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I’ve been on a major QB kick lately, and there’s no reason to stop now. Today, I want to look at a method that might tease out a quarterback’s “true talent” better than if we simply use his raw stats from the season.

Three years ago, our colleague Jason Lisk had a post on the old PFR Blog about which rate stats stay consistent when a QB changes teams. Basically, he grabbed QBs who were still in their primes and changed teams, looking at how their key rate stats correlated from one year to the next. Here’s what Jason found:

[…]I looked at the correlation coefficient for our group of 48 passers, for the year N advanced passing score compared to the year N+1 advanced passing score in each category. This should tell us whether the passers who were good in a performance area (or bad) tended to be the ones who remained good in that performance area the following season, even with the uncertainty of team changes (some positive, some negative for the quarterback).

Sack Percentage:  0.31
Completion Percentage: 0.25
Yards Per Attempt:  0.20
Touchdown Percentage: 0.12
Interception Percentage: 0.10

What do those correlations mean, exactly? Well, take sack percentage as an example. In general, a correlation of 0.31 means you can expect 31% of a QB’s difference from the mean to be repeated next year when he changes teams. In other words, you have to regress the QB’s sack rate 69% towards the mean to get the true rate that “belongs” to him. If the average sack rate is 6.1%, and a QB has a rate of 4.0% (like, say, Drew Brees this year), his “true” sack rate is probably something like 5.4% — 31% of the distance between .061 and .040.

The same concept applies to the other stats listed above. Tony Romo’s observed 66.7% completion percentage is really more like 62.5% after regressing to the mean, and so forth. Do that for every QB who had a reasonable number of attempts this year, and you get these rate stats:

PlayerTmGGSAttA-Sk%A-Cmp%A-YPAA-TD%A-INT%R-Sk%R-Cmp%R-YPAR-TD%R-INT%
Matthew StaffordDET14146294.359.56.82.72.45.560.77.04.02.6
Drew BreesNOR14145744.062.07.66.33.15.461.47.24.52.7
Tony RomoDAL14145685.366.77.53.92.85.962.57.24.22.7
Andrew LuckIND14135646.254.67.13.53.26.159.57.14.12.7
Carson PalmerOAK14145624.460.97.13.92.55.661.17.14.22.6
Tom BradyNWE14145603.963.47.65.41.15.461.77.24.42.5
Matt RyanATL14145394.468.57.85.02.65.663.07.24.32.7
Peyton ManningDEN14145113.967.97.96.12.05.462.87.24.42.6
Brandon WeedenCLE14144985.057.26.62.83.45.760.27.04.02.7
Philip RiversSDG14144888.164.36.74.53.16.762.07.04.22.7
Joe FlaccoBAL14144876.559.17.14.12.16.260.77.14.22.6
Eli ManningNYG14144873.060.47.44.13.15.161.07.14.22.7
Sam BradfordSTL14144826.860.26.83.72.36.360.97.04.22.6
Matt SchaubHOU14134764.064.77.54.62.15.562.07.24.32.6
Aaron RodgersGNB14144748.766.77.66.81.76.962.57.24.52.6
Andy DaltonCIN14144727.562.57.05.53.06.561.57.14.42.7
Josh FreemanTAM14144694.354.87.45.32.65.559.67.14.32.7
Ryan FitzpatrickBUF14134445.961.76.65.03.46.061.37.04.32.7
Christian PonderMIN14144256.663.15.93.32.86.261.66.94.12.7
Ryan TannehillMIA14144245.858.76.92.42.86.060.57.04.02.7
Cam NewtonCAR14144237.258.28.24.32.46.460.47.34.22.6
Mark SanchezNYJ14144187.354.86.43.14.16.559.66.94.12.8
Ben RoethlisbergerPIT11113985.764.17.35.51.56.061.97.14.42.6
Jay CutlerCHI13133778.559.77.04.53.76.860.87.14.22.8
Russell WilsonSEA14143536.962.97.65.92.56.361.67.24.42.7
Robert Griffin IIIWAS13133517.466.48.35.11.16.562.57.34.32.5
Michael VickPHI993167.958.56.93.52.86.660.57.04.12.7
Blaine GabbertJAX10102787.358.36.03.22.26.560.46.94.12.6
Matt CasselKAN982776.458.16.52.24.36.260.47.04.02.8
Jake LockerTEN992695.657.67.03.33.35.960.37.14.12.7
Matt HasselbeckTEN852216.062.46.23.22.36.161.56.94.12.6
Nick FolesPHI652176.559.46.22.31.86.260.76.94.02.6
Alex SmithSFO9921710.070.08.06.02.37.363.47.34.42.6
Chad HenneJAX842168.551.96.73.72.36.858.87.04.22.6
John SkeltonARI762016.954.25.61.04.56.459.46.83.82.8
Kevin KolbARI6518312.959.66.44.41.68.260.86.94.22.6
Brady QuinnKAN861599.159.75.81.33.87.060.86.83.92.8
Colin KaepernickSFO1151548.365.68.44.51.36.862.37.34.32.5
Ryan LindleyARI631416.651.14.30.04.36.358.66.53.72.8

