North Carolina
2019 Team Stats (30 games)
85.3
PPG
73.4
Opp
+12.5
Margin
46.2%
FG%
35.6%
3P%
74.3%
FT%
44.2
RPG
18.2
APG
13.3
TO
89.0
Pace
Model Outputs
2018-2019
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 → | 1505 (#39) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1509 (#30) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +39.4 (#18) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.800 (#11) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.768 (#12) | NetEff +10.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.929 (#9) | AdjNet +22.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.930 (#9) | AdjNet +22.4 |
2019 Schedule & Results
2019 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C. Johnson
|
- | 31 | 30.4 | 17.6 | 5.8 | 2.5 | 1.2 | 0.3 | 1.5 | 12.0 | 14.0 | 44 | 3.7 | 4.3 | 50.9 | 46.0 | 82.8 | 1.06 | 66.0 | 62.7 |
C. White
|
- | 30 | 29.1 | 16.3 | 3.7 | 4.1 | 1.2 | 0.3 | 2.6 | 13.0 | 9.9 | -8 | -0.8 | -4.1 | 41.6 | 35.3 | 81.0 | 0.14 | 55.7 | 50.9 |
L. Maye
|
F | 31 | 31.2 | 14.8 | 10.6 | 2.5 | 0.6 | 0.5 | 2.1 | 13.0 | 13.9 | - | - | - | 42.6 | 27.1 | 77.7 | - | 50.7 | 46.2 |
Nassir Little
|
- | 31 | 18.3 | 10.2 | 4.8 | 0.5 | 0.6 | 0.5 | 1.4 | 7.6 | 7.6 | - | - | - | 49.4 | 31.1 | 79.8 | - | 57.5 | 52.3 |
K. Williams
|
G | 31 | 30.7 | 8.4 | 3.9 | 3.5 | 0.9 | 0.3 | 1.7 | 7.3 | 8.0 | 22 | 2.2 | 6.5 | 39.2 | 29.1 | 80.0 | 0.68 | 51.6 | 47.4 |
G. Brooks
|
C | 31 | 23.3 | 8.1 | 5.5 | 1.2 | 0.5 | 0.4 | 0.8 | 5.7 | 9.2 | - | - | - | 58.0 | 0 | 62.2 | - | 59.9 | 58.0 |
B. Robinson
|
G | 30 | 11.9 | 3.4 | 1.6 | 1.4 | 0.2 | 0.2 | 0.5 | 2.4 | 3.9 | -68 | -4.2 | -5.6 | 50.7 | 47.7 | 66.7 | 0.16 | 66.4 | 65.5 |
S. Manley
|
- | 14 | 7.9 | 3.3 | 3.1 | 0.2 | 0.1 | 0.4 | 0.6 | 2.4 | 4.1 | - | - | - | 52.9 | 0 | 52.6 | - | 54.3 | 52.9 |
L. Black
|
- | 18 | 9.4 | 2.2 | 2.0 | 1.1 | 0.7 | 0.1 | 0.6 | 1.8 | 3.7 | - | - | - | 51.5 | 25.0 | 80.0 | - | 56.8 | 54.5 |
S. Woods
|
G | 30 | 10.4 | 2.1 | 1.0 | 1.9 | 0.9 | 0.1 | 1.6 | 1.9 | 2.5 | - | - | - | 41.1 | 37.5 | 65.0 | - | 47.8 | 43.8 |
A. Platek
|
- | 27 | 3.7 | 1.1 | 0.2 | 0.2 | 0.1 | 0.0 | 0.1 | 0.9 | 0.7 | - | - | - | 50.0 | 25.0 | 50.0 | - | 56.3 | 56.2 |
B. Huffman
|
C | 22 | 2.4 | 1.1 | 0.8 | 0.1 | 0.1 | 0.1 | 0.0 | 0.8 | 1.5 | - | - | - | 58.8 | 0 | 41.7 | - | 56.1 | 58.8 |
W. Miller
|
F | 14 | 1.6 | 0.9 | 0.3 | 0.0 | 0.1 | 0.1 | 0.1 | 0.8 | 0.5 | - | - | - | 54.5 | 0 | 33.3 | -0.16 | 52.8 | 54.5 |
K.J. Smith
|
G | 17 | 1.8 | 0.8 | 0.2 | 0.3 | 0.0 | 0.0 | 0.1 | 0.6 | 0.5 | - | - | - | 45.5 | 50.0 | 50.0 | -0.04 | 58.9 | 59.1 |
C. Ellis
|
F | 14 | 1.6 | 0.6 | 0.1 | 0.0 | 0.1 | 0.1 | 0.0 | 0.3 | 0.6 | - | - | - | 75.0 | 100.0 | 33.3 | - | 75.2 | 87.5 |
S. Rush
|
F | 14 | 1.5 | 0.1 | 0.4 | 0.1 | 0.1 | 0.0 | 0.3 | 0.3 | 0.1 | - | - | - | 0.0 | 0.0 | 40.0 | - | 16.1 | 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