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PI Finds: The Rivers Index
Last week, I showed you how to set up an "expected W-L" method for a quarterback using the Play Index Team Game Finder, the QB's gamelogs, and a logistic regression formula. I found that our test case, Philip Rivers, should have been expected to win 27.7 games over the last 3 seasons (prior to the Chargers' win over Houston) based on his passing performance, but in actuality only won 24 games, a difference of -3.7 wins. Without context, though, that number doesn't really mean anything -- is that a lot, or a little? Today, I'm going to answer that question by comparing every QB's actual and expected W-L records, something I like to call "The Rivers Index" (in an homage to Doug's Manning and Dungy Indices).
First, we have to find every QB's gamelogs from the past 3 seasons, and that requires the Player Game Finder. Unfortunately, we don't have the ability to search for games started, but we can do the next-best thing -- we can find every instance where the QB was his team's leader in passing attempts in a given game, which should be a good proxy for starting.
Gather your data, run it through the same adjusted YPA/win probability formula as last week, and you come up with these results:
| Player | Games | Wins | WPct | ExpW | ExpW% | DiffW | DiffW% |
|---|---|---|---|---|---|---|---|
| Peyton Manning | 39 | 30.0 | 0.769 | 22.7 | 0.582 | 7.3 | 0.187 |
| Matt Ryan | 35 | 24.0 | 0.686 | 18.6 | 0.532 | 5.4 | 0.154 |
| Kerry Collins | 24 | 15.0 | 0.625 | 10.7 | 0.446 | 4.3 | 0.179 |
| Joe Flacco | 38 | 24.0 | 0.632 | 19.9 | 0.524 | 4.1 | 0.108 |
| Eli Manning | 35 | 23.0 | 0.657 | 19.1 | 0.545 | 3.9 | 0.112 |
| Ben Roethlisberger | 35 | 24.0 | 0.686 | 20.3 | 0.580 | 3.7 | 0.105 |
| Mark Sanchez | 21 | 13.0 | 0.619 | 9.7 | 0.461 | 3.3 | 0.158 |
| Brett Favre | 39 | 24.0 | 0.615 | 20.7 | 0.531 | 3.3 | 0.085 |
| Jake Delhomme | 27 | 15.0 | 0.556 | 12.3 | 0.454 | 2.7 | 0.101 |
| Donovan McNabb | 35 | 21.5 | 0.614 | 19.1 | 0.547 | 2.4 | 0.067 |
| Drew Brees | 39 | 26.0 | 0.667 | 23.7 | 0.608 | 2.3 | 0.058 |
| Gus Frerotte | 10 | 7.0 | 0.700 | 4.7 | 0.473 | 2.3 | 0.227 |
| Vince Young | 16 | 11.0 | 0.688 | 8.9 | 0.555 | 2.1 | 0.132 |
| Tom Brady | 22 | 15.0 | 0.682 | 13.1 | 0.596 | 1.9 | 0.086 |
| Chad Henne | 22 | 11.0 | 0.500 | 9.2 | 0.420 | 1.8 | 0.080 |
| Brian Griese | 5 | 3.0 | 0.600 | 1.6 | 0.330 | 1.4 | 0.270 |
| Kurt Warner | 28 | 18.0 | 0.643 | 16.7 | 0.597 | 1.3 | 0.045 |
| Charlie Batch | 2 | 2.0 | 1.000 | 0.9 | 0.446 | 1.1 | 0.554 |
| Todd Collins | 1 | 1.0 | 1.000 | 0.0 | 0.001 | 1.0 | 0.999 |
