Walbert Urena

P Los Angeles Angels

Age 23 RHP 6'0" / 210 lbs MLB Svc 0.0 · Ctrl thru 2032 peak 2.3 · 2029

Overview

MLBSP40-MANPre-ArbFA 2033

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	20	A+LAA	16	16	77	4.19	4.04	18.5%	15.6%	—	K 14.2% · BB 17.9% · FIP 4.82
2025	21	MIX2 levels	28	28	141	4.34	3.62	20.7%	12.1%	—	K 16.1% · BB 13.3% · FIP 4.31
2026	22	MIX2 levels	31	29	157	3.16	3.45	22.5%	10.6%	3.7	K 22.7% · BB 10.6% · FIP 3.38
2027PROJ	23	MLBLAA	21	21	111	3.96	4.17	24.0%	12.5%	1.6
2028PROJ95% MLB	24	MLBLAA	19	19	106	4.04	4.07	24.6%	12.1%	1.7
2029PROJ95% MLB	25	MLBLAA	18	18	106	4.02	4.00	25.0%	11.8%	1.8

Last 3 seasons WAR 3.7 · Next 3 projected WAR 5.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2032Service0.971First FA2033

2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Arb-1$3M2031Arb-2$4M2032Arb-3$6M

Skills · percentileStatcast 2026

FB Velo90

xwOBA vs82

K%53

Form3.09 ERA (proj 3.96) · K 24.0% (proj 24.0%) · BB 3.2% (proj 12.5%) ▲▲ last 60d · 32 IP through Oct 27

CompsChase Dollander (age 22) · Mike Baumann (age 23) · Joey Murray (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 10395vR 86

ERA3.96

FIP4.17

K%24.0%

BB%12.5%

K-BB%11.5%

Proj IP111

Value2027 · WAR

Runs saved vs league avg · 111 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$52M ctrl surplus

Statcast · Contract

Statcast Percentiles

FB Velo

p9097.9

Whiff%

p6527.7%

p5322.7%

xwOBA vs

p820.281

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status Pre-Arb

MLB Debut 2026

Service 0.971 yrs.days

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+1.6	$13M	+$12M
2028	Pre-Arb	$0.8M	+1.7	$13M	+$12M
2029	Pre-Arb	$0.8M	+1.8	$12M	+$12M
2030	Arb-1	$3M	+1.2	$8M	+$6M
2031	Arb-2	$4M	+1.1	$6M	+$4M
2032	Arb-3	$6M	+1.0	$5M	+$2M
Totals		$15M		$57M	+$47M

