Hernán Pérez — OGILVIE

Hernán PérezSS Caribes de Anzoategui

Age 35 R/R 6'0" / 213 lbs INTL HR +9%K -4% Svc 13.000 · Ctrl thru 2026 peak 0.4 · 2026

wRC+†80

AVG/OBP/SLG.228 / .281 / .368

PA288

HR8

SB6

K%26

BB%6

MLB%0%

Scouting · now → future

HIT

55→55

PWR

40→40

SPD

50→50

FLD

55→55

EYE

39↗40

trajectory · 10 yrs

0.3peak

2026

Contract

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

Status FA

MLB Debut 2013

Service 13.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$3M	+0.4	$2M	-$1M
Totals		$3M		$2M	-$1M

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
2008	17	ROK	VSL Tigers	291	271	49	6	3	1	10	50	4	4	4	.181	.221	.236	.457	.055	.215	17	3	.196	8	-30	-1	+0	+1	+8	-2.2
2009	18	ROK	3 teams	208	199	37	9	2	1	4	60	1	4	1	.186	.206	.266	.472	.080	.259	29	2	.203	14	-20	+0	+0	+1	+6	-1.3
2010	19	A	West Michigan Whitecaps	507	479	90	11	0	4	19	128	2	5	1	.188	.222	.236	.458	.048	.244	25	4	.202	13	-50	+1	+0	+2	+14	-3.4
2011	20	A	2 teams	635	582	128	22	2	8	27	128	6	25	6	.220	.262	.306	.568	.086	.264	20	4	.247	47	-38	+3	+0	+2	+18	-1.5
2012	21	A+	2 teams	573	531	112	12	2	5	22	117	3	30	5	.211	.246	.269	.516	.058	.258	20	4	.224	30	-46	+4	+0	+2	+16	-2.4
2013	22	AA	4 teams	659	622	167	34	4	4	17	105	3	34	9	.268	.291	.355	.647	.087	.315	16	3	.277	70	-22	+3	+1	+2	+19	0.3
2014	23	AAA	2 teams	647	608	154	28	7	6	25	83	2	21	6	.253	.285	.352	.637	.099	.283	13	4	.276	69	-22	+2	+0	+7	+18	0.5
2015	24	MLB	2 teams	541	520	126	29	4	2	10	117	2	16	4	.242	.259	.325	.584	.083	.308	22	2	.245	46	-33	+2	+3	+2	+15	-1.1
2016	25	MLB	3 teams	674	635	168	28	2	18	27	145	1	43	8	.265	.296	.400	.696	.135	.314	22	4	.303	90	-8	+5	+2	+2	+19	2.1
2017	26	MLB	2 teams	479	451	120	21	4	14	21	83	0	15	4	.266	.299	.424	.722	.157	.295	17	4	.308	94	-4	+1	+4	-5	+14	1.1
2018	27	MLB	Milwaukee Brewers	334	316	79	11	1	8	17	71	0	11	3	.250	.288	.367	.655	.117	.298	21	5	.291	81	-7	+1	+2	+1	+9	0.7
2019	28	MLB	2 teams	367	344	78	18	0	12	20	96	0	11	1	.227	.269	.384	.653	.157	.278	26	5	.279	72	-12	+2	-1	+1	+10	0.1
2020	29	INTL	Tigres de Aragua	122	102	41	8	0	5	20	22	0	8	0	.402	.500	.627	1.127	.225	.480	18	16	—	—	—	—	+0	+0	—	—
2021	30	INTL	3 teams	259	240	64	11	0	6	15	67	1	5	2	.267	.312	.388	.700	.121	.341	26	6	.303	90	-3	+0	-0	+1	+7	0.6
2022	31	AAA	2 teams	597	557	128	21	1	13	26	150	4	27	5	.230	.269	.341	.610	.111	.285	25	4	.266	62	-26	+3	+0	+2	+17	-0.3
2023	32	AAA	3 teams	468	421	105	10	4	15	32	127	5	26	8	.249	.310	.399	.709	.150	.311	27	7	.304	91	-5	+2	+0	+2	+13	1.3
2024	33	AAA	2 teams	401	369	68	13	2	11	20	106	3	13	1	.184	.232	.320	.552	.136	.222	26	5	.237	40	-27	+2	+0	+1	+11	-1.3
2025	34	INTL	Caribes de Anzoategui	263	227	71	9	1	9	29	53	0	10	2	.313	.391	.480	.871	.167	.365	20	11	—	—	—	—	+0	+1	—	—
▸ 2026 Season
2026	35	MLB	CIN	288	266	62	11	2	8	18	75	2	6	2	.233	.287	.380	.666	.147	.287	26	6	.290	80	-6	+0	+1	+1	+8	0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	36	MLB 7%	CIN	219	203	45	8	1	5	13	59	1	4	1	.222	.272	.345	.617	.123	.284	27	6	.281	73	-7	+0	-6	+1	+6	-0.5
2028	37	MLB 18%	CIN	157	146	32	5	1	4	9	44	1	3	1	.219	.269	.349	.619	.130	.280	28	6	.271	66	-6	+0	-7	+1	+4	-0.8
▸ Career Totals (MLE all levels + projections)
Career	—			8689	8089	1924	325	43	159	401	1886	41	321	74	.238	.277	.348	.625	.110	.288	22	5	.253	51	-477	+35	-1	+29	+246	-17.1
/ 162G	—			650	605	144	24	3	12	30	141	3	24	6	.238	.277	.347	.625	.109	.288	22	5	.253	51	-36	+2	-0	+2	+18	-1.3

