Boston University Terriers
2025 Team Stats (1 games)
32.0
PPG
86.0
Opp
-54.0
Margin
26.7%
FG%
29.4%
3P%
50.0%
FT%
30.0
RPG
5.0
APG
33.0
TO
80.6
Pace
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2025 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 |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 923 (#504) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +3.9 (#273) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.436 (#388) | AdjO 62.0 | AdjD 64.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.490 (#300) | 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 → | 0.466 (#297) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 847 (#502) | RD 142 | GP 27 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-07 | @ | UConn Huskies | L | 32 - 86 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Giannaros
|
G | 1 | 32.0 | 13.0 | 4.0 | 0.0 | 1.0 | 0.0 | 5.0 | 15.0 | -2.0 | 11 | 0.4 | 0.4 | 33.3 | 30.0 | 0 | 0.31 | 43.3 | 43.3 |
A. Gormley
|
G | 1 | 26.0 | 7.0 | 3.0 | 3.0 | 0.0 | 0.0 | 8.0 | 5.0 | 0.0 | 47 | 1.6 | 2.0 | 40.0 | 100.0 | 100.0 | 1.03 | 59.5 | 50.0 |
S. Bentley
|
F | 1 | 20.0 | 6.0 | 2.0 | 0.0 | 0.0 | 0.0 | 3.0 | 5.0 | 0.0 | 8 | 0.3 | 0.4 | 60.0 | 0 | 0 | 0.63 | 60.0 | 60.0 |
H. Gunnsteinsdottir
|
G | 1 | 5.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 1.0 | - | - | - | 100.0 | 100.0 | 0 | - | 150.0 | 150.0 |
B. McLaughlin
|
G | 1 | 14.0 | 2.0 | 1.0 | 1.0 | 0.0 | 0.0 | 5.0 | 6.0 | -7.0 | 5 | 0.2 | 0.2 | 16.7 | 0 | 0.0 | 0.35 | 14.5 | 16.7 |
A. Schwertner
|
F | 1 | 24.0 | 1.0 | 9.0 | 0.0 | 3.0 | 0.0 | 1.0 | 3.0 | 9.0 | -1 | -0.0 | -0.0 | 0.0 | 0 | 50.0 | 0.51 | 12.9 | 0.0 |
N. Jasper
|
G | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -4 | -0.4 | -3.0 | 0 | 0 | 0 | -0.9 | 0 | 0 |
A. Grane Torres
|
G | 1 | 5.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1 | 0.1 | 0.8 | 0 | 0 | 0 | -0.88 | 0 | 0 |
I. Monteagudo Pardo
|
G | 1 | 10.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | -3.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
A. Ericksen
|
G | 1 | 29.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 2.0 | 4.0 | -4.0 | 23 | 0.7 | 0.9 | 0.0 | 0.0 | 0 | 0.31 | 0.0 | 0.0 |
B. Baisley
|
G | 1 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -2 | -0.5 | -8.5 | 0 | 0 | 0 | -1.76 | 0 | 0 |
C. Warren
|
F | 1 | 14.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | -1.0 | -42 | -1.8 | -6.5 | 0.0 | 0 | 0 | -0.41 | 0.0 | 0.0 |
I. Gallegos
|
F | 1 | 17.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 4.0 | 2.0 | -4.0 | 11 | 0.6 | 1.8 | 0.0 | 0 | 0 | -0.04 | 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