Ramón Urías

3B St. Louis Cardinals

Age 33 R/R 5'9" / 185 lbs MLB HR -14%BB -5% Svc 6.145 · Ctrl thru 2027

Overview

MLBExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	30	MLBBAL	301	.254/.323/.423	11	1	109	0.5
2025	31	MLBHOU	391	.241/.299/.384	11	3	87	0.9
2026	32	AAASTL	52	.184/.231/.327	2	1	6	—	.140/.173/.220
2026	32	MLBSTL	100	.151/.263/.326	4	0	72	-0.1
2027PROJ	33	MLBSTL	167	.246/.313/.405	5	2	104	0.5
2028PROJ	34	MLBSTL	140	.236/.301/.383	4	0	94	-0.3

Last 3 seasons WAR 1.2 · Next 2 projected WAR 0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service6.145First FA2028Options2

2027Ext / FA-deal$3M

Skills · percentileStatcast 2024-2026

Barrel%52

xwOBA48

Avg EV45

Bat Spd40

Speed36

CompsWelington Castillo (age 32) · Kevan Smith (age 33) · Fernando Tatis (age 34)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 108104vR 92

AVG/OBP/SLG.246 / .313 / .405

PA167

HR5

K%22

BB%7

BABIP291

ISO146

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Splits · Contract

ToolsStatcast %ile · 2024-2026

CONTACT

xAVG

230.229

POWER

Barrel%

528.5

Avg EV

4588.8

Bat Spd

4070.3

SPEED

Sprint

3626.8

Platoon Splits2024-2026 · 730 PA

vs LHP

vs RHP

Edge

201

529

—

wRC+

118

◀◀L

wOBA

343

286

◀◀L

ISO

178

137

◀◀L

BABIP

326

254

◀◀L

22.9%

19.7%

▶R

BB%

6.5%

7.4%

▶R

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

Status FA

MLB Debut 2020

Service 6.145 yrs.days

Team Control Through 2027

First FA Year 2028

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$3M	+0.4	$2M	-$2M
Totals		$3M		$2M	-$2M

Options · projected decision
2027	MUTUAL OPT	$3.2M / $0.0M buyout	DECLINE
2028	MUTUAL OPT	$4.0M / $0.0M buyout	DECLINE

