Carlos Martinez

P DSL Tigers 2

Age 21 RHP 6'1" / 165 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	19	ROKDSL Tigers 2	14	3	16	20.81	9.41	3.7%	29.9%	—	K 2.5% · BB 37.4% · FIP 8.31
2026	20	ROKDSL Tigers 2	11	11	28	9.00	4.56	10.9%	13.6%	—	K 7.4% · BB 17.0% · FIP 5.15
2027PROJ	21	MLB—	3	3	14	6.26	6.26	15.7%	19.9%	-0.2
2028PROJ49% MLB	22	MLB—	2	2	13	5.79	5.60	18.2%	16.6%	-0.1

Next 2 projected WAR -0.3Projected 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 100%

CompsChris Viall (age 20) · Rubén Menes (age 21) · Chad Bryant (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 152144vR 136

ERA6.26

FIP6.26

K%15.7%

BB%19.9%

K-BB%-4.2%

Proj IP14

Value2027 · WAR

Runs saved vs league avg · 14 IP

Grades · Contract

Scouting Grades

K†3045

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	19	ROK MLE	DSL Tigers 2	14	3	16	107	4	32	1	21%	1.1	2.5%	37.4%	-34.8%	1.2%	20.81	8.31	—
2025	19	ROK MLE	DSL Tigers 2	14	3	16	107	4	32	1	21%	1.1	2.5%	37.4%	-34.8%	1.2%	20.81	8.31	—
2025	19	ROK RAW	DSL Tigers 2	14	3	16	107	4	32	1	21%	1.1	3.7%	29.9%	-26.2%	0.9%	20.81	9.41	—
2026	20	ROK MLE	DSL Tigers 2	11	11	28	147	16	20	1	100%	2.5	7.4%	17.0%	-9.6%	1.0%	9.00	5.15	—
2026	20	ROK MLE	DSL Tigers 2	11	11	28	147	16	20	1	100%	2.5	7.4%	17.0%	-9.6%	1.0%	9.00	5.15	—
2026	20	ROK RAW	DSL Tigers 2	11	11	28	147	16	20	1	100%	2.5	10.9%	13.6%	-2.7%	0.7%	9.00	4.56	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	21	MLB	—	3	3	14	59	9	12	2	100%	4.7	15.7%	19.9%	-4.2%	2.9%	6.26	6.26	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	22	MLB MLE	—	5	5	26	112	20	19	3	100%	5.3	18.2%	16.6%	1.6%	2.8%	5.79	5.60	-0.2
2028	22	MLB CTX	—	2	2	13	55	10	9	2	100%	6.5	18.2%	16.6%	1.6%	2.8%	5.79	5.60	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		3	3	13	55	10	9	2	100%	4.3	18.2%	16.6%	1.6%	2.8%	5.79	5.22	-0.0
/ 200 IP	—	RAW		39	39	200	844	154	138	31	100%	5.1	18.2%	16.6%	1.6%	2.8%	5.79	5.22	-0.7
Career	—	MLE		25	14	44	254	14	65	3	56%	1.8	5.4%	25.6%	-20.2%	1.1%	13.30	6.48	-0.2
/ 200 IP	—	MLE		114	64	200	1155	62	295	12	56%	1.8	5.4%	25.6%	-20.2%	1.1%	13.30	6.48	-1.6

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 Martinez (OGILVIE)	—	—	6.26	15.7%	19.9%	2.9%	—	5.60	18.2%	1.6%	26	-0.66	—	—	—
Chris Viall R 2016 · 5.86 FIP	20	SP-	5.86	18.9%	21.9%	2.9%	.314	5.06	21.3%	5.8%	88	-0.80	4.89	108	90
Rubén Menes R 2023 · 6.12 FIP	21	SP-	6.12	13.1%	21.9%	2.5%	.257	4.94	15.6%	2.1%	100	-1.18	3.39	112	89
Chad Bryant R 2021 · 6.29 FIP	21	SP-	6.29	14.8%	20.7%	3.3%	.337	5.59	16.0%	-3.4%	81	-0.70	3.93	136	86
Jackson Fristoe R 2023 · 6.07 FIP	22	SP-	6.07	17.0%	24.2%	2.5%	.258	6.12	15.3%	-2.9%	112	+0.05	4.81	139	85
Jatnk Diaz R 2024 · 7.33 FIP	19	SP-	7.33	12.1%	24.0%	4.0%	.318	5.06	13.9%	-0.8%	102	-2.27	4.97	117	83
Casey Anderson R 2023 · 5.62 FIP	22	SP-	5.62	11.8%	16.5%	2.6%	.382	4.97	16.7%	3.3%	237	-0.65	4.06	246	81
Jace Beck R 2021 · 5.13 FIP	21	SP-	5.13	21.1%	23.7%	1.5%	.347	5.32	25.7%	2.8%	50	+0.19	4.03	216	80
Mason McGwire R 2024 · 6.46 FIP	20	SP-	6.46	11.7%	21.2%	3.0%	.298	4.11	21.4%	10.7%	79	-2.35	4.11	155	80
Kyle Larsen R 2024 · 5.54 FIP	21	SP-	5.54	15.8%	17.9%	2.8%	.274	4.95	19.9%	6.2%	83	-0.59	4.83	143	79
Dylan Questad R 2024 · 6.95 FIP	19	SP-	6.95	17.6%	24.0%	4.2%	.392	6.50	17.3%	-5.3%	89	-0.45	6.31	117	79
Samuel Vásquez R 2021 · 6.05 FIP	21	SP-	6.05	11.2%	21.6%	2.1%	.353	5.15	16.0%	-2.8%	111	-0.90	4.01	273	78
Keegan Zinn R 2024 · 6.40 FIP	19	SP-	6.40	19.1%	19.5%	4.4%	.318	5.80	19.0%	-1.9%	112	-0.60	4.88	145	78
Jhonly Taveras R 2024 · 6.59 FIP	19	SP	6.59	13.0%	27.1%	2.1%	.311	5.00	12.1%	-11.0%	34	-1.59	5.00	133	78
Gillian Wernet R 2018 · 5.46 FIP	19	SP-	5.46	11.2%	16.6%	2.2%	.295	—	—	—	—	—	3.65	107	78
Wellington Aracena R 2024 · 5.43 FIP	19	SP-	5.43	18.9%	24.7%	1.5%	.343	3.94	20.0%	4.8%	196	-1.49	3.20	304	78
Yuliangel De La Cruz R 2024 · 6.64 FIP	19	SP-	6.64	11.7%	28.7%	1.6%	.348	5.51	14.2%	-11.6%	38	-1.13	4.50	123	78
Wilian Bormie R 2023 · 5.84 FIP	22	SP-	5.84	21.6%	20.4%	3.6%	.275	4.13	23.2%	9.3%	203	-1.71	3.51	226	78
Marco Jimenez R 2022 · 5.27 FIP	22	SP-	5.27	19.6%	17.7%	2.9%	.372	3.89	18.3%	6.7%	148	-1.38	3.36	183	78
Alex Makarewich R 2024 · 6.15 FIP	22	SP-	6.15	19.7%	26.7%	2.4%	.425	5.15	26.4%	-3.3%	83	-1.00	4.26	110	78
Luis Mora R 2016 · 5.78 FIP	21	SP-	5.78	16.3%	15.4%	3.8%	.303	5.27	23.9%	1.2%	43	-0.51	3.95	119	77