Ramón Urías — OGILVIE

Ramón Urías3B St. Louis Cardinals

INJURED · Injured 10-Day (D10)

Age 32 R/R 5'9" / 185 lbs MLB HR -7%K -4% Svc 5.145 · Ctrl thru 2026 peak 0.4 · 2026

wRC+†vL 11599vR 81

AVG/OBP/SLG.251 / .312 / .406

PA165

HR5

K%22

BB%7

MLB%100%

Scouting · now → future

HIT

45→45

PWR

50→50

SPD

50→50

EYE

47↗50

trajectory · 10 yrs

0.8peak

2027

Contract

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

Status Arb-3

MLB Debut 2020

Service 5.145 yrs.days

Team Control Through 2026

First FA Year 2027

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-3	$2M	+0.4	$2M	+$0.0M (cut)
Totals		$2M		$2M	+$0.0M

Options · projected decision
2027	MUTUAL OPT	$2027.0M / $0.0M buyout	DECLINE
2028	MUTUAL OPT	$4.0M / $0.0M buyout	DECLINE

Career Projections (MLE)

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2011	17	ROK	DSL Rangers	152	128	23	4	0	1	9	29	9	2	1	.180	.281	.234	.515	.055	.220	19	6	.224	30	-12	+0	+0	+1	+4	-0.7
2012	18	ROK	DSL Rangers	223	195	46	9	0	1	9	23	10	3	3	.236	.304	.297	.601	.062	.259	10	4	.250	50	-13	-1	+0	+1	+6	-0.6
2014	20	AAA	2 teams	295	265	55	9	2	4	13	69	12	4	7	.208	.276	.302	.578	.094	.266	23	4	.254	53	-16	-2	+0	+1	+8	-0.9
2015	21	AAA	2 teams	660	601	182	22	5	12	25	101	13	18	15	.303	.344	.416	.760	.113	.346	15	4	.326	108	+6	-2	+0	+2	+19	2.5
2016	22	AAA	2 teams	310	271	64	11	1	0	18	69	17	6	3	.236	.324	.284	.608	.048	.314	22	6	.300	88	-4	+0	+0	+1	+9	0.6
2017	23	AAA	2 teams	720	625	173	32	4	23	43	146	39	18	19	.277	.361	.451	.812	.174	.327	20	6	.349	125	+21	-4	+0	+3	+20	4.0
2018	24	INTL	3 teams	560	513	132	39	0	17	28	124	7	6	4	.257	.305	.433	.737	.175	.305	22	5	.310	95	-3	-0	+0	+2	+16	1.5
2019	25	AAA	3 teams	519	456	92	25	0	10	40	136	14	4	1	.202	.286	.322	.609	.121	.259	26	8	.274	68	-19	+0	+0	+2	+15	-0.2
2020	26	MLB	Baltimore Orioles	27	25	9	2	0	1	2	6	0	0	0	.360	.407	.560	.967	.200	.444	22	7	.430	187	+3	+0	-3	+0	+1	0.1
2021	27	MLB	2 teams	397	354	94	19	1	9	34	107	8	2	3	.266	.343	.401	.745	.136	.357	27	9	.328	109	+4	-1	-5	+4	+11	1.4
2022	28	MLB	Baltimore Orioles	445	403	99	17	1	17	30	98	5	1	0	.246	.306	.419	.725	.174	.281	22	7	.309	94	-3	+0	+6	+2	+13	1.8
2023	29	MLB	Baltimore Orioles	396	360	95	22	3	4	27	101	8	3	1	.264	.329	.375	.704	.111	.355	26	7	.315	99	-0	+0	-6	+1	+11	0.7
2024	30	MLB	Baltimore Orioles	301	272	70	10	2	11	23	55	5	1	1	.257	.327	.430	.757	.173	.285	18	8	.332	112	+4	-0	-6	+1	+9	0.8
2025	31	MLB	Houston Astros	391	352	83	17	0	11	27	88	2	3	0	.236	.294	.378	.672	.142	.274	23	7	.293	83	-8	+1	+5	+1	+11	1.0
▸ 2026 Season (actual · ROS · total)
2026	32	MLB	St. Louis Cardinals	51	43	8	3	0	2	5	10	2	0	1	.186	.300	.395	.695	.209	.188	20	10	.304	91	-1	-0	-0	+0	+1	0.0
ROS	32	MLB	STL	114	102	25	5	0	4	9	25	2	1	1	.245	.319	.412	.730	.167	.288	22	8	.319	102	+0	-0	-0	+0	+3	0.3
TOT	32	MLB	STL	165	145	33	8	0	6	14	35	4	1	2	.228	.313	.407	.720	.179	.255	21	8	.314	99	-0	-1	-1	+1	+5	0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	33	MLB	STL	337	304	73	15	1	10	25	68	5	1	1	.240	.308	.395	.703	.155	.277	20	7	.313	98	-1	-0	-5	+1	+10	0.5
2028	34	MLB	STL	293	265	62	13	1	8	22	62	4	0	1	.234	.302	.381	.684	.147	.275	21	8	.306	92	-2	-0	-6	+1	+8	0.1
2029	35	MLB	STL	241	218	50	10	1	6	18	53	3	0	0	.229	.297	.367	.664	.138	.272	22	7	.298	86	-4	+0	-6	+1	+7	-0.2
2030	36	MLB	STL	184	167	39	8	1	5	13	43	2	0	0	.234	.297	.383	.680	.150	.269	23	7	.288	79	-4	+0	-7	+1	+5	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			6565	5876	1466	289	23	154	415	1403	165	73	61	.249	.317	.385	.702	.136	.301	21	6	.307	93	-52	-10	-33	+26	+186	12.0
/ 162G	—			650	582	145	29	2	15	41	139	16	7	6	.249	.316	.383	.699	.134	.300	21	6	.307	93	-5	-1	-3	+3	+18	1.2