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 these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2011	17	ROK	DSL Rangers	—	152	122	26	5	0	1	15	20	9	2	1	213	342	279	621	66	243	13	10	287	28	—	—	—	—	—	—
2012	18	ROK	DSL Rangers	—	223	190	51	11	0	1	14	16	10	3	3	268	350	342	693	74	284	7	6	308	36	—	—	—	—	—	—
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	72	—	—	—	—	—	—
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	46	—	—	—	—	—	—
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	115	—	—	—	—	—	—
2015	21	INTL	Mexico	—	201	172	56	11	2	0	22	41	2	6	7	326	408	413	821	87	427	20	11	364	132	—	—	—	—	—	—
2016	22	AAA	Diablos Rojos del Mexico	—	165	136	41	9	1	0	14	26	14	6	2	301	421	382	803	81	369	16	8	371	105	—	—	—	—	—	—
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	120	—	—	—	—	—	—
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	127	—	—	—	—	—	—
2017	23	INTL	Caneros de los Mochis	—	259	212	68	13	2	1	27	32	14	6	9	321	431	415	846	94	374	12	10	379	143	—	—	—	—	—	—
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	64	—	—	—	—	—	—
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	124	—	—	—	—	—	—
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	167	—	—	—	—	—	—
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	80	—	—	—	—	—	—
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	4	—	—	—	—	—	—
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	65	—	—	—	—	—	—
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	168	+2	+0	-3	+0	+1	0.0
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	119	+7	-1	-5	+4	+6	1.2
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	81	—	—	—	—	—	—
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	97	-2	+0	+6	+2	+10	1.7
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	97	-1	+0	-6	+1	+9	0.3
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	109	+3	-0	-6	+1	+7	0.5
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	87	-6	+1	+5	+1	+8	0.9
2026	32	MLB	St. Louis Cardinals	—	100	86	13	3	0	4	9	18	4	0	1	151	263	326	588	174	138	18	9	268	72	-3	-0	-0	+1	+2	-0.1
2026	32	AAA	Memphis Redbirds	—	52	49	9	1	0	2	2	17	1	1	0	184	231	327	557	143	233	33	4	250	6	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1956	1760	444	84	6	54	146	442	30	9	5	252	320	399	719	147	304	23	7	320	102	+6	-0	-9	+11	+42	5.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	17	ROK MLE	DSL Rangers	—	152	126	20	3	0	1	11	24	9	2	1	159	274	206	480	48	172	16	7	209	28	—	—	—	—	—	—
2012	18	ROK MLE	DSL Rangers	—	223	194	38	7	0	1	10	20	10	3	3	196	271	247	518	52	199	9	4	221	36	—	—	—	—	—	—
2014	20	AAA MLE	Diablos Rojos del Mexico	—	264	238	54	9	3	4	12	59	11	4	6	227	295	340	635	113	280	22	5	275	72	—	—	—	—	—	—
2015	21	AAA MLE	Diablos Rojos del Mexico	—	459	413	132	16	4	7	19	69	11	12	8	320	366	429	794	109	349	15	4	338	115	—	—	—	—	—	—
2016	22	AAA MLE	Diablos Rojos del Mexico	—	165	140	38	7	1	0	10	35	14	6	2	271	378	336	714	64	349	21	6	323	105	—	—	—	—	—	—
2017	23	AAA MLE	Diablos Rojos del Mexico	—	461	400	114	22	3	13	29	93	25	12	10	285	370	453	823	168	332	20	6	356	127	—	—	—	—	—	—
2018	24	AAA MLE	Memphis Redbirds	—	149	143	33	8	0	4	5	38	0	0	0	231	257	371	627	140	277	26	3	263	64	—	—	—	—	—	—
2018	24	AA MLE	Springfield Cardinals	—	194	174	49	17	0	5	12	35	4	1	2	282	342	466	808	184	318	18	6	351	124	—	—	—	—	—	—
2019	25	AAA MLE	Memphis Redbirds	—	375	330	70	20	0	7	30	93	11	4	1	212	299	336	636	124	267	25	8	287	80	—	—	—	—	—	—
2019	25	A+ MLE	Palm Beach Cardinals	—	21	20	3	0	0	1	1	11	0	0	0	150	190	300	490	150	233	52	5	174	4	—	—	—	—	—	—
2020	26	MLB MLE	Baltimore Orioles	—	27	25	9	2	0	1	2	6	0	0	0	360	407	560	967	200	444	22	7	417	168	+2	+0	-3	+0	+1	0.0
