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Best Single-Game Quarterback Performances, 1970-2009
Last year, I wrote a post explaining a method of translating quarterback stats across different eras based on the league's average numbers. I followed that up with a pair of posts that looked at peak QB performance using the translation method and an estimate of Football Outsiders' YAR (Yards Above Replacement) metric. Today, I want to apply that same methodology to all single-game QB performances (regular-season and playoffs) since the AFL-NFL merger in 1970...
Just as I did last year, I pulled all of the QB data from FO's site (covering the span of 1993-2009) and ran a linear regression to estimate YAR from the following ordinary box score stats:
ePYAR ~ -6.57*Att + 3.62*Cmp + 0.97*Yds + 13.27*TD - 43.37*Int
eRYAR ~ -2.97*Att + 0.6*Yds + 9.19*TD
To be consistent with the time frame of FO's stats, I then translated all single-game numbers from their actual offensive environment to the composite conditions of 1993-2009, which looked like this on a per-game basis:
| rAtt | rYds | rTD | pAtt | pCmp | pYds | pTD | pInt |
|---|---|---|---|---|---|---|---|
| 27.9 | 112.6 | 0.8 | 32.9 | 19.3 | 223.6 | 1.3 | 1.0 |
After adjusting for era and running the estimated YAR formula, here are the best quarterbacking performances since the merger:
(Mouse over column headers for descriptions)
| Actual Stats | Adjusted for Era | |||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Rk | Player | Date | Tm | Op | A | C | pY | pT | I | R | rY | rT | A | C | pY | pT | I | R | rY | rT | eYAR | |
| 100 | Donovan McNabb | 12/10/2000 | phi | cle | 36 | 23 | 390 | 4 | 0 | 3 | 12 | 0 | 36 | 23 | 393 | 4 | 0 | 3 | 12 | 0 | 281.0 | |
| 99 | Peyton Manning | 9/23/2001 | clt | buf | 29 | 23 | 421 | 4 | 2 | 7 | 26 | 1 | 29 | 23 | 426 | 4 | 2 | 7 | 26 | 1 | 281.0 | |
| 98 | Dan Marino | 1/6/1985 | mia | pit | 32 | 21 | 421 | 4 | 1 | 0 | 0 | 0 | 33 | 23 | 412 | 4 | 1 | 0 | 0 | 0 | 281.1 | |
| 97 | Jack Concannon | 12/13/1970 | chi | gnb | 34 | 21 | 338 | 4 | 1 | 4 | 31 | 1 | 42 | 30 | 417 | 4 | 1 | 4 | 29 | 1 | 281.5 | |
| 96 | Billy Volek | 12/13/2004 | oti | kan | 43 | 29 | 426 | 4 | 0 | 2 | 24 | 0 | 44 | 29 | 423 | 4 | 0 | 2 | 23 | 0 | 282.0 | |
| 95 | Dave Krieg | 11/24/1994 | det | buf | 25 | 20 | 351 | 3 | 0 | 1 | 0 | 0 | 24 | 20 | 345 | 3 | 0 | 1 | 0 | 0 | 282.6 | |
| 94 | Marc Bulger | 12/24/2006 | ram | was | 38 | 25 | 388 | 4 | 0 | 2 | 27 | 0 | 39 | 25 | 396 | 4 | 0 | 2 | 26 | 0 | 283.1 | |
| 93 | Dan Marino | 9/4/1994 | mia | nwe | 42 | 23 | 473 | 5 | 1 | 3 | 8 | 0 | 41 | 23 | 465 | 5 | 1 | 3 | 9 | 0 | 283.7 | |
| 92 | Jim Kelly | 9/27/1992 | buf | nwe | 20 | 15 | 308 | 3 | 0 | 1 | 1 | 0 | 22 | 17 | 335 | 3 | 0 | 1 | 1 | 0 | 284.5 | |
| 91 | Len Dawson | 11/21/1971 | kan | den | 19 | 11 | 294 | 3 | 1 | 0 | 0 | 0 | 24 | 16 | 378 | 4 | 1 | 0 | 0 | 0 | 284.9 | |
| 90 | Drew Bledsoe | 9/15/2002 | buf | min | 49 | 35 | 463 | 3 | 0 | 1 | 0 | 0 | 48 | 34 | 456 | 3 | 0 | 1 | 0 | 0 | 285.7 | |
| 89 | Bob Griese | 11/2/1975 | mia | chi | 19 | 12 | 288 | 3 | 0 | 2 | -6 | 0 | 23 | 16 | 352 | 3 | 0 | 2 | -5 | 0 | 286.2 | |
| 88 | Chris Chandler | 9/24/1995 | oti | cin | 26 | 23 | 352 | 4 | 0 | 5 | 19 | 0 | 25 | 22 | 334 | 4 | 0 | 5 | 20 | 0 | 289.1 | |
| 87 | Dick Shiner | 9/16/1973 | atl | nor | 15 | 13 | 227 | 3 | 0 | 3 | -2 | 0 | 20 | 20 | 318 | 4 | 0 | 2 | -2 | 0 | 289.6 | |
| 86 | Archie Manning | 9/23/1979 | nor | sfo | 28 | 20 | 355 | 2 | 0 | 2 | -2 | 0 | 32 | 25 | 399 | 2 | 0 | 2 | -2 | 0 | 290.0 | |
| 85 | John Hadl | 12/12/1971 | sdg | den | 36 | 21 | 332 | 4 | 0 | 0 | 0 | 0 | 46 | 31 | 427 | 5 | 0 | 0 | 0 | 0 | 290.2 | |
| 84 | Steve Spurrier | 11/19/1972 | sfo | chi | 27 | 17 | 275 | 5 | 0 | 1 | 8 | 0 | 36 | 26 | 364 | 6 | 0 | 1 | 6 | 0 | 290.4 | |
| 83 | Dan Marino | 9/30/1984 | mia | crd | 36 | 24 | 429 | 3 | 0 | 1 | -2 | 0 | 37 | 26 | 420 | 3 | 0 | 1 | -2 | 0 | 291.5 | |