| Kellen Clemens | 1 | 1.0 | 1.000 | 0.3 | 0.329 | 0.7 | 0.671 |
| Sam Bradford | 8 | 4.0 | 0.500 | 3.4 | 0.422 | 0.6 | 0.078 |
| Rex Grossman | 2 | 1.0 | 0.500 | 0.4 | 0.192 | 0.6 | 0.308 |
| Carson Palmer | 27 | 12.0 | 0.444 | 11.4 | 0.423 | 0.6 | 0.021 |
| Jim Sorgi | 1 | 1.0 | 1.000 | 0.4 | 0.436 | 0.6 | 0.564 |
| Billy Volek | 1 | 1.0 | 1.000 | 0.5 | 0.481 | 0.5 | 0.519 |
| David Carr | 1 | 1.0 | 1.000 | 0.5 | 0.487 | 0.5 | 0.513 |
| Brad Johnson | 2 | 1.0 | 0.500 | 0.5 | 0.252 | 0.5 | 0.248 |
| Colt McCoy | 3 | 2.0 | 0.667 | 1.5 | 0.513 | 0.5 | 0.153 |
| Matt Cassel | 38 | 19.0 | 0.500 | 18.6 | 0.489 | 0.4 | 0.011 |
| Josh Freeman | 17 | 8.0 | 0.471 | 7.6 | 0.450 | 0.4 | 0.021 |
| Chad Pennington | 18 | 11.0 | 0.611 | 10.7 | 0.593 | 0.3 | 0.018 |
| Matt Moore | 9 | 5.0 | 0.556 | 4.7 | 0.522 | 0.3 | 0.033 |
| Max Hall | 2 | 1.0 | 0.500 | 0.7 | 0.367 | 0.3 | 0.133 |
| Troy Smith | 1 | 1.0 | 1.000 | 0.9 | 0.880 | 0.1 | 0.120 |
| Dennis Dixon | 2 | 1.0 | 0.500 | 0.9 | 0.446 | 0.1 | 0.054 |
| Matt Hasselbeck | 26 | 10.0 | 0.385 | 9.9 | 0.382 | 0.1 | 0.003 |
| Michael Vick | 4 | 3.0 | 0.750 | 3.0 | 0.743 | 0.0 | 0.007 |
| Damon Huard | 3 | 1.0 | 0.333 | 1.0 | 0.329 | 0.0 | 0.004 |
| Jay Cutler | 39 | 19.0 | 0.487 | 19.1 | 0.489 | -0.1 | -0.002 |
| Charlie Whitehurst | 1 | 0.0 | 0.000 | 0.1 | 0.126 | -0.1 | -0.126 |
| Brian Brohm | 1 | 0.0 | 0.000 | 0.1 | 0.129 | -0.1 | -0.129 |
| Charlie Frye | 4 | 1.0 | 0.250 | 1.1 | 0.287 | -0.1 | -0.037 |
| Brooks Bollinger | 1 | 0.0 | 0.000 | 0.2 | 0.151 | -0.2 | -0.151 |
| Andrew Walter | 2 | 0.0 | 0.000 | 0.2 | 0.103 | -0.2 | -0.103 |
| Ken Dorsey | 3 | 0.0 | 0.000 | 0.3 | 0.106 | -0.3 | -0.106 |
| Todd Bouman | 1 | 0.0 | 0.000 | 0.4 | 0.350 | -0.4 | -0.350 |
| Chris Redman | 3 | 1.0 | 0.333 | 1.4 | 0.479 | -0.4 | -0.146 |
| Derek Anderson | 20 | 7.0 | 0.350 | 7.5 | 0.373 | -0.5 | -0.023 |
| Jeff Garcia | 11 | 6.0 | 0.545 | 6.5 | 0.588 | -0.5 | -0.042 |
| Kevin Kolb | 7 | 3.0 | 0.429 | 3.5 | 0.499 | -0.5 | -0.070 |
| Josh Johnson | 3 | 0.0 | 0.000 | 0.5 | 0.176 | -0.5 | -0.176 |
| Trent Green | 2 | 0.0 | 0.000 | 0.5 | 0.271 | -0.5 | -0.271 |
| Drew Stanton | 3 | 0.0 | 0.000 | 0.6 | 0.196 | -0.6 | -0.196 |
| Matt Leinart | 2 | 0.0 | 0.000 | 0.6 | 0.313 | -0.6 | -0.313 |
| Matt Schaub | 31 | 18.0 | 0.581 | 18.7 | 0.604 | -0.7 | -0.023 |
| Brady Quinn | 11 | 3.0 | 0.273 | 3.7 | 0.341 | -0.7 | -0.068 |
| Keith Null | 4 | 0.0 | 0.000 | 0.8 | 0.192 | -0.8 | -0.192 |
| J.T. O'Sullivan | 6 | 2.0 | 0.333 | 2.9 | 0.480 | -0.9 | -0.146 |
| Byron Leftwich | 3 | 0.0 | 0.000 | 1.0 | 0.326 | -1.0 | -0.326 |
