Jerlin Madera

P DSL Royals Ventura

Age 20 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	19	ROKDSL Royals Ve…	11	21	5.23	4.31	18.6%	16.5%	—	K 12.6% · BB 20.6% · FIP 5.44
2027PROJ	20	MLBKC	11	12	5.52	5.52	20.4%	16.9%	-0.1
2028PROJ49% MLB	21	MLBKC	10	10	5.24	5.13	21.1%	14.5%	-0.1

Next 2 projected WAR -0.2Projected 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 100%

CompsMichael Perez (age 21) · Brandon Dufault (age 22) · Paul Gervase (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 138130vR 122

ERA5.52

FIP5.52

K%20.4%

BB%16.9%

K-BB%3.5%

Proj IP12

Value2027 · WAR

Runs saved vs league avg · 12 IP

Grades · Contract

Scouting Grades

K†5050

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)
2026	19	ROK MLE	DSL Royals Ventura	11	0	21	97	18	16	1	0%	1.9	12.6%	20.6%	-8.0%	1.4%	5.23	5.44	—
2026	19	ROK MLE	DSL Royals Ventura	11	0	21	97	18	16	1	0%	1.9	12.6%	20.6%	-8.0%	1.4%	5.23	5.44	—
2026	19	ROK RAW	DSL Royals Ventura	11	0	21	97	18	16	1	0%	1.9	18.6%	16.5%	2.1%	1.0%	5.23	4.31	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	KC	11	0	12	51	10	9	1	0%	1.1	20.4%	16.9%	3.5%	3.0%	5.52	5.52	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	KC	19	0	20	84	18	12	2	0%	1.1	21.1%	14.5%	6.6%	2.9%	5.24	5.13	-0.1
2028	21	MLB CTX	KC	10	0	10	42	9	6	1	0%	1.0	21.1%	14.5%	6.6%	2.9%	5.24	5.13	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	9	6	1	0%	1.1	21.1%	14.5%	6.6%	2.9%	5.24	4.75	-0.0
/ 200 IP	—	RAW		190	0	200	844	183	122	20	0%	1.1	21.1%	14.5%	6.6%	2.9%	5.24	4.75	-0.5
Career	—	MLE		11	0	21	97	12	20	1	0%	1.9	12.6%	20.6%	-8.0%	1.4%	5.23	5.44	-0.1
/ 200 IP	—	MLE		106	0	200	939	118	194	14	0%	1.9	12.6%	20.6%	-8.0%	1.4%	5.23	5.44	-1.3

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
Jerlin Madera (OGILVIE)	—	—	5.52	20.4%	16.9%	3.0%	—	5.13	21.1%	6.6%	20	-0.39	—	—	—
Michael Perez R 2024 · 5.44 FIP	21	SU	5.44	18.3%	16.1%	3.4%	.296	4.65	23.4%	7.7%	132	-0.79	4.38	153	87
Brandon Dufault R 2021 · 5.32 FIP	22	SU	5.32	22.1%	15.9%	3.8%	.278	4.83	21.0%	4.2%	66	-0.49	4.38	152	87
Paul Gervase R 2022 · 4.91 FIP	22	SU	4.91	20.3%	16.2%	2.7%	.345	3.76	29.3%	16.0%	152	-1.15	3.38	211	87
Tommy DeJuneas R 2017 · 4.72 FIP	21	SU	4.72	19.1%	15.5%	2.3%	.357	4.59	20.8%	4.9%	100	-0.13	3.93	178	86
Isaac Gallegos R 2024 · 4.40 FIP	21	SU	4.40	22.9%	17.8%	1.8%	.267	3.09	19.9%	10.5%	106	-1.31	2.89	125	85
Will Varmette R 2024 · 5.06 FIP	21	SU	5.06	22.8%	19.3%	2.6%	.302	5.13	16.1%	2.3%	135	+0.07	4.69	182	85
Elison Joseph R 2021 · 5.31 FIP	20	SU	5.31	17.4%	19.2%	2.3%	.254	4.55	23.5%	6.8%	133	-0.76	3.32	217	85
José Mesa Jr. R 2016 · 5.41 FIP	22	SU	5.41	22.4%	17.2%	3.7%	.311	4.00	22.8%	9.6%	113	-1.41	3.33	176	85
Jordy Luciano R 2022 · 4.97 FIP	21	SU	4.97	24.9%	22.3%	2.1%	.306	5.33	17.1%	-4.8%	80	+0.36	4.97	104	85
Hudson Leach R 2024 · 5.37 FIP	22	SU	5.37	20.5%	20.0%	2.7%	.261	4.54	20.9%	3.1%	71	-0.83	2.77	101	85
Tyler Smith R 2018 · 5.30 FIP	22	SU	5.30	17.8%	14.3%	3.4%	.329	4.35	19.8%	7.8%	94	-0.95	3.44	121	84
Adam Ravenelle R 2015 · 4.32 FIP	22	SU	4.32	19.6%	14.8%	1.8%	.322	5.06	17.1%	4.3%	130	+0.74	4.32	165	84
Daniel Lloyd R 2021 · 5.40 FIP	20	SU	5.40	20.4%	22.4%	2.2%	.367	4.15	18.0%	8.5%	226	-1.25	3.59	319	83
Daniel Procopio R 2017 · 4.33 FIP	21	SU	4.33	23.4%	18.8%	1.5%	.283	4.43	20.5%	6.5%	81	+0.10	4.16	103	83
Morgan McSweeney R 2021 · 5.36 FIP	23	SU	5.36	21.9%	16.3%	3.7%	.295	5.15	18.5%	5.3%	93	-0.21	3.20	213	83
Orlando Romero R 2017 · 4.53 FIP	20	SU	4.53	19.4%	14.8%	2.2%	.294	4.66	18.5%	6.7%	62	+0.13	3.92	162	83
Conor Grady R 2021 · 5.28 FIP	22	SU	5.28	17.2%	19.0%	2.2%	.242	4.62	16.9%	5.1%	96	-0.66	4.62	108	82
Nick Kuzia R 2017 · 5.18 FIP	21	SU	5.18	16.5%	15.2%	2.8%	.361	5.35	17.6%	6.6%	60	+0.17	4.54	231	82
Will Kobos R 2018 · 5.58 FIP	20	SW	5.58	19.3%	16.0%	3.8%	.313	3.46	26.6%	11.6%	76	-2.12	2.44	139	82
Jackson Rose R 2018 · 5.32 FIP	22	SU	5.32	17.3%	17.2%	2.8%	.267	4.77	23.5%	16.5%	56	-0.55	3.33	147	82