José Ureña

P Los Angeles Angels

Age 35 RHP 6'2" / 208 lbs MLB peak 0.4 · 2027

Overview

MLBRP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	31	MIX2 levels	29	29	133	5.89	5.69	17.4%	9.1%	-0.4	K 15.6% · BB 8.5% · FIP 5.50
2024	32	MLBTEX	33	9	109	3.80	4.38	15.1%	8.0%	0.2
2025	33	MIX2 levels	28	13	78	4.29	4.58	15.9%	10.4%	-0.0	K 15.0% · BB 10.0% · FIP 4.48
2026	34	No MLB games played
2027PROJ	35	MLBLAA	10	10	60	4.70	4.85	16.2%	9.2%	0.4
2028PROJ	36	MLBLAA	5	5	30	5.05	5.26	15.2%	9.8%	0.1
2029PROJ	37	MLBLAA	2	2	14	5.41	5.66	14.1%	10.4%	-0.0

Last 3 seasons WAR -0.3 · Next 3 projected WAR 0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2025

FB Velo75

K%10

xwOBA vs10

CompsJesse Estrada (age 35) · Kenshin Kawakami (age 35) · Juan Delgadillo (age 34)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 137128vR 120

ERA4.70

FIP4.85

K%16.2%

BB%9.2%

K-BB%7.1%

Proj IP60

Value2027 · WAR

Runs saved vs league avg · 60 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p7596.3

Whiff%

p1119.8%

p1013.9%

xwOBA vs

p100.389

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 the standard WAR scale.

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)
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	+2.1
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	+2.4
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	+1.8
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	+2.1
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	+1.0
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	+1.1
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	+3.2
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	+3.4
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	+0.9
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	+1.0
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	-0.1
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	-0.1
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	+0.7
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	+0.8
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	+1.5
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	+1.2
2023	31	MIX MLE	2 levels	29	29	133	605	105	55	30	100%	4.6	15.6%	8.5%	7.1%	4.8%	5.89	5.50	-0.1
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	-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 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	15.0%	10.0%	5.0%	2.5%	4.29	4.48	+0.1
2025	33	MIX MLE	2 levels	28	13	78	346	55	36	9	46%	2.8	15.0%	10.0%	5.0%	2.5%	4.29	4.48	+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	+9.4
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	35	MLB	LAA	10	10	60	253	41	23	7	100%	6.0	16.2%	9.2%	7.1%	2.9%	4.70	4.85	+0.4
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	36	MLB MLE	LAA	5	5	30	128	20	13	4	100%	6.1	15.2%	9.8%	5.4%	3.2%	5.01	5.22	+0.1
2029	37	MLB MLE	LAA	2	2	14	60	8	6	2	100%	7.1	14.1%	10.4%	3.7%	3.7%	5.37	5.62	-0.0
2030	38	MLB MLE	LAA	1	1	7	31	4	3	1	100%	7.3	13.0%	11.1%	1.8%	4.1%	5.78	6.05	-0.1
2028	36	MLB CTX	LAA	5	5	30	127	19	12	4	100%	6.0	15.2%	9.8%	5.4%	3.3%	5.05	5.26	+0.1
2029	37	MLB CTX	LAA	2	2	14	59	8	6	2	100%	7.0	14.1%	10.4%	3.7%	3.7%	5.41	5.66	-0.0
2030	38	MLB CTX	LAA	1	1	7	30	4	3	1	100%	7.0	13.0%	11.1%	1.8%	4.2%	5.83	6.10	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		260	167	1055	4574	701	373	145	64%	4.1	15.3%	8.2%	7.2%	3.2%	4.78	4.58	+10.1
/ 200 IP	—	RAW		49	32	200	867	133	71	27	64%	4.1	15.3%	8.2%	7.2%	3.2%	4.78	4.58	+1.9
Career	—	MLE		315	217	1262	5478	843	451	168	69%	4.0	15.4%	8.2%	7.2%	3.1%	4.63	4.53	+9.4
/ 200 IP	—	MLE		50	34	200	868	134	71	27	69%	4.0	15.4%	8.2%	7.2%	3.1%	4.63	4.53	+1.8

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2025 AAASt. Paul Saints · 23 IPFIP 3.64 → 3.65 (+0.00)K% 20.8% → 17.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.79%	—	×0.860	17.88%
BB% (unintentional) /BF	13.86%	—	×0.900	12.48%
HR / BF /BF	0.99%	÷1.253	×1.100	0.87%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 151).

Result: FIP 3.64 → 3.65, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 AAACharlotte Knights · 88 IPFIP 4.86 → 4.88 (+0.01)K% 18.9% → 16.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.91%	—	×0.860	16.26%
BB% (unintentional) /BF	8.21%	—	×0.900	7.39%
HR / BF /BF	4.23%	÷1.152	×1.100	4.04%

Result: FIP 4.86 → 4.88, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2022 AAAAlbuquerque Isotopes · 21 IPFIP 3.98 → 4.21 (+0.24)K% 13.9% → 12.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	13.86%	—	×0.880	12.20%
BB% (unintentional) /BF	11.88%	—	×1.050	12.48%
HR / BF /BF	0.99%	÷1.061	×1.100	1.03%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 112).

