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Vanderbilt

Also known as: Vanderbilt Commodores, Vanderbilt
Program History

2014 Team Stats (3 games)

60.7
PPG
68.7
Opp
-8.0
Margin
46.1%
FG%
36.8%
3P%
53.8%
FT%
28.7
RPG
12.0
APG
15.3
TO
-
Est. poss./game
65.3
Adj PPG
61.6
Adj Opp PPG
#114
Scoring Rank

Model Outputs

2013-2014
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 โ†’ 963 (#207) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1051 (#131) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +92 elo More โ†’ 942 (#255) HCA +92 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More โ†’ +4.4 (#105) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ +3.4 (#122) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.457 (#196) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +7.5 More โ†’ 0.703 (#104) AdjNet +7.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +7.5 More โ†’ 0.704 (#104) AdjNet +7.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.3 | AdjD 61.6 More โ†’ 0.583 (#114) AdjO 65.3 | AdjD 61.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.8 | AdjD 62.2 More โ†’ 0.491 (#187) AdjO 61.8 | AdjD 62.2
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 โ†’ 0.556 (#139) 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 โ†’ 0.538 (#150) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 133 | GP 31 More โ†’ 1045 (#137) RD 133 | GP 31

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-12 vs Georgia State Panthers W 86 - 80
2013-11-15 vs Lipscomb Bisons W 80 - 69
2013-11-19 @ Butler Bulldogs L 77 - 85
2013-11-22 vs Providence Friars L 60 - 67
2013-11-23 @ Morgan State Bears W 75 - 66
2013-11-25 vs Loyola Marymount Lions W 77 - 68
2013-12-02 @ Texas Longhorns L 64 - 70
2013-12-05 vs Marshall Thundering Herd W 69 - 67
2013-12-17 vs Austin Peay Governors W 58 - 56
2013-12-21 vs Georgia Tech Yellow Jackets W 76 - 63
2013-12-30 vs Saint Louis Billikens L 49 - 57
2014-01-04 vs Northeastern Huskies W 79 - 49
2014-01-07 @ Alabama Crimson Tide L 63 - 68
2014-01-11 vs Kentucky Wildcats L 62 - 71
2014-01-16 vs Missouri Tigers W 78 - 75
2014-01-18 @ LSU Tigers L 58 - 81
2014-01-22 vs Ole Miss Rebels L 52 - 63
2014-01-25 @ Texas A&M Aggies W 66 - 55
2014-01-29 @ Georgia Bulldogs W 59 - 54
2014-02-01 vs Mississippi State Bulldogs W 55 - 49
2014-02-05 vs Tennessee Volunteers W 64 - 60
2014-02-08 vs Arkansas Razorbacks L 75 - 77
2014-02-12 @ South Carolina Gamecocks - Postponed
2014-02-13 @ South Carolina Gamecocks L 59 - 65
2014-02-15 vs Texas A&M Aggies W 57 - 54
2014-02-19 @ Missouri Tigers L 64 - 67
2014-02-22 @ Auburn Tigers W 67 - 59
2014-02-25 vs Florida Gators L 54 - 57
2014-03-01 @ Tennessee Volunteers L 38 - 76
2014-03-06 vs LSU Tigers L 51 - 57
2014-03-08 @ Ole Miss Rebels L 62 - 65
2014-03-12 vs Mississippi State Bulldogs L 68 - 82

2014 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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Eric McClellan Eric McClellan G 10 31.9 15.0 4.6 3.2 1.2 0.2 4.0 4.2 16.0 71 9 7.9 12.2 42.9 0.0 46.7 2.41 154.3 42.9
Rod Odom Rod Odom F 26 36.5 13.4 5.0 1.2 0.5 0.6 1.3 3.7 15.6 8 28 0.3 0.4 30.9 30.2 65.2 2.89 162.4 40.7
Kyle Fuller Kyle Fuller G 26 31.7 10.9 3.7 4.3 0.7 0.1 3.0 2.6 14.1 -49 28 -1.8 -2.6 35.8 16.7 78.1 -1.76 175.1 38.1
Damian Jones Damian Jones C 26 25.3 10.9 5.6 0.2 0.2 1.3 1.8 3.5 12.9 -6 28 -0.2 -0.4 53.8 0 43.6 0.83 131.3 53.8
D. Parker D. Parker G 26 34.2 8.0 4.6 3.0 0.7 0.3 2.3 2.5 11.8 0 28 0.0 0.0 53.8 50.0 71.4 2.32 153.5 66.9
James Siakam James Siakam F 26 23.9 7.2 5.2 1.3 0.8 1.4 1.3 1.2 13.3 19 28 0.7 1.3 63.3 0 73.7 0.31 242.4 63.3
Josh Henderson Josh Henderson C 8 19.0 6.6 4.2 0.4 0.6 0.4 0.8 2.2 9.2 36 5 7.2 17.3 44.4 0 60.0 1.01 131.2 44.4
Luke Kornet Luke Kornet F 25 15.2 3.9 2.0 0.7 0.3 0.6 0.7 2.2 4.6 1 26 0.0 0.1 37.0 30.3 66.7 0.46 88.6 46.3
Nathan Watkins Nathan Watkins G 5 6.6 2.6 1.0 0.0 0.0 0.0 0.4 0.8 2.4 24 8 3.0 20.2 0.0 0.0 100.0 2.92 133.2 0.0
Shelby Moats Shelby Moats F 26 10.4 1.3 1.5 0.3 0.2 0.1 0.6 0.5 2.4 -44 28 -1.6 -6.4 46.2 40.0 66.7 -3.94 122.2 61.5
Carter Josephs Carter Josephs G 12 10.6 0.0 0.4 1.1 0.4 0.0 0.5 0.0 1.4 38 17 2.2 11.1 0 0 0 2.32 0 0
Rob Cross Rob Cross - 2 1.0 0.0 1.0 0.5 0.0 0.0 0.0 0.0 1.5 - - - - 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