Antonio Jimenez — OGILVIE

Antonio Jimenez P Sacramento River Cats

Age 25 LHP 5'11" / 163 lbs AAA

2026 ROS PROJECTION0 act + 10 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 110118vR 126

ERA4.90

FIP4.90

K%22.0%

BB%14.1%

K-BB%7.9%

ROS IP10

Value2026 · WAR

Runs saved vs league avg · 10 IP

Grades · Contract

Scouting Grades

STUF5555

CTRL2525

CMD4545

K†5555

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)
2018	17	ROK MLE	DSL Rays 1	11	0	19	84	20	13	0	0%	1.7	16.2%	19.3%	-3.2%	0.0%	2.89	4.18	—
2018	17	ROK RAW	DSL Rays 1	11	0	19	84	20	13	0	0%	1.7	23.8%	15.5%	8.3%	0.0%	2.89	3.05	—
2019	18	ROK MLE	DSL Rays 2	14	13	62	259	68	30	0	93%	4.4	17.9%	14.5%	3.4%	0.0%	2.90	3.43	—
2019	18	ROK RAW	DSL Rays 2	14	13	62	259	68	30	0	93%	4.4	26.3%	11.6%	14.7%	0.0%	2.90	2.36	—
2021	20	MIX MLE	2 levels	12	7	48	194	64	14	3	58%	4.0	23.1%	8.8%	14.3%	2.1%	2.62	3.40	—
2021	20	MIX RAW	2 levels	12	7	48	194	64	14	3	58%	4.0	33.0%	7.2%	25.8%	1.5%	2.62	2.12	—
2022	21	A MLE	Charleston RiverDogs	26	19	108	463	123	51	8	73%	4.2	19.7%	13.0%	6.7%	2.4%	3.74	4.39	—
2022	21	A RAW	Charleston RiverDogs	26	19	108	463	123	51	8	73%	4.2	26.6%	11.0%	15.6%	1.7%	3.74	3.20	—
2023	22	MIX MLE	2 levels	36	2	78	335	82	35	12	6%	2.2	19.5%	11.6%	7.8%	4.0%	3.71	5.12	—
2023	22	MIX MLE	2 levels	36	2	78	335	82	35	12	6%	2.2	19.5%	11.6%	7.8%	4.0%	3.71	5.12	—
2023	22	MIX RAW	2 levels	36	2	78	335	82	35	12	6%	2.2	24.5%	10.4%	14.0%	3.6%	3.71	4.35	—
2024	23	MIX MLE	2 levels	41	1	62	261	58	22	3	2%	1.5	18.2%	8.7%	9.4%	1.2%	3.79	3.33	—
2024	23	MIX MLE	2 levels	41	1	62	261	58	22	3	2%	1.5	18.2%	8.7%	9.4%	1.2%	3.79	3.33	—
2024	23	MIX RAW	2 levels	41	1	62	261	58	22	3	2%	1.5	22.2%	8.4%	13.8%	1.1%	3.79	2.92	—
2025	24	AAA MLE	Sacramento River Cats	29	3	46	201	56	35	4	10%	1.6	23.1%	15.7%	7.5%	2.3%	3.55	4.41	—
2025	24	AAA MLE	Sacramento River Cats	29	3	46	201	56	35	4	10%	1.6	23.1%	15.7%	7.5%	2.3%	3.55	4.41	—
2025	24	AAA RAW	Sacramento River Cats	29	3	46	201	56	35	4	10%	1.6	27.9%	17.4%	10.4%	2.0%	3.55	4.09	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	25	MLB	SF	10	0	10	42	9	6	1	0%	1.0	22.0%	14.1%	7.9%	2.7%	4.90	4.90	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	26	MLB MLE	SF	122	0	128	542	122	73	15	0%	1.1	22.4%	13.4%	9.0%	2.7%	4.81	4.79	-0.4
2028	27	MLB MLE	SF	120	0	126	534	119	70	15	0%	1.1	22.4%	13.1%	9.3%	2.8%	4.78	4.79	-0.3
2029	28	MLB MLE	SF	117	0	123	518	115	67	15	0%	1.0	22.2%	13.0%	9.3%	2.9%	4.81	4.84	-0.4
2030	29	MLB MLE	SF	112	0	117	494	109	65	15	0%	1.0	22.0%	13.1%	9.0%	3.1%	4.90	4.96	-0.5
2031	30	MLB MLE	SF	105	0	110	465	101	62	15	0%	1.0	21.7%	13.4%	8.3%	3.3%	5.04	5.14	-0.7
2027	26	MLB CTX	SF	59	0	62	262	59	35	7	0%	1.1	22.4%	13.4%	9.0%	2.7%	4.81	4.79	-0.2
2028	27	MLB CTX	SF	80	0	84	355	79	46	10	0%	1.1	22.4%	13.1%	9.3%	2.8%	4.78	4.79	-0.2
2029	28	MLB CTX	SF	90	0	95	401	89	52	12	0%	1.1	22.2%	13.0%	9.3%	2.9%	4.81	4.84	-0.3
2030	29	MLB CTX	SF	92	0	97	410	90	53	13	0%	1.1	22.0%	13.1%	9.0%	3.1%	4.90	4.96	-0.5
