Wofford
2026 Team Stats (30 games)
79.8
PPG
77.5
Opp
+2.3
Margin
45.7%
FG%
35.7%
3P%
70.5%
FT%
35.2
RPG
14.3
APG
9.4
TO
79.2
Pace
74.4
AdjO
80.4
AdjD
#253
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 → | 942 (#222) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 938 (#226) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1020 (#148) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -6.2 (#256) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +9.3 (#240) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.493 (#183) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.800 (#78) | NetEff +15.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.287 (#253) | AdjNet -7.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.285 (#253) | AdjNet -8.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.367 (#253) | AdjO 74.4 | AdjD 80.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.527 (#204) | AdjO 76.6 | AdjD 75.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.662 (#242) | 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 → | 0.630 (#242) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1017 (#222) | RD 150 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kahmare Holmes
|
G | 24 | 31.9 | 19.8 | 6.0 | 2.8 | 1.9 | 0.2 | 2.0 | 13.6 | 15.0 | 60 | 2.9 | 4.7 | 49.2 | 37.3 | 65.3 | 0.31 | 59.3 | 56.0 |
Nils Machowski
|
- | 30 | 33.7 | 17.3 | 5.7 | 2.6 | 0.7 | 0.5 | 1.8 | 13.0 | 12.1 | 56 | 2.4 | 4.0 | 43.6 | 39.0 | 78.3 | 0.05 | 58.6 | 54.5 |
C. Vasko
|
- | 30 | 32.2 | 10.8 | 4.7 | 4.2 | 1.0 | 0.3 | 1.1 | 9.2 | 10.7 | 73 | 3.2 | 5.3 | 40.1 | 33.1 | 81.7 | 0.58 | 53.6 | 49.8 |
Chace Watley
|
- | 30 | 24.7 | 9.4 | 3.5 | 1.4 | 0.6 | 0.1 | 1.1 | 7.7 | 6.2 | -23 | -1.0 | -2.3 | 39.2 | 29.2 | 78.1 | -0.69 | 51.6 | 44.8 |
Brian Sumpter
|
- | 29 | 22.1 | 6.6 | 4.6 | 0.7 | 0.2 | 1.2 | 1.0 | 4.6 | 7.9 | 21 | 0.9 | 2.0 | 59.8 | 18.2 | 61.5 | -0.29 | 62.0 | 60.6 |
Jayden Tyler
|
- | 23 | 13.9 | 5.8 | 1.0 | 0.5 | 0.7 | 0.2 | 0.4 | 4.0 | 3.8 | 3 | 0.2 | 1.2 | 45.7 | 48.3 | 53.7 | -0.24 | 60.9 | 60.9 |
Luke Flynn
|
G | 20 | 25.8 | 5.7 | 3.9 | 1.2 | 0.7 | 0.1 | 0.3 | 4.8 | 6.2 | 77 | 4.3 | 7.4 | 33.0 | 33.8 | 75.8 | 0.29 | 50.7 | 45.4 |
Rex Stirling
|
- | 28 | 14.9 | 5.3 | 3.2 | 1.0 | 0.3 | 0.2 | 0.9 | 3.8 | 5.4 | 23 | 1.1 | 4.5 | 57.5 | 0.0 | 61.4 | 0.02 | 59.4 | 57.5 |
B. Rigsbee
|
- | 23 | 16.0 | 4.5 | 1.7 | 0.7 | 0.2 | 0.3 | 0.5 | 3.3 | 3.7 | -39 | -2.3 | -8.8 | 50.6 | 23.5 | 69.2 | -0.6 | 58.8 | 55.8 |
Maximo Ortega
|
- | 22 | 8.9 | 3.4 | 1.0 | 0.5 | 0.2 | 0.0 | 0.5 | 2.2 | 2.5 | -19 | -1.2 | -10.6 | 53.1 | 41.2 | 66.7 | -0.69 | 63.0 | 60.2 |
Cannon Richards
|
- | 2 | 7.5 | 3.0 | 2.0 | 0.5 | 0.0 | 0.0 | 0.5 | 2.0 | 3.0 | -8 | -4.0 | -21.4 | 25.0 | 50.0 | 75.0 | -0.16 | 52.1 | 37.5 |
C. Richard
|
- | 7 | 7.1 | 2.3 | 1.4 | 0.4 | 0.0 | 0.3 | 0.7 | 1.6 | 2.1 | 25 | 3.6 | 34.8 | 72.7 | 0 | 0 | 0.1 | 72.7 | 72.7 |
Davis Miller
|
- | 6 | 1.7 | 0.5 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.5 | -1 | -0.2 | -6.9 | 50.0 | 100.0 | 0 | -0.05 | 75.0 | 75.0 |
Alessandro Perotti
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Grayson Collins
|
- | 9 | 1.6 | 0.0 | 0.0 | 0.1 | 0.1 | 0.0 | 0.0 | 0.3 | -0.1 | -1 | -0.2 | -6.9 | 0.0 | 0.0 | 0 | -0.05 | 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