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Minnesota

Also known as: Minnesota Golden Gophers
Program History

2012 Team Stats (9 games)

58.8
PPG
69.8
Opp
-11.0
Margin
35.7%
FG%
36.4%
3P%
75.0%
FT%
36.6
RPG
9.7
APG
0.0
TO
-
Est. poss./game
67.4
Adj PPG
56.3
Adj Opp PPG
#62
Scoring Rank

Model Outputs

2011-2012
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†’ 1079 (#126) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1079 (#115) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +78 elo More โ†’ 999 (#163) HCA +78 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More โ†’ +12.6 (#58) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.7 More โ†’ +10.7 (#66) HCA +2.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.617 (#130) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +19.9 More โ†’ 0.908 (#59) AdjNet +19.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +20.4 More โ†’ 0.915 (#59) AdjNet +20.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 67.4 | AdjD 56.3 More โ†’ 0.733 (#62) AdjO 67.4 | AdjD 56.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.8 | AdjD 58.8 More โ†’ 0.611 (#83) AdjO 63.8 | AdjD 58.8
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†’ 0.740 (#73) 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†’ 0.718 (#74) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 126 | GP 26 More โ†’ 1094 (#105) RD 126 | GP 26

2012 Schedule & Results

Date Vs/At Opponent Result Score
2011-11-20 vs North Dakota State Bison W 80 - 41
2011-12-01 @ Wake Forest Demon Deacons L 65 - 82
2011-12-04 vs Baylor Bears L 60 - 89
2011-12-07 vs Air Force Falcons W 81 - 46
2011-12-10 vs Harvard Crimson W 79 - 53
2011-12-14 @ Denver Pioneers L 63 - 72
2011-12-23 vs NJIT Highlanders W 71 - 47
2011-12-30 @ Purdue Boilermakers L 53 - 57
2012-01-02 vs Indiana Hoosiers W 84 - 43
2012-01-05 @ Northwestern Wildcats W 68 - 60
2012-01-12 vs Purdue Boilermakers L 55 - 72
2012-01-15 @ Michigan Wolverines L 57 - 61
2012-01-19 vs Michigan State Spartans W 71 - 65
2012-01-22 @ Nebraska Cornhuskers L 49 - 64
2012-01-26 vs Wisconsin Badgers L 72 - 78
2012-01-29 vs Ohio State Buckeyes W 76 - 65
2012-02-02 @ Illinois Fighting Illini L 67 - 72
2012-02-05 vs Penn State Lady Lions L 65 - 68
2012-02-09 @ Iowa Hawkeyes L 58 - 75
2012-02-13 vs Nebraska Cornhuskers W 64 - 58
2012-02-16 vs Illinois Fighting Illini W 60 - 53
2012-02-23 @ Ohio State Buckeyes L 56 - 81
2012-02-26 @ Penn State Lady Lions L 51 - 74
2012-03-01 vs Wisconsin Badgers W 81 - 49
2012-03-02 @ Penn State Lady Lions L 74 - 78
2012-03-23 vs Manhattan Jaspers W 67 - 54

2012 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%
R. Banham R. Banham G 9 0.0 15.7 4.6 2.1 1.1 0.2 3.9 13.7 6.1 107 31 3.5 4.4 43.1 39.3 80.0 3.53 51.8 47.6
K. Buford K. Buford NA 9 0.0 10.9 3.9 3.0 2.1 0.9 4.2 12.2 4.3 54 31 1.7 2.3 34.5 46.2 72.7 -0.4 40.9 37.3
M. Riche M. Riche F 1 0.0 10.0 7.0 0.0 1.0 0.0 4.0 11.0 3.0 61 28 2.2 5.6 36.4 0 100.0 3.51 42.1 36.4
K. Kellogg K. Kellogg NA 5 0.0 7.4 7.4 1.2 0.4 0.2 1.8 6.6 8.2 -25 29 -0.9 -1.6 42.4 100.0 77.8 -1.98 50.1 45.5
K. Loberg K. Loberg NA 8 0.0 7.2 5.6 0.6 0.0 0.9 1.9 8.9 3.6 89 30 3.0 5.7 32.4 0 75.0 3.64 37.2 32.4
B. Mastey B. Mastey NA 3 0.0 6.3 8.0 1.3 1.3 0.3 2.7 5.0 9.7 78 31 2.5 5.4 33.3 0.0 75.0 2.32 46.8 33.3
L. Cotton L. Cotton - 5 0.0 4.6 2.2 2.2 1.0 0.4 2.0 5.2 3.2 -15 31 -0.5 -1.1 19.2 33.3 70.6 -1.69 34.3 21.2
J. Voigt J. Voigt NA 4 0.0 1.0 3.8 0.5 0.8 0.0 1.5 2.2 2.2 107 25 4.3 9.0 22.2 0.0 0 1.77 22.2 22.2
S. Noga S. Noga G 1 0.0 0.0 0.0 1.0 0.0 0.0 2.0 2.0 -3.0 67 26 2.6 7.0 0.0 0.0 0 2.54 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