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Vanderbilt

Also known as: Vanderbilt Commodores, Vanderbilt
Program History

2017 Team Stats (11 games)

69.5
PPG
68.8
Opp
+0.6
Margin
42.0%
FG%
34.0%
3P%
77.8%
FT%
32.7
RPG
10.5
APG
11.6
TO
-
Est. poss./game
74.4
Adj PPG
62.5
Adj Opp PPG
#37
Scoring Rank

Model Outputs

2016-2017
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†’ 1282 (#38) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1174 (#59) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More โ†’ 1085 (#61) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More โ†’ +13.1 (#36) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More โ†’ +17.0 (#18) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.620 (#99) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +18.7 More โ†’ 0.896 (#37) AdjNet +18.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +18.8 More โ†’ 0.898 (#37) AdjNet +18.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 74.4 | AdjD 62.5 More โ†’ 0.748 (#37) AdjO 74.4 | AdjD 62.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.2 | AdjD 62.1 More โ†’ 0.715 (#24) AdjO 72.2 | AdjD 62.1
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†’ 0.803 (#33) 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†’ 0.798 (#31) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 108 | GP 35 More โ†’ 1196 (#52) RD 108 | GP 35

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-11 @ Marquette Golden Eagles L 71 - 95
2016-11-15 vs Belmont Bruins W 80 - 66
2016-11-18 vs Norfolk State Spartans W 75 - 52
2016-11-21 vs Bucknell Bison L 72 - 75
2016-11-24 @ Butler Bulldogs L 66 - 76
2016-11-25 vs Santa Clara Broncos W 76 - 66
2016-11-29 vs Tennessee State Tigers W 83 - 59
2016-12-03 @ Minnesota Golden Gophers L 52 - 56
2016-12-06 vs High Point Panthers W 90 - 63
2016-12-08 @ Middle Tennessee Blue Raiders L 48 - 71
2016-12-17 vs Chattanooga Mocs W 76 - 74
2016-12-21 @ Dayton Flyers L 63 - 68
2016-12-29 @ LSU Tigers W 96 - 89
2017-01-04 vs Auburn Tigers W 80 - 61
2017-01-07 @ Alabama Crimson Tide L 56 - 59
2017-01-10 vs Kentucky Wildcats L 81 - 87
2017-01-14 vs Tennessee Volunteers L 75 - 87
2017-01-17 @ Georgia Bulldogs L 68 - 76
2017-01-21 @ Florida Gators W 68 - 66
2017-01-24 vs Arkansas Razorbacks L 70 - 71
2017-01-28 vs Iowa State Cyclones W 84 - 78
2017-01-31 @ Texas A&M Aggies W 68 - 54
2017-02-04 vs Ole Miss Rebels L 74 - 81
2017-02-07 @ Arkansas Razorbacks W 72 - 59
2017-02-11 @ Missouri Tigers L 52 - 72
2017-02-16 vs Texas A&M Aggies W 72 - 67
2017-02-18 vs South Carolina Gamecocks W 71 - 62
2017-02-22 @ Tennessee Volunteers W 67 - 56
2017-02-25 vs Mississippi State Bulldogs W 77 - 48
2017-02-28 @ Kentucky Wildcats L 67 - 73
2017-03-04 vs Florida Gators W 73 - 71
2017-03-09 vs Texas A&M Aggies W 66 - 41
2017-03-10 @ Florida Gators W 72 - 62
2017-03-11 @ Arkansas Razorbacks L 62 - 76
2017-03-16 @ Northwestern Wildcats L 66 - 68

2017 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%
Matthew Fisher-Davis Matthew Fisher-Davis G 25 27.9 14.4 3.4 1.0 0.6 0.3 1.3 4.8 13.7 97 33 2.9 4.6 37.2 29.1 80.6 1.48 131.9 46.7
Luke Kornet Luke Kornet F 25 31.3 12.8 6.3 1.1 0.6 2.0 1.2 5.1 16.5 198 34 5.8 7.9 41.4 32.8 86.8 6.16 110.9 49.6
Riley LaChance Riley LaChance G 25 30.1 10.9 3.5 4.2 0.7 0.0 1.9 4.1 13.3 105 34 3.1 4.3 46.1 50.0 87.1 0.63 118.0 59.3
Jeff Roberson Jeff Roberson F 25 31.7 10.4 7.0 1.6 0.8 0.5 1.7 3.4 15.2 123 34 3.6 4.9 43.0 21.4 80.9 3.03 122.3 46.5
Nolan Cressler Nolan Cressler G 25 22.8 7.2 4.1 1.6 0.6 0.0 1.2 3.3 8.9 10 34 0.3 0.5 48.2 25.0 81.2 -2.19 99.4 52.4
Joe Toye Joe Toye G 25 21.4 6.5 2.7 1.1 0.4 0.2 1.1 2.5 7.3 27 34 0.8 1.6 38.7 40.0 56.2 0.94 107.1 48.4
Payton Willis Payton Willis G 25 18.2 5.6 1.8 2.0 0.4 0.2 1.7 1.8 6.4 -5 34 -0.1 -0.4 51.1 36.4 80.0 -2.78 140.7 60.0
Djery Baptiste Djery Baptiste C 25 8.4 1.8 2.1 0.0 0.0 0.4 0.8 0.7 2.9 -99 34 -2.9 -15.8 29.4 0 40.0 -5.76 119.8 29.4
Camron Justice Camron Justice G 6 7.7 1.7 0.7 0.7 0.3 0.0 0.5 0.3 2.5 -6 7 -0.9 -4.1 0.0 0.0 50.0 -0.89 173.6 0.0
Clevon Brown Clevon Brown F 25 7.4 1.2 1.4 0.0 0.0 0.4 0.5 0.5 2.1 -46 33 -1.4 -8.0 23.1 28.6 60.0 -1.86 102.0 30.8
Phillip McGloin Phillip McGloin G 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 -0.68 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