(“A-” before a stat means the actual observed rate; “R-” means the regressed rate.)

Now we just need to reconstruct the player’s raw passing line as though he posted those rate stats instead of his actual rates. Cmp%, YPA, TD%, and INT% are easy (just multiply by attempts), and Sack% can be derived via simple algebra:

Sacks_new = (-reg_sk% * Attempts) / (reg_sk% – 1)

(Sack yards can be assumed by multiplying raw sack yards per sack by the new sack total.)

Finally, we plug the new totals into the Adjusted Net Yards Per Attempt formula, and we have a QB stat that is sort of like baseball’s Fielding Independent Pitching (FIP), which also seeks to reduce the noise and teammate interactions in a pitcher’s ERA by reducing his performance to only those elements he has control over — strikeouts, walks, and home runs.

Here are the 2012 leaders in QB-FIP (along with their regressed totals):

RkPlayerAgeTmGGSCmpAttYdsTDIntSkSkYdsQB-FIP
1Peyton Manning36DEN141432151136972313291916.22
2Tom Brady35NWE141434656040272414322146.20
3Robert Griffin III22WAS13132193512568159241666.15
4Colin Kaepernick25SFO1159615411307411766.11
5Ben Roethlisberger30PIT111124639828361710251416.11
6Matt Ryan27ATL141433953938932314322256.11
7Eli Manning31NYG141429748734762013261656.09
8Drew Brees33NOR141435257441182616332376.08
9Josh Freeman24TAM141427946933502012271816.08
10Aaron Rodgers29GNB141429647434022112351976.06
11Cam Newton23CAR141425642330861811292036.05
12Russell Wilson24SEA14142173532539169241486.05
13Alex Smith28SFO99138217157510617976.04
14Matt Schaub31HOU141329547634072012272286.01
15Tony Romo32DAL141435556840712415352555.97
16Andy Dalton25CIN141429047233362113331765.94
17Joe Flacco27BAL141429548734532013322095.93
18Carson Palmer33OAK141434356239802315332545.92
19Ryan Fitzpatrick30BUF141327244431011912291515.89
20Andrew Luck23IND141333656439902315372305.89
21Matthew Stafford24DET141438262944132517372565.88
22Jake Locker24TEN991622691900117171085.88
23Michael Vick32PHI991913162223138221245.84
24Sam Bradford25STL141429448233802013322165.82
25Brandon Weeden29CLE141430049834772014301985.80
26Ryan Tannehill24MIA141425742429871711272055.78
27Chad Henne27JAX8412721615119616945.78
28Philip Rivers31SDG141430248834222113352215.77
29Matt Cassel30KAN98167277192811818975.75
30Jay Cutler29CHI131322937726611610281875.74
31Christian Ponder24MIN141426242529121711281645.70
32Nick Foles23PHI65132217150096141025.70
33Matt Hasselbeck37TEN85136221152596141055.70
34Mark Sanchez26NYJ141424941829031712291785.68
35Blaine Gabbert23JAX10101682781907117191385.61
36Kevin Kolb28ARI6511118312708516965.61
37Brady Quinn28KAN869715910866412705.50
38John Skelton24ARI7611920113658614895.46
39Ryan Lindley23ARI6383141921549725.15
Lg Average5.92
{ 3 comments }

These guys are pretty good.

These guys are pretty good.

