Jose Martinez

P Tampa Tarpons

Age 22 RHP 6'1" / 204 lbs A peak 0.2 · 2030

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	20	ROKNYY	13	1	20	3.20	2.69	29.1%	5.1%	—	K 19.8% · BB 6.3% · FIP 3.17
2026	21	ANYY	31	0	52	4.64	3.50	27.4%	10.0%	—	K 20.3% · BB 11.8% · FIP 4.74
2027PROJ	22	MLBNYY	28	0	29	4.68	4.68	21.2%	10.4%	-0.0
2028PROJ49% MLB	23	MLBNYY	23	0	24	4.54	4.47	22.1%	9.7%	0.0
2029PROJ70% MLB	24	MLBNYY	33	0	35	4.42	4.35	22.8%	9.2%	0.1

Next 3 projected WAR 0.1Projected 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 96%

CompsKyle Zurak (age 22) · Heath Holder (age 23) · Cody Palmquist (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 122114vR 106

ERA4.68

FIP4.68

K%21.2%

BB%10.4%

K-BB%10.8%

Proj IP29

Value2027 · WAR

Runs saved vs league avg · 29 IP

Grades · Contract

Scouting Grades

K†5055

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 Red Sox Blue	9	1	25	96	28	4	3	11%	2.8	19.8%	5.2%	14.6%	4.7%	1.80	4.68	—
2023	18	ROK RAW	DSL Red Sox Blue	9	1	25	96	28	4	3	11%	2.8	29.2%	4.2%	25.0%	3.1%	1.80	2.90	—
2024	19	ROK MLE	DSL Red Sox Red	14	4	41	163	45	9	4	29%	3.0	18.8%	6.9%	11.9%	3.6%	3.48	4.37	—
2024	19	ROK MLE	DSL Red Sox Red	14	4	41	163	45	9	4	29%	3.0	18.8%	6.9%	11.9%	3.6%	3.48	4.37	—
2024	19	ROK RAW	DSL Red Sox Red	14	4	41	163	45	9	4	29%	3.0	27.6%	5.5%	22.1%	2.5%	3.48	2.83	—
2025	20	ROK MLE	FCL Yankees	13	1	20	79	23	4	2	8%	1.5	19.8%	6.3%	13.5%	1.7%	3.20	3.17	—
2025	20	ROK MLE	FCL Yankees	13	1	20	79	23	4	2	8%	1.5	19.8%	6.3%	13.5%	1.7%	3.20	3.17	—
2025	20	ROK RAW	FCL Yankees	13	1	20	79	23	4	2	8%	1.5	29.1%	5.1%	24.1%	2.5%	3.20	2.69	—
2026	21	A MLE	Tampa Tarpons	31	0	52	230	63	23	6	0%	1.7	20.3%	11.8%	8.5%	3.4%	4.64	4.74	—
2026	21	A MLE	Tampa Tarpons	31	0	52	230	63	23	6	0%	1.7	20.3%	11.8%	8.5%	3.4%	4.64	4.74	—
2026	21	A RAW	Tampa Tarpons	31	0	52	230	63	23	6	0%	1.7	27.4%	10.0%	17.4%	2.6%	4.64	3.50	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	NYY	28	0	29	122	26	13	4	0%	1.0	21.2%	10.4%	10.8%	3.0%	4.68	4.68	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	NYY	47	0	49	206	46	20	6	0%	1.0	22.1%	9.7%	12.5%	3.0%	4.54	4.47	+0.0
2029	24	MLB MLE	NYY	48	0	50	212	48	19	6	0%	1.0	22.8%	9.2%	13.6%	3.0%	4.42	4.35	+0.1
2030	25	MLB MLE	NYY	48	0	51	214	50	19	6	0%	1.1	23.2%	8.9%	14.3%	2.9%	4.33	4.27	+0.2
2031	26	MLB MLE	NYY	48	0	51	214	50	19	6	0%	1.1	23.4%	8.9%	14.5%	2.9%	4.28	4.25	+0.2
2032	27	MLB MLE	NYY	48	0	50	211	49	19	6	0%	1.0	23.4%	9.0%	14.4%	3.0%	4.29	4.29	+0.2
2028	23	MLB CTX	NYY	23	0	24	101	22	10	3	0%	1.0	22.1%	9.7%	12.5%	3.0%	4.54	4.47	+0.0
2029	24	MLB CTX	NYY	33	0	35	148	34	14	4	0%	1.1	22.8%	9.2%	13.6%	3.0%	4.42	4.35	+0.1
2030	25	MLB CTX	NYY	39	0	41	173	40	15	5	0%	1.1	23.2%	8.9%	14.3%	2.9%	4.33	4.27	+0.1
2031	26	MLB CTX	NYY	42	0	44	186	43	17	5	0%	1.0	23.4%	8.9%	14.5%	2.9%	4.28	4.25	+0.2
2032	27	MLB CTX	NYY	43	0	45	190	44	17	6	0%	1.0	23.4%	9.0%	14.4%	3.0%	4.29	4.29	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		180	0	189	800	185	73	24	0%	1.1	23.1%	9.1%	14.0%	3.0%	4.35	3.93	+1.4
/ 200 IP	—	RAW		190	0	200	844	195	77	25	0%	1.1	23.1%	9.1%	14.0%	3.0%	4.35	3.93	+1.5
Career	—	MLE		67	6	138	568	112	48	20	9%	2.1	19.7%	8.5%	11.2%	3.4%	3.58	4.41	+0.7
/ 200 IP	—	MLE		97	9	200	821	162	70	28	9%	2.1	19.7%	8.5%	11.2%	3.4%	3.58	4.41	+0.5

