Clemson
2022 Team Stats (1 games)
64.0
PPG
82.0
Opp
-18.0
Margin
37.9%
FG%
27.8%
3P%
71.4%
FT%
33.0
RPG
13.0
APG
6.0
TO
-
Est. poss./game
73.0
Adj PPG
64.9
Adj Opp PPG
#70
Scoring Rank
Model Outputs
2021-2022
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 | 1096 (#94) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1078 (#119) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1014 (#155) | HCA +78 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +9.0 (#70) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +10.6 (#47) | HCA +2.1 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.631 (#102) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.832 (#68) | AdjNet +13.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.833 (#66) | AdjNet +13.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.676 (#70) | AdjO 73.0 | AdjD 64.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.600 (#84) | AdjO 70.3 | AdjD 65.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.696 (#81) | 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 โ | 0.682 (#84) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 1070 (#133) | RD 132 | GP 33 |
2022 Schedule & Results
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Joseph Girard Iii
|
- | 1 | 35.0 | 23.0 | 1.0 | 5.0 | 4.0 | 0.0 | 2.0 | 0.0 | 31.0 | 79 | 27 | 2.9 | 3.5 | 0 | 0 | 0 | 1.08 | 0 | 0 |
Pj Hall
|
- | 28 | 27.6 | 15.4 | 6.0 | 1.6 | 0.5 | 1.2 | 1.8 | 4.0 | 18.9 | 133 | 30 | 4.4 | 6.7 | 43.2 | 20.0 | 84.4 | 1.38 | 172.3 | 45.9 |
J. LaRavia
|
- | 1 | 40.0 | 15.0 | 8.0 | 1.0 | 3.0 | 0.0 | 3.0 | 0.0 | 24.0 | 251 | 33 | 7.6 | 9.0 | 0 | 0 | 0 | 4.01 | 0 | 0 |
B. Galloway
|
- | 2 | 30.5 | 14.5 | 1.5 | 1.0 | 2.0 | 0.5 | 1.0 | 0.0 | 18.5 | -35 | 24 | -1.5 | -2.3 | 0 | 0 | 0 | -0.43 | 0 | 0 |
David Collins
|
- | 4 | 31.0 | 11.8 | 7.8 | 3.5 | 1.5 | 0.0 | 2.5 | 2.8 | 19.2 | - | - | - | - | 54.5 | 100.0 | 50.0 | - | 184.2 | 59.1 |
Hunter Tyson
|
- | 23 | 25.2 | 10.2 | 5.5 | 1.3 | 0.8 | 0.3 | 1.0 | 2.4 | 14.7 | 152 | 25 | 6.1 | 9.6 | 50.0 | 26.1 | 78.6 | 2.74 | 188.2 | 55.4 |
A. Dawes
|
- | 9 | 29.8 | 10.0 | 2.1 | 2.8 | 0.7 | 0.0 | 1.8 | 4.3 | 9.4 | 135 | 33 | 4.1 | 5.6 | 43.6 | 42.9 | 64.3 | 0.99 | 99.6 | 59.0 |
Jaeden Zackery
|
G | 2 | 34.5 | 10.0 | 4.5 | 1.5 | 1.5 | 0.5 | 2.0 | 0.0 | 16.0 | 24 | 31 | 0.8 | 0.9 | 0 | 0 | 0 | 3.49 | 0 | 0 |
Nick Honor
|
- | 9 | 27.4 | 8.2 | 1.6 | 1.9 | 1.0 | 0.0 | 1.0 | 5.8 | 5.9 | 103 | 33 | 3.1 | 5.0 | 36.5 | 33.3 | 50.0 | 1.13 | 70.0 | 44.2 |
Chase Hunter
|
G | 31 | 23.0 | 6.7 | 2.7 | 1.8 | 0.5 | 0.2 | 1.0 | 1.7 | 9.3 | -11 | 33 | -0.3 | -0.6 | 50.9 | 55.0 | 78.6 | -1.0 | 175.8 | 61.3 |
Naz Bohannon
|
F | 9 | 19.6 | 5.7 | 3.0 | 1.8 | 0.7 | 0.0 | 0.9 | 3.1 | 7.1 | 47 | 33 | 1.4 | 2.7 | 50.0 | 50.0 | 70.0 | 0.24 | 78.7 | 51.8 |
Ian Schieffelin
|
F | 28 | 12.1 | 3.1 | 3.0 | 1.0 | 0.2 | 0.2 | 0.8 | 0.5 | 6.2 | -39 | 30 | -1.3 | -4.6 | 28.6 | 0.0 | 75.0 | -2.3 | 279.2 | 28.6 |
Alex Hemenway
|
- | 8 | 12.0 | 2.8 | 0.8 | 0.4 | 0.1 | 0.0 | 0.2 | 1.8 | 2.0 | 101 | 31 | 3.3 | 9.1 | 35.7 | 30.0 | 0.0 | 2.21 | 71.8 | 46.4 |
Ben Middlebrooks
|
F | 7 | 5.6 | 0.6 | 0.9 | 0.1 | 0.4 | 0.0 | 0.6 | 0.6 | 0.9 | 10 | 26 | 0.4 | 2.4 | 50.0 | 0 | 0 | -2.26 | 50.0 | 50.0 |
Joshua Beadle
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Parker Fox
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1 | 6 | 0.2 | 4.1 | 0 | 0 | 0 | -1.11 | 0 | 0 |
Devin Foster
|
- | 5 | 1.2 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.4 | 0.2 | -0.4 | -5 | 6 | -0.8 | -24.6 | 0.0 | 0.0 | 0 | -2.0 | 0.0 | 0.0 |
Jack Nauseef
|
- | 5 | 1.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | -0.2 | -7 | 5 | -1.4 | -41.6 | 0.0 | 0.0 | 0 | -2.53 | 0.0 | 0.0 |
Daniel Nauseef
|
F | 2 | 1.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | - | - | - | - | 0 | 0 | 0 | -1.18 | 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