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

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

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

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

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

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

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

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

{ 2 comments }

Here’s a quick set of quarterback ratings I was messing around with, based on Doug’s Simple Rating System. The basic setup: I took every passer-game (Att > 0) since the 2010 season, weighting for recency according to Wayne Winston’s method. I ran the data through the SRS to adjust for the quality of opponent pass defenses, creating a predicted Net YPA rate for each passer in each game via the following formula:

Predicted NYPA = League Constant + Home-Field Advantage + Passer Rating – Opponent Pass D Rating

The league constant in this case was a Net YPA of 6.24; the homefield component (which was positive while at home, negative on the road, and 0 in Super Bowls) was 0.05. Minimize the sum of squared errors between predicted and actual NYPA for each passer-game (weighted by recency and how many dropbacks the passer had in the game), and you’ve got a set of opponent-adjusted, recency-weighted QB ratings.

Throwing out the Brett Favres and Curtis Painters of the world who haven’t been active this year, here are the full ratings:

PlayerWgtd DrpbksNYPA Rating
Mohamed Sanu0.660.94
Brian Hoyer0.29.80
Shaun Hill8.85.13
Derek Anderson2.93.96
Kirk Cousins47.22.37
Chase Daniel1.22.02
Matt Flynn13.21.74
Tom Brady467.01.23
Kyle Orton20.71.16
Russell Wilson266.00.95
Robert Griffin III257.70.92
Peyton Manning382.90.78
Drew Brees472.30.75
Matt Ryan440.80.73
Colin Kaepernick147.40.72
Eli Manning399.10.64
Cam Newton359.50.64
Tony Romo468.30.54
Aaron Rodgers394.90.50
Kellen Clemens9.70.45
Matt Schaub376.30.39
Alex Smith176.10.39
Charlie Batch66.10.37
Josh Freeman395.00.28
Ben Roethlisberger324.60.23
Carson Palmer445.60.15
Matthew Stafford521.20.10
Joe Flacco410.40.00
Rusty Smith3.3-0.03
Tyrod Taylor2.5-0.10
Andrew Luck433.0-0.11
Jake Locker192.4-0.11
Sam Bradford399.1-0.15
Josh McCown4.7-0.17
Matt Moore36.9-0.18
Tarvaris Jackson26.4-0.20
Ryan Tannehill320.8-0.20
Rex Grossman27.3-0.21
Jordan Palmer0.0-0.27
Michael Vick231.4-0.30
Brandon Weeden367.1-0.40
Andy Dalton395.9-0.40
Dennis Dixon0.1-0.41
Ryan Fitzpatrick374.6-0.43
Jay Cutler307.5-0.43
Philip Rivers419.2-0.49
Drew Stanton0.5-0.56
Matt Hasselbeck181.8-0.58
Chad Henne212.4-0.59
Matt Cassel196.9-0.62
Mark Sanchez318.0-0.69
Dan Orlovsky21.3-0.76
Joe Webb5.3-0.77
Tyler Thigpen6.2-0.88
Colt McCoy24.7-0.90
Tim Tebow28.3-0.96
John Skelton172.9-1.04
Bruce Gradkowski1.4-1.09
Nick Foles205.3-1.16
Blaine Gabbert213.0-1.23
Christian Ponder334.1-1.23
T.J. Yates22.1-1.24
Kevin Kolb132.1-1.38
Jason Campbell55.1-1.46
Brady Quinn147.2-1.49
Charlie Whitehurst3.3-1.91
Byron Leftwich45.4-2.13
Trent Edwards0.4-2.13
Luke McCown2.5-2.14
Jimmy Clausen1.3-2.17
Ryan Mallett3.1-2.26
Caleb Hanie7.9-2.30
Ryan Lindley133.6-2.37
Greg McElroy7.0-2.51
Graham Harrell2.0-2.79
David Carr1.2-4.09
Matt Leinart1.6-4.71
Brad Smith0.7-6.04
Terrelle Pryor1.0-7.09

[continue reading…]

{ 1 comment }

You’re probably hearing a lot right now about how Matt Schaub is not a primetime player — literally. Schaub and the Texans struggled in embarassing losses on Sunday Night Football to the Packers earlier in the season and on Monday Night Football two days ago to the Patriots. Schaub posted terrible numbers in a defensively-driven 13-6 win over the Jay Cutler/Jason Campbell Bears.

