North Greenville
Model Outputs
2021-2022
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 998 (#214) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +1.4 (#482) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -11.9 (#490) | HCA +2.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.471 (#370) | AdjO 68.9 | AdjD 70.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.272 (#492) | 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 → | 0.324 (#469) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 928 (#351) | RD 350 | GP 1 |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-09 | @ | Furman Paladins | L | 66 - 118 |
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/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Burton
|
G | 1 | 28.0 | 19.0 | 0.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 22.0 | - | - | - | 0 | 0 | 0 | -0.31 | 0 | 0 |
J. Redding
|
- | 1 | 28.0 | 11.0 | 2.0 | 3.0 | 1.0 | 0.0 | 3.0 | 0.0 | 14.0 | - | - | - | 0 | 0 | 0 | -0.28 | 0 | 0 |
M. Zick
|
- | 1 | 15.0 | 5.0 | 4.0 | 1.0 | 1.0 | 0.0 | 2.0 | 0.0 | 9.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Z. Perdew
|
- | 1 | 8.0 | 5.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 8.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
S. Hewitt
|
- | 1 | 15.0 | 4.0 | 3.0 | 2.0 | 1.0 | 0.0 | 2.0 | 0.0 | 8.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
C. Jamison
|
- | 1 | 22.0 | 4.0 | 4.0 | 0.0 | 1.0 | 0.0 | 2.0 | 0.0 | 7.0 | - | - | - | 0 | 0 | 0 | -0.36 | 0 | 0 |
J. Conley
|
- | 1 | 22.0 | 2.0 | 5.0 | 1.0 | 0.0 | 1.0 | 2.0 | 0.0 | 7.0 | - | - | - | 0 | 0 | 0 | -0.4 | 0 | 0 |
D. Singleton
|
- | 1 | 12.0 | 2.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | 153 | 4.6 | 10.9 | 0 | 0 | 0 | 0.59 | 0 | 0 |
D. Muncy
|
- | 1 | 9.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Rogers
|
- | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Watkins
|
- | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
A. Baker
|
- | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | -0.51 | 0 | 0 |
C. Williams
|
- | 1 | 10.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | -43 | -2.0 | -6.0 | 0 | 0 | 0 | 1.18 | 0 | 0 |
J. Thompson
|
- | 1 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | 0.68 | 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