Akron

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Also known as: Akron Zips

Program History

Coach: John Groce

2013 Team Stats (6 games)

66.3

PPG

70.8

Opp

-4.5

Margin

45.0%

FG%

25.4%

3P%

64.3%

FT%

32.3

RPG

13.3

APG

13.8

Est. poss./game

69.7

Adj PPG

61.3

Adj Opp PPG

#61

Scoring Rank

Model Outputs

2012-2013

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 →	1244 (#56)	-
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More →	1223 (#42)	-
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +102 elo More →	1128 (#25)	HCA +102 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.1 More →	+8.7 (#62)	HCA +3.1
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.2 More →	+4.2 (#107)	HCA +3.2
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More →	0.796 (#40)	-
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +13.0 More →	0.818 (#67)	AdjNet +13.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +13.0 More →	0.818 (#68)	AdjNet +13.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 69.7 \| AdjD 61.3 More →	0.684 (#61)	AdjO 69.7 \| AdjD 61.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.4 \| AdjD 61.5 More →	0.589 (#87)	AdjO 65.4 \| AdjD 61.5
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 →	0.735 (#62)	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 →	0.719 (#63)	Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 117 \| GP 32 More →	1213 (#46)	RD 117 \| GP 32

2013 Schedule & Results

Date	Vs/At	Opponent	Result	Score
2012-11-09	@	Coastal Carolina Chanticleers	L	70 - 74
2012-11-12	vs	John Carroll Blue Streaks	W	97 - 53
2012-11-15	@	Oklahoma State Cowboys	L	65 - 69
2012-11-16	@	UNC Asheville Bulldogs	W	82 - 63
2012-11-18	@	Penn State Nittany Lions	W	85 - 60
2012-12-02	vs	Middle Tennessee Blue Raiders	W	82 - 77
2012-12-09	@	Creighton Bluejays	L	61 - 77
2012-12-15	@	Detroit Mercy Titans	L	73 - 80
2012-12-18	vs	Arkansas-Pine Bluff Golden Lions	W	76 - 46
2012-12-23	vs	Cleveland State Vikings	W	87 - 57
2012-12-27	vs	Texas Southern Tigers	W	83 - 68
2012-12-30	vs	Princeton Tigers	W	62 - 58
2013-01-02	vs	Coppin State Eagles	W	91 - 63
2013-01-09	vs	Western Michigan Broncos	W	65 - 43
2013-01-12	@	Northern Illinois Huskies	W	68 - 53
2013-01-16	vs	Ball State Cardinals	W	71 - 64
2013-01-19	@	Kent State Golden Flashes	W	71 - 67
2013-01-23	@	Toledo Rockets	W	71 - 56
2013-01-26	vs	Buffalo Bulls	W	68 - 64
2013-01-30	@	Bowling Green Falcons	W	68 - 55
2013-02-02	vs	Ohio Bobcats	W	86 - 72
2013-02-05	vs	Central Michigan Chippewas	W	68 - 56
2013-02-09	@	Miami (OH) Redhawks	W	54 - 50
2013-02-13	@	Eastern Michigan Eagles	W	70 - 62
2013-02-16	vs	Bowling Green Falcons	W	67 - 50
2013-02-22	vs	North Dakota State Bison	W	68 - 53
2013-02-27	@	Ohio Bobcats	W	88 - 81
2013-03-02	@	Buffalo Bulls	L	67 - 81
2013-03-05	vs	Miami (OH) Redhawks	W	72 - 58
2013-03-08	vs	Kent State Golden Flashes	L	64 - 68
2013-03-15	vs	Kent State Golden Flashes	W	62 - 59
2013-03-16	vs	Ohio Bobcats	W	65 - 46
2013-03-21	@	VCU Rams	L	42 - 88

2013 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 GP	PM/G	PM/40	FG%	3P%	FT%	RAPM	TS%	eFG%
Zeke Marshall	C	33	28.2	13.0	7.0	0.8	0.6	3.7	1.4	5.3	18.4	186	24	7.8	11.8	63.4	100.0	66.4	3.41	93.6	64.0
Demetrius Treadwell	F	30	28.9	11.5	7.9	1.6	0.9	0.4	2.2	6.3	13.8	137	23	6.0	9.3	48.4	0	47.4	2.64	77.9	48.4
Alex Abreu	G	29	30.2	10.3	2.5	6.0	1.2	0.1	2.9	5.4	11.7	158	20	7.9	11.9	43.9	39.8	85.7	2.93	82.0	55.1
Nick Harney	F	30	20.4	9.5	3.8	1.2	0.8	0.3	1.9	5.7	8.0	113	23	4.9	11.0	47.1	25.0	66.2	1.26	71.3	50.0
Brian Walsh	G	32	23.7	7.2	3.5	1.6	1.2	0.1	0.7	4.2	8.8	150	23	6.5	12.8	38.5	34.6	80.0	2.11	79.1	48.5
Jake Kretzer	F	33	21.0	5.7	3.2	1.0	0.9	0.1	0.9	3.5	6.5	23	24	1.0	2.3	40.4	34.9	90.0	-0.69	79.8	53.5
Chauncey Gilliam	F	29	15.7	5.6	1.7	0.7	0.6	0.0	0.6	3.9	4.1	36	21	1.7	5.3	31.2	15.6	76.5	-0.43	67.8	35.7
Reggie McAdams	F	32	12.3	4.6	1.3	0.4	0.4	0.2	0.2	3.0	3.7	-30	24	-1.2	-5.0	34.4	31.6	38.5	-4.67	72.3	47.4
Pat Forsythe	C	33	11.2	3.4	2.7	0.3	0.2	0.8	1.1	1.8	4.5	-59	23	-2.6	-11.8	51.7	0	54.8	-3.74	76.7	51.7
D. Ibitayo	G	29	11.0	3.0	1.8	0.7	0.3	0.1	0.6	2.0	3.1	-40	21	-1.9	-8.7	37.9	24.1	59.1	-4.5	63.5	44.0
Jonas Stalyga	F	5	1.4	2.8	0.4	0.0	0.0	0.0	0.0	2.0	1.2	-	-	-	-	50.0	50.0	20.0	-0.95	57.4	65.0
Carmelo Betancourt	G	33	11.5	2.0	0.9	1.6	0.4	0.0	1.8	1.5	1.7	-26	24	-1.1	-4.1	39.6	15.4	66.7	-2.42	61.9	41.7
Darius Hoisten	G	5	1.4	0.4	0.8	0.0	0.0	0.0	0.0	0.4	0.8	-	-	-	-	0.0	0.0	100.0	-0.95	34.7	0.0
Blake Justice	-	6	4.0	0.3	0.3	0.3	0.0	0.0	0.2	0.8	0.0	-	-	-	-	0.0	0.0	100.0	-	17.0	0.0
Luke Avsec	G	7	1.9	0.0	0.3	0.3	0.0	0.0	0.4	0.1	0.0	-3	5	-0.6	-16.6	0.0	0.0	0	-1.25	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