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2011	17	ROK	DSL Rangers	152	122	26	5	0	1	15	20	9	2	1	.213	.342	.279	.621	.066	.243	13	10	.287	78	-4	+0	—	—	+4	0.1
2012	18	ROK	DSL Rangers	223	190	51	11	0	1	14	16	10	3	3	.268	.350	.342	.693	.074	.284	7	6	.308	94	-2	-1	—	—	+6	0.4
2014	20	AAA	Diablos Rojos del Mexico	264	233	61	12	3	6	17	46	11	4	6	.262	.341	.416	.757	.155	.304	17	6	.337	116	+5	-2	—	—	+7	1.1
2014	20	INTL	Aguilas de Mexicali	31	28	6	0	0	1	0	8	1	0	1	.214	.241	.321	.563	.107	.263	26	0	.237	39	-2	-0	—	—	+1	-0.2
2015	21	AAA	Diablos Rojos del Mexico	459	399	140	20	4	10	32	52	11	12	8	.351	.413	.496	.909	.145	.381	11	7	.391	157	+30	-1	—	—	+13	4.3
2015	21	INTL	Mexico	201	172	56	11	2	0	22	41	2	6	7	.326	.408	.413	.821	.087	.427	20	11	.364	136	+8	-2	—	—	+6	1.3
2016	22	AAA	Diablos Rojos del Mexico	165	136	41	9	1	0	14	26	14	6	2	.301	.421	.382	.803	.081	.369	16	8	.371	142	+8	+0	—	—	+5	1.3
2016	22	INTL	Caneros de los Mochis	145	127	36	7	1	3	12	19	3	0	1	.283	.359	.425	.784	.142	.311	13	8	.345	122	+4	-0	—	—	+4	0.8
2017	23	AAA	Diablos Rojos del Mexico	461	388	132	29	3	19	41	75	25	12	10	.340	.436	.577	1.013	.237	.380	16	9	.438	193	+49	-2	—	—	+13	6.1
2017	23	INTL	Caneros de los Mochis	259	212	68	13	2	1	27	32	14	6	9	.321	.431	.415	.846	.094	.374	12	10	.379	148	+14	-2	—	—	+7	1.9
2018	24	AAA	Memphis Redbirds	149	142	37	9	0	5	6	29	0	0	0	.261	.291	.430	.720	.169	.296	19	4	.315	99	-0	+0	—	—	+4	0.4
2018	24	AA	Springfield Cardinals	194	168	56	19	0	8	18	29	4	1	2	.333	.411	.589	1.000	.256	.361	15	9	.427	185	+19	-1	—	—	+5	2.4
2018	24	INTL	Caneros de los Mochis	217	173	55	7	0	10	34	35	3	5	2	.318	.438	.532	.970	.214	.344	16	16	.415	176	+19	+0	—	—	+6	2.5
2019	25	AAA	Memphis Redbirds	375	316	83	24	0	9	44	71	11	4	1	.263	.372	.424	.796	.161	.310	19	12	.356	131	+13	+0	—	—	+11	2.5
2019	25	A+	Palm Beach Cardinals	21	20	4	0	0	1	1	8	0	0	0	.200	.238	.350	.588	.150	.273	38	5	.262	58	-1	+0	—	—	+1	-0.0
2019	25	INTL	Caneros de los Mochis	123	108	22	2	0	4	7	23	3	0	0	.204	.271	.333	.605	.130	.214	19	6	.264	60	-6	+0	—	—	+3	-0.2
2020	26	MLB	Baltimore Orioles	27	25	9	2	0	1	2	6	0	0	0	.360	.407	.560	.967	.200	.444	22	7	.425	183	+3	+0	-3	+0	+1	0.1
2021	27	MLB	Baltimore Orioles	296	262	73	14	0	7	28	76	6	1	2	.279	.361	.412	.774	.134	.369	26	9	.350	126	+9	-1	-5	+4	+8	1.6
2021	27	AAA	Norfolk Tides	101	89	23	6	1	4	9	25	2	1	1	.258	.340	.483	.823	.225	.317	25	9	.359	133	+4	-0	—	—	+3	0.7
2022	28	MLB	Baltimore Orioles	445	403	100	17	1	16	30	98	5	1	0	.248	.308	.414	.723	.166	.287	22	7	.317	101	+0	+0	+6	+2	+13	2.2
2023	29	MLB	Baltimore Orioles	396	360	95	22	3	4	27	101	8	3	1	.264	.329	.375	.704	.111	.355	26	7	.318	101	+1	+0	-6	+1	+11	0.8
2024	30	MLB	Baltimore Orioles	301	272	69	9	2	11	23	55	5	1	1	.254	.323	.423	.746	.169	.280	18	8	.332	112	+4	-0	-6	+1	+9	0.8
2025	31	MLB	Houston Astros	391	352	85	17	0	11	27	88	2	3	0	.241	.299	.384	.683	.142	.281	23	7	.298	86	-6	+1	+5	+1	+11	1.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1856	1674	431	81	6	50	137	424	26	9	4	.257	.323	.403	.726	.145	.313	23	7	.322	105	+10	+0	-8	+10	+53	6.6

