Fraimin Marte

P ACL Cubs

Age 26 RHP 6'3" / 170 lbs ROK

Overview

ROKPROSPECT

MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	22	ROKDSL Cubs Blue	17	3	31	3.77	4.07	18.0%	12.9%	—	K 12.2% · BB 16.2% · FIP 5.22
2024	23	ROKCHC	16	0	23	5.87	3.75	27.5%	14.7%	—	K 18.7% · BB 18.4% · FIP 5.46
2027PROJ	26	MLBCHC	13	0	14	4.65	4.65	23.1%	11.6%	-0.0
2028PROJ36% MLB	27	MLBCHC	7	0	7	4.64	4.65	23.1%	11.5%	-0.0

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

Contract

No contract data on file.

CompsJesus Pirela (age 26) · Ronald Peña (age 26) · Josh Zeid (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 122113vR 105

ERA4.65

FIP4.65

K%23.1%

BB%11.6%

K-BB%11.5%

Proj IP14

Value2027 · 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)
2021	20	ROK MLE	DSL Cardinals Red	15	1	21	103	15	21	0	7%	1.4	9.9%	25.5%	-15.6%	0.0%	7.17	5.49	—
2021	20	ROK RAW	DSL Cardinals Red	15	1	21	103	15	21	0	7%	1.4	14.6%	20.4%	-5.8%	0.0%	7.17	4.65	—
2022	21	ROK MLE	DSL Cubs Red	17	0	36	150	37	23	1	0%	2.1	16.8%	19.2%	-2.4%	0.8%	3.79	4.56	—
2022	21	ROK RAW	DSL Cubs Red	17	0	36	150	37	23	1	0%	2.1	24.7%	15.3%	9.3%	0.7%	3.79	3.32	—
2023	22	ROK MLE	DSL Cubs Blue	17	3	31	139	25	18	2	18%	1.8	12.2%	16.2%	-4.0%	2.0%	3.77	5.22	—
2023	22	ROK RAW	DSL Cubs Blue	17	3	31	139	25	18	2	18%	1.8	18.0%	12.9%	5.0%	1.4%	3.77	4.07	—
2024	23	ROK MLE	ACL Cubs	16	0	23	102	28	15	2	0%	1.4	18.7%	18.4%	0.3%	2.9%	5.87	5.46	—
2024	23	ROK MLE	ACL Cubs	16	0	23	102	28	15	2	0%	1.4	18.7%	18.4%	0.3%	2.9%	5.87	5.46	—
2024	23	ROK RAW	ACL Cubs	16	0	23	102	28	15	2	0%	1.4	27.5%	14.7%	12.7%	2.0%	5.87	3.75	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	CHC	13	0	14	59	14	7	2	0%	1.1	23.1%	11.6%	11.5%	3.0%	4.65	4.65	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	CHC	19	0	20	84	20	10	3	0%	1.1	23.1%	11.5%	11.7%	3.0%	4.64	4.65	-0.0
2028	27	MLB CTX	CHC	7	0	7	30	7	3	1	0%	1.0	23.1%	11.5%	11.7%	3.0%	4.64	4.65	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	0	7	31	7	4	1	0%	1.0	23.1%	11.5%	11.7%	3.0%	4.64	4.27	+0.0
/ 200 IP	—	RAW		190	0	200	844	193	110	28	0%	1.1	23.1%	11.5%	11.7%	3.0%	4.64	4.27	+0.7
Career	—	MLE		65	4	111	494	71	96	7	6%	1.7	14.5%	19.5%	-5.0%	1.4%	4.86	5.13	-0.0
