Michigan State
2014 Team Stats (29 games)
73.5
PPG
65.7
Opp
+8.6
Margin
47.6%
FG%
39.9%
3P%
71.4%
FT%
35.1
RPG
16.2
APG
11.8
TO
74.8
Pace
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 → | 1855 (#7) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1606 (#12) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +41.7 (#7) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.755 (#12) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.699 (#17) | NetEff +7.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.895 (#9) | AdjNet +18.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.897 (#10) | AdjNet +18.7 |
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/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
G. Harris
|
G | 28 | 32.3 | 16.6 | 3.9 | 2.8 | 1.8 | 0.5 | 1.7 | 12.1 | 11.8 | -15 | -1.4 | -3.1 | 43.7 | 37.6 | 80.4 | 0.24 | 60.1 | 52.8 |
A. Payne
|
C | 24 | 27.8 | 16.4 | 7.3 | 1.5 | 0.4 | 0.8 | 2.0 | 11.0 | 13.2 | - | - | - | 49.4 | 42.5 | 80.0 | - | 63.1 | 56.4 |
B. Dawson
|
F | 21 | 28.4 | 12.0 | 8.4 | 1.5 | 1.2 | 1.0 | 1.4 | 8.0 | 14.9 | - | - | - | 62.3 | 0.0 | 62.7 | - | 66.5 | 62.3 |
K. Appling
|
G | 27 | 31.2 | 9.0 | 3.0 | 4.3 | 1.1 | 0.4 | 2.3 | 7.4 | 8.1 | - | - | - | 43.2 | 28.1 | 54.7 | - | 52.2 | 47.7 |
D. Valentine
|
G | 30 | 29.9 | 8.2 | 6.0 | 3.8 | 0.9 | 0.3 | 1.8 | 6.6 | 10.9 | - | - | - | 41.2 | 38.7 | 67.3 | - | 55.7 | 50.3 |
T. Trice II
|
G | 29 | 22.9 | 8.0 | 1.8 | 2.5 | 0.7 | 0.1 | 1.0 | 5.7 | 6.3 | 2 | 0.2 | 0.2 | 44.0 | 46.5 | 84.8 | 0.73 | 64.0 | 57.8 |
K. Kaminski
|
F | 27 | 12.2 | 4.7 | 1.5 | 0.3 | 0.3 | 0.2 | 0.2 | 3.4 | 3.5 | - | - | - | 50.5 | 47.1 | 66.7 | - | 68.3 | 68.1 |
M. Costello
|
F | 28 | 14.4 | 4.2 | 3.0 | 0.8 | 0.3 | 1.2 | 0.8 | 2.4 | 6.4 | - | - | - | 62.7 | 0 | 69.2 | - | 69.5 | 62.7 |
A. Ellis III
|
G | 29 | 8.1 | 2.0 | 0.6 | 0.3 | 0.4 | 0.1 | 0.7 | 1.3 | 1.4 | 62 | 3.4 | 4.9 | 51.4 | 45.5 | 72.7 | 1.67 | 68.1 | 58.1 |
G. Schilling
|
F | 29 | 6.2 | 1.4 | 1.7 | 0.3 | 0.0 | 0.2 | 0.5 | 0.9 | 2.2 | - | - | - | 50.0 | 0 | 66.7 | - | 61.3 | 50.0 |
A. Gauna
|
F | 21 | 6.1 | 1.3 | 1.0 | 0.1 | 0.0 | 0.1 | 0.2 | 1.0 | 1.3 | - | - | - | 45.5 | 0.0 | 37.5 | - | 52.9 | 45.5 |
K. Wetzel
|
G | 10 | 1.7 | 0.9 | 0.2 | 0.1 | 0.0 | 0.0 | 0.0 | 0.7 | 0.5 | - | - | - | 57.1 | 50.0 | 0 | - | 64.3 | 64.3 |
R. Byrd
|
G | 22 | 6.4 | 0.7 | 0.9 | 0.1 | 0.1 | 0.1 | 0.2 | 0.7 | 1.0 | - | - | - | 33.3 | 30.8 | 66.7 | - | 49.0 | 46.7 |
T. Bohnhoff
|
F | 6 | 1.5 | 0.3 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.5 | - | - | - | 0.0 | 0 | 0 | - | 100.0 | 0.0 |
D. Chapman
|
G | 12 | 1.4 | 0.2 | 0.0 | 0.1 | 0.0 | 0.0 | 0.1 | 0.3 | -0.1 | - | - | - | 25.0 | 33.3 | 0 | - | 37.5 | 37.5 |
C. Wollenman
|
F | 10 | 1.8 | 0.2 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.3 | - | - | - | 0.0 | 0 | 100.0 | - | 53.2 | 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