Sandy Sanchez — OGILVIE

Sandy SanchezSS DSL Cubs Blue

Age 21 S/R 5'10" / 150 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 66 proj PA

wRC+†64

AVG/OBP/SLG.206 / .275 / .296

PA5

HR0

K%28

BB%8

ISO91

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$11M 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	+0.4	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2034	Pre-Arb	$1.0M	+0.2	$0.4M	+$0.0M
2035	Arb-1	$1M	+0.2	$0.4M	+$0.0M (cut)
2036	Arb-2	$1M	—	—	—
2037	Arb-3	$0.6M	—	—	—
Totals		$3M		$2M	+$0.8M

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 Cubs Blue	—	123	106	26	2	2	0	14	22	1	11	4	245	339	302	641	57	310	18	11	294	85	-2	+1	—	—	+3	0.1
2023	18	ROK	DSL Cubs Red	—	118	101	23	5	2	0	16	26	0	7	1	228	333	317	650	89	303	22	14	299	89	-2	+1	—	—	+3	0.2
2024	19	ROK	DSL Cubs Blue	—	125	98	17	3	3	1	25	19	1	8	3	173	347	296	643	122	203	15	20	304	92	-1	+0	—	—	+3	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Cubs Blue	—	123	112	23	2	2	0	8	32	1	11	4	205	264	259	523	54	263	26	7	217	33	-10	+1	—	—	+3	-0.7
2023	18	ROK MLE	DSL Cubs Red	—	118	107	18	4	1	0	10	38	0	7	1	168	239	224	464	56	245	32	8	205	25	-11	+1	—	—	+3	-0.7
2024	19	ROK MLE	DSL Cubs Blue	—	125	107	13	2	2	1	16	28	1	8	3	121	242	206	448	84	157	22	13	216	32	-10	+0	—	—	+3	-0.7
2022	17	ROK MLE	DSL Cubs Blue	—	123	112	23	2	2	0	8	32	1	11	4	205	264	259	523	54	287	26	7	217	33	—	—	—	—	—	—
2022	17	ROK RAW	DSL Cubs Blue	—	123	106	26	2	2	0	14	22	1	11	4	245	339	302	641	57	310	18	11	294	33	—	—	—	—	—	—
2023	18	ROK MLE	DSL Cubs Red	—	118	107	18	4	1	0	10	38	0	7	1	168	239	224	464	56	257	32	8	205	25	—	—	—	—	—	—
2023	18	ROK RAW	DSL Cubs Red	—	118	101	23	5	2	0	16	26	0	7	1	228	333	317	650	89	303	22	14	299	25	—	—	—	—	—	—
2024	19	ROK MLE	DSL Cubs Blue	—	125	107	13	2	2	1	16	28	1	8	3	121	242	206	448	84	152	22	13	216	32	—	—	—	—	—	—
2024	19	ROK RAW	DSL Cubs Blue	—	125	98	17	3	3	1	25	19	1	8	3	173	347	296	643	122	203	15	20	304	32	—	—	—	—	—	—
2022	17	ROK MLE	DSL Cubs Blue	—	123	113	23	2	2	0	8	32	1	11	4	204	264	257	521	53	263	26	7	217	33	—	—	—	—	—	—
2023	18	ROK MLE	DSL Cubs Red	—	118	107	18	4	1	0	10	38	0	7	1	168	239	224	464	56	245	32	8	205	25	—	—	—	—	—	—
2024	19	ROK MLE	DSL Cubs Blue	—	125	107	13	2	2	1	16	28	1	8	3	121	242	206	448	84	157	22	13	216	32	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	DSL Cubs Red	—	118	107	18	4	1	0	10	38	0	7	1	168	239	224	464	56	245	32	8	205	25	—	—	—	—	—	—
2024	19	ROK MLE	DSL Cubs Blue	—	125	107	13	2	2	1	16	28	1	8	3	121	242	206	448	84	157	22	13	216	32	—	—	—	—	—	—
▸ 2026 season
2026	21	MLB MLE	CHC	0%	5	5	1	0	0	0	0	1	0	0	0	200	200	200	400		285	20	0	262	64	-0	+0	+0	+0	+0	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	CHC	34%	117	105	23	4	1	2	10	31	1	2	0	219	293	333	626	114	287	26	9	274	71	-4	+0	+0	+1	+3	0.0
2028	23	MLB MLE	CHC	48%	252	227	50	9	3	4	21	67	2	5	1	220	292	339	631	119	288	27	8	281	77	-7	+1	+0	+3	+5	0.2
2029	24	MLB MLE	CHC	53%	351	316	69	12	3	6	29	92	3	6	1	218	290	332	623	114	289	26	8	287	80	-8	+1	+0	+4	+8	0.4
