Tufts
Also known as: Tufts
Program History
Model 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 |
|---|---|---|
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.855 (#139) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.797 (#235) | AdjNet +11.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.799 (#236) | AdjNet +11.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.698 (#233) | AdjO 82.0 | AdjD 72.8 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-12-30 | vs | Texas-Dallas | W | 84 - 72 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Scott Gyimesi | - | 1 | 27.0 | 15.0 | 7.0 | 2.0 | 1.0 | 0.0 | 0.0 | 11.0 | 14.0 | - | - | - | 54.5 | 0 | 75.0 | - | 58.8 | 54.5 |
| James Morakis | - | 1 | 23.0 | 14.0 | 9.0 | 4.0 | 2.0 | 1.0 | 1.0 | 12.0 | 17.0 | - | - | - | 41.7 | 25.0 | 100.0 | - | 52.6 | 45.8 |
| Jay Dieterle | - | 1 | 27.0 | 12.0 | 3.0 | 4.0 | 3.0 | 0.0 | 2.0 | 12.0 | 8.0 | - | - | - | 41.7 | 25.0 | 0 | - | 50.0 | 50.0 |
| Khai Champion | - | 1 | 24.0 | 11.0 | 3.0 | 3.0 | 1.0 | 0.0 | 0.0 | 11.0 | 7.0 | - | - | - | 36.4 | 40.0 | 100.0 | - | 48.1 | 45.5 |
| Casey McLaren | - | 1 | 25.0 | 10.0 | 2.0 | 2.0 | 1.0 | 2.0 | 0.0 | 6.0 | 11.0 | - | - | - | 66.7 | 50.0 | 0 | - | 83.3 | 83.3 |
| Joshua Bernstein | - | 1 | 15.0 | 6.0 | 4.0 | 1.0 | 0.0 | 3.0 | 0.0 | 4.0 | 10.0 | - | - | - | 75.0 | 0 | 0 | - | 75.0 | 75.0 |
| Jon Medley | - | 1 | 17.0 | 6.0 | 4.0 | 4.0 | 0.0 | 2.0 | 2.0 | 5.0 | 9.0 | - | - | - | 40.0 | 50.0 | 0 | - | 60.0 | 60.0 |
| Trumann Gettings | - | 1 | 13.0 | 5.0 | 3.0 | 1.0 | 0.0 | 0.0 | 3.0 | 4.0 | 2.0 | - | - | - | 50.0 | 0 | 25.0 | - | 43.4 | 50.0 |
| Quinn Cain | - | 1 | 3.0 | 3.0 | 1.0 | 0.0 | 1.0 | 0.0 | 2.0 | 1.0 | 2.0 | - | - | - | 100.0 | 100.0 | 0 | - | 150.0 | 150.0 |
| Liam Kennelly | - | 1 | 6.0 | 2.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 2.0 | 0.0 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
| Michael Berluti | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Theo Liu | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Jackson Patton | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Dylan Reilly | - | 1 | 3.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Bobby Stewart | - | 1 | 14.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Zion Watt | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Sidney Wooten | - | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 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