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Vanderbilt

Also known as: Vanderbilt Commodores, Vanderbilt
Program History

2018 Team Stats (3 games)

71.0
PPG
79.3
Opp
-8.3
Margin
43.9%
FG%
34.3%
3P%
73.6%
FT%
35.7
RPG
11.3
APG
12.0
TO
-
Est. poss./game
75.1
Adj PPG
68.8
Adj Opp PPG
#87
Scoring Rank

Model Outputs

2017-2018
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†’ 1103 (#109) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1040 (#148) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More โ†’ 961 (#231) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ +7.3 (#83) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More โ†’ +6.6 (#88) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.437 (#209) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +10.7 More โ†’ 0.775 (#80) AdjNet +10.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +10.9 More โ†’ 0.779 (#79) AdjNet +10.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 75.1 | AdjD 68.8 More โ†’ 0.639 (#87) AdjO 75.1 | AdjD 68.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.8 | AdjD 72.3 More โ†’ 0.535 (#132) AdjO 73.8 | AdjD 72.3
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†’ 0.626 (#106) 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†’ 0.605 (#110) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 135 | GP 32 More โ†’ 1053 (#131) RD 135 | GP 32

2018 Schedule & Results

Date Vs/At Opponent Result Score
2017-11-10 vs Austin Peay Governors W 73 - 54
2017-11-13 @ Belmont Bruins L 60 - 69
2017-11-17 vs UNC Asheville Bulldogs W 79 - 76
2017-11-19 vs USC Trojans L 89 - 93
2017-11-23 vs Virginia Cavaliers L 42 - 68
2017-11-24 @ Seton Hall Pirates L 59 - 72
2017-11-28 vs Radford Highlanders W 74 - 62
2017-12-03 vs Kansas State Wildcats L 79 - 84
2017-12-06 vs Middle Tennessee Blue Raiders L 63 - 66
2017-12-17 @ Arizona State Sun Devils L 64 - 76
2017-12-20 vs Houston Christian Huskies W 81 - 48
2017-12-22 vs Alcorn State Braves W 92 - 51
2017-12-30 @ Florida Gators L 74 - 81
2018-01-02 vs Alabama Crimson Tide W 76 - 75
2018-01-06 @ South Carolina Gamecocks L 60 - 71
2018-01-09 vs Tennessee Volunteers L 84 - 92
2018-01-13 vs Kentucky Wildcats L 67 - 74
2018-01-16 @ Mississippi State Bulldogs L 62 - 80
2018-01-20 vs LSU Tigers W 77 - 71
2018-01-23 @ Tennessee Volunteers L 62 - 67
2018-01-27 vs TCU Horned Frogs W 81 - 78
2018-01-30 @ Kentucky Wildcats L 81 - 83
2018-02-03 @ Auburn Tigers L 81 - 93
2018-02-07 vs Georgia Bulldogs W 81 - 66
2018-02-10 @ Arkansas Razorbacks L 54 - 72
2018-02-14 vs Mississippi State Bulldogs W 81 - 80
2018-02-17 vs Florida Gators W 71 - 68
2018-02-20 @ LSU Tigers L 78 - 88
2018-02-24 vs Texas A&M Aggies L 81 - 89
2018-02-27 vs Missouri Tigers L 66 - 74
2018-03-03 @ Ole Miss Rebels W 82 - 69
2018-03-07 @ Georgia Bulldogs L 62 - 78

2018 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%
Jeff Roberson Jeff Roberson F 28 34.6 17.1 6.8 1.5 0.9 0.4 1.2 5.1 20.4 -2 28 -0.1 -0.1 42.7 32.3 86.6 1.39 139.1 49.7
Riley LaChance Riley LaChance G 28 32.0 14.4 3.2 3.4 0.5 0.0 1.3 4.9 15.3 18 27 0.7 0.9 39.9 38.2 60.0 3.01 134.9 50.4
Matthew Fisher-Davis Matthew Fisher-Davis G 14 28.0 12.5 4.9 1.4 1.2 0.4 1.1 3.6 15.6 11 14 0.8 1.3 35.3 31.2 81.0 -0.74 145.3 45.1
Saben Lee Saben Lee - 28 26.6 10.5 3.1 2.9 1.2 0.1 2.2 3.8 11.9 -10 27 -0.4 -0.6 47.2 25.9 65.0 0.58 119.3 50.5
Joe Toye Joe Toye G 28 19.5 5.8 2.0 0.9 0.3 0.3 1.2 2.5 5.6 7 28 0.2 0.6 38.6 21.4 60.0 0.43 109.5 42.9
Payton Willis Payton Willis G 28 18.2 5.0 1.8 1.4 0.4 0.1 0.9 1.7 6.0 23 28 0.8 1.9 31.2 29.4 100.0 1.52 140.9 41.7
Maxwell Evans Maxwell Evans NA 26 12.5 3.9 1.8 0.5 0.3 0.0 0.8 1.4 4.4 6 24 0.2 0.8 37.8 45.0 84.2 -0.68 112.4 50.0
Clevon Brown Clevon Brown F 28 17.4 3.8 3.2 0.2 0.2 1.4 0.9 1.4 6.5 -16 28 -0.6 -1.5 52.5 42.9 45.5 -2.04 119.3 60.0
Djery Baptiste Djery Baptiste C 25 14.6 3.0 3.5 0.2 0.1 0.9 0.8 0.5 6.3 28 24 1.2 3.3 53.8 0 77.8 1.2 179.3 53.8
Larry Austin Larry Austin G 19 11.2 2.8 1.5 1.1 0.2 0.1 0.6 1.4 3.7 2 18 0.1 0.5 50.0 0 66.7 -1.47 82.8 50.0
Ejike Obinna Ejike Obinna - 22 9.1 2.5 1.9 0.0 0.0 0.0 0.5 0.8 3.2 -11 20 -0.6 -2.6 41.2 0 60.0 -1.75 126.2 41.2
Isaiah Rice Isaiah Rice NA 2 3.0 0.5 0.0 0.0 0.0 0.0 1.0 0.0 -0.5 - - - - 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