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Wisconsin

Also known as: Wisconsin Badgers
Program History

2013 Team Stats (6 games)

56.3
PPG
66.8
Opp
-10.5
Margin
40.2%
FG%
31.9%
3P%
67.7%
FT%
32.0
RPG
12.7
APG
19.3
TO
-
Est. poss./game
59.9
Adj PPG
51.8
Adj Opp PPG
#78
Scoring Rank

Model Outputs

2012-2013
Catalog

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†’ 1062 (#124) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1037 (#130) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +72 elo More โ†’ 944 (#235) HCA +72 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More โ†’ +9.5 (#72) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.7 More โ†’ +10.7 (#65) HCA +2.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.381 (#199) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +13.8 More โ†’ 0.830 (#81) AdjNet +13.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +14.1 More โ†’ 0.836 (#80) AdjNet +14.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 59.9 | AdjD 51.8 More โ†’ 0.676 (#78) AdjO 59.9 | AdjD 51.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 57.8 | AdjD 54.6 More โ†’ 0.572 (#101) AdjO 57.8 | AdjD 54.6
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More โ†’ 0.660 (#95) 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. Blend of Elo, BT, Margin, PythLog, PtsOD More โ†’ 0.640 (#97) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 155 | GP 30 More โ†’ 1028 (#137) RD 155 | GP 30

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-11 vs Milwaukee Panthers W 74 - 56
2012-11-16 @ Gonzaga Bulldogs L 53 - 62
2012-11-18 @ Washington State Cougars W 52 - 44
2012-11-21 vs Washington Huskies L 55 - 60
2012-11-25 vs Evansville Purple Aces W 73 - 55
2012-11-28 @ Virginia Tech Hokies L 38 - 47
2012-12-01 vs Alabama Crimson Tide W 69 - 50
2012-12-05 vs Marquette Golden Eagles W 71 - 68
2012-12-10 vs Florida Atlantic Owls W 82 - 73
2012-12-15 vs Eastern Illinois Panthers W 76 - 47
2012-12-23 @ Green Bay Phoenix L 38 - 53
2012-12-29 @ Miami Hurricanes L 44 - 67
2013-01-02 @ Nebraska Cornhuskers L 52 - 70
2013-01-06 vs Minnesota Golden Gophers L 55 - 60
2013-01-10 vs Iowa Hawkeyes L 56 - 65
2013-01-13 @ Michigan Wolverines L 43 - 54
2013-01-17 @ Penn State Lady Lions L 40 - 84
2013-01-20 vs Ohio State Buckeyes W 68 - 49
2013-01-24 @ Iowa Hawkeyes L 60 - 71
2013-01-31 vs Penn State Lady Lions W 63 - 61
2013-02-03 vs Illinois Fighting Illini L 56 - 64
2013-02-07 @ Ohio State Buckeyes L 59 - 65
2013-02-10 vs Indiana Hoosiers W 65 - 53
2013-02-14 vs Purdue Boilermakers L 48 - 58
2013-02-18 @ Illinois Fighting Illini L 53 - 60
2013-02-23 @ Northwestern Wildcats L 52 - 54
2013-02-28 vs Nebraska Cornhuskers L 53 - 55
2013-03-03 @ Michigan State Spartans L 48 - 54
2013-03-07 @ Illinois Fighting Illini W 58 - 57
2013-03-08 @ Purdue Boilermakers L 62 - 74

2013 Roster

Minutes by Position

Not enough player minute data to plot.

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%
M. Paige M. Paige G 6 0.0 16.3 1.5 1.2 0.5 0.0 3.0 13.7 2.8 -11 26 -0.4 -0.5 40.2 23.7 69.7 3.15 50.8 45.7
H. Olawoye H. Olawoye F 6 0.0 15.5 6.5 1.3 0.7 0.8 1.8 13.2 9.8 -44 26 -1.7 -2.2 44.3 46.2 84.6 -0.1 54.9 51.9
J. Jackson J. Jackson F 6 0.0 8.0 7.0 6.2 2.3 0.3 6.0 9.2 8.7 -3 26 -0.1 -0.1 32.7 0.0 57.1 0.2 37.4 32.7
C. Rochel C. Rochel F 5 0.0 7.0 9.4 2.0 1.2 3.6 2.8 5.8 14.6 -15 25 -0.6 -0.8 51.7 0 45.5 0.71 51.7 51.7
J. Wood J. Wood F 1 0.0 6.0 9.0 0.0 0.0 0.0 5.0 3.0 7.0 23 9 2.6 4.8 66.7 0 100.0 -0.71 77.3 66.7
N. Bauman N. Bauman G 6 0.0 6.0 2.7 0.5 0.8 0.8 2.8 4.5 3.5 55 24 2.3 3.5 37.0 38.1 88.9 4.26 58.1 51.9

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