McNeese Cowgirls
2026 Team Stats (32 games)
66.2
PPG
54.2
Opp
+12.0
Margin
39.9%
FG%
32.3%
3P%
73.8%
FT%
32.7
RPG
13.6
APG
10.8
TO
80.1
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 → | 1166 (#15) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +20.4 (#87) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.734 (#45) | AdjO 64.1 | AdjD 53.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.900 (#72) | 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 → | 0.886 (#65) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1288 (#23) | RD 112 | GP 32 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Howard
|
F | 31 | 24.9 | 13.0 | 6.2 | 1.4 | 2.8 | 0.3 | 1.5 | 10.8 | 11.5 | 128 | 5.8 | 10.4 | 47.8 | 0.0 | 71.8 | 2.6 | 52.3 | 47.8 |
A. Patton
|
G | 32 | 27.5 | 10.8 | 1.3 | 1.1 | 1.3 | 0.0 | 1.0 | 9.2 | 4.4 | 81 | 3.5 | 5.4 | 40.3 | 39.1 | 81.6 | -1.9 | 55.9 | 53.8 |
J. Pierre
|
G | 31 | 24.5 | 10.0 | 2.4 | 3.6 | 2.0 | 0.0 | 1.7 | 8.8 | 7.5 | 123 | 5.6 | 9.8 | 42.3 | 29.7 | 71.3 | 2.42 | 49.2 | 44.3 |
L. Alexander
|
F | 31 | 24.6 | 8.6 | 5.5 | 1.2 | 1.9 | 0.7 | 1.1 | 8.1 | 8.8 | 145 | 6.6 | 12.0 | 46.0 | 0 | 70.6 | 2.04 | 48.8 | 46.0 |
T. Sibley
|
G | 32 | 24.2 | 8.2 | 5.3 | 2.1 | 1.5 | 0.0 | 1.2 | 8.9 | 7.1 | 119 | 5.2 | 9.0 | 39.6 | 24.0 | 75.0 | 1.62 | 43.3 | 40.7 |
A. Washington
|
G | 32 | 21.5 | 5.2 | 2.8 | 1.4 | 1.6 | 0.0 | 0.9 | 5.2 | 4.9 | 121 | 5.0 | 9.2 | 29.3 | 27.9 | 73.9 | 1.24 | 42.1 | 34.4 |
K. Chamberlin
|
G | 32 | 15.9 | 4.2 | 1.9 | 0.6 | 1.0 | 0.0 | 0.8 | 5.0 | 1.7 | 211 | 9.2 | 26.7 | 30.6 | 27.9 | 100.0 | 6.28 | 40.9 | 39.7 |
C. Hamilton
|
G | 30 | 14.8 | 4.0 | 1.1 | 0.4 | 0.8 | 0.0 | 0.9 | 4.1 | 1.3 | 98 | 4.3 | 10.6 | 32.3 | 33.3 | 84.4 | 0.0 | 43.5 | 37.5 |
A. Berry
|
G | 32 | 15.1 | 2.8 | 1.4 | 1.8 | 1.1 | 0.1 | 0.9 | 2.5 | 3.8 | 102 | 4.4 | 11.9 | 39.5 | 0.0 | 73.0 | 2.04 | 46.8 | 39.5 |
J. Bell
|
G | 15 | 5.8 | 0.5 | 0.2 | 0.1 | 0.3 | 0.0 | 0.1 | 1.2 | -0.3 | -39 | -3.2 | -36.8 | 11.1 | 20.0 | 100.0 | -1.73 | 21.2 | 16.7 |
M. Joseph
|
F | 27 | 9.7 | 0.4 | 1.7 | 0.1 | 0.3 | 0.1 | 0.4 | 0.5 | 1.7 | 34 | 1.5 | 6.5 | 28.6 | 0 | 42.9 | 0.95 | 32.2 | 28.6 |
P. Guillory
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Jaslynn Walter
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
A'Yiana Flemings
|
C | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -2 | -0.7 | -53.3 | - | - | - | 0.42 | - | - |
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