George Washington Colonials
2022 Team Stats (5 games)
53.4
PPG
53.0
Opp
+0.4
Margin
35.4%
FG%
26.9%
3P%
61.4%
FT%
41.2
RPG
9.2
APG
15.2
TO
78.5
Pace
Model Outputs
2021-2022
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 → | 1028 (#190) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1060 (#188) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +15.2 (#218) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.509 (#180) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-11 | vs | Virginia Tech Hokies | L | 38 - 75 |
| 2021-11-22 | vs | Quinnipiac Bobcats | W | 54 - 50 |
| 2021-12-28 | vs | West Chester Golden Rams | W | 64 - 31 |
| 2022-03-03 | @ | La Salle Explorers | W | 64 - 54 |
| 2022-03-04 | @ | VCU Rams | L | 47 - 55 |
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Taiwo
|
F | 3 | 32.0 | 9.3 | 9.3 | 1.7 | 0.7 | 0.3 | 2.0 | 9.7 | 9.7 | -56 | -3.3 | -15.4 | 34.5 | 0 | 44.4 | 0.3 | 37.9 | 34.5 |
S. Laureano
|
G | 5 | 24.4 | 8.6 | 3.2 | 1.0 | 2.0 | 0.8 | 3.0 | 9.6 | 3.0 | - | - | - | 35.4 | 22.2 | 50.0 | 1.02 | 41.0 | 39.6 |
T. Moore
|
F | 3 | 22.0 | 8.0 | 8.3 | 0.3 | 2.0 | 0.3 | 1.3 | 11.3 | 6.3 | -20 | -0.9 | -4.4 | 32.4 | 0 | 66.7 | 0.66 | 34.0 | 32.4 |
K. Frames
|
G | 5 | 27.2 | 6.4 | 3.8 | 3.4 | 0.6 | 0.0 | 1.4 | 6.8 | 6.0 | - | - | - | 26.5 | 36.8 | 53.8 | 1.16 | 40.3 | 36.8 |
N. Lok
|
G | 3 | 14.0 | 6.3 | 3.3 | 0.7 | 1.3 | 0.0 | 0.7 | 6.0 | 5.0 | -28 | -2.0 | -11.4 | 44.4 | 42.9 | 0 | 0.11 | 52.8 | 52.8 |
T. Webster
|
G | 5 | 22.2 | 6.2 | 5.4 | 0.8 | 0.2 | 0.0 | 2.4 | 5.8 | 4.4 | 42 | 1.9 | 9.4 | 44.8 | 33.3 | 50.0 | 0.81 | 49.0 | 48.3 |
A. Gingras
|
G | 5 | 17.0 | 6.0 | 1.4 | 0.6 | 1.0 | 0.0 | 1.6 | 5.0 | 2.4 | - | - | - | 40.0 | 0.0 | 83.3 | 0.83 | 49.5 | 40.0 |
E. Brown
|
G | 5 | 31.2 | 5.4 | 4.0 | 0.6 | 0.0 | 0.6 | 2.4 | 4.8 | 3.4 | -64 | -4.0 | -25.6 | 45.8 | 0 | 71.4 | -0.21 | 49.9 | 45.8 |
M. Ojo
|
F | 2 | 8.0 | 4.0 | 4.0 | 0.5 | 0.5 | 0.5 | 1.5 | 2.0 | 6.0 | -21 | -5.2 | -25.2 | 50.0 | 0 | 66.7 | 0.0 | 60.2 | 50.0 |
M. Engel
|
F | 3 | 16.7 | 3.0 | 1.7 | 0.0 | 0.7 | 0.0 | 1.3 | 3.0 | 1.0 | 3 | 0.2 | 1.2 | 44.4 | 20.0 | 0 | 0.51 | 50.0 | 50.0 |
F. Blethen
|
F | 4 | 11.0 | 1.8 | 1.5 | 0.0 | 0.2 | 0.0 | 0.0 | 2.2 | 1.2 | 21 | 1.3 | 6.8 | 33.3 | 25.0 | 0 | 0.93 | 38.9 | 38.9 |
S. Bell
|
G | 5 | 7.0 | 1.4 | 1.6 | 0.2 | 0.6 | 0.0 | 0.2 | 1.6 | 2.0 | - | - | - | 0.0 | 0.0 | 87.5 | 0.92 | 30.4 | 0.0 |
S. Haydon
|
F | 2 | 7.5 | 1.0 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 2.5 | 0.0 | 51 | 10.2 | 77.9 | 20.0 | 0 | 0 | 0.05 | 20.0 | 20.0 |
M. Loder
|
G | 2 | 10.5 | 0.0 | 1.0 | 1.5 | 0.0 | 0.0 | 0.5 | 1.5 | 0.5 | - | - | - | 0.0 | 0.0 | 0 | -1.09 | 0.0 | 0.0 |
P. Macke
|
G | 1 | 3.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | - | - | - | 0.0 | 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