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
-
Est. poss./game
74.1
Adj PPG
57.1
Adj Opp PPG
#17
Scoring Rank
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 โ | 1397 (#17) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1282 (#23) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1094 (#53) | HCA +89 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +18.3 (#17) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +17.0 (#19) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.847 (#18) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.959 (#13) | AdjNet +27.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.961 (#13) | AdjNet +27.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.824 (#17) | AdjO 74.1 | AdjD 57.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.724 (#21) | AdjO 71.4 | AdjD 60.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.866 (#21) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More โ | 0.852 (#20) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 1286 (#25) | RD 91 | GP 37 |
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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Bronson Koenig
|
G | 33 | 31.3 | 14.4 | 2.0 | 2.1 | 0.6 | 0.4 | 1.5 | 10.9 | 7.1 | 175 | 29 | 6.0 | 8.8 | 43.2 | 41.8 | 89.1 | 1.19 | 61.8 | 56.0 |
Ethan Happ
|
F | 34 | 27.7 | 14.2 | 8.6 | 2.9 | 1.8 | 1.1 | 2.2 | 9.7 | 16.8 | 194 | 30 | 6.5 | 10.9 | 59.0 | 0 | 50.3 | 3.32 | 61.2 | 59.0 |
N. Hayes-Davis
|
F | 34 | 32.8 | 14.0 | 6.9 | 2.7 | 0.8 | 0.4 | 1.7 | 10.1 | 13.0 | 193 | 30 | 6.4 | 9.5 | 46.2 | 34.9 | 57.8 | 3.82 | 54.8 | 48.4 |
Zak Showalter
|
G | 34 | 29.5 | 8.1 | 2.8 | 1.8 | 1.6 | 0.3 | 1.1 | 5.5 | 8.1 | 174 | 30 | 5.8 | 9.2 | 50.0 | 39.3 | 81.4 | 0.26 | 66.9 | 61.2 |
Vitto Brown
|
F | 34 | 21.0 | 7.0 | 3.9 | 0.9 | 0.5 | 0.5 | 1.4 | 5.9 | 5.4 | 182 | 30 | 6.1 | 13.5 | 38.6 | 29.7 | 77.4 | 4.36 | 55.0 | 47.3 |
D'Mitrik Trice
|
G | 34 | 18.7 | 5.8 | 1.9 | 1.8 | 0.5 | 0.1 | 0.9 | 5.0 | 4.1 | 39 | 30 | 1.3 | 3.4 | 37.6 | 40.5 | 75.8 | -0.71 | 53.7 | 47.6 |
Khalil Iverson
|
G | 32 | 15.3 | 3.8 | 3.2 | 0.7 | 0.6 | 0.5 | 1.0 | 2.5 | 5.2 | 31 | 28 | 1.1 | 3.4 | 53.1 | 36.4 | 57.7 | 0.02 | 57.8 | 55.6 |
Charles Thomas
|
F | 25 | 6.0 | 2.0 | 1.2 | 0.2 | 0.0 | 0.1 | 0.6 | 1.6 | 1.4 | -13 | 19 | -0.7 | -4.8 | 45.0 | 50.0 | 91.7 | -1.55 | 56.3 | 47.5 |
Brevin Pritzl
|
G | 22 | 7.6 | 1.8 | 1.0 | 0.0 | 0.3 | 0.0 | 0.2 | 1.3 | 1.5 | -13 | 18 | -0.7 | -4.2 | 37.9 | 23.5 | 76.9 | -3.16 | 56.2 | 44.8 |
Jordan Hill
|
G | 32 | 10.2 | 1.5 | 1.2 | 0.4 | 0.2 | 0.0 | 0.2 | 1.4 | 1.6 | 32 | 28 | 1.1 | 5.6 | 37.8 | 24.1 | 66.7 | 0.0 | 48.0 | 45.6 |
Alex Illikainen
|
F | 25 | 7.8 | 1.3 | 1.3 | 0.3 | 0.0 | 0.1 | 0.2 | 1.0 | 1.9 | -10 | 21 | -0.5 | -2.7 | 36.0 | 20.0 | 50.0 | -2.0 | 52.8 | 40.0 |
Andy Van Vliet
|
F | 12 | 3.5 | 1.3 | 1.2 | 0.2 | 0.0 | 0.2 | 0.2 | 1.1 | 1.7 | -4 | 9 | -0.4 | -6.2 | 38.5 | 42.9 | 75.0 | -1.35 | 54.2 | 50.0 |
T.J. Schlundt
|
G | 11 | 1.6 | 0.3 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | 0 | 8 | 0.0 | 0.0 | 20.0 | 0.0 | 100.0 | -0.97 | 27.6 | 20.0 |
Aaron Moesch
|
F | 16 | 2.2 | 0.2 | 0.4 | 0.1 | 0.1 | 0.0 | 0.0 | 0.2 | 0.6 | 0 | 13 | 0.0 | 0.0 | 25.0 | 0 | 50.0 | -0.98 | 30.7 | 25.0 |
Matt Ferris
|
G | 9 | 1.1 | 0.0 | 0.4 | 0.1 | 0.1 | 0.0 | 0.0 | 0.6 | 0.1 | 5 | 6 | 0.8 | 47.4 | 0.0 | 0.0 | 0 | -0.06 | 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