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Vanderbilt

Also known as: Vanderbilt Commodores, Vanderbilt
Program History

2016 Team Stats (13 games)

71.0
PPG
67.3
Opp
+3.7
Margin
43.0%
FG%
36.5%
3P%
70.5%
FT%
36.5
RPG
13.2
APG
11.4
TO
-
Est. poss./game
77.2
Adj PPG
62.2
Adj Opp PPG
#21
Scoring Rank

Model Outputs

2015-2016
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†’ 1245 (#45) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1138 (#84) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +98 elo More โ†’ 1019 (#143) HCA +98 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ +16.3 (#20) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ +12.8 (#36) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.797 (#32) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +22.5 More โ†’ 0.930 (#22) AdjNet +22.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +22.7 More โ†’ 0.933 (#22) AdjNet +22.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 77.2 | AdjD 62.2 More โ†’ 0.798 (#21) AdjO 77.2 | AdjD 62.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.6 | AdjD 66.0 More โ†’ 0.667 (#44) AdjO 73.6 | AdjD 66.0
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†’ 0.787 (#41) 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†’ 0.763 (#46) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 116 | GP 33 More โ†’ 1138 (#84) RD 116 | GP 33

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-13 vs Austin Peay Governors W 80 - 41
2015-11-16 vs Gardner-Webb Runnin' Bulldogs W 98 - 62
2015-11-19 vs Stony Brook Seawolves W 79 - 72
2015-11-23 vs St. John's Red Storm W 92 - 55
2015-11-24 @ Wake Forest Demon Deacons W 86 - 64
2015-11-25 @ Kansas Jayhawks L 63 - 70
2015-12-02 vs Detroit Mercy Titans W 102 - 52
2015-12-06 @ Baylor Bears L 67 - 69
2015-12-09 vs Dayton Flyers L 67 - 72
2015-12-19 vs Wofford Terriers W 80 - 56
2015-12-22 @ Purdue Boilermakers L 55 - 68
2015-12-30 vs Western Michigan Broncos W 86 - 61
2016-01-02 vs LSU Tigers L 82 - 90
2016-01-05 @ Arkansas Razorbacks L 85 - 90
2016-01-09 @ South Carolina Gamecocks L 65 - 69
2016-01-12 vs Auburn Tigers W 75 - 57
2016-01-16 vs Alabama Crimson Tide W 71 - 63
2016-01-20 @ Tennessee Volunteers W 88 - 74
2016-01-23 @ Kentucky Wildcats L 57 - 76
2016-01-26 vs Florida Gators W 60 - 59
2016-01-30 @ Texas Longhorns L 58 - 72
2016-02-04 vs Texas A&M Aggies W 77 - 60
2016-02-06 @ Ole Miss Rebels L 78 - 85
2016-02-10 vs Missouri Tigers W 86 - 71
2016-02-13 @ Auburn Tigers W 86 - 57
2016-02-16 @ Mississippi State Bulldogs L 74 - 75
2016-02-20 vs Georgia Bulldogs W 80 - 67
2016-02-23 @ Florida Gators W 87 - 74
2016-02-27 vs Kentucky Wildcats W 74 - 62
2016-03-01 vs Tennessee Volunteers W 86 - 69
2016-03-05 @ Texas A&M Aggies L 67 - 76
2016-03-10 vs Tennessee Volunteers L 65 - 67
2016-03-15 vs Wichita State Shockers L 50 - 70

2016 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%
W. Baldwin IV W. Baldwin IV - 29 30.0 14.0 3.8 4.8 1.1 0.3 3.0 5.4 15.6 246 30 8.2 11.6 40.8 32.6 84.3 2.28 103.5 45.5
Damian Jones Damian Jones C 29 26.1 13.9 6.7 1.2 0.2 1.7 1.9 4.1 17.7 187 30 6.2 10.4 56.8 0.0 51.5 2.09 137.4 56.8
Matthew Fisher-Davis Matthew Fisher-Davis G 28 27.2 9.7 3.6 1.1 0.5 0.3 0.9 3.6 10.8 175 29 6.0 9.2 41.0 41.7 70.6 -0.4 126.5 56.0
Jeff Roberson Jeff Roberson F 28 27.5 9.6 5.6 1.1 0.5 0.2 1.0 3.4 12.5 197 29 6.8 10.9 50.0 44.8 80.0 2.73 118.4 56.8
Luke Kornet Luke Kornet F 25 26.8 8.5 7.4 1.4 0.4 3.2 1.1 3.4 16.3 206 25 8.2 12.6 36.5 31.1 72.7 3.52 112.5 44.7
Riley LaChance Riley LaChance G 29 25.7 7.0 2.3 2.4 0.6 0.0 1.3 4.2 6.9 165 29 5.7 9.5 35.5 39.3 80.0 0.7 79.9 45.5
Nolan Cressler Nolan Cressler G 27 12.1 3.9 2.1 0.8 0.1 0.1 0.6 1.9 4.4 65 26 2.5 8.5 45.1 30.4 62.5 -1.2 95.4 52.0
Joe Toye Joe Toye G 26 8.7 3.6 1.3 0.3 0.2 0.1 0.4 1.5 3.5 42 26 1.6 8.6 45.0 38.5 67.9 -1.83 88.9 51.2
Josh Henderson Josh Henderson C 28 10.0 3.5 2.2 0.5 0.1 0.4 0.7 1.2 4.9 93 29 3.2 13.4 51.5 50.0 64.0 2.99 112.5 53.0
Camron Justice Camron Justice G 23 9.5 3.1 0.9 0.3 0.3 0.0 0.6 1.0 3.2 48 24 2.0 9.9 34.8 35.7 0 -0.65 156.5 45.7
Phillip McGloin Phillip McGloin G 8 1.9 1.4 0.4 0.0 0.0 0.0 0.0 0.4 1.4 -6 8 -0.8 -16.3 66.7 50.0 50.0 -1.72 141.8 83.3
Samir Sehic Samir Sehic F 19 4.7 1.2 1.5 0.2 0.0 0.0 0.1 0.5 2.2 6 17 0.4 2.9 50.0 100.0 83.3 -0.94 91.0 60.0
Carter Josephs Carter Josephs G 19 4.8 0.2 0.3 0.7 0.1 0.0 0.4 0.1 0.9 -19 18 -1.1 -9.1 100.0 0 0 -3.52 200.0 100.0
Nathan Watkins Nathan Watkins G 9 2.8 0.2 0.6 0.1 0.0 0.0 0.0 0.0 0.9 -9 9 -1.0 -15.6 0 0 0 -2.26 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