Wichita State Shockers
2022 Team Stats (2 games)
71.5
PPG
74.5
Opp
-3.0
Margin
46.6%
FG%
43.5%
3P%
85.2%
FT%
38.0
RPG
13.5
APG
21.5
TO
86.4
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 → | 783 (#383) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 849 (#372) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +10.3 (#266) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.101 (#329) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-01-09 | @ | South Florida Bulls | - | Preview |
| 2022-02-22 | @ | South Florida Bulls | L | 57 - 61 |
| 2022-03-07 | @ | Tulsa Golden Hurricane | L | 86 - 88 |
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. McCully
|
G | 2 | 36.5 | 19.0 | 4.5 | 3.5 | 2.5 | 0.0 | 5.0 | 16.0 | 8.5 | - | - | - | 50.0 | 40.0 | 80.0 | 0.42 | 55.6 | 53.1 |
A. Strong
|
F | 2 | 34.0 | 13.5 | 4.0 | 1.0 | 1.5 | 0.0 | 2.5 | 12.0 | 5.5 | - | - | - | 41.7 | 42.9 | 80.0 | 0.27 | 51.5 | 47.9 |
S. Bastin
|
G | 2 | 38.0 | 12.5 | 6.5 | 5.0 | 1.5 | 0.5 | 5.0 | 6.5 | 14.5 | - | - | - | 69.2 | 0 | 100.0 | 0.34 | 77.7 | 69.2 |
J. Asinde
|
F | 2 | 35.5 | 10.5 | 10.0 | 1.5 | 3.0 | 0.5 | 4.0 | 10.0 | 11.5 | - | - | - | 45.0 | 0 | 75.0 | 0.45 | 48.3 | 45.0 |
C. Bremaud
|
G | 2 | 28.5 | 7.5 | 2.5 | 1.0 | 0.0 | 1.0 | 1.5 | 4.0 | 6.5 | - | - | - | 62.5 | 57.1 | 50.0 | 0.61 | 84.5 | 87.5 |
D. McCarty
|
G | 2 | 11.5 | 4.5 | 2.0 | 1.0 | 0.5 | 0.0 | 1.0 | 4.0 | 3.0 | -27 | -1.7 | -7.4 | 37.5 | 50.0 | 100.0 | 0.46 | 50.7 | 43.8 |
T. Colbert
|
F | 2 | 16.0 | 3.0 | 4.0 | 0.0 | 0.5 | 1.5 | 0.0 | 4.5 | 4.5 | 1 | 1.0 | 3.2 | 22.2 | 0 | 100.0 | -0.41 | 30.4 | 22.2 |
N. Bosch Duran
|
G | 2 | 10.0 | 1.0 | 0.5 | 0.5 | 0.0 | 0.0 | 1.0 | 2.0 | -1.0 | -7 | -0.5 | -3.7 | 25.0 | 0.0 | 0 | 0.45 | 25.0 | 25.0 |
T. Platonova
|
G | 1 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | - | - | - | 0 | 0 | 0 | 0.55 | 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