NC State
2024 Team Stats (40 games)
75.9
PPG
71.8
Opp
+3.8
Margin
44.9%
FG%
34.5%
3P%
73.7%
FT%
35.4
RPG
13.1
APG
9.6
TO
78.8
Pace
Model Outputs
2023-2024
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 → | 1216 (#89) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1348 (#40) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +36.4 (#36) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.545 (#54) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.663 (#94) | NetEff +6.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.704 (#37) | AdjNet +7.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.706 (#37) | AdjNet +7.6 |
2024 Schedule & Results
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
DJ Horne
|
- | 40 | 32.5 | 16.9 | 3.5 | 2.1 | 1.3 | 0.1 | 1.4 | 13.8 | 8.8 | 59 | 3.7 | 6.5 | 43.6 | 40.4 | 81.4 | 0.66 | 56.3 | 53.1 |
DJ Burns Jr.
|
- | 41 | 24.8 | 12.9 | 4.0 | 2.9 | 0.4 | 0.6 | 1.9 | 10.6 | 8.4 | 98 | 12.2 | 31.3 | 53.1 | 20.0 | 68.0 | 0.7 | 55.4 | 53.2 |
J. Taylor
|
G | 41 | 27.4 | 11.2 | 3.6 | 1.3 | 1.1 | 0.5 | 1.5 | 8.4 | 7.7 | 6 | 0.9 | 2.0 | 41.3 | 36.4 | 75.5 | 0.2 | 56.0 | 50.6 |
C. Morsell
|
- | 41 | 32.6 | 11.1 | 2.8 | 1.6 | 1.1 | 0.5 | 0.9 | 9.6 | 6.6 | 25 | 1.5 | 2.4 | 40.6 | 27.0 | 80.6 | 0.12 | 50.9 | 45.3 |
M. Diarra
|
- | 40 | 22.0 | 6.3 | 7.8 | 0.6 | 0.7 | 1.0 | 0.7 | 4.8 | 10.9 | 1 | 0.1 | 0.1 | 47.7 | 30.9 | 65.8 | -0.24 | 56.2 | 53.1 |
Michael O'Connell
|
G | 41 | 25.1 | 5.7 | 3.4 | 3.2 | 0.9 | 0.1 | 1.2 | 4.5 | 7.5 | 81 | 4.8 | 9.1 | 44.9 | 37.5 | 77.6 | 1.11 | 56.6 | 53.0 |
Ben Middlebrooks
|
F | 41 | 16.1 | 5.7 | 4.4 | 0.6 | 0.8 | 0.6 | 0.6 | 3.6 | 7.9 | 42 | 2.5 | 6.1 | 48.6 | 7.7 | 73.8 | 0.48 | 58.3 | 49.0 |
D. Parker Jr.
|
G | 29 | 15.5 | 4.7 | 3.2 | 0.4 | 0.7 | 0.2 | 0.7 | 4.0 | 4.6 | 48 | 2.8 | 6.3 | 44.3 | 30.8 | 53.8 | 0.7 | 51.1 | 49.6 |
MJ Rice
|
- | 9 | 8.8 | 4.1 | 1.9 | 0.1 | 0.2 | 0.0 | 0.7 | 3.4 | 2.2 | 63 | 7.9 | 11.2 | 48.4 | 23.1 | 44.4 | 0.62 | 52.9 | 53.2 |
LJ Thomas
|
G | 12 | 7.5 | 2.6 | 1.1 | 0.8 | 0.4 | 0.0 | 0.1 | 2.1 | 2.8 | - | - | - | 40.0 | 57.1 | 63.6 | - | 51.9 | 48.0 |
Breon Pass
|
G | 31 | 5.4 | 1.3 | 0.5 | 0.3 | 0.2 | 0.1 | 0.2 | 1.1 | 1.0 | -18 | -1.2 | -11.1 | 44.1 | 33.3 | 62.5 | -0.1 | 53.3 | 51.5 |
K. Woods
|
G | 13 | 7.4 | 1.2 | 0.8 | 0.2 | 0.2 | 0.0 | 0.6 | 1.3 | 0.5 | 8 | 2.0 | 17.4 | 29.4 | 40.0 | 50.0 | 0.1 | 38.2 | 35.3 |
E. Ross
|
F | 14 | 3.6 | 0.3 | 0.4 | 0.0 | 0.1 | 0.1 | 0.1 | 0.8 | 0.1 | -4 | -1.0 | -10.8 | 18.2 | 0.0 | 0 | -0.08 | 18.2 | 18.2 |
J. Snell
|
G | 6 | 1.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | 13 | 2.6 | 24.8 | 0.0 | 0 | 0 | 0.05 | 0.0 | 0.0 |
I. Miranda
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
KJ Keatts
|
G | 6 | 1.5 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | 0.0 | -3 | -3.0 | -480.0 | 0 | 0 | 0 | -0.06 | 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