South Carolina Upstate
2026 Team Stats (30 games)
74.3
PPG
73.4
Opp
+0.9
Margin
44.2%
FG%
32.8%
3P%
67.7%
FT%
36.6
RPG
12.9
APG
12.4
TO
81.9
Pace
68.4
AdjO
77.2
AdjD
#291
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 → | 860 (#285) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 832 (#301) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 960 (#585) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -9.0 (#292) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +5.6 (#295) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.324 (#273) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.107 (#307) | NetEff -21.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.198 (#292) | AdjNet -12.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.196 (#292) | AdjNet -12.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.309 (#291) | AdjO 68.4 | AdjD 77.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.464 (#433) | AdjO 69.6 | AdjD 71.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.573 (#297) | 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 → | 0.535 (#302) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 908 (#455) | RD 160 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Gregory
|
G | 29 | 30.6 | 15.9 | 2.3 | 2.9 | 1.1 | 0.2 | 2.1 | 13.2 | 7.1 | -4 | -0.2 | -0.3 | 41.8 | 32.9 | 73.7 | -0.74 | 53.2 | 49.2 |
Mason Bendinger
|
- | 30 | 29.2 | 14.5 | 3.6 | 1.1 | 0.4 | 0.3 | 1.8 | 13.0 | 5.2 | -3 | -0.1 | -0.2 | 44.6 | 32.4 | 52.9 | -0.34 | 49.1 | 47.6 |
C. Adkins
|
G | 30 | 29.7 | 13.4 | 4.9 | 1.5 | 0.9 | 0.1 | 1.8 | 11.2 | 7.8 | -15 | -0.6 | -1.1 | 38.2 | 33.3 | 79.5 | -0.19 | 52.4 | 46.9 |
L. Davis
|
F | 26 | 21.3 | 7.9 | 4.4 | 0.8 | 0.7 | 0.6 | 1.3 | 5.9 | 7.2 | 47 | 2.1 | 4.1 | 47.7 | 29.3 | 73.7 | 0.38 | 57.6 | 53.3 |
B. Garcia
|
- | 20 | 14.9 | 7.0 | 4.3 | 0.9 | 0.9 | 0.1 | 1.1 | 5.0 | 7.1 | 29 | 2.4 | 7.7 | 62.4 | 0 | 52.0 | 0.55 | 62.1 | 62.4 |
I. Skinner
|
G | 30 | 20.5 | 5.1 | 3.2 | 1.9 | 1.1 | 0.4 | 1.0 | 4.4 | 6.2 | 74 | 3.2 | 10.3 | 39.4 | 35.4 | 87.5 | 0.42 | 55.0 | 52.7 |
N. Book
|
F | 7 | 10.3 | 4.6 | 3.1 | 0.4 | 0.6 | 0.1 | 0.3 | 2.3 | 6.3 | 51 | 7.3 | 53.0 | 81.2 | 0 | 100.0 | 0.45 | 85.8 | 81.2 |
Jafeth Martinez
|
- | 29 | 18.5 | 4.6 | 5.0 | 0.2 | 0.1 | 1.8 | 0.7 | 2.4 | 8.5 | 31 | 1.4 | 3.7 | 68.1 | 0 | 65.5 | 0.25 | 69.8 | 68.1 |
Tyler Smith
|
- | 29 | 22.8 | 4.2 | 2.7 | 2.9 | 1.4 | 0.1 | 1.9 | 4.3 | 5.2 | 5 | 0.2 | 0.4 | 35.5 | 27.5 | 66.7 | -0.92 | 44.0 | 39.9 |
CJ Rich
|
G | 4 | 11.0 | 3.2 | 1.0 | 1.2 | 0.2 | 0.2 | 0.8 | 1.8 | 3.5 | 41 | 10.2 | 330.2 | 57.1 | 75.0 | 66.7 | 0.02 | 78.1 | 78.6 |
C. Johnson
|
G | 9 | 8.7 | 2.7 | 1.3 | 0.6 | 0.6 | 0.1 | 0.3 | 2.4 | 2.4 | 31 | 2.8 | 35.0 | 40.9 | 42.9 | 50.0 | -0.28 | 48.7 | 47.7 |
K. Jones
|
G | 22 | 8.5 | 2.7 | 0.3 | 0.4 | 0.4 | 0.1 | 0.2 | 2.0 | 1.6 | 29 | 1.4 | 6.0 | 46.7 | 27.8 | 81.2 | 0.08 | 57.6 | 52.2 |
Coen Collier
|
- | 29 | 13.9 | 1.7 | 3.7 | 0.6 | 0.1 | 1.3 | 0.5 | 1.7 | 5.3 | -60 | -2.9 | -9.8 | 40.0 | 22.2 | 36.8 | -1.14 | 42.0 | 42.0 |
TJ Lewis
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -8 | -0.5 | -9.4 | - | - | - | 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