For his career, Schaub is 2-5 (0.286 winning percentage) in night games and 41-31 (0.569) in day games. Among the 24 quarterbacks studied (more on that below), that drop in winning percentage is the largest such decline. You might think this is due to facing better defenses in night games, but that’s not really the case.

Schaub has averaged 7.8 Adjusted Yards per Attempt during day games and 6.0 AY/A during night games; that difference of 1.8 AY/A is the second largest among the twenty-four quarterbacks.

So yes, there is no debate: Schaub has been noticeably worse during night games in his career.

The table below shows all quarterbacks who have started a game this season and that have started at least five night games in their career. The data consist of all games throughout their career in which they were the starter. To make it a little easier to read, I’ve shaded the day and night categories differently:

QBD_W/LD_WIN%D_Y/AD_AY/AN_W/LN_WIN%N_Y/AN_AY/AY/A_DIFFAY/A_DIFFWin%_Diff
Jason Campbell28-310.4756.936.653-90.255.754.77-1.18-1.88-0.225
Matt Schaub41-310.5697.937.792-50.2866.946-0.99-1.79-0.284
Jay Cutler37-280.5697.36.8413-140.4817.16.08-0.2-0.76-0.088
Joe Flacco46-210.6877.116.912-70.6326.646.19-0.47-0.71-0.055
Ben Roethlisberger67-270.7137.947.7929-140.6747.857.14-0.09-0.65-0.038
Matt Ryan47-190.7127.197.037-50.5836.636.4-0.56-0.63-0.129
Carson Palmer48-580.4537.256.745-100.3336.556.27-0.7-0.47-0.119
Matt Cassel25-290.4636.596.114-50.4446.355.65-0.24-0.46-0.019
Matt Hasselbeck75-720.516.886.4210-60.6256.96.220.02-0.20.115
Aaron Rodgers40-200.6678.218.6814-70.66788.49-0.21-0.190
Alex Smith31-320.4926.616.078-50.6156.325.91-0.29-0.160.123
Sam Bradford13-200.3976.215.791-40.26.335.710.12-0.08-0.197
Michael Vick43-380.536.976.5515-80.6527.066.520.09-0.030.122
Mark Sanchez29-200.5926.645.828-90.4716.425.83-0.220.01-0.121
Tony Romo35-270.5657.77.6720-120.6258.177.740.470.070.06
Eli Manning61-390.617.136.5424-190.5586.966.68-0.170.14-0.052
Matthew Stafford16-210.4326.876.511-50.1677.476.90.60.39-0.266
Peyton Manning120-620.6597.587.3940-180.697.77.790.120.40.03
Tom Brady112-300.7897.397.4938-140.7317.557.90.160.41-0.058
Byron Leftwich21-240.4676.5163-30.56.656.470.140.470.033
Philip Rivers51-350.5937.87.5320-100.6678.18.130.30.60.074
Drew Brees79-620.567.397.1823-110.6767.77.840.310.660.116
Charlie Batch16-270.3726.725.789-30.757.738.221.012.440.378
Chad Henne12-170.4146.35.172-30.48.057.811.752.64-0.014

[continue reading…]

{ 3 comments }

So you're telling me they were 1-15 last year?

An old friend of mine was always mildly irked at the praise thrown at Bill Parcells for turning around moribund franchises. In reality, making a team with a terrible record respectable isn’t all that challenging. Where Parcells added value was in making his good teams great, not in making terrible teams mediocre.

In 1992, one year B.P., the New England Patriots were 2-14, in part thanks to a 1-5 record in one-score games. Throw in some regression to the mean and the first pick in every round of the ’93 draft, and going 5-11 in 1993 wasn’t so much of an accomplishment as it was pre-ordained.

In 1996, one year B.P., the Jets went 1-15. New York was a horrific 0-7 in one-score games. Throw in the #1 pick in every round, and they were an attractive target. Parcells did do a masterful job cleaning up the mess left by Rich Kotite, but getting them to 9-7 looked very impressive in large part thanks to the poor fortunes of the team the prior year.

The Big Tuna again went after the low-hanging fruit again when he took over as the Executive Vice President of Football Operations in Miami (it is here my old friend would get particularly annoyed, noting that Parcells found a way to have his cake and eat it too. If the Dolphins succeeded, Parcells would have “done it again.” Had they failed, well, he wasn’t the coach.) He took over a 1-15 team that was bad but not 1-15 bad; they had faced one of the harder schedules in the league and gone 1-6 in close games. Enter Jake Long, Chad Pennington, and the Wildcat, and the Dolphins went 11-5. Parcells did it again!

