Pittsburgh - 2019 | Sports Data

2019 Team Stats (9 games)

65.6

PPG

72.3

Opp

-4.9

Margin

41.1%

FG%

33.7%

3P%

75.5%

FT%

33.7

RPG

9.8

APG

14.7

TO

75.9

Pace

Model Outputs

2018-2019

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 →	1388 (#75)	-
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More →	1333 (#101)	-
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More →	+32.4 (#74)	HCA +2.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More →	0.256 (#67)	-
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -9.4 More →	0.254 (#56)	NetEff -9.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +4.3 More →	0.622 (#53)	AdjNet +4.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +4.4 More →	0.625 (#53)	AdjNet +4.4

2019 Schedule & Results

Date	Vs/At	Opponent	Result	Score
2018-11-12	vs	Troy Trojans	W	84 - 75
2018-11-27	@	Iowa Hawkeyes	L	68 - 69
2019-01-12	@	NC State Wolfpack	L	80 - 86
2019-01-14	vs	Florida State Seminoles	W	75 - 62
2019-01-22	vs	Duke Blue Devils	L	64 - 79
2019-01-26	@	Louisville Cardinals	L	51 - 66
2019-02-16	vs	Virginia Tech Hokies	L	64 - 70
2019-03-02	@	Virginia Cavaliers	L	49 - 73
2019-03-12	@	Boston College Eagles	W	80 - 70
2019-03-13	@	Syracuse Orange	L	59 - 73

2019 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%
X. Johnson	-	10	32.8	14.1	3.5	4.0	1.0	0.3	4.8	10.0	8.1	-	-	-	40.0	21.1	76.4	-	56.8	42.0
J. Wilson-Frame	G	10	28.0	13.1	4.9	1.1	0.8	0.0	1.2	8.5	10.2	-	-	-	40.0	37.1	88.9	-	70.5	53.5
T. McGowens	G	10	31.2	12.2	3.2	2.4	1.6	0.1	2.2	7.6	9.7	-	-	-	43.4	37.0	82.9	-	64.9	50.0
A. Toney	G	10	25.8	6.6	4.2	0.8	0.3	0.1	1.0	6.2	4.8	-	-	-	37.1	33.3	63.2	-	46.9	41.9
T. Brown	F	10	20.1	6.0	5.3	0.4	0.3	1.9	1.4	4.1	8.4	26	1.4	1.9	41.5	0.0	66.7	1.22	59.7	41.5
S. N'Dir	G	10	19.3	5.5	2.0	1.4	0.8	0.4	1.2	4.2	4.7	-	-	-	40.5	29.4	69.6	-	52.8	46.4
K. Chukwuka	F	9	17.3	4.9	3.6	0.0	0.0	0.2	0.6	2.0	6.1	-	-	-	55.6	50.0	66.7	-	89.4	58.3
M. Ellison	G	10	17.0	3.2	3.0	0.6	0.6	0.2	1.2	2.3	4.1	17	1.5	4.4	34.8	25.0	90.0	0.67	58.4	37.0
K. Davis	G	7	13.1	2.9	2.0	0.0	0.4	0.3	0.4	1.6	3.6	53	4.8	10.4	54.5	50.0	66.7	1.3	73.3	72.7
A. Starzynski	G	2	1.5	1.5	0.5	0.0	0.0	0.0	0.0	1.0	1.0	-	-	-	50.0	50.0	0	-	75.0	75.0
S. George	F	1	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	-	-	-	0	0	0	-	0	0
P. Ilegomah	C	1	5.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	-1.0	-	-	-	0	0	0	-	0	0
O. Ezeakudo	-	1	2.0	0.0	1.0	1.0	0.0	0.0	0.0	0.0	2.0	-	-	-	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