José Ureña — OGILVIE

José Ureña P Los Angeles Angels

Age 34 RHP 6'2" / 208 lbs MLB peak 0.3 · 2026

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

showingROS

wRC+ AGAINSTvL 137129vR 121

ERA4.87

FIP4.92

K%16.0%

BB%9.0%

K-BB%7.0%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 5 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

K†4040

Statcast Percentiles

FB Velo

p7596.3

Whiff%

p1119.8%

p1013.9%

xwOBA vs

p100.389

SI (11%)

SL-1.7 (26%)

CH-2.2 (25%)

FB-5.7 (46%)

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	23	MIX MLE	3 levels	32	21	131	556	71	42	9	66%	4.1	11.7%	7.8%	3.8%	1.8%	3.84	4.08	+1.3
2015	23	MIX RAW	3 levels	32	21	131	556	71	42	9	66%	4.1	12.8%	7.6%	5.2%	1.6%	3.84	3.87	+1.6
2016	24	MIX MLE	2 levels	40	24	132	577	99	44	15	60%	3.3	16.3%	7.8%	8.5%	2.8%	5.05	4.27	+1.0
2016	24	MIX RAW	2 levels	40	24	132	577	99	44	15	60%	3.3	17.2%	7.6%	9.5%	2.6%	5.05	4.08	+1.3
2017	25	MLB MLE	Miami Marlins	34	28	170	724	113	60	26	82%	5.0	15.6%	8.3%	7.3%	3.8%	3.82	4.91	-0.0
2017	25	MLB RAW	Miami Marlins	34	28	170	724	113	60	26	82%	5.0	15.6%	8.3%	7.3%	3.6%	3.82	4.82	+0.2
2018	26	MLB MLE	Miami Marlins	31	31	174	712	130	43	19	100%	5.6	18.3%	6.0%	12.2%	2.8%	3.98	3.86	+2.2
2018	26	MLB RAW	Miami Marlins	31	31	174	712	130	43	19	100%	5.6	18.3%	6.0%	12.2%	2.7%	3.98	3.77	+2.4
2019	27	MIX MLE	4 levels	29	15	90	392	65	24	14	52%	3.1	16.8%	6.2%	10.6%	3.7%	5.00	4.51	+0.4
2019	27	MIX RAW	4 levels	29	15	90	392	65	24	14	52%	3.1	16.6%	6.1%	10.5%	3.6%	5.00	4.48	+0.4
2020	28	MLB MLE	Miami Marlins	5	5	23	104	15	13	4	100%	4.7	14.4%	12.5%	1.9%	4.0%	5.40	5.69	-0.2
2020	28	MLB RAW	Miami Marlins	5	5	23	104	15	13	4	100%	4.7	14.4%	12.5%	1.9%	3.8%	5.40	5.71	-0.2
2021	29	MIX MLE	2 levels	28	20	104	466	69	43	14	71%	3.7	14.7%	9.2%	5.5%	3.2%	5.64	4.79	+0.1
2021	29	MIX RAW	2 levels	28	20	104	466	69	43	14	71%	3.7	14.8%	9.2%	5.6%	3.0%	5.64	4.77	+0.2
2022	30	MIX MLE	2 levels	26	22	118	533	77	55	12	85%	4.5	14.1%	10.4%	3.7%	2.0%	5.42	4.34	+0.8
2022	30	MIX RAW	2 levels	26	22	118	533	77	55	12	85%	4.5	14.4%	10.3%	4.1%	2.3%	5.42	4.52	+0.5
2023	31	MIX MLE	2 levels	29	29	133	605	105	55	30	100%	4.6	15.2%	8.5%	6.7%	4.8%	5.89	5.53	-0.9
2023	31	MIX MLE	2 levels	29	29	133	605	105	55	30	100%	4.6	15.2%	8.5%	6.7%	4.8%	5.89	5.53	-0.9
2023	31	MIX RAW	2 levels	29	29	133	605	105	55	30	100%	4.6	17.4%	9.1%	8.3%	5.0%	5.89	5.69	-1.2
2024	32	MLB MLE	Texas Rangers	33	9	109	463	70	37	13	27%	3.3	15.1%	8.0%	7.1%	2.6%	3.80	4.27	+0.4
2024	32	MLB MLE	Texas Rangers	33	9	109	463	70	37	13	27%	3.3	15.1%	8.0%	7.1%	2.6%	3.80	4.27	+0.4
2024	32	MLB RAW	Texas Rangers	33	9	109	463	70	37	13	27%	3.3	15.1%	8.0%	7.1%	2.8%	3.80	4.38	+0.2
2025	33	MIX MLE	2 levels	28	13	78	346	55	36	9	46%	2.8	14.9%	10.0%	4.9%	2.5%	4.29	4.50	+0.1
2025	33	MIX MLE	2 levels	28	13	78	346	55	36	9	46%	2.8	14.9%	10.0%	4.9%	2.5%	4.29	4.50	+0.1
2025	33	MIX RAW	2 levels	28	13	78	346	55	36	9	46%	2.8	15.9%	10.4%	5.5%	2.6%	4.29	4.58	-0.0
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			251	158	1003	4355	669	351	137	63%	4.0	15.4%	8.1%	7.3%	3.1%	4.75	4.59	+3.6
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	34	MLB	LAA	1	1	5	21	3	2	1	100%	5.0	16.0%	9.0%	7.0%	3.0%	4.87	4.92	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	35	MLB MLE	LAA	9	9	56	235	35	23	8	100%	6.2	15.0%	9.6%	5.5%	3.3%	5.10	5.25	-0.2
2028	36	MLB MLE	LAA	8	8	49	208	29	21	8	100%	6.2	14.0%	10.2%	3.8%	3.7%	5.41	5.62	-0.4
2029	37	MLB MLE	LAA	7	7	43	182	23	20	7	100%	6.1	12.9%	10.8%	2.1%	4.1%	5.78	6.02	-0.5
2027	35	MLB CTX	LAA	9	9	56	236	36	23	8	100%	6.2	15.0%	9.6%	5.5%	3.4%	5.14	5.29	-0.2
2028	36	MLB CTX	LAA	8	8	49	207	29	21	8	100%	6.1	14.0%	10.2%	3.8%	3.8%	5.45	5.66	-0.4
2029	37	MLB CTX	LAA	7	7	43	182	23	20	8	100%	6.1	12.9%	10.8%	2.1%	4.2%	5.83	6.07	-0.5
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		276	183	1151	4980	757	414	161	66%	4.2	15.2%	8.3%	6.9%	3.2%	4.84	4.64	+3.5
/ 200 IP	—	RAW		48	32	200	865	131	72	28	66%	4.2	15.2%	8.3%	6.9%	3.2%	4.84	4.64	+0.6
Career	—	MLE		315	217	1262	5478	840	451	168	69%	4.0	15.3%	8.2%	7.1%	3.1%	4.63	4.53	+2.4
/ 200 IP	—	MLE		50	34	200	868	133	71	27	69%	4.0	15.3%	8.2%	7.1%	3.1%	4.63	4.53	+0.4

