Derek Cueto

P DSL Miami

Age 21 RHP 5'10" / 167 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	19	ROKDSL Miami	12	38	3.79	3.71	22.6%	11.6%	—	K 15.4% · BB 14.5% · FIP 4.69
2027PROJ	21	MLBMIA	22	23	4.88	4.88	21.5%	12.5%	-0.1
2028PROJ49% MLB	22	MLBMIA	17	18	4.60	4.50	22.6%	11.1%	-0.0

Next 2 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsAlix Hernandez (age 20) · Jesus Gamez (age 21) · Brandon Komar (age 20)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 126118vR 110

ERA4.88

FIP4.88

K%21.5%

BB%12.5%

K-BB%9.0%

Proj IP23

Value2027 · WAR

Runs saved vs league avg · 23 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)
2025	19	ROK MLE	DSL Miami	12	0	38	155	35	18	3	0%	3.2	15.4%	14.5%	0.8%	1.9%	3.79	4.69	—
2025	19	ROK MLE	DSL Miami	12	0	38	155	35	18	3	0%	3.2	15.4%	14.5%	0.8%	1.9%	3.79	4.69	—
2025	19	ROK RAW	DSL Miami	12	0	38	155	35	18	3	0%	3.2	22.6%	11.6%	11.0%	1.9%	3.79	3.71	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	21	MLB	MIA	22	0	23	97	21	12	3	0%	1.0	21.5%	12.5%	9.0%	3.0%	4.88	4.88	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	22	MLB MLE	MIA	34	0	36	152	34	17	4	0%	1.1	22.6%	11.1%	11.5%	2.9%	4.68	4.58	-0.0
2028	22	MLB CTX	MIA	17	0	18	76	17	8	2	0%	1.1	22.6%	11.1%	11.5%	2.8%	4.60	4.50	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		17	0	18	75	17	8	2	0%	1.0	22.6%	11.1%	11.5%	2.8%	4.60	4.12	+0.1
/ 200 IP	—	RAW		190	0	200	844	193	91	23	0%	1.1	22.6%	11.1%	11.5%	2.8%	4.60	4.12	+1.0
Career	—	MLE		12	0	38	155	24	22	3	0%	3.2	15.4%	14.5%	0.8%	1.9%	3.79	4.69	-0.0
/ 200 IP	—	MLE		63	0	200	816	125	118	16	0%	3.2	15.4%	14.5%	0.8%	1.9%	3.79	4.69	-0.1

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
Derek Cueto (OGILVIE)	—	—	4.88	21.5%	12.5%	3.0%	—	4.58	22.6%	11.5%	36	-0.30	—	—	—
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	86
Jesus Gamez R 2024 · 3.81 FIP	21	SU	3.81	25.4%	14.0%	2.0%	.321	4.28	27.2%	2.8%	77	+0.47	3.42	105	84
Brandon Komar R 2019 · 4.77 FIP	20	SW	4.77	17.7%	11.6%	3.1%	.327	4.93	16.7%	5.7%	198	+0.16	3.00	538	82
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	82
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	82
Enrique De Los Rios R 2016 · 4.40 FIP	21	SU	4.40	16.4%	10.8%	2.4%	.289	3.85	13.6%	8.3%	126	-0.55	3.57	166	81
Marc Davis R 2022 · 5.26 FIP	22	SU	5.26	20.7%	14.0%	3.9%	.151	4.87	17.1%	-0.3%	88	-0.39	4.02	111	81
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	81
Hunter Stanley R 2022 · 3.84 FIP	24	SU	3.84	18.9%	10.1%	1.9%	.270	5.26	17.3%	7.3%	148	+1.42	3.84	220	80
Francis Jones R 2018 · 5.19 FIP	21	SU	5.19	16.3%	10.5%	3.9%	.328	—	—	—	—	—	3.63	147	80
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	79
Luis Romero R 2017 · 5.00 FIP	23	SU	5.00	22.1%	11.9%	4.1%	.367	4.26	21.6%	12.5%	132	-0.74	4.00	293	79
Jayson McKinley R 2017 · 4.39 FIP	23	SU	4.39	17.5%	11.4%	2.4%	.308	3.60	20.4%	11.3%	134	-0.79	2.35	173	79
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	79
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	79
Ben Madison R 2019 · 3.72 FIP	21	SU	3.72	16.9%	10.0%	1.5%	.268	2.47	31.3%	15.4%	27	-1.25	2.47	183	78
Hayden Snelsire R 2024 · 5.10 FIP	23	SU	5.10	18.9%	13.8%	3.4%	.272	4.28	20.0%	13.7%	135	-0.82	3.83	178	78
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	78
Dylan Heid R 2022 · 4.70 FIP	24	SU	4.70	21.6%	16.9%	2.4%	.287	3.33	22.6%	9.0%	103	-1.37	2.66	135	78
Orlando Ortiz-Mayr R 2022 · 4.61 FIP	24	SU	4.61	21.0%	13.2%	2.9%	.341	4.74	15.7%	4.0%	343	+0.13	3.65	492	78

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	0.3	29	22.2%	11.6%	1.14	4.76
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
José Cisnero ('24)	1.4	46	24.0%	11.3%	1.01	4.16
David Aardsma ('15)	1.7	48	23.1%	12.4%	1.09	4.27