Helder Rosario — OGILVIE

Helder RosarioC FCL Nationals

Age 21 R/R 6'1" / 165 lbs ROK Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 49 proj PA

wRC+†45

AVG/OBP/SLG.178 / .253 / .249

PA4

HR0

K%37

BB%8

ISO71

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	+0.1	$0.3M	+$0.0M (cut)
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		$0.0M	+$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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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 Nationals	—	73	64	13	2	1	1	9	37	0	3	2	203	301	312	614	109	462	51	12	283	78	-2	-0	—	—	+2	-0.1
2023	18	ROK	DSL Nationals	—	89	76	13	2	0	1	10	38	1	5	3	171	276	237	513	66	308	43	11	241	49	-5	-0	—	—	+2	-0.4
2024	19	ROK	FCL Nationals	—	63	47	6	2	0	0	14	20	0	3	0	128	328	170	498	43	222	32	22	253	58	-3	+1	—	—	+1	-0.1
2025	20	ROK	FCL Nationals	—	39	28	4	0	0	0	9	16	1	1	0	143	368	143	511		333	41	23	273	71	-1	+0	—	—	+1	-0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Nationals	—	73	67	5	1	0	0	6	54	0	3	2	75	151	90	240	15	366	74	8	127	-28	-11	-0	—	—	+2	-1.0
2023	18	ROK MLE	DSL Nationals	—	89	80	8	1	0	1	6	53	1	5	3	100	172	150	322	50	241	60	7	147	-14	-12	-0	—	—	+2	-1.1
2024	19	ROK MLE	FCL Nationals	—	63	52	4	1	0	0	9	29	0	3	0	77	213	96	309	19	173	46	14	166	-1	-8	+1	—	—	+1	-0.6
2025	20	ROK MLE	FCL Nationals	—	39	32	3	0	0	0	5	23	1	1	0	94	237	94	331		289	59	13	173	3	-4	+0	—	—	+1	-0.4
2022	17	ROK MLE	DSL Nationals	—	73	67	5	1	0	0	6	54	0	3	2	75	151	90	240	15	385	74	8	127	-28	—	—	—	—	—	—
2022	17	ROK RAW	DSL Nationals	—	73	64	13	2	1	1	9	37	0	3	2	203	301	312	614	109	462	51	12	283	-28	—	—	—	—	—	—
2023	18	ROK MLE	DSL Nationals	—	89	80	8	1	0	1	6	53	1	5	3	100	172	150	322	50	250	60	7	147	-14	—	—	—	—	—	—
2023	18	ROK RAW	DSL Nationals	—	89	76	13	2	0	1	10	38	1	5	3	171	276	237	513	66	308	43	11	241	-14	—	—	—	—	—	—
2024	19	ROK MLE	FCL Nationals	—	63	52	4	1	0	0	9	29	0	3	0	77	213	96	309	19	174	46	14	166	-1	—	—	—	—	—	—
2024	19	ROK RAW	FCL Nationals	—	63	47	6	2	0	0	14	20	0	3	0	128	328	170	498	43	222	32	22	253	-1	—	—	—	—	—	—
2025	20	ROK MLE	FCL Nationals	—	39	32	3	0	0	0	5	23	1	1	0	94	237	94	331		333	59	13	173	3	—	—	—	—	—	—
2025	20	ROK RAW	FCL Nationals	—	39	28	4	0	0	0	9	16	1	1	0	143	368	143	511		333	41	23	273	3	—	—	—	—	—	—
2022	17	ROK MLE	DSL Nationals	—	73	67	5	1	0	0	6	54	0	3	2	75	151	90	240	15	366	74	8	127	-28	—	—	—	—	—	—
2023	18	ROK MLE	DSL Nationals	—	89	82	8	1	0	1	6	53	1	5	3	98	172	146	319	49	241	60	7	147	-14	—	—	—	—	—	—
2024	19	ROK MLE	FCL Nationals	—	63	54	4	1	0	0	9	29	0	3	0	74	213	93	306	19	173	46	14	166	-1	—	—	—	—	—	—
2025	20	ROK MLE	FCL Nationals	—	39	33	3	0	0	0	5	23	1	1	0	91	237	91	328		289	59	13	173	3	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	DSL Nationals	—	89	82	8	1	0	1	6	53	1	5	3	98	172	146	319	49	241	60	7	147	-14	—	—	—	—	—	—
2024	19	ROK MLE	FCL Nationals	—	63	54	4	1	0	0	9	29	0	3	0	74	213	93	306	19	173	46	14	166	-1	—	—	—	—	—	—
2025	20	ROK MLE	FCL Nationals	—	39	33	3	0	0	0	5	23	1	1	0	91	237	91	328		289	59	13	173	3	—	—	—	—	—	—
▸ 2026 season
2026	21	MLB MLE	WSH	0%	4	4	0	0	0	0	0	1	0	0	0						289	25	0	235	45	-0	+0	+0	+0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	WSH	34%	134	121	23	4	1	2	11	47	1	2	0	190	263	289	552	99	290	35	8	248	54	-7	+0	+0	+2	+3	-0.2
