TaborModel 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 → | 922 (#404) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1078 (#92) | HCA +95 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 985 (#380) | HCA +95 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +37.6 (#5) | HCA +3.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -12.4 (#482) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.001 (#732) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.020 (#714) | AdjNet -33.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.017 (#721) | AdjNet -33.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.083 (#721) | AdjO 65.9 | AdjD 92.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.563 (#187) | AdjO 74.9 | AdjD 72.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.380 (#474) | AdjO 72.1 | AdjD 77.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.829 (#45) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.269 (#497) | 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 → | 0.812 (#50) | 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 → | 0.289 (#485) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1044 (#179) | RD 344 | GP 2 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 886 (#378) | RD 337 | GP 2 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-29 | @ | Mo. Southern St. | L | 56 - 104 |
| 2025-11-30 | @ | Central Mo. | L | 62 - 89 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Marvin Ruffin | - | 2 | 23.3 | 13.5 | 5.5 | 1.5 | 0.5 | 0.5 | 2.5 | 13.0 | 6.0 | - | - | - | 50.0 | 0.0 | 25.0 | - | 48.6 | 50.0 |
| Brett Buckingham | - | 2 | 25.2 | 11.0 | 3.0 | 1.0 | 1.0 | 0.0 | 2.5 | 8.0 | 5.5 | - | - | - | 56.2 | 0.0 | 80.0 | - | 60.4 | 56.2 |
| Zach Hiebert | - | 2 | 25.9 | 8.5 | 2.5 | 3.0 | 0.0 | 0.0 | 2.5 | 7.0 | 4.5 | - | - | - | 28.6 | 30.0 | 100.0 | - | 51.1 | 39.3 |
| Jackson Baer | - | 2 | 17.1 | 7.0 | 1.0 | 1.5 | 0.0 | 0.0 | 4.0 | 7.0 | -1.5 | - | - | - | 42.9 | 66.7 | 0.0 | - | 47.0 | 50.0 |
| Niieihii Blackbear | - | 2 | 21.2 | 5.0 | 3.5 | 0.0 | 1.0 | 0.0 | 0.0 | 6.0 | 3.5 | - | - | - | 41.7 | 0.0 | 0 | - | 41.7 | 41.7 |
| Joao Maria Serra Pereira | - | 2 | 18.6 | 3.5 | 3.5 | 1.5 | 0.0 | 0.0 | 1.5 | 5.5 | 1.5 | - | - | - | 27.3 | 0 | 50.0 | - | 29.5 | 27.3 |
| Gabe Kampling | - | 2 | 18.2 | 3.0 | 1.0 | 0.5 | 0.0 | 0.0 | 1.0 | 6.0 | -2.5 | - | - | - | 25.0 | 0.0 | 0 | - | 25.0 | 25.0 |
| Kam Kaniper | - | 2 | 11.7 | 3.0 | 1.5 | 0.5 | 1.0 | 0.0 | 1.5 | 3.5 | 1.0 | - | - | - | 28.6 | 0.0 | 50.0 | - | 34.2 | 28.6 |
| Kreeland Avery | - | 2 | 7.0 | 2.0 | 0.5 | 1.0 | 0.0 | 0.5 | 0.5 | 4.0 | -0.5 | - | - | - | 25.0 | 0.0 | 0 | - | 25.0 | 25.0 |
| Ibraheem Chaudri | - | 2 | 9.6 | 1.5 | 2.5 | 0.5 | 0.0 | 0.0 | 1.5 | 2.0 | 1.0 | - | - | - | 25.0 | 33.3 | 0 | - | 37.5 | 37.5 |
| James Shoenfelt | - | 2 | 12.8 | 1.0 | 2.5 | 1.5 | 1.0 | 0.0 | 0.5 | 0.0 | 5.5 | - | - | - | 0 | 0 | 100.0 | - | 113.6 | 0 |
| Batosse Gado | - | 2 | 5.5 | 0.0 | 0.5 | 0.0 | 0.5 | 0.0 | 0.5 | 2.0 | -1.5 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
| Creighton Kukula | - | 2 | 3.9 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 1.5 | -2.0 | - | - | - | 0.0 | 0.0 | 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