La Sierra
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 → | 1035 (#157) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1086 (#173) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 963 (#375) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1022 (#284) | HCA +62 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +4.5 (#285) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.950 (#202) | - |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.045 (#671) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.988 (#123) | AdjNet +37.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.256 (#469) | AdjNet -9.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.988 (#126) | AdjNet +37.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.255 (#463) | AdjNet -9.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.870 (#138) | AdjO 71.0 | AdjD 50.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.323 (#489) | AdjO 63.2 | AdjD 71.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.518 (#358) | AdjO 64.0 | AdjD 63.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.574 (#312) | 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 → | 0.582 (#311) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1073 (#220) | RD 311 | GP 2 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-19 | vs | Cal Lutheran | L | 67 - 89 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yasmine Garrett | - | 1 | 25.0 | 18.0 | 3.0 | 1.0 | 2.0 | 0.0 | 2.0 | 13.0 | 9.0 | - | - | - | 53.8 | 40.0 | 100.0 | - | 64.8 | 61.5 |
| Brianna Matthews | - | 1 | 16.0 | 12.0 | 3.0 | 1.0 | 0.0 | 0.0 | 2.0 | 8.0 | 6.0 | 22 | 1.8 | 10.9 | 37.5 | 66.7 | 100.0 | 1.53 | 61.5 | 50.0 |
| Akilah Watson | - | 1 | 23.0 | 8.0 | 4.0 | 1.0 | 1.0 | 0.0 | 2.0 | 6.0 | 6.0 | 121 | 6.4 | 26.0 | 33.3 | 50.0 | 75.0 | 7.22 | 51.5 | 41.7 |
| Kayleen Vasquez | - | 1 | 18.0 | 8.0 | 3.0 | 1.0 | 2.0 | 1.0 | 4.0 | 7.0 | 4.0 | -6 | -0.4 | -2.9 | 57.1 | 0.0 | 0 | -2.22 | 57.1 | 57.1 |
| Brookelyn Thomas | - | 1 | 9.0 | 4.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 7.0 | - | - | - | 0 | 0 | 66.7 | - | 75.8 | 0 |
| Emily Liu | - | 1 | 9.0 | 4.0 | 2.0 | 0.0 | 0.0 | 1.0 | 1.0 | 2.0 | 4.0 | - | - | - | 50.0 | 0.0 | 100.0 | - | 69.4 | 50.0 |
| Dana Cephas | - | 1 | 10.0 | 4.0 | 2.0 | 0.0 | 0.0 | 1.0 | 0.0 | 4.0 | 3.0 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
| Angeline Valdivia | - | 1 | 10.0 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 4.0 | 2.0 | -2.0 | - | - | - | 50.0 | 0 | 100.0 | - | 61.5 | 50.0 |
| Ty Peters | - | 1 | 13.0 | 3.0 | 3.0 | 1.0 | 3.0 | 0.0 | 6.0 | 2.0 | 2.0 | - | - | - | 50.0 | 0.0 | 50.0 | - | 52.1 | 50.0 |
| Sydeny Wilson | - | 1 | 13.0 | 2.0 | 1.0 | 1.0 | 2.0 | 0.0 | 2.0 | 2.0 | 2.0 | 48 | 2.7 | 34.3 | 0.0 | 0.0 | 50.0 | 1.92 | 26.6 | 0.0 |
| Alia Wilson | - | 1 | 17.0 | 1.0 | 2.0 | 1.0 | 0.0 | 0.0 | 1.0 | 1.0 | 2.0 | 35 | 2.2 | 47.6 | 0.0 | 0.0 | 50.0 | -0.36 | 26.6 | 0.0 |
| Maysan Raliegh | - | 1 | 6.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Savannah Puskarov | - | 1 | 5.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0.0 | - | 0.0 | 0.0 |
| Alexis Gonzalez | - | 1 | 5.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 55 | 3.9 | 99.3 | 0 | 0 | 0 | 0.46 | 0 | 0 |
| Naoime Munane | - | 1 | 18.0 | 0.0 | 3.0 | 1.0 | 3.0 | 1.0 | 1.0 | 1.0 | 6.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
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