🐻⬇️🏀

Columbia

Also known as: Columbia
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 → 1037 (#208) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1061 (#227) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1017 (#308) HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +30.5 (#56) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#33) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +40.9 More → 0.992 (#40) AdjNet +40.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +40.5 More → 0.993 (#40) AdjNet +40.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 92.4 | AdjD 62.7 More → 0.937 (#41) AdjO 92.4 | AdjD 62.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 88.1 | AdjD 67.4 More → 0.868 (#9) AdjO 88.1 | AdjD 67.4
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 → 0.920 (#21) 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 → 0.906 (#15) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 266 | GP 2 More → 1123 (#137) RD 266 | GP 2

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-29 vs Sarah Lawrence W 92 - 44
2025-12-31 vs Penn St.-Abington W 106 - 51

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%
Gerard O'Keefe - 2 23.5 16.5 2.5 2.5 0.5 0.0 0.5 10.0 11.5 - - - 65.0 54.5 100.0 - 80.7 80.0
Richard Nweke - 2 17.6 11.5 7.5 1.0 1.0 0.5 0.5 7.5 13.5 - - - 66.7 0 42.9 - 63.6 66.7
Mason Ritter - 2 16.2 11.5 5.5 1.0 0.0 1.5 0.5 8.0 11.0 - - - 62.5 0.0 60.0 - 63.2 62.5
Miles Franklin - 2 19.9 10.5 4.5 0.5 1.0 0.5 1.5 8.0 7.5 - - - 56.2 14.3 50.0 - 59.1 59.4
Connor Igoe - 2 13.8 10.5 9.0 5.0 0.5 0.0 1.5 7.5 16.0 - - - 60.0 0.0 60.0 - 61.0 60.0
Blair Thompson - 2 19.6 10.5 5.0 1.0 1.0 0.0 1.0 7.0 9.5 - - - 50.0 66.7 75.0 - 66.6 64.3
Kenny Noland - 2 17.2 9.5 2.0 4.5 1.5 0.0 1.0 7.0 9.5 - - - 57.1 33.3 0 - 67.9 67.9
Ryan Soulis - 2 20.6 9.0 7.5 1.5 0.5 0.5 2.0 8.0 9.0 - - - 56.2 0.0 0 - 56.2 56.2
Josiah Cunningham - 1 17.4 5.0 2.0 1.0 1.0 0.0 1.0 4.0 4.0 - - - 50.0 0.0 50.0 - 51.2 50.0
Leland Coleman - 2 16.4 3.5 7.5 2.0 0.5 0.5 0.5 3.5 10.0 - - - 28.6 0.0 42.9 - 34.7 28.6
Hampton Sanders - 2 23.8 3.5 6.0 7.5 0.5 0.0 2.5 4.5 10.5 - - - 33.3 16.7 0.0 - 37.1 38.9
Edwin Bai - 2 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.5 -0.5 - - - 0.0 0.0 0 - 0.0 0.0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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