J.D. Gonzalez — OGILVIE

J.D. GonzalezC Charleston RiverDogs

Age 20 L/R 6'0" / 182 lbs A HR +6%H +4% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION327 act + 10 ros · stats below = ROS only

showingROS

wRC+†28

AVG/OBP/SLG.100 / .100 / .100

PA10

HR0

K%30

BB%5

BABIP283

ISO43

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$9M ctrl surplus

Tools · ContractCON 25 / POW 36

Toolsscout grade

CONTACT25

scouting grade only

POWER36

scouting grade only

EYE45

scouting grade only

SPEED50

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Arb-1	$0.2M	—	—	—
2035	Arb-2	$5M	—	—	—
2036	Arb-3	$0.6M	—	—	—
Totals		$0.0M		$-1M	+$0.0M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

Year	Age	Lvl	Team	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2023	17	INTL	Gigantes de Carolina	—	17	15	3	0	0	0	2	10	0	0	0	200	294	200	494		600	59	12	242	50	-1	+0	—	—	+0	-0.1
2024	18	A	Charleston RiverDogs	—	288	242	39	6	0	1	34	95	4	1	0	161	275	198	473	37	248	33	12	227	40	-21	+0	—	—	+6	-1.4
2024	18	INTL	Gigantes de Carolina	—	24	20	2	1	0	0	4	8	0	0	0	100	250	150	400	50	167	33	17	207	27	-2	+0	—	—	+1	-0.2
2025	19	A	Charleston RiverDogs	—	104	98	17	1	0	0	6	27	0	0	0	173	221	184	405	10	239	26	6	192	16	-10	+0	—	—	+2	-0.8
2025	19	INTL	Gigantes de Carolina	—	41	36	5	0	0	0	3	13	1	0	0	139	225	139	364		217	32	7	179	8	-5	+0	—	—	+1	-0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	18	A MLE	Charleston RiverDogs	—	288	256	29	4	0	1	20	137	4	1	0	113	189	141	330	27	208	48	7	158	-7	-37	+0	—	—	+6	-3.1
2025	19	A MLE	Charleston RiverDogs	—	104	100	14	1	0	0	4	38	0	0	0	140	173	150	323	10	229	37	4	148	-14	-14	+0	—	—	+2	-1.2
2023	17	INTL MLE	Gigantes de Carolina	—	17	15	3	0	0	0	2	10	0	0	0	200	294	200	494		600	59	12	—	—	—	—	—	—	—	—
2023	17	INTL RAW	Gigantes de Carolina	—	17	15	3	0	0	0	2	10	0	0	0	200	294	200	494		600	59	12	242	50	—	—	—	—	—	—
2024	18	A MLE	2 teams	—	312	278	31	4	0	1	22	148	4	1	0	112	188	137	324	25	221	47	7	158	-7	—	—	—	—	—	—
2024	18	A RAW	2 teams	—	312	262	41	7	0	1	38	103	4	1	0	156	273	195	468	38	242	33	12	226	-7	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	145	138	20	1	0	0	5	53	1	0	0	145	181	152	333	7	235	37	3	148	-14	—	—	—	—	—	—
2025	19	A RAW	2 teams	—	145	134	22	1	0	0	9	40	1	0	0	164	222	172	394	7	234	28	6	188	-14	—	—	—	—	—	—
