Ronald Hernandez

Ronald HernandezC Brooklyn Cyclones

Age 22 S/R 5'11" / 155 lbs A+ H +5%HR +3% Svc 0.0 · Ctrl thru 2035 peak 1.3 · 2030

wRC+†51

AVG/OBP/SLG.193 / .268 / .284

PA320

HR5

SB6

K%32

BB%8

MLB%0%

Scouting · now → future

HIT

30↗40

PWR

35↗40

SPD

30→30

FLD

40↗50

EYE

49↗50

trajectory · 10 yrs

1.3peak

2030

Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Arb-2	$0.9M	+1.3	$12M	+$11M
2031	Arb-3	$0.9M	+1.3	$12M	+$11M
2032	Ext / FA-deal	$0.9M	+1.2	$11M	+$11M
2033	Ext / FA-deal	$2M	+1.0	$10M	+$8M
2034	Ext / FA-deal	$2M	+0.8	$4M	+$2M
2035	Ext / FA-deal	$2M	+0.5	$3M	+$0.6M
Totals		$9M		$52M	+$43M

Career Projections (MLE)

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	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
2021	17	ROK	DSL Marlins	170	148	23	4	2	2	17	47	3	3	1	.155	.256	.250	.506	.095	.208	28	10	.227	32	-13	+0	+0	+3	+5	-0.5
2022	18	ROK	FCL Marlins	161	144	27	3	1	2	10	48	6	2	1	.188	.269	.264	.533	.076	.263	30	6	.228	33	-12	+0	+0	+3	+5	-0.5
2023	19	ROK	2 teams	230	188	35	9	1	3	33	78	5	4	1	.186	.323	.293	.616	.106	.288	34	14	.280	72	-7	+0	+0	+4	+7	0.4
2024	20	A	2 teams	445	402	85	12	1	5	37	159	5	8	2	.211	.286	.284	.570	.072	.335	36	8	.256	54	-23	+1	+0	+8	+13	-0.2
2025	21	A+	Brooklyn Cyclones	393	357	64	11	2	5	25	112	7	23	5	.179	.247	.263	.510	.084	.242	28	6	.229	33	-30	+3	+0	+7	+11	-0.9
▸ 2026 Season (actual · ROS · total)
2026	22	A+	Brooklyn Cyclones	61	51	7	3	1	0	9	16	0	1	1	.137	.267	.235	.502	.098	.194	26	15	.246	46	-4	-0	+0	+1	+2	-0.1
ROS	22	MLB	NYM	259	231	42	8	1	3	23	80	3	5	2	.182	.265	.264	.529	.082	.267	31	9	.253	52	-14	+0	+0	+5	+7	-0.2
TOT	22	MLB	NYM	320	282	49	11	2	3	32	96	3	6	3	.174	.265	.259	.524	.085	.249	30	10	.252	51	-18	+0	+0	+6	+9	-0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	NYM	436	385	76	15	2	7	43	119	5	8	2	.197	.286	.301	.588	.104	.265	27	10	.273	67	-16	+1	+0	+8	+12	0.5
2028	24	MLB 26%	NYM	486	429	87	17	3	9	49	130	5	8	2	.203	.292	.319	.611	.117	.267	27	10	.281	74	-15	+1	+0	+9	+14	0.9
2029	25	MLB 44%	NYM	514	451	94	18	3	11	52	135	6	8	2	.208	.299	.335	.633	.126	.270	26	10	.287	78	-13	+1	+0	+9	+15	1.2
2030	26	MLB 59%	NYM	520	455	96	19	3	11	54	136	6	8	2	.211	.303	.338	.641	.127	.271	26	10	.289	80	-12	+1	+0	+9	+15	1.3
2031	27	MLB 76%	NYM	520	455	96	19	3	11	54	137	6	7	2	.211	.303	.338	.641	.127	.270	26	10	.289	80	-12	+1	+0	+9	+15	1.3
2032	28	MLB 84%	NYM	520	454	95	18	3	11	55	138	6	6	1	.209	.303	.335	.638	.126	.270	27	11	.288	79	-12	+1	-1	+9	+15	1.2
2033	29	MLB 90%	NYM	520	454	94	18	3	11	55	139	6	5	1	.207	.301	.333	.634	.126	.269	27	11	.286	77	-13	+1	-1	+9	+15	1.0
2034	30	MLB	NYM	515	449	92	18	3	10	55	140	6	4	1	.205	.300	.325	.625	.120	.268	27	11	.283	75	-15	+0	-2	+9	+15	0.8
2035	31	MLB	NYM	487	428	85	17	2	9	51	134	5	2	0	.199	.291	.311	.602	.112	.266	28	10	.279	72	-15	+0	-3	+9	+14	0.5
2036	32	MLB	NYM	455	399	78	15	2	8	48	128	5	0	0	.195	.290	.303	.593	.108	.264	28	11	.275	68	-16	+0	-3	+8	+13	0.1
2037	33	MLB	NYM	414	364	70	13	2	7	43	119	4	0	0	.192	.285	.297	.581	.104	.263	29	10	.269	64	-17	+0	-4	+7	+12	-0.2
2038	34	MLB	NYM	360	315	60	11	2	6	38	107	4	0	0	.190	.286	.295	.581	.105	.261	30	11	.263	60	-16	+0	-5	+6	+10	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			7405	6508	1299	245	39	131	742	2086	93	101	25	.200	.291	.310	.600	.110	.269	28	10	.273	67	-272	+10	-18	+132	+210	6.4
/ 162G	—			650	571	114	22	3	11	65	183	8	9	2	.200	.290	.306	.597	.107	.270	28	10	.273	67	-24	+1	-2	+12	+18	0.6

