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 → | 938 (#372) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 986 (#365) | HCA +95 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -5.7 (#405) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.598 (#288) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.587 (#370) | AdjNet +3.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.587 (#371) | AdjNet +3.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.561 (#369) | AdjO 76.9 | AdjD 74.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.485 (#337) | AdjO 74.5 | AdjD 75.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.402 (#399) | 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 → | 0.408 (#395) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 908 (#350) | RD 350 | GP 1 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-18 | @ | Mississippi Col. | L | 74 - 75 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Phil Nelson | - | 1 | 33.5 | 25.0 | 1.0 | 1.0 | 2.0 | 0.0 | 2.0 | 10.0 | 17.0 | -80 | -3.8 | -21.0 | 50.0 | 50.0 | 82.4 | -2.93 | 71.5 | 55.0 |
| Marcel Bridges | - | 1 | 37.4 | 18.0 | 5.0 | 1.0 | 1.0 | 1.0 | 3.0 | 14.0 | 9.0 | -48 | -4.8 | -36.4 | 57.1 | 0.0 | 50.0 | 0.61 | 57.1 | 57.1 |
| DeMarcus Powe | - | 1 | 36.1 | 12.0 | 5.0 | 4.0 | 1.0 | 0.0 | 1.0 | 14.0 | 7.0 | -22 | -1.0 | -6.5 | 35.7 | 14.3 | 50.0 | -1.95 | 40.3 | 39.3 |
| Jakob Vigneault | - | 1 | 22.1 | 12.0 | 3.0 | 0.0 | 2.0 | 0.0 | 3.0 | 5.0 | 9.0 | 22 | 1.1 | 24.6 | 80.0 | 66.7 | 66.7 | 1.22 | 94.9 | 100.0 |
| Avaughn Johnson | - | 1 | 21.2 | 5.0 | 3.0 | 1.0 | 2.0 | 0.0 | 2.0 | 5.0 | 4.0 | -88 | -4.2 | -22.7 | 40.0 | 33.3 | 0.0 | -2.29 | 42.5 | 50.0 |
| Tremaine Dixon | - | 1 | 16.8 | 3.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 3.0 | 2.0 | -104 | -4.3 | -29.9 | 33.3 | 50.0 | 0 | -0.62 | 50.0 | 50.0 |
| Brody Davis | - | 1 | 11.4 | 0.0 | 1.0 | 1.0 | 0.0 | 1.0 | 4.0 | 0.0 | -1.0 | -4 | -0.3 | -5.0 | 0 | 0 | 0 | -0.62 | 0 | 0 |
| Judah Land | - | 1 | 19.8 | 0.0 | 4.0 | 2.0 | 0.0 | 3.0 | 1.0 | 2.0 | 6.0 | -8 | -0.3 | -2.6 | 0.0 | 0.0 | 0 | -2.65 | 0.0 | 0.0 |
| Efe Tahmaz | - | 1 | 1.7 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 16 | 1.8 | 25.0 | 0 | 0 | 0 | 1.47 | 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