Central Connecticut
2013 Team Stats (3 games)
69.3
PPG
77.1
Opp
-4.2
Margin
35.9%
FG%
28.2%
3P%
79.2%
FT%
34.3
RPG
10.0
APG
13.0
TO
88.7
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 → | 1309 (#156) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1005 (#370) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 952 (#490) | HCA +147 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +14.9 (#345) | HCA +3.0 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -1.0 (#321) | HCA +3.3 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.037 (#267) | NetEff -28.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.381 (#536) | AdjO 67.4 | AdjD 72.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.493 (#284) | 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 → | 0.465 (#295) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 938 (#285) | RD 157 | GP 30 |
2013 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Vinales
|
G | 30 | 38.2 | 21.6 | 2.0 | 3.8 | 1.4 | 0.1 | 3.3 | 2.8 | 22.8 | -99 | -3.3 | -4.2 | 40.5 | 37.8 | 93.3 | -0.46 | 358.2 | 48.8 |
M. Hunter
|
G | 30 | 37.2 | 15.7 | 7.7 | 2.6 | 2.6 | 0.9 | 3.4 | 3.0 | 23.2 | -94 | -3.1 | -3.8 | 44.9 | 41.7 | 90.3 | -0.64 | 229.9 | 50.6 |
A. Burbage
|
G | 26 | 32.2 | 10.3 | 3.1 | 1.0 | 0.6 | 0.2 | 1.2 | 1.7 | 12.3 | -79 | -3.0 | -4.4 | 29.5 | 28.6 | 75.0 | -0.35 | 282.0 | 38.6 |
M. McMillan
|
G | 30 | 36.4 | 8.2 | 4.3 | 3.5 | 1.5 | 0.3 | 1.4 | 1.0 | 15.5 | -94 | -3.5 | -4.6 | 36.7 | 20.0 | 90.0 | -0.66 | 357.6 | 40.0 |
J. Efese
|
F | 30 | 20.8 | 7.2 | 3.9 | 0.4 | 0.5 | 1.6 | 1.2 | 0.6 | 11.6 | -14 | -0.5 | -0.9 | 36.8 | 0 | 0.0 | 0.23 | 529.0 | 36.8 |
T. Allen
|
F | 30 | 19.8 | 6.2 | 3.9 | 0.8 | 0.4 | 0.6 | 0.8 | 1.1 | 10.0 | 62 | 1.8 | 5.1 | 51.5 | 30.8 | 75.0 | 0.67 | 253.3 | 57.6 |
B. Peel
|
F | 28 | 19.5 | 4.4 | 5.5 | 0.5 | 0.5 | 0.6 | 1.1 | 0.6 | 9.9 | -79 | -2.8 | -5.9 | 61.1 | 0 | 56.2 | -0.76 | 247.6 | 61.1 |
K. Cumberlander
|
G | 1 | 14.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
E. Raleigh
|
F | 9 | 1.9 | 0.8 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.9 | -16 | -1.6 | -10.0 | 0.0 | 0 | 0 | 0.06 | 350.0 | 0.0 |
A. Hurd
|
G | 19 | 4.8 | 0.7 | 0.5 | 0.2 | 0.2 | 0.0 | 0.2 | 0.1 | 1.4 | -20 | -1.1 | -4.1 | 0.0 | 0.0 | 100.0 | 0.03 | 243.1 | 0.0 |
G. Andrade
|
G | 7 | 2.7 | 0.6 | 0.3 | 0.3 | 0.0 | 0.0 | 0.0 | 0.1 | 1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 200.0 | 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