2024	18	A MLE	2 teams	—	312	283	31	4	0	1	22	148	4	1	0	110	188	134	322	25	208	47	7	158	-7	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	145	138	20	1	0	0	5	53	1	0	0	145	181	152	333	7	229	37	3	148	-14	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	18	A MLE	2 teams	—	312	283	31	4	0	1	22	148	4	1	0	110	188	134	322	25	208	47	7	158	-7	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	145	138	20	1	0	0	5	53	1	0	0	145	181	152	333	7	229	37	3	148	-14	—	—	—	—	—	—
YTD	20	A MLE	TB	—	327	307	64	9	0	2	13	100	0	7	1	208	241	257	498	49	298	31	4	219	34	-26	+1	+0	+6	+7	-1.2
▸ 2026 season
YTD	20	A RAW	TB	—	229	214	54	8	0	1	11	40	0	5	1	252	289	304	593	51	303	17	5	265	34	—	—	—	—	—	—
YTD	20	A+ RAW	TB	—	98	86	18	3	0	2	9	32	0	2	0	209	284	314	598	105	302	33	9	266	34	—	—	—	—	—	—
ROS	20	A MLE	TB	0%	10	10	1	0	0	0	0	3	0	0	0	100	100	100	200		276	30	0	210	28	-1	+0	+0	+0	+0	-0.0
TOT	20	A MLE	TB	—	337	317	65	9	0	2	13	103	0	7	1	205	236	252	489	47	293	31	4	219	34	-26	+1	+0	+6	+7	-1.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	TB	34%	333	310	61	9	1	4	18	104	2	5	1	197	245	271	516	74	277	31	5	232	43	-22	+1	+0	+6	+7	-0.9
2028	22	MLB MLE	TB	48%	426	397	81	12	1	7	24	128	2	7	1	204	253	292	545	88	279	30	6	247	53	-24	+1	+0	+8	+9	-0.6
2029	23	MLB MLE	TB	54%	481	447	94	15	1	9	28	141	3	8	1	210	262	309	570	98	281	29	6	256	59	-23	+1	+0	+9	+10	-0.3
2030	24	MLB MLE	TB	55%	515	476	101	16	1	10	31	149	3	9	2	212	265	313	578	101	282	29	6	261	63	-23	+1	+0	+9	+11	-0.2
2031	25	MLB MLE	TB	56%	520	480	103	16	1	11	32	150	3	9	2	215	268	321	589	106	282	29	6	263	64	-22	+1	+0	+9	+11	-0.1
2032	26	MLB MLE	TB	56%	520	480	102	16	1	11	32	150	3	10	2	212	266	319	585	106	282	29	6	263	64	-22	+1	+0	+9	+11	-0.0
2033	27	MLB MLE	TB	55%	520	479	102	16	1	11	33	150	3	10	2	213	268	319	587	106	282	29	6	263	64	-22	+1	+0	+9	+11	-0.0
2034	28	MLB MLE	TB	55%	520	479	102	16	1	11	33	151	3	9	2	213	268	319	587	106	281	29	6	262	64	-22	+1	-1	+9	+11	-0.2
2035	29	MLB MLE	TB	58%	520	479	101	15	1	11	33	152	3	9	2	211	266	315	581	104	280	29	6	260	62	-23	+1	-1	+9	+11	-0.3
2036	30	MLB MLE	TB	60%	515	474	99	15	1	10	33	152	3	9	2	209	265	308	573	99	279	30	6	258	60	-24	+1	-2	+9	+11	-0.5
2027	21	MLB CTX	TB	34%	114	106	21	3	0	1	6	36	1	2	0	198	248	255	503	57	285	32	5	234	43	-8	+0	+0	+2	+2	-0.3
2028	22	MLB CTX	TB	48%	206	191	39	6	0	3	12	62	1	3	1	204	255	283	538	79	287	30	6	249	53	-11	+0	+0	+4	+4	-0.3
2029	23	MLB CTX	TB	54%	261	242	52	8	1	5	15	76	2	4	1	215	266	318	585	103	289	29	6	258	59	-13	+0	+0	+5	+6	-0.2
2030	24	MLB CTX	TB	55%	285	264	58	9	1	6	17	82	2	5	1	220	272	330	602	110	290	29	6	263	63	-13	+1	+0	+5	+6	-0.1
2031	25	MLB CTX	TB	56%	291	269	59	9	1	6	18	84	2	5	1	219	273	327	600	108	290	29	6	264	64	-13	+1	+0	+5	+6	-0.0
