Walla Walla
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 → | 941 (#363) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 987 (#361) | HCA +95 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -16.2 (#510) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.013 (#633) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.111 (#613) | AdjNet -18.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.109 (#613) | AdjNet -17.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.208 (#621) | AdjO 72.3 | AdjD 87.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.430 (#427) | AdjO 74.5 | AdjD 77.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.273 (#493) | 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 → | 0.302 (#477) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 938 (#298) | RD 350 | GP 1 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-22 | @ | Central Wash. | L | 71 - 104 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Fabien Graham | - | 1 | 31.7 | 16.0 | 2.0 | 2.0 | 0.0 | 0.0 | 2.0 | 12.0 | 6.0 | - | - | - | 33.3 | 0.0 | 88.9 | - | 50.1 | 33.3 |
| Jalen Dunn | - | 1 | 22.1 | 15.0 | 1.0 | 2.0 | 2.0 | 0.0 | 1.0 | 9.0 | 10.0 | - | - | - | 55.6 | 42.9 | 100.0 | - | 75.9 | 72.2 |
| JT Fenz | - | 1 | 37.5 | 12.0 | 3.0 | 2.0 | 2.0 | 0.0 | 3.0 | 14.0 | 2.0 | - | - | - | 28.6 | 42.9 | 100.0 | - | 41.6 | 39.3 |
| Felix Rodriguez | - | 1 | 29.5 | 12.0 | 0.0 | 5.0 | 3.0 | 0.0 | 4.0 | 8.0 | 8.0 | - | - | - | 50.0 | 50.0 | 100.0 | - | 67.6 | 62.5 |
| Chike Ezeonu | - | 1 | 21.5 | 10.0 | 4.0 | 3.0 | 0.0 | 1.0 | 3.0 | 7.0 | 8.0 | - | - | - | 42.9 | 0 | 100.0 | - | 57.1 | 42.9 |
| Kieran Olson | - | 1 | 17.9 | 4.0 | 0.0 | 0.0 | 2.0 | 1.0 | 0.0 | 5.0 | 2.0 | - | - | - | 40.0 | 0 | 0 | - | 40.0 | 40.0 |
| Kieran Clasen | - | 1 | 17.9 | 4.0 | 0.0 | 0.0 | 2.0 | 1.0 | 0.0 | 5.0 | 2.0 | - | - | - | 40.0 | 0 | 0 | - | 40.0 | 40.0 |
| Ryan Tyler | - | 1 | 29.2 | 2.0 | 6.0 | 3.0 | 1.0 | 0.0 | 6.0 | 5.0 | 1.0 | - | - | - | 20.0 | 0 | 0 | - | 20.0 | 20.0 |
| Thomas Mestrov | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Dillon Wasser | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Kekoa Beard | - | 1 | 10.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | - | - | - | 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