The table below shows the average and median length of touchdown passes for each quarterback with at least 125 career passing touchdowns. Playoff touchdowns are included in this data set. Norm Van Brocklin is your career leader, although it is Otto Graham who is the leader in median touchdown length; as such, the Van Brocklin/Graham debate must rage on. [click to continue…]

Yards per Attempt is not as good as Net Yards per Attempt, which accounts for sacks, and it’s not as good as Adjusted Net Yards per Attempt when it comes to predicting wins, since that metric includes touchdowns and interceptions. But still, vanilla Yards per Attempt usually correlates decently well with winning teams. The emphasis here is on the word usually.

There were four teams that stood out from the pack in yards per attempt last year: while 28 teams averaged less than 8.0 Y/A, four team averaged 8.2, 8.3, or 8.4 yards per attempt. Those teams were Dallas, Green Bay, Pittsburgh, and…

Why don’t you try to guess the 4th team.

[Come on, give it a good try.]

[Wrong. Guess again.]

[Nope. One more guess.] [click to continue…]

Previously on “take away his X [best/worst]” plays:

- Take Away His X Best Carries And He’s Average
- Take Away His X Worst Carries And He’s Average
- Take Away His X Best Passes And He’s Average

In April, I noted that you would need to take away Peyton Manning’s best 19 passes in order to bring his stellar Net Yards per Attempt average to below league average. Today, we look at the reverse question: How many of Derek Carr’s worst dropbacks would we need to erase to bring his NY/A above league average? I’ll give you a moment to think about the answer. [click to continue…]

Last week, I looked at how many top carries needed to be removed in order to bring the best running backs below league average. Today, I want to do the same thing, but for quarterbacks, using pass attempts.^{1}

Aaron Rodgers averaged 7.7 net yards per attempt last year, the best rate in all of football. But as it turns out, he’s not the leader in this metric. You may be surprised to learn that one “only” needs to remove Rodgers’ 15 best pass plays to bring his NY/A average below the 2014 league average rate of 6.35. Meanwhile, you have to remove 19 of Peyton Manning’s top plays to bring his 7.5 NY/A average below league average. That’s because Rodgers’ ten best pass plays went for 642 yards, while Peyton Manning’s top ten pass completions gained 499 yards.^{2}

Regular readers know the drill; if you need more info on how to read the table, check last week’s post. The table below displays all quarterbacks who had at least 100 dropbacks last season and finished with a NY/A average above 6.35; the final column displays how many of each player’s top pass attempts need to be removed to bring his NY/A average below league average.

Quarterback | DB | NetYd | NY/A | Num |
---|---|---|---|---|

Peyton Manning | 614 | 4608 | 7.5 | 19 |

Ben Roethlisberger | 642 | 4765 | 7.42 | 15 |

Aaron Rodgers | 547 | 4209 | 7.69 | 15 |

Tony Romo | 465 | 3465 | 7.45 | 12 |

Drew Brees | 687 | 4771 | 6.94 | 10 |

Andrew Luck | 643 | 4583 | 7.13 | 10 |

Matt Ryan | 658 | 4494 | 6.83 | 7 |

Philip Rivers | 604 | 4085 | 6.76 | 6 |

Ryan Fitzpatrick | 333 | 2389 | 7.17 | 6 |

Kirk Cousins | 212 | 1640 | 7.74 | 6 |

Eli Manning | 629 | 4227 | 6.72 | 4 |

Joe Flacco | 574 | 3834 | 6.68 | 4 |

Brian Hoyer | 463 | 3177 | 6.86 | 4 |

Mark Sanchez | 330 | 2269 | 6.88 | 4 |

Tom Brady | 605 | 3969 | 6.56 | 3 |

Andy Dalton | 504 | 3282 | 6.51 | 2 |

Russell Wilson | 492 | 3237 | 6.58 | 2 |

Drew Stanton | 251 | 1645 | 6.55 | 2 |

Carson Palmer | 233 | 1563 | 6.71 | 2 |

Nick Foles | 321 | 2091 | 6.51 | 1 |

Zach Mettenberger | 196 | 1274 | 6.5 | 1 |

Colt McCoy | 145 | 947 | 6.53 | 1 |

I’ll again leave the commentary to you guys.

Adam Steele is back for another guest post. And, as always, we thank him for that. You can view all of Adam’s posts here.

During the 2014 season, Chase noted that the league-wide touchdown pass rate was the highest it had been since the NFL merger. The final few weeks of the season dragged down the average a little bit, but 2014 still checks in as the most touchdown pass friendly year in NFL history. In response, a few commenters cited the possibility that teams were tallying more TD passes by sacrificing TD runs, which is a logical conclusion considering the very low rate of rushing touchdowns in 2014 (teams averaged 0.74 per game, the lowest since 1999). Today, I’m going to look into this further and see if teams really are inflating their passing TD numbers at the expense of the run.

First, we have to establish a historical baseline, and I did this by looking at every NFL season since 1950.^{1} In that time frame, teams averaged 2.26 offensive touchdowns per game, with 1.35 of those coming via the pass and 0.91 via the run. Translated into a ratio, offensive touchdowns have historically been 59.6% passing and 40.4% rushing. That 59.6% is the key number here, as it will be the baseline ratio for expected passing touchdowns. Below is a chart containing relevant information for each year since 1950. The “PaTD %” column represents the percentage of offensive touchdowns in a given year that were scored via the pass, and the “Inflation” column compares that year’s passing TD ratio with the historical average of 59.6%.

