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Minnesota

Also known as: Minnesota Golden Gophers, Minnesota
Program History

2013 Team Stats (22 games)

68.9
PPG
64.0
Opp
+4.9
Margin
43.7%
FG%
34.4%
3P%
67.9%
FT%
38.5
RPG
14.6
APG
13.1
TO
-
Est. poss./game
71.8
Adj PPG
56.9
Adj Opp PPG
#16
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†’ 1245 (#55) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1231 (#38) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +102 elo More โ†’ 1022 (#133) HCA +102 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.1 More โ†’ +16.0 (#15) HCA +3.1
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.2 More โ†’ +13.4 (#25) HCA +3.2
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.759 (#54) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +24.6 More โ†’ 0.945 (#15) AdjNet +24.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +24.9 More โ†’ 0.947 (#15) AdjNet +24.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 71.8 | AdjD 56.9 More โ†’ 0.795 (#16) AdjO 71.8 | AdjD 56.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.8 | AdjD 60.2 More โ†’ 0.667 (#39) AdjO 67.8 | AdjD 60.2
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†’ 0.800 (#32) 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†’ 0.778 (#37) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 107 | GP 34 More โ†’ 1167 (#66) RD 107 | GP 34

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-09 vs American University Eagles W 72 - 36
2012-11-12 vs Toledo Rockets W 82 - 56
2012-11-15 vs Tennessee State Tigers W 72 - 43
2012-11-18 vs Richmond Spiders W 72 - 57
2012-11-22 @ Duke Blue Devils L 71 - 89
2012-11-23 @ Memphis Tigers W 84 - 75
2012-11-24 @ Stanford Cardinal W 66 - 63
2012-11-27 @ Florida State Seminoles W 77 - 68
2012-12-01 vs North Florida Ospreys W 87 - 59
2012-12-04 vs South Dakota State Jackrabbits W 88 - 64
2012-12-08 @ USC Trojans W 71 - 57
2012-12-11 vs North Dakota State Bison W 70 - 57
2012-12-22 vs Lafayette Leopards W 75 - 50
2012-12-31 vs Michigan State Spartans W 76 - 63
2013-01-06 vs Northwestern Wildcats W 69 - 51
2013-01-09 @ Illinois Fighting Illini W 84 - 67
2013-01-12 @ Indiana Hoosiers L 81 - 88
2013-01-17 vs Michigan Wolverines L 75 - 83
2013-01-23 @ Northwestern Wildcats L 48 - 55
2013-01-26 @ Wisconsin Badgers L 44 - 45
2013-01-29 vs Nebraska Cornhuskers W 84 - 65
2013-02-03 vs Iowa Hawkeyes W 62 - 59
2013-02-06 @ Michigan State Spartans L 50 - 61
2013-02-10 vs Illinois Fighting Illini L 53 - 57
2013-02-14 vs Wisconsin Badgers W 58 - 53
2013-02-17 @ Iowa Hawkeyes L 51 - 72
2013-02-20 @ Ohio State Buckeyes L 45 - 71
2013-02-26 vs Indiana Hoosiers W 77 - 73
2013-03-02 vs Penn State Nittany Lions W 73 - 44
2013-03-06 @ Nebraska Cornhuskers L 51 - 53
2013-03-09 @ Purdue Boilermakers L 73 - 89
2013-03-14 @ Illinois Fighting Illini L 49 - 51
2013-03-22 @ UCLA Bruins W 83 - 63
2013-03-24 @ Florida Gators L 64 - 78

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%
A. Hollins A. Hollins G 34 30.1 14.6 3.7 3.4 1.1 0.3 2.3 8.0 12.7 32 15 2.1 2.8 42.9 42.3 80.6 1.55 78.6 53.8
A. Hollins A. Hollins G 34 29.8 10.7 3.2 2.6 1.7 0.4 1.3 6.6 10.7 43 15 2.9 3.9 39.4 33.9 79.1 2.07 71.4 48.5
Rodney Williams Rodney Williams F 33 28.2 10.1 5.0 1.7 0.8 1.3 1.6 6.7 10.7 67 15 4.5 6.7 44.1 20.0 63.0 4.3 65.1 45.7
Trevor Mbakwe Trevor Mbakwe F 34 24.9 10.0 8.7 1.1 0.7 1.4 2.1 4.6 15.2 48 15 3.2 5.1 56.7 0 61.5 4.18 81.3 56.7
Joe Coleman Joe Coleman G 34 26.3 8.7 3.6 1.5 1.1 0.3 2.0 5.6 7.6 -2 15 -0.1 -0.2 47.4 31.6 64.4 -1.49 68.8 48.9
Maverick Ahanmisi Maverick Ahanmisi G 34 10.5 3.3 0.8 0.9 0.4 0.0 0.8 1.5 3.1 -7 15 -0.5 -2.4 44.2 43.8 85.7 -0.98 92.3 57.7
Julian Welch Julian Welch G 32 12.8 3.0 1.4 1.4 0.6 0.1 0.8 2.2 3.5 4 14 0.3 1.1 38.0 33.3 41.2 0.16 61.8 45.1
Elliott Eliason Elliott Eliason C 33 13.7 2.2 3.5 1.0 0.3 1.1 0.8 1.3 6.1 -26 15 -1.7 -6.8 52.4 0 61.5 -3.5 77.5 52.4
Maurice Walker Maurice Walker F 30 6.6 2.2 2.0 0.4 0.1 0.1 0.7 1.4 2.7 -4 13 -0.3 -2.2 46.3 0 60.7 0.0 62.8 46.3
Oto Osenieks Oto Osenieks F 31 9.1 2.2 1.7 0.7 0.3 0.1 0.6 1.7 2.7 -27 14 -1.9 -10.9 32.1 12.5 90.5 -2.59 55.4 34.0
Wally Ellenson Wally Ellenson G 9 5.3 2.0 0.8 0.2 0.0 0.0 0.3 2.3 0.3 -12 5 -2.4 -27.4 33.3 12.5 33.3 -2.93 40.3 35.7
Andre Ingram Andre Ingram F 33 10.2 1.8 1.8 0.1 0.5 0.4 0.5 0.8 3.2 -11 15 -0.7 -3.3 42.3 0 45.5 -0.11 81.3 42.3
Kendal Shell Kendal Shell G 9 2.2 0.7 0.6 0.4 0.0 0.0 0.2 0.4 1.0 - - - - 75.0 0 0 -0.85 75.0 75.0
Chris Halvorsen Chris Halvorsen F 7 2.3 0.6 0.1 0.3 0.1 0.0 0.0 0.0 1.1 - - - - 0 0 0.0 -0.85 227.3 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