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I’m very short on time, so Bryan Frye agreed to help keep the streak alive here by asking me to reproduce his All-Time 53 Man NFL Roster. What follows is a reproduction of his work here on his all-time 53 man roster. Given that I am short on time, maybe you are long on time (is that how time works?), in which case — get ready for a great read.

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Sometimes when I am bored, I make football lists or rosters in my head (what is the all-time Steelers team, what is the current all-NFC South team, what is the all-time Hispanic team, etc.). Of all the whimsical thought experiments in which I have engaged, the one with the most decisions and revisions has been my all time 53 man NFL roster (with coaching staff).

The purpose of building an all time 53 man NFL roster is not to simply pluck the best 53 players out of history. If I did that, I’d end up with an unbalanced roster, with as many as seven quarterbacks. Having seven Hall of Fame passers would be nice, but it’s completely unnecessary. The important thing to me is depth, which means I value versatility from the players on the roster. Yes, Jan Stenerud was a great kicker, but why put him on the team when I can have Gino Cappelletti kick, return kickoffs and punts, take handoffs, and catch passes? You get the idea. I will make exceptions for most starters, but I want most of my backups to contribute in more than one area.

Having read the comments sections in some popular sports sites, I feel that it is necessary to make the following disclaimer: Players will be picked, in large part, based on how they performed in their respective eras. Danny Fortmann was one of the great interior offensive linemen of his generation, but it would be insane to posit that he could be plucked out of 1941 and be a star guard today at 6’0” and 210 pounds. That’s smaller than RG3. [click to continue…]

{ 58 comments }

Guest Post: Bryan Frye on Adjusted Drive Yards

Friend of the program Bryan Frye is back for another guest post. As regular readers know, Bryan operates his own fantastic site, http://www.thegridfe.com. You can view all of Bryan’s guest posts here, and follow him on twitter @LaverneusDingle.


For some time, I have wanted to create a new metric that used elements from Total Adjusted Yards (TAY) in order to quantify a team’s production on each drive. Past work from both Chase and Brian Burke has given us insight into the value of touchdowns, interceptions, fumbles, and first downs, translated into yards. This work has been fundamental in the development of stats like Adjusted Net Yards per Attempt, Adjusted Rushing YardsAdjusted Catch Yards, and TAY.

Those metrics have given us valuable insight regarding statistical measurement of individual player performance. I’ve also used TAY to measure the output of offenses and defenses.

However, I wanted to attach generic values to every way a drive can end.1 This is not a rigorous study, and it is meant to be a starting point for future research rather than a conclusive formula to govern the way anyone interprets on-field action.

With that in mind, I’ll briefly cover the generic yardage values for various drive outcomes. [click to continue…]

  1. With the exception of kneel down drives to end halves or games, as those don’t demonstrate an offense’s (or defense’s) ability to actually play the game. []
{ 44 comments }

Brad Oremland is a longtime commenter and a fellow football historian. Brad is also a senior NFL writer at Sports Central. He’s also a semi-regular writer here, and you can view all of Brad’s Football Perspective writing at this page. Brad is working on a WR Project where he analyzes the best WRs over various ten year periods. That work is being produced over at Sports-Central, but Brad has offered to have it reproduced here as well. As always, we at the FP community thank him for his work.

Previous Best WRs By Decade Articles:


Last year, I wrote an article breaking down the best quarterbacks by decade, followed by in-depth profiles of the greatest QBs in history. This year, I combined those two themes in a look at the best wide receivers ever, broken into decades. [click to continue…]

{ 33 comments }

Today’s post is a follow-up to my recent article on adjusting quarterback stats for schedule length and passing environment. In the original piece, I provided you with single-season stats with various era adjustments made. While my main goal was to glean as much as I could from your opinions, I noticed that some readers also liked looking at the different results based on which adjustments I made. With that in mind, I figured it only made sense to submit the career list as well.

When measuring single seasons, I think value over average is the way to go. However, I believe a lower baseline is in order when looking at entire careers. It seems to me that average play is an overlooked aspect of quarterback evaluation, and guys like Brett Favre or John Elway are significantly underrated by statistical models that compare to league average instead of replacement level. I would say that using a higher threshold shows us who was the most dominant, while using a lower threshold shows us who contributed the most value over an extended period. [click to continue…]

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Over at TheGridFe, I just finished the single season portion of my series on the (statistically) greatest regular season quarterback performances in NFL history. I’ve discussed the stats, as they are, which always seem to paint modern quarterbacks in a much better light. I’ve prorated for season length, which can sometimes produce a few curious results. I’ve also applied both hard and soft inflation adjustments to account for the evolution of the position and increase in its usage rate.1 After talking with Adam Steele and agreeing that maybe even the most moderate approach still left seasons like Sid Luckman’s 1943 or Dan Fouts’s 1982 getting far more credit than they probably should. So I went ahead and made an even weaker era adjustment, which I will discuss briefly in this post, to try to mitigate the effects of the original modifications.

My main purpose for writing today isn’t to give you another list of great quarterback seasons, although I will do that as well. My goal is to solicit the opinions of the Football Perspective readers, whom I respect for their thoughtful and reasoned nature. I have two primary questions: [click to continue…]

  1. I also presented TAY/P+ scores, but that’s not particularly relevant to this discussion. Check it out anyway, though. []
{ 34 comments }

Guest Post: Bryan Frye on Existential Bridesmaids

Friend of the program Bryan Frye is back for another guest post. As regular readers know, Bryan operates his own fantastic site, http://www.thegridfe.com. You can view all of Bryan’s guest posts here, and follow him on twitter @LaverneusDingle.


