Gonzaga Bulldogs
2022 Team Stats (8 games)
58.5
PPG
61.8
Opp
-3.3
Margin
37.0%
FG%
27.9%
3P%
79.7%
FT%
39.3
RPG
11.6
APG
13.3
TO
75.7
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 → | 1186 (#69) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1291 (#41) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +35.7 (#49) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.780 (#79) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-21 | vs | Stanford Cardinal | L | 62 - 66 |
| 2022-01-09 | @ | Stanford Cardinal | L | 50 - 66 |
| 2022-02-05 | vs | BYU Cougars | L | 50 - 62 |
| 2022-02-19 | @ | BYU Cougars | L | 39 - 63 |
| 2022-03-07 | vs | San Francisco Dons | W | 69 - 55 |
| 2022-03-08 | @ | BYU Cougars | W | 71 - 59 |
| 2022-03-18 | @ | Nebraska Cornhuskers | W | 68 - 55 |
| 2022-03-20 | @ | Louisville Cardinals | L | 59 - 68 |
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. Kempton
|
F | 8 | 28.2 | 11.8 | 5.4 | 1.0 | 0.6 | 0.8 | 1.6 | 10.1 | 7.8 | - | - | - | 48.1 | 0.0 | 69.6 | 1.14 | 51.6 | 48.1 |
Kayleigh Truong
|
G | 8 | 28.9 | 11.5 | 3.4 | 3.9 | 0.9 | 0.0 | 2.8 | 9.2 | 7.6 | - | - | - | 37.8 | 26.9 | 87.9 | 0.43 | 52.0 | 42.6 |
Y. Ejim
|
F | 8 | 24.6 | 10.5 | 5.9 | 0.9 | 0.4 | 0.9 | 2.1 | 8.9 | 7.5 | - | - | - | 47.9 | 0.0 | 69.6 | 1.75 | 51.8 | 47.9 |
K. Truong
|
G | 8 | 24.1 | 6.8 | 2.0 | 2.4 | 0.9 | 0.2 | 2.0 | 6.8 | 3.5 | - | - | - | 25.9 | 23.3 | 90.5 | 0.98 | 42.7 | 32.4 |
C. Walker
|
G | 8 | 28.0 | 6.1 | 4.0 | 1.0 | 0.2 | 0.0 | 0.9 | 5.6 | 4.9 | - | - | - | 28.9 | 32.3 | 92.9 | 0.63 | 47.9 | 40.0 |
A. Virjoghe
|
F | 8 | 20.0 | 4.0 | 5.5 | 1.0 | 0.2 | 1.1 | 1.1 | 4.9 | 5.9 | - | - | - | 35.9 | 0 | 80.0 | 0.67 | 38.8 | 35.9 |
A. O'Connor
|
G | 8 | 27.1 | 3.8 | 5.6 | 0.5 | 1.1 | 0.1 | 1.0 | 5.4 | 4.8 | - | - | - | 23.3 | 25.0 | 50.0 | 0.39 | 31.6 | 29.1 |
E. Hollingsworth
|
F | 7 | 6.7 | 3.3 | 1.1 | 0.1 | 0.0 | 0.1 | 0.3 | 2.6 | 1.9 | - | - | - | 38.9 | 41.7 | 100.0 | 1.48 | 58.2 | 52.8 |
M. Williams
|
G | 8 | 10.4 | 0.9 | 0.9 | 0.8 | 0.4 | 0.0 | 0.5 | 1.5 | 0.9 | -26 | -4.3 | -82.0 | 25.0 | 16.7 | 0 | 1.63 | 29.2 | 29.2 |
B. Salenbien
|
G | 4 | 4.0 | 0.8 | 0.5 | 0.0 | 0.2 | 0.0 | 0.5 | 0.8 | 0.2 | 29 | 1.3 | 8.1 | 33.3 | 50.0 | 0 | 1.16 | 50.0 | 50.0 |
M. Huijbens
|
F | 3 | 2.7 | 0.0 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.3 | 0.0 | - | - | - | 0.0 | 0 | 0 | 0.27 | 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