J.D. Gonzalez — OGILVIE

J.D. GonzalezC Bowling Green Hot Rods

Age 20 L/R 6'0" / 182 lbs A+ Svc 0.0 · Ctrl thru 2035 peak 1.9 · 2033

wRC+†40

AVG/OBP/SLG.183 / .252 / .284

PA121

HR2

K%36

BB%8

MLB%0%

Scouting · now → future

HIT

20↗25

PWR

30↗35

SPD

43↗48

EYE

43↗48

trajectory · 10 yrs

1.9peak

2032

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	+1.5	$14M	+$13M
2031	Arb-3	$0.9M	+1.7	$16M	+$15M
2032	Ext / FA-deal	$0.9M	+1.8	$17M	+$16M
2033	Ext / FA-deal	$4M	+1.9	$19M	+$15M
2034	Ext / FA-deal	$6M	+1.8	$18M	+$13M
2035	Ext / FA-deal	$7M	+1.6	$17M	+$9M
Totals		$19M		$100M	+$81M

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
2023	17	INTL	Gigantes de Carolina	17	15	3	0	0	0	2	10	0	0	0	.200	.294	.200	.494	.000	.600	59	12	—	—	—	—	+0	+0	—	—
2024	18	A	2 teams	312	278	30	4	0	1	22	149	4	1	0	.108	.184	.133	.317	.025	.215	48	7	.157	-22	-43	+0	+0	+6	+9	-2.9
2025	19	A	2 teams	145	138	20	1	0	0	5	53	1	0	0	.145	.181	.152	.333	.007	.235	37	3	.149	-28	-21	+0	+0	+3	+4	-1.5
▸ 2026 Season (actual · ROS · total)
2026	20	A+	Bowling Green Hot Rods	46	43	9	1	0	1	2	20	0	1	0	.209	.244	.302	.547	.093	.364	43	4	.224	30	-4	+0	+0	+1	+1	-0.1
ROS	20	MLB	TB	75	69	12	2	0	1	5	28	1	1	0	.174	.240	.246	.486	.072	.288	37	7	.246	47	-5	+0	+0	+1	+2	-0.1
TOT	20	MLB	TB	121	112	21	3	0	2	7	48	1	2	0	.188	.242	.268	.510	.080	.306	40	6	.238	40	-8	+0	+0	+2	+3	-0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	21	MLB 11%	TB	213	192	40	7	1	5	17	65	2	4	1	.208	.280	.333	.613	.125	.278	31	8	.271	65	-8	+0	+0	+4	+6	0.2
2028	22	MLB 28%	TB	335	300	63	11	1	8	29	99	3	7	1	.210	.286	.333	.619	.123	.279	30	9	.283	75	-10	+1	+0	+6	+9	0.7
2029	23	MLB 48%	TB	418	373	80	14	2	11	38	119	4	8	1	.214	.294	.351	.645	.137	.280	28	9	.290	80	-9	+1	+0	+7	+12	1.2
2030	24	MLB 63%	TB	473	421	92	16	2	13	44	133	5	9	2	.219	.300	.359	.659	.140	.281	28	9	.295	84	-8	+1	+0	+8	+13	1.5
2031	25	MLB 80%	TB	504	446	99	17	2	15	48	141	5	9	2	.222	.305	.370	.675	.148	.282	28	10	.299	87	-8	+1	+0	+9	+14	1.7
2032	26	MLB 94%	TB	520	460	100	17	2	15	50	145	5	9	2	.217	.301	.361	.662	.143	.282	28	10	.300	88	-7	+1	+0	+9	+15	1.8
2033	27	MLB	TB	520	459	100	17	2	15	51	146	5	9	1	.218	.303	.362	.665	.144	.282	28	10	.300	88	-7	+1	+0	+9	+15	1.9
2034	28	MLB	TB	520	459	100	17	2	15	51	147	5	9	1	.218	.303	.362	.665	.144	.282	28	10	.299	87	-8	+1	-1	+9	+15	1.8
2035	29	MLB	TB	520	458	100	17	2	15	52	148	5	8	1	.218	.305	.362	.667	.144	.281	28	10	.297	86	-8	+1	-1	+9	+15	1.6
2036	30	MLB	TB	512	451	96	16	2	14	51	148	5	8	0	.213	.300	.350	.650	.137	.279	29	10	.294	83	-10	+2	-2	+9	+15	1.4
2037	31	MLB	TB	484	428	90	15	2	13	48	142	5	7	0	.210	.297	.346	.643	.136	.278	29	10	.290	80	-11	+1	-3	+9	+14	1.0
2038	32	MLB	TB	452	400	84	14	2	12	45	135	4	6	0	.210	.296	.345	.641	.135	.276	30	10	.286	77	-12	+1	-4	+8	+13	0.7
2039	33	MLB	TB	411	364	73	12	1	10	40	125	4	5	0	.201	.287	.321	.608	.121	.274	30	10	.280	73	-13	+1	-4	+7	+12	0.3
2040	34	MLB	TB	357	316	62	10	1	8	35	112	3	5	0	.196	.282	.310	.593	.114	.273	31	10	.274	68	-13	+1	-5	+6	+10	-0.0
2041	35	MLB	TB	299	265	51	8	1	7	29	97	3	4	0	.192	.279	.309	.589	.117	.270	32	10	.266	62	-13	+1	-6	+5	+8	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			7087	6292	1295	215	25	178	662	2142	69	109	12	.206	.288	.333	.621	.127	.278	30	9	.281	73	-217	+17	-25	+127	+201	10.4
/ 162G	—			650	577	118	20	2	16	61	196	6	10	1	.205	.287	.329	.617	.125	.276	30	9	.281	73	-20	+2	-2	+12	+18	1.0