In any event, that’s just background. The 2013 Panthers are the real topic today — and they are the lowest hanging fruit any potential coach has seen in decades. Consider:

  • The Panthers are currently 3-9, and little is expected of them going forward. They are now just 9-19 in the Cam Newton era.
  • Despite that, Carolina ranks 4th in Brian Burke’s Advanced NFL Stats efficiency ratings. Now maybe they aren’t the 4th best team in the league, but Brian’s system is purely predictive and minimizes events that shape our views but are unlikely to impact future records. I have no doubt that they’re closer to the 4th best team in the league than the 4th worst, which is where they are by record.
  • Football Outsiders ranks Carolina 18th — which, by the way, still means they’re much better than their record — but even that is misleading. Schatz ranks Carolina 32nd in special teams — a unit that Burke ignores — but instead has them 15th in offensive DVOA and 14th in defensive DVOA. That means excluding special teams the Panthers are above average, and special teams performance is notoriously fickle.
  • So why are the Panthers 3-9? Carolina is currently 0-7 in one-score games.

There’s an even simpler way to show how the Panthers are massively underachieving this year. Net yards per attempt isn’t the only stat in the world, but it’s one of the most important indicators of an offense’s effectiveness. Net yards per attempt is just as important on defense; NY/A differential, the difference between how many net yards you gain per offensive attempt and how many you allow per defensive attempt, is a simple shorthand to highlight the best in the league. Here are the results through 13 weeks (i.e., not counting last night’s game):
[continue reading…]

{ 11 comments }

Things are getting ugly in Pittsburgh. Really ugly.

Ben Roethlisberger started the first nine games of the season, but things are getting ugly quickly in Pittsburgh. After suffering a right shoulder injury and bruising his ribs against the Chiefs, Byron Leftwich started last weekend against the Ravens. Leftwich injured his ribs against Baltimore, leaving Pittsburgh to now turn to Charlie Batch against the Browns tomorrow.

When was the last time a team started three different quarterbacks in consecutive games? Three teams last year pulled off that feat. After Jason Campbell started the first six games of the season, Kyle Boller started the next week before the team permanently switched to Carson Palmer.

Matt Schaub was the Texans starting quarterback for ten games, but a foot injury ended his season. Matt Leinart took over, but a broken collarbone ended his season, leaving the reins in the hands of rookie T.J. Yates. In St. Louis, an ankle injury caused Sam Bradford to miss a December game against the 49ers, leaving A.J. Feeley to start. Feely injured his right thumb, but Bradford was back the next week. He would miss the rest of the year due to his ankle, though, and Kellen Clemens started the last three games.

So it’s actually not all that rare for a team to go with three different quarterbacks in three weeks; at some point this season, it’s possible the Cardinals will, as well, with John Skelton, Ryan Lindley, and Kevin Kolb. From 2000 to 2011, teams started three different quarterbacks in consecutive games on 36 different occasions:

