Jonathan Jimenez

Jonathan Jimenez P St. Lucie Mets

Age 22 RHP 6'2" / 182 lbs A Svc 0.0 · Ctrl thru 2035 peak 0.9 · 2029

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 35 proj IP

wRC+ AGAINSTvL 126118vR 110

ERA4.90

FIP4.90

K%17.2%

BB%10.5%

K-BB%6.6%

ROS IP36

Value2026 · WAR

Runs saved vs league avg · 35 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit+$12M ctrl surplus

Grades · Contract

Scouting Grades

K†4050

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2031	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Arb-1	$1M	+0.2	$0.5M	+$0.0M (cut)
2034	Arb-2	$2M	+0.1	$0.2M	+$0.0M (cut)
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$4M	+$1M

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)
2023	19	ROK MLE	DSL Mets Blue	7	0	12	54	13	7	1	0%	1.7	16.4%	16.2%	0.2%	3.0%	3.86	5.41	—
2023	19	ROK MLE	DSL Mets Blue	7	0	12	54	13	7	1	0%	1.7	16.4%	16.2%	0.2%	3.0%	3.86	5.41	—
2023	19	ROK RAW	DSL Mets Blue	7	0	12	54	13	7	1	0%	1.7	24.1%	13.0%	11.1%	1.9%	3.86	3.79	—
2024	20	ROK MLE	DSL Mets Orange	10	10	47	211	38	19	0	100%	4.7	12.2%	11.3%	1.0%	0.0%	3.99	3.49	—
2024	20	ROK MLE	DSL Mets Orange	10	10	47	211	38	19	0	100%	4.7	12.2%	11.3%	1.0%	0.0%	3.99	3.49	—
2024	20	ROK RAW	DSL Mets Orange	10	10	47	211	38	19	0	100%	4.7	18.0%	9.0%	9.0%	0.0%	3.99	2.70	—
2025	21	MIX MLE	2 levels	19	13	60	259	54	22	3	68%	3.1	14.6%	10.3%	4.3%	1.8%	3.47	4.13	—
2025	21	MIX MLE	2 levels	19	13	60	259	54	22	3	68%	3.1	14.6%	10.3%	4.3%	1.8%	3.47	4.13	—
2025	21	MIX RAW	2 levels	19	13	60	259	54	22	3	68%	3.1	20.8%	8.5%	12.4%	1.2%	3.47	3.05	—
▸ 2026 season
YTD	22	A+ MLE	Brooklyn Cyclones	22	11	71	331	66	39	16	50%	3.2	15.0%	13.7%	1.3%	6.2%	6.62	6.96	—
YTD	22	A+ MLE	Brooklyn Cyclones	22	11	71	331	66	39	16	50%	3.2	15.0%	13.7%	1.3%	6.2%	6.62	6.96	—
▸ 2026 season — so far · projected rest · full
2026	22	A RAW	NYM	14	7	39	178	35	19	9	50%	2.8	19.7%	10.7%	9.0%	5.1%	5.26	5.57	—
2026	22	A+ RAW	NYM	8	4	31	153	31	20	7	50%	3.9	20.3%	13.1%	7.2%	4.6%	8.33	5.56	—
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	23	MLB MLE	NYM	13	13	72	303	58	30	8	100%	5.5	19.1%	9.8%	9.4%	2.8%	4.71	4.62	+0.2
2028	24	MLB MLE	NYM	13	13	74	311	63	29	9	100%	5.7	20.3%	9.3%	11.0%	2.8%	4.55	4.46	+0.4
2029	25	MLB MLE	NYM	13	13	74	315	66	28	9	100%	5.7	20.9%	9.0%	11.9%	2.8%	4.44	4.37	+0.5
2030	26	MLB MLE	NYM	12	12	74	315	67	28	9	100%	6.2	21.2%	9.0%	12.2%	2.8%	4.38	4.35	+0.5
2031	27	MLB MLE	NYM	12	12	73	310	66	28	9	100%	6.1	21.2%	9.0%	12.1%	2.8%	4.38	4.38	+0.4
2032	28	MLB MLE	NYM	12	12	71	301	63	28	9	100%	5.9	21.0%	9.2%	11.8%	2.9%	4.43	4.47	+0.4
2033	29	MLB MLE	NYM	11	11	68	287	60	27	9	100%	6.2	20.8%	9.4%	11.4%	3.1%	4.53	4.60	+0.2
2034	30	MLB MLE	NYM	11	11	64	270	55	26	9	100%	5.8	20.4%	9.7%	10.7%	3.3%	4.68	4.78	+0.1
2027	23	MLB CTX	NYM	6	6	35	148	28	14	4	100%	5.8	19.1%	9.8%	9.4%	2.8%	4.71	4.62	+0.1
2028	24	MLB CTX	NYM	9	9	51	215	44	20	6	100%	5.7	20.3%	9.3%	11.0%	2.8%	4.55	4.46	+0.3
2029	25	MLB CTX	NYM	10	10	60	253	53	23	7	100%	6.0	20.9%	9.0%	11.9%	2.7%	4.44	4.37	+0.4
2030	26	MLB CTX	NYM	11	11	65	274	58	25	8	100%	5.9	21.2%	9.0%	12.2%	2.8%	4.38	4.35	+0.4
2031	27	MLB CTX	NYM	11	11	66	279	59	25	8	100%	6.0	21.2%	9.0%	12.1%	2.8%	4.38	4.38	+0.4
2032	28	MLB CTX	NYM	11	11	66	279	59	26	8	100%	6.0	21.0%	9.2%	11.8%	2.9%	4.43	4.47	+0.3
2033	29	MLB CTX	NYM	10	10	63	266	55	25	8	100%	6.3	20.8%	9.4%	11.4%	3.1%	4.53	4.60	+0.2
2034	30	MLB CTX	NYM	10	10	60	253	52	25	8	100%	6.0	20.4%	9.7%	10.7%	3.3%	4.68	4.78	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		79	79	467	1972	409	183	57	100%	5.9	20.7%	9.3%	11.4%	2.9%	4.49	4.11	+4.4
/ 200 IP	—	RAW		34	34	200	844	175	78	24	100%	5.9	20.7%	9.3%	11.4%	2.9%	4.49	4.11	+1.9
Career	—	MLE		58	34	189	855	122	105	27	59%	3.3	14.3%	12.2%	2.1%	3.1%	4.80	5.15	+2.7
/ 200 IP	—	MLE		61	36	200	903	129	111	28	59%	3.3	14.3%	12.2%	2.1%	3.1%	4.80	5.15	+0.9

