Jhonger Ochoa — OGILVIE

Jhonger OchoaSS DSL Tigers 1

Age 18 R/R 5'11" / 187 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 137 proj PA

wRC+†51

AVG/OBP/SLG.192 / .265 / .257

PA12

HR0

K%29

BB%7

ISO66

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$3M ctrl surplus

Tools · ContractCON 35 / POW 20

Toolsscout grade

CONTACT35

scouting grade only

POWER20

scouting grade only

EYE40

scouting grade only

SPEED60

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2034	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2035	Arb-1	$2M	+0.3	$0.6M	+$0.0M (cut)
2036	Arb-2	$3M	+0.2	$0.4M	+$0.0M (cut)
2037	Arb-3	$3M	+0.1	$0.2M	+$0.0M (cut)
Totals		$3M		$3M	+$0.7M

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.

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)
2025	17	ROK	DSL Tigers 1	—	164	133	33	7	0	0	18	39	11	14	4	248	383	301	683	53	344	24	11	324	106	+1	+1	—	—	+4	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Tigers 1	—	164	140	23	5	0	0	11	57	11	14	4	164	278	200	478	36	251	35	7	215	32	-13	+1	—	—	+4	-0.9
2025	17	ROK MLE	DSL Tigers 1	—	164	140	23	5	0	0	11	57	11	14	4	164	278	200	478	36	271	35	7	215	32	—	—	—	—	—	—
2025	17	ROK RAW	DSL Tigers 1	—	164	133	33	7	0	0	18	39	11	14	4	248	383	301	683	53	344	24	11	324	32	—	—	—	—	—	—
2025	17	ROK MLE	DSL Tigers 1	—	164	141	23	5	0	0	11	57	11	14	4	163	278	199	476	35	251	35	7	215	32	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Tigers 1	—	164	141	23	5	0	0	11	57	11	14	4	163	278	199	476	35	251	35	7	215	32	—	—	—	—	—	—
▸ 2026 season
2026	18	MLB MLE	DET	0%	12	11	2	0	0	0	1	3	0	0	0	182	250	182	432		274	25	8	244	51	-1	+0	+0	+0	+0	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	DET	34%	224	201	40	7	1	2	16	63	5	5	1	199	275	274	548	75	278	28	7	257	60	-11	+1	+0	+2	+5	-0.3
2028	20	MLB MLE	DET	48%	357	320	66	12	2	4	26	98	8	9	1	206	282	294	576	88	281	27	7	266	66	-14	+1	+0	+4	+8	-0.1
2029	21	MLB MLE	DET	54%	456	409	86	16	2	6	33	123	11	11	2	210	287	303	590	93	282	27	7	273	71	-16	+1	+0	+5	+10	0.0
2030	22	MLB MLE	DET	57%	526	470	101	18	3	8	39	140	12	13	2	215	292	317	609	102	283	27	7	276	73	-17	+2	+0	+6	+11	0.2
2031	23	MLB MLE	DET	58%	574	513	110	20	3	9	43	152	13	14	2	214	292	318	609	103	284	26	7	278	75	-17	+2	+0	+6	+12	0.3
2032	24	MLB MLE	DET	57%	605	541	117	21	3	10	45	160	14	15	3	216	293	322	615	105	285	26	7	280	76	-18	+2	+0	+6	+13	0.4
2033	25	MLB MLE	DET	61%	623	556	120	22	3	10	47	165	15	15	3	216	294	320	615	104	285	26	8	281	76	-18	+2	+0	+7	+13	0.4
2034	26	MLB MLE	DET	63%	631	564	122	22	3	11	47	167	15	16	3	216	294	324	618	108	285	26	7	281	77	-18	+2	+0	+7	+14	0.5
