North Carolina
2023 Team Stats (23 games)
74.2
PPG
71.3
Opp
+3.7
Margin
42.9%
FG%
31.2%
3P%
75.6%
FT%
37.4
RPG
10.8
APG
10.2
TO
78.6
Pace
Model Outputs
2022-2023
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 → | 1345 (#48) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1445 (#18) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +41.5 (#14) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.538 (#50) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.652 (#77) | NetEff +5.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.588 (#53) | AdjNet +3.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.589 (#53) | AdjNet +3.1 |
2023 Schedule & Results
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Caleb Love
|
- | 26 | 36.2 | 16.6 | 3.8 | 2.5 | 1.1 | 0.3 | 2.4 | 13.6 | 8.3 | - | - | - | 36.8 | 28.2 | 74.5 | - | 54.3 | 43.8 |
RJ Davis
|
- | 26 | 35.7 | 16.2 | 4.9 | 3.3 | 1.1 | 0.1 | 1.8 | 11.2 | 12.6 | - | - | - | 44.7 | 37.3 | 89.2 | - | 63.3 | 52.7 |
A. Bacot
|
- | 25 | 29.6 | 14.9 | 10.4 | 1.4 | 0.6 | 1.1 | 2.3 | 8.8 | 17.2 | - | - | - | 53.8 | 0.0 | 67.1 | - | 64.6 | 53.8 |
P. Nance
|
- | 23 | 30.6 | 10.5 | 5.6 | 1.5 | 0.3 | 1.4 | 1.8 | 7.3 | 10.2 | - | - | - | 44.3 | 38.2 | 81.4 | - | 62.4 | 52.1 |
L. Black
|
- | 26 | 32.5 | 7.7 | 6.5 | 1.5 | 1.3 | 0.9 | 0.9 | 6.2 | 10.7 | - | - | - | 42.2 | 31.9 | 73.2 | - | 55.6 | 49.4 |
P. Johnson
|
G | 20 | 16.6 | 4.3 | 2.6 | 0.3 | 0.4 | 0.1 | 0.3 | 3.2 | 4.2 | 29 | 2.4 | 7.5 | 35.9 | 28.6 | 70.0 | 0.9 | 59.1 | 43.8 |
N. Burnett
|
- | 1 | 14.0 | 3.0 | 1.0 | 1.0 | 0.0 | 1.0 | 1.0 | 0.0 | 5.0 | -30 | -2.3 | -4.2 | 0 | 0 | 0 | 0.46 | 0 | 0 |
D. Dunn
|
G | 24 | 10.4 | 2.8 | 0.7 | 0.1 | 0.3 | 0.2 | 0.2 | 2.0 | 1.9 | 0 | 0.0 | 0.0 | 44.9 | 33.3 | 60.0 | 0.24 | 62.7 | 55.1 |
J. Washington
|
- | 14 | 6.7 | 2.1 | 1.8 | 0.1 | 0.1 | 0.1 | 0.5 | 1.8 | 1.9 | 29 | 3.6 | 4.3 | 44.0 | 0.0 | 66.7 | 1.19 | 49.5 | 44.0 |
S. Trimble
|
- | 26 | 9.0 | 1.9 | 0.8 | 0.4 | 0.1 | 0.3 | 0.6 | 1.2 | 1.8 | 22 | 1.8 | 2.3 | 58.1 | 33.3 | 45.0 | 1.32 | 61.6 | 59.7 |
T. Nickel
|
F | 19 | 6.1 | 1.6 | 0.6 | 0.3 | 0.1 | 0.1 | 0.1 | 1.3 | 1.3 | 38 | 2.1 | 3.1 | 36.0 | 18.8 | 83.3 | 1.05 | 51.2 | 42.0 |
J. McKoy
|
- | 9 | 5.4 | 1.1 | 1.2 | 0.1 | 0.0 | 0.3 | 0.1 | 0.9 | 1.8 | - | - | - | 37.5 | 0.0 | 100.0 | - | 51.2 | 37.5 |
D. Styles
|
G | 12 | 5.4 | 1.0 | 0.6 | 0.1 | 0.0 | 0.1 | 0.3 | 1.0 | 0.4 | - | - | - | 33.3 | 33.3 | 50.0 | - | 43.6 | 41.7 |
W. Shaver
|
- | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 36 | 4.5 | 15.9 | 0 | 0 | 0 | 0.77 | 0 | 0 |
C. Lebo
|
- | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
R. Landry
|
- | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
J. Watkins
|
- | 2 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | 0.05 | 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