Daniel Hernandez

Daniel HernandezC FCL Nationals

Age 18 L/R 6'0" / 165 lbs ROK Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION84 act + 10 ros · stats below = ROS only

showingROS

wRC+†52

AVG/OBP/SLG.222 / .300 / .222

PA10

HR0

K%20

BB%10

BABIP273

ISO78

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$11M ctrl surplus

Tools · ContractCON 60 / POW 30

Toolsscout grade

CONTACT60

scouting grade only

POWER30

scouting grade only

EYE50

scouting grade only

SPEED40

scouting grade only

DEFENSE45

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2032	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2034	Arb-1	$2M	+0.4	$0.9M	+$0.0M
2035	Arb-2	$3M	+0.4	$0.8M	+$0.0M (cut)
2036	Arb-3	$4M	+0.4	$0.7M	+$0.0M (cut)
Totals		$5M		$5M	+$2M

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)
2025	17	ROK	DSL Nationals	—	148	138	31	7	0	0	8	16	2	3	2	225	277	275	552	51	254	11	5	255	59	-7	-0	—	—	+3	-0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Nationals	—	148	141	24	5	0	0	5	24	2	3	2	170	209	206	415	35	199	16	3	181	9	-16	-0	—	—	+3	-1.3
2025	17	ROK MLE	DSL Nationals	—	148	141	24	5	0	0	5	24	2	3	2	170	209	206	415	35	205	16	3	181	9	—	—	—	—	—	—
2025	17	ROK RAW	DSL Nationals	—	148	138	31	7	0	0	8	16	2	3	2	225	277	275	552	51	254	11	5	255	9	—	—	—	—	—	—
2025	17	ROK MLE	DSL Nationals	—	148	140	24	5	0	0	5	24	2	3	2	171	209	207	417	36	199	16	3	181	9	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Nationals	—	148	140	24	5	0	0	5	24	2	3	2	171	209	207	417	36	199	16	3	181	9	—	—	—	—	—	—
YTD	18	ROK MLE	WSH	—	84	80	11	1	0	0	3	19	1	0	0	138	179	150	329	12	180	23	4	148	-14	-11	+0	+0	+1	+2	-0.8
▸ 2026 season
YTD	18	ROK RAW	WSH	—	84	79	15	2	0	0	4	13	1	0	0	190	238	215	453	25	227	15	5	213	-14	—	—	—	—	—	—
ROS	18	ROK MLE	WSH	0%	10	9	2	0	0	0	1	2	0	0	0	222	300	222	522		274	20	10	246	52	-1	+0	-0	+0	+0	-0.0
TOT	18	ROK MLE	WSH	—	94	89	13	1	0	0	4	21	1	0	0	146	191	157	349	11	191	22	4	158	-7	-12	+0	-0	+2	+2	-0.8
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	WSH	34%	212	196	42	7	1	2	12	49	2	2	1	214	267	291	557	77	278	23	6	260	62	-10	+0	-0	+4	+5	-0.2
