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Wisconsin

Also known as: Wisconsin Badgers
Program History

2009 Team Stats (24 games)

57.8
PPG
56.5
Opp
+1.3
Margin
39.2%
FG%
35.8%
3P%
69.8%
FT%
29.0
RPG
11.7
APG
0.0
TO
-
Est. poss./game
61.6
Adj PPG
50.3
Adj Opp PPG
#58
Scoring Rank

Model Outputs

2008-2009
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†’ 1213 (#70) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1180 (#62) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +85 elo More โ†’ 1007 (#150) HCA +85 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.2 More โ†’ +13.0 (#55) HCA +3.2
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ +11.6 (#63) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.501 (#173) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +20.3 More โ†’ 0.912 (#55) AdjNet +20.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +20.6 More โ†’ 0.915 (#55) AdjNet +20.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 61.6 | AdjD 50.3 More โ†’ 0.737 (#58) AdjO 61.6 | AdjD 50.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 57.6 | AdjD 53.6 More โ†’ 0.591 (#95) AdjO 57.6 | AdjD 53.6
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†’ 0.757 (#62) 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†’ 0.732 (#67) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 110 | GP 34 More โ†’ 1124 (#85) RD 110 | GP 34

2009 Schedule & Results

Date Vs/At Opponent Result Score
2008-11-17 @ South Dakota State Jackrabbits L 44 - 64
2008-11-20 vs Drake Bulldogs W 55 - 39
2008-11-23 vs Canisius Golden Griffins W 69 - 54
2008-11-27 vs Villanova Wildcats W 47 - 45
2008-11-28 @ UCF Knights W 65 - 61
2008-11-29 @ Baylor Bears W 59 - 58
2008-12-02 vs Milwaukee Panthers W 71 - 69
2008-12-04 vs Virginia Tech Hokies W 61 - 52
2008-12-07 vs Northern Illinois Huskies W 70 - 64
2008-12-10 @ Green Bay Phoenix W 59 - 47
2008-12-13 vs Marquette Golden Eagles W 67 - 48
2008-12-22 vs Iowa Hawkeyes L 63 - 73
2008-12-29 vs Minnesota Golden Gophers W 62 - 52
2009-01-01 @ Illinois Fighting Illini W 53 - 38
2009-01-04 @ Northwestern Wildcats L 46 - 49
2009-01-08 vs Ohio State Buckeyes L 42 - 55
2009-01-11 vs Michigan Wolverines W 58 - 54
2009-01-15 @ Indiana Hoosiers L 61 - 64
2009-01-18 vs Illinois Fighting Illini W 61 - 43
2009-01-22 @ Penn State Lady Lions L 56 - 58
2009-01-25 @ Michigan State Spartans L 50 - 59
2009-01-29 vs Purdue Boilermakers L 51 - 52
2009-02-01 @ Michigan Wolverines L 42 - 70
2009-02-08 @ Purdue Boilermakers L 49 - 66
2009-02-12 vs Penn State Lady Lions W 58 - 52
2009-02-16 vs Indiana Hoosiers L 61 - 67
2009-02-19 @ Iowa Hawkeyes L 65 - 72
2009-02-22 vs Michigan State Spartans W 54 - 51
2009-02-26 @ Ohio State Buckeyes L 53 - 75
2009-03-05 vs Northwestern Wildcats W 60 - 51
2009-03-06 @ Michigan State Spartans W 56 - 50
2009-03-07 @ Purdue Boilermakers L 56 - 70
2009-03-22 vs Kentucky Wildcats W 49 - 45
2009-03-26 vs St. Bonaventure Bonnies L 51 - 56

2009 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%
A. Karel A. Karel G 24 0.0 12.8 3.3 1.7 1.6 0.5 2.4 12.6 4.9 - - - - 38.9 39.4 71.4 - 47.7 45.7
T. Steinbauer T. Steinbauer C 11 0.0 11.8 7.2 1.0 0.9 0.3 2.0 9.3 9.9 - - - - 48.0 54.5 74.3 - 55.4 51.0
M. Dunham M. Dunham F 9 0.0 11.2 6.4 1.3 0.8 1.6 1.6 8.8 11.0 - - - - 44.3 39.3 66.7 - 54.8 51.3
T. Gant T. Gant G 23 0.0 8.0 4.0 2.3 1.2 0.4 1.8 7.2 6.9 - - - - 36.4 36.0 70.0 - 46.2 39.1
T. Grant T. Grant NA 1 0.0 8.0 3.0 2.0 3.0 0.0 2.0 9.0 5.0 - - - - 44.4 0.0 0 - 44.4 44.4
L. Zastrow L. Zastrow G 23 0.0 7.7 5.0 1.6 0.9 1.2 1.6 7.2 7.7 - - - - 40.4 25.0 76.0 - 47.3 42.2
R. D'Alie R. D'Alie G 23 0.0 6.7 4.1 3.4 1.9 0.0 2.7 7.7 5.7 - - - - 30.7 26.2 62.0 - 39.1 35.2
J. Davis J. Davis NA 1 0.0 3.0 3.0 1.0 0.0 0.0 3.0 4.0 0.0 - - - - 25.0 33.3 0 - 37.5 37.5
C. Gibson C. Gibson C 2 0.0 2.0 2.0 0.0 0.0 0.0 1.0 3.5 -0.5 - - - - 28.6 0 0 - 28.6 28.6
A. Thomas A. Thomas NA 3 0.0 1.3 2.3 1.3 0.0 0.3 1.3 2.0 2.0 - - - - 33.3 0 0 - 33.3 33.3

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