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Ramón Urías (OGILVIE)	32	45	50	50	50	.243/.310/.403	.160	.278	5	1	20%	7%	102	+0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕John Mayberry Jr. 2015 · MLB	31	44→48	51→55	44→50	48	.228/.295/.393	.165	.271	18	5	23%	8%	92	+1.2	.212/.280/.363	.151	.261	16	7	25%	8%	79	+0.3	.162/.216/.280	.119	.202	11	4	26%	7%	29	-0.8
✕Hector Luna 2012 · MLB	32	49	50→55	49→50	47	.251/.304/.406	.155	.284	18	8	19%	6%	99	+1.7	.241/.286/.380	.139	.280	16	8	20%	5%	85	+0.7	.245/.283/.378	.133	.283	15	3	19%	4%	80	+0.2
✕Michael McKenry 2016 · MLB	31	48→46	51→55	43→40	52	.243/.324/.407	.163	.293	18	7	23%	10%	108	+2.3	.212/.307/.346	.134	.289	13	6	29%	11%	85	+0.7	.181/.285/.291	.110	.257	10	2	31%	12%	61	-0.4
✕Kevan Smith 2021 · MLB	33	51→54	46→50	49→40	49	.254/.319/.385	.131	.287	14	6	17%	7%	100	+1.7	.223/.296/.338	.115	.295	11	8	26%	9%	79	+0.3	.163/.242/.193	.030	.240	0	0	29%	9%	2	-0.9
✕Chad Huffman 2017 · AAA	32	48→50	51→50	49→45	48	.241/.317/.411	.171	.286	18	12	22%	8%	107	+2.2	.226/.304/.379	.153	.282	16	6	25%	8%	93	+1.3	.212/.295/.356	.144	.269	16	1	26%	8%	80	+0.2
✕Anthony Recker 2017 · MLB	33	42→48	50	48→45	47	.214/.292/.365	.151	.283	18	5	30%	9%	85	+0.7	.212/.279/.357	.145	.289	16	5	31%	7%	77	+0.1	.194/.255/.340	.146	.266	16	1	32%	6%	59	-0.5
✕John Buck 2012 · MLB	32	47→53	52→55	41→30	47	.244/.308/.411	.166	.292	20	2	24%	7%	102	+1.9	.223/.301/.370	.147	.271	18	3	24%	9%	89	+1.0	.212/.292/.346	.133	.260	17	1	25%	9%	71	-0.1
✕Shane Spencer 2004 · MLB	32	50	48→50	44→45	52	.249/.323/.394	.145	.290	16	4	20%	9%	104	+2.0	.254/.321/.395	.141	.300	15	10	20%	8%	103	+1.9	.275/.328/.402	.127	.324	12	18	18%	6%	106	+0.7
✕Elias Díaz 2023 · MLB	32	44→54	49→50	42→45	49	.224/.284/.371	.147	.253	17	2	19%	7%	82	+0.5	.245/.299/.378	.133	.297	14	2	22%	7%	89	+1.0	.247/.301/.371	.124	.303	14	1	22%	6%	86	+0.5
✕Didi Gregorius 2022 · MLB	32	46→55	53→60	47→50	48	.237/.293/.408	.171	.246	21	6	15%	6%	95	+1.4	.215/.277/.344	.129	.238	13	6	16%	6%	72	-0.2	.186/.248/.281	.095	.212	6	3	15%	5%	41	-0.7
