🐻⬇️🏀

Hawaii Hilo

Also known as: Hawaii Hilo
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 → 841 (#484) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 821 (#490) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 804 (#674) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → -3.9 (#263) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → -15.4 (#562) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.310 (#438) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -9.1 More → 0.226 (#356) NetEff -9.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -3.5 More → 0.399 (#444) AdjNet -3.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -3.2 More → 0.406 (#444) AdjNet -3.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 60.3 | AdjD 61.6 More → 0.470 (#435) AdjO 60.3 | AdjD 61.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 54.0 | AdjD 66.9 More → 0.237 (#649) AdjO 54.0 | AdjD 66.9
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 → 0.194 (#603) 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 → 0.186 (#614) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 98 | GP 23 More → 765 (#485) RD 98 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 @ Alas. Fairbanks - Incomplete score
2025-11-15 @ Master's - Incomplete score
2025-11-18 @ Alas. Anchorage - Incomplete score
2025-11-25 vs Wingate - Incomplete score
2025-11-26 vs Gannon - Incomplete score
2025-12-04 vs Hawaii Pacific - Incomplete score
2025-12-06 vs Chaminade - Incomplete score
2025-12-12 @ Hawaii - Incomplete score
2025-12-13 @ Hawaii Pacific - Incomplete score
2026-01-03 @ Jessup - Incomplete score
2026-01-10 @ Menlo - Incomplete score
2026-01-15 vs Dominican (CA) - Incomplete score
2026-01-17 vs Vanguard - Incomplete score
2026-01-20 vs Westmont - Incomplete score
2026-01-22 vs CUI - Incomplete score
2026-01-24 vs Biola - Incomplete score
2026-01-29 @ Azusa Pacific - Incomplete score
2026-01-31 @ Westmont - Incomplete score
2026-02-03 @ Vanguard - Incomplete score
2026-02-05 @ Biola - Incomplete score
2026-02-07 @ CUI - Incomplete score

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%
Kaile Cruz - 19 25.6 11.7 2.6 1.1 0.6 0.0 2.8 10.9 2.3 -157 -8.3 -32.3 32.4 28.3 89.7 -0.66 47.1 39.1
Keirstyn Agonias - 17 25.3 10.6 3.3 1.4 0.9 0.2 1.6 9.4 5.3 -71 -3.9 -19.3 46.9 46.2 53.2 1.85 50.1 48.8
Tavina Harris - 18 23.6 9.6 6.0 0.6 0.4 0.3 2.8 7.8 6.3 -104 -5.8 -23.1 49.6 0.0 67.3 -0.51 53.2 49.6
KeanuMarie Huihui - 10 29.1 9.0 3.9 2.0 0.6 0.4 2.5 9.7 3.7 -8 -0.7 -4.7 34.0 34.3 70.6 1.65 43.1 40.2
Brooke Samura - 11 23.8 8.5 7.4 2.2 2.2 0.2 2.4 9.1 9.0 8 0.7 4.8 38.0 9.1 72.7 0.52 42.9 39.0
Noelle Sua-Godinet - 8 27.0 6.1 5.5 1.2 0.8 0.5 1.6 5.5 7.0 -20 -2.2 -22.4 47.7 0.0 53.8 0.41 49.3 47.7
Kimberly Macias - 16 17.5 4.8 2.2 0.8 1.1 0.1 1.1 5.8 2.0 -31 -2.2 -13.0 30.1 24.1 77.8 2.57 39.2 37.1
Mindy Kawaha - 20 29.1 4.1 2.1 2.3 0.9 0.1 2.6 5.8 1.2 -176 -8.4 -32.4 18.3 24.1 81.2 -3.7 31.8 24.3
Noelle Su'a-Godinet - 2 23.3 4.0 6.5 1.5 1.5 0.5 1.0 5.5 7.5 18 9.0 29.3 27.3 0 100.0 1.51 33.7 27.3
Kacie Febo-Santiago - 11 25.3 3.5 3.1 0.2 1.1 0.5 1.2 4.0 3.2 -117 -10.6 -34.8 29.5 21.4 60.0 -0.68 37.5 33.0
Everett Roach - 10 18.3 3.2 3.1 0.0 0.4 0.0 0.5 3.2 3.0 -93 -11.6 -48.6 37.5 0.0 61.5 -2.21 42.4 37.5
Evie Roach - 1 3.6 2.0 2.0 0.0 1.0 0.0 1.0 2.0 2.0 -7 -7.0 -77.1 50.0 0 0 -2.21 50.0 50.0
Melanie Hiu - 18 26.3 1.8 1.7 0.8 0.5 0.3 0.7 2.1 2.3 -161 -8.9 -37.1 32.4 37.5 0 -2.23 44.6 44.6
Kendall Oda - 7 6.0 0.6 1.0 0.3 0.4 0.0 0.4 0.9 1.0 -27 -3.9 -52.3 16.7 0.0 100.0 -2.75 29.1 16.7

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