🐻⬇️🏀

Massachusetts

Season: 2026 2025
Also known as: Massachusetts
Program History

Model Outputs

2025-2026
Catalog

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 → 1036 (#210) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1086 (#170) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1023 (#277) HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +42.1 (#15) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.999 (#53) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +41.7 More → 0.992 (#37) AdjNet +41.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +41.4 More → 0.993 (#37) AdjNet +41.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 81.1 | AdjD 54.0 More → 0.922 (#62) AdjO 81.1 | AdjD 54.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 81.6 | AdjD 65.2 More → 0.815 (#19) AdjO 81.6 | AdjD 65.2
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 → 0.947 (#7) 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 → 0.930 (#7) Blend of Elo, BT, Margin, PythLog, PtsOD

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-12-22 vs UMass Boston W 91 - 40

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%
Leonardo Bettiol - 1 16.0 20.0 8.0 2.0 0.0 1.0 1.0 10.0 20.0 - - - 90.0 0.0 100.0 - 91.9 90.0
Danny Carbuccia - 1 23.9 11.0 4.0 5.0 1.0 0.0 3.0 6.0 12.0 - - - 66.7 33.3 50.0 - 70.9 75.0
Daniel Hankins-Sanford - 1 19.1 11.0 8.0 3.0 1.0 1.0 0.0 9.0 15.0 - - - 44.4 50.0 66.7 - 53.3 50.0
Charles Outlaw - 1 10.4 10.0 4.0 0.0 0.0 0.0 0.0 7.0 7.0 - - - 57.1 0 50.0 - 57.1 57.1
Jayden Ndjigue - 1 19.9 8.0 9.0 3.0 1.0 0.0 1.0 7.0 13.0 - - - 57.1 0.0 0 - 57.1 57.1
Luka Damjanac - 1 18.4 7.0 12.0 3.0 0.0 0.0 1.0 5.0 16.0 - - - 40.0 33.3 50.0 - 51.8 50.0
Isaiah Placide - 1 12.0 7.0 3.0 0.0 1.0 0.0 0.0 5.0 6.0 - - - 60.0 33.3 0 - 70.0 70.0
Dwayne Wimbley, Jr. - 1 16.5 7.0 7.0 0.0 1.0 0.0 1.0 7.0 7.0 78 4.6 27.3 42.9 50.0 0 2.91 50.0 50.0
Dimitri Clerc - 1 10.4 6.0 4.0 1.0 0.0 0.0 3.0 4.0 4.0 - - - 75.0 0 0 - 75.0 75.0
Marcus Banks - 1 17.7 2.0 2.0 3.0 1.0 0.0 0.0 5.0 3.0 - - - 20.0 0.0 0 - 20.0 20.0
K'Jei Parker - 1 12.4 2.0 0.0 4.0 2.0 0.0 2.0 4.0 2.0 - - - 0.0 0.0 100.0 - 20.5 0.0
Donovan Brown - 1 13.9 0.0 1.0 4.0 1.0 0.0 1.0 4.0 1.0 33 1.6 7.7 0.0 0.0 0 0.15 0.0 0.0
Rollie Castineyra - 1 9.3 0.0 0.0 0.0 0.0 0.0 0.0 3.0 -3.0 - - - 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