Pittsburgh - 2017 | Sports Data

2017 Team Stats (11 games)

68.3

PPG

77.2

Opp

-8.9

Margin

42.9%

FG%

34.5%

3P%

71.3%

FT%

31.5

RPG

12.1

APG

11.9

TO

73.8

Pace

Model Outputs

2016-2017

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 →	1448 (#72)	-
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More →	1360 (#99)	-
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More →	+31.6 (#81)	HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More →	0.210 (#67)	-
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -13.3 More →	0.196 (#68)	NetEff -13.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +1.9 More →	0.555 (#53)	AdjNet +1.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +1.7 More →	0.550 (#56)	AdjNet +1.7

2017 Schedule & Results

Date	Vs/At	Opponent	Result	Score
2016-12-31	vs	Notre Dame Fighting Irish	L	77 - 78
2017-01-04	vs	Virginia Cavaliers	W	88 - 76
2017-01-11	@	Louisville Cardinals	L	80 - 85
2017-01-24	vs	Louisville Cardinals	L	51 - 106
2017-01-31	@	North Carolina Tar Heels	L	78 - 80
2017-02-04	@	Duke Blue Devils	L	64 - 72
2017-02-18	vs	Florida State Seminoles	W	80 - 66
2017-02-25	vs	North Carolina Tar Heels	L	67 - 85
2017-03-04	@	Virginia Cavaliers	L	42 - 67
2017-03-07	@	Georgia Tech Yellow Jackets	W	61 - 59
2017-03-08	@	Virginia Cavaliers	L	63 - 75

2017 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. Artis	F	11	35.6	18.3	4.8	2.8	0.2	0.3	2.1	12.7	11.5	-	-	-	47.9	42.5	73.5	-	62.2	58.9
M. Young	F	11	34.9	17.2	6.1	3.1	0.9	0.6	2.2	13.7	12.0	-	-	-	41.7	29.4	68.6	-	52.0	46.7
C. Johnson	-	11	34.0	10.5	3.8	1.5	1.4	0.5	1.2	7.8	8.6	44	3.7	4.3	43.0	36.8	74.1	1.06	58.7	55.2
S. Jeter	F	11	26.6	8.4	6.1	1.6	0.5	0.6	1.1	6.3	9.9	-	-	-	52.2	40.6	58.3	-	61.9	61.6
C. Jones	G	11	31.9	7.5	2.5	1.8	0.5	0.1	1.9	5.1	5.3	-1	-0.1	-0.3	44.6	38.9	80.6	0.16	58.9	50.9
R. Luther	F	6	17.3	4.0	3.2	0.5	0.0	0.5	2.5	2.8	2.8	-	-	-	47.1	33.3	75.0	-	58.5	52.9
R. Nix	F	8	9.2	2.2	3.0	0.1	0.0	0.2	0.2	1.6	3.8	-	-	-	46.2	0	66.7	-	53.1	46.2
J. Milligan	G	9	9.0	1.3	0.2	0.4	0.0	0.0	0.6	1.8	-0.3	-	-	-	18.8	23.1	75.0	-	33.8	28.1
D. Wilson	G	9	8.8	1.1	0.6	0.0	0.1	0.1	0.6	1.8	-0.4	-	-	-	25.0	0.0	40.0	-	27.5	25.0
C. Manigault	F	6	4.8	1.0	1.0	0.0	0.0	0.0	0.0	1.5	0.5	-	-	-	11.1	0.0	100.0	-	27.9	11.1
J. Kithcart	G	7	11.4	0.3	0.7	0.7	0.3	0.1	0.6	0.9	0.7	-	-	-	0.0	0.0	50.0	-	12.9	0.0
Z. Smith	G	5	1.8	0.0	0.4	0.0	0.0	0.0	0.0	0.8	-0.4	-	-	-	0.0	0.0	0	-0.1	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