Miguel Mejias

P St. Lucie Mets

Age 22 RHP 6'1" / 150 lbs A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	20	ROKNYM	4	4	4.15	5.87	12.0%	24.0%	—	K 12.0% · BB 24.0% · FIP 5.13
2026	21	ANYM	38	48	3.38	2.75	29.2%	12.4%	—	K 21.6% · BB 14.6% · FIP 3.83
2027PROJ	22	MLBNYM	28	29	4.87	4.87	22.3%	13.6%	-0.1
2028PROJ49% MLB	23	MLBNYM	21	22	4.67	4.58	23.1%	12.0%	-0.0

Next 2 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0 WAR median (P10 -0 / P90 0, comp-based) · star 0% · didn't stick 97%

CompsJordan Mikel (age 22) · Kasey Ford (age 23) · Chris Perez (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 126118vR 109

ERA4.87

FIP4.87

K%22.3%

BB%13.6%

K-BB%8.7%

Proj IP29

Value2027 · WAR

Runs saved vs league avg · 29 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)
2023	18	ROK MLE	DSL Mets Blue	11	1	12	53	9	9	0	9%	1.1	11.5%	21.2%	-9.7%	0.0%	5.25	4.81	—
2023	18	ROK RAW	DSL Mets Blue	11	1	12	53	9	9	0	9%	1.1	17.0%	17.0%	0.0%	0.0%	5.25	3.85	—
2025	20	ROK MLE	FCL Mets	4	0	4	25	3	6	0	0%	1.1	12.0%	24.0%	-12.0%	0.0%	4.15	5.13	—
2025	20	ROK MLE	FCL Mets	4	0	4	25	3	6	0	0%	1.1	12.0%	24.0%	-12.0%	0.0%	4.15	5.13	—
2025	20	ROK RAW	FCL Mets	4	0	4	25	3	6	0	0%	1.1	12.0%	24.0%	-12.0%	0.0%	4.15	5.87	—
2026	21	A MLE	St. Lucie Mets	38	0	48	202	59	25	2	0%	1.3	21.6%	14.6%	7.0%	1.3%	3.38	3.83	—
2026	21	A MLE	St. Lucie Mets	38	0	48	202	59	25	2	0%	1.3	21.6%	14.6%	7.0%	1.3%	3.38	3.83	—
2026	21	A RAW	St. Lucie Mets	38	0	48	202	59	25	2	0%	1.3	29.2%	12.4%	16.8%	1.0%	3.38	2.75	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	NYM	28	0	29	122	27	17	3	0%	1.0	22.3%	13.6%	8.7%	2.8%	4.87	4.87	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	NYM	43	0	45	189	44	23	5	0%	1.0	23.1%	12.0%	11.1%	2.8%	4.67	4.58	-0.0
2028	23	MLB CTX	NYM	21	0	22	93	21	11	3	0%	1.0	23.1%	12.0%	11.1%	2.8%	4.67	4.58	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		21	0	22	93	22	11	3	0%	1.0	23.1%	12.0%	11.1%	2.8%	4.67	4.20	+0.1
/ 200 IP	—	RAW		190	0	200	844	200	100	27	0%	1.1	23.1%	12.0%	11.1%	2.8%	4.67	4.20	+0.8
Career	—	MLE		53	1	64	280	53	47	3	2%	1.2	18.9%	16.7%	2.2%	0.9%	3.78	4.13	-0.0
/ 200 IP	—	MLE		165	3	200	870	164	145	8	2%	1.2	18.9%	16.7%	2.2%	0.9%	3.78	4.13	-0.1

