Wisconsin
2018 Team Stats (5 games)
58.2
PPG
67.8
Opp
-9.6
Margin
39.2%
FG%
23.2%
3P%
76.8%
FT%
31.2
RPG
10.0
APG
11.6
TO
-
Est. poss./game
69.2
Adj PPG
60.9
Adj Opp PPG
#70
Scoring Rank
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 โ | 1195 (#69) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1056 (#132) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1009 (#161) | HCA +95 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +9.3 (#68) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +10.4 (#53) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.538 (#145) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.832 (#66) | AdjNet +13.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.836 (#65) | AdjNet +14.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.681 (#70) | AdjO 69.2 | AdjD 60.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.608 (#79) | AdjO 67.7 | AdjD 62.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.706 (#71) | 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 | 0.693 (#74) | 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 | 1093 (#107) | RD 150 | GP 33 |
2018 Schedule & Results
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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ethan Happ
|
F | 30 | 30.5 | 17.5 | 8.1 | 3.8 | 1.4 | 1.0 | 2.8 | 5.0 | 24.0 | 44 | 27 | 1.6 | 2.3 | 48.3 | 0.0 | 54.8 | 4.23 | 148.9 | 48.3 |
Brad Davison
|
G | 30 | 30.9 | 12.1 | 2.4 | 2.4 | 1.3 | 0.0 | 1.8 | 4.0 | 12.4 | 27 | 27 | 1.0 | 1.4 | 40.8 | 30.2 | 93.0 | 2.18 | 130.7 | 48.8 |
D'Mitrik Trice
|
G | 10 | 31.5 | 9.4 | 2.0 | 2.3 | 0.6 | 0.1 | 1.3 | 1.0 | 12.1 | - | - | - | - | 30.0 | 16.7 | 100.0 | - | 432.0 | 35.0 |
Brevin Pritzl
|
G | 29 | 28.6 | 8.7 | 4.0 | 1.1 | 0.8 | 0.2 | 0.6 | 3.2 | 11.1 | 28 | 26 | 1.1 | 1.7 | 37.0 | 27.8 | 81.8 | -0.25 | 123.9 | 45.1 |
Khalil Iverson
|
G | 30 | 29.9 | 8.6 | 5.1 | 1.7 | 0.8 | 0.9 | 2.1 | 2.0 | 13.0 | 9 | 27 | 0.3 | 0.5 | 51.7 | 0.0 | 72.4 | 0.88 | 178.0 | 51.7 |
Aleem Ford
|
- | 30 | 24.5 | 6.2 | 2.9 | 0.9 | 0.3 | 0.2 | 0.7 | 1.6 | 8.1 | -17 | 27 | -0.6 | -1.2 | 31.2 | 33.3 | 93.3 | -1.24 | 169.4 | 44.8 |
Nate Reuvers
|
F | 25 | 17.0 | 5.4 | 2.0 | 0.8 | 0.2 | 0.8 | 1.0 | 2.4 | 5.8 | 0 | 23 | 0.0 | 0.0 | 41.7 | 29.2 | 75.0 | 1.22 | 107.1 | 47.5 |
Kobe King
|
- | 10 | 19.0 | 5.2 | 1.4 | 0.6 | 0.2 | 0.2 | 0.3 | 0.8 | 6.5 | - | - | - | - | 50.0 | 40.0 | 0 | - | 325.0 | 62.5 |
Andy Van Vliet
|
F | 15 | 7.0 | 2.7 | 1.4 | 0.2 | 0.1 | 0.2 | 0.3 | 0.3 | 4.0 | 26 | 12 | 2.2 | 13.7 | 0.0 | 0.0 | 0 | -0.3 | 512.5 | 0.0 |
Charles Thomas
|
F | 20 | 6.2 | 1.3 | 1.6 | 0.2 | 0.1 | 0.1 | 0.2 | 0.5 | 2.5 | 3 | 18 | 0.2 | 1.3 | 33.3 | 0.0 | 0.0 | 0.19 | 137.7 | 33.3 |
Aaron Moesch
|
F | 22 | 6.0 | 1.1 | 0.5 | 0.3 | 0.1 | 0.0 | 0.2 | 0.0 | 1.9 | -19 | 18 | -1.1 | -6.4 | 100.0 | 0 | 75.0 | -3.78 | 452.9 | 100.0 |
T.J. Schlundt
|
G | 21 | 8.5 | 0.9 | 0.7 | 0.3 | 0.2 | 0.1 | 0.1 | 0.3 | 1.7 | 13 | 20 | 0.7 | 3.2 | 14.3 | 0.0 | 0 | 0.55 | 135.7 | 14.3 |
Alex Illikainen
|
F | 23 | 7.3 | 0.7 | 1.0 | 0.4 | 0.0 | 0.1 | 0.2 | 0.3 | 1.7 | 23 | 16 | 1.4 | 7.1 | 50.0 | 60.0 | 0 | 1.78 | 106.2 | 68.8 |
Walt McGrory
|
G | 9 | 8.0 | 0.6 | 0.9 | 0.4 | 0.4 | 0.0 | 0.8 | 0.1 | 1.4 | 4 | 5 | 0.8 | 6.0 | 0.0 | 0.0 | 0.0 | -1.1 | 173.6 | 0.0 |
Matt Ferris
|
G | 6 | 1.3 | 0.3 | 0.5 | 0.0 | 0.0 | 0.0 | 0.3 | 0.2 | 0.3 | -1 | 6 | -0.2 | -5.4 | 100.0 | 0 | 0 | -0.87 | 100.0 | 100.0 |
Michael Ballard
|
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 |
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