TmYearGM#QBQBQB
HOU201110-12Matt SchaubMatt LeinartT.J. Yates
OAK20116-8Jason CampbellKyle BollerCarson Palmer
STL201112-14A.J. FeeleySam BradfordKellen Clemens
CAR20108-10Matt MooreJimmy ClausenBrian St. Pierre
MIA20108-10Chad HenneChad PenningtonTyler Thigpen
MIA20109-11Chad PenningtonTyler ThigpenChad Henne
MIN201013-15Tarvaris JacksonBrett FavreJoe Webb
TEN20109-11Kerry CollinsVince YoungRusty Smith
TEN201010-12Vince YoungRusty SmithKerry Collins
CLE200811-13Brady QuinnDerek AndersonKen Dorsey
KAN20081-3Brodie CroyleDamon HuardTyler Thigpen
KAN20085-7Damon HuardBrodie CroyleTyler Thigpen
SEA20084-6Matt HasselbeckCharlie FryeSeneca Wallace
MIN20077-9Kelly HolcombTarvaris JacksonBrooks Bollinger
STL200711-13Marc BulgerGus FrerotteBrock Berlin
STL200712-14Gus FrerotteBrock BerlinMarc Bulger
NYJ20053-5Chad PenningtonBrooks BollingerVinny Testaverde
PIT20059-11Charlie BatchTommy MaddoxBen Roethlisberger
STL200510-12Marc BulgerJamie MartinRyan Fitzpatrick
SFO20056-8Alex SmithKen DorseyCody Pickett
ARI200411-13Shaun KingJohn NavarreJosh McCown
TAM20044-6Brad JohnsonChris SimmsBrian Griese
TEN200314-16Billy VolekSteve McNairNeil O'Donnell
OAK20037-9Rich GannonMarques TuiasosopoRick Mirer
CAR20026-8Rodney PeeteChris WeinkeRandy Fasani
CAR20027-9Chris WeinkeRandy FasaniRodney Peete
CIN20023-5Gus FrerotteAkili SmithJon Kitna
PHI200210-12Donovan McNabbKoy DetmerA.J. Feeley
STL20024-6Kurt WarnerJamie MartinMarc Bulger
STL200212-14Kurt WarnerJamie MartinMarc Bulger
TAM200214-16Brad JohnsonShaun KingRob Johnson
TAM200215-17Shaun KingRob JohnsonBrad Johnson
WAS20023-5Shane MatthewsDanny WuerffelPatrick Ramsey
DAL20014-6Quincy CarterAnthony WrightClint Stoerner
SDG20003-5Moses MorenoRyan LeafJim Harbaugh
SDG20009-11Jim HarbaughMoses MorenoRyan Leaf

Excluding the 1987 season, the 1974 49ers were the only team since the merger to start four different quarterbacks in four weeks. As you can imagine, their story is interesting. Joe Reed entered the season as the starter, after splitting time with a 38-year-old John Brodie (who retired after the season) and Steve Spurrier (who suffered a severely dislocated shoulder in the final pre-season game in ’74) in 1973. He started the first three games of the year, and played miserably, so the team moved on to Dennis Morrison, who had been a 14th-round draft selection in 1973.

Morrison started the 4th and 5th games of the season for the 49ers, which is when the streak began. Morris started game five in Detroit, but threw three interceptions, so in week 6, the 49ers went back to Reed. Reed went 2/8 for 1 interception and was promptly traded later that week. So in week 7, 13th-round rookie Tom Owen started the game and performed reasonably well, but he was just the interim quarterback. That’s because in connection with the Reed trade, San Francisco acquired Norm Snead from the Giants, who sent Snead to San Francisco after acquiring Craig Morton from Dallas. Injuries and ineffectiveness limited Snead to just that one start for the 49ers in ’74, however, and Owen would go on to play (somewhat competently) for the remainder of the year.

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On November 15, 2010, Michael Vick humiliated the Washington Redskins before a national television audience on Monday Night Football. The big news right before kickoff was that the ‘Skins had signed former Eagle QB Donovan McNabb to a five-year, $78 million contract extension, an ironic note that wouldn’t be lost on observers as McNabb’s replacement, Vick, put together one of the greatest all-around quarterbacking performances in NFL history:

DateTm OppResultCmpAttCmp%YdsTDIntRateSkSkYdANYPARushR_YdsR_TD
11/15/2010PHI@WASW 59-28202871.4%33340150.71114.28802

McNabb, on the other hand, was mediocre, going 17-31 with 295 yards and 2 TDs, but also 3 picks. More damning, Washington’s offense produced zero points until the Redskins were in a 35-0 hole and the game was essentially over.

Fast-forward 735 days, though, and the Redskins got their payback. An injured Vick was on the shelf, the Eagles entered the game on a 5-game losing streak, and electrifying rookie Robert Griffin III extended it to six with a brilliant performance of his own:

DateTm OppResultCmpAttCmp%YdsTDIntRateSkSkYdANYPARushR_YdsR_TD
11/18/2012WASPHIW 31-6141593.3%20040158.32816.012840

So, which performance was better, Vick’s original or RGIII’s remix? Vick threw for 133 more yards, rushed for practically the same amount as Griffin (on 4 fewer carries), and produced more total TDs. Then again, Griffin completed 93% of his passes and put together the vaunted 158.3 “perfect” QB rating. It’s a tough call.

Sound off with your opinion below!


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