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Chattanooga Mocs

Also known as: Chattanooga Mocs
Program History

2013 Team Stats (2 games)

60.0
PPG
72.4
Opp
-3.1
Margin
41.8%
FG%
43.3%
3P%
65.8%
FT%
39.0
RPG
8.5
APG
21.0
TO
78.4
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 → 1289 (#175) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1272 (#157) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 917 (#539) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +21.3 (#197) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -2.1 (#349) HCA +3.3
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +0.0 More → 0.500 (#96) NetEff +0.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.4 | AdjD 72.2 More → 0.393 (#524) AdjO 67.4 | AdjD 72.2
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 → 0.448 (#321) 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 → 0.429 (#331) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 150 | GP 32 More → 901 (#404) RD 150 | GP 32

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-12 vs Tenn Temple Crusaders W 88 - 53
2012-11-15 @ Kansas Jayhawks L 55 - 69
2012-11-18 vs Southeast Missouri State Redhawks L 65 - 77
2012-11-19 vs Troy Trojans L 61 - 68
2012-11-20 vs Louisiana Tech Bulldogs L 63 - 71
2012-11-24 @ Kennesaw State Owls W 65 - 51
2012-12-01 vs Davidson Wildcats L 55 - 81
2012-12-08 vs Eastern Kentucky Colonels L 52 - 63
2012-12-11 @ LSU Tigers L 67 - 80
2012-12-16 vs Mercer Bears L 53 - 63
2012-12-21 vs Reinhardt Eagles W 108 - 78
2012-12-28 vs High Point Panthers W 68 - 61
2012-12-29 vs Utah Valley Wolverines W 76 - 69
2013-01-02 @ Georgia Tech Yellow Jackets L 58 - 74
2013-01-05 @ Samford Bulldogs W 74 - 70
2013-01-10 @ The Citadel Bulldogs W 70 - 65
2013-01-12 @ Charleston Cougars L 59 - 86
2013-01-17 vs Appalachian State Mountaineers W 91 - 88
2013-01-19 vs Western Carolina Catamounts L 81 - 90
2013-01-24 @ Elon Phoenix L 61 - 85
2013-01-27 @ UNC Greensboro Spartans L 69 - 77
2013-02-02 @ Georgia Southern Eagles L 57 - 59
2013-02-07 vs The Citadel Bulldogs W 89 - 76
2013-02-09 vs Charleston Cougars L 68 - 71
2013-02-11 vs Samford Bulldogs W 62 - 59
2013-02-14 vs Furman Paladins W 83 - 49
2013-02-16 @ Wofford Terriers L 58 - 78
2013-02-21 vs UNC Greensboro Spartans L 68 - 94
2013-02-23 vs Elon Phoenix W 72 - 68
2013-02-28 @ Western Carolina Catamounts W 81 - 72
2013-03-02 @ Appalachian State Mountaineers L 60 - 86
2013-03-08 vs UNC Greensboro Spartans L 81 - 87

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%
Z. Mason Z. Mason F 32 27.3 14.9 7.6 0.7 0.9 0.9 1.6 2.6 20.8 -12 -0.4 -0.8 44.6 45.0 66.7 0.31 258.6 50.0
G. McGhee G. McGhee G 32 29.0 12.1 3.8 2.3 1.3 0.2 1.5 1.6 16.7 -4 -0.1 -0.2 40.0 35.0 45.5 0.77 323.4 47.0
R. White R. White G 32 27.5 10.2 3.5 3.0 1.1 0.0 2.2 1.4 14.3 11 1.8 9.0 22.2 27.3 70.4 0.15 286.6 28.9
D. Hampton D. Hampton G 5 18.4 9.8 3.8 2.0 1.0 0.0 1.8 2.6 12.2 10 0.4 0.7 30.8 50.0 100.0 0.39 176.5 42.3
D. Zlovaric D. Zlovaric F 32 23.7 8.2 4.6 0.5 0.2 0.2 1.3 1.5 11.0 -68 -2.1 -4.1 53.2 0 81.8 -0.63 252.7 53.2
F. Cobb F. Cobb G 26 18.2 5.7 2.3 1.7 0.9 0.0 1.1 1.2 8.2 -53 -2.0 -4.2 51.6 54.5 100.0 -0.4 224.4 71.0
C. Jones C. Jones G 18 22.2 5.3 3.6 1.3 0.8 0.2 2.3 0.3 8.6 75 2.5 3.2 0.0 0.0 50.0 0.79 710.1 0.0
A. Bran A. Bran G 18 6.3 3.3 0.7 0.6 0.3 0.0 1.1 0.2 3.7 1 0.1 0.3 0.0 0 0 -0.02 1000.0 0.0
M. Bareika M. Bareika G 32 14.2 3.2 2.4 0.8 0.4 0.0 1.5 0.5 4.8 -22 -0.7 -1.6 37.5 25.0 50.0 -0.2 287.2 43.8
E. Robertson E. Robertson G 32 12.2 3.2 1.3 0.7 0.5 0.2 0.4 0.5 5.0 -45 -0.8 -2.5 33.3 37.5 75.0 -0.31 310.3 43.3
L. Stokes L. Stokes F 19 15.3 2.8 1.9 0.8 0.8 0.1 1.1 0.2 5.1 8 0.4 1.1 0.0 0 0 0.49 662.5 0.0
S. Watson S. Watson F 32 14.8 2.5 2.9 0.4 0.2 0.3 0.8 0.3 5.2 10 1.4 2.5 44.4 0.0 50.0 0.24 376.4 44.4
J. Bryant J. Bryant C 31 10.5 2.4 2.2 0.3 0.3 0.0 0.8 0.4 4.0 24 0.9 1.5 45.5 0 50.0 0.31 258.3 45.5

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