All three games produced Game Scripts by the winning team of between -4 and -7 points. Game Scripts, regular readers know, measure the average points differential over the course of the entire game. Week 2 brought a pair of games with very large game scripts, with Oakland (Game Script of -15.9) and Jacksonville (-15.3) failing to look competitive in losses to houston and Washington, respectively. Minnesota (-11.7) wasn’t much better. Not surprisingly, the Raiders, Jaguars, and Vikings all passed significantly more often than their opponents. [click to continue…]
Two 2-0 teams have ridden the short-passing game to success. For the Cincinnati Bengals and the Houston Texans, the best players in their passing attacks are not the quarterbacks. As a result, both teams have constructed offenses that focus on high-percentage passes and getting the ball into the hands of their best playmakers.
Bengals quarterback Andy Dalton is averaging 9.1 yards per attempt through two weeks and 13.8 yards per completion; both marks are the highest in the league. But Cincinnati players have averaged 9.2 yards gained after the catch per reception, easily the highest mark in the N.F.L. Running back Giovani Bernard is responsible for 25 percent of Dalton’s passing yards, but most of the credit there goes to Bernard. On his 11 receptions, he has gained 141 yards, with 158 yards coming after the catch (Bernard’s average reception came 1.6 yards behind the line of scrimmage). For wide receiver Mohamed Sanu, 90 of his 120 receiving yards have come after the catch, with the majority of those coming on his long touchdown against Atlanta.
As a result of the efforts of players like Bernard and Sanu, 67 percent of Dalton’s passing yards this season have come after the catch. That is the second highest percentage in the league behind Minnesota’s Matt Cassel. While it is easy to be impressed by Dalton’s gaudy numbers, it is fair to wonder how much of the credit belongs to Dalton and how much belongs to his talented teammates.
You can read the full article here.
No team wants to start the season 0-2. By now you’ve heard the statistic that since 1990, only 12% of teams to start 0-2 have made the playoffs. While that’s true, that’s just one way — and not the only way — to examine the Saints start. That analysis is based on the following idea:
Look at group of teams with the same start –> see how they finish the year
But there’s another way to consider New Orleans’ early season woes. The Saints lost both games on the road. So while New Orleans is 0-2, the team still has 8 home games remaining. Based on the Saints history under Sean Payton, projecting a a 7-1 home record doesn’t seem unreasonable. And while the team lost both games so far, note that Saints opponents have already kicked three game-winning or game-tying field goals at the end of regulation or overtime already.1 That’s an amazing feat to have occurred after just two games; from a predictive standpoint, the Saints could just as easily be 2-0. And from a predictive standpoint, a 3-3 finish in road games the rest of the way doesn’t seem unreasonable, either. That would give the team a 10-6 record, and probably a playoff berth. [click to continue…]
A good article today from our pal Neil Paine, who asks whether Antonio Gates is the second best tight end in NFL history. I won’t weigh in on that subject, but after catching three touchdowns against the Seahawks on Sunday, Philip Rivers and Antonio Gates have now connected on 63 touchdown passes.
That’s the 10th most in NFL history, and the most by any quarterback/tight end pairing. The table below shows all quarterback-receiver combinations that scored at least 50 touchdown passes, including playoffs (and the AAFC). The final column shows the last year in which the duo scored a touchdown; as you can see, one other active combination is on the list, although Drew Brees and Marques Colston have not connected for a touchdown yet this year. [click to continue…]
After a really dark week for the NFL, I don’t blame you if you were less excited than usual about this weekend’s games. But there were 14 games to watch on Sunday, and I at least watched a little bit of each game. Here are some quick thoughts, in chronological order.
Buffalo 29, Miami 10
- Last December, Ryan Tannehill went to Buffalo and proceeded to have one of the worst passing games you could ever have without throwing an interception. He gained 36 net yards on 34 dropbacks. In the first half on Sunday, he had… 13 net yards on 14 dropbacks. In the second half, he dropped back to pass 40 times (!) and gained 197 yards. Okay, not the stuff Pro Bowls are built on, but hey, it’s an improvement.
- EJ Manuel looks to be playing the role of game manager: as long as the Buffalo defense (this week) and running game (last week) play well, that can be a winning formula. Manuel’s numbers looked good this week, but that was more Sammy Watkins than Manuel. From what I watched, Watkins (8/117/1) could have had an even bigger game had Manuel been more accurate. Buffalo had just 13 first downs.
- Plays You Need To Know About: Mike Wallace had a ridiculous catch for a touchdown. C.J. Spiller had a great kickoff return touchdown. Any play involving Sammy Watkins.
Regular readers know that I publish weekly college football ratings using the Simple Rating System. The catch is that the SRS isn’t a viable option in the first few weeks of the season; until we have more interaction among the top teams, we can’t really generate computer ratings. Frankly, running an SRS program today would be pretty useless.
