José Fermín — OGILVIE

José Fermín2B St. Louis Cardinals

Age 27 R/R 5'10" / 198 lbs MLB HR -7%K -4% Svc 1.436 · Ctrl thru 2030 peak 1.4 · 2027

wRC+†vL -5292vR 116

AVG/OBP/SLG.227 / .318 / .354

PA346

HR7

SB14

K%12

BB%9

MLB%100%

Scouting · now → future

HIT

60→60

PWR

50→50

SPD

60→60

EYE

57↗60

trajectory · 10 yrs

1.0peak

2026

Contract

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

Status Pre-Arb

MLB Debut 2023

Service 1.436 yrs.days

Team Control Through 2030

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Pre-Arb	$0.8M	+1.1	$9M	+$8M
2027	Pre-Arb	$0.8M	+1.4	$12M	+$11M
2028	Arb-1	$2M	+1.2	$10M	+$8M
2029	Arb-2	$4M	+1.0	$9M	+$5M
2030	Arb-3	$4M	+0.8	$4M	+$0.0M (cut)
Totals		$11M		$43M	+$31M

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
2016	17	ROK	DSL Indians	66	61	10	3	1	0	4	16	0	2	2	.164	.215	.246	.461	.082	.217	24	6	.211	20	-6	-0	+0	+0	+2	-0.4
2017	18	ROK	AZL Indians	182	168	29	8	1	1	3	27	7	5	2	.173	.219	.250	.469	.077	.197	15	2	.194	7	-19	+0	+0	+1	+5	-1.3
2019	20	A	Lake County Captains	456	409	101	9	2	5	27	50	11	28	9	.247	.311	.315	.626	.068	.269	11	6	.276	69	-16	+2	+0	+2	+13	0.1
2021	22	AA	Akron RubberDucks	336	303	68	12	2	6	16	50	10	4	4	.224	.286	.337	.622	.112	.248	15	5	.268	63	-14	-1	+0	+1	+10	-0.4
2022	23	AAA	Columbus Clippers	330	281	56	9	0	5	31	53	9	9	4	.199	.299	.285	.584	.085	.226	16	9	.263	59	-15	+0	+0	+1	+9	-0.4
2023	24	AAA	5 teams	236	203	41	7	1	6	23	24	6	7	1	.202	.302	.335	.637	.133	.200	10	10	.281	73	-7	+1	+1	+1	+7	0.2
2024	25	AAA	3 teams	335	292	71	13	1	7	32	40	7	20	3	.243	.332	.366	.699	.123	.259	12	10	.313	97	-1	+3	-2	+1	+9	1.1
2025	26	AAA	2 teams	363	310	81	23	0	8	40	42	10	22	7	.261	.364	.413	.777	.152	.280	12	11	.346	123	+9	+2	+2	+1	+10	2.5
▸ 2026 Season (actual · ROS · total)
2026	27	MLB	St. Louis Cardinals	29	25	5	1	0	1	3	7	0	0	0	.200	.286	.360	.646	.160	.222	24	10	.279	71	-1	+0	-0	-0	+1	-0.1
ROS	27	MLB	STL	317	277	64	14	1	7	30	37	7	14	3	.231	.322	.365	.686	.134	.241	12	9	.307	93	-2	+2	+2	+1	+9	1.2
TOT	27	MLB	STL	346	302	69	15	1	8	33	44	7	14	3	.228	.319	.364	.683	.136	.241	13	10	.305	92	-3	+2	+2	+1	+10	1.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	28	MLB	STL	370	324	74	16	1	8	35	43	8	16	3	.228	.319	.358	.677	.130	.241	12	9	.306	93	-3	+2	+2	+1	+10	1.3
2028	29	MLB	STL	373	326	73	16	1	7	36	45	8	15	3	.224	.316	.344	.660	.120	.240	12	10	.304	91	-4	+2	+1	+1	+11	1.1
2029	30	MLB	STL	375	328	73	16	1	7	36	46	8	15	3	.223	.315	.341	.656	.119	.239	12	10	.302	89	-5	+2	+1	+1	+11	1.0
2030	31	MLB	STL	360	315	70	15	1	7	34	46	8	12	2	.222	.314	.343	.657	.121	.238	13	9	.298	86	-6	+2	-0	+1	+10	0.7
2031	32	MLB	STL	341	297	65	14	1	6	33	45	8	10	2	.219	.314	.333	.647	.114	.237	13	10	.293	82	-7	+1	-1	+1	+10	0.4
2032	33	MLB	STL	311	271	59	13	1	5	30	43	7	8	1	.218	.312	.328	.640	.111	.235	14	10	.287	78	-8	+1	-2	+1	+9	0.1
2033	34	MLB	STL	268	235	48	10	0	4	25	40	6	6	1	.204	.297	.298	.595	.094	.233	15	9	.281	73	-8	+1	-3	+1	+8	-0.2
▸ Career Totals (MLE all levels + projections)
Career	—			5019	4400	983	198	15	89	435	647	120	193	50	.223	.310	.336	.646	.113	.242	13	9	.290	80	-111	+19	+0	+18	+142	7.0
/ 162G	—			650	570	128	26	2	12	56	84	16	25	6	.225	.312	.340	.652	.116	.243	13	9	.290	80	-14	+3	+0	+2	+18	0.9