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	HR	BB	SO	HBP	SB	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2023	17	INTL	Gigantes de Carolina	17	15	3	0	0	2	10	0	0	.200	.294	.200	.494	.000	.600	59	12	.242	43	-1	+0	—	—	+0	-0.1
2024	18	A	Charleston RiverDogs	288	242	39	6	1	34	95	4	1	.161	.275	.198	.473	.037	.248	33	12	.227	32	-22	+0	—	—	+8	-1.4
2024	18	INTL	Gigantes de Carolina	24	20	2	1	0	4	8	0	0	.100	.250	.150	.400	.050	.167	33	17	.207	17	-2	+0	—	—	+1	-0.2
2025	19	A	Charleston RiverDogs	104	98	17	1	0	6	27	0	0	.173	.221	.184	.405	.010	.239	26	6	.192	5	-11	+0	—	—	+3	-0.8
2025	19	INTL	Gigantes de Carolina	41	36	5	0	0	3	13	1	0	.139	.225	.139	.364	.000	.217	32	7	.179	-5	-5	+0	—	—	+1	-0.4

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
J.D. Gonzalez (OGILVIE)	20	20→25	30→35	43→48	48	.183/.252/.284	.100	.281	2	2	36%	8%	47	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Carlos Rodriguez 2023 · A	20	38	40→45	47→45	45	.183/.271/.272	.089	.286	7	6	36%	10%	52	-1.6	.190/.265/.267	.077	.298	5	6	35%	9%	47	-1.9	.182/.268/.267	.085	.274	6	3	33%	10%	48	-0.6
✕Iverson Leonardo 2023 · A	21	37	44→50	49→50	40	.188/.259/.305	.117	.281	12	9	36%	7%	55	-1.4	.194/.278/.291	.097	.346	7	8	42%	9%	59	-1.1	.146/.273/.221	.075	.359	3	4	52%	12%	39	-0.5
✕Carlos Jimenez 2022 · A	19	39→41	42→50	53→55	44	.191/.270/.293	.102	.283	10	11	34%	8%	56	-1.3	.199/.283/.318	.119	.317	11	15	37%	9%	69	-0.4	.216/.296/.349	.133	.314	15	19	33%	9%	78	+0.1
✕Yohairo Cuevas 2023 · A	19	41→38	37→40	49→55	43	.188/.266/.261	.074	.308	4	9	37%	9%	46	-2.0	.191/.277/.276	.085	.308	5	14	36%	10%	55	-1.4	.187/.286/.266	.080	.296	4	18	34%	11%	55	-0.8
✕Carter Jensen 2023 · A	20	38→47	43→50	46→50	46	.188/.269/.299	.110	.273	10	7	33%	10%	58	-1.2	.198/.288/.331	.133	.275	13	9	30%	11%	74	-0.1	.206/.294/.357	.151	.275	17	10	30%	11%	81	+0.4
✕Jose Cordoba 2023 · A	20	37	40	44→55	39	.185/.250/.273	.088	.268	9	9	33%	6%	43	-2.2	.200/.257/.289	.089	.277	6	11	28%	6%	49	-1.8	.197/.256/.288	.091	.265	4	15	26%	6%	45	-0.8
✕Danyer Sanabria 2022 · A	20	35	41→45	46→45	33	.178/.217/.275	.097	.270	9	7	37%	4%	28	-3.2	.201/.248/.290	.089	.327	6	5	38%	6%	45	-2.1	.199/.244/.294	.095	.314	6	3	36%	5%	40	-0.8
✕Rudy van Heydoorn 2010 · A	21	33	41→45	41→50	41	.168/.252/.259	.091	.262	9	8	37%	8%	41	-2.3	.197/.275/.307	.110	.307	11	5	36%	9%	63	-0.9	.204/.303/.338	.134	.292	14	2	32%	11%	83	+0.2
