Jose Fernandez — OGILVIE

Jose FernandezSS Arizona Diamondbacks

Age 22 R/R 6'3" / 165 lbs MLB HR -5% Svc 0.000 · Ctrl thru 2031

wRC+†80

AVG/OBP/SLG.217 / .255 / .332

PA250

HR6

K%29

BB%4

MLB%100%

Scouting · now → future

HIT

50→50

PWR

50→50

SPD

50→50

EYE

34↘30

trajectory · 10 yrs

1.7peak

2030

Contract

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

Status Pre-Arb

MLB Debut 2026

Service 0.000 yrs.days

Team Control Through 2031

First FA Year 2032

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Pre-Arb	$0.8M	—	—	—
2027	Pre-Arb	$0.8M	—	—	—
2028	Pre-Arb	$0.8M	—	—	—
2029	Arb-1	$0.3M	—	—	—
2030	Arb-2	$0.4M	—	—	—
2031	Arb-3	$0.7M	—	—	—
Totals		$-8M		$-8M	+$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
2021	17	ROK	ACL D-backs	126	117	19	3	1	0	7	58	1	4	1	.162	.216	.205	.421	.043	.317	46	6	.184	-1	-14	+0	+0	-2	+4	-1.3
2022	18	ROK	ACL D-backs Red	196	180	28	5	2	1	9	74	5	2	0	.156	.216	.222	.439	.067	.252	38	5	.189	3	-22	+0	+0	-4	+6	-1.9
2023	19	A	2 teams	442	408	87	16	4	5	25	136	3	10	2	.213	.264	.309	.573	.096	.300	31	6	.247	47	-26	+1	+0	-8	+13	-2.1
2024	20	A+	2 teams	573	548	103	7	1	9	14	184	2	12	5	.188	.211	.254	.465	.066	.261	32	2	.202	13	-56	+0	+0	-10	+16	-5.1
2025	21	AA	2 teams	527	495	103	20	4	11	23	143	3	12	5	.208	.248	.331	.579	.123	.267	27	4	.249	49	-31	+0	+0	-9	+15	-2.5
▸ 2026 Season (actual · ROS · total)
2026	22	MLB	Arizona Diamondbacks	70	68	21	2	0	2	2	17	0	1	0	.309	.329	.426	.755	.118	.388	24	3	.332	112	+1	+0	+0	-1	+2	0.2
ROS	22	MLB	ARI	180	169	39	5	1	4	8	51	1	3	1	.231	.270	.343	.613	.112	.303	28	4	.274	68	-7	+0	+0	-3	+5	-0.5
TOT	22	MLB	ARI	250	237	60	7	1	6	10	68	1	4	1	.253	.286	.367	.653	.114	.329	27	4	.290	80	-6	+0	+0	-4	+7	-0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB	ARI	628	591	139	20	3	16	29	165	3	13	2	.235	.274	.360	.635	.125	.296	26	5	.280	73	-19	+2	+0	-11	+18	-1.1
2028	24	MLB	ARI	640	597	142	21	3	17	34	165	4	13	2	.238	.283	.369	.652	.131	.297	26	5	.289	80	-15	+2	+0	-11	+18	-0.6
2029	25	MLB	ARI	645	600	143	21	3	18	36	164	4	13	2	.238	.286	.373	.659	.135	.297	25	6	.295	84	-12	+2	+0	-12	+18	-0.3
2030	26	MLB	ARI	645	598	144	21	3	19	38	163	4	13	2	.241	.291	.381	.672	.140	.298	25	6	.298	86	-10	+2	+0	-12	+18	-0.2
2031	27	MLB	ARI	640	593	143	21	3	19	38	163	4	13	1	.241	.291	.383	.674	.142	.298	25	6	.298	86	-10	+2	+0	-11	+18	-0.1
2032	28	MLB	ARI	632	585	140	21	3	18	38	162	4	12	1	.239	.290	.378	.668	.138	.297	26	6	.297	85	-11	+2	-1	-11	+18	-0.3
2033	29	MLB	ARI	620	573	137	20	3	18	38	161	4	10	0	.239	.291	.379	.670	.140	.297	26	6	.295	84	-12	+2	-1	-11	+18	-0.4
2034	30	MLB	ARI	608	563	133	19	3	17	37	160	3	9	0	.236	.287	.371	.658	.135	.295	26	6	.291	81	-13	+2	-2	-11	+17	-0.7
2035	31	MLB	ARI	593	549	127	18	2	16	36	158	3	6	0	.231	.282	.359	.641	.128	.294	27	6	.288	78	-15	+1	-3	-11	+17	-1.0
2036	32	MLB	ARI	574	531	121	17	2	15	35	156	3	3	0	.228	.279	.352	.632	.124	.293	27	6	.283	75	-16	+1	-4	-10	+16	-1.4
2037	33	MLB	ARI	544	503	113	16	2	13	33	152	3	1	0	.225	.276	.342	.618	.117	.291	28	6	.278	71	-18	+0	-4	-10	+15	-1.7
2038	34	MLB	ARI	496	461	102	14	2	12	30	142	2	0	0	.221	.272	.338	.610	.117	.290	29	6	.271	66	-19	+0	-5	-9	+14	-1.9
▸ Career Totals (MLE all levels + projections)
Career	—			9309	8661	1963	285	45	228	508	2557	56	149	24	.227	.274	.349	.623	.122	.293	27	5	.276	69	-325	+20	-20	-166	+264	-23.2
/ 162G	—			650	605	137	20	3	16	35	179	4	10	2	.226	.273	.349	.622	.122	.292	28	5	.276	69	-23	+1	-1	-12	+18	-1.6

