Michigan Wolverines
2019 Team Stats (10 games)
73.0
PPG
72.4
Opp
+0.6
Margin
45.2%
FG%
34.4%
3P%
67.7%
FT%
38.8
RPG
16.1
APG
16.1
TO
87.3
Pace
Model Outputs
2018-2019
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 → | 1526 (#11) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1484 (#12) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +50.6 (#9) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.992 (#4) | - |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-11-25 | @ | Washington Huskies | W | 80 - 73 |
| 2018-12-02 | @ | Marquette Golden Eagles | L | 74 - 85 |
| 2018-12-31 | vs | Minnesota Golden Gophers | W | 76 - 60 |
| 2019-01-12 | @ | Maryland Terrapins | L | 69 - 83 |
| 2019-01-17 | @ | Iowa Hawkeyes | L | 61 - 75 |
| 2019-01-27 | vs | Michigan State Spartans | L | 73 - 77 |
| 2019-01-31 | vs | Iowa Hawkeyes | - | Preview |
| 2019-02-01 | vs | Iowa Hawkeyes | W | 90 - 81 |
| 2019-03-08 | vs | Wisconsin Badgers | W | 73 - 65 |
| 2019-03-22 | vs | Kansas State Wildcats | W | 84 - 54 |
| 2019-03-24 | @ | Louisville Cardinals | L | 50 - 71 |
2019 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
H. Thome
|
C | 10 | 28.0 | 13.4 | 5.7 | 2.2 | 0.5 | 0.5 | 1.9 | 10.8 | 9.6 | - | - | - | 52.8 | 0 | 60.6 | 1.56 | 54.7 | 52.8 |
N. Hillmon
|
- | 10 | 24.6 | 11.2 | 6.7 | 1.1 | 1.1 | 0.0 | 1.5 | 9.0 | 9.6 | - | - | - | 54.4 | 0 | 66.7 | 1.27 | 56.4 | 54.4 |
A. Dilk
|
G | 10 | 33.7 | 9.6 | 5.0 | 4.4 | 0.9 | 0.2 | 3.7 | 8.7 | 7.7 | - | - | - | 46.0 | 50.0 | 70.6 | 1.41 | 50.8 | 48.3 |
N. Munger
|
G | 10 | 31.3 | 9.2 | 2.6 | 1.7 | 1.2 | 0.0 | 1.8 | 8.6 | 4.3 | - | - | - | 36.0 | 31.6 | 80.0 | 1.14 | 49.7 | 46.5 |
D. Church
|
G | 10 | 28.8 | 8.5 | 3.5 | 2.7 | 1.2 | 0.2 | 2.4 | 8.9 | 4.8 | - | - | - | 37.1 | 37.5 | 72.2 | 0.83 | 43.9 | 40.4 |
K. Robbins
|
F | 10 | 13.9 | 6.6 | 3.9 | 1.1 | 0.6 | 0.4 | 0.8 | 6.0 | 5.8 | - | - | - | 41.7 | 0.0 | 61.5 | 1.39 | 46.2 | 41.7 |
H. Brown
|
F | 10 | 22.0 | 6.4 | 3.2 | 1.2 | 0.7 | 0.6 | 1.2 | 6.1 | 4.8 | - | - | - | 42.6 | 31.8 | 83.3 | 0.46 | 50.3 | 48.4 |
A. Johnson
|
G | 10 | 14.3 | 6.0 | 3.5 | 1.0 | 0.5 | 0.2 | 1.4 | 4.5 | 5.3 | 53 | 2.2 | 10.5 | 51.1 | 42.9 | 80.0 | 0.22 | 60.7 | 57.8 |
P. Smeenge
|
G | 5 | 3.4 | 2.4 | 0.2 | 0.4 | 0.0 | 0.0 | 0.4 | 1.8 | 0.8 | - | - | - | 55.6 | 40.0 | 0 | -1.04 | 66.7 | 66.7 |
E. Kiser
|
F | 6 | 3.5 | 1.2 | 0.8 | 0.2 | 0.0 | 0.5 | 0.2 | 0.3 | 2.2 | - | - | - | 50.0 | 0 | 71.4 | -0.18 | 68.9 | 50.0 |
A. Young
|
G | 7 | 3.6 | 0.3 | 0.4 | 0.4 | 0.1 | 0.3 | 0.6 | 0.6 | 0.4 | - | - | - | 25.0 | 0.0 | 0.0 | 1.12 | 20.5 | 25.0 |
T. Rooks
|
G | 3 | 1.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | -0.3 | - | - | - | 0.0 | 0.0 | 0 | -0.26 | 0.0 | 0.0 |
S. Trammel
|
F | 1 | 2.0 | 0.0 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 2.0 | - | - | - | 0.0 | 0 | 0 | -1.0 | 0.0 | 0.0 |
D. Rauch
|
G | 7 | 2.1 | 0.0 | 0.1 | 0.1 | 0.0 | 0.1 | 0.3 | 0.1 | 0.0 | 33 | 3.0 | 20.4 | 0.0 | 0 | 0 | 0.48 | 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