| Jimmy Clausen | 3 | 0.0 | 0.000 | 1.0 | 0.335 | -1.0 | -0.335 |
| J.P. Losman | 3 | 0.0 | 0.000 | 1.0 | 0.341 | -1.0 | -0.341 |
| Shaun Hill | 18 | 8.0 | 0.444 | 9.0 | 0.502 | -1.0 | -0.057 |
| Brodie Croyle | 2 | 0.0 | 0.000 | 1.0 | 0.524 | -1.0 | -0.524 |
| Ryan Fitzpatrick | 26 | 9.5 | 0.365 | 10.6 | 0.407 | -1.1 | -0.041 |
| Tarvaris Jackson | 5 | 2.0 | 0.400 | 3.2 | 0.632 | -1.2 | -0.232 |
| Matthew Stafford | 12 | 3.0 | 0.250 | 4.2 | 0.350 | -1.2 | -0.100 |
| Bruce Gradkowski | 9 | 3.0 | 0.333 | 4.2 | 0.468 | -1.2 | -0.135 |
| Kyle Boller | 5 | 0.0 | 0.000 | 1.3 | 0.269 | -1.3 | -0.269 |
| Trent Edwards | 22 | 8.0 | 0.364 | 9.5 | 0.431 | -1.5 | -0.067 |
| Sage Rosenfels | 5 | 1.0 | 0.200 | 2.5 | 0.497 | -1.5 | -0.297 |
| Tony Romo | 32 | 18.0 | 0.563 | 19.8 | 0.617 | -1.8 | -0.055 |
| Alex Smith | 17 | 6.0 | 0.353 | 7.8 | 0.461 | -1.8 | -0.108 |
| Kyle Orton | 38 | 18.0 | 0.474 | 20.1 | 0.530 | -2.1 | -0.056 |
| Jon Kitna | 6 | 0.0 | 0.000 | 2.2 | 0.375 | -2.2 | -0.375 |
| Jason Campbell | 35 | 15.0 | 0.429 | 17.5 | 0.501 | -2.5 | -0.073 |
| Seneca Wallace | 11 | 3.0 | 0.273 | 5.7 | 0.514 | -2.7 | -0.241 |
| Dan Orlovsky | 6 | 0.0 | 0.000 | 2.9 | 0.478 | -2.9 | -0.478 |
| JaMarcus Russell | 19 | 6.0 | 0.316 | 8.9 | 0.470 | -2.9 | -0.154 |
| Daunte Culpepper | 9 | 0.0 | 0.000 | 3.2 | 0.360 | -3.2 | -0.360 |
| Aaron Rodgers | 39 | 21.0 | 0.538 | 24.3 | 0.622 | -3.3 | -0.084 |
| David Garrard | 37 | 15.0 | 0.405 | 18.4 | 0.498 | -3.4 | -0.092 |
| Tyler Thigpen | 11 | 1.0 | 0.091 | 5.0 | 0.458 | -4.0 | -0.368 |
| Philip Rivers | 40 | 24.0 | 0.600 | 28.0 | 0.701 | -4.0 | -0.101 |
| Marc Bulger | 21 | 3.0 | 0.143 | 8.1 | 0.384 | -5.1 | -0.242 |
(Click the red text to sort by that header)
Peyton Manning has traditionally owned adjusted YPA, but over the past 3 seasons, he won more games that he "shouldn't have" (based on AY/A) than any other QB. Here are the seven games in which Manning had a win probability of less than 50% but won anyway:
| Date | Tm | Opp | Result | Score | G# | W# | Day | Cmp | Att | Yds | TD | Int | AY/A | p(W) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 11/30/2008 | IND | @ | CLE | W | 10-6 | 12 | 13 | Sun | 15 | 21 | 125 | 0 | 2 | 1.67 | 0.117 |
| 12/13/2009 | IND | DEN | W | 28-16 | 13 | 14 | Sun | 20 | 42 | 220 | 4 | 3 | 3.93 | 0.253 | |
| 10/10/2010 | IND | KAN | W | 19-9 | 5 | 5 | Sun | 26 | 44 | 244 | 0 | 1 | 4.52 | 0.302 | |
| 11/23/2008 | IND | @ | SDG | W | 23-20 | 11 | 12 | Sun | 32 | 44 | 255 | 2 | 1 | 5.68 | 0.411 |
| 9/14/2008 | IND | @ | MIN | W | 18-15 | 2 | 2 | Sun | 26 | 42 | 311 | 1 | 2 | 5.74 | 0.417 |