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)
2022	18	ROK MLE	ACL Angels	12	10	37	170	45	32	2	83%	3.1	18.0%	23.5%	-5.5%	1.7%	3.86	5.52	—
2022	18	ROK RAW	ACL Angels	12	10	37	170	45	32	2	83%	3.1	26.5%	18.8%	7.6%	1.2%	3.86	3.96	—
2023	19	A MLE	Inland Empire 66ers	22	21	99	446	97	60	5	95%	4.5	16.1%	15.9%	0.2%	1.6%	5.66	4.64	—
2023	19	A RAW	Inland Empire 66ers	22	21	99	446	97	60	5	95%	4.5	21.7%	13.5%	8.3%	1.1%	5.66	3.62	—
2024	20	A+ MLE	Tri-City Dust Devils	16	16	77	346	64	54	3	100%	4.8	14.2%	17.9%	-3.7%	1.2%	4.19	4.82	—
2024	20	A+ MLE	Tri-City Dust Devils	16	16	77	346	64	54	3	100%	4.8	14.2%	17.9%	-3.7%	1.2%	4.19	4.82	—
2024	20	A+ RAW	Tri-City Dust Devils	16	16	77	346	64	54	3	100%	4.8	18.5%	15.6%	2.9%	0.9%	4.19	4.04	—
2025	21	MIX MLE	2 levels	28	28	141	604	125	73	8	100%	5.0	16.1%	13.3%	2.8%	1.6%	4.34	4.31	—
2025	21	MIX MLE	2 levels	28	28	141	604	125	73	8	100%	5.0	16.1%	13.3%	2.8%	1.6%	4.34	4.31	—
2025	21	MIX RAW	2 levels	28	28	141	604	125	73	8	100%	5.0	20.7%	12.1%	8.6%	1.3%	4.34	3.62	—
2026	22	MIX MLE	2 levels	31	29	157	662	149	70	11	94%	5.1	22.7%	10.6%	12.2%	1.6%	3.16	3.38	+3.9
2026	22	MIX MLE	2 levels	31	29	157	662	149	70	11	94%	5.1	22.7%	10.6%	12.2%	1.6%	3.16	3.38	+3.9
2026	22	MIX RAW	2 levels	31	29	157	662	149	70	11	94%	5.1	22.5%	10.6%	11.9%	1.7%	3.16	3.45	+3.7
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			29	27	148	625	142	66	10	93%	5.1	22.7%	10.6%	12.2%	1.6%	2.97	3.40	+3.6
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	LAA	21	21	111	469	113	59	10	100%	5.3	24.0%	12.5%	11.5%	2.1%	3.96	4.17	+1.6
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	LAA	20	20	111	470	116	57	10	100%	5.6	24.6%	12.1%	12.5%	2.0%	4.02	4.05	+1.8
2029	25	MLB MLE	LAA	19	19	111	470	117	56	10	100%	5.9	25.0%	11.8%	13.1%	2.0%	4.00	3.98	+1.9
2030	26	MLB MLE	LAA	12	12	73	308	78	36	6	100%	6.1	25.2%	11.8%	13.4%	2.0%	3.98	3.96	+1.3
2031	27	MLB MLE	LAA	12	12	69	291	73	35	6	100%	5.8	25.1%	11.9%	13.3%	2.1%	3.99	4.00	+1.1
2032	28	MLB MLE	LAA	11	11	65	273	68	33	6	100%	5.9	25.0%	12.0%	13.0%	2.2%	4.04	4.08	+1.0
2033	29	MLB MLE	LAA	9	9	54	229	56	28	5	100%	6.0	24.4%	12.3%	12.2%	2.3%	4.16	4.24	+0.7
2034	30	MLB MLE	LAA	7	7	42	179	43	23	5	100%	6.1	23.7%	12.6%	11.2%	2.5%	4.33	4.45	+0.5
2035	31	MLB MLE	LAA	5	5	31	132	30	17	4	100%	6.3	23.0%	12.9%	10.1%	2.7%	4.54	4.68	+0.3
2036	32	MLB MLE	LAA	4	4	22	91	20	12	3	100%	5.4	22.2%	13.3%	8.9%	3.0%	4.78	4.94	+0.1
2037	33	MLB MLE	LAA	2	2	14	59	13	8	2	100%	7.0	21.3%	13.8%	7.6%	3.3%	5.04	5.22	+0.0
2028	24	MLB CTX	LAA	19	19	106	448	110	54	9	100%	5.6	24.6%	12.1%	12.5%	2.1%	4.04	4.07	+1.7
2029	25	MLB CTX	LAA	18	18	106	448	112	53	9	100%	5.9	25.0%	11.8%	13.1%	2.1%	4.02	4.00	+1.8
2030	26	MLB CTX	LAA	12	12	69	291	73	34	6	100%	5.8	25.2%	11.8%	13.4%	2.1%	4.00	3.98	+1.2
2031	27	MLB CTX	LAA	11	11	66	279	70	33	6	100%	6.0	25.1%	11.9%	13.3%	2.1%	4.01	4.02	+1.1
2032	28	MLB CTX	LAA	10	10	61	258	64	31	6	100%	6.1	25.0%	12.0%	13.0%	2.2%	4.06	4.10	+1.0
2033	29	MLB CTX	LAA	9	9	52	220	54	27	5	100%	5.8	24.4%	12.3%	12.2%	2.4%	4.19	4.27	+0.7
2034	30	MLB CTX	LAA	7	7	40	169	40	21	4	100%	5.7	23.7%	12.6%	11.2%	2.6%	4.36	4.48	+0.4
2035	31	MLB CTX	LAA	5	5	30	127	29	16	4	100%	6.0	23.0%	12.9%	10.1%	2.8%	4.57	4.71	+0.2
2036	32	MLB CTX	LAA	3	3	20	84	19	11	3	100%	6.7	22.2%	13.3%	8.9%	3.1%	4.81	4.97	+0.1
2037	33	MLB CTX	LAA	2	2	13	55	12	8	2	100%	6.5	21.3%	13.8%	7.6%	3.3%	5.08	5.26	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		125	123	712	3003	725	355	64	98%	5.7	24.1%	11.8%	12.3%	2.1%	3.90	3.72	+14.4
/ 200 IP	—	RAW		35	34	200	844	204	100	18	98%	5.7	24.1%	11.8%	12.3%	2.1%	3.90	3.72	+4.1
Career	—	MLE		109	104	511	2228	399	323	34	95%	4.7	17.9%	14.5%	3.4%	1.5%	4.17	4.27	+12.3
/ 200 IP	—	MLE		43	41	200	872	156	126	13	95%	4.7	17.9%	14.5%	3.4%	1.5%	4.17	4.27	+3.3