✕Payton Henry 2018 · A	21	40→31	41→45	46→30	38	.191/.255/.294	.102	.304	8	4	38%	7%	50	-1.7	.187/.253/.289	.102	.316	10	2	41%	6%	48	-1.9	.246/.293/.382	.135	.322	19	1	29%	4%	83	+0.2
✕Vicmal De La Cruz 2014 · A	20	40	38→40	48→50	41	.194/.250/.274	.080	.270	5	6	29%	6%	42	-2.3	.184/.241/.255	.071	.277	3	6	33%	6%	33	-2.9	.147/.214/.205	.058	.225	0	6	32%	6%	7	-1.5
✕Herman Armas 2007 · A	20	41	40→45	47→50	41	.197/.264/.291	.093	.287	7	11	32%	6%	53	-1.5	.217/.285/.327	.110	.286	11	9	26%	7%	72	-0.2	.218/.293/.335	.117	.266	14	9	23%	8%	75	-0.0
✕Freizer Pedron 2006 · A	19	44	39→40	46→55	39	.209/.263/.293	.084	.303	7	12	32%	6%	52	-1.6	.221/.282/.295	.074	.295	3	15	24%	6%	61	-1.0	.240/.304/.313	.072	.307	1	23	20%	6%	72	-0.1
✕Alexander Mojica 2023 · A	20	35	42→45	47→40	40	.173/.252/.271	.099	.283	11	3	40%	8%	43	-2.2	.195/.277/.315	.120	.320	12	5	39%	9%	66	-0.6	.181/.278/.317	.136	.292	13	3	39%	10%	63	-0.3
✕Angel Ortiz 2022 · A	19	42→40	41→50	46→40	44	.207/.262/.297	.091	.272	9	9	27%	7%	53	-1.5	.205/.256/.301	.096	.278	8	7	27%	6%	51	-1.7	.210/.263/.325	.115	.276	10	3	27%	6%	59	-0.6
✕Francis Christy 2016 · A	20	38	42→40	49→45	39	.187/.252/.295	.107	.276	8	6	34%	6%	49	-1.8	.186/.236/.258	.072	.295	4	5	36%	6%	31	-3.0	.172/.215/.220	.048	.280	2	3	37%	5%	10	-1.9
✕Sandy Acevedo 2013 · A	20	41	40→45	50	40	.195/.267/.291	.097	.292	7	11	34%	7%	54	-1.4	.197/.266/.317	.120	.283	10	9	32%	7%	60	-1.0	.149/.220/.307	.158	.194	15	9	31%	7%	36	-0.7
✕Jose Meza 2023 · A	20	41→35	41→45	47→50	40	.199/.265/.295	.096	.286	9	10	32%	6%	55	-1.4	.204/.294/.305	.101	.301	9	8	32%	10%	70	-0.3	.186/.292/.283	.097	.277	9	10	33%	11%	63	-0.5
✕Randy Florentino 2022 · A	22	35	40→50	42→45	40	.174/.240/.257	.083	.272	8	5	37%	8%	33	-2.9	.189/.243/.277	.088	.263	9	6	30%	6%	40	-2.4	.183/.230/.260	.077	.238	8	4	26%	5%	28	-1.0
✕Isan Díaz 2015 · A	19	35→40	39→55	47→45	39	.173/.238/.262	.089	.274	6	8	37%	7%	34	-2.8	.207/.271/.341	.134	.298	13	8	33%	8%	69	-0.4	.204/.284/.367	.164	.263	21	5	30%	9%	75	+0.0
✕Daniel Vellojin 2019 · A	19	40	39→45	47→45	48	.192/.270/.277	.084	.265	6	7	28%	9%	52	-1.6	.212/.301/.309	.097	.270	7	8	22%	10%	74	-0.1	.195/.299/.312	.117	.259	12	6	27%	12%	71	-0.1

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)