Josue Gonzalez — OGILVIE

Josue GonzalezC Hudson Valley Renegades

Age 22 R/R 5'9" / 170 lbs A+ HR +8%BB +8% Svc 0.0 · Ctrl thru 2035 peak 2.0 · 2030

wRC+†73

AVG/OBP/SLG.198 / .297 / .313

PA253

HR4

K%29

BB%10

MLB%0%

Scouting · now → future

HIT

25→25

PWR

30→30

SPD

55→55

EYE

52↗55

trajectory · 10 yrs

2.0peak

2031

Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Arb-2	$0.9M	+2.0	$18M	+$17M
2031	Arb-3	$0.9M	+2.0	$19M	+$18M
2032	Ext / FA-deal	$0.9M	+1.9	$18M	+$17M
2033	Ext / FA-deal	$3M	+1.7	$17M	+$13M
2034	Ext / FA-deal	$5M	+1.5	$15M	+$11M
2035	Ext / FA-deal	$5M	+1.2	$13M	+$7M
Totals		$16M		$99M	+$83M

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	DSL Yankees 2	62	51	8	1	1	1	8	18	2	1	1	.157	.295	.275	.570	.118	.212	29	13	.244	45	-4	-0	+0	+1	+2	-0.1
2023	19	ROK	DSL NYY Yankees	147	118	26	9	1	1	22	31	5	8	3	.220	.366	.339	.705	.119	.284	21	15	.316	100	+0	+0	+0	+3	+4	0.7
2024	20	ROK	2 teams	291	247	43	8	0	6	21	84	14	5	3	.174	.277	.279	.556	.105	.223	29	7	.247	47	-17	-0	+0	+5	+8	-0.4
2025	21	A	Tampa Tarpons	265	225	31	8	2	4	28	85	7	14	2	.138	.254	.244	.498	.107	.191	32	11	.224	30	-21	+2	+0	+5	+8	-0.7
▸ 2026 Season (actual · ROS · total)
2026	22	A+	Hudson Valley Renegades	45	38	7	1	1	2	3	16	3	0	0	.184	.295	.421	.717	.237	.238	36	7	.263	59	-2	+0	+0	+1	+1	0.0
ROS	22	MLB	NYY	208	180	35	8	1	4	19	61	7	4	1	.194	.296	.317	.613	.122	.270	29	9	.285	76	-6	+0	+0	+4	+6	0.4
TOT	22	MLB	NYY	253	218	42	9	2	6	22	77	10	4	1	.193	.296	.335	.631	.142	.263	30	9	.281	73	-8	+0	+0	+5	+7	0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	NYY	303	261	55	12	2	7	30	76	9	6	2	.211	.313	.352	.666	.142	.259	25	10	.296	85	-5	+0	+0	+5	+9	0.9
2028	24	MLB 26%	NYY	383	331	69	15	2	9	38	94	11	8	2	.208	.311	.347	.658	.139	.262	25	10	.302	89	-5	+1	+0	+7	+11	1.4
2029	25	MLB 44%	NYY	429	371	79	17	2	11	43	104	12	9	2	.213	.315	.358	.673	.146	.264	24	10	.306	93	-4	+1	+0	+8	+12	1.8
2030	26	MLB 59%	NYY	456	394	85	18	3	12	47	111	12	10	2	.216	.318	.368	.686	.152	.265	24	10	.308	94	-3	+1	+0	+8	+13	2.0
2031	27	MLB 76%	NYY	467	403	86	18	3	12	48	114	13	10	2	.213	.317	.362	.679	.149	.265	24	10	.308	94	-3	+1	+0	+8	+13	2.0
2032	28	MLB 94%	NYY	470	405	87	18	3	12	49	116	13	9	2	.215	.319	.363	.682	.148	.265	25	10	.307	93	-4	+1	-1	+8	+13	1.9
2033	29	MLB	NYY	464	399	84	18	2	12	49	115	13	9	2	.211	.317	.356	.673	.145	.264	25	11	.305	92	-4	+1	-1	+8	+13	1.7
2034	30	MLB	NYY	457	394	81	17	2	11	48	115	12	8	1	.206	.311	.343	.653	.137	.262	25	11	.302	89	-5	+1	-2	+8	+13	1.5
2035	31	MLB	NYY	431	372	76	16	2	10	45	110	11	7	1	.204	.308	.339	.647	.134	.261	26	10	.298	87	-7	+1	-3	+8	+12	1.2
2036	32	MLB	NYY	401	345	70	15	2	9	42	105	11	6	0	.203	.309	.336	.645	.133	.259	26	10	.294	83	-8	+1	-4	+7	+11	0.9
2037	33	MLB	NYY	362	312	62	13	2	8	38	97	9	5	0	.199	.304	.330	.634	.131	.257	27	10	.288	79	-9	+1	-4	+6	+10	0.5
2038	34	MLB	NYY	312	269	51	11	1	6	32	86	8	5	0	.190	.294	.305	.599	.115	.255	28	10	.282	74	-9	+1	-5	+6	+9	0.1
2039	35	MLB	NYY	255	220	41	8	1	5	26	73	7	4	0	.186	.292	.300	.592	.114	.252	29	10	.274	68	-9	+1	-6	+5	+7	-0.2
2040	36	MLB	NYY	199	172	30	6	1	3	20	59	5	3	0	.174	.279	.273	.552	.099	.249	30	10	.266	61	-9	+1	-6	+4	+6	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			6362	5469	1099	236	33	143	653	1654	181	131	26	.201	.307	.335	.641	.134	.257	26	10	.292	82	-131	+16	-31	+114	+180	15.0
/ 162G	—			650	559	112	24	3	15	67	169	18	13	3	.200	.306	.335	.640	.134	.256	26	10	.292	82	-13	+1	-3	+12	+18	1.5