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.

2026 AAASalt Lake Bees · 8 IPFIP 4.36 → 4.59 (+0.24)K% 18.9% → 16.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.92%	—	×0.860	16.27%
BB% (unintentional) /BF	10.81%	—	×0.900	9.73%
HR / BF /BF	2.70%	÷1.000	×1.100	2.97%

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 100).

Result: FIP 4.36 → 4.59, 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).

2025 AARocket City Trash Pandas · 135 IPFIP 3.71 → 4.31 (+0.60)K% 19.8% → 16.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.83%	—	×0.810	16.06%
BB% (unintentional) /BF	12.07%	—	×1.100	13.28%
HR / BF /BF	1.38%	÷1.028	×1.200	1.61%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 106).

Result: FIP 3.71 → 4.31, 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).

2025 AAASalt Lake Bees · 6 IPFIP 1.16 → 1.50 (+0.33)K% 41.7% → 35.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	41.67%	—	×0.860	35.83%
BB% (unintentional) /BF	12.50%	—	×0.900	11.25%
HR / BF /BF	0.00%	÷0.989	×1.100	0.00%

Result: FIP 1.16 → 1.50, 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).

2024 A+Tri-City Dust Devils · 77 IPFIP 3.99 → 4.82 (+0.83)K% 18.5% → 14.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.50%	—	×0.770	14.24%
BB% (unintentional) /BF	15.61%	—	×1.150	17.95%
HR / BF /BF	0.87%	÷0.916	×1.250	1.18%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 83).

Result: FIP 3.99 → 4.82, 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 AInland Empire 66ers · 99 IPFIP 3.58 → 4.64 (+1.06)K% 21.7% → 16.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.75%	—	×0.740	16.09%
BB% (unintentional) /BF	13.45%	—	×1.180	15.87%
HR / BF /BF	1.12%	÷0.897	×1.300	1.62%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 79).

Result: FIP 3.58 → 4.64, 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 ROKACL Angels · 37 IPFIP 3.89 → 5.52 (+1.62)K% 26.5% → 18.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.47%	—	×0.680	18.00%
BB% (unintentional) /BF	18.82%	—	×1.250	23.53%
HR / BF /BF	1.18%	÷0.943	×1.400	1.75%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 89).

