Heison Sanchez — OGILVIE

Heison Sanchez3B DSL Tigers 2

Age 21 L/R 6'0" / 170 lbs ROK Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 46 proj PA

wRC+60

AVG/OBP/SLG.200 / .271 / .284

PA4

HR0

K%30

BB%8

ISO84

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$0M ctrl surplus

Tools · Contract

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	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.5M	+$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.

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)
2022	17	ROK	DSL Tigers 2	—	179	145	34	9	2	2	26	46	8	4	3	234	380	366	745	131	330	26	15	346	120	+4	-0	—	—	+4	0.8
2023	18	ROK	DSL Tigers 2	—	146	121	28	7	3	0	16	35	6	6	2	231	350	339	688	107	322	24	11	313	98	-0	+0	—	—	+3	0.3
2024	19	ROK	DSL Tigers 2	—	89	74	17	1	1	1	11	24	2	3	0	230	341	311	652	81	327	27	12	301	90	-1	+1	—	—	+2	0.1
2025	20	ROK	DSL Tigers 2	—	33	23	9	1	0	0	10	2	0	2	4	391	576	435	1.011	43	429	6	30	470	204	+4	-1	—	—	+1	0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Tigers 2	—	179	155	25	6	1	2	16	67	8	4	3	161	274	252	525	90	263	37	9	234	45	-12	-0	—	—	+4	-0.9
2023	18	ROK MLE	DSL Tigers 2	—	146	127	20	4	2	0	10	51	6	6	2	157	252	220	472	63	245	35	7	210	28	-12	+0	—	—	+3	-0.9
2024	19	ROK MLE	DSL Tigers 2	—	89	79	13	1	1	1	7	35	2	3	0	165	250	241	491	76	250	39	8	200	22	-8	+1	—	—	+2	-0.6
2025	20	ROK MLE	DSL Tigers 2	—	33	27	8	1	0	0	6	3	0	2	4	296	424	333	758	37	350	9	18	364	132	+1	-1	—	—	+1	0.1
2022	17	ROK MLE	DSL Tigers 2	—	179	155	25	6	1	2	16	67	8	4	3	161	274	252	525	90	267	37	9	234	45	—	—	—	—	—	—
2022	17	ROK RAW	DSL Tigers 2	—	179	145	34	9	2	2	26	46	8	4	3	234	380	366	745	131	330	26	15	346	45	—	—	—	—	—	—
2023	18	ROK MLE	DSL Tigers 2	—	146	127	20	4	2	0	10	51	6	6	2	157	252	220	472	63	260	35	7	210	28	—	—	—	—	—	—
2023	18	ROK RAW	DSL Tigers 2	—	146	121	28	7	3	0	16	35	6	6	2	231	350	339	688	107	322	24	11	313	28	—	—	—	—	—	—
2024	19	ROK MLE	DSL Tigers 2	—	89	79	13	1	1	1	7	35	2	3	0	165	250	241	491	76	279	39	8	200	22	—	—	—	—	—	—
2024	19	ROK RAW	DSL Tigers 2	—	89	74	17	1	1	1	11	24	2	3	0	230	341	311	652	81	327	27	12	301	22	—	—	—	—	—	—
2025	20	ROK MLE	DSL Tigers 2	—	33	27	8	1	0	0	6	3	0	2	4	296	424	333	758	37	333	9	18	364	132	—	—	—	—	—	—
2025	20	ROK RAW	DSL Tigers 2	—	33	23	9	1	0	0	10	2	0	2	4	391	576	435	1.011	43	429	6	30	470	132	—	—	—	—	—	—
2022	17	ROK MLE	DSL Tigers 2	—	179	153	25	6	1	2	16	67	8	4	3	163	274	255	529	92	263	37	9	234	45	—	—	—	—	—	—
2023	18	ROK MLE	DSL Tigers 2	—	146	129	20	4	2	0	10	51	6	6	2	155	252	217	469	62	245	35	7	210	28	—	—	—	—	—	—
2024	19	ROK MLE	DSL Tigers 2	—	89	80	13	1	1	1	7	35	2	3	0	163	250	237	487	75	250	39	8	200	22	—	—	—	—	—	—
2025	20	ROK MLE	DSL Tigers 2	—	33	27	8	1	0	0	6	3	0	2	4	296	424	333	758	37	350	9	18	364	132	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	DSL Tigers 2	—	146	129	20	4	2	0	10	51	6	6	2	155	252	217	469	62	245	35	7	210	28	—	—	—	—	—	—
2024	19	ROK MLE	DSL Tigers 2	—	89	80	13	1	1	1	7	35	2	3	0	163	250	237	487	75	250	39	8	200	22	—	—	—	—	—	—
2025	20	ROK MLE	DSL Tigers 2	—	33	27	8	1	0	0	6	3	0	2	4	296	424	333	758	37	350	9	18	364	132	—	—	—	—	—	—
▸ 2026 season
