Dany Jiménez — OGILVIE

Dany Jiménez P Oakland Athletics

Age 32 RHP 6'1" / 182 lbs MLB

2026 ROS PROJECTION0 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 135127vR 119

ERA4.90

FIP5.36

K%24.0%

BB%15.2%

K-BB%8.8%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 5 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF6565

CTRL2525

CMD4040

K†6060

Statcast Percentiles

FB Velo

p2292.5

Whiff%

p7629.3%

p4521.4%

xwOBA vs

p200.348

CU (58%)

CH-0.6 (4%)

FB-3.2 (38%)

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)
2015	21	ROK MLE	DSL Blue Jays	3	0	9	36	12	4	2	0%	2.9	33.3%	11.1%	22.2%	5.6%	5.19	4.74	—
2015	21	ROK RAW	DSL Blue Jays	3	0	9	36	12	4	2	0%	2.9	33.3%	11.1%	22.2%	5.6%	5.19	4.72	—
2016	22	ROK MLE	GCL Blue Jays	11	8	46	186	48	18	1	73%	4.2	17.5%	12.1%	5.5%	0.8%	2.72	3.56	—
2016	22	ROK RAW	GCL Blue Jays	11	8	46	186	48	18	1	73%	4.2	25.8%	9.7%	16.1%	0.5%	2.72	2.47	—
2017	23	ROK MLE	GCL Blue Jays	1	0	1	6	1	0	0	0%	1.0	16.7%	0.0%	16.7%	0.0%	9.00	1.69	—
2017	23	ROK RAW	GCL Blue Jays	1	0	1	6	1	0	0	0%	1.0	16.7%	0.0%	16.7%	0.0%	9.00	1.10	—
2018	24	A MLE	Lansing Lugnuts	38	0	63	274	80	22	10	0%	1.7	21.6%	9.5%	12.1%	4.6%	3.84	4.99	—
2018	24	A RAW	Lansing Lugnuts	38	0	63	274	80	22	10	0%	1.7	29.2%	8.0%	21.2%	3.6%	3.84	3.67	—
2019	25	MIX MLE	2 levels	45	0	59	241	93	19	6	0%	1.3	30.5%	8.8%	21.6%	3.2%	2.59	3.39	—
2019	25	MIX RAW	2 levels	45	0	59	241	93	19	6	0%	1.3	38.6%	7.9%	30.7%	2.5%	2.59	2.24	—
2020	26	MLB MLE	San Francisco Giants	2	0	1	8	1	3	0	0%	0.7	12.5%	37.5%	-25.0%	0.0%	6.75	6.79	-0.0
2020	26	MLB RAW	San Francisco Giants	2	0	1	8	1	3	0	0%	0.7	12.5%	37.5%	-25.0%	0.0%	6.75	8.35	-0.1
2021	27	AAA MLE	Buffalo Bisons	39	1	45	187	73	25	5	3%	1.1	34.4%	14.0%	20.3%	2.7%	2.22	3.47	—
2021	27	AAA RAW	Buffalo Bisons	39	1	45	187	73	25	5	3%	1.1	39.0%	13.4%	25.7%	2.7%	2.22	2.97	—
2022	28	MIX MLE	2 levels	36	0	36	151	38	14	2	0%	1.0	23.4%	9.7%	13.8%	1.5%	3.22	3.17	+0.6
2022	28	MIX RAW	2 levels	36	0	36	151	38	14	2	0%	1.0	25.2%	9.3%	15.9%	1.3%	3.22	2.88	+0.7
2023	29	MIX MLE	2 levels	34	2	32	134	35	20	5	6%	0.9	22.3%	13.8%	8.5%	3.5%	5.34	4.89	-0.1
2023	29	MIX MLE	2 levels	34	2	32	134	35	20	5	6%	0.9	22.3%	13.8%	8.5%	3.5%	5.34	4.89	-0.1
2023	29	MIX RAW	2 levels	34	2	32	134	35	20	5	6%	0.9	26.1%	14.9%	11.2%	3.7%	5.34	4.82	-0.1
2024	30	MIX MLE	2 levels	46	0	50	219	55	32	10	0%	1.1	22.8%	14.0%	8.8%	5.0%	4.53	5.71	-0.7
2024	30	MIX MLE	2 levels	46	0	50	219	55	32	10	0%	1.1	22.8%	14.0%	8.8%	5.0%	4.53	5.71	-0.7
2024	30	MIX RAW	2 levels	46	0	50	219	55	32	10	0%	1.1	25.1%	14.6%	10.5%	4.6%	4.53	5.44	-0.5
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			86	1	85	364	81	49	11	1%	1.0	22.3%	13.5%	8.8%	3.0%	3.93	4.61	-0.1
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	32	MLB	OAK	5	0	5	21	5	3	1	0%	1.0	24.0%	15.2%	8.8%	3.6%	4.90	5.36	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	33	MLB MLE	OAK	51	0	53	225	52	34	9	0%	1.0	23.1%	15.0%	8.1%	3.8%	5.24	5.53	-0.6
2028	34	MLB MLE	OAK	46	0	48	204	45	31	8	0%	1.1	22.2%	15.1%	7.1%	4.1%	5.51	5.75	-0.6
2029	35	MLB MLE	OAK	41	0	43	183	39	28	8	0%	1.1	21.3%	15.3%	6.0%	4.3%	5.78	6.01	-0.7
2027	33	MLB CTX	OAK	49	0	51	215	50	32	8	0%	1.0	23.1%	15.0%	8.1%	3.8%	5.24	5.53	-0.6
2028	34	MLB CTX	OAK	42	0	44	186	41	28	8	0%	1.0	22.2%	15.1%	7.1%	4.1%	5.51	5.75	-0.6
2029	35	MLB CTX	OAK	35	0	37	156	33	24	7	0%	1.1	21.3%	15.3%	6.0%	4.3%	5.78	6.01	-0.6
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		211	1	216	920	205	133	34	0%	1.0	22.3%	14.5%	7.8%	3.6%	4.88	5.05	-1.3
/ 200 IP	—	RAW		195	1	200	850	190	123	31	0%	1.0	22.3%	14.5%	7.8%	3.6%	4.88	5.05	-1.2
Career	—	MLE		255	11	342	1442	359	167	47	4%	1.3	24.9%	11.6%	13.3%	3.2%	3.50	4.24	-2.1
/ 200 IP	—	MLE		149	6	200	842	210	97	27	4%	1.3	24.9%	11.6%	13.3%	3.2%	3.50	4.24	-1.8

