Jose De La Rosa

P DSL Giants Black

Age 19 RHP 6'0" / 174 lbs ROK peak 0.1 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	17	ROKDSL Giants Bl…	16	26	2.77	3.29	19.4%	6.5%	—	K 13.2% · BB 8.1% · FIP 4.40
2027PROJ	19	MLB—	15	16	4.39	4.39	21.6%	8.6%	0.0
2028PROJ49% MLB	20	MLB—	11	12	4.33	4.29	22.2%	8.5%	0.0

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

Contract

No contract data on file.

CompsOsiris German (age 19) · Blake Workman (age 20) · Harold Cortijo (age 18)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 117108vR 100

ERA4.39

FIP4.39

K%21.6%

BB%8.6%

K-BB%13.0%

Proj IP16

Value2027 · WAR

Runs saved vs league avg · 16 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	17	ROK MLE	DSL Giants Black	16	0	26	108	21	7	2	0%	1.6	13.2%	8.1%	5.1%	2.5%	2.77	4.40	—
2025	17	ROK MLE	DSL Giants Black	16	0	26	108	21	7	2	0%	1.6	13.2%	8.1%	5.1%	2.5%	2.77	4.40	—
2025	17	ROK RAW	DSL Giants Black	16	0	26	108	21	7	2	0%	1.6	19.4%	6.5%	13.0%	1.9%	2.77	3.29	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	—	15	0	16	68	15	6	2	0%	1.1	21.6%	8.6%	13.0%	3.0%	4.39	4.39	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	—	23	0	25	104	23	9	3	0%	1.1	22.2%	8.5%	13.7%	2.9%	4.33	4.29	+0.1
2028	20	MLB CTX	—	11	0	12	51	11	4	1	0%	1.1	22.2%	8.5%	13.7%	2.9%	4.33	4.29	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		12	0	12	51	11	4	1	0%	1.0	22.2%	8.4%	13.7%	2.9%	4.33	3.91	+0.1
/ 200 IP	—	RAW		190	0	200	844	182	66	17	0%	1.1	22.2%	8.4%	13.7%	2.9%	4.33	3.91	+1.5
Career	—	MLE		16	0	26	108	14	9	3	0%	1.6	13.2%	8.1%	5.1%	2.5%	2.77	4.40	+0.1
/ 200 IP	—	MLE		123	0	200	831	110	67	21	0%	1.6	13.2%	8.1%	5.1%	2.5%	2.77	4.40	+0.6

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 De La Rosa (OGILVIE)	—	—	4.39	21.6%	8.6%	3.0%	—	4.29	22.2%	13.7%	25	-0.10	—	—	—
Osiris German R 2018 · 4.26 FIP	19	SU	4.26	20.6%	8.7%	3.3%	.346	3.15	26.3%	15.5%	59	-1.11	3.11	187	88
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	88
Harold Cortijo R 2017 · 4.46 FIP	18	SU	4.46	19.1%	9.8%	3.1%	.309	5.64	13.5%	2.2%	73	+1.18	4.15	179	87
Chris Gau R 2018 · 4.76 FIP	21	SU	4.76	20.0%	8.6%	4.1%	.290	3.19	29.5%	23.5%	37	-1.57	2.96	211	86
Jeff Bain R 2017 · 3.94 FIP	21	SU	3.94	19.7%	6.7%	3.0%	.339	4.22	19.1%	10.7%	274	+0.28	3.35	475	86
Sandy Lugo R 2015 · 3.86 FIP	21	SU	3.86	20.7%	9.5%	2.4%	.352	3.98	23.6%	12.5%	119	+0.12	3.48	146	86
Matt Walker R 2015 · 3.21 FIP	20	SU	3.21	24.8%	10.3%	1.7%	.326	3.74	19.1%	9.8%	178	+0.53	2.42	211	85
Sean Boyle R 2018 · 4.70 FIP	21	SU	4.70	21.3%	7.8%	4.4%	.342	2.87	22.6%	15.3%	86	-1.83	2.87	548	84
Alexander Campos R 2023 · 4.05 FIP	20	SU	4.05	17.0%	6.0%	3.0%	.281	4.66	11.1%	6.0%	135	+0.61	4.02	157	84
Addison Russ R 2017 · 3.62 FIP	22	SU	3.62	22.2%	7.9%	2.5%	.324	3.09	25.6%	17.5%	121	-0.53	3.08	194	84
Devon Roedahl R 2019 · 3.94 FIP	22	SU	3.94	19.7%	6.7%	3.0%	.305	4.64	16.5%	9.2%	100	+0.70	3.94	122	84
Yoel Diaz R 2018 · 3.26 FIP	19	SU	3.26	20.5%	9.7%	1.2%	.268	4.63	14.5%	-3.9%	42	+1.37	3.26	143	84
Collin Kober R 2017 · 3.39 FIP	22	SU	3.39	21.3%	7.5%	2.1%	.268	2.76	24.0%	17.9%	128	-0.63	2.38	294	83
Michael Gomez R 2019 · 3.32 FIP	22	SU	3.32	22.6%	9.2%	1.8%	.283	3.81	17.9%	8.3%	110	+0.49	3.27	286	83
Robinson Hernandez R 2019 · 3.38 FIP	20	SU	3.38	19.6%	9.0%	1.4%	.328	4.41	17.5%	7.0%	102	+1.03	2.63	166	83
Scott Williams R 2015 · 3.39 FIP	21	SU	3.39	22.0%	8.6%	1.9%	.238	3.73	19.3%	10.5%	76	+0.34	2.89	119	83
Danny Dopico R 2015 · 3.87 FIP	21	SU	3.87	25.4%	10.8%	2.8%	.333	3.90	22.8%	8.1%	173	+0.03	3.00	318	83
Cody Palmquist R 2016 · 4.31 FIP	22	SU	4.31	21.9%	9.0%	3.5%	.278	6.02	14.7%	7.1%	62	+1.71	4.31	104	83
Denny Brady R 2017 · 4.01 FIP	20	SU	4.01	18.8%	5.7%	3.2%	.368	3.29	18.7%	10.1%	124	-0.72	3.14	160	83
Yordin Chalas R 2023 · 4.56 FIP	19	SU	4.56	17.3%	10.6%	2.9%	.294	3.92	19.9%	7.8%	116	-0.64	3.67	140	82