South Carolina
2019 Team Stats (7 games)
68.1
PPG
76.1
Opp
-5.6
Margin
42.4%
FG%
38.9%
3P%
58.9%
FT%
35.6
RPG
12.9
APG
14.1
TO
80.2
Pace
Model Outputs
2018-2019
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 → | 1305 (#110) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1481 (#35) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +30.2 (#91) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.143 (#84) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.093 (#73) | NetEff -20.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.598 (#55) | AdjNet +3.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.598 (#55) | AdjNet +3.4 |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-11-18 | vs | George Washington Revolutionaries | W | 90 - 55 |
| 2018-12-19 | vs | Virginia Cavaliers | L | 52 - 69 |
| 2019-01-08 | vs | Mississippi State Bulldogs | W | 87 - 82 |
| 2019-01-22 | vs | Auburn Tigers | W | 80 - 77 |
| 2019-01-29 | vs | Tennessee Volunteers | L | 70 - 92 |
| 2019-02-05 | @ | Kentucky Wildcats | L | 48 - 76 |
| 2019-02-13 | @ | Tennessee Volunteers | L | 73 - 85 |
| 2019-03-15 | vs | Auburn Tigers | L | 64 - 73 |
2019 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Chris Silva
|
- | 8 | 31.0 | 18.8 | 10.2 | 1.0 | 0.6 | 2.0 | 2.6 | 10.9 | 19.1 | - | - | - | 57.5 | 64.7 | 69.6 | - | 67.2 | 63.8 |
T.J. Moss
|
- | 1 | 18.0 | 11.0 | 2.0 | 2.0 | 1.0 | 0.0 | 5.0 | 5.0 | 6.0 | - | - | - | 60.0 | 75.0 | 100.0 | - | 93.5 | 90.0 |
T. Campbell
|
G | 8 | 28.0 | 10.1 | 1.6 | 2.9 | 1.8 | 0.1 | 1.0 | 7.5 | 8.0 | -40 | -2.5 | -3.4 | 41.7 | 55.6 | 78.6 | 0.73 | 61.2 | 58.3 |
M. Kotsar
|
F | 7 | 23.6 | 9.1 | 4.0 | 0.9 | 1.0 | 0.6 | 0.9 | 7.7 | 7.0 | - | - | - | 51.9 | 0.0 | 47.1 | - | 52.0 | 51.9 |
A.J. Lawson
|
- | 8 | 30.1 | 8.6 | 4.0 | 2.4 | 0.4 | 0.5 | 2.2 | 8.8 | 4.9 | - | - | - | 37.1 | 24.1 | 58.8 | - | 44.5 | 42.1 |
H. Gravett
|
- | 8 | 30.0 | 8.2 | 3.4 | 2.6 | 0.6 | 0.0 | 2.4 | 9.8 | 2.8 | - | - | - | 33.3 | 24.4 | 57.1 | - | 40.7 | 39.7 |
F. Haase
|
- | 8 | 24.6 | 7.0 | 4.0 | 1.1 | 0.1 | 0.1 | 1.6 | 6.2 | 4.5 | - | - | - | 40.0 | 45.5 | 50.0 | - | 50.7 | 50.0 |
Keyshawn Bryant
|
- | 8 | 22.0 | 5.5 | 2.8 | 1.6 | 0.5 | 0.6 | 1.9 | 6.9 | 2.2 | - | - | - | 34.5 | 22.2 | 50.0 | - | 37.6 | 36.4 |
J. Minaya
|
- | 1 | 21.0 | 3.0 | 7.0 | 1.0 | 0.0 | 1.0 | 1.0 | 4.0 | 7.0 | - | - | - | 25.0 | 50.0 | 0 | - | 37.5 | 37.5 |
A. Frink
|
F | 6 | 7.2 | 2.2 | 1.8 | 0.3 | 0.3 | 0.2 | 0.5 | 2.2 | 2.2 | - | - | - | 38.5 | 50.0 | 25.0 | - | 39.3 | 42.3 |
E. Hinson
|
G | 5 | 10.4 | 1.4 | 1.6 | 0.2 | 0.4 | 0.0 | 0.4 | 2.6 | 0.6 | - | - | - | 23.1 | 11.1 | 0 | - | 26.9 | 26.9 |
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