Boston University Terriers
2026 Team Stats (27 games)
59.6
PPG
62.1
Opp
-2.5
Margin
44.7%
FG%
34.9%
3P%
64.1%
FT%
33.4
RPG
14.1
APG
14.9
TO
71.5
Pace
Model Outputs
2025-2026
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 |
2026 Schedule & Results
2026 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. Adler
|
F | 24 | 27.5 | 15.0 | 6.1 | 2.2 | 0.4 | 1.8 | 2.5 | 13.1 | 9.9 | 37 | 1.8 | 3.0 | 49.2 | 0 | 58.8 | 1.68 | 51.1 | 49.2 |
A. Semenova
|
F | 24 | 27.6 | 9.5 | 5.7 | 0.8 | 0.3 | 0.7 | 1.8 | 7.7 | 7.4 | -21 | -0.9 | -1.7 | 50.8 | 22.5 | 83.8 | 0.6 | 56.6 | 53.2 |
B. McLaughlin
|
G | 25 | 25.4 | 8.2 | 3.1 | 3.1 | 0.9 | 0.1 | 2.5 | 6.9 | 6.0 | -17 | -0.8 | -1.5 | 43.6 | 25.0 | 64.5 | 0.68 | 50.1 | 45.6 |
I. Monteagudo Pardo
|
G | 25 | 23.6 | 7.0 | 1.8 | 2.0 | 0.6 | 0.2 | 1.3 | 5.4 | 4.8 | - | - | - | 44.1 | 44.2 | 25.0 | - | 63.2 | 63.6 |
H. Gunnsteinsdottir
|
G | 27 | 24.1 | 5.8 | 2.4 | 1.9 | 0.7 | 0.4 | 1.4 | 4.6 | 5.1 | - | - | - | 43.5 | 38.2 | 70.4 | - | 57.4 | 55.2 |
A. Schwertner
|
F | 27 | 18.4 | 4.6 | 3.8 | 0.5 | 0.3 | 0.6 | 1.7 | 4.0 | 4.1 | -73 | -3.2 | -7.1 | 47.7 | 33.3 | 53.8 | -3.05 | 49.9 | 48.1 |
S. Bentley
|
F | 5 | 14.0 | 4.4 | 4.2 | 0.6 | 0.6 | 0.8 | 1.6 | 3.6 | 5.4 | -35 | -5.8 | -39.6 | 55.6 | 0 | 66.7 | -0.78 | 56.9 | 55.6 |
R. Azmoudeh
|
G | 27 | 17.6 | 4.4 | 1.2 | 0.8 | 0.3 | 0.0 | 0.6 | 3.9 | 2.3 | -27 | -1.2 | -4.6 | 39.0 | 38.0 | 0 | 2.8 | 57.1 | 57.1 |
A. Ericksen
|
G | 26 | 20.4 | 3.2 | 2.7 | 1.3 | 0.5 | 0.3 | 1.0 | 3.5 | 3.6 | -51 | -2.3 | -4.8 | 31.1 | 25.0 | 91.7 | -1.14 | 43.0 | 39.4 |
K. Allard
|
F | 15 | 10.0 | 3.1 | 1.7 | 0.1 | 0.1 | 0.1 | 0.4 | 2.1 | 2.6 | -25 | -3.1 | -16.2 | 53.1 | 40.0 | 55.0 | -2.64 | 57.6 | 56.2 |
B. Baisley
|
G | 2 | 7.0 | 3.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 1.5 | 1.5 | 10 | 5.0 | 263.7 | 100.0 | 0 | 0 | 0.18 | 100.0 | 100.0 |
A. Gormley
|
G | 13 | 22.8 | 2.9 | 3.1 | 2.3 | 0.7 | 0.2 | 1.1 | 3.0 | 5.1 | -48 | -4.0 | -9.2 | 35.9 | 33.3 | 83.3 | -3.08 | 45.6 | 42.3 |
T. Williams
|
G | 20 | 9.8 | 2.1 | 1.4 | 1.4 | 0.6 | 0.1 | 1.0 | 2.5 | 1.9 | -11 | -0.5 | -1.5 | 30.0 | 18.2 | 52.6 | 0.55 | 36.0 | 32.0 |
I. Gallegos
|
F | 3 | 8.3 | 1.7 | 1.7 | 0.0 | 0.0 | 0.3 | 1.0 | 2.7 | 0.0 | -20 | -6.7 | -133.3 | 25.0 | 0.0 | 100.0 | 0.42 | 29.6 | 25.0 |
A. Grane Torres
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 0 | 0.0 | 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