| 11/8/2009 | IND | HOU | W | 20-17 | 8 | 9 | Sun | 34 | 50 | 318 | 1 | 1 | 5.86 | 0.429 | |
| 11/29/2009 | IND | @ | HOU | W | 35-27 | 11 | 12 | Sun | 27 | 35 | 244 | 3 | 2 | 6.11 | 0.455 |
Compare that to the 3 games where he played well enough to have a win probability over 50% and still lost:
| Date | Tm | Opp | Result | Score | G# | W# | Day | Cmp | Att | Yds | TD | Int | AY/A | p(W) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 12/27/2009 | IND | NYJ | L | 15-29 | 15 | 16 | Sun | 14 | 21 | 192 | 0 | 0 | 9.14 | 0.744 | |
| 9/12/2010 | IND | @ | HOU | L | 24-34 | 1 | 1 | Sun | 40 | 57 | 433 | 3 | 0 | 8.65 | 0.704 |
| 10/3/2010 | IND | @ | JAX | L | 28-31 | 4 | 4 | Sun | 33 | 46 | 352 | 2 | 1 | 7.54 | 0.601 |
So much for the idea that Peyton's stats always outpace his wins!
Meanwhile, it turns out that poor Philip Rivers is indeed at the opposite end of the spectrum, finishing 2nd-to-last in terms of the difference between actual wins and expected wins. Rivers has lost eleven games with a win probability of 50% of greater:
| Date | Tm | Opp | Result | Score | G# | W# | Day | Cmp | Att | Yds | TD | Int | AY/A | p(W) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9/14/2008 | SDG | @ | DEN | L | 38-39 | 2 | 2 | Sun | 21 | 33 | 377 | 3 | 1 | 11.88 | 0.900 |
| 10/10/2010 | SDG | @ | OAK | L | 27-35 | 5 | 5 | Sun | 27 | 42 | 431 | 2 | 0 | 11.21 | 0.873 |
| 11/23/2008 | SDG | IND | L | 20-23 | 11 | 12 | Sun | 24 | 31 | 288 | 2 | 0 | 10.58 | 0.841 | |
| 9/7/2008 | SDG | CAR | L | 24-26 | 1 | 1 | Sun | 17 | 27 | 217 | 3 | 0 | 10.26 | 0.822 | |
| 10/19/2009 | SDG | DEN | L | 23-34 | 5 | 6 | Mon | 20 | 33 | 274 | 1 | 0 | 8.91 | 0.726 | |
| 10/26/2008 | SDG | @ | NOR | L | 32-37 | 8 | 8 | Sun | 25 | 40 | 341 | 3 | 1 | 8.90 | 0.725 |
| 10/4/2009 | SDG | @ | PIT | L | 28-38 | 4 | 4 | Sun | 21 | 36 | 254 | 3 | 0 | 8.72 | 0.710 |
| 9/13/2010 | SDG | @ | KAN | L | 14-21 | 1 | 1 | Mon | 22 | 39 | 298 | 2 | 0 | 8.67 | 0.705 |
| 9/20/2009 | SDG | BAL | L | 26-31 | 2 | 2 | Sun | 25 | 45 | 436 | 2 | 2 | 8.58 | 0.698 | |
| 9/26/2010 | SDG | @ | SEA | L | 20-27 | 3 | 3 | Sun | 29 | 53 | 455 | 2 | 2 | 7.64 | 0.610 |
| 10/19/2008 | SDG | @ | BUF | L | 14-23 | 7 | 7 | Sun | 22 | 29 | 208 | 2 | 1 | 7.00 | 0.546 |
He has only won 3 times in games where his win probability was less than 50%:
| Date | Tm | Opp | Result | Score | G# | W# | Day | Cmp | Att | Yds | TD | Int | AY/A | p(W) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9/28/2008 | SDG | @ | OAK | W | 28-18 | 4 | 4 | Sun | 14 | 25 | 180 | 1 | 2 | 4.40 | 0.291 |
| 11/8/2009 | SDG | @ | NYG | W | 21-20 | 8 | 9 | Sun | 24 | 36 | 209 | 3 | 2 | 4.97 | 0.342 |
