George Washington
2026 Team Stats (33 games)
81.5
PPG
74.0
Opp
+7.5
Margin
46.7%
FG%
35.9%
3P%
72.4%
FT%
37.6
RPG
15.5
APG
12.9
TO
82.4
Pace
82.9
AdjO
74.2
AdjD
#81
Rank
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 1048 (#142) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1094 (#98) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 982 (#549) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +8.8 (#82) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +20.6 (#78) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.699 (#69) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.681 (#118) | NetEff +6.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.782 (#84) | AdjNet +11.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.785 (#84) | AdjNet +11.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.687 (#81) | AdjO 82.9 | AdjD 74.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.646 (#74) | AdjO 78.5 | AdjD 71.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.858 (#78) | 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 → | 0.822 (#77) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1104 (#133) | RD 106 | GP 33 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
R. Castro
|
F | 27 | 27.2 | 15.4 | 9.3 | 1.7 | 1.7 | 1.7 | 1.9 | 8.7 | 19.2 | 17 | 1.7 | 201.0 | 62.3 | 0 | 67.4 | 0.04 | 65.9 | 62.3 |
G. Johnson
|
- | 27 | 22.7 | 11.4 | 3.3 | 1.1 | 0.4 | 0.1 | 1.0 | 9.1 | 6.1 | 40 | 2.7 | 12.0 | 40.9 | 34.4 | 84.6 | 0.32 | 56.1 | 51.4 |
T. Autry
|
G | 32 | 28.9 | 10.9 | 3.6 | 1.5 | 0.8 | 0.2 | 0.9 | 8.1 | 8.0 | -3 | -0.2 | -0.7 | 43.5 | 38.0 | 81.5 | 0.11 | 61.3 | 58.5 |
C. Jones
|
G | 32 | 26.6 | 10.3 | 3.0 | 3.1 | 1.1 | 0.2 | 2.1 | 8.4 | 7.2 | -2 | -2.0 | -5.3 | 46.5 | 37.2 | 64.4 | 0.14 | 55.9 | 54.3 |
T. Dinkins
|
- | 33 | 21.4 | 9.2 | 1.8 | 1.8 | 0.5 | 0.1 | 1.2 | 7.3 | 4.9 | 11 | 0.9 | 130.0 | 39.6 | 39.0 | 80.0 | 0.04 | 58.1 | 55.4 |
T. Marshall Jr.
|
F | 31 | 23.7 | 8.8 | 4.5 | 2.0 | 1.3 | 0.7 | 1.6 | 6.3 | 9.3 | 160 | 9.4 | 17.9 | 51.0 | 37.5 | 66.2 | 1.69 | 59.2 | 56.4 |
L. Hunger
|
- | 31 | 19.7 | 8.5 | 5.3 | 0.9 | 0.2 | 0.1 | 1.6 | 5.9 | 7.5 | 15 | 0.7 | 4.3 | 49.2 | 31.8 | 80.2 | 0.04 | 59.5 | 53.0 |
J. Aranguren
|
- | 33 | 24.2 | 8.1 | 4.3 | 3.3 | 1.1 | 0.4 | 2.2 | 5.8 | 9.1 | 15 | 1.1 | 177.3 | 49.5 | 36.2 | 69.3 | 0.04 | 59.3 | 56.0 |
B. Benjamin
|
- | 28 | 19.9 | 5.7 | 2.6 | 0.9 | 0.9 | 0.4 | 0.6 | 5.0 | 4.7 | -24 | -1.8 | -15.1 | 39.0 | 27.1 | 70.3 | -0.0 | 50.5 | 47.2 |
T. Bevins
|
G | 8 | 9.0 | 2.4 | 1.6 | 0.2 | 0.2 | 0.0 | 0.4 | 2.1 | 2.0 | -6 | -0.8 | -11.3 | 35.3 | 30.8 | 75.0 | -0.09 | 50.6 | 47.1 |
A. Arrington
|
- | 4 | 3.0 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.5 | 0.0 | -13 | -3.2 | -247.6 | 33.3 | 40.0 | 0 | -0.07 | 50.0 | 50.0 |
T. Moss
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Vincent Chaudhri
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
M. Binzagr
|
- | 4 | 2.2 | 0.0 | 0.5 | 0.0 | 0.2 | 0.0 | 0.2 | 1.0 | -0.5 | -8 | -2.0 | -152.4 | 0.0 | 0.0 | 0.0 | -0.07 | 0.0 | 0.0 |
Jalen Rougier-Roane
|
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