🐻⬇️🏀

Boston University

Also known as: Boston University Terriers
Program History

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
Catalog

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. HCA +109 elo More → 1037 (#128) HCA +109 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +109 elo More → 986 (#538) HCA +109 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.5 More → +8.8 (#243) HCA +2.5
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.5 More → -26.4 (#656) HCA +2.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 74.3 | AdjD 71.7 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. AdjO 69.2 | AdjD 77.3 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. RD 133 | GP 31 More → 1011 (#233) RD 133 | GP 31
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 4 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 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 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 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 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 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 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 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 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 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 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 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 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 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 E. Okwuosa G 0 - 0.0 0.0 0.0 - - - - - -8 -8.0 -8.0 - - - -0.48 - -
S. Joyner 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