Washington Adventist
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1012 (#226) | HCA +95 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +0.2 (#324) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.029 (#582) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.150 (#579) | AdjNet -15.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.145 (#581) | AdjNet -15.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.219 (#613) | AdjO 78.3 | AdjD 92.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.561 (#194) | AdjO 78.4 | AdjD 75.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.542 (#286) | 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 → | 0.534 (#289) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1123 (#99) | RD 350 | GP 1 |
2026 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ace Glass lll | - | 1 | 27.0 | 26.0 | 2.0 | 1.0 | 1.0 | 0.0 | 3.0 | 15.0 | 12.0 | - | - | - | 53.3 | 50.0 | 100.0 | - | 71.9 | 63.3 |
| Rihards Vavers | - | 1 | 26.0 | 25.0 | 6.0 | 0.0 | 1.0 | 0.0 | 0.0 | 13.0 | 19.0 | - | - | - | 53.8 | 58.3 | 100.0 | - | 84.7 | 80.8 |
| Eemeli Yalaho | - | 1 | 24.6 | 10.0 | 9.0 | 1.0 | 1.0 | 1.0 | 3.0 | 5.0 | 14.0 | - | - | - | 60.0 | 0.0 | 100.0 | - | 74.0 | 60.0 |
| Jerone Morton | - | 1 | 29.2 | 6.0 | 5.0 | 4.0 | 2.0 | 1.0 | 1.0 | 7.0 | 10.0 | - | - | - | 42.9 | 0.0 | 0 | - | 42.9 | 42.9 |
| ND Okafor | - | 1 | 19.6 | 6.0 | 6.0 | 1.0 | 0.0 | 1.0 | 5.0 | 4.0 | 5.0 | - | - | - | 75.0 | 0 | 0.0 | - | 61.5 | 75.0 |
| Adria Rodriguez | - | 1 | 27.4 | 6.0 | 6.0 | 6.0 | 3.0 | 0.0 | 4.0 | 4.0 | 13.0 | 2 | 0.3 | 6.1 | 50.0 | 0 | 50.0 | 1.32 | 52.1 | 50.0 |
| Kase Wynott | - | 1 | 6.8 | 6.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 3.0 | 3.0 | - | - | - | 66.7 | 100.0 | 0 | - | 100.0 | 100.0 |
| Tomas Thrastarson | - | 1 | 16.7 | 4.0 | 2.0 | 0.0 | 0.0 | 0.0 | 2.0 | 5.0 | -1.0 | - | - | - | 40.0 | 0.0 | 0.0 | - | 31.6 | 40.0 |
| Simon Hildebrandt | - | 1 | 10.2 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | - | - | - | 0.0 | 0.0 | 50.0 | - | 26.6 | 0.0 |
| Parker Gerrits | - | 1 | 12.3 | 0.0 | 4.0 | 3.0 | 2.0 | 0.0 | 2.0 | 0.0 | 7.0 | - | - | - | 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