Year | PassTD/G | RushTD/G | OffTD/G | PaTD % | Inflation |
---|---|---|---|---|---|

2014 | 1.58 | 0.74 | 2.32 | 68% | 14.1% |

2013 | 1.57 | 0.8 | 2.37 | 66.2% | 11.1% |

1965 | 1.57 | 1.01 | 2.57 | 60.9% | 2.2% |

1963 | 1.54 | 0.97 | 2.51 | 61.4% | 3% |

1962 | 1.53 | 1.09 | 2.62 | 58.5% | -1.9% |

1952 | 1.51 | 1.02 | 2.53 | 59.7% | 0.2% |

2012 | 1.48 | 0.78 | 2.26 | 65.4% | 9.7% |

2010 | 1.47 | 0.78 | 2.25 | 65.3% | 9.6% |

1958 | 1.47 | 1.22 | 2.69 | 54.5% | -8.5% |

1954 | 1.47 | 1.06 | 2.52 | 58.1% | -2.5% |

2011 | 1.46 | 0.78 | 2.24 | 65.1% | 9.2% |

1987 | 1.45 | 0.86 | 2.31 | 62.9% | 5.5% |

1961 | 1.45 | 1.05 | 2.5 | 58.2% | -2.4% |

1967 | 1.45 | 0.98 | 2.42 | 59.7% | 0.1% |

1969 | 1.44 | 0.88 | 2.32 | 62.1% | 4.2% |

2004 | 1.43 | 0.81 | 2.24 | 63.8% | 7% |

1964 | 1.42 | 0.99 | 2.41 | 58.9% | -1.2% |

1960 | 1.42 | 1.03 | 2.45 | 57.9% | -2.9% |

1950 | 1.41 | 1.33 | 2.74 | 51.4% | -13.7% |

2007 | 1.41 | 0.75 | 2.16 | 65.1% | 9.2% |

1983 | 1.4 | 0.98 | 2.37 | 58.9% | -1.2% |

1951 | 1.39 | 1.22 | 2.6 | 53.3% | -10.5% |

2009 | 1.39 | 0.84 | 2.22 | 62.3% | 4.6% |

1995 | 1.38 | 0.8 | 2.18 | 63.3% | 6.2% |

1984 | 1.37 | 0.92 | 2.29 | 60% | 0.7% |

1998 | 1.37 | 0.79 | 2.16 | 63.5% | 6.5% |

1968 | 1.37 | 0.9 | 2.27 | 60.4% | 1.4% |

1959 | 1.37 | 1.1 | 2.47 | 55.3% | -7.1% |

2002 | 1.36 | 0.9 | 2.25 | 60.1% | 0.9% |

1980 | 1.35 | 0.96 | 2.31 | 58.4% | -1.9% |

1999 | 1.34 | 0.73 | 2.07 | 64.7% | 8.6% |

1985 | 1.33 | 0.99 | 2.32 | 57.4% | -3.6% |

1966 | 1.33 | 0.95 | 2.29 | 58.3% | -2.1% |

1981 | 1.32 | 0.98 | 2.3 | 57.3% | -3.9% |

1953 | 1.31 | 1.17 | 2.49 | 52.8% | -11.4% |

1986 | 1.31 | 0.9 | 2.2 | 59.4% | -0.4% |

1996 | 1.3 | 0.76 | 2.06 | 63.2% | 6.1% |

1994 | 1.3 | 0.76 | 2.06 | 63.2% | 6% |

1989 | 1.3 | 0.87 | 2.17 | 60% | 0.7% |

1997 | 1.29 | 0.8 | 2.09 | 61.6% | 3.4% |

1990 | 1.28 | 0.84 | 2.13 | 60.4% | 1.4% |

2001 | 1.28 | 0.74 | 2.02 | 63.5% | 6.6% |

2000 | 1.28 | 0.83 | 2.11 | 60.6% | 1.7% |

2003 | 1.28 | 0.83 | 2.11 | 60.5% | 1.5% |

1982 | 1.27 | 0.92 | 2.19 | 58.1% | -2.5% |

2006 | 1.27 | 0.83 | 2.09 | 60.4% | 1.4% |

2008 | 1.26 | 0.93 | 2.19 | 57.6% | -3.4% |

2005 | 1.26 | 0.84 | 2.1 | 59.9% | 0.5% |

1955 | 1.25 | 1.15 | 2.4 | 52% | -12.7% |

1988 | 1.24 | 0.95 | 2.19 | 56.7% | -4.8% |

1979 | 1.2 | 1.09 | 2.29 | 52.5% | -11.9% |

1975 | 1.19 | 1.13 | 2.32 | 51.2% | -14.1% |

1957 | 1.18 | 1.1 | 2.28 | 51.7% | -13.3% |

1970 | 1.17 | 0.8 | 1.98 | 59.3% | -0.5% |

1993 | 1.15 | 0.68 | 1.83 | 63% | 5.7% |

1992 | 1.15 | 0.74 | 1.9 | 60.8% | 2% |

1991 | 1.14 | 0.8 | 1.94 | 58.8% | -1.3% |

1956 | 1.13 | 1.24 | 2.37 | 47.5% | -20.3% |

1972 | 1.11 | 1 | 2.11 | 52.6% | -11.7% |

1976 | 1.1 | 1.06 | 2.16 | 51.1% | -14.3% |

1971 | 1.07 | 0.91 | 1.98 | 53.9% | -9.6% |

1978 | 1.04 | 1.01 | 2.06 | 50.8% | -14.8% |

1973 | 1.04 | 0.91 | 1.95 | 53.4% | -10.4% |

1974 | 1.03 | 1 | 2.04 | 50.7% | -14.8% |

1977 | 0.99 | 0.9 | 1.89 | 52.4% | -12% |

As you can see, 2014 really did feature highly inflated passing TD totals, with 68.0% of offensive touchdowns coming through the air. This trend began in 2010, stabilized for four years, then jumped again significantly last season. The most obvious explanation is that teams are now passing more in general, so it would follow that they would also pass more to score touchdowns. But that’s only part of the story, as the rate of passing touchdowns has far outstripped the rate of overall called passes.

