UMass
2026 Team Stats (30 games)
80.8
PPG
78.6
Opp
+2.2
Margin
47.3%
FG%
34.7%
3P%
67.5%
FT%
37.4
RPG
17.2
APG
12.8
TO
84.0
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 → | 953 (#596) | HCA +109 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +11.5 (#209) | HCA +2.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.557 (#172) | AdjO 78.9 | AdjD 76.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.728 (#202) | 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 → | 0.688 (#203) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1025 (#218) | RD 133 | GP 30 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
L. Bettiol
|
F | 30 | 28.9 | 18.3 | 7.9 | 2.2 | 0.7 | 0.2 | 2.7 | 10.8 | 15.7 | 31 | 2.4 | 7.4 | 62.3 | 33.3 | 69.1 | 0.8 | 66.0 | 62.5 |
M. Banks Jr.
|
- | 30 | 32.9 | 16.3 | 2.5 | 1.8 | 1.2 | 0.1 | 1.2 | 13.4 | 7.3 | 312 | 14.2 | 27.4 | 40.6 | 37.2 | 83.8 | 2.37 | 56.3 | 53.1 |
D. Hankins-Sanford
|
- | 27 | 29.1 | 11.4 | 7.4 | 1.3 | 0.6 | 0.5 | 1.2 | 9.3 | 10.7 | 36 | 2.6 | 10.2 | 46.0 | 26.0 | 63.4 | 0.31 | 52.1 | 48.6 |
K. Parker
|
- | 30 | 20.5 | 10.6 | 1.7 | 1.9 | 0.7 | 0.0 | 1.3 | 7.6 | 5.9 | -80 | -4.0 | -14.5 | 45.4 | 41.7 | 91.1 | -0.38 | 62.5 | 58.1 |
D. Carbuccia
|
- | 30 | 28.3 | 7.4 | 1.9 | 6.6 | 1.0 | 0.0 | 2.0 | 6.7 | 8.1 | 150 | 6.5 | 21.7 | 45.0 | 25.5 | 42.4 | 0.45 | 48.5 | 48.5 |
J. Ndjigue
|
- | 30 | 26.7 | 6.4 | 5.3 | 1.9 | 1.1 | 0.4 | 1.5 | 4.5 | 9.2 | 49 | 4.5 | 11.6 | 50.0 | 23.1 | 70.7 | 0.45 | 57.8 | 52.2 |
I. Placide
|
- | 27 | 8.8 | 3.9 | 1.0 | 0.3 | 0.1 | 0.1 | 0.3 | 3.1 | 2.1 | -15 | -1.5 | -20.5 | 39.8 | 41.7 | 65.2 | -0.19 | 56.9 | 54.8 |
D. Clerc
|
- | 24 | 8.4 | 3.3 | 2.5 | 0.1 | 0.2 | 0.2 | 0.8 | 2.1 | 3.3 | 10 | 0.6 | 9.6 | 60.8 | 0 | 44.7 | 0.33 | 58.3 | 60.8 |
D. Wimbley Jr.
|
- | 30 | 13.6 | 2.4 | 2.1 | 0.5 | 0.5 | 0.3 | 0.9 | 2.9 | 1.9 | -43 | -3.1 | -11.8 | 32.2 | 20.0 | 60.0 | 1.14 | 38.5 | 36.2 |
L. Damjanac
|
- | 28 | 9.8 | 2.4 | 2.6 | 0.7 | 0.1 | 0.1 | 0.5 | 1.6 | 3.8 | -12 | -1.3 | -20.0 | 58.7 | 30.0 | 64.7 | -0.2 | 63.6 | 62.0 |
C. Outlaw
|
- | 7 | 3.7 | 1.7 | 1.1 | 0.0 | 0.1 | 0.3 | 0.3 | 1.4 | 1.6 | -4 | -0.7 | -115.7 | 50.0 | 0 | 40.0 | -0.0 | 49.2 | 50.0 |
D. Brown
|
G | 14 | 5.7 | 0.8 | 0.4 | 0.5 | 0.3 | 0.0 | 0.4 | 1.4 | 0.2 | 240 | 11.4 | 22.4 | 21.1 | 27.3 | 0 | 0.13 | 28.9 | 28.9 |
R. Castineyra
|
- | 4 | 4.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | 0.0 | 1.2 | -1.0 | -6 | -1.5 | -110.8 | 0.0 | 0.0 | 0 | -0.18 | 0.0 | 0.0 |
Josh Engel
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Bilal Osman
|
F | 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