2021	27	MLB MLE	Baltimore Orioles	—	296	262	71	14	0	6	28	76	6	1	2	271	355	393	748	122	369	26	9	345	119	+7	-1	-5	+4	+6	1.2
2021	27	AAA MLE	Norfolk Tides	—	101	92	21	5	1	3	6	31	2	1	1	228	290	402	692	174	297	31	6	288	81	—	—	—	—	—	—
2022	28	MLB MLE	Baltimore Orioles	—	445	404	98	16	1	16	29	98	5	1	0	243	301	406	707	163	287	22	7	312	97	-2	+0	+6	+2	+10	1.7
2023	29	MLB MLE	Baltimore Orioles	—	396	360	93	21	3	4	27	101	8	3	1	258	324	367	691	108	355	26	7	312	97	-1	+0	-6	+1	+9	0.3
2024	30	MLB MLE	Baltimore Orioles	—	301	272	68	8	2	11	23	55	5	1	1	250	320	415	735	165	280	18	8	329	109	+3	-0	-6	+1	+7	0.5
2025	31	MLB MLE	Houston Astros	—	391	352	84	16	0	11	27	88	2	3	0	239	297	378	674	139	281	23	7	296	87	-6	+1	+5	+1	+8	0.9
2026	32	MLB MLE	St. Louis Cardinals	—	100	86	13	3	0	4	9	18	4	0	1	151	263	326	588	174	138	18	9	274	72	-3	-0	-0	+1	+2	-0.1
2026	32	AAA MLE	Memphis Redbirds	—	52	50	7	1	0	1	1	20	1	1	0	140	173	220	393	80	199	38	2	177	6	—	—	—	—	—	—
2011	17	ROK MLE	DSL Rangers	—	152	126	20	3	0	1	11	24	9	2	1	159	274	206	480	48	184	16	7	209	28	—	—	—	—	—	—
2011	17	ROK RAW	DSL Rangers	—	152	122	26	5	0	1	15	20	9	2	1	213	342	279	621	66	243	13	10	287	28	—	—	—	—	—	—
2012	18	ROK MLE	DSL Rangers	—	223	194	38	7	0	1	10	20	10	3	3	196	271	247	518	52	210	9	4	221	36	—	—	—	—	—	—
2012	18	ROK RAW	DSL Rangers	—	223	190	51	11	0	1	14	16	10	3	3	268	350	342	693	74	284	7	6	308	36	—	—	—	—	—	—
2014	20	AAA MLE	2 teams	—	295	264	60	10	3	4	14	66	12	4	7	227	297	333	630	106	289	22	5	275	72	—	—	—	—	—	—
2014	20	AAA RAW	2 teams	—	295	261	67	12	3	7	17	54	12	4	7	257	331	406	737	149	300	18	6	326	72	—	—	—	—	—	—
2015	21	AAA MLE	2 teams	—	660	599	190	24	5	11	27	100	13	18	15	317	360	429	789	112	364	15	4	338	115	—	—	—	—	—	—
2015	21	AAA RAW	2 teams	—	660	571	196	31	6	10	54	93	13	18	15	343	412	471	883	128	394	14	8	382	115	—	—	—	—	—	—
2016	22	AAA MLE	2 teams	—	310	270	71	13	2	0	19	65	17	6	3	263	350	326	676	63	343	21	6	323	105	—	—	—	—	—	—
2016	22	AAA RAW	2 teams	—	310	263	77	16	2	3	26	45	17	6	3	293	392	403	795	110	341	15	8	359	105	—	—	—	—	—	—
2017	23	AAA MLE	2 teams	—	720	623	177	34	4	20	45	145	39	18	19	284	369	448	817	164	341	20	6	356	127	—	—	—	—	—	—
2017	23	AAA RAW	2 teams	—	720	600	200	42	5	20	68	107	39	18	19	333	434	520	954	187	378	15	9	417	127	—	—	—	—	—	—
2018	24	INTL MLE	3 teams	—	560	513	134	40	0	16	28	120	7	6	4	261	308	433	741	172	309	21	5	313	98	—	—	—	—	—	—
2018	24	INTL RAW	3 teams	—	560	483	148	35	0	23	58	93	7	6	4	306	389	522	910	215	336	17	10	393	98	—	—	—	—	—	—
2019	25	AAA MLE	3 teams	—	519	455	96	27	0	10	41	137	14	4	1	211	296	336	632	125	274	26	8	281	76	—	—	—	—	—	—
2019	25	AAA RAW	3 teams	—	519	444	109	26	0	14	52	102	14	4	1	245	343	399	742	153	284	20	10	331	76	—	—	—	—	—	—
2020	26	MLB MLE	Baltimore Orioles	—	27	25	9	2	0	1	2	6	0	0	0	360	407	560	967	200	444	22	7	417	168	+2	+0	-3	+0	+1	0.0
2020	26	MLB RAW	Baltimore Orioles	—	27	25	9	2	0	1	2	6	0	0	0	360	407	560	967	200	444	22	7	425	168	+2	+0	-3	+0	+1	0.0
2021	27	MLB MLE	2 teams	—	397	354	93	20	1	9	34	107	8	2	3	263	341	401	742	138	353	27	9	330	110	+5	-1	-5	+4	+9	1.2
2021	27	MLB RAW	2 teams	—	397	351	96	20	1	11	37	101	8	2	3	274	356	430	786	157	356	25	9	352	110	+5	-1	-5	+4	+9	1.2
2022	28	MLB MLE	Baltimore Orioles	—	445	404	98	16	1	16	29	98	5	1	0	243	301	406	707	163	279	22	7	312	97	-2	+0	+6	+2	+10	1.7
2022	28	MLB RAW	Baltimore Orioles	—	445	403	100	17	1	16	30	98	5	1	0	248	308	414	723	166	287	22	7	317	97	-2	+0	+6	+2	+10	1.7
2023	29	MLB MLE	Baltimore Orioles	—	396	360	93	21	3	4	27	101	8	3	1	258	324	367	691	108	348	26	7	312	97	-1	+0	-6	+1	+9	0.3
2023	29	MLB RAW	Baltimore Orioles	—	396	360	95	22	3	4	27	101	8	3	1	264	329	375	704	111	355	26	7	318	97	-1	+0	-6	+1	+9	0.3
2024	30	MLB MLE	Baltimore Orioles	—	301	272	68	8	2	11	23	55	5	1	1	250	320	415	735	165	275	18	8	329	109	+3	-0	-6	+1	+7	0.5