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
2021	17	ROK	ACL D-backs	126	112	28	4	1	0	11	39	1	4	1	.250	.320	.304	.624	.054	.378	31	9	.286	77	-3	+0	—	—	+4	0.1
2022	18	ROK	ACL D-backs Red	196	175	38	7	3	1	14	51	5	2	0	.217	.294	.309	.602	.091	.296	26	7	.274	68	-7	+0	—	—	+6	-0.1
2023	19	A	Visalia Rawhide	394	355	93	18	4	5	31	92	2	9	2	.262	.325	.377	.702	.115	.333	23	8	.312	97	-1	+1	—	—	+11	1.1
2023	19	INTL	Caribes de Anzoategui	48	45	12	2	1	1	2	9	1	1	0	.267	.312	.422	.735	.156	.314	19	4	.326	107	+0	+0	—	—	+1	0.2
2024	20	A+	Hillsboro Hops	387	363	93	7	2	7	17	85	2	10	5	.256	.293	.344	.638	.088	.315	22	4	.284	75	-11	+0	—	—	+11	0.0
2024	20	INTL	Caribes de Anzoategui	186	172	53	14	2	6	10	45	0	2	0	.308	.346	.517	.864	.209	.379	24	5	.369	141	+9	+0	—	—	+5	1.5
2025	21	AA	Amarillo Sod Poodles	511	471	128	27	4	17	32	104	3	12	4	.272	.321	.454	.776	.183	.315	20	6	.339	118	+10	+1	—	—	+14	2.6
2025	21	INTL	Caribes de Anzoategui	16	12	4	0	0	1	2	3	0	0	1	.333	.429	.583	1.012	.250	.300	19	12	.387	154	+1	-0	—	—	+0	0.1

