Duke
2014 Team Stats (30 games)
77.0
PPG
66.6
Opp
+11.5
Margin
44.7%
FG%
39.0%
3P%
73.8%
FT%
35.1
RPG
14.3
APG
9.4
TO
76.9
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 → | 1833 (#8) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1694 (#3) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +43.8 (#2) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.821 (#8) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.815 (#8) | NetEff +13.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.945 (#4) | AdjNet +24.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.946 (#4) | AdjNet +24.8 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Parker
|
F | 31 | 30.6 | 18.8 | 8.9 | 1.1 | 1.0 | 1.1 | 2.1 | 13.5 | 15.2 | 23 | 2.1 | 4.3 | 46.8 | 33.3 | 75.1 | 0.71 | 58.2 | 50.2 |
R. Hood
|
F | 31 | 32.5 | 15.5 | 3.8 | 2.1 | 0.7 | 0.3 | 1.4 | 11.7 | 9.4 | - | - | - | 43.4 | 39.7 | 80.8 | - | 59.1 | 51.9 |
Q. Cook
|
G | 31 | 29.2 | 11.6 | 2.2 | 4.2 | 1.5 | 0.0 | 1.6 | 8.6 | 9.2 | - | - | - | 41.6 | 38.1 | 85.1 | - | 60.5 | 52.6 |
R. Sulaimon
|
G | 30 | 26.1 | 10.2 | 2.5 | 2.6 | 0.8 | 0.0 | 1.2 | 7.0 | 8.0 | - | - | - | 39.8 | 40.0 | 77.1 | - | 59.7 | 48.8 |
A. Dawkins
|
G | 30 | 14.0 | 8.1 | 1.3 | 0.4 | 0.4 | 0.2 | 0.5 | 5.9 | 4.0 | - | - | - | 43.8 | 41.7 | 80.0 | - | 63.1 | 60.7 |
A. Jefferson
|
F | 31 | 23.2 | 6.5 | 7.2 | 1.0 | 0.7 | 0.6 | 0.7 | 4.1 | 11.3 | - | - | - | 61.7 | 0 | 54.8 | - | 65.0 | 61.7 |
T. Thornton
|
G | 31 | 21.3 | 3.3 | 1.7 | 2.3 | 1.3 | 0.0 | 0.7 | 2.1 | 5.8 | - | - | - | 41.5 | 45.3 | 85.0 | - | 68.4 | 60.0 |
M. Jones
|
G | 28 | 7.6 | 1.8 | 0.9 | 0.1 | 0.4 | 0.0 | 0.1 | 1.5 | 1.6 | 102 | 7.8 | 11.1 | 31.7 | 17.6 | 51.6 | 1.89 | 45.8 | 35.4 |
A. Murphy
|
F | 3 | 7.0 | 1.7 | 1.7 | 0.3 | 0.0 | 0.0 | 0.3 | 0.7 | 2.7 | - | - | - | 0.0 | 0.0 | 50.0 | - | 66.5 | 0.0 |
J. Hairston
|
F | 26 | 9.0 | 1.3 | 1.1 | 0.4 | 0.1 | 0.1 | 0.3 | 1.1 | 1.6 | - | - | - | 48.3 | 0 | 62.5 | - | 53.8 | 48.3 |
M. Plumlee
|
C | 27 | 9.0 | 1.3 | 2.4 | 0.3 | 0.2 | 0.6 | 0.3 | 1.0 | 3.4 | - | - | - | 55.6 | 0 | 35.3 | - | 52.2 | 55.6 |
S. Ojeleye
|
F | 15 | 4.1 | 1.2 | 0.5 | 0.1 | 0.2 | 0.1 | 0.2 | 0.6 | 1.3 | - | - | - | 44.4 | 66.7 | 100.0 | - | 71.9 | 55.6 |
N. Pagliuca
|
G | 3 | 1.7 | 0.3 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.7 | - | - | - | 0.0 | 0 | 50.0 | - | 26.6 | 0.0 |
T. Zafirovski
|
F | 2 | 2.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | - | - | - | 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