As the sickle of death swings ever-closer to your head, and you sit and ponder the meaninglessness of it all, it can be easy to think of all those times you crawled and scratched but still failed to reach the mountaintop. Kurt Vonnegut once mused that many people desperately need to hear the message that they are not alone. I’m here to deliver that message. Here are a bunch of other losers who, like you, gave their all and were found wanting.1

Completed PassesDrew Brees, 2010

In 2010, Drew Brees completed 448 passes, which stands as the fifth highest mark in history. However, Peyton Manning set the all-time record that year, completing 450 passes. Don’t feel bad for Brees. He broke the record the following year and passed Manning’s total again in 2014. [click to continue…]

  1. To be more specific, these are the highest ranking seasons in history, in various categories, that failed to top their own year. []
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Recently, I posted a quick and dirty method to measure quarterback career value above average and above replacement. I used Adjusted Yards per Pass Attempt as the foundational stat because its inputs (yards, touchdowns, interceptions, and attempts) are on record back to 1932.

Today, I wanted to use the same model with Adjusted Net Yards per Dropback (ANY/A) as the base metric. I believe ANY/A is a more accurate reflection of quarterback production, but it does have the downside of only being recorded back to 1969 in Pro Football Reference’s database.

Thus, while the previous post covered every passer in the official stat era, this post will only cover value added since 1969. This means greats like Sammy Baugh and Sid Luckman are completely overlooked, while legends like Johnny Unitas and Joe Namath only have their worst years included (an unfortunate byproduct of this study’s limitations, to be sure).

In case you didn’t want to click back through the previous article to see the details of the formula, I’ll briefly cover the basics here: [click to continue…]

{ 42 comments }

Friend of the program Bryan Frye is back for another guest post. As regular readers know, Bryan operates his own fantastic site, http://www.thegridfe.com. You can view all of Bryan’s guest posts here, and follow him on twitter @LaverneusDingle.


Floating around the internet, there are copious metrics for measuring quarterback performance. Some are very basic (passing yards, completion rate), while others are quite complex (EPA, WPA). Some are open-source (passer rating, ANY/A), while others are proprietary (DVOA, Total QBR). It seems there is a stat to cover just about every aspect of QB play, so the last thing we need is another useless number.

Well, I didn’t get that memo.

Today, I’m going to look at a somewhat abstract measurement for career value, based on adjusted yards per attempt relative to league average. I prefer ANY/A and my own TAY/P (and the different iterations of both metrics), but gaps in the record books mean we can only go so far with either.1 With AY/A, we can go back to 1932, the very first season of the “official stat” era in the NFL.

The methodology is simple and straightforward. I took Pro Football Reference’s AY/A Index Scores for every quarterback with at least 1500 career pass attempts. If you are familiar with PFR’s advanced passing stats, you know they are based on three seasons’ worth of data (years n-1, n, and n+1), and a score of 100 represents league average output.2 To find the AY/A+ score itself, you simply multiply a player’s z-score by fifteen and add the product to 100. Using this knowledge, I reverse engineered the passing Index Scores in order to find the number of standard deviations above or below average each quarterback’s AY/A was. I then multiply that number by pass attempts to come up with an abstract career value metric. I also did this for replacement level, using one standard deviation below average as the baseline for replacement play.

The formulas:

Value over average = [(AY/A Index Score – 100)/15]*Attempts

Value over replacement = [(AY/A Index Score – 85)/15]*Attempts

Like I said, this isn’t forking any lightning in the realm of quarterback analysis. It’s just a quick and dirty way to approximate career productivity based on a well-known metric.

The Results

The table below shows the abstract career value of the 182 quarterbacks who met the 1000 attempt threshold. Read it thus: Peyton Manning played 266 career games and had 9380 pass attempts. His career AY/A+ score was 116. This gives him a total value of 10005 above average and 19385 above replacement (this is the metric by which the table is sorted). Note that the table below does list all 182 quarterbacks, but for ease of scrolling, only the top 25 are displayed by default. You can change that using the dropdown arrow on the left, or you can search for your favorite passer.

