Andrew Marrero

P Corpus Christi Hooks

Age 27 RHP 5'10" / 196 lbs AA

Overview

AAPROSPECT

MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	24	AASTL	41	0	53	6.28	4.57	27.0%	12.4%	—	K 21.9% · BB 13.7% · FIP 4.82
2025	25	AASTL	24	0	35	5.19	5.03	27.8%	18.9%	—	K 22.5% · BB 20.8% · FIP 5.60
2026	26	MIX3 levels	25	1	31	6.97	4.52	29.1%	11.3%	—	K 23.8% · BB 11.8% · FIP 5.08
2027PROJ	27	MLBHOU	17	0	18	5.20	5.20	22.1%	14.3%	-0.1
2028PROJ36% MLB	28	MLBHOU	7	0	7	5.16	5.20	22.1%	14.0%	-0.1

Next 2 projected WAR -0.2Projected 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 99%

CompsSpencer Bivens (age 28) · Cole McDonald (age 27) · Joe Colón J (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 132124vR 116

ERA5.20

FIP5.20

K%22.1%

BB%14.3%

K-BB%7.8%

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)
2021	21	A MLE	Palm Beach Cardinals	13	0	13	75	22	14	1	0%	1.0	21.7%	22.0%	-0.3%	1.9%	10.12	5.09	—
2021	21	A RAW	Palm Beach Cardinals	13	0	13	75	22	14	1	0%	1.0	29.3%	18.7%	10.7%	1.3%	10.12	3.92	—
2022	22	A MLE	Palm Beach Cardinals	32	0	35	146	55	21	1	0%	1.1	27.9%	17.0%	10.9%	1.0%	1.27	3.45	—
2022	22	A RAW	Palm Beach Cardinals	32	0	35	146	55	21	1	0%	1.1	37.7%	14.4%	23.3%	0.7%	1.27	2.14	—
2023	23	A+ MLE	Peoria Chiefs	38	0	60	269	85	36	9	0%	1.6	24.3%	15.4%	8.9%	3.8%	4.05	5.10	—
2023	23	A+ RAW	Peoria Chiefs	38	0	60	269	85	36	9	0%	1.6	31.6%	13.4%	18.2%	3.3%	4.05	4.02	—
2024	24	AA MLE	Springfield Cardinals	41	0	53	233	63	29	9	0%	1.3	21.9%	13.7%	8.2%	3.3%	6.28	4.82	—
2024	24	AA MLE	Springfield Cardinals	41	0	53	233	63	29	9	0%	1.3	21.9%	13.7%	8.2%	3.3%	6.28	4.82	—
2024	24	AA RAW	Springfield Cardinals	41	0	53	233	63	29	9	0%	1.3	27.0%	12.4%	14.6%	3.9%	6.28	4.57	—
2025	25	AA MLE	Springfield Cardinals	24	0	35	169	47	32	5	0%	1.4	22.5%	20.8%	1.7%	3.2%	5.19	5.60	—
2025	25	AA MLE	Springfield Cardinals	24	0	35	169	47	32	5	0%	1.4	22.5%	20.8%	1.7%	3.2%	5.19	5.60	—
2025	25	AA RAW	Springfield Cardinals	24	0	35	169	47	32	5	0%	1.4	27.8%	18.9%	8.9%	3.0%	5.19	5.03	—
2026	26	MIX MLE	3 levels	25	1	31	141	41	16	6	4%	1.2	23.8%	11.8%	12.0%	4.5%	6.97	5.08	—
2026	26	MIX MLE	3 levels	25	1	31	141	41	16	6	4%	1.2	23.8%	11.8%	12.0%	4.5%	6.97	5.08	—
2026	26	MIX RAW	3 levels	25	1	31	141	41	16	6	4%	1.2	29.1%	11.3%	17.7%	4.3%	6.97	4.52	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	HOU	17	0	18	76	17	11	2	0%	1.1	22.1%	14.3%	7.8%	3.2%	5.20	5.20	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	HOU	19	0	20	84	19	12	3	0%	1.1	22.1%	14.0%	8.1%	3.3%	5.16	5.20	-0.1
2028	28	MLB CTX	HOU	7	0	7	30	7	4	1	0%	1.0	22.1%	14.0%	8.1%	3.3%	5.16	5.20	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	0	7	31	7	4	1	0%	1.0	22.1%	14.0%	8.1%	3.3%	5.16	4.82	-0.0
/ 200 IP	—	RAW		190	0	200	844	193	110	28	0%	1.1	22.1%	14.0%	8.1%	3.3%	5.16	4.82	-0.6
Career	—	MLE		173	1	227	1033	245	166	33	1%	1.3	23.7%	16.1%	7.6%	3.2%	5.07	4.88	-0.2
/ 200 IP	—	MLE		152	1	200	909	216	146	29	1%	1.3	23.7%	16.1%	7.6%	3.2%	5.07	4.88	-1.5

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
Andrew Marrero (OGILVIE)	—	—	5.20	22.1%	14.3%	3.2%	—	5.20	22.1%	8.1%	20	+0.00	—	—	—
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.85	18.1%	10.3%	272	-1.01	3.52	391	87
Cole McDonald R 2024 · 5.01 FIP	27	SU	5.01	20.9%	12.7%	3.8%	.281	—	—	—	—	—	2.81	153	86
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	85
Scott Proctor R 2004 · 5.43 FIP	27	SU	5.43	17.8%	11.9%	4.2%	.308	4.36	18.8%	11.0%	233	-1.07	3.68	337	84
Derek Eitel R 2015 · 4.35 FIP	27	SU	4.35	18.1%	13.9%	1.8%	.338	4.26	19.7%	5.0%	113	-0.09	3.96	138	83
Ronald Peña R 2019 · 4.55 FIP	27	SU	4.55	20.5%	12.6%	2.9%	.355	4.49	16.5%	6.1%	39	-0.06	3.72	187	83
Beck Wheeler R 2016 · 4.42 FIP	27	SU	4.42	24.9%	14.5%	2.9%	.360	5.40	15.3%	3.1%	58	+0.98	3.46	173	82
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	82
Michael Ynoa R 2019 · 4.68 FIP	27	SU	4.68	23.1%	13.8%	3.3%	.281	—	—	—	—	—	3.30	142	81
Nick Ernst R 2022 · 5.05 FIP	25	SU	5.05	21.9%	14.6%	3.5%	.275	—	—	—	—	—	3.56	117	81
Armando Rivero R 2015 · 4.29 FIP	27	SU	4.29	18.7%	13.5%	1.9%	.256	2.70	32.9%	19.8%	68	-1.59	2.70	125	81
Scott Dohmann R 2005 · 4.93 FIP	27	SU	4.93	24.5%	12.6%	4.2%	.321	4.69	18.9%	7.5%	96	-0.24	4.28	173	81
Keagan Gillies R 2024 · 4.02 FIP	26	SU	4.02	21.1%	13.3%	1.9%	.306	3.91	20.0%	14.4%	74	-0.11	2.93	177	80
Theo Denlinger R 2023 · 4.19 FIP	27	SU	4.19	20.1%	15.1%	1.6%	.266	4.23	15.3%	9.9%	41	+0.04	2.92	140	80
Kevin Lenik R 2019 · 4.91 FIP	27	SU	4.91	21.7%	14.9%	3.2%	.205	—	—	—	—	—	3.00	107	80
Thad Weber R 2013 · 5.18 FIP	28	SU	5.18	16.4%	13.1%	3.3%	.244	4.52	12.2%	6.0%	308	-0.66	4.40	378	80
Jake Haberer R 2022 · 5.24 FIP	27	SU	5.24	24.3%	16.0%	4.0%	.324	5.08	16.4%	0.9%	62	-0.16	3.46	183	80
Francisco Rodriguez R 2010 · 4.33 FIP	27	SU	4.33	17.2%	11.0%	2.4%	.283	5.00	11.9%	3.4%	14	+0.67	3.16	334	80
David Holman R 2017 · 5.53 FIP	27	SU	5.53	15.6%	12.7%	3.9%	.324	5.45	9.6%	0.5%	107	-0.08	5.28	129	80
Arcenio Leon R 2015 · 4.73 FIP	28	SU	4.73	17.9%	12.5%	2.9%	.450	3.37	18.0%	9.1%	85	-1.36	3.00	115	80