| 82 | Jim Plunkett | 11/18/1973 | nwe | gnb | 32 | 18 | 348 | 2 | 1 | 3 | 8 | 1 | 43 | 28 | 488 | 3 | 1 | 2 | 6 | 1 | 291.6 | |
| 81 | Tommy Maddox | 11/10/2002 | pit | atl | 41 | 28 | 473 | 4 | 1 | 2 | 7 | 0 | 40 | 27 | 466 | 4 | 1 | 2 | 7 | 0 | 292.1 | |
| 80 | Fran Tarkenton | 11/30/1975 | min | was | 37 | 27 | 357 | 1 | 0 | 2 | 30 | 1 | 44 | 36 | 436 | 1 | 0 | 2 | 23 | 1 | 293.0 | |
| 79 | Jim Hart | 10/28/1973 | crd | nyg | 18 | 13 | 235 | 4 | 0 | 1 | -2 | 0 | 24 | 20 | 330 | 5 | 0 | 1 | -2 | 0 | 295.3 | |
| 78 | Craig Morton | 9/27/1981 | den | sdg | 18 | 17 | 308 | 4 | 0 | 2 | 6 | 0 | 19 | 19 | 309 | 4 | 0 | 2 | 5 | 0 | 296.6 | |
| 77 | Fran Tarkenton | 10/13/1974 | min | oti | 24 | 18 | 274 | 3 | 0 | 1 | 15 | 0 | 30 | 25 | 357 | 4 | 0 | 1 | 13 | 0 | 296.7 | |
| 76 | Kurt Warner | 9/14/2008 | crd | mia | 24 | 19 | 361 | 3 | 0 | 0 | 0 | 0 | 24 | 19 | 360 | 3 | 0 | 0 | 0 | 0 | 297.2 | |
| 75 | Trent Green | 12/14/2003 | kan | det | 25 | 20 | 341 | 3 | 0 | 1 | 14 | 0 | 26 | 20 | 357 | 3 | 0 | 1 | 13 | 0 | 297.8 | |
| 74 | Kurt Warner | 12/2/2001 | ram | atl | 23 | 17 | 342 | 4 | 0 | 1 | 3 | 0 | 23 | 17 | 346 | 4 | 0 | 1 | 3 | 0 | 298.0 | |
| 73 | Donovan McNabb | 9/18/2005 | phi | sfo | 29 | 23 | 342 | 5 | 0 | 0 | 0 | 0 | 30 | 23 | 350 | 5 | 0 | 0 | 0 | 0 | 298.2 | |
| 72 | Marc Bulger | 11/10/2002 | ram | sdg | 48 | 36 | 453 | 4 | 0 | 1 | -1 | 0 | 47 | 35 | 446 | 4 | 0 | 1 | -1 | 0 | 298.3 | |
| 71 | Terry Bradshaw | 12/19/1976 | pit | clt | 18 | 14 | 264 | 3 | 0 | 0 | 0 | 0 | 23 | 20 | 340 | 4 | 0 | 0 | 0 | 0 | 300.4 | |
| 70 | Kelly Holcomb | 11/16/2003 | cle | crd | 35 | 29 | 392 | 3 | 0 | 3 | -2 | 0 | 36 | 30 | 410 | 3 | 0 | 3 | -2 | 0 | 300.7 | |
| 69 | Bubby Brister | 10/14/1990 | pit | den | 28 | 21 | 353 | 4 | 0 | 2 | 7 | 0 | 31 | 24 | 373 | 4 | 0 | 2 | 7 | 0 | 300.8 | |
| 68 | Dan Fouts | 12/11/1982 | sdg | sfo | 48 | 33 | 444 | 5 | 0 | 1 | -2 | 0 | 50 | 36 | 449 | 5 | 0 | 1 | -2 | 0 | 301.1 | |
| 67 | Doug Flutie | 12/23/2000 | buf | sea | 25 | 20 | 366 | 3 | 0 | 8 | 31 | 0 | 25 | 20 | 369 | 3 | 0 | 8 | 31 | 0 | 301.6 | |
| 66 | Joe Montana | 9/24/1989 | sfo | phi | 34 | 25 | 428 | 5 | 1 | 4 | 14 | 0 | 35 | 27 | 418 | 5 | 1 | 4 | 14 | 0 | 301.6 | |
| 65 | Kurt Warner | 1/10/2010 | crd | gnb | 33 | 29 | 379 | 5 | 0 | 0 | 0 | 0 | 33 | 28 | 365 | 5 | 0 | 0 | 0 | 0 | 302.3 | |
| 64 | Fran Tarkenton | 11/7/1976 | min | det | 25 | 17 | 347 | 2 | 1 | 3 | -1 | 0 | 31 | 24 | 447 | 2 | 1 | 2 | -1 | 0 | 303.0 | |
| 63 | Peyton Manning | 9/28/2003 | clt | nor | 25 | 20 | 314 | 6 | 0 | 1 | 1 | 0 | 26 | 20 | 328 | 6 | 0 | 1 | 1 | 0 | 304.0 | |
| 62 | Carson Palmer | 11/12/2006 | cin | sdg | 42 | 31 | 440 | 3 | 0 | 1 | 3 | 0 | 43 | 31 | 449 | 3 | 0 | 1 | 3 | 0 | 304.7 | |
| 61 | Earl Morrall | 10/31/1971 | clt | pit | 19 | 11 | 286 | 3 | 0 | 0 | 0 | 0 | 24 | 16 | 368 | 4 | 0 | 0 | 0 | 0 | 305.3 | |
| 60 | Ken O'Brien | 9/21/1986 | nyj | mia | 43 | 29 | 479 | 4 | 1 | 1 | 8 | 0 | 44 | 31 | 474 | 4 | 1 | 1 | 8 | 0 | 305.8 | |
| 59 | John Brodie | 11/8/1970 | sfo | chi | 28 | 21 | 317 | 3 | 0 | 0 | 0 | 0 | 34 | 30 | 391 | 3 | 0 | 0 | 0 | 0 | 306.0 | |
| 58 | Fran Tarkenton | 11/19/1972 | min | ram | 28 | 14 | 319 | 4 | 0 | 1 | 9 | 0 | 37 | 21 | 423 | 5 | 0 | 1 | 7 | 0 | 306.5 | |
| 57 | Wade Wilson | 12/13/1992 | atl | tam | 26 | 19 | 324 | 5 | 0 | 2 | 9 | 0 | 29 | 21 | 353 | 6 | 0 | 2 | 9 | 0 | 306.6 | |
| 56 | Tom Brady | 10/18/2009 | nwe | oti | 34 | 29 | 380 | 6 | 0 | 0 | 0 | 0 | 34 | 28 | 366 | 6 | 0 | 0 | 0 | 0 | 309.3 | |
| 55 | Roger Staubach | 12/16/1973 | dal | crd | 19 | 14 | 256 | 3 | 0 | 5 | 30 | 0 | 26 | 21 | 359 | 4 | 0 | 4 | 23 | 0 | 309.3 | |
| 54 | Ben Roethlisberger | 12/20/2009 | pit | gnb | 46 | 29 | 503 | 3 | 0 | 1 | 7 | 0 | 45 | 28 | 484 | 3 | 0 | 1 | 7 | 0 | 309.4 | |
| 53 | Steve Young | 10/18/1992 | sfo | atl | 28 | 18 | 399 | 3 | 1 | 2 | 28 | 0 | 31 | 20 | 434 | 3 | 1 | 2 | 29 | 0 | 309.4 | |
| 52 | Donovan McNabb | 9/23/2007 | phi | det | 26 | 21 | 381 | 4 | 0 | 3 | 7 | 0 | 26 | 20 | 373 | 4 | 0 | 3 | 7 | 0 | 309.8 | |