| 9/14/2009 | SDG | @ | OAK | W | 24-20 | 1 | 1 | Mon | 24 | 36 | 252 | 1 | 1 | 6.31 | 0.474 |
Marc Bulger is the undisputed king of unlucky QBs, though, racking up the biggest negative differential between actual and expected wins while playing half as many games as Rivers:
| Date | Tm | Opp | Result | Score | G# | W# | Day | Cmp | Att | Yds | TD | Int | AY/A | p(W) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9/7/2008 | STL | @ | PHI | L | 3-38 | 1 | 1 | Sun | 14 | 26 | 158 | 0 | 0 | 6.08 | 0.451 |
| 9/14/2008 | STL | NYG | L | 13-41 | 2 | 2 | Sun | 20 | 32 | 177 | 1 | 1 | 4.75 | 0.322 | |
| 9/21/2008 | STL | @ | SEA | L | 13-37 | 3 | 3 | Sun | 18 | 31 | 184 | 1 | 1 | 5.13 | 0.357 |
| 10/12/2008 | STL | @ | WAS | W | 19-17 | 5 | 6 | Sun | 15 | 26 | 136 | 0 | 0 | 5.23 | 0.367 |
| 10/19/2008 | STL | DAL | W | 34-14 | 6 | 7 | Sun | 13 | 18 | 163 | 1 | 0 | 10.17 | 0.816 | |
| 10/26/2008 | STL | @ | NWE | L | 16-23 | 7 | 8 | Sun | 18 | 34 | 304 | 1 | 1 | 8.21 | 0.664 |
| 11/2/2008 | STL | ARI | L | 13-34 | 8 | 9 | Sun | 16 | 33 | 186 | 2 | 2 | 4.12 | 0.268 | |
| 11/9/2008 | STL | @ | NYJ | L | 3-47 | 9 | 10 | Sun | 6 | 13 | 65 | 0 | 1 | 1.54 | 0.112 |
| 11/16/2008 | STL | @ | SFO | L | 16-35 | 10 | 11 | Sun | 34 | 53 | 295 | 1 | 2 | 4.25 | 0.278 |
| 11/30/2008 | STL | MIA | L | 12-16 | 12 | 13 | Sun | 16 | 35 | 149 | 0 | 3 | 0.40 | 0.073 | |
| 12/7/2008 | STL | @ | ARI | L | 10-34 | 13 | 14 | Sun | 22 | 37 | 228 | 1 | 1 | 5.49 | 0.392 |
| 12/14/2008 | STL | SEA | L | 20-23 | 14 | 15 | Sun | 19 | 32 | 207 | 1 | 0 | 7.09 | 0.556 | |
| 12/21/2008 | STL | SFO | L | 16-17 | 15 | 16 | Sun | 19 | 36 | 227 | 1 | 1 | 5.61 | 0.404 | |
| 12/28/2008 | STL | @ | ATL | L | 27-31 | 16 | 17 | Sun | 19 | 32 | 230 | 1 | 0 | 7.81 | 0.627 |
| 9/13/2009 | STL | @ | SEA | L | 0-28 | 1 | 1 | Sun | 17 | 36 | 191 | 0 | 0 | 5.31 | 0.374 |
| 9/20/2009 | STL | @ | WAS | L | 7-9 | 2 | 2 | Sun | 15 | 28 | 125 | 1 | 0 | 5.18 | 0.362 |
| 10/18/2009 | STL | @ | JAX | L | 20-23 | 6 | 6 | Sun | 22 | 34 | 213 | 1 | 1 | 5.53 | 0.396 |
| 10/25/2009 | STL | IND | L | 6-42 | 7 | 7 | Sun | 14 | 26 | 140 | 0 | 2 | 1.92 | 0.129 | |
| 11/1/2009 | STL | @ | DET | W | 17-10 | 8 | 8 | Sun | 17 | 35 | 176 | 0 | 1 | 3.74 | 0.239 |
| 11/15/2009 | STL | NOR | L | 23-28 | 9 | 10 | Sun | 26 | 40 | 298 | 2 | 1 | 7.33 | 0.579 | |
| 11/22/2009 | STL | ARI | L | 13-21 | 10 | 11 | Sun | 19 | 37 | 215 | 0 | 1 | 4.59 | 0.308 |
I always thought Bulger was a quality QB; it's a shame his last few viable seasons as a starter were spent surrounded by some of the worst supporting casts of any passer in the league.
