Clemson - 2016 | Sports Data

2016 Team Stats (9 games)

68.9

PPG

68.3

Opp

+0.2

Margin

43.4%

FG%

36.5%

3P%

73.7%

FT%

31.2

RPG

12.9

APG

10.7

TO

73.4

Pace

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 →	1797 (#9)	-
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More →	1456 (#63)	-
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More →	+36.0 (#39)	HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More →	0.427 (#48)	-
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -2.6 More →	0.427 (#39)	NetEff -2.6
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +11.0 More →	0.779 (#25)	AdjNet +11.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +11.0 More →	0.781 (#25)	AdjNet +11.0

2016 Schedule & Results

Date	Vs/At	Opponent	Result	Score
2015-11-15	vs	UTSA Roadrunners	W	78 - 45
2015-11-23	vs	UMass Minutemen	L	65 - 82
2015-12-18	vs	South Carolina Gamecocks	L	59 - 65
2015-12-30	@	North Carolina Tar Heels	L	69 - 80
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
2016-03-01	vs	Virginia Cavaliers	L	57 - 64
2016-03-09	vs	Georgia Tech Yellow Jackets	L	85 - 88

2016 Roster

Show Alumni

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/G	PM/40	FG%	3P%	FT%	RAPM	TS%	eFG%
J. Blossomgame	F	10	35.1	19.6	6.7	1.8	0.8	1.4	1.7	11.7	16.9	7	0.8	0.9	50.4	48.1	81.0	1.11	68.8	56.0
D. Grantham	F	10	33.7	10.5	3.7	1.3	0.7	0.5	1.0	8.5	7.2	22	2.4	3.7	43.5	44.2	85.7	0.96	59.6	57.1
J. Roper	G	10	34.9	9.0	1.8	3.8	1.5	0.0	1.2	8.0	6.9	7	1.0	1.4	40.0	32.3	73.7	0.85	50.9	46.2
A. Holmes	G	10	31.8	8.7	2.8	2.2	1.0	0.0	1.9	7.0	5.8	25	3.6	3.3	30.0	18.6	65.5	1.2	52.6	35.7
G. DeVoe	G	10	18.9	7.1	3.1	1.3	0.6	0.1	1.3	4.8	6.1	23	2.9	3.8	41.7	40.6	80.0	0.99	67.7	55.2
L. Nnoko	C	10	23.5	6.4	5.3	0.9	0.3	2.1	1.2	4.8	9.0	32	4.0	5.2	54.2	0	63.6	1.02	60.6	54.2
S. Djitte	C	10	14.9	4.9	5.2	0.3	0.9	0.8	1.0	2.5	8.6	-	-	-	52.0	0	67.7	-0.15	63.4	52.0
R. McGillan	G	1	3.0	3.0	0.0	0.0	0.0	0.0	0.0	1.0	2.0	-	-	-	100.0	100.0	0	-	150.0	150.0
T. Hudson	G	6	6.0	2.3	0.2	0.5	0.0	0.0	0.3	1.2	1.5	-	-	-	28.6	40.0	0.0	0.23	88.8	42.9
J. Smith	F	8	6.4	0.8	1.6	0.1	0.0	0.1	0.5	1.0	1.1	46	5.1	7.7	12.5	0.0	100.0	1.07	30.7	12.5
L. Davis	G	1	2.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	-	-	-	0	0	0	-	0	0
L. Robertin	C	1	5.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	-	-	-	0	0	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