Stanton
Also known as: Stanton
Program History
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 → | 956 (#592) | HCA +56 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -18.4 (#663) | HCA +3.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.033 (#772) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.059 (#685) | AdjNet -24.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.057 (#683) | AdjNet -23.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.167 (#683) | AdjO 64.7 | AdjD 82.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.409 (#568) | AdjO 73.9 | AdjD 78.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.298 (#573) | 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 → | 0.306 (#582) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 906 (#473) | RD 225 | GP 1 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-01-25 | @ | UC Santa Cruz | L | 73 - 82 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Leo Wagner | - | 1 | 25.1 | 24.0 | 9.0 | 1.0 | 0.0 | 2.0 | 4.0 | 11.0 | 21.0 | -86 | -5.4 | -73.4 | 72.7 | 0.0 | 100.0 | -1.02 | 82.6 | 72.7 |
| Joe Espy | - | 1 | 24.0 | 22.0 | 11.0 | 0.0 | 1.0 | 3.0 | 2.0 | 13.0 | 22.0 | -93 | -5.2 | -54.2 | 69.2 | 0 | 66.7 | 0.06 | 70.3 | 69.2 |
| Jaden Gamez | - | 1 | 21.0 | 13.0 | 2.0 | 1.0 | 1.0 | 0.0 | 0.0 | 7.0 | 10.0 | 4 | 0.3 | 20.8 | 71.4 | 60.0 | 0 | -1.08 | 92.9 | 92.9 |
| Hunter Kennedy | - | 1 | 29.2 | 8.0 | 5.0 | 3.0 | 0.0 | 0.0 | 1.0 | 9.0 | 6.0 | -74 | -5.3 | -80.3 | 33.3 | 40.0 | 0 | -2.05 | 44.4 | 44.4 |
| Ben Lim | - | 1 | 21.6 | 6.0 | 1.0 | 1.0 | 0.0 | 0.0 | 3.0 | 6.0 | -1.0 | -76 | -5.4 | -37.0 | 33.3 | 0.0 | 100.0 | 0.43 | 43.6 | 33.3 |
| Thomas Conley | - | 1 | 27.7 | 4.0 | 4.0 | 1.0 | 1.0 | 0.0 | 2.0 | 6.0 | 2.0 | -109 | -6.8 | -77.8 | 0.0 | 0.0 | 80.0 | -2.27 | 24.4 | 0.0 |
| Miles Burrows | - | 1 | 12.9 | 2.0 | 1.0 | 2.0 | 0.0 | 0.0 | 2.0 | 4.0 | -1.0 | -27 | -1.6 | -20.1 | 25.0 | 0.0 | 0 | -2.35 | 25.0 | 25.0 |
| Aidan Carleson | - | 1 | 15.1 | 2.0 | 3.0 | 4.0 | 0.0 | 0.0 | 0.0 | 4.0 | 5.0 | -98 | -5.4 | -117.6 | 25.0 | 0.0 | 0 | -3.34 | 25.0 | 25.0 |
| Ollie Miller | - | 1 | 16.6 | 1.0 | 6.0 | 2.0 | 1.0 | 0.0 | 0.0 | 2.0 | 8.0 | -6 | -3.0 | -20.4 | 0.0 | 0.0 | 33.3 | -1.08 | 15.1 | 0.0 |
| Elijah Brookes | - | 1 | 6.8 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -6 | -0.5 | -55.4 | 0 | 0 | 0 | 0.68 | 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