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
2008	17	ROK	VSL Tigers	291	265	60	8	4	1	16	35	4	4	4	.226	.281	.298	.579	.072	.254	12	5	.259	57	-14	-1	—	—	+8	-0.7
2009	18	A+	Lakeland Flying Tigers	77	72	19	4	1	0	3	21	0	0	0	.264	.293	.347	.641	.083	.365	27	4	.279	72	-2	+0	—	—	+2	-0.0
2009	18	A	West Michigan Whitecaps	45	44	10	0	1	0	0	8	0	2	1	.227	.227	.273	.500	.045	.278	18	0	.217	24	-4	+0	—	—	+1	-0.3
2009	18	ROK	GCL Tigers	86	81	18	9	1	1	3	14	1	2	0	.222	.259	.395	.654	.173	.258	16	3	.284	75	-2	+0	—	—	+2	0.0
2010	19	A	West Michigan Whitecaps	507	473	111	15	0	5	25	98	2	5	1	.235	.276	.298	.574	.063	.283	19	5	.258	56	-25	+1	—	—	+14	-1.1
2011	20	A	West Michigan Whitecaps	566	503	130	23	3	8	38	87	6	23	6	.258	.318	.364	.682	.105	.293	15	7	.298	86	-9	+2	—	—	+16	1.0
2011	20	INTL	Leones del Caracas	69	66	20	6	0	0	2	9	0	2	0	.303	.324	.394	.717	.091	.345	13	3	.315	100	-0	+0	—	—	+2	0.2
2012	21	A+	Lakeland Flying Tigers	475	437	113	11	4	5	24	69	2	27	4	.259	.300	.336	.637	.078	.293	15	5	.281	73	-14	+4	—	—	+13	0.3
2012	21	INTL	Leones del Caracas	98	90	20	2	1	0	2	11	1	3	1	.222	.247	.267	.514	.044	.253	11	2	.221	28	-8	+0	—	—	+3	-0.5
2013	22	MLB	Detroit Tigers	71	66	13	0	1	0	2	15	0	1	0	.197	.221	.227	.448	.030	.250	21	3	.195	8	-7	+0	+1	+2	+2	-0.2
2013	22	AAA	Toledo Mud Hens	74	67	20	3	0	0	5	7	1	4	0	.299	.356	.343	.699	.045	.333	9	7	.317	101	+0	+1	—	—	+2	0.3
2013	22	AA	Erie SeaWolves	384	362	109	28	2	4	12	48	2	24	7	.301	.327	.423	.750	.122	.335	12	3	.326	108	+3	+2	—	—	+11	1.7
2013	22	INTL	Aguilas del Zulia	130	117	31	6	0	0	8	19	0	5	2	.265	.312	.316	.628	.051	.316	15	6	.276	70	-4	+0	—	—	+4	-0.1
2014	23	AAA	Toledo Mud Hens	596	547	157	32	7	6	36	65	2	21	6	.287	.333	.404	.737	.117	.315	11	6	.324	106	+4	+2	—	—	+17	2.3
2014	23	INTL	Aguilas del Zulia	51	50	10	0	0	0	0	11	0	0	0	.200	.200	.200	.400	.000	.256	22	0	.177	-6	-6	+0	—	—	+1	-0.5
2015	24	MLB	Milwaukee Brewers	272	263	64	15	2	1	5	59	0	5	1	.243	.257	.327	.584	.084	.309	22	2	.256	54	-14	+1	+3	+2	+8	-0.1
2015	24	INTL	Venezuela	269	253	78	9	5	9	9	27	2	11	3	.308	.337	.490	.827	.182	.317	10	3	.356	131	+9	+1	—	—	+8	1.8
2016	25	MLB	Milwaukee Brewers	430	404	110	18	3	13	18	94	1	34	7	.272	.305	.428	.733	.156	.322	22	4	.319	102	+1	+4	+2	+2	+12	2.2
2016	25	AAA	Colorado Springs Sky Sox	67	62	21	4	1	1	3	10	0	2	0	.339	.369	.484	.853	.145	.385	15	4	.366	138	+3	+0	—	—	+2	0.5
