Samuell Sanchez — OGILVIE

Samuell SanchezOF DSL Tigers 2

Age 20 L/L 5'11" / 165 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION184 act + 18 ros · stats below = ROS only

showingROS

wRC+†80

AVG/OBP/SLG.133 / .278 / .133

PA18

HR0

K%33

BB%11

BABIP275

ISO101

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 45 / POW 35

Toolsscout grade

CONTACT45

scouting grade only

POWER35

scouting grade only

EYE60

scouting grade only

SPEED55

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	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-1	$1M	—	—	—
2036	Arb-2	$0.7M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$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.

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	19	ROK	DSL Tigers 1	—	162	117	36	3	1	4	33	45	11	9	5	308	497	453	950	145	471	28	20	434	180	+15	-0	—	—	+4	1.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	19	ROK MLE	DSL Tigers 1	—	162	130	24	2	1	1	20	66	11	9	5	185	342	238	580	54	335	41	12	262	63	-7	-0	—	—	+4	-0.4
2025	19	ROK MLE	DSL Tigers 1	—	162	130	24	2	1	1	20	66	11	9	5	185	342	238	580	54	365	41	12	262	63	—	—	—	—	—	—
2025	19	ROK RAW	DSL Tigers 1	—	162	117	36	3	1	4	33	45	11	9	5	308	497	453	950	145	471	28	20	434	63	—	—	—	—	—	—
2025	19	ROK MLE	DSL Tigers 1	—	162	130	24	2	1	1	20	66	11	9	5	185	342	238	580	54	335	41	12	262	63	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	19	ROK MLE	DSL Tigers 1	—	162	130	24	2	1	1	20	66	11	9	5	185	342	238	580	54	335	41	12	262	63	—	—	—	—	—	—
YTD	20	ROK MLE	DET	—	184	145	24	3	3	5	26	69	12	13	5	166	339	331	670	166	264	38	14	301	90	-2	+1	+0	-1	+4	0.1
▸ 2026 season
YTD	20	ROK RAW	DET	—	184	128	32	5	4	7	42	48	12	13	5	250	470	516	986	266	338	26	23	435	90	—	—	—	—	—	—
ROS	20	ROK MLE	DET	0%	18	15	2	0	0	0	2	6	1	1	0	133	278	133	411		279	33	11	287	80	-0	+0	+0	-0	+0	0.0
TOT	20	ROK MLE	DET	—	202	160	26	3	3	5	28	75	13	14	5	163	333	312	646	150	259	37	14	300	89	-3	+1	+0	-1	+4	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	DET	34%	239	204	41	7	2	5	26	74	7	5	2	201	312	328	641	127	280	31	11	292	84	-5	+0	+0	-1	+5	-0.1
2028	22	MLB MLE	DET	48%	356	304	61	10	3	8	39	108	10	8	2	201	312	332	644	132	282	30	11	297	87	-6	+1	+0	-2	+8	0.1
2029	23	MLB MLE	DET	54%	433	372	77	13	4	10	47	129	11	10	3	207	314	344	658	137	283	30	11	300	89	-6	+1	+0	-3	+9	0.2
2030	24	MLB MLE	DET	55%	484	416	86	15	4	11	52	143	13	11	3	207	314	341	655	135	284	30	11	302	90	-5	+1	+0	-3	+10	0.3
2031	25	MLB MLE	DET	56%	513	440	93	16	5	12	55	151	13	11	3	211	317	352	669	141	284	29	11	303	91	-6	+1	+0	-3	+11	0.4