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
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	114	+3	+0	—	—	+5	0.8
2022	18	ROK	FCL Marlins	161	140	33	4	1	2	14	32	6	2	1	.236	.331	.321	.653	.086	.290	20	9	.302	89	-2	+0	—	—	+5	0.3
2023	19	A	St. Lucie Mets	39	29	5	2	0	0	6	13	2	0	0	.172	.351	.241	.593	.069	.278	33	15	.280	73	-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	182	+18	+0	—	—	+5	2.4
2024	20	A+	Brooklyn Cyclones	42	36	6	2	0	0	5	16	1	1	0	.167	.286	.222	.508	.056	.300	38	12	.248	48	-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	.088	.359	24	12	.331	112	+5	+1	—	—	+11	1.8
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	87	-6	+3	—	—	+11	0.8

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	.193/.268/.284	.091	.280	5	6	32%	8%	54	-0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Brett Cumberland 2017 · A	22	39	39→50	38→30	36	.187/.257/.275	.088	.292	7	4	36%	6%	46	-2.0	.195/.290/.326	.131	.297	14	2	37%	7%	76	+0.0	.186/.292/.325	.139	.279	16	0	36%	8%	74	-0.0
✕Oswaldo Cabrera 2021 · A	22	41	40→55	40→50	39	.202/.239/.295	.093	.256	8	7	25%	4%	42	-2.3	.225/.274/.393	.168	.293	20	16	29%	6%	84	+0.6	.221/.276/.387	.166	.278	20	18	28%	7%	79	+0.2
✕Mitch Walding 2015 · A	22	41→45	39→50	38→40	39	.196/.251/.282	.086	.297	6	4	35%	6%	44	-2.1	.197/.264/.299	.102	.316	9	4	38%	8%	55	-1.4	.198/.281/.352	.154	.310	19	2	39%	9%	74	-0.0
✕Matt Kennelly 2011 · A	22	41	40	34→40	40	.203/.244/.287	.084	.266	8	3	27%	5%	42	-2.3	.215/.268/.296	.081	.279	6	4	24%	6%	55	-1.4	.225/.280/.287	.062	.288	3	2	21%	6%	54	-0.6
✕Frandy De La Rosa 2018 · A	22	39→41	41→40	40→50	38	.195/.245/.290	.095	.276	9	9	32%	6%	43	-2.2	.201/.251/.315	.114	.317	12	6	38%	5%	53	-1.5	.182/.231/.302	.120	.293	16	0	42%	5%	37	-0.9
✕Franklin Tineo 2016 · A	21	37	38→45	41→50	46	.178/.258/.254	.076	.251	5	7	29%	8%	41	-2.3	.189/.262/.277	.088	.258	7	10	27%	8%	49	-1.8	.184/.261/.280	.096	.239	8	13	25%	8%	47	-0.7
✕Dusty Ryan 2007 · A	22	41→47	40→50	41→40	41	.199/.262/.286	.087	.294	8	5	33%	7%	50	-1.7	.209/.276/.335	.126	.316	15	4	36%	8%	69	-0.4	.208/.285/.361	.154	.308	17	3	36%	9%	77	+0.1
✕Gabriel Lino 2015 · A	22	38	40	36→30	36	.186/.237/.278	.092	.287	8	3	37%	6%	37	-2.6	.200/.247/.287	.087	.293	7	2	32%	5%	43	-2.2	.198/.247/.285	.086	.285	7	0	31%	5%	42	-1.1