Result: FIP 3.89 → 5.52, 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
Walbert Urena (OGILVIE)	—	—	—	—	—	2.1%	—	4.00	24.9%	12.9%	296	-0.17	—	—	—
Chase Dollander R 2024 · 3.11 FIP	22	SP	3.11	26.5%	10.6%	1.7%	.315	4.48	20.5%	9.7%	157	+1.37	3.11	275	77
Mike Baumann R 2019 · 3.00 FIP	23	SP	3.00	22.8%	10.3%	0.9%	.269	3.92	21.1%	10.9%	170	+0.92	3.00	559	76
Joey Murray R 2019 · 3.58 FIP	22	SP	3.58	23.4%	9.9%	2.2%	.285	6.12	20.0%	4.6%	21	+2.54	3.58	170	74
Roman Angelo R 2024 · 3.99 FIP	24	SP	3.99	22.6%	11.4%	2.5%	.291	5.72	18.6%	5.2%	169	+1.73	3.99	290	74
Wyatt Marks R 2018 · 4.20 FIP	23	SP	4.20	21.3%	10.7%	2.8%	.301	6.34	9.5%	-10.4%	18	+2.14	4.20	152	74
Gavin Williams R 2022 · 3.44 FIP	23	SP	3.44	26.2%	9.9%	2.4%	.238	3.87	25.1%	14.3%	398	+0.43	3.39	697	73
Nolan McLean R 2024 · 4.40 FIP	23	SP	4.40	20.0%	10.1%	3.1%	.292	3.26	25.6%	16.0%	341	-1.14	3.17	451	73
Jaime Schultz R 2015 · 4.54 FIP	24	SP	4.54	23.2%	16.9%	2.3%	.297	3.87	27.5%	14.7%	209	-0.67	2.19	391	72
Nick Nastrini R 2023 · 4.02 FIP	23	SP	4.02	22.8%	11.5%	2.5%	.288	5.95	19.1%	3.2%	168	+1.93	4.02	412	72
Trent Baker R 2022 · 4.05 FIP	23	SP	4.05	19.3%	10.7%	2.2%	.315	4.06	18.1%	9.6%	296	+0.01	3.86	496	72
Austin Love R 2022 · 4.34 FIP	23	SP	4.34	20.6%	10.6%	3.0%	.358	3.58	22.1%	9.7%	56	-0.76	3.58	240	72
Drue Hackenberg R 2024 · 3.17 FIP	22	SP	3.17	21.0%	12.2%	0.5%	.286	4.73	16.9%	3.9%	151	+1.56	3.17	280	72
George Klassen R 2024 · 3.50 FIP	22	SP	3.50	27.0%	13.6%	1.7%	.299	4.01	20.6%	9.1%	221	+0.51	3.50	314	72
Luke Russo R 2024 · 3.74 FIP	23	SP	3.74	21.7%	11.1%	1.9%	.326	5.00	19.6%	8.8%	159	+1.26	3.74	260	71
Louis Varland R 2021 · 3.09 FIP	23	SP	3.09	25.4%	8.3%	2.0%	.313	4.22	22.3%	15.1%	435	+1.13	1.70	689	71
Kyle Wright R 2019 · 4.32 FIP	23	SP	4.32	21.1%	8.6%	3.5%	.307	3.62	22.1%	13.8%	355	-0.70	3.32	669	71
Dinelson Lamet R 2015 · 4.36 FIP	23	SP	4.36	20.1%	11.8%	2.7%	.272	3.69	24.2%	13.1%	293	-0.67	2.11	778	71
Riley Gowens R 2024 · 4.55 FIP	24	SP	4.55	22.6%	10.3%	3.7%	.279	4.37	21.3%	12.1%	173	-0.18	4.30	295	71
Michael Kopech R 2018 · 3.20 FIP	22	SP	3.20	26.9%	10.6%	1.9%	.308	2.77	36.1%	28.0%	69	-0.43	2.77	800	71
Drey Jameson R 2021 · 4.16 FIP	23	SP	4.16	24.6%	8.7%	3.7%	.310	4.42	20.0%	11.5%	226	+0.26	4.16	400	71

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	4.3	71	24.1%	12.0%	0.81	3.90
Juan Cruz ('12)	3.3	60	23.1%	12.1%	0.92	4.05
Mark Wohlers ('02)	2.8	55	23.2%	11.3%	0.60	3.97
Greg Cadaret ('87-'98, 4 WAR*)	3.6	80	22.3%*	12.1%*	0.88*	4.14*
Rudy Seanez ('08)	2.8	43	23.1%	11.4%	0.93	4.11
Tippy Martinez ('74-'88, 9 WAR*)	4.2	76	27.7%*	12.0%*	0.77*	3.82*
Jeff Parrett ('86-'96, 6 WAR*)	3.6	72	24.8%*	11.0%*	1.02*	4.07*