This entry was posted on Thursday, November 11th, 2010 at 2:16 pm and is filed under PI Finds, Play Index, Quarterbacks, Statgeekery. You can follow any responses to this entry through the RSS 2.0 feed. Both comments and pings are currently closed.

I KNEW the Broncos wasn't outplayed by Indy last year. As soon as I saw what was going on, I went straight to see if that game was there. I feel vindicated.
This really helps lend credence to the fact (not opinion) that it wasn't Rodgers' fault the Packers were 6-10 in 2008. IIRC the defense blew numerous leads in the 4th quarter that season.
I feel the need to point out that the first game Manning lost but played well enough to win, the one vs the Jets, is where he, and almost all the rest of the Colts starters, were pulled in the 3rd quarter to rest up for the playoffs. I have to wonder how QBs being pulled from games affects this sort of list, as there may be similar cases of QBs playing "well enough to win" but ending up with a loss because they were yanked early for their own safety (Or, on the other side, QBs barely playing at all in a game, and perhaps having that game not be counted).
Not to name any names, but there are a few QBs playing today that are really good at putting up the numbers when their team is behind by a considerable margin, and turning losing efforts that were fairly impotent in the close part of the game into something statistically solid.
Ok, I'll name one name. I'm surprised Matt Schaub isn't closer to the bottom of the list.
Scott,
Are you thinking about Rivers having a 71% p(W) in a game where the Chargers never threatened to win?
I'll name another name: Jason Campbell. In 2008 and 2009 he was an egregious garbage time stat compiler. Here are his passer ratings:
2009
While Ahead: 75.5
While Behind: 89.1
Behind by 9+: 112.0 (!)
2008
While Ahead: 76.7
While Behind: 82.6
Behind by 9+: 90.6
When his team is already hopelessly out of the game, Mr. Campbell really knows how to torch those prevent defenses!
Jerry, that would be a great example. As would be the playoff game against the Steelers from 08.
Jerry, are you really suggesting SD never had a very likely chance of beating PIT in 09?? That game was 28-35 in the last couple of minutes. If SD's D got 1 stop, there is no doubt SD would of won that game, with the momentum that had shifted and the rhythm SD's offense and Rivers were in.
Anthony, really? "If SD's D got 1 stop, there is no doubt SD would of won that game..."?
We must have been watching different games. In fact I know we were since the score was 35-24, not 35-28.
Steelers weren't in much danger of losing in the second half according to Brian Burke's win probability graphs: http://wp.advancednflstats.com/nflarchive.php?year=2008&team=PIT&gameid=54462
That's the playoff game. They're talking about the 09 regular season game, though it's really the same thing.
http://wp.advancednflstats.com/nflarchive.php?year=2009&team=PIT&gameid=54527
The two games are a bit different. The playoff game was close at halftime, and then San Diego ran one (!) offensive play in the third quarter. Their win probability, according to Burke, never exceeded 10% in the fourth quarter. The regular season game, which is what I had in mind, involved the Steelers jumping out to an early lead and then letting the Chargers rack up a lot of yards. Again using Burke's win probabilities, San Diego was never above 50%, never above 11% after the first quarter, and never above 9% in the second half.
