Bethesda (CA)
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 → | 981 (#273) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 933 (#423) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 978 (#517) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -52.2 (#429) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -45.0 (#709) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.004 (#728) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.000 (#601) | NetEff -84.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.014 (#653) | AdjNet -36.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.012 (#657) | AdjNet -36.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.080 (#670) | AdjO 57.4 | AdjD 84.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.268 (#625) | AdjO 54.3 | AdjD 65.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.055 (#691) | 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 → | 0.073 (#685) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 897 (#416) | RD 315 | GP 1 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-12-12 | @ | Occidental | L | 29 - 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mary Gonzales | - | 1 | 37.7 | 15.0 | 3.0 | 0.0 | 3.0 | 0.0 | 4.0 | 21.0 | -4.0 | - | - | - | 28.6 | 50.0 | 66.7 | - | 33.6 | 31.0 |
| Genevieve Saechow | - | 1 | 39.1 | 8.0 | 5.0 | 0.0 | 2.0 | 0.0 | 2.0 | 16.0 | -3.0 | - | - | - | 18.8 | 0.0 | 100.0 | - | 23.7 | 18.8 |
| Sophie Jimenez | - | 1 | 35.5 | 4.0 | 2.0 | 2.0 | 2.0 | 0.0 | 1.0 | 10.0 | -1.0 | - | - | - | 10.0 | 0.0 | 50.0 | - | 17.0 | 10.0 |
| UNKNOWN TEAM | - | 1 | 36.8 | 2.0 | 5.0 | 0.0 | 2.0 | 0.0 | 2.0 | 4.0 | 3.0 | - | - | - | 25.0 | 0 | 0 | - | 25.0 | 25.0 |
| Marjorie Parada | - | 1 | 23.5 | 0.0 | 4.0 | 0.0 | 1.0 | 1.0 | 3.0 | 5.0 | -2.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
| Malo Faalaulau | - | 1 | 27.4 | 0.0 | 2.0 | 1.0 | 0.0 | 1.0 | 0.0 | 4.0 | 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