| 51 | Dan Fouts | 9/26/1976 | sdg | crd | 18 | 15 | 259 | 4 | 0 | 1 | 4 | 0 | 23 | 21 | 334 | 5 | 0 | 1 | 3 | 0 | 314.7 | |
| 50 | Roger Staubach | 9/30/1973 | dal | crd | 22 | 17 | 276 | 2 | 0 | 3 | 15 | 1 | 30 | 26 | 387 | 3 | 0 | 2 | 12 | 1 | 315.4 | |
| 49 | Fran Tarkenton | 12/1/1974 | min | nor | 29 | 20 | 317 | 3 | 0 | 1 | 6 | 0 | 36 | 28 | 413 | 4 | 0 | 1 | 5 | 0 | 315.7 | |
| 48 | Peyton Manning | 9/25/2000 | clt | jax | 36 | 23 | 440 | 4 | 0 | 6 | 4 | 0 | 36 | 23 | 443 | 4 | 0 | 6 | 4 | 0 | 316.0 | |
| 47 | Drew Brees | 11/30/2009 | nor | nwe | 23 | 18 | 371 | 5 | 0 | 1 | -1 | 0 | 23 | 17 | 357 | 5 | 0 | 1 | -1 | 0 | 318.1 | |
| 46 | Terry Bradshaw | 11/13/1977 | pit | cle | 21 | 13 | 283 | 3 | 0 | 0 | 0 | 0 | 28 | 20 | 390 | 4 | 0 | 0 | 0 | 0 | 320.0 | |
| 45 | Tom Brady | 10/21/2007 | nwe | mia | 25 | 21 | 354 | 6 | 0 | 0 | 0 | 0 | 25 | 20 | 347 | 6 | 0 | 0 | 0 | 0 | 320.3 | |
| 44 | Phil Simms | 9/2/1984 | nyg | phi | 30 | 23 | 409 | 4 | 0 | 6 | 20 | 0 | 31 | 25 | 401 | 4 | 0 | 5 | 18 | 0 | 320.5 | |
| 43 | Tommy Kramer | 12/14/1980 | min | cle | 49 | 38 | 456 | 4 | 0 | 2 | 11 | 0 | 53 | 43 | 476 | 4 | 0 | 2 | 10 | 0 | 322.3 | |
| 42 | Ken Stabler | 10/10/1976 | rai | sdg | 26 | 20 | 339 | 3 | 1 | 0 | 0 | 0 | 33 | 28 | 437 | 4 | 1 | 0 | 0 | 0 | 323.1 | |
| 41 | Ken Stabler | 10/28/1973 | rai | clt | 29 | 25 | 304 | 2 | 0 | 3 | 8 | 0 | 39 | 38 | 426 | 3 | 0 | 2 | 6 | 0 | 324.1 | |
| 40 | Ken Anderson | 12/16/1973 | cin | oti | 23 | 15 | 293 | 3 | 0 | 3 | 12 | 0 | 31 | 23 | 411 | 4 | 0 | 2 | 9 | 0 | 325.8 | |
| 39 | Roman Gabriel | 10/14/1973 | phi | crd | 45 | 29 | 379 | 3 | 0 | 0 | 0 | 0 | 61 | 44 | 532 | 4 | 0 | 0 | 0 | 0 | 326.0 | |
| 38 | Kurt Warner | 10/1/2000 | ram | sdg | 30 | 24 | 390 | 4 | 0 | 1 | 6 | 0 | 30 | 24 | 393 | 4 | 0 | 1 | 6 | 0 | 326.5 | |
| 37 | Peyton Manning | 1/9/2005 | clt | den | 33 | 27 | 458 | 4 | 1 | 1 | 1 | 1 | 34 | 27 | 455 | 4 | 1 | 1 | 1 | 1 | 327.5 | |
| 36 | Charley Johnson | 11/18/1974 | den | kan | 42 | 28 | 445 | 2 | 2 | 0 | 0 | 0 | 52 | 39 | 580 | 3 | 2 | 0 | 0 | 0 | 328.1 | |
| 35 | Steve Young | 9/13/1992 | sfo | buf | 37 | 26 | 449 | 3 | 1 | 7 | 50 | 0 | 41 | 29 | 489 | 3 | 1 | 7 | 51 | 0 | 328.1 | |
| 34 | Steve Young | 12/19/1993 | sfo | det | 23 | 17 | 354 | 4 | 0 | 3 | 19 | 0 | 24 | 18 | 367 | 5 | 0 | 3 | 19 | 0 | 328.8 | |
| 33 | Tommy Kramer | 11/2/1986 | min | was | 35 | 20 | 490 | 4 | 1 | 3 | 8 | 0 | 36 | 22 | 485 | 4 | 1 | 3 | 8 | 0 | 329.1 | |
| 32 | Jim Zorn | 11/18/1979 | sea | nor | 33 | 24 | 384 | 4 | 0 | 3 | 1 | 0 | 37 | 30 | 431 | 4 | 0 | 2 | 1 | 0 | 330.3 | |
| 31 | Ken Anderson | 11/17/1975 | cin | buf | 46 | 30 | 447 | 2 | 0 | 6 | 8 | 0 | 55 | 40 | 546 | 2 | 0 | 5 | 6 | 0 | 332.0 | |
| 30 | Joe Ferguson | 9/23/1979 | buf | nyj | 30 | 19 | 367 | 5 | 0 | 0 | 0 | 0 | 34 | 23 | 412 | 5 | 0 | 0 | 0 | 0 | 333.2 | |
| 29 | Donovan McNabb | 12/5/2004 | phi | gnb | 43 | 32 | 464 | 5 | 0 | 0 | 0 | 0 | 44 | 32 | 461 | 5 | 0 | 0 | 0 | 0 | 333.7 | |
| 28 | James Harris | 10/20/1974 | ram | sfo | 15 | 12 | 276 | 3 | 0 | 9 | 23 | 1 | 19 | 17 | 360 | 4 | 0 | 7 | 19 | 1 | 334.7 | |
| 27 | Roger Staubach | 9/26/1976 | dal | clt | 28 | 22 | 339 | 2 | 0 | 1 | 2 | 0 | 35 | 31 | 437 | 2 | 0 | 1 | 1 | 0 | 335.4 | |
| 26 | Vinny Testaverde | 9/13/1992 | tam | gnb | 25 | 22 | 363 | 2 | 0 | 2 | 18 | 1 | 27 | 25 | 395 | 2 | 0 | 2 | 18 | 1 | 337.1 | |
| 25 | Steve Grogan | 10/29/1978 | nwe | nyj | 19 | 15 | 281 | 4 | 0 | 3 | 32 | 0 | 24 | 21 | 354 | 5 | 0 | 2 | 25 | 0 | 337.4 | |
| 24 | Brett Favre | 12/22/2003 | gnb | rai | 30 | 22 | 399 | 4 | 0 | 0 | 0 | 0 | 31 | 22 | 417 | 4 | 0 | 0 | 0 | 0 | 339.0 | |
| 23 | Steve McNair | 10/12/2003 | oti | htx | 27 | 18 | 421 | 3 | 0 | 5 | 2 | 0 | 28 | 18 | 440 | 3 | 0 | 5 | 2 | 0 | 339.5 | |
| 22 | Dan Fouts | 11/3/1974 | sdg | cle | 21 | 12 | 333 | 4 | 1 | 7 | 24 | 0 | 26 | 17 | 434 | 5 | 1 | 6 | 20 | 0 | 339.5 | |
