Model Outputs
2025-2026
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 → | 927 (#431) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 966 (#541) | HCA +62 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -9.1 (#487) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.009 (#711) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.030 (#537) | NetEff -31.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.044 (#610) | AdjNet -26.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.042 (#606) | AdjNet -26.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.185 (#603) | AdjO 56.7 | AdjD 73.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.411 (#528) | AdjO 62.2 | AdjD 66.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.362 (#490) | 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 → | 0.372 (#483) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 890 (#424) | RD 237 | GP 1 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-01-10 | vs | UC Santa Cruz | L | 62 - 84 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Aysia Santos | - | 1 | 39.0 | 23.0 | 1.0 | 3.0 | 0.0 | 0.0 | 1.0 | 20.0 | 6.0 | 90 | 3.8 | 16.9 | 45.0 | 50.0 | 50.0 | 0.35 | 55.1 | 55.0 |
| Tamana Sharifi | - | 1 | 29.0 | 12.0 | 6.0 | 1.0 | 3.0 | 0.0 | 0.0 | 8.0 | 14.0 | - | - | - | 62.5 | 40.0 | 0 | - | 75.0 | 75.0 |
| Emily Newton | - | 1 | 32.0 | 9.0 | 3.0 | 2.0 | 0.0 | 1.0 | 5.0 | 4.0 | 6.0 | - | - | - | 75.0 | 66.7 | 100.0 | - | 101.4 | 100.0 |
| Katelyn Glumace | - | 1 | 17.0 | 8.0 | 1.0 | 1.0 | 0.0 | 0.0 | 2.0 | 4.0 | 4.0 | - | - | - | 50.0 | 0 | 100.0 | - | 69.4 | 50.0 |
| Jessica Huffhines | - | 1 | 33.0 | 4.0 | 4.0 | 1.0 | 0.0 | 0.0 | 2.0 | 4.0 | 3.0 | - | - | - | 0.0 | 0.0 | 100.0 | - | 34.7 | 0.0 |
| Suraya Lloyd | - | 1 | 4.0 | 4.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | -1.0 | - | - | - | 33.3 | 0.0 | 0 | - | 33.3 | 33.3 |
| Alanis Sulivan | - | 1 | 39.0 | 2.0 | 2.0 | 7.0 | 1.0 | 1.0 | 1.0 | 4.0 | 8.0 | - | - | - | 25.0 | 0.0 | 0 | - | 25.0 | 25.0 |
| Cienna Keowns | - | 1 | 9.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 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