/ 200 IP	—	MLE		117	7	200	890	129	173	13	6%	1.7	14.5%	19.5%	-5.0%	1.4%	4.86	5.13	-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
Fraimin Marte (OGILVIE)	—	—	4.65	23.1%	11.6%	3.0%	—	4.65	23.1%	11.7%	20	+0.00	—	—	—
Jesus Pirela R 2015 · 3.84 FIP	26	SU	3.84	23.7%	11.6%	2.3%	.305	3.92	17.1%	13.9%	45	+0.08	3.24	161	86
Ronald Peña R 2018 · 4.19 FIP	26	SU	4.19	23.4%	11.6%	2.9%	.273	4.52	18.7%	7.1%	88	+0.33	3.72	187	85
Josh Zeid R 2013 · 4.00 FIP	26	SU	4.00	20.3%	9.3%	2.6%	.287	4.75	16.2%	4.8%	183	+0.75	4.00	313	85
Jason Stoffel R 2015 · 3.61 FIP	26	SU	3.61	23.4%	10.1%	2.2%	.267	3.49	27.2%	19.2%	59	-0.12	3.49	103	85
Brandon Cunniff R 2015 · 4.28 FIP	26	SU	4.28	24.5%	13.2%	2.9%	.256	4.32	20.3%	9.0%	115	+0.04	3.89	180	83
Daniel Corcino R 2017 · 3.93 FIP	26	SU	3.93	21.7%	11.4%	2.2%	.292	4.91	19.0%	7.9%	223	+0.98	3.84	318	83
Fernando Rodriguez Jr. R 2011 · 3.85 FIP	27	SU	3.85	24.7%	10.8%	2.7%	.315	3.90	25.2%	16.5%	70	+0.05	3.34	335	82
Chaz Roe R 2013 · 4.02 FIP	26	SU	4.02	25.3%	10.5%	3.1%	.259	2.81	24.6%	16.2%	133	-1.21	1.72	279	82
Michael Flynn R 2023 · 4.31 FIP	26	SU	4.31	26.5%	11.2%	3.7%	.299	4.36	21.4%	10.8%	92	+0.05	3.89	168	82
Grant Balfour R 2004 · 3.79 FIP	26	SU	3.79	24.4%	11.6%	2.3%	.292	4.01	24.8%	8.3%	25	+0.22	2.04	533	82
Francisco Del Rosario R 2007 · 3.93 FIP	26	SU	3.93	19.7%	9.4%	2.4%	.356	—	—	—	—	—	3.93	194	82
Jose Rafael De Paula R 2017 · 4.46 FIP	26	SU	4.46	19.9%	9.8%	3.3%	.278	4.79	22.7%	10.3%	89	+0.33	2.64	315	82
Carlos Fisher R 2009 · 3.90 FIP	26	SU	3.90	21.2%	12.8%	1.8%	.317	3.80	18.2%	8.1%	46	-0.10	2.48	245	81
Guillermo Moscoso R 2009 · 3.56 FIP	25	SU	3.56	18.8%	9.4%	1.6%	.311	4.33	15.8%	8.5%	178	+0.77	3.56	486	81
Sam Gardner R 2023 · 4.04 FIP	26	SU	4.04	23.8%	15.1%	1.9%	.298	3.23	26.7%	16.4%	76	-0.81	2.28	121	81
Jon Leicester R 2004 · 4.69 FIP	25	SU	4.69	20.0%	8.6%	4.0%	.280	4.44	11.0%	2.0%	32	-0.25	3.76	113	81
Scott Dohmann R 2004 · 4.44 FIP	26	SU	4.44	24.7%	9.6%	4.0%	.270	4.80	20.6%	8.5%	112	+0.36	4.28	173	81
Cody Tucker R 2024 · 4.97 FIP	25	SU	4.97	22.0%	12.0%	4.0%	.272	5.36	15.8%	-1.9%	40	+0.39	4.97	105	80
Jackson Hicks R 2023 · 3.90 FIP	25	SU	3.90	22.6%	10.5%	2.5%	.336	—	—	—	—	—	2.17	116	80
Brian Sanches R 2006 · 5.30 FIP	27	SU	5.30	22.4%	10.2%	5.1%	.295	4.52	19.0%	10.1%	82	-0.78	3.39	229	80