Clemson
2018 Team Stats (22 games)
71.1
PPG
67.9
Opp
+3.2
Margin
43.2%
FG%
36.6%
3P%
76.5%
FT%
35.2
RPG
12.4
APG
11.5
TO
-
Est. poss./game
Model Outputs
2017-2018
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 โ | 1749 (#10) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1447 (#58) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +36.4 (#35) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.624 (#25) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More โ | 0.574 (#21) | NetEff +2.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.856 (#12) | AdjNet +15.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.858 (#12) | AdjNet +15.5 |
2018 Schedule & Results
2018 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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Marcquise Reed
|
G | 33 | 34.8 | 15.5 | 4.5 | 3.2 | 1.6 | 0.0 | 2.3 | 9.2 | 13.3 | - | - | - | - | 41.1 | 34.3 | 85.0 | - | 75.6 | 48.7 |
Gabe DeVoe
|
G | 33 | 34.2 | 14.3 | 4.8 | 2.2 | 1.0 | 0.4 | 2.1 | 8.0 | 12.6 | - | - | - | - | 45.3 | 40.0 | 79.7 | - | 80.7 | 57.0 |
Donte Grantham
|
F | 17 | 32.3 | 14.2 | 7.1 | 2.4 | 0.9 | 0.9 | 1.8 | 4.1 | 19.6 | - | - | - | - | 49.3 | 46.2 | 76.2 | - | 154.7 | 58.0 |
Shelton Mitchell
|
G | 31 | 33.5 | 12.3 | 3.1 | 3.7 | 0.8 | 0.0 | 2.0 | 6.0 | 11.8 | - | - | - | - | 39.6 | 38.9 | 89.9 | - | 85.9 | 48.9 |
Elijah Thomas
|
F | 33 | 25.1 | 10.9 | 8.3 | 1.0 | 0.5 | 2.2 | 2.1 | 5.4 | 15.4 | - | - | - | - | 52.0 | 0 | 60.9 | - | 82.0 | 52.0 |
Aamir Simms
|
F | 32 | 15.5 | 4.1 | 3.2 | 0.6 | 0.2 | 0.9 | 0.6 | 2.7 | 5.8 | - | - | - | - | 48.2 | 35.3 | 64.7 | - | 71.4 | 55.3 |
Mark Donnal
|
F | 32 | 12.4 | 3.9 | 1.6 | 0.3 | 0.2 | 0.3 | 0.4 | 1.8 | 3.9 | - | - | - | - | 49.2 | 43.8 | 81.8 | - | 97.1 | 61.0 |
David Skara
|
F | 25 | 19.4 | 3.4 | 2.9 | 0.4 | 0.6 | 0.4 | 1.0 | 2.8 | 4.0 | - | - | - | - | 43.5 | 20.0 | 62.5 | - | 50.6 | 46.4 |
A. Oliver II
|
G | 18 | 7.4 | 2.1 | 1.3 | 0.3 | 0.3 | 0.0 | 0.3 | 1.0 | 2.7 | - | - | - | - | 38.9 | 40.0 | 100.0 | - | 91.6 | 55.6 |
C. Trapp
|
G | 26 | 8.5 | 2.0 | 0.7 | 0.7 | 0.1 | 0.1 | 0.6 | 1.2 | 1.8 | - | - | - | - | 33.3 | 31.2 | 75.0 | - | 79.1 | 41.7 |
Malik William
|
F | 16 | 4.6 | 1.6 | 1.6 | 0.2 | 0.1 | 0.2 | 0.1 | 0.9 | 2.6 | - | - | - | - | 28.6 | 50.0 | 50.0 | - | 84.0 | 32.1 |
Scott Spencer
|
G | 18 | 7.7 | 1.2 | 0.6 | 0.3 | 0.1 | 0.1 | 0.2 | 1.3 | 0.7 | - | - | - | - | 17.4 | 14.3 | 0 | - | 45.7 | 21.7 |
Lyles Davis
|
G | 3 | 2.7 | 0.0 | 0.3 | 0.3 | 0.0 | 0.0 | 0.3 | 0.0 | 0.3 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Isaac Fields
|
G | 3 | 2.0 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | - | - | - | - | 0 | 0 | 0 | - | 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