2024	30	MLB RAW	Baltimore Orioles	—	301	272	69	9	2	11	23	55	5	1	1	254	323	423	746	169	280	18	8	332	109	+3	-0	-6	+1	+7	0.5
2025	31	MLB MLE	Houston Astros	—	391	352	84	16	0	11	27	88	2	3	0	239	297	378	674	139	278	23	7	296	87	-6	+1	+5	+1	+8	0.9
2025	31	MLB RAW	Houston Astros	—	391	352	85	17	0	11	27	88	2	3	0	241	299	384	683	142	281	23	7	298	87	-6	+1	+5	+1	+8	0.9
2026	32	MLB MLE	2 teams	—	152	136	21	4	0	6	10	38	5	1	1	154	238	316	555	162	161	25	7	241	49	-9	-0	-0	+1	+3	-0.6
2026	32	MLB RAW	2 teams	—	152	135	22	4	0	6	11	35	5	1	1	163	252	326	578	163	168	23	7	262	49	-9	-0	-0	+1	+3	-0.6
2011	17	ROK MLE	DSL Rangers	—	152	131	20	3	0	1	11	24	9	2	1	153	274	198	472	46	172	16	7	209	28	—	—	—	—	—	—
2012	18	ROK MLE	DSL Rangers	—	223	201	38	7	0	1	10	20	10	3	3	189	271	239	510	50	199	9	4	221	36	—	—	—	—	—	—
2014	20	AAA MLE	2 teams	—	295	267	60	10	3	4	14	66	12	4	7	225	297	330	626	105	280	22	5	275	72	—	—	—	—	—	—
2015	21	AAA MLE	2 teams	—	660	615	190	24	5	11	27	100	13	18	15	309	360	418	778	109	349	15	4	338	115	—	—	—	—	—	—
2016	22	AAA MLE	2 teams	—	310	271	71	13	2	0	19	65	17	6	3	262	350	325	674	63	349	21	6	323	105	—	—	—	—	—	—
2017	23	AAA MLE	2 teams	—	720	630	177	34	4	20	45	145	39	18	19	281	369	443	812	162	332	20	6	356	127	—	—	—	—	—	—
2018	24	INTL MLE	3 teams	—	560	520	134	40	0	16	28	120	7	6	4	258	308	427	735	169	300	21	5	313	98	—	—	—	—	—	—
2019	25	AAA MLE	3 teams	—	519	459	96	27	0	10	41	137	14	4	1	209	296	333	629	124	265	26	8	281	76	—	—	—	—	—	—
2020	26	MLB MLE	Baltimore Orioles	—	27	25	9	2	0	1	2	6	0	0	0	360	407	560	967	200	444	22	7	417	168	—	—	—	—	—	—
2021	27	MLB MLE	2 teams	—	397	352	93	20	1	9	34	107	8	2	3	264	341	403	744	139	350	27	9	330	110	—	—	—	—	—	—
2022	28	MLB MLE	Baltimore Orioles	—	445	408	98	16	1	16	29	98	5	1	0	240	301	402	703	162	287	22	7	312	97	—	—	—	—	—	—
2023	29	MLB MLE	Baltimore Orioles	—	396	358	93	21	3	4	27	101	8	3	1	260	324	369	693	109	355	26	7	312	97	—	—	—	—	—	—
2024	30	MLB MLE	Baltimore Orioles	—	301	270	68	8	2	11	23	55	5	1	1	252	320	419	739	167	280	18	8	329	109	—	—	—	—	—	—
2025	31	MLB MLE	Houston Astros	—	391	359	84	16	0	11	27	88	2	3	0	234	297	370	667	136	281	23	7	296	87	—	—	—	—	—	—
2026	32	MLB MLE	2 teams	—	152	136	21	4	0	6	10	38	5	1	1	154	238	316	555	162	159	25	7	241	49	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	30	MLB MLE	Baltimore Orioles	—	301	270	68	8	2	11	23	55	5	1	1	252	320	419	739	167	280	18	8	329	109	—	—	—	—	—	—
2025	31	MLB MLE	Houston Astros	—	391	359	84	16	0	11	27	88	2	3	0	234	297	370	667	136	281	23	7	296	87	—	—	—	—	—	—
2026	32	MLB MLE	2 teams	—	152	136	21	4	0	6	10	38	5	1	1	154	238	316	555	162	159	25	7	241	49	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	33	MLB MLE	STL	100%	269	243	60	11	1	9	20	60	4	3	1	247	313	412	725	165	289	22	7	321	104	+1	+0	-1	+1	+6	0.4
▸ 2027 — real world (MLB)
2027	33	MLB CTX	STL	100%	167	151	36	7	0	5	12	37	2	2	0	246	313	405	718	159	291	22	7	319	104	+1	+0	-1	+1	+4	0.5
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	34	MLB MLE	STL	100%	140	127	30	5	0	5	10	32	2	0	0	236	302	390	691	153	280	23	7	308	94	-1	+0	-5	+0	+3	-0.3
2028	34	MLB CTX	STL	100%	140	127	29	5	0	4	10	32	2	0	0	236	301	383	684	148	281	23	7	305	94	-1	+0	-5	+0	+3	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2096	1887	473	89	6	58	156	474	32	9	5	251	319	396	715	146	302	23	7	319	96	+5	-0	-14	+11	+45	4.8
/ 162G	—	A+C		—	650	585	147	28	2	18	48	147	10	3	2	251	319	398	717	147	303	23	7	319	96	+2	-0	-4	+3	+14	1.5
Career	—	MLE		—	5855	5225	1319	257	21	132	369	1239	158	74	59	252	321	385	706	133	305	21	6	310	96	+6	+0	-15	+12	+49	5.3
/ 162G	—	MLE		—	650	580	147	29	2	15	41	138	18	8	7	253	323	388	711	134	306	21	6	310	96	+2	+0	-4	+3	+14	1.5

