Massachusetts Minutewomen
2026 Team Stats (25 games)
69.5
PPG
62.3
Opp
+7.2
Margin
42.9%
FG%
31.4%
3P%
70.7%
FT%
36.5
RPG
16.0
APG
14.3
TO
82.8
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 → | 1063 (#108) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +17.2 (#106) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.624 (#114) | AdjO 65.2 | AdjD 59.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.846 (#105) | 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 → | 0.817 (#103) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1164 (#89) | RD 138 | GP 25 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Y. McKayle
|
G | 25 | 34.8 | 17.0 | 2.8 | 4.9 | 1.8 | 0.1 | 3.5 | 15.8 | 7.3 | 24 | 1.2 | 1.3 | 40.1 | 36.8 | 90.3 | 0.97 | 50.4 | 46.8 |
M. Olbrys
|
F | 25 | 29.8 | 13.7 | 7.7 | 2.5 | 1.8 | 1.0 | 2.0 | 10.2 | 14.6 | 81 | 3.9 | 5.0 | 50.8 | 25.7 | 69.7 | 3.64 | 56.8 | 52.6 |
A. Palmieri
|
G | 24 | 33.0 | 13.6 | 4.0 | 1.8 | 1.2 | 0.1 | 1.3 | 12.2 | 7.2 | 3 | 0.1 | 0.2 | 39.9 | 32.9 | 79.6 | -2.79 | 51.5 | 48.3 |
A. Franks
|
G | 25 | 29.6 | 6.9 | 3.8 | 2.5 | 2.2 | 0.5 | 2.0 | 7.3 | 6.6 | 80 | 3.8 | 4.8 | 33.3 | 21.8 | 63.9 | 2.65 | 41.2 | 36.6 |
C. Odenigbo
|
C | 22 | 21.0 | 6.7 | 4.2 | 1.2 | 0.8 | 1.6 | 1.5 | 5.3 | 7.8 | 18 | 1.0 | 1.7 | 59.0 | 0 | 62.5 | 0.39 | 59.7 | 59.0 |
L. Ferguson
|
F | 25 | 23.4 | 5.1 | 6.5 | 1.6 | 0.9 | 0.0 | 1.0 | 4.8 | 8.4 | -7 | -0.3 | -0.6 | 45.0 | 14.3 | 66.7 | -0.29 | 48.1 | 45.4 |
A. Perkins
|
G | 25 | 17.9 | 4.4 | 1.3 | 1.3 | 0.8 | 0.4 | 1.3 | 4.1 | 2.8 | -17 | -0.8 | -1.7 | 42.7 | 35.5 | 45.8 | -0.97 | 48.4 | 48.1 |
J. Ross
|
F | 20 | 9.8 | 2.8 | 2.1 | 0.5 | 0.3 | 0.1 | 0.6 | 2.6 | 2.5 | -39 | -2.4 | -7.8 | 44.2 | 33.3 | 71.4 | -2.5 | 50.8 | 49.0 |
A. George
|
G | 16 | 4.2 | 0.9 | 0.3 | 0.0 | 0.1 | 0.0 | 0.6 | 0.9 | -0.2 | -30 | -2.5 | -10.7 | 26.7 | 0.0 | 100.0 | -2.12 | 41.5 | 26.7 |
L. Bullard
|
F | 13 | 5.3 | 0.7 | 1.3 | 0.2 | 0.2 | 0.0 | 0.8 | 0.8 | 0.8 | -14 | -1.1 | -8.7 | 30.0 | 0.0 | 25.0 | -2.12 | 29.5 | 30.0 |
B. Pulpi
|
G | 8 | 2.5 | 0.4 | 0.4 | 0.1 | 0.0 | 0.1 | 0.0 | 0.4 | 0.6 | -16 | -2.3 | -31.7 | 33.3 | 33.3 | 0 | -1.6 | 50.0 | 50.0 |
E. Hannon
|
F | 5 | 1.6 | 0.4 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4 | 0.2 | 2 | 0.4 | 6.4 | 50.0 | 0 | 0 | 0.67 | 50.0 | 50.0 |
Taylor Derkack
|
G | 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