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Minnesota

Also known as: Minnesota Golden Gophers, Minnesota
Program History

2026 Team Stats (33 games)

69.4
PPG
68.5
Opp
+0.9
Margin
45.8%
FG%
34.2%
3P%
69.4%
FT%
31.0
RPG
17.0
APG
10.5
TO
71.1
Pace
71.6
AdjO
62.3
AdjD
#76
Rank

Model Outputs

2025-2026
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 → 932 (#234) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1055 (#124) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +109 elo More → 927 (#629) HCA +109 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.2 More → +9.1 (#80) HCA +2.2
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.5 More → +19.7 (#88) HCA +2.5
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.544 (#149) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -11.4 More → 0.235 (#264) NetEff -11.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +12.5 More → 0.809 (#74) AdjNet +12.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +12.7 More → 0.813 (#74) AdjNet +12.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 71.6 | AdjD 62.3 More → 0.700 (#76) AdjO 71.6 | AdjD 62.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.9 | AdjD 65.8 More → 0.524 (#207) AdjO 66.9 | AdjD 65.8
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 → 0.818 (#111) 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 → 0.765 (#130) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 116 | GP 33 More → 1051 (#190) RD 116 | GP 33

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 vs Gardner-Webb Runnin' Bulldogs W 87 - 60
2025-11-08 vs Alcorn State Braves W 95 - 50
2025-11-12 @ Missouri Tigers L 60 - 83
2025-11-15 vs Green Bay Phoenix W 72 - 65
2025-11-18 vs Chicago State Cougars W 66 - 54
2025-11-22 vs San Francisco Dons L 65 - 77
2025-11-27 vs Stanford Cardinal L 68 - 72
2025-11-28 @ Santa Clara Broncos L 75 - 86
2025-12-03 vs Indiana Hoosiers W 73 - 64
2025-12-10 @ Purdue Boilermakers L 57 - 85
2025-12-14 vs Texas Southern Tigers W 89 - 53
2025-12-21 vs Campbell Fighting Camels W 78 - 50
2025-12-29 vs Fairleigh Dickinson Knights W 60 - 43
2026-01-03 @ Northwestern Wildcats W 84 - 78
2026-01-06 vs Iowa Hawkeyes W 70 - 67
2026-01-09 vs USC Trojans L 69 - 70
2026-01-13 vs Wisconsin Badgers L 75 - 78
2026-01-17 @ Illinois Fighting Illini L 67 - 77
2026-01-20 @ Ohio State Buckeyes L 74 - 82
2026-01-24 vs Nebraska Cornhuskers L 57 - 76
2026-01-28 @ Wisconsin Badgers L 63 - 67
2026-02-01 @ Penn State Nittany Lions L 75 - 77
2026-02-04 vs Michigan State Spartans W 76 - 73
2026-02-08 vs Maryland Terrapins L 62 - 67
2026-02-14 @ Washington Huskies L 57 - 69
2026-02-17 @ Oregon Ducks W 61 - 44
2026-02-21 vs Rutgers Scarlet Knights W 80 - 61
2026-02-24 @ Michigan Wolverines L 67 - 77
2026-02-28 vs UCLA Bruins W 78 - 73
2026-03-04 @ Indiana Hoosiers L 47 - 77
2026-03-07 vs Northwestern Wildcats W 67 - 66
2026-03-11 vs Rutgers Scarlet Knights L 67 - 72
2026-04-01 vs Baylor Bears L 48 - 67

2026 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/G PM/40 FG% 3P% FT% RAPM TS% eFG%
C. Tyson C. Tyson - 32 36.7 19.6 5.4 2.1 0.8 0.2 1.6 11.9 14.6 74 3.4 4.3 50.0 41.3 82.2 0.76 66.0 59.3
J. Crocker-Johnson J. Crocker-Johnson F 24 31.5 13.4 6.8 1.8 0.6 1.0 1.7 11.2 10.8 57 2.5 3.4 41.5 32.3 71.8 0.57 52.9 49.3
L. Reynolds L. Reynolds - 33 33.2 11.6 4.3 4.5 0.8 0.1 2.6 8.2 10.5 29 1.3 1.8 54.0 25.6 59.2 0.41 58.0 56.1
I. Asuma I. Asuma - 33 34.3 10.9 4.0 3.7 1.2 0.5 2.2 9.6 8.6 99 4.3 5.8 39.7 30.4 74.2 1.33 51.9 48.9
B. Durkin B. Durkin F 33 32.8 10.2 3.2 1.8 0.8 0.2 0.8 7.8 7.6 3 0.1 0.2 43.2 39.2 87.5 0.21 61.4 58.8
Chansey Willis Jr. Chansey Willis Jr. - 7 26.6 6.3 3.0 3.3 2.4 0.3 2.1 5.6 7.6 45 6.4 10.0 41.0 18.2 45.5 0.14 45.2 43.6
R. Vaihola R. Vaihola F 5 21.4 5.0 7.6 1.4 1.2 0.6 1.0 2.0 12.8 62 12.4 24.4 70.0 0 50.0 0.62 63.5 70.0
G. Grove G. Grove - 32 20.6 4.0 3.2 1.7 1.0 0.6 0.5 3.0 7.0 45 2.0 5.8 59.4 26.3 25.0 0.6 57.2 62.0
Kai Shinholster Kai Shinholster - 31 13.1 1.8 1.2 1.0 0.5 0.1 0.4 2.2 2.1 7 0.3 1.1 30.9 22.5 75.0 -0.05 39.8 37.5
N. Turner N. Turner - 7 5.9 0.7 1.6 0.3 0.4 0.4 0.3 1.4 1.7 -6 -1.0 -7.3 20.0 0.0 50.0 -0.11 23.0 20.0
Maximus Gizzi Maximus Gizzi G 10 2.8 0.2 0.1 0.0 0.2 0.0 0.1 0.3 0.1 2 0.3 5.7 33.3 0.0 0.0 0.02 29.1 33.3
C. Stephens C. Stephens G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
B.J. Omot B.J. Omot F 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
Max Lorenson Max Lorenson G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
Rj Spencer Rj Spencer - 5 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4 -0.4 -8 -2.0 -82.8 0.0 0.0 0 -0.18 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