2032	26	MLB CTX	TB	56%	292	270	59	9	1	6	18	84	2	5	1	219	272	326	598	107	290	29	6	265	64	-12	+1	+0	+5	+6	-0.0
2033	27	MLB CTX	TB	55%	288	266	58	9	1	6	18	83	2	5	1	218	273	327	600	109	289	29	6	265	64	-12	+1	+0	+5	+6	-0.0
2034	28	MLB CTX	TB	55%	285	263	57	9	1	6	18	83	2	5	1	217	272	327	599	110	289	29	6	264	64	-12	+1	-0	+5	+6	-0.1
2035	29	MLB CTX	TB	58%	302	278	59	9	0	6	19	88	2	5	1	212	268	309	577	97	288	29	6	262	62	-14	+1	-1	+5	+7	-0.2
2036	30	MLB CTX	TB	60%	310	285	61	10	0	6	20	91	2	5	1	214	270	312	583	98	287	29	6	259	60	-15	+1	-1	+6	+7	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2634	2434	523	81	6	51	161	769	18	44	9	215	269	316	585	101	290	29	6	260	54	-122	+5	-2	+47	+57	-1.5
/ 162G	—	A+C		—	650	601	129	20	1	13	40	190	4	11	2	215	268	316	584	101	289	29	6	260	54	-30	+1	-1	+12	+14	-0.4
Career	—	MLE		—	5354	4942	1001	151	10	96	326	1641	33	86	17	203	257	295	552	93	279	31	6	248	54	-230	+10	-4	+87	+106	-3.1
/ 162G	—	MLE		—	650	600	121	18	1	12	40	199	4	10	2	202	256	295	551	93	277	31	6	248	54	-31	+1	-1	+12	+14	-0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#2Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#3J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
#4Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.3	2,824	52	48	208	258	304	+50	+24	-0.6	0.1
/162	664	12	11	+11.9	+5.6	-0.1	pk7: 1
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -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
J.D. Gonzalez (OGILVIE)	20	20→25	31→36	45→50	45	184/225/229	45	276	1	3	33%	5%	28	-1.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Deivis Nadal 2022 · A	20	39	35→40	46→55	38	185/249/239	55	271	3	11	31%	5%	41	-3.0	170/249/254	84	310	6	18	43%	8%	45	-2.7	140/228/232	93	275	7	23	47%	9%	30	-1.5
✕Alfredo González 2012 · A	20	36	36→30	47→45	38	174/218/242	68	245	2	8	29%	5%	28	-3.9	194/246/266	72	256	4	10	25%	5%	45	-2.7	232/294/283	50	313	3	6	25%	7%	64	-0.5
✕Jefry Puente 2011 · A	19	34	34→45	49→50	42	165/238/215	50	261	2	9	35%	8%	32	-3.7	179/263/256	77	250	3	13	27%	9%	51	-2.3	160/256/245	84	217	2	18	25%	9%	44	-0.9
✕Robert Lopez 2023 · A	19	36	36→45	46→45	40	174/248/241	67	276	4	6	36%	7%	41	-3.0	195/256/281	86	295	7	4	34%	7%	53	-2.1	183/247/263	80	272	8	3	34%	7%	43	-1.1
✕Julio Garcia 2017 · A	20	36	34→40	52→40	34	175/212/226	51	267	2	12	34%	4%	22	-4.4	188/223/256	68	295	3	4	35%	4%	33	-3.6	171/203/232	61	276	3	2	38%	3%	18	-2.4