2026	21	MLB MLE	—	0%	4	4	1	0	0	0	0	1	0	0	0	250	250	250	500		287	25	0	256	60	-0	+0	+0	+0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	—	34%	131	118	25	4	1	2	10	38	2	2	1	212	285	314	598	102	288	29	8	269	68	-5	+0	+0	+0	+3	-0.2
2028	23	MLB MLE	—	48%	261	236	51	9	2	4	20	74	3	4	1	216	286	322	608	106	290	28	8	277	74	-8	+0	+0	+1	+6	-0.1
2029	24	MLB MLE	—	53%	356	320	71	12	3	7	28	99	5	5	1	222	295	344	638	122	291	28	8	283	78	-9	+1	+0	+1	+8	0.0
2030	25	MLB MLE	—	55%	413	372	81	14	3	8	33	114	5	6	2	218	290	336	626	118	291	28	8	286	80	-10	+0	+0	+1	+9	0.1
2031	26	MLB MLE	—	56%	448	403	89	15	3	10	36	124	6	7	2	221	294	347	642	127	291	28	8	288	81	-10	+1	+0	+2	+10	0.2
2032	27	MLB MLE	—	55%	465	418	91	15	3	10	38	129	6	7	2	218	292	340	632	122	291	28	8	288	81	-10	+1	+0	+2	+10	0.2
2033	28	MLB MLE	—	55%	472	424	93	16	3	10	39	131	6	7	2	219	294	342	636	123	290	28	8	287	80	-11	+1	-1	+2	+10	0.1
2034	29	MLB MLE	—	58%	469	421	91	15	3	10	39	131	6	6	2	216	292	337	629	121	289	28	8	285	79	-12	+0	-1	+2	+10	-0.1
2027	22	MLB CTX	—	34%	45	41	8	1	0	1	3	13	1	1	0	195	267	293	559	98	288	29	7	269	68	-2	+0	+0	+0	+1	-0.0
2028	23	MLB CTX	—	48%	126	113	24	4	1	2	10	36	2	2	1	212	288	319	607	106	290	29	8	277	74	-4	+0	+0	+0	+3	-0.1
2029	24	MLB CTX	—	53%	188	169	37	6	1	4	15	52	2	3	1	219	290	337	628	118	291	28	8	283	78	-5	+0	+0	+1	+4	-0.0
2030	25	MLB CTX	—	55%	226	203	46	8	2	5	18	62	3	3	1	227	299	360	659	133	291	27	8	286	80	-5	+0	+0	+1	+5	0.1
2031	26	MLB CTX	—	56%	249	224	49	8	2	5	20	69	3	4	1	219	291	339	631	121	291	28	8	288	81	-6	+0	+0	+1	+5	0.1
2032	27	MLB CTX	—	55%	256	230	50	8	2	5	21	71	3	4	1	217	291	335	626	117	291	28	8	288	81	-6	+0	+0	+1	+6	0.1
2033	28	MLB CTX	—	55%	258	232	50	8	2	5	21	72	3	4	1	216	289	332	621	116	290	28	8	287	80	-6	+0	-0	+1	+6	0.1
2034	29	MLB CTX	—	58%	272	245	54	9	2	6	22	76	3	4	1	220	293	347	640	127	289	28	8	285	79	-7	+0	-1	+1	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1620	1457	318	52	12	33	130	451	20	25	7	218	291	338	630	120	291	28	8	285	74	-40	+2	-1	+6	+35	0.2
/ 162G	—	A+C		—	650	585	128	21	5	13	52	181	8	10	3	219	291	338	630	120	292	28	8	285	74	-16	+1	-0	+2	+14	0.1
Career	—	MLE		—	3466	3104	659	112	25	64	282	997	55	59	22	212	289	326	616	114	289	29	8	278	74	-76	+4	-2	+11	+65	0.2
/ 162G	—	MLE		—	650	582	124	21	5	12	53	187	10	11	4	213	290	328	618	115	290	29	8	278	74	-16	+1	-0	+2	+14	0.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
#2Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#3Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#4Ryan 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 5 projected seasons	2.5	1,666	33	25	219	289	340	+6	+2	1.2	1.3
/162	664	13	10	+2.4	+1.0	0.5	pk7: 1
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	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
Heison Sanchez (OGILVIE)	21	—	—	—	—	200/271/284	84	287	0	1	30%	8%	60	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Parker Meadows 2021 · A	21	39→47	41→55	46→55	42	195/250/286	91	268	9	9	30%	6%	51	-2.2	201/262/331	130	269	14	13	29%	7%	67	-1.1	222/289/387	165	276	18	21	26%	8%	87	+0.4
✕Addison Barger 2021 · A	21	41→45	39→55	49→45	44	198/267/288	90	270	6	5	28%	7%	59	-1.7	212/274/363	151	314	18	7	36%	7%	79	-0.2	218/289/380	162	269	18	6	25%	8%	85	+0.2