Consider that a team like Arizona State has played Weber State, New Mexico, and Colorado. Auburn has played Arkansas (the Razorbacks are not very good) and San Jose State. Oklahoma has played Louisiana Tech, Tulsa, and Tennessee (the Vols are not very good). So what can we do?
One thing we could do is to use the concept of Elo Ratings. But calculating Elo ratings in this context is no simple task, and there’s a good chance my buddy Neil is going to do that, anyway, so I thought I would try simpler process. I’ll give a high-level overview of the process here, then present the rankings, and then provide all the nuts and bolts for those interested at the bottom of the post. [click to continue…]
One of the darkest weeks in NFL history continued on Friday; judging by the details of the report of what Adrian Peterson did to his four-year old son, perhaps escalated is a better description.
Peterson. Ray Rice. Greg Hardy. Ray McDonald. The biggest stories of the 2014 season have been about domestic violence. This, after the Richie Incognito-led bullying effort in Miami dominated parts of the 2013 season. And it’s not as though the Jovan Belcher and Aaron Hernandez stories are in the distant past, either.
I don’t know exactly how many fans are questioning what the hell is going on with the NFL. I know I am. Here’s what Mike Tanier had to say earlier this week, identifying exactly why Rice was indefinitely suspended from the league. [click to continue…]
Since 1940, there have been 616 times where a team rushed for at least 125 yards and completed at least 75% of its passes. On Sunday, when Washington pulled off that feat against the Texans, they became the first team to fail to score double digit points in the process.
In the second half, both RG3 and Niles Paul lost fumbles inside the Houston 10-yard line; that obviously contributed to the team failing to score more than 6 points. But Griffin’s 78.4% completion percentage was also pretty misleading. Griffin’s average throw went just 5.8 yards in the air, and his average completion covered just 3.9 yards before including his receiver’s yards gained after the catch. Both of those averages put ranked 30th among 32 qualifying passers. But while short throws can be part of an effective offense, on Sunday, that wasn’t the case for Washington. Consider:
- A 4th and 10 completion to Roy Helu for 6 yards
- A 3rd and 16 completion (on the Washington 15) to Helu for 9 yards
- A 3rd and 13 completion to DeSean Jackson for 0 yards
- A 2nd and 25 completion to Jackson for 0 yards
- A 2nd and 19 completion to Pierre Garcon for 3 yards
- A 2nd and 14 completion to Logal Paulsen for -3 yards
- A 2nd and 8 completion to Garcon for 3 yards
- A 2nd and 1 completion to Jackson for 0 yards
- Four 1st and 10 completions to Jordan Reed, Paulsen, Paul, and Darrel Young for 4, 3, 2, and 1 yard(s), respectively.
Sure, Griffin completed 29 of his 37 passes, but 12 of his completions did little or nothing to help his offense. He also was sacked three times. As a result, just 17 of his 40 dropbacks — or 42.5% — were successful completions.
To be fair, this isn’t as much a knock of Griffin as the Washington offense as a whole, or perhaps just a counter to those who like to rely on completion percentage or its brother, passer rating. If Griffin’s targets could have gained more yards after the catch, things would have looked a lot different. And against the frightening pass rush of J.J. Watt and company,1 short passes make some sense. But looking at Griffin’s completion percentage and concluding he had a good game is kind of silly. Again, more a knock on the misuse of statistics than the player.
Football Outsiders considers a completion that fails to gain a first down on 3rd or 4th down, a completion that fails to gain at least 60% of the distance needed on 2nd down, or a completion that fails to gain at least 45% of the needed yards on 1st down to all be failed completions. Those cut-offs seem reasonable enough to use for theses purposes. Looking at the numbers, Griffin led the NFL in failed completions in week one.
Here’s how to read the table below. In week 1, Griffin completed 29 of 37 passes, producing a completion percentage of 78.4%. However, 12 of his completions were failed completions, as identified above. That means 41.4% of his completions were failed completions. He also took 3 sacks; as a result, just 42.5% of his dropbacks were successful completions. The difference between his raw completion percentage and his SCmp/DB average was 35.9%. [click to continue…]
Barack Obama was not the only winner in the 2012 presidential election. Nate Silver, now founder and editor in chief of Five Thirty Eight, and other stats-y election forecasters basked in the praise that came when the returns matched their predictions.
But part of the praise was overstated. At the very end, Silver’s models essentially called Florida a toss-up, with the probability of an Obama win going just a few tenths of a percentage point above 50%. But because his model gave Obama the slightest of edges in Florida, his forecast in most of the media essentially became a predicted Obama win there. In addition to accurately forecasting the national popular vote, Silver then received credit for predicting all fifty states correctly.
