Rosternomics

All-Time GM / POBO Leaderboard

Every decision-maker since 1985, ranked by WAB — Wins Above Budget, the resource-controlled metric (did you win more than your budget predicted?). = currently active. Click any header to sort. All figures are franchise-level outcomes during the tenure, not solely attributable to one person.

Tenure length: to years    showing 42 of 195 execs — compare like-tenured GMs apples-to-apples  reset
ExecutiveTeam(s)TenureYrs WAB WAB/yr TAB TAB/yr Acq Lev WAR surplus WAR / yr Avg WAR/plyr HG HG/yr Trade Trade/yr Trades Trades/yr FA FA/yr Draft % FA % Trade % R5 % W-L% PO Pen WS
Andrew Friedman LAD TBR 2006–present 21 +192.6 +10.13 +231.1 +11.01 2.37 -1.0 -0.05 -0.001 +251.8 +11.99 +95.2 +4.53 130 6.2 -157.1 -7.48 44% 26% 30% 0% 0.571 15 6 3
Chris Antonetti CLE 2011–present 16 +142.7 +10.19 +110.7 +6.92 1.60 +158.4 +9.90 +0.219 +146.2 +9.14 +15.4 +0.96 80 5.0 -49.9 -3.12 62% 9% 28% 1% 0.538 8 1
Erik Neander TBR 2017–present 10 +133.9 +16.74 +128.2 +12.82 1.37 +168.8 +16.88 +0.352 +36.5 +3.65 -12.0 -1.20 112 11.2 -41.2 -4.12 20% 20% 59% 1% 0.556 5 1
Mike Chernoff CLE 2016–present 11 +122.1 +13.56 +97.0 +8.82 2.07 +129.7 +11.79 +0.261 +93.9 +8.54 -3.0 -0.27 56 5.1 -33.3 -3.02 65% 11% 22% 2% 0.557 7 1
Brian Cashman NYY 1999–present 28 +88.1 +3.39 +53.6 +1.91 2.22 -902.7 -32.24 -0.768 +323.3 +11.55 -19.8 -0.71 166 5.9 -82.1 -2.93 43% 43% 14% 0% 0.581 22 6 3
Matt Arnold MIL 2021–present 6 +67.7 +13.54 +45.1 +7.52 1.74 +49.4 +8.23 +0.158 +38.9 +6.49 +20.8 +3.47 52 8.7 -11.8 -1.97 40% 14% 44% 3% 0.574 4
Alex Anthopoulos ATL TOR 2010–2015, 2018–present 15 +64.3 +4.95 +50.2 +3.35 1.50 -55.0 -3.67 -0.074 +111.3 +7.42 -42.5 -2.83 88 5.9 -29.9 -1.99 38% 36% 26% 0% 0.543 8 1 1
David Stearns MIL NYM 2016–2022, 2024–present 10 +48.4 +6.05 +43.7 +4.37 1.42 -31.6 -3.16 -0.061 +32.2 +3.22 +46.7 +4.67 67 6.7 -15.1 -1.51 20% 36% 43% 0% 0.532 5
Brandon Gomes LAD 2022–present 5 +45.9 +11.46 +45.6 +9.11 2.35 -70.0 -13.99 -0.261 +38.0 +7.59 +3.7 +0.74 39 7.8 +8.7 +1.74 33% 54% 14% 0% 0.620 4 2 2
Peter Bendix MIA TBR 2022–present 5 +37.6 +9.41 +30.8 +6.15 1.16 +61.0 +12.20 +0.222 +14.2 +2.84 -1.6 -0.32 46 9.2 +2.5 +0.50 30% 19% 46% 4% 0.498 2
Jerry Dipoto ANA ARI SEA 2010–present 17 +35.6 +2.37 +13.9 +0.82 1.43 -76.5 -4.50 -0.092 +130.0 +7.65 +45.2 +2.66 132 7.8 -123.3 -7.25 43% 10% 47% 0% 0.518 3
Scott Harris DET SFG 2019–present 8 +26.6 +4.44 +3.9 +0.48 1.32 -43.1 -5.39 -0.104 +28.1 +3.51 +2.6 +0.32 45 5.6 -13.5 -1.69 29% 62% 9% 0% 0.522 3
Justin Hollander SEA 2023–present 4 +21.2 +7.06 +25.7 +6.41 2.34 +15.9 +3.98 +0.082 +17.8 +4.44 +1.9 +0.49 33 8.2 -8.6 -2.15 69% 4% 27% 0% 0.534 1
Mike Elias BAL 2019–present 8 +19.5 +3.26 +16.9 +2.12 1.23 +39.4 +4.92 +0.090 +62.3 +7.78 -3.8 -0.47 50 6.2 -2.8 -0.35 69% 6% 20% 5% 0.464 2
