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 → | 958 (#319) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 987 (#358) | HCA +95 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -21.4 (#536) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.002 (#715) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.019 (#720) | AdjNet -34.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.019 (#713) | AdjNet -33.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.094 (#709) | AdjO 62.6 | AdjD 87.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.392 (#465) | AdjO 73.0 | AdjD 77.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.231 (#516) | 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 → | 0.256 (#510) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 941 (#291) | RD 350 | GP 1 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-26 | @ | Northwest Mo. St. | L | 59 - 97 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DJ Leaks | - | 1 | 25.5 | 17.0 | 3.0 | 2.0 | 0.0 | 0.0 | 3.0 | 19.0 | 0.0 | - | - | - | 31.6 | 25.0 | 75.0 | - | 40.9 | 36.8 |
| Garrett Johnson | - | 1 | 13.2 | 5.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 6.0 | 1.0 | - | - | - | 16.7 | 33.3 | 100.0 | - | 36.3 | 25.0 |
| Rhino Hernandez | - | 1 | 16.1 | 4.0 | 1.0 | 1.0 | 0.0 | 1.0 | 4.0 | 3.0 | 0.0 | - | - | - | 66.7 | 0 | 0 | - | 66.7 | 66.7 |
| Devin Carroll | - | 1 | 16.9 | 3.0 | 2.0 | 0.0 | 0.0 | 0.0 | 2.0 | 6.0 | -3.0 | - | - | - | 16.7 | 20.0 | 0 | - | 25.0 | 25.0 |
| Kyane Taylor | - | 1 | 6.0 | 3.0 | 0.0 | 4.0 | 1.0 | 0.0 | 1.0 | 2.0 | 5.0 | 0 | 0.0 | 0.0 | 50.0 | 50.0 | 0 | 1.91 | 75.0 | 75.0 |
| Terrence Parker | - | 1 | 10.6 | 2.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 3.0 | 2.0 | 130 | 5.4 | 24.5 | 33.3 | 0.0 | 0 | 0.67 | 33.3 | 33.3 |
| Andrew Bennett | - | 1 | 11.5 | 2.0 | 5.0 | 0.0 | 1.0 | 0.0 | 1.0 | 1.0 | 6.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
| Ryan Lenear | - | 1 | 16.4 | 2.0 | 1.0 | 1.0 | 0.0 | 0.0 | 1.0 | 5.0 | -2.0 | - | - | - | 20.0 | 0.0 | 0 | - | 20.0 | 20.0 |
| Eli Nutting | - | 1 | 13.3 | 2.0 | 4.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | 1.0 | - | - | - | 25.0 | 0.0 | 0 | - | 25.0 | 25.0 |
| Dylan Holston | - | 1 | 12.8 | 0.0 | 4.0 | 0.0 | 0.0 | 1.0 | 0.0 | 5.0 | 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