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
José Ureña (OGILVIE)	—	—	4.92	16.0%	9.0%	3.0%	—	5.60	14.1%	3.9%	148	+0.68	—	—	—
Mike Pelfrey R 2017 · 5.69 FIP	33	SP-	5.69	14.5%	10.6%	4.5%	.266	—	—	—	—	—	3.70	404	69
Guillermo Moscoso R 2018 · 5.07 FIP	34	SP-	5.07	18.2%	8.4%	4.5%	.318	4.35	12.6%	5.9%	104	-0.72	3.77	264	67
Alexi Ogando R 2018 · 4.10 FIP	34	SW	4.10	15.0%	6.4%	2.6%	.312	—	—	—	—	—	3.79	132	66
Matt Garza R 2017 · 4.57 FIP	33	SP	4.57	15.7%	8.1%	3.2%	.283	—	—	—	—	—	4.00	365	66
Jason Berken R 2016 · 4.54 FIP	32	SW	4.54	11.5%	8.3%	2.5%	.308	—	—	—	—	—	4.34	219	64
Juan Omar Espinoza R 2016 · 4.84 FIP	32	SP-	4.84	8.4%	9.2%	2.4%	.348	—	—	—	—	—	4.81	104	63
Alfredo Aceves R 2017 · 5.10 FIP	34	SP	5.10	8.9%	8.9%	3.0%	.323	—	—	—	—	—	4.78	160	62
Andres Ivan Meza R 2019 · 4.33 FIP	32	SP	4.33	11.7%	7.7%	2.3%	.349	—	—	—	—	—	4.14	275	62
Sergio Valenzuela R 2017 · 5.66 FIP	32	SP	5.66	10.6%	6.5%	4.8%	.355	—	—	—	—	—	3.66	244	61
Rolando Valdez R 2019 · 5.36 FIP	33	SP-	5.36	11.7%	7.6%	4.2%	.360	—	—	—	—	—	3.06	258	61
Juan Delgadillo R 2017 · 4.47 FIP	34	SP	4.47	10.9%	6.2%	2.7%	.311	—	—	—	—	—	4.47	143	60
Jarrett Grube R 2016 · 4.74 FIP	34	SP-	4.74	18.9%	7.2%	4.2%	.280	4.41	15.8%	7.7%	134	-0.33	3.75	393	60
Kameron Loe R 2016 · 3.84 FIP	34	SP	3.84	11.9%	5.3%	2.0%	.356	3.38	17.1%	9.1%	133	-0.46	3.38	201	59
Roberto Hernandez R 2015 · 4.38 FIP	34	SP-	4.38	11.8%	6.7%	2.6%	.287	4.38	13.8%	6.8%	86	+0.00	4.38	171	59
Leo Medrano R 2016 · 4.34 FIP	33	SP	4.34	11.0%	7.3%	2.3%	.312	—	—	—	—	—	3.76	222	57
Jerome Williams R 2016 · 5.81 FIP	34	SW	5.81	11.7%	6.1%	5.3%	.286	—	—	—	—	—	4.72	195	56
Thad Weber R 2017 · 5.25 FIP	32	SP-	5.25	13.2%	4.4%	4.9%	.398	—	—	—	—	—	4.40	363	56
Mitch Talbot R 2018 · 3.82 FIP	34	SP	3.82	13.7%	5.6%	2.1%	.281	5.01	13.2%	8.9%	59	+1.19	3.82	162	55
Sergio Mitre R 2017 · 4.76 FIP	36	SP	4.76	9.7%	4.8%	3.4%	.282	4.54	11.8%	5.3%	103	-0.22	4.54	156	55
Matt Cain R 2017 · 4.82 FIP	32	SP	4.82	13.2%	7.6%	3.4%	.322	—	—	—	—	—	4.82	294	55

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	1.1	53	14.6%	9.8%	1.35	5.24
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Alex Young ('23)	1.3	52	19.5%	8.6%	1.61	4.43
Eddie Butler ('18)	1.2	62	13.3%	9.8%	1.49	5.74
Roansy Contreras ('24)	1.2	77	19.5%	10.1%	1.36	4.78
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21