๐Ÿปโฌ‡๏ธ๐Ÿ€

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

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 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