Michigan
2014 Team Stats (26 games)
74.2
PPG
67.0
Opp
+7.2
Margin
47.5%
FG%
41.5%
3P%
77.1%
FT%
31.3
RPG
13.8
APG
9.3
TO
-
Est. poss./game
76.6
Adj PPG
60.5
Adj Opp PPG
#13
Scoring Rank
Model Outputs
2013-2014
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 | 1279 (#18) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1321 (#13) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1157 (#16) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +17.2 (#12) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +15.6 (#14) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.813 (#28) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.954 (#11) | AdjNet +26.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.955 (#11) | AdjNet +26.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.812 (#13) | AdjO 76.6 | AdjD 60.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.713 (#18) | AdjO 73.6 | AdjD 63.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.871 (#10) | 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 | 0.858 (#11) | 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 | 1350 (#9) | RD 89 | GP 37 |
2014 Schedule & Results
2014 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Nik Stauskas
|
G | 32 | 35.5 | 17.4 | 2.8 | 3.2 | 0.6 | 0.3 | 1.9 | 9.8 | 12.6 | 249 | 32 | 7.8 | 9.2 | 47.1 | 45.9 | 83.2 | 2.66 | 73.4 | 59.6 |
Caris LeVert
|
C | 33 | 34.2 | 13.6 | 4.6 | 2.9 | 1.2 | 0.2 | 1.7 | 9.2 | 11.6 | 296 | 33 | 9.0 | 11.0 | 43.9 | 43.8 | 79.2 | 4.75 | 65.0 | 52.6 |
G. Robinson III
|
F | 33 | 32.0 | 12.7 | 4.4 | 1.2 | 1.0 | 0.3 | 1.3 | 8.8 | 9.5 | 251 | 33 | 7.6 | 9.6 | 46.6 | 30.1 | 78.5 | 0.53 | 64.3 | 50.9 |
Mitch McGary
|
F | 7 | 25.0 | 9.7 | 8.9 | 1.7 | 2.1 | 0.9 | 1.6 | 6.7 | 15.0 | 38 | 7 | 5.4 | 10.0 | 55.3 | 0.0 | 55.6 | 1.17 | 61.9 | 55.3 |
D. Walton Jr.
|
G | 33 | 27.2 | 7.9 | 3.2 | 3.0 | 0.6 | 0.0 | 1.5 | 5.2 | 8.1 | 208 | 33 | 6.3 | 9.9 | 42.8 | 43.8 | 80.9 | 0.72 | 64.6 | 54.0 |
Zak Irvin
|
G | 33 | 15.8 | 7.0 | 1.3 | 0.4 | 0.2 | 0.1 | 0.4 | 4.6 | 4.0 | 48 | 33 | 1.5 | 4.4 | 47.0 | 45.1 | 73.3 | -1.94 | 73.0 | 63.9 |
Jordan Morgan
|
F | 33 | 20.5 | 6.4 | 5.2 | 0.6 | 0.4 | 0.5 | 0.8 | 3.3 | 8.8 | 160 | 33 | 4.8 | 10.2 | 70.0 | 0 | 58.8 | 2.25 | 79.7 | 70.0 |
Jon Horford
|
C | 33 | 13.7 | 3.6 | 4.1 | 0.5 | 0.2 | 0.6 | 0.5 | 2.3 | 6.2 | 123 | 33 | 3.7 | 11.6 | 59.2 | 0.0 | 62.5 | 1.52 | 71.7 | 59.2 |
Spike Albrecht
|
G | 33 | 14.2 | 3.0 | 1.1 | 1.9 | 0.5 | 0.0 | 0.4 | 2.1 | 4.1 | 86 | 33 | 2.6 | 7.9 | 37.7 | 33.3 | 81.0 | 1.73 | 63.9 | 47.8 |
Cole McConnell
|
G | 4 | 2.5 | 1.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8 | 0.5 | - | - | - | - | 33.3 | 33.3 | 50.0 | -0.17 | 51.5 | 50.0 |
Max Bielfeldt
|
F | 17 | 4.4 | 0.7 | 1.0 | 0.0 | 0.1 | 0.1 | 0.1 | 0.8 | 1.0 | 2 | 17 | 0.1 | 1.1 | 35.7 | 28.6 | 0 | -1.44 | 42.9 | 42.9 |
Sean Lonergan
|
F | 10 | 2.1 | 0.6 | 0.4 | 0.0 | 0.0 | 0.1 | 0.2 | 0.4 | 0.5 | 6 | 11 | 0.5 | 11.9 | 25.0 | 0.0 | 100.0 | -0.68 | 61.5 | 25.0 |
Andrew Dakich
|
G | 11 | 2.0 | 0.3 | 0.4 | 0.5 | 0.0 | 0.0 | 0.2 | 0.3 | 0.6 | 6 | 12 | 0.5 | 11.1 | 33.3 | 100.0 | 0 | -0.7 | 50.0 | 50.0 |
Brad Anlauf
|
F | 7 | 2.1 | 0.3 | 0.3 | 0.1 | 0.0 | 0.0 | 0.1 | 0.3 | 0.3 | 1 | 8 | 0.1 | 2.6 | 50.0 | 0 | 0 | -1.21 | 50.0 | 50.0 |
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