Georgetown Hoyas
2022 Team Stats (6 games)
58.3
PPG
62.5
Opp
-4.2
Margin
39.4%
FG%
32.6%
3P%
67.6%
FT%
35.2
RPG
10.8
APG
18.8
TO
79.0
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 → | 1104 (#123) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1109 (#144) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +30.2 (#77) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.646 (#131) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-24 | vs | Loyola Maryland Greyhounds | W | 66 - 55 |
| 2021-11-30 | vs | Temple Owls | L | 47 - 49 |
| 2021-12-13 | vs | Coppin State Eagles | W | 59 - 53 |
| 2022-01-05 | vs | UConn Huskies | - | Preview |
| 2022-02-20 | @ | UConn Huskies | L | 49 - 90 |
| 2022-02-22 | vs | Villanova Wildcats | L | 61 - 73 |
| 2022-03-04 | @ | Providence Friars | W | 68 - 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. Bolden-Morris
|
G | 6 | 34.2 | 11.7 | 3.0 | 0.5 | 1.2 | 0.0 | 2.3 | 11.3 | 2.7 | - | - | - | 36.8 | 36.8 | 85.7 | 0.8 | 49.2 | 47.1 |
K. Ransom
|
G | 6 | 30.7 | 11.0 | 4.5 | 3.0 | 2.0 | 0.2 | 3.3 | 10.2 | 7.2 | -4 | -2.0 | -6.6 | 39.3 | 20.0 | 58.6 | 0.37 | 44.7 | 40.2 |
G. Bennett
|
F | 6 | 27.8 | 8.2 | 6.8 | 1.5 | 0.7 | 0.5 | 2.2 | 6.0 | 9.5 | -34 | -3.4 | -20.0 | 44.4 | 28.6 | 75.0 | 0.37 | 54.7 | 47.2 |
J. Archer
|
F | 6 | 24.3 | 6.8 | 5.0 | 1.0 | 0.8 | 1.0 | 2.2 | 4.2 | 8.3 | -69 | -4.6 | -23.2 | 64.0 | 0.0 | 60.0 | 0.32 | 64.9 | 64.0 |
B. Scott
|
F | 5 | 17.2 | 6.6 | 3.2 | 1.2 | 1.0 | 0.8 | 0.6 | 3.8 | 8.4 | -46 | -3.1 | -32.5 | 63.2 | 40.0 | 71.4 | 0.24 | 74.7 | 73.7 |
M. Clougherty
|
G | 5 | 15.4 | 5.8 | 1.2 | 0.6 | 0.4 | 0.2 | 1.2 | 5.8 | 1.2 | - | - | - | 34.5 | 32.0 | 33.3 | 0.67 | 47.8 | 48.3 |
Y. Ott
|
G | 5 | 23.8 | 3.2 | 2.2 | 1.6 | 1.2 | 0.0 | 2.2 | 4.8 | 1.2 | -36 | -3.0 | -13.6 | 20.8 | 20.0 | 83.3 | 0.48 | 30.0 | 22.9 |
S. Wright
|
F | 5 | 5.8 | 3.0 | 1.2 | 0.0 | 0.2 | 0.4 | 0.4 | 2.4 | 2.0 | - | - | - | 50.0 | 0 | 60.0 | 0.53 | 52.8 | 50.0 |
A. Jenkins
|
C | 4 | 10.2 | 3.0 | 2.8 | 0.0 | 0.2 | 0.5 | 1.8 | 3.8 | 1.0 | -65 | -6.5 | -40.2 | 26.7 | 33.3 | 100.0 | 0.22 | 36.8 | 30.0 |
A. Kelava
|
F | 4 | 10.8 | 2.0 | 3.8 | 0.2 | 0.5 | 0.5 | 1.0 | 2.2 | 3.8 | - | - | - | 33.3 | 0 | 100.0 | 0.03 | 40.5 | 33.3 |
K. West
|
G | 6 | 16.5 | 1.8 | 1.3 | 1.7 | 0.0 | 0.2 | 2.5 | 2.8 | -0.3 | - | - | - | 17.6 | 0.0 | 62.5 | 0.26 | 26.8 | 17.6 |
T. Flaherty
|
G | 1 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -15 | -3.8 | -53.2 | 0 | 0 | 0 | -0.51 | 0 | 0 |
N. Jasper
|
G | 1 | 1.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | -1 | -0.5 | -3.4 | 0 | 0 | 0 | -0.45 | 0 | 0 |
K. Myricks
|
F | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -22 | -11.0 | -42.3 | 0 | 0 | 0 | -0.24 | 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