Pittsburgh - 2016 | Sports Data

2016 Team Stats (13 games)

67.9

PPG

68.2

Opp

-0.3

Margin

44.7%

FG%

36.8%

3P%

73.8%

FT%

34.6

RPG

13.2

APG

12.3

TO

74.9

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 →	1470 (#71)	-
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More →	1374 (#97)	-
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More →	+31.8 (#77)	HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More →	0.490 (#39)	-
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -4.7 More →	0.376 (#48)	NetEff -4.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +6.7 More →	0.683 (#44)	AdjNet +6.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +6.6 More →	0.682 (#45)	AdjNet +6.6

2016 Schedule & Results

Date	Vs/At	Opponent	Result	Score
2015-12-11	vs	Eastern Washington Eagles	W	84 - 51
2016-01-06	vs	Georgia Tech Yellow Jackets	W	89 - 84
2016-01-09	@	Notre Dame Fighting Irish	W	86 - 82
2016-01-14	@	Louisville Cardinals	L	41 - 59
2016-01-16	vs	Boston College Eagles	W	84 - 61
2016-02-06	vs	Virginia Cavaliers	L	50 - 64
2016-02-09	@	Miami Hurricanes	L	63 - 65
2016-02-14	@	North Carolina Tar Heels	L	64 - 85
2016-02-24	vs	Louisville Cardinals	L	60 - 67
2016-02-28	vs	Duke Blue Devils	W	76 - 62
2016-03-09	vs	Syracuse Orange	W	72 - 71
2016-03-10	@	North Carolina Tar Heels	L	71 - 88
2016-03-18	@	Wisconsin Badgers	L	43 - 47

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%
M. Young	F	13	28.2	14.4	5.5	2.2	0.4	0.5	2.6	10.6	9.7	-39	-3.0	-3.7	50.0	20.0	73.8	1.18	56.1	50.4
J. Artis	F	13	32.1	14.1	4.8	2.3	0.7	0.1	2.3	10.6	9.0	-25	-2.5	-3.1	44.2	42.9	81.0	1.02	58.5	54.0
J. Robinson	G	13	33.6	9.0	3.5	4.4	1.0	0.0	1.5	9.5	6.8	-20	-4.0	-4.0	33.1	30.2	75.9	1.3	42.8	38.3
S. Jeter	F	13	20.1	7.5	3.6	0.6	0.5	0.6	0.8	5.4	6.6	-28	-2.8	-3.5	54.3	25.0	76.9	1.0	60.2	55.7
C. Johnson	-	13	12.5	5.4	1.8	0.3	0.2	0.0	0.5	4.5	2.6	45	3.8	6.0	42.4	36.4	80.0	1.14	55.2	52.5
R. Luther	F	13	13.2	5.3	2.4	0.4	0.5	0.2	0.8	3.5	4.5	-15	-2.5	-3.3	62.2	71.4	72.7	0.63	69.2	67.8
C. Jones	G	13	17.7	5.2	2.1	0.8	0.3	0.2	0.8	4.4	3.3	15	2.5	3.3	43.9	31.6	64.7	0.78	52.0	49.1
D. Wilson	G	11	11.3	2.7	0.9	1.5	0.4	0.0	0.9	2.5	2.1	39	5.6	7.1	29.6	25.0	85.7	0.91	45.2	33.3
S. Smith	G	13	14.1	2.3	2.2	0.5	0.3	0.1	0.5	2.1	2.7	9	0.7	1.1	37.0	41.2	75.0	1.01	52.2	50.0
R. Maia	F	13	13.1	2.1	4.2	0.6	0.4	0.2	0.5	1.5	5.4	21	4.2	7.0	55.0	0	50.0	0.44	55.3	55.0
A. Nelson-Ododa	F	11	6.5	0.5	1.0	0.0	0.0	0.7	0.4	0.5	1.4	-	-	-	40.0	0	20.0	-	34.7	40.0
M. Lecak	G	3	1.3	0.0	0.0	0.0	0.0	0.0	0.7	0.3	-1.0	-	-	-	0.0	0.0	0	-	0.0	0.0
R. Seelye	F	1	2.0	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