2016	25	INTL	Tigres de Aragua	177	169	63	9	2	3	6	20	0	7	1	.373	.394	.503	.897	.130	.408	11	3	.393	159	+12	+1	—	—	+5	1.8
2017	26	MLB	Milwaukee Brewers	458	432	112	19	3	14	20	79	0	13	4	.259	.292	.414	.706	.155	.286	17	4	.308	94	-3	+1	+4	-5	+13	1.0
2017	26	INTL	Tigres de Aragua	21	18	3	1	0	1	2	3	0	2	0	.167	.250	.389	.639	.222	.133	14	10	.270	65	-1	+0	—	—	+1	0.0
2018	27	MLB	Milwaukee Brewers	334	316	80	11	2	9	17	71	0	11	3	.253	.291	.386	.677	.133	.300	21	5	.301	88	-4	+1	+2	+1	+9	1.0
2019	28	MLB	Milwaukee Brewers	246	232	53	11	0	8	11	66	0	5	1	.228	.263	.379	.643	.151	.283	27	4	.281	74	-7	+1	-1	+1	+7	0.0
2019	28	AAA	San Antonio Missions	121	107	31	10	0	5	14	23	0	6	0	.290	.372	.523	.895	.234	.329	19	12	.392	159	+8	+1	—	—	+3	1.3
2020	29	INTL	Tigres de Aragua	122	102	41	8	0	5	20	22	0	8	0	.402	.500	.627	1.127	.225	.480	18	16	.492	234	+19	+2	—	—	+3	2.4
2021	30	MLB	Washington Nationals	21	19	1	0	0	0	2	10	0	0	0	.053	.143	.053	.195	.000	.111	48	10	.110	-58	-4	+0	-0	+1	+1	-0.2
2021	30	AAA	Nashville Sounds	91	84	30	6	0	3	6	16	0	4	1	.357	.400	.536	.936	.179	.409	18	7	.408	170	+7	+0	—	—	+3	1.0
2021	30	INTL	Tigres de Aragua	147	132	39	5	0	6	12	24	1	1	1	.295	.359	.470	.828	.174	.317	16	8	.363	136	+6	-0	—	—	+4	1.0
2022	31	AAA	Gwinnett Stripers	353	323	87	15	1	9	22	74	3	20	3	.269	.321	.406	.726	.136	.320	21	6	.321	104	+1	+3	—	—	+10	1.5
2022	31	INTL	Venezuela	244	210	62	14	1	7	27	27	1	7	2	.295	.378	.471	.850	.176	.302	11	11	.369	140	+11	+1	—	—	+7	1.9
2023	32	AAA	St. Paul Saints	231	204	57	8	2	10	23	48	1	9	4	.279	.355	.485	.841	.206	.315	21	10	.366	138	+10	+0	—	—	+7	1.7
2023	32	A	Fort Myers Mighty Mussels	24	17	4	1	0	0	6	6	0	2	0	.235	.435	.294	.729	.059	.333	25	25	.341	119	+1	+0	—	—	+1	0.2
2023	32	INTL	Venezuela	213	176	51	12	2	4	27	31	4	15	4	.290	.396	.449	.845	.159	.320	15	13	.369	141	+10	+1	—	—	+6	1.8
2024	33	AAA	Louisville Bats	300	269	57	11	2	11	23	66	2	5	1	.212	.279	.390	.669	.178	.235	22	8	.292	82	-6	+1	—	—	+8	0.3
2024	33	INTL	Venezuela	101	86	19	6	0	1	11	17	1	8	0	.221	.316	.326	.642	.105	.261	17	11	.288	78	-2	+2	—	—	+3	0.2
2025	34	INTL	Caribes de Anzoategui	263	227	71	9	1	9	29	53	0	10	2	.313	.391	.480	.871	.167	.365	20	11	.377	147	+14	+1	—	—	+7	2.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1832	1732	433	74	11	45	75	394	1	69	16	.250	.282	.383	.665	.133	.297	22	4	.291	81	-39	+7	+11	+5	+52	3.7

