Sharlisson De La Rosa

Sharlisson De La Rosa3B DSL Brewers Blue

Age 18 R/R 5'10" / 190 lbs ROK HR +10%K +6% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 76 proj PA

wRC+†73

AVG/OBP/SLG.218 / .287 / .318

PA6

HR0

K%24

BB%6

ISO101

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$25M 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	+0.7	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2035	Arb-1	$3M	+0.7	$1M	+$0.1M
2036	Arb-2	$5M	+0.6	$1M	+$0.0M (cut)
2037	Arb-3	$7M	+0.5	$0.9M	+$0.0M (cut)
Totals		$6M		$8M	+$4M

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 Brewers Blue	—	84	72	17	6	2	0	5	13	7	2	0	236	345	375	720	139	288	15	6	330	109	+1	+0	—	—	+2	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Brewers Blue	—	84	74	12	4	1	0	3	18	7	2	0	162	262	243	505	81	210	21	4	226	39	-6	+0	—	—	+2	-0.4
2025	17	ROK MLE	DSL Brewers Blue	—	84	74	12	4	1	0	3	18	7	2	0	162	262	243	505	81	214	21	4	226	39	—	—	—	—	—	—
2025	17	ROK RAW	DSL Brewers Blue	—	84	72	17	6	2	0	5	13	7	2	0	236	345	375	720	139	288	15	6	330	39	—	—	—	—	—	—
2025	17	ROK MLE	DSL Brewers Blue	—	84	74	12	4	1	0	3	18	7	2	0	162	262	243	505	81	210	21	4	226	39	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Brewers Blue	—	84	74	12	4	1	0	3	18	7	2	0	162	262	243	505	81	210	21	4	226	39	—	—	—	—	—	—
▸ 2026 season
2026	18	MLB MLE	MIL	0%	6	6	1	0	0	0	0	1	0	0	0	167	167	167	333		289	17	0	276	73	-0	+0	+0	+0	+0	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	MIL	34%	169	151	35	8	2	2	11	40	5	5	1	232	305	351	656	119	291	24	7	286	79	-4	+1	+0	+1	+4	0.1
2028	20	MLB MLE	MIL	48%	312	280	65	14	4	4	20	73	9	11	3	232	304	354	658	121	293	23	6	292	84	-6	+1	+0	+1	+7	0.3
2029	21	MLB MLE	MIL	54%	422	379	88	19	5	6	28	98	12	15	4	232	305	356	662	124	294	23	7	297	87	-6	+1	+0	+2	+9	0.6
2030	22	MLB MLE	MIL	57%	501	448	106	23	6	8	34	116	14	18	5	237	310	368	679	132	295	23	7	300	89	-6	+2	+0	+2	+11	0.8
2031	23	MLB MLE	MIL	58%	554	496	117	25	6	9	38	127	15	19	5	236	310	365	675	129	295	23	7	302	91	-6	+2	+0	+2	+12	1.0
2032	24	MLB MLE	MIL	57%	588	527	125	27	7	10	40	135	16	21	5	237	310	372	682	135	296	23	7	304	92	-6	+2	+0	+2	+13	1.2
2033	25	MLB MLE	MIL	57%	609	545	129	28	7	10	42	140	17	21	6	237	311	369	680	132	296	23	7	305	93	-5	+2	+0	+2	+13	1.2
2034	26	MLB MLE	MIL	57%	619	555	132	28	7	11	42	142	17	22	6	238	311	373	684	135	296	23	7	306	93	-5	+2	+0	+2	+13	1.3
2035	27	MLB MLE	MIL	55%	621	556	132	28	7	11	43	143	17	22	6	237	312	372	684	135	296	23	7	306	93	-5	+2	+0	+2	+13	1.3
2036	28	MLB MLE	MIL	55%	617	552	131	28	7	11	43	143	17	21	6	237	312	373	685	136	295	23	7	305	92	-6	+2	-1	+2	+13	1.1
2037	29	MLB MLE	MIL	53%	608	543	127	27	7	10	43	142	17	21	5	234	310	365	675	131	294	23	7	303	91	-6	+2	-1	+2	+13	1.0