The main culprit appears to be goal line play selection, which has heavily favored the pass in recent seasons. Interestingly, from 1997-2009, there was no trend whatsoever, with passing TD ratios jumping around randomly from season to season. From 1980-1994, passing TD ratios were slightly lower, yet still very random. Even during the dead ball era of the 1970s, when the rules made passing far more difficult than it is today, teams still scored more often with passes than they did with runs. In fact, the famous 1956 season was the only time in the last 65 years where teams scored more rushing touchdowns than passing touchdowns.

But here’s what fascinates me the most: Despite the huge increases in total yardage and passing efficiency in recent years, offensive touchdowns have increased very little. In 2014, teams scored only 0.06 more offensive touchdowns than the historical average. In fact, the top 15 seasons for offensive TD production all came before the merger! If the NFL had been playing a 16 game schedule in the ’50s and ’60s, TD pass totals would be very similar to what we see today, and rushing TD totals would be higher.

So how does all this affect touchdown records for various quarterbacks? Since the 16 game schedule began in 1978, there have been 51 teams who scored at least 50 offensive touchdowns in a given season. Of those 51 teams, 33 of them had passing TD ratios above the historical average of 59.6%. In this chart, I list the primary QB, although the numbers represent team totals. The “Adjusted Pass TD” column is calculated by multiplying offensive touchdowns by .596, calculating how many TD passes would have been thrown by sticking with the historical average ratio. The “Change” column represents the difference in adjusted TD passes compared to actual TD passes, basically measuring how many TD pass were vultured from the run game.

Year | Team | QB | PassTD | RushTD | OffTD | PaTD% | Adj PaTD | Change | Inflation |
---|---|---|---|---|---|---|---|---|---|

