Ronald Hernandez

Ronald HernandezC Brooklyn Cyclones

Age 22 S/R 5'11" / 155 lbs A+ H -5% Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION454 act + 10 ros · stats below = ROS only

showingROS

wRC+†53

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP242

ISO87

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$3M ctrl surplus

Tools · ContractCON 40 / POW 40

Toolsscout grade

CONTACT40

scouting grade only

POWER40

scouting grade only

EYE50

scouting grade only

SPEED30

scouting grade only

DEFENSE50

scouting grade only

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2029	Pre-Arb	$0.8M	+0.3	$1.0M	+$0.3M
2030	Pre-Arb	$0.9M	+0.3	$0.9M	+$0.3M
2031	Arb-1	$2M	+0.4	$1M	+$0.0M
2032	Arb-2	$3M	+0.3	$0.8M	+$0.0M (cut)
2033	Arb-3	$3M	+0.2	$0.5M	+$0.0M (cut)
Totals		$4M		$5M	+$0.7M

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)
2021	17	ROK	DSL Marlins	—	170	134	28	5	3	3	31	32	3	3	1	209	369	358	727	149	248	19	18	334	112	+2	+0	—	—	+4	0.6
2022	18	ROK	FCL Marlins	—	161	140	33	4	1	2	14	32	6	2	1	236	331	321	653	86	290	20	9	302	91	-2	+0	—	—	+3	0.2
2023	19	A	St. Lucie Mets	—	39	29	5	2	0	0	6	13	2	0	0	172	351	241	593	69	278	33	15	280	76	-1	+0	—	—	+1	-0.0
2023	19	ROK	FCL Mets	—	191	139	41	9	1	4	47	37	3	4	1	295	481	460	942	165	370	19	25	424	173	+17	+0	—	—	+4	2.2
2024	20	A+	Brooklyn Cyclones	—	42	36	6	2	0	0	5	16	1	1	0	167	286	222	508	56	300	38	12	248	54	-2	+0	—	—	+1	-0.1
2024	20	A	St. Lucie Mets	—	403	351	95	12	2	5	47	96	4	7	2	271	363	359	722	88	359	24	12	331	110	+5	+1	—	—	+9	1.5
2025	21	A+	Brooklyn Cyclones	—	393	340	76	14	3	6	42	86	7	23	5	224	321	335	657	112	278	22	11	300	89	-5	+3	—	—	+9	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Marlins	—	170	148	23	4	2	2	17	47	3	3	1	155	256	250	506	95	203	28	10	229	41	-12	+0	—	—	+4	-0.8
2022	18	ROK MLE	FCL Marlins	—	161	145	27	3	1	2	9	47	6	2	1	186	263	262	525	76	241	29	6	222	36	-12	+0	—	—	+3	-0.9
2023	19	A MLE	St. Lucie Mets	—	39	30	4	2	0	0	5	20	2	0	0	133	297	200	497	67	247	51	13	226	39	-3	+0	—	—	+1	-0.2
2023	19	ROK MLE	FCL Mets	—	191	157	32	7	1	3	29	56	3	4	1	204	339	318	657	115	282	29	15	297	87	-3	+0	—	—	+4	0.2
2024	20	A+ MLE	Brooklyn Cyclones	—	42	38	4	1	0	0	3	22	1	1	0	105	190	132	322	26	260	52	7	168	0	-5	+0	—	—	+1	-0.4
2024	20	A MLE	St. Lucie Mets	—	403	365	82	11	1	5	33	138	4	7	2	225	296	301	597	77	345	34	8	270	69	-15	+1	—	—	+9	-0.6
2025	21	A+ MLE	Brooklyn Cyclones	—	393	355	67	12	3	4	27	114	7	23	5	189	260	273	533	85	251	29	7	236	46	-25	+3	—	—	+9	-1.4
