Minnesota Golden Gophers
2024 Team Stats (5 games)
56.8
PPG
84.0
Opp
-27.2
Margin
35.0%
FG%
22.6%
3P%
69.8%
FT%
33.0
RPG
9.6
APG
14.8
TO
82.1
Pace
Model Outputs
2023-2024
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 → | 1090 (#118) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1234 (#59) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +45.7 (#25) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.831 (#66) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.947 (#17) | AdjNet +25.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.952 (#17) | AdjNet +25.8 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-11-19 | vs | UConn Huskies | L | 44 - 62 |
| 2023-12-30 | @ | Iowa Hawkeyes | L | 71 - 94 |
| 2024-01-17 | @ | Indiana Hoosiers | L | 62 - 85 |
| 2024-02-08 | vs | Ohio State Buckeyes | L | 47 - 71 |
| 2024-02-28 | vs | Iowa Hawkeyes | L | 60 - 108 |
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Braun
|
G | 3 | 36.7 | 13.7 | 5.7 | 4.0 | 1.3 | 0.0 | 1.7 | 17.3 | 5.7 | - | - | - | 26.9 | 10.5 | 100.0 | 0.16 | 36.1 | 28.8 |
A. Battle
|
G | 5 | 33.2 | 11.6 | 4.2 | 4.0 | 2.0 | 0.0 | 4.2 | 12.8 | 4.8 | -4 | -0.7 | -0.7 | 35.9 | 25.0 | 100.0 | 0.25 | 42.4 | 37.5 |
G. Grocholski
|
G | 5 | 36.2 | 11.4 | 4.8 | 1.2 | 0.2 | 0.0 | 2.4 | 12.8 | 2.4 | -17 | -1.3 | -1.2 | 35.9 | 25.6 | 0 | -0.2 | 44.5 | 44.5 |
J. Sanders
|
G | 5 | 17.8 | 9.6 | 1.4 | 0.8 | 0.0 | 0.0 | 2.0 | 6.2 | 3.6 | -23 | -1.9 | -2.4 | 51.6 | 14.3 | 71.4 | -0.3 | 59.6 | 53.2 |
S. Hart
|
C | 4 | 26.8 | 7.8 | 4.2 | 0.0 | 0.8 | 0.5 | 2.2 | 6.8 | 4.2 | 38 | 5.4 | 8.4 | 48.1 | 0 | 35.7 | 0.55 | 46.7 | 48.1 |
M. Heyer
|
F | 5 | 35.8 | 5.2 | 7.0 | 0.2 | 0.6 | 0.0 | 1.4 | 8.4 | 3.2 | -17 | -1.5 | -1.4 | 23.8 | 20.0 | 50.0 | -0.07 | 30.3 | 29.8 |
N. Holloway
|
F | 5 | 12.8 | 2.8 | 2.6 | 0.8 | 0.2 | 0.2 | 0.4 | 3.6 | 2.6 | -2 | -0.2 | -0.3 | 27.8 | 66.7 | 50.0 | -0.09 | 35.4 | 33.3 |
A. Zie
|
F | 1 | 1.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 5 | 0.8 | 3.5 | 100.0 | 0 | 0 | -0.04 | 100.0 | 100.0 |
M. Czinano
|
G | 4 | 13.2 | 1.2 | 1.0 | 0.0 | 1.0 | 0.0 | 0.8 | 0.8 | 1.8 | 6 | 0.5 | 0.9 | 66.7 | 100.0 | 0.0 | 0.28 | 72.7 | 83.3 |
A. Johnson
|
F | 5 | 8.0 | 0.4 | 1.2 | 0.0 | 0.4 | 0.0 | 0.4 | 0.8 | 0.8 | 42 | 8.4 | 13.2 | 25.0 | 0 | 0 | 0.38 | 25.0 | 25.0 |
A. Madol
|
G | 3 | 2.0 | 0.0 | 0.0 | 0.3 | 0.0 | 0.0 | 0.3 | 0.7 | -0.7 | -23 | -3.8 | -28.6 | 0.0 | 0 | 0 | -0.25 | 0.0 | 0.0 |
B. Senden
|
G | 2 | 1.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | -22 | -2.4 | -10.9 | 0.0 | 0 | 0 | -0.3 | 0.0 | 0.0 |
M. Dalan
|
F | 2 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 13 | 1.9 | 9.0 | 0 | 0 | 0 | 0.1 | 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