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
Dany Jiménez (OGILVIE)	—	—	5.36	24.0%	15.2%	3.6%	—	5.75	22.3%	7.1%	145	+0.39	—	—	—
Clayton Mortensen R 2017 · 4.59 FIP	32	SU	4.59	23.2%	14.2%	3.0%	.258	—	—	—	—	—	4.31	221	77
Hirokazu Sawamura R 2021 · 4.48 FIP	33	SU	4.48	26.2%	11.2%	4.0%	.263	4.02	18.1%	6.8%	51	-0.46	4.02	104	76
Brandon Workman R 2021 · 4.97 FIP	32	SU	4.97	18.4%	14.0%	3.0%	.364	—	—	—	—	—	2.04	269	72
Fernando Nieve R 2015 · 4.27 FIP	33	SU	4.27	22.0%	10.5%	3.1%	.290	2.43	26.9%	22.6%	89	-1.84	1.96	112	71
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	71
Joakim Soria R 2016 · 4.33 FIP	32	SU	4.33	23.2%	9.2%	3.7%	.319	2.63	28.5%	21.7%	186	-1.70	2.01	380	69
David Phelps R 2019 · 4.35 FIP	32	SU	4.35	24.5%	10.9%	3.5%	.289	3.46	26.7%	16.6%	84	-0.89	2.50	373	69
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	68
Luis García R 2019 · 5.34 FIP	32	SU	5.34	20.5%	11.5%	4.6%	.273	2.51	25.7%	19.8%	112	-2.83	2.33	617	68
Manny Acosta R 2016 · 4.19 FIP	35	SU	4.19	18.1%	9.1%	2.7%	.273	3.08	23.2%	9.9%	44	-1.11	3.08	102	67
Rafael Martín R 2016 · 4.74 FIP	32	SU	4.74	20.5%	10.7%	3.7%	.265	3.96	21.3%	15.8%	110	-0.78	2.94	227	66
Junichi Tazawa R 2018 · 5.14 FIP	32	SU	5.14	20.4%	10.1%	4.5%	.362	4.16	17.0%	8.6%	21	-0.98	2.94	227	66
Brad Boxberger R 2020 · 4.65 FIP	32	SU	4.65	22.8%	10.1%	4.0%	.280	3.49	27.2%	17.5%	149	-1.16	3.01	363	66
Dustin McGowan R 2015 · 5.32 FIP	33	SU	5.32	15.0%	14.5%	3.0%	.300	4.23	20.9%	13.0%	145	-1.09	3.82	208	66
Austin Adams R 2019 · 5.80 FIP	32	SU	5.80	20.8%	10.6%	5.7%	.280	—	—	—	—	—	3.40	162	65
Antonio Guzman R 2019 · 4.96 FIP	31	SU	4.96	19.3%	14.7%	3.0%	.326	—	—	—	—	—	3.15	254	65
Jeff Manship R 2016 · 4.87 FIP	31	SU	4.87	19.0%	10.6%	3.7%	.262	—	—	—	—	—	2.83	114	64
Jean Machi R 2015 · 4.56 FIP	33	SU	4.56	16.3%	8.6%	3.2%	.276	4.24	18.5%	11.9%	128	-0.32	4.12	186	64
Fredy Quintero R 2019 · 4.62 FIP	31	SU	4.62	17.2%	13.7%	2.2%	.310	—	—	—	—	—	4.29	241	63
Tyler Clippard R 2017 · 4.37 FIP	32	SU	4.37	27.3%	11.4%	3.9%	.243	3.59	28.0%	21.3%	157	-0.78	2.49	417	63

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	1.0	51	22.8%	15.2%	1.52	5.32
Amir Garrett ('23)	1.5	51	25.8%	13.4%	1.50	5.10
Touki Toussaint ('24)	1.4	40	23.1%	14.1%	1.25	5.39
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Michael Kopech ('24)	1.9	96	26.1%	12.5%	1.45	4.15
Lucas Sims ('24)	1.4	47	27.6%	11.6%	1.24	4.22
Daniel Bard ('23)	1.0	50	25.1%	13.5%	0.81	3.82