Diego Carrillo

P DSL NYY Bombers

Age 20 RHP 6'1" / 177 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	18	ROKDSL NYY Bombe…	16	35	3.82	4.60	21.7%	11.8%	—	K 14.8% · BB 14.8% · FIP 6.05
2026	19	ROKDSL NYY Bombe…	14	23	8.10	5.41	18.9%	13.1%	—	K 12.8% · BB 16.4% · FIP 6.61
2027PROJ	20	MLBNYY	15	16	5.40	5.40	19.1%	14.5%	-0.2
2028PROJ49% MLB	21	MLBNYY	15	16	5.15	5.05	20.2%	12.8%	-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%

CompsTyler Smith (age 22) · Drew Pestka (age 20) · Michael Perez (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 136128vR 119

ERA5.40

FIP5.40

K%19.1%

BB%14.5%

K-BB%4.5%

Proj IP16

Value2027 · WAR

Runs saved vs league avg · 16 IP

Grades · Contract

Scouting Grades

K†4550

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	18	ROK MLE	DSL NYY Bombers	16	0	35	152	33	18	5	0%	2.2	14.8%	14.8%	-0.0%	4.2%	3.82	6.05	—
2025	18	ROK MLE	DSL NYY Bombers	16	0	35	152	33	18	5	0%	2.2	14.8%	14.8%	-0.0%	4.2%	3.82	6.05	—
2025	18	ROK RAW	DSL NYY Bombers	16	0	35	152	33	18	5	0%	2.2	21.7%	11.8%	9.9%	3.3%	3.82	4.60	—
2026	19	ROK MLE	DSL NYY Bombers	14	0	23	122	23	16	4	0%	1.7	12.8%	16.4%	-3.6%	4.6%	8.10	6.61	—
2026	19	ROK MLE	DSL NYY Bombers	14	0	23	122	23	16	4	0%	1.7	12.8%	16.4%	-3.6%	4.6%	8.10	6.61	—
2026	19	ROK RAW	DSL NYY Bombers	14	0	23	122	23	16	4	0%	1.7	18.9%	13.1%	5.7%	3.3%	8.10	5.41	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	NYY	15	0	16	68	13	10	2	0%	1.1	19.1%	14.5%	4.5%	3.1%	5.40	5.40	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	NYY	32	0	33	141	28	18	4	0%	1.0	20.2%	12.8%	7.4%	3.0%	5.15	5.05	-0.2
2028	21	MLB CTX	NYY	15	0	16	68	14	9	2	0%	1.1	20.2%	12.8%	7.4%	3.0%	5.15	5.05	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		16	0	16	69	14	9	2	0%	1.0	20.2%	12.8%	7.4%	3.0%	5.15	4.67	-0.0
/ 200 IP	—	RAW		190	0	200	844	171	110	24	0%	1.1	20.2%	12.8%	7.4%	3.0%	5.15	4.67	-0.3
Career	—	MLE		30	0	59	274	38	42	12	0%	2.0	13.9%	15.5%	-1.6%	4.4%	5.52	6.30	-0.2
/ 200 IP	—	MLE		102	0	200	934	130	145	41	0%	2.0	13.9%	15.5%	-1.6%	4.4%	5.52	6.30	-1.2

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
Diego Carrillo (OGILVIE)	—	—	5.40	19.1%	14.5%	3.1%	—	5.05	20.2%	7.4%	33	-0.35	—	—	—
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	87
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	87
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
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	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	86
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	86
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	85
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	85
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	85
Brayan Cabello R 2024 · 5.24 FIP	20	SU	5.24	16.1%	12.4%	3.5%	.262	4.19	11.6%	-0.1%	65	-1.05	3.82	152	85
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	84
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	84
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	84
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	84
Alejandro Méndez R 2021 · 5.70 FIP	20	SU	5.70	14.6%	14.5%	3.6%	.321	5.60	15.8%	-7.5%	91	-0.10	4.65	136	84
Carson Hobbs R 2024 · 5.63 FIP	22	SU	5.63	18.9%	13.6%	4.4%	.303	3.97	22.0%	10.4%	118	-1.66	3.54	143	84
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	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	83
Jake Bird R 2018 · 4.59 FIP	22	SU	4.59	17.7%	13.0%	2.4%	.254	3.65	16.1%	4.9%	156	-0.94	3.06	525	83
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	83