Charleston
2019 Team Stats (4 games)
64.5
PPG
70.5
Opp
-6.0
Margin
40.9%
FG%
30.5%
3P%
71.4%
FT%
30.0
RPG
11.5
APG
10.0
TO
-
Est. poss./game
70.3
Adj PPG
67.1
Adj Opp PPG
#126
Scoring Rank
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 โ | Data withheld: source-integrity hold | Historical Elo fit predates the season cutoff fix and has no verified season-bounded input receipt. |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1150 (#69) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1072 (#65) | HCA +83 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +3.2 (#130) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +1.0 (#154) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.702 (#57) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.628 (#124) | AdjNet +4.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.628 (#127) | AdjNet +4.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.573 (#126) | AdjO 70.3 | AdjD 67.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.560 (#102) | AdjO 71.0 | AdjD 68.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.602 (#120) | 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 | 0.599 (#110) | 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 | 1099 (#96) | RD 147 | GP 32 |
2019 Schedule & Results
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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
G. Riller
|
G | 30 | 35.4 | 22.2 | 3.5 | 4.0 | 1.2 | 0.1 | 2.4 | 4.0 | 24.6 | 200 | 29 | 6.9 | 8.2 | 46.7 | 18.2 | 84.0 | 3.7 | 234.5 | 49.2 |
Jarrell Brantley
|
- | 30 | 34.0 | 19.4 | 8.3 | 2.6 | 1.5 | 0.8 | 2.6 | 4.1 | 25.9 | 184 | 29 | 6.3 | 7.7 | 52.8 | 36.7 | 86.2 | 1.25 | 214.7 | 57.3 |
B. Galloway
|
- | 30 | 25.5 | 7.9 | 2.4 | 1.0 | 1.2 | 0.0 | 0.7 | 2.0 | 9.9 | 150 | 29 | 5.2 | 8.5 | 37.3 | 33.3 | 42.9 | 0.59 | 190.9 | 49.2 |
Z. Jasper
|
- | 30 | 25.1 | 5.2 | 2.0 | 1.1 | 0.7 | 0.0 | 0.8 | 1.3 | 7.1 | 103 | 29 | 3.6 | 5.8 | 28.9 | 29.2 | 71.4 | -1.72 | 177.8 | 38.2 |
M. Pointer
|
G | 22 | 24.5 | 4.9 | 2.0 | 2.3 | 0.7 | 0.1 | 1.5 | 0.5 | 8.1 | 42 | 21 | 2.0 | 3.4 | 20.0 | 33.3 | 80.0 | -3.23 | 442.6 | 25.0 |
J. McManus
|
F | 30 | 19.0 | 4.7 | 3.8 | 0.3 | 0.3 | 0.1 | 0.7 | 1.1 | 7.3 | 49 | 29 | 1.7 | 3.5 | 41.2 | 28.6 | 50.0 | -1.05 | 197.1 | 47.1 |
S. Miller
|
F | 21 | 12.8 | 4.6 | 2.4 | 0.5 | 0.1 | 0.1 | 0.6 | 0.5 | 6.7 | 0 | 19 | 0.0 | 0.0 | 54.5 | 50.0 | 100.0 | -3.11 | 376.2 | 59.1 |
J. Richard
|
G | 29 | 13.1 | 4.0 | 1.4 | 0.4 | 0.5 | 0.1 | 1.0 | 0.8 | 4.7 | 45 | 26 | 1.7 | 5.4 | 31.8 | 8.3 | 77.8 | -0.46 | 221.5 | 34.1 |
N. Harris
|
F | 29 | 17.7 | 3.2 | 3.6 | 0.2 | 0.3 | 0.6 | 0.6 | 0.6 | 6.8 | 119 | 27 | 4.4 | 10.0 | 50.0 | 0 | 57.1 | 0.91 | 243.7 | 50.0 |
I. Moore
|
- | 2 | 6.0 | 2.5 | 2.0 | 0.0 | 0.5 | 0.0 | 0.0 | 1.0 | 4.0 | 25 | 9 | 2.8 | 11.3 | 50.0 | 0.0 | 50.0 | -0.27 | 53.9 | 50.0 |
S. Ndiaye
|
C | 3 | 3.0 | 2.0 | 0.7 | 0.0 | 0.3 | 0.3 | 0.7 | 0.0 | 2.7 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
O. Smart
|
C | 11 | 5.5 | 0.3 | 1.4 | 0.0 | 0.2 | 0.2 | 0.4 | 0.1 | 1.5 | 7 | 10 | 0.7 | 6.2 | 0.0 | 0 | 0 | -0.74 | 150.0 | 0.0 |
J. Blackmon Jr.
|
- | 2 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
T. Robinson
|
- | 1 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | - | 0 | 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