Marco Corcho

P ACL Dodgers

Age 22 RHP 6'2" / 200 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	19	MIX2 levels	21	27	4.00	3.25	26.8%	15.4%	—	K 18.8% · BB 18.7% · FIP 4.42
2025	20	ALAA	35	44	8.24	4.59	16.5%	14.7%	—	K 12.2% · BB 17.4% · FIP 5.15
2026	21	ROKLAD	9	7	18.41	9.65	16.4%	40.0%	—	K 11.1% · BB 50.0% · FIP 8.49
2027PROJ	22	MLBLAD	43	45	6.60	6.60	11.7%	20.0%	-1.0
2028PROJ49% MLB	23	MLBLAD	22	23	6.17	6.03	14.5%	17.5%	-0.4
2029PROJ70% MLB	24	MLBLAD	31	33	5.82	5.68	16.2%	16.0%	-0.4

Next 3 projected WAR -1.8Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff25Control20Command20

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 99%

CompsNoah Takacs (age 22) · Salvador Justo (age 22) · Chay Yeager (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 158150vR 142

ERA6.60

FIP6.60

K%11.7%

BB%20.0%

K-BB%-8.3%

Proj IP45

Value2027 · WAR

Runs saved vs league avg · 45 IP

Grades · Contract

Scouting Grades

STUF2525

CTRL2020

CMD2020

K†3040

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)
2023	18	ROK MLE	DSL LAD Mega	18	0	22	104	29	7	0	0%	1.2	19.0%	8.4%	10.5%	0.0%	4.43	2.56	—
2023	18	ROK RAW	DSL LAD Mega	18	0	22	104	29	7	0	0%	1.2	27.9%	6.7%	21.2%	0.0%	4.43	1.44	—
2024	19	MIX MLE	2 levels	21	0	27	123	33	19	1	0%	1.3	18.8%	18.7%	0.1%	1.0%	4.00	4.42	—
2024	19	MIX MLE	2 levels	21	0	27	123	33	19	1	0%	1.3	18.8%	18.7%	0.1%	1.0%	4.00	4.42	—
2024	19	MIX RAW	2 levels	21	0	27	123	33	19	1	0%	1.3	26.8%	15.4%	11.4%	0.8%	4.00	3.25	—
2025	20	A MLE	Rancho Cucamonga Quakes	35	0	44	231	38	34	3	0%	1.2	12.2%	17.4%	-5.2%	1.6%	8.24	5.15	—
2025	20	A MLE	Rancho Cucamonga Quakes	35	0	44	231	38	34	3	0%	1.2	12.2%	17.4%	-5.2%	1.6%	8.24	5.15	—
2025	20	A RAW	Rancho Cucamonga Quakes	35	0	44	231	38	34	3	0%	1.2	16.5%	14.7%	1.7%	1.3%	8.24	4.59	—
2026	21	ROK MLE	ACL Dodgers	9	0	7	55	9	22	0	0%	0.8	11.1%	50.0%	-38.9%	0.0%	18.41	8.49	—
2026	21	ROK MLE	ACL Dodgers	9	0	7	55	9	22	0	0%	0.8	11.1%	50.0%	-38.9%	0.0%	18.41	8.49	—
2026	21	ROK RAW	ACL Dodgers	9	0	7	55	9	22	0	0%	0.8	16.4%	40.0%	-23.6%	0.0%	18.41	9.65	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	LAD	43	0	45	190	22	38	5	0%	1.0	11.7%	20.0%	-8.3%	2.9%	6.60	6.60	-1.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	LAD	44	0	46	195	28	34	6	0%	1.1	14.5%	17.5%	-3.0%	2.8%	6.17	6.03	-0.7
2029	24	MLB MLE	LAD	45	0	48	201	33	32	6	0%	1.1	16.2%	16.0%	0.2%	2.8%	5.82	5.68	-0.6
2028	23	MLB CTX	LAD	22	0	23	97	14	17	3	0%	1.0	14.5%	17.5%	-3.0%	2.8%	6.17	6.03	-0.4
2029	24	MLB CTX	LAD	31	0	33	139	23	22	4	0%	1.1	16.2%	16.0%	0.2%	2.8%	5.82	5.68	-0.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		53	0	56	236	37	39	7	0%	1.1	15.5%	16.6%	-1.1%	2.8%	5.96	5.44	-0.6
/ 200 IP	—	RAW		190	0	200	844	132	140	25	0%	1.1	15.5%	16.6%	-1.1%	2.8%	5.96	5.44	-2.1
Career	—	MLE		83	0	100	513	77	99	5	0%	1.2	15.0%	19.4%	-4.3%	1.0%	7.00	4.81	-1.4
/ 200 IP	—	MLE		165	0	200	1023	154	198	10	0%	1.2	15.0%	19.4%	-4.3%	1.0%	7.00	4.81	-3.0

