Marlon Perez

P Wilmington Blue Rocks

Age 27 LHP 5'10" / 180 lbs A+

Overview

A+PROSPECT

MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	23	A+WSH	36	1	70	2.97	2.55	30.8%	7.0%	—	K 23.7% · BB 8.0% · FIP 3.69
2024	24	A+WSH	27	0	34	6.15	4.05	27.6%	14.1%	—	K 21.2% · BB 16.2% · FIP 5.09
2027PROJ	27	MLBWSH	19	0	20	4.68	4.68	22.9%	11.7%	-0.0
2028PROJ37% MLB	28	MLBWSH	7	0	7	4.69	4.72	22.8%	11.6%	-0.0

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

Contract

No contract data on file.

CompsColton Johnson (age 26) · Mitchell Tyranski (age 26) · Jackson Lancaster (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 106114vR 122

ERA4.68

FIP4.68

K%22.9%

BB%11.7%

K-BB%11.2%

Proj IP20

Value2027 · WAR

Runs saved vs league avg · 20 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)
2022	22	A MLE	Fredericksburg Nationals	28	0	42	170	47	13	2	0%	1.5	20.5%	9.0%	11.4%	1.4%	3.46	3.30	—
2022	22	A RAW	Fredericksburg Nationals	28	0	42	170	47	13	2	0%	1.5	27.6%	7.6%	20.0%	1.2%	3.46	2.40	—
2023	23	A+ MLE	Wilmington Blue Rocks	36	1	70	286	88	20	6	3%	1.9	23.7%	8.0%	15.7%	2.9%	2.97	3.69	—
2023	23	A+ RAW	Wilmington Blue Rocks	36	1	70	286	88	20	6	3%	1.9	30.8%	7.0%	23.8%	2.1%	2.97	2.55	—
2024	24	A+ MLE	Wilmington Blue Rocks	27	0	34	156	43	22	4	0%	1.2	21.2%	16.2%	5.0%	3.2%	6.15	5.09	—
2024	24	A+ MLE	Wilmington Blue Rocks	27	0	34	156	43	22	4	0%	1.2	21.2%	16.2%	5.0%	3.2%	6.15	5.09	—
2024	24	A+ RAW	Wilmington Blue Rocks	27	0	34	156	43	22	4	0%	1.2	27.6%	14.1%	13.5%	2.6%	6.15	4.05	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	WSH	19	0	20	84	19	10	3	0%	1.1	22.9%	11.7%	11.2%	3.0%	4.68	4.68	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	WSH	19	0	20	84	19	10	3	0%	1.1	22.8%	11.6%	11.2%	3.1%	4.69	4.72	-0.0
2028	28	MLB CTX	WSH	7	0	7	30	7	3	1	0%	1.0	22.8%	11.6%	11.2%	3.1%	4.69	4.72	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	0	7	31	7	4	1	0%	1.0	22.8%	11.6%	11.2%	3.1%	4.69	4.34	+0.0
/ 200 IP	—	RAW		190	0	200	844	191	109	27	0%	1.1	22.8%	11.6%	11.2%	3.1%	4.69	4.34	+0.5
Career	—	MLE		91	1	145	612	136	64	16	1%	1.6	22.2%	10.4%	11.8%	2.5%	3.85	3.94	-0.0
/ 200 IP	—	MLE		126	1	200	844	187	88	21	1%	1.6	22.2%	10.4%	11.8%	2.5%	3.85	3.94	-0.4

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
Marlon Perez (OGILVIE)	—	—	4.68	22.9%	11.7%	3.0%	—	4.72	22.8%	11.2%	20	+0.04	—	—	—
Colton Johnson L 2024 · 3.92 FIP	26	SU	3.92	20.8%	11.0%	2.1%	.309	4.53	12.2%	-0.4%	48	+0.61	3.92	106	84
Mitchell Tyranski L 2024 · 4.90 FIP	26	SU	4.90	21.0%	12.3%	3.7%	.234	3.46	20.5%	4.0%	57	-1.44	3.46	145	83
Jackson Lancaster L 2024 · 4.48 FIP	25	SU	4.48	24.0%	11.1%	3.6%	.355	5.36	18.3%	4.9%	93	+0.88	4.15	142	81
Nick Hagadone L 2013 · 4.75 FIP	27	SU	4.75	22.6%	15.0%	3.0%	.253	3.34	25.9%	19.0%	51	-1.41	2.97	141	81
Aaron Brown L 2019 · 4.04 FIP	27	SU	4.04	22.9%	13.5%	2.1%	.317	4.77	19.4%	6.7%	129	+0.73	4.04	269	80
Juan Grullon L 2016 · 4.64 FIP	26	SU	4.64	19.8%	10.9%	3.3%	.305	—	—	—	—	—	4.64	134	80
Haylen Green L 2023 · 4.09 FIP	25	SU	4.09	18.6%	10.8%	2.2%	.317	—	—	—	—	—	4.02	104	78
Mike Zagurski L 2012 · 4.48 FIP	29	SU	4.48	20.9%	11.7%	3.0%	.305	—	—	—	—	—	2.94	120	78
Mike Gosling L 2007 · 4.67 FIP	26	SU	4.67	19.5%	12.2%	3.0%	.346	5.66	11.4%	2.6%	25	+0.99	4.44	116	78
Jeff Ibarra L 2016 · 3.75 FIP	28	SU	3.75	17.8%	9.7%	1.7%	.321	3.29	19.2%	13.8%	66	-0.46	2.85	101	78
Bryan Harper L 2016 · 4.13 FIP	26	SU	4.13	19.3%	9.6%	2.6%	.197	4.63	14.9%	1.0%	46	+0.50	4.13	133	78
Doug Slaten L 2007 · 4.08 FIP	27	SU	4.08	17.2%	8.6%	2.5%	.316	3.81	17.6%	8.2%	73	-0.27	3.22	139	77
Brian Moran L 2015 · 4.50 FIP	26	SU	4.50	17.7%	14.1%	2.0%	.318	2.74	25.0%	17.4%	80	-1.76	1.80	421	77
Will Gilbert L 2019 · 4.42 FIP	25	SU	4.42	19.9%	10.3%	3.1%	.306	—	—	—	—	—	2.92	141	77
Ryan Verdugo L 2015 · 3.61 FIP	28	SU	3.61	19.8%	10.8%	1.5%	.281	3.36	22.7%	17.3%	82	-0.25	3.36	153	77
Ryan O'Rourke L 2015 · 3.85 FIP	27	SU	3.85	27.4%	12.9%	2.6%	.284	3.05	23.4%	16.7%	53	-0.80	3.05	145	77
Brad Kuntz L 2018 · 4.10 FIP	26	SU	4.10	20.9%	11.7%	2.4%	.352	—	—	—	—	—	2.35	197	77
David Rollins L 2017 · 5.58 FIP	27	SU	5.58	18.0%	12.1%	4.5%	.260	5.68	15.9%	12.5%	20	+0.10	3.59	132	77
Jake Rice L 2024 · 3.75 FIP	27	SU	3.75	21.8%	13.8%	1.4%	.273	5.90	16.5%	0.9%	54	+2.15	3.16	199	77
Robby Ahlstrom L 2024 · 3.89 FIP	25	SU	3.89	21.9%	11.6%	2.1%	.294	4.02	20.7%	11.1%	120	+0.13	3.79	332	77