2035	27	MLB MLE	DET	64%	632	564	122	22	3	11	48	168	15	16	3	216	295	324	620	108	285	27	8	282	77	-18	+2	+0	+7	+14	0.5
2036	28	MLB MLE	DET	65%	627	559	120	22	3	10	48	167	15	15	3	215	294	318	613	104	284	27	8	281	76	-18	+2	-1	+7	+14	0.4
2037	29	MLB MLE	DET	65%	618	551	118	21	3	10	48	166	14	14	2	214	294	318	611	103	284	27	8	279	75	-18	+2	-1	+7	+13	0.2
2038	30	MLB MLE	DET	65%	607	541	114	20	3	9	47	165	14	14	2	211	291	309	599	98	283	27	8	276	73	-19	+2	-2	+7	+13	0.0
2027	19	MLB CTX	DET	34%	77	70	13	2	0	1	5	22	2	2	0	186	260	257	517	71	274	29	6	237	60	-4	+0	+0	+1	+2	-0.1
2028	20	MLB CTX	DET	48%	173	155	32	6	1	2	12	47	4	4	1	206	281	297	577	90	276	27	7	246	66	-7	+0	+0	+2	+4	-0.1
2029	21	MLB CTX	DET	54%	247	221	45	8	1	3	18	66	6	6	1	204	282	290	571	86	278	27	7	252	71	-9	+1	+0	+3	+5	0.0
2030	22	MLB CTX	DET	57%	298	267	56	10	2	4	22	79	7	7	1	210	287	307	594	97	279	27	7	255	73	-10	+1	+0	+3	+6	0.1
2031	23	MLB CTX	DET	58%	330	294	63	11	2	5	25	88	8	8	1	214	294	316	610	102	280	27	8	257	75	-10	+1	+0	+4	+7	0.2
2032	24	MLB CTX	DET	57%	345	308	66	12	2	5	26	91	8	9	1	214	292	315	607	101	280	26	8	259	76	-10	+1	+0	+4	+7	0.3
2033	25	MLB CTX	DET	61%	378	338	72	13	2	6	28	100	9	9	2	213	291	317	607	104	280	26	7	260	76	-11	+1	+0	+4	+8	0.3
2034	26	MLB CTX	DET	63%	395	353	74	13	2	6	30	105	9	10	2	210	288	309	597	99	280	27	8	260	77	-11	+1	+0	+4	+9	0.3
2035	27	MLB CTX	DET	64%	401	358	75	13	2	6	31	106	9	10	2	209	289	307	596	98	280	26	8	260	77	-11	+1	+0	+4	+9	0.3
2036	28	MLB CTX	DET	65%	408	364	77	14	2	6	31	109	10	10	2	212	291	310	602	99	280	27	8	259	76	-12	+1	-0	+4	+9	0.2
2037	29	MLB CTX	DET	65%	402	359	75	13	2	6	31	108	9	9	2	209	288	306	595	97	279	27	8	258	75	-12	+1	-1	+4	+9	0.1
2038	30	MLB CTX	DET	65%	395	352	74	13	2	6	31	107	9	9	2	210	291	310	600	99	278	27	8	255	73	-13	+1	-1	+4	+9	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3849	3439	722	128	20	56	290	1028	90	93	17	210	289	308	596	98	281	27	8	257	73	-118	+12	-3	+41	+83	1.6
/ 162G	—	A+C		—	650	581	121	22	3	9	49	174	15	16	3	208	287	303	590	95	279	27	8	257	73	-20	+2	-0	+7	+14	0.3
Career	—	MLE		—	6656	5940	1261	228	32	100	499	1794	162	171	31	212	291	312	603	100	285	27	7	276	73	-202	+21	-4	+70	+141	2.6
/ 162G	—	MLE		—	650	580	123	22	3	10	49	175	16	17	3	212	291	312	604	100	284	27	8	276	73	-20	+2	-0	+7	+14	0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#2Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#3Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#4Ronny 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
#5Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
#6Adam 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	6.0	3,985	62	96	214	289	316	+43	+24	4.0	3.7
/162	664	10	16	+7.1	+4.0	0.7	pk7: 3