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
Marco Corcho (OGILVIE)	—	—	6.60	11.7%	20.0%	2.9%	—	5.85	15.4%	-1.4%	94	-0.75	—	—	—
Noah Takacs R 2024 · 5.77 FIP	22	SU	5.77	12.5%	16.4%	3.0%	.301	5.68	13.4%	-2.3%	91	-0.09	5.25	130	93
Salvador Justo R 2017 · 5.57 FIP	22	SU	5.57	12.8%	17.3%	2.5%	.328	5.22	15.7%	4.6%	107	-0.35	4.32	218	90
Chay Yeager R 2024 · 5.60 FIP	21	SU	5.60	13.1%	15.7%	2.9%	.261	4.20	22.8%	12.5%	56	-1.40	4.20	110	88
Derrick Turnbow R 2000 · 6.58 FIP	22	SU	6.58	13.8%	19.9%	3.9%	.257	1.43	28.3%	22.6%	15	-5.15	1.43	245	88
Bernard Jose R 2024 · 6.14 FIP	21	SU	6.14	14.4%	19.0%	3.4%	.309	4.95	18.5%	6.4%	134	-1.19	4.44	222	87
Cole Ayers R 2022 · 5.58 FIP	22	SU	5.58	13.0%	15.4%	2.9%	.305	4.01	21.2%	10.1%	152	-1.57	3.58	171	87
Cory Thompson R 2017 · 5.42 FIP	22	SU	5.42	15.2%	15.7%	2.9%	.289	4.34	16.3%	10.6%	131	-1.08	3.59	218	86
Yunior Thibo R 2021 · 6.35 FIP	23	SU	6.35	11.5%	15.8%	4.0%	.312	4.82	15.6%	-1.0%	95	-1.53	4.42	110	84
Tyler Ferguson R 2016 · 7.21 FIP	22	SU	7.21	11.2%	32.2%	1.8%	.297	5.40	17.3%	3.4%	64	-1.81	2.53	422	84
Roman Phansalkar R 2022 · 6.38 FIP	24	SU	6.38	13.5%	18.4%	3.8%	.245	4.77	17.4%	4.0%	147	-1.61	4.33	164	84
Dylan Rheault R 2015 · 5.75 FIP	23	SU	5.75	6.5%	14.9%	2.4%	.288	4.11	14.1%	4.8%	96	-1.64	3.88	198	84
Bryce McGowan R 2022 · 5.90 FIP	22	SU	5.90	17.0%	22.9%	2.4%	.368	4.36	20.6%	6.6%	145	-1.54	3.71	178	82
Brian Metoyer R 2018 · 6.80 FIP	21	SU	6.80	11.9%	17.9%	4.4%	.244	3.05	27.2%	13.9%	33	-3.75	2.70	143	82
Jake Gozzo R 2021 · 7.10 FIP	24	SU	7.10	14.3%	30.2%	2.5%	.200	5.35	15.8%	-0.7%	129	-1.75	4.32	162	82
Jack Hartman R 2022 · 5.78 FIP	24	SU	5.78	15.1%	20.3%	2.5%	.357	3.99	19.5%	8.6%	143	-1.79	3.46	161	82
Leonardo Rodriguez R 2021 · 5.65 FIP	23	SU	5.65	12.6%	16.3%	2.8%	.367	—	—	—	—	—	3.00	142	82
Steven Klimek R 2015 · 6.17 FIP	21	SU	6.17	7.6%	20.8%	1.9%	.150	3.79	16.3%	7.6%	147	-2.38	3.10	295	82
Alec Kenilvort R 2016 · 6.44 FIP	23	SU	6.44	15.1%	17.0%	4.5%	.333	3.97	18.3%	9.1%	85	-2.47	2.97	109	82
Antoni Cuello R 2024 · 5.98 FIP	21	SU	5.98	12.3%	16.9%	3.2%	.318	6.66	16.6%	-2.1%	52	+0.68	4.40	116	81
Chris Muller R 2018 · 5.55 FIP	22	SU	5.55	12.3%	19.1%	1.9%	.191	3.94	27.0%	13.1%	73	-1.61	3.39	176	81

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	0.7	46	14.2%	17.8%	1.10	6.19
Brian Bruney ('12)	1.3	43	21.2%	15.8%	0.94	4.68
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Matt Anderson ('05)	1.3	51	19.3%	13.5%	1.05	5.19
Ron Piche ('60-'66, -3 WAR*)	1.1	44	20.6%*	12.8%*	1.14*	5.06*
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*