RkQuarterbackGAttAY/A+ValRepl
1Peyton Manning26693801161000519385
2Tom Brady2257792115779215584
3Dan Marino2428358112668615044
4Drew Brees2178085112646814553
5Brett Favre30210169106406814237
6Joe Montana1925391118646911860
7Steve Young1694149125691511064
8Fran Tarkenton2466467110431110778
9Aaron Rodgers1264047124647510522
10Ben Roethlisberger1715423114506110484
11Dan Fouts1815604113485710461
12John Elway2347250106290010150
13Warren Moon2086823107318410007
14Philip Rivers164533911346279966
15Johnny Unitas211518611138038989
16Tony Romo155433111646208951
17Kurt Warner124407011643418411
18Ken Anderson192447511338788353
19Jim Kelly160477911031867965
20Donovan McNabb167537410725087882
21Len Dawson211374111639907731
22Otto Graham126262612950777703
23Boomer Esiason187520510724297634
24Sonny Jurgensen218426211131257387
25Roger Staubach131295812243387296
26Carson Palmer160544310518147257
27Dave Krieg213531110517707081
28Y.A. Tittle204439510926377032
29Phil Simms164464710721696816
30Mark Brunell193464010721656805
31Trent Green120374011229926732
32Sammy Baugh165299511835946589
33Roman Gabriel183449810617996297
34Eli Manning185622710006227
35Rich Gannon157420610719636169
36Steve McNair161454410515156059
37Craig Morton207378610922726058
38Randall Cunningham161428910617166005
39Troy Aikman165471510412575972
40Bob Griese161342911125155944
41John Hadl224468710412505937
42Jim Everett15849231039855908
43Jeff Garcia125367610922065882
44Drew Bledsoe194671798-8965821
45Vinny Testaverde233670198-8935808
46Matt Ryan126453010412085738
47Terry Bradshaw168390110718205721
48Bart Starr196314911225195668
49Norm Van Brocklin140289511427025597
50Jim Hart20150761013385414
51Daunte Culpepper105319911021335332
52Matt Hasselbeck209533010005330
53Neil Lomax108315311021025255
54Joe Theismann167360210614415043
55Jeff George131396710410585025
56Ron Jaworski18841171038234940
57Chris Chandler18040051038014806
58Ken O'Brien129360210512014803
59Matt Schaub141327110715264797
60John Brodie20144911012994790
61Joe Namath140376210410034765
62Bobby Layne17537001049874687
63Steve Beuerlein147332810613314659
64Jay Cutler13443541012904644
65Brad Johnson17743261012884614
66Steve Bartkowski129345610511524608
67Steve Grogan14935931049584551
68Neil O'Donnell125322910612924521
69Bernie Kosar126336510511224487
70Brian Sipe12534391049174356
71Steve DeBerg206502498-6704354
72Daryle Lamonica151260111017344335
73Danny White166295010713774327
74Earl Morrall255268910916134302
75Ken Stabler18437931025064299
76Bert Jones102255111017014252
77Marc Bulger96317110510574228
78Kerry Collins198626195-20874174
79Russell Wilson64173512124294164
80Sid Luckman128174412023254069
81Billy Kilmer17029841059953979
82Chad Pennington89247110914833954
83Jim Harbaugh177391810003918
84Charley Johnson16533921024523844
85Charlie Conerly16128331059443777
86Jim Plunkett157370110003701
87Michael Vick14332171024293646
88Joe Ferguson186451997-9043615
89Cam Newton78241910711293548
90Joe Flacco122407098-5433527
91Mark Rypien10426131058713484
92Norm Snead178435397-8713482
93George Blanda340400798-5343473
94Jeff Blake11932411012163457
95Matthew Stafford93369199-2463445
96Don Meredith104230810710773385
97Jay Schroeder11828081035623370
98Aaron Brooks9329631023953358
99Lynn Dickey15231251012083333
100Jake Delhomme10329321023913323
101Jeff Hostetler15223381069353273
102Frank Ryan126213310811383271
103Bill Kenney10624301058103240
104Greg Landry14623001069203220
105Tommy Kramer129365198-4873164
106Archie Manning151364298-4863156
107Alex Smith126361998-4833136
108Jim McMahon11925731035153088
109Brian Griese9327961011862982
110Jim Zorn140314999-2102939
111Bobby Hebert118312199-2082913
112Jake Plummer143435095-14502900
113Gus Frerotte147310699-2072899
114David Garrard8622811046082889
115Babe Parilli189333098-4442886
116Jack Kemp122307399-2052868
117Billy Wade12825231023362859
118Gary Danielson10119321067732705
119Doug Williams8825071011672674
120Bill Nelsen9019051067622667
121Jon Kitna141444294-17772665
122Andy Dalton7724971011662663
123Elvis Grbac10524451011632608
124Stan Humphries88251610002516
125Chris Miller98289298-3862506
126Wade Wilson125242810002428
127Milt Plum129241910002419
128Tom Flores10617151066862401
129Tobin Rote149290797-5812326
130Doug Flutie9221511011432294
131Bob Waterfield9116171066472264
132Frankie Albert9015641066262190
133Scott Mitchell99234699-1562190
134Erik Kramer83229999-1532146
135Ed Brown15419871011322119
136Bill Munson10719821011322114
137Tony Eason9015641055212085
138Jason Campbell90251897-5042014
139Kyle Orton87271296-7231989
140Richard Todd119296795-9891978
141Andrew Luck55210699-1401966
142Rodney Peete104234697-4691877
143Eddie LeBaron134179610001796
144Tony Banks96235696-6281728
145Ryan Tannehill64224896-5991649
146Cotton Davidson111175299-1171635
147Ryan Fitzpatrick113347392-18521621
148Charlie Batch81160410001604
149Jay Fiedler76171799-1141603
150Mike Livingston91175197-3501401
151Bubby Brister99221294-8851327
152Byron Leftwich60160597-3211284
153Don Majkowski90190595-6351270
154Steve Bono88170196-4541247
155Mike Tomczak185233793-10911246
156Matt Cassel100257492-13731201
157Marc Wilson126208193-9711110
158Sam Bradford63229292-12221070
159Josh McCown77195693-9131043
160Eric Hipple102154695-5151031
161Dan Pastorini140305590-20371018
162Vince Ferragamo75161594-646969
163Josh Freeman62204892-1092956
164Kordell Stewart125235891-1415943
165Trent Dilfer130317289-2326846
166Tim Couch62171492-914800
167David Carr94226790-1511756
168Mark Sanchez75226789-1662605
169Derek Anderson68154390-1029514
170Billy Joe Tolliver79170789-1252455
171Rex Grossman54156289-1145417
172Chad Henne64195488-1563391
173Frank Tripucka75174588-1396349
174Dave Brown73163488-1307327
175Mike Pagel132150986-1408101
176Kyle Boller67151983-1722-203
177Jack Trudeau67164483-1863-219
178Mike Phipps119179983-2039-240
179Mark Malone73164882-1978-330
180Joey Harrington81253882-3046-508
181Rick Mirer80204381-2588-545

I normally like to point out a few curiosities I notice in the data, but I’d rather just present the numbers and leave the comments to the readers. What sticks out to you? Oh, and one note: back in 2006, Chase did some back-of-the-envelope calculations that had Rick Mirer as the worst quarterback of all time. 10 years later, not much has changed.

