Carlos De La Rosa

P ACL Giants

Age 19 LHP 5'10" / 193 lbs ROK peak 0.3 · 2028

Overview

ROKPROSPECT

Scout OFP45ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	17	ROKDSL Giants Bl…	10	9	32	4.73	1.28	34.7%	6.8%	—	K 23.6% · BB 8.5% · FIP 2.70
2026	18	ROKSF	14	7	44	6.55	3.40	23.4%	13.4%	—	K 15.9% · BB 16.8% · FIP 4.65
2027PROJ	19	MLBSF	5	5	24	5.12	5.12	19.9%	13.8%	-0.1
2028PROJ49% MLB	20	MLBSF	4	4	20	4.92	4.83	20.8%	12.2%	0.0

Next 2 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff50Control50FB velo55

Career WAR0 WAR median (P10 -0 / P90 1, comp-based) · star 0% · didn't stick 91%

CompsKelvin Rosario (age 17) · Elier Morillo (age 17) · Deyer Zapata (age 18)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 114122vR 130

ERA5.12

FIP5.12

K%19.9%

BB%13.8%

K-BB%6.1%

Proj IP24

Value2027 · WAR

Runs saved vs league avg · 24 IP

Grades · Contract

Scouting Grades

OFP—45

STUF—50

CTRL—50

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	17	ROK MLE	DSL Giants Black	10	9	32	147	51	10	1	90%	3.2	23.6%	8.5%	15.1%	0.9%	4.73	2.70	—
2025	17	ROK MLE	DSL Giants Black	10	9	32	147	51	10	1	90%	3.2	23.6%	8.5%	15.1%	0.9%	4.73	2.70	—
2025	17	ROK RAW	DSL Giants Black	10	9	32	147	51	10	1	90%	3.2	34.7%	6.8%	27.9%	0.7%	4.73	1.28	—
2026	18	ROK MLE	ACL Giants	14	7	44	201	47	27	2	50%	3.1	15.9%	16.8%	-0.9%	1.4%	6.55	4.65	—
2026	18	ROK MLE	ACL Giants	14	7	44	201	47	27	2	50%	3.1	15.9%	16.8%	-0.9%	1.4%	6.55	4.65	—
2026	18	ROK RAW	ACL Giants	14	7	44	201	47	27	2	50%	3.1	23.4%	13.4%	10.0%	1.0%	6.55	3.40	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	SF	5	5	24	101	20	14	3	100%	4.8	19.9%	13.8%	6.1%	2.9%	5.12	5.12	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	SF	8	8	42	176	36	22	5	100%	5.2	20.8%	12.2%	8.5%	2.8%	4.92	4.83	+0.0
2028	20	MLB CTX	SF	4	4	20	84	18	10	2	100%	5.0	20.8%	12.2%	8.5%	2.8%	4.92	4.83	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		4	4	20	86	18	11	2	100%	5.1	20.8%	12.2%	8.5%	2.8%	4.92	4.45	+0.1
/ 200 IP	—	RAW		39	39	200	844	176	108	20	100%	5.1	20.8%	12.2%	8.5%	2.8%	4.92	4.45	+1.1
Career	—	MLE		24	16	76	348	67	46	4	67%	3.2	19.1%	13.3%	5.9%	1.2%	5.78	3.82	+0.0
/ 200 IP	—	MLE		63	42	200	912	175	121	11	67%	3.2	19.1%	13.3%	5.9%	1.2%	5.78	3.82	+0.2

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
Carlos De La Rosa (OGILVIE)	—	—	5.12	19.9%	13.8%	2.9%	—	4.83	20.8%	8.5%	42	-0.29	—	—	—
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	81
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	81
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
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	79
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	78
Bodi Rascon L 2021 · 4.18 FIP	20	SP-	4.18	15.4%	8.8%	2.3%	.271	5.30	15.7%	3.9%	143	+1.12	4.18	218	78
Thomas Ireland L 2023 · 4.64 FIP	21	SP-	4.64	16.7%	8.7%	3.4%	.286	3.79	17.1%	7.8%	206	-0.85	2.95	250	77
Gabe Morales L 2018 · 5.12 FIP	19	SP-	5.12	19.3%	21.0%	1.8%	.313	4.23	22.9%	8.7%	124	-0.89	2.92	268	77
Hector Acosta L 2018 · 5.05 FIP	19	SP-	5.05	15.2%	11.0%	3.4%	.313	5.38	6.6%	-2.9%	47	+0.33	3.57	123	77
Luichi Casilla L 2024 · 4.62 FIP	19	SP-	4.62	22.4%	20.2%	1.6%	.372	2.62	25.7%	16.1%	34	-2.00	2.62	133	77
Juan Rojas L 2023 · 5.60 FIP	19	SP-	5.60	13.5%	14.4%	3.3%	.286	4.28	16.9%	2.0%	178	-1.32	2.74	282	76
Brandon Herbold L 2024 · 6.27 FIP	19	SP-	6.27	17.2%	17.6%	4.3%	.296	5.06	19.8%	-3.9%	44	-1.21	3.72	105	76
Gabriel Noguera L 2017 · 4.41 FIP	21	SP-	4.41	15.6%	15.0%	1.3%	.231	5.01	14.2%	2.1%	95	+0.60	4.41	174	76
Gabriel Agostini L 2023 · 5.14 FIP	19	SP-	5.14	13.5%	12.4%	2.9%	.246	5.63	9.5%	-16.8%	12	+0.49	1.97	122	75
Yeury Gervacio L 2018 · 4.88 FIP	19	SW	4.88	13.9%	13.8%	2.2%	.376	4.70	17.8%	4.2%	65	-0.18	4.10	184	75
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	75
Noel Vela L 2018 · 5.10 FIP	19	SP-	5.10	17.0%	16.0%	2.6%	.404	4.61	20.2%	5.2%	98	-0.49	4.48	255	74
Edgardo Ibarra L 2022 · 5.37 FIP	19	SW	5.37	16.2%	16.6%	2.8%	.250	5.26	14.4%	-5.7%	63	-0.11	5.26	142	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
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

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	33	20.4%	12.8%	1.10	4.99
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Matt Anderson ('05)	1.3	51	19.3%	13.5%	1.05	5.19
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Ron Piche ('60-'66, -3 WAR*)	1.1	44	20.6%*	12.8%*	1.14*	5.06*
Mike Holtz ('06)	1.2	34	20.4%	12.0%	0.94	4.76
John Hudek ('99)	1.0	40	23.0%	13.7%	1.30	4.43