So, I've been analyzing team performance between successive seasons (eg. dWin% = Win% of season 2 - Win% of season 1) and been checking on how much of an impact general managers have on this. When doing a linear regression analysis between win% of the 2nd season and win% of the first season, the effect was, of course, significant (p<0.05). However, after accounting for GM of the team, while still significant, the predictive value of the model actually improved. So, I thought that maybe I should check the WAR differential (dWAR; yes, just as creative as dCorsi) between seasons among each of the GMs since 1980 and add up the results to see how GMs have done. I adjusted for marginalization of win%, since it's harder to improve from 85 wins to 90 wins than it is to improve from 75 wins to 80 wins.
Here are the top 10 GMs since 1980 according to this measure:
1. John Schuerholz*(111.3 total dWAR)
2. Brian Cashman (89.3 dWAR)
3. Pat Gillick (83.9 dWAR)
4. Theo Epstein (51.7 dWAR)
5. Billy Beane (49.4 dWAR)
6. Frank Cashen (42.2 dWAR)
7. Walt Jocketty (41.5 dWAR)
8. Dan Duquette (40.4 dWAR)
9. Ned Colletti (38.2 dWAR) (Yeah, this surprised me, too)
10. Bill Stoneman (36.2 dWAR)
Plus:
18. Andrew Friedman (18.0 dWAR)
Worst 10:
1. Chuck LaMar (-39.5 dWAR)
2. Andy MacPhail (-39.0 dWAR)
3. Cam Bonifay (-38.6 dWAR)
4. Woody Woodward (-37.8 dWAR)
5. Bill Bavasi (-37.7 dWAR)
6. Harding Peterson (-32.5 dWAR) (Doesn't include his early years, so it may not be representative of his full career)
7. Joseph Klein (-32.2 dWAR)
8. Allan Baird (-31.4 dWAR)
9. Syd Thrift (-31.0 dWAR)
10. Randy Smith (-30.6 dWAR)
Just because I felt like adding them:
11. Mark Shapiro (-30.3 dWAR)
12. Jim Bowden (-26.5 dWAR)
Main caveats with this analysis:
1) Doesn't account for ownership/salary, which can influence a GM's decision (Hi Florida/Miami Marlins!).
2) Doesn't account for draft picks made by GMs. This can, especially, influence the dWAR of GMs with shorter than average career lengths.
3) Survivorship bias weeds out the bad GMs, which can cause issues with studies like this one.
I'm hoping to work on this some more, since I find it pretty interesting.