✕Shelley Duncan 2012 · MLB	32	43	55→60	45	49	.229/.301/.412	.184	.263	23	3	23%	8%	101	+1.8	.205/.276/.358	.153	.244	19	4	24%	8%	76	+0.1	.178/.249/.316	.138	.209	17	1	25%	8%	51	-1.0
✕Issmael Salas 2014 · AAA	32	49→51	49→50	47→50	46	.246/.297/.395	.149	.280	16	7	19%	6%	94	+1.3	.245/.288/.358	.113	.281	11	6	17%	5%	80	+0.4	.253/.300/.375	.122	.278	13	5	14%	5%	89	+0.6
✕Ricky Ledee 2006 · MLB	32	50→47	53→60	50	54	.254/.332/.434	.180	.296	20	5	21%	10%	118	+3.0	.233/.295/.379	.146	.281	16	5	22%	8%	89	+0.9	.215/.269/.337	.122	.265	15	2	25%	6%	65	-0.4
✕Taylor Motter 2022 · MLB	32	43→49	55→60	47→55	50	.226/.304/.410	.184	.274	23	5	26%	10%	101	+1.8	.224/.295/.408	.184	.278	24	7	28%	9%	97	+1.5	.202/.273/.371	.169	.252	23	8	29%	9%	76	+0.0
✕Trevor Plouffe 2018 · MLB	32	46→51	51→60	43→45	48	.236/.297/.396	.159	.274	20	3	22%	8%	94	+1.3	.219/.299/.386	.167	.279	21	6	28%	10%	93	+1.3	.186/.286/.374	.188	.233	23	5	30%	12%	84	+0.3
✕Jeff Bailey 2011 · MLB	32	47→49	49→55	49→45	49	.234/.312/.383	.149	.283	16	5	23%	8%	98	+1.6	.218/.292/.349	.131	.276	13	7	25%	8%	80	+0.4	.202/.281/.335	.132	.256	13	7	25%	8%	69	-0.3
✕Adonis García 2017 · MLB	32	54→56	48→50	46→50	42	.269/.301/.409	.140	.301	15	7	17%	4%	98	+1.6	.247/.289/.380	.133	.279	15	10	17%	4%	86	+0.8	.213/.260/.317	.104	.242	13	15	18%	4%	57	-0.5
●Scott Hairston 2012 · MLB	32	46→51	53→60	49→50	49	.239/.304/.416	.177	.268	22	11	20%	8%	102	+1.9	.241/.291/.458	.217	.270	28	10	23%	6%	108	+2.3	.240/.281/.487	.247	.256	34	10	22%	5%	111	+1.2
✕Nick Hundley 2016 · MLB	32	51→45	49→55	42→40	44	.256/.301/.400	.145	.307	16	6	23%	6%	96	+1.5	.254/.302/.421	.167	.308	18	4	23%	6%	102	+1.9	.246/.296/.423	.177	.302	20	1	25%	6%	93	+0.6
✕Andy Phillips 2009 · MLB	32	52→55	48→55	44→40	49	.258/.310/.398	.140	.288	16	5	17%	7%	99	+1.7	.254/.302/.386	.132	.285	15	6	16%	6%	93	+1.3	.268/.304/.379	.111	.300	13	2	15%	5%	90	+0.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)