  1. Pro-Football-Reference doesn’t have ANY/A prior to 1969. I don’t have TAY/P prior to 1991; even without including first down data, I can only go back to 1963 before I run out of complete sack data. []
  2. Except in 1932, when there is no year n-1, and the current year, when there is no n+1. []
{ 9 comments }

Friend of the program Bryan Frye is back for another guest post. As regular readers know, Bryan operates his own fantastic site, http://www.thegridfe.com. You can view all of Bryan’s guest posts here, and follow him on twitter @LaverneusDingle.


Despite a fourth trip to the Super Bowl, 2015 has been the worst year of Peyton Manning’s storied career. Statistically speaking, he has never been worse, even as a 22 year old rookie starting all sixteen games for a 3-13 team.1 Relative to league average, Manning produced the worst completion rate, yards per attempt, touchdown rate, interception rate, passer rating, and adjusted net yards per attempt of his career.2 Manning ranked last among the 36 qualifying passers in Adjusted Net Yards per Attempt. And his normally stellar sack rate also took a hit, with the second worst output of his career (behind only 2001).3

If we look to advanced metrics to try to uncover some hidden gem about his performance that may be overlooked by standard box score stats, we don’t have much luck. ESPN’s QBR (which only goes back to 2006, mind you) takes into account far more than any other popular metric, and it normally adores Manning. From 2006-2014 (excluding 2011, obviously), Manning ranked 1st, 3rd, 1st, 1st, 1st, 1st, 2nd, and 3rd in Total QBR.4 This year, he ranked 30th with a subpar 45.0 rating.

Football Outsiders’ DVOA and DYAR don’t do Manning any favors either. Not only was 2015 by far the worst season of his career by both metrics, it was also the only below average season of his career. From 1998-2014, his average season was 32.47% better than average by passing DVOA. His worst season by the metric was a 7.70% effort as a doe-eyed rookie. Over that same period, he averaged 1,664 passing DYAR per season, and his average season was worth 2.89 DYAR per pass.5 This year, Manning was 26.00% below average, as measured by DVOA, and he lost 328 DYAR from his career total. His -0.95 DYAR per play was easily worse than his previous low of 1.18 in his inaugural season.

If the stats aren’t enough, the infamous “eye test” also backs up the belief that this was Manning’s worst-ever season. He struggled to jive with Gary Kubiak’s offense, especially when asked to run bootlegs and throw on the run. His limited power to make pre-snap adjustments, in concert with his decreased mobility, resulted in him taking more abuse in the pocket than he ever had before.6 He threw errant passes and made uncharacteristically poor decisions, causing him to lead the league in interceptions until week 17, despite missing six games. He struggled with nagging injuries, had the worst game of his entire career, and was benched for an inexperienced and marginally talented fourth-year backup. [click to continue…]

  1. A team that also went 3-13 the prior year and earned the right to draft him first overall. []
  2. Using Pro Football Reference’s Advanced Passing Index Scores as my measurement of choice. []
  3. Of course, being Peyton Manning, he was still better than average; his Sack%+ score was 110 in the regular season. []
  4. Among all quarterbacks with at least 224 action plays. His second place rank in 2013 becomes a first place rank if you finagle the threshold to exclude Josh McCown’s 269 play, 85.2 QBR bout. []
  5. Using the average of his averages rather than a weighted average of all DYAR on all pass plays. The point here is to show his average season, not his average performance over the course of his career. []
  6. I covered this in more detail after his poor week 2 performance. You don’t have to call me a prophet, but I won’t stop you. []
{ 35 comments }

Courtesy of Bryan Frye, let’s look at some graphs of the four quarterbacks in the conference championship games. The stat we will be using today is Total Adjusted Yards per Play, which is like ANY/A on steroids.

First, let’s start with Cam Newton. His Total Adjusted Yards per Play is in blue; the average TAY/P allowed by his opponent each week is in black. As you can see, in 6 of 17 games, he was below-expectation, but he’s been above-expectation in five of his last six games. (Note that for each quarterback, the bye week is included, and the division round matchup is plotted below as Week 18.) [click to continue…]

{ 4 comments }

Friend of the program Bryan Frye is back for another guest post. As regular readers know, Bryan operates his own fantastic site, http://www.thegridfe.com. You can view all of Bryan’s guest posts here, and follow him on twitter @LaverneusDingle.


The 2015 regular season is in the books, and all the relevant stats are at our disposal to poke and prod as our hearts desire. Chase already discussed the fact that, statistically, this has been the best passing season in NFL history. League and team passing records fell on a seemingly regular basis, and a few receiving records were in serious jeopardy by season’s end.1 [click to continue…]

  1. We probably all know by now that Julio Jones and Antonio Brown became just the third and fourth receivers ever to break the 1,800 yards mark in a single season. It’s also pretty common knowledge that the two dynamic receivers also tied for the second most receptions in a single season. However, what you won’t hear in the mainstream is that Jones happened to break one of the more significant single season records when he hauled in his 93rd receiving first down in week 17. []
{ 18 comments }

Friend of the program Bryan Frye is back for another guest post. As regular readers know, Bryan operates his own fantastic site, http://www.thegridfe.com. You can view all of Bryan’s guest posts here, and follow him on twitter @LaverneusDingle.


