Erasmo Ramírez

P Albuquerque Isotopes

Age 37 RHP 6'0" / 220 lbs AAA

Overview

AAARP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	34	MIX2 levels	50	0	74	3.54	4.01	25.7%	7.5%	0.5	K 22.8% · BB 7.0% · FIP 4.28
2025	35	MIX3 levels	24	1	32	3.90	3.41	18.4%	5.1%	0.4	K 18.7% · BB 5.8% · FIP 2.87
2026	36	AAACOL	10	7	31	11.90	6.68	11.8%	9.3%	—	K 10.1% · BB 8.4% · FIP 6.31
2027PROJ	37	MLBCOL	42	0	44	4.86	5.23	14.3%	8.0%	-0.3
2028PROJ	38	MLBCOL	36	0	38	5.34	5.67	13.1%	8.7%	-0.5

Last 3 seasons WAR 0.9 · Next 2 projected WAR -0.8Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff46Control58Command46FB velo45

CompsJonathan Castellanos (age 37) · Keiichi Yabu (age 36) · Salvador Valdez (age 36)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 133124vR 116

ERA4.86

FIP5.23

K%14.3%

BB%8.0%

K-BB%6.3%

Proj IP44

Value2027 · WAR

Runs saved vs league avg · 44 IP

Grades · Arsenal · Contract

Scouting Grades

STUF4545

CTRL6060

CMD4045

K†3030

FB+2.9 (37%)

SL (6%)

SI (32%)

CU (6%)

CT-0.7 (46%)

CH-0.8 (11%)

