Juan Cordero

P DSL Royals Ventura

Age 21 RHP ROK peak 0.1 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	20	ROKDSL Royals Ve…	12	28	2.54	2.50	26.8%	8.9%	—	K 18.2% · BB 11.2% · FIP 3.66
2027PROJ	21	MLBKC	16	17	4.60	4.60	21.8%	10.6%	-0.0
2028PROJ49% MLB	22	MLBKC	12	13	4.45	4.36	22.9%	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.

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 99%

CompsKyle Zurak (age 22) · Chris Gau (age 21) · Sandy Lugo (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 121112vR 104

ERA4.60

FIP4.60

K%21.8%

BB%10.6%

K-BB%11.2%

Proj IP17

Value2027 · WAR

Runs saved vs league avg · 17 IP

Grades · Contract

Scouting Grades

K†5055

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	20	ROK MLE	DSL Royals Ventura	12	0	28	112	30	10	1	0%	2.4	18.2%	11.2%	7.1%	1.2%	2.54	3.66	—
2026	20	ROK MLE	DSL Royals Ventura	12	0	28	112	30	10	1	0%	2.4	18.2%	11.2%	7.1%	1.2%	2.54	3.66	—
2026	20	ROK RAW	DSL Royals Ventura	12	0	28	112	30	10	1	0%	2.4	26.8%	8.9%	17.9%	0.9%	2.54	2.50	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	21	MLB	KC	16	0	17	72	16	8	2	0%	1.1	21.8%	10.6%	11.2%	2.9%	4.60	4.60	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	22	MLB MLE	KC	26	0	27	113	26	11	3	0%	1.0	22.9%	9.7%	13.2%	2.9%	4.45	4.36	+0.1
2028	22	MLB CTX	KC	12	0	13	55	13	5	2	0%	1.1	22.9%	9.7%	13.2%	2.9%	4.45	4.36	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		13	0	13	56	13	5	2	0%	1.0	22.9%	9.7%	13.2%	2.9%	4.45	3.98	+0.1
/ 200 IP	—	RAW		190	0	200	844	197	76	30	0%	1.1	22.9%	9.7%	13.2%	2.9%	4.45	3.98	+1.3
Career	—	MLE		12	0	28	112	20	12	1	0%	2.4	18.2%	11.2%	7.1%	1.2%	2.54	3.66	+0.1
/ 200 IP	—	MLE		85	0	200	791	144	88	10	0%	2.4	18.2%	11.2%	7.1%	1.2%	2.54	3.66	+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
Juan Cordero (OGILVIE)	—	—	4.60	21.8%	10.6%	2.9%	—	4.36	22.9%	13.2%	27	-0.24	—	—	—
Kyle Zurak R 2017 · 3.96 FIP	22	SU	3.96	21.2%	9.4%	2.6%	.302	3.42	16.7%	7.5%	121	-0.54	3.20	181	91
Chris Gau R 2018 · 4.76 FIP	21	SU	4.76	20.0%	8.6%	4.1%	.290	3.19	29.5%	23.5%	37	-1.57	2.96	211	87
Sandy Lugo R 2015 · 3.86 FIP	21	SU	3.86	20.7%	9.5%	2.4%	.352	3.98	23.6%	12.5%	119	+0.12	3.48	146	86
Gerlin Rosario R 2023 · 3.79 FIP	21	SU	3.79	20.3%	9.1%	2.3%	.294	4.94	18.1%	5.4%	153	+1.15	3.02	248	85
Addison Russ R 2017 · 3.62 FIP	22	SU	3.62	22.2%	7.9%	2.5%	.324	3.09	25.6%	17.5%	121	-0.53	3.08	194	85
Heath Holder R 2016 · 4.16 FIP	23	SU	4.16	21.1%	10.1%	2.8%	.287	3.30	22.3%	13.1%	247	-0.86	2.94	367	85
Logan Lombana R 2015 · 4.63 FIP	21	SU	4.63	16.9%	10.0%	3.1%	.315	4.02	15.7%	8.1%	123	-0.61	3.80	155	85
Cody Palmquist R 2016 · 4.31 FIP	22	SU	4.31	21.9%	9.0%	3.5%	.278	6.02	14.7%	7.1%	62	+1.71	4.31	104	84
Jeremy Beasley R 2017 · 4.71 FIP	21	SU	4.71	19.5%	11.6%	3.3%	.273	4.10	17.7%	8.7%	234	-0.61	3.17	337	84
Nick Lockhart R 2022 · 4.44 FIP	21	SU	4.44	22.0%	9.9%	3.5%	.275	4.63	16.1%	5.5%	43	+0.19	4.44	140	84
Justin Meis R 2021 · 4.07 FIP	21	SU	4.07	25.6%	13.6%	2.6%	.300	5.14	18.2%	5.5%	261	+1.07	3.68	411	84
Danny Dopico R 2015 · 3.87 FIP	21	SU	3.87	25.4%	10.8%	2.8%	.333	3.90	22.8%	8.1%	173	+0.03	3.00	318	84
Owen Holt R 2022 · 3.72 FIP	23	SU	3.72	20.7%	10.2%	2.0%	.258	4.51	18.7%	6.4%	107	+0.79	3.72	145	84
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	84
Joangel Gonzalez R 2024 · 4.23 FIP	20	SU	4.23	18.3%	11.7%	2.1%	.312	5.15	18.3%	2.5%	116	+0.92	3.93	151	84
David Garner R 2015 · 3.81 FIP	22	SU	3.81	21.7%	10.0%	2.3%	.282	4.52	19.8%	5.2%	98	+0.71	3.81	154	84
Reece Karalus R 2016 · 4.80 FIP	22	SU	4.80	18.5%	8.6%	4.0%	.298	4.81	14.8%	4.1%	103	+0.01	4.73	149	84
Zac Ryan R 2017 · 3.83 FIP	23	SU	3.83	20.5%	10.9%	2.0%	.233	3.93	21.6%	6.9%	124	+0.10	3.83	184	84
Audry Lugo R 2019 · 4.05 FIP	20	SU	4.05	18.5%	11.4%	2.0%	.247	5.30	15.6%	-0.4%	77	+1.25	4.05	113	83
Brandyn Sittinger R 2017 · 4.37 FIP	23	SU	4.37	22.2%	13.8%	2.5%	.324	3.97	21.2%	7.2%	72	-0.40	3.58	152	83