Five weeks of regular season football have come and gone. Those five weeks have seen quarterbacks attempt 5,470 passes and take 5,817 dropbacks. Throw in rushes, and quarterbacks have been involved in 6,184 action plays thus far.1 That seems like a large number, but it is only a fraction of the average 20,764 action plays quarterbacks have been involved in over the last two seasons.2 There are still 358 games left in the regular season (69.9% of the schedule), and we cannot know with epistemic certainty what is going to happen between now and January 3.

However, it is still fun to take the plays we have seen (and the stats those plays have produced) and use them to assess the quarterback landscape of this young season. The following tables present raw, rate, and adjusted stats for the 35 quarterbacks who have attempted at least 70 passes this season.3 I’ll provide some brief commentary, but I’d like to let Chase’s educated audience come up with their own points. Without further ado, here are the raw stats… [click to continue…]

  1. Keep in mind this was written before the Thursday night game featuring Matt Ryan and Drew Brees. []
  2. Quarterbacks are currently on pace for just over 21,000 plays, which would be the highest total in history by a small margin. []
  3. The NFL official requirement for rate stat qualification. []
{ 9 comments }

Bryan Frye, owner and operator of the great site http://www.thegridfe.com, is back for another guest post. You can also view all of Bryan’s guest posts at Football Perspective at this link, and follow him on twitter @LaverneusDingle.


On Monday, I looked at which quarterbacks since 1960 helped or hurt their teams the most by taking or avoiding sacks. On Tuesday, I looked at the quarterbacks who gained the most or fewest yards through the air per attempt or dropback, and on Wednesday, we looked at completions relative to league average. Yesterday, the metric of the day was touchdown pass rate.

As promised, this article, “Dr. Safelove or: How I Learned to Start Worrying and Fear the Bomb,” centers on interceptions. The methodology here is no different from before: Figure out each player’s rate stats relative to the average of the rest of the league minus that player (LMP) that year and multiply it by his attempts to find the marginal total.

The caveat for this article is a big one: it is mathematically impossible for modern players to rank highly on a per play basis. In 1945, Sammy Baugh threw interceptions at a rate 7.4% lower than his peers. Because the league average today is so low (about 2.5%), a current quarterback would have to throw negative interceptions to match a -7.4% relative pick rate. Even if a quarterback threw 700 passes without an interception, the best he could possibly do is about -2.5%. [click to continue…]

{ 26 comments }

Bryan Frye, owner and operator of the great site http://www.thegridfe.com, is back for another guest post. You can also view all of Bryan’s guest posts at Football Perspective at this link, and follow him on twitter @LaverneusDingle.


On Monday, I looked at which quarterbacks since 1960 helped or hurt their teams the most by taking or avoiding sacks. On Tuesday, I looked at the quarterbacks who gained the most or fewest yards through the air per attempt or dropback. And yesterday, we looked at completions relative to league average.

Today’s article, “Mile High Club or: Scoring through the Air,” is an examination of how often quarterbacks threw touchdowns.1

I have used the same methodology as before (similar to Chase’s model for Relative Adjusted Net Yards), and I have maintained the same minimum attempt cutoffs. That means we’ll only look at seasons with 224 or more attempts and careers with 1,000 or more attempts. Like before, I didn’t prorate for shorter seasons.2 [click to continue…]

  1. Note that I didn’t say “how well quarterbacks threw touchdowns.” A screen with 80 YAC, a bomb to a wide open speedster, and a missile into tight coverage all count for six on the stat sheets. []
  2. Feel free to copy the table and make your own spreadsheet if you’d like. Or don’t. I’m not going to tell you how to live your life. []
{ 14 comments }

Bryan Frye, owner and operator of the great site http://www.thegridfe.com, is back for another guest post. You can also view all of Bryan’s guest posts at Football Perspective at this link, and follow him on twitter @LaverneusDingle.


On Monday, I looked at which quarterbacks since 1960 helped or hurt their teams the most by taking or avoiding sacks. Yesterday, I looked at the quarterbacks who gained the most or fewest yards through the air per attempt or dropback. As you may have guessed, I’m keeping the theme going today. This article, “Sharpshooters or: Quarterbacks who were Good at Completing Passes,” is an examination of how passers stacked up statistically against their peers in the not-super-important category of completion rate. [click to continue…]

{ 20 comments }

Bryan Frye, owner and operator of the great site http://www.thegridfe.com, is back for another guest post. You can also view all of Bryan’s guest posts at Football Perspective at this link, and follow him on twitter @LaverneusDingle.


Yesterday, I looked at which quarterbacks since 1960 helped or hurt their teams the most by taking or avoiding sacks. In this post, “Frequent Flyers or: Quarterbacks who Gained Yards through the Air,” I’ll do something similar but with passing yards instead of sacks.

Because we have the necessary passing stats dating back to 1932, I can take this study back nearly three decades further than the previous one. However, I will use Chase’s estimated sack statistics to examine net yards for all post-1960 quarterbacks.

The math is simple: for each player, subtract his individual raw totals from those of every other quarterback in the league to find the league minus player (LMP) Y/A or NY/A. Next, subtract the LMP rates from the individual player rates to find each player’s marginal rate stats. Last, multiply each quarterback’s marginal Y/A by his attempts (or marginal NY/A by his dropbacks) to find marginal yards (or marginal net yards).1

Enough explanation – Let’s look at some stats. The first table displays the 1,563 qualifying QB seasons, sorted by marginal yards. Read it thus: In 2001, Kurt Warner threw 546 passes for 4,830 yards, giving him 8.85 Y/A. The average of the rest of the league was 6.69, so Warner had a marginal Y/A of 2.15. This means his 2001 season is worth 1,176 yards above expectation. [click to continue…]

  1. It took as much time to explain as it did to set up in Excel. []
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Bryan Frye, owner and operator of the great site http://www.thegridfe.com, is back for another guest post. You can also view all of Bryan’s guest posts at Football Perspective at this link, and follow him on twitter @LaverneusDingle.