2028	20	MLB MLE	WSH	48%	347	320	72	12	2	5	20	79	4	4	1	225	279	322	601	97	281	23	6	269	68	-13	+0	-1	+6	+8	0.0
2029	21	MLB MLE	WSH	54%	449	413	93	16	2	7	27	102	6	6	2	225	283	324	607	99	282	23	6	276	73	-15	+0	-1	+8	+10	0.3
2030	22	MLB MLE	WSH	57%	520	476	110	19	3	9	32	117	7	7	2	231	289	340	630	109	283	22	6	280	76	-15	+1	-1	+9	+11	0.5
2031	23	MLB MLE	WSH	58%	520	476	110	19	3	9	32	116	7	7	2	231	289	340	630	109	284	22	6	282	77	-14	+1	-1	+9	+11	0.6
2032	24	MLB MLE	WSH	57%	520	476	110	19	3	9	32	116	7	7	2	231	289	340	630	109	285	22	6	284	78	-13	+1	-1	+9	+11	0.7
2033	25	MLB MLE	WSH	57%	520	475	110	19	3	9	33	116	7	7	2	232	291	341	632	109	285	22	6	285	79	-13	+1	-1	+9	+11	0.7
2034	26	MLB MLE	WSH	57%	520	475	110	19	3	9	33	116	7	7	2	232	291	341	632	109	285	22	6	285	79	-13	+1	-1	+9	+11	0.7
2035	27	MLB MLE	WSH	55%	520	475	110	19	3	9	33	116	7	7	2	232	291	341	632	109	285	22	6	285	79	-13	+1	-1	+9	+11	0.8
2036	28	MLB MLE	WSH	55%	520	474	110	19	3	9	34	117	7	7	2	232	293	342	635	110	284	22	7	284	79	-13	+1	-2	+9	+11	0.6
2037	29	MLB MLE	WSH	53%	520	474	109	19	2	9	34	118	7	7	2	230	291	335	627	105	284	23	7	282	77	-14	+1	-2	+9	+11	0.5
2038	30	MLB MLE	WSH	57%	520	474	108	18	2	9	34	119	7	6	2	228	289	331	621	103	283	23	7	280	75	-15	+0	-3	+9	+11	0.3
2039	31	MLB MLE	WSH	60%	504	459	103	17	2	8	33	117	7	6	2	224	287	322	609	98	280	23	7	276	73	-16	+0	-4	+9	+11	0.0
2027	19	MLB CTX	WSH	34%	73	68	15	3	0	1	4	17	1	1	0	221	274	309	583	88	277	23	5	250	62	-3	+0	-0	+1	+2	-0.0
2028	20	MLB CTX	WSH	48%	168	154	35	6	1	2	10	38	2	2	1	227	283	318	601	91	279	23	6	259	68	-6	+0	-0	+3	+4	0.0
2029	21	MLB CTX	WSH	54%	244	224	51	9	1	4	15	55	3	3	1	228	285	330	615	103	281	23	6	265	73	-8	+0	-0	+4	+5	0.2
2030	22	MLB CTX	WSH	57%	294	270	62	11	1	5	18	66	4	4	1	230	288	333	621	104	282	22	6	269	76	-9	+0	-1	+5	+6	0.3
2031	23	MLB CTX	WSH	58%	299	274	63	11	1	5	19	67	4	4	1	230	290	332	622	102	283	22	6	271	77	-8	+0	-1	+5	+6	0.4
2032	24	MLB CTX	WSH	57%	296	272	62	11	1	5	18	66	4	4	1	228	286	331	617	103	284	22	6	273	78	-8	+0	-1	+5	+6	0.4