I am all in favor of stats winning, but the flip side of this is the problem. If Obama had not won Florida, Silver’s prediction―which, like that of other forecasters such as Sam Wang of the Princeton Election Consortium, was excellent―would have been no less good.1 And if stats folks bask too much in the glow when everything comes up on the side where the probabilities leaned, what happens the next time when people see a 25% event happening and say that it invalidates the model?2
Lots of people have made this point before — heck, Silver wrote about this in his launch post at the new 538 — but it is really useful to think carefully about the uncertainty in our predictions. Neil has done that with his graphs depicting the distribution of team win totals at 538, and Chase did so in this post last Saturday. Football Outsiders does this in its Almanac every year, with probabilities on different ranges of win totals. [click to continue…]
- This is a column about football, but you might want to check out some of the stuff through that link on the differences between Silver and Wang on the upcoming midterm elections. They both know way more than I do, but for the small amount that it is worth, I lean more towards Wang on this one. [↩]
- Of course, maybe Football Outsiders has already run into that with the 2007 Super Bowl prediction. Perhaps sports people are ahead of politics on this stuff. [↩]
Obviously there’s a big difference between ANY/A and fantasy points. But while we use ANY/A as our main metric for lots of reasons, it’s always helpful to compare it to other statistics. For example, RG3 ranked 17th in ANY/A in week 1, but only 27th in ESPN’s Total QBR. Why is that? Well, Griffin fumbled twice (losing one), and he completed a lot of very short throws (he had the third lowest air yards per throw and air yards per completion). But another factor is that his third down performance was a bit misleading using conventional metrics, which is something Total QBR is good at identifying.
Griffin gained 75 net yards on 10 third down dropbacks in the game: that’s pretty good, but he only picked up first downs on 3 of 10 opportunities. He had a 48-yard completion on a 3rd-and-7, which is great, but it also inflates his average gain; he also had a pair of 9 yard completions on third and very long that added little value.
We can also look at Football Outsiders’ main efficiency metric, DVOA, and compare that to other statistics. Matt Cassel is an interesting player to analyze. In DVOA, he ranked 5th. In ANY/A, he ranked 10th. In Total QBR, he was 15th, and in fantasy points, he was 21st! So what gives?
As noted by Vince Verhei, Cassel’s “average pass traveled just 4.8 yards past the line of scrimmage, nearly a full yard shorter than the next shortest quarterback (Derek Carr, 5.6).” That would explain why QBR would be less high on Cassel than other statistics. And since Cassel threw just 25 passes for only 170 yards, his fantasy value won’t be very high. Football Outsiders, on the other hand, gives Cassel credit for things like his a 9-yard pass on third-and-10 that created better field goal range. Overall, comparing what Cassel did to the baseline, he looks really good according to FO, and just pretty good according to QBR. As for ANY/A, it’s impressed by his 2 TD/0 INT ratio, but it’s hard to get a great ANY/A grade when you are averaging just 10.0 yards per completion.
The table below shows each quarterback’s stats in each metric. For example, Matthew Stafford averaged 11.55 ANY/A in week 1, scored 31.5 fantasy points, had a Total QBR of 97.5, and a DVOA of 90.3%. Those ratings, among the 33 quarterbacks in week 1 (curses, Rams!), ranked him 1st in ANY/A, 3rd in fantasy points, 1st in QBR, and 1st in DVOA, for an average rank of 1.5. [click to continue…]
I was invited back for a third visit over at the Advanced Football Analytics (formerly Advanced NFL Stats) podcast. You can click here to listen to me and Dave Collins discuss the Jets, Game Scripts, some week three predictions, and more. Give it a listen; the AFA podcast is great, and I’d recommend listening to it every week (you can click the following links to subscribe for free to the AFA Podcast on iTunes or Stitcher.)
Regular readers are familiar with the concept of Game Scripts, the term I’ve used to represent the average margin of lead or deficit over the course of every second of a game. Let’s use the Washington/Houston game (since it featured just four scoring plays) to explain how to calculate the Game Script score.
The first score of the game came with 6:11 left in the second quarter, when Darrel Young rushed for a touchdown (the extra point was blocked, of course, by J.J. Watt). This means for the first 23 minutes and 49 seconds, the score was tied. On Houston’s ensuing drive, Ryan Fitzpatrick hit DeAndre Hopkins for a 76-yard touchdown with 4:28 left in the half. That means Washington held a 6 point lead for only one minute and 43 seconds.
After a three-and-out, Washington’s punt was blocked, and Alfred Blue recovered, giving Houston a 14-6 lead with 2:09 left in the half. This means that Houston held a 1-point lead for two minutes and 19 seconds.
Then, the Texans held that 8-point lead for just over 30 minutes: Houston kicked a field goal right at the two minute warning, and ultimately won, 17-6.
Now, to calculate the Game Script, all you need to do is average the Texans’ margin over the course of the 3600 seconds in the game. As you can see in the table below, that number is 4.3. [click to continue…]
The weekly New York Times posts are back! This week, I look at how unusual it is for the Patriots to occupy the AFC East cellar.