✕Victor Mesa Jr. 2023 · A	21	43→44	39→55	49→50	43	209/262/300	92	280	6	8	27%	6%	59	-1.7	212/262/331	119	273	12	10	26%	6%	66	-1.1	228/287/392	163	266	21	11	23%	7%	87	+0.2
✕Leandro Pineda 2023 · A	21	36→46	39→45	47→45	42	172/250/266	94	272	5	6	36%	8%	48	-2.5	200/267/315	115	279	11	6	30%	7%	65	-1.2	210/283/339	129	268	13	5	26%	7%	74	-0.4
✕Christopher Familia 2022 · A	22	42	38→55	47→45	43	200/270/287	86	279	5	10	28%	7%	59	-1.6	215/282/373	158	275	20	5	29%	7%	84	+0.2	208/273/389	181	258	25	2	30%	6%	81	-0.0
✕Joe Rizzo 2019 · A	21	43→48	38→50	47→40	41	205/258/277	72	292	6	5	31%	6%	52	-2.2	223/269/328	105	291	11	4	26%	5%	68	-1.0	232/279/362	130	287	16	2	25%	6%	77	-0.3
✕Imanol Vargas 2019 · A	21	42→43	40→50	45	51	200/293/295	95	288	7	9	30%	11%	71	-0.8	206/284/345	139	314	15	7	36%	9%	78	-0.3	204/288/352	148	322	17	2	39%	10%	80	-0.1
✕Anthony Seigler 2021 · A	22	42→39	37→45	49→55	47	200/278/275	74	283	5	6	29%	9%	60	-1.6	192/289/299	107	272	9	9	30%	11%	70	-0.8	219/309/345	126	268	10	25	21%	11%	85	+0.2
✕Tirso Ornelas 2021 · A	21	39→49	37→50	51→45	43	189/251/258	69	273	4	6	31%	8%	45	-2.7	225/286/328	103	301	8	6	26%	7%	74	-0.5	249/307/375	126	306	13	7	22%	7%	91	+0.6
✕Luis Valenzuela 2015 · A	21	41	37→45	55→45	39	197/236/272	76	265	4	7	27%	5%	42	-2.9	244/270/336	92	305	5	7	21%	3%	69	-0.9	262/284/362	100	318	5	7	19%	2%	77	-0.1
✕Ashton McGee 2021 · A	22	41	39→45	50→40	41	194/258/283	89	288	5	5	33%	7%	54	-2.0	201/288/312	111	366	10	4	43%	10%	72	-0.7	185/281/295	109	345	11	2	44%	11%	63	-0.7
✕Luis Liberato 2016 · A	20	37→47	37→50	53→50	41	180/242/256	76	270	4	13	33%	7%	42	-2.9	209/260/327	118	304	9	6	32%	7%	64	-1.3	213/280/360	147	293	15	9	31%	8%	79	-0.1
✕Rubel Cespedes 2022 · A	21	34→44	39→45	49→40	36	170/224/255	85	264	7	6	37%	6%	34	-3.5	213/264/317	104	303	10	4	31%	6%	64	-1.3	217/269/325	108	297	11	3	29%	6%	64	-0.9
✕Daniel Schneemann 2019 · A	22	38→48	40→50	50	43	185/251/280	94	271	8	6	33%	8%	51	-2.3	211/270/297	86	293	7	9	28%	7%	61	-1.5	223/303/368	144	295	14	13	28%	10%	87	+0.3
✕LeVon Washington 2012 · A	21	43	38→45	51→50	44	199/273/280	81	308	5	13	35%	9%	59	-1.7	234/307/336	102	347	7	13	31%	9%	84	+0.2	245/313/363	118	342	8	12	28%	8%	89	+0.2
✕Ricardo Méndez 2021 · A	21	44	39→45	54→50	40	207/265/294	88	309	7	13	34%	7%	59	-1.7	216/259/313	97	318	7	13	32%	5%	61	-1.5	212/254/305	93	308	6	14	32%	5%	53	-1.2
✕Iverson Leonardo 2023 · A	21	37	44→50	49→50	40	187/257/301	114	274	12	9	35%	7%	58	-1.7	198/280/293	95	349	7	8	41%	9%	65	-1.2	152/277/229	77	359	3	4	50%	12%	49	-0.5
✕Juan Silva 2012 · A	21	42→46	40→45	46→55	42	200/264/291	90	303	7	7	34%	8%	57	-1.8	223/299/326	103	313	8	21	29%	9%	79	-0.2	229/311/332	104	311	8	29	27%	10%	83	+0.1
✕Thomas Milone 2016 · A	21	44→45	36→45	50→55	40	207/255/274	67	284	3	14	28%	5%	49	-2.4	200/255/273	73	290	3	12	30%	6%	50	-2.3	237/293/354	117	331	7	17	29%	6%	79	-0.1
✕Travis Swaggerty 2019 · A	21	39→44	41→45	50→55	40	191/251/289	98	279	8	7	33%	6%	53	-2.1	209/274/308	99	298	9	15	31%	8%	65	-1.2	205/273/301	96	300	7	19	32%	8%	60	-1.0

Career Stats + Projections

Career Comps

Career Path Comps