2013 | Broncos | Manning | 55 | 16 | 71 | 77% | 42 | -13 | 30% |

2007 | Patriots | Brady | 50 | 17 | 67 | 75% | 40 | -10 | 25.2% |

1984 | Dolphins | Marino | 49 | 18 | 67 | 73% | 40 | -9 | 22.7% |

2011 | Packers | Rodgers | 51 | 12 | 63 | 81% | 38 | -13 | 35.8% |

2000 | Rams | Warner | 37 | 26 | 63 | 59% | 38 | 1 | -1.4% |

2011 | Saints | Brees | 46 | 16 | 62 | 74% | 37 | -9 | 24.5% |

2004 | Colts | Manning | 51 | 10 | 61 | 84% | 36 | -15 | 40.3% |

1998 | 49ers | Young | 41 | 19 | 60 | 68% | 36 | -5 | 14.7% |

1994 | 49ers | Young | 37 | 23 | 60 | 62% | 36 | -1 | 3.5% |

1981 | Chargers | Fouts | 34 | 26 | 60 | 57% | 36 | 2 | -4.9% |

2012 | Patriots | Brady | 34 | 25 | 59 | 58% | 35 | 1 | -3.3% |

1983 | Redskins | Theismann | 29 | 30 | 59 | 49% | 35 | 6 | -17.5% |

1998 | Vikings | Cunningham | 41 | 17 | 58 | 71% | 35 | -6 | 18.6% |

1998 | Broncos | Elway | 32 | 26 | 58 | 55% | 35 | 3 | -7.4% |

2004 | Chiefs | Green | 27 | 31 | 58 | 47% | 35 | 8 | -21.9% |

2011 | Patriots | Brady | 39 | 18 | 57 | 68% | 34 | -5 | 14.8% |

2001 | Rams | Warner | 37 | 20 | 57 | 65% | 34 | -3 | 8.9% |

1985 | Chargers | Fouts | 37 | 20 | 57 | 65% | 34 | -3 | 8.9% |

2010 | Patriots | Brady | 37 | 19 | 56 | 66% | 33 | -4 | 10.9% |

1980 | Cowboys | White | 30 | 26 | 56 | 54% | 33 | 3 | -10.1% |

2006 | Chargers | Rivers | 24 | 32 | 56 | 43% | 33 | 9 | -28.1% |

2003 | Chiefs | Green | 24 | 32 | 56 | 43% | 33 | 9 | -28.1% |

1986 | Dolphins | Marino | 46 | 9 | 55 | 84% | 33 | -13 | 40.4% |

1999 | Rams | Warner | 42 | 13 | 55 | 76% | 33 | -9 | 28.1% |

2014 | Broncos | Manning | 40 | 15 | 55 | 73% | 33 | -7 | 22% |

1991 | Bills | Kelly | 39 | 16 | 55 | 71% | 33 | -6 | 19% |

2009 | Saints | Brees | 34 | 21 | 55 | 62% | 33 | -1 | 3.7% |

1993 | 49ers | Young | 29 | 26 | 55 | 53% | 33 | 4 | -11.5% |

1988 | Bengals | Esiason | 28 | 27 | 55 | 51% | 33 | 5 | -14.6% |

2008 | Saints | Brees | 34 | 20 | 54 | 63% | 32 | -2 | 5.7% |

2005 | Seahawks | Hasselbeck | 25 | 29 | 54 | 46% | 32 | 7 | -22.3% |

2012 | Saints | Brees | 43 | 10 | 53 | 81% | 32 | -11 | 36.2% |

2014 | Cowboys | Romo | 37 | 16 | 53 | 70% | 32 | -5 | 17.2% |

2009 | Vikings | Favre | 34 | 19 | 53 | 64% | 32 | -2 | 7.7% |

1984 | 49ers | Montana | 32 | 21 | 53 | 60% | 32 | 0 | 1.3% |

2004 | Chargers | Brees | 29 | 24 | 53 | 55% | 32 | 3 | -8.2% |

2002 | Chiefs | Green | 27 | 26 | 53 | 51% | 32 | 5 | -14.5% |

2014 | Packers | Rodgers | 38 | 14 | 52 | 73% | 31 | -7 | 22.6% |

1983 | Cowboys | White | 31 | 21 | 52 | 60% | 31 | 0 | 0% |

2014 | Colts | Luck | 42 | 9 | 51 | 82% | 30 | -12 | 38.2% |

2013 | Eagles | Foles | 32 | 19 | 51 | 63% | 30 | -2 | 5.3% |

2007 | Colts | Manning | 32 | 19 | 51 | 63% | 30 | -2 | 5.3% |

1985 | Bengals | Esiason | 31 | 20 | 51 | 61% | 30 | -1 | 2% |

1991 | Redskins | Rypien | 30 | 21 | 51 | 59% | 30 | 0 | -1.3% |

1992 | 49ers | Young | 29 | 22 | 51 | 57% | 30 | 1 | -4.6% |

2000 | Raiders | Gannon | 28 | 23 | 51 | 55% | 30 | 2 | -7.9% |

2011 | Lions | Stafford | 41 | 9 | 50 | 82% | 30 | -11 | 37.6% |

2007 | Cowboys | Romo | 36 | 14 | 50 | 72% | 30 | -6 | 20.8% |

2003 | Packers | Favre | 32 | 18 | 50 | 64% | 30 | -2 | 7.4% |

1985 | Dolphins | Marino | 31 | 19 | 50 | 62% | 30 | -1 | 4% |

2009 | Packers | Rodgers | 30 | 20 | 50 | 60% | 30 | 0 | 0.7% |

I have plenty of thoughts about this chart, but I’m more interested to see what the readers think. Does this analysis change your opinion of any of these great QB seasons?

- AFL numbers were not included. [↩]

The first 3,000 yard passer came in 1960, when Johnny Unitas reached such feat in the NFL and Jack Kemp and Frank Tripucka did so in the AFL. Joe Namath became the first 4,000-yard passer seven years later, and Dan Marino in 1984 was the first to reach 5,000 yards.

The graph below shows the number of 3,000 yard passers in **blue**, 4,000-yard passers in **red**, and 5,000-yard passers in **green **in each season since 1960. As you can see — and no doubt already knew — passing productivity is on the rise:

Guest contributor Adam Steele is back again. You can read all of Adam’s articles here.

Are Interceptions Overrated?

There’s nothing worse than throwing an interception. Everyone seems to agree on this, from fans to media to advanced stats guys. But is it really true? In this quick study, I looked at the tradeoff between interception avoidance and aggressive downfield passing to see which strategy has a larger impact on winning. To measure this, I created two categories of quarterbacks: Game Managers and Gunslingers.

First, the Game Managers, which includes all post-merger quarterback seasons with an INT%+ of at least 110^{1} and a NY/A+ of 90 or below (min 224 attempts).^{2} These guys avoided picks but failed to move the ball efficiently, the hallmark of a conservative playing style.

Ryan Lindley had a very, very bad day against the Carolina Panthers on Saturday. He completed 16 of 28 passes for just 82 yards, with one touchdown and two interceptions. He was also sacked four times and lost 31 yards. Assigning 20 yards per passing touchdown and -45 per interception, and including the sack data, this means Lindley produced -19 adjusted net yards. Given his 32 dropbacks, that translates to a -0.59 ANY/A average.

Which, of course, is really bad. The fact that it came in the most pass-friendly era in history makes it look even worse, although that’s slightly tempered by the fact that the Panthers have an above-average defense. We can combine the era- and SOS-adjustments in one step by noting that Carolina allowed 5.84 ANY/A to opposing passers this year. As a result, this means Lindley fell 6.45 ANY/A short of what we would expect, given the Panthers defense and this era. Over the course of 32 dropbacks, that means Lindley produced 206 Adjusted Net Yards below expectation.

Using that methodology for every playoff game since 1950, Lindley’s mark is the 9th worst in playoff history. The worst? That belongs to Kerry Collins in Super Bowl XXXV. Here’s how to read the table below. Collins averaged -2.19 ANY/A against the Ravens over the course of 43 dropbacks; the Baltimore defense, of course, was very good against the pass, allowing just 3.88 ANY/A. Still, that means Collins fell 6.07 ANY/A short of expectation. Over 43 dropbacks, that’s -261 ANY below what we would expect given the Ravens defense, the worst ever.

One final note: in the table below, you can click on the “Year” cell for each player to go to the boxscore for that game. [click to continue…]

Josh McCown had a passer rating of 109.0 last year, the third best in the NFL in 2013. With one game left in the 2014 season, McCown has a passer rating of 70.5, and he is in a tight three-way race with Geno Smith and Blake Bortles to see who finishes the season with the worst passer rating. **Update: McCown had a passer rating of 70.0 in week 17, and finished the year with a 70.5 passer rating.** A decline of 38.5 points in a quarterback’s passer rating is enormous, but not unprecedented. In fact, eight other players (minimum 200 pass attempts both years) have seen larger declines:

**#8) Daunte Culpepper (2004-2005)**

In 2004, Culpepper set an NFL record with 5,123 yards of total offense. I wrote about Culpepper’s great ’04 season and his subsequent decline at the PFR blog back in 2007, and I maintain that Culpepper was a very underrated quarterback during his time in Minnesota. In 2004, he finished with a passer rating of 110.9; the next year, his final with the Vikings, he threw 6 touchdowns against 12 interceptions in seven games, before an ACL year ended his season. He finished with a 72.0 passer rating, representing a 38.9 point drop from his lofty ’04 standard. [click to continue…]

ANY/A leaves much to be desired as the end-all, be-all measure of quarterback play, but it’s simple, easy to understand, and works well for historical comparisons. At the end of the year, I will produce an SOS-adjusted version of the statistic, but today, I just wanted to take a quick look at the leaderboard. There are a few surprises, after the very expected result at the top of the list. [click to continue…]

In case you haven’t noticed, 2014 is on pace to become the greatest passing season in NFL history. Which may not be surprising, since just a few months ago, the three best passing seasons in NFL history were the 2012, 2011, and 2013 seasons. Falling into fifth place will be the… 2010 NFL season. So passing numbers are on the rise, but you already knew that.

