Michigan Wolverines
2022 Team Stats (27 games)
72.9
PPG
60.6
Opp
+12.3
Margin
46.0%
FG%
30.6%
3P%
74.5%
FT%
40.3
RPG
14.6
APG
15.5
TO
82.5
Pace
Model Outputs
2021-2022
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 → | 1342 (#11) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1416 (#8) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +50.7 (#10) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.936 (#17) | - |
2022 Schedule & Results
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
N. Hillmon
|
- | 26 | 33.0 | 21.5 | 9.5 | 2.2 | 1.1 | 0.5 | 3.2 | 13.7 | 17.8 | - | - | - | 60.0 | 0.0 | 73.7 | 0.57 | 64.3 | 60.0 |
Leigha Brown
|
- | 20 | 25.8 | 13.3 | 3.1 | 3.6 | 1.6 | 0.5 | 2.4 | 10.2 | 9.6 | - | - | - | 45.1 | 33.3 | 80.5 | 1.08 | 55.6 | 49.3 |
E. Kiser
|
F | 27 | 30.8 | 9.9 | 8.4 | 1.9 | 0.7 | 0.9 | 2.0 | 8.2 | 11.6 | - | - | - | 46.8 | 27.3 | 71.8 | 1.38 | 52.9 | 48.9 |
M. Nolan
|
G | 27 | 29.4 | 9.3 | 4.2 | 2.0 | 1.0 | 0.1 | 1.0 | 7.1 | 8.4 | 32 | 1.1 | 9.0 | 44.0 | 41.2 | 83.3 | 0.57 | 61.7 | 59.8 |
L. Phelia
|
G | 24 | 23.1 | 8.9 | 2.6 | 1.0 | 0.8 | 0.1 | 1.7 | 8.3 | 3.4 | 135 | 5.9 | 33.2 | 37.5 | 25.5 | 76.5 | 1.39 | 46.5 | 40.5 |
D. Rauch
|
G | 27 | 31.7 | 5.3 | 4.0 | 2.7 | 1.0 | 0.1 | 1.9 | 5.6 | 5.6 | -24 | -1.2 | -8.3 | 34.2 | 25.6 | 75.0 | 0.8 | 43.7 | 40.8 |
C. Williams
|
F | 25 | 6.4 | 2.9 | 1.2 | 0.1 | 0.2 | 0.1 | 0.7 | 1.8 | 1.9 | -47 | -2.5 | -14.2 | 69.6 | 0 | 72.7 | 0.76 | 70.8 | 69.6 |
A. Dilk
|
G | 19 | 15.2 | 2.5 | 1.8 | 1.6 | 0.6 | 0.3 | 1.5 | 2.7 | 2.6 | - | - | - | 29.4 | 16.7 | 71.4 | 1.59 | 39.0 | 31.4 |
I. Varejão
|
C | 21 | 5.0 | 2.2 | 0.8 | 0.2 | 0.1 | 0.2 | 0.4 | 2.0 | 1.1 | 15 | 1.5 | 10.4 | 46.5 | 0.0 | 53.8 | 0.33 | 48.2 | 46.5 |
E. Stuck
|
F | 22 | 7.4 | 1.7 | 2.0 | 0.5 | 0.1 | 0.0 | 0.8 | 1.0 | 2.5 | 66 | 3.7 | 19.9 | 59.1 | 0.0 | 84.6 | 1.11 | 66.7 | 59.1 |
M. Sidor
|
G | 17 | 7.6 | 1.5 | 0.7 | 0.6 | 0.1 | 0.1 | 0.4 | 2.1 | 0.6 | 27 | 2.7 | 16.0 | 31.4 | 15.0 | 0 | 0.64 | 35.7 | 35.7 |
J. Hobbs
|
G | 17 | 5.3 | 1.2 | 0.3 | 0.1 | 0.2 | 0.0 | 0.1 | 1.4 | 0.2 | -17 | -1.9 | -12.5 | 29.2 | 15.4 | 80.0 | 0.35 | 38.2 | 33.3 |
W. Sollom
|
F | 10 | 3.4 | 1.0 | 0.9 | 0.2 | 0.1 | 0.1 | 0.0 | 0.9 | 1.4 | 35 | 17.5 | 140.0 | 44.4 | 0 | 33.3 | -0.51 | 43.0 | 44.4 |
A. Wiggins
|
G | 13 | 7.3 | 0.7 | 0.6 | 0.4 | 0.6 | 0.1 | 1.2 | 1.6 | -0.5 | - | - | - | 14.3 | 0.0 | 60.0 | 0.26 | 19.4 | 14.3 |
T. Gibson
|
C | 3 | 1.0 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -0.3 | - | - | - | 33.3 | 0.0 | 0 | 2.47 | 33.3 | 33.3 |
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