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	DSL Yankees 2	62	46	10	2	1	1	13	12	2	1	1	.217	.410	.370	.779	.152	.265	19	21	.359	133	+2	-0	—	—	+2	0.4
2023	19	ROK	DSL NYY Yankees	147	102	33	13	1	2	38	21	5	8	3	.324	.524	.529	1.054	.206	.383	14	26	.463	212	+19	+0	—	—	+4	2.4
2024	20	A	Tampa Tarpons	137	115	27	4	0	3	10	26	4	1	3	.235	.318	.348	.666	.113	.255	19	7	.288	78	-3	-1	—	—	+4	-0.0
2024	20	ROK	FCL Yankees	154	121	29	7	0	6	22	30	10	4	0	.240	.399	.446	.845	.207	.267	19	14	.381	150	+9	+1	—	—	+4	1.4
2025	21	A	Tampa Tarpons	265	216	37	9	2	4	37	60	7	14	2	.171	.312	.287	.599	.116	.210	23	14	.279	72	-8	+2	—	—	+8	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
Josue Gonzalez (OGILVIE)	22	25	30	55	55	.198/.297/.313	.116	.273	4	5	29%	10%	75	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alexander Campos 2022 · A	22	43	42→40	46→45	48	.209/.289/.317	.108	.281	9	6	28%	9%	70	-0.3	.221/.304/.311	.090	.312	8	6	29%	9%	75	-0.0	.236/.329/.308	.072	.330	7	6	28%	11%	83	+0.2
✕Taylor Krick 2011 · A	23	43	39→30	48→40	49	.206/.285/.289	.084	.266	7	7	24%	9%	62	-0.9	.224/.308/.287	.063	.307	4	5	26%	8%	71	-0.3	.233/.323/.283	.051	.326	2	2	26%	8%	73	-0.0
✕Aaron McKeithan 2022 · A	22	41	39→40	49→40	40	.198/.263/.282	.084	.277	6	7	29%	6%	50	-1.7	.218/.296/.304	.086	.283	8	4	24%	7%	70	-0.3	.219/.302/.289	.070	.280	7	1	22%	7%	69	-0.2
✕Adrian Abreu 2013 · A	22	45	40	52→55	53	.215/.292/.302	.087	.252	8	18	18%	9%	67	-0.5	.204/.282/.287	.083	.261	6	14	23%	9%	59	-1.1	.141/.245/.214	.074	.184	4	14	24%	11%	24	-0.7
✕Jeferson Morales 2021 · A	22	44→46	40→45	48→50	52	.208/.300/.315	.107	.258	6	10	20%	9%	75	-0.0	.202/.283/.334	.132	.263	13	9	27%	8%	73	-0.1	.223/.298/.355	.132	.277	12	8	23%	7%	81	+0.2
✕Imbewer Alvarez 2008 · A	22	47	40	51→55	46	.225/.293/.318	.094	.300	7	17	26%	8%	72	-0.2	.201/.260/.278	.077	.307	5	12	34%	6%	47	-1.9	.135/.182/.184	.049	.223	4	5	40%	2%	-12	-1.0
✕Juan Mora 2022 · A	22	46	44→45	55	46	.222/.297/.343	.121	.288	11	15	26%	8%	81	+0.4	.226/.283/.335	.109	.306	10	9	28%	5%	72	-0.2	.220/.277/.325	.105	.292	10	8	27%	5%	65	-0.3
✕David Martin 2023 · A	22	45	39→30	49→30	42	.213/.285/.304	.091	.300	6	7	29%	6%	66	-0.6	.223/.305/.293	.070	.278	5	4	20%	9%	71	-0.3	.243/.334/.302	.059	.291	5	1	16%	10%	83	+0.3
