Model Outputs
2025-2026
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 → | 931 (#428) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 936 (#377) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 948 (#561) | HCA +75 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +2.7 (#145) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -4.6 (#430) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.487 (#367) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.395 (#302) | NetEff -3.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.552 (#382) | AdjNet +1.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.555 (#386) | AdjNet +1.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.518 (#393) | AdjO 66.5 | AdjD 65.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.465 (#438) | AdjO 64.8 | AdjD 66.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.413 (#437) | 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 → | 0.419 (#429) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 891 (#385) | RD 96 | GP 22 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-14 | vs | Cal St. Monterey Bay | L | 54 - 60 |
| 2025-11-15 | vs | San Fran. St. | L | 55 - 62 |
| 2025-11-20 | vs | Cal St. East Bay | W | 74 - 63 |
| 2025-11-22 | vs | Chico St. | L | 69 - 76 |
| 2025-11-25 | @ | UC Santa Cruz | W | 87 - 80 |
| 2025-12-04 | @ | Vanguard | L | 60 - 83 |
| 2025-12-06 | @ | Westmont | L | 57 - 87 |
| 2025-12-16 | vs | Jessup | W | 83 - 60 |
| 2025-12-21 | vs | Dominican (CA) | L | 70 - 74 |
| 2026-01-03 | vs | Point Loma | L | 69 - 86 |
| 2026-01-10 | vs | Hawaii Hilo | W | 67 - 61 |
| 2026-01-15 | @ | Chaminade | W | 78 - 66 |
| 2026-01-17 | @ | Hawaii Pacific | L | 51 - 58 |
| 2026-01-22 | @ | Jessup | L | 64 - 68 |
| 2026-01-24 | vs | Fresno Pacific | W | 80 - 59 |
| 2026-01-26 | @ | Dominican (CA) | L | 53 - 58 |
| 2026-02-03 | @ | CUI | L | 67 - 75 |
| 2026-02-05 | @ | Point Loma | L | 62 - 78 |
| 2026-02-07 | @ | Biola | W | 79 - 74 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alberte Frisch | - | 19 | 35.5 | 19.0 | 4.3 | 3.6 | 2.5 | 0.3 | 4.9 | 14.8 | 9.8 | 49 | 2.3 | 8.3 | 47.5 | 39.8 | 77.3 | 2.37 | 57.3 | 53.7 |
| Laila Saenz | - | 14 | 25.1 | 11.4 | 3.4 | 1.3 | 1.8 | 0.2 | 1.3 | 8.8 | 8.0 | 97 | 6.5 | 23.2 | 48.0 | 47.0 | 71.4 | 1.73 | 61.6 | 60.6 |
| Jayonnah Carter | - | 19 | 26.3 | 7.1 | 2.3 | 2.8 | 2.8 | 0.2 | 2.7 | 6.4 | 6.1 | 7 | 0.3 | 1.2 | 34.4 | 27.6 | 66.2 | 1.81 | 44.8 | 37.7 |
| Kimberly Ceron-Romero | - | 15 | 18.4 | 6.6 | 3.5 | 0.5 | 0.7 | 1.3 | 2.1 | 5.7 | 4.9 | 44 | 2.6 | 16.0 | 51.2 | 0.0 | 61.1 | 0.09 | 52.7 | 51.2 |
| Zoe Carrillo | - | 19 | 24.3 | 6.6 | 7.4 | 1.4 | 0.8 | 0.6 | 2.1 | 5.8 | 8.9 | 17 | 0.8 | 4.7 | 49.5 | 33.3 | 66.7 | -2.99 | 52.0 | 50.0 |
| Mehkia Applewhite | - | 18 | 28.7 | 6.3 | 6.9 | 1.9 | 1.8 | 0.2 | 2.8 | 7.1 | 7.1 | 14 | 0.7 | 3.6 | 33.6 | 8.0 | 56.8 | 1.06 | 38.3 | 34.4 |
| Frida Schmidt | - | 18 | 25.6 | 5.6 | 2.7 | 1.1 | 0.6 | 0.4 | 1.0 | 6.6 | 2.6 | 5 | 0.2 | 1.5 | 31.1 | 26.5 | 0 | 0.57 | 42.0 | 42.0 |
| Taylor Westbrook | - | 19 | 14.0 | 4.7 | 2.6 | 0.3 | 0.1 | 0.5 | 1.0 | 4.7 | 2.5 | 8 | 0.4 | 2.5 | 40.0 | 11.1 | 51.6 | -0.51 | 42.9 | 40.6 |
| Angel Allen | - | 13 | 9.2 | 2.9 | 0.5 | 0.8 | 0.4 | 0.0 | 1.5 | 1.5 | 1.5 | -5 | -0.4 | -7.7 | 70.0 | 25.0 | 90.0 | -3.26 | 77.9 | 72.5 |
| Madeline Bader | - | 10 | 6.6 | 2.6 | 0.7 | 0.4 | 0.4 | 0.0 | 0.6 | 2.0 | 1.5 | -26 | -2.6 | -29.3 | 40.0 | 42.9 | 87.5 | -0.68 | 55.3 | 47.5 |
| Nadia Brown | - | 14 | 6.5 | 2.1 | 0.6 | 0.4 | 0.6 | 0.1 | 0.2 | 1.9 | 1.7 | -8 | -0.5 | -9.7 | 44.4 | 16.7 | 80.0 | -1.38 | 49.7 | 46.3 |
| Rachel Brans | - | 6 | 2.4 | 0.5 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | 0.2 | 6 | 0.9 | 30.1 | 25.0 | 33.3 | 0 | 1.06 | 37.5 | 37.5 |
| Faye Borchert | - | 6 | 4.0 | 0.3 | 1.2 | 0.0 | 0.2 | 0.2 | 0.3 | 0.7 | 0.8 | -10 | -1.2 | -22.6 | 25.0 | 0 | 0 | -0.83 | 25.0 | 25.0 |
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