First, I need to introduce a way of adjusting ANY/A for era: Relative ANY/A. Relative ANY/A is simply equal to:
QB_ANY/A – LgAvg_ANY/A
The table below lists the 30 single-season leaders in Relative ANY/A since the merger. You won’t be too surprised to see the 2004 version of Peyton Manning at the top. That year, Manning averaged 9.8 ANY/A, while the league average was just 5.6 ANY/A. That means Manning gets a Relative ANY/A grade of +4.1 (with the difference due to rounding).
Rk | Player | Year | Age | Team | G | GS | Cmp | Att | Yds | TD | Int | Sk | SkYd | ANY/A | LgAvgANY/A | Rel_ANY/A |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1. | Peyton Manning | 2004 | 28 | clt | 16 | 16 | 336 | 497 | 4557 | 49 | 10 | 13 | 101 | 9.8 | 5.6 | +4.1 |
2. | Dan Marino | 1984 | 23 | mia | 16 | 16 | 362 | 564 | 5084 | 48 | 17 | 13 | 120 | 8.9 | 5.0 | +3.9 |
3. | Roger Staubach | 1971 | 29 | dal | 13 | 10 | 126 | 211 | 1882 | 15 | 4 | 23 | 175 | 7.8 | 3.9 | +3.9 |
4. | Bert Jones | 1976 | 25 | clt | 14 | 14 | 207 | 343 | 3104 | 24 | 9 | 29 | 284 | 7.8 | 4.1 | +3.7 |
5. | Aaron Rodgers | 2011 | 28 | gnb | 15 | 15 | 343 | 502 | 4643 | 45 | 6 | 36 | 219 | 9.4 | 5.9 | +3.5 |
6. | Ken Stabler | 1976 | 31 | rai | 12 | 12 | 194 | 291 | 2737 | 27 | 17 | 19 | 203 | 7.4 | 4.1 | +3.4 |
7. | John Brodie | 1970 | 35 | sfo | 14 | 14 | 223 | 378 | 2941 | 24 | 10 | 8 | 67 | 7.5 | 4.2 | +3.4 |
8. | Tom Brady | 2007 | 30 | nwe | 16 | 16 | 398 | 578 | 4806 | 50 | 8 | 21 | 128 | 8.9 | 5.5 | +3.4 |
9. | Randall Cunningham | 1998 | 35 | min | 15 | 14 | 259 | 425 | 3704 | 34 | 10 | 20 | 132 | 8.5 | 5.3 | +3.2 |
10. | Steve Young | 1992 | 31 | sfo | 16 | 16 | 268 | 402 | 3465 | 25 | 7 | 29 | 152 | 8.1 | 4.9 | +3.2 |
11. | Mark Rypien | 1991 | 29 | was | 16 | 16 | 249 | 421 | 3564 | 28 | 11 | 7 | 59 | 8.3 | 5.2 | +3.2 |
12. | Kurt Warner | 1999 | 28 | ram | 16 | 16 | 325 | 499 | 4353 | 41 | 13 | 29 | 201 | 8.3 | 5.2 | +3.1 |
13. | Ken Stabler | 1974 | 29 | rai | 14 | 13 | 178 | 310 | 2469 | 26 | 12 | 18 | 141 | 7.0 | 3.9 | +3.1 |
14. | Steve Young | 1991 | 30 | sfo | 11 | 10 | 180 | 279 | 2517 | 17 | 8 | 13 | 79 | 8.3 | 5.2 | +3.1 |
15. | Joe Montana | 1989 | 33 | sfo | 13 | 13 | 271 | 386 | 3521 | 26 | 8 | 33 | 198 | 8.3 | 5.2 | +3.1 |
16. | Craig Morton | 1970 | 27 | dal | 12 | 11 | 102 | 207 | 1819 | 15 | 7 | 20 | 166 | 7.2 | 4.2 | +3.1 |
17. | Dan Fouts | 1982 | 31 | sdg | 9 | 9 | 204 | 330 | 2883 | 17 | 11 | 12 | 94 | 7.7 | 4.8 | +2.9 |
18. | Joe Montana | 1984 | 28 | sfo | 16 | 15 | 279 | 432 | 3630 | 28 | 10 | 22 | 138 | 7.9 | 5.0 | +2.9 |
19. | Ken Anderson | 1975 | 26 | cin | 13 | 13 | 228 | 377 | 3169 | 21 | 11 | 32 | 247 | 7.0 | 4.0 | +2.9 |
20. | Steve Young | 1994 | 33 | sfo | 16 | 16 | 324 | 461 | 3969 | 35 | 10 | 31 | 163 | 8.2 | 5.4 | +2.9 |
