Boston University Terriers
2023 Team Stats (4 games)
64.3
PPG
61.0
Opp
+3.2
Margin
42.6%
FG%
37.3%
3P%
63.5%
FT%
32.8
RPG
14.0
APG
11.3
TO
74.5
Pace
Model Outputs
2022-2023
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 875 (#341) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 882 (#354) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +8.0 (#284) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.230 (#276) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-12-13 | @ | Yale Bulldogs | L | 46 - 58 |
| 2023-03-06 | vs | Loyola Maryland Greyhounds | W | 66 - 52 |
| 2023-03-09 | vs | Army Black Knights | W | 84 - 68 |
| 2023-03-12 | vs | Holy Cross Crusaders | L | 61 - 66 |
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C. Weimar
|
F | 2 | 35.5 | 15.5 | 7.0 | 2.5 | 1.5 | 1.0 | 2.5 | 10.5 | 14.5 | - | - | - | 61.9 | 0 | 55.6 | - | 62.1 | 61.9 |
S. Johnson
|
G | 4 | 34.5 | 14.2 | 2.0 | 3.2 | 1.5 | 0.2 | 1.5 | 13.0 | 6.8 | - | - | - | 40.4 | 36.8 | 72.7 | - | 50.1 | 47.1 |
A. Giannaros
|
G | 4 | 30.2 | 12.2 | 2.8 | 2.2 | 0.8 | 0.0 | 1.2 | 8.8 | 8.0 | - | - | - | 48.6 | 47.6 | 100.0 | - | 65.9 | 62.9 |
M. Durant
|
F | 4 | 34.8 | 10.8 | 9.2 | 2.8 | 1.2 | 2.2 | 1.0 | 8.0 | 17.2 | - | - | - | 59.4 | 0 | 55.6 | - | 59.8 | 59.4 |
L. Davenport
|
G | 4 | 22.0 | 7.2 | 4.5 | 0.8 | 0.5 | 0.2 | 1.2 | 8.2 | 3.8 | - | - | - | 33.3 | 45.5 | 33.3 | - | 40.7 | 40.9 |
M. Pina
|
G | 4 | 30.0 | 5.0 | 1.8 | 1.8 | 2.2 | 0.0 | 1.0 | 7.2 | 2.5 | - | - | - | 27.6 | 23.1 | 50.0 | - | 33.5 | 32.8 |
S. Crispe
|
F | 4 | 13.8 | 3.2 | 3.2 | 1.2 | 0.2 | 0.0 | 1.2 | 2.8 | 4.0 | - | - | - | 45.5 | 0.0 | 75.0 | - | 50.9 | 45.5 |
L. Shean
|
G | 4 | 7.2 | 2.0 | 1.0 | 0.0 | 0.2 | 0.0 | 0.8 | 2.5 | 0.0 | - | - | - | 20.0 | 20.0 | 75.0 | - | 34.0 | 25.0 |
S. Beneventine
|
G | 4 | 12.0 | 1.8 | 0.5 | 0.8 | 0.5 | 0.0 | 1.0 | 1.5 | 1.0 | - | - | - | 33.3 | 40.0 | 50.0 | - | 50.9 | 50.0 |
K. Mingo
|
G | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
A. Semenova
|
F | 2 | 7.0 | 0.0 | 1.5 | 0.0 | 0.5 | 0.0 | 1.0 | 0.5 | 0.5 | - | - | - | 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