Jonathan Jimenez

P St. Lucie Mets

Age 23 RHP 6'2" / 182 lbs A peak 0.4 · 2030

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	20	ROKDSL Mets Oran…	10	10	47	3.99	2.70	18.0%	9.0%	—	K 12.2% · BB 11.3% · FIP 3.49
2025	21	MIX2 levels	19	13	60	3.47	3.05	20.8%	8.5%	—	K 14.6% · BB 10.3% · FIP 4.13
2026	22	MIX2 levels	22	11	71	6.62	5.83	19.9%	11.8%	—	K 15.0% · BB 13.7% · FIP 6.96
2027PROJ	23	MLBNYM	8	8	46	5.56	5.56	16.6%	12.4%	-0.3
2028PROJ43% MLB	24	MLBNYM	5	5	28	5.29	5.20	18.5%	11.2%	-0.1
2029PROJ66% MLB	25	MLBNYM	8	8	44	5.08	4.99	19.6%	10.4%	-0.0

Next 3 projected WAR -0.5Projected 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 1% · didn't stick 96%

CompsNoah Skirrow (age 23) · Tanner Hall (age 22) · Anyelo Gómez (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 139131vR 123

ERA5.56

FIP5.56

K%16.6%

BB%12.4%

K-BB%4.2%

Proj IP46

Value2027 · WAR

Runs saved vs league avg · 46 IP

Grades · Contract

Scouting Grades

K†4050

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	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	22	MIX MLE	2 levels	22	11	71	331	66	39	16	50%	3.2	15.0%	13.7%	1.3%	6.2%	6.62	6.96	—
2026	22	MIX MLE	2 levels	22	11	71	331	66	39	16	50%	3.2	15.0%	13.7%	1.3%	6.2%	6.62	6.96	—
2026	22	MIX RAW	2 levels	22	11	71	331	66	39	16	50%	3.2	19.9%	11.8%	8.2%	4.8%	6.62	5.83	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	NYM	8	8	46	194	32	24	7	100%	5.8	16.6%	12.4%	4.2%	3.5%	5.56	5.56	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	NYM	11	11	65	275	51	31	9	100%	5.9	18.5%	11.2%	7.3%	3.4%	5.29	5.20	-0.2
2029	25	MLB MLE	NYM	11	11	66	279	55	29	9	100%	6.0	19.6%	10.4%	9.2%	3.4%	5.08	4.99	-0.1
2030	26	MLB MLE	NYM	11	11	66	279	56	29	9	100%	6.0	20.2%	10.3%	9.9%	3.3%	4.97	4.92	-0.0
2031	27	MLB MLE	NYM	11	11	65	274	56	29	9	100%	5.9	20.3%	10.4%	9.9%	3.4%	4.94	4.94	-0.0
2032	28	MLB MLE	NYM	10	10	63	266	54	28	9	100%	6.3	20.2%	10.5%	9.6%	3.5%	4.99	5.02	-0.1
2028	24	MLB CTX	NYM	5	5	28	118	22	13	4	100%	5.6	18.5%	11.2%	7.3%	3.4%	5.29	5.20	-0.1
2029	25	MLB CTX	NYM	8	8	44	186	36	19	6	100%	5.5	19.6%	10.4%	9.2%	3.4%	5.08	4.99	-0.0
2030	26	MLB CTX	NYM	9	9	52	220	44	23	7	100%	5.8	20.2%	10.3%	9.9%	3.3%	4.97	4.92	-0.0
2031	27	MLB CTX	NYM	9	9	55	232	47	24	8	100%	6.1	20.3%	10.4%	9.9%	3.4%	4.94	4.94	-0.0
2032	28	MLB CTX	NYM	9	9	56	236	48	25	8	100%	6.2	20.2%	10.5%	9.6%	3.5%	4.99	5.02	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		40	40	235	994	198	105	34	100%	5.9	19.9%	10.5%	9.4%	3.4%	5.03	4.61	+0.8
/ 200 IP	—	RAW		34	34	200	844	168	89	29	100%	5.9	19.9%	10.5%	9.4%	3.4%	5.03	4.61	+0.7
Career	—	MLE		58	34	189	855	122	105	27	59%	3.3	14.3%	12.2%	2.1%	3.1%	4.80	5.15	-0.4
/ 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	-0.3

