Northwestern Wildcats
2022 Team Stats (9 games)
64.9
PPG
66.8
Opp
-1.9
Margin
36.8%
FG%
27.0%
3P%
71.1%
FT%
37.8
RPG
14.2
APG
12.1
TO
83.9
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 → | 1001 (#206) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1092 (#154) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +25.6 (#108) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.193 (#293) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-25 | vs | South Dakota Coyotes | W | 73 - 57 |
| 2021-12-14 | vs | Milwaukee Panthers | W | 55 - 46 |
| 2022-01-06 | @ | Iowa Hawkeyes | W | 77 - 69 |
| 2022-01-23 | @ | Maryland Terrapins | L | 59 - 87 |
| 2022-01-28 | vs | Iowa Hawkeyes | L | 67 - 72 |
| 2022-02-13 | vs | Michigan Wolverines | W | 71 - 69 |
| 2022-02-17 | @ | Indiana Hoosiers | L | 58 - 69 |
| 2022-03-03 | vs | Minnesota Golden Gophers | W | 65 - 60 |
| 2022-03-04 | @ | Iowa Hawkeyes | L | 59 - 72 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Veronica Burton
|
- | 9 | 39.6 | 17.4 | 7.1 | 6.7 | 3.1 | 0.7 | 2.1 | 14.6 | 18.3 | - | - | - | 36.6 | 23.3 | 82.3 | 0.82 | 49.6 | 40.5 |
J. Brown
|
G | 8 | 35.1 | 9.1 | 4.9 | 2.8 | 0.8 | 0.5 | 2.1 | 9.1 | 6.8 | -23 | -23.0 | -92.0 | 38.4 | 25.7 | 66.7 | 0.72 | 46.6 | 44.5 |
L. Satterwhite
|
G | 9 | 25.0 | 8.6 | 2.1 | 1.3 | 0.6 | 0.1 | 1.2 | 9.3 | 2.1 | - | - | - | 32.1 | 30.4 | 52.9 | 0.79 | 42.1 | 40.5 |
C. Shaw
|
F | 9 | 33.7 | 7.8 | 10.9 | 0.8 | 1.4 | 1.2 | 2.0 | 5.6 | 14.6 | - | - | - | 56.0 | 0 | 73.7 | 0.36 | 60.0 | 56.0 |
C. Walsh
|
F | 8 | 15.8 | 6.6 | 2.9 | 0.5 | 0.6 | 0.9 | 1.1 | 8.2 | 2.1 | 36 | 1.9 | 12.1 | 33.3 | 20.0 | 50.0 | 1.11 | 38.1 | 37.1 |
L. Hartman
|
G | 8 | 29.9 | 6.5 | 2.2 | 1.2 | 0.4 | 0.1 | 1.2 | 8.2 | 1.0 | -14 | -0.9 | -4.5 | 30.3 | 33.3 | 25.0 | 0.41 | 38.4 | 38.6 |
M. Daley
|
G | 9 | 15.9 | 6.2 | 1.1 | 0.7 | 0.6 | 0.0 | 1.1 | 6.9 | 0.6 | 47 | 2.6 | 12.2 | 38.7 | 25.0 | 87.5 | 0.98 | 42.7 | 39.5 |
H. Weaver
|
G | 1 | 5.0 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | 1.0 | -23 | -7.7 | -74.4 | 50.0 | 100.0 | 0 | -0.48 | 75.0 | 75.0 |
P. Mott
|
F | 9 | 12.9 | 2.1 | 2.2 | 0.4 | 0.1 | 0.3 | 0.8 | 3.3 | 1.1 | 64 | 3.8 | 17.5 | 30.0 | 0.0 | 50.0 | 0.96 | 30.8 | 30.0 |
K. Rainey
|
G | 7 | 4.7 | 2.0 | 0.4 | 0.4 | 0.3 | 0.0 | 0.3 | 1.3 | 1.6 | - | - | - | 44.4 | 50.0 | 66.7 | 1.11 | 60.1 | 55.6 |
A. Morris
|
F | 5 | 2.6 | 1.2 | 0.4 | 0.0 | 0.0 | 0.0 | 0.4 | 1.2 | 0.0 | - | - | - | 50.0 | 0.0 | 0 | 2.34 | 50.0 | 50.0 |
J. McWilliams
|
G | 3 | 6.0 | 0.7 | 1.3 | 0.0 | 0.3 | 0.0 | 0.0 | 0.7 | 1.7 | 8 | 1.1 | 8.8 | 0.0 | 0.0 | 100.0 | 0.02 | 34.7 | 0.0 |
M. Ademusayo
|
F | 5 | 3.6 | 0.4 | 0.4 | 0.0 | 0.2 | 0.6 | 0.2 | 0.6 | 0.8 | -11 | -2.2 | -13.6 | 33.3 | 0 | 0.0 | -0.0 | 25.8 | 33.3 |
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