2031	30	MLB CTX	SF	90	0	95	401	87	54	13	0%	1.1	21.7%	13.4%	8.3%	3.3%	5.04	5.14	-0.6
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		412	0	432	1826	404	240	54	0%	1.0	22.1%	13.2%	9.0%	3.0%	4.88	4.54	+0.1
/ 200 IP	—	RAW		190	0	200	844	187	111	25	0%	1.1	22.1%	13.2%	9.0%	3.0%	4.88	4.54	+0.0
Career	—	MLE		169	45	422	1797	355	224	36	27%	2.5	19.7%	12.5%	7.3%	2.0%	3.43	4.12	-2.4
/ 200 IP	—	MLE		80	21	200	852	168	106	17	27%	2.5	19.7%	12.5%	7.3%	2.0%	3.43	4.12	-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
Antonio Jimenez (OGILVIE)	—	—	4.90	22.0%	14.1%	2.7%	—	4.81	22.4%	9.2%	377	-0.09	—	—	—
Brian Flynn L 2016 · 3.80 FIP	26	SU	3.80	21.3%	11.1%	2.0%	.258	4.39	16.6%	8.2%	198	+0.59	3.80	277	74
Adam Wolf L 2022 · 3.91 FIP	25	SW	3.91	19.4%	10.6%	2.0%	.292	4.18	16.8%	5.9%	109	+0.27	3.91	383	74
Garrett Irvin L 2023 · 4.42 FIP	24	SU	4.42	23.2%	11.6%	3.3%	.283	4.32	17.7%	2.9%	39	-0.10	4.32	110	72
Larson Kindreich L 2023 · 5.29 FIP	24	SW	5.29	21.5%	18.8%	3.0%	.269	4.68	23.0%	9.0%	79	-0.61	4.16	214	71
Garrett Schoenle L 2023 · 5.38 FIP	25	SP-	5.38	20.5%	15.0%	3.9%	.307	3.59	20.9%	12.2%	172	-1.79	2.32	359	71
Nick Maronde L 2015 · 3.85 FIP	25	SW	3.85	18.3%	8.9%	2.1%	.359	3.62	16.3%	8.9%	48	-0.23	3.62	133	71
Brad Hand L 2015 · 3.95 FIP	25	SW	3.95	16.4%	7.6%	2.3%	.326	2.71	32.9%	25.0%	241	-1.24	0.84	577	70
Braeden Fausnaught L 2023 · 4.77 FIP	24	SW	4.77	16.9%	16.4%	1.8%	.287	4.60	17.9%	9.7%	179	-0.17	4.43	242	70
Zack Thompson L 2023 · 4.50 FIP	25	SP-	4.50	22.8%	12.9%	3.1%	.355	4.69	23.0%	10.8%	107	+0.19	2.03	402	70
Lael Lockhart L 2023 · 4.29 FIP	25	SW	4.29	22.6%	12.9%	2.7%	.302	4.94	19.6%	8.8%	307	+0.65	3.59	520	69
Alec Gamboa L 2022 · 5.36 FIP	25	SW	5.36	14.8%	13.1%	3.4%	.287	3.96	15.8%	4.0%	169	-1.40	1.46	439	69
Hayden Wynja L 2023 · 4.74 FIP	24	SP-	4.74	20.5%	10.5%	3.7%	.315	4.79	18.0%	7.5%	56	+0.05	4.74	154	68
Ismael Guillón L 2017 · 4.35 FIP	25	SU	4.35	19.8%	14.8%	1.9%	.342	4.62	20.7%	8.4%	30	+0.27	4.35	193	68
Matt Tracy L 2015 · 3.96 FIP	26	SW	3.96	14.4%	9.8%	1.5%	.306	4.10	14.7%	5.5%	208	+0.14	3.24	298	68
Chris Murphy L 2023 · 4.02 FIP	25	SW	4.02	21.5%	9.7%	2.8%	.344	3.80	20.9%	9.3%	107	-0.22	3.34	461	68
Caden Monke L 2022 · 5.48 FIP	22	SU	5.48	18.9%	12.8%	4.3%	.323	5.38	19.0%	-0.3%	51	-0.10	4.40	163	68
Trent Szkutnik L 2019 · 4.38 FIP	25	SU	4.38	18.4%	11.8%	2.5%	.316	—	—	—	—	—	3.39	429	68
Sean Mellen L 2022 · 4.01 FIP	24	SU	4.01	21.3%	10.4%	2.5%	.285	—	—	—	—	—	4.01	101	67
Anderson Polanco L 2018 · 5.95 FIP	25	SW	5.95	19.9%	20.9%	3.4%	.298	5.09	18.9%	2.6%	47	-0.86	4.10	316	67
Chazz Martinez L 2023 · 3.76 FIP	23	SU	3.76	22.2%	12.7%	1.7%	.361	3.43	20.5%	7.7%	135	-0.33	3.09	199	67

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	3.7	122	22.1%	13.3%	1.13	4.87
Tyler Chatwood ('21)	2.6	104	19.2%	13.3%	0.94	4.48
James Kaprielian ('23)	1.6	105	20.5%	9.6%	1.26	4.58
Ian Anderson ('22)	1.4	91	22.5%	10.4%	0.96	3.97
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
Dakota Hudson ('24)	2.8	92	15.0%	11.1%	0.91	4.25