Through week 13 of the 2014 season, the NFL average Adjusted Net Yards per Attempt — defined as gross passing yards, plus 20 yards for every touchdown pass, minus 45 yards for every interception, and minus sack yards, all divided by the total number of pass attempts plus sacks — was at 6.26. Most passing statistically typically take a trip south in December (and prior to SNF, the week 14 average was 5.85), but 6.26 would be a significant outlier even in our high-flying times. The graph below shows the NFL average ANY/A for each season since 1950. Of course, we are doing a bit of apples-to-oranges comparisons by using full season numbers for all years and through-13-weeks numbers for 2014, but so be it: [click to continue…]

Over the course of his 35 dropbacks, that means Dalton provided -258 adjusted net yards of value relative to expectation. That’s bad — really bad — but it only ranks as the 83rd worst performance since the merger. The table below shows the 150 worst games since 1970, although for 2014, I have only included Dalton’s game (so Geno Smith and his bad performances could make the list, but I didn’t have time to calculate — feel free to do so in the comments!). [click to continue…]

The Jets passing offense being bad does not qualify for news. However, the Jets passing offense and passing defense combining for historically inept numbers? Sure, that qualifies.

New York has thrown 8 touchdown passes this year against 11 interceptions. That’s a -3 differential which is pretty bad. Only two other teams have negative ratios this year: the Jaguars, also at -3 (11 TDs, 14 INTs), and the Vikings at -5 (6/11). But the Jets pass defense has allowed 24 touchdowns while forcing just 1… ahem, ONE… interception. That +23 ratio for opposing quarterbacks is better than any offense this year (the Broncos are at +19 (24/5), and the Patriots and Steelers are both at +20 with matching 23/3 TD/INT ratios).

From the perspective of the Jets defense, though, that +23 reverses to a -23. Add to that the -3 from the offensive side of the ball, and New York’s combined TD/INT ratio from both units is an incredibly bad -26.

How bad? It’s tied for the 2nd worst number through 9 games since 1970, just narrowly behind the 1975 Cleveland Browns. Those Browns began the year with 3 passing touchdowns and 17 interceptions through nine games. Okay, that was even bad for the dead ball era, but what about the defense? Cleveland allowed 19 passing touchdowns while forcing just six interceptions during that stretch! Those numbers led to an 0-9 start under first-year head coach Forrest Gregg.

The table below shows all teams to start the season with at least a -20 ratio in this statistic I just made up. Here’s how to read the line from the famous 1944 Card/Pitt combination, forced together due to World War II. Through nine games, that team threw 8 touchdowns and 40 interceptions (-32), while allowing 19 passing touchdowns and intercepting just 15 passes (-4), for a total score of -36. [click to continue…]

Adam Steele is back for his third guest post in his Marginal YAC series.

In my two previous two posts, I introduced Marginal YAC and Marginal Air Yards. Today, I’m posting the career mYAC and mAir for the 96 quarterbacks with at least 1,000 pass attempts from 1992-2013. There’s a lot of data here, so I’ll let the readers do most of the commentary.

Here is a table of career Marginal YAC. The “Per 300” column is the rate of mYAC per 300 completions, or roughly equivalent to one full season. And on a “per season” basis, no quarterback benefited more from YAC than Steve Young, who also had four top-40 seasons. [click to continue…]

In early September, Adam Steele, a longtime reader and commenter known by the username “Red” introduced us to his concept of Marginal Yards after the Catch. Today is Part II to that post. Adam lives in Superior, Colorado and enjoys digging beneath quarterback narratives to discover the truth; hey, who can blame him?

**Introducing Marginal Air Yards**

There are three components of Y/A: Completion %, Air Yards/Completion, and YAC/Completion. In my last post I looked at YAC, so today, let’s look at the other two components. By multiplying completion percentage and air yards per completion, we get air yards per attempt, which we can then modify to create Marginal Air Yards (mAir):

mAir = *(Air Yards/Attempt – LgAvg Air Yards/Attempt)*Attempts*

Here are the yearly Air Yard rates since 1992, with the table sorted by Air Yards per Attempt:: [click to continue…]

Naturally, that made me wonder how far back we would have to go to calculate the last 500 touchdown passes for each franchise. The four most recent expansion franchises — Houston, Jacksonville, Carolina, and Baltimore — have yet to throw even 400 touchdown passes. For Manning, of course, he’s thrown 500 passes beginning in the 1998 season. That’s better than any franchise in the NFL; the closest team would be the Packers. To count 500 Green Bay touchdown throws, you would need to start on November 23, 1997. Beginning on that date, Favre would throw another 269 touchdowns for the Packers, Aaron Rodgers would chip in with 200, and a handful of other Green Bay players would combine for 31 scoring throws. [click to continue…]

In the third quarter on Monday night, I texted my Patriots fan buddy Matt, “Is it possible that we suck? Maybe the run is finally over.” Bill Barnwell mused on this, and Aaron Schatz also wrote about it. It was hard not to think that, given the way the Patriots were manhandled by a mediocre team playing without several key players. It looked every bit as bad as the 41-14 score and maybe worse.

