Clemson Tigers
2026 Team Stats (30 games)
66.6
PPG
59.7
Opp
+6.9
Margin
42.2%
FG%
34.6%
3P%
67.7%
FT%
36.3
RPG
12.9
APG
13.1
TO
76.8
Pace
67.5
AdjO
50.6
AdjD
#46
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 → | 1134 (#96) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1150 (#94) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1064 (#107) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +17.5 (#45) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +30.6 (#40) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.815 (#68) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.911 (#38) | NetEff +19.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.947 (#48) | AdjNet +25.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.952 (#48) | AdjNet +25.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.823 (#46) | AdjO 67.5 | AdjD 50.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.716 (#57) | AdjO 65.0 | AdjD 54.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.935 (#45) | 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 → | 0.912 (#49) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1166 (#87) | RD 118 | 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. Moore
|
G | 29 | 32.3 | 13.1 | 5.5 | 4.4 | 1.3 | 0.3 | 3.0 | 10.3 | 11.2 | 153 | 6.7 | 7.8 | 45.2 | 38.1 | 66.4 | 1.13 | 54.1 | 50.5 |
R. Augustinaite
|
G | 30 | 24.7 | 10.0 | 2.9 | 0.8 | 0.3 | 0.1 | 1.0 | 9.1 | 4.0 | 120 | 5.2 | 6.8 | 39.3 | 41.3 | 84.2 | 1.35 | 53.7 | 52.4 |
T. Johnson-Matthews
|
G | 30 | 21.9 | 9.4 | 2.4 | 0.6 | 0.9 | 0.1 | 1.1 | 8.7 | 3.6 | 154 | 6.7 | 13.1 | 39.1 | 39.6 | 76.9 | 2.67 | 49.7 | 46.4 |
R. Rose
|
G | 29 | 27.4 | 8.8 | 2.6 | 2.4 | 1.0 | 0.1 | 1.1 | 6.7 | 7.1 | 167 | 7.6 | 9.3 | 45.1 | 32.0 | 75.0 | 3.08 | 56.3 | 51.3 |
D. Hinds
|
F | 28 | 20.8 | 7.8 | 6.3 | 1.0 | 0.9 | 0.4 | 2.4 | 5.6 | 8.2 | 137 | 6.5 | 10.9 | 56.3 | 0 | 48.8 | 3.07 | 56.2 | 56.3 |
R. Thompson
|
F | 30 | 26.6 | 7.7 | 4.2 | 1.6 | 0.7 | 0.1 | 1.5 | 6.4 | 6.5 | 102 | 4.2 | 6.2 | 47.6 | 34.0 | 88.6 | -0.22 | 55.7 | 52.1 |
H. Kohn
|
G | 30 | 18.7 | 4.7 | 1.6 | 0.7 | 0.5 | 0.1 | 0.7 | 4.9 | 2.0 | 56 | 2.4 | 4.6 | 30.8 | 30.0 | 66.7 | -1.39 | 45.8 | 44.2 |
H. Periman
|
G | 30 | 22.4 | 2.6 | 5.5 | 1.2 | 0.7 | 1.0 | 1.2 | 3.1 | 6.8 | 99 | 4.5 | 6.1 | 26.9 | 17.7 | 64.3 | 0.61 | 37.5 | 32.8 |
H. Harris
|
G | 19 | 8.3 | 2.2 | 1.9 | 0.3 | 0.2 | 0.3 | 0.5 | 1.9 | 2.5 | 1 | 0.1 | 0.4 | 43.2 | 41.7 | 45.5 | -1.0 | 50.2 | 50.0 |
A. Jackson
|
G | 11 | 6.8 | 2.1 | 0.5 | 0.5 | 0.0 | 0.0 | 0.2 | 2.0 | 1.0 | 278 | 13.2 | 18.1 | 36.4 | 20.0 | 62.5 | 3.4 | 45.1 | 40.9 |
M. Lee
|
C | 18 | 5.4 | 1.9 | 0.8 | 0.2 | 0.1 | 0.4 | 0.2 | 1.8 | 1.5 | 9 | 0.6 | 3.7 | 40.6 | 21.4 | 100.0 | -0.85 | 50.5 | 45.3 |
M. Miller
|
F | 9 | 3.0 | 1.4 | 0.9 | 0.0 | 0.2 | 0.0 | 0.1 | 0.8 | 1.7 | 45 | 2.0 | 2.3 | 57.1 | 75.0 | 33.3 | 1.31 | 67.4 | 78.6 |
Ja'Kerra Butler
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -51 | -1.8 | -5.9 | - | - | - | -0.69 | - | - |
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