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
Hernán Pérez (OGILVIE)	35	55	40	50	40	.228/.281/.368	.140	.287	8	6	26%	6%	80	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Charlie Culberson 2023 · MLB	34	49→52	45	48→50	44	.241/.290/.371	.130	.302	12	13	24%	6%	84	+0.6	.225/.273/.339	.114	.313	12	12	30%	6%	69	-0.4	.176/.203/.217	.041	.286	5	14	39%	3%	7	-0.8
✕Trinidad Robles 2008 · AAA	35	49	44→40	47→45	46	.241/.294/.360	.119	.288	12	10	21%	6%	83	+0.6	.219/.273/.304	.085	.272	7	7	21%	6%	59	-1.1	.220/.277/.248	.028	.287	0	0	21%	5%	43	-0.9
✕Anthony Recker 2018 · MLB	34	42→48	47→50	49→45	44	.210/.284/.344	.134	.285	14	5	30%	8%	76	+0.0	.215/.278/.370	.155	.292	18	5	31%	7%	79	+0.3	.196/.261/.371	.175	.257	22	0	32%	7%	69	-0.2
✕Yuniesky Betancourt 2017 · AAA	35	46→56	44→50	50	43	.227/.273/.342	.115	.269	11	12	20%	5%	69	-0.4	.229/.260/.311	.082	.254	7	7	13%	4%	54	-1.4	.238/.258/.278	.039	.258	3	0	9%	2%	43	-0.8
✕Drew Maggi 2022 · AAA	33	43→53	47→45	49→60	42	.214/.293/.350	.135	.297	15	13	32%	7%	82	+0.5	.192/.262/.287	.095	.274	8	20	31%	7%	52	-1.6	.168/.238/.238	.070	.236	5	22	29%	6%	26	-1.2
✕Edgar Gonzalez 2013 · AAA	35	53→57	43→45	48→50	47	.260/.307/.370	.110	.300	11	13	17%	6%	91	+1.1	.232/.274/.347	.115	.299	12	16	26%	5%	71	-0.3	.211/.245/.310	.098	.282	11	23	29%	4%	43	-0.6
✕Daniel Hinojosa 2019 · AAA	35	48	39→40	50→55	42	.226/.283/.307	.081	.312	7	12	28%	7%	64	-0.8	.210/.258/.350	.140	.324	17	10	39%	6%	66	-0.6	.140/.178/.291	.151	.208	25	5	47%	4%	14	-0.8
✕Israel Nunez 2019 · AAA	33	47	46→40	49→40	44	.238/.278/.363	.125	.275	14	9	20%	5%	76	+0.1	.241/.278/.342	.101	.284	10	8	19%	4%	71	-0.3	.265/.292/.326	.061	.308	7	0	16%	1%	69	-0.1
✕Drew Butera 2019 · MLB	35	45	46→40	47→40	47	.224/.287/.351	.127	.274	13	4	23%	8%	78	+0.2	.204/.274/.319	.115	.273	11	6	28%	8%	65	-0.7	.174/.252/.278	.105	.246	11	5	32%	8%	45	-1.0
✕Alcides Escobar 2022 · MLB	35	51→61	44→45	50→55	43	.249/.295/.373	.124	.294	11	8	20%	5%	87	+0.8	.241/.291/.354	.113	.301	9	8	22%	5%	79	+0.3	.225/.267/.293	.068	.304	0	5	24%	4%	51	-0.4