I remember the last time I wondered if the Pats were done. In a 34-14 loss to the Browns in 2010, the Patriots looked pretty impotent. In that game, as in the Chiefs one, the Pats had just under 300 yards of offense. Peyton Hillis ran over the Patriots. Of course, that wasn’t the end. Maybe this time is different, though. If anything the Chiefs game was even worse, so it’s possible this time really is the end.^{1}

Will the Patriots offense be good later this year? To provide a little insight into this, I went back and looked at performance trends for quarterbacks who have had long careers. The first table looks at quarterbacks since 1969 who have the biggest single-season drops in adjusted net yards per attempt (ANY/A) from the previous five year trend. I look just at quarterbacks with at least 100 attempts in a season and I weight by the number of attempts when calculating the average ANY/A over the previous five years.

- And those Pats were 6-1 at the time of the loss to the Browns. [↩]

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. [↩]

A couple of years ago, I asked how long it should have taken the Jaguars to move on from Blaine Gabbert. Today I want to revisit that general idea, but look at how long it takes the best quarterbacks to identify themselves as top-tier players. A couple of months ago, I looked at the greatest quarterbacks of all time. Using the top 75 quarterbacks from that list, I removed any player whose career began before the merger; that left me with 42 passers.

First, I looked at how each quarterback fared in relative Adjusted Net Yards per Attempt — i.e., ANY/A relative to league average — through their first 16 starts. Just over two-thirds of these passers were above average during their first 16 starts, with 1/3 of those quarterbacks being at least 1 ANY/A better than league average. That group of fourteen quarterbacks — which Aaron Rodgers just falls shy of joining — can be categorized as above-average quarterbacks from the beginning. They are Kurt Warner, Dan Marino, Daunte Culpepper, Chad Pennington, Tony Romo, Mark Rypien, Jeff Garcia, Boomer Esiason, Ben Roethlisberger, Philip Rivers, Matt Ryan, Joe Montana, Steve McNair, and Ken Stabler. Obviously a number of those quarterbacks were not immediate starters in the NFL, but they did excel as soon as they became starters.

The graph below shows each of the 42 quarterbacks’ Relative ANY/A through their first 16 starts. The X-Axis represents the quarterback’s first year, and the Y-Axis shows their RANY/A value through 16 starts.

Now, let’s remove the 14 quarterbacks who had a RANY/A of at least +1.0 through their first sixteen starts. How did the other 28 quarterbacks fare in starts 17 through 32 in RANY/A? Eleven of them produced a RANY/A of at least +1.0 in their next sixteen starts: Bert Jones, Matt Schaub, Ken Anderson, Peyton Manning, Aaron Rodgers, Brad Johnson, Carson Palmer, Jim Everett, Steve Young, Dan Fouts, and Steve Grogan.

The past couple of days, we looked at the players with the most receiving yards and rushing yards in their final 16 regular season games. Today, we get to the quarterbacks.

Only one non-active player threw for 4,000 yards in his final 16 games.

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Three other players threw for 3900+ yards. That doesn’t include Dan Fouts (3,805) or Dan Marino (3,869), but it does include quarterbacks from the great, the good, and the ugly category.

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In 2000, a second-year Akili Smith was given the starting job and posted a miserable 52.8 passer rating. A year later, Jon Kitna took over for the Bengals, and his 61.1 rating was the worst among qualifying passers.

In 1993, Mark Rypien finished with the worst passer rating in the league two years after winning the Super Bowl. Washington drafted Heath Shuler the following year, and as a rookie, Shuler finished with the worst passer rating in the NFL.

The Seahawks almost pulled off this feat in the prior two years. In 1992, Stan Gelbaugh had the worst passer rating as part of the historically inept Seattle passing attack. In 1991, Jeff Kemp finished with the worst passer rating in the league. Kemp, the son of Jack , started the year with Seattle but finished it with Philadelphia. He didn’t have enough attempts with the Seahawks to qualify, so I probably wouldn’t include the ’91-’92 Seahawks in this category, although that may be pickin’ nits.

The table below shows the quarterbacks to finish with the lowest passer rating in the NFL in each year since the merger. For each passer, I’ve included his age as of September 1st of that season, his traditional metrics, and his passer rating. [click to continue…]

Yesterday, I analyzed the 2013 passing numbers for strength of schedule. Today, we look at the best and worst games of the year, from the perspectives of both the quarterbacks and the defenses.

Let’s start with the top 100 passing games from 2014. The top spot belongs to Philadelphia’s Nick Foles, for his monstrous performance against Oakland. Foles threw for 406 yards and 7 touchdowns on just 28 pass attempts. Even including his one one-yard sack, Foles averaged a whopping 18.79 ANY/A in that game. The league-average last season was 5.86 ANY/A, which means Foles was 12.93 ANY/A above average. Now since the game came against the Raiders, we have to reduce that by -1.29, which was how many ANY/A the Raiders defense was below average. So that puts Foles at +11.64; multiply that by his 29 dropbacks, and he produced 337 adjusted net yards of value above average after adjusting for strength of schedule. That narrowly edges out the other seven-touchdown game of 2013, which came at the hands of Peyton Manning against Baltimore on opening night.

