Wisconsin Badgers
2024 Team Stats (4 games)
54.5
PPG
84.5
Opp
-30.0
Margin
36.4%
FG%
20.0%
3P%
81.5%
FT%
35.8
RPG
10.3
APG
23.0
TO
82.4
Pace
Model Outputs
2023-2024
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 → | 1091 (#116) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1155 (#106) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +31.5 (#69) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.248 (#272) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.657 (#42) | AdjNet +5.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.662 (#42) | AdjNet +5.8 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-12-10 | vs | Iowa Hawkeyes | L | 65 - 87 |
| 2024-01-16 | @ | Iowa Hawkeyes | L | 50 - 96 |
| 2024-02-01 | @ | Ohio State Buckeyes | L | 49 - 87 |
| 2024-02-14 | vs | Indiana Hoosiers | L | 54 - 68 |
2024 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 | 4 | 28.5 | 17.0 | 11.8 | 1.5 | 0.5 | 1.8 | 4.0 | 13.2 | 15.2 | 31 | 3.9 | 5.1 | 49.1 | 0.0 | 80.0 | 0.42 | 55.0 | 49.1 |
R. Porter
|
G | 4 | 33.2 | 10.8 | 4.2 | 2.0 | 0.2 | 0.0 | 4.0 | 7.0 | 6.2 | -44 | -4.4 | -4.2 | 53.6 | 50.0 | 72.7 | 0.02 | 65.5 | 62.5 |
S. Copeland
|
G | 4 | 32.2 | 7.8 | 2.0 | 0.5 | 3.0 | 0.8 | 1.2 | 6.5 | 6.2 | 14 | 1.8 | 2.1 | 34.6 | 18.8 | 90.9 | 0.12 | 50.3 | 40.4 |
B. Schramek
|
G | 4 | 28.5 | 7.0 | 3.8 | 1.8 | 0.8 | 0.2 | 3.2 | 7.8 | 2.5 | -30 | -3.3 | -4.1 | 32.3 | 22.2 | 100.0 | -0.38 | 41.6 | 35.5 |
D. Jimenez
|
G | 4 | 18.8 | 3.8 | 2.2 | 1.8 | 0.5 | 0.2 | 3.5 | 6.5 | -1.5 | -56 | -5.6 | -11.5 | 15.4 | 16.7 | 66.7 | -0.78 | 25.0 | 17.3 |
H. Douglass
|
G | 4 | 17.8 | 3.0 | 3.0 | 1.5 | 0.5 | 0.5 | 3.0 | 2.5 | 3.0 | -19 | -2.1 | -3.1 | 40.0 | 25.0 | 75.0 | -0.21 | 51.0 | 45.0 |
N. Leuzinger
|
G | 4 | 24.0 | 2.5 | 2.5 | 0.8 | 0.2 | 0.2 | 1.5 | 4.5 | 0.2 | -7 | -0.8 | -0.7 | 22.2 | 0.0 | 100.0 | 0.02 | 26.5 | 22.2 |
I. Jones
|
F | 1 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 2 | 0.4 | 1.5 | 100.0 | 0 | 0 | -0.0 | 100.0 | 100.0 |
A. Guillen
|
F | 3 | 5.7 | 1.3 | 2.0 | 0.3 | 0.0 | 0.3 | 0.3 | 1.7 | 2.0 | - | - | - | 40.0 | 0.0 | 0 | - | 40.0 | 40.0 |
L. Krahn
|
G | 2 | 3.5 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.5 | -0.5 | -20 | -4.0 | -21.4 | 0.0 | 0.0 | 100.0 | -0.36 | 53.2 | 0.0 |
T. Grady
|
F | 3 | 11.3 | 1.0 | 1.0 | 0.3 | 0.3 | 0.0 | 1.3 | 3.0 | -1.7 | -23 | -3.8 | -16.2 | 11.1 | 11.1 | 0 | -0.22 | 16.7 | 16.7 |
L. Patibandla
|
G | 3 | 2.7 | 0.0 | 0.7 | 0.0 | 0.0 | 0.0 | 0.3 | 0.3 | 0.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 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