✕Rudy van Heydoorn 2010 · A	21	33	41→45	41→50	41	.168/.252/.259	.091	.262	9	8	37%	8%	41	-2.3	.197/.275/.307	.110	.307	11	5	36%	9%	63	-0.9	.204/.303/.338	.134	.292	14	2	32%	11%	83	+0.2
✕Trevor Coleman 2011 · A	23	39	41→40	42→40	40	.194/.249/.287	.093	.257	9	5	27%	5%	45	-2.1	.209/.284/.308	.099	.270	9	5	24%	9%	66	-0.6	.210/.297/.304	.093	.266	9	3	23%	11%	68	-0.3
✕Jose Flores 2010 · A	22	40	43→45	39→40	46	.195/.272/.303	.108	.278	10	4	32%	9%	60	-1.0	.194/.262/.292	.098	.314	8	5	38%	7%	53	-1.5	.142/.212/.232	.090	.249	8	2	44%	6%	17	-1.0
✕Manuel Lopez 2009 · AAA	22	47	37→40	39→45	39	.225/.265/.292	.067	.309	5	11	28%	5%	52	-1.6	.247/.288/.326	.079	.319	5	9	23%	5%	70	-0.3	.264/.306/.333	.069	.336	3	6	21%	5%	75	+0.0
✕Jakson Reetz 2019 · A	23	40→34	40→60	39→45	42	.196/.270/.285	.090	.278	8	5	31%	7%	55	-1.4	.198/.276/.316	.118	.286	13	5	33%	7%	66	-0.6	.197/.277/.397	.201	.245	26	4	31%	7%	84	+0.3
✕Dante Bichette Jr. 2015 · AA	22	43→48	41→40	40	42	.211/.267/.310	.099	.283	9	2	28%	6%	59	-1.1	.217/.272/.312	.095	.286	8	3	26%	7%	61	-1.0	.239/.299/.331	.092	.299	8	3	22%	7%	74	-0.0
✕Deivy Grullón 2018 · AA	22	42→43	44→55	38→30	36	.210/.245/.321	.111	.284	12	2	30%	4%	52	-1.6	.231/.272/.389	.158	.308	21	3	31%	5%	82	+0.5	.218/.265/.393	.175	.292	26	1	34%	6%	77	+0.1
✕Michael Pérez 2015 · A	22	37	44→50	41→40	40	.184/.249/.302	.119	.288	11	3	38%	8%	50	-1.8	.193/.252/.290	.097	.268	8	4	29%	7%	47	-1.9	.224/.284/.351	.127	.286	14	0	26%	7%	75	-0.0
✕Randy Florentino 2022 · A	22	35	40→50	42→45	40	.174/.240/.257	.083	.272	8	5	37%	8%	33	-2.9	.189/.243/.277	.088	.263	9	6	30%	6%	40	-2.4	.183/.230/.260	.077	.238	8	4	26%	5%	28	-1.0
✕Sandy León 2012 · A	23	44→54	38→45	40→30	43	.209/.258/.292	.082	.277	5	3	26%	6%	50	-1.8	.214/.274/.305	.091	.270	7	3	22%	7%	60	-1.0	.234/.296/.341	.107	.296	11	0	24%	7%	75	+0.0
✕Niko Vasquez 2011 · A	22	42→41	41→50	42→45	47	.202/.282/.303	.101	.284	8	4	30%	9%	63	-0.8	.197/.265/.307	.110	.264	10	3	28%	8%	58	-1.2	.227/.282/.376	.149	.290	19	6	28%	6%	81	+0.2
✕Travis Harrison 2016 · AA	23	45→49	40	37→45	47	.214/.293/.309	.095	.292	6	4	27%	8%	70	-0.3	.189/.272/.276	.087	.284	6	9	32%	8%	53	-1.5	.162/.252/.242	.080	.256	5	10	35%	8%	34	-2.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)