Jose Sanchez

P DSL NYY Bombers

Age 18 LHP ROK peak 0.2 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	17	ROKDSL NYY Bombe…	10	7	31	3.77	4.39	29.9%	13.4%	—	K 20.3% · BB 16.7% · FIP 6.53
2027PROJ	18	MLBNYY	4	4	18	5.15	5.15	22.4%	14.7%	-0.1
2028PROJ49% MLB	19	MLBNYY	3	3	14	4.93	4.84	22.9%	12.9%	0.0

Next 2 projected WAR -0.0Projected 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 97%

CompsBrayan Mendoza (age 18) · Deyer Zapata (age 18) · Elier Morillo (age 17)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 115123vR 131

ERA5.15

FIP5.15

K%22.4%

BB%14.7%

K-BB%7.7%

Proj IP18

Value2027 · WAR

Runs saved vs league avg · 18 IP

Grades · Contract

Scouting Grades

K†5555

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 Bombers	10	7	31	127	38	17	5	70%	3.1	20.3%	16.7%	3.6%	5.5%	3.77	6.53	—
2026	17	ROK MLE	DSL NYY Bombers	10	7	31	127	38	17	5	70%	3.1	20.3%	16.7%	3.6%	5.5%	3.77	6.53	—
2026	17	ROK RAW	DSL NYY Bombers	10	7	31	127	38	17	5	70%	3.1	29.9%	13.4%	16.5%	3.9%	3.77	4.39	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	18	MLB	NYY	4	4	18	76	17	11	2	100%	4.5	22.4%	14.7%	7.7%	3.1%	5.15	5.15	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	19	MLB MLE	NYY	7	7	29	124	28	16	4	100%	4.2	22.9%	12.9%	9.9%	3.0%	4.93	4.84	+0.0
2028	19	MLB CTX	NYY	3	3	14	59	14	8	2	100%	4.7	22.9%	12.9%	9.9%	3.0%	4.93	4.84	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		3	3	14	61	14	8	2	100%	4.8	22.9%	12.9%	9.9%	3.0%	4.93	4.46	+0.1
/ 200 IP	—	RAW		45	45	200	844	194	111	28	100%	4.4	22.9%	12.9%	9.9%	3.0%	4.93	4.46	+1.0
Career	—	MLE		10	7	31	127	26	21	7	70%	3.1	20.3%	16.7%	3.6%	5.5%	3.77	6.53	+0.0
/ 200 IP	—	MLE		65	45	200	819	167	137	45	70%	3.1	20.3%	16.7%	3.6%	5.5%	3.77	6.53	+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
Jose Sanchez (OGILVIE)	—	—	5.15	22.4%	14.7%	3.1%	—	4.84	22.9%	9.9%	29	-0.31	—	—	—
Brayan Mendoza L 2022 · 5.29 FIP	18	SP-	5.29	17.9%	15.0%	3.3%	.273	3.89	17.1%	6.3%	221	-1.40	3.59	398	84
Deyer Zapata L 2022 · 4.25 FIP	18	SP	4.25	18.8%	14.3%	1.7%	.309	5.18	17.5%	4.0%	50	+0.93	3.77	130	79
Elier Morillo L 2023 · 4.12 FIP	17	SP-	4.12	18.1%	12.7%	1.7%	.418	4.31	28.7%	8.3%	89	+0.19	2.67	115	77
Javier Chacon L 2022 · 5.61 FIP	19	SP-	5.61	22.5%	13.1%	5.0%	.295	4.63	20.3%	3.5%	94	-0.98	4.56	202	77
Liam Sullivan L 2023 · 5.78 FIP	21	SP	5.78	25.7%	20.5%	4.1%	.290	5.79	20.9%	7.2%	141	+0.01	4.45	156	77
Jordan Woods L 2024 · 4.51 FIP	20	SP	4.51	20.5%	10.3%	3.3%	.329	4.18	20.5%	8.3%	139	-0.33	3.92	170	76
Jackson Humphries L 2023 · 4.48 FIP	19	SP	4.48	19.8%	14.0%	2.3%	.302	5.94	20.8%	1.5%	248	+1.46	4.48	305	74
Ethan Lindow L 2017 · 4.33 FIP	18	SP	4.33	19.1%	12.4%	2.3%	.329	2.95	19.8%	14.0%	111	-1.38	2.95	435	74
Jeremy Pilon L 2024 · 4.86 FIP	18	SP-	4.86	22.1%	21.7%	1.6%	.279	4.10	17.9%	-1.9%	83	-0.76	3.99	144	74
Gabriel Agostini L 2022 · 4.84 FIP	18	SP-	4.84	14.6%	15.0%	1.9%	.311	5.24	12.7%	-2.7%	55	+0.40	1.97	122	73
Spencer Giesting L 2022 · 5.80 FIP	21	SP-	5.80	20.8%	16.6%	4.3%	.290	4.30	19.0%	8.0%	394	-1.50	3.58	460	73
Jagger Haynes L 2023 · 4.25 FIP	20	SP	4.25	19.7%	13.0%	2.1%	.303	4.98	17.7%	3.9%	349	+0.73	4.25	374	72
Luke Little L 2021 · 4.02 FIP	20	SP-	4.02	25.8%	12.5%	2.8%	.200	2.91	28.0%	12.3%	155	-1.11	2.74	277	72
Kelvin Rosario L 2024 · 4.69 FIP	17	SP-	4.69	16.7%	11.2%	2.9%	.280	6.63	15.9%	-2.9%	54	+1.94	4.34	126	72
Jesus Gomez L 2019 · 5.12 FIP	18	SP	5.12	19.3%	12.4%	3.8%	.275	4.40	24.3%	9.8%	23	-0.72	4.22	121	72
Jeremy Gonzalez L 2023 · 4.02 FIP	18	SP	4.02	19.6%	10.6%	2.2%	.290	4.53	14.4%	-1.1%	83	+0.51	3.39	148	71
Jay Groome L 2017 · 4.56 FIP	18	SP	4.56	21.6%	14.8%	2.6%	.345	—	—	—	—	—	4.46	420	71
Reinold Navarro L 2024 · 4.92 FIP	17	SP	4.92	21.7%	22.6%	1.4%	.211	4.32	29.4%	5.7%	95	-0.60	3.55	119	71
Jacob Bresnahan L 2024 · 4.95 FIP	19	SP	4.95	20.2%	14.1%	3.2%	.292	3.92	23.2%	11.1%	208	-1.03	3.03	277	71
Alex Ayala Jr. L 2022 · 4.20 FIP	20	SW	4.20	20.7%	12.3%	2.3%	.271	5.99	13.6%	-3.1%	71	+1.79	4.20	128	70