In 1978, the 49ers fired McCulley after 9 games and Fred O'Connor coached the rest of the season. []
  2. In 2000, Bruce Coslet was the Bengals coach to start the season, but he resigned after three straight blowouts to begin the year. []
{ 6 comments }