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Tennessee

Also known as: Tennessee Volunteers, Tennessee
Program History

2016 Team Stats (8 games)

80.6
PPG
77.5
Opp
+3.1
Margin
45.2%
FG%
37.9%
3P%
79.6%
FT%
34.6
RPG
13.5
APG
11.3
TO
-
Est. poss./game
75.9
Adj PPG
69.5
Adj Opp PPG
#88
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†’ 1088 (#123) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1040 (#144) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +98 elo More โ†’ 955 (#240) HCA +98 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ +7.2 (#83) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ +5.0 (#110) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.498 (#174) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +10.2 More โ†’ 0.763 (#87) AdjNet +10.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +10.3 More โ†’ 0.767 (#87) AdjNet +10.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 75.9 | AdjD 69.5 More โ†’ 0.642 (#88) AdjO 75.9 | AdjD 69.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.8 | AdjD 70.8 More โ†’ 0.525 (#146) AdjO 71.8 | AdjD 70.8
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†’ 0.620 (#112) 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†’ 0.597 (#123) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 124 | GP 34 More โ†’ 1054 (#132) RD 124 | GP 34

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-13 vs UNC Asheville Bulldogs W 82 - 78
2015-11-16 @ Georgia Tech Yellow Jackets L 67 - 69
2015-11-19 vs Marshall Thundering Herd W 84 - 74
2015-11-22 vs Gardner-Webb Runnin' Bulldogs W 89 - 64
2015-11-24 vs Army Black Knights W 95 - 80
2015-11-27 vs George Washington Revolutionaries L 70 - 73
2015-11-28 @ Nebraska Cornhuskers L 71 - 82
2015-12-12 @ Butler Bulldogs L 86 - 94
2015-12-16 vs Florida Atlantic Owls W 81 - 62
2015-12-19 @ Gonzaga Bulldogs L 79 - 86
2015-12-22 vs East Tennessee State Buccaneers W 76 - 67
2015-12-29 vs Tennessee State Tigers W 74 - 69
2016-01-02 @ Auburn Tigers L 77 - 83
2016-01-06 vs Florida Gators W 83 - 69
2016-01-09 vs Texas A&M Aggies L 88 - 92
2016-01-13 @ Georgia Bulldogs L 72 - 81
2016-01-16 @ Mississippi State Bulldogs W 80 - 75
2016-01-20 vs Vanderbilt Commodores L 74 - 88
2016-01-23 vs South Carolina Gamecocks W 78 - 69
2016-01-26 @ Alabama Crimson Tide L 57 - 63
2016-01-30 @ TCU Horned Frogs L 63 - 75
2016-02-02 vs Kentucky Wildcats W 84 - 77
2016-02-06 @ Arkansas Razorbacks L 67 - 85
2016-02-09 vs Auburn Tigers W 71 - 45
2016-02-13 @ Missouri Tigers L 64 - 75
2016-02-18 @ Kentucky Wildcats L 70 - 80
2016-02-20 vs LSU Tigers W 81 - 65
2016-02-24 @ South Carolina Gamecocks L 58 - 84
2016-02-27 vs Arkansas Razorbacks L 65 - 75
2016-03-01 @ Vanderbilt Commodores L 69 - 86
2016-03-05 vs Ole Miss Rebels L 60 - 83
2016-03-09 vs Auburn Tigers W 97 - 59
2016-03-10 @ Vanderbilt Commodores W 67 - 65
2016-03-11 @ LSU Tigers L 75 - 84

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%
Kevin Punter Kevin Punter G 24 34.5 22.9 3.6 3.5 1.5 0.2 2.6 5.5 23.6 3 20 0.1 0.2 45.0 43.5 83.1 2.13 166.8 55.3
Armani Moore Armani Moore F 31 33.0 12.6 7.5 4.0 1.2 1.7 2.7 3.5 20.8 -16 24 -0.7 -0.9 44.0 28.6 62.7 0.97 148.7 45.9
Robert Hubbs Robert Hubbs G 27 27.0 10.4 4.0 1.3 0.4 0.0 0.7 3.1 12.3 -20 22 -0.9 -1.4 48.2 30.8 76.2 -1.52 149.1 50.6
Devon Baulkman Devon Baulkman G 31 27.7 8.9 3.5 1.7 1.1 0.4 1.3 2.3 12.1 33 25 1.3 2.0 35.2 28.3 94.1 3.04 176.5 44.4
Detrick Mostella Detrick Mostella G 31 19.5 8.2 2.3 1.3 0.3 0.1 1.4 2.7 8.1 -9 25 -0.4 -0.8 41.7 32.6 84.6 1.81 132.5 50.6
Admiral Schofield Admiral Schofield - 29 18.8 8.0 4.2 0.8 0.3 0.3 0.7 2.7 10.4 -59 23 -2.6 -6.0 54.5 37.9 85.0 -2.17 135.2 61.7
Shembari Phillips Shembari Phillips G 30 15.3 5.1 1.6 0.9 0.2 0.2 1.2 1.2 5.5 -61 24 -2.5 -7.2 44.4 41.2 84.6 -1.63 160.2 54.2
Jabari McGhee Jabari McGhee F 6 10.8 3.8 3.2 0.0 0.7 0.5 0.2 1.0 7.0 - - - - 50.0 0 75.0 - 148.2 50.0
Derek Reese Derek Reese F 31 19.0 3.4 5.4 0.8 0.5 0.6 0.5 1.1 9.2 29 25 1.2 2.5 45.5 50.0 68.8 1.99 131.1 53.0
Kyle Alexander Kyle Alexander F 29 12.1 1.7 2.9 0.1 0.1 1.0 0.5 0.2 5.1 -9 24 -0.4 -1.3 57.1 0 30.0 -0.12 210.5 57.1
Ray Kasongo Ray Kasongo F 19 5.5 1.4 1.5 0.1 0.1 0.3 0.3 0.2 2.8 -21 17 -1.2 -10.1 66.7 0 0 -3.74 433.3 66.7
Lucas Campbell Lucas Campbell G 3 2.0 1.0 0.3 0.0 0.0 0.0 0.0 1.0 0.3 - - - - 33.3 50.0 0 -1.8 50.0 50.0
Brad Woodson Brad Woodson G 7 5.4 0.6 0.7 0.4 0.1 0.0 0.3 0.1 1.4 -39 7 -5.6 -30.7 0.0 0 100.0 -4.33 106.4 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