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
Jose Martinez (OGILVIE)	—	—	4.68	21.2%	10.4%	3.0%	—	4.36	22.7%	13.4%	150	-0.32	—	—	—
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	92
Heath Holder R 2016 · 4.16 FIP	23	SU	4.16	21.1%	10.1%	2.8%	.287	3.30	22.3%	13.1%	247	-0.86	2.94	367	92
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	91
David Garner R 2015 · 3.81 FIP	22	SU	3.81	21.7%	10.0%	2.3%	.282	4.52	19.8%	5.2%	98	+0.71	3.81	154	89
Owen Holt R 2022 · 3.72 FIP	23	SU	3.72	20.7%	10.2%	2.0%	.258	4.51	18.7%	6.4%	107	+0.79	3.72	145	88
Colby Morris R 2021 · 4.11 FIP	24	SU	4.11	20.4%	10.7%	2.5%	.291	5.76	16.2%	4.4%	54	+1.65	4.11	105	88
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	88
Aaron Holiday R 2022 · 4.81 FIP	22	SU	4.81	21.9%	11.3%	3.9%	.310	5.23	19.7%	-3.3%	59	+0.42	4.73	126	87
Zac Ryan R 2017 · 3.83 FIP	23	SU	3.83	20.5%	10.9%	2.0%	.233	3.93	21.6%	6.9%	124	+0.10	3.83	184	87
Jordan Mikel R 2021 · 4.49 FIP	22	SU	4.49	20.5%	12.5%	2.8%	.330	4.16	19.2%	9.0%	109	-0.33	3.04	195	87
Reece Karalus R 2016 · 4.80 FIP	22	SU	4.80	18.5%	8.6%	4.0%	.298	4.81	14.8%	4.1%	103	+0.01	4.73	149	87
Tyler Mitzel R 2019 · 4.34 FIP	23	SU	4.34	24.1%	12.0%	3.2%	.245	4.10	22.4%	14.3%	96	-0.24	4.03	142	87
Ricardo Velez R 2023 · 4.44 FIP	24	SU	4.44	22.4%	10.9%	3.4%	.261	4.09	18.8%	8.1%	138	-0.35	3.83	166	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
Kyle Marman R 2019 · 3.97 FIP	22	SU	3.97	22.2%	12.8%	2.0%	.270	5.16	22.5%	8.4%	71	+1.19	3.97	117	86
Luke Bell R 2024 · 3.62 FIP	23	SU	3.62	20.4%	9.9%	1.8%	.295	5.69	13.1%	1.3%	66	+2.07	3.62	110	86
Tyler Bray R 2015 · 4.07 FIP	23	SU	4.07	22.3%	9.1%	3.1%	.356	3.21	17.9%	7.6%	114	-0.86	2.82	152	86
Brandon Beckel R 2024 · 3.75 FIP	22	SU	3.75	19.4%	10.3%	1.8%	.250	4.23	19.5%	10.5%	147	+0.48	3.75	194	86
Troy Bacon R 2019 · 4.31 FIP	22	SU	4.31	21.8%	10.0%	3.3%	.349	4.85	18.2%	5.7%	83	+0.54	3.34	203	86
Matt Pidich R 2018 · 4.42 FIP	23	SU	4.42	17.1%	8.3%	3.1%	.303	4.08	20.8%	13.3%	115	-0.34	4.05	196	86

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	1.4	47	22.8%	9.3%	1.15	4.40
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
Jacob Barnes ('25)	1.7	48	22.0%	9.2%	1.15	4.79
Kevin Quackenbush ('21)	1.0	52	21.0%	9.2%	1.04	4.41
Bill Scherrer ('82-'88, 1 WAR*)	1.6	62	20.7%*	10.2%*	1.19*	4.44*
Dave Baldwin ('66-'73, 2 WAR*)	1.1	56	22.2%*	9.2%*	0.96*	3.97*
Bill Pleis ('61-'66, -0 WAR*)	1.4	56	19.7%*	9.8%*	1.15*	4.53*