Yunior Marte — OGILVIE

Yunior Marte P Richmond Flying Squirrels

Age 22 RHP 6'6" / 236 lbs AA Svc 0.0 · Ctrl thru 2031 peak 1.9 · 2029

2026 ROS PROJECTION122 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 115107vR 98

ERA4.29

FIP4.29

K%17.8%

BB%9.7%

K-BB%8.0%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 128 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$0M ctrl surplus

Grades · Statcast · Contract

Scouting Grades

OFP—40

STUF4045

CTRL5040

CMD4545

K†4045

Statcast Percentiles

FB Velo

p3293.2

Whiff%

p2421.6%

p1015.3%

xwOBA vs

p720.291

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status Pre-Arb

MLB Debut 2026

Service 0.000 yrs.days

Team Control Through 2031

First FA Year 2032

Year	Status	Salary	Proj WAR	Value	Surplus
2026ROS	Pre-Arb	$0.1M	+0.1	$0.2M	+$0.2M
2027	Pre-Arb	$0.8M	+0.5	$2M	+$1M
2028	Pre-Arb	$0.8M	+0.6	$2M	+$1M
2029	Arb-1	$5M	+0.7	$2M	+$0.0M (cut)
2030	Arb-2	$8M	+0.8	$2M	+$0.0M (cut)
2031	Arb-3	$12M	+0.7	$2M	+$0.0M (cut)
Totals		$2M		$11M	+$3M