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
Jhonger Ochoa (OGILVIE)	18	35	20	60	40	192/265/257	65	274	1	3	29%	7%	51	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Marco Soto 2022 · A	18	41	36→30	52→50	42	194/263/258	64	277	3	10	29%	6%	51	-2.3	201/256/257	56	270	2	8	25%	5%	47	-2.5	183/237/221	38	251	1	8	26%	5%	30	-0.9
✕Rafael Herrera 2019 · A	18	43	35→40	52→50	45	200/267/266	67	269	2	12	25%	7%	53	-2.1	218/286/298	80	291	4	12	24%	8%	68	-1.0	229/304/310	81	297	4	17	22%	9%	74	-0.2
✕Ronaldo Urdaneta 2017 · A	18	37	35→40	51→60	40	176/238/231	55	271	2	17	34%	7%	34	-3.5	204/268/282	78	293	5	21	30%	8%	57	-1.8	193/264/273	80	285	7	32	32%	8%	52	-0.7
✕Robedluis Fuentes 2008 · A	19	41	37→30	53→45	45	197/263/267	70	262	4	12	25%	7%	53	-2.1	230/290/284	54	281	3	7	18%	6%	65	-1.2	243/302/283	40	290	2	5	16%	6%	68	-0.4
✕Manuel Falcon 2008 · A	18	43	35→30	49→50	41	200/260/254	54	286	2	8	29%	6%	48	-2.5	227/283/274	47	287	1	10	20%	6%	61	-1.5	240/298/272	32	295	0	11	17%	6%	65	-0.5
✕Jesus Castillo 2022 · A	19	42→41	34→30	51→50	42	199/262/249	50	277	2	16	28%	6%	47	-2.5	210/309/255	45	289	1	19	25%	11%	68	-1.0	195/321/224	30	275	1	24	25%	14%	65	-0.5
✕Alexander Benua 2022 · A	18	36	35→40	54→55	39	170/242/230	60	260	2	13	33%	6%	36	-3.3	191/259/266	75	288	5	16	33%	6%	51	-2.3	185/255/265	80	288	6	17	35%	7%	48	-0.9
✕Alex Gonzalez 2009 · A	18	40	34→30	52→60	46	186/266/232	45	269	2	22	29%	8%	46	-2.6	202/266/250	48	293	1	18	29%	7%	49	-2.4	216/290/265	49	291	1	14	24%	8%	60	-0.6
✕Hidekel Abreu 2016 · A	18	42	36→40	49→50	45	199/266/263	64	280	3	8	28%	8%	52	-2.2	223/284/304	81	293	5	10	24%	7%	68	-1.0	237/299/317	80	300	6	12	21%	8%	72	-0.3
✕Victor Tademo 2018 · A	19	39	37→40	52→55	37	189/240/263	74	277	4	14	32%	5%	42	-2.9	195/241/256	61	285	3	7	31%	5%	40	-3.0	181/217/201	20	252	0	3	27%	4%	17	-1.4
✕Rafael P Valera 2013 · A	18	43	35→30	48→55	46	201/273/256	55	281	2	11	27%	8%	53	-2.1	207/290/260	53	271	1	14	22%	9%	61	-1.5	216/289/281	65	299	0	7	25%	8%	62	-0.4
✕Emmanuel Morel 2015 · A	18	42	36→30	51→55	41	199/261/262	63	278	3	9	28%	6%	50	-2.3	192/267/250	58	298	2	16	33%	9%	50	-2.3	173/256/219	46	280	0	22	34%	9%	37	-0.9
✕Yordany De Los Santos 2023 · A	18	42→40	36→45	51→60	46	196/275/269	73	281	3	13	29%	8%	57	-1.8	201/270/288	87	311	7	23	35%	7%	60	-1.6	204/257/327	123	302	13	35	35%	6%	61	-1.1
✕Richard Rodriguez 2012 · A	19	39	36→30	48→50	45	186/255/247	61	260	3	12	28%	8%	45	-2.7	210/266/251	41	261	1	14	19%	7%	49	-2.4	233/291/254	20	278	0	16	15%	7%	56	-0.6
✕Luis Andujar 2019 · A	19	42	37→40	53→50	38	197/250/268	71	300	4	9	34%	6%	47	-2.5	215/278/290	75	306	3	10	28%	7%	63	-1.4	221/291/292	71	306	2	12	26%	8%	68	-0.4
✕Luis Palacios 2007 · A	18	43	37→40	50	47	203/279/272	70	286	4	13	29%	8%	59	-1.6	204/261/283	79	271	5	7	25%	6%	55	-2.0	192/241/268	76	252	6	4	25%	5%	42	-1.0
✕Gilbert Gomez 2011 · A	19	40→37	37→40	54→50	44	191/258/270	80	263	4	18	28%	7%	51	-2.2	202/266/283	81	296	5	9	31%	7%	57	-1.8	194/265/261	67	295	4	7	33%	8%	48	-1.4
✕Juan Zabala 2017 · A	18	41	36→40	49→50	40	193/261/259	66	274	3	10	29%	6%	50	-2.3	185/266/247	62	249	2	7	24%	8%	50	-2.3	205/284/282	77	268	6	17	24%	8%	61	-0.6
✕Dennys Riera 2023 · A	18	35	39→40	50	36	173/231/260	87	272	7	6	37%	6%	38	-3.2	172/242/246	74	249	5	6	31%	6%	40	-3.0	183/266/258	74	252	5	7	27%	5%	53	-0.5
✕Jesus Morales 2016 · A	18	40	35→30	51→50	38	192/243/245	53	272	3	8	29%	5%	38	-3.2	202/248/248	46	269	1	9	24%	5%	41	-3.0	201/244/232	31	266	0	9	23%	4%	34	-1.1

Career Stats + Projections

Career Comps

Career Path Comps