Jose Herrera — OGILVIE

Jose HerreraC Round Rock Express

Age 29 S/R 5'9" / 217 lbs AAA K +3% Svc 4.000 · Ctrl thru 2027 peak 0.1 · 2026

wRC+†vL 6855vR 57

AVG/OBP/SLG.188 / .272 / .270

PA290

HR3

K%22

BB%10

xwOBA.237

Barrel%0.8%

MLB%10%

Scouting · now → future

HIT

35→35

PWR

30→30

SPD

30→30

EYE

55↗60

trajectory · 10 yrs

-0.2peak

2027

Barrel%

100.800

xwOBA

100.237

Avg EV

1083.9

Whiff%

840.075

Chase%

900.187

Speed

1024.8

Bat Spd

1067.0

Contract

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

Status Arb-2

MLB Debut 2022

Service 4.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-2	$0.4M	+0.1	$0.4M	+$0.0M
2027	Arb-3	$0.6M	—	—	—
Totals		$-0.4M		$-0.4M	+$0.0M

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
2014	17	ROK	Missoula Osprey	193	171	31	4	1	0	15	56	4	1	0	.181	.263	.216	.480	.035	.263	29	8	.217	24	-17	+0	+0	+3	+5	-0.8
2015	18	ROK	ACL D-backs	94	84	20	2	0	1	8	16	2	0	0	.238	.319	.298	.617	.060	.284	17	9	.276	69	-3	+0	+0	+2	+3	0.1
2016	19	ROK	Missoula Osprey	154	143	31	4	1	4	9	39	1	1	2	.217	.268	.343	.611	.126	.267	25	6	.252	51	-9	-1	+0	+3	+4	-0.2
2017	20	A	3 teams	355	335	62	20	0	1	19	61	0	0	0	.185	.229	.254	.483	.069	.223	17	5	.218	25	-30	+0	+0	+6	+10	-1.4
2018	21	A	Kane County Cougars	123	117	22	4	0	1	5	27	0	0	0	.188	.221	.248	.469	.060	.233	22	4	.205	15	-12	+0	+0	+2	+3	-0.6
2019	22	A	2 teams	376	324	66	16	1	5	44	96	2	3	1	.204	.303	.306	.608	.102	.266	26	12	.274	68	-14	+0	+0	+7	+11	0.4
2021	24	AAA	3 teams	454	406	80	10	3	10	45	137	1	4	2	.197	.279	.310	.589	.113	.268	30	10	.266	62	-20	+0	+0	+8	+13	0.1
2022	25	INTL	3 teams	367	333	80	7	0	3	28	75	1	1	0	.240	.301	.288	.589	.048	.301	20	8	.262	59	-17	+0	+3	+7	+10	0.4
2023	26	MLB	2 teams	239	207	44	8	1	2	23	57	2	1	0	.213	.297	.290	.587	.077	.282	24	10	.255	53	-13	+0	-1	+4	+7	-0.3
2024	27	AAA	3 teams	313	274	57	9	2	3	26	69	0	0	1	.208	.277	.288	.565	.080	.262	22	8	.247	47	-19	-0	+2	+6	+9	-0.2
2025	28	MLB	3 teams	364	303	59	11	0	4	40	77	3	0	0	.195	.295	.271	.565	.076	.242	21	11	.249	49	-21	+0	+2	+7	+10	-0.2
▸ 2026 Season (actual · ROS · total)
2026	29	AAA	Round Rock Express	41	33	5	1	0	1	7	10	1	0	0	.152	.317	.273	.590	.121	.182	24	17	.261	58	-2	+0	+0	+1	+1	-0.0
ROS	29	MLB	TEX	249	219	41	8	1	3	26	54	2	1	0	.187	.279	.274	.553	.087	.231	22	10	.256	54	-13	+0	+2	+4	+7	0.1
TOT	29	MLB	TEX	290	252	46	9	1	4	33	64	3	1	0	.183	.285	.274	.559	.091	.227	22	11	.257	55	-15	+0	+2	+5	+8	0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	30	MLB 20%	TEX	323	282	53	11	1	4	36	64	2	1	0	.188	.284	.277	.561	.089	.224	20	11	.257	55	-16	+0	+1	+6	+9	-0.1
2028	31	MLB 33%	TEX	299	261	48	10	1	3	34	61	2	0	0	.184	.283	.264	.547	.080	.222	20	11	.254	52	-16	+0	-0	+5	+8	-0.3
2029	32	MLB 43%	TEX	272	237	43	8	1	3	31	57	2	0	0	.181	.281	.262	.543	.080	.220	21	11	.249	49	-16	+0	-1	+5	+8	-0.5
2030	33	MLB 57%	TEX	236	207	36	7	1	2	26	51	1	0	0	.174	.269	.246	.516	.072	.218	22	11	.243	44	-15	+0	-2	+4	+7	-0.6
2031	34	MLB 75%	TEX	191	167	27	5	0	1	21	43	1	0	0	.162	.259	.210	.469	.048	.215	23	11	.237	39	-13	+0	-3	+3	+5	-0.8
▸ Career Totals (MLE all levels + projections)
Career	—			4602	4070	800	144	14	50	436	1040	26	13	6	.197	.278	.276	.554	.079	.249	23	9	.250	50	-262	+0	+2	+82	+130	-4.8
/ 162G	—			650	575	113	20	2	7	62	147	4	2	1	.197	.280	.275	.554	.078	.249	23	10	.250	50	-37	+0	+0	+12	+18	-0.7

