William Carey
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 → | 994 (#388) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -3.5 (#542) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -13.5 (#505) | HCA +2.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.453 (#457) | AdjO 68.2 | AdjD 70.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.253 (#506) | 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 → | 0.289 (#504) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 887 (#500) | RD 350 | GP 2 |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-09 | @ | Southern Miss Golden Eagles | L | 67 - 81 |
| 2021-11-22 | @ | South Alabama Jaguars | L | 53 - 96 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Z. Martin
|
- | 2 | 26.0 | 18.0 | 5.5 | 2.0 | 1.0 | 0.0 | 3.5 | 0.0 | 23.0 | - | - | - | 0 | 0 | 0 | -0.34 | 0 | 0 |
A. Bingham
|
G | 2 | 30.0 | 13.0 | 7.0 | 0.0 | 1.0 | 1.0 | 3.5 | 0.0 | 18.5 | - | - | - | 0 | 0 | 0 | -0.39 | 0 | 0 |
E. Kazeneza
|
- | 2 | 30.5 | 10.5 | 4.5 | 2.0 | 0.0 | 0.0 | 2.5 | 0.0 | 14.5 | - | - | - | 0 | 0 | 0 | -0.4 | 0 | 0 |
S. Bumpers
|
- | 1 | 20.0 | 8.0 | 3.0 | 2.0 | 0.0 | 0.0 | 3.0 | 0.0 | 10.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
M. Starwood
|
F | 1 | 30.0 | 6.0 | 1.0 | 1.0 | 0.0 | 2.0 | 0.0 | 0.0 | 10.0 | - | - | - | 0 | 0 | 0 | -0.12 | 0 | 0 |
W. Gaines Jr.
|
- | 1 | 26.0 | 6.0 | 4.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 10.0 | 293 | 8.6 | 12.6 | 0 | 0 | 0 | 2.01 | 0 | 0 |
J. Thigpen
|
- | 2 | 25.0 | 4.0 | 6.5 | 1.0 | 1.5 | 1.0 | 1.0 | 0.0 | 13.0 | - | - | - | 0 | 0 | 0 | -0.4 | 0 | 0 |
D. Whitworth
|
- | 2 | 5.5 | 2.0 | 0.5 | 0.5 | 1.0 | 0.0 | 0.5 | 0.0 | 3.5 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
D. Herrick
|
- | 2 | 15.0 | 1.5 | 0.5 | 0.0 | 0.5 | 0.0 | 1.0 | 0.0 | 1.5 | - | - | - | 0 | 0 | 0 | -0.27 | 0 | 0 |
T. Ward
|
- | 2 | 11.0 | 1.0 | 1.5 | 0.5 | 0.0 | 0.5 | 0.0 | 0.0 | 3.5 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
B. Roberts
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Rawls
|
- | 1 | 12.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | -27 | -3.0 | -6.2 | 0 | 0 | 0 | -0.32 | 0 | 0 |
J. Moore
|
- | 2 | 7.5 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | -48 | -1.9 | -8.5 | 0 | 0 | 0 | 1.7 | 0 | 0 |
C. Leonard
|
- | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
W. Moody
|
- | 2 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | -0.5 | - | - | - | 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