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Clemson

Also known as: Clemson Tigers, Clemson
Program History

2015 Team Stats (9 games)

58.9
PPG
69.6
Opp
-10.7
Margin
39.3%
FG%
28.4%
3P%
74.2%
FT%
34.4
RPG
11.2
APG
11.8
TO
-
Est. poss./game
62.9
Adj PPG
57.1
Adj Opp PPG
#81
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†’ 1110 (#103) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1085 (#102) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +90 elo More โ†’ 977 (#201) HCA +90 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ +6.6 (#78) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More โ†’ +6.6 (#73) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.525 (#157) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +11.0 More โ†’ 0.780 (#77) AdjNet +11.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +11.2 More โ†’ 0.785 (#76) AdjNet +11.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 62.9 | AdjD 57.1 More โ†’ 0.630 (#81) AdjO 62.9 | AdjD 57.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.1 | AdjD 60.9 More โ†’ 0.549 (#127) AdjO 63.1 | AdjD 60.9
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†’ 0.636 (#94) 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†’ 0.620 (#101) 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 31 More โ†’ 1102 (#98) RD 135 | GP 31

2015 Schedule & Results

Date Vs/At Opponent Result Score
2014-11-14 vs Florida A&M Rattlers W 86 - 41
2014-11-17 vs Winthrop Eagles L 74 - 77
2014-11-21 @ Gardner-Webb Runnin' Bulldogs L 70 - 72
2014-11-22 @ Nevada Wolf Pack W 59 - 50
2014-11-24 @ LSU Tigers W 64 - 61
2014-11-28 vs High Point Panthers W 62 - 59
2014-12-01 vs Rutgers Scarlet Knights L 64 - 69
2014-12-07 vs Arkansas Razorbacks W 68 - 65
2014-12-14 vs Auburn Tigers W 72 - 61
2014-12-19 @ South Carolina Gamecocks L 45 - 68
2014-12-22 vs Oakland Golden Grizzlies W 70 - 60
2014-12-30 vs Robert Morris Colonials W 64 - 57
2015-01-03 vs North Carolina Tar Heels L 50 - 74
2015-01-07 @ Louisville Cardinals L 52 - 58
2015-01-10 @ Pittsburgh Panthers W 71 - 62
2015-01-13 @ Virginia Cavaliers L 42 - 65
2015-01-17 vs Syracuse Orange W 66 - 53
2015-01-19 vs Florida State Seminoles L 55 - 59
2015-01-24 vs Wake Forest Demon Deacons W 59 - 57
2015-01-28 @ NC State Wolfpack W 68 - 57
2015-01-31 vs Boston College Eagles W 64 - 49
2015-02-04 @ Florida State Seminoles W 62 - 56
2015-02-08 @ Miami Hurricanes L 45 - 56
2015-02-10 vs Notre Dame Fighting Irish L 58 - 60
2015-02-14 vs Virginia Tech Hokies W 75 - 54
2015-02-16 @ Georgia Tech Yellow Jackets L 52 - 63
2015-02-21 @ Duke Blue Devils L 56 - 78
2015-02-28 vs Georgia Tech Yellow Jackets W 70 - 63
2015-03-03 vs NC State Wolfpack L 61 - 66
2015-03-07 @ Notre Dame Fighting Irish L 67 - 81
2015-03-11 vs Florida State Seminoles L 73 - 76

2015 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%
Jaron Blossomgame Jaron Blossomgame F 29 30.7 12.7 8.3 1.0 0.7 0.4 1.7 5.1 16.2 -16 24 -0.7 -1.0 46.3 22.6 67.1 -2.07 102.1 48.7
Rod Hall Rod Hall G 29 34.1 9.4 2.3 3.3 0.9 0.2 2.1 3.9 10.1 42 24 1.8 2.3 41.6 36.7 75.9 4.11 98.5 46.5
Donte Grantham Donte Grantham F 29 29.3 8.6 4.5 1.6 0.8 1.0 1.7 4.8 10.1 26 24 1.1 1.6 36.2 26.0 44.8 -0.73 82.6 43.1
Damarcus Harrison Damarcus Harrison G 29 24.8 8.4 3.1 1.2 0.6 0.2 1.4 3.7 8.3 2 24 0.1 0.1 44.3 40.4 50.0 0.46 106.7 54.2
Landry Nnoko Landry Nnoko C 29 24.8 7.5 5.4 0.7 0.2 2.1 1.6 3.0 11.3 61 24 2.5 4.7 52.3 0 67.7 2.83 107.2 52.3
Jordan Roper Jordan Roper G 29 18.8 6.4 1.4 1.4 0.6 0.1 1.2 3.3 5.6 2 24 0.1 0.2 28.4 20.5 75.0 -0.06 88.6 32.6
Austin Ajukwa Austin Ajukwa G 28 12.2 3.1 1.9 0.4 0.7 0.1 0.6 1.5 4.1 -31 22 -1.4 -5.2 35.7 25.0 80.0 -2.5 98.4 40.5
Gabe DeVoe Gabe DeVoe G 19 8.5 2.3 0.9 0.5 0.4 0.0 0.2 1.8 2.1 20 16 1.2 5.6 26.5 30.0 33.3 2.41 60.9 35.3
Josh Smith Josh Smith F 29 9.3 2.2 2.6 0.1 0.1 0.2 0.6 0.6 4.1 -19 24 -0.8 -4.0 41.2 0 62.5 -1.43 135.2 41.2
Sidy Djitte Sidy Djitte C 28 10.8 2.1 3.0 0.1 0.2 0.5 0.5 0.8 4.8 -30 23 -1.3 -4.9 47.6 0 64.7 -0.53 101.8 47.6
Patrick Rooks Patrick Rooks G 11 4.5 1.8 0.3 0.5 0.3 0.0 0.0 0.8 2.0 23 11 2.1 20.2 22.2 25.0 0 2.14 111.1 33.3
Riley McGillan Riley McGillan G 7 1.7 0.3 0.3 0.0 0.1 0.0 0.0 0.4 0.3 0 6 0.0 0.0 0.0 0.0 0 -0.84 33.3 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