Tulsa
Also known as: Tulsa
Program History
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 → | 1060 (#151) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1003 (#256) | HCA +95 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +29.2 (#24) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.990 (#60) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.991 (#20) | AdjNet +40.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.992 (#17) | AdjNet +40.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.947 (#18) | AdjO 92.4 | AdjD 60.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.648 (#107) | AdjO 80.2 | AdjD 73.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.873 (#24) | 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 → | 0.833 (#34) | Blend of Elo, BT, Margin, PythLog, PtsOD |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-03 | vs | Okla. Christian | W | 100 - 57 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| David Green | - | 1 | 19.3 | 15.0 | 4.0 | 1.0 | 0.0 | 0.0 | 2.0 | 10.0 | 8.0 | -49 | -3.8 | -38.3 | 50.0 | 20.0 | 100.0 | -2.62 | 63.8 | 55.0 |
| Tylen Riley | - | 1 | 20.6 | 15.0 | 4.0 | 3.0 | 1.0 | 0.0 | 3.0 | 4.0 | 16.0 | - | - | - | 75.0 | 100.0 | 100.0 | - | 99.7 | 87.5 |
| Miles Barnstable | - | 1 | 24.9 | 14.0 | 4.0 | 2.0 | 0.0 | 1.0 | 0.0 | 10.0 | 11.0 | - | - | - | 50.0 | 33.3 | 100.0 | - | 64.3 | 60.0 |
| Ade Popoola | - | 1 | 21.5 | 12.0 | 6.0 | 1.0 | 0.0 | 1.0 | 0.0 | 11.0 | 9.0 | - | - | - | 36.4 | 14.3 | 100.0 | - | 48.7 | 40.9 |
| Romad Dean | - | 1 | 24.2 | 9.0 | 9.0 | 0.0 | 1.0 | 1.0 | 2.0 | 6.0 | 12.0 | - | - | - | 66.7 | 0.0 | 50.0 | - | 65.4 | 66.7 |
| Jaylen Lawal | - | 1 | 22.4 | 9.0 | 5.0 | 2.0 | 0.0 | 0.0 | 1.0 | 5.0 | 10.0 | - | - | - | 40.0 | 25.0 | 100.0 | - | 66.6 | 50.0 |
| Tyler Behrend | - | 1 | 20.8 | 8.0 | 8.0 | 2.0 | 0.0 | 0.0 | 1.0 | 8.0 | 9.0 | - | - | - | 37.5 | 0.0 | 50.0 | - | 41.0 | 37.5 |
| Ian Smikle | - | 1 | 15.6 | 6.0 | 9.0 | 2.0 | 0.0 | 2.0 | 1.0 | 2.0 | 16.0 | - | - | - | 50.0 | 0 | 50.0 | - | 54.3 | 50.0 |
| KJ Martin Jr. | - | 1 | 20.7 | 5.0 | 7.0 | 1.0 | 1.0 | 1.0 | 1.0 | 4.0 | 10.0 | 78 | 3.9 | 39.2 | 50.0 | 0.0 | 50.0 | -0.64 | 51.2 | 50.0 |
| Doryan Onwuchekwa | - | 1 | 3.6 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 2.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
| Cal Conroy | - | 1 | 1.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | - | - | - | 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