George Washington Colonials
2026 Team Stats (30 games)
58.5
PPG
61.5
Opp
-3.0
Margin
40.7%
FG%
29.9%
3P%
73.2%
FT%
34.1
RPG
10.8
APG
16.4
TO
75.3
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 → | 987 (#423) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +12.3 (#171) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.534 (#186) | AdjO 60.0 | AdjD 58.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.717 (#191) | 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 → | 0.686 (#189) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1016 (#203) | RD 99 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
G. Reynolds
|
G | 29 | 30.9 | 14.3 | 4.2 | 1.0 | 1.0 | 0.4 | 1.7 | 12.6 | 6.7 | 39 | 1.6 | 2.7 | 41.5 | 33.9 | 81.8 | 0.88 | 51.5 | 47.1 |
S. Lewis
|
F | 29 | 26.8 | 11.5 | 6.3 | 1.8 | 0.9 | 0.3 | 3.0 | 8.6 | 9.2 | 60 | 2.5 | 4.3 | 44.6 | 36.4 | 74.0 | 0.41 | 53.3 | 45.4 |
K. Sims
|
G | 30 | 27.5 | 8.1 | 2.8 | 2.2 | 0.4 | 0.9 | 2.2 | 7.8 | 4.4 | 114 | 4.6 | 7.4 | 40.2 | 26.0 | 80.0 | 3.62 | 48.5 | 45.7 |
E. Theodorsson
|
G | 25 | 19.3 | 6.4 | 3.5 | 1.0 | 0.6 | 0.2 | 1.7 | 6.2 | 3.8 | 51 | 2.1 | 5.1 | 34.0 | 26.6 | 65.5 | 0.7 | 44.1 | 39.4 |
J. Wilson
|
G | 30 | 19.7 | 5.5 | 1.7 | 1.5 | 1.1 | 0.3 | 1.8 | 4.7 | 3.7 | 34 | 1.4 | 3.2 | 41.4 | 32.1 | 82.1 | 1.84 | 52.5 | 47.5 |
M. James
|
G | 30 | 21.4 | 3.9 | 2.7 | 1.5 | 0.6 | 0.1 | 1.9 | 4.5 | 2.3 | 71 | 3.2 | 4.4 | 30.4 | 32.9 | 85.7 | 1.17 | 41.4 | 38.9 |
C. Phiri
|
G | 23 | 13.6 | 3.9 | 2.2 | 0.7 | 0.3 | 0.2 | 1.0 | 3.7 | 2.5 | 30 | 1.3 | 3.4 | 38.4 | 28.3 | 76.9 | -1.14 | 48.5 | 45.9 |
T. Becker
|
G | 30 | 26.6 | 3.5 | 4.0 | 0.6 | 1.2 | 0.8 | 0.7 | 3.0 | 6.3 | 20 | 0.8 | 1.4 | 49.5 | 0.0 | 48.4 | -3.07 | 50.2 | 49.5 |
P. Dulin
|
G | 25 | 10.9 | 1.8 | 1.3 | 0.8 | 0.3 | 0.1 | 1.0 | 1.6 | 1.6 | 36 | 2.0 | 12.4 | 46.3 | 0.0 | 53.8 | 1.2 | 48.2 | 46.3 |
C. Loving
|
F | 27 | 8.1 | 1.7 | 1.9 | 0.2 | 0.1 | 0.1 | 0.7 | 1.1 | 2.1 | -28 | -1.2 | -6.4 | 67.7 | 0 | 36.4 | -2.43 | 64.2 | 67.7 |
F. Calisto
|
G | 18 | 8.7 | 1.4 | 1.4 | 0.1 | 0.2 | 0.2 | 0.6 | 1.4 | 1.3 | 7 | 0.5 | 2.2 | 36.0 | 40.0 | 100.0 | -1.72 | 48.6 | 44.0 |
N. Sierra-Vargas
|
G | 3 | 4.0 | 0.7 | 1.0 | 0.0 | 0.3 | 0.0 | 0.3 | 0.7 | 1.0 | 16 | 5.3 | 138.6 | 50.0 | 0 | 0 | 0.6 | 50.0 | 50.0 |
S. Gonzalez
|
F | 15 | 4.3 | 0.7 | 0.7 | 0.2 | 0.1 | 0.0 | 0.3 | 1.1 | 0.1 | 0 | 0.0 | 0.0 | 17.6 | 18.2 | 100.0 | 0.04 | 28.0 | 23.5 |
Nya Morris
|
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