2028	23	MLB MLE	WSH	48%	263	237	46	8	1	4	22	90	2	4	1	194	268	287	555	93	291	34	8	257	60	-12	+0	+0	+5	+6	-0.2
2029	24	MLB MLE	WSH	53%	357	321	64	11	2	6	30	120	3	6	1	199	274	302	576	103	292	34	8	263	64	-15	+1	+0	+6	+8	-0.0
2030	25	MLB MLE	WSH	55%	414	372	75	13	2	8	35	137	4	7	1	202	277	312	589	110	292	33	8	267	67	-16	+1	+0	+7	+9	0.1
2031	26	MLB MLE	WSH	56%	449	404	81	14	2	9	38	149	4	7	2	200	276	312	588	111	292	33	8	268	68	-17	+1	+0	+8	+10	0.1
2032	27	MLB MLE	WSH	55%	466	419	83	14	2	9	40	155	4	7	2	198	274	305	580	107	292	33	9	268	68	-18	+1	+0	+8	+10	0.1
2033	28	MLB MLE	WSH	55%	472	423	85	15	2	9	41	158	5	7	2	201	279	310	589	109	292	33	9	267	67	-19	+1	-1	+8	+10	0.0
2034	29	MLB MLE	WSH	53%	469	421	83	14	2	9	41	158	4	7	1	197	275	304	579	107	291	34	9	265	66	-19	+1	-1	+8	+10	-0.1
2027	22	MLB CTX	WSH	34%	46	42	8	1	0	1	4	16	0	1	0	190	261	286	547	95	288	35	9	240	54	-3	+0	+0	+1	+1	-0.1
2028	23	MLB CTX	WSH	48%	127	114	23	4	1	2	11	43	1	2	0	202	278	307	585	105	289	34	9	249	60	-6	+0	+0	+2	+3	-0.1
2029	24	MLB CTX	WSH	53%	188	168	34	6	1	3	16	63	2	3	1	202	280	304	583	101	291	34	9	255	64	-8	+0	+0	+3	+4	-0.0
2030	25	MLB CTX	WSH	55%	227	204	41	7	1	4	19	75	2	4	1	201	276	304	579	103	291	33	8	258	67	-9	+0	+0	+4	+5	0.0
2031	26	MLB CTX	WSH	56%	250	225	45	8	1	5	21	83	2	4	1	200	274	311	585	111	291	33	8	260	68	-10	+0	+0	+4	+5	0.1
2032	27	MLB CTX	WSH	55%	256	230	46	8	1	5	22	85	2	4	1	200	276	309	584	109	290	33	9	260	68	-10	+0	+0	+5	+6	0.1
2033	28	MLB CTX	WSH	55%	258	232	46	8	1	5	22	86	2	4	1	198	273	306	579	108	290	33	9	259	67	-10	+0	-0	+5	+6	0.0
2034	29	MLB CTX	WSH	53%	250	224	45	8	1	5	22	84	2	4	1	201	278	312	591	112	289	34	9	257	66	-10	+0	-1	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1602	1439	288	50	7	30	137	535	13	26	6	200	276	307	583	107	293	33	9	257	59	-65	+3	-1	+29	+35	-0.0
/ 162G	—	A+C		—	650	584	117	20	3	12	56	217	5	11	2	200	276	307	582	106	293	33	9	257	59	-27	+1	-0	+12	+14	-0.0
Career	—	MLE		—	3292	2953	560	96	14	57	284	1174	29	59	15	190	267	290	557	100	289	36	9	256	59	-125	+5	-2	+54	+66	-0.2
/ 162G	—	MLE		—	650	583	111	19	3	11	56	232	6	12	3	190	268	290	558	99	292	36	9	256	59	-27	+1	-0	+12	+14	-0.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jeff Mathislast yr '20 career totals — 15 seasons, 3,003 PA	4.5	3,003	53	12	194	253	300	+54	+136	11.2	10.8
/162	664	12	3	+11.9	+30.1	2.5	pk7: 10
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3Ronny 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
#4Adam 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
#5Ryan 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	1,652	29	26	200	273	306	+29	+20	1.0	1.1
/162	664	12	10	+11.9	+8.0	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
Helder Rosario (OGILVIE)	21	—	—	—	—	178/253/249	71	289	0	1	37%	8%	45	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Steven Baron 2012 · A	21	34	39→45	45→50	36	172/216/255	83	252	7	7	34%	5%	31	-3.7	189/226/284	95	266	6	9	30%	4%	41	-3.0	237/293/310	73	315	4	8	24%	7%	69	-0.4
