Gonzaga
2022 Team Stats (25 games)
86.8
PPG
66.2
Opp
+21.0
Margin
52.2%
FG%
37.2%
3P%
72.8%
FT%
41.5
RPG
17.7
APG
11.4
TO
81.8
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 → | 1578 (#13) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1599 (#3) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +44.8 (#3) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.902 (#1) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.956 (#5) | NetEff +28.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.950 (#1) | AdjNet +25.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.952 (#1) | AdjNet +25.8 |
2022 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Timme
|
- | 32 | 28.0 | 18.4 | 6.8 | 2.8 | 0.2 | 0.8 | 2.5 | 10.4 | 16.1 | - | - | - | 59.0 | 30.4 | 70.3 | - | 75.1 | 60.1 |
C. Holmgren
|
- | 26 | 27.4 | 14.2 | 10.2 | 1.7 | 0.9 | 3.6 | 2.0 | 8.8 | 19.8 | - | - | - | 60.7 | 43.2 | 71.1 | - | 70.5 | 69.0 |
A. Nembhard
|
- | 26 | 32.5 | 12.9 | 3.4 | 5.8 | 1.5 | 0.1 | 1.8 | 10.1 | 11.8 | - | - | - | 46.8 | 39.4 | 90.2 | - | 58.7 | 54.9 |
J. Strawther
|
- | 32 | 26.8 | 11.8 | 5.4 | 1.0 | 0.5 | 0.2 | 0.8 | 6.4 | 11.7 | - | - | - | 49.0 | 34.5 | 70.3 | - | 80.9 | 58.5 |
R. Bolton
|
- | 32 | 27.3 | 11.2 | 2.4 | 2.3 | 0.6 | 0.0 | 1.3 | 6.0 | 9.2 | - | - | - | 51.6 | 46.6 | 81.8 | - | 83.0 | 64.1 |
Anton Watson
|
- | 32 | 18.1 | 7.3 | 4.7 | 1.9 | 1.2 | 0.3 | 1.1 | 4.3 | 10.0 | - | - | - | 52.2 | 15.8 | 70.8 | - | 69.2 | 53.3 |
Nolan Hickman
|
- | 32 | 17.2 | 5.1 | 1.5 | 1.3 | 0.6 | 0.2 | 0.7 | 3.3 | 4.7 | 0 | 0.0 | 0.0 | 40.2 | 26.7 | 60.0 | 0.03 | 72.7 | 47.7 |
H. Sallis
|
- | 32 | 13.6 | 4.2 | 2.0 | 0.6 | 0.6 | 0.2 | 0.7 | 2.5 | 4.4 | 0 | 0.0 | 0.0 | 58.8 | 33.3 | 66.7 | 0.26 | 76.2 | 61.9 |
Ben Gregg
|
- | 17 | 6.3 | 2.4 | 2.0 | 0.6 | 0.2 | 0.5 | 0.3 | 2.0 | 3.3 | - | - | - | 38.2 | 40.0 | 0.0 | - | 55.9 | 44.1 |
M. Arlauskas
|
G | 13 | 3.5 | 1.0 | 0.8 | 0.0 | 0.1 | 0.1 | 0.1 | 0.6 | 1.3 | - | - | - | 62.5 | 0 | 60.0 | - | 63.7 | 62.5 |
M. Lang
|
- | 14 | 3.1 | 0.7 | 0.6 | 0.3 | 0.1 | 0.0 | 0.1 | 0.7 | 0.9 | - | - | - | 40.0 | 25.0 | 0 | - | 50.0 | 50.0 |
W. Graves
|
G | 13 | 1.8 | 0.7 | 0.3 | 0.0 | 0.1 | 0.0 | 0.1 | 0.6 | 0.4 | - | - | - | 37.5 | 42.9 | 0 | - | 56.2 | 56.2 |
K. Perry
|
F | 5 | 5.4 | 0.4 | 1.6 | 0.0 | 0.0 | 0.2 | 0.2 | 0.4 | 1.6 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
Joe Few
|
- | 13 | 1.6 | 0.1 | 0.7 | 0.3 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | - | - | - | 0.0 | 0.0 | 50.0 | - | 6.3 | 0.0 |
D. Harris
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -2 | -0.2 | -1.1 | - | - | - | 0.77 | - | - |
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