North Carolina
2017 Team Stats (31 games)
85.2
PPG
70.5
Opp
+14.7
Margin
46.4%
FG%
35.1%
3P%
69.2%
FT%
44.3
RPG
18.4
APG
11.5
TO
88.5
Pace
Model Outputs
2016-2017
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 → | 1563 (#38) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1555 (#26) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +40.2 (#14) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.844 (#7) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.846 (#4) | NetEff +15.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.920 (#7) | AdjNet +21.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.922 (#7) | AdjNet +21.3 |
2017 Schedule & Results
2017 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Justin Jackson
|
- | 31 | 32.3 | 18.2 | 4.7 | 2.8 | 0.8 | 0.3 | 1.8 | 15.4 | 9.6 | 10 | 0.7 | 1.0 | 43.4 | 36.5 | 73.0 | 0.86 | 54.5 | 52.2 |
J. Berry II
|
G | 29 | 30.6 | 13.9 | 2.7 | 3.3 | 1.4 | 0.2 | 1.9 | 11.3 | 8.3 | 44 | 5.5 | 10.1 | 40.1 | 36.6 | 72.4 | 1.2 | 54.1 | 50.5 |
K. Meeks
|
F | 31 | 24.5 | 13.1 | 9.4 | 1.1 | 1.0 | 1.3 | 1.1 | 9.3 | 15.5 | - | - | - | 57.6 | 0 | 62.9 | - | 59.7 | 57.6 |
I. Hicks
|
F | 30 | 23.0 | 12.4 | 5.6 | 1.5 | 0.4 | 0.7 | 1.4 | 7.8 | 11.4 | - | - | - | 57.4 | 0 | 77.7 | - | 63.5 | 57.4 |
K. Williams
|
G | 18 | 24.6 | 6.9 | 3.1 | 2.2 | 1.1 | 0.3 | 1.3 | 5.7 | 6.6 | 22 | 2.2 | 6.5 | 43.7 | 36.7 | 56.5 | 0.68 | 55.3 | 54.4 |
T. Bradley
|
- | 29 | 14.0 | 6.6 | 5.4 | 0.6 | 0.2 | 0.7 | 0.6 | 4.5 | 8.4 | - | - | - | 56.2 | 0 | 60.5 | -0.73 | 58.7 | 56.2 |
Theo Pinson
|
- | 20 | 23.6 | 6.4 | 4.7 | 3.7 | 0.8 | 0.2 | 1.5 | 5.5 | 8.8 | - | - | - | 38.7 | 25.0 | 70.2 | - | 48.6 | 42.8 |
L. Maye
|
F | 29 | 14.5 | 5.9 | 4.3 | 1.1 | 0.4 | 0.1 | 0.8 | 4.9 | 6.1 | - | - | - | 48.6 | 40.0 | 58.1 | - | 54.6 | 53.5 |
N. Britt
|
G | 31 | 18.6 | 4.5 | 2.0 | 2.4 | 1.2 | 0.0 | 0.8 | 4.4 | 4.8 | - | - | - | 35.8 | 33.9 | 71.4 | - | 46.2 | 43.1 |
S. White
|
G | 21 | 4.0 | 1.7 | 0.5 | 0.2 | 0.1 | 0.0 | 0.1 | 1.0 | 1.5 | - | - | - | 50.0 | 50.0 | 87.5 | - | 66.6 | 55.0 |
B. Robinson
|
G | 27 | 7.0 | 1.7 | 1.1 | 0.9 | 0.3 | 0.1 | 0.4 | 1.6 | 2.0 | -68 | -4.2 | -5.6 | 38.6 | 22.2 | 72.7 | 0.16 | 47.1 | 43.2 |
S. Woods
|
G | 31 | 7.3 | 1.6 | 1.4 | 1.1 | 0.5 | 0.0 | 0.9 | 1.6 | 2.1 | - | - | - | 32.0 | 10.0 | 58.6 | - | 39.8 | 33.0 |
S. Rush
|
F | 14 | 1.8 | 0.6 | 0.1 | 0.0 | 0.2 | 0.1 | 0.1 | 0.6 | 0.1 | - | - | - | 11.1 | 33.3 | 62.5 | - | 31.9 | 16.7 |
K. Coker
|
G | 15 | 1.3 | 0.5 | 0.2 | 0.1 | 0.1 | 0.0 | 0.0 | 0.1 | 0.7 | - | - | - | 50.0 | 0 | 100.0 | - | 83.3 | 50.0 |
A. Rohlman
|
F | 14 | 1.6 | 0.0 | 0.7 | 0.0 | 0.1 | 0.0 | 0.1 | 0.1 | 0.6 | - | - | - | 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