Michigan
2019 Team Stats (27 games)
69.2
PPG
58.9
Opp
+9.7
Margin
44.3%
FG%
34.5%
3P%
72.9%
FT%
34.2
RPG
14.1
APG
8.9
TO
72.4
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 → | 1652 (#17) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1529 (#19) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +39.5 (#17) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.829 (#9) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.800 (#8) | NetEff +12.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.931 (#7) | AdjNet +22.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.932 (#7) | AdjNet +22.6 |
2019 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
I. Brazdeikis
|
- | 31 | 29.8 | 14.6 | 5.5 | 0.8 | 0.7 | 0.5 | 1.2 | 11.3 | 9.6 | - | - | - | 45.6 | 41.3 | 75.5 | - | 57.0 | 53.0 |
J. Poole
|
- | 31 | 33.6 | 12.7 | 2.7 | 2.1 | 1.2 | 0.2 | 1.5 | 10.2 | 7.2 | - | - | - | 43.2 | 35.3 | 85.9 | - | 56.8 | 52.7 |
C. Matthews
|
G | 28 | 31.4 | 11.0 | 5.0 | 1.6 | 1.1 | 0.4 | 1.7 | 10.0 | 7.4 | - | - | - | 40.4 | 28.8 | 67.0 | - | 48.1 | 44.1 |
J. Teske
|
C | 31 | 28.4 | 10.1 | 7.3 | 0.8 | 0.7 | 1.8 | 0.5 | 7.4 | 12.8 | - | - | - | 52.8 | 31.9 | 63.5 | - | 59.6 | 57.9 |
Zavier Simpson
|
- | 31 | 34.4 | 9.3 | 5.0 | 6.6 | 1.4 | 0.0 | 2.0 | 8.4 | 11.9 | - | - | - | 43.6 | 30.3 | 72.3 | - | 51.3 | 48.8 |
I. Livers
|
- | 29 | 23.0 | 7.9 | 3.8 | 0.7 | 0.7 | 0.5 | 0.6 | 5.8 | 7.1 | - | - | - | 47.9 | 40.0 | 80.0 | - | 62.5 | 59.9 |
E. Brooks
|
G | 31 | 12.1 | 2.2 | 1.2 | 0.9 | 0.3 | 0.1 | 0.4 | 2.4 | 1.9 | - | - | - | 36.0 | 27.8 | 100.0 | - | 43.9 | 42.7 |
Colin Castleton
|
- | 16 | 3.7 | 1.2 | 0.9 | 0.1 | 0.1 | 0.2 | 0.2 | 1.0 | 1.3 | - | - | - | 50.0 | 0.0 | 42.9 | - | 49.8 | 50.0 |
A. Davis
|
F | 20 | 3.8 | 1.0 | 0.7 | 0.1 | 0.0 | 0.0 | 0.2 | 0.7 | 0.9 | 83 | 9.2 | 14.3 | 71.4 | 0 | 0 | 1.21 | 71.4 | 71.4 |
C.J. Baird
|
F | 10 | 1.6 | 0.9 | 0.2 | 0.0 | 0.0 | 0.0 | 0.1 | 0.9 | 0.1 | - | - | - | 33.3 | 37.5 | 0 | - | 50.0 | 50.0 |
B. Johns Jr.
|
- | 24 | 4.0 | 0.7 | 1.0 | 0.0 | 0.0 | 0.1 | 0.2 | 0.6 | 1.0 | 103 | 7.9 | 10.6 | 46.7 | 0.0 | 75.0 | 1.72 | 50.7 | 46.7 |
D. DeJulius
|
- | 21 | 3.9 | 0.5 | 0.5 | 0.2 | 0.2 | 0.0 | 0.1 | 1.2 | 0.0 | - | - | - | 19.2 | 0.0 | 0.0 | - | 18.0 | 19.2 |
A. Nuñez
|
G | 16 | 1.6 | 0.2 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6 | -0.2 | - | - | - | 11.1 | 11.1 | 0 | - | 16.7 | 16.7 |
L. Wilson
|
G | 9 | 1.3 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | 0.3 | -0.3 | 21 | 1.6 | 2.2 | 0.0 | 0.0 | 0 | 1.01 | 0.0 | 0.0 |
R. Ozuna-Harrison
|
G | 2 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | -1.0 | - | - | - | 0.0 | 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