Minnesota Golden Gophers
2013 Team Stats (5 games)
66.2
PPG
68.2
Opp
-4.3
Margin
43.5%
FG%
40.0%
3P%
77.2%
FT%
28.0
RPG
12.6
APG
16.0
TO
79.3
Pace
Model Outputs
2012-2013
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 → | 1208 (#61) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1207 (#63) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +34.0 (#47) | HCA +3.1 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.868 (#36) | - |
2013 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2012-11-22 | vs | Richmond Spiders | L | 46 - 58 |
| 2012-12-02 | @ | Kansas Jayhawks | L | 53 - 65 |
| 2013-01-10 | vs | Ohio State Buckeyes | W | 83 - 74 |
| 2013-01-17 | @ | Purdue Boilermakers | L | 67 - 75 |
| 2013-01-24 | @ | Penn State Lady Lions | L | 59 - 64 |
| 2013-02-24 | vs | Purdue Boilermakers | L | 63 - 75 |
| 2013-02-28 | vs | Penn State Lady Lions | W | 89 - 81 |
| 2013-03-22 | vs | Ball State Cardinals | L | 51 - 54 |
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/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
R. Banham
|
G | 5 | 0.0 | 19.8 | 3.6 | 4.0 | 1.2 | 0.6 | 3.4 | 17.6 | 8.2 | - | - | - | 40.9 | 22.7 | 91.7 | - | 50.2 | 43.8 |
R. Williams
|
- | 1 | 33.0 | 16.0 | 7.0 | 1.0 | 1.0 | 2.0 | 2.0 | 11.0 | 14.0 | - | - | - | 54.5 | 33.3 | 50.0 | - | 58.7 | 59.1 |
M. Riche
|
F | 5 | 0.0 | 12.6 | 6.4 | 1.0 | 0.6 | 0.8 | 1.8 | 10.6 | 9.0 | - | - | - | 49.1 | 0 | 64.7 | - | 52.1 | 49.1 |
A. Hollins
|
- | 1 | 25.0 | 12.0 | 3.0 | 4.0 | 0.0 | 1.0 | 1.0 | 13.0 | 6.0 | - | - | - | 30.8 | 28.6 | 100.0 | - | 43.2 | 38.5 |
T. Mbakwe
|
- | 1 | 19.0 | 11.0 | 3.0 | 0.0 | 0.0 | 2.0 | 1.0 | 6.0 | 9.0 | - | - | - | 50.0 | 0 | 83.3 | - | 63.7 | 50.0 |
M. Ahanmisi
|
- | 1 | 15.0 | 10.0 | 0.0 | 1.0 | 2.0 | 0.0 | 1.0 | 2.0 | 10.0 | - | - | - | 100.0 | 0 | 100.0 | - | 107.8 | 100.0 |
S. Noga
|
G | 5 | 0.0 | 8.2 | 2.8 | 1.2 | 0.8 | 0.0 | 0.8 | 4.6 | 7.6 | - | - | - | 56.5 | 70.6 | 75.0 | - | 82.8 | 82.6 |
A. Hollins
|
- | 1 | 32.0 | 7.0 | 6.0 | 2.0 | 1.0 | 0.0 | 4.0 | 10.0 | 2.0 | - | - | - | 30.0 | 25.0 | 0 | - | 35.0 | 35.0 |
J. Coleman
|
- | 1 | 26.0 | 7.0 | 2.0 | 3.0 | 2.0 | 0.0 | 4.0 | 7.0 | 3.0 | - | - | - | 42.9 | 0 | 50.0 | - | 44.4 | 42.9 |
S. Mullaney
|
G | 5 | 0.0 | 6.8 | 2.2 | 3.4 | 1.0 | 0.0 | 2.8 | 5.8 | 4.8 | - | - | - | 34.5 | 33.3 | 100.0 | - | 49.6 | 37.9 |
K. Kellogg
|
NA | 5 | 0.0 | 6.6 | 4.8 | 1.6 | 0.2 | 0.0 | 2.6 | 5.4 | 5.2 | - | - | - | 51.9 | 25.0 | 66.7 | - | 55.7 | 53.7 |
M. Walker
|
- | 1 | 8.0 | 5.0 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 6.0 | - | - | - | 50.0 | 0 | 100.0 | - | 56.3 | 50.0 |
A. Ingram
|
- | 1 | 8.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
E. Eliason
|
- | 1 | 14.0 | 1.0 | 4.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | 4.0 | - | - | - | 0.0 | 0 | 50.0 | - | 17.4 | 0.0 |
J. Welch
|
- | 1 | 14.0 | 0.0 | 2.0 | 4.0 | 1.0 | 0.0 | 1.0 | 2.0 | 4.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
O. Osenieks
|
- | 1 | 6.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | -2.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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