Helder Rosario

C FCL Nationals

Age 22 R/R 6'1" / 165 lbs ROK Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	18	ROKWSH	89	.171/.276/.237	1	5	-9	—	.101/.184/.114
2024	19	ROKWSH	63	.128/.328/.170	0	3	-1	—	.077/.213/.096
2025	20	ROKWSH	39	.143/.368/.143	0	1	3	—	.094/.237/.094
2027PROJMLE	22	MLBWSH	149	.176/.263/.242	1	2	46	0.0
2028PROJ34% MLB	23	MLBWSH	22	.181/.267/.253	0	0	51	-0.0

Next 2 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029Ext$0.0M2030Ext$0.0M2031Ext$0.0M2032Ext$0.0M2033Ext$0.9M2034Ext$1.0M+4

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 26 proj PA

wRC+†46

AVG/OBP/SLG.175 / .260 / .240

PA26

HR0

K%37

BB%10

ISO65

MLB%0%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Contract

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
2038	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. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 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 1-3 WAR low.

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	-9	—	—	—	—	—	—
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	-9	—	—	—	—	—	—
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	-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	3	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Nationals	—	73	67	6	1	0	0	6	46	0	3	2	90	164	104	269	15	307	63	8	155	-9	—	—	—	—	—	—
2023	18	ROK MLE	DSL Nationals	—	89	79	8	1	0	0	7	45	1	5	3	101	184	114	298	13	203	51	8	155	-9	—	—	—	—	—	—
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	167	-1	—	—	—	—	—	—
2025	20	ROK MLE	FCL Nationals	—	39	32	3	0	0	0	5	23	1	1	0	94	237	94	331		288	59	13	173	3	—	—	—	—	—	—
2022	17	ROK MLE	DSL Nationals	—	73	67	6	1	0	0	6	46	0	3	2	90	164	104	269	15	286	63	8	155	-9	—	—	—	—	—	—
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	-9	—	—	—	—	—	—
2023	18	ROK MLE	DSL Nationals	—	89	79	8	1	0	0	7	45	1	5	3	101	184	114	298	13	222	51	8	155	-9	—	—	—	—	—	—
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	-9	—	—	—	—	—	—
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	167	-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	6	1	0	0	6	46	0	3	2	90	164	104	269	15	307	63	8	155	-9	—	—	—	—	—	—
2023	18	ROK MLE	DSL Nationals	—	89	81	8	1	0	0	7	45	1	5	3	99	184	111	295	12	203	51	8	155	-9	—	—	—	—	—	—
2024	19	ROK MLE	FCL Nationals	—	63	54	4	1	0	0	9	29	0	3	0	74	213	93	306	19	174	46	14	167	-1	—	—	—	—	—	—
2025	20	ROK MLE	FCL Nationals	—	39	33	3	0	0	0	5	23	1	1	0	91	237	91	328		288	59	13	173	3	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	ROK MLE	FCL Nationals	—	63	54	4	1	0	0	9	29	0	3	0	74	213	93	306	19	174	46	14	167	-1	—	—	—	—	—	—
2025	20	ROK MLE	FCL Nationals	—	39	33	3	0	0	0	5	23	1	1	0	91	237	91	328		288	59	13	173	3	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	WSH	0%	149	133	23	4	1	1	14	55	1	2	0	176	263	242	504	65	289	37	9	236	46	-10	+0	+0	+3	+3	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	WSH	34%	66	59	11	2	0	1	6	24	1	1	0	181	267	255	522	74	290	36	9	243	51	-4	+0	+0	+1	+1	-0.1
2028	23	MLB CTX	WSH	34%	22	20	4	1	0	0	2	8	0	0	0	181	267	253	519	72	289	36	9	242	51	-1	+0	+0	+0	+0	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	22	20	4	1	0	0	2	8	0	0	0	200	273	250	523	50	333	36	9	242	9	-1	+0	+0	+0	+0	-0.0
/ 162G	—	A+C		—	650	591	119	30	0	0	59	236	0	0	0	201	274	252	526	51	335	36	9	242	9	-38	+0	+0	+12	+14	-1.3
Career	—	MLE		—	356	313	36	6	0	1	35	177	3	13	5	115	211	144	355	29	255	50	10	181	9	-6	+0	+0	+2	+2	-0.2
/ 162G	—	MLE		—	650	571	66	11	0	2	64	323	5	24	9	116	211	145	356	30	256	50	10	181	9	-39	+1	+0	+12	+14	-1.2