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 AAAMemphis Redbirds · 52 PAwOBA .243 → .177 (−66)K% 32.7% → 39.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.69%	÷1.000	×1.200	—	—	39.23%
BB% (unintentional) /PA	3.85%	÷1.000	×0.690	—	×0.952	2.53%
HBP% /PA	1.92%	—	×0.940	—	×0.952	1.72%
Singles /BIP	18.75%	÷1.000	×0.930	—	×0.952	16.60%
Doubles /BIP	3.12%	÷1.000	×0.830	—	×0.952	2.47%
Triples /BIP	0.00%	÷1.000	×0.970	—	×0.952	0.00%
Home runs /BIP	6.25%	÷1.000	×0.700	—	×0.952	4.16%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average).

Result: wOBA .243 → .177; ISO .143 → .090; BABIP .233 → .199. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2021 AAANorfolk Tides · 101 PAwOBA .349 → .288 (−61)K% 24.8% → 30.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.75%	÷0.982	×1.200	—	—	30.25%
BB% (unintentional) /PA	8.91%	÷1.030	×0.690	—	×1.003	5.98%
HBP% /PA	1.98%	—	×0.940	—	×1.003	1.87%
Singles /BIP	18.75%	÷0.981	×0.930	×1.050	×1.003	18.73%
Doubles /BIP	9.38%	÷0.977	×0.830	×1.050	×1.003	8.39%
Triples /BIP	1.56%	÷1.150	×0.920	×1.050	×1.003	1.32%
Home runs /BIP	6.25%	÷1.009	×0.700	—	×1.003	4.35%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 96, 2B 95, 3B 130, K 96, BB 106 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .349 → .288; ISO .225 → .169; BABIP .317 → .297. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2019 AAAMemphis Redbirds · 375 PAwOBA .349 → .287 (−62)K% 18.9% → 24.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.93%	÷0.986	×1.290	—	—	24.78%
BB% (unintentional) /PA	11.47%	÷1.035	×0.710	—	×1.033	8.13%
HBP% /PA	2.93%	—	×0.980	—	×1.033	2.97%
Singles /BIP	20.41%	÷1.014	×0.900	×0.950	×1.033	17.78%
Doubles /BIP	9.80%	÷0.917	×0.810	×0.950	×1.033	8.49%
Triples /BIP	0.00%	÷0.900	×0.810	×0.950	×1.033	0.00%
Home runs /BIP	3.67%	÷0.982	×0.780	—	×1.033	3.01%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 103, 2B 83, 3B 80, K 97, BB 107 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .349 → .287; ISO .161 → .133; BABIP .310 → .267. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2019 A+Palm Beach Cardinals · 21 PAwOBA .254 → .174 (−80)K% 38.1% → 53.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	38.10%	÷1.014	×1.420	—	—	53.35%
BB% (unintentional) /PA	4.76%	÷0.991	×0.750	—	×0.978	3.53%
HBP% /PA	0.00%	—	×0.930	—	×0.978	0.00%
Singles /BIP	25.00%	÷1.048	×0.920	—	×0.978	21.46%
Doubles /BIP	0.00%	÷1.047	×0.960	—	×0.978	0.00%
Triples /BIP	0.00%	÷0.900	×0.810	—	×0.978	0.00%
Home runs /BIP	8.33%	÷0.912	×0.880	—	×0.978	7.86%