| 21 | Randall Cunningham | 10/5/1998 | min | gnb | 32 | 20 | 442 | 4 | 0 | 2 | -1 | 0 | 33 | 21 | 447 | 4 | 0 | 2 | -1 | 0 | 340.0 | |
| 20 | Ken Stabler | 10/22/1973 | rai | den | 24 | 16 | 313 | 2 | 0 | 4 | 34 | 0 | 32 | 24 | 439 | 3 | 0 | 3 | 27 | 0 | 340.8 | |
| 19 | Boomer Esiason | 12/21/1986 | cin | nyj | 30 | 23 | 425 | 5 | 1 | 5 | 45 | 0 | 31 | 25 | 421 | 5 | 1 | 5 | 43 | 0 | 340.9 | |
| 18 | Boomer Esiason | 10/7/1990 | cin | ram | 45 | 31 | 490 | 3 | 0 | 2 | 0 | 0 | 49 | 35 | 518 | 3 | 0 | 2 | 0 | 0 | 343.1 | |
| 17 | Fran Tarkenton | 10/25/1970 | nyg | crd | 18 | 15 | 280 | 5 | 0 | 3 | 18 | 0 | 22 | 21 | 346 | 6 | 0 | 3 | 17 | 0 | 343.4 | |
| 16 | Brian Sipe | 11/19/1978 | cle | clt | 22 | 15 | 309 | 4 | 0 | 1 | 19 | 0 | 27 | 21 | 389 | 5 | 0 | 1 | 15 | 0 | 345.4 | |
| 15 | Gary Danielson | 12/9/1978 | det | min | 33 | 26 | 352 | 5 | 1 | 1 | 15 | 0 | 41 | 36 | 443 | 6 | 1 | 1 | 12 | 0 | 345.9 | |
| 14 | Bert Jones | 12/18/1977 | clt | nwe | 30 | 19 | 340 | 3 | 0 | 8 | 42 | 0 | 40 | 29 | 469 | 4 | 0 | 6 | 33 | 0 | 353.1 | |
| 13 | Steve Grogan | 9/9/1979 | nwe | nyj | 18 | 13 | 315 | 5 | 0 | 2 | 38 | 0 | 20 | 16 | 354 | 5 | 0 | 2 | 32 | 0 | 353.3 | |
| 12 | Peyton Manning | 1/4/2004 | clt | den | 26 | 22 | 377 | 5 | 0 | 1 | 0 | 0 | 27 | 22 | 394 | 5 | 0 | 1 | 0 | 0 | 354.3 | |
| 11 | Ken O'Brien | 11/2/1986 | nyj | sea | 32 | 26 | 431 | 4 | 0 | 1 | 5 | 0 | 33 | 28 | 427 | 4 | 0 | 1 | 5 | 0 | 354.7 | |
| 10 | Ken Anderson | 11/3/1974 | cin | clt | 21 | 17 | 297 | 3 | 0 | 6 | 62 | 0 | 26 | 24 | 387 | 4 | 0 | 5 | 52 | 0 | 357.1 | |
| 9 | Charley Johnson | 10/22/1972 | den | rai | 28 | 20 | 361 | 2 | 0 | 1 | 0 | 0 | 37 | 30 | 478 | 2 | 0 | 1 | 0 | 0 | 357.4 | |
| 8 | Warren Moon | 12/16/1990 | oti | kan | 45 | 27 | 527 | 3 | 0 | 4 | 2 | 0 | 49 | 31 | 557 | 3 | 0 | 4 | 2 | 0 | 359.7 | |
| 7 | Steve Young | 11/28/1993 | sfo | ram | 32 | 26 | 462 | 4 | 1 | 2 | 3 | 0 | 33 | 27 | 480 | 5 | 1 | 2 | 3 | 0 | 360.6 | |
| 6 | John Hadl | 10/31/1971 | sdg | nyj | 27 | 19 | 358 | 4 | 1 | 3 | 38 | 1 | 34 | 28 | 461 | 5 | 1 | 3 | 33 | 1 | 376.9 | |
| 5 | Richard Todd | 10/23/1977 | nyj | rai | 29 | 17 | 396 | 4 | 2 | 1 | 5 | 0 | 38 | 26 | 546 | 5 | 1 | 1 | 4 | 0 | 378.2 | |
| 4 | Craig Morton | 12/20/1970 | dal | oti | 17 | 13 | 349 | 5 | 1 | 1 | 0 | 0 | 21 | 18 | 431 | 6 | 1 | 1 | 0 | 0 | 386.6 | |
| 3 | Mark Rypien | 11/10/1991 | was | atl | 31 | 16 | 442 | 6 | 0 | 1 | 4 | 1 | 33 | 17 | 461 | 7 | 0 | 1 | 4 | 1 | 394.4 | |
| 2 | James Harris | 10/3/1976 | ram | mia | 29 | 17 | 436 | 2 | 1 | 6 | 29 | 1 | 36 | 24 | 562 | 2 | 1 | 5 | 22 | 1 | 394.8 | |
| 1 | Joe Namath | 9/24/1972 | nyj | clt | 28 | 15 | 496 | 6 | 1 | 1 | 1 | 0 | 37 | 23 | 657 | 7 | 1 | 1 | 1 | 0 | 532.3 | |
The next logical step would be to adjust for the strength of the opponent, which I imagine will make a difference but probably won't change Namath's spot atop the list (Baltimore was actually an above-average pass D when he torched them in '72).
This entry was posted on Friday, September 3rd, 2010 at 9:31 am and is filed under Best/Worst Ever, History, Quarterbacks, Statgeekery. You can follow any responses to this entry through the RSS 2.0 feed. Both comments and pings are currently closed.

Ha, ironic this comes up just after the e-mail I sent about something I've been working on for opponent adjustments for passing numbers.
I plugged that Namath game in, and wow, that blows away anything I've seen so far. Of course I'm working on a limited sample and don't have 40 years to go off of. The highest game I've previously seen was Brady's game in Miami in 2007. You have it ranked 45th here.
Did the #2 ranked James Harris game out of curiosity, and yeah, I think you'll find adjusting for opponent makes a huge difference. The 76 Dolphins were very poor on pass defense.
Though that's a 395 and Namath's game was 532. I'm not sure anything will prevent it from being the top stat game since 1970.