After seven months without meaningful football, it is easy to overreact over the first week of the N.F.L. season. This does not mean Week 1 is unimportant; it is as important as any other week.
Still, what happened Sunday, at least in the American Football Conference East, was not any less extraordinary. For only the third time in a single week since 2001, the Patriots lost while the Jets, the Dolphins and the Bills won. The other times that happened were Week 6 in 2012 and Week 15 in 2004. New England ran away with the division title in both of those years, so do not declare the king dead just yet. But to put that statistic in perspective, consider that there have been 17 weeks since 2001 when the Patriots won while the Jets, the Dolphins and the Bills lost.
To understand the A.F.C. East is to understand its history. New York, Buffalo and Miami finished with a better record than New England in 2000. Since then, none of them has. Recent history shows this to be a remarkably stable division: in fact, the 2013 A.F.C. East had the fewest changes in wins of any division from one year to the next since the N.F.L. realigned divisions in 2002. The Patriots have long been the overlord of the division; most expected more of the same in 2014, but it may be time to re-examine that narrative.
You can read the full article here.
As regular readers know, the site is currently in somewhat of a transition period, at least from a tech standpoint. Rest assured, content will continue to flow on a daily basis (at a minimum) while we fix things on the back end.
One of the current casualties is the archive page, which is one of the favorite pages on the site both for me and many readers. The archive page provides a simple listing of every post ever published on the site. Well, I’ve created this temporary archive page, which includes every post (except this one) through September 9, 2014. Hopefully, this helps you folks out in the short-term, and thank you for sticking around during this maintenance period. [click to continue…]
We know that the Jaguars spent some time watching tape of the Miami offense, since Jacksonville used a third round pick on Hurricanes guard Brandon Linder. Perhaps that tipped them off to Hurns, who provided immediate returns in week one. What sort of returns?
- Hurns caught four passes for 110 yards and two touchdowns against the Eagles in week one. Prior to the Calvin Johnson explosion on Monday night, those numbers put Hurns tied for fifth in the league in receiving yards, and tied for second in receiving touchdowns.
- Hurns became just the 5th player since 1970 to hit the 100-yard receiving mark and catch two touchdowns in week one of his rookie season.
- Hurns produced the 2nd best performance by an undrafted rookie wide receiver in a season opener since the merger.
Football is back. Oh my goodness gracious. Football is back.
The return of football also means the return of TV’s greatest channel and one of the five most important innovations of the 21st century. The Red Zone Channel has simultaneously rendered obsolete commercials, bad games, bad moments of good games, and halitosis. Let’s celebrate with a running diary. Below is what I was thinking as I watched the RedZone through the early games on Sunday.
Allow me to make one gambling note right off the bat. My stone-cold mega-lock of the week was a two-team tease of the Raiders (to +11.5) and the Bears (to -1). I feel completely queasy about the Bears part of this bet. I’m sticking with it, but every instinct in my body is crying out: “Why take Jay Cutler down to 1 point when I can take Peyton Manning down to 2? You know you will regret this.” So if I sound extra emotional about Raiders-Jets and Bills-Bears, that’s why.
One more note: I was writing this as the games were still going on so the time is approximate in some cases. You can pick most of those out by the times that are whole numbers that end in :00 or :30.
Week 1 Red Zone Diaries
Pregame: Ten years of redzone? I didn’t know about this until 2010 or so. Clearly I am getting old. Maybe I’m remembering that wrong, anyway, since I am getting old. Oh so good to see Andrew Siciliano. Is it possible he’s the median man in America? Dark hair, white, average handsomeness, only his ears seem anything other than completely average. If he’s the median man, here’s the Andrew Siciliano of restaurants and the Andrew Siciliano of American incomes. [click to continue…]
Here are my NFL projected standings for 2014, but with a twist: I’m ranking the teams from most confident to least confident in their final records. In other words, these are rankings with implied variances, too. If you think this is just a way for me to have built-in excuses for missing on teams in the bottom ten, you are completely wrong and I would never do that.
1) Denver Broncos: 12-4
There may be no more exciting team to watch on the field than the Broncos. Of course, there’s no more boring team to talk about, which is why the Broncos take the place atop my confidence leaderboard. Absent a Peyton Manning injury, Denver will sleepwalk to 12 wins. Games against Seattle, San Francisco, and New England will be must-see television, and also serve to guard against predicting a 14-2 sort of season. The additions of DeMarcus Ware, T.J. Ward, and Aqib Talib, along with the return of Ryan Clady on offense, means the Broncos are fielding their deepest team of the Manning era.