Factors used: league row FSL. Park (home-season share, regressed): HR 82, 1B 110, 2B 109, 3B 80, K 103, BB 98 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).

Result: wOBA .254 → .174; ISO .150 → .107; BABIP .273 → .233. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2018 AASpringfield Cardinals · 194 PAwOBA .419 → .351 (−69)K% 14.9% → 18.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.95%	÷1.003	×1.220	—	—	18.19%
BB% (unintentional) /PA	9.28%	÷1.026	×0.700	—	×1.012	6.41%
HBP% /PA	2.06%	—	×0.870	—	×1.012	1.82%
Singles /BIP	20.86%	÷1.014	×0.920	×0.999	×1.012	19.14%
Doubles /BIP	13.67%	÷0.973	×0.840	×0.999	×1.012	11.93%
Triples /BIP	0.00%	÷0.900	×0.940	×0.999	×1.012	0.00%
Home runs /BIP	5.76%	÷1.215	×0.800	—	×1.012	3.83%

Factors used: league row TL. Park (home-season share, regressed): HR 143, 1B 103, 2B 95, 3B 80, K 101, BB 105 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .419 → .351; ISO .256 → .199; BABIP .361 → .318. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2018 AAAMemphis Redbirds · 149 PAwOBA .306 → .263 (−43)K% 19.5% → 25.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.46%	÷0.975	×1.290	—	—	25.75%
BB% (unintentional) /PA	4.03%	÷0.960	×0.710	—	×1.048	3.12%
HBP% /PA	0.00%	—	×0.980	—	×1.048	0.00%
Singles /BIP	20.35%	÷0.984	×0.900	×1.002	×1.048	19.54%
Doubles /BIP	7.96%	÷0.957	×0.810	×1.002	×1.048	7.08%
Triples /BIP	0.00%	÷0.984	×0.810	×1.002	×1.048	0.00%
Home runs /BIP	4.42%	÷0.909	×0.780	—	×1.048	3.98%

Factors used: league row PCL. Park (home-season share, regressed): HR 82, 1B 97, 2B 91, 3B 97, K 95, BB 92 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.002.

Result: wOBA .306 → .263; ISO .169 → .142; BABIP .296 → .277. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2017 AAADiablos Rojos del Mexico · 461 PAwOBA .428 → .356 (−73)K% 16.3% → 20.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.27%	÷0.967	×1.200	—	—	20.18%
BB% (unintentional) /PA	8.68%	÷1.003	×0.690	—	×1.050	6.27%
HBP% /PA	5.42%	—	×0.940	—	×1.050	5.35%
Singles /BIP	25.88%	÷1.036	×0.930	×0.994	×1.050	24.26%
Doubles /BIP	9.27%	÷1.143	×0.830	×0.994	×1.050	7.02%
Triples /BIP	0.96%	÷1.093	×0.920	×0.994	×1.050	0.84%
Home runs /BIP	6.07%	÷1.080	×0.700	—	×1.050	4.13%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 107, 2B 129, 3B 119, K 93, BB 101 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.