2021	17	ROK MLE	DSL Marlins	—	170	148	23	4	2	2	17	47	3	3	1	155	256	250	506	95	208	28	10	229	41	—	—	—	—	—	—
2021	17	ROK RAW	DSL Marlins	—	170	134	28	5	3	3	31	32	3	3	1	209	369	358	727	149	248	19	18	334	41	—	—	—	—	—	—
2022	18	ROK MLE	FCL Marlins	—	161	145	27	3	1	2	9	47	6	2	1	186	263	262	525	76	258	29	6	222	36	—	—	—	—	—	—
2022	18	ROK RAW	FCL Marlins	—	161	140	33	4	1	2	14	32	6	2	1	236	331	321	653	86	290	20	9	302	36	—	—	—	—	—	—
2023	19	ROK MLE	2 teams	—	230	187	36	8	1	3	34	76	5	4	1	193	332	294	626	102	295	33	15	285	79	—	—	—	—	—	—
2023	19	ROK RAW	2 teams	—	230	168	46	11	1	4	53	50	5	4	1	274	460	423	883	149	356	22	23	399	79	—	—	—	—	—	—
2024	20	A MLE	2 teams	—	445	402	86	12	1	5	37	160	5	8	2	214	288	286	574	72	340	36	8	260	62	—	—	—	—	—	—
2024	20	A RAW	2 teams	—	445	387	101	14	2	5	52	112	5	8	2	261	356	346	702	85	354	25	12	324	62	—	—	—	—	—	—
2025	21	A+ MLE	Brooklyn Cyclones	—	393	355	67	12	3	4	27	114	7	23	5	189	260	273	533	85	261	29	7	236	46	—	—	—	—	—	—
2025	21	A+ RAW	Brooklyn Cyclones	—	393	340	76	14	3	6	42	86	7	23	5	224	321	335	657	112	278	22	11	300	46	—	—	—	—	—	—
2021	17	ROK MLE	DSL Marlins	—	170	148	23	4	2	2	17	47	3	3	1	155	256	250	506	95	203	28	10	229	41	—	—	—	—	—	—
2022	18	ROK MLE	FCL Marlins	—	161	145	27	3	1	2	9	47	6	2	1	186	263	262	525	76	241	29	6	222	36	—	—	—	—	—	—
2023	19	ROK MLE	2 teams	—	230	189	36	8	1	3	34	76	5	4	1	190	332	291	623	101	276	33	15	285	79	—	—	—	—	—	—
2024	20	A MLE	2 teams	—	445	400	86	12	1	5	37	160	5	8	2	215	288	287	576	72	337	36	8	260	62	—	—	—	—	—	—
2025	21	A+ MLE	Brooklyn Cyclones	—	393	356	67	12	3	4	27	114	7	23	5	188	260	272	532	84	251	29	7	236	46	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	2 teams	—	230	189	36	8	1	3	34	76	5	4	1	190	332	291	623	101	276	33	15	285	79	—	—	—	—	—	—
2024	20	A MLE	2 teams	—	445	400	86	12	1	5	37	160	5	8	2	215	288	287	576	72	337	36	8	260	62	—	—	—	—	—	—
2025	21	A+ MLE	Brooklyn Cyclones	—	393	356	67	12	3	4	27	114	7	23	5	188	260	272	532	84	251	29	7	236	46	—	—	—	—	—	—
YTD	22	A+ MLE	NYM	—	454	400	65	11	2	8	46	152	6	24	2	163	259	260	519	98	236	33	10	234	45	-30	+4	+0	+8	+10	-0.8
▸ 2026 season
YTD	22	A+ RAW	NYM	—	454	376	77	14	2	10	70	113	6	24	2	205	338	332	671	128	263	25	15	311	45	—	—	—	—	—	—
ROS	22	A+ MLE	NYM	0%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		249	30	10	246	53	-1	+0	+0	+0	+0	-0.0
TOT	22	A+ MLE	NYM	—	464	409	66	11	2	8	47	155	6	24	2	161	258	257	514	95	234	33	10	234	45	-31	+4	+0	+8	+10	-0.8
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	NYM	35%	470	417	77	13	2	9	45	143	5	14	2	185	272	290	562	106	254	30	10	259	61	-22	+2	+0	+8	+10	-0.1
