Northwestern Wildcats
2023 Team Stats (9 games)
58.2
PPG
82.3
Opp
-24.2
Margin
35.4%
FG%
27.5%
3P%
62.5%
FT%
32.7
RPG
14.7
APG
16.1
TO
83.8
Pace
Model Outputs
2022-2023
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 → | 1005 (#205) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1112 (#142) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +25.8 (#103) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.193 (#294) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-07 | @ | Oregon Ducks | L | 57 - 100 |
| 2022-11-16 | vs | Notre Dame Fighting Irish | L | 58 - 92 |
| 2022-12-04 | @ | Michigan Wolverines | L | 66 - 77 |
| 2022-12-28 | vs | Ohio State Buckeyes | L | 48 - 81 |
| 2023-01-08 | vs | Indiana Hoosiers | L | 50 - 72 |
| 2023-01-11 | @ | Iowa Hawkeyes | L | 64 - 93 |
| 2023-01-19 | @ | Ohio State Buckeyes | L | 54 - 84 |
| 2023-01-22 | vs | Illinois Fighting Illini | L | 64 - 67 |
| 2023-02-06 | vs | Nebraska Cornhuskers | L | 66 - 78 |
| 2023-02-09 | vs | Maryland Terrapins | L | 54 - 79 |
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
P. Mott
|
F | 9 | 22.2 | 9.3 | 2.8 | 1.1 | 0.3 | 0.7 | 1.7 | 6.9 | 5.7 | - | - | - | 54.8 | 0 | 48.5 | - | 54.9 | 54.8 |
C. Walsh
|
F | 9 | 20.8 | 9.0 | 4.1 | 0.8 | 0.7 | 1.1 | 2.3 | 10.3 | 3.0 | - | - | - | 34.4 | 36.7 | 75.0 | - | 42.0 | 40.3 |
M. Daley
|
G | 2 | 15.5 | 9.0 | 0.5 | 0.0 | 0.5 | 0.0 | 1.0 | 6.0 | 3.0 | - | - | - | 66.7 | 0 | 50.0 | - | 65.4 | 66.7 |
S. Wood
|
G | 9 | 32.0 | 8.7 | 3.3 | 2.2 | 1.7 | 1.3 | 2.3 | 8.8 | 6.1 | - | - | - | 36.7 | 36.8 | 81.2 | - | 45.3 | 41.1 |
J. Brown
|
G | 9 | 21.7 | 7.0 | 2.6 | 1.3 | 1.4 | 0.7 | 1.3 | 7.6 | 4.1 | - | - | - | 26.5 | 16.1 | 91.7 | - | 40.1 | 30.1 |
C. Shaw
|
F | 9 | 17.0 | 6.1 | 4.1 | 1.0 | 0.9 | 0.2 | 0.6 | 4.7 | 7.1 | - | - | - | 42.9 | 0 | 59.4 | - | 49.0 | 42.9 |
C. Lau
|
G | 9 | 22.7 | 4.7 | 3.0 | 3.0 | 0.4 | 0.1 | 1.6 | 6.3 | 3.3 | - | - | - | 26.3 | 22.7 | 46.7 | - | 33.0 | 30.7 |
K. Rainey
|
G | 9 | 24.4 | 4.2 | 2.8 | 2.8 | 1.9 | 0.0 | 3.6 | 3.8 | 4.3 | - | - | - | 35.3 | 41.2 | 87.5 | - | 50.6 | 45.6 |
A. Goodchild
|
F | 6 | 6.0 | 3.5 | 0.2 | 0.0 | 0.2 | 0.0 | 0.8 | 3.3 | -0.3 | - | - | - | 40.0 | 28.6 | 50.0 | - | 50.3 | 50.0 |
J. McWilliams
|
G | 9 | 12.6 | 2.2 | 1.7 | 1.6 | 0.1 | 0.2 | 1.0 | 2.9 | 1.9 | - | - | - | 26.9 | 33.3 | 50.0 | - | 33.9 | 30.8 |
M. Ademusayo
|
F | 7 | 4.7 | 2.0 | 1.6 | 0.3 | 0.0 | 0.6 | 0.0 | 1.9 | 2.6 | - | - | - | 46.2 | 0 | 28.6 | - | 43.5 | 46.2 |
L. Hartman
|
G | 2 | 10.0 | 1.0 | 1.0 | 0.5 | 0.0 | 0.0 | 0.5 | 4.0 | -2.0 | - | - | - | 12.5 | 0.0 | 0 | - | 12.5 | 12.5 |
H. Weaver
|
G | 9 | 10.0 | 0.9 | 1.2 | 0.3 | 0.4 | 0.1 | 0.4 | 2.0 | 0.6 | - | - | - | 16.7 | 11.1 | 33.3 | - | 20.7 | 19.4 |
A. Morris
|
F | 4 | 7.5 | 0.0 | 0.8 | 0.5 | 0.2 | 0.0 | 0.5 | 1.8 | -0.8 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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