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Clemson

Also known as: Clemson Tigers, Clemson
Program History

2016 Team Stats (9 games)

68.9
PPG
66.8
Opp
+2.1
Margin
43.4%
FG%
36.5%
3P%
73.7%
FT%
31.2
RPG
12.9
APG
10.7
TO
-
Est. poss./game
71.2
Adj PPG
61.3
Adj Opp PPG
#52
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†’ 1190 (#71) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1094 (#111) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +98 elo More โ†’ 990 (#182) HCA +98 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ +10.9 (#50) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ +12.1 (#44) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.708 (#69) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +17.5 More โ†’ 0.883 (#42) AdjNet +17.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +17.7 More โ†’ 0.886 (#42) AdjNet +17.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 71.2 | AdjD 61.3 More โ†’ 0.710 (#52) AdjO 71.2 | AdjD 61.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.5 | AdjD 65.2 More โ†’ 0.639 (#58) AdjO 71.5 | AdjD 65.2
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†’ 0.725 (#59) 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†’ 0.712 (#60) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 136 | GP 31 More โ†’ 1118 (#97) RD 136 | GP 31

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-13 vs North Carolina Central Eagles W 74 - 40
2015-11-15 vs UTSA Roadrunners W 78 - 45
2015-11-19 vs Texas Southern Tigers W 76 - 56
2015-11-23 vs Massachusetts Minutemen L 65 - 82
2015-11-25 @ Rutgers Scarlet Knights W 76 - 58
2015-11-30 @ Minnesota Golden Gophers L 83 - 89
2015-12-02 vs South Carolina Upstate Spartans W 76 - 56
2015-12-06 vs Wofford Terriers W 66 - 51
2015-12-13 vs Alabama Crimson Tide L 50 - 51
2015-12-15 vs Presbyterian Blue Hose W 69 - 41
2015-12-18 vs South Carolina Gamecocks L 59 - 65
2015-12-22 @ Georgia Bulldogs L 48 - 71
2015-12-30 @ North Carolina Tar Heels L 69 - 80
2016-01-02 vs Florida State Seminoles W 84 - 75
2016-01-05 @ Syracuse Orange W 74 - 73
2016-01-10 vs Louisville Cardinals W 66 - 62
2016-01-13 vs Duke Blue Devils W 68 - 63
2016-01-16 vs Miami Hurricanes W 76 - 65
2016-01-19 @ Virginia Cavaliers L 62 - 69
2016-01-27 vs Pittsburgh Panthers W 73 - 60
2016-01-30 @ Florida State Seminoles L 65 - 76
2016-02-02 @ Wake Forest Demon Deacons W 76 - 62
2016-02-06 @ Virginia Tech Hokies L 57 - 60
2016-02-08 vs Notre Dame Fighting Irish L 83 - 89
2016-02-13 vs Georgia Tech Yellow Jackets W 66 - 52
2016-02-17 vs Boston College Eagles W 65 - 54
2016-02-20 @ NC State Wolfpack L 74 - 77
2016-02-23 @ Georgia Tech Yellow Jackets L 73 - 75
2016-03-01 vs Virginia Cavaliers L 57 - 64
2016-03-05 @ Boston College Eagles W 66 - 50
2016-03-09 vs Georgia Tech Yellow Jackets L 85 - 88

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%
Jaron Blossomgame Jaron Blossomgame F 28 33.6 18.4 6.6 1.5 0.7 1.4 1.6 4.8 22.2 8 14 0.6 0.7 51.9 48.5 82.8 -2.26 160.1 57.9
Avry Holmes Avry Holmes G 28 30.8 10.6 2.8 2.6 1.2 0.0 1.4 3.1 12.7 36 14 2.6 3.4 36.8 23.1 68.6 3.42 144.5 43.7
Donte Grantham Donte Grantham F 28 32.0 10.4 4.0 2.2 1.1 0.5 1.4 3.6 13.2 19 14 1.4 1.7 40.2 41.5 88.9 1.3 137.8 53.4
Jordan Roper Jordan Roper G 28 33.4 8.8 2.7 3.6 1.3 0.1 1.1 3.2 12.2 12 14 0.9 1.1 40.4 34.2 75.0 1.5 126.3 47.8
Landry Nnoko Landry Nnoko C 28 22.5 7.8 5.8 0.8 0.2 2.3 1.5 2.1 13.2 20 14 1.4 2.6 48.3 0 70.6 1.83 160.8 48.3
Gabe DeVoe Gabe DeVoe G 28 19.1 5.2 2.9 1.4 0.5 0.1 1.1 2.2 6.9 -15 14 -1.1 -2.3 39.3 41.0 78.6 -1.15 108.0 52.5
Sidy Djitte Sidy Djitte C 28 14.9 4.9 5.1 0.3 0.6 0.6 0.9 1.0 9.6 26 14 1.9 5.3 57.1 0 64.9 1.93 154.7 57.1
Ty Hudson Ty Hudson G 21 8.0 2.6 0.3 0.5 0.2 0.0 0.2 1.0 2.5 -35 11 -3.2 -22.0 35.0 35.7 50.0 -5.58 126.4 47.5
Riley McGillan Riley McGillan G 6 2.0 1.2 0.0 0.2 0.0 0.0 0.2 0.2 1.0 - - - - 100.0 100.0 0 -2.15 350.0 150.0
Josh Smith Josh Smith F 24 7.7 1.1 1.9 0.1 0.2 0.1 0.4 0.6 2.2 -29 12 -2.4 -14.0 40.0 50.0 100.0 -3.6 77.6 43.3
Legend Robertin Legend Robertin C 9 4.3 0.7 0.7 0.0 0.1 0.3 0.2 0.2 1.3 - - - - 100.0 0 0.0 -3.98 123.0 100.0
Lyles Davis Lyles Davis G 5 1.4 0.0 0.0 0.4 0.0 0.0 0.0 0.0 0.4 - - - - 0 0 0.0 -1.8 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