Miami
2014 Team Stats (8 games)
51.9
PPG
61.9
Opp
-10.0
Margin
37.4%
FG%
29.5%
3P%
69.1%
FT%
32.0
RPG
8.9
APG
11.0
TO
65.6
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 → | 1456 (#84) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1514 (#42) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +33.7 (#56) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.105 (#100) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.067 (#76) | NetEff -22.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.447 (#70) | AdjNet -1.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.447 (#70) | AdjNet -1.8 |
2014 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2013-11-28 | @ | George Washington Revolutionaries | L | 63 - 71 |
| 2014-01-04 | @ | Syracuse Orange | L | 44 - 49 |
| 2014-01-22 | vs | Duke Blue Devils | L | 46 - 67 |
| 2014-01-25 | vs | Syracuse Orange | L | 52 - 64 |
| 2014-02-05 | vs | Pittsburgh Panthers | L | 55 - 59 |
| 2014-02-26 | @ | Virginia Cavaliers | L | 40 - 65 |
| 2014-03-12 | vs | Virginia Tech Hokies | W | 57 - 53 |
| 2014-03-13 | @ | NC State Wolfpack | L | 58 - 67 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
R. Brown
|
G | 8 | 36.1 | 13.5 | 5.0 | 2.0 | 0.6 | 0.1 | 1.5 | 11.2 | 8.5 | - | - | - | 40.0 | 26.1 | 75.0 | -0.16 | 51.9 | 46.7 |
G. Adams
|
G | 8 | 33.9 | 8.4 | 4.0 | 3.1 | 0.6 | 0.4 | 2.1 | 8.8 | 5.6 | - | - | - | 30.0 | 29.6 | 68.0 | - | 41.4 | 35.7 |
D. Reed
|
G | 8 | 22.0 | 7.2 | 1.4 | 0.6 | 0.8 | 0.1 | 1.2 | 6.9 | 2.0 | - | - | - | 34.5 | 40.0 | 66.7 | - | 48.1 | 45.5 |
E. Swoope
|
F | 8 | 20.0 | 5.4 | 2.9 | 0.2 | 0.4 | 0.4 | 0.4 | 3.5 | 5.4 | - | - | - | 46.4 | 0 | 70.8 | - | 55.8 | 46.4 |
M. Lecomte
|
G | 8 | 26.2 | 5.0 | 1.8 | 1.0 | 0.1 | 0.0 | 1.9 | 4.6 | 1.4 | - | - | - | 35.1 | 29.4 | 75.0 | - | 47.3 | 41.9 |
J. Kelly Sr.
|
F | 7 | 15.4 | 4.7 | 2.6 | 0.4 | 0.0 | 0.3 | 0.6 | 3.7 | 3.7 | - | - | - | 50.0 | 20.0 | 75.0 | - | 55.9 | 51.9 |
T. Jekiri
|
C | 8 | 25.0 | 4.5 | 6.1 | 1.2 | 0.6 | 0.9 | 0.9 | 3.8 | 8.8 | - | - | - | 43.3 | 0 | 52.6 | - | 46.9 | 43.3 |
D. Kirk
|
F | 6 | 26.5 | 4.3 | 3.7 | 0.3 | 0.2 | 1.7 | 1.7 | 6.3 | 2.2 | - | - | - | 31.6 | 16.7 | 50.0 | - | 33.4 | 32.9 |
R. Akpejiori
|
F | 7 | 10.9 | 0.6 | 1.7 | 0.0 | 0.0 | 0.4 | 0.4 | 0.3 | 2.0 | - | - | - | 50.0 | 0 | 100.0 | - | 69.4 | 50.0 |
J. Heller
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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