Miguel Liendo

P DSL Angels

Age 19 RHP 6'1" / 188 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	17	ROKLAA	16	23	7.04	4.32	22.4%	15.5%	—	K 15.2% · BB 19.4% · FIP 5.63
2026	18	ROKLAA	14	21	3.05	4.16	21.1%	12.6%	—	K 14.3% · BB 15.8% · FIP 5.51
2027PROJ	19	MLBLAA	12	13	5.36	5.36	20.1%	15.3%	-0.1
2028PROJ49% MLB	20	MLBLAA	10	11	5.11	5.01	20.9%	13.4%	-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 99%

CompsAlejandro Lugo (age 18) · Drew Pestka (age 20) · Michael Perez (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 135127vR 119

ERA5.36

FIP5.36

K%20.1%

BB%15.3%

K-BB%4.8%

Proj IP13

Value2027 · WAR

Runs saved vs league avg · 13 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)
2025	17	ROK MLE	DSL Angels	16	0	23	116	26	18	2	0%	1.4	15.2%	19.4%	-4.2%	2.5%	7.04	5.63	—
2025	17	ROK MLE	DSL Angels	16	0	23	116	26	18	2	0%	1.4	15.2%	19.4%	-4.2%	2.5%	7.04	5.63	—
2025	17	ROK RAW	DSL Angels	16	0	23	116	26	18	2	0%	1.4	22.4%	15.5%	6.9%	1.7%	7.04	4.32	—
2026	18	ROK MLE	DSL Angels	14	0	21	95	20	12	2	0%	1.5	14.3%	15.8%	-1.5%	2.9%	3.05	5.51	—
2026	18	ROK MLE	DSL Angels	14	0	21	95	20	12	2	0%	1.5	14.3%	15.8%	-1.5%	2.9%	3.05	5.51	—
2026	18	ROK RAW	DSL Angels	14	0	21	95	20	12	2	0%	1.5	21.1%	12.6%	8.4%	2.1%	3.05	4.16	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	LAA	12	0	13	55	11	8	2	0%	1.1	20.1%	15.3%	4.8%	3.0%	5.36	5.36	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	LAA	21	0	22	92	19	12	3	0%	1.0	20.9%	13.4%	7.6%	2.9%	5.11	5.01	-0.1
2028	20	MLB CTX	LAA	10	0	11	46	10	6	1	0%	1.1	20.9%	13.4%	7.6%	2.9%	5.11	5.01	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		10	0	11	45	9	6	1	0%	1.1	20.9%	13.4%	7.6%	2.9%	5.11	4.63	-0.0
/ 200 IP	—	RAW		190	0	200	844	169	112	19	0%	1.1	20.9%	13.4%	7.6%	2.9%	5.11	4.63	-0.2
Career	—	MLE		30	0	44	211	31	38	6	0%	1.5	14.8%	17.8%	-2.9%	2.7%	5.15	5.57	-0.1
/ 200 IP	—	MLE		137	0	200	966	143	172	26	0%	1.5	14.8%	17.8%	-2.9%	2.7%	5.15	5.57	-1.1

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 Liendo (OGILVIE)	—	—	5.36	20.1%	15.3%	3.0%	—	5.01	20.9%	7.6%	22	-0.35	—	—	—
Alejandro Lugo R 2021 · 4.91 FIP	18	SU	4.91	20.4%	16.7%	2.6%	.265	4.96	16.7%	3.1%	98	+0.05	3.77	159	90
Drew Pestka R 2024 · 4.26 FIP	20	SU	4.26	19.0%	15.1%	1.6%	.298	4.55	18.1%	0.7%	83	+0.29	3.42	100	88
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
Efrailin Ramos R 2024 · 4.31 FIP	18	SU	4.31	21.0%	15.7%	1.8%	.284	3.35	17.0%	6.4%	106	-0.96	3.11	142	87
Carlos De Los Santos R 2019 · 5.68 FIP	18	SU	5.68	16.9%	16.0%	3.6%	.286	3.95	20.9%	3.2%	86	-1.73	3.67	173	87
Jonathan Jimenez R 2023 · 5.41 FIP	19	SU	5.41	16.4%	16.2%	3.0%	.333	5.09	14.1%	2.2%	178	-0.32	3.49	189	87
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	86
Michael Brewer R 2021 · 4.30 FIP	20	SU	4.30	23.7%	16.2%	2.1%	.303	4.69	19.7%	6.3%	114	+0.39	3.14	144	86
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
Aneudy Duarte R 2017 · 4.26 FIP	19	SU	4.26	20.4%	13.5%	2.1%	.320	4.79	17.1%	5.4%	34	+0.53	4.26	102	85
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	84
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	84
Devon Fisher R 2016 · 4.39 FIP	20	SU	4.39	16.5%	12.5%	2.0%	.333	5.76	15.1%	0.9%	88	+1.37	4.39	102	84
Gerson Moreno R 2016 · 4.48 FIP	20	SU	4.48	18.6%	14.8%	2.0%	.278	4.13	23.0%	9.1%	67	-0.35	3.37	349	84
Kevin Camacho R 2024 · 4.84 FIP	19	SU	4.84	15.3%	12.9%	2.5%	.271	4.71	19.2%	0.8%	68	-0.13	4.12	113	84
Kyle Hinton R 2018 · 4.17 FIP	21	SU	4.17	23.5%	15.0%	2.1%	.275	5.69	17.7%	-0.7%	75	+1.52	4.17	106	84
Tim Naughton R 2017 · 4.53 FIP	21	SU	4.53	17.9%	15.6%	1.8%	.312	3.58	20.7%	6.4%	83	-0.95	2.93	305	84
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	83
Kevin Rodriguez R 2019 · 4.37 FIP	18	SU	4.37	17.4%	12.8%	2.0%	.279	4.14	16.7%	7.6%	41	-0.23	2.34	188	83
Luis Alvarado R 2018 · 5.24 FIP	21	SU	5.24	20.2%	12.4%	4.2%	.276	5.16	18.7%	4.4%	140	-0.08	4.89	162	83