South Carolina
2026 Team Stats (30 games)
75.0
PPG
77.5
Opp
-2.5
Margin
43.2%
FG%
30.5%
3P%
78.4%
FT%
32.1
RPG
13.3
APG
9.7
TO
77.3
Pace
77.1
AdjO
70.1
AdjD
#94
Rank
Model Outputs
2025-2026
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 → | 883 (#266) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1034 (#146) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 955 (#594) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +6.4 (#99) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +17.9 (#104) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.442 (#215) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.784 (#85) | NetEff +12.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.737 (#98) | AdjNet +8.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.740 (#98) | AdjNet +9.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.654 (#94) | AdjO 77.1 | AdjD 70.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.504 (#232) | AdjO 71.8 | AdjD 71.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.781 (#154) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.726 (#168) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1047 (#194) | RD 136 | GP 30 |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Johnson
|
- | 30 | 31.6 | 17.2 | 3.2 | 4.2 | 1.2 | 0.1 | 2.3 | 12.1 | 11.6 | -44 | -0.7 | -57.4 | 40.9 | 31.4 | 80.3 | -0.23 | 56.9 | 48.2 |
K. Knox
|
G | 30 | 30.3 | 10.9 | 3.4 | 2.1 | 1.1 | 0.2 | 1.2 | 7.4 | 9.2 | 85 | 4.0 | 7.9 | 49.3 | 30.9 | 75.2 | 0.73 | 60.0 | 54.1 |
M. Sharavjamts
|
- | 30 | 29.8 | 10.9 | 5.5 | 2.3 | 0.7 | 0.8 | 1.4 | 7.6 | 11.2 | -68 | -4.5 | -18.1 | 48.9 | 35.0 | 88.2 | 0.65 | 61.4 | 55.0 |
E. Strong
|
F | 30 | 16.9 | 9.9 | 2.3 | 0.9 | 0.4 | 0.2 | 0.9 | 8.8 | 4.0 | -37 | -3.1 | -19.3 | 44.5 | 27.8 | 76.0 | 0.36 | 52.1 | 49.2 |
E. Ellis
|
- | 27 | 26.8 | 8.6 | 2.9 | 1.9 | 0.8 | 0.0 | 0.9 | 7.3 | 6.0 | 14 | 0.8 | 1.7 | 38.8 | 27.8 | 87.9 | 0.64 | 51.5 | 44.4 |
M. Stute
|
G | 25 | 23.4 | 5.8 | 3.5 | 0.8 | 0.7 | 0.2 | 0.8 | 5.4 | 4.8 | -6 | -1.0 | -19.8 | 35.6 | 30.8 | 69.6 | -0.02 | 49.6 | 47.4 |
N. Kapic
|
- | 21 | 11.1 | 4.0 | 2.0 | 0.4 | 0.1 | 0.0 | 0.4 | 3.4 | 2.7 | 3 | 0.2 | 1.8 | 40.3 | 34.0 | 69.2 | -0.13 | 53.4 | 51.4 |
G. Polk
|
- | 28 | 12.2 | 3.6 | 1.1 | 0.1 | 0.2 | 0.1 | 0.2 | 3.2 | 1.6 | -18 | -0.9 | -3.6 | 38.2 | 31.9 | 90.9 | -0.05 | 53.3 | 50.6 |
J. Butler
|
F | 24 | 8.9 | 2.9 | 1.7 | 0.2 | 0.2 | 0.2 | 0.1 | 1.8 | 3.2 | -21 | -2.6 | -21.3 | 47.6 | 26.3 | 77.4 | 0.43 | 62.0 | 53.6 |
EJ Walker
|
F | 20 | 15.9 | 2.8 | 2.8 | 0.4 | 0.3 | 0.2 | 0.8 | 2.6 | 3.0 | -80 | -6.7 | -25.4 | 40.4 | 18.5 | 47.1 | -0.15 | 46.2 | 45.2 |
H. Assemian
|
- | 22 | 10.2 | 2.5 | 2.5 | 0.3 | 0.2 | 0.4 | 0.5 | 1.5 | 3.9 | 13 | 0.6 | 2.5 | 70.6 | 0 | 57.1 | 0.29 | 69.7 | 70.6 |
C. Essandoko
|
- | 19 | 7.4 | 1.9 | 1.6 | 0.3 | 0.2 | 0.1 | 0.4 | 2.2 | 1.6 | 4 | 0.5 | 5.7 | 29.3 | 33.3 | 57.1 | 0.38 | 39.2 | 35.4 |
E. Sparkman
|
- | 12 | 3.2 | 0.5 | 0.3 | 0.2 | 0.1 | 0.0 | 0.0 | 0.5 | 0.7 | -4 | -1.0 | -21.6 | 33.3 | 33.3 | 0 | -0.11 | 50.0 | 50.0 |
C. Scott
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Abu Yarmah
|
G | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 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