Boston U.
Also known as: Boston U.
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 → | 0.998 (#131) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.982 (#135) | AdjNet +34.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.982 (#136) | AdjNet +33.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.877 (#137) | AdjO 74.2 | AdjD 52.6 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-12-12 | vs | Emmanuel (MA) | W | 80 - 47 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Caitlin Weimar | - | 1 | 28.0 | 20.0 | 10.0 | 4.0 | 2.0 | 3.0 | 5.0 | 12.0 | 22.0 | - | - | - | 66.7 | 0 | 57.1 | - | 66.3 | 66.7 |
| Anastasiia Semenova | - | 1 | 24.0 | 16.0 | 6.0 | 2.0 | 1.0 | 2.0 | 1.0 | 10.0 | 16.0 | - | - | - | 80.0 | 0 | 0 | - | 80.0 | 80.0 |
| Alex Giannaros | - | 1 | 23.0 | 16.0 | 3.0 | 2.0 | 4.0 | 0.0 | 1.0 | 9.0 | 15.0 | - | - | - | 66.7 | 50.0 | 100.0 | - | 84.7 | 83.3 |
| Kelsi Mingo | - | 1 | 20.0 | 7.0 | 2.0 | 3.0 | 1.0 | 0.0 | 0.0 | 8.0 | 5.0 | - | - | - | 37.5 | 20.0 | 0 | - | 43.8 | 43.8 |
| Aina Grane Torres | - | 1 | 14.0 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 5.0 | -1.0 | - | - | - | 40.0 | 100.0 | 0 | 0.01 | 50.0 | 50.0 |
| Inés Monteagudo | - | 1 | 15.0 | 5.0 | 2.0 | 2.0 | 1.0 | 0.0 | 0.0 | 5.0 | 5.0 | - | - | - | 40.0 | 50.0 | 0 | - | 50.0 | 50.0 |
| Emelia O'Gilvie | - | 1 | 6.0 | 4.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 2.0 | - | - | - | 66.7 | 0 | 0 | - | 66.7 | 66.7 |
| Audrey Ericksen | - | 1 | 23.0 | 3.0 | 1.0 | 1.0 | 2.0 | 0.0 | 1.0 | 4.0 | 2.0 | - | - | - | 25.0 | 50.0 | 0 | - | 37.5 | 37.5 |
| Natalie Jasper | - | 1 | 8.0 | 2.0 | 0.0 | 1.0 | 1.0 | 0.0 | 1.0 | 2.0 | 1.0 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
| Aoibhe Gormley | - | 1 | 20.0 | 2.0 | 0.0 | 3.0 | 1.0 | 0.0 | 2.0 | 2.0 | 2.0 | - | - | - | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
| Sophie Beneventine | - | 1 | 16.0 | 0.0 | 1.0 | 4.0 | 0.0 | 0.0 | 2.0 | 1.0 | 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