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)
2012	22	MLB MLE	Seattle Mariners	16	8	59	238	48	11	6	50%	3.7	20.2%	4.6%	15.5%	2.6%	3.36	3.40	+1.1
2012	22	MLB RAW	Seattle Mariners	16	8	59	238	48	11	6	50%	3.7	20.2%	4.6%	15.5%	2.5%	3.36	3.35	+1.1
2013	23	MLB MLE	Seattle Mariners	14	13	72	321	57	26	12	93%	5.2	17.8%	8.1%	9.7%	3.8%	4.98	4.73	+0.1
2013	23	MLB RAW	Seattle Mariners	14	13	72	321	57	26	12	93%	5.2	17.8%	8.1%	9.7%	3.7%	4.98	4.76	+0.1
2014	24	MLB MLE	Seattle Mariners	17	14	75	338	60	32	13	82%	4.4	17.8%	9.5%	8.3%	3.9%	5.26	4.97	-0.1
2014	24	MLB RAW	Seattle Mariners	17	14	75	338	60	32	13	82%	4.4	17.8%	9.5%	8.3%	3.8%	5.26	5.02	-0.1
2015	25	MLB MLE	Tampa Bay Rays	34	27	163	666	126	40	16	79%	4.8	18.9%	6.0%	12.9%	2.5%	3.75	3.62	+2.5
2015	25	MLB RAW	Tampa Bay Rays	34	27	163	666	126	40	16	79%	4.8	18.9%	6.0%	12.9%	2.4%	3.75	3.57	+2.6
2016	26	MLB MLE	Tampa Bay Rays	64	1	91	378	63	21	14	2%	1.4	16.7%	5.6%	11.1%	3.8%	3.77	4.49	+0.1
2016	26	MLB RAW	Tampa Bay Rays	64	1	91	378	63	21	14	2%	1.4	16.7%	5.6%	11.1%	3.7%	3.77	4.41	+0.1
2017	27	MLB MLE	Seattle Mariners	37	19	131	539	109	29	22	51%	3.5	20.2%	5.4%	14.8%	4.2%	4.39	4.37	+0.8
2017	27	MLB RAW	Seattle Mariners	37	19	131	539	109	29	22	51%	3.5	20.2%	5.4%	14.8%	4.1%	4.39	4.28	+1.0
2018	28	MIX MLE	4 levels	17	17	71	304	59	16	15	100%	4.2	17.3%	5.5%	11.8%	5.6%	5.05	5.41	-0.4
2018	28	MIX RAW	4 levels	17	17	71	304	59	16	15	100%	4.2	19.4%	5.3%	14.1%	4.9%	5.05	4.85	+0.0
2019	29	MIX MLE	2 levels	28	24	128	552	96	44	20	86%	4.6	15.6%	8.4%	7.2%	3.6%	4.91	4.80	+0.1
2019	29	MIX RAW	2 levels	28	24	128	552	96	44	20	86%	4.6	17.4%	8.0%	9.4%	3.6%	4.91	4.66	+0.4
2020	30	MLB MLE	New York Mets	6	0	14	53	9	4	1	0%	2.4	17.0%	7.5%	9.4%	1.9%	0.63	3.66	+0.2
2020	30	MLB RAW	New York Mets	6	0	14	53	9	4	1	0%	2.4	17.0%	7.5%	9.4%	1.9%	0.63	3.59	+0.2
2021	31	MIX MLE	2 levels	22	0	35	141	30	8	4	0%	1.6	18.3%	4.6%	13.8%	3.8%	5.19	4.24	+0.1
2021	31	MIX RAW	2 levels	22	0	35	141	30	8	4	0%	1.6	21.3%	5.7%	15.6%	2.8%	5.19	3.56	+0.4
2022	32	MIX MLE	2 levels	65	2	93	373	73	14	11	3%	1.4	17.6%	3.7%	13.8%	3.2%	2.70	3.83	+0.8
2022	32	MIX RAW	2 levels	65	2	93	373	73	14	11	3%	1.4	19.6%	3.8%	15.8%	2.9%	2.70	3.52	+1.1
2023	33	MIX MLE	2 levels	47	3	83	375	72	21	15	6%	1.8	18.1%	5.4%	12.7%	4.0%	6.26	4.47	+0.1
2023	33	MIX RAW	2 levels	47	3	83	375	72	21	15	6%	1.8	19.2%	5.6%	13.6%	4.0%	6.26	4.47	+0.1
2024	34	MIX MLE	2 levels	50	0	74	307	79	23	12	0%	1.5	22.8%	7.0%	15.8%	4.0%	3.54	4.28	+0.2
2024	34	MIX MLE	2 levels	50	0	74	307	79	23	12	0%	1.5	22.8%	7.0%	15.8%	4.0%	3.54	4.28	+0.2
2024	34	MIX RAW	2 levels	50	0	74	307	79	23	12	0%	1.5	25.7%	7.5%	18.2%	3.9%	3.54	4.01	+0.5
2025	35	MIX MLE	3 levels	24	1	32	136	25	7	3	4%	1.3	18.7%	5.8%	13.0%	1.1%	3.90	2.87	+0.7
2025	35	MIX MLE	3 levels	24	1	32	136	25	7	3	4%	1.3	18.7%	5.8%	13.0%	1.1%	3.90	2.87	+0.7
2025	35	MIX RAW	3 levels	24	1	32	136	25	7	3	4%	1.3	18.4%	5.1%	13.2%	2.2%	3.90	3.41	+0.4
2026	36	AAA MLE	Albuquerque Isotopes	10	7	31	161	19	15	8	70%	3.1	10.1%	8.4%	1.8%	5.5%	11.90	6.31	—
2026	36	AAA MLE	Albuquerque Isotopes	10	7	31	161	19	15	8	70%	3.1	10.1%	8.4%	1.8%	5.5%	11.90	6.31	—
2026	36	AAA RAW	Albuquerque Isotopes	10	7	31	161	19	15	8	70%	3.1	11.8%	9.3%	2.5%	5.0%	11.90	6.68	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			336	96	860	3607	650	217	133	29%	2.6	18.0%	6.0%	12.0%	3.7%	4.34	4.36	+2.0
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	37	MLB	COL	42	0	44	186	27	15	7	0%	1.0	14.3%	8.0%	6.3%	3.5%	4.86	5.23	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	38	MLB MLE	COL	36	0	38	160	21	14	6	0%	1.1	13.1%	8.7%	4.4%	4.0%	5.34	5.67	-0.5
2028	38	MLB CTX	COL	36	0	38	160	21	14	6	0%	1.1	13.1%	8.7%	4.4%	4.0%	5.34	5.67	-0.5
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		372	96	898	3767	671	231	139	26%	2.4	17.8%	6.1%	11.7%	3.7%	4.39	4.40	+1.5
/ 200 IP	—	RAW		83	21	200	839	149	51	31	26%	2.4	17.8%	6.1%	11.7%	3.7%	4.39	4.40	+0.3
Career	—	MLE		451	136	1154	4882	882	310	178	30%	2.6	18.1%	6.3%	11.7%	3.6%	4.50	4.38	+1.5
/ 200 IP	—	MLE		78	24	200	846	153	54	31	30%	2.6	18.1%	6.3%	11.7%	3.6%	4.50	4.38	+0.3