David Forst OAK 2016–present 11 +19.0 +2.11 +6.0 +0.54 0.90 +59.6 +5.42 +0.106 +46.6 +4.24 +1.1 +0.10 67 6.1 -72.2 -6.56 47% 11% 42% 0% 0.473 3
Jeff Greenberg DET 2024–present 3 +16.8 +8.38 +12.0 +4.00 1.81 +3.6 +1.20 +0.026 +15.0 +4.99 -0.9 -0.31 13 4.3 +3.2 +1.08 75% 25% 0% 0% 0.515 2
Derek Falvey MIN 2017–present 10 +13.9 +1.74 +38.7 +3.87 1.66 +32.8 +3.28 +0.066 +50.8 +5.08 +2.9 +0.29 52 5.2 -24.8 -2.48 37% 38% 25% 0% 0.507 4
Mike Girsch STL 2018–present 9 +10.4 +1.48 -1.2 -0.14 1.31 -64.2 -7.14 -0.162 +56.9 +6.32 +1.9 +0.22 37 4.1 -22.0 -2.44 46% 16% 38% 0% 0.525 4
Dana Brown HOU 2023–present 4 +8.9 +2.96 +8.9 +2.23 3.19 -44.7 -11.16 -0.231 +3.0 +0.76 +3.7 +0.92 20 5.0 -3.3 -0.83 18% 66% 16% 0% 0.532 2
Jed Hoyer BOS CHC SDP 2006–2006, 2010–present 18 +6.8 +0.43 +23.5 +1.31 1.36 -124.4 -6.91 -0.146 +156.5 +8.69 +13.1 +0.73 109 6.1 -37.0 -2.06 36% 30% 33% 1% 0.512 6 1 1
Preston Mattingly PHI 2025–present 2 +5.3 +5.31 +8.7 +4.37 1.98 -35.4 -17.72 -0.454 -0.4 -0.21 -0.2 -0.09 7 3.5 -4.3 -2.17 0% 22% 78% 0% 0.571 1
Craig Breslow BOS 2024–present 3 +4.8 +2.42 +10.7 +3.57 2.36 -7.4 -2.48 -0.050 +7.3 +2.42 +2.3 +0.78 23 7.7 -0.6 -0.21 26% 38% 36% 0% 0.515 1
Buster Posey SFG 2025–present 2 +0.4 +0.44 -0.7 -0.36 0.82 -14.0 -7.00 -0.157 -1.0 -0.52 -0.0 -0.02 8 4.0 +3.3 +1.66 0% 100% 0% 0% 0.476
Zack Minasian SFG 2025–present 2 +0.4 +0.44 -0.7 -0.36 0.82 -14.0 -7.00 -0.157 -1.0 -0.52 -0.0 -0.02 8 4.0 +3.3 +1.66 0% 100% 0% 0% 0.476
Anirudh Kilambi WSN 2026–present 1 +0.0 +0.0 +0.00 +4.8 +4.75 +0.132 -0.1 -0.13 +0.6 +0.64 5 5.0 -1.9 -1.94 0% 0% 100% 0% 0.490
Gabe Kapler MIA 2026–present 1 +0.0 +0.0 +0.00 +4.7 +4.71 +0.134 -0.1 -0.15 -1.1 -1.12 5 5.0 +0.0 +0.05 0% 100% 0% 0% 0.431
Paul Toboni WSN 2026–present 1 +0.0 +0.0 +0.00 +4.8 +4.75 +0.132 -0.1 -0.13 +0.6 +0.64 5 5.0 -1.9 -1.94 0% 0% 100% 0% 0.490
Josh Byrnes ARI COL SDP 2006–2010, 2012–2014, 2026–present 9 -2.4 -0.30 -9.6 -1.07 0.50 +6.8 +0.76 +0.021 +87.9 +9.77 -92.8 -10.31 53 5.9 -13.9 -1.55 56% 13% 31% 0% 0.468 1
Ross Atkins TOR 2016–present 11 -4.4 -0.49 +2.9 +0.27 1.42 -101.2 -9.20 -0.176 +68.1 +6.19 +28.1 +2.56 69 6.3 -5.5 -0.50 38% 39% 23% 0% 0.510 5 1
Mike Hazen ARI BOS 2015–2015, 2017–present 11 -4.6 -0.51 +4.0 +0.37 1.04 -21.2 -1.93 -0.039 +55.2 +5.01 -13.2 -1.20 61 5.5 -11.5 -1.04 44% 28% 28% 0% 0.490 2 1
Ross Fenstermaker TEX 2025–present 2 -6.2 -6.24 -5.0 -2.50 0.78 -32.4 -16.21 -0.391 -0.4 -0.19 -0.9 -0.45 10 5.0 -2.5 -1.26 0% 100% 0% 0% 0.498
Jeremy Zoll MIN 2025–present 2 -6.6 -6.56 +3.0 +1.48 1.17 +10.8 +5.39 +0.119 +2.7 +1.34 -1.5 -0.73 17 8.5 -1.1 -0.54 59% 0% 41% 0% 0.439
Chaim Bloom BOS STL 2020–2023, 2026–present 5 -6.8 -2.28 -12.7 -2.54 0.95 -51.4 -10.27 -0.211 +21.0 +4.19 +12.1 +2.41 38 7.6 -42.5 -8.50 30% 35% 26% 10% 0.504 1
Nick Krall CIN 2018–present 9 -13.7 -1.96 -14.4 -1.60 0.65 -17.4 -1.94 -0.037 +66.2 +7.36 -8.3 -0.92 53 5.9 -43.9 -4.88 69% 26% 5% 0% 0.471 2
