NC State
2023 Team Stats (20 games)
76.3
PPG
71.5
Opp
+3.7
Margin
45.0%
FG%
34.0%
3P%
73.2%
FT%
35.4
RPG
11.2
APG
8.5
TO
79.3
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 → | 1271 (#79) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1395 (#34) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +38.6 (#31) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.602 (#32) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.624 (#95) | NetEff +4.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.585 (#54) | AdjNet +3.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.586 (#54) | AdjNet +3.0 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Terquavion Smith
|
- | 22 | 34.2 | 17.5 | 3.5 | 3.7 | 1.3 | 0.3 | 2.3 | 14.8 | 9.2 | 21 | 2.3 | 8.1 | 37.2 | 33.3 | 72.3 | 0.63 | 53.1 | 44.9 |
Jarkel Joiner
|
- | 22 | 36.5 | 16.8 | 5.3 | 3.7 | 1.5 | 0.0 | 1.4 | 13.4 | 12.6 | - | - | - | 39.1 | 33.3 | 91.0 | - | 56.3 | 46.1 |
DJ Burns Jr.
|
- | 22 | 23.6 | 13.4 | 4.5 | 1.7 | 0.7 | 0.9 | 2.1 | 10.9 | 8.3 | 40 | 4.0 | 6.0 | 55.2 | 0 | 54.3 | 1.01 | 56.9 | 55.2 |
C. Morsell
|
- | 22 | 36.0 | 10.8 | 4.3 | 0.9 | 1.0 | 0.6 | 0.8 | 7.8 | 9.1 | - | - | - | 42.7 | 34.9 | 74.2 | - | 64.2 | 53.5 |
D. Mahorcic
|
- | 1 | 25.0 | 9.0 | 4.0 | 0.0 | 0.0 | 2.0 | 2.0 | 5.0 | 8.0 | - | - | - | 80.0 | 0 | 50.0 | - | 76.5 | 80.0 |
Jack Clark
|
F | 10 | 26.5 | 8.8 | 7.0 | 1.0 | 1.4 | 0.4 | 0.3 | 7.1 | 11.2 | 40 | 5.0 | 29.4 | 45.1 | 25.0 | 100.0 | 0.75 | 60.8 | 51.4 |
E. Ross
|
F | 22 | 11.5 | 3.9 | 2.6 | 0.3 | 0.4 | 0.7 | 0.5 | 2.5 | 4.8 | - | - | - | 53.6 | 33.3 | 63.3 | 0.02 | 62.1 | 56.2 |
Greg Gantt Jr.
|
F | 18 | 18.7 | 2.3 | 4.8 | 0.3 | 1.0 | 0.4 | 0.5 | 1.9 | 6.4 | -28 | -2.8 | -7.3 | 45.7 | 33.3 | 71.4 | -0.02 | 53.8 | 48.6 |
LJ Thomas
|
G | 20 | 9.1 | 2.1 | 1.9 | 0.2 | 0.5 | 0.1 | 0.3 | 1.5 | 3.0 | -41 | -3.4 | -5.1 | 46.7 | 36.4 | 50.0 | 0.16 | 64.3 | 53.3 |
E. Dowuona
|
F | 20 | 12.8 | 1.8 | 2.2 | 0.0 | 0.1 | 1.1 | 0.2 | 1.6 | 3.5 | - | - | - | 48.4 | 0 | 60.0 | - | 50.8 | 48.4 |
Breon Pass
|
G | 19 | 6.5 | 1.2 | 1.0 | 0.1 | 0.3 | 0.0 | 0.3 | 1.0 | 1.3 | - | - | - | 42.1 | 33.3 | 100.0 | - | 57.8 | 50.0 |
J. Snell
|
G | 6 | 1.2 | 0.2 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.0 | - | - | - | 0.0 | 0 | 0 | - | 25.0 | 0.0 |
I. Miranda
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -17 | -2.8 | -9.5 | - | - | - | -0.21 | - | - |
C. Graham
|
- | 7 | 1.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.3 | 0.1 | -0.3 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
A. Nunnally
|
- | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
KJ Keatts
|
G | 6 | 1.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.0 | -0.3 | - | - | - | 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