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Tennessee

Also known as: Tennessee Volunteers, Tennessee
Program History

2015 Team Stats (7 games)

66.0
PPG
63.7
Opp
+2.3
Margin
42.5%
FG%
29.8%
3P%
67.1%
FT%
35.7
RPG
8.6
APG
10.7
TO
-
Est. poss./game
64.9
Adj PPG
59.3
Adj Opp PPG
#84
Scoring Rank

Model Outputs

2014-2015
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†’ 1144 (#77) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1084 (#104) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +90 elo More โ†’ 982 (#190) HCA +90 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ +6.5 (#80) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More โ†’ +6.4 (#77) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.458 (#189) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +10.2 More โ†’ 0.763 (#80) AdjNet +10.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +10.3 More โ†’ 0.767 (#80) AdjNet +10.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 64.9 | AdjD 59.3 More โ†’ 0.625 (#84) AdjO 64.9 | AdjD 59.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.3 | AdjD 61.0 More โ†’ 0.553 (#123) AdjO 63.3 | AdjD 61.0
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†’ 0.642 (#91) 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†’ 0.628 (#98) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 126 | GP 32 More โ†’ 1102 (#97) RD 126 | GP 32

2015 Schedule & Results

Date Vs/At Opponent Result Score
2014-11-14 @ VCU Rams L 69 - 85
2014-11-20 vs Texas Southern Tigers W 70 - 58
2014-11-27 vs Santa Clara Broncos W 64 - 57
2014-11-28 @ Kansas Jayhawks L 67 - 82
2014-11-30 @ Marquette Golden Eagles L 59 - 67
2014-12-06 vs Kansas State Wildcats W 65 - 64
2014-12-14 vs Butler Bulldogs W 67 - 55
2014-12-17 @ NC State Wolfpack L 72 - 83
2014-12-19 vs Tennessee Tech Golden Eagles W 61 - 58
2014-12-22 vs Mercer Bears W 64 - 54
2014-12-27 vs Tennessee State Tigers W 67 - 46
2014-12-31 vs East Tennessee State Buccaneers W 71 - 61
2015-01-07 @ Mississippi State Bulldogs W 61 - 47
2015-01-10 vs Alabama Crimson Tide L 38 - 56
2015-01-13 vs Arkansas Razorbacks W 74 - 69
2015-01-17 @ Missouri Tigers W 59 - 51
2015-01-20 @ South Carolina Gamecocks W 66 - 62
2015-01-24 vs Texas A&M Aggies L 61 - 67
2015-01-27 @ Arkansas Razorbacks L 64 - 69
2015-01-31 vs Auburn Tigers W 71 - 63
2015-02-03 vs Mississippi State Bulldogs L 66 - 71
2015-02-07 @ Georgia Bulldogs L 53 - 56
2015-02-11 @ Vanderbilt Commodores W 76 - 73
2015-02-14 vs LSU Tigers L 55 - 73
2015-02-17 vs Kentucky Wildcats L 48 - 66
2015-02-21 @ Ole Miss Rebels L 57 - 59
2015-02-26 vs Vanderbilt Commodores L 65 - 73
2015-02-28 @ Florida Gators L 49 - 66
2015-03-04 @ LSU Tigers W 78 - 63
2015-03-07 vs South Carolina Gamecocks L 49 - 60
2015-03-12 @ Vanderbilt Commodores W 67 - 61
2015-03-13 @ Arkansas Razorbacks L 72 - 80

2015 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%
Josh Richardson Josh Richardson G 29 36.2 16.4 4.6 3.5 2.1 0.4 2.7 6.7 17.7 17 28 0.6 0.7 49.0 43.1 74.6 5.47 108.0 55.4
Kevin Punter Kevin Punter G 29 31.3 10.8 2.1 1.9 1.7 0.2 1.8 4.9 10.0 -22 28 -0.8 -1.1 43.4 29.5 67.4 -0.06 95.9 49.7
Armani Moore Armani Moore F 29 31.2 10.3 7.0 2.2 1.4 1.2 2.1 4.3 15.8 76 28 2.7 3.9 44.8 22.2 63.9 6.12 95.4 45.6
Robert Hubbs Robert Hubbs G 29 24.6 7.2 2.9 0.8 0.4 0.1 0.7 3.8 7.1 -5 28 -0.2 -0.3 40.4 38.1 68.8 -0.94 90.1 47.7
Derek Reese Derek Reese F 29 25.0 5.8 5.3 0.9 0.7 0.3 1.0 2.5 9.4 10 28 0.4 0.6 39.7 27.3 70.0 0.85 96.9 43.8
Dominic Woodson Dominic Woodson F 1 11.0 5.0 0.0 0.0 1.0 0.0 0.0 4.0 2.0 - - - - 50.0 0 50.0 -1.61 51.2 50.0
Jabari McGhee Jabari McGhee F 8 12.9 4.4 3.8 0.0 0.4 0.1 0.4 1.6 6.6 -28 8 -3.5 -12.4 69.2 0 40.0 -2.57 100.6 69.2
Devon Baulkman Devon Baulkman G 28 14.7 4.2 2.2 0.6 0.5 0.1 0.7 2.2 4.8 -48 27 -1.8 -5.5 32.3 29.7 70.0 -2.99 84.0 41.1
Detrick Mostella Detrick Mostella G 29 11.6 3.4 0.8 0.5 0.3 0.0 1.0 2.2 1.8 -62 28 -2.2 -8.6 27.0 26.2 66.7 -4.96 75.4 35.7
Willie Carmichael Willie Carmichael F 29 14.5 2.9 2.3 0.4 0.2 0.4 0.9 1.2 4.1 -80 28 -2.9 -8.7 71.4 0 66.7 -5.65 99.8 71.4
Tariq Owens Tariq Owens F 24 8.1 1.3 1.2 0.1 0.1 0.5 0.5 0.7 2.1 -24 24 -1.0 -5.9 31.2 0 55.6 -1.88 80.2 31.2
Ian Chiles Ian Chiles G 2 3.0 1.0 0.5 0.0 0.0 0.0 0.0 1.0 0.5 - - - - 50.0 0.0 0 - 50.0 50.0
Galen Campbell Galen Campbell G 2 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 -1.56 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