Carter Hawkins CHC 2021–present 6 -14.9 -2.97 -8.2 -1.36 1.62 -59.7 -9.95 -0.185 +37.2 +6.19 -3.9 -0.65 38 6.3 +3.6 +0.59 45% 49% 6% 0% 0.502 1
AJ Preller SDP 2015–present 12 -19.3 -1.93 -12.2 -1.01 0.80 -72.1 -6.01 -0.121 +40.1 +3.34 +2.6 +0.22 79 6.6 -26.8 -2.23 19% 37% 43% 0% 0.490 4
J.J. Picollo KCR 2021–present 6 -22.0 -4.40 -11.0 -1.83 1.26 -14.3 -2.39 -0.051 +53.6 +8.93 +0.6 +0.11 35 5.8 +7.1 +1.18 73% 20% 6% 0% 0.445 1
Dave Dombrowski BOS DET MIA PHI WSN 1989–2019, 2021–present 36 -26.6 -0.74 +28.1 +0.78 1.31 -320.8 -8.91 -0.229 +335.7 +9.32 +42.1 +1.17 206 5.7 -48.6 -1.35 36% 27% 37% 0% 0.503 13 5 2
Chris Young TEX 2021–present 6 -36.5 -7.31 -18.3 -3.06 0.90 -78.6 -13.09 -0.269 +26.3 +4.38 +5.5 +0.92 35 5.8 +46.1 +7.68 25% 67% 8% 0% 0.467 1 1 1
Ben Cherington BOS PIT 2006–2006, 2012–2015, 2020–present 12 -45.2 -4.52 -52.5 -4.38 0.83 -106.8 -8.90 -0.178 +65.9 +5.49 +16.0 +1.33 83 6.9 -13.2 -1.10 39% 24% 37% 0% 0.458 1 1 1
Chris Getz CHW 2024–present 3 -47.0 -23.51 -32.2 -10.72 0.12 -20.9 -6.95 -0.129 +14.9 +4.96 +1.0 +0.33 21 7.0 -10.3 -3.44 66% 0% 32% 2% 0.338
Perry Minasian ANA 2021–present 6 -63.1 -12.61 -73.9 -12.31 0.65 -130.0 -21.67 -0.363 +15.7 +2.62 -8.9 -1.48 30 5.0 -30.8 -5.14 69% 20% 11% 0% 0.436

WAB (default sort) = wins above what payroll predicted — resource-controlled. WAR surplus = era-neutral value per dollar (wins minus payroll in win-equivalents). The build channels show how the value was sourced, all in realized fWAR: HG = home-grown (amateur draft + international signing — your farm's output); Trade = acquired minus surrendered (incl. purchases/waiver claims); FA = value from free agents signed minus value of FAs who walked. Each has a per-season rate next to it. The four % columns are each channel's share of gross-positive acquired fWAR (Draft + FA + Trade + R5 ≈ 100%), where R5 = Rule-5 / minor-league draft pickups (split out from trades). Acq Lev (acquisition leverage) = playoff-probability points each *bought* (FA/trade) win added given the roster it joined — playoff odds are an S-curve in roster WAR (flat far from contention, steep near the ~45-WAR threshold), so a bought win is worth a lot on a near-threshold roster and almost nothing on a baseless one. High ≈ 2.5 (buys wins where they matter, e.g. Friedman/Schuerholz); low ≈ 0.4 (buys onto rosters too far from contention). It's a process measure — independent of how the acquired players then performed. All are franchise-level outcomes credited to whoever ran baseball ops in the acquisition year — home-grown to the GM at the player's draft/signing, trade/FA/R5 to the GM who made the move (so e.g. a star drafted under a prior regime is credited to that regime, not whoever was in the chair when he peaked).