2) New England Patriots: 12-4
Even when the Patriots aren’t very good, they still win 12 games. The offense has a lot of question marks at wide receiver, but Shane Vereen and Rob Gronkowski can mitigate those concerns when healthy. The defense has five Pro Bowl caliber players on defense with Vince Wilfork, Chandler Jones, Jerod Mayo, Darrelle Revis and Devin McCourty. Three others — Rob Ninkovich, Dont’a Hightower, and Jamie Collins — look to be above-average starters, too. This should be the team’s best defense in a long time (and will be even better once Brandon Browner returns from suspension), which makes New England have a higher floor than any team in the NFL.
3) Seattle Seahawks: 12-4
Do you really need explanation here? The only reason I’ve got Seattle down at 3 instead of 1 is I see a bit more variance in their potential outlook. The Seahawks are the clear best team in the league to me, so a 15-1 season isn’t out of the question;1 of course, a very difficult schedule could lead to a 10-6 year, too.
Is week 1 a window into a team’s soul? Or is week 1 best left ignored by analysts, since results are skewed by teams that are still shaking off the rust from the summer? As it turns out, week 1 isn’t just like any other week: it’s more like any other week than, uh, any other week. What do I mean by that?
Let’s begin with a hypothesis. The best teams in the league are [more/less] likely to win in week 1 than they are normally. This is because the best teams are [at their best/rusty] in week 1. How would we go about proving this to be true?
One method would be to take a weighted average winning percentage of teams in week one, with the weight being on the team’s actual season-ending winning percentage. For example, the Patriots went 16-0 in 2007, which means New England was responsible for 6.25% of all wins in the NFL that season. That year, the Colts went 13-3, so Indianapolis was responsible for 5.1% of all wins that year. If we want to know whether good teams play [better/worse] in week 1, we care a lot more about how teams like the ’07 Patriots and Colts fared than the average team.
By using weighted average winning percentages, we place more weight on the results of the best teams, which is exactly what we want to do. So when the ’07 Patriots and ’07 Colts won in week one, rather than being responsible for 6.25% of the league, they are now are responsible for over 11% of the NFL’s weighted week 1 winning percentage. Of course, you can probably figure out pretty quickly that by using this methodology, we are ensuring that the “average” winning percentage over the course of the season will be quite a bit over .500, since the best teams will win more often than not. And that’s exactly what we see: the average weighted winning percentage across all weeks, using this methodology, was 0.574. As it turns out, that’s exactly what the average is in week 1, too. [click to continue…]
Which team will be the biggest surprise in 2014? Last year, the Houston Texans shocked Vegas and analytics fiends alike. Before the season, the Texans’ over/under win total was 10.5. Football Outsiders Almanac projected them to have 9.3 wins and gave them a 67% chance of making the playoffs. Basically nobody saw the 2013 Texans’ implosion to 30th in DVOA coming. Interestingly, though, the Texans are part of a larger trend in the kinds of teams that have been having enormous drop-offs in performance.
Consider the graph below. It looks at the change in DVOA for good-but-not-great teams, those that ranked between 6th and 15th in the previous year.1
Historically, the good-but-not-great teams have regressed a little bit. From 1985 to 2010, those teams dropped on average between two and four points of DVOA. The trend was relatively stable for each five year period. While we would expect some regression from good teams, the size of that regression has changed since 2010. Over the last four years, the good-but-not-great teams have dropped an average of ten points of DVOA, the biggest regression by far since the merger. Note that if we drop 1983 to account for regression coming out of the strike-shortened 1982 season, we get a DVOA change for 1980-1984 of about four points of DVOA, making 2010-2013 even more clearly on its own island. This idea leads into my first prediction for the season. [click to continue…]
After 214 days off, we finally have real football again. Tonight, the Seahawks host the Packers, as Seattle begins its title defense.
Starting in 2004, the NFL now schedules the defending Super Bowl champion to take the field for the league’s opening night kickoff game. For the first eight seasons, the defending champion hosted each of these Thursday night games, and won all eight times. In 2012, the Giants lost the opening game to the Cowboys on a Wednesday night, as President Barack Obama was speaking the following night at the Democratic National Convention. And last year, a conflict with the Baltimore Orioles led to the Ravens/Broncos matchup moving to Denver, which the Broncos won, 49-27.
So the last two years, the defending champs have lost, although it’s worth noting that the Ravens were a 7.5-point underdog in 2013. Tonight, Seattle is a 6-point favorite, which has become the new norm for the team. But it wasn’t that long ago that the Seahawks were far from a lock to win every home game.
In each of Russell Wilson’s first three home starts — against the Cowboys, Packers, and Patriots — the Seahawks were three-to-four point underdogs. And, with an assist from the replacement referees, the Seahawks won each of those games. For his career, Wilson is 17-1 in Seahawks home games, including a 2-0 mark in the playoffs (the one loss came to Arizona, in the last regular season game in Seattle).
