Providence - 2015 | Sports Data

2015 Team Stats (11 games)

67.0

PPG

65.8

Opp

+1.0

Margin

42.4%

FG%

36.4%

3P%

71.9%

FT%

35.9

RPG

13.3

APG

13.1

TO

76.8

Pace

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 →	1374 (#113)	-
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More →	1422 (#79)	-
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More →	+33.4 (#59)	HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More →	0.761 (#14)	-
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -4.4 More →	0.377 (#33)	NetEff -4.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -6.9 More →	0.312 (#81)	AdjNet -6.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -6.9 More →	0.310 (#81)	AdjNet -6.9

2015 Schedule & Results

Date	Vs/At	Opponent	Result	Score
2014-11-15	vs	Albany Great Danes	W	64 - 60
2014-11-20	vs	Navy Midshipmen	W	88 - 51
2014-11-30	@	Kentucky Wildcats	L	38 - 58
2015-02-04	@	Georgetown Hoyas	W	74 - 71
2015-02-11	vs	Villanova Wildcats	L	68 - 74
2015-02-24	@	Villanova Wildcats	L	61 - 89
2015-03-01	vs	Marquette Golden Eagles	W	77 - 66
2015-03-04	@	Seton Hall Pirates	W	79 - 66
2015-03-07	vs	Butler Bulldogs	L	64 - 68
2015-03-12	vs	St. John's Red Storm	W	74 - 57
2015-03-13	@	Villanova Wildcats	L	61 - 63
2015-03-20	vs	Dayton Flyers	L	53 - 66

2015 Roster

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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%
L. Henton	F	12	36.6	16.5	7.2	0.7	1.2	0.6	2.4	12.1	11.6	-	-	-	42.1	41.4	72.1	-	60.4	50.3
J. Dunn	G	12	33.9	13.2	4.7	7.5	2.6	0.2	4.2	11.5	12.4	1	0.2	0.4	41.3	37.9	68.1	0.21	50.1	45.3
T. Harris	F	12	26.2	10.9	4.0	0.8	0.9	0.2	1.1	6.8	9.0	-27	-2.5	-6.4	45.7	25.0	74.4	0.53	66.7	48.8
B. Bentil	-	12	25.7	9.1	6.4	0.5	0.4	0.2	1.8	6.4	8.5	-	-	-	45.5	41.7	75.0	-	57.6	48.7
C. Desrosiers	F	10	24.7	5.6	2.7	0.8	0.4	1.5	1.0	3.4	6.6	-	-	-	47.1	50.0	85.0	-	65.4	51.5
K. Cartwright	G	12	19.1	3.5	1.4	2.4	0.4	0.1	0.9	3.8	3.2	-	-	-	28.9	13.3	54.5	-	42.1	31.1
J. Lindsey	G	12	14.6	3.4	1.1	0.2	0.2	0.2	0.1	3.1	1.8	-	-	-	37.8	38.5	60.0	-	52.3	51.4
P. Chukwu	C	12	11.2	2.9	2.8	0.1	0.2	0.5	0.7	1.6	4.2	-	-	-	68.4	0	75.0	-	72.1	68.4
J. Lomomba	G	11	12.1	2.2	1.5	0.5	0.5	0.0	0.7	1.5	2.5	-	-	-	37.5	33.3	64.3	-	54.2	40.6
T. Bancroft	G	3	1.7	2.0	0.3	0.0	0.0	0.0	0.0	1.3	1.0	-	-	-	50.0	50.0	0	-	75.0	75.0
C. Woodring	G	2	2.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	-1.0	-	-	-	0.0	0	0	-	0.0	0.0
T. Planek	F	3	1.3	0.0	0.7	0.0	0.0	0.0	0.3	0.3	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