South Carolina State
2026 Team Stats (31 games)
66.6
PPG
78.5
Opp
-11.9
Margin
41.1%
FG%
33.6%
3P%
66.4%
FT%
31.1
RPG
12.0
APG
14.8
TO
80.1
Pace
64.1
AdjO
84.0
AdjD
#360
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 → | 864 (#281) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 748 (#346) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1015 (#158) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -19.7 (#360) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -1.6 (#384) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.114 (#354) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.049 (#334) | NetEff -23.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.044 (#360) | AdjNet -26.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.041 (#360) | AdjNet -27.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.140 (#360) | AdjO 64.1 | AdjD 84.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.397 (#619) | AdjO 68.6 | AdjD 73.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.394 (#404) | 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 → | 0.394 (#404) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 886 (#529) | RD 134 | GP 31 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Johnson
|
- | 31 | 27.2 | 13.3 | 3.0 | 3.4 | 1.4 | 0.0 | 2.6 | 10.2 | 8.3 | 113 | 5.4 | 16.0 | 43.5 | 38.3 | 72.1 | 0.86 | 54.5 | 49.2 |
Owen Bronston, Jr.
|
- | 26 | 21.1 | 10.4 | 2.5 | 0.6 | 0.7 | 0.0 | 0.7 | 9.5 | 4.1 | - | - | - | 37.7 | 36.3 | 77.8 | -0.32 | 51.6 | 49.2 |
Noah Treadwell
|
- | 30 | 22.8 | 9.4 | 1.3 | 0.7 | 0.4 | 0.1 | 1.3 | 7.8 | 2.9 | -84 | -4.2 | -15.3 | 36.9 | 35.0 | 67.7 | -0.78 | 54.4 | 51.7 |
Cameron Clark
|
- | 24 | 21.4 | 8.2 | 5.0 | 0.8 | 0.5 | 0.6 | 1.7 | 6.6 | 6.8 | -57 | -3.6 | -13.8 | 46.5 | 0 | 61.0 | -0.81 | 50.7 | 46.5 |
J. Morrow
|
- | 23 | 20.4 | 7.4 | 3.2 | 1.1 | 0.9 | 0.6 | 1.2 | 5.2 | 6.8 | -19 | -1.2 | -6.2 | 46.2 | 26.7 | 83.9 | -0.32 | 58.1 | 49.6 |
F. Tenebay
|
- | 30 | 22.8 | 7.1 | 2.9 | 1.8 | 1.2 | 0.1 | 1.9 | 5.4 | 5.7 | -69 | -3.3 | -11.7 | 39.8 | 25.0 | 72.0 | -0.63 | 50.9 | 41.9 |
Christopher Parker
|
- | 24 | 18.5 | 7.0 | 4.8 | 0.7 | 0.5 | 0.1 | 0.6 | 5.9 | 6.5 | -36 | -2.6 | -10.8 | 42.6 | 25.0 | 79.3 | -0.41 | 50.1 | 42.9 |
Rayniel Wright
|
- | 31 | 16.5 | 3.2 | 1.7 | 1.9 | 1.2 | 0.0 | 2.0 | 3.2 | 2.7 | -42 | -3.2 | -14.3 | 37.0 | 25.0 | 50.0 | -0.67 | 41.2 | 38.0 |
D. Wright
|
- | 12 | 14.4 | 3.1 | 2.9 | 0.6 | 0.3 | 0.0 | 0.9 | 2.6 | 3.4 | -120 | -10.0 | -47.7 | 41.9 | 25.0 | 58.8 | -0.75 | 48.1 | 43.5 |
C. McKenzie
|
- | 6 | 16.0 | 2.7 | 1.8 | 0.3 | 0.2 | 0.2 | 1.7 | 3.5 | 0.0 | -32 | -4.0 | -26.3 | 33.3 | 25.0 | 0 | -0.41 | 38.1 | 38.1 |
Teon Tindal
|
- | 26 | 9.4 | 2.5 | 1.6 | 0.3 | 0.3 | 0.3 | 0.7 | 1.8 | 2.3 | -46 | -3.1 | -27.7 | 52.1 | 0 | 46.7 | -0.53 | 52.3 | 52.1 |
D. Hodge Jr
|
- | 26 | 18.1 | 2.4 | 3.2 | 1.2 | 0.4 | 1.0 | 1.4 | 2.4 | 4.3 | - | - | - | 41.9 | 0 | 38.5 | - | 42.2 | 41.9 |
J. Miles
|
- | 20 | 8.8 | 1.8 | 0.8 | 0.3 | 0.1 | 0.1 | 0.3 | 2.1 | 0.7 | -41 | -3.4 | -32.3 | 30.2 | 14.8 | 50.0 | -0.47 | 37.3 | 34.9 |
Tim Okojie
|
- | 31 | 11.1 | 1.2 | 1.3 | 0.1 | 0.1 | 1.5 | 0.5 | 1.0 | 2.6 | -45 | -2.1 | -14.4 | 43.8 | 0 | 33.3 | -0.37 | 42.2 | 43.8 |
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