That makes Wilson the fourth quarterback to win 17 of his first 18 starts, joining Daryle Lamonica, Kurt Warner, and Matt Ryan. But did you know that Danny White began his career as the Cowboys starter with 18 consecutive home wins (including playoffs)?
And now, before we kick off the season, I wanted to get in my 2014 projected award winners. [click to continue…]
Just above these words, it says “posted by Chase.” And it was literally posted by Chase, but the words below the line belong to Adam Steele, a longtime reader and commenter known by the username “Red”. And I thank him for it. Adam lives in Superior, Colorado and enjoys digging beneath quarterback narratives to discover the truth; hey, who can blame him? One other house-keeping note: I normally provide guest posters with a chance to review my edits prior to posting. But due to time constraints (hey, projecting every quarterback in the NFL wasn’t going to write itself!), I wasn’t able to engage in the usual back and forth discussion with Adam that I’ve done with other guest posters. As a result, I’m apologizing in advance if Adam thinks my edits have changed the intent of his words. But in any event, sit back and get ready to read a very fun post on yards after the catch. When I envisioned guest submissions coming along, stuff like this is exactly what I had in mind.
Introducing Marginal YAC
A quarterback throws a two yard dump off pass to his running back, who proceeds to juke a couple defenders and run 78 yards into the endzone. Naturally, the quarterback deserves credit for an 80 yard pass. Wait, what? Sounds illogical, but that’s the way the NFL has been keeping records since 1932, when it first began recording individual player yardage totals. The inclusion of YAC — yards after the catch — in a quarterback’s passing yards total can really distort efficiency stats, which in turn may distort the way he is perceived.
In response, I created a metric called Marginal YAC (mYAC), which measures how much YAC a quarterback has benefited from compared to an average passer. Its calculation is very straightforward:
mYAC = (YAC/completion – LgAvg YAC/completion) * Completions
I have quarterback YAC data going back to 1992 for every quarterback season with at least 100 pass attempts.1 That gives us a healthy sample of 965 seasons to analyze, and includes the full careers of every contemporary quarterback. But first, let’s get a sense of what’s average here. The table below shows the league-wide YAC rates since 1992: [click to continue…]
- This data comes courtesy of sportingcharts.com. It’s obviously unofficial, but there doesn’t seem to be any noticeable biases from one team to another. Some unofficial stats, such as passes defensed or quarterback pressures, can vary wildly depending on the scorekeeper, but Sporting Charts’ YAC stats seem pretty fair, from what I can tell. Here is a link to the 2013 data. Chase note: I have not had the chance to compare these numbers to what is on NFLGSIS, but that’s a good idea. [↩]
Tomorrow morning, you can hear me on SiriusXM Channel 111, the SiriusXM Internet Radio App, or online at siriusxm.com. I’ll be speaking with Shane Jensen, Eric Bradlow, Cade Massey, and Adi Wyner about the 2014 NFL season for about 25 minutes, despite my best efforts to turn it into a Don Maynard appreciation show. The program is live, so feel to call in if you have the time. Based on the program’s twitter feed, I surmise that the call-in number is 1-844-WHARTON.
I’ve been doing some radio spots this offseason, and that number will probably go up a bit over the next few months. I’ll do my best to post updates on here, but the best place for Football Perspective news would be on the twitter feed.
Below are my 2014 projected quarterback rankings. Let me be very clear at the top of this post as to exactly what these rankings mean: they represent my projections of the order in which these quarterbacks will finish in my preferred measure of quarterback play. Everyone has their own measuring sticks when it comes to quarterbacks; for me, it’s Adjusted Net Yards provided above league-average. As a reminder, here is how we calculate that metric.
First, we start with Adjusted Net Yards per Attempt, which is calculated as follows:
(Passing Yards + 20 * PassTDs – 45 * INTs – Sack Yards Lost) / (Pass Attempts + Sacks)
Then, we take each quarterback’s ANY/A average, and subtract from that number the league average ANY/A metric, which should be around 5.9 ANY/A. Then, we multiply that difference by the quarterback’s number of dropbacks.
Last year, Peyton Manning led the league in this category, with 2,037 Adjusted Net Yards of value provided above average. The benefit to this approach to ranking passers is that the results are easy to test. At the end of the season, we can calculate the actual results, and then look back and laugh at this post.
So, ranking 1-32, here is how I project the top quarterback for each team to finish in 2014.1) Peyton Manning, Denver Broncos
There’s a reason Manning is the heavy favorite to repeat as NFL MVP. The Broncos lost Eric Decker and Knowshon Moreno, and Wes Welker’s concussion concerns only worsened this preseason. No matter: Manning remains the gold standard. Denver added Emmanuel Sanders in the offseason, and he caught five passes for 128 yards with two touchdowns against Houston in the preseason. Manning has led the NFL in sack rate in three of his last four seasons, and the return of Ryan Clady should make Manning even more difficult to sack in 2014. No need to over think this one: Manning is the clear favorite to again provide the most value of any quarterback in the league.
