๐Ÿปโฌ‡๏ธ๐Ÿ€

Minnesota

Also known as: Minnesota Golden Gophers, Minnesota
Program History

2017 Team Stats (11 games)

69.6
PPG
72.8
Opp
-3.2
Margin
42.4%
FG%
33.7%
3P%
74.9%
FT%
35.5
RPG
12.1
APG
10.9
TO
-
Est. poss./game
77.5
Adj PPG
65.6
Adj Opp PPG
#39
Scoring Rank

Model Outputs

2016-2017
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 (#52) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1238 (#36) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More โ†’ 1065 (#77) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More โ†’ +13.0 (#38) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More โ†’ +11.7 (#43) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.714 (#61) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +19.3 More โ†’ 0.903 (#35) AdjNet +19.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +19.5 More โ†’ 0.905 (#35) AdjNet +19.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 77.5 | AdjD 65.6 More โ†’ 0.747 (#39) AdjO 77.5 | AdjD 65.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 75.3 | AdjD 69.3 More โ†’ 0.634 (#56) AdjO 75.3 | AdjD 69.3
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†’ 0.784 (#38) 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†’ 0.765 (#40) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 111 | GP 34 More โ†’ 1232 (#43) RD 111 | GP 34

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-11 vs Louisiana Ragin' Cajuns W 86 - 74
2016-11-14 vs UT Arlington Mavericks W 84 - 67
2016-11-16 vs Mount St. Mary's Mountaineers W 80 - 56
2016-11-18 vs St. John's Red Storm W 92 - 86
2016-11-22 vs Arkansas Razorbacks W 85 - 71
2016-11-25 vs Southern Illinois Salukis W 57 - 45
2016-11-28 @ Florida State Seminoles L 67 - 75
2016-12-03 vs Vanderbilt Commodores W 56 - 52
2016-12-06 vs NJIT Highlanders W 74 - 68
2016-12-09 vs Georgia Southern Eagles W 86 - 49
2016-12-11 vs Northern Illinois Huskies W 77 - 57
2016-12-14 vs Long Island University Sharks W 76 - 66
2016-12-23 vs Arkansas State Red Wolves W 82 - 75
2016-12-27 vs Michigan State Spartans L 74 - 75
2017-01-01 @ Purdue Boilermakers W 91 - 82
2017-01-05 @ Northwestern Wildcats W 70 - 66
2017-01-08 vs Ohio State Buckeyes W 78 - 68
2017-01-11 @ Michigan State Spartans L 47 - 65
2017-01-14 @ Penn State Nittany Lions L 50 - 52
2017-01-21 vs Wisconsin Badgers L 76 - 78
2017-01-25 @ Ohio State Buckeyes L 72 - 78
2017-01-28 vs Maryland Terrapins L 78 - 85
2017-02-04 @ Illinois Fighting Illini W 68 - 59
2017-02-08 vs Iowa Hawkeyes W 101 - 89
2017-02-11 @ Rutgers Scarlet Knights W 72 - 63
2017-02-15 vs Indiana Hoosiers W 75 - 74
2017-02-19 vs Michigan Wolverines W 83 - 78
2017-02-22 @ Maryland Terrapins W 89 - 75
2017-02-25 vs Penn State Nittany Lions W 81 - 71
2017-03-02 vs Nebraska Cornhuskers W 88 - 73
2017-03-05 @ Wisconsin Badgers L 49 - 66
2017-03-10 vs Michigan State Spartans W 63 - 58
2017-03-11 vs Michigan Wolverines L 77 - 84
2017-03-16 vs Middle Tennessee Blue Raiders L 72 - 81

2017 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%
Nate Mason Nate Mason G 24 35.0 14.8 3.8 4.9 1.5 0.1 1.7 8.4 14.9 -17 11 -1.5 -2.0 34.7 28.1 80.0 3.32 77.0 38.6
Amir Coffey Amir Coffey - 23 34.6 12.3 4.0 3.2 1.0 0.1 1.9 5.6 13.0 -27 11 -2.5 -3.5 45.0 39.0 78.5 0.79 89.8 51.2
Dupree McBrayer Dupree McBrayer G 24 29.5 11.5 2.2 2.9 0.9 0.2 1.2 5.2 11.4 -50 11 -4.5 -7.0 48.0 50.0 81.6 -1.56 97.7 55.2
Jordan Murphy Jordan Murphy F 24 27.5 11.3 8.8 0.8 0.8 1.0 1.6 4.8 16.2 -56 11 -5.1 -8.8 47.4 13.3 64.9 -3.12 97.4 48.2
Akeem Springs Akeem Springs G 22 23.5 9.5 3.1 1.2 0.6 0.2 1.0 4.2 9.5 22 9 2.4 5.0 40.2 39.0 69.2 3.29 106.4 52.7
Reggie Lynch Reggie Lynch C 23 23.6 8.3 6.3 0.4 0.4 3.5 1.5 3.4 14.0 -4 11 -0.4 -0.7 57.0 0 71.4 1.5 107.7 57.0
Eric Curry Eric Curry F 24 20.3 5.7 5.4 1.1 0.2 0.8 1.2 3.2 8.8 8 11 0.7 1.7 35.1 23.5 70.6 1.93 81.1 37.7
Ahmad Gilbert Ahmad Gilbert G 10 4.6 1.5 1.2 0.1 0.2 0.1 0.3 0.5 2.3 - - - - 40.0 40.0 0 - 150.0 60.0
Bakary Konate Bakary Konate C 22 10.5 1.4 3.0 0.1 0.2 1.0 0.6 0.6 4.5 -14 10 -1.4 -5.8 38.5 100.0 75.0 -0.82 101.6 42.3
Brady Rudrud Brady Rudrud G 3 2.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 - - - - 0 0 0 - 0 0
Gaston Diedhiou Gaston Diedhiou F 3 2.3 0.7 0.7 0.0 0.0 0.0 0.0 0.0 1.3 - - - - 0 0 0 - 0 0
Michael Hurt Michael Hurt F 20 5.0 0.6 0.3 0.1 0.1 0.1 0.2 0.3 0.6 -13 8 -1.6 -14.3 28.6 0.0 0 -2.26 78.6 28.6
Darin Haugh Darin Haugh G 2 1.0 0.0 0.5 1.0 0.0 0.0 0.0 0.0 1.5 - - - - 0 0 0 - 0 0
Stephon Sharp Stephon Sharp G 5 1.8 0.0 0.0 0.2 0.0 0.0 0.2 0.0 0.0 - - - - 0 0 0 -2.21 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