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)
2022	18	ROK MLE	DSL KC Glass	11	8	20	92	10	3	1	73%	1.8	7.4%	4.1%	3.3%	1.7%	5.49	3.94	—
2022	18	ROK RAW	DSL KC Glass	11	8	20	92	10	3	1	73%	1.8	10.9%	3.3%	7.6%	1.1%	5.49	3.20	—
2023	19	ROK MLE	ACL Royals	12	6	37	162	39	11	3	50%	3.1	16.4%	8.5%	7.9%	2.6%	4.14	4.22	—
2023	19	ROK MLE	ACL Royals	12	6	37	162	39	11	3	50%	3.1	16.4%	8.5%	7.9%	2.6%	4.14	4.22	—
2023	19	ROK RAW	ACL Royals	12	6	37	162	39	11	3	50%	3.1	24.1%	6.8%	17.3%	1.9%	4.14	2.94	—
2024	20	MIX MLE	2 levels	9	8	25	121	22	10	3	89%	2.7	12.3%	12.0%	0.2%	5.3%	8.76	6.52	—
2024	20	MIX MLE	2 levels	9	8	25	121	22	10	3	89%	2.7	12.3%	12.0%	0.2%	5.3%	8.76	6.52	—
2024	20	MIX RAW	2 levels	9	8	25	121	22	10	3	89%	2.7	18.2%	8.3%	9.9%	2.5%	8.76	4.11	—
2025	21	A MLE	San Jose Giants	24	22	102	403	96	29	4	92%	4.2	17.6%	8.5%	9.1%	1.0%	2.91	3.21	—
2025	21	A MLE	San Jose Giants	24	22	102	403	96	29	4	92%	4.2	17.6%	8.5%	9.1%	1.0%	2.91	3.21	—
2025	21	A RAW	San Jose Giants	24	22	102	403	96	29	4	92%	4.2	23.8%	7.2%	16.6%	1.0%	2.91	2.58	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			3	1	15	59	9	6	2	33%	4.9	15.3%	10.2%	5.1%	3.4%	2.45	4.87	-0.1
▸ 2026 season
YTD	22	MLB MLE	San Francisco Giants	25	21	122	512	122	47	13	84%	4.9	19.3%	10.2%	9.1%	3.0%	3.68	4.42	—
YTD	22	MLB MLE	San Francisco Giants	25	21	122	512	122	47	13	84%	4.9	19.3%	10.2%	9.1%	3.0%	3.68	4.42	—
▸ 2026 season — so far · projected rest · full
2026	22	A+ RAW	SF	9	7	43	180	41	19	3	78%	4.8	22.8%	10.6%	12.2%	1.7%	3.74	3.43	—
2026	22	AA RAW	SF	13	13	64	273	72	22	8	100%	4.9	26.4%	8.1%	18.3%	2.9%	3.92	3.50	—
2026	22	MLB RAW	SF	3	1	15	59	9	6	2	33%	4.9	15.3%	10.2%	5.1%	3.4%	2.45	4.96	-0.1
SO FAR	22	MLB RAW	SF	3	1	15	59	9	6	2	33%	4.9	15.3%	10.2%	5.1%	3.4%	2.45	4.96	-0.1
ROS	22	MLB MLE	SF	1	1	6	25	5	2	1	100%	6.0	17.8%	9.7%	8.0%	2.7%	4.29	4.29	+0.0
ROS	22	MLB CTX	SF	1	1	6	25	5	2	1	100%	6.0	17.8%	9.7%	8.0%	2.5%	4.18	4.18	+0.0
2026 TOT	22	MLB MLE	SF	—	—	128	537	127	49	14	—	—	23.5%	9.2%	14.3%	2.5%	3.71	4.41	+0.7
FULL	22	MLB A+C	SF	—	—	21	87	127	49	14	—	—	144.9%	56.7%	88.2%	15.6%	22.97	6.60	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	23	MLB MLE	SF	23	23	124	525	96	48	14	100%	5.4	18.4%	9.2%	9.2%	2.7%	4.63	4.57	+0.5
2028	24	MLB MLE	SF	23	23	127	538	103	47	15	100%	5.5	19.2%	8.8%	10.3%	2.7%	4.52	4.46	+0.7
2029	25	MLB MLE	SF	22	22	129	545	107	47	15	100%	5.9	19.7%	8.6%	11.1%	2.7%	4.44	4.39	+0.8
2030	26	MLB MLE	SF	22	22	129	545	109	47	15	100%	5.9	20.0%	8.6%	11.4%	2.7%	4.39	4.37	+0.8
2031	27	MLB MLE	SF	21	21	127	537	107	46	15	100%	6.1	20.0%	8.7%	11.3%	2.8%	4.40	4.40	+0.7
2032	28	MLB MLE	SF	21	21	123	521	103	46	15	100%	5.9	19.8%	8.8%	11.0%	2.9%	4.45	4.49	+0.6
2033	29	MLB MLE	SF	20	20	118	497	97	45	15	100%	5.9	19.6%	9.0%	10.6%	3.0%	4.55	4.62	+0.4
2034	30	MLB MLE	SF	18	18	111	467	90	44	15	100%	6.2	19.2%	9.3%	9.9%	3.2%	4.70	4.80	+0.1
2035	31	MLB MLE	SF	17	17	103	436	82	42	15	100%	6.1	18.8%	9.7%	9.2%	3.4%	4.88	5.00	-0.1
2027	23	MLB CTX	SF	22	22	118	498	91	46	12	100%	5.4	18.4%	9.2%	9.2%	2.5%	4.52	4.46	+0.5
2028	24	MLB CTX	SF	22	22	121	511	98	45	13	100%	5.5	19.2%	8.8%	10.3%	2.5%	4.41	4.35	+0.6
2029	25	MLB CTX	SF	21	21	123	519	102	45	13	100%	5.9	19.7%	8.6%	11.1%	2.5%	4.33	4.28	+0.7
2030	26	MLB CTX	SF	20	20	123	519	104	45	13	100%	6.2	20.0%	8.6%	11.4%	2.5%	4.28	4.26	+0.8
2031	27	MLB CTX	SF	20	20	121	511	102	44	13	100%	6.0	20.0%	8.7%	11.3%	2.5%	4.29	4.29	+0.7