2) Aaron Rodgers, Green Bay Packers
3) Drew Brees, New Orleans Saints
Choosing between Brees and Rodgers is tough, but the return of a healthy Randall Cobb and the departure of Darren Sproles is enough to tip the scales towards Rodgers for me. Green Bay tends to forget about the little things — Corey Linsley, a fourth round pick, will be the team’s starting center — but Rodgers has a way of curing all ills. Brees turns 36 in January, which is yet another reason to break ties in favor of Rodgers. Since ’09, Rodgers is the league-leader in ANY/A, while over that period, Brees has thrown the most touchdowns and gained the most yards. If Manning isn’t the king in 2014, it’s a good bet that either Rodgers or Brees took the crown. [click to continue…]
Some folks have the point of view that rookie quarterbacks should sit and learn. Some folks have the point of view that the only way a young quarterback can learn is by getting a ton of first team reps in practice and then playing real games. Do the numbers say anything about this?
“This is always going to be an impossible question to answer. We don’t live in a counter-factual world, and nobody knows what would have happened to David Carr if he sat on the bench for a couple of years. Ryan Mallett might benefit from having sat behind Tom Brady for three years, or he might just be the next Curtis Painter (or Brian Hoyer or Jim Sorgi or Rohan Davey).
That said, I’m pretty skeptical of the idea that a quarterback needs to sit and learn. There’s nothing wrong with sitting and learning, but I don’t think it makes a quarterback better. Aaron Rodgers was great right away after sitting for three years; had he started right away, he almost certainly would not have been that good, but I don’t doubt that he would have still turned into the superstar he is today.
One thing that isn’t really true: rookie quarterbacks aren’t really starting much earlier than they used to. In general, top picks always got a chance pretty early in their careers.”
You can read the full article here.
In 1995, Football Outsiders graded the Eagles special teams as the worst in the NFL. The next two years, Philadelphia ranked 20th and 26th, respectively. In 1998, after hiring a new special teams coordinator, the team still finished just 25th. But, over the next eight years, the Eagles’ special teams flipped dramatically, ranking as the second-best in football during that period. In fact, from 2000-2004, Philadelphia ranked in the top five in the Football Outsiders’ special teams ratings each season.
When the Ravens hired the coordinator of those special teams, John Harbaugh, as their head coach in 2008, Baltimore turned one of the more surprising coaching hires in recent history into one of the best. Based on where the team was when it hired him, Harbaugh’s first three years were about the best since 1990 of any coach not named Harbaugh, at least according to DVOA. The Ravens made the playoffs in Harbaugh’s first five seasons, winning the Super Bowl in the last of those. Harbaugh’s success even caused Chase to wonder whether it would change the way teams hired head coaches.
Since Harbaugh was so successful as a coordinator, does that mean he was a good bet to be a successful head coach? At first glance, you might think just about every coordinator who gets promoted or poached to become a head coach was very successful in his previous job. As it turns out, that’s not always the case. Once we correct for expectations, a little more than one in four hired head coaches actually underperformed in their previous jobs, at least according to DVOA.
Consider one man who performed particularly poorly as a coordinator: Eric Mangini. The 2005 New England defense had a DVOA that was 15.2 points lower than we would have predicted based on the Patriots’ performance in the preceding seasons. He was not so much of a (Man)genius to have a good defense in 2005, and that may have given some hint that he was not the greatest bet to succeed as a head coach, either.1
This leads to an obvious question: on average, have teams done better when they have hired head coaches who were actually good in their previous jobs (either as coordinators or head coaches)? Let’s take this to the data. [click to continue…]
A full one-quarter of all NFL teams have opening day starters who have won a Super Bowl: New England (Tom Brady), Pittsburgh (Ben Roethlisberger), Baltimore (Joe Flacco), Denver (Peyton Manning), New York Giants (Eli Manning), Green Bay (Aaron Rodgers), New Orleans (Drew Brees) and Seattle (Russell Wilson) all sport Super Bowl winning passers.
That’s pretty rare. In 1991, Jeff Hostetler was the only quarterback starting in week 1 who had a Lombardi Trophy on his resume.1 From 1993 to 2012, an average of 4.0 week 1 starters had previously won a title. Having a Super Bowl winning quarterback is nice, but it doesn’t exactly make a team unique. At least not for 2014.
1) In a 16-game regular season, what team has the highest low point total in their games? In other words, this is the only team to score 24 or more points in every game.
2) After reading Jason’s first trivia, I decided to do some digging. Since 1940, only two other teams scored more than 20 points in every game, including the postseason. Both teams were from the ’50s.