Result: wOBA .428 → .356; ISO .237 → .171; BABIP .380 → .332. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2016 AAADiablos Rojos del Mexico · 165 PAwOBA .365 → .323 (−42)K% 15.8% → 21.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.76%	÷0.894	×1.200	—	—	21.15%
BB% (unintentional) /PA	8.48%	÷1.001	×0.690	—	×1.050	6.14%
HBP% /PA	8.48%	—	×0.940	—	×1.050	8.37%
Singles /BIP	28.18%	÷1.027	×0.930	×1.050	×1.050	28.13%
Doubles /BIP	8.18%	÷1.188	×0.830	×1.050	×1.050	6.30%
Triples /BIP	0.91%	÷1.150	×0.920	×1.050	×1.050	0.80%
Home runs /BIP	0.00%	÷1.183	×0.700	—	×1.050	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 137, 1B 105, 2B 138, 3B 130, K 79, BB 100 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .365 → .323; ISO .081 → .062; BABIP .369 → .349. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Lonnie Chisenhalllast yr '18 career totals — 8 seasons, 2,360 PA	3.6	2,360	64	20	268	320	427	-3	-9	8.0	7.9
/162	664	18	6	-0.8	-2.6	2.3	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	3.4	2,236	63	11	250	314	398	+8	-6	7.0	7.0
/162	664	19	3	+2.4	-1.9	2.1	pk7: 7
#2Brendan Rodgerslast yr '25 career totals — 6 seasons, 1,936 PA	2.9	1,936	47	1	263	315	404	+7	-1	6.5	6.5
/162	664	16	0	+2.4	-0.2	2.2	pk7: 6
#3Mike Blowers'89-'99 * career totals — 9 seasons, 2,585 PA	3.9	2,585	78	7	248*	318*	415*	-1	-21	5.6	6.4
/162	664	20	2	-0.3	-5.3	1.4	pk7: 7
#4Gavin Luxlast yr '25 career totals — 6 seasons, 1,993 PA	3.0	1,993	33	20	256	332	381	+3	-8	5.8	5.8
/162	664	11	7	+0.9	-2.6	1.9	pk7: 6
#5Russ Davis'94-'01 * career totals — 7 seasons, 2,176 PA	3.3	2,176	84	16	244*	296*	428*	+6	-9	5.0	5.2
/162	664	26	5	+1.9	-2.8	1.5	pk7: 6
#6Tyler Houston'96-'03 * career totals — 8 seasons, 1,946 PA	2.9	1,946	63	10	254*	298*	410*	+10	-14	3.3	3.5
/162	664	21	3	+3.4	-4.6	1.1	pk7: 4