The third spot goes to Drew Brees in a week 17 performance against Tampa Bay. The 4th best game of 2013 was a bit more memorable: Tony Romo takes that prize in a losing effort, the insane week five shootout against Manning and the Broncos (Peyton’s performance checks in at #32). The table below shows the top 100 games of 2013, although for viewing purposes, it displays only the top 10 by default (all tables, as usual, are fully searchable, expandable, and sortable). [click to continue…]

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. For visibility reasons, the table below displays only the top 25 quarterbacks initially, but you can change that number in the filter or click on the right arrow to see the remaining quarterbacks.^{1}

Here’s how to read the table. Manning’s first year was in 1998, and his last in 2013. He’s had 8,740 “dropbacks” in his career, which include pass attempts, sacks, and rushing touchdowns. His career value — using the 100/95/90 formula^{2} is 12,769, putting him at number one. His strength of schedule has been perfectly average over his career; as a reminder, the SOS column is shown just for reference, as SOS is already incorporated into these numbers (so while Tom Brady has had a schedule that’s 0.25 ANY/A tougher than average, that’s already incorporated into his 10,063 grade). Manning is not yet eligible for the Hall of Fame, of course, but I’ve listed the HOF status of each quarterback in the table. Note that I only have quarterback records going back to 1960; therefore, for quarterbacks who played before and during (or after) 1960, only their post-1960 record is displayed. In addition, SOS adjustments are only for the years beginning in 1960. [click to continue…]

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. And two years ago, I revised the formula and produced a new set of career rankings.

This time around, I’m not going to tweak the formula much (that’s for GQBOAT VI), but I do have one big change that I suspect will be well-received. Let’s review the methodology.

**Methodology**

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 denominator.^{1} To include touchdowns and interceptions, 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.

Now, here comes the twist. In past year, I’ve compared each quarterback’s “ANY/A” — I put that term in quotes because what we’re really using is ANY/A with a rushing touchdowns modifier — and then calculated a value over average statistic after comparing that rate to the league average. For example, if a QB has an “ANY/A” of 7.0 and the NFL average “ANY/A” is 5.0, and the quarterback has 500 “dropbacks” — i.e., pass attempts plus sacks plus rushing touchdowns — then the quarterback gets credit for 1,000 yards above average. [click to continue…]

- I have individual game sack data for every quarterback back to 2008. For seasons between 1969 and 2007, I have season sack data and team game sack data, so I was able to derive best-fit estimates for each quarterback in each game. For seasons between 1960 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. [↩]

In some ways, the premise of this post is geeky even for this site. And that’s saying something. There is a debate over the proper way to measure league average. For example, when we say the average completion percentage in the NFL is 61.2%, this is generally assumed to reflect the fact that in 2013, there were 18,136 passes thrown in the NFL, and 11,102 of them were completed.

An alternative method of measuring completion percentage in the NFL is take the average completion percentage of each of the 32 teams. That number won’t be very different, but it won’t be identical, either. The difference, of course, is that this method places the same weight on each team’s passing attack when determining the league average. The former, more common method, means that the Cleveland Browns make up 3.755% of all NFL pass attempts and the San Francisco 49ers are responsible for only 2.299% of the league-average passing numbers. The latter method puts all teams at 3.125% of NFL average.

Wow, Chase, is this really a football blog? Two paragraphs on calculating the average in a data set? Believe it or not, that background presents an interesting way to look at how the NFL has become more of a passing league.

For example, let’s look at the 1972 season. Miami led the NFL in points scored and in rushing attempts, while ranking 24th out of 26 teams in pass attempts. Does this mean the Dolphins weren’t a good passing team? Of course not; in fact, Miami had the highest Adjusted Net Yards per Attempt average of any team that season! That year,only two teams threw over 400 passes: New England and New Orleans. And both teams were below-average in ANY/A, with the Patriots ranking in the bottom three.

In 1972, the average pass in the NFL gained 4.28 Adjusted Net Yards. But an average of each team’s ANY/A average was 4.34, because good passing teams like Miami and Washington passed less frequently than bad passing teams like New England and New Orleans. **The league-wide average was only 98.5% of the “average of the averages” average**; whenever that number is less than 100%, we can conclude that the better passing teams are passing less frequently.

Fast forward 39 years. In 2011, three teams topped the 600-attempt mark: Detroit, New Orleans, and New England. Tom Brady’s Patriots and Drew Brees’ Saints ranked in the top three in ANY/A (and the Lions in the top 7), while Aaron Rodgers’ top-ranked Packers in ANY/A still finished above average in pass attempts. The Tim Tebow Broncos were last in pass attempts, and in the bottom ten in ANY/A. The Jaguars, who finished last in ANY/A by a large margin, were in the bottom five in pass attempts, too, as Maurice Jones-Drew led the league in rushing. In 2011, the league-wide average ANY/A was 5.90, while the “average of the 32 teams” ANY/A was 5.85; that’s because the best passing teams were throwing more frequently than the worst passing teams (the ratio here was 100.8%). [click to continue…]

Sometimes, it’s hard to believe that it’s 2014. With draft season now in full gear, I wanted to take a few minutes and look at the stats of the top college quarterbacks from last year. Unfortunately, that’s easier said than done. I couldn’t find a site that presented a full list of all college quarterback stats, including sacks, which is, of course, insane.

College football records sacks as rushing plays for the offense; as a result, knowing how many sacks Johnny Manziel or Teddy Bridgewater took last year is not that easy to find. So here’s what I did:

1) Using team game log data, I found the number of sacks for each defense in each game.

2) Next, I recorded the percentage of team pass attempts recorded by each quarterback for his offense in each game (usually close to 100%).

3) I synched up these two sets of data, and multiplied each quarterback’s percentage of team pass attempts by the number of sacks by his opponent’s defense in that game.