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
2016	17	ROK	DSL Indians	66	58	13	4	2	0	7	11	0	2	2	.224	.308	.362	.670	.138	.271	17	11	.297	85	-1	-0	—	—	+2	0.0
2017	18	ROK	AZL Indians	182	166	38	11	1	1	5	19	7	5	2	.229	.281	.325	.606	.096	.250	10	3	.270	65	-7	+0	—	—	+5	-0.2
2019	20	A	Lake County Captains	456	393	115	12	2	6	42	40	11	28	9	.293	.376	.379	.755	.087	.311	9	9	.339	117	+9	+2	—	—	+13	2.4
2021	22	AA	Akron RubberDucks	336	295	76	15	2	6	23	38	10	4	4	.258	.331	.383	.714	.125	.276	11	7	.316	100	+0	-1	—	—	+10	0.9
2022	23	AAA	Columbus Clippers	330	270	58	11	0	6	42	46	9	9	4	.215	.340	.322	.662	.107	.235	14	13	.302	89	-4	+0	—	—	+9	0.6
2023	24	MLB	St. Louis Cardinals	61	51	12	1	0	0	6	8	2	0	1	.235	.339	.255	.594	.020	.279	13	10	.277	70	-2	-0	+1	+1	+2	0.1
2023	24	AAA	Memphis Redbirds	81	66	15	3	1	4	12	5	2	1	0	.227	.362	.485	.847	.258	.190	6	15	.370	141	+4	+0	—	—	+2	0.6
2023	24	A	Palm Beach Cardinals	23	20	4	1	0	1	3	0	0	1	0	.200	.304	.400	.704	.200	.158	0	13	.316	100	-0	+0	—	—	+1	0.1
2023	24	ROK	FCL Cardinals	19	17	3	1	0	0	2	3	0	1	0	.176	.263	.235	.498	.059	.214	16	11	.236	39	-1	+0	—	—	+1	-0.1
2023	24	INTL	Gigantes del Cibao	52	37	16	5	0	0	12	2	2	4	0	.432	.588	.568	1.156	.135	.444	4	23	.504	244	+8	+1	—	—	+1	1.1
2024	25	MLB	St. Louis Cardinals	79	71	11	1	1	0	7	11	1	2	1	.155	.241	.197	.438	.042	.183	14	9	.211	20	-7	+0	-2	+1	+2	-0.6
2024	25	AAA	Memphis Redbirds	240	196	61	13	0	8	34	22	6	18	2	.311	.428	.500	.928	.189	.315	9	14	.407	170	+19	+3	—	—	+7	2.9
2024	25	INTL	Gigantes del Cibao	16	15	4	2	0	0	1	2	0	0	0	.267	.312	.400	.713	.133	.308	12	6	.317	101	+0	+0	—	—	+0	0.0
2025	26	MLB	St. Louis Cardinals	70	60	17	5	0	1	8	10	1	2	2	.283	.377	.417	.793	.133	.327	14	11	.354	129	+2	-0	+2	+1	+2	0.7
2025	26	AAA	Memphis Redbirds	293	237	71	23	0	7	45	25	9	20	5	.300	.430	.485	.915	.186	.311	9	15	.407	170	+23	+2	—	—	+8	3.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			210	182	40	7	1	1	21	29	4	4	4	.220	.314	.286	.600	.066	.257	14	10	.278	71	-7	-1	+0	+3	+6	0.2

