Wisconsin Badgers
2023 Team Stats (8 games)
65.5
PPG
83.2
Opp
-17.7
Margin
42.2%
FG%
35.7%
3P%
80.6%
FT%
30.1
RPG
15.9
APG
19.4
TO
81.6
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 → | 1108 (#120) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1183 (#94) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +31.4 (#68) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.246 (#265) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-24 | @ | Georgia Lady Bulldogs | L | 60 - 68 |
| 2022-11-26 | vs | VCU Rams | L | 67 - 75 |
| 2022-12-04 | vs | Iowa Hawkeyes | L | 71 - 102 |
| 2023-01-15 | @ | Indiana Hoosiers | L | 56 - 93 |
| 2023-01-19 | vs | Maryland Terrapins | L | 64 - 77 |
| 2023-02-01 | vs | Ohio State Buckeyes | L | 67 - 90 |
| 2023-02-15 | @ | Iowa Hawkeyes | L | 61 - 91 |
| 2023-02-26 | vs | Michigan Wolverines | W | 78 - 70 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. Williams
|
F | 8 | 24.0 | 12.6 | 4.4 | 0.9 | 0.9 | 1.6 | 3.1 | 9.2 | 8.0 | - | - | - | 54.1 | 0 | 63.6 | - | 57.0 | 54.1 |
J. Pospisilova
|
G | 8 | 34.0 | 12.5 | 4.1 | 3.6 | 1.4 | 0.5 | 4.4 | 11.9 | 5.9 | - | - | - | 41.1 | 30.6 | 84.6 | - | 49.6 | 46.8 |
A. LaBarbera
|
G | 7 | 34.4 | 11.4 | 4.7 | 3.3 | 0.7 | 0.0 | 2.3 | 9.1 | 8.7 | - | - | - | 42.2 | 41.4 | 93.3 | - | 56.7 | 51.6 |
M. Wilke
|
G | 8 | 32.4 | 11.1 | 3.0 | 2.8 | 1.2 | 0.2 | 1.6 | 9.2 | 7.5 | - | - | - | 40.5 | 39.5 | 100.0 | - | 56.1 | 52.0 |
S. Hilliard
|
G | 1 | 23.0 | 11.0 | 3.0 | 2.0 | 0.0 | 0.0 | 5.0 | 8.0 | 3.0 | - | - | - | 62.5 | 0 | 100.0 | - | 65.2 | 62.5 |
B. Schramek
|
G | 8 | 30.2 | 9.6 | 3.9 | 2.6 | 1.2 | 0.8 | 3.9 | 9.6 | 4.6 | - | - | - | 37.7 | 30.8 | 91.7 | - | 46.8 | 42.9 |
L. Krahn
|
G | 4 | 5.8 | 2.8 | 0.5 | 0.2 | 0.0 | 0.2 | 0.2 | 1.0 | 2.5 | - | - | - | 75.0 | 75.0 | 100.0 | - | 112.7 | 112.5 |
S. Copeland
|
G | 8 | 17.4 | 2.8 | 1.9 | 1.2 | 0.8 | 0.1 | 1.0 | 2.0 | 3.8 | - | - | - | 43.8 | 35.7 | 50.0 | - | 59.0 | 59.4 |
R. Porter
|
G | 7 | 11.0 | 2.7 | 1.6 | 1.0 | 0.1 | 0.0 | 0.4 | 2.7 | 2.3 | - | - | - | 31.6 | 30.0 | 100.0 | - | 45.8 | 39.5 |
S. Vanderpool
|
F | 1 | 1.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
N. Leuzinger
|
G | 6 | 10.7 | 1.5 | 1.7 | 0.5 | 0.0 | 0.0 | 1.2 | 1.5 | 1.0 | - | - | - | 44.4 | 20.0 | 0 | - | 50.0 | 50.0 |
K. Ellew
|
G | 4 | 6.0 | 0.8 | 0.5 | 0.0 | 0.2 | 0.0 | 0.5 | 1.5 | -0.5 | - | - | - | 16.7 | 33.3 | 0 | - | 25.0 | 25.0 |
S. Stapleton
|
C | 4 | 4.5 | 0.0 | 1.0 | 0.2 | 0.0 | 0.2 | 0.8 | 0.8 | 0.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
S. White
|
F | 3 | 6.3 | 0.0 | 1.3 | 0.3 | 0.0 | 0.0 | 0.3 | 1.3 | 0.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
T. Towers
|
C | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
M. Ferrito
|
G | 2 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | -0.5 | - | - | - | 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