2038	30	MLB MLE	MIL	53%	598	534	123	26	6	10	43	141	16	20	5	230	307	358	665	127	293	24	7	300	89	-8	+2	-2	+2	+13	0.7
2039	31	MLB MLE	MIL	52%	584	522	119	25	6	9	41	140	16	19	5	228	304	351	655	123	291	24	7	296	86	-10	+2	-3	+2	+13	0.4
2040	32	MLB MLE	MIL	56%	566	506	113	24	6	8	40	138	15	18	5	223	299	342	641	119	287	24	7	290	82	-12	+2	-4	+2	+12	0.0
2041	33	MLB MLE	MIL	59%	536	479	103	21	5	7	38	133	14	17	4	215	292	324	615	109	282	25	7	283	77	-14	+2	-4	+2	+12	-0.3
2027	19	MLB CTX	MIL	34%	58	52	13	3	1	1	4	14	2	2	0	250	328	404	731	154	289	24	7	265	79	-1	+0	+0	+0	+1	0.0
2028	20	MLB CTX	MIL	48%	151	136	32	7	2	2	10	35	4	5	1	235	307	360	667	125	291	23	7	272	84	-3	+1	+0	+1	+3	0.2
2029	21	MLB CTX	MIL	54%	229	206	47	10	3	3	15	53	6	8	2	228	300	350	649	121	292	23	7	277	87	-3	+1	+0	+1	+5	0.3
2030	22	MLB CTX	MIL	57%	284	255	60	13	3	5	19	66	8	10	3	235	309	369	677	133	293	23	7	280	89	-4	+1	+0	+1	+6	0.4
2031	23	MLB CTX	MIL	58%	319	285	67	14	4	5	22	73	9	11	3	235	310	365	675	130	293	23	7	282	91	-4	+1	+0	+1	+7	0.6
2032	24	MLB CTX	MIL	57%	335	300	71	15	4	6	23	77	9	12	3	237	310	373	684	137	294	23	7	284	92	-3	+1	+0	+1	+7	0.7
2033	25	MLB CTX	MIL	57%	345	309	73	15	4	6	24	79	9	12	3	236	310	369	679	133	294	23	7	285	93	-3	+1	+0	+1	+7	0.7
2034	26	MLB CTX	MIL	57%	350	313	74	16	4	6	24	80	10	12	3	236	311	371	682	134	294	23	7	286	93	-3	+1	+0	+1	+8	0.7
2035	27	MLB CTX	MIL	55%	345	308	72	15	4	6	24	79	10	12	3	234	310	367	677	133	294	23	7	286	93	-3	+1	+0	+1	+7	0.7
2036	28	MLB CTX	MIL	55%	339	303	71	15	4	6	24	78	9	12	3	234	310	370	679	135	293	23	7	285	92	-3	+1	-0	+1	+7	0.6
2037	29	MLB CTX	MIL	53%	325	290	68	14	4	6	23	76	9	11	3	234	311	372	683	138	292	23	7	283	91	-3	+1	-1	+1	+7	0.5
2038	30	MLB CTX	MIL	53%	315	281	65	14	3	5	22	74	9	11	3	231	308	356	664	125	291	23	7	280	89	-4	+1	-1	+1	+7	0.4
2039	31	MLB CTX	MIL	52%	305	272	62	13	3	5	22	73	8	10	3	228	305	353	658	125	289	24	7	275	86	-5	+1	-1	+1	+7	0.2
2040	32	MLB CTX	MIL	56%	318	284	63	13	3	5	22	77	9	10	3	222	298	342	640	120	285	24	7	270	82	-7	+1	-2	+1	+7	0.0
2041	33	MLB CTX	MIL	59%	316	283	60	12	3	4	22	78	8	10	3	212	288	318	606	106	281	25	7	263	77	-8	+1	-2	+1	+7	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4334	3877	898	189	49	71	300	1012	119	148	39	232	307	361	667	129	293	23	7	279	88	-58	+14	-8	+15	+94	5.9
/ 162G	—	A+C		—	650	581	134	28	7	11	45	152	18	22	6	231	306	360	666	129	291	23	7	279	88	-9	+2	-1	+2	+14	0.9
Career	—	MLE		—	7994	7153	1658	355	89	126	549	1870	224	272	71	232	307	359	666	127	295	23	7	299	88	-106	+26	-15	+28	+171	10.6
/ 162G	—	MLE		—	650	582	134	29	7	10	45	152	18	22	6	230	305	356	661	125	293	23	7	299	88	-9	+2	-1	+2	+14	0.9