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
José Fermín (OGILVIE)	27	60	50	60	60	.227/.318/.354	.127	.241	7	15	12%	9%	93	+0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Jerry Hairston Jr. 2003 · MLB	27	51→55	42→50	54→55	53	.246/.315/.358	.112	.267	9	25	12%	8%	92	+1.2	.261/.333/.367	.106	.287	7	23	11%	8%	101	+1.8	.263/.322/.403	.140	.282	14	15	12%	7%	102	+1.4
✕Pokey Reese 2001 · MLB	28	51→55	46→45	60→55	52	.250/.315/.384	.135	.277	13	25	15%	8%	98	+1.6	.240/.304/.354	.114	.280	10	24	17%	8%	85	+0.7	.235/.299/.330	.095	.280	8	24	18%	8%	71	-0.2
●Eduardo Núñez 2014 · MLB	27	51→61	41→50	58→60	48	.245/.291/.351	.106	.278	7	29	15%	6%	79	+0.3	.255/.294/.383	.128	.289	12	25	16%	5%	89	+0.9	.287/.325/.437	.149	.311	16	33	13%	5%	112	+1.9
✕Shane Robinson 2012 · MLB	27	49→59	44→45	53→55	48	.238/.289/.357	.120	.258	11	17	13%	6%	80	+0.4	.245/.309/.351	.106	.281	9	14	16%	8%	86	+0.8	.240/.311/.318	.078	.280	6	11	15%	9%	75	-0.0
✕Miguel Cairo 2002 · MLB	28	54→58	40→45	54→55	55	.257/.318/.353	.096	.278	7	24	11%	8%	90	+1.0	.251/.309/.366	.115	.279	9	12	13%	6%	91	+1.1	.256/.311/.373	.117	.284	9	11	13%	5%	89	+0.5
✕Desmond Jennings 2014 · MLB	27	51→59	49→50	58→60	53	.253/.329/.406	.154	.299	15	25	20%	9%	109	+2.4	.243/.316/.384	.141	.292	13	17	20%	9%	98	+1.6	.233/.306/.368	.136	.280	13	15	21%	9%	86	+0.4
✕Manuel Margot 2022 · MLB	27	51→53	46→50	51→60	52	.250/.311/.380	.131	.283	13	22	17%	8%	95	+1.4	.257/.312/.370	.113	.301	9	14	17%	7%	92	+1.2	.255/.307/.357	.102	.301	7	12	17%	6%	83	+0.3
●Cameron Maybin 2014 · MLB	27	50→59	45→50	58→55	50	.244/.307/.369	.125	.291	12	29	20%	8%	91	+1.1	.246/.308/.356	.110	.297	10	19	19%	8%	88	+0.9	.257/.331/.375	.118	.309	11	30	19%	9%	99	+1.4
✕Óscar Mercado 2022 · MLB	27	45→53	48→55	55→60	48	.225/.290/.373	.147	.260	15	20	20%	7%	85	+0.7	.223/.285/.376	.153	.261	16	23	21%	7%	84	+0.6	.217/.277/.380	.163	.251	19	28	22%	6%	79	+0.2
✕Damian Jackson 2001 · MLB	27	53→54	43→45	58→55	56	.250/.335/.375	.125	.307	9	26	20%	11%	104	+2.0	.246/.319/.355	.109	.311	6	27	21%	9%	92	+1.2	.255/.323/.351	.095	.294	7	32	15%	8%	90	+0.5
●Archie Gilbert 2010 · AA	27	52→56	40→45	53→55	51	.246/.311/.343	.097	.278	7	24	14%	7%	85	+0.7	.241/.300/.357	.116	.272	11	25	16%	6%	85	+0.7	.236/.289/.356	.119	.261	13	28	15%	5%	76	+0.0
✕Luis Rivas 2006 · MLB	26	50→55	45→50	56→55	47	.244/.285/.372	.128	.267	11	18	14%	5%	82	+0.5	.228/.271/.333	.105	.260	10	12	16%	5%	66	-0.6	.223/.278/.325	.102	.251	9	11	15%	6%	64	-0.4
✕Kevin Thompson 2007 · MLB	27	50→53	46→50	56→60	49	.244/.311/.388	.144	.294	12	25	21%	8%	98	+1.6	.236/.300/.359	.123	.292	10	28	21%	8%	85	+0.7	.238/.305/.351	.112	.298	8	38	21%	8%	81	+0.2
✕Jason Bourgeois 2009 · AAA	27	53→58	42→45	57→65	45	.257/.297/.364	.108	.293	8	26	16%	5%	85	+0.7	.264/.302/.350	.086	.299	6	36	13%	5%	82	+0.5	.276/.314/.348	.071	.310	4	47	12%	5%	83	+0.4
✕Carlos Febles 2003 · MLB	27	51→52	42→40	52→55	54	.243/.320/.347	.104	.277	9	19	16%	9%	91	+1.1	.236/.308/.328	.092	.274	8	18	16%	8%	81	+0.4	.229/.292/.254	.025	.269	0	22	14%	6%	53	-0.6
✕Tyler Bortnick 2014 · AAA	27	51→61	39→45	60→55	51	.238/.318/.337	.099	.295	5	25	20%	9%	87	+0.8	.230/.295/.319	.089	.297	6	19	23%	8%	72	-0.2	.248/.305/.345	.097	.308	8	16	21%	7%	79	+0.1
✕Endy Chavez 2005 · MLB	27	55→65	41→45	57→55	50	.259/.301/.364	.105	.276	7	25	10%	6%	85	+0.7	.261/.304/.364	.103	.285	6	21	10%	6%	87	+0.8	.281/.323/.374	.093	.307	4	16	9%	6%	91	+0.5
✕Jake Elmore 2014 · MLB	27	54→62	39→40	52→55	53	.255/.325/.347	.092	.299	5	20	16%	8%	92	+1.2	.242/.315/.313	.071	.288	4	17	16%	9%	79	+0.3	.242/.306/.310	.068	.294	3	10	17%	7%	73	-0.1
✕Chris Getz 2011 · MLB	27	53→56	39→40	57→60	51	.251/.310/.341	.090	.281	6	26	13%	7%	85	+0.7	.239/.294/.301	.062	.268	3	27	11%	7%	66	-0.6	.241/.288/.304	.063	.269	2	31	10%	6%	60	-0.4
✕Jose Aguilar 2017 · AAA	27	53→60	41→45	52→55	48	.256/.313/.359	.103	.289	8	18	14%	6%	90	+1.0	.250/.306/.359	.109	.296	10	20	18%	6%	88	+0.9	.262/.323/.376	.113	.319	9	23	19%	6%	95	+0.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)