2032	28	MLB CTX	SF	20	20	117	494	98	44	13	100%	5.8	19.8%	8.8%	11.0%	2.6%	4.33	4.37	+0.6
2033	29	MLB CTX	SF	19	19	112	473	93	43	13	100%	5.9	19.6%	9.0%	10.6%	2.8%	4.43	4.50	+0.4
2034	30	MLB CTX	SF	18	18	105	443	85	41	13	100%	5.8	19.2%	9.3%	9.9%	3.0%	4.57	4.67	+0.1
2035	31	MLB CTX	SF	16	16	98	414	78	40	13	100%	6.1	18.8%	9.7%	9.2%	3.2%	4.74	4.86	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		181	179	1058	4464	864	400	119	99%	5.8	19.4%	9.0%	10.4%	2.7%	4.39	4.07	+10.5
/ 200 IP	—	RAW		34	34	200	844	163	76	22	99%	5.8	19.4%	9.0%	10.4%	2.7%	4.39	4.07	+2.0
Career	—	MLE		81	65	306	1290	218	118	32	80%	3.8	16.9%	9.2%	7.7%	2.4%	4.00	4.18	+4.5
/ 200 IP	—	MLE		53	43	200	844	143	77	21	80%	3.8	16.9%	9.2%	7.7%	2.4%	4.00	4.18	+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
Yunior Marte (OGILVIE)	—	—	4.69	17.3%	9.7%	2.6%	—	4.47	19.1%	10.2%	381	-0.22	—	—	—
Drew McDaniel R 2023 · 4.71 FIP	22	SP	4.71	14.1%	9.1%	3.0%	.323	5.08	18.7%	8.7%	152	+0.37	4.24	230	90
Johnathan Harmon R 2023 · 4.30 FIP	22	SP-	4.30	17.8%	10.2%	2.6%	.293	5.14	15.1%	6.3%	193	+0.84	3.52	282	88
Chris McElvain R 2023 · 4.76 FIP	22	SP	4.76	15.8%	11.6%	2.8%	.275	5.24	15.8%	4.7%	198	+0.48	4.07	294	88
Max Gamboa R 2018 · 3.99 FIP	22	SP-	3.99	17.3%	9.5%	2.1%	.334	3.99	26.5%	7.7%	61	+0.00	3.99	162	87
Bradley Brehmer R 2023 · 4.43 FIP	23	SP	4.43	14.6%	9.5%	2.5%	.349	3.27	20.0%	11.5%	94	-1.16	2.83	165	87
Jared Karros R 2023 · 4.77 FIP	22	SP	4.77	19.0%	8.9%	3.9%	.290	5.26	17.8%	8.3%	120	+0.49	3.36	191	86
Miguel Almonte R 2015 · 3.88 FIP	22	SP-	3.88	18.0%	10.1%	1.8%	.300	4.41	19.4%	7.9%	143	+0.53	3.06	247	86
Tyler Uberstine R 2022 · 4.19 FIP	23	SP-	4.19	19.5%	10.5%	2.6%	.302	4.32	22.2%	14.8%	121	+0.13	3.16	258	86
Will Rudy R 2023 · 4.76 FIP	22	SP	4.76	15.2%	9.2%	3.3%	.299	5.28	17.4%	8.6%	113	+0.52	4.76	194	86
Bryce Conley R 2018 · 4.71 FIP	23	SP-	4.71	20.2%	12.2%	3.2%	.269	4.88	17.4%	3.3%	197	+0.17	4.22	560	85
Cameron Foster R 2023 · 4.31 FIP	24	SP	4.31	18.9%	10.3%	2.7%	.329	4.05	20.9%	10.9%	132	-0.26	2.54	213	85
Cameron Wagoner R 2023 · 4.10 FIP	22	SP	4.10	14.8%	9.6%	1.9%	.326	2.86	27.7%	21.2%	39	-1.24	2.86	139	85
Ubert Mejias R 2023 · 3.74 FIP	22	SP-	3.74	14.2%	7.9%	1.5%	.326	4.43	14.0%	8.0%	264	+0.69	3.74	326	85
Levi Thomas R 2021 · 5.22 FIP	23	SP-	5.22	18.1%	11.9%	3.9%	.328	5.16	20.8%	3.3%	31	-0.06	5.16	116	85
Jesus Lugo R 2019 · 3.79 FIP	21	SP-	3.79	17.8%	8.1%	2.1%	.243	6.08	19.8%	10.5%	45	+2.29	3.79	113	85
Erik Swanson R 2016 · 3.56 FIP	22	SP-	3.56	17.1%	8.8%	1.5%	.316	4.11	20.9%	15.2%	298	+0.55	1.60	606	85
Nick Sinacola R 2022 · 4.44 FIP	22	SP-	4.44	19.3%	10.4%	3.0%	.335	4.05	18.2%	10.0%	254	-0.39	3.56	357	85
Chih-Jung Liu R 2021 · 4.41 FIP	22	SP	4.41	18.8%	10.5%	2.9%	.331	6.08	21.6%	9.0%	233	+1.67	4.41	283	84
Marcelo Perez R 2023 · 3.84 FIP	23	SP	3.84	18.0%	8.6%	2.1%	.288	4.99	14.7%	7.3%	238	+1.15	3.84	306	84
Riley Thompson R 2019 · 4.69 FIP	23	SP	4.69	16.5%	9.4%	3.3%	.288	5.32	21.7%	7.0%	57	+0.63	4.53	340	84

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	5.8	116	19.3%	9.0%	1.11	4.55
Zach Davies ('23)	5.2	116	17.5%	8.1%	1.16	4.36
Jon Gray ('24)	6.1	122	23.4%	7.8%	1.15	4.45
Alex Wood ('24)	5.0	111	21.6%	7.0%	0.96	3.98
Aaron Sanchez ('22)	3.3	93	18.1%	10.0%	0.98	4.32
Chad Kuhl ('24)	3.3	84	20.0%	10.4%	1.31	4.98
Jordan Montgomery ('24)	4.3	124	21.4%	6.9%	1.07	4.01