🐻⬇️🏀

James Madison

Season: 2026 2025 2024 2023 2022 2020 2019 2017 2016
Also known as: James Madison
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 → 1032 (#236) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1108 (#128) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1010 (#361) HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +7.9 (#247) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.998 (#104) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +32.6 More → 0.978 (#91) AdjNet +32.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +32.4 More → 0.980 (#91) AdjNet +32.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 88.2 | AdjD 61.7 More → 0.917 (#69) AdjO 88.2 | AdjD 61.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.2 | AdjD 72.6 More → 0.513 (#374) AdjO 73.2 | AdjD 72.6
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 → 0.683 (#224) 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 → 0.657 (#252) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 1088 (#208) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-05 vs Wash. & Lee W 70 - 56

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%
Gabe Newhof - 1 18.2 20.0 8.0 0.0 0.0 2.0 0.0 9.0 21.0 - - - 88.9 0 80.0 - 89.3 88.9
Justin McBride - 1 25.4 12.0 8.0 3.0 1.0 0.0 1.0 9.0 14.0 -6 -0.3 -1.3 33.3 0.0 85.7 3.32 49.7 33.3
Paul Jones III - 1 17.4 8.0 2.0 0.0 1.0 0.0 2.0 7.0 2.0 - - - 42.9 40.0 0.0 - 53.8 57.1
Christian Brown - 1 10.8 7.0 6.0 1.0 1.0 4.0 1.0 3.0 15.0 76 4.5 30.1 100.0 0 50.0 2.45 90.2 100.0
Cliff Davis - 1 26.4 5.0 2.0 1.0 1.0 0.0 1.0 3.0 5.0 - - - 33.3 33.3 100.0 - 64.4 50.0
Bradley Douglas - 1 20.2 5.0 2.0 3.0 0.0 0.0 2.0 6.0 2.0 - - - 16.7 25.0 100.0 - 36.3 25.0
Preston Fowler - 1 20.2 5.0 9.0 2.0 0.0 0.0 0.0 8.0 8.0 - - - 25.0 0.0 100.0 - 29.6 25.0
Eli Wilborn - 1 10.1 4.0 0.0 0.0 0.0 0.0 1.0 3.0 0.0 - - - 66.7 0 0 - 66.7 66.7
Paul Lewis - 1 19.8 2.0 1.0 2.0 2.0 1.0 1.0 6.0 1.0 - - - 16.7 0.0 0 - 16.7 16.7
Eddie Ricks III - 1 22.6 2.0 5.0 1.0 2.0 1.0 0.0 5.0 6.0 - - - 20.0 0.0 0 - 20.0 20.0
Justin Taylor - 1 9.1 0.0 0.0 0.0 0.0 1.0 0.0 0.0 1.0 53 4.1 31.0 0 0 0 1.63 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