Wisconsin
2018 Team Stats (5 games)
58.2
PPG
68.2
Opp
-6.0
Margin
39.2%
FG%
23.2%
3P%
76.8%
FT%
31.2
RPG
10.0
APG
11.6
TO
71.4
Pace
Model Outputs
2017-2018
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 → | 1653 (#20) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1452 (#57) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +37.7 (#25) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.147 (#87) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.334 (#85) | AdjNet -6.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.334 (#85) | AdjNet -5.9 |
2018 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2017-12-27 | vs | Chicago State Cougars | W | 82 - 70 |
| 2018-01-05 | @ | Rutgers Scarlet Knights | L | 60 - 64 |
| 2018-01-16 | @ | Purdue Boilermakers | L | 50 - 78 |
| 2018-01-26 | @ | Michigan State Spartans | L | 61 - 76 |
| 2018-02-15 | vs | Purdue Boilermakers | W | 57 - 53 |
| 2018-02-25 | vs | Michigan State Spartans | L | 63 - 68 |
2018 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
E. Happ
|
F | 6 | 31.3 | 16.7 | 8.8 | 4.0 | 1.5 | 0.3 | 4.0 | 15.7 | 11.7 | - | - | - | 43.6 | 0.0 | 52.9 | - | 45.9 | 43.6 |
B. Davison
|
G | 6 | 34.7 | 14.2 | 2.7 | 2.5 | 0.7 | 0.2 | 3.0 | 10.8 | 6.3 | - | - | - | 43.1 | 27.3 | 95.2 | - | 57.2 | 50.0 |
B. Pritzl
|
G | 6 | 34.5 | 9.8 | 4.8 | 1.0 | 1.0 | 0.3 | 0.3 | 8.7 | 8.0 | - | - | - | 36.5 | 22.6 | 82.4 | - | 49.6 | 43.3 |
K. Iverson
|
G | 6 | 30.0 | 7.5 | 4.8 | 0.7 | 0.5 | 0.7 | 1.7 | 4.8 | 7.7 | - | - | - | 51.7 | 0.0 | 75.0 | - | 59.5 | 51.7 |
N. Reuvers
|
F | 6 | 17.2 | 5.5 | 2.0 | 0.7 | 0.5 | 1.0 | 0.7 | 4.8 | 4.2 | - | - | - | 37.9 | 35.7 | 100.0 | - | 52.1 | 46.6 |
A. Ford
|
- | 6 | 24.0 | 5.0 | 2.8 | 0.7 | 0.2 | 0.3 | 0.0 | 3.8 | 5.2 | - | - | - | 30.4 | 30.0 | 90.9 | -0.24 | 53.9 | 43.5 |
C. Thomas IV
|
F | 3 | 9.0 | 2.0 | 1.3 | 0.0 | 0.3 | 0.3 | 0.0 | 2.3 | 1.7 | - | - | - | 42.9 | 0.0 | 0 | - | 42.9 | 42.9 |
A. Illikainen
|
F | 6 | 6.3 | 1.3 | 1.0 | 0.3 | 0.0 | 0.2 | 0.0 | 1.0 | 1.8 | - | - | - | 50.0 | 50.0 | 0 | - | 66.7 | 66.7 |
A. Moesch
|
F | 6 | 6.7 | 0.8 | 0.5 | 0.5 | 0.3 | 0.0 | 0.0 | 0.2 | 2.0 | - | - | - | 100.0 | 0 | 75.0 | - | 90.6 | 100.0 |
T.J. Schlundt
|
G | 5 | 7.0 | 0.4 | 0.2 | 0.0 | 0.2 | 0.0 | 0.2 | 1.0 | -0.4 | - | - | - | 20.0 | 0.0 | 0 | - | 20.0 | 20.0 |
M. Ferris
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
A. Van Vliet
|
F | 2 | 5.5 | 0.0 | 0.5 | 0.5 | 0.0 | 0.0 | 0.5 | 1.5 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
W. McGrory
|
G | 3 | 6.0 | 0.0 | 0.3 | 0.3 | 0.3 | 0.0 | 1.3 | 0.0 | -0.3 | - | - | - | 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