José Marte — OGILVIE

José Marte P St. Lucie Mets

Age 30 RHP 6'3" / 180 lbs A peak 0.2 · 2026

2026 ROS PROJECTION2 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 122114vR 106

ERA4.84

FIP4.70

K%23.6%

BB%13.9%

K-BB%9.7%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 8 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF5555

CTRL2020

CMD2525

K†5555

Statcast Percentiles

FB Velo

p7896.5

Whiff%

p6227.1%

p1817.5%

xwOBA vs

p370.327

SL+1.8 (39%)

FB+0.9 (53%)

SI (28%)

CH-0.8 (9%)

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 + 2026 so far)
2016	20	ROK MLE	DSL Giants	5	5	19	78	18	10	0	100%	3.8	15.7%	16.0%	-0.3%	0.0%	1.89	3.80	—
2016	20	ROK RAW	DSL Giants	5	5	19	78	18	10	0	100%	3.8	23.1%	12.8%	10.3%	0.0%	1.89	2.78	—
2017	21	ROK MLE	AZL Giants	1	0	1	3	2	0	0	0%	1.0	66.7%	0.0%	66.7%	0.0%	0.00	-2.53	—
2017	21	ROK RAW	AZL Giants	1	0	1	3	2	0	0	0%	1.0	66.7%	0.0%	66.7%	0.0%	0.00	-0.90	—
2018	22	A MLE	Augusta GreenJackets	25	25	119	521	112	50	10	100%	4.7	15.9%	11.3%	4.6%	2.4%	4.70	4.49	—
2018	22	A RAW	Augusta GreenJackets	25	25	119	521	112	50	10	100%	4.7	21.5%	9.6%	11.9%	1.9%	4.70	3.57	—
2019	23	A+ MLE	San Jose Giants	18	17	74	325	80	43	7	94%	4.1	19.0%	15.2%	3.7%	2.8%	5.59	4.99	—
2019	23	A+ RAW	San Jose Giants	18	17	74	325	80	43	7	94%	4.1	24.6%	13.2%	11.4%	2.2%	5.59	3.91	—
2021	25	MIX MLE	4 levels	38	0	43	195	67	23	1	0%	1.1	29.4%	15.6%	13.8%	0.0%	4.15	2.59	+1.0
2021	25	MIX RAW	4 levels	38	0	43	195	67	23	1	0%	1.1	34.4%	11.8%	22.6%	0.5%	4.15	1.90	+1.4
2022	26	MIX MLE	2 levels	45	0	46	214	61	41	6	0%	1.0	25.9%	19.7%	6.2%	3.0%	5.91	5.06	-0.3
2022	26	MIX RAW	2 levels	45	0	46	214	61	41	6	0%	1.0	28.5%	19.2%	9.3%	2.8%	5.91	4.83	-0.2
2023	27	MIX MLE	4 levels	21	1	21	96	24	12	5	5%	1.0	25.0%	12.5%	12.5%	5.2%	5.57	5.43	-0.2
2023	27	MIX MLE	4 levels	21	1	21	96	24	12	5	5%	1.0	25.0%	12.5%	12.5%	5.2%	5.57	5.43	-0.2
2023	27	MIX RAW	4 levels	21	1	21	96	24	12	5	5%	1.0	25.0%	12.5%	12.5%	5.2%	5.57	5.62	-0.3
2024	28	MIX MLE	2 levels	39	0	48	196	47	21	2	0%	1.2	21.1%	10.2%	11.0%	1.1%	2.27	3.22	+0.8
2024	28	MIX MLE	2 levels	39	0	48	196	47	21	2	0%	1.2	21.1%	10.2%	11.0%	1.1%	2.27	3.22	+0.8
2024	28	MIX RAW	2 levels	39	0	48	196	47	21	2	0%	1.2	24.0%	10.7%	13.3%	1.0%	2.27	3.00	+0.9
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			39	0	44	204	41	38	7	0%	1.1	20.1%	18.6%	1.5%	3.4%	5.56	5.92	-0.7
▸ 2026 season
YTD	30	A MLE	St. Lucie Mets	2	0	2	10	3	1	1	0%	1.0	—	—	—	—	9.00	—	—
YTD	30	A MLE	St. Lucie Mets	2	0	2	10	3	1	1	0%	1.0	—	—	—	—	9.00	—	—
▸ 2026 season — so far · projected rest · full
2026	30	A RAW	NYM	2	0	2	10	3	1	1	0%	1.0	30.0%	10.0%	20.0%	10.0%	9.00	7.32	—
ROS	30	MLB MLE	NYM	6	0	6	27	6	4	1	0%	1.1	23.6%	13.9%	9.7%	2.6%	4.84	4.70	-0.0
2026 TOT	30	MLB MLE	NYM	—	—	8	37	9	5	2	—	—	25.4%	12.8%	12.5%	4.7%	5.84	3.57	+0.1
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	NYM	123	0	129	546	124	74	16	0%	1.1	22.7%	13.6%	9.1%	2.9%	4.84	4.88	-0.5
2028	32	MLB MLE	NYM	114	0	120	505	110	69	16	0%	1.0	21.9%	13.6%	8.3%	3.2%	4.97	5.09	-0.7
2027	31	MLB CTX	NYM	37	0	39	165	37	22	5	0%	1.1	22.7%	13.6%	9.1%	2.9%	4.84	4.88	-0.1
2028	32	MLB CTX	NYM	57	0	60	253	55	34	8	0%	1.1	21.9%	13.6%	8.3%	3.2%	4.97	5.09	-0.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		133	0	143	622	134	95	20	0%	1.1	21.5%	15.2%	6.3%	3.2%	5.12	4.96	-0.7
/ 200 IP	—	RAW		187	0	200	872	188	133	28	0%	1.1	21.5%	15.2%	6.3%	3.2%	5.12	4.96	-1.0
Career	—	MLE		194	48	372	1638	340	226	36	25%	1.9	20.8%	13.8%	6.9%	2.2%	4.57	4.31	-2.0
/ 200 IP	—	MLE		104	26	200	880	183	122	19	25%	1.9	20.8%	13.8%	6.9%	2.2%	4.57	4.31	-1.3