Last Wednesday, Chase unveiled his estimated sack numbers for 1960-1968.1 I already had this post planned, but I wanted to wait for the estimated stats before running the numbers, as doing so would allow me to go back to 1960 instead of 1969.

This article, “Upright Citizens (Quarterbacks who Avoided Sacks)” is a brief examination of those quarterbacks who saved their teams valuable field position by avoiding sacks. By extension, it is also an examination of those quarterbacks who did the opposite. When Chase presented his 1960-1968 data, he included everyone who threw a pass during that timeframe. Because I am only concerned with quarterbacks, I have removed all non-quarterback plays and recalculated the metrics. [click to continue…]

  1. I can neither confirm nor deny that he did this, at least in part, to give Joe Namath some love. []
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Bryan Frye, owner and operator of the great site nflsgreatest.co.nf, is back for another guest post. You can also view all of Bryan’s guest posts at Football Perspective at this link, and follow him on twitter @LaverneusDingle.


Last week, I posted a quarterback performance metric that accounts for both passing and rushing. The base stat, Total Adjusted Yards per Play, is easy to comprehend and easy to figure out yourself with basic box score data. My original post only included performance that occurred during or after the 2002 season, because I don’t have spike and kneel data going back further than that. For the sake of consistency, I wanted to maintain the same parameters when calculating career values.

Before we get into the tables, I’d like to first briefly talk about what these numbers are and what they are not.

The formula, in case you forgot: [click to continue…]

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Bryan Frye, owner and operator of the great site www.thegridfe.com/, is back for another guest post. You can also view all of Bryan’s guest posts at Football Perspective at this link, and follow him on twitter @LaverneusDingle.



I spent a few weeks this offseason parsing out quarterback spike and kneel numbers from post-2002 play by play data. Chase published the findings, which I believe are a useful resource when trying to assess a QB’s stats.1 Since I have the data available, I thought it would be good to use it.

Regular readers know Chase uses Adjusted Net Yards per pass Attempt as the primary stat for measuring quarterback performance.2 I am going to do something similar, but I am going to incorporate rushing contribution as well. This is something Chase talked about doing awhile ago, but we didn’t have the kneel or spike data available.3 I’ll call the end product Total Adjusted Yards per Play (TAY/P). The formula, for those curious:4

[Yards + Touchdowns*20 – Interceptions*45 – Fumbles*25 + First Downs*9] / Plays, where

Yards = pass yards + rush yards – sack yards + yards lost on kneels
Touchdowns = pass touchdowns + rush touchdowns
First Downs = (pass first downs + rush first downs) – touchdowns
Plays = pass attempts + sacks + rush attempts – spikes – kneels [click to continue…]

  1. For instance, 180 of Peyton Manning’s 303 rush attempts since 2002 have been kneels. He has lost 185 yard on those plays. Why in the world should we include those in his total output? Similarly, Ben Roethlisberger has spiked the ball 44 times, by far the most in the league since 2002. Why count those 44 “incomplete passes” in his completion rate? []
  2. It’s not perfect, but it’s at least easy to understand and calculate, and is not proprietary like DVOA, ESPN’s QBR, or PFF’s quarterback grades. []
  3. For another thing Chase wrote on combining rushing and passing data — while (gasp) analyzing Tim Tebow — click here. []
  4. I use 25 as the modifier for fumbles based on the idea that a QB fumble is worth roughly -50 yards, and fumble recovery is a 50/50 proposition. []
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Today is a good day. Data collecting is difficult, but Bryan Frye has made life easier for all of us. Bryan, as you may recall, owns and operates his own great site at nflsgreatest.co.nf, where he focuses on NFL stats and history — and you should really check out his work. You can also view all of Bryan’s guest posts at Football Perspective at this link. You can follow him on twitter @LaverneusDingle. [click to continue…]

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Guest Post: An Argument For HOF Expansion

Bryan Frye is back with another fun guest post. Bryan, as you may recall, owns and operates his own great site at nflsgreatest.co.nf, where he focuses on NFL stats and history. You can view all of Bryan’s guest posts at Football Perspective at this link. You can follow him on twitter @LaverneusDingle.


What makes a Hall of Fame player in your opinion? Is it being in some arbitrary percentile grouping at his position? Perhaps it is a combination of stats and memorable moments. How about playoff performance? Maybe you give extra credit for champions. I certainly don’t know, and my personal Hall likely wouldn’t resemble yours. Any of those criteria you prefer, however, calls for an attendant expansion of the Hall of Fame.1

Arbitrary Percentile

One criterion people use to determine if a player belongs in the Hall of Fame discussion is his place relative to his contemporaries. If a quarterback or halfback is at or near the top of the league for a good portion of his career, he is almost guaranteed a bust in Canton.2 I’ve heard some analysts argue that the Hall should be reserved for the top 3-5% of players. If the top 3-5% (or any arbitrary percentage you choose) is your cutoff, then it follows that induction class sizes should increase to accommodate the increase in players. The 90th percentile of twelve starting quarterbacks includes one quarterback, whereas the 90th percentile of 32 starting quarterbacks includes three quarterbacks. Since the league has nearly thrice the teams it had fifty years ago, it makes sense to have a concomitant increase in class sizes. [click to continue…]

  1. Thanks to Adam Harstad, who was a great sounding board for my ideas and who probably helped keep this from being twice as long. []
  2. The same can’t be said for some positions. I don’t hear many people talking about the legacies of Kevin Williams, Nick Mangold, or Lance Briggs. []
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Guest Post: Remembering Charles Follis

Bryan Frye is back with another fun guest post. Bryan, as you may recall, owns and operates his own great site at nflsgreatest.co.nf, where he focuses on NFL stats and history. You can view all of Bryan’s guest posts at Football Perspective at this link. You can follow him on twitter @LaverneusDingle.


