Michigan
2017 Team Stats (12 games)
73.1
PPG
68.8
Opp
+4.3
Margin
46.9%
FG%
37.5%
3P%
81.6%
FT%
28.8
RPG
13.3
APG
9.2
TO
-
Est. poss./game
78.4
Adj PPG
61.7
Adj Opp PPG
#20
Scoring Rank
Model Outputs
2016-2017
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 โ | 1442 (#10) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1279 (#25) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1186 (#9) | HCA +89 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +18.0 (#19) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +19.9 (#11) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.803 (#29) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.949 (#20) | AdjNet +25.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.951 (#20) | AdjNet +25.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.821 (#20) | AdjO 78.4 | AdjD 61.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.774 (#9) | AdjO 78.7 | AdjD 65.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.884 (#13) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More โ | 0.878 (#10) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 1301 (#17) | RD 84 | GP 39 |
2017 Schedule & Results
2017 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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Walton Jr.
|
G | 29 | 35.3 | 15.4 | 4.9 | 5.1 | 1.0 | 0.0 | 1.7 | 5.4 | 19.2 | 55 | 36 | 1.5 | 5.2 | 39.2 | 37.9 | 91.4 | 0.3 | 118.1 | 50.6 |
Zak Irvin
|
G | 29 | 35.7 | 13.0 | 4.7 | 3.0 | 0.8 | 0.0 | 1.8 | 5.7 | 14.1 | 41 | 36 | 1.1 | 3.7 | 49.4 | 43.3 | 50.0 | -1.73 | 108.3 | 57.3 |
Moritz Wagner
|
- | 12 | 22.4 | 12.1 | 3.2 | 0.5 | 1.2 | 0.2 | 1.4 | 8.2 | 7.8 | - | - | - | - | 55.1 | 39.0 | 75.0 | - | 65.7 | 63.3 |
Moritz Wagner
|
- | 25 | 23.8 | 11.3 | 4.0 | 0.5 | 0.9 | 0.2 | 1.4 | 0.9 | 14.7 | - | - | - | - | 47.8 | 25.0 | 84.6 | - | 492.7 | 52.2 |
D.J. Wilson
|
- | 29 | 31.0 | 11.2 | 5.7 | 1.3 | 0.6 | 1.7 | 1.0 | 4.1 | 15.4 | 63 | 36 | 1.8 | 7.2 | 47.5 | 34.0 | 89.5 | 3.07 | 128.6 | 54.2 |
M. Abdur-Rahkman
|
G | 29 | 31.2 | 9.0 | 2.8 | 2.0 | 0.8 | 0.1 | 1.1 | 3.5 | 10.1 | 92 | 35 | 2.6 | 9.7 | 45.1 | 30.2 | 84.6 | 6.95 | 115.0 | 51.5 |
Duncan Robinson
|
- | 29 | 20.2 | 7.8 | 1.9 | 0.8 | 0.4 | 0.2 | 0.4 | 2.4 | 8.2 | -4 | 36 | -0.1 | -0.5 | 44.3 | 42.9 | 63.6 | -0.92 | 151.0 | 59.3 |
Mark Donnal
|
F | 29 | 11.9 | 3.8 | 1.8 | 0.1 | 0.1 | 0.3 | 0.3 | 0.8 | 5.0 | 64 | 36 | 1.8 | 6.5 | 58.3 | 66.7 | 84.6 | 1.18 | 183.4 | 66.7 |
Ibi Watson
|
G | 12 | 4.9 | 1.4 | 0.2 | 0.0 | 0.2 | 0.0 | 0.2 | 0.3 | 1.2 | 21 | 16 | 1.3 | 17.5 | 25.0 | 0.0 | 50.0 | 1.51 | 174.2 | 25.0 |
Zavier Simpson
|
- | 29 | 8.3 | 1.1 | 0.6 | 0.9 | 0.5 | 0.1 | 0.5 | 0.3 | 2.3 | 13 | 33 | 0.4 | 3.3 | 33.3 | 25.0 | 63.6 | -0.69 | 115.6 | 38.9 |
Sean Lonergan
|
F | 12 | 1.9 | 0.6 | 0.2 | 0.1 | 0.0 | 0.0 | 0.1 | 0.1 | 0.8 | 2 | 13 | 0.2 | 3.0 | 0.0 | 0 | 0 | -2.03 | 350.0 | 0.0 |
Fred Wright-Jones
|
G | 7 | 1.3 | 0.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.0 | 0.3 | -5 | 8 | -0.6 | -16.7 | 0 | 0 | 0 | -2.46 | 0 | 0 |
Jon Teske
|
C | 15 | 2.9 | 0.2 | 0.7 | 0.1 | 0.1 | 0.3 | 0.1 | 0.0 | 1.5 | -6 | 17 | -0.4 | -5.0 | 0 | 0 | 0 | -1.07 | 0 | 0 |
Brent Hibbitts
|
- | 7 | 2.0 | 0.0 | 0.4 | 0.1 | 0.0 | 0.0 | 0.1 | 0.0 | 0.4 | - | - | - | - | 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