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
José Marte (OGILVIE)	—	—	4.70	23.6%	13.9%	2.6%	—	4.98	22.3%	8.7%	249	+0.28	—	—	—
Shintaro Fujinami R 2023 · 4.09 FIP	29	SU	4.09	23.2%	12.3%	2.5%	.290	4.55	21.2%	-0.6%	51	+0.46	4.09	130	70
Bud Norris R 2015 · 4.68 FIP	30	SW	4.68	18.8%	8.2%	3.9%	.327	3.78	24.2%	15.5%	233	-0.90	3.51	316	67
Blake Wood R 2016 · 3.76 FIP	30	SU	3.76	24.5%	10.6%	2.5%	.307	3.44	25.3%	16.0%	74	-0.32	2.92	210	65
Josh Zeid R 2017 · 5.35 FIP	30	SW	5.35	18.3%	10.8%	4.4%	.334	—	—	—	—	—	4.12	265	64
Spencer Bivens R 2023 · 3.91 FIP	29	SU	3.91	18.6%	10.6%	1.9%	.285	3.98	17.8%	11.2%	254	+0.07	3.52	390	63
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	63
Esmil Rogers R 2015 · 3.51 FIP	29	SW	3.51	18.5%	8.9%	1.6%	.348	2.86	21.7%	17.9%	40	-0.65	2.86	199	62
Erik Davis R 2017 · 4.25 FIP	30	SU	4.25	22.2%	11.1%	3.0%	.349	3.52	17.4%	8.5%	65	-0.73	3.05	227	62
Daniel Hudson R 2017 · 4.07 FIP	30	SU	4.07	24.4%	11.8%	2.8%	.301	4.01	24.1%	15.2%	140	-0.06	1.68	468	62
Chris Leroux R 2015 · 4.20 FIP	31	SU	4.20	15.2%	8.6%	2.4%	.279	4.08	13.5%	5.5%	140	-0.12	4.08	219	61
Hector Velázquez R 2019 · 4.82 FIP	30	SW	4.82	19.6%	12.3%	3.3%	.292	3.81	19.2%	10.9%	25	-1.01	2.75	536	61
Burch Smith R 2019 · 3.96 FIP	29	SW	3.96	22.6%	12.3%	2.2%	.271	4.19	14.9%	9.0%	43	+0.23	3.50	382	60
Javy Guerra R 2016 · 4.29 FIP	30	SU	4.29	21.3%	13.9%	2.3%	.303	3.95	19.5%	13.0%	193	-0.34	2.95	260	60
Grant Black R 2023 · 5.54 FIP	29	SU	5.54	15.4%	11.3%	4.2%	.352	—	—	—	—	—	4.46	215	60
Blake Smith R 2016 · 3.59 FIP	28	SU	3.59	22.4%	8.6%	2.4%	.307	—	—	—	—	—	3.17	124	59
Neftalí Feliz R 2018 · 4.74 FIP	30	SW	4.74	16.2%	13.7%	2.3%	.281	3.61	33.6%	23.7%	41	-1.13	3.54	291	59
Alexi Ogando R 2015 · 5.11 FIP	31	SU	5.11	19.1%	9.4%	4.4%	.253	3.95	17.2%	8.0%	67	-1.16	3.79	132	59
Danny Farquhar R 2017 · 3.62 FIP	30	SU	3.62	22.3%	11.0%	1.8%	.247	—	—	—	—	—	3.62	224	59
Deck McGuire R 2018 · 5.28 FIP	29	SW	5.28	18.4%	13.2%	3.8%	.262	—	—	—	—	—	3.41	622	58
Arquimedes Caminero R 2016 · 4.45 FIP	29	SU	4.45	17.9%	11.4%	2.6%	.314	4.62	18.6%	7.5%	38	+0.17	3.54	173	58

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.9	129	22.8%	13.7%	1.12	4.88
James Kaprielian ('23)	1.6	105	20.5%	9.6%	1.26	4.58
Tyler Chatwood ('21)	2.6	104	19.2%	13.3%	0.94	4.48
Ian Anderson ('22)	1.4	91	22.5%	10.4%	0.96	3.97
Josiah Gray ('23)	1.9	126	22.6%	10.8%	1.88	4.64
Brandon Finnegan ('18)	1.2	80	19.7%	11.6%	1.57	4.19
Triston McKenzie ('24)	2.1	105	26.0%	9.4%	1.52	3.94