Follis at Wooster High School

Follis at Wooster High School

Fans familiar with the history of the NFL know that Fritz Pollard and Bobby Marshall were the first black NFL players, playing in the league’s inaugural season of 1920.1 However, often lost in history is the story of the first recorded black professional football player: Charles Follis.

Follis’ name rarely comes up because he played well before the inception of the NFL, before Americans had even heard of Jim Thorpe. When Follis first played professionally, Pollard was only ten years old, and Marshall was just a freshman at Minnesota. The year was 1904 – when Teddy Roosevelt was more interested in negotiating treaties between Japan and Russia than he was in saving football – and the twenty-five year old “Black Cyclone” inked a meager deal with the Shelby Blues of the Ohio League. However, Follis was more than a footnote in football history, and his story merits another telling.

Follis was born in Virginia in 1879, the oldest of seven children. His father was a farm laborer, which effectively meant Charles was, too. He worked long hours with his father, developing great strength at a young age.2 It is unclear when the family left Virginia for Wooster, Ohio, but interviews suggest that it was when Follis was still a small child.3

As a junior in high school in 1899, he not only led the effort to establish Wooster High School’s first football team, but he was also subsequently elected team captain by his white teammates. He was the team’s star player as they went undefeated, not allowing a point all season. So great was his impact on Wooster High School that the school’s football stadium was named Follis Field in 1998. His prowess in both football and his best sport, baseball, were so easily recognizable that he was eagerly recruited by the local college. [click to continue…]

  1. For its first two seasons, the NFL was known as the American Professional Football Association, or APFA. It didn’t become the National Football League until 1922. []
  2. This reminds me of the well-known story of Jerry Rice working countless hours with his bricklaying father, catching brick after brick after brick that his father tossed to him. []
  3. From Milt Roberts’ 1975 interview with Follis’ sister-in-law, Florence Follis. []
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Guest Post: Is Reggie Wayne a Hall of Famer?

Bryan Frye is back with another fun guest post.  Bryan, as you may recall, owns and operates his own great site at nflsgreatest.co.nf, where he focuses on NFL stats and history.  You can view all of Bryan’s guest posts at Football Perspective at this link.


A future HOFer?

A future HOFer?

Reggie Wayne has been in the news recently because Chuck Pagano called a pair of late-game pass plays in order to stretch Wayne’s streak of consecutive games with at least three receptions to 81 games.1 Frankly, I don’t care to criticize either of them for that. What I do want to do is acknowledge an impressive record from a great player and discuss whether or not he is likely to join fellow greats in the Pro Football Hall of Fame.2

Hall of Fame voters don’t seem to care too much about advanced stats, so I won’t bother covering anything beyond simple box score numbers.3 What voters do seem to care about are counting stats and a good story, or a combination thereof. Without any more ado, let’s get into the stats and the narrative.

The Stats

Currently ranks 7th all-time in receptions, 8th all-time in receiving yards, and 22nd all-time in receiving touchdowns. I am making the assumption that he will play a few more years at a diminishing level until he retires. That will leave us with a few questions about his statistical merits.

[click to continue…]

  1. That number has since grown to 82. []
  2. And yes, it is a very impressive streak, regardless of how it was achieved. According to Pro Football Reference, the second longest such streak is Cris Carter’s 58 from 1993-1997. []
  3. However, if you do want a more in depth look at receiving stats, check out Chase’s series on the greatest wide receivers of all time. []
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Guest Post: Bryan Frye and Win Contribution Rating

Bryan Frye is back with another fun guest post.  Bryan, as you may recall, owns and operates his own great site at nflsgreatest.co.nf, where he focuses on NFL stats and history.  You can view all of Bryan’s guest posts at Football Perspective at this link.

Oh, and Happy Thanksgiving to all the loyal Football Perspective readers!


Win Contribution Rating

It’s Thanksgiving. I don’t have a ton of time to write; you don’t have a ton of time to read. Let’s make this snappy.

A few months ago, I began using a rating that I feel better describes a quarterback’s contributions to helping his team win. I am terrible at coming up with names for stuff like that, but Football Guy Adam Harstad swooped in like a guardian angel and suggested the name “Win Contribution Rating.” I liked it, and I began using it without delay.