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
2014	17	ROK	Missoula Osprey	193	161	37	5	1	0	25	39	4	1	0	.230	.347	.273	.621	.043	.296	20	13	.293	82	-4	+0	—	—	+5	0.2
2015	18	ROK	ACL D-backs	94	79	24	3	0	1	13	11	2	0	0	.304	.415	.380	.795	.076	.343	12	14	.368	140	+4	+0	—	—	+3	0.7
2016	19	ROK	Missoula Osprey	154	137	38	5	1	5	15	27	1	1	2	.277	.353	.438	.791	.161	.311	18	10	.351	127	+5	-1	—	—	+4	0.9
2017	20	A	Kane County Cougars	238	221	46	15	0	1	16	32	0	0	0	.208	.262	.290	.551	.081	.238	13	7	.251	50	-13	+0	—	—	+7	-0.7
2017	20	ROK	ACL D-backs	27	21	9	4	0	0	6	3	0	0	0	.429	.556	.619	1.175	.190	.500	11	22	.513	251	+5	+0	—	—	+1	0.5
2017	20	INTL	Aguilas del Zulia	90	83	19	4	0	1	7	24	0	0	0	.229	.289	.313	.602	.084	.310	27	8	.275	69	-3	+0	—	—	+3	-0.1
2018	21	A	Kane County Cougars	123	115	26	5	0	1	7	21	0	0	0	.226	.270	.296	.566	.070	.266	17	6	.256	54	-6	+0	—	—	+3	-0.3
2019	22	A+	Visalia Rawhide	168	133	29	6	0	1	31	39	2	1	0	.218	.373	.286	.659	.068	.295	23	18	.314	99	-0	+0	—	—	+5	0.5
2019	22	A	Kane County Cougars	208	169	47	13	1	4	35	33	0	2	1	.278	.402	.438	.840	.160	.316	16	17	.372	143	+10	+0	—	—	+6	1.6
2021	24	AAA	Reno Aces	212	180	44	7	1	6	32	42	0	1	0	.244	.358	.394	.753	.150	.288	20	15	.342	120	+5	+0	—	—	+6	1.1
2021	24	AA	Amarillo Sod Poodles	148	126	35	4	2	5	19	39	1	3	1	.278	.377	.460	.837	.183	.357	26	13	.368	140	+7	+0	—	—	+4	1.1
2021	24	INTL	Aguilas del Zulia	94	73	26	3	0	1	21	14	0	0	1	.356	.500	.438	.938	.082	.431	15	22	.431	188	+9	-0	—	—	+3	1.2
2022	25	MLB	Arizona Diamondbacks	124	111	21	2	0	0	9	34	0	0	0	.189	.250	.207	.457	.018	.273	27	7	.210	19	-11	+0	+3	+7	+4	0.2
2022	25	AAA	Reno Aces	104	91	31	3	0	2	12	10	1	0	0	.341	.423	.440	.863	.099	.367	10	12	.391	157	+7	+0	—	—	+3	1.0
2022	25	INTL	Aguilas del Zulia	139	114	27	2	0	1	24	20	0	1	0	.237	.370	.281	.650	.044	.277	14	17	.310	96	-1	+0	—	—	+4	0.4
2023	26	MLB	Arizona Diamondbacks	120	101	21	5	0	0	13	30	0	1	0	.208	.298	.257	.556	.050	.292	25	11	.250	49	-7	+0	-1	+4	+3	-0.1
2023	26	AAA	Reno Aces	119	101	26	4	1	2	15	20	2	0	0	.257	.364	.376	.741	.119	.304	17	13	.336	116	+2	+0	—	—	+3	0.6
2024	27	MLB	Arizona Diamondbacks	114	97	22	4	1	1	9	27	0	0	0	.227	.292	.320	.612	.093	.300	24	8	.260	57	-6	+0	+2	+6	+3	0.6
2024	27	AAA	Reno Aces	149	127	33	5	1	2	19	23	0	0	1	.260	.356	.362	.718	.102	.298	15	13	.323	105	+1	-0	—	—	+4	0.5
2024	27	INTL	Aguilas del Zulia	50	43	14	3	0	0	5	13	0	0	0	.326	.396	.395	.791	.070	.452	26	10	.346	123	+1	+0	—	—	+1	0.3
2025	28	MLB	Arizona Diamondbacks	204	166	31	6	0	2	23	47	1	0	0	.187	.289	.259	.549	.072	.242	23	11	.242	44	-13	+0	+2	+7	+6	0.2
2025	28	AAA	Reno Aces	42	36	10	2	0	1	6	4	0	0	0	.278	.381	.417	.798	.139	.290	10	14	.361	135	+2	+0	—	—	+1	0.3
2025	28	INTL	Aguilas del Zulia	118	94	17	7	0	0	18	17	2	0	0	.181	.325	.255	.580	.074	.215	14	15	.272	66	-5	+0	—	—	+3	-0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			562	475	95	17	1	3	54	138	1	1	0	.200	.283	.259	.542	.059	.271	25	10	.240	42	-37	+0	+6	+23	+16	0.9