2032	26	MLB MLE	DET	56%	529	453	96	16	5	13	57	156	14	12	4	212	319	355	674	143	284	29	11	303	91	-6	+1	+0	-3	+11	0.4
2033	27	MLB MLE	DET	55%	534	457	96	16	5	13	58	158	14	12	4	210	318	352	670	142	284	30	11	303	91	-6	+1	+0	-3	+12	0.4
2034	28	MLB MLE	DET	55%	533	455	96	16	5	13	59	158	14	11	3	211	320	354	674	143	283	30	11	302	90	-6	+1	-1	-3	+12	0.3
2035	29	MLB MLE	DET	53%	525	448	92	16	4	12	58	157	14	11	3	205	315	339	655	134	282	30	11	300	89	-7	+1	-1	-3	+11	0.1
2036	30	MLB MLE	DET	53%	516	441	90	15	4	12	57	155	13	10	3	204	313	338	651	134	281	30	11	297	87	-8	+1	-2	-3	+11	-0.1
2027	21	MLB CTX	DET	34%	82	71	14	2	1	2	9	26	2	2	1	197	305	338	643	141	276	32	11	267	84	-2	+0	+0	-0	+2	-0.0
2028	22	MLB CTX	DET	48%	172	146	30	5	2	4	19	52	5	4	1	205	318	349	667	144	277	30	11	273	87	-3	+0	+0	-1	+4	0.0
2029	23	MLB CTX	DET	54%	235	202	41	7	2	5	25	70	6	5	2	203	309	332	641	129	279	30	11	276	89	-3	+0	+0	-1	+5	0.1
2030	24	MLB CTX	DET	55%	268	230	47	8	2	6	29	79	7	6	2	204	312	335	647	130	280	29	11	279	90	-3	+0	+0	-2	+6	0.2
2031	25	MLB CTX	DET	56%	287	247	51	8	3	7	31	84	7	6	2	206	312	348	660	142	280	29	11	279	91	-3	+0	+0	-2	+6	0.2
2032	26	MLB CTX	DET	56%	298	256	53	9	3	7	32	88	8	7	2	207	314	348	662	141	279	30	11	279	91	-3	+1	+0	-2	+6	0.2
2033	27	MLB CTX	DET	55%	295	253	53	9	3	7	32	87	8	6	2	209	317	352	669	142	279	29	11	279	91	-3	+0	+0	-2	+6	0.2
2034	28	MLB CTX	DET	55%	292	250	51	8	3	7	32	87	8	6	2	204	314	344	658	140	279	30	11	279	90	-3	+0	-0	-2	+6	0.1
2035	29	MLB CTX	DET	53%	280	240	48	8	2	6	31	84	7	6	2	200	309	325	634	125	278	30	11	277	89	-4	+0	-1	-2	+6	0.0
2036	30	MLB CTX	DET	53%	271	232	47	8	2	6	30	82	7	5	2	203	312	332	644	129	276	30	11	274	87	-4	+0	-1	-2	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2480	2127	435	72	23	57	270	739	65	53	18	205	313	340	653	136	282	30	11	277	89	-31	+3	-2	-15	+54	0.9
/ 162G	—	A+C		—	650	557	114	19	6	15	71	194	17	14	5	205	313	341	654	136	283	30	11	277	89	-8	+1	-1	-4	+14	0.2
Career	—	MLE		—	4842	4135	854	142	42	110	530	1461	135	111	35	207	316	341	657	134	287	30	11	299	89	-59	+8	-4	-28	+101	1.9
/ 162G	—	MLE		—	650	555	115	19	6	15	71	196	18	15	5	207	316	344	660	137	288	30	11	299	89	-8	+1	-1	-4	+14	0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#2Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#3Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
#4Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#5Guillermo 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.0	2,631	60	57	208	311	343	-16	+0	2.6	2.5
/162	664	15	14	-4.0	+0.0	0.7	pk7: 2
#6Nick 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