✕Carlos Orrantia 2016 · AAA	34	50→55	40→45	47→55	41	.240/.283/.329	.089	.302	7	11	23%	4%	69	-0.4	.233/.271/.315	.082	.293	7	9	22%	4%	60	-1.0	.234/.264/.297	.062	.291	6	8	21%	4%	48	-0.6
✕Adonis García 2019 · MLB	34	52→56	49→50	48→50	44	.262/.304/.407	.145	.287	17	8	16%	4%	100	+1.7	.219/.276/.340	.121	.262	14	14	22%	6%	71	-0.3	.193/.248/.286	.094	.234	11	16	23%	4%	43	-0.9
✕Gabriel Gutierrez 2019 · AAA	35	50	46→45	48→45	46	.249/.295/.382	.132	.281	14	11	17%	5%	89	+0.9	.269/.315/.420	.151	.295	18	11	15%	5%	108	+2.3	.302/.347/.457	.155	.322	20	8	13%	5%	125	+1.4
✕Vinny Rottino 2015 · MLB	35	48→57	46→45	51→55	46	.236/.285/.366	.130	.269	13	17	18%	6%	80	+0.4	.219/.283/.317	.098	.282	9	4	24%	7%	67	-0.5	.210/.279/.293	.083	.270	8	1	24%	8%	57	-0.8
✕Curtis Pride 2005 · MLB	36	48	46→45	51→55	43	.239/.295/.372	.133	.300	13	12	24%	6%	87	+0.8	.242/.317/.378	.136	.327	12	18	27%	10%	97	+1.5	.234/.314/.359	.125	.326	11	21	29%	10%	89	+0.5
✕Pedro Mere 2006 · AAA	36	46→49	43→40	46→40	45	.228/.272/.340	.112	.264	11	7	18%	5%	68	-0.5	.236/.283/.334	.098	.265	9	5	14%	5%	72	-0.2	.239/.289/.324	.085	.269	8	3	14%	5%	69	-0.2
✕Roberto Mejia 2007 · AAA	35	47	44→50	46→45	44	.232/.273/.353	.121	.257	12	10	16%	4%	72	-0.2	.227/.269/.345	.118	.283	12	11	23%	5%	69	-0.4	.218/.256/.304	.085	.295	8	9	28%	4%	46	-0.4
✕Dioner Navarro 2019 · MLB	35	44→54	46→50	45	48	.220/.282/.348	.128	.260	14	7	22%	8%	75	-0.0	.225/.302/.343	.118	.278	12	8	22%	9%	82	+0.5	.182/.269/.232	.050	.233	5	0	22%	10%	38	-0.5
✕Hernando Arredondo 2012 · AAA	35	50→56	45→50	45→50	43	.249/.280/.366	.116	.275	13	12	15%	4%	78	+0.2	.252/.282/.402	.150	.283	18	6	18%	4%	89	+1.0	.253/.285/.404	.151	.282	19	3	18%	4%	87	+0.4
✕Kristopher Negrón 2019 · MLB	33	45→50	45	54→55	39	.223/.279/.349	.126	.309	13	17	31%	6%	74	-0.1	.232/.294/.361	.129	.336	14	14	33%	7%	83	+0.6	.238/.304/.360	.122	.346	14	14	33%	8%	83	+0.4

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Historical Stats — Raw (Per Stint)

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Career Projections (MLE)