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
Jose Herrera (OGILVIE)	29	35	30	30	60	.188/.272/.270	.083	.234	3	2	22%	10%	52	-0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Chris Berset 2016 · AAA	28	42	37→40	39→40	45	.200/.258/.275	.074	.249	5	3	21%	6%	45	-2.1	.224/.269/.290	.066	.287	5	5	23%	5%	53	-1.5	.242/.280/.280	.038	.308	4	2	22%	5%	53	-0.8
✕Ricardo Valenzuela 2019 · AAA	28	46	37→30	36→50	48	.221/.272/.287	.065	.260	6	5	17%	6%	54	-1.4	.235/.281/.344	.109	.269	12	7	17%	6%	72	-0.2	.246/.284/.343	.098	.270	13	0	14%	5%	74	-0.0
✕Eliezer Zambrano 2016 · AA	29	46	37→30	41→40	42	.217/.250/.284	.067	.249	6	5	16%	4%	43	-2.2	.205/.236/.274	.069	.249	5	5	19%	4%	34	-2.8	.188/.203/.220	.032	.241	0	0	22%	2%	1	-1.0
✕Michael Papierski 2023 · MLB	27	41	42→40	38→40	50	.200/.286/.300	.100	.257	10	4	25%	9%	66	-0.6	.211/.290/.320	.109	.273	11	4	25%	9%	72	-0.2	.206/.291/.312	.106	.268	11	1	26%	10%	69	-0.2
✕Sharlon Schoop 2016 · AAA	29	43→44	37→40	41→45	42	.209/.253/.278	.069	.270	5	4	24%	5%	43	-2.2	.212/.260/.315	.103	.273	10	4	25%	6%	56	-1.3	.204/.257/.319	.115	.259	12	0	26%	6%	52	-0.5
✕Nash Knight 2021 · AA	28	44→49	41→45	37→40	47	.212/.287/.307	.095	.278	8	5	26%	8%	67	-0.5	.193/.276/.301	.108	.300	10	5	36%	9%	62	-0.9	.168/.259/.267	.099	.273	10	1	39%	9%	43	-1.1
✕Brian Jeroloman 2016 · AAA	31	41→38	38→40	38→40	50	.198/.274/.269	.071	.264	6	3	26%	9%	52	-1.6	.212/.289/.297	.085	.285	6	6	25%	9%	65	-0.7	.198/.284/.262	.064	.282	0	0	27%	10%	51	-0.4
✕Mike Nickeas 2012 · MLB	29	46	40	41→40	50	.220/.286/.307	.087	.261	7	4	18%	8%	66	-0.6	.206/.263/.292	.086	.254	7	4	21%	6%	53	-1.5	.186/.243/.254	.068	.232	6	1	22%	6%	33	-0.9
✕Gustavo Molina 2010 · MLB	28	40→39	40	40	40	.198/.234/.285	.087	.237	8	3	21%	4%	37	-2.6	.208/.241/.342	.134	.245	17	4	23%	4%	56	-1.3	.198/.226/.345	.147	.230	22	0	26%	3%	47	-0.5
✕Jack Murphy 2017 · AAA	29	42	40→45	44→40	47	.205/.271/.291	.086	.271	8	3	26%	8%	56	-1.3	.189/.253/.264	.075	.267	6	5	29%	8%	41	-2.3	.113/.180/.144	.031	.169	0	0	31%	7%	-22	-2.1