21. | Boomer Esiason | 1988 | 27 | cin | 16 | 16 | 223 | 388 | 3572 | 28 | 14 | 30 | 245 | 7.8 | 5.0 | +2.8 |
22. | Kurt Warner | 2000 | 29 | ram | 11 | 11 | 235 | 347 | 3429 | 21 | 18 | 20 | 115 | 8.0 | 5.2 | +2.8 |
23. | John Hadl | 1973 | 33 | ram | 14 | 14 | 135 | 258 | 2008 | 22 | 11 | 17 | 126 | 6.6 | 3.9 | +2.8 |
24. | Peyton Manning | 2005 | 29 | clt | 16 | 16 | 305 | 453 | 3747 | 28 | 10 | 17 | 81 | 8.0 | 5.3 | +2.7 |
25. | Drew Brees | 2009 | 30 | nor | 15 | 15 | 363 | 514 | 4388 | 34 | 11 | 20 | 135 | 8.3 | 5.7 | +2.7 |
26. | Philip Rivers | 2009 | 28 | sdg | 16 | 16 | 317 | 486 | 4254 | 28 | 9 | 25 | 167 | 8.3 | 5.7 | +2.7 |
27. | Steve McNair | 2003 | 30 | oti | 14 | 14 | 250 | 400 | 3215 | 24 | 7 | 19 | 108 | 7.8 | 5.2 | +2.6 |
28. | Brian Griese | 2000 | 25 | den | 10 | 10 | 216 | 336 | 2688 | 19 | 4 | 17 | 139 | 7.8 | 5.2 | +2.6 |
29. | Peyton Manning | 2006 | 30 | clt | 16 | 16 | 362 | 557 | 4397 | 31 | 9 | 14 | 86 | 7.9 | 5.4 | +2.5 |
30. | Tom Brady | 2010 | 33 | nwe | 16 | 16 | 324 | 492 | 3900 | 36 | 4 | 25 | 175 | 8.2 | 5.7 | +2.5 |
Using this, we can evaluate every quarterback’s season independently of era, and compute the year-to-year differences in Relative ANY/A at every age.
Taking every quarterback who had at least 15.1 dropbacks per game (which tends to correspond to the standard 14 attempts per team game) in back to back seasons, I fed the year-to-year Relative ANY/A deltas into a cubic regression and smoothed out an aging curve. (This is the same process I used to calculate an aging curve for basketball players for ESPN Insider last year.)
According to this methodology, here’s how a QB can expect his Relative ANY/A to change from year to year at each age:
From Age | To Age | Delta |
---|---|---|
20 | 21 | +0.88 |
21 | 22 | +0.66 |
22 | 23 | +0.47 |
23 | 24 | +0.32 |
24 | 25 | +0.20 |
25 | 26 | +0.10 |
26 | 27 | +0.02 |
27 | 28 | -0.04 |
28 | 29 | -0.08 |
29 | 30 | -0.11 |
30 | 31 | -0.14 |
31 | 32 | -0.15 |
32 | 33 | -0.17 |
33 | 34 | -0.19 |
34 | 35 | -0.21 |
35 | 36 | -0.24 |
36 | 37 | -0.28 |
37 | 38 | -0.33 |
38 | 39 | -0.40 |
39 | 40 | -0.50 |
40 | 41 | -0.61 |
41 | 42 | -0.76 |
Or in graphic form:
This would indicate that on average, quarterbacks peaks at age 27. To put the data in another light, if we created a passer who peaked at 8.0 ANY/A, and he perfectly followed this age curve, here is how his ANY/A would look each season:
One big caveat with this study: there’s probably a good deal of selection bias here, in the sense that only passers deemed to be good enough to keep playing will get a chance to put up 15.1 dropbacks/game the following year. Still, I think this provides a pretty good estimate of how much improvement/decline you can expect from a guy at a given age.
Armed with this aging curve, we can do a lot of cool things in subsequent posts, so stay tuned….