South Carolina Gamecocks
2025 Team Stats (36 games)
80.1
PPG
58.0
Opp
+21.1
Margin
47.2%
FG%
34.3%
3P%
76.6%
FT%
41.9
RPG
16.6
APG
12.5
TO
84.9
Pace
87.5
AdjO
45.1
AdjD
#2
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 → | 1502 (#4) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1608 (#1) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +43.2 (#2) | HCA +2.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.973 (#3) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.973 (#2) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.999 (#2) | AdjNet +61.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.999 (#2) | AdjNet +63.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.979 (#2) | AdjO 87.5 | AdjD 45.1 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Edwards
|
F | 39 | 21.4 | 12.7 | 5.0 | 1.2 | 1.1 | 0.5 | 1.8 | 9.4 | 9.4 | 101 | 2.6 | 4.5 | 52.9 | 0.0 | 77.7 | 1.15 | 58.0 | 52.9 |
M. Fulwiley
|
G | 39 | 18.9 | 11.7 | 2.8 | 2.0 | 1.5 | 0.8 | 1.9 | 10.4 | 6.5 | 113 | 3.0 | 5.4 | 42.6 | 25.8 | 77.5 | 2.07 | 50.8 | 46.7 |
C. Kitts
|
F | 38 | 22.4 | 10.2 | 7.7 | 1.9 | 0.7 | 0.5 | 1.5 | 7.7 | 11.8 | 92 | 2.2 | 3.6 | 52.0 | 33.3 | 79.8 | 1.42 | 57.8 | 53.2 |
T. Paopao
|
- | 39 | 25.1 | 9.4 | 2.7 | 2.8 | 1.1 | 0.3 | 1.2 | 8.1 | 7.1 | 96 | 2.5 | 3.2 | 44.4 | 37.0 | 73.7 | 1.35 | 55.5 | 54.0 |
T. Johnson
|
G | 37 | 21.2 | 8.4 | 2.2 | 1.5 | 0.7 | 0.4 | 1.2 | 6.2 | 5.6 | 46 | 1.2 | 2.0 | 47.4 | 43.0 | 82.5 | 0.8 | 61.0 | 57.5 |
S. Feagin
|
- | 39 | 19.8 | 8.1 | 4.5 | 1.3 | 0.7 | 1.5 | 1.7 | 5.6 | 8.8 | 59 | 1.4 | 2.5 | 60.1 | 33.3 | 79.7 | 1.16 | 64.0 | 60.6 |
A. Watkins
|
F | 14 | 19.0 | 7.2 | 6.1 | 1.1 | 1.3 | 1.9 | 0.8 | 6.0 | 10.7 | 27 | 1.5 | 3.5 | 51.2 | 0.0 | 68.2 | 0.18 | 53.9 | 51.2 |
B. Hall
|
G | 39 | 23.5 | 6.3 | 3.0 | 1.0 | 0.6 | 0.2 | 0.6 | 5.8 | 4.7 | 180 | 4.1 | 7.6 | 38.2 | 38.3 | 66.7 | 1.65 | 50.1 | 48.0 |
R. Johnson
|
G | 39 | 24.3 | 4.9 | 4.5 | 2.8 | 1.4 | 0.6 | 1.0 | 5.6 | 7.5 | 136 | 3.5 | 5.3 | 35.0 | 29.5 | 68.2 | 2.26 | 41.9 | 40.3 |
Makenzie Mcdaniel
|
G | 30 | 10.9 | 3.1 | 0.8 | 1.7 | 0.7 | 0.0 | 0.6 | 2.3 | 3.5 | -6 | -0.2 | -0.7 | 50.0 | 23.1 | 68.8 | -0.11 | 56.7 | 52.2 |
M. Dauda
|
F | 34 | 6.3 | 2.0 | 1.9 | 0.1 | 0.2 | 0.1 | 0.4 | 1.6 | 2.4 | 73 | 2.1 | 13.2 | 32.1 | 25.0 | 75.0 | 0.2 | 48.0 | 37.5 |
A. Tac
|
F | 23 | 3.8 | 1.6 | 1.6 | 0.0 | 0.1 | 0.1 | 0.2 | 1.3 | 1.8 | 15 | 0.7 | 9.8 | 41.9 | 0 | 62.5 | -0.86 | 47.3 | 41.9 |
S. Walker
|
C | 15 | 5.6 | 1.4 | 0.7 | 0.3 | 0.1 | 0.1 | 0.2 | 1.3 | 1.1 | 12 | 0.8 | 5.0 | 40.0 | 0 | 71.4 | -0.57 | 45.5 | 40.0 |
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