I think I’m one of eight billion people who love “The Wire” and “Breaking Bad.” Those are the two best TV shows I’ve seen and it isn’t particularly close.1 “The Wire” had an amazing volume of unforgettably vivid characters. Below is my list of memorable “Wire” characters. To be a real test of unforgettableness, it’s got to be off the top of my head, so I’m sure I’m going to forget somebody, but here goes and I’ll include the first thought that jumps to mind:
Omar (“man’s gotta have a code”), Bunk (“f***”), McNulty (“f***”), DeAngelo (library), Stringer (mastermind), Avon (winner), Brother Mouzone (bow tie), Cedric (good posture), Garcetti (that’s actually the mayor of LA, I mean the Baltimore mayor), Clay Davis (“sheeeeeet”), Bunny (“New Hamsterdam”), Keisha (car chase scene), Lester (wood carving), Bodie (corner), Prop Joe (large), …
Ah, Prop Joe. Prop Joe was a very large and very reasonable drug kingpin. His name apparently stemmed from saying “I’ve got a proposition for you,” so we could certainly see him getting into prop bets. So, in honor of Prop Joe, I’ll cover some intriguing season prop bets.2 Most of these bets are only available online, which continues to be a legal gray area. Like Prop Joe, I would never directly touch anything slightly questionable, so I will be referring to bets made by my good friend Rawls.3 We’ll start with his favorite prop bet for 2014 and go from there in descending order.
Rawls’s Prop Bet #1: $76 On Any Team To Win at Least 14 Games (Odds: 3/1)
At first glance this bet seems to have a lot of merit. Since the 1987 strike, at least one team won 14 games 15 out of 26 times (57.7%). In the last 15 years, it’s even better, hitting 10 out of 15 times (66.7%). The bet only needs to win 25% of the time to break even, so this looks fantastic.
But Chase brought up a point that Rawls missed: schedule strength. The years without a 14-game winner in the last 15 years include 2012 and 2013. Rawls dismissed that as a blip, but it comes in part from two of the best teams in football playing in the same division. Moreover, the last run of years without a 14-game winner (1993-1997) also happened during a time of NFC dominance, at least until ‘97. The Cowboys played the Packers and Niners every year during that span, for example. This season, the best teams in football may have it even tougher. The Niners and Seahawks have to play each other twice, and each has one of the four hardest schedules in football this year. The Broncos get the NFC West, the Saints have the sixth-hardest schedule, and the Packers have above-average schedule strength. Only the Patriots have an easy schedule amongst the main threats to win 14 games. [click to continue…]
The AFC East was a very stable division over the past two years. The Patriots won 12 games in 2012 and 12 more in 2013. The Bills, with six wins in 2013, also repeated their 2012 win total. Miami won 7 games in 2012, and then 8 last year. And the Jets followed up a 6-10 season in 2012 with an 8-8 season last year. That’s about as stable as a division can get. The four teams saw their win totals move by an aggregate of just three wins, making the 2012-2013 AFC East the most stable division since realignment.
On the other end of the spectrum: the NFC South. The Falcons dropped from 13 wins in 2012 to just four last year. The Panthers jumped from 7 wins in 2012 to 12 last year, and it didn’t even take Bill Parcells to do it. New Orleans also won seven games in 2012, but jumped to 12 wins in 2013. The team that saw the least movement in the NFC South last year was Tampa Bay, but the Bucs still fell from 7 wins to 4 wins, matching the total movement by all AFC East teams. As a group, NFC South teams had a change of 21 wins from 2012 to 2013, the most of any division since realignment.
That’s hardly new for the NFC South, or for that matter, the AFC East. Since realignment, the NFC South has easily been the league’s most unstable division: the Falcons, Saints, Bucs, and Panthers have seen their win totals fluctuate by an average total of 18.8 wins per year, beginning with the 2002-2003 seasons. The AFC East has been incredibly stable: no team has ever finished with more wins than New England, while the Bills have finished last or tied for last eight times since realignment. As a result, the average movement among AFC East teams — in the aggregate — has been just 6.3 wins.
Change in Wins/Yr
Change # Wins/Tm Yr
Kansas City ranked 4th in Adjusted Net Yards per Attempt in 2002, 1st in 2003, 3rd in 2004, and 2nd in 2005. In terms of Adjusted Yards per Carry, the Chiefs were 2nd in 2002, 3rd in 2003, 1st in 2004, and 3rd in 2005. That’s an incredible streak of not just dominance, but balanced dominance. And Kansas City missed the playoffs in three of those four years! (pours one out for Jason Lisk).
On Monday, we looked at some great defenses that missed the playoffs. Today, a look at some of the best offenses to stay home for the winter. And in the last 15 years, the 2002 Chiefs, 2004 Chiefs, and 2005 Chiefs are the only teams to rank in the top five in both ANY/A and AYPC and miss the playoffs.
What other teams since the merger met those criteria? [click to continue…]