Freddy Lopez

P DSL NYY Yankees

Age 18 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	17	ROKDSL NYY Yanke…	11	27	7.33	5.54	19.7%	19.7%	—	K 13.4% · BB 24.6% · FIP 6.77
2027PROJ	18	MLBNYY	15	16	5.98	5.98	19.9%	20.0%	-0.2
2028PROJ49% MLB	19	MLBNYY	12	13	5.61	5.48	20.8%	16.8%	-0.1

Next 2 projected WAR -0.4Projected 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%

CompsDanny Hilario (age 18) · Carlos De Los Santos (age 18) · Junior Sanchez (age 18)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 147139vR 130

ERA5.98

FIP5.98

K%19.9%

BB%20.0%

K-BB%-0.1%

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)
2026	17	ROK MLE	DSL NYY Yankees	11	0	27	137	27	27	3	0%	2.5	13.4%	24.6%	-11.2%	3.1%	7.33	6.77	—
2026	17	ROK MLE	DSL NYY Yankees	11	0	27	137	27	27	3	0%	2.5	13.4%	24.6%	-11.2%	3.1%	7.33	6.77	—
2026	17	ROK RAW	DSL NYY Yankees	11	0	27	137	27	27	3	0%	2.5	19.7%	19.7%	0.0%	2.2%	7.33	5.54	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	18	MLB	NYY	15	0	16	68	13	14	2	0%	1.1	19.9%	20.0%	-0.1%	3.0%	5.98	5.98	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	19	MLB MLE	NYY	24	0	26	108	22	18	3	0%	1.1	20.8%	16.8%	3.9%	2.9%	5.61	5.48	-0.3
2028	19	MLB CTX	NYY	12	0	13	55	11	9	2	0%	1.1	20.8%	16.8%	3.9%	2.9%	5.61	5.48	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		12	0	13	53	11	9	2	0%	1.0	20.8%	16.8%	3.9%	2.9%	5.61	5.09	-0.1
/ 200 IP	—	RAW		190	0	200	844	175	144	32	0%	1.1	20.8%	16.8%	3.9%	2.9%	5.61	5.09	-1.3
Career	—	MLE		11	0	27	137	18	34	4	0%	2.5	13.4%	24.6%	-11.2%	3.1%	7.33	6.77	-0.3
/ 200 IP	—	MLE		81	0	200	1015	136	250	31	0%	2.5	13.4%	24.6%	-11.2%	3.1%	7.33	6.77	-2.1

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
Freddy Lopez (OGILVIE)	—	—	5.98	19.9%	20.0%	3.0%	—	5.48	20.8%	3.9%	26	-0.50	—	—	—
Danny Hilario R 2023 · 5.65 FIP	18	SU	5.65	17.8%	19.4%	2.9%	.241	3.68	17.2%	6.9%	68	-1.97	3.58	107	83
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	82
Junior Sanchez R 2024 · 4.79 FIP	18	SU	4.79	17.1%	15.3%	2.2%	.356	4.53	18.7%	8.6%	219	-0.26	3.36	294	82
Elvis Jerez R 2019 · 6.39 FIP	19	SU	6.39	14.2%	22.8%	2.9%	.292	3.52	27.9%	8.0%	50	-2.87	3.13	109	82
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	81
Brendan Hardy R 2018 · 5.18 FIP	18	SU	5.18	17.0%	19.7%	1.8%	.227	6.99	15.9%	-17.2%	25	+1.81	2.54	137	81
Alexis Paulino R 2022 · 5.30 FIP	19	SU	5.30	16.9%	21.2%	1.7%	.384	4.94	17.6%	-5.1%	73	-0.36	4.39	102	80
Anthony Cruz R 2022 · 5.38 FIP	19	SW	5.38	16.7%	16.6%	2.9%	.237	4.19	18.2%	5.6%	180	-1.19	3.32	272	80
Elison Joseph R 2021 · 5.31 FIP	20	SU	5.31	17.4%	19.2%	2.3%	.254	4.55	23.5%	6.8%	133	-0.76	3.32	217	80
Will Kobos R 2018 · 5.58 FIP	20	SW	5.58	19.3%	16.0%	3.8%	.313	3.46	26.6%	11.6%	76	-2.12	2.44	139	79
Juan Arnaud R 2022 · 6.33 FIP	19	SU	6.33	14.6%	23.7%	2.7%	.330	4.40	18.8%	1.6%	102	-1.93	3.43	184	79
Jesus Colina R 2023 · 5.30 FIP	18	SU	5.30	15.3%	15.2%	2.9%	.265	4.00	17.2%	7.6%	103	-1.30	3.82	128	78
Wilberson Liendo R 2018 · 5.89 FIP	18	SU	5.89	14.7%	14.9%	3.9%	.242	3.47	17.1%	5.3%	58	-2.42	3.47	130	78
Over Galue R 2021 · 5.01 FIP	20	SW	5.01	17.5%	17.0%	2.2%	.346	4.16	18.2%	3.6%	94	-0.85	4.16	122	78
Jose Garces R 2022 · 6.98 FIP	18	SU	6.98	13.2%	26.8%	2.9%	.286	5.42	12.4%	-8.5%	97	-1.56	3.49	191	78
Kendeglys Virguez R 2022 · 5.34 FIP	18	SU	5.34	17.7%	20.7%	2.1%	.359	4.93	18.5%	4.0%	79	-0.41	4.10	142	77
Edwin Núñez R 2021 · 6.60 FIP	19	SU	6.60	15.2%	22.9%	3.4%	.343	4.73	16.4%	0.7%	170	-1.87	4.31	288	77
Wilber Perez R 2017 · 4.85 FIP	19	SU	4.85	14.9%	15.4%	1.9%	.362	4.14	18.7%	4.8%	140	-0.71	3.02	265	76
Christian Rodriguez R 2023 · 5.51 FIP	18	SU	5.51	15.5%	21.4%	1.8%	.268	4.93	17.0%	1.1%	169	-0.58	4.34	183	76
Alejandro Gomez R 2021 · 5.60 FIP	18	SU	5.60	14.1%	13.0%	3.7%	.329	4.13	17.6%	4.5%	134	-1.47	3.39	155	76