Wisconsin
2013 Team Stats (19 games)
62.8
PPG
55.9
Opp
+6.9
Margin
41.1%
FG%
31.9%
3P%
64.4%
FT%
36.8
RPG
12.9
APG
10.6
TO
-
Est. poss./game
65.2
Adj PPG
49.3
Adj Opp PPG
#12
Scoring Rank
Model Outputs
2012-2013
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 | 1368 (#20) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1232 (#36) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1088 (#61) | HCA +102 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +17.1 (#12) | HCA +3.1 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +16.6 (#12) | HCA +3.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.851 (#21) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.960 (#12) | AdjNet +27.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.962 (#12) | AdjNet +27.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.810 (#12) | AdjO 65.2 | AdjD 49.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.720 (#18) | AdjO 62.4 | AdjD 52.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.859 (#14) | 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 | 0.846 (#14) | 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 | 1256 (#28) | RD 107 | GP 35 |
2013 Schedule & Results
2013 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ben Brust
|
G | 35 | 34.3 | 11.1 | 5.1 | 2.3 | 1.0 | 0.1 | 1.1 | 5.9 | 12.5 | 230 | 29 | 7.9 | 10.2 | 41.7 | 38.6 | 78.3 | 3.91 | 89.8 | 53.6 |
Jared Berggren
|
F-C | 35 | 28.5 | 11.0 | 6.9 | 0.9 | 0.6 | 2.1 | 1.0 | 5.9 | 14.5 | 164 | 29 | 5.7 | 8.7 | 45.4 | 25.4 | 74.3 | 2.76 | 81.4 | 49.3 |
Ryan Evans
|
F | 35 | 29.1 | 10.1 | 7.3 | 2.0 | 0.7 | 0.8 | 1.6 | 6.0 | 13.4 | 156 | 29 | 5.4 | 8.1 | 37.8 | 14.3 | 44.8 | 1.69 | 74.0 | 38.3 |
Sam Dekker
|
F | 35 | 22.3 | 9.6 | 3.4 | 1.3 | 0.7 | 0.4 | 1.1 | 4.1 | 10.2 | 167 | 29 | 5.8 | 11.7 | 49.3 | 41.2 | 70.2 | 3.28 | 101.7 | 61.5 |
Traevon Jackson
|
G | 35 | 27.8 | 6.9 | 2.5 | 2.8 | 1.0 | 0.2 | 2.1 | 4.3 | 7.1 | 119 | 29 | 4.1 | 6.5 | 39.6 | 35.3 | 77.4 | -0.62 | 74.4 | 45.6 |
Mike Bruesewitz
|
F | 33 | 28.0 | 6.4 | 5.3 | 1.8 | 0.9 | 0.3 | 1.5 | 3.4 | 9.8 | 170 | 27 | 6.3 | 9.7 | 36.6 | 23.5 | 58.6 | 2.31 | 84.2 | 43.8 |
Frank Kaminsky
|
F | 32 | 10.3 | 4.2 | 1.8 | 0.8 | 0.4 | 0.5 | 0.3 | 1.5 | 5.9 | 109 | 26 | 4.2 | 17.4 | 28.6 | 16.0 | 83.3 | 2.36 | 122.5 | 32.7 |
George Marshall
|
G | 35 | 15.8 | 4.1 | 0.7 | 1.0 | 0.2 | 0.0 | 0.5 | 2.3 | 3.2 | 131 | 29 | 4.5 | 12.5 | 31.2 | 30.9 | 50.0 | 0.09 | 85.6 | 41.9 |
Zak Showalter
|
G | 22 | 6.7 | 1.7 | 1.0 | 0.5 | 0.3 | 0.0 | 0.4 | 0.5 | 2.8 | 11 | 19 | 0.6 | 3.9 | 27.3 | 0.0 | 75.0 | -1.31 | 113.6 | 27.3 |
Dan Fahey
|
G | 10 | 2.8 | 1.1 | 0.6 | 0.2 | 0.1 | 0.1 | 0.2 | 0.3 | 1.6 | 3 | 8 | 0.4 | 5.5 | 66.7 | 0 | 75.0 | -0.12 | 115.5 | 66.7 |
Zach Bohannon
|
F | 17 | 4.7 | 1.0 | 1.4 | 0.1 | 0.1 | 0.1 | 0.2 | 0.4 | 2.2 | -4 | 14 | -0.3 | -2.6 | 66.7 | 100.0 | 0.0 | -2.54 | 116.1 | 75.0 |
Evan Anderson
|
C | 12 | 3.2 | 0.8 | 0.2 | 0.2 | 0.1 | 0.0 | 0.2 | 0.3 | 0.6 | -7 | 10 | -0.7 | -8.4 | 50.0 | 0.0 | 0 | -1.32 | 112.5 | 50.0 |
Jordan Smith
|
G | 10 | 2.1 | 0.7 | 0.4 | 0.1 | 0.0 | 0.0 | 0.0 | 0.5 | 0.7 | -3 | 8 | -0.4 | -7.9 | 20.0 | 0.0 | 0 | -1.16 | 70.0 | 20.0 |
J.D. Wise
|
G | 9 | 1.4 | 0.6 | 0.3 | 0.0 | 0.1 | 0.0 | 0.2 | 0.3 | 0.4 | -6 | 7 | -0.9 | -24.1 | 33.3 | 100.0 | 0 | -1.65 | 83.3 | 50.0 |
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