🐻⬇️🏀

Montana

Season: 2026 2022
Also known as: Montana
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 (#164) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1032 (#224) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1014 (#284) HCA +75 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +19.9 (#90) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.999 (#52) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +48.8 More → 0.999 (#48) NetEff +48.8
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +38.1 More → 0.988 (#73) AdjNet +38.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +37.6 More → 0.990 (#74) AdjNet +37.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 75.6 | AdjD 51.8 More → 0.896 (#79) AdjO 75.6 | AdjD 51.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.4 | AdjD 60.6 More → 0.607 (#159) AdjO 65.4 | AdjD 60.6
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 → 0.853 (#57) 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 → 0.821 (#72) 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 (#134) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-04 vs Seattle Pacific W 81 - 44

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%
Avery Waddington - 1 19.4 20.0 8.0 0.0 1.0 0.0 2.0 10.0 17.0 - - - 70.0 50.0 100.0 - 82.0 75.0
Mack Konig - 1 21.5 14.0 3.0 5.0 2.0 0.0 3.0 5.0 16.0 - - - 80.0 0 85.7 - 86.6 80.0
Rae Ehrman - 1 14.8 9.0 2.0 0.0 0.0 0.0 0.0 5.0 6.0 - - - 80.0 0.0 50.0 - 76.5 80.0
Draya Wacker - 1 19.6 8.0 7.0 1.0 1.0 0.0 2.0 5.0 10.0 - - - 40.0 0.0 100.0 - 59.2 40.0
Kennedy Gillette - 1 17.2 7.0 6.0 0.0 0.0 0.0 0.0 4.0 9.0 - - - 25.0 0.0 100.0 - 56.5 25.0
Adria Lincoln - 1 15.3 7.0 5.0 0.0 2.0 1.0 2.0 5.0 8.0 - - - 40.0 0.0 100.0 - 55.4 40.0
Jocelyn Land - 1 21.7 6.0 3.0 1.0 1.0 0.0 2.0 9.0 0.0 - - - 22.2 14.3 50.0 - 30.4 27.8
Aby Shubert - 1 11.3 6.0 1.0 0.0 0.0 0.0 0.0 4.0 3.0 - - - 50.0 66.7 0 - 75.0 75.0
Maggie Hutka - 1 19.0 4.0 4.0 0.0 1.0 0.0 1.0 9.0 -1.0 - - - 22.2 0.0 0.0 - 20.2 22.2
Ava Cossette - 1 2.8 0.0 0.0 0.0 0.0 0.0 1.0 0.0 -1.0 - - - 0 0 0 - 0 0
Macy Donarski - 1 19.1 0.0 3.0 3.0 0.0 0.0 0.0 3.0 3.0 - - - 0.0 0.0 0 - 0.0 0.0
Zoey Washington - 1 4.6 0.0 1.0 0.0 1.0 0.0 1.0 0.0 1.0 - - - 0 0 0 - 0 0
Chloe Larsen - 1 5.1 0.0 1.0 0.0 0.0 0.0 0.0 1.0 0.0 - - - 0.0 0.0 0 - 0.0 0.0
Lauren Dick - 1 8.6 0.0 1.0 0.0 1.0 0.0 1.0 0.0 1.0 - - - 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