I should add that this isn't meant to denigrate Philip Rivers. It's just that I remember the 2009 regular season game well enough that I know a 71% estimate of win probability has no relation to what happened on the field.
The point of the 71% number is that whenever you put up 21-36, 254 yds, 3 TDs, and 0 INT, your team tends to win 71% of the time. And that's regardless of when you put up the numbers -- the model is based on all games, garbage time included.
It's safe to say that when you lose a game despite those numbers, it's probably the fault of somebody other than the QB.
I am a major colts fan and as such, i really despise the chargers, but even I cannot deny how heroic philip rivers has played this year. I still can't understand how he isn't mentioned in the category of the best qbs. Is it really a matter of playoff wins? go look at any of the great qbs, and you will find their history litered with poor performances but still coming out with the win. I simply will never buy into the fact that a qb should be judged on win/loss. Its the same bs excuse that manning detractors have used his entire career.
Which, in part, explains why Luddites, Creationists, Fox Newsers believe the sun revolves around the earth (inconsequential), Apollo 11 was a hoax (inconsequential), Marino & Manning > than Montana or Brady (life & death).
It's safe to say that when you lose a game despite those numbers, it's probably the fault of somebody other than the QB.
"Safe"? Maybe not.
---
bit.ly/9Or5R2
October 10, 2010
After two blocked punts resulted in a safety and touchdown, the Chargers began to move the ball, only to have Mike Tolbert fumble at the goal line and Philip Rivers lose the ball on a blindside sack on successive first-quarter drives.
[Then] the Raiders drove 97 yards and 73 yards for touchdowns on their final two possessions and then all but iced the game with a 64-yard return of a sack-fumble with 58 seconds remaining by Tyvon Branch after Michael Huff knocked the ball away from Rivers.
---
Cf. Sacked When Passing [ bit.ly/bdTDBk ]. Rivers' sack-rate-per-attempt doesn't necessarily jump out (though it's on the high end of those listed by STATs.com); but his sacked-when-passing rate suggests Rivers gambles on protection or would rather take a sack than throw it away even when he's aware of pocket-collapsing pressure (if River were "unaware", his sack-rate-per-attempt would presumably be higher).
I'll give Rivers props for the rally against the Patriots this year. He gave them a chance in spite of all the mistakes by the players around him that day. But these first 4 losses (KC, SEA, RAI, RAM), there's nothing heroic about those games. He threw for a lot of yards, but that's about it. I guess if he was actually a better QB there'd be more criticism for him, but since he's in that 4-6 range it's considered "amazing" what he's doing this year.
Admittedly, the method outlined here doesn't take into account sacks and fumbles. However, Chase's most recent QBGOAT system does, and guess what? Over the past 3 years, Rivers leads it by far as well:
You really can't say he hasn't earned a better W-L record than he currently has.
San Diego should have won the first 2 games in 2008. Jake Delhomme threw a GW TD as time expired after Rivers put them ahead. Then the very next week Ed Hochuli blew the call on Jay Cutler's fumble that would have ended that game and gave SD the win. So there's two games he played very well in and they lost, which would have brought him up to 26 wins (expected: 28).
Other than those two games I think he has what he's earned.
Guess what?
I'm not questioning your data (nor Chase's for that matter). I am questioning its usefulness and the perception of ex ante reasoning to justify your conclusions (e.g., Rivers is "probably" not responsible for SD's underperformance, then looking for exculpatory data which hardly exculpates). Especially when, in the case of sack-fumbles, all fumbles/sack-fumbles are treated alike (-50 yds) -- including those that result in opposing game-winning or margin-of-victory TDs. n.b. I absolutely concde the difficulty of mining "meaning" from fumble data without outcome data for the ensuing (opposing) possession.
I also thought your earlier question was provocative and astute: Should Rivers/the Chargers be winning more (more games, more often) based on his numbers?
I don't follow Rivers or the Chargers but the question intrigued enough to look at other numbers. STATS.com revealed, among other things, that Rivers currently leads the league in sacked-when-passing.