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)	33	—	—	—	—	245/311/408	164	289	6	2	22%	7%	104	+0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Welington Castillo 2019 · MLB	32	50→56	52→55	48→30	42	256/303/415	159	317	22	4	26%	6%	101	+1.4	229/290/401	172	290	22	5	28%	7%	93	+0.8	205/266/409	204	245	28	0	29%	6%	88	+0.2
✕Kevan Smith 2021 · MLB	33	51→54	47→50	49→40	50	252/320/389	137	288	14	7	18%	8%	101	+1.4	221/287/336	115	291	11	8	26%	8%	77	-0.3	162/217/192	30	235	0	0	29%	7%	17	-0.8
✕Fernando Tatis 2009 · MLB	34	47→52	52→55	47→45	48	241/305/410	169	278	20	7	21%	8%	101	+1.4	250/310/410	160	287	17	7	19%	7%	103	+1.5	273/327/425	151	304	13	6	14%	5%	113	+1.4
✕Nick Hundley 2017 · MLB	33	51→45	49→55	42→40	46	257/304/407	150	304	16	5	21%	6%	99	+1.3	241/284/407	166	304	19	4	26%	6%	93	+0.8	229/267/395	166	295	19	2	29%	5%	84	+0.1
✕Elias Díaz 2024 · MLB	33	48→58	48→50	44→45	47	242/296/382	140	286	16	2	21%	7%	91	+0.6	241/291/373	132	295	15	2	23%	6%	87	+0.4	232/281/361	129	284	15	0	23%	5%	81	-0.0
✕Tim Beckham 2022 · MLB	32	44→54	54→55	45→50	41	231/279/407	176	294	22	6	29%	6%	91	+0.6	253/306/387	134	334	16	9	28%	6%	96	+1.0	302/351/401	100	411	13	6	28%	5%	109	+0.6
✕John Buck 2013 · MLB	33	44→53	52→60	42→30	50	228/303/392	164	271	20	2	24%	9%	97	+1.1	226/293/363	137	276	17	4	24%	7%	86	+0.3	224/284/345	121	273	17	2	24%	6%	79	-0.1
✕Curt Casali 2022 · MLB	33	45	51→50	49→30	51	229/317/393	164	294	19	5	28%	10%	102	+1.5	218/314/337	119	290	12	4	27%	11%	88	+0.5	207/312/292	85	276	8	0	25%	11%	77	-0.1
✕Adam Jones 2019 · MLB	33	54→56	50→60	47→50	44	273/309/422	150	301	18	5	16%	4%	105	+1.7	258/307/410	152	293	18	6	18%	6%	101	+1.4	252/304/404	152	286	19	2	19%	5%	100	+1.2
✕Darnell McDonald 2012 · MLB	33	49→55	51→55	49→55	47	250/307/418	168	296	18	12	22%	7%	103	+1.6	210/272/327	117	256	12	10	22%	7%	70	-0.9	186/247/276	90	230	8	9	22%	7%	47	-1.3
✕Zack Cozart 2019 · MLB	33	50→56	53→60	52→50	55	256/333/443	186	279	19	4	16%	9%	118	+2.7	219/290/349	130	248	13	6	17%	8%	82	-0.0	121/178/142	21	144	0	0	15%	5%	-8	-1.2
✕Wilson Ramos 2021 · MLB	33	55→61	49→55	47→30	50	277/334/425	148	307	18	3	16%	7%	115	+2.4	243/293/411	168	270	22	5	19%	6%	97	+1.1	223/256/396	173	235	27	0	19%	4%	79	-0.1
✕Chris Young 2017 · MLB	33	48	54→60	46→55	49	247/316/434	186	285	21	9	22%	8%	111	+2.1	231/310/402	171	275	20	9	23%	9%	101	+1.4	207/296/370	163	242	19	7	23%	10%	89	+0.2
✕Miguel Olivo 2012 · MLB	34	45→50	54→60	45→50	38	236/272/409	172	291	23	8	28%	5%	88	+0.5	234/266/399	165	293	22	6	28%	4%	84	+0.1	230/263/370	140	302	17	9	29%	4%	74	-0.3
✕Ryan Lavarnway 2021 · MLB	33	44→46	49→55	47→30	47	225/294/373	147	269	17	5	23%	8%	88	+0.5	211/275/352	141	276	17	4	29%	7%	76	-0.4	192/260/324	131	248	16	0	29%	7%	62	-0.7
✕Michael McKenry 2016 · MLB	31	48→47	50→55	43→40	53	241/325/403	161	293	17	8	23%	10%	107	+1.8	206/298/335	129	283	12	6	29%	11%	82	-0.0	175/275/285	109	248	10	2	31%	11%	60	-0.7
✕Dioner Navarro 2016 · MLB	32	52→61	49→50	47→45	51	262/315/401	140	284	17	4	15%	7%	102	+1.5	227/287/357	130	268	14	5	20%	7%	82	-0.0	195/261/292	97	238	9	1	21%	8%	57	-0.7
✕Yadiel Hernandez 2022 · MLB	34	49→54	53→55	46→45	46	254/308/422	168	300	23	7	24%	7%	105	+1.7	249/297/389	140	311	16	7	24%	6%	93	+0.8	266/311/405	139	325	16	4	23%	6%	103	+0.8
✕Carlos Pérez 2024 · MLB	33	38→48	53→55	46→45	46	209/273/378	169	228	23	2	21%	7%	82	+0.0	209/273/380	171	232	21	3	21%	7%	82	+0.0	196/260/370	174	213	22	1	21%	7%	73	-0.4
●Robinson Chirinos 2016 · MLB	32	43→46	52→60	44→50	49	225/298/392	166	260	20	3	22%	8%	95	+0.9	234/328/442	208	282	26	4	26%	10%	118	+2.6	229/342/435	206	294	26	2	29%	11%	120	+1.8

Ramón Urías

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps