Guanchi Martinez

Guanchi Martinez P DSL Cardinals

Age 20 RHP 6'0" / 185 lbs ROK peak 0.1 · 2028

2027 FULL-SEASON PROJECTION0 act + 14 ip · rates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 115107vR 99

ERA4.31

FIP4.31

K%22.3%

BB%8.5%

K-BB%13.8%

ROS IP14

Value2026 · WAR

Runs saved vs league avg · 14 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)
2023	16	ROK MLE	DSL Cardinals	8	0	12	51	7	6	0	0%	1.5	9.3%	14.7%	-5.4%	0.0%	3.86	4.17	—
2023	16	ROK RAW	DSL Cardinals	8	0	12	51	7	6	0	0%	1.5	13.7%	11.8%	2.0%	0.0%	3.86	3.44	—
2024	17	ROK MLE	DSL Cardinals	15	2	23	113	13	6	0	13%	1.5	7.8%	6.6%	1.2%	0.0%	5.09	3.28	—
2024	17	ROK MLE	DSL Cardinals	15	2	23	113	13	6	0	13%	1.5	7.8%	6.6%	1.2%	0.0%	5.09	3.28	—
2024	17	ROK RAW	DSL Cardinals	15	2	23	113	13	6	0	13%	1.5	11.5%	5.3%	6.2%	0.0%	5.09	2.75	—
2025	18	ROK MLE	DSL Cardinals	2	0	3	15	1	4	1	0%	1.5	6.7%	26.7%	-20.0%	6.7%	6.00	9.57	—
2025	18	ROK MLE	DSL Cardinals	2	0	3	15	1	4	1	0%	1.5	6.7%	26.7%	-20.0%	6.7%	6.00	9.57	—
2025	18	ROK RAW	DSL Cardinals	2	0	3	15	1	4	1	0%	1.5	6.7%	26.7%	-20.0%	6.7%	6.00	10.77	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	STL	13	0	14	59	13	5	2	0%	1.1	22.3%	8.5%	13.8%	3.0%	4.31	4.31	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	STL	19	0	20	84	19	7	2	0%	1.1	22.8%	8.3%	14.5%	2.9%	4.25	4.21	+0.1
2028	21	MLB CTX	STL	10	0	10	42	10	4	1	0%	1.0	22.8%	8.3%	14.5%	2.9%	4.25	4.21	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	9	3	1	0%	1.1	22.8%	8.3%	14.5%	2.9%	4.25	3.84	+0.1
/ 200 IP	—	RAW		190	0	200	844	183	61	20	0%	1.1	22.8%	8.3%	14.5%	2.9%	4.25	3.84	+1.7
Career	—	MLE		25	2	38	179	15	19	1	8%	1.5	8.2%	10.6%	-2.5%	0.6%	4.78	4.06	+0.1
/ 200 IP	—	MLE		133	11	200	950	78	101	5	8%	1.5	8.2%	10.6%	-2.5%	0.6%	4.78	4.06	+0.8

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
Guanchi Martinez (OGILVIE)	—	—	4.31	22.3%	8.5%	3.0%	—	4.21	22.8%	14.5%	20	-0.10	—	—	—
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	87
Enmanuel Marcano R 2019 · 4.32 FIP	20	SU	4.32	21.1%	8.4%	3.5%	.268	—	—	—	—	—	3.84	138	87
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	87
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	86
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	86
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
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
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	86
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	86
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	86
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	85
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	85
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
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	85
Ismael Cabrera R 2015 · 3.56 FIP	21	SU	3.56	19.0%	7.4%	2.1%	.250	5.19	17.4%	6.6%	117	+1.63	3.56	133	85
Kenny Oakley R 2016 · 3.50 FIP	22	SU	3.50	23.8%	9.1%	2.3%	.348	3.87	17.3%	7.8%	115	+0.37	3.13	144	84
Jorge Julio R 2001 · 3.48 FIP	22	SU	3.48	22.2%	9.1%	2.0%	.348	4.31	20.4%	10.1%	199	+0.83	3.48	467	84
Kyle Zurak R 2017 · 3.96 FIP	22	SU	3.96	21.2%	9.4%	2.6%	.302	3.42	16.7%	7.5%	121	-0.54	3.20	181	84
Victor Castaneda R 2019 · 3.95 FIP	20	SU	3.95	21.1%	8.9%	2.7%	.348	4.99	20.1%	9.2%	230	+1.04	2.90	377	84
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	84