Warren Wilson
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2024 yet, so this section is showing the latest available team-model rows.
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 → | 1015 (#245) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1022 (#251) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 912 (#603) | HCA +75 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -40.6 (#678) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.005 (#647) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.000 (#751) | AdjNet -64.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.000 (#745) | AdjNet -64.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.023 (#748) | AdjO 47.8 | AdjD 89.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.066 (#697) | AdjO 45.9 | AdjD 75.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.054 (#679) | 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 → | 0.063 (#682) | Blend of Elo, BT, Margin, PythLog, PtsOD |
2024 Schedule & Results
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tatyana Lewis | - | 1 | 40.0 | 17.0 | 7.0 | 6.0 | 9.0 | 0.0 | 5.0 | 21.0 | 13.0 | - | - | - | 33.3 | 20.0 | 25.0 | -0.05 | 37.3 | 38.1 |
| Jenna Onderko | - | 1 | 37.0 | 15.0 | 4.0 | 1.0 | 2.0 | 1.0 | 4.0 | 13.0 | 6.0 | - | - | - | 46.2 | 37.5 | 0 | - | 57.7 | 57.7 |
| Weronika Swojak | - | 1 | 40.0 | 12.0 | 14.0 | 1.0 | 3.0 | 2.0 | 2.0 | 13.0 | 17.0 | - | - | - | 38.5 | 33.3 | 50.0 | - | 43.2 | 42.3 |
| Zoey Gore | - | 1 | 31.0 | 7.0 | 3.0 | 0.0 | 0.0 | 0.0 | 4.0 | 8.0 | -2.0 | - | - | - | 37.5 | 50.0 | 0 | - | 43.8 | 43.8 |
| Sade Lawrence | - | 1 | 11.0 | 6.0 | 1.0 | 1.0 | 0.0 | 0.0 | 1.0 | 4.0 | 3.0 | - | - | - | 50.0 | 0 | 100.0 | - | 61.5 | 50.0 |
| Hailey Ripley | - | 1 | 40.0 | 4.0 | 6.0 | 1.0 | 1.0 | 0.0 | 5.0 | 11.0 | -4.0 | - | - | - | 18.2 | 0.0 | 0 | -0.39 | 18.2 | 18.2 |
| Mary Mirili | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Mari McNeal | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Sandy Selvaraju | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Baileigh Sinaman-Daniel | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Hayden Drescher | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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