🐻⬇️🏀

Central Arkansas

Also known as: Central Arkansas Bears
Program History

2013 Team Stats (2 games)

65.5
PPG
78.6
Opp
-2.1
Margin
39.8%
FG%
29.2%
3P%
50.0%
FT%
33.0
RPG
13.0
APG
14.5
TO
85.1
Pace

Model Outputs

2012-2013
Catalog

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 → 1103 (#275) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1087 (#316) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 957 (#481) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +12.9 (#376) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -1.5 (#338) HCA +3.3
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -15.0 More → 0.135 (#204) NetEff -15.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.0 | AdjD 77.4 More → 0.402 (#518) AdjO 73.0 | AdjD 77.4
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.478 (#296) 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. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.459 (#305) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 138 | GP 29 More → 934 (#290) RD 138 | GP 29

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%
J. Garner J. Garner F 28 30.2 15.9 7.0 1.3 1.1 0.4 2.4 2.6 20.7 -26 -0.9 -1.4 38.4 38.9 58.6 -0.07 258.9 47.9
L. Miles L. Miles G 25 28.6 15.4 5.2 3.1 1.5 0.4 3.1 1.5 20.9 -66 -2.6 -4.5 52.6 0.0 37.5 -0.36 427.4 52.6
R. Crawford R. Crawford G 29 28.6 14.8 4.1 1.4 1.0 0.6 1.7 2.5 17.7 11 0.4 0.6 39.7 42.0 73.7 0.65 263.0 54.1
J. Harks J. Harks F 30 19.9 7.9 4.2 0.7 0.5 0.3 0.7 1.6 11.3 -72 -2.4 -5.6 68.8 0 44.4 -0.56 212.8 68.8
A. Borden A. Borden C 22 20.9 6.9 5.1 0.5 0.5 2.2 1.0 0.5 13.6 -25 -1.1 -2.3 63.6 0 16.7 -0.02 557.2 63.6
D. McClure D. McClure G 29 22.4 5.9 1.8 2.3 1.0 0.4 1.1 1.5 8.9 -36 -1.2 -2.6 34.9 20.8 100.0 -0.33 198.0 40.7
D. Berete D. Berete G 28 16.8 4.4 2.6 2.0 0.8 0.1 1.0 0.9 8.0 -30 -1.1 -2.6 42.3 25.0 85.7 -0.04 211.5 44.2
R. Williams R. Williams G 30 13.5 3.8 1.9 1.3 0.7 0.0 1.3 0.8 5.7 255 7.7 12.5 32.0 27.3 66.7 2.25 196.8 38.0
T. Brown T. Brown F 25 10.1 2.8 3.0 0.3 0.3 0.2 0.9 0.3 5.4 33 1.3 2.9 71.4 0 100.0 0.6 437.8 71.4
O. Wells O. Wells G 29 14.1 2.4 1.3 1.2 0.4 0.0 0.8 0.6 3.8 -61 -2.1 -5.7 35.3 50.0 66.7 -0.65 178.2 41.2
Z. Padgett Z. Padgett G 20 8.0 2.1 0.9 0.1 0.2 0.1 0.6 0.9 2.0 27 1.3 5.4 22.2 10.0 0.0 0.32 116.6 25.0
L. Brown L. Brown G 25 12.8 1.9 1.6 1.2 0.6 0.0 1.2 0.3 3.9 31 1.5 11.5 57.1 50.0 0.0 2.3 322.6 64.3
A. Ridley A. Ridley C 7 3.6 0.9 1.0 0.0 0.0 0.3 0.3 0.3 1.6 -13 -1.9 -11.4 0.0 0.0 50.0 -0.16 104.2 0.0
S. Young S. Young C 4 3.8 0.5 0.8 0.0 0.2 0.0 0.5 0.8 0.2 - - - 0.0 0 0 - 33.3 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