✕Yoel Romero 2017 · A	19	33	34→40	46→50	39	162/214/214	53	232	1	9	30%	5%	21	-4.4	217/277/287	70	279	4	12	22%	7%	61	-1.5	229/288/306	77	301	6	10	24%	7%	68	-0.4
✕Joan Mauricio 2017 · A	20	34	35→40	46→45	40	166/215/226	60	238	2	6	30%	6%	24	-4.2	186/249/245	59	255	4	5	26%	7%	42	-2.9	147/230/164	17	196	3	0	25%	9%	15	-1.3
✕Roberto Reyes 2009 · A	20	36	35→40	52→55	39	168/240/232	64	278	2	8	37%	7%	36	-3.4	188/254/272	84	309	5	11	38%	7%	50	-2.3	179/244/258	79	276	6	10	35%	7%	41	-1.1
✕Francisco Santana 2007 · A	19	35	35→50	49→55	38	172/227/228	56	258	3	6	33%	6%	29	-3.8	199/246/301	102	260	7	11	25%	5%	53	-2.1	188/226/302	114	244	8	12	26%	4%	43	-1.0
✕Alvaro Sosa 2007 · A	21	37	37→40	50→45	38	181/228/255	74	270	4	8	34%	6%	36	-3.4	196/241/269	73	261	3	8	25%	5%	44	-2.8	196/241/266	70	251	1	7	21%	5%	40	-0.9
✕Hector Hernandez 2015 · A	19	36	35→30	50→45	39	172/233/229	57	260	2	8	33%	6%	32	-3.7	188/259/249	61	277	2	8	30%	7%	47	-2.6	176/255/229	53	257	1	8	29%	8%	39	-1.1
✕Shane Mardirosian 2015 · A	19	37→40	35→40	47→45	42	176/238/240	64	244	2	9	27%	6%	36	-3.3	198/247/271	73	276	4	10	28%	5%	47	-2.6	196/246/267	70	274	4	9	28%	5%	43	-1.3
✕Juan Santander 2023 · A	20	35	36→40	49→50	37	171/230/232	61	271	3	8	36%	6%	32	-3.7	193/248/285	92	274	9	8	31%	6%	51	-2.3	181/235/274	93	245	12	9	31%	6%	41	-0.9
✕Justin Twine 2016 · A	20	35→32	38→40	48→50	29	176/206/253	77	258	5	7	34%	2%	26	-4.0	189/228/265	76	293	5	8	36%	3%	38	-3.2	214/250/302	88	318	6	14	33%	3%	53	-1.2
✕Nolan Perez 2019 · A	20	36	38→40	45→40	36	178/228/253	74	267	5	4	34%	5%	35	-3.4	191/230/273	82	324	6	5	41%	4%	40	-3.0	174/195/256	81	303	6	1	44%	2%	22	-1.3
✕Cristhian Vasquez 2017 · A	20	32	38→30	49→50	42	161/225/240	79	224	6	8	30%	7%	32	-3.7	195/251/268	73	259	4	9	25%	6%	47	-2.5	190/244/248	58	247	2	11	22%	5%	38	-1.4
✕David Berres 2008 · A	21	37	34→30	47→45	36	176/234/223	47	286	2	10	37%	6%	31	-3.7	208/278/264	56	288	3	7	26%	8%	57	-1.8	214/295/252	38	292	3	6	25%	10%	57	-1.0
✕Miguel Arrendell 2007 · A	19	40	37→30	45→50	39	186/256/255	70	294	4	6	36%	7%	47	-2.5	198/289/259	61	253	3	9	21%	10%	61	-1.5	193/300/246	54	245	3	12	20%	12%	61	-0.5
✕Omar Meregildo 2018 · A	20	36→33	37→45	47→30	38	174/239/249	74	275	4	6	36%	6%	39	-3.1	196/254/306	110	314	10	3	38%	7%	58	-1.7	173/241/298	125	280	15	1	41%	7%	50	-1.2
✕Omar Alfonzo 2023 · A	19	36→40	37→45	48→40	48	173/263/240	67	258	5	3	32%	10%	47	-2.5	205/289/309	104	317	11	4	35%	10%	72	-0.7	200/285/310	110	312	13	2	37%	10%	69	-0.6

Career Stats + Projections

Career Comps

Career Path Comps