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
Jonathan Jimenez (OGILVIE)	—	—	4.90	17.2%	10.5%	2.8%	—	4.48	20.1%	10.8%	220	-0.42	—	—	—
Noah Skirrow R 2021 · 4.55 FIP	23	SP-	4.55	18.4%	11.5%	2.8%	.306	4.72	16.0%	6.0%	316	+0.17	3.97	371	91
Michael Cederoth R 2015 · 4.10 FIP	22	SP-	4.10	16.8%	13.0%	1.4%	.292	4.95	21.6%	2.4%	83	+0.85	4.10	118	86
Nick Garcia R 2021 · 4.59 FIP	22	SP-	4.59	18.3%	12.3%	2.7%	.274	5.03	17.3%	6.1%	265	+0.44	3.31	408	85
Ryan Long R 2022 · 4.33 FIP	22	SW	4.33	17.1%	11.6%	2.2%	.263	4.69	16.6%	7.3%	292	+0.36	4.20	430	85
Cade Winquest R 2023 · 4.37 FIP	23	SP-	4.37	17.9%	12.0%	2.3%	.299	3.74	20.8%	10.5%	175	-0.63	3.11	252	85
Ryan Atkinson R 2016 · 4.58 FIP	23	SP-	4.58	18.4%	11.3%	2.9%	.315	4.48	21.6%	9.0%	305	-0.10	4.14	338	83
Trent Fennell R 2018 · 4.48 FIP	22	SP-	4.48	14.5%	12.5%	1.9%	.317	4.46	20.9%	7.5%	89	-0.02	4.08	163	83
Tyler McKay R 2019 · 5.32 FIP	21	SP-	5.32	15.1%	10.2%	4.0%	.262	4.64	13.2%	2.2%	106	-0.68	3.14	275	82
John Matthews R 2021 · 4.87 FIP	23	SW	4.87	18.6%	10.4%	3.7%	.351	4.75	15.5%	1.6%	145	-0.12	4.51	213	82
Anyelo Gómez R 2016 · 4.66 FIP	23	SW	4.66	17.1%	12.2%	2.7%	.292	2.66	24.2%	15.6%	68	-2.00	2.66	145	81
Ray Gaither R 2022 · 4.85 FIP	24	SP-	4.85	21.9%	13.2%	3.5%	.314	4.38	17.8%	5.3%	123	-0.47	3.90	164	81
Eccel Correa R 2023 · 4.39 FIP	20	SW	4.39	19.4%	11.9%	2.6%	.316	4.41	14.0%	2.2%	154	+0.02	3.96	189	81
Houston Roth R 2021 · 4.63 FIP	23	SW	4.63	16.4%	10.5%	2.9%	.263	4.83	20.8%	8.3%	228	+0.20	3.79	406	81
Huei-Sheng Lin R 2021 · 4.71 FIP	22	SW	4.71	15.4%	8.7%	3.3%	.310	6.28	16.6%	1.7%	52	+1.57	4.59	120	81
Mac Sceroler R 2017 · 4.46 FIP	22	SP-	4.46	17.6%	11.8%	2.5%	.318	4.34	18.4%	10.3%	200	-0.12	3.95	275	81
Austin Schulfer R 2018 · 3.82 FIP	22	SP-	3.82	14.0%	11.4%	0.9%	.278	4.15	19.7%	7.6%	208	+0.33	3.28	434	80
Geno Encina R 2015 · 4.22 FIP	21	SW	4.22	16.5%	6.8%	3.0%	.325	7.09	12.0%	2.3%	76	+2.87	4.22	200	80
Jake Lyons R 2021 · 4.46 FIP	22	SP-	4.46	21.8%	13.9%	2.6%	.325	4.64	19.4%	9.2%	105	+0.18	4.13	174	80
Andrew Quezada R 2021 · 4.40 FIP	24	SP-	4.40	18.1%	8.1%	3.3%	.312	4.86	14.6%	6.1%	291	+0.46	4.40	412	80
Luis Cohen R 2023 · 4.11 FIP	20	SP-	4.11	17.2%	11.4%	1.9%	.263	4.98	14.1%	3.9%	247	+0.87	3.00	333	80

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	3.0	67	20.4%	9.4%	1.11	4.53
Buck Farmer ('24)	2.5	50	21.6%	10.5%	1.23	4.59
Jacob Barnes ('24)	1.5	42	22.1%	9.6%	1.21	4.58
Matt Wisler ('22)	2.5	63	20.1%	7.6%	1.40	4.59
Luis Cessa ('23)	2.1	53	18.3%	7.8%	1.40	4.43
Nick Wittgren ('23)	1.6	41	21.6%	7.0%	1.15	4.04
Daniel Norris ('22)	2.8	70	21.7%	8.5%	1.37	4.70