Result: FIP 3.98 → 4.21, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2016 AAANew Orleans Zephyrs · 48 IPFIP 3.78 → 4.26 (+0.48)K% 20.1% → 17.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.10%	—	×0.880	17.69%
BB% (unintentional) /BF	10.29%	—	×1.050	10.81%
HR / BF /BF	1.96%	÷0.919	×1.100	2.35%

Result: FIP 3.78 → 4.26, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2015 AAANew Orleans Zephyrs · 68 IPFIP 3.51 → 3.81 (+0.30)K% 14.9% → 13.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	14.86%	—	×0.880	13.07%
BB% (unintentional) /BF	6.88%	—	×1.050	7.23%
HR / BF /BF	1.45%	÷0.975	×1.100	1.64%

Result: FIP 3.51 → 3.81, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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)	—	—	—	—	—	2.9%	—	5.35	14.9%	4.9%	45	+0.50	—	—	—
Jesse Estrada R 2019 · 4.34 FIP	35	SP-	4.34	14.4%	6.6%	2.9%	.312	—	—	—	—	—	3.80	257	75
Kenshin Kawakami R 2010 · 4.06 FIP	35	SP	4.06	15.1%	5.6%	2.8%	.293	—	—	—	—	—	3.97	244	65
Juan Delgadillo R 2017 · 4.47 FIP	34	SP	4.47	10.9%	6.2%	2.7%	.311	—	—	—	—	—	4.47	143	62
Steve Sparks R 2000 · 3.78 FIP	35	SP-	3.78	11.9%	6.5%	1.6%	.283	4.37	11.6%	4.7%	528	+0.59	3.78	1,320	61
Leo Medrano R 2016 · 4.34 FIP	33	SP	4.34	11.0%	7.3%	2.3%	.312	—	—	—	—	—	3.76	222	60
Angel Sánchez R 2024 · 3.77 FIP	34	SP	3.77	11.8%	5.0%	1.9%	.302	—	—	—	—	—	3.77	284	59
Walter Silva R 2009 · 5.72 FIP	32	SP	5.72	9.1%	12.4%	3.3%	.330	—	—	—	—	—	3.67	453	58
Frankie De La Cruz R 2019 · 4.38 FIP	35	SP-	4.38	16.2%	8.0%	3.0%	.322	—	—	—	—	—	2.87	262	57
Jon Leicester R 2015 · 3.76 FIP	36	SP	3.76	12.3%	5.9%	1.7%	.333	—	—	—	—	—	3.76	113	56
Jarrett Grube R 2017 · 4.41 FIP	35	SP	4.41	15.8%	8.1%	3.0%	.296	—	—	—	—	—	3.75	393	55
Jose Oyervides R 2017 · 5.38 FIP	35	SP	5.38	18.0%	6.3%	5.5%	.254	5.66	16.3%	5.1%	115	+0.28	3.01	407	55
Salvador Valdez R 2017 · 3.87 FIP	34	SP	3.87	9.4%	6.1%	1.4%	.328	4.30	17.1%	8.9%	38	+0.43	3.60	326	54
Jorge Martinez R 2019 · 3.71 FIP	34	SP	3.71	16.3%	5.7%	2.3%	.348	—	—	—	—	—	3.53	214	54
Michael Nix R 2016 · 4.60 FIP	33	SP	4.60	11.9%	11.6%	1.9%	.322	—	—	—	—	—	3.82	234	53
Jonathan Castellanos R 2017 · 4.91 FIP	35	SP	4.91	8.4%	9.2%	2.5%	.314	5.24	11.0%	2.0%	67	+0.33	3.40	394	53
Pablo Ortega R 2015 · 4.52 FIP	38	SP	4.52	8.6%	7.3%	2.2%	.291	4.24	11.5%	6.0%	236	-0.28	4.01	375	51
Mitch Talbot R 2019 · 5.01 FIP	35	SP	5.01	13.2%	4.3%	4.5%	.289	—	—	—	—	—	3.82	395	51
Logan Duran R 2016 · 3.77 FIP	34	SP	3.77	15.3%	8.9%	1.5%	.299	3.66	15.5%	6.6%	29	-0.11	3.42	187	50
J.D. Martin R 2018 · 4.94 FIP	35	SP	4.94	10.4%	11.9%	2.2%	.284	5.89	13.9%	1.1%	125	+0.95	4.79	414	50
David Buchanan R 2024 · 4.26 FIP	35	SP-	4.26	14.7%	6.5%	2.9%	.337	5.56	12.2%	4.1%	29	+1.30	3.88	560	50

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 2,161 pitcher careers (1,251 from 1990-2025 + 910 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	5.6	74	15.4%	8.8%	1.22	4.77
Ross Detwiler ('22)	3.8	68	15.3%	8.2%	1.11	4.56
Albie Lopez ('03)	4.2	84	15.0%	9.2%	1.20	4.94
Brian Bohanon ('01)	5.6	93	13.4%	9.8%	1.15	5.19
Mike Bielecki ('84-'97, 9 WAR*)	6.2	95	18.4%*	9.1%*	1.15*	4.47*
John Curtis ('70-'84, 6 WAR*)	8.2	117	16.9%*	9.3%*	1.20*	4.63*
Jerry Augustine ('75-'84, 2 WAR*)	4.7	105	13.5%*	8.3%*	1.15*	4.73*