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Skidmore

Season: 2026 2025 2024 2023 2022 2020 2019 2017 2016 2015
Also known as: Skidmore
Program History

Model Outputs

2025-2026
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → 946 (#474) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 945 (#437) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1010 (#365) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -11.5 (#276) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -5.8 (#455) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.223 (#651) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -18.3 More → 0.108 (#637) AdjNet -18.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -18.5 More → 0.104 (#637) AdjNet -18.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 64.7 | AdjD 77.6 More → 0.236 (#614) AdjO 64.7 | AdjD 77.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.0 | AdjD 73.3 More → 0.492 (#426) AdjO 73.0 | AdjD 73.3
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.403 (#484) Blend of Elo, BT, Margin, PythLog, PtsOD
Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.424 (#468) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 100 | GP 21 More → 984 (#402) RD 100 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Plattsburgh St. L 73 - 80
2025-11-14 vs Middlebury W 91 - 87
2025-11-19 vs WestConn L 68 - 69
2025-11-22 @ Purchase W 58 - 50
2025-12-01 @ Norwich W 67 - 61
2025-12-05 vs RIT W 74 - 68
2025-12-06 vs Ithaca L 70 - 96
2025-12-29 @ Concordia-M'head L 60 - 83
2025-12-30 vs Coast Guard W 83 - 71
2026-01-09 @ Hobart L 70 - 86
2026-01-10 @ Rensselaer L 56 - 76
2026-01-16 @ St. Lawrence L 66 - 75
2026-01-17 @ Clarkson W 86 - 82
2026-01-20 vs Vassar L 46 - 67
2026-01-23 vs Bard W 82 - 33
2026-01-27 vs Union (NY) L 73 - 81
2026-01-30 vs Rensselaer W 67 - 60
2026-01-31 vs Hobart W 101 - 94
2026-02-03 @ Vassar L 75 - 82
2026-02-06 @ Union (NY) L 62 - 80
2026-02-07 @ Bard W 74 - 52

2026 Roster

Minutes by Position

The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.

Player Pos GP MIN PTS REB AST STL BLK TO FGA Numbers PM PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Aidan Roy - 17 32.5 19.0 2.4 2.4 1.2 0.6 3.2 15.1 7.3 -51 -2.8 -14.2 45.5 36.4 70.2 -1.09 53.3 48.6
Zac Ditzel - 1 33.4 15.0 5.0 0.0 0.0 1.0 1.0 14.0 6.0 31 1.5 9.5 35.7 50.0 100.0 0.4 50.4 46.4
Prince Shyllon - 19 33.6 14.7 4.5 3.7 1.4 0.6 1.8 12.2 11.0 -72 -9.0 -248.3 37.2 27.3 80.0 0.63 51.6 44.8
Muhsin Muhammad - 1 26.6 11.0 5.0 2.0 3.0 2.0 1.0 10.0 12.0 25 1.6 25.8 30.0 0.0 83.3 1.91 43.5 30.0
Josiah Turner - 1 35.0 10.0 8.0 2.0 1.0 2.0 3.0 11.0 9.0 9 0.4 2.2 36.4 50.0 0 2.89 45.5 45.5
Brody Brown - 1 30.7 9.0 1.0 3.0 1.0 0.0 2.0 8.0 4.0 19 0.9 4.7 37.5 33.3 100.0 1.02 50.7 43.8
Joey Skoric - 20 22.4 8.9 6.5 0.3 0.5 1.6 1.4 6.0 10.3 -67 -3.2 -16.0 56.2 38.9 80.0 0.66 65.2 62.0
Charlie Fantom - 15 25.6 7.3 4.9 1.4 1.0 0.1 0.7 5.9 8.1 34 2.1 8.2 41.6 40.0 72.7 2.38 58.6 57.3
Danny Cohen - 1 19.0 6.0 1.0 0.0 0.0 1.0 0.0 4.0 4.0 -44 -2.3 -18.8 75.0 0 0.0 -1.9 61.5 75.0
Xavier Nelson - 1 17.2 6.0 3.0 1.0 0.0 0.0 0.0 5.0 5.0 -55 -2.6 -16.6 40.0 50.0 50.0 -2.27 51.0 50.0
Nigel Pierman - 1 20.9 6.0 5.0 2.0 0.0 0.0 2.0 5.0 6.0 -47 -2.4 -14.4 60.0 0 0.0 -1.21 51.0 60.0
Nick Padilla - 18 13.5 5.8 1.7 1.5 0.6 0.0 1.3 4.8 3.5 14 0.8 5.5 45.3 32.3 81.0 0.21 55.1 51.2
Dillon McCafferty - 20 21.7 5.8 2.9 0.9 1.0 0.3 0.8 5.5 4.8 -23 -1.3 -37.1 37.6 29.0 67.6 1.12 46.3 41.7
Nolan Smith - 1 13.0 5.0 4.0 2.0 0.0 0.0 1.0 2.0 8.0 -27 -1.4 -17.8 100.0 100.0 0 -2.21 125.0 125.0
Charlie Weisberg - 19 11.2 4.2 1.6 0.5 0.0 0.0 0.6 5.3 0.4 39 1.9 30.0 28.0 24.1 60.0 0.99 38.6 38.0
Jack LaGarde - 20 15.1 3.9 4.9 0.3 0.3 1.0 0.5 3.1 6.8 85 4.0 23.8 55.6 0 58.3 1.83 56.4 55.6
Will Ameden - 19 11.6 2.7 2.2 0.3 0.4 0.1 0.5 2.2 2.9 16 0.8 8.3 42.9 25.0 61.9 -0.39 50.7 46.4
Fumani Sithole - 11 3.3 0.9 0.5 0.0 0.0 0.0 0.1 1.0 0.4 -8 -0.7 -63.6 27.3 27.3 50.0 -0.57 42.1 40.9
Harry Luo - 8 2.5 0.2 0.5 0.1 0.0 0.0 0.1 0.8 0.0 0 0.0 0.0 16.7 0.0 0.0 0.03 14.5 16.7
Alexander Nunn - 5 1.5 0.0 0.2 0.0 0.0 0.0 0.0 0.0 0.2 2 0.4 27.6 0 0 0.0 0.21 0.0 0
Marcus Graves - 1 4.2 0.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 -31 -2.6 -72.0 0 0 0 -1.01 0 0

Numbers/Game vs RAPM

X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.

Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG