Angel Salazar

P DSL NYY Yankees

Age 20 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	19	ROKDSL NYY Yanke…	11	25	6.20	3.34	20.4%	11.5%	—	K 13.8% · BB 14.4% · FIP 4.43
2027PROJ	20	MLBNYY	14	15	5.00	5.00	20.4%	12.8%	-0.1
2028PROJ49% MLB	21	MLBNYY	10	11	4.82	4.74	21.2%	11.6%	-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 100%

CompsJoangel Gonzalez (age 20) · Rolddy Muñoz (age 21) · Audry Lugo (age 20)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 128120vR 112

ERA5.00

FIP5.00

K%20.4%

BB%12.8%

K-BB%7.6%

Proj IP15

Value2027 · WAR

Runs saved vs league avg · 15 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 NYY Yankees	11	0	25	113	23	13	1	0%	2.2	13.8%	14.4%	-0.5%	1.2%	6.20	4.43	—
2026	19	ROK MLE	DSL NYY Yankees	11	0	25	113	23	13	1	0%	2.2	13.8%	14.4%	-0.5%	1.2%	6.20	4.43	—
2026	19	ROK RAW	DSL NYY Yankees	11	0	25	113	23	13	1	0%	2.2	20.4%	11.5%	8.8%	0.9%	6.20	3.34	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	NYY	14	0	15	63	13	8	2	0%	1.1	20.4%	12.8%	7.6%	2.9%	5.00	5.00	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	NYY	22	0	23	98	21	11	3	0%	1.1	21.2%	11.6%	9.6%	2.9%	4.82	4.74	-0.1
2028	21	MLB CTX	NYY	10	0	11	46	10	5	1	0%	1.1	21.2%	11.6%	9.6%	2.9%	4.82	4.74	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		11	0	11	48	10	6	1	0%	1.0	21.2%	11.6%	9.6%	2.9%	4.82	4.36	+0.0
/ 200 IP	—	RAW		190	0	200	844	175	105	17	0%	1.1	21.2%	11.6%	9.6%	2.9%	4.82	4.36	+0.4
Career	—	MLE		11	0	25	113	16	16	1	0%	2.2	13.8%	14.4%	-0.5%	1.2%	6.20	4.43	-0.1
/ 200 IP	—	MLE		89	0	200	916	127	132	11	0%	2.2	13.8%	14.4%	-0.5%	1.2%	6.20	4.43	-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
Angel Salazar (OGILVIE)	—	—	5.00	20.4%	12.8%	2.9%	—	4.74	21.2%	9.6%	23	-0.26	—	—	—
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	88
Rolddy Muñoz R 2021 · 4.32 FIP	21	SU	4.32	21.4%	13.7%	2.4%	.342	3.54	21.1%	9.8%	149	-0.78	3.18	290	85
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	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
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	85
Alix Hernandez R 2024 · 4.44 FIP	20	SU	4.44	21.7%	13.7%	2.6%	.300	5.16	23.0%	11.4%	78	+0.72	3.55	170	84
Carlos Campos R 2021 · 4.82 FIP	20	SU	4.82	20.4%	10.7%	3.8%	.304	5.85	15.3%	8.1%	19	+1.03	4.82	134	83
Blake Workman R 2018 · 4.00 FIP	20	SU	4.00	18.9%	9.5%	2.4%	.307	3.98	23.8%	19.5%	105	-0.02	3.09	213	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
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
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	83
Moises Morales R 2024 · 4.05 FIP	20	SU	4.05	19.9%	12.9%	1.8%	.191	4.07	18.3%	9.7%	139	+0.02	3.53	168	83
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	83
Bradley Hanner R 2019 · 3.98 FIP	20	SU	3.98	18.9%	13.9%	1.3%	.231	4.08	18.9%	3.9%	100	+0.10	2.70	354	83
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	82
Mike Morrison R 2016 · 4.86 FIP	22	SU	4.86	17.3%	10.7%	3.4%	.280	4.02	19.0%	7.1%	128	-0.84	3.36	145	82
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	82
Josnier Parra R 2023 · 4.56 FIP	21	SU	4.56	15.9%	9.8%	2.9%	.319	5.01	12.1%	2.9%	118	+0.45	3.76	150	82
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	82
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	82