Wow, weird coincidence... I assume you sent emails to Doug, because I see everything that comes through the main site channels. How do you make the adjustment, is it iterative?
Btw, here's a link to some video from that Namath game:
http://www.youtube.com/watch?v=tUaAByPmToU
Unitas also had 262.1 YAR in the same game, which was the 174th-best total since 1970.
Nah, no need for iterations. Simple math. Actually, it's in the same ballpark with what Chase was doing with 2009 RBs in a recent blog post. Easier though, since we don't have to create any GRADE rating for QBs since a composite stat already exists. I did a few seasons with it months ago, completely forgot about it, then came back to it recently and have since been compiling the data for guys like Montana, Marino, Elway, Favre, Brady, Manning, Brees, etc.
And I think if you can adjust for opponent, then you don't have to adjust for era as it's already been taken care of. I've never been a fan of normalizing sports stats. It might be interesting to some to think of Namath's game as a modern 657 yards/7 TD performance, but I don't think it's very useful. 90 years of NFL football and no one's really come close to having a game like that. No one has yet to beat out Norm Van Brocklin's 554 yards from over 50 years ago. All the great QBs and passing offenses that have come along since the merger, and none of them have thrown 7 TDs since Joe Kapp did it in 1969. Seriously, Joe Kapp can throw 7 TDs against a Colts team that was in between Super Bowl seasons?
Good point about the SOS adjustment essentially removing the middleman of doing an era adjustment.
I would think of the normalizing process less like "here's what Namath would do today" and more like "relative to his era, his 496 yards in 1972 were as valuable as 657 would be today". Do you see the distinction? One is talking about ability ("Namath had the talent to throw for 657/7 in today's conditions") and involves building a theoretical time machine to transport Broadway Joe into the future; the other simply makes a value conversion, like we'd adjust money for inflation. Because all else being equal, 1 passing yard back then contributed more to a win than it does today.
More from that Namath-Unitas showdown:
The one that jumps out at me is Craig Morton at No. 4. Five touchdowns and 349 yards -- on only 17 attempts? Only four incompletions?
Then I looked up the box score:
http://www.pro-football-reference.com/boxscores/197012200dal.htm
The real star wasn't Morton, it was Bob Hayes. Six catches, 187 yards, 31.2 yards per catch, and four touchdowns (of 38, 38, 15, and 59 yards). The Cowboys threw seven incompletions on the day (Roger Staubach went 2-for-5). If every single incomplete pass was thrown Hayes' way, he still averaged 14.4 yards per target. No idea what opponent adjustments would do (Houston won only three games that year) but still...
Namath vs the Colts in 1972-
20 completions
44 attempts
724 yards
16.45 yards per attempt
36.2 yards per completion
8 touchdowns
4 interceptions
One thing era-adjusting does wrongfully--back in the 60's & 70's, teams threw less frequently, leading to smaller sample sizes for passing--which hyper-inflates some games (Namath's was ridiculous in whatever era you put it in). They also threw higher risk and longer passes, which means you have a great chance for a GREAT day--or a HORRIBLE one. Teams/QB's today use short passes like the 60's/70's teams used the run--with much better results.
Once FO gets more game logs into their system (they go backward about 1 year per calendar year), it will be interesting if these numbers hold up. Not doubting your regression, Neil, but FO gives bonus YAR for FIRST DOWNS--meaning more completions, probably more first downs--and more "bonus" YAR. They also give "bonus" YAR for TD's--which are more prevalent now. BTW, I expect some of those games in your top group to go down because of this--as well as the penalty for incompletes/interceptions.