2033	25	MLB CTX	WSH	57%	295	271	62	11	1	5	18	66	4	4	1	229	287	332	619	103	284	22	6	273	79	-7	+0	-1	+5	+6	0.4
2034	26	MLB CTX	WSH	57%	294	270	62	11	1	5	18	65	4	4	1	230	288	333	621	104	284	22	6	274	79	-7	+0	-1	+5	+6	0.4
2035	27	MLB CTX	WSH	55%	289	265	61	11	1	5	18	65	4	4	1	230	289	336	625	106	283	22	6	274	79	-7	+0	-1	+5	+6	0.4
2036	28	MLB CTX	WSH	55%	286	261	59	10	1	5	19	64	4	4	1	226	289	330	618	103	283	22	7	273	79	-7	+0	-1	+5	+6	0.4
2037	29	MLB CTX	WSH	53%	278	254	58	10	1	5	18	63	4	3	1	228	290	335	625	106	282	23	6	271	77	-8	+0	-1	+5	+6	0.2
2038	30	MLB CTX	WSH	57%	297	272	62	11	1	5	19	68	4	4	1	228	288	331	619	103	281	23	6	269	75	-9	+0	-2	+5	+6	0.2
2039	31	MLB CTX	WSH	60%	300	273	61	10	1	5	20	70	4	4	1	223	286	322	609	99	279	23	7	265	73	-10	+0	-2	+5	+6	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3413	3128	713	125	12	57	214	770	46	45	12	228	287	330	617	102	283	23	6	270	74	-97	+4	-10	+61	+74	3.3
/ 162G	—	A+C		—	650	596	136	24	2	11	41	147	9	9	2	228	288	331	618	102	284	23	6	270	74	-18	+1	-2	+12	+14	0.6
Career	—	MLE		—	6350	5813	1323	227	32	103	395	1424	84	83	26	228	286	331	617	103	282	22	6	278	74	-178	+6	-18	+111	+134	5.6
/ 162G	—	MLE		—	650	595	135	23	3	11	40	146	9	8	3	227	286	331	617	104	281	22	6	278	74	-19	+1	-2	+12	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#2Dioner Navarrolast yr '16 career totals — 12 seasons, 3,544 PA	5.3	3,544	77	14	250	308	370	+63	-1	12.1	11.6
/162	664	14	3	+11.9	-0.2	2.3	pk7: 11
#3Nick Hundleylast yr '19 career totals — 12 seasons, 3,373 PA	5.1	3,373	93	15	247	299	405	+60	-31	10.3	10.8
/162	664	18	3	+11.9	-6.0	2.0	pk7: 11
#4Yuniesky Betancourtlast yr '13 career totals — 9 seasons, 4,278 PA	6.4	4,278	80	30	261	285	388	+41	-20	6.1	7.2
/162	664	12	5	+6.4	-3.1	0.9	pk7: 8
#5Ronny 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
#6Gerald Lairdlast yr '14 career totals — 11 seasons, 2,690 PA	4.1	2,690	37	21	244	305	354	+48	-40	3.7	5.4
/162	664	9	5	+11.9	-9.8	0.9	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	5.3	3,536	58	45	230	286	335	+63	-16	6.3	5.4
/162	664	11	8	+11.9	-3.0	1.2	pk7: 4

