Wofford Terriers
2023 Team Stats (4 games)
60.3
PPG
79.2
Opp
-19.0
Margin
33.2%
FG%
33.0%
3P%
75.4%
FT%
24.3
RPG
9.3
APG
10.8
TO
77.0
Pace
Model Outputs
2022-2023
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 → | 1052 (#166) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1019 (#222) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +12.2 (#247) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.208 (#287) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-12-11 | @ | North Carolina Tar Heels | L | 67 - 99 |
| 2022-12-27 | @ | Tennessee Lady Volunteers | L | 53 - 92 |
| 2023-03-03 | vs | UNC Greensboro Spartans | W | 68 - 63 |
| 2023-03-05 | vs | Chattanooga Mocs | L | 53 - 63 |
2023 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. Carman
|
G | 4 | 33.2 | 13.8 | 2.5 | 1.0 | 0.8 | 0.0 | 1.2 | 13.0 | 3.8 | - | - | - | 32.7 | 34.6 | 85.7 | - | 47.3 | 41.3 |
R. Rose
|
G | 4 | 32.0 | 12.5 | 3.5 | 2.8 | 1.8 | 0.0 | 2.8 | 9.5 | 8.2 | - | - | - | 42.1 | 50.0 | 70.6 | - | 55.0 | 50.0 |
H. Matthews
|
G | 4 | 30.0 | 10.2 | 4.0 | 1.8 | 1.5 | 0.5 | 2.0 | 12.0 | 4.0 | - | - | - | 31.2 | 29.4 | 75.0 | - | 39.8 | 36.5 |
L. Hatton
|
F | 4 | 32.0 | 8.5 | 2.8 | 0.5 | 0.2 | 1.5 | 0.8 | 9.8 | 3.0 | - | - | - | 33.3 | 29.2 | 50.0 | - | 42.6 | 42.3 |
A. Schultz
|
G | 4 | 31.0 | 5.8 | 2.8 | 1.8 | 3.2 | 0.0 | 0.5 | 4.5 | 8.5 | - | - | - | 33.3 | 38.5 | 75.0 | - | 53.4 | 47.2 |
J. Smith
|
G | 3 | 11.3 | 4.7 | 1.0 | 1.0 | 2.0 | 0.0 | 1.3 | 3.3 | 4.0 | - | - | - | 40.0 | 66.7 | 66.7 | - | 55.4 | 50.0 |
J. Parish
|
F | 3 | 10.0 | 3.3 | 1.0 | 0.0 | 0.3 | 0.0 | 0.3 | 1.7 | 2.7 | - | - | - | 60.0 | 66.7 | 100.0 | - | 85.0 | 80.0 |
A. Crawford
|
F | 3 | 8.3 | 2.0 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 2.7 | -0.3 | - | - | - | 25.0 | 0.0 | 100.0 | - | 33.8 | 25.0 |
S. Smith
|
G | 2 | 8.5 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 3.0 | -2.0 | - | - | - | 16.7 | 20.0 | 0 | - | 25.0 | 25.0 |
S. Richetto
|
G | 4 | 9.5 | 1.0 | 2.0 | 0.5 | 0.0 | 0.0 | 1.2 | 2.2 | 0.0 | - | - | - | 22.2 | 0.0 | 0 | - | 22.2 | 22.2 |
I. Clarke
|
G | 2 | 11.5 | 0.5 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 2.5 | -1.5 | - | - | - | 0.0 | 0.0 | 50.0 | - | 8.5 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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