Samil De La Rosa

Samil De La Rosa3B DSL Braves

Age 22 R/R 5'8" / 175 lbs ROK Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 70 proj PA

wRC+†62

AVG/OBP/SLG.205 / .275 / .288

PA6

HR0

K%28

BB%7

ISO84

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M 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	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
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		$-0.7M	+$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)
2021	17	ROK	DSL Cardinals Red	—	149	125	36	8	3	1	14	28	9	2	2	288	399	424	823	136	361	19	9	371	137	+7	-0	—	—	+3	1.0
2022	18	ROK	FCL Cardinals	—	165	141	34	9	1	6	13	33	10	3	4	241	348	447	794	206	272	20	8	354	126	+5	-1	—	—	+4	0.8
2023	19	ROK	FCL Cardinals	—	72	56	14	2	0	1	10	12	5	2	1	250	408	339	748	89	295	17	14	351	124	+2	+0	—	—	+2	0.4
2024	20	ROK	DSL Braves	—	141	119	23	3	0	2	15	28	5	10	3	193	309	269	578	76	233	20	11	273	71	-5	+1	—	—	+3	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Cardinals Red	—	149	130	27	5	2	1	9	41	9	2	2	208	304	300	604	92	285	28	6	263	64	-6	-0	—	—	+3	-0.4
2022	18	ROK MLE	FCL Cardinals	—	165	146	25	6	1	4	8	47	10	3	4	171	262	308	570	137	207	28	5	241	49	-10	-1	—	—	+4	-0.8
2023	19	ROK MLE	FCL Cardinals	—	72	60	11	1	0	1	6	17	5	2	1	183	310	250	560	67	236	24	8	259	61	-3	+0	—	—	+2	-0.2
2024	20	ROK MLE	DSL Braves	—	141	125	18	2	0	2	9	39	5	10	3	144	230	208	438	64	187	28	6	199	21	-13	+1	—	—	+3	-1.0
2021	17	ROK MLE	DSL Cardinals Red	—	149	130	27	5	2	1	9	41	9	2	2	208	304	300	604	92	292	28	6	263	64	—	—	—	—	—	—
2021	17	ROK RAW	DSL Cardinals Red	—	149	125	36	8	3	1	14	28	9	2	2	288	399	424	823	136	361	19	9	371	64	—	—	—	—	—	—
2022	18	ROK MLE	FCL Cardinals	—	165	146	25	6	1	4	8	47	10	3	4	171	262	308	570	137	219	28	5	241	49	—	—	—	—	—	—
2022	18	ROK RAW	FCL Cardinals	—	165	141	34	9	1	6	13	33	10	3	4	241	348	447	794	206	272	20	8	354	49	—	—	—	—	—	—
2023	19	ROK MLE	FCL Cardinals	—	72	60	11	1	0	1	6	17	5	2	1	183	310	250	560	67	233	24	8	259	61	—	—	—	—	—	—
2023	19	ROK RAW	FCL Cardinals	—	72	56	14	2	0	1	10	12	5	2	1	250	408	339	748	89	295	17	14	351	61	—	—	—	—	—	—
2024	20	ROK MLE	DSL Braves	—	141	125	18	2	0	2	9	39	5	10	3	144	230	208	438	64	188	28	6	199	21	—	—	—	—	—	—
2024	20	ROK RAW	DSL Braves	—	141	119	23	3	0	2	15	28	5	10	3	193	309	269	578	76	233	20	11	273	21	—	—	—	—	—	—
2021	17	ROK MLE	DSL Cardinals Red	—	149	130	27	5	2	1	9	41	9	2	2	208	304	300	604	92	285	28	6	263	64	—	—	—	—	—	—
2022	18	ROK MLE	FCL Cardinals	—	165	146	25	6	1	4	8	47	10	3	4	171	262	308	570	137	207	28	5	241	49	—	—	—	—	—	—
2023	19	ROK MLE	FCL Cardinals	—	72	61	11	1	0	1	6	17	5	2	1	180	310	246	556	66	236	24	8	259	61	—	—	—	—	—	—