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
Daniel Hernandez (OGILVIE)	18	25→60	20→30	40	50	210/259/276	66	274	1	1	24%	5%	52	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Rossmel Perez 2008 · A	18	46→56	35→30	42→45	52	212/306/268	56	272	2	5	21%	9%	70	-0.9	226/285/281	55	265	2	3	15%	7%	63	-1.4	266/319/323	57	287	3	5	8%	6%	83	+0.0
✕Roynier Hernandez 2023 · A	18	44→51	34→30	46→50	52	204/278/258	54	261	2	8	21%	9%	56	-1.9	234/302/288	54	298	1	9	20%	9%	71	-0.8	250/313/298	48	318	0	9	20%	8%	75	-0.2
✕Yonny Hernández 2016 · A	18	43→53	34→30	40→60	48	201/280/255	55	270	2	8	24%	8%	56	-1.9	218/295/275	57	265	1	22	17%	9%	66	-1.1	265/327/322	57	316	2	17	16%	7%	84	+0.1
✕William Bergolla Jr. 2023 · A	18	53→62	36→30	43→55	51	246/305/313	67	280	3	7	13%	7%	78	-0.3	248/302/302	54	283	1	16	12%	7%	74	-0.6	267/314/314	47	296	1	26	10%	6%	78	-0.2
✕Meibrys Viloria 2015 · A	18	45→47	40→45	46→40	48	218/285/316	97	280	7	5	24%	8%	72	-0.7	233/285/324	91	297	6	3	22%	6%	72	-0.7	243/287/342	99	309	8	2	23%	5%	75	-0.2
✕Rochest Cruz 2018 · A	19	46	36→40	43→65	52	214/289/283	69	266	3	10	20%	9%	65	-1.2	213/286/278	65	276	3	30	22%	8%	63	-1.3	205/284/259	53	265	2	47	21%	8%	56	-0.6
✕Nolan Beltran 2023 · A	18	44→49	35→40	45	54	202/283/260	58	244	2	7	17%	9%	59	-1.7	199/268/277	78	256	5	6	23%	8%	57	-1.8	204/291/293	90	251	7	4	20%	10%	67	-0.4
✕Sergio Burruel 2010 · A	19	45	37→30	45→30	43	213/264/286	73	284	3	6	25%	6%	56	-1.9	204/271/265	61	298	3	4	30%	8%	55	-2.0	242/305/311	69	297	6	1	19%	7%	75	-0.2
✕Jose Perez 2022 · A	18	41	38→40	42→45	44	193/266/276	83	281	5	6	31%	8%	55	-1.9	200/299/287	87	269	5	7	25%	11%	71	-0.8	193/314/286	93	255	5	7	23%	13%	76	-0.1
✕Alexander Campos 2018 · A	18	46	37→40	39→45	51	214/291/283	68	279	4	8	23%	9%	66	-1.1	195/266/265	70	306	4	9	34%	8%	53	-2.1	209/308/288	79	290	8	4	28%	11%	73	-0.2
✕José Tena 2019 · A	18	47→54	36→45	47→55	43	222/269/294	72	278	3	10	21%	5%	59	-1.6	217/254/304	87	306	6	9	30%	4%	56	-1.9	243/301/368	126	332	12	21	29%	7%	86	+0.2
✕José Godoy 2013 · A	18	44	35→45	42→30	53	202/285/257	56	253	2	4	20%	9%	59	-1.7	223/293/281	58	275	3	4	18%	8%	66	-1.1	256/311/328	72	307	5	2	17%	6%	81	-0.0
✕Livan Soto 2019 · A	19	45→55	34→40	47→50	49	208/273/256	49	257	1	10	19%	8%	53	-2.1	191/249/251	60	250	4	9	23%	7%	42	-2.9	234/307/314	80	309	6	8	24%	9%	77	-0.3
✕Yeltsin Encarnacion 2016 · A	18	47	35→30	41→45	47	220/284/277	57	292	2	6	24%	8%	61	-1.5	216/274/289	73	266	3	8	19%	7%	60	-1.6	218/272/297	79	264	3	9	17%	6%	58	-0.5
✕Eduardo Guerrero 2023 · A	18	48→51	35→30	45→50	45	225/284/280	56	298	3	8	25%	7%	62	-1.4	199/274/260	61	266	3	8	24%	8%	55	-2.0	203/294/259	56	277	4	10	25%	11%	61	-0.9
✕Lenyn Sosa 2018 · A	18	45→51	38→50	43→40	44	215/260/291	76	266	5	6	21%	6%	55	-1.9	209/239/295	86	263	6	4	23%	3%	48	-2.5	243/274/380	137	290	18	3	23%	3%	80	-0.1
✕Jesus Martinez 2014 · A	19	49	36→30	44→55	54	229/302/301	71	269	3	7	15%	9%	74	-0.5	220/279/277	57	275	2	13	19%	7%	59	-1.6	217/274/256	39	271	1	18	19%	7%	50	-0.9
✕Luis Sierra 2006 · A	19	45	36→40	39→45	51	209/282/283	74	259	2	5	19%	8%	63	-1.4	217/290/302	85	266	6	7	20%	7%	71	-0.8	224/278/323	99	258	10	8	17%	5%	69	-0.4
✕Cam Maron 2010 · A	19	46→56	40	50→40	47	222/289/316	94	291	7	7	25%	8%	73	-0.6	241/308/328	87	308	7	5	22%	8%	82	+0.0	248/318/312	64	318	4	2	21%	9%	80	-0.1
✕Yolki Pena 2018 · A	18	48	37→45	43→55	52	226/299/297	71	282	4	5	20%	9%	72	-0.7	211/308/302	91	283	4	13	24%	12%	78	-0.3	176/318/294	118	239	2	26	23%	16%	80	-0.0

Career Stats + Projections

Career Comps

Career Path Comps