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 Fernandez (OGILVIE)	22	50	50	50	30	.231/.266/.347	.116	.287	6	5	25%	4%	68	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ronny Rodríguez 2014 · AA	22	43→52	45→55	48→50	36	.218/.243/.345	.126	.268	12	9	24%	3%	56	-1.3	.218/.246/.333	.115	.276	11	7	25%	3%	55	-1.4	.248/.275/.413	.165	.293	21	13	23%	3%	86	+0.6
✕Brendan Rodgers 2019 · AAA	22	46→54	48→50	46→45	38	.234/.276/.374	.141	.289	16	7	25%	4%	79	+0.3	.241/.288/.379	.138	.301	15	6	24%	5%	85	+0.7	.253/.308/.383	.131	.298	13	0	19%	6%	93	+0.8
✕Yairo Muñoz 2018 · AAA	23	45→54	44→50	49→55	39	.227/.258/.344	.117	.276	12	13	23%	4%	63	-0.8	.253/.298/.381	.128	.313	13	14	23%	6%	90	+1.0	.270/.315/.386	.116	.325	11	18	20%	5%	92	+0.6
✕Michael Almanzar 2014 · AA	23	45→50	44→50	47→45	39	.225/.265/.343	.117	.281	12	9	25%	4%	66	-0.6	.218/.261/.326	.108	.276	11	6	24%	4%	60	-1.0	.199/.240/.292	.094	.254	9	2	25%	4%	40	-1.6
✕Christian Villanueva 2013 · A	22	44→45	44→55	48→50	39	.218/.271/.331	.113	.279	11	13	26%	4%	66	-0.6	.211/.259/.351	.140	.267	15	6	27%	5%	66	-0.6	.222/.280/.396	.173	.255	23	3	23%	6%	86	+0.6
●Yamaico Navarro 2010 · AA	22	48→53	44→50	48→50	42	.237/.282/.358	.121	.295	11	8	24%	5%	77	+0.1	.227/.283/.348	.121	.275	12	13	21%	7%	76	+0.0	.230/.298/.389	.159	.262	21	11	21%	9%	92	+0.8
✕Leo German 2015 · AAA	22	45→55	43→45	50→55	39	.225/.276/.334	.110	.287	11	16	26%	4%	69	-0.4	.239/.285/.336	.097	.309	8	25	24%	4%	72	-0.2	.282/.316/.373	.091	.363	7	23	23%	4%	90	+0.6
✕Chris Nelson 2008 · A	22	44→54	46→50	52→50	41	.222/.269/.358	.136	.276	13	12	24%	5%	72	-0.2	.225/.279/.355	.130	.281	12	12	24%	6%	76	+0.0	.257/.301/.387	.130	.311	13	7	21%	5%	87	+0.6
✕Jorge Alfaro 2015 · AA	22	41→51	47→50	48→50	33	.208/.259/.345	.136	.300	14	8	35%	4%	65	-0.7	.219/.263/.345	.126	.320	13	5	35%	4%	66	-0.6	.259/.315/.406	.147	.380	19	6	35%	5%	97	+0.8
●Jamie Westbrook 2017 · AA	22	48→52	43→55	47→45	42	.233/.271/.342	.109	.272	10	9	19%	4%	68	-0.5	.237/.275/.367	.130	.270	14	6	18%	4%	77	+0.1	.245/.316/.386	.141	.288	15	4	20%	8%	96	+1.1
✕Thomas Saggese 2023 · AA	21	45→55	48→55	52→50	39	.224/.274/.367	.143	.310	15	11	32%	6%	76	+0.1	.233/.284/.381	.148	.312	16	9	30%	5%	85	+0.7	.235/.288/.373	.139	.314	16	8	29%	5%	82	+0.4
✕German Duran 2007 · A	22	46→49	45→50	46→45	42	.231/.273/.358	.127	.286	13	11	24%	5%	73	-0.1	.233/.276/.377	.144	.275	16	9	21%	5%	79	+0.3	.223/.267/.365	.142	.257	16	6	20%	5%	70	-0.2
✕Kevin Flores 2008 · AAA	23	46→51	44→45	47→45	41	.226/.267/.341	.115	.281	11	9	24%	5%	66	-0.6	.224/.270/.308	.084	.283	6	9	22%	5%	58	-1.2	.272/.310/.368	.096	.313	11	0	17%	4%	88	+0.5
✕Chris Owings 2013 · AA	21	44→54	44→50	46→55	34	.219/.245/.335	.116	.292	12	8	30%	3%	55	-1.4	.242/.273/.352	.110	.313	9	14	25%	4%	71	-0.3	.250/.293/.380	.129	.309	10	21	22%	5%	82	+0.3
✕Diego Madero 2014 · AAA	22	49→51	41→45	47→50	40	.239/.269/.332	.093	.285	9	11	20%	4%	64	-0.8	.241/.278/.334	.093	.279	7	14	16%	4%	68	-0.5	.253/.296/.353	.099	.286	10	17	15%	5%	77	+0.1
✕Austin Romine 2011 · AA	22	48→51	45→50	46→45	41	.239/.275/.361	.122	.289	12	5	22%	4%	75	-0.0	.236/.281/.341	.105	.294	11	4	23%	6%	72	-0.2	.256/.294/.402	.146	.322	18	2	26%	5%	91	+0.4
✕Matt Vierling 2019 · A	22	46→55	47→50	44→50	39	.231/.274/.365	.134	.292	14	9	26%	4%	76	+0.1	.206/.259/.305	.099	.275	9	14	27%	5%	54	-1.4	.252/.313/.388	.135	.304	13	10	21%	7%	95	+1.2
✕Jonathan Ornelas 2023 · AA	23	49→54	44→45	48→50	39	.240/.282/.355	.115	.315	13	10	28%	5%	76	+0.1	.221/.283/.311	.090	.310	9	12	30%	7%	66	-0.6	.201/.271/.275	.074	.288	7	12	31%	8%	49	-1.4
✕Franklin Barreto 2018 · MLB	22	46→47	45→55	50	36	.228/.266/.347	.119	.310	12	17	30%	4%	68	-0.5	.214/.271/.372	.158	.312	19	14	36%	6%	77	+0.1	.181/.251/.338	.156	.275	19	14	40%	7%	58	-0.8
✕Asael Sanchez 2016 · AAA	22	52	44→45	50→45	42	.256/.294/.370	.114	.305	11	13	20%	5%	85	+0.7	.260/.301/.388	.128	.315	12	9	21%	5%	92	+1.2	.271/.314/.394	.123	.340	12	6	23%	5%	94	+0.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)