North Carolina
2016 Team Stats (31 games)
82.7
PPG
69.7
Opp
+12.9
Margin
47.8%
FG%
31.4%
3P%
74.9%
FT%
41.2
RPG
17.8
APG
10.9
TO
84.6
Pace
Model Outputs
2015-2016
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 → | 1566 (#43) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1560 (#26) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +40.7 (#12) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.839 (#5) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.848 (#3) | NetEff +15.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.926 (#2) | AdjNet +21.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.927 (#2) | AdjNet +22.0 |
2016 Schedule & Results
2016 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Johnson
|
F | 35 | 28.6 | 17.3 | 10.6 | 1.5 | 1.1 | 1.5 | 1.9 | 10.1 | 20.1 | 124 | 4.6 | 4.3 | 60.5 | 0 | 79.1 | 1.9 | 71.9 | 60.5 |
J. Berry II
|
G | 35 | 30.4 | 12.9 | 3.4 | 3.8 | 1.3 | 0.2 | 1.4 | 9.1 | 11.1 | - | - | - | 43.3 | 37.7 | 89.4 | 1.69 | 63.4 | 51.9 |
Justin Jackson
|
- | 35 | 28.4 | 12.3 | 4.1 | 2.7 | 0.5 | 0.4 | 1.0 | 9.8 | 9.2 | 108 | 5.1 | 5.4 | 46.9 | 28.1 | 67.1 | 1.76 | 57.6 | 50.9 |
M. Paige
|
G | 32 | 31.5 | 12.1 | 2.5 | 3.8 | 1.2 | 0.4 | 1.2 | 9.2 | 9.5 | 78 | 3.0 | 4.0 | 39.0 | 32.8 | 76.7 | 1.61 | 59.3 | 48.8 |
I. Hicks
|
F | 35 | 18.4 | 8.9 | 4.7 | 0.6 | 0.5 | 0.6 | 1.3 | 5.1 | 8.9 | 116 | 5.8 | 9.3 | 60.0 | 0 | 74.3 | 1.58 | 69.7 | 60.0 |
K. Meeks
|
F | 28 | 19.5 | 8.3 | 5.8 | 0.9 | 0.7 | 0.9 | 1.2 | 6.0 | 9.4 | 44 | 2.2 | 3.3 | 54.5 | 0 | 66.0 | 1.36 | 61.8 | 54.5 |
N. Britt
|
G | 34 | 14.9 | 5.1 | 1.4 | 1.8 | 0.6 | 0.0 | 0.9 | 4.4 | 3.7 | 69 | 3.0 | 4.3 | 37.6 | 32.3 | 83.7 | 1.5 | 52.1 | 44.6 |
Theo Pinson
|
- | 35 | 18.1 | 4.4 | 3.0 | 2.9 | 0.7 | 0.1 | 1.1 | 3.3 | 6.6 | 27 | 1.2 | 1.8 | 41.7 | 25.0 | 70.4 | 1.33 | 55.9 | 47.0 |
J. James
|
F | 32 | 7.7 | 2.1 | 2.4 | 0.0 | 0.0 | 0.2 | 0.4 | 1.8 | 2.5 | 11 | 1.4 | 2.4 | 45.6 | 0 | 44.4 | 0.62 | 51.6 | 45.6 |
L. Maye
|
F | 28 | 5.6 | 1.4 | 1.6 | 0.2 | 0.1 | 0.1 | 0.3 | 1.3 | 1.8 | - | - | - | 40.5 | 33.3 | 45.5 | 0.07 | 47.8 | 43.2 |
K. Williams
|
G | 27 | 4.0 | 0.8 | 0.4 | 0.2 | 0.1 | 0.0 | 0.0 | 0.7 | 0.7 | -30 | -4.3 | -5.5 | 36.8 | 9.1 | 100.0 | 0.81 | 48.5 | 39.5 |
S. White
|
G | 15 | 1.8 | 0.2 | 0.3 | 0.1 | 0.0 | 0.0 | 0.1 | 0.4 | 0.2 | - | - | - | 16.7 | 0.0 | 50.0 | - | 21.8 | 16.7 |
J. Coleman
|
G | 14 | 1.1 | 0.2 | 0.1 | 0.1 | 0.0 | 0.0 | 0.1 | 0.3 | 0.0 | -5 | -0.7 | -0.9 | 25.0 | 0.0 | 50.0 | 0.82 | 30.7 | 25.0 |
K. Coker
|
G | 11 | 1.2 | 0.2 | 0.6 | 0.1 | 0.0 | 0.0 | 0.2 | 0.3 | 0.5 | - | - | - | 33.3 | 0.0 | 0 | - | 33.3 | 33.3 |
S. Dalton
|
G | 16 | 1.1 | 0.1 | 0.1 | 0.0 | 0.0 | 0.0 | 0.1 | 0.4 | -0.3 | - | - | - | 14.3 | 0.0 | 0 | - | 14.3 | 14.3 |
T. Egbuna
|
F | 14 | 1.2 | 0.0 | 0.1 | 0.0 | 0.1 | 0.0 | 0.1 | 0.4 | -0.3 | - | - | - | 0.0 | 0.0 | 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