Hawai'i Rainbow Wahine
2025 Team Stats (2 games)
49.0
PPG
60.5
Opp
-11.5
Margin
27.9%
FG%
21.2%
3P%
80.6%
FT%
31.0
RPG
9.5
APG
13.0
TO
75.3
Pace
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2025 yet, so this section is showing the latest available team-model rows.
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1130 (#38) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +17.9 (#103) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.704 (#64) | AdjO 62.6 | AdjD 53.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.859 (#100) | 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. More → | 0.846 (#89) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1184 (#77) | RD 124 | GP 30 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-12-01 | vs | UCLA Bruins | L | 49 - 70 |
| 2025-03-14 | vs | UC San Diego Tritons | L | 49 - 51 |
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
L. Wahinekapu
|
G | 2 | 31.5 | 11.0 | 5.5 | 3.5 | 0.0 | 0.5 | 2.0 | 12.5 | 6.0 | 50 | 1.6 | 1.9 | 32.0 | 30.8 | 100.0 | 0.53 | 42.5 | 40.0 |
D. Phillips
|
G | 1 | 26.0 | 9.0 | 2.0 | 0.0 | 1.0 | 0.0 | 3.0 | 9.0 | 0.0 | 24 | 2.0 | 2.6 | 33.3 | 0.0 | 75.0 | 0.33 | 41.8 | 33.3 |
B. Rewers
|
F | 2 | 22.0 | 9.0 | 3.5 | 0.5 | 0.0 | 1.0 | 1.5 | 7.0 | 5.5 | 52 | 1.6 | 3.3 | 28.6 | 25.0 | 80.0 | 0.69 | 48.9 | 35.7 |
M. McBee
|
G | 2 | 24.5 | 7.0 | 4.0 | 1.0 | 0.5 | 0.5 | 0.5 | 6.5 | 6.0 | 100 | 3.1 | 3.9 | 30.8 | 27.3 | 100.0 | 1.59 | 48.9 | 42.3 |
R. Tamilo
|
C | 1 | 19.0 | 6.0 | 3.0 | 0.0 | 0.0 | 1.0 | 2.0 | 4.0 | 4.0 | 43 | 1.4 | 2.3 | 75.0 | 0 | 0 | 0.3 | 75.0 | 75.0 |
R. Moors
|
F | 1 | 16.0 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 3.0 | 20 | 0.8 | 2.5 | 100.0 | 100.0 | 0 | 0.19 | 125.0 | 125.0 |
M. 'Uhila
|
G | 2 | 13.0 | 3.0 | 1.0 | 0.5 | 0.0 | 0.0 | 1.0 | 4.0 | -0.5 | 52 | 1.7 | 3.3 | 12.5 | 0.0 | 66.7 | 0.61 | 28.2 | 12.5 |
J. Lefotu
|
G | 1 | 17.0 | 3.0 | 3.0 | 0.0 | 2.0 | 0.0 | 1.0 | 5.0 | 2.0 | 51 | 2.0 | 4.3 | 20.0 | 0.0 | 50.0 | 0.47 | 25.5 | 20.0 |
J. Peacock
|
G | 2 | 11.5 | 2.5 | 2.0 | 0.0 | 1.0 | 0.0 | 0.5 | 3.0 | 2.0 | 22 | 0.7 | 1.5 | 33.3 | 33.3 | 0 | 0.26 | 41.7 | 41.7 |
K. Imai
|
G | 2 | 20.5 | 2.0 | 3.5 | 2.0 | 0.0 | 0.5 | 2.0 | 5.5 | 0.5 | 32 | 1.2 | 2.0 | 0.0 | 0.0 | 100.0 | 0.31 | 15.7 | 0.0 |
I. Perez
|
F | 2 | 25.5 | 2.0 | 3.0 | 2.0 | 0.0 | 0.5 | 0.5 | 4.0 | 3.0 | 82 | 2.7 | 3.6 | 25.0 | 0.0 | 0 | 0.99 | 25.0 | 25.0 |
D. Kujovic
|
F | 1 | 25.0 | 2.0 | 2.0 | 0.0 | 1.0 | 4.0 | 1.0 | 6.0 | 2.0 | 3 | 0.5 | 2.0 | 16.7 | 0.0 | 0 | -0.79 | 16.7 | 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