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
Miguel Mejias (OGILVIE)	—	—	4.87	22.3%	13.6%	2.8%	—	4.58	23.1%	11.1%	45	-0.29	—	—	—
Jordan Mikel R 2021 · 4.49 FIP	22	SU	4.49	20.5%	12.5%	2.8%	.330	4.16	19.2%	9.0%	109	-0.33	3.04	195	91
Kasey Ford R 2021 · 4.89 FIP	23	SU	4.89	20.3%	14.5%	3.0%	.310	4.26	21.9%	5.8%	98	-0.63	2.53	114	90
Chris Perez R 2008 · 4.22 FIP	23	SU	4.22	23.7%	12.4%	2.8%	.269	3.71	22.5%	12.6%	180	-0.51	3.18	379	90
Easton Sikorski R 2023 · 4.85 FIP	23	SU	4.85	20.9%	14.1%	3.1%	.254	4.62	17.5%	6.3%	154	-0.23	4.23	183	89
Caleb Freeman R 2019 · 3.98 FIP	21	SU	3.98	24.6%	12.9%	2.4%	.267	5.15	21.7%	8.1%	58	+1.17	3.98	225	89
Cole Gordon R 2019 · 4.09 FIP	23	SU	4.09	22.0%	12.7%	2.3%	.243	5.19	20.9%	9.5%	83	+1.10	4.09	112	89
Harrison Cohen R 2023 · 4.56 FIP	24	SU	4.56	22.4%	13.4%	3.0%	.282	4.18	22.3%	9.0%	119	-0.38	2.12	165	89
Hunter Dula R 2022 · 3.91 FIP	23	SU	3.91	22.0%	12.3%	2.0%	.340	4.54	20.0%	8.9%	91	+0.63	3.91	132	89
Ismael Cabrera R 2016 · 4.77 FIP	22	SU	4.77	19.5%	12.4%	3.2%	.276	5.29	16.9%	6.5%	95	+0.52	3.56	133	89
Tanner Jacobson R 2023 · 4.09 FIP	23	SU	4.09	22.8%	13.8%	2.1%	.313	4.89	21.1%	5.4%	115	+0.80	4.09	168	89
CJ Weins R 2024 · 4.55 FIP	23	SU	4.55	24.7%	15.9%	2.8%	.276	5.77	16.2%	-4.4%	76	+1.22	4.55	117	88
Ryan Perry R 2009 · 4.18 FIP	22	SU	4.18	22.0%	12.1%	2.6%	.283	3.87	16.1%	6.9%	100	-0.31	3.59	161	88
Luis Ramirez R 2015 · 4.68 FIP	23	SU	4.68	23.1%	15.9%	2.8%	.278	3.71	24.0%	11.4%	53	-0.97	3.71	104	88
Samuel Carpio R 2024 · 4.20 FIP	21	SU	4.20	21.2%	15.3%	1.7%	.300	5.36	21.6%	-3.4%	112	+1.16	4.20	134	88
Cam Bedrosian R 2014 · 3.94 FIP	22	SU	3.94	21.5%	11.8%	2.1%	.350	2.72	26.8%	17.8%	154	-1.22	1.79	363	87
Bailey Dees R 2022 · 4.26 FIP	23	SU	4.26	21.3%	13.2%	2.4%	.248	4.35	21.4%	9.7%	278	+0.09	3.41	330	87
Logan VanWey R 2023 · 4.34 FIP	24	SU	4.34	23.9%	14.0%	2.7%	.301	3.74	25.9%	15.2%	147	-0.60	2.97	194	87
Nolan Sparks R 2024 · 4.10 FIP	21	SU	4.10	21.8%	13.5%	2.1%	.229	4.72	19.3%	5.3%	140	+0.62	4.10	155	87
Kyle Marman R 2019 · 3.97 FIP	22	SU	3.97	22.2%	12.8%	2.0%	.270	5.16	22.5%	8.4%	71	+1.19	3.97	117	87
Craig Schlitter R 2016 · 4.53 FIP	24	SU	4.53	22.7%	15.4%	2.5%	.298	4.67	14.7%	4.2%	171	+0.14	4.25	222	87

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	0.4	37	22.8%	12.6%	1.09	4.75
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
David Aardsma ('15)	1.7	48	23.1%	12.4%	1.09	4.27
John Hudek ('99)	1.0	40	23.0%	13.7%	1.30	4.43
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
José Cisnero ('24)	1.4	46	24.0%	11.3%	1.01	4.16