2030	25	MLB MLE	CHC	55%	411	370	83	15	4	8	34	107	4	7	2	224	297	351	648	127	289	26	8	290	83	-9	+1	+0	+4	+9	0.5
2031	26	MLB MLE	CHC	56%	448	404	90	16	4	9	37	116	4	8	2	223	294	349	643	126	289	26	8	292	84	-9	+1	+0	+5	+10	0.7
2032	27	MLB MLE	CHC	55%	466	419	93	17	4	9	40	121	4	8	2	222	296	346	642	124	289	26	9	292	84	-9	+1	+0	+5	+10	0.7
2033	28	MLB MLE	CHC	55%	474	426	95	17	4	10	41	124	4	8	2	223	297	352	649	129	289	26	9	291	83	-10	+1	-1	+5	+10	0.6
2034	29	MLB MLE	CHC	53%	472	424	93	16	4	9	41	124	4	8	2	219	294	340	634	120	288	26	9	289	82	-10	+1	-1	+5	+10	0.5
2035	30	MLB MLE	CHC	53%	466	419	92	16	4	9	40	124	4	7	1	220	294	341	635	122	287	27	9	287	80	-11	+1	-2	+5	+10	0.3
2036	31	MLB MLE	CHC	56%	455	409	88	15	4	8	39	123	4	6	1	215	290	330	620	115	285	27	9	283	78	-12	+1	-3	+5	+10	0.1
2037	32	MLB MLE	CHC	59%	439	395	84	14	4	8	38	120	3	5	1	213	287	329	616	116	282	27	9	278	74	-14	+1	-4	+5	+10	-0.2
2027	22	MLB CTX	CHC	34%	40	37	7	1	0	1	3	11	0	1	0	189	250	297	547	108	290	28	8	270	71	-1	+0	+0	+0	+1	0.0
2028	23	MLB CTX	CHC	48%	122	110	24	4	1	2	10	32	1	2	0	218	289	327	617	109	291	26	8	277	77	-3	+0	+0	+1	+3	0.1
2029	24	MLB CTX	CHC	53%	185	166	37	7	2	3	15	48	2	3	1	223	295	343	638	120	292	26	8	282	80	-4	+0	+0	+2	+4	0.2
2030	25	MLB CTX	CHC	55%	225	202	45	8	2	4	19	58	2	4	1	223	296	342	638	119	293	26	8	285	83	-5	+0	+0	+2	+5	0.3
2031	26	MLB CTX	CHC	56%	249	224	51	9	3	5	21	65	2	4	1	228	300	362	661	134	292	26	8	287	84	-5	+0	+0	+3	+5	0.4
2032	27	MLB CTX	CHC	55%	256	230	52	9	3	5	22	67	2	5	1	226	299	357	656	130	292	26	9	287	84	-5	+1	+0	+3	+6	0.4
2033	28	MLB CTX	CHC	55%	259	233	52	9	3	5	22	68	2	4	1	223	296	352	648	129	292	26	8	286	83	-5	+0	-0	+3	+6	0.3
2034	29	MLB CTX	CHC	53%	252	226	51	9	3	5	22	66	2	4	1	226	300	358	658	133	291	26	9	285	82	-5	+0	-1	+3	+5	0.2
2035	30	MLB CTX	CHC	53%	245	220	49	9	3	4	21	65	2	4	1	223	296	345	642	123	290	27	9	282	80	-6	+0	-1	+3	+5	0.2
2036	31	MLB CTX	CHC	56%	257	231	51	9	3	5	22	69	2	3	1	221	294	351	645	130	288	27	9	278	78	-7	+0	-2	+3	+6	0.0
2037	32	MLB CTX	CHC	59%	260	234	51	9	3	4	22	71	2	3	1	218	291	333	624	115	285	27	8	273	74	-8	+0	-2	+3	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2350	2113	470	83	26	43	199	620	19	37	9	222	295	347	643	125	292	26	8	282	76	-55	+4	-6	+25	+51	2.0
/ 162G	—	A+C		—	650	584	130	23	7	12	55	171	5	10	2	223	295	348	642	125	292	26	8	282	76	-15	+1	-2	+7	+14	0.5
Career	—	MLE		—	4722	4245	915	159	44	83	404	1248	39	96	23	216	290	332	622	117	283	26	9	281	76	-102	+8	-10	+47	+94	3.7
/ 162G	—	MLE		—	650	584	126	22	6	11	56	172	5	13	3	216	290	330	620	115	285	26	9	281	76	-15	+1	-2	+7	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Gordon 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
#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
#3Yolmer 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
#4Chris 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
#5Adam 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 7 projected seasons	3.6	2,416	45	38	221	291	344	+26	+21	3.8	3.5
/162	664	12	11	+7.1	+5.8	1.1	pk7: 3
#6Ryan 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

