Tulsa
Also known as: Tulsa
Program History
Model Outputs
2024-2025
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.990 (#60) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.896 (#60) | NetEff +19.3 |
| 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 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-04 | vs | Northeastern St. | W | 82 - 68 |
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Keaston Willis | - | 1 | 31.0 | 17.0 | 5.0 | 1.0 | 4.0 | 0.0 | 2.0 | 10.0 | 15.0 | -6 | -0.3 | -1.4 | 60.0 | 55.6 | 0 | 0.38 | 85.0 | 85.0 |
| Isaiah Barnes | - | 1 | 32.0 | 14.0 | 5.0 | 2.0 | 0.0 | 0.0 | 1.0 | 10.0 | 10.0 | - | - | - | 40.0 | 50.0 | 55.6 | - | 50.1 | 45.0 |
| Dwon Odom | - | 1 | 20.0 | 12.0 | 3.0 | 3.0 | 2.0 | 2.0 | 0.0 | 7.0 | 15.0 | - | - | - | 71.4 | 0.0 | 100.0 | - | 76.1 | 71.4 |
| Tyshawn Archie | - | 1 | 24.0 | 10.0 | 1.0 | 3.0 | 2.0 | 0.0 | 2.0 | 10.0 | 4.0 | - | - | - | 40.0 | 33.3 | 0.0 | - | 46.0 | 50.0 |
| Braeden Carrington | - | 1 | 25.0 | 10.0 | 7.0 | 1.0 | 1.0 | 0.0 | 1.0 | 7.0 | 11.0 | - | - | - | 28.6 | 40.0 | 80.0 | - | 54.3 | 42.9 |
| Matthew Reed | - | 1 | 23.0 | 7.0 | 3.0 | 1.0 | 1.0 | 0.0 | 0.0 | 7.0 | 5.0 | - | - | - | 42.9 | 0.0 | 33.3 | - | 42.1 | 42.9 |
| Jesaiah McWright | - | 1 | 14.0 | 5.0 | 2.0 | 1.0 | 1.0 | 1.0 | 2.0 | 4.0 | 4.0 | - | - | - | 50.0 | 50.0 | 0 | - | 62.5 | 62.5 |
| Ian Smikle | - | 1 | 13.0 | 3.0 | 7.0 | 0.0 | 0.0 | 1.0 | 0.0 | 4.0 | 7.0 | - | - | - | 25.0 | 0 | 100.0 | - | 33.8 | 25.0 |
| Tyler Behrend | - | 1 | 4.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | - | - | - | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
| Jaye Nash | - | 1 | 7.0 | 2.0 | 1.0 | 1.0 | 0.0 | 0.0 | 1.0 | 2.0 | 1.0 | - | - | - | 0.0 | 0.0 | 50.0 | - | 26.6 | 0.0 |
| Justin Amadi | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Cal Conroy | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Jared Garcia | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Ben Radford | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Ari Seals | - | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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