Dayton - 2016 | Sports Data

2016 Team Stats (13 games)

74.2

PPG

68.3

Opp

+5.6

Margin

45.1%

FG%

34.0%

3P%

68.5%

FT%

37.5

RPG

14.5

APG

11.7

TO

79.9

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 →	1523 (#52)	-
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More →	1453 (#65)	-
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More →	+34.4 (#47)	HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More →	0.379 (#54)	-
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -5.9 More →	0.340 (#55)	NetEff -5.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +2.1 More →	0.560 (#60)	AdjNet +2.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +2.1 More →	0.560 (#60)	AdjNet +2.1

2016 Schedule & Results

Date	Vs/At	Opponent	Result	Score
2015-11-26	vs	Iowa Hawkeyes	W	82 - 77
2015-12-09	@	Vanderbilt Commodores	W	72 - 67
2015-12-19	vs	Furman Paladins	W	70 - 50
2016-01-06	vs	Massachusetts Minutemen	W	93 - 63
2016-01-09	@	La Salle Explorers	L	57 - 61
2016-01-15	vs	George Washington Revolutionaries	W	77 - 70
2016-02-06	@	George Mason Patriots	W	98 - 64
2016-02-09	vs	Duquesne Dukes	W	76 - 74
2016-02-12	@	Rhode Island Rams	W	68 - 66
2016-02-17	@	Saint Joseph's Hawks	L	70 - 79
2016-02-20	vs	St. Bonaventure Bonnies	L	72 - 79
2016-03-11	vs	Richmond Spiders	W	69 - 54
2016-03-12	vs	Saint Joseph's Hawks	L	79 - 82
2016-03-18	vs	Syracuse Orange	L	51 - 70

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%
C. Cooke	G	14	31.1	16.2	5.6	1.6	1.4	1.1	1.5	12.2	12.3	-19	-1.6	-1.9	43.9	39.1	73.2	1.06	58.0	51.2
D. Pierre	F	11	32.8	13.4	8.1	2.4	0.4	0.1	1.6	9.3	13.4	-3	-0.3	-0.4	48.0	42.1	86.8	0.93	61.9	55.9
S. Smith	G	14	30.4	10.6	3.8	4.8	1.4	0.2	1.9	8.9	9.9	9	0.7	1.1	36.8	29.4	60.4	1.01	49.9	42.8
K. Pollard	F	9	23.4	9.0	3.8	0.8	0.4	0.3	1.6	6.7	6.1	7	1.0	1.2	51.7	50.0	48.0	0.84	57.0	52.5
S. McElvene	C	13	19.0	8.1	5.6	0.7	0.2	1.2	1.5	5.0	9.4	13	1.4	2.2	66.2	0	66.7	0.84	74.7	66.2
K. Davis	G	14	25.7	7.6	2.9	1.9	1.1	0.1	0.7	4.9	8.0	29	5.8	3.1	47.1	20.8	70.7	1.18	62.2	50.7
D. Davis	G	14	19.8	5.2	3.0	1.4	0.4	0.1	1.2	5.1	3.8	14	0.7	0.9	33.8	29.7	55.6	1.25	48.7	41.5
S. Miller	F	11	12.9	4.4	1.7	0.4	0.5	0.5	1.5	2.9	3.0	-21	-1.9	-2.9	50.0	42.1	80.0	0.89	70.2	62.5
J. Crosby	G	14	9.9	3.4	1.5	1.1	0.2	0.1	0.7	3.0	2.6	5	0.6	1.1	40.5	33.3	53.8	0.61	50.3	45.2
X. Williams	F	12	9.0	2.4	1.6	0.1	0.3	0.2	0.5	1.9	2.2	11	1.6	3.1	43.5	37.5	100.0	0.47	61.9	50.0
R. Mikesell	F	8	6.1	1.8	1.5	0.5	0.2	0.2	0.6	1.2	2.4	-	-	-	40.0	14.3	100.0	-0.04	64.3	45.0
B. Wehrli	F	10	4.4	0.7	0.4	0.2	0.0	0.0	0.0	0.4	0.9	-	-	-	50.0	33.3	100.0	-0.44	71.7	62.5
J. Gruden	G	2	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.5	-0.5	-	-	-	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