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
Jonathan Jimenez (OGILVIE)	—	—	5.56	16.6%	12.4%	3.5%	—	5.04	19.4%	8.8%	197	-0.52	—	—	—
Noah Skirrow R 2021 · 4.55 FIP	23	SP-	4.55	18.4%	11.5%	2.8%	.306	4.71	16.1%	6.1%	316	+0.16	3.97	371	91
Tanner Hall R 2024 · 4.67 FIP	22	SP-	4.67	18.8%	11.2%	3.2%	.295	5.33	10.1%	-4.6%	72	+0.66	4.67	137	86
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	84
Zach Linginfelter R 2021 · 5.53 FIP	24	SP-	5.53	19.1%	16.0%	3.7%	.295	5.01	18.8%	-0.6%	46	-0.52	3.62	109	84
Cade Winquest R 2023 · 4.37 FIP	23	SP-	4.37	17.9%	12.0%	2.3%	.299	3.71	21.6%	11.0%	188	-0.66	3.16	266	84
Dustin McGowan R 2005 · 4.62 FIP	23	SP-	4.62	16.6%	8.3%	3.4%	.286	3.65	19.1%	10.3%	308	-0.97	3.36	690	84
Patrick Halligan R 2023 · 4.43 FIP	23	SW	4.43	18.8%	11.6%	2.6%	.330	3.80	25.1%	15.0%	175	-0.63	2.47	305	83
Seth McClung R 2003 · 5.63 FIP	22	SW	5.63	15.0%	14.4%	3.6%	.241	5.29	15.3%	2.8%	212	-0.34	2.52	430	83
Ray Gaither R 2022 · 4.85 FIP	24	SP-	4.85	21.9%	13.2%	3.5%	.314	4.34	18.3%	5.8%	123	-0.51	3.84	164	83
Carlos Torres R 2009 · 5.24 FIP	26	SP-	5.24	16.9%	11.5%	3.9%	.284	3.59	18.2%	7.3%	67	-1.65	2.89	604	83
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	83
David Rodriguez R 2024 · 4.50 FIP	22	SP-	4.50	13.5%	11.7%	1.9%	.316	3.85	16.9%	9.9%	125	-0.65	3.80	184	83
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	83
Jeff Manship R 2009 · 4.69 FIP	24	SW	4.69	14.4%	10.3%	2.7%	.330	4.23	14.9%	9.5%	51	-0.46	2.83	250	82
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	82
Alfredo Figaro R 2009 · 4.98 FIP	25	SP-	4.98	19.3%	12.0%	3.6%	.370	4.42	7.2%	-1.5%	15	-0.56	3.75	143	81
Daniel Corcino R 2014 · 4.37 FIP	23	SP-	4.37	18.8%	12.5%	2.3%	.208	4.14	19.6%	10.0%	76	-0.23	3.84	318	81
Jeff Niemann R 2008 · 5.04 FIP	25	SW	5.04	18.4%	10.5%	4.0%	.294	4.16	17.4%	10.3%	490	-0.88	2.96	544	80
Nick Trogrlic-Iverson R 2021 · 4.98 FIP	23	SP-	4.98	12.7%	9.1%	3.3%	.348	3.92	16.5%	8.0%	135	-1.06	3.30	218	80
James McArthur R 2019 · 5.04 FIP	22	SP-	5.04	18.8%	15.5%	2.9%	.304	4.41	20.0%	10.7%	131	-0.63	3.48	352	80

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	1.9	62	19.4%	10.8%	1.32	5.12
Josias Manzanillo ('04)	1.7	57	20.0%	10.2%	1.21	4.71
Scott Proctor ('11)	1.7	57	19.0%	10.9%	1.52	4.78
Valerio De Los Santos ('08)	1.3	51	18.7%	11.5%	1.30	4.57
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
Bill Scherrer ('82-'88, 1 WAR*)	1.6	62	20.7%*	10.2%*	1.19*	4.44*