Eric Dominow

Batting Statistics

CSV

Glossary

ðŸ”’

MLB Stats

Minor League Stats

College Stats

Yearly Summary

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year	team name	league	level	mlb	#	age	pos	tbc+	g	ab	r	h	2b	3b	hr	rbi	sb	cs	bb	so	hbp	sh	sf	ibb	gdp	tb	pa	xbh	1b	avg	obp	slg	ops	seca	iso	babip	bb%	so%	so/bb	ab/hr
1992	Western Michigan	MAC	NCAA-1			20	1B		30	66	8	16	3	0	0	11	0	0	10	14	0	0	0	0	0	19	76	3	13	.242	.342	.288	.630	.197	.046	.000	13.16	18.42	1.40	0.00
1993	Western Michigan	MAC	NCAA-1			21	1B		43	115	25	37	8	1	4	39	0	0	18	11	0	0	0	0	0	59	133	13	24	.322	.414	.513	.927	.348	.191	.000	13.53	8.27	0.61	28.75
1993	Erie Sailors	NYPL	A-	TEX	-	21	1B	86	62	204	23	44	6	1	2	17	4	1	18	34	2	1	1	0	0	58	226	9	35	.216	.284	.284	.568	.172	.068	.249	7.96	15.04	1.89	102.00
Tot:	Minors (1 yrs)		Minors						62	204	23	44	6	1	2	17	4	1	18	34	2	1	1	0	0	58	226	9	35	.216	.284	.284	.569	.172	.069	.249	7.96	15.04	1.89	102.00
Tot:	A- (1 yrs)		A-						62	204	23	44	6	1	2	17	4	1	18	34	2	1	1	0	0	58	226	9	35	.216	.284	.284	.569	.172	.069	.249	7.96	15.04	1.89	102.00
Tot:	College (2 yrs)		College						73	181	33	53	11	1	4	50	0	0	28	25	0	0	0	0	0	78	209	16	37	.293	.388	.431	.818	.293	.138	.322	13.40	11.96	0.89	45.25
Avg:	Minors - 162 game avg		Minors						162	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’
Avg:	College - 162 game avg		College						162	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’	ðŸ”’

TBC+ Metric is based on wOBA with inclusion of stolen base value. TBC's version of wOBA excludes park factors and uses static coefficients across all levels and years for ease of implementation.
* indicates player had a low sample size of plate appearances.

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Speed	Power	Contact	Xtra	Rbis	Runs	Hitting	Durability	Team Success
23	31	58	35	54	31	30	72	.527

Batting Statistics

Talent Ratings