George Mason Patriots
2025 Team Stats (2 games)
57.5
PPG
80.0
Opp
-22.5
Margin
30.1%
FG%
29.2%
3P%
62.5%
FT%
36.5
RPG
11.5
APG
12.5
TO
89.3
Pace
Model Outputs
2025-2026 latest available
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. More → | 1125 (#41) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +23.5 (#70) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.711 (#59) | AdjO 67.0 | AdjD 57.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.917 (#58) | 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 → | 0.900 (#55) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1247 (#48) | RD 116 | GP 30 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-30 | @ | Maryland Terrapins | L | 56 - 66 |
| 2025-03-22 | @ | Florida State Seminoles | L | 59 - 94 |
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. Harris
|
G | 2 | 34.0 | 19.0 | 4.5 | 4.0 | 2.0 | 0.0 | 1.5 | 17.5 | 10.5 | 78 | 3.0 | 3.8 | 40.0 | 35.7 | 71.4 | 0.88 | 49.9 | 47.1 |
P. Suarez
|
G | 2 | 35.0 | 15.0 | 3.0 | 3.0 | 1.5 | 0.5 | 4.5 | 15.0 | 3.5 | 96 | 2.9 | 3.2 | 36.7 | 42.9 | 66.7 | 1.25 | 47.9 | 46.7 |
L. Volker
|
F | 2 | 24.5 | 7.0 | 3.0 | 0.0 | 0.0 | 1.5 | 0.0 | 8.5 | 3.0 | 44 | 1.3 | 2.7 | 35.3 | 22.2 | 0 | 0.54 | 41.2 | 41.2 |
Z. Walton
|
F | 2 | 29.0 | 6.0 | 7.0 | 1.5 | 1.0 | 0.0 | 1.5 | 11.5 | 2.5 | 66 | 1.9 | 2.3 | 17.4 | 0.0 | 100.0 | 0.58 | 24.2 | 17.4 |
N. Kaysia
|
F | 2 | 28.0 | 5.0 | 8.5 | 1.0 | 1.0 | 0.5 | 2.0 | 6.5 | 7.5 | 105 | 3.3 | 4.3 | 23.1 | 0 | 50.0 | 1.46 | 30.3 | 23.1 |
J. Brown
|
G | 2 | 14.5 | 3.5 | 0.5 | 0.5 | 0.5 | 0.0 | 0.5 | 6.5 | -2.0 | 0 | 0.0 | 0.0 | 23.1 | 20.0 | 0 | 0.47 | 26.9 | 26.9 |
F. Okorie
|
F | 1 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 11 | 0.6 | 9.2 | 100.0 | 0 | 0 | -0.87 | 100.0 | 100.0 |
N. Mitchell
|
F | 2 | 12.5 | 1.0 | 2.5 | 0.5 | 0.0 | 0.0 | 0.5 | 2.0 | 1.5 | 57 | 1.7 | 3.8 | 25.0 | 0 | 0 | 0.21 | 25.0 | 25.0 |
K. McNeal
|
G | 2 | 2.0 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 22 | 0.8 | 4.2 | 0 | 0 | 0 | -0.12 | 0 | 0 |
P. Greenburg
|
G | 1 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 10 | 0.5 | 1.9 | 0 | 0 | 0 | -0.16 | 0 | 0 |
T. Massenburg
|
F | 2 | 6.0 | 0.0 | 2.0 | 0.5 | 0.5 | 0.5 | 0.0 | 2.5 | 1.0 | - | - | - | 0.0 | 0 | 0.0 | - | 0.0 | 0.0 |
T. Habib
|
G | 2 | 11.5 | 0.0 | 1.5 | 0.0 | 1.0 | 0.0 | 0.5 | 1.0 | 1.0 | 91 | 2.7 | 4.1 | 0.0 | 0.0 | 0 | 1.33 | 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