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2025 ROKFCL Nationals · 39 PAwOBA .268 → .173 (−95)K% 41.0% → 59.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	41.03%	÷0.995	×1.440	—	—	59.40%
BB% (unintentional) /PA	23.08%	÷1.012	×0.620	—	×0.995	14.06%
HBP% /PA	2.56%	—	×0.720	—	×0.995	1.84%
Singles /BIP	33.33%	÷0.946	×0.820	—	×0.995	28.75%
Doubles /BIP	0.00%	÷1.138	×0.720	—	×0.995	0.00%
Triples /BIP	0.00%	÷0.929	×0.720	—	×0.995	0.00%
Home runs /BIP	0.00%	÷1.328	×0.780	—	×0.995	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 166, 1B 89, 2B 128, 3B 86, K 99, BB 102 — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average).

Result: wOBA .268 → .173; ISO .000 → .000; BABIP .333 → .288. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 ROKFCL Nationals · 63 PAwOBA .249 → .167 (−82)K% 31.7% → 45.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.75%	÷0.999	×1.440	—	—	45.77%
BB% (unintentional) /PA	22.22%	÷0.979	×0.620	—	×1.008	14.18%
HBP% /PA	0.00%	—	×0.720	—	×1.008	0.00%
Singles /BIP	14.81%	÷1.021	×0.820	—	×1.008	11.99%
Doubles /BIP	7.41%	÷0.987	×0.720	—	×1.008	5.44%
Triples /BIP	0.00%	÷1.025	×0.720	—	×1.008	0.00%
Home runs /BIP	0.00%	÷0.975	×0.780	—	×1.008	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 95, 1B 104, 2B 97, 3B 105, K 100, BB 96 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average).

Result: wOBA .249 → .167; ISO .043 → .029; BABIP .222 → .174. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 DSLDSL Nationals · 89 PAwOBA .240 → .155 (−86)K% 42.7% → 50.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	42.70%	÷1.023	×1.220	—	—	50.90%
BB% (unintentional) /PA	11.24%	÷0.965	×0.700	—	×1.008	8.22%
HBP% /PA	1.12%	—	×0.700	—	×1.008	0.79%
Singles /BIP	26.32%	÷0.989	×0.680	—	×1.008	18.22%
Doubles /BIP	5.26%	÷1.078	×0.600	—	×1.008	2.95%
Triples /BIP	0.00%	÷0.946	×0.600	—	×1.008	0.00%
Home runs /BIP	2.63%	÷1.008	×0.470	—	×1.008	1.24%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 98, 2B 116, 3B 89, K 105, BB 93 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average).

Result: wOBA .240 → .155; ISO .066 → .031; BABIP .308 → .203. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 DSLDSL Nationals · 73 PAwOBA .277 → .155 (−121)K% 50.7% → 62.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	50.68%	÷0.983	×1.220	—	—	62.88%
BB% (unintentional) /PA	12.33%	÷1.004	×0.700	—	×1.022	8.79%
HBP% /PA	0.00%	—	×0.700	—	×1.022	0.00%
Singles /BIP	33.33%	÷0.982	×0.680	—	×1.022	23.60%
Doubles /BIP	7.41%	÷1.039	×0.600	—	×1.022	4.38%
Triples /BIP	3.70%	÷1.077	×0.600	—	×1.022	2.11%
Home runs /BIP	3.70%	÷0.930	×0.470	—	×1.022	1.91%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 86, 1B 96, 2B 108, 3B 115, K 97, BB 101 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average).

Result: wOBA .277 → .155; ISO .109 → .046; BABIP .462 → .307. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).