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Drew Stubbslast yr '16 career totals — 8 seasons, 3,143 PA	4.7	3,143	92	161	244	314	394	+3	+16	12.2	12.3
/162	664	19	34	+0.6	+3.3	2.6	pk7: 12
#2Danny 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
#3Leonys Martinlast yr '19 career totals — 8 seasons, 2,784 PA	4.2	2,784	58	126	243	301	366	+10	+53	10.7	10.8
/162	664	14	30	+2.4	+12.6	2.5	pk7: 11
#4Cliff 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
#5Manuel Margotlast yr '24 career totals — 8 seasons, 3,154 PA	4.8	3,154	56	94	254	307	380	-5	+27	8.4	8.8
/162	664	12	20	-1.1	+5.6	1.8	pk7: 9
#6Gordon 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.6	4,410	69	151	233	304	360	+16	+4	9.1	7.6
/162	664	10	23	+2.4	+0.7	1.4	pk7: 6

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
Sharlisson De La Rosa (OGILVIE)	18	—	—	—	—	218/287/318	100	289	0	2	24%	6%	73	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ceddanne Rafaela 2019 · A	18	42→52	39→55	51→55	40	205/251/286	81	270	6	16	26%	5%	51	-2.2	205/253/316	111	261	11	14	25%	5%	59	-1.6	253/291/409	156	303	17	19	22%	4%	93	+0.8
●Moisés Sierra 2007 · A	18	42→52	39→50	52→50	42	203/266/292	89	271	6	13	26%	6%	59	-1.6	205/253/299	94	283	8	9	29%	4%	55	-1.9	249/315/369	120	307	12	15	22%	7%	92	+0.6
✕Eguy Rosario 2018 · A	18	44→52	36→55	54→55	42	206/263/284	78	291	2	20	28%	6%	55	-1.9	207/254/307	100	291	8	13	30%	5%	57	-1.8	224/286/367	142	294	14	21	28%	7%	82	-0.0
✕Gilberto Celestino 2017 · A	18	43→52	38→45	54→55	48	203/273/292	90	270	5	13	25%	8%	61	-1.5	209/261/295	86	283	6	11	27%	6%	57	-1.8	234/311/308	74	302	5	10	22%	9%	76	-0.2
●Jahmai Jones 2016 · A	18	42→50	38→50	50	42	202/259/282	79	273	5	16	27%	6%	54	-2.0	226/281/327	101	292	8	16	24%	6%	72	-0.7	248/345/422	173	324	16	18	26%	11%	114	+1.3
✕Jose Astudillo 2023 · A	19	44	37→45	54→55	47	208/265/283	75	252	3	14	19%	6%	56	-1.9	245/295/319	74	283	3	14	14%	5%	75	-0.5	286/329/371	85	315	6	22	11%	5%	96	+0.4
✕Andruw Monasterio 2015 · A	18	46→54	35→45	55	46	215/270/274	59	269	2	16	20%	6%	55	-1.9	205/258/265	60	261	2	11	21%	6%	49	-2.4	240/320/337	97	310	8	23	24%	9%	88	+0.3