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
Sandy Sanchez (OGILVIE)	21	—	—	—	—	206/275/296	90	285	1	1	28%	8%	64	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis Tejada 2014 · A	21	41→44	37→45	52→50	37	196/237/266	70	273	4	13	29%	4%	41	-3.0	210/253/297	87	278	7	9	26%	4%	54	-2.0	217/264/324	108	265	10	7	22%	5%	62	-0.7
✕Kyler Burke 2009 · A	21	36→46	37→45	49→45	38	176/237/244	68	281	5	6	37%	7%	37	-3.3	206/270/320	114	284	9	7	29%	7%	67	-1.1	199/266/316	117	271	9	6	28%	7%	63	-1.3
✕Corey Adamson 2013 · A	21	37→47	36→40	41→50	43	180/240/241	62	256	3	8	30%	7%	37	-3.3	221/286/314	93	299	6	16	26%	7%	71	-0.8	229/295/327	98	307	6	19	26%	7%	75	-0.3
✕Jimmy Paredes 2010 · A	21	44→54	37→45	51→55	39	209/245/285	76	260	4	8	21%	3%	49	-2.4	242/267/349	107	315	7	25	25%	3%	71	-0.8	251/280/375	124	344	12	15	30%	4%	80	-0.1
✕Abraham Toro 2017 · A	20	43→53	35→50	49→45	40	203/246/265	61	268	2	5	24%	4%	44	-2.8	210/275/343	133	263	13	5	25%	7%	74	-0.5	236/309/387	151	279	16	6	21%	8%	95	+0.8
✕Mike McDade 2008 · A	19	40→50	36→50	48→30	40	192/241/259	67	266	4	4	28%	6%	41	-3.0	198/239/301	103	294	10	2	35%	4%	50	-2.3	237/278/370	133	310	16	1	28%	4%	80	-0.1
✕Nick Pratto 2021 · A	22	37→45	42→55	49→50	33	179/230/279	100	307	10	13	43%	6%	42	-2.9	200/287/381	181	293	22	9	37%	10%	88	+0.5	194/287/372	178	283	22	7	37%	10%	85	+0.2
✕Juan Kelly 2013 · A	19	38→48	35→45	47→45	45	182/245/240	58	244	2	6	25%	7%	39	-3.1	201/274/271	70	258	4	8	22%	9%	57	-1.8	214/276/340	126	294	11	3	30%	7%	72	-0.6
✕Melky Mesa 2007 · A	20	36→44	40→50	45→55	34	178/225/267	89	288	7	6	39%	5%	37	-3.3	177/227/280	103	300	9	8	42%	5%	42	-2.9	207/264/356	149	293	17	21	34%	6%	71	-0.7
✕Erick Gonzalez 2011 · A	20	38	34→40	43→50	42	182/243/237	55	268	2	7	31%	7%	37	-3.3	210/295/284	74	272	3	10	22%	10%	68	-1.0	214/322/287	73	261	2	14	16%	13%	77	-0.1
✕Trenton Brooks 2017 · A	22	40→50	35→50	46→45	42	190/233/256	65	239	2	7	21%	5%	37	-3.3	209/264/301	92	264	6	3	22%	6%	59	-1.6	238/323/378	140	272	15	8	18%	10%	98	+0.9
✕Luis Pimentel 2009 · A	20	41	35→45	48→50	47	194/249/253	59	233	3	6	18%	6%	43	-2.8	216/269/306	90	253	8	7	17%	6%	63	-1.4	223/274/321	98	252	10	6	16%	5%	69	-0.3
✕Gabriel Moncada 2021 · A	19	42→41	35→45	45→40	41	197/248/259	62	276	3	6	28%	6%	44	-2.8	216/296/329	113	319	10	4	33%	9%	79	-0.2	206/289/334	128	301	13	2	33%	9%	75	-0.2
✕Amaurys Minier 2016 · A	20	35	42→50	42→40	35	176/236/273	98	291	10	3	41%	6%	44	-2.8	169/240/277	108	302	12	3	44%	8%	47	-2.6	120/203/238	118	199	16	0	47%	9%	22	-1.2
✕Enger Jimenez 2014 · A	19	34	41→40	47→50	35	176/222/272	96	262	8	9	35%	5%	37	-3.3	206/257/299	93	278	6	10	26%	5%	57	-1.8	216/268/312	96	280	5	12	23%	5%	61	-0.6
✕Josh Lester 2017 · A	23	40→42	39→55	50→40	35	192/237/273	81	293	6	7	36%	5%	43	-2.8	209/252/336	127	273	13	3	28%	5%	63	-1.3	198/252/356	158	254	20	1	30%	6%	68	-0.8
✕Luis Paz 2017 · A	21	38→33	40→45	51→40	36	187/231/286	99	279	7	6	35%	5%	43	-2.8	202/247/338	136	298	16	4	36%	5%	63	-1.4	186/231/335	149	258	21	1	36%	5%	53	-1.5
✕Dustin Peterson 2015 · A	20	38→48	39→45	42→45	33	189/224/271	82	275	6	3	33%	4%	37	-3.3	215/258/303	88	285	7	4	26%	5%	57	-1.8	231/275/338	107	290	12	2	24%	5%	70	-0.6
✕Ivan Mora 2014 · A	20	39	37→40	50→45	36	189/228/264	75	256	3	11	27%	3%	37	-3.3	202/242/273	71	286	3	9	29%	4%	44	-2.8	201/236/266	65	285	1	10	29%	3%	38	-0.9
✕Bralin Jackson 2015 · A	21	39→49	37→30	49→50	37	190/233/259	70	276	5	10	32%	5%	38	-3.2	213/258/278	65	301	4	9	29%	5%	51	-2.2	206/247/266	60	294	4	10	30%	5%	41	-1.6

Career Stats + Projections

Career Comps

Career Path Comps