Biola
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 → | 1022 (#209) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1002 (#275) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 989 (#453) | HCA +75 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +7.6 (#136) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -1.7 (#390) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.226 (#476) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.419 (#296) | NetEff -2.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.439 (#431) | AdjNet -2.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.445 (#431) | AdjNet -1.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.487 (#422) | AdjO 59.6 | AdjD 60.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.506 (#349) | AdjO 60.6 | AdjD 60.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.499 (#357) | 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 → | 0.503 (#348) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 967 (#285) | RD 99 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-14 | vs | Westminster (UT) | - | Incomplete score |
| 2025-11-15 | vs | CSUSB | - | Incomplete score |
| 2025-11-22 | vs | Cal Poly Humboldt | - | Incomplete score |
| 2025-11-25 | @ | Cal Poly Pomona | - | Incomplete score |
| 2025-12-04 | @ | Fresno Pacific | - | Incomplete score |
| 2025-12-06 | @ | Jessup | - | Incomplete score |
| 2025-12-13 | @ | Westmont | - | Incomplete score |
| 2025-12-20 | vs | Alas. Fairbanks | - | Incomplete score |
| 2026-01-03 | vs | Vanguard | - | Incomplete score |
| 2026-01-13 | @ | Point Loma | - | Incomplete score |
| 2026-01-15 | vs | Westmont | - | Incomplete score |
| 2026-01-20 | @ | Hawaii Pacific | - | Incomplete score |
| 2026-01-22 | @ | Chaminade | - | Incomplete score |
| 2026-01-24 | @ | Hawaii Hilo | - | Incomplete score |
| 2026-01-29 | vs | Fresno Pacific | - | Incomplete score |
| 2026-01-31 | vs | Jessup | - | Incomplete score |
| 2026-02-02 | vs | Chaminade | - | Incomplete score |
| 2026-02-05 | vs | Hawaii Hilo | - | Incomplete score |
| 2026-02-07 | vs | Menlo | - | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Laney Grider | - | 19 | 31.1 | 14.6 | 4.7 | 3.1 | 2.0 | 0.4 | 2.7 | 10.8 | 11.2 | 167 | 8.0 | 25.4 | 48.1 | 28.1 | 77.2 | 5.07 | 57.5 | 52.4 |
| Grace Moyers | - | 18 | 26.2 | 10.0 | 1.7 | 1.7 | 1.1 | 0.2 | 1.6 | 9.5 | 3.7 | 52 | 2.6 | 9.2 | 33.3 | 35.7 | 93.8 | -0.34 | 50.6 | 48.2 |
| Hanne Nybo | - | 19 | 22.4 | 8.7 | 5.7 | 0.9 | 1.2 | 0.2 | 2.1 | 6.6 | 8.0 | 80 | 3.8 | 18.2 | 51.6 | 24.0 | 80.6 | 0.4 | 58.2 | 54.0 |
| Alyssa Kubo | - | 19 | 24.6 | 7.5 | 2.4 | 2.2 | 1.2 | 0.0 | 1.7 | 7.3 | 4.2 | 61 | 2.8 | 11.3 | 35.3 | 29.4 | 67.6 | 0.65 | 46.0 | 42.4 |
| Jaycee Goldsmith | - | 19 | 24.9 | 6.6 | 6.7 | 1.4 | 1.3 | 1.4 | 1.9 | 5.8 | 9.7 | 80 | 3.6 | 14.7 | 42.3 | 29.2 | 65.4 | 1.0 | 51.0 | 48.6 |
| Camden Miller | - | 9 | 18.7 | 5.8 | 5.4 | 1.2 | 0.7 | 0.0 | 2.8 | 5.1 | 5.2 | 75 | 7.5 | 23.7 | 47.8 | 8.3 | 58.3 | 2.95 | 50.7 | 48.9 |
| Aliyah Bantolina | - | 18 | 23.3 | 4.8 | 2.8 | 2.6 | 0.9 | 0.2 | 3.3 | 4.5 | 3.5 | 73 | 3.6 | 15.1 | 45.7 | 11.1 | 50.0 | 0.1 | 47.5 | 46.3 |
| Alyssa Goode | - | 3 | 4.3 | 4.3 | 1.0 | 0.0 | 0.3 | 0.0 | 0.7 | 2.7 | 2.3 | 12 | 4.0 | 99.7 | 50.0 | 42.9 | 100.0 | - | 73.2 | 68.8 |
| Kayla Jones | - | 6 | 5.8 | 3.2 | 0.7 | 0.2 | 0.3 | 0.0 | 0.2 | 3.8 | 0.3 | 35 | 5.0 | 76.4 | 26.1 | 40.0 | 50.0 | 1.2 | 39.8 | 39.1 |
| Danya Dykstra | - | 19 | 14.8 | 3.0 | 2.7 | 0.4 | 0.5 | 0.8 | 0.8 | 3.3 | 3.4 | 45 | 2.1 | 12.6 | 31.7 | 28.6 | 75.0 | 0.43 | 44.0 | 42.9 |
| Addison Taylor | - | 13 | 12.7 | 2.9 | 2.7 | 0.4 | 0.6 | 0.2 | 0.9 | 2.5 | 3.3 | 2 | 0.1 | 1.2 | 51.5 | 50.0 | 100.0 | -1.56 | 55.4 | 53.0 |
| MiaGrace Delahoz | - | 18 | 11.1 | 2.2 | 0.8 | 0.9 | 0.6 | 0.1 | 0.7 | 1.8 | 2.1 | 16 | 0.8 | 5.9 | 40.6 | 45.5 | 60.0 | -1.88 | 57.0 | 56.2 |
| Emily Cruz | - | 10 | 10.3 | 2.1 | 2.7 | 1.1 | 0.1 | 0.1 | 1.5 | 2.2 | 2.4 | 14 | 1.3 | 10.0 | 27.3 | 10.0 | 53.3 | -1.31 | 36.7 | 29.5 |
| Lizzy Weber | - | 6 | 9.3 | 1.8 | 0.3 | 0.8 | 1.0 | 0.0 | 0.8 | 1.0 | 2.2 | -13 | -1.9 | -19.3 | 66.7 | 66.7 | 50.0 | -0.28 | 79.9 | 83.3 |
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