Eddy Demurias

P Chattanooga Lookouts

Age 29 RHP 6'0" / 184 lbs AA

Overview

AAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	24	AAACIN	55	55	3.95	3.94	24.3%	13.6%	—	K 21.4% · BB 14.3% · FIP 4.07
2023	25	MIX4 levels	28	34	4.81	3.52	22.2%	9.5%	—	K 15.9% · BB 13.6% · FIP 4.67
2024	26	AACIN	10	16	4.50	2.16	24.3%	9.5%	—	K 19.7% · BB 10.4% · FIP 2.75
2027PROJ	29	MLBCIN	9	9	4.38	4.38	22.7%	9.4%	0.0
2028PROJ31% MLB	30	MLBCIN	6	6	4.48	4.55	22.4%	9.7%	0.0

Next 2 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsNeil Wagner (age 29) · Joe Nelson (age 31) · Tyler Sturdevant (age 29)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 116108vR 100

ERA4.38

FIP4.38

K%22.7%

BB%9.4%

K-BB%13.3%

Proj IP9

Value2027 · WAR

Runs saved vs league avg · 9 IP

Grades · Contract

Scouting Grades

K†5555

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to industry-standard fWAR.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far)
2018	20	ROK MLE	Billings Mustangs	20	0	29	129	25	7	2	0%	1.4	13.2%	6.8%	6.4%	2.2%	4.97	4.04	—
2018	20	ROK RAW	Billings Mustangs	20	0	29	129	25	7	2	0%	1.4	19.4%	5.4%	14.0%	1.6%	4.97	3.00	—
2019	21	A MLE	Dayton Dragons	40	0	78	337	70	24	4	0%	1.9	15.4%	8.4%	7.0%	1.6%	4.50	3.76	—
2019	21	A RAW	Dayton Dragons	40	0	78	337	70	24	4	0%	1.9	20.8%	7.1%	13.6%	1.2%	4.50	2.89	—
2021	23	MIX MLE	3 levels	38	0	52	215	52	27	2	0%	1.4	20.0%	12.9%	7.1%	1.5%	2.26	3.87	—
2021	23	MIX RAW	3 levels	38	0	52	215	52	27	2	0%	1.4	24.2%	12.6%	11.6%	0.9%	2.26	3.16	—
2022	24	AAA MLE	Louisville Bats	55	0	55	243	59	33	5	0%	1.0	21.4%	14.3%	7.1%	1.8%	3.95	4.07	—
2022	24	AAA RAW	Louisville Bats	55	0	55	243	59	33	5	0%	1.0	24.3%	13.6%	10.7%	2.1%	3.95	3.94	—
2023	25	MIX MLE	4 levels	28	0	34	158	35	15	3	0%	1.2	15.9%	13.6%	2.3%	2.2%	4.81	4.67	—
2023	25	MIX RAW	4 levels	28	0	34	158	35	15	3	0%	1.2	22.2%	9.5%	12.7%	1.9%	4.81	3.52	—
2024	26	AA MLE	Chattanooga Lookouts	10	0	16	74	18	7	0	0%	1.6	19.7%	10.4%	9.3%	0.0%	4.50	2.75	—
2024	26	AA MLE	Chattanooga Lookouts	10	0	16	74	18	7	0	0%	1.6	19.7%	10.4%	9.3%	0.0%	4.50	2.75	—
2024	26	AA RAW	Chattanooga Lookouts	10	0	16	74	18	7	0	0%	1.6	24.3%	9.5%	14.9%	0.0%	4.50	2.16	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	CIN	9	0	9	38	9	4	1	0%	1.0	22.7%	9.4%	13.3%	3.0%	4.38	4.38	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	CIN	19	0	20	84	19	8	3	0%	1.1	22.4%	9.7%	12.7%	3.2%	4.48	4.55	0.0
2028	30	MLB CTX	CIN	6	0	6	25	6	2	1	0%	1.0	22.4%	9.7%	12.7%	3.2%	4.48	4.55	0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	6	26	6	3	1	0%	1.0	22.5%	9.7%	12.7%	3.2%	4.48	4.17	+0.0
/ 200 IP	—	RAW		190	0	200	844	192	96	32	0%	1.1	22.5%	9.7%	12.7%	3.2%	4.48	4.17	+0.9
Career	—	MLE		191	0	263	1156	203	129	19	0%	1.4	17.6%	11.1%	6.5%	1.7%	4.04	3.94	0.0
/ 200 IP	—	MLE		145	0	200	879	155	98	15	0%	1.4	17.6%	11.1%	6.5%	1.7%	4.04	3.94	0.0

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Eddy Demurias (OGILVIE)	—	—	4.38	22.7%	9.4%	3.0%	—	4.55	22.4%	12.7%	20	+0.17	—	—	—
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	87
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	85
Tyler Sturdevant R 2015 · 4.37 FIP	29	SU	4.37	21.3%	8.5%	3.6%	.241	3.97	18.5%	11.9%	118	-0.40	3.44	149	85
Jason Bulger R 2008 · 4.60 FIP	29	SU	4.60	27.4%	12.3%	4.1%	.293	3.94	25.1%	13.3%	90	-0.66	3.78	106	82
Gerardo Sanchez R 2017 · 3.47 FIP	28	SU	3.47	21.6%	8.4%	2.1%	.355	3.58	20.5%	15.1%	56	+0.11	2.65	137	82
Cody Hall R 2017 · 4.03 FIP	29	SU	4.03	26.8%	10.0%	3.5%	.299	3.92	25.9%	8.4%	19	-0.11	3.51	134	82
Diego Moreno R 2016 · 3.75 FIP	29	SU	3.75	21.0%	8.2%	2.5%	.347	3.13	17.8%	11.9%	54	-0.62	2.29	187	81
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	81
Marcos Mateo R 2011 · 3.40 FIP	27	SU	3.40	25.5%	10.2%	2.1%	.361	—	—	—	—	—	3.12	104	80
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	80
Coleman Huntley III R 2022 · 4.05 FIP	29	SU	4.05	24.4%	10.9%	3.0%	.311	2.38	20.9%	12.6%	25	-1.67	2.38	160	79
Brian Sanches R 2008 · 4.74 FIP	29	SU	4.74	18.5%	9.3%	3.7%	.378	4.01	20.5%	10.8%	182	-0.73	3.39	229	79
Ryan Brasier R 2016 · 3.68 FIP	28	SU	3.68	25.0%	7.7%	3.1%	.289	3.09	24.2%	17.9%	130	-0.59	2.31	426	79
Scott Atchison R 2004 · 3.61 FIP	28	SU	3.61	27.1%	9.0%	3.0%	.309	4.55	19.1%	11.5%	31	+0.94	2.52	340	79
Andrew Robinson R 2017 · 4.32 FIP	29	SU	4.32	23.4%	8.8%	3.8%	.245	—	—	—	—	—	3.19	160	78
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	78
Tyler Walker R 2005 · 4.19 FIP	29	SU	4.19	19.4%	7.5%	3.2%	.303	3.61	19.7%	11.3%	93	-0.58	2.38	289	78
Michael Dimock R 2018 · 3.37 FIP	28	SU	3.37	23.5%	10.7%	1.6%	.346	—	—	—	—	—	3.08	166	78
Marc Magliaro R 2018 · 3.94 FIP	28	SU	3.94	19.6%	7.3%	2.9%	.307	—	—	—	—	—	3.94	125	77
Joel Peralta R 2005 · 4.67 FIP	29	SU	4.67	20.7%	8.3%	4.1%	.227	4.27	18.0%	13.3%	214	-0.40	2.70	648	77