#9 Has a point. The list is very slanted towards the early days. If you consider a pass attempt as a weighted coinflip, in a huge sample size (all post-merger games), some games are bound to come out fantastic. Since Namath and his colleagues were gamblers, they'll also have the better games and probably also the worse games - especially as measured in INTs.
Dear Neil,
We already know that your method of normalizing stats to the modern era skews those stats heavily in favor of the old-time QBs. You've described your own method as a "monstrosity"---which is why I don't know why you continue to use it time and again.
The links that you've pointed us in Football Outsiders clearly state that DYAR (ditto for YAR) cannot be figured out prior to 1993 because it requires knowing the result of every play from the games. You claim that you have come up with a formula for overcoming this problem, but I don't see Football Outsiders or anyone else pounding on your door in an effort to obtain this formula which would revolutionize football statistics and make you a very rich man.
All of this aside, if I'm just an ordinary fan trying to interpret your chart (which I understand that you cannot be blamed for as it is a product of FO), there is a part of it that I just don't understand. Let's take a post-1993 game---No. 12---Peyton Manning's 1-4-2004 game vs. Denver. Manning had 377 passing yards in the game. You and/or FO give him credit for 354 YAR. What this is saying to me (the ordinary fan) is that Manning's replacement(Jay Sorgi or whoever) would have had only 23 yards passing? It doesn't make any sense--- seeing as FO tell us that an average replacement QB is only 12.5% less effective (valuable) than an average starting QB in the NFL---which means that whoever would be the replacement for Manning in this game would be expected to throw for around 330 yards (if both Manning and his replacement were "average"). Now, admittedly, Manning is much better than an average starting QB and I don't know how either you or FO gage abstract factors like "effectiveness" or "value" (I have to guess here) nor do I know what types of bonuses or penalties are given out for TD passes, INTs, etc., by FO, but 23 yards for a replacement QB just doesn't add up no matter how you dice it. To me, Manning (if he was "average") should receive about 47 YAR for his effort---and that all depends on whether or not FO's 12.5% figure is correct---which we can't tell because it is arbitrary.
Any of us can and often do make mistakes. But to continue to make the same mistake over and over again---after admitting your mistake---then it becomes a "monstrosity".
Dear Clark,
Stop taking what I (and others) said out of context. The "monstrosity" was a joking reference to a 4,000-word essay about quarterbacks, and for the record it used a totally different set of weights when determining value over replacement. Try to get it right next time before you rip somebody's work.
Also, the "yards over replacement" concept doesn't strictly compare to raw passing yards; instead, it compares to the value in field position created by a player's performance.
Adjusting for era seems pretty useless for an individual game. Who cares what passing yards were worth in the 1970's as a whole when looking at one game in which the ball was simply thrown all over the place? I realize that we should account for significant rules changes that impacted passing, but such efforts seem sloppy at best when applied to individual games.
Adjusting individual games may seem impractical if what you are expecting to see is what that game would be today, like what Neil said in #5. It's simply an attempt to try to account for the context in which a performance was achieved.
Without adjusting for era, you have no benchmarks for comparison ... it would be something like guessing the value of cars in 1945 vs. cars in 2005 by comparing sticker prices. Namath's game was pretty good, but how does it compare to Brady's 10/21/2007 game or Blanda's 11/19/1961 game (which is out of the range of this exercise)?
Era-adjusted numbers don't provide the answer, but they can make a suggestion.
Something I think needs no adjusting for anything (at least for 1970-present) would be the QB's rushing numbers. Most QB runs are scrambles on broken pass plays. Then you have the QB sneak, which is a minimal gain play. The scrambling QBs typically have pretty high career YPC's, which would be even higher if not for kneel down plays.
So if a guy like Roger Staubach has 5 rushes for 30 yards in the 70's, I think that's exactly the same as a guy like Aaron Rodgers having 5 rushes for 30 yards in 2009. I wouldn't bother adjusting any of that.
But what do the passing numbers of the 1970s, as a whole, tell me about the passing numbers of a given game in 1972? Maybe the passing game was radically different back then, but if the Colts and Jets lined up and said, "Ya know what, let's just sling the ball around all day," then it doesn't matter any more. I see no evidence that the era-adjustments work for individual games.
To use the car analogy, what happens if some dope paid $50 grand for a car in 1970 that wasn't worth it? Would that mean the same car was worth millions nowadays? No, it would simply mean that individual circumstance wasn't representative of the era as a whole.
Reply to No. 12
Dear Neil,
I wouldn't make up such jokes if I were you. I took your words very seriously---because I took your "100 Best QBs" srticle very seriously and based much of my own research on "wins above average" on your results which I found fascinating although I little understood or agreed with your math. I have quoted and praised your results many times and you can imagine how I felt when you told us that your research was a "flawed monstrosity" which, in turn, made my own research results flawed.
That said, your chart, or similar ones found in FO, doesn't mention anything about "value in field position"---it just mentions YAR. The links that you provide don't mention where or how 354 YAR for Manning comes from. It is just a figure standing there alone and the hapless reader is left to his own thoughts trying to figure it out. Furthermore, as I understand the concept of "value" as used by FO, they include it in a different metric---DVOA or VOA---which is the metric that they use in place of passer rating.
I saw Namath's game vs. Unitas in 1972. Neither team had any defense and the receivers were running wild. It was a very enjoyable, much remembered, but meaningless game. It doesn't have to be hyped up with a lot of nonscence about replacement level stats. I don't know why FO tries to impose this type of metric upon us fans as no one understands, yet alone cares, about some mythical replacement level QB. Why don't we use real stats in these studies?
Hey Clark, it sounds to me like you have chosen not to read Football Outsiders detailed information on how they come to their numbers (http://www.footballoutsiders.com/info/methods). Neil can't be on the hook for your lack of desire to delve further into the FO stats.
You state, "I don't know why FO tries to impose this type of metric upon us fans as no one understands, yet alone cares". You speak for all fans? It sounds to me that you have a vendetta against FO and Neil - what is your actual issue with Neil's research? Do you even have a legit issue or are you just being emotional?
