TaborModel 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 |
|---|---|---|
| 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 (#496) | 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 (#49) | 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 → | 886 (#386) | RD 337 | GP 2 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-12-11 | @ | Central Okla. | L | 57 - 105 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Matthew Willenborg | - | 1 | 21.0 | 14.0 | 10.0 | 1.0 | 1.0 | 2.0 | 0.0 | 8.0 | 20.0 | 9 | 0.4 | 9.7 | 75.0 | 0 | 100.0 | 0.22 | 78.8 | 75.0 |
| Luke Haasl | - | 1 | 14.0 | 12.0 | 4.0 | 0.0 | 1.0 | 1.0 | 0.0 | 8.0 | 10.0 | 30 | 4.3 | 18.0 | 62.5 | 0.0 | 100.0 | 0.65 | 67.6 | 62.5 |
| Parker Hannah | - | 1 | 11.0 | 10.0 | 1.0 | 2.0 | 0.0 | 0.0 | 0.0 | 6.0 | 7.0 | 61 | 3.4 | 876.6 | 50.0 | 50.0 | 100.0 | -1.27 | 72.7 | 66.7 |
| Jayln Turner | - | 1 | 9.0 | 5.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 4.0 | 19 | 2.7 | 10.3 | 66.7 | 0 | 100.0 | 0.9 | 72.7 | 66.7 |
| Jarreth Ingram | - | 1 | 15.0 | 2.0 | 3.0 | 2.0 | 0.0 | 1.0 | 1.0 | 2.0 | 5.0 | -12 | -2.4 | -121.5 | 50.0 | 0.0 | 0 | -1.1 | 50.0 | 50.0 |
| Gunner Korstjens | - | 1 | 6.0 | 2.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 3.0 | 1.0 | - | - | - | 33.3 | 0.0 | 0 | - | 33.3 | 33.3 |
| Caiden Punt | - | 1 | 11.0 | 2.0 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 5.0 | 1.0 | -49 | -5.4 | -82.6 | 20.0 | 0.0 | 0 | -0.18 | 20.0 | 20.0 |
| Preston Aymond | - | 1 | 11.0 | 1.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | - | - | - | 0.0 | 0 | 50.0 | - | 26.6 | 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