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
Erasmo Ramírez (OGILVIE)	—	—	5.23	14.3%	8.0%	3.5%	—	5.67	13.1%	4.4%	38	+0.44	—	—	—
Jonathan Castellanos R 2019 · 5.24 FIP	37	SW	5.24	11.0%	9.0%	3.5%	.348	—	—	—	—	—	3.40	394	68
Keiichi Yabu R 2005 · 4.05 FIP	36	SU	4.05	16.8%	8.8%	2.3%	.307	3.48	15.9%	6.6%	68	-0.57	3.48	126	68
Salvador Valdez R 2019 · 4.30 FIP	36	SW	4.30	17.1%	8.2%	2.9%	.405	—	—	—	—	—	3.60	326	66
Rudy Gonzalez R 2017 · 4.72 FIP	36	SU	4.72	15.8%	7.1%	3.8%	.354	—	—	—	—	—	3.31	119	61
Brian Sweeney R 2010 · 4.63 FIP	36	SU	4.63	9.5%	3.4%	3.5%	.226	—	—	—	—	—	3.03	108	61
Francisco Del Rosario R 2017 · 4.15 FIP	36	SU	4.15	16.4%	10.0%	2.1%	.267	6.35	11.9%	-0.6%	77	+2.20	3.93	194	57
Zack Segovia R 2019 · 4.55 FIP	36	SU	4.55	17.6%	13.6%	2.2%	.353	—	—	—	—	—	3.33	144	57
Chris Nichting R 2002 · 4.67 FIP	36	SU	4.67	16.6%	3.3%	4.6%	.289	—	—	—	—	—	4.11	103	55
Pete Walker R 2006 · 4.45 FIP	37	SU	4.45	19.6%	8.0%	3.6%	.337	—	—	—	—	—	4.45	327	54
Yoshihisa Hirano R 2020 · 5.02 FIP	36	SU	5.02	17.5%	12.7%	3.3%	.381	—	—	—	—	—	3.45	132	48
Seunghwan Oh R 2019 · 5.75 FIP	37	SU	5.75	18.2%	6.8%	6.0%	.383	—	—	—	—	—	1.87	226	48
Masato Yoshii R 2002 · 4.15 FIP	37	SP-	4.15	13.4%	5.4%	2.7%	.295	—	—	—	—	—	4.15	757	33
Kenshin Kawakami R 2010 · 4.06 FIP	35	SP	4.06	15.1%	5.6%	2.8%	.293	—	—	—	—	—	3.97	244	32
Brian Shouse L 2006 · 4.19 FIP	37	SU	4.19	13.2%	7.5%	2.3%	.269	3.37	15.3%	11.0%	127	-0.82	2.32	339	29
Juan Antonio Pena L 2015 · 4.20 FIP	37	SP-	4.20	13.6%	9.9%	1.8%	.287	—	—	—	—	—	4.20	149	24
Walter Silva R 2015 · 4.15 FIP	38	SP	4.15	14.8%	7.4%	2.5%	.311	3.91	10.4%	3.7%	209	-0.24	3.67	453	24
Jose Oyervides R 2019 · 5.66 FIP	37	SP	5.66	16.3%	11.2%	4.6%	.320	—	—	—	—	—	3.01	407	23
Chris Michalak L 2006 · 5.71 FIP	35	SP-	5.71	6.2%	8.6%	3.7%	.273	—	—	—	—	—	4.71	186	23
Hisanori Takahashi L 2012 · 4.04 FIP	37	SU	4.04	24.5%	6.1%	4.1%	.295	—	—	—	—	—	3.50	240	21
Jarrett Grube R 2017 · 4.41 FIP	35	SP	4.41	15.8%	8.1%	3.0%	.296	—	—	—	—	—	3.75	393	20

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 3,327 pitcher careers (1,251 from 1990-2025 + 2,076 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	4.7	72	17.6%	6.5%	1.43	4.41
Ron Taylor ('62-'72, 3 WAR*)	4.0	80	17.8%*	6.8%*	1.26*	4.74*
Wade LeBlanc ('21)	4.7	72	16.9%	7.1%	1.45	4.54
Jesse Chavez ('25)	5.7	82	21.4%	7.4%	1.32	4.27
Anthony Swarzak ('21)	3.3	73	17.8%	7.3%	1.20	4.42
Willie Blair ('90-'01, 1 WAR*)	6.4	106	16.4%*	7.2%*	1.32*	4.86*
Phil Regan ('60-'72, 9 WAR*)	6.9	114	16.7%*	7.6%*	1.29*	4.36*