๐Ÿปโฌ‡๏ธ๐Ÿ€

Vanderbilt

Also known as: Vanderbilt Commodores, Vanderbilt
Program History

2016 Team Stats (19 games)

73.8
PPG
66.7
Opp
+7.1
Margin
44.6%
FG%
36.0%
3P%
70.2%
FT%
37.5
RPG
14.3
APG
11.2
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

Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. 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 - 32 30.1 14.0 3.9 5.2 1.2 0.3 2.8 6.5 15.3 246 30 8.2 11.6 43.1 38.6 82.9 2.28 87.1 49.5
Damian Jones Damian Jones C 32 25.9 13.8 6.6 1.1 0.2 1.6 2.0 5.4 16.0 187 30 6.2 10.4 58.6 0.0 53.7 2.09 100.0 58.6
Matthew Fisher-Davis Matthew Fisher-Davis G 31 27.2 9.6 3.6 1.1 0.5 0.3 0.9 4.4 9.8 175 29 6.0 9.2 41.5 42.3 71.4 -0.4 103.0 56.7
Jeff Roberson Jeff Roberson F 31 26.9 9.2 5.7 1.2 0.5 0.2 1.1 4.0 11.7 197 29 6.8 10.9 48.0 41.5 80.4 2.73 96.5 54.9
Luke Kornet Luke Kornet F 27 27.1 8.8 7.4 1.4 0.4 3.1 1.1 4.8 15.2 206 25 8.2 12.6 37.7 30.6 75.9 3.52 83.4 45.0
Riley LaChance Riley LaChance G 32 25.5 7.2 2.4 2.5 0.6 0.0 1.4 5.2 6.2 165 29 5.7 9.5 37.0 38.1 78.9 0.7 66.0 46.7
Nolan Cressler Nolan Cressler G 30 12.3 4.8 2.2 0.8 0.1 0.1 0.7 2.9 4.3 65 26 2.5 8.5 48.3 28.9 52.9 -1.2 75.7 55.7
Josh Henderson Josh Henderson C 31 10.3 3.6 2.1 0.6 0.2 0.4 0.7 1.6 4.6 93 29 3.2 13.4 55.1 50.0 70.3 2.99 85.0 56.1
Joe Toye Joe Toye G 29 8.5 3.6 1.3 0.3 0.2 0.1 0.4 1.8 3.2 42 26 1.6 8.6 50.0 41.2 67.7 -1.83 79.2 56.7
Camron Justice Camron Justice G 26 9.7 3.2 1.0 0.3 0.3 0.0 0.5 1.8 2.6 48 24 2.0 9.9 34.8 28.6 100.0 -0.65 87.5 43.5
Samir Sehic Samir Sehic F 21 5.0 1.2 1.4 0.2 0.0 0.0 0.1 0.6 2.2 6 17 0.4 2.9 38.5 50.0 80.0 -0.94 74.7 46.2
Phillip McGloin Phillip McGloin G 10 1.8 1.1 0.4 0.0 0.0 0.0 0.0 0.8 0.7 -6 8 -0.8 -16.3 37.5 33.3 50.0 -1.72 61.9 50.0
Nathan Watkins Nathan Watkins G 11 2.6 0.4 0.5 0.1 0.0 0.0 0.0 0.1 0.8 -9 9 -1.0 -15.6 100.0 0 0 -2.26 200.0 100.0
Carter Josephs Carter Josephs G 21 4.7 0.2 0.3 0.8 0.1 0.0 0.3 0.0 1.0 -19 18 -1.1 -9.1 100.0 0 0 -3.52 200.0 100.0

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