Wilmington (OH) Quakers
Also known as: Wilmington (OH) Quakers
Program History
2013 Team Stats (1 games)
67.0
PPG
84.0
Opp
-17.0
Margin
39.3%
FG%
29.6%
3P%
75.0%
FT%
35.0
RPG
16.0
APG
15.0
TO
79.8
Pace
Model Outputs
2012-2013
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 → | 957 (#636) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 986 (#440) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 992 (#394) | HCA +147 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +6.1 (#466) | HCA +3.0 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -7.5 (#431) | HCA +3.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.467 (#375) | AdjO 65.5 | AdjD 67.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.374 (#373) | 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 → | 0.389 (#368) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 914 (#368) | RD 350 | GP 1 |
2013 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2012-12-30 | @ | Miami (OH) Redhawks | L | 67 - 84 |
2013 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Candella
|
G | 1 | 31.0 | 16.0 | 4.0 | 3.0 | 1.0 | 0.0 | 1.0 | 12.0 | 11.0 | - | - | - | 41.7 | 57.1 | 66.7 | -0.43 | 60.1 | 58.3 |
D. Johnson
|
G | 1 | 25.0 | 8.0 | 3.0 | 6.0 | 2.0 | 0.0 | 3.0 | 8.0 | 8.0 | 147 | 4.7 | 13.7 | 12.5 | 20.0 | 83.3 | 0.77 | 37.6 | 18.8 |
K. Ransome
|
G | 1 | 23.0 | 8.0 | 1.0 | 2.0 | 1.0 | 0.0 | 2.0 | 4.0 | 6.0 | - | - | - | 50.0 | 50.0 | 100.0 | - | 82.0 | 75.0 |
M. Bankston
|
G | 1 | 21.0 | 6.0 | 5.0 | 0.0 | 0.0 | 0.0 | 2.0 | 4.0 | 5.0 | - | - | - | 50.0 | 0 | 66.7 | - | 56.4 | 50.0 |
M. Heard
|
F | 1 | 11.0 | 4.0 | 1.0 | 1.0 | 1.0 | 0.0 | 1.0 | 2.0 | 4.0 | - | - | - | 50.0 | 0 | 100.0 | - | 69.4 | 50.0 |
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