You ask, "Why don't we use real stats in these studies?" The POINT of DVOA is that it allows you to determine the value of each play. Tom Brady had a monster game against the Titans last year - but was the value of each play against a mediocre team?
Traditional stats show the total quantity but not the value of each play as compared to the opponent.
Why not make it simple, and use the same formula you applied in the GQBOAT series? For each game, it would be (AY/A - LgAvg AY/A)*attempts.
For Namath's game, it would be (20.39 - 5.3)*28 = 422.6 yards over average.
"You and/or FO give him credit for 354 YAR. What this is saying to me (the ordinary fan) is that Manning's replacement(Jay Sorgi or whoever) would have had only 23 yards passing?"
This is the reason I wish FO had stuck to DPAR. Points work OK as a fundamental unit, but yards don't: they require context (in particular, downs) to be interpreted properly. A 354 DYAR performance from Manning doesn't mean he's thrown for 100 yards more than you'd expect from a replacement. More likely, he's thrown 250 yards further with an extra 12 completions and an extra 5 touchdowns, or something like that.
#20 - Yes, for better or worse, that's definitely true. Take the case of that Manning game vs. Denver (22-27, 394 Yds, 5 TD, 0 Int)... If we hold Cmp%, TD%, & Int% at the league-average rates, a replacement-level performance in 27 attempts would be about 147 yards, or 5.4 YPA (20% worse than the league average). But if he doesn't throw any TDs, for instance, he'd have to offset it with 15 more passing yards to stay at replacement level; likewise, if he threw no picks he could throw for 109 yards (4.0 YPA) and still be right at the replacement level.
In other words, the value added by YAR takes into account more than just raw passing yards; it also values the points created by TDs, the field position lost with INTs, and the extra value of first downs that completions contribute to above and beyond the yardage gained. Like Bradluen alluded to, if the replacement-level QB is about 12.3% worse than average in all categories, then Manning didn't just throw for more yards -- he threw for 9 more completions, 236 more yards, 4 more TDs, and 1 fewer pick than a replacement would have.
As a long time Patriots fan, I was really surprised to see Steve Grogan on the list TWICE!!!
All of these performances (#s 1-100) were indeed ones for the ages. But it would be nice to be able to discern between games that were blowouts versus games that were in doubt for most of the contest, just for curiosity’s sake. Dick Shiner’s performance (#87) in 1973 came in a 62-7 rout over New Orleans. Similarly, Fran Tarkenton’s 18 of 24 day in 1974 (#77) came in a 51-10 thrashing over a Houston team that was so bad the game was never televised.
But Tarkenton had, in my judgment, an even better day (#80) against Washington in 1975 in a seesaw battle, a 31-30 loss coming on the last play of the game (a missed FG by Fred Cox). His numbers in that game were impressive enough (27 of 37 for 357 yards), but given that the game was such a nail biter I look back on that outing as more impressive when factoring in “pressure situations.”
Also, in adjusting for opponents (or top-ranked defenses) I fear that it might overinflate someone’s stats or severely deflate another’s. The 1972 game between the Rams and Vikings had both defenses ranked at the top of the NFC prior to their Week 10 game, a 45-41 “javelin contest” between Tarkenton and Roman Gabriel. But there were so many blown assignments on defense for both clubs that day and sometimes that happens in football – and thus enables some of these outings to make the list. The Namath game against Baltimore in ’72 was extraordinary no matter how you slice it. But it would be nice to put some context to some of the one-sided affairs.
By the way, the Mark Rypien game (#3) has got to be an all-time high for any fantasy football league.
Interesting: Quarterbacks with 3+ games in the top 100:
1-Fran Tarkenton 6
2-Peyton Manning 5
3t-Donovan McNabb 4
3t-Kurt Warner 4
3t-Steve Young 4
6t-Ken Anderson 3
6t-Dan Fouts 3
6t-Dan Marino 3
6t-Ken Stabler 3
6t-Roger Staubach 3
It's interesting that Sonny Jurgensen, John Elway and Johnny Unitas didn't made the cut, and that Joe Montana only had one game in the top 100.
Jurgensen and Unitas are clearly affected by the 1970 cutoff date. By that point, both were already on the downside of their careers, and while both started for almost all of the 1970 season, neither of them started more than five games in a year after that. If the years prior to the merger were included, I'd think they'd both appear on the list at least once (Both have a few games in the 60s that look like they'd fit on the list, and Unitas may have one or two back in the 50s as well).
However, the lack of Elway is somewhat suprising, as is Montana only appearing once. I'd have thought his 6 TD, 472 yard game vs the Falcons in 1990 would have at least cracked the Top 100.
I noticed Jim Kelly is on the list only once, and not in the top 90. Maybe Kelly was a bit overrated, because he rarely ever shows up prominently in lists of quarterbacks.
It made me wonder.... of all the quarterbacks in the Hall of Fame, which ones, everybody in their prime, would Kelly start ahead of if on the same team? I'm thinking maybe Aikman, but not sure.
"However, the lack of Elway is somewhat suprising"
I actually don't think that's surprising at all. Elway was a great quarterback, but a mediocre PASSER. His career ANY/A+ was only 106, slightly above league average. He only had one 4000 yard season and never threw more than 27 TD's in a season.
I think if you adjusted for opponent, Staubach would probably appear the most times (keeping the post-1970 theme). The 70's were the toughest decade to pass in for the modern era and he had some huge games for that time.
I did a little homework to answer my question above about where Jim Kelly fits in among Hall of Fame quarterbacks. By my count, there are 25 Hall of Famers who were primarily quarterbacks. There were a handful more who played numerous positions, including quarterback. I did my best to isolate the "just quarterbacks" from the "also quarterbacks".
For each of the components that makes up the passer rating (completion percentage, yards per attempt, touchdown percentage, and interception percentage), I ranked each of these 25 HOF QBs from 1 (best) to 25 (worst).