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
Samuell Sanchez (OGILVIE)	20	45	35	55	60	189/307/305	117	279	3	5	32%	11%	80	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Akil Baddoo 2019 · A	20	42→52	43→50	56→55	47	203/279/323	120	288	8	13	30%	9%	71	-0.8	213/282/343	130	314	11	16	33%	9%	76	-0.4	236/319/383	147	308	15	24	26%	11%	96	+0.7
✕Canaan Smith-Njigba 2019 · A	20	45→50	41→45	46→55	51	216/301/314	97	294	9	7	28%	10%	77	-0.3	232/302/345	113	325	10	11	29%	9%	84	+0.2	233/308/347	114	330	9	15	29%	10%	84	+0.1
✕Forrest Wall 2016 · A	20	47→55	42→45	57→70	46	225/280/336	111	286	8	18	24%	7%	74	-0.6	219/272/313	94	293	8	18	26%	6%	65	-1.2	253/326/354	101	349	8	50	27%	9%	92	+0.5
✕Ricardo Burgos 2007 · A	20	45	41→45	48→40	53	213/306/315	103	293	7	6	28%	11%	80	-0.2	215/288/333	118	309	11	5	31%	9%	77	-0.3	191/262/333	141	266	19	2	34%	8%	67	-0.3
✕Ramón Flores 2012 · A	20	45→55	40→45	50	46	218/274/310	92	277	7	8	24%	7%	65	-1.2	233/289/332	99	292	7	10	21%	7%	76	-0.4	248/322/344	96	296	8	8	18%	9%	88	+0.3
✕Hoy Park 2016 · A	20	40→49	41→45	47→55	46	196/269/296	99	264	8	11	28%	8%	61	-1.5	204/280/290	86	281	5	16	27%	8%	63	-1.3	228/317/324	96	297	8	17	24%	11%	83	+0.0
✕Jake Fox 2023 · A	20	45→41	39→40	54→50	49	210/298/303	92	292	6	15	28%	10%	74	-0.5	194/266/289	95	271	7	11	29%	9%	59	-1.7	192/278/283	91	261	5	13	26%	10%	60	-0.8
✕Rudy Martin Jr. 2016 · A	20	49	39→45	60→65	52	227/313/330	103	311	4	16	26%	10%	85	+0.2	205/272/294	89	330	6	26	36%	7%	61	-1.5	229/304/333	104	308	11	52	28%	9%	79	-0.1
✕Chandler Simpson 2023 · A	22	49→59	38→30	56→70	48	228/294/313	86	300	4	17	24%	8%	74	-0.5	270/314/320	50	311	1	59	13%	6%	82	-0.0	303/337/348	46	336	0	63	10%	5%	93	+0.8
✕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
✕Alek Thomas 2021 · A	21	50→54	42→50	48→50	43	238/291/351	112	318	9	10	27%	6%	81	-0.1	246/300/391	145	306	13	11	23%	6%	94	+0.9	245/298/391	146	296	14	11	21%	6%	91	+0.6
✕Dwight Smith Jr. 2014 · A	21	47→53	40→45	52→50	45	229/283/316	87	288	8	13	23%	6%	70	-0.8	239/293/345	106	290	8	10	19%	7%	80	-0.1	243/304/370	127	291	12	9	20%	7%	89	+0.4
✕Enmanuel Terrero 2023 · A	20	48	37→45	47→55	54	222/303/297	75	280	4	12	21%	10%	74	-0.5	206/279/302	96	327	9	15	36%	9%	66	-1.1	187/261/280	94	307	11	18	40%	8%	53	-0.8
✕Daniel Montesino 2023 · A	19	49	40→45	48→45	46	222/303/321	99	333	6	8	32%	9%	80	-0.2	201/267/274	73	313	3	9	34%	7%	55	-2.0	174/233/224	49	287	0	8	36%	6%	28	-1.1
✕Carlos Rodriguez 2023 · A	20	38	40→45	47→45	46	182/270/274	91	279	8	6	35%	10%	57	-1.8	191/265/269	78	298	5	6	34%	9%	53	-2.1	177/255/266	89	258	8	2	32%	9%	47	-1.0
✕Jorbit Vivas 2021 · A	20	46→55	37→45	49→50	46	217/288/299	82	276	3	11	21%	7%	70	-0.9	247/320/367	120	279	11	7	15%	7%	97	+1.1	244/324/361	117	272	11	9	14%	7%	95	+0.9
✕Alberto Rodriguez 2021 · A	20	43→52	39→45	52→50	43	208/260/292	85	279	6	14	27%	6%	56	-1.9	222/281/343	121	321	10	8	32%	7%	76	-0.4	219/279/346	127	314	10	7	32%	7%	73	-0.6
✕Eliezer Álvarez 2015 · A	20	43→53	40→45	54→55	44	206/262/313	106	260	6	11	22%	6%	61	-1.5	245/294/353	108	322	5	15	24%	6%	82	+0.0	254/307/365	110	342	6	19	26%	6%	89	+0.3
✕Iverson Leonardo 2022 · A	20	41	44→50	47→50	41	198/276/319	121	305	10	9	36%	8%	70	-0.9	189/268/291	102	310	9	8	39%	8%	61	-1.5	158/247/253	95	261	8	8	39%	9%	43	-0.7
✕Carlos Jimenez 2022 · A	19	38→41	42→50	53→55	44	186/268/288	102	275	10	11	34%	9%	60	-1.6	201/285/320	119	319	11	16	37%	10%	73	-0.6	220/298/374	155	300	18	18	31%	9%	87	+0.3

Career Stats + Projections

Career Comps

Career Path Comps