Similarly, I had NO idea the Chargers lost on 10/10 in no small part because of Rivers' sack-fumbles. It was your assertion that SD losses relative to Rivers' numbers were "probably the fault of somebody other than the QB" that prompted my Google search [ bit.ly/bn2ABQ ] and at least 1 returned hit that pointed directly at Rivers and his game-affecting turnovers (the story linked to was the 1st and only hit I've examined thus far).
Shorter: I'm only following the path led by your original question. I don't think GOAT data is any more or less useful than actual game synopses absent similarly useful context.
Even shorter: yes, I *agree* SD should be winning more given Rivers' statistical excellence; yes I *agree* his teammates are culpable; yes I assert there are other numbers which include or indict Rivers culpability.
... [share of] culpability.
OK, so let's say the yards, the TDs, all of the passing stats... they don't matter. Rivers' only job is to put points on the board. He is 100% responsible for the San Diego Chargers' offensive production -- if the offense scores, he gets all the credit, and if they don't, he gets all the blame.
Using Doug's offensive points per drive metric from the Approximate Value formula, here are the 2008-2010 leaders in average offensive points per drive:
Unless you're willing to also blame Rivers when San Diego's defense and special teams fail, I'm still having a hard time seeing your point.
Those drive stats look off. Football Outsiders have them and the Chargers have never been above 2.6 for any of the last 3 seasons.
For as bad as SD's special teams have been, scores like 21-14, 27-20, 35-27, 20-17 and 23-20 aren't even close to looking like "DEF/ST fall apart" days. Those are manageable games. Only the Raider score looks bad, but they scored a huge TD when Rivers fumbled the ball late and was complaining to a referee instead of making a tackle attempt. Nothing to this point is going to get me on the "woe is Philip Rivers 2010" bandwagon. He needs to turn more of those yards into points. And there's more to it than dropping 38-41 on teams like Jacksonville and Arizona.
Those were computed according to the formula I linked:
offensive points per drive = (6*(rushTD+passTD) + (XP/XPA)*(rushTD+passTD) + 3*FG) / (rushTD + passTD + turnovers + punts + FGA)
That's just an estimate, obviously; I assume FO tracks them straight from the drive charts. So I went to FO and compiled their numbers over the same span of years (2008-10):
Scott.... If you had the time to watch every Chargers game and follow every play, it would be blatantly obvious that the only reason the Bolts were in those games that they lost this year was solely because of Rivers' astounding play. The Bolts have had the worst ST through 9 games in NFL history. Their TO differential is their worst in a decade (Rivers is but a small part with only 8 picks). I guess when they win their last 9 games of the season perhaps you will warm up to him...
For as bad as SD's special teams have been, scores like 21-14, 27-20, 35-27, 20-17 and 23-20 aren't even close to looking like "DEF/ST fall apart" days
In those games the Special teams directly gave up 7, 14, 9, 0 points respectively, and in each of those games bad coverage has led to other good scoring opportunities for their opponents. In addition, in those game fumbles by players other than Rivers gave their opponents short field opportunities in which they took advantage of and others which gave away scoring opportunities by turning the ball over in the endzone. When a running back fumbles inside the 10 yard line I find that hard to blame on the QB.
He needs to turn more of those yards into points. And there's more to it than dropping 38-41 on teams like Jacksonville and Arizona.
The Chargers are 5th in points per game, and they've managed to do it while leading the league in fumbles, being decimated by injuries at the receiver position, and having only a marginal running game.
I posted this on the forum that linked here:
Let me start by saying I have always hated the concept of "QB wins" as a stat. Now, please correct me if I'm wrong here, but if I understand this right, he is using YPA as a predictor for wins?? Think about the absurdity of that for a second. Any QB facing a prevent defense is in a situation where he's likely going to lose ("preventing a win" jokes aside) but also rack up a ton of YPA. Further, consider that an eight yard completion on 3rd and 10 is a great way QBs inflate YPA and QB rating, despite the fact the play was an unsuccessful endeavor.
Personally, I think a much better predictor would be Football Outsiders' DVOA or DYAR--far more telling QB efficiency stats than simply YPA.