NC State Wolfpack
2025 Team Stats (33 games)
76.5
PPG
65.4
Opp
+11.2
Margin
44.6%
FG%
33.5%
3P%
68.6%
FT%
40.7
RPG
13.9
APG
11.5
TO
83.9
Pace
84.1
AdjO
55.3
AdjD
#15
Rank
Model Outputs
2024-2025
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 → | 1325 (#17) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1443 (#8) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +29.3 (#15) | HCA +2.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.871 (#45) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.871 (#44) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.993 (#15) | AdjNet +42.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.993 (#16) | AdjNet +43.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.932 (#15) | AdjO 84.1 | AdjD 55.3 |
2025 Schedule & Results
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. James
|
- | 34 | 31.6 | 18.1 | 5.0 | 2.7 | 1.1 | 0.3 | 2.0 | 15.5 | 9.7 | 64 | 1.8 | 2.2 | 44.4 | 33.2 | 74.5 | 0.86 | 53.9 | 51.4 |
Z. Brooks
|
G | 33 | 32.2 | 14.5 | 4.6 | 3.8 | 1.3 | 0.5 | 2.2 | 11.8 | 10.8 | 48 | 1.4 | 1.5 | 46.5 | 28.6 | 76.0 | 0.89 | 53.7 | 49.1 |
S. Rivers
|
- | 34 | 34.4 | 11.8 | 6.7 | 3.8 | 1.6 | 1.4 | 1.9 | 11.4 | 11.9 | 90 | 2.5 | 2.9 | 41.9 | 27.5 | 65.0 | 2.29 | 47.5 | 45.1 |
M. Hayes
|
G | 34 | 32.4 | 11.1 | 7.1 | 0.9 | 0.7 | 0.6 | 0.7 | 7.8 | 11.9 | 78 | 2.2 | 2.6 | 45.9 | 41.3 | 82.4 | 1.64 | 61.4 | 56.6 |
Z. Jones
|
G | 29 | 16.6 | 6.9 | 1.4 | 1.4 | 0.4 | 0.2 | 1.4 | 6.3 | 2.6 | -17 | -0.6 | -1.0 | 39.9 | 35.9 | 62.5 | 0.44 | 50.5 | 48.9 |
T. Trygger
|
F | 33 | 22.3 | 6.5 | 5.0 | 0.5 | 0.3 | 0.6 | 0.9 | 5.2 | 6.8 | 33 | 1.0 | 1.6 | 51.5 | 25.7 | 71.4 | 0.52 | 56.7 | 54.1 |
M. Collier
|
C | 28 | 11.2 | 3.0 | 2.3 | 0.1 | 0.1 | 0.1 | 0.9 | 2.6 | 2.2 | -1 | -0.0 | -0.1 | 55.6 | 0 | 20.0 | 0.07 | 52.0 | 55.6 |
L. Awou
|
C | 30 | 8.4 | 3.0 | 2.4 | 0.1 | 0.4 | 0.4 | 0.9 | 2.4 | 2.9 | -12 | -0.4 | -1.1 | 50.0 | 0 | 37.8 | 0.27 | 48.5 | 50.0 |
D. Quigley
|
G | 32 | 8.1 | 2.5 | 1.2 | 0.6 | 0.2 | 0.0 | 0.4 | 2.3 | 1.8 | -9 | -0.3 | -0.9 | 40.0 | 34.5 | 73.3 | 0.09 | 49.6 | 46.7 |
L. Williamson
|
F | 5 | 6.8 | 1.6 | 2.0 | 0.0 | 0.2 | 0.0 | 0.6 | 1.6 | 1.6 | 1 | 0.2 | 0.7 | 50.0 | 0 | 0 | -0.0 | 50.0 | 50.0 |
L. Steele
|
G | 22 | 6.1 | 1.5 | 0.8 | 0.1 | 0.3 | 0.0 | 0.2 | 1.6 | 1.0 | 4 | 0.2 | 1.0 | 33.3 | 34.8 | 66.7 | -0.33 | 45.6 | 44.4 |
M. Cox
|
F | 29 | 7.8 | 0.9 | 1.5 | 0.2 | 0.1 | 0.1 | 0.4 | 1.0 | 1.4 | -15 | -0.5 | -2.1 | 26.7 | 20.0 | 62.5 | -0.14 | 37.3 | 33.3 |
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