I used three metrics that correlate highly with future wins: Brian Burke’s EPA/P, Football Outsiders’ DVOA, and my Adjusted Yards per Play (AYP).1  The correlation coefficients with future wins (i.e., Year N+1 wins) for the individual metrics are .273 for EPA/P, .265 for DVOA, and .256 for AYP.2 When I ran those in a multiple regression, I got the following best fit equation (rounded):

Win% = .5 + EPA/P *.39 + DVOA * .13 + AYP * .008

Because the basis of this regression is win percentage, the equation spits out small decimals that I find aren’t relatable to most of the casual fans I know. To transform this into a number that resembles the NFL passer rating that people already know, I simply multiply by 140 to find the Win Contribution Rating.3

The highest score since 1999 belongs to Peyton Manning in his virtuoso 2004 performance. Let’s take a look at his rating:

EPA/P: .38
DVOA: 58.9%
AYP: 9.1
WCR = (.5 + .38 * .39 + .589 * .13 + 9.1 * .008) * 140 = 111.7 [click to continue…]

  1. Please note that the difference between the 45 yard penalty Chase uses and the 50 yard penalty I use for interceptions is based on this article by Brian Burke. I chose 50 as a compromise between the traditional and the new research. For fumbles, I used the standard 50 yard penalty and divided it in half to account for the randomness of recovery. []
  2. This includes all quarterbacks for which data is available from both FO and AFA, from 1999-2012. I did not include 2013 because I didn’t know year N + 1 wins; I’m not in the fortune telling business. []
  3. This may seem strange, but keep in mind that the NFL multiples by 16.67 to achieve its final passer rating. []
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Just above these words, it says “posted by Chase.” And it was literally posted by Chase, but the words below the line belong to Bryan Frye, a longtime reader and commenter who has agreed to write this guest post for us. And I thank him for it. Bryan lives in Yorktown, Virginia, and operates his own great site at nflsgreatest.co.nf, where he focuses on NFL stats and history.



With six weeks behind us, we should be at the point where we can figure out who teams are.1 However, this season seems to be a parity lover’s dream. Although many teams near the poles are who we thought they were, others (such as New Orleans and Dallas and perhaps San Diego) are far from their preseason projections. The middle ranks are a jumble of average and indiscernible teams, and no team was even able to make it to 4-0.2 With half of the NFL’s teams lingering around 1-2 losses, how can we tell the petty tyrants from those with legitimate claims to the throne? I recently began working on a model to do just that.

[click to continue…]

  1. For a counter view, see this post by Chase. []
  2. Think that’s crazy? In 1961, the Cowboys, Lions, and Eagles were the last undefeated teams in the NFL, at 2-0. []
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Guest Post: Introducing Equivalency Rating

Just above these words, it says “posted by Chase.” And it was literally posted by Chase, but the words below the line belong to Bryan Frye, a longtime reader and commenter who has agreed to write this guest post for us. And I thank him for it. Bryan lives in Yorktown, Virginia, and operates his own great site at nflsgreatest.co.nf, where he focuses on NFL stats and history.



In August, I introduced a concept on my site to better adjust the NFL’s passer rating for the league passing environment. I love Pro Football Reference’s use of the Advanced Passing Index for passer rating (Rate+), but it still bothered me that the internal math of the NFL’s formula remained the same.

The NFL’s official passer rating formula is based on four variables: completion percentage, yards per attempt, touchdown percentage, and interception rate. Each of those variables are then used to determine four different variables, as seen below:

A = (Cmp% – .3) * 5
B = (Y/A – 3) * .25
C = TD% * 20
D = 2.375 – Int% * 25

Passer rating is then calculated as follows, provided that each variable is capped at 2.375 and has a floor of zero:

(A + B + C + D)/(0.06)

For each component, a score of 1 represents the ideal average passer. Because the formula is based on a league average completion rate of 50%, modern passers significantly exceed that; pre-modern passers rarely reached it. Similarly, the NFL’s model is based on a 5.5% interception rate and a 5% touchdown rate. Thanks to a Greg Cook injury (and Bill Walsh’s genius reaction to it), those numbers have also changed significantly. Last year, the league interception and touchdown rates were 2.8% and 4.4%, respectively. [click to continue…]

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Just above these words, it says “posted by Chase.” And it was literally posted by Chase, but the words below the line belong to Bryan Frye, a longtime reader and commenter who has agreed to write this guest post for us. And I thank him for it. Bryan lives in Yorktown, Virginia, and operates his own great site at nflsgreatest.co.nf, where he focuses on NFL stats and history.


In February, Chase used a regressed version of Football Outsiders’ DVOA metric to derive 2014 expected wins. If you are reading this site, you probably have some familiarity with Football Outsiders and DVOA, FO’s main efficiency statistic. Given the granularity of DVOA, it is no surprise that Year N DVOA correlates more strongly with Year N + 1 wins (correlation coefficient of .39) than Year N wins does (correlation coefficient of .32).

By now, even casual NFL fans probably have at least heard of Pythagorean wins, and regular readers of this site are certainly familiar with the concept. Typically, an analyst uses Pythagorean records to see which teams overachieved and underachieved, which can help us predict next year’s sleepers and paper tigers. Well, I wondered what would happen if we combined the two formulae to make a “DVOA-adjusted Pythagorean Expectation” (or something cooler sounding; you be the judge).

Going back to 1989, the earliest year for DVOA, I used the offensive, defensive, and special teams components of DVOA to adjust the normal input for Pythagorean wins (points). Because DVOA is measured as a percentage, I adjusted the league average points per team game accordingly (I split special teams DVOA between offense and defense). Let’s use Seattle, which led the league in DVOA in 2013, as an example.

In 2013, the league average points per game was 23.4. Last year, Seattle had an offensive DVOA of 9.4% and a defensive DVOA of -25.9% (in Football Outsiders’ world, a negative DVOA is better for defenses).  The Seahawks also had a special teams DVOA of 4.7%.  So to calculate Seattle’s DVOA-adjusted points per game average, we would use the following formula:

23.4 + [23.4 * (9.4% + 4.7%/2)] = 26.15 DVOA-adjusted PPG scored

And to calculate the team’s DVOA-adjusted PPG allowed average, we would perform the following calculation: [click to continue…]

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