North Carolina
2018 Team Stats (28 games)
80.6
PPG
74.2
Opp
+7.1
Margin
45.5%
FG%
34.6%
3P%
75.4%
FT%
41.4
RPG
18.0
APG
11.4
TO
84.2
Pace
Model Outputs
2017-2018
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 → | 1546 (#40) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1524 (#29) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +39.4 (#18) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.728 (#16) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.654 (#16) | NetEff +5.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.884 (#6) | AdjNet +17.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.886 (#6) | AdjNet +17.8 |
2018 Schedule & Results
2018 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. Berry II
|
G | 28 | 33.9 | 17.8 | 3.7 | 3.1 | 1.1 | 0.3 | 2.0 | 15.0 | 9.1 | 44 | 5.5 | 10.1 | 40.8 | 35.0 | 90.8 | 1.2 | 54.5 | 50.0 |
L. Maye
|
F | 29 | 32.2 | 16.6 | 9.7 | 2.2 | 1.0 | 1.0 | 1.8 | 14.1 | 14.6 | - | - | - | 47.8 | 39.8 | 63.1 | - | 53.9 | 52.3 |
C. Johnson
|
- | 24 | 29.6 | 12.4 | 4.7 | 2.5 | 0.7 | 0.2 | 1.0 | 10.5 | 9.0 | 44 | 3.7 | 4.3 | 41.8 | 32.3 | 83.6 | 1.06 | 54.1 | 50.2 |
K. Williams
|
G | 29 | 31.7 | 11.4 | 3.7 | 2.5 | 1.0 | 0.5 | 1.0 | 8.7 | 9.4 | 22 | 2.2 | 6.5 | 49.2 | 39.9 | 69.4 | 0.68 | 62.0 | 60.9 |
Theo Pinson
|
- | 29 | 29.6 | 10.0 | 6.8 | 5.3 | 1.2 | 0.4 | 2.2 | 7.4 | 14.2 | - | - | - | 48.1 | 27.5 | 80.4 | - | 57.2 | 50.7 |
S. Manley
|
- | 29 | 9.6 | 5.4 | 3.4 | 0.3 | 0.1 | 0.5 | 0.8 | 3.5 | 5.4 | - | - | - | 56.9 | 0 | 70.7 | - | 61.6 | 56.9 |
G. Brooks
|
C | 29 | 13.2 | 4.2 | 3.1 | 0.5 | 0.3 | 0.2 | 0.8 | 2.9 | 4.7 | - | - | - | 55.3 | 0 | 67.4 | - | 59.2 | 55.3 |
J. Felton
|
G | 14 | 9.3 | 2.1 | 0.7 | 1.2 | 0.5 | 0.1 | 1.1 | 2.6 | 0.9 | - | - | - | 33.3 | 10.5 | 75.0 | - | 38.4 | 36.1 |
A. Platek
|
- | 27 | 6.7 | 1.9 | 1.0 | 0.4 | 0.1 | 0.0 | 0.3 | 1.4 | 1.7 | - | - | - | 51.3 | 36.8 | 83.3 | - | 62.4 | 60.3 |
B. Huffman
|
C | 21 | 3.1 | 1.8 | 1.2 | 0.0 | 0.0 | 0.2 | 0.3 | 1.0 | 1.9 | - | - | - | 63.6 | 0 | 56.2 | - | 63.7 | 63.6 |
B. Robinson
|
G | 28 | 8.0 | 1.2 | 1.2 | 0.6 | 0.1 | 0.2 | 0.4 | 1.3 | 1.7 | -68 | -4.2 | -5.6 | 29.7 | 33.3 | 55.6 | 0.16 | 40.3 | 37.8 |
S. Woods
|
G | 16 | 6.8 | 1.0 | 0.6 | 0.8 | 0.3 | 0.1 | 0.6 | 1.4 | 0.8 | - | - | - | 26.1 | 0.0 | 80.0 | - | 31.7 | 26.1 |
S. Rush
|
F | 15 | 1.5 | 0.5 | 0.3 | 0.0 | 0.1 | 0.1 | 0.4 | 0.7 | 0.0 | - | - | - | 30.0 | 33.3 | 0 | - | 35.0 | 35.0 |
A. Rohlman
|
F | 16 | 1.4 | 0.2 | 0.4 | 0.1 | 0.0 | 0.0 | 0.1 | 0.1 | 0.6 | - | - | - | 100.0 | 0 | 0.0 | - | 82.0 | 100.0 |
K. Ma
|
G | 12 | 1.1 | 0.2 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | - | - | - | 33.3 | 0.0 | 0 | - | 33.3 | 33.3 |
W. Miller
|
F | 15 | 1.5 | 0.0 | 0.3 | 0.2 | 0.0 | 0.1 | 0.0 | 0.3 | 0.4 | - | - | - | 0.0 | 0 | 0 | -0.16 | 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