Pittsburgh

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Also known as: Pittsburgh Panthers

Program History

Coach: Jamie Dixon

2015 Team Stats (7 games)

67.6

PPG

74.0

Opp

-6.4

Margin

46.7%

FG%

36.9%

3P%

63.3%

FT%

30.1

RPG

18.0

APG

9.4

Est. poss./game

67.4

Adj PPG

61.0

Adj Opp PPG

#74

Scoring Rank

Model Outputs

2014-2015

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 →	1117 (#95)	-
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More →	1103 (#90)	-
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +90 elo More →	980 (#194)	HCA +90 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More →	+7.2 (#74)	HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More →	+5.8 (#84)	HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More →	0.547 (#142)	-
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +12.8 More →	0.814 (#65)	AdjNet +12.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +13.0 More →	0.819 (#65)	AdjNet +13.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 67.4 \| AdjD 61.0 More →	0.642 (#74)	AdjO 67.4 \| AdjD 61.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.8 \| AdjD 64.0 More →	0.542 (#137)	AdjO 65.8 \| AdjD 64.0
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 →	0.652 (#87)	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 →	0.633 (#93)	Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 116 \| GP 33 More →	1111 (#90)	RD 116 \| GP 33

2015 Schedule & Results

Date	Vs/At	Opponent	Result	Score
2014-11-14	vs	Niagara Purple Eagles	W	78 - 45
2014-11-16	vs	Samford Bulldogs	W	63 - 56
2014-11-21	@	Hawai'i Rainbow Warriors	L	70 - 74
2014-11-24	@	Chaminade Silverswords	W	81 - 68
2014-11-25	@	San Diego State Aztecs	L	57 - 74
2014-11-26	vs	Kansas State Wildcats	W	70 - 47
2014-12-02	@	Indiana Hoosiers	L	69 - 81
2014-12-05	vs	Duquesne Dukes	W	76 - 62
2014-12-13	vs	St. Bonaventure Bonnies	W	58 - 54
2014-12-17	vs	Manhattan Jaspers	W	65 - 56
2014-12-20	vs	Oakland Golden Grizzlies	W	81 - 77
2014-12-23	vs	Holy Cross Crusaders	W	58 - 39
2014-12-30	vs	Florida Gulf Coast Eagles	W	71 - 54
2015-01-03	@	NC State Wolfpack	L	50 - 68
2015-01-06	@	Boston College Eagles	W	61 - 60
2015-01-10	vs	Clemson Tigers	L	62 - 71
2015-01-14	vs	Florida State Seminoles	W	73 - 64
2015-01-17	vs	Georgia Tech Yellow Jackets	W	70 - 65
2015-01-19	@	Duke Blue Devils	L	65 - 79
2015-01-25	vs	Louisville Cardinals	L	68 - 80
2015-01-27	@	Virginia Tech Hokies	L	67 - 70
2015-01-31	vs	Notre Dame Fighting Irish	W	76 - 72
2015-02-02	vs	Bryant Bulldogs	W	72 - 67
2015-02-07	vs	Syracuse Orange	W	83 - 77
2015-02-11	@	Louisville Cardinals	L	56 - 69
2015-02-14	vs	North Carolina Tar Heels	W	89 - 76
2015-02-16	@	Virginia Cavaliers	L	49 - 61
2015-02-21	@	Syracuse Orange	W	65 - 61
2015-02-24	vs	Boston College Eagles	W	71 - 65
2015-03-01	@	Wake Forest Demon Deacons	L	66 - 69
2015-03-04	vs	Miami Hurricanes	L	63 - 67
2015-03-07	@	Florida State Seminoles	L	52 - 61
2015-03-11	@	NC State Wolfpack	L	70 - 81
2015-03-17	vs	George Washington Revolutionaries	L	54 - 60

2015 Roster

Show Alumni If everyone stayed four years

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 GP	PM/G	PM/40	FG%	3P%	FT%	RAPM	TS%	eFG%
Jamel Artis	F	34	31.8	13.6	6.0	2.3	0.7	0.4	1.8	4.9	16.4	105	29	3.6	5.1	44.6	33.3	78.6	2.28	113.2	49.7
Michael Young	F	34	31.7	13.4	7.3	1.3	0.6	0.8	1.1	4.1	18.2	123	29	4.2	6.0	54.0	75.0	66.2	4.5	132.3	55.0
Cameron Wright	G	26	27.7	9.3	3.0	2.9	1.4	0.5	1.7	4.3	11.0	25	21	1.2	1.8	45.5	20.0	52.0	-1.13	98.4	46.4
James Robinson	G	34	33.9	8.9	3.6	5.1	1.1	0.2	1.6	3.5	13.7	73	29	2.5	3.3	38.7	37.3	80.4	0.41	106.4	46.6
Chris Jones	G	34	27.4	8.5	3.1	2.0	0.4	0.3	1.0	3.6	9.8	69	29	2.4	3.9	45.1	38.6	45.5	1.2	109.7	54.1
Josh Newkirk	G	34	20.8	5.9	1.3	2.7	0.5	0.0	1.4	2.9	6.1	5	29	0.2	0.4	37.1	31.0	73.1	-2.26	92.2	43.8
Sheldon Jeter	F	32	14.3	4.7	2.5	0.5	0.3	0.3	0.6	2.3	5.3	8	27	0.3	0.9	53.3	38.9	52.6	-1.13	90.0	58.0
Cameron Johnson	-	8	14.4	4.5	1.1	0.5	0.1	0.4	0.5	0.9	5.2	-	-	-	-	28.6	16.7	0.0	-	228.4	35.7
Ryan Luther	F	22	8.4	2.0	1.1	0.3	0.0	0.2	0.2	0.5	2.9	-28	19	-1.5	-7.5	33.3	0.0	33.3	-3.92	165.2	33.3
Derrick Randall	F	27	7.8	1.6	2.3	0.0	0.0	0.0	0.4	0.4	3.2	-28	23	-1.2	-6.6	40.0	0	50.0	-3.25	170.1	40.0
Joseph Uchebo	C	21	6.2	1.5	1.9	0.1	0.0	0.1	0.3	0.9	2.5	18	17	1.1	6.6	44.4	0	100.0	0.76	82.1	44.4
Aron Phillips-Nwankwo	F	14	5.8	1.2	1.1	0.1	0.2	0.0	0.1	0.2	2.3	9	9	1.0	7.0	66.7	0	0	1.27	283.3	66.7
Mike Lecak	G	8	2.5	0.6	0.5	0.0	0.0	0.0	0.0	0.1	1.0	8	5	1.6	53.3	0.0	0.0	0	0.18	250.0	0.0
Joshua Ko	G	5	1.2	0.6	0.2	0.0	0.0	0.2	0.0	0.0	1.0	-	-	-	-	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