Boston University
2025 Team Stats (10 games)
69.1
PPG
65.2
Opp
+2.3
Margin
43.5%
FG%
35.5%
3P%
63.9%
FT%
37.0
RPG
13.4
APG
14.0
TO
77.7
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 → | 1037 (#128) | HCA +109 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 986 (#538) | HCA +109 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +8.8 (#243) | HCA +2.5 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -26.4 (#656) | HCA +2.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.560 (#167) | AdjO 74.3 | AdjD 71.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.324 (#681) | AdjO 69.2 | AdjD 77.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.701 (#223) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.122 (#654) | 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 → | 0.675 (#211) | 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 → | 0.154 (#665) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1011 (#233) | RD 133 | GP 31 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 809 (#658) | RD 350 | GP 4 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-08 | @ | San Diego Toreros | L | 60 - 74 |
| 2024-11-11 | @ | UCLA Bruins | L | 40 - 71 |
| 2024-11-16 | vs | Dartmouth Big Green | W | 78 - 50 |
| 2024-11-23 | @ | UMBC Retrievers | W | 75 - 71 |
| 2024-11-24 | @ | Howard Bison | W | 69 - 62 |
| 2024-12-01 | vs | Sacred Heart Pioneers | L | 65 - 73 |
| 2024-12-07 | vs | UAlbany Great Danes | W | 80 - 74 |
| 2024-12-09 | vs | Thomas (ME) Terriers | W | 113 - 75 |
| 2024-12-13 | @ | Merrimack Warriors | L | 61 - 64 |
| 2024-12-29 | @ | Maine Black Bears | W | 59 - 56 |
| 2025-01-02 | @ | Lafayette Leopards | L | 46 - 60 |
| 2025-01-05 | vs | Army Black Knights | W | 71 - 63 |
| 2025-01-08 | vs | American University Eagles | W | 60 - 54 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Alexander
|
G | 12 | 29.2 | 13.1 | 5.3 | 2.1 | 0.9 | 0.3 | 2.0 | 10.7 | 9.1 | -96 | -3.2 | -3.8 | 41.4 | 33.9 | 73.2 | -0.04 | 53.8 | 49.6 |
M. McNair
|
G | 13 | 27.2 | 11.3 | 3.3 | 1.6 | 0.3 | 0.2 | 1.5 | 8.0 | 7.2 | -79 | -2.6 | -3.1 | 45.2 | 43.0 | 90.5 | 0.0 | 64.9 | 61.5 |
Miles Brewster
|
G | 13 | 23.4 | 9.1 | 4.5 | 2.1 | 1.4 | 0.1 | 2.0 | 8.3 | 6.8 | -137 | -4.3 | -5.6 | 40.7 | 24.4 | 67.9 | -0.12 | 49.0 | 45.8 |
M. Chimezie
|
F | 13 | 22.2 | 7.9 | 5.6 | 0.9 | 0.2 | 0.9 | 1.7 | 5.3 | 8.6 | -158 | -4.9 | -7.4 | 59.4 | 0.0 | 46.7 | -1.01 | 58.0 | 59.4 |
A. Abdullah
|
G | 13 | 15.8 | 6.0 | 1.2 | 1.0 | 0.4 | 0.1 | 1.0 | 5.2 | 2.5 | 14 | 0.9 | 1.8 | 38.2 | 37.5 | 78.6 | 0.57 | 52.6 | 49.3 |
M. Baptiste
|
G | 9 | 21.8 | 5.7 | 4.4 | 1.1 | 1.3 | 0.2 | 1.4 | 4.8 | 6.6 | -87 | -14.5 | -17.1 | 41.9 | 38.1 | 70.0 | -0.05 | 53.8 | 51.2 |
Ben Palacios
|
- | 13 | 14.5 | 5.6 | 1.6 | 0.4 | 0.2 | 0.0 | 0.7 | 4.2 | 2.9 | -17 | -2.4 | -8.2 | 44.4 | 40.0 | 90.0 | -0.33 | 62.5 | 59.3 |
B. Defty
|
F | 13 | 11.8 | 4.8 | 2.7 | 0.4 | 0.1 | 0.5 | 1.0 | 3.2 | 4.4 | 21 | 1.4 | 4.9 | 68.3 | 0 | 50.0 | 0.21 | 66.8 | 68.3 |
O. Landrum
|
- | 7 | 17.4 | 3.4 | 3.7 | 1.7 | 0.7 | 0.6 | 1.4 | 3.0 | 5.7 | 48 | 3.0 | 5.6 | 33.3 | 20.0 | 75.0 | 0.75 | 45.7 | 35.7 |
B. Roy
|
G | 12 | 23.3 | 2.8 | 2.2 | 2.2 | 0.8 | 0.2 | 0.4 | 2.8 | 5.0 | -3 | -0.2 | -0.4 | 41.2 | 15.4 | 30.8 | 0.33 | 42.8 | 44.1 |
Nic Nobili
|
- | 9 | 16.6 | 1.9 | 3.6 | 1.2 | 0.1 | 0.2 | 1.1 | 3.2 | 2.7 | 14 | 0.7 | 1.0 | 20.7 | 6.7 | 57.1 | 0.59 | 26.5 | 22.4 |
Q. Nielsen
|
F | 4 | 2.8 | 1.8 | 1.5 | 0.0 | 0.0 | 0.2 | 0.5 | 0.8 | 2.2 | -2 | -1.0 | -35.8 | 66.7 | 0 | 42.9 | -1.57 | 57.6 | 66.7 |
Ryan Sutliff
|
- | 4 | 4.8 | 1.2 | 0.2 | 0.2 | 0.0 | 0.0 | 0.0 | 1.2 | 0.5 | -3 | -1.0 | -38.5 | 40.0 | 33.3 | 0.0 | -1.45 | 42.5 | 50.0 |
E. Okwuosa
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -8 | -8.0 | -8.0 | - | - | - | -0.48 | - | - |
S. Joyner
|
- | 1 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | -3.0 | -14 | -4.7 | -42.4 | 0.0 | 0 | 0 | -0.96 | 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