🐻⬇️🏀

Hawaii

Also known as: Hawaii
Program History

Model Outputs

2025-2026
Catalog

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

Model Output Notes
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1100 (#106) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1034 (#158) HCA +95 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +22.2 (#47) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.972 (#91) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +33.3 More → 0.980 (#38) AdjNet +33.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +33.0 More → 0.980 (#41) AdjNet +33.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 87.9 | AdjD 63.3 More → 0.903 (#49) AdjO 87.9 | AdjD 63.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 82.4 | AdjD 69.1 More → 0.769 (#30) AdjO 82.4 | AdjD 69.1
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 → 0.867 (#29) 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 → 0.853 (#28) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 315 | GP 2 More → 1150 (#76) RD 315 | GP 2

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-25 vs Hawaii Pacific W 88 - 76
2025-12-11 vs Hawaii Hilo W 98 - 46

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%
Harry Rouhliadeff - 2 24.0 15.0 8.5 4.0 0.0 0.5 1.0 8.0 19.0 - - - 62.5 28.6 88.9 - 75.2 68.8
Dre Bullock - 2 21.2 11.5 6.0 2.0 1.0 0.5 1.0 8.0 12.0 - - - 50.0 40.0 83.3 - 61.7 56.2
Hunter Erickson - 2 32.7 11.5 3.5 3.5 0.5 0.5 1.0 7.5 11.0 - - - 40.0 38.5 75.0 - 62.1 56.7
Gytis Nemeiksa - 2 18.5 11.5 8.0 3.0 1.0 1.0 0.0 8.5 16.0 - - - 41.2 25.0 88.9 - 54.9 44.1
Aaron Hunkin-Claytor - 2 30.4 11.0 3.5 5.0 1.0 0.5 1.5 9.0 10.5 - - - 50.0 27.3 33.3 - 56.9 58.3
Isaac Johnson - 2 16.5 11.0 4.0 0.0 0.5 0.5 0.5 4.5 11.0 - - - 66.7 0.0 100.0 - 82.1 66.7
Yacine Toumi - 2 16.4 9.0 6.0 1.0 0.5 0.0 1.5 4.5 10.5 - - - 77.8 0 44.4 - 69.4 77.8
Jalen Myers - 1 9.3 7.0 1.0 1.0 0.0 0.0 0.0 4.0 5.0 - - - 50.0 0 75.0 - 60.8 50.0
Isaac Finlinson - 2 11.2 5.5 1.5 0.0 0.0 0.0 0.5 4.0 2.5 - - - 50.0 33.3 100.0 - 65.2 62.5
AJ Economou - 2 6.8 3.5 1.5 0.0 1.5 0.5 0.5 3.0 3.5 - - - 33.3 40.0 50.0 - 50.9 50.0
Hunter Carter - 2 7.7 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 - - - 0.0 0 0 - 0.0 0.0
Isaiah Kerr - 1 20.1 0.0 0.0 3.0 3.0 0.0 2.0 4.0 0.0 - - - 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