Here were the results:
COMPLETION PERCENTAGE: 1.Young 2.Montana 3.Aikman 4.Kelly 5.Marino 6.Fouts 7.Moon 8.Starr 9.Dawson 10.Jurgenson 11.Tarkenton 12.Staubach 13.Elway 14.Baugh 15.Griese 16.Graham 17.Tittle 18.Unitas 19.VanBrocklin 20.Bradshaw 21.Luckman 22.Waterfield 23.Namath 24.Layne 25.Blanda
YARDS PER ATTEMPT: 1.Graham 2.Luckman 3.VanBrocklin 4.Young 5.Starr 6.Unitas 7.Fouts 8.Dawson 9.Staubach 10.Jurgenson 11.Tittle 12.Montana 13.Kelly 14.Namath 15.Marino 16.Waterfield 17.Griese 18.Baugh 19.Tarkenton 20.Layne 21.Moon 22.Bradshaw 23.Elway 24.Aikman 25.Blanda
TOUCHDOWN PERCENTAGE: 1.Luckman 2.Graham 3.Dawson 4.Baugh 5.Waterfield 6.Jurgenson 7.VanBrocklin 8.Blanda 9.Griese 10.Unitas 11.Young 12.Tittle 13.Bradshaw 14.Layne 15.Tarkenton 16.Staubach 17.Montana 18.Marino 19.Kelly 20.Starr 21.Namath 22.Fouts 23.Moon 24.Elway 25.Aikman
INTERCEPTION PERCENTAGE (low to high): 1.Montana 2.Young 3.Aikman 4.Marino 5.Elway 6.Moon 7.Kelly 8.Staubach 9.Tarkenton 10.Fouts 11.Starr 12.Jurgenson 13.Unitas 14.Dawson 15.Griese 16.Graham 17.Bradshaw 18.Tittle 19.Namath 20.VanBrocklin 21.Layne 22.Baugh 23.Blanda 24.Luckman 25.Waterfield
TOTAL OF THE FOUR RANKINGS: 1.Young(18) 2.Montana(32) 3.Dawson(34) 4.Graham(35) 5.Jurgenson(38) 6.Marino(42) 7.Kelly(43) 8.Starr(44) 9.Staubach(45) 10.Fouts(45) 11.Unitas(47) 12.Luckman(48) 13.VanBrocklin(49) 14.Tarkenton(54) 15.Aikman(55) 16.Griese(56) 17.Moon(57) 18.Tittle(58) 19.Baugh(58) 20.Elway(65) 21.Waterfield(68) 22.Bradshaw(72) 23.Namath(77) 24.Layne(79) 25.Blanda(81)
Note that I used regular season stats for this study.
While this is a fairly quick and dirty methodology, a safe conclusion that I drew from the results surprised me a little. The conclusion is that Jim Kelly actually belongs in the Hall of Fame, at least insomuch as his numbers compared favorably with his bronze busted compatriots.
To answer my question from before, based on this data, Kelly would probably start over a large percentage of other HOF QBs. Very interesting.
When I read this discussion, I think of a quote Einstein had regarding measurement of difficult concepts and ideas: "Not everything that counts can be counted, and not everything that can be counted, counts."
Regarding post # 25, yes I would think a performance like that would make the list!
I'm sure Namath would have a few contend for the worst game as well.
How about this one on 10/19/75 vs. MIA?
8/24 for 96 yards, 0 TDs, 6 INTs
Hey Bill, here's an answer for you from an old Steeler and Terry Bradshaw fan. I would have welcomed your guy (Jim Kelly) to QB the Steelers in place of Bradshaw. Like you said, you were giving us nothing but Passer stats and only from the Reg. season. Now, once the PO's started, then Jim would have had to grab the clipboard and put on his baseball cap and let Terry take-over. I'd rather have the better Quarterback in there in the PO's. Although I'll say this for Kelly-I rank him higher as a Quarterback than as a Passer. Plus, I give him a lot of extra credit for leading not just 1, but 2 Teams to a Super Bowl that were ranked next to last on Defense. That is double amazing. But it is a team game, and that bad Defense had an Offense to help it.
31. Whoa, yeah, at -222.0 that's definitely one of the worst on record (36th-worst, to be exact). #1 on the "worst" list? Our old standby Kim McQuilken, whose 5-26, 0 TD, 5 INT, 43-yard performance vs. Minnesota on 11/9/1975 garnered him -284.2 eYAR. Btw, #2 on that list was Kyle Orton's 17-for-39, 149-yard, 0 TD, 5 INT game against Cincy on 9/25/2005... Proof that you can have a catastrophic game and still eventually become a half-decent QB.
I can't believe I'm saying this, but in defense of Kim McQuilken and his 1975 outing against Minnesota he had two things going against him: The Viking defense was first in passing yards allowed, first in net passing yards per attempt, third in interceptions, and third in points given up. The weather was also a factor on that day. It was a steady downpour that worsened as the game went on. A day later and a couple hundred miles northeast the Edmund Fitzgerald sunk in Lake Superior.
Michael vick has just earned the number one spot
I worked Vick's raw total last night to be 307.15
I'd like to see his corrected and uncorrected rankings, can someone figure where he would fall in the 2 top 100 lists?
I worked Vicks numbers from last night to be 307.15 as well. Believe it speaks to a flaw in the ERYAR, because of the following reasoning. A Qb is not a RB and many Qb rush attempts are the result of broken plays, coverage, et cetera. If the QB decides Running the ball is the best option, then the formula should simply place the same weight on every element, counting the play as a completion, and substituting fumbles for interceptions. Otherwise the formula would have to count loss yardage on sacks as running plays with negative resulting yards, because the alternative to being tackled while holding the ball in your hand is apparently giving the ball to the running back. This is lazy and unimpressive. I am a NY Giants fan and I believe that on a properly weighted basis that Vick had one of the 10 best games ever by a QB last night; it was totally cool to watch
I ran the numbers just now... Adjusted for era only, Vick would have 278.6 EYAR, barely missing the top 100. Adjusting for opponent, he would have 221.5 EYAR, which is nowhere near the top 100. Obviously with only 9 games in the season, Washington's poor defensive numbers are especially influenced by Vick torching them -- but even so, Vick's performance was not one of the very best ever. It was great, no doubt, but not quite as great as some people are making it out to be today.
QB rushing EYAR, btw, is based only on QB data from football outsiders. So it wouldn't be applying RB standards to QB rushing numbers, it would be applying QB standards.