Michigan
2023 Team Stats (25 games)
72.6
PPG
68.6
Opp
+3.4
Margin
45.1%
FG%
34.1%
3P%
71.8%
FT%
37.6
RPG
12.1
APG
11.0
TO
76.9
Pace
Model Outputs
2022-2023
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 → | 1502 (#17) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1355 (#49) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +39.8 (#24) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.569 (#42) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.646 (#80) | NetEff +5.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.761 (#25) | AdjNet +10.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.763 (#25) | AdjNet +10.1 |
2023 Schedule & Results
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Hunter Dickinson
|
C | 25 | 33.8 | 20.1 | 9.7 | 1.5 | 0.5 | 2.0 | 2.1 | 13.3 | 18.3 | - | - | - | 59.0 | 45.5 | 72.0 | - | 64.9 | 62.0 |
K. Bufkin
|
- | 24 | 35.4 | 13.8 | 4.9 | 3.0 | 1.4 | 0.8 | 2.2 | 11.2 | 10.4 | - | - | - | 47.0 | 31.8 | 84.2 | - | 55.9 | 52.2 |
Je. Howard
|
- | 20 | 32.8 | 13.8 | 2.9 | 2.2 | 0.3 | 0.7 | 1.4 | 11.6 | 7.0 | - | - | - | 39.8 | 37.9 | 85.0 | - | 55.5 | 52.4 |
D. McDaniel
|
- | 25 | 32.5 | 8.3 | 3.0 | 3.5 | 1.1 | 0.0 | 1.7 | 8.1 | 6.2 | -103 | -7.4 | -9.9 | 36.1 | 34.2 | 75.5 | -0.11 | 46.5 | 42.3 |
J. Llewellyn
|
- | 4 | 29.5 | 7.5 | 2.8 | 2.5 | 0.8 | 0.2 | 1.0 | 6.8 | 6.0 | - | - | - | 29.6 | 26.7 | 62.5 | - | 44.1 | 37.0 |
T. Williams II
|
- | 24 | 26.0 | 6.1 | 5.8 | 0.9 | 0.1 | 0.2 | 1.0 | 5.0 | 7.1 | 2 | 0.2 | 0.2 | 40.8 | 24.5 | 76.6 | 0.73 | 51.9 | 45.8 |
J. Baker
|
- | 25 | 16.8 | 5.8 | 2.3 | 0.4 | 0.4 | 0.2 | 0.6 | 5.1 | 3.4 | -44 | -4.0 | -5.7 | 38.6 | 37.2 | 69.6 | 0.64 | 53.2 | 51.2 |
T. Reed Jr.
|
- | 25 | 12.8 | 3.2 | 3.6 | 0.1 | 0.5 | 0.9 | 1.0 | 2.4 | 4.8 | 58 | 5.8 | 7.5 | 50.0 | 0 | 45.5 | 1.71 | 50.4 | 50.0 |
W. Tschetter
|
F | 20 | 11.7 | 2.2 | 1.6 | 0.5 | 0.0 | 0.1 | 0.8 | 1.7 | 2.0 | -29 | -3.2 | -7.4 | 50.0 | 21.4 | 57.1 | 0.19 | 56.0 | 54.4 |
Gregg Glenn Iii
|
F | 1 | 1.0 | 2.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
J. Howard
|
G | 21 | 7.7 | 1.1 | 0.9 | 0.2 | 0.1 | 0.1 | 0.2 | 1.1 | 1.0 | - | - | - | 29.2 | 33.3 | 45.5 | - | 39.9 | 37.5 |
I. Barnes
|
G | 9 | 6.8 | 0.8 | 1.3 | 0.0 | 0.0 | 0.1 | 0.2 | 1.1 | 0.9 | 37 | 2.5 | 7.4 | 30.0 | 0.0 | 100.0 | 1.14 | 33.5 | 30.0 |
Youssef Khayat
|
F | 4 | 7.5 | 0.8 | 0.8 | 0.5 | 0.0 | 0.0 | 0.0 | 1.2 | 0.8 | - | - | - | 20.0 | 25.0 | 0 | - | 30.0 | 30.0 |
C. Smith
|
- | 4 | 1.8 | 0.0 | 0.2 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | 9 | 0.8 | 0.9 | 0.0 | 0 | 0 | 0.89 | 0.0 | 0.0 |
F. Collins
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | 0.47 | - | - |
Ian Burns
|
G | 2 | 2.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | -0.5 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
J. Selvala
|
- | 3 | 1.7 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.7 | 0.3 | -0.7 | - | - | - | 0.0 | 0 | 0 | - | 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