That provided me with some useful estimated sack data. From there, I calculated each quarterback’s Adjusted Net Yards per Attempt average, which is simply (Gross_passing_yards + 20*PassTDs – 45*INTs – Estimated_sack_yards_lost) / (Pass_attempts + Estimated_sacks). I did this for the 140 quarterbacks with the most pass attempts in the FBS (sorry, Jimmy Garoppolo fans) in 2013.

Since the number of pass attempts vary wildly at the college level, I also calculated a Value Over Average statistic. The 140 quarterbacks had an average ANY/A of 6.44, so the Value metric (which is what the table is sorted by) is simply (ANY/A – 6.44) * (Pass_attempts + Estimated_sacks). Here’s how to read Bridegwater’s line, the Louisville quarterback who many believe will be the first quarterback selected in the draft.

Bridgewater provided the 5th most passing value by this formula, completing 303 of 427 passes for 3,970 yards with 31 touchdowns and 4 interceptions. He took 25.5 sacks and lost 185 yards, and had a sack rate of 6% (if I included the percent sign, the table would not sort correctly). Bridgewater also averaged 13.1 yards per completion and had a 9.34 ANY/A average, which combined with his number of dropbacks, means he added 1,310 adjusted net yards of value over average. By default, the table below only shows the top 25, but you can sort and/or search to find each of the 140 quarterbacks (and you can change the number of quarterbacks displayed via the dropdown box to the left). [click to continue…]

Terry Bradshaw finished his career with 212 touchdowns, 210 interceptions and a 70.9 passer rating. Kurt Warner threw 208 touchdowns against only 128 interceptions, and his 93.7 passer rating ranks 8th in NFL history and 2nd among retired players. But Bradshaw played from 1970 to 1982, while Warner played from 1998 to 2009. As a result, comparing their raw statistics holds very little meaning. Comparing across eras is very challenging, but not impossible. And in this case, once you place the numbers in the proper context, Bradshaw’s numbers were arguably more impressive than Warner’s numbers.

Let’s start with Bradshaw and begin by looking at his Relative ANY/A for each year of his career. For new readers, ANY/A stands for Adjusted Net Yards per Attempt, defined as

Relative ANY/A simply compares a quarterback’s ANY/A average to league average, a necessary element when comparing quarterbacks across eras. In the graph below, the size of the bubble corresponds to how many attempts Bradshaw had in each season, while the Y-Axis shows Bradshaw’s Relative ANY/A (by definition, 0 is equal to league average). The graph shows a clear story: for the first five years of his career, Bradshaw was a below-average quarterback, but over the rest of his career, he was one of the best in football. His best year came in 1978 when Bradshaw finished with a RANY/A of +2.0, which was the third best mark in football (only a hair behind Roger Staubach and Dan Fouts). Those stats, combined with a 14-2 record, led to Bradshaw being named the AP’s MVP that season. [click to continue…]

*interesting*ones.

Among the 35 quarterbacks with the most pass attempts, Glennon finished a very pedestrian 27th in Adjusted Net Yards per Attempt. But he did it in a very unique way: Glennon had an outstanding 19/9 touchdown-to-interception ratio, but he ranked dead last in Net Yards per Attempt. One reason for that is Glennon averaged only 10.6 yards per completion, the 3rd worst average among the 35 passers.

Smith finished 34th in ANY/A, largely due to his horrific 12/21 TD/INT ratio. He was a bit better in NY/A, ranking 28th, but what’s interesting about the Jets quarterback is that he ranked 7th in yards per completion. That metric is not a particularly effective measure of passer quality — after all, Matt Ryan ranked 35th — but it *is* a pretty good way to describe a quarterback’s style. While both Glennon and Smith were below average, they were below average in *very* different ways. [click to continue…]

Of course, Andrew Luck had an incredible game, too, even if it wasn’t necessarily as efficient. Luck went 29/45 for 443 yards and 4 touchdowns to counter his 3 interceptions, rushed for 45 yards, and recovered a Donald Brown fumble and ran it in for the touchdown.

Which made me wonder: where does this game rank among the greatest quarterback battles? To make life simpler, I’m only going to look at passing statistics, although obviously both players added some value on the ground. Smith averaged 9.23 Adjusted Net Yards per Attempt, defined as (Passing Yards + 20*TD – 45*INT – Sack Yards) divided by (Pass Attempts + Sacks). The NFL average in 2013 was 5.87 ANY/A, which means Smith produced 3.36 ANY/A over average. And, since he had 48 pass attempts (including sacks), that means Smith provided 161 yards over average.

Luck’s averages were hurt by the three interceptions, but he still produced 8.23 ANY/A and therefore 2.41 ANY/A over average. That means, over his 46 dropbacks, he produced 111 yards of value over average. So where does that mean this game ranks among all playoff games since 1970? My initial thought was to simply add the two value over average numbers, but that ended up producing a list dominated by great games by one quarterback. To counter this, I decided to only look at games where both quarterbacks were above average and to instead take the Harmonic Mean of their values. This wound up producing a pretty good list, and it places Luck/Smith at #9. [click to continue…]

On Friday, I explained the idea behind Playoff Leverage. That post is required reading before diving in today, but the summary is that the Super Bowl counts for more than the conference championship games, which count for more than the division round games, which count for more than the wild card games. The value that is assigned to each game — the Super Bowl is currently worth 3.14 times as much as the average playoff game — is then used to adjust the stats of the players in those games.

For quarterbacks, the main stat used to measure passing performance is Adjusted Net Yards per Attempt. In case you forgot, ANY/A is defined as

Today, we’re going to look at every quarterback since 1966. Players like Bart Starr and Johnny Unitas who played before 1966 will count, but their stats from 1965 and earlier will not be included. This obviously is a serious disservice to Starr in particular, but for now, I’m going to only focus on the Super Bowl era. [click to continue…]

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