✕Jose Monserrate 2023 · A	18	47	38→40	50	45	221/288/307	86	288	5	13	24%	7%	71	-0.8	215/291/282	67	299	3	21	26%	8%	66	-1.1	187/271/231	44	298	1	34	34%	9%	45	-0.6
●Jorge Bonifacio 2011 · A	18	47→51	37→50	51→45	42	215/274/302	86	311	3	11	30%	7%	63	-1.3	219/264/329	110	300	8	6	28%	5%	66	-1.1	239/305/392	153	311	17	3	28%	8%	94	+0.7
✕Juan Villavicencio 2023 · A	18	43→45	39→50	55	42	205/265/294	89	297	6	14	32%	7%	59	-1.7	186/260/273	87	276	6	12	32%	8%	53	-2.1	195/272/312	117	292	11	20	34%	9%	64	-0.5
✕Juan Lagares 2007 · A	18	42→52	40→45	53→50	41	203/261/302	99	285	6	11	30%	6%	59	-1.7	203/241/283	80	277	4	10	27%	4%	46	-2.6	268/308/373	106	324	7	13	19%	4%	89	+0.3
✕Derek Hill 2015 · A	19	41→51	40→55	55→60	47	200/269/291	91	259	7	13	25%	8%	60	-1.6	202/254/274	72	296	2	25	30%	6%	49	-2.4	242/294/410	167	331	20	27	32%	6%	94	+0.4
✕Adrián Sanchez 2009 · A	18	43→47	38→45	52→50	42	207/255/285	78	258	5	14	22%	5%	53	-2.1	224/255/301	77	272	5	11	19%	3%	55	-1.9	251/288/348	97	306	6	11	20%	4%	76	-0.2
●Danny Santana 2009 · A	18	44→54	38→55	58→55	43	206/259/297	91	278	3	14	26%	6%	56	-1.9	205/243/298	93	282	6	15	28%	4%	51	-2.3	240/285/441	201	301	25	22	29%	5%	97	+0.7
✕Oswald Peraza 2018 · A	18	45→52	35→45	53→60	44	210/279/276	66	274	1	11	22%	6%	60	-1.6	208/269/272	64	283	4	15	26%	6%	55	-1.9	225/284/355	130	284	16	30	26%	6%	77	-0.3
✕Leody Taveras 2017 · A	18	47→53	37→50	52→55	44	221/266/301	80	283	3	15	22%	6%	59	-1.6	216/259/294	78	280	5	13	23%	6%	55	-1.9	245/296/373	128	305	13	20	23%	7%	86	+0.3
✕Angel Aponte 2018 · A	18	43	40→45	53→55	42	206/274/301	94	284	6	13	28%	6%	64	-1.3	206/265/304	98	285	8	19	29%	6%	61	-1.5	204/264/295	91	289	8	25	30%	6%	57	-0.7
✕Ezequiel Tovar 2021 · A	19	45→49	37→55	49→50	43	209/275/287	78	306	4	12	31%	8%	61	-1.5	237/274/370	133	286	14	15	22%	4%	80	-0.2	245/282/403	158	315	17	11	27%	4%	89	+0.5
✕Franklin Rollin 2015 · A	19	45	36→45	53→55	40	210/279/281	71	264	2	15	20%	4%	62	-1.4	233/284/318	85	282	4	17	18%	4%	71	-0.8	235/277/326	91	285	5	20	19%	4%	67	-0.6
✕Arismendy Alcántara 2011 · A	19	44→49	39→55	57→55	44	210/262/301	91	273	5	14	24%	6%	59	-1.7	233/267/327	94	309	6	15	26%	4%	66	-1.1	234/276/378	144	307	14	25	28%	5%	80	-0.1

Career Stats + Projections

Career Comps

Career Path Comps