✕Tony Cruz 2016 · MLB	29	44→37	42→45	40	46	.215/.265/.320	.105	.256	9	4	20%	6%	59	-1.1	.221/.275/.335	.114	.287	12	4	26%	7%	69	-0.4	.220/.276/.322	.102	.291	11	2	27%	6%	65	-0.3
✕Adam Donachie 2011 · AAA	27	38	40→45	36→30	45	.187/.251/.271	.084	.255	8	3	29%	8%	42	-2.3	.197/.261/.310	.113	.275	12	6	31%	8%	56	-1.3	.155/.236/.286	.131	.210	18	0	35%	10%	38	-0.7
✕Jackson Williams 2016 · MLB	30	43	39→45	41→40	46	.206/.266/.288	.081	.263	7	5	23%	7%	53	-1.5	.198/.249/.266	.068	.253	5	4	23%	6%	40	-2.4	.176/.225/.222	.046	.228	3	0	23%	5%	16	-1.6
✕Tsuyoshi Nishioka 2012 · MLB	28	48→50	37→30	41→45	48	.228/.287/.297	.069	.275	5	8	19%	7%	63	-0.8	.229/.275/.304	.075	.268	5	9	16%	6%	59	-1.1	.230/.267/.288	.059	.266	2	8	14%	5%	48	-1.3
✕Horacio Vasquez 2015 · AAA	29	44	39→40	40	38	.216/.245/.299	.082	.276	8	7	25%	4%	45	-2.1	.220/.254/.294	.074	.287	6	9	24%	4%	47	-1.9	.223/.250/.266	.043	.292	2	6	24%	3%	36	-0.7
✕Tyler LaTorre 2012 · AAA	29	45	40	41→40	45	.216/.280/.311	.095	.292	7	5	27%	7%	64	-0.8	.217/.277/.315	.098	.297	9	6	28%	7%	64	-0.8	.242/.298/.315	.073	.328	5	3	26%	7%	69	-0.1
✕Brooks Badeaux 2007 · AAA	30	43→53	41→40	40→30	42	.212/.255/.308	.096	.252	10	5	20%	4%	53	-1.5	.232/.276/.313	.081	.276	6	5	17%	5%	63	-0.9	.250/.292/.311	.061	.295	1	1	15%	5%	66	-0.5
✕Alberto Rosario 2016 · AAA	29	41	39→30	43→50	41	.201/.244/.284	.083	.246	7	5	22%	4%	41	-2.3	.216/.254/.281	.065	.268	4	6	20%	4%	44	-2.1	.224/.257/.262	.038	.278	2	3	20%	4%	37	-0.8
✕Ryan Leahy 2008 · AA	27	46	35→30	36→45	48	.214/.276/.268	.054	.258	3	5	18%	6%	51	-1.7	.197/.242/.254	.057	.238	3	6	18%	5%	33	-2.9	.158/.182/.178	.020	.188	0	2	16%	2%	-17	-2.0
✕Tuffy Gosewisch 2013 · AAA	29	42→44	44→45	39→40	43	.210/.264/.326	.116	.252	11	4	22%	5%	62	-0.9	.213/.252/.317	.104	.256	9	5	20%	4%	53	-1.5	.220/.265/.328	.108	.255	11	2	18%	5%	59	-0.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)