✕Pablo Aliendo 2022 · A	21	39	39→50	44→45	37	186/262/264	78	301	7	6	38%	6%	52	-2.2	204/269/325	121	300	13	5	35%	6%	68	-1.0	197/266/334	137	285	16	5	35%	7%	66	-0.6
✕Frank Rodriguez 2023 · A	21	40	40→45	48→30	38	195/255/282	87	294	7	4	35%	6%	53	-2.1	178/234/262	84	256	7	3	32%	6%	40	-3.0	183/244/267	84	244	9	1	28%	6%	43	-0.9
✕Ismael Alcantara 2019 · A	20	39→29	38→45	51→50	41	185/255/266	81	281	5	13	34%	7%	49	-2.4	210/275/314	104	329	8	15	36%	7%	68	-1.0	190/253/306	116	287	12	16	36%	6%	55	-0.9
✕Willy Diaz 2015 · A	21	36	36→40	45→40	46	170/263/235	65	253	4	5	32%	9%	47	-2.6	187/263/267	80	309	5	4	37%	8%	53	-2.1	184/258/270	86	308	5	2	39%	8%	49	-0.9
✕Nelson Medina 2021 · A	20	37	39→45	48→50	39	176/249/261	85	299	6	10	40%	8%	47	-2.6	197/277/297	100	311	7	14	35%	9%	65	-1.2	144/220/221	77	270	5	19	45%	8%	24	-1.3
✕Carson Tucker 2023 · A	21	39	38→40	52→55	34	165/237/245	80	349	6	11	50%	8%	38	-3.2	185/249/268	83	386	7	9	49%	7%	47	-2.5	198/251/262	64	338	3	18	40%	6%	44	-1.0
✕Geovanny Planchart 2023 · A	21	41	36→40	50→40	46	189/270/254	65	297	3	5	34%	10%	53	-2.1	192/278/273	81	283	5	4	31%	10%	60	-1.6	178/270/257	78	255	6	2	30%	10%	51	-0.9
✕Payton Henry 2018 · A	21	39→31	42→45	46→30	38	189/254/293	104	302	8	3	38%	7%	55	-1.9	184/249/284	100	318	10	2	43%	6%	51	-2.2	242/289/361	119	320	16	1	29%	4%	79	-0.1
✕Arturo De Freitas 2023 · A	22	35	39→45	45→40	34	174/222/255	81	277	7	4	39%	5%	34	-3.5	184/241/265	81	306	8	5	40%	6%	44	-2.8	141/191/216	75	260	9	0	47%	5%	11	-1.0
✕Dale Burdick 2017 · A	21	38	39→45	49→50	38	178/248/265	88	296	5	7	39%	7%	47	-2.6	177/252/273	96	312	7	8	42%	8%	50	-2.3	144/231/235	92	254	8	8	43%	9%	31	-1.3
✕Max George 2017 · A	21	39→38	40→45	47→55	43	187/274/280	93	280	7	10	33%	8%	61	-1.5	185/265/295	110	249	10	19	28%	7%	61	-1.5	164/253/286	122	221	13	23	31%	8%	52	-1.3
✕Freuddy Batista 2021 · A	21	40	41→50	48→40	35	192/245/289	98	307	8	5	39%	6%	50	-2.3	206/273/352	146	297	16	6	34%	7%	76	-0.4	199/268/348	150	286	16	5	34%	6%	71	-0.4
✕Miguel Jerez 2018 · A	20	36	37→60	47→40	38	175/233/245	70	281	4	5	37%	7%	36	-3.4	176/241/304	128	277	16	4	40%	7%	53	-2.1	137/212/274	137	203	19	1	42%	7%	35	-1.3
✕Yeuris Ramirez 2019 · A	20	33	39→40	47→50	40	163/252/248	85	260	6	8	37%	7%	45	-2.7	192/272/290	98	317	8	13	39%	7%	62	-1.4	158/238/238	80	331	8	23	50%	6%	35	-1.2
✕Adam Zebrowski 2022 · A	21	44→35	39→50	49→40	38	206/267/292	86	316	5	7	34%	6%	59	-1.7	190/262/310	120	286	13	4	36%	8%	62	-1.4	188/241/319	130	273	18	2	37%	5%	53	-1.3
✕Omar Meregildo 2018 · A	20	36→33	37→45	47→30	38	174/239/249	74	275	4	6	36%	6%	39	-3.1	196/254/306	110	314	10	3	38%	7%	58	-1.7	173/241/298	125	280	15	1	41%	7%	50	-1.2
✕Lizandro Espinoza 2023 · A	20	38→24	37→45	51→60	37	182/239/259	77	286	4	10	36%	6%	40	-3.0	159/226/247	88	256	8	13	39%	7%	34	-3.5	160/233/271	111	241	12	30	37%	7%	41	-1.7
✕Alex Jackson 2016 · A	20	38→37	38→55	45→30	34	181/238/262	82	294	5	5	38%	5%	42	-2.9	193/251/322	129	292	14	3	37%	5%	61	-1.5	191/262/354	163	266	20	2	35%	6%	70	-0.3
✕Juan Zabala 2021 · A	22	40	39→40	48→50	37	189/252/274	85	300	6	6	37%	6%	50	-2.3	212/274/306	94	301	9	13	30%	7%	65	-1.2	206/268/289	83	286	8	16	29%	7%	56	-0.8

Career Stats + Projections

Career Comps

Career Path Comps