Wisconsin
2017 Team Stats (30 games)
72.9
PPG
62.0
Opp
+10.9
Margin
46.1%
FG%
36.2%
3P%
64.1%
FT%
36.8
RPG
13.6
APG
10.9
TO
77.0
Pace
Model Outputs
2016-2017
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 → | 1668 (#21) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1466 (#57) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +38.3 (#23) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.743 (#16) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.738 (#14) | NetEff +9.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.808 (#26) | AdjNet +12.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.812 (#26) | AdjNet +12.6 |
2017 Schedule & Results
2017 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
N. Hayes-Davis
|
F | 30 | 32.5 | 14.4 | 6.9 | 2.5 | 0.8 | 0.4 | 1.6 | 10.7 | 12.6 | - | - | - | 46.9 | 35.9 | 59.1 | - | 52.9 | 49.1 |
B. Koenig
|
G | 29 | 31.4 | 14.3 | 2.0 | 2.2 | 0.7 | 0.4 | 1.3 | 11.7 | 6.6 | - | - | - | 42.3 | 40.3 | 90.2 | - | 57.6 | 54.6 |
E. Happ
|
F | 30 | 27.6 | 14.2 | 8.6 | 2.8 | 1.7 | 1.1 | 2.1 | 10.1 | 16.4 | - | - | - | 58.9 | 0 | 50.4 | - | 58.6 | 58.9 |
Z. Showalter
|
G | 30 | 29.5 | 8.4 | 2.8 | 1.7 | 1.8 | 0.3 | 1.1 | 6.0 | 7.8 | - | - | - | 49.4 | 39.0 | 82.1 | - | 63.7 | 60.8 |
V. Brown
|
F | 30 | 20.4 | 6.4 | 4.0 | 0.9 | 0.4 | 0.5 | 1.4 | 6.0 | 4.9 | - | - | - | 38.1 | 29.6 | 75.9 | - | 49.5 | 47.0 |
D. Trice
|
G | 30 | 19.6 | 5.9 | 1.9 | 2.0 | 0.5 | 0.0 | 1.0 | 5.5 | 3.9 | - | - | - | 37.2 | 39.2 | 77.4 | - | 49.8 | 46.6 |
K. Iverson
|
G | 28 | 16.3 | 4.3 | 3.5 | 0.8 | 0.6 | 0.5 | 1.0 | 2.9 | 5.7 | - | - | - | 53.1 | 36.4 | 57.7 | - | 57.8 | 55.6 |
C. Thomas IV
|
F | 22 | 5.9 | 2.2 | 1.1 | 0.2 | 0.0 | 0.1 | 0.6 | 1.7 | 1.4 | - | - | - | 47.4 | 50.0 | 91.7 | - | 56.6 | 50.0 |
B. Pritzl
|
G | 20 | 8.3 | 1.8 | 1.0 | 0.1 | 0.3 | 0.0 | 0.2 | 1.4 | 1.4 | - | - | - | 37.9 | 23.5 | 76.9 | - | 51.8 | 44.8 |
A. Van Vliet
|
F | 10 | 3.7 | 1.6 | 1.4 | 0.2 | 0.0 | 0.1 | 0.2 | 1.2 | 1.9 | - | - | - | 41.7 | 50.0 | 75.0 | - | 58.1 | 54.2 |
J. Hill
|
G | 28 | 10.2 | 1.5 | 1.1 | 0.4 | 0.2 | 0.0 | 0.2 | 1.5 | 1.4 | 40 | 3.3 | 4.6 | 38.1 | 25.0 | 60.0 | 1.09 | 47.5 | 46.4 |
A. Illikainen
|
F | 21 | 6.9 | 1.2 | 1.2 | 0.2 | 0.0 | 0.1 | 0.1 | 1.0 | 1.7 | - | - | - | 40.9 | 25.0 | 54.5 | - | 48.4 | 45.5 |
T.J. Schlundt
|
G | 9 | 1.8 | 0.3 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6 | 0.0 | - | - | - | 20.0 | 0.0 | 100.0 | - | 27.6 | 20.0 |
A. Moesch
|
F | 14 | 2.4 | 0.2 | 0.5 | 0.1 | 0.1 | 0.0 | 0.0 | 0.3 | 0.6 | - | - | - | 25.0 | 0 | 50.0 | - | 30.7 | 25.0 |
M. Ferris
|
G | 8 | 1.1 | 0.0 | 0.4 | 0.1 | 0.1 | 0.0 | 0.0 | 0.6 | 0.0 | - | - | - | 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