2024	20	ROK MLE	DSL Braves	—	141	126	18	2	0	2	9	39	5	10	3	143	230	206	437	63	187	28	6	199	21	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	FCL Cardinals	—	72	61	11	1	0	1	6	17	5	2	1	180	310	246	556	66	236	24	8	259	61	—	—	—	—	—	—
2024	20	ROK MLE	DSL Braves	—	141	126	18	2	0	2	9	39	5	10	3	143	230	206	437	63	187	28	6	199	21	—	—	—	—	—	—
▸ 2026 season
2026	22	MLB MLE	ATL	0%	6	6	1	0	0	0	0	2	0	0	0	167	167	167	333		284	33	0	261	62	-0	+0	+0	+0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	ATL	34%	111	100	22	3	1	2	8	31	2	2	0	220	291	330	621	110	286	28	7	271	70	-4	+0	+0	+0	+2	-0.1
2028	24	MLB MLE	ATL	46%	242	218	47	8	1	4	18	66	4	4	1	216	287	317	604	101	287	27	7	278	75	-7	+0	+0	+1	+5	-0.1
2029	25	MLB MLE	ATL	52%	328	295	65	11	2	6	25	88	5	6	1	220	292	332	625	112	288	27	8	283	78	-9	+1	+0	+1	+7	0.0
2030	26	MLB MLE	ATL	54%	384	346	77	13	2	8	29	103	6	7	1	223	294	341	635	118	288	27	8	285	79	-9	+1	+0	+1	+8	0.1
2031	27	MLB MLE	ATL	54%	414	372	81	13	2	8	32	111	7	7	2	218	292	328	620	110	288	27	8	285	79	-10	+1	+0	+1	+9	0.1
2032	28	MLB MLE	ATL	54%	429	385	85	14	2	9	34	116	7	7	2	221	296	338	633	117	287	27	8	284	79	-11	+1	-1	+2	+9	-0.0
2033	29	MLB MLE	ATL	53%	431	387	85	14	2	9	34	117	7	7	1	220	294	336	630	116	286	27	8	282	77	-12	+1	-1	+2	+9	-0.1
2034	30	MLB MLE	ATL	57%	429	385	82	13	2	8	34	118	7	6	1	213	289	319	608	106	284	28	8	279	75	-13	+1	-2	+2	+9	-0.3
2027	23	MLB CTX	ATL	34%	38	34	7	1	0	1	3	11	1	1	0	206	289	324	613	118	286	29	8	259	70	-1	+0	+0	+0	+1	-0.0
2028	24	MLB CTX	ATL	46%	112	101	23	4	1	2	8	30	2	2	0	228	297	347	644	119	287	27	7	266	75	-3	+0	+0	+0	+2	-0.0
2029	25	MLB CTX	ATL	52%	169	151	33	5	1	3	13	45	3	3	1	219	293	325	618	106	288	27	8	271	78	-4	+0	+0	+1	+4	-0.0
2030	26	MLB CTX	ATL	54%	208	187	41	7	1	4	16	56	3	4	1	219	291	332	623	112	288	27	8	274	79	-5	+0	+0	+1	+5	0.1
2031	27	MLB CTX	ATL	54%	225	202	44	7	1	5	17	60	4	4	1	218	291	337	628	119	288	27	8	274	79	-6	+0	+0	+1	+5	0.1
2032	28	MLB CTX	ATL	54%	233	209	45	7	1	5	18	63	4	4	1	215	290	330	620	115	287	27	8	273	79	-6	+0	-0	+1	+5	-0.0
2033	29	MLB CTX	ATL	53%	229	205	45	7	1	5	18	62	4	4	1	220	295	337	632	117	286	27	8	271	77	-6	+0	-1	+1	+5	-0.1
2034	30	MLB CTX	ATL	57%	244	219	48	8	1	5	19	67	4	3	1	219	293	333	627	114	284	27	8	268	75	-7	+0	-1	+1	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1458	1308	286	46	7	30	112	394	25	25	6	219	293	333	626	115	287	27	8	271	72	-39	+3	-2	+5	+32	-0.2
/ 162G	—	A+C		—	650	583	128	21	3	13	50	176	11	11	3	220	293	333	626	113	290	27	8	271	72	-17	+1	-1	+2	+14	-0.1
Career	—	MLE		—	3301	2955	626	103	17	62	246	896	74	63	19	212	289	321	610	109	280	27	7	275	72	-75	+6	-4	+10	+60	-0.4
/ 162G	—	MLE		—	650	582	122	20	3	12	48	176	15	12	4	210	287	316	603	107	276	27	7	275	72	-18	+1	-1	+2	+14	-0.1