2028	24	MLB MLE	NYM	46%	509	449	86	15	2	11	49	150	6	16	2	192	280	307	587	116	258	29	10	268	67	-20	+2	+0	+9	+11	0.3
2029	25	MLB MLE	NYM	52%	520	459	90	16	2	12	50	150	6	16	2	196	283	318	602	122	259	29	10	273	71	-18	+2	+0	+9	+11	0.5
2030	26	MLB MLE	NYM	54%	520	459	91	16	2	12	50	149	6	16	2	198	285	320	606	122	260	29	10	275	73	-17	+2	+0	+9	+11	0.6
2031	27	MLB MLE	NYM	54%	520	458	90	16	2	12	51	150	6	16	2	197	285	319	604	122	260	29	10	276	73	-17	+2	+0	+9	+11	0.6
2032	28	MLB MLE	NYM	54%	520	458	90	16	2	12	51	150	6	15	2	197	285	319	604	122	259	29	10	275	72	-17	+2	-1	+9	+11	0.5
2033	29	MLB MLE	NYM	53%	520	457	89	15	2	12	52	151	6	14	2	195	285	315	601	120	258	29	10	273	71	-18	+2	-1	+9	+11	0.3
2034	30	MLB MLE	NYM	52%	517	455	87	15	2	11	51	152	6	13	2	191	281	305	587	114	257	29	10	270	69	-19	+2	-2	+9	+11	0.1
2035	31	MLB MLE	NYM	56%	488	432	81	14	2	10	48	145	5	10	1	188	276	299	575	111	254	30	10	266	66	-20	+2	-3	+9	+11	-0.2
2027	23	MLB CTX	NYM	35%	162	144	26	4	1	3	15	49	2	5	1	181	267	285	552	104	247	30	9	247	61	-7	+1	+0	+3	+4	-0.0
2028	24	MLB CTX	NYM	46%	235	208	39	7	1	5	22	69	3	7	1	188	275	303	578	115	251	29	9	256	67	-9	+1	+0	+4	+5	0.1
2029	25	MLB CTX	NYM	52%	269	238	45	8	1	6	26	78	3	8	1	189	277	307	584	118	253	29	10	261	71	-9	+1	+0	+5	+6	0.3
2030	26	MLB CTX	NYM	54%	282	250	47	8	1	6	27	81	3	9	1	188	275	300	575	112	253	29	10	263	73	-9	+1	+0	+5	+6	0.3
2031	27	MLB CTX	NYM	54%	282	249	47	8	1	6	28	81	3	9	1	189	279	301	580	112	253	29	10	263	73	-9	+1	+0	+5	+6	0.4
2032	28	MLB CTX	NYM	54%	282	249	47	8	1	6	28	82	3	8	1	189	279	301	580	112	253	29	10	262	72	-9	+1	-0	+5	+6	0.3
2033	29	MLB CTX	NYM	53%	276	244	46	8	1	6	27	80	3	8	1	189	277	303	581	115	252	29	10	260	71	-10	+1	-1	+5	+6	0.2
2034	30	MLB CTX	NYM	52%	271	239	45	8	1	6	27	80	3	7	1	188	279	305	584	117	250	30	10	258	69	-10	+1	-1	+5	+6	0.1
2035	31	MLB CTX	NYM	56%	275	243	45	8	1	6	27	82	3	6	1	185	275	300	575	115	248	30	10	254	66	-11	+1	-1	+5	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2334	2064	387	67	9	50	227	682	26	67	9	188	276	301	578	114	251	29	10	259	66	-85	+10	-3	+42	+51	1.5
/ 162G	—	A+C		—	650	575	109	19	3	14	63	190	7	19	3	190	278	306	584	117	254	29	10	259	66	-24	+3	-1	+12	+14	0.4
Career	—	MLE		—	5993	5290	1021	175	26	117	572	1787	78	170	27	193	281	302	584	109	264	30	10	266	66	-168	+19	-6	+82	+100	2.7
/ 162G	—	MLE		—	650	574	111	19	3	13	62	194	8	18	3	193	281	305	586	111	264	30	10	266	66	-24	+3	-1	+12	+14	0.4