✕Leo Jiménez 2023 · A	22	47→49	40→45	48→45	51	.222/.330/.318	.096	.290	7	9	24%	9%	90	+1.0	.229/.317/.341	.112	.289	10	7	23%	7%	89	+1.0	.230/.322/.343	.112	.289	11	5	22%	7%	88	+0.5
✕Brett Martinez 2006 · A	22	44→41	41→40	54→50	45	.211/.283/.308	.098	.289	8	8	28%	8%	66	-0.6	.203/.263/.271	.068	.282	5	7	28%	7%	46	-2.0	.197/.253/.247	.050	.272	5	5	28%	6%	34	-1.9
✕José Caballero 2019 · A	22	48→45	43→45	48→70	45	.232/.292/.346	.114	.280	10	9	21%	6%	79	+0.3	.220/.293/.329	.109	.282	9	25	24%	7%	76	+0.0	.229/.321/.344	.115	.305	10	63	26%	9%	87	+0.6
✕Tucker Mitchell 2023 · A	22	38	43→50	51→45	35	.183/.259/.287	.104	.311	11	11	42%	6%	51	-1.7	.198/.263/.310	.112	.287	13	7	34%	6%	58	-1.2	.185/.242/.280	.095	.261	13	5	33%	5%	38	-1.0
✕Corey Joyce 2021 · A	22	44	40→45	50	40	.212/.268/.307	.095	.307	8	8	32%	6%	58	-1.2	.203/.290/.313	.110	.295	11	12	32%	9%	70	-0.3	.212/.315/.318	.105	.301	9	14	29%	10%	80	+0.2
✕Sherman Lacrus 2016 · A	22	47	40→30	45→50	49	.225/.297/.314	.089	.263	7	7	17%	7%	73	-0.1	.204/.258/.288	.084	.268	6	8	25%	6%	49	-1.8	.183/.231/.254	.071	.236	5	9	24%	4%	26	-1.1
✕Christian Cairo 2023 · A	22	40→47	39→40	53→60	49	.186/.290/.271	.084	.288	7	16	34%	11%	60	-1.0	.204/.296/.285	.081	.295	5	22	29%	10%	66	-0.6	.215/.301/.289	.073	.310	4	35	29%	9%	66	-0.3
✕Jason Taylor 2010 · A	22	44→40	45	52→55	51	.220/.295/.345	.124	.265	12	21	22%	9%	80	+0.4	.208/.261/.317	.109	.266	10	14	25%	6%	58	-1.2	.143/.173/.230	.086	.184	9	6	28%	3%	-4	-1.1
✕Glenn Santiago 2023 · A	22	41	41→40	46→45	40	.203/.258/.301	.098	.286	8	8	31%	6%	52	-1.6	.200/.266/.289	.089	.294	8	9	32%	7%	53	-1.5	.183/.256/.260	.077	.269	7	8	32%	8%	40	-1.1
✕Luis Perez 2013 · A	22	47	41→30	52→50	46	.226/.281/.335	.109	.269	8	10	19%	6%	70	-0.3	.220/.261/.335	.115	.296	10	7	28%	5%	62	-0.9	.217/.244/.347	.129	.299	11	2	31%	3%	54	-0.4
✕Franklin Torres 2019 · A	22	46→41	40	51→50	46	.222/.275/.314	.092	.276	8	8	22%	7%	63	-0.9	.210/.274/.294	.084	.302	6	5	30%	8%	57	-1.2	.193/.257/.264	.072	.295	5	1	34%	8%	40	-1.3
✕Blaze Alexander 2021 · A	22	45→48	42→50	51→50	43	.218/.284/.328	.110	.300	9	11	29%	7%	71	-0.3	.204/.275/.332	.128	.317	14	12	38%	7%	69	-0.4	.220/.308/.345	.126	.328	13	10	34%	8%	84	+0.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)