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
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.3	1,527	30	25	219	289	331	+5	+2	0.8	0.8
/162	664	13	11	+2.4	+1.1	0.3	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
Samil De La Rosa (OGILVIE)	22	—	—	—	—	205/275/288	84	284	1	1	28%	7%	62	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Francisco Acuna 2022 · A	22	38→48	39→45	48→50	45	182/274/268	86	264	6	10	31%	8%	58	-1.7	206/278/301	95	283	7	11	28%	7%	66	-1.1	217/289/313	96	287	8	16	26%	7%	70	-0.4
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/298/304	85	284	8	4	24%	7%	74	-0.5	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕Franklin Tineo 2017 · A	22	36	38→45	46→50	45	179/245/253	75	239	5	10	26%	7%	42	-2.9	198/277/298	100	282	8	10	30%	8%	65	-1.2	201/298/325	124	262	10	12	25%	10%	77	-0.1
✕Ramon Mendoza 2023 · A	22	40→49	37→45	48→45	44	187/265/261	75	278	4	7	32%	8%	52	-2.2	212/285/310	98	296	8	5	29%	8%	70	-0.8	230/307/340	110	300	10	3	25%	9%	83	+0.0
✕Corey Joyce 2021 · A	22	44	40	50	39	211/267/307	95	311	8	8	33%	6%	63	-1.4	201/290/309	108	293	11	12	33%	9%	74	-0.6	213/316/315	101	301	9	14	29%	10%	81	-0.0
✕Glenn Santiago 2023 · A	22	41	41→40	46→45	39	201/255/297	96	286	8	8	32%	6%	55	-1.9	198/263/285	87	291	7	9	32%	7%	57	-1.8	182/254/257	75	267	7	8	32%	8%	46	-1.1
✕Zach Green 2016 · A	22	42	40→55	49→40	39	208/248/301	93	281	8	6	28%	5%	53	-2.1	203/258/334	131	317	14	3	39%	5%	66	-1.1	194/261/373	179	295	22	1	40%	7%	74	-0.3
✕Raul Beracierta 2021 · A	22	46	40→50	50	45	218/288/314	95	304	7	8	29%	8%	72	-0.7	218/267/347	129	329	14	6	36%	5%	72	-0.7	216/262/355	138	319	17	3	36%	5%	69	-0.4
✕Devin Mann 2019 · A	22	44	38→50	46→45	48	208/284/291	83	279	5	9	26%	9%	65	-1.2	218/288/366	148	285	17	7	28%	8%	84	+0.2	210/294/364	154	277	16	4	29%	9%	85	+0.2
✕Jose Sibrian 2021 · A	22	43	38→50	49→30	39	204/261/283	79	291	5	6	30%	6%	55	-2.0	204/258/283	79	271	6	3	26%	5%	54	-2.0	202/260/295	93	255	9	0	24%	5%	55	-0.7
✕Luke Williams 2019 · A	22	40→44	38→45	50→65	41	197/248/266	70	256	6	15	25%	5%	46	-2.6	206/264/300	94	275	7	19	26%	7%	60	-1.6	222/284/339	116	307	11	42	29%	7%	74	-0.3
✕Melvin Santana 2014 · A	22	42	37→45	51→50	45	200/253/283	83	254	3	11	22%	6%	51	-2.2	203/251/281	78	279	3	11	27%	6%	50	-2.3	195/231/264	69	262	0	19	24%	4%	37	-0.6
✕Jorge Alcantara 2013 · A	21	42	41→45	50	43	201/271/299	98	298	8	11	33%	8%	63	-1.4	193/263/287	94	294	6	14	34%	8%	57	-1.8	147/226/244	97	221	6	25	34%	8%	33	-1.0
✕Claudio Finol 2022 · A	22	40	38→40	46→45	40	194/253/278	85	271	5	6	29%	6%	51	-2.3	196/253/280	84	275	6	9	29%	6%	51	-2.2	192/260/271	78	271	9	12	31%	7%	51	-0.6
✕Carlos Narváez 2021 · A	22	47→45	38→45	48→45	46	219/291/300	81	314	5	6	30%	9%	70	-0.8	192/280/305	113	303	13	5	37%	10%	68	-1.0	212/295/344	132	286	15	6	29%	9%	81	-0.0
✕Alexander Campos 2022 · A	22	42	42→40	46→45	48	206/291/311	105	278	9	6	28%	9%	73	-0.6	220/302/308	88	316	7	6	30%	9%	76	-0.4	234/327/306	73	330	7	6	28%	11%	84	+0.1
✕Kyler Fedko 2022 · A	22	46→42	38→50	51→55	44	212/282/292	79	315	5	10	32%	8%	65	-1.2	205/287/314	109	273	10	10	27%	9%	72	-0.7	197/276/341	144	245	18	22	27%	9%	73	-0.4
✕Steven Baron 2013 · A	22	39	41→45	50	37	193/231/293	99	262	8	10	29%	4%	45	-2.7	197/236/286	89	278	6	9	30%	5%	45	-2.7	237/293/310	73	315	4	8	24%	7%	69	-0.4
✕Blake Hunt 2021 · A	22	42	40→45	49→40	43	204/260/298	94	268	7	6	26%	6%	58	-1.7	192/251/306	114	277	11	4	33%	6%	57	-1.8	208/275/351	144	265	17	1	28%	7%	74	-0.2
✕Chris Roller 2019 · A	22	39	41→45	51→55	42	192/267/295	103	286	9	14	34%	8%	61	-1.5	205/269/313	108	292	7	12	30%	6%	65	-1.2	178/265/281	103	258	10	19	32%	8%	56	-1.0

Career Stats + Projections

Career Comps

Career Path Comps