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
#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
#3Sandy 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
#4Ronny 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
#5J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.5	2,337	51	66	195	280	313	+42	+0	3.1	3.0
/162	664	15	19	+11.9	+0.0	0.9	pk7: 3
#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
Ronald Hernandez (OGILVIE)	22	30→40	35→40	30	50	173/261/264	91	249	5	13	32%	9%	53	-1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Brett Cumberland 2017 · A	22	38→40	39→45	37→30	36	184/254/271	87	287	7	4	36%	5%	51	-2.3	195/292/322	127	297	13	2	36%	7%	78	-0.3	185/293/318	133	280	15	0	36%	8%	76	-0.2
✕Rafael Marchán 2021 · A	22	46	36→45	40	47	214/269/282	67	257	3	6	17%	6%	57	-1.8	205/266/280	75	243	4	4	17%	6%	56	-1.9	226/305/329	102	258	9	2	16%	8%	81	-0.0
✕Oswaldo Cabrera 2021 · A	22	41→49	41→50	41→50	39	205/243/300	95	266	8	7	26%	4%	51	-2.2	222/272/378	156	288	18	16	28%	6%	82	-0.0	241/293/341	100	295	13	8	22%	6%	79	-0.1
✕Frandy De La Rosa 2018 · A	22	40→43	41→40	40→50	38	197/249/292	95	288	8	9	34%	6%	53	-2.1	204/255/318	114	323	12	6	38%	6%	61	-1.5	182/231/297	115	288	16	0	41%	5%	42	-1.0
✕Matt Kennelly 2011 · A	22	42	40	34→40	41	205/248/290	85	267	8	3	26%	5%	51	-2.2	218/273/297	79	278	5	4	22%	6%	62	-1.4	230/284/288	59	289	2	2	20%	6%	61	-0.7
✕Angelo Mora 2015 · A	22	41→51	37→45	43→45	40	198/244/270	72	270	4	9	28%	6%	45	-2.7	236/274/330	94	309	5	6	24%	5%	70	-0.9	250/284/351	101	320	5	4	23%	4%	74	-0.4
✕Franklin Tineo 2016 · A	21	36	38→45	41→50	47	177/258/254	77	247	5	7	29%	9%	48	-2.5	190/264/281	91	260	7	10	28%	8%	56	-1.9	184/261/280	96	239	8	13	25%	8%	53	-0.7
✕Trevor Coleman 2011 · A	23	38	41→40	42→40	40	192/247/284	92	253	9	5	27%	5%	50	-2.3	209/285/309	100	269	9	6	24%	9%	70	-0.8	205/292/297	91	260	9	3	23%	11%	68	-0.6
✕Luis Alejandro Basabe 2019 · A	22	43→49	38→40	43→50	44	203/265/285	82	292	5	9	30%	8%	57	-1.8	210/280/291	81	315	6	11	32%	9%	63	-1.3	198/273/278	80	308	6	12	35%	9%	56	-1.3
✕Mitch Walding 2015 · A	22	42→45	39→50	38→40	39	200/258/287	87	309	6	4	35%	7%	55	-2.0	198/266/303	105	317	10	4	37%	8%	61	-1.5	195/279/340	145	305	17	2	39%	9%	74	-0.5
✕Brian Serven 2017 · A	22	39	37→50	39→30	40	187/227/257	70	241	4	4	24%	4%	35	-3.4	200/255/299	99	259	8	4	25%	5%	56	-1.9	217/296/335	118	314	12	1	32%	8%	79	-0.1
✕Donny Sands 2018 · A	22	48	38→45	37→40	43	232/273/310	78	288	6	4	21%	5%	65	-1.2	208/255/289	81	288	5	4	28%	5%	53	-2.1	224/286/336	112	273	12	2	22%	8%	74	-0.3
✕Carlos Colmenares 2008 · A	22	44→54	37→40	42→50	46	209/264/284	75	268	5	7	23%	7%	56	-1.9	226/282/299	73	305	3	12	25%	7%	65	-1.2	259/295/394	135	304	9	17	18%	5%	89	+0.1
✕Jose Lozada 2009 · A	23	41	40→45	41→45	39	201/241/295	94	263	7	6	26%	4%	49	-2.4	212/256/303	91	277	6	6	25%	5%	57	-1.8	238/289/274	36	317	2	12	24%	6%	60	-0.5
✕Jose Flores 2010 · A	22	40	42→45	39→40	46	196/273/303	107	280	10	5	32%	9%	65	-1.2	195/262/293	98	317	8	5	38%	7%	58	-1.7	142/212/232	90	249	8	2	44%	6%	26	-1.0
✕Niko Vasquez 2011 · A	22	41	41→50	40→45	47	199/280/302	102	284	8	3	31%	9%	67	-1.1	197/264/306	109	264	10	3	27%	8%	62	-1.4	221/278/353	132	287	16	6	28%	6%	76	-0.2
✕Brett Pope 2019 · A	23	47	38→40	39→50	48	222/295/303	81	293	5	8	25%	8%	72	-0.7	216/276/296	80	285	5	10	24%	7%	63	-1.3	206/262/271	65	269	4	10	23%	6%	49	-1.3
✕Reggie Williams 2011 · A	22	42	42→45	39→45	41	207/253/316	109	262	9	6	25%	5%	59	-1.6	217/266/314	97	277	8	6	24%	6%	63	-1.3	217/266/301	83	268	8	3	21%	6%	58	-0.9
✕Lenyn Sosa 2022 · AA	22	43→51	42→50	39→40	34	213/240/315	102	284	10	4	29%	3%	53	-2.1	235/269/364	129	289	16	4	24%	4%	76	-0.4	243/274/380	137	290	18	3	23%	3%	80	-0.1
✕Alan Schoenberger 2011 · A	22	43	41→45	43→45	39	209/260/310	101	304	8	8	33%	6%	60	-1.6	194/243/283	89	288	7	7	33%	6%	47	-2.5	148/194/213	65	223	3	3	34%	5%	11	-2.3

Career Stats + Projections

Career Comps

Career Path Comps