Maikel Hernandez

Maikel HernandezC Palm Beach Cardinals

Age 23 S/R 6'1" / 163 lbs A HR -7%K -4% Svc 0.0 · Ctrl thru 2036 peak 1.2 · 2030

wRC+†62

AVG/OBP/SLG.207 / .271 / .315

PA67

HR1

K%30

BB%7

MLB%0%

trajectory · 10 yrs

1.2peak

2030

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	Arb-3	$0.9M	+1.1	$10M	+$9M
2032	Ext / FA-deal	$0.9M	+1.0	$10M	+$9M
2033	Ext / FA-deal	$1.0M	+0.8	$4M	+$3M
2034	Ext / FA-deal	$1M	+0.5	$3M	+$2M
2035	Ext / FA-deal	$0.7M	+0.2	$1M	+$0.4M
2036	Ext / FA-deal	$0.6M	—	—	—
Totals		$5M		$27M	+$22M

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	18	ROK	DSL Cardinals Red	73	65	10	2	0	1	3	34	4	0	0	.154	.236	.231	.467	.077	.290	47	4	.192	5	-8	+0	+0	+1	+2	-0.5
2022	19	ROK	DSL Cardinals	113	97	18	5	0	0	13	29	1	0	0	.186	.288	.237	.525	.052	.257	26	12	.246	46	-7	+0	+0	+2	+3	-0.2
2023	20	ROK	FCL Cardinals	73	61	13	2	0	0	9	14	1	0	0	.213	.324	.246	.570	.033	.265	19	12	.267	63	-3	+0	+0	+1	+2	0.0
2024	21	A	Palm Beach Cardinals	78	73	8	1	0	0	3	30	1	0	0	.110	.156	.123	.279	.014	.186	38	4	.136	-38	-12	+0	+0	+1	+2	-0.9
2025	22	A	Palm Beach Cardinals	45	40	4	1	0	1	4	16	0	0	0	.100	.182	.200	.382	.100	.130	36	9	.154	-24	-6	+0	+0	+1	+1	-0.4
▸ 2026 Season
2026	23	MLB	STL	67	61	12	2	0	1	5	20	1	1	0	.197	.269	.279	.547	.082	.287	30	7	.267	62	-3	+0	+0	+1	+2	0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 10%	STL	160	145	31	6	1	3	12	46	2	3	1	.214	.283	.331	.614	.117	.289	29	8	.281	73	-5	+0	+0	+3	+5	0.3
2028	25	MLB 25%	STL	261	236	52	9	2	6	20	73	3	4	1	.220	.290	.352	.641	.131	.291	28	8	.290	80	-6	+0	+0	+5	+7	0.7
2029	26	MLB 42%	STL	332	299	68	12	2	9	27	92	3	5	1	.227	.298	.371	.669	.144	.292	28	8	.295	84	-6	+1	+0	+6	+9	1.0
2030	27	MLB 58%	STL	369	332	75	13	2	10	30	102	4	6	1	.226	.298	.367	.665	.142	.292	28	8	.296	85	-6	+1	+0	+7	+10	1.2
2031	28	MLB 68%	STL	392	353	78	14	2	10	32	109	4	5	1	.221	.293	.357	.650	.136	.291	28	8	.295	84	-7	+1	-1	+7	+11	1.1
2032	29	MLB 77%	STL	398	358	79	14	2	10	33	112	4	5	1	.221	.294	.355	.648	.134	.290	28	8	.293	82	-8	+1	-1	+7	+11	1.0
2033	30	MLB 84%	STL	400	360	79	14	2	10	33	114	4	4	0	.219	.292	.353	.645	.133	.289	28	8	.290	80	-9	+1	-2	+7	+11	0.8
2034	31	MLB 91%	STL	380	341	74	13	2	9	32	110	4	2	0	.217	.292	.346	.638	.129	.288	29	8	.286	77	-10	+0	-3	+7	+11	0.5
2035	32	MLB	STL	354	319	68	12	2	8	29	104	3	0	0	.213	.285	.339	.623	.125	.286	29	8	.281	74	-11	+0	-4	+6	+10	0.2
2036	33	MLB	STL	318	286	60	10	2	7	26	96	3	0	0	.210	.283	.332	.615	.122	.284	30	8	.276	69	-11	+0	-4	+6	+9	-0.1
2037	34	MLB	STL	271	245	50	9	1	6	22	84	2	0	0	.204	.275	.322	.598	.118	.283	31	8	.270	65	-11	+0	-5	+5	+8	-0.3
▸ Career Totals (MLE all levels + projections)
Career	—			4084	3671	779	139	20	91	333	1185	44	35	6	.212	.286	.335	.621	.123	.284	29	8	.280	72	-128	+5	-20	+73	+116	4.6
/ 162G	—			650	584	123	22	3	14	53	189	7	6	1	.211	.284	.330	.615	.120	.283	29	8	.280	72	-20	+1	-3	+12	+18	0.7

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	HR	BB	SO	HBP	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2021	18	ROK	DSL Cardinals Red	73	63	14	4	1	5	23	4	.222	.319	.333	.653	.111	.325	32	7	.299	87	-1	+0	—	—	+2	0.1
2022	19	ROK	DSL Cardinals	113	90	21	6	0	20	20	1	.233	.378	.300	.678	.067	.292	18	18	.318	102	+0	+0	—	—	+3	0.3
2023	20	ROK	FCL Cardinals	73	56	15	3	0	14	10	1	.268	.423	.321	.744	.054	.312	14	19	.345	122	+2	+0	—	—	+2	0.4
2024	21	A	Palm Beach Cardinals	78	72	12	2	0	4	20	1	.167	.221	.194	.415	.028	.231	26	5	.194	7	-8	+0	—	—	+2	-0.6
2025	22	A	Palm Beach Cardinals	45	39	4	1	1	5	11	0	.103	.205	.205	.410	.103	.111	24	11	.193	6	-5	+0	—	—	+1	-0.4

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
Maikel Hernandez (OGILVIE)	23	—	—	—	—	.207/.271/.315	.107	.287	1	1	30%	7%	62	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Patrick Bailey 2022 · A	23	44→49	45	50→45	43	.213/.278/.336	.122	.306	12	8	33%	8%	70	-0.3	.213/.279/.336	.123	.289	13	5	29%	8%	71	-0.3	.229/.288/.338	.110	.303	11	4	27%	7%	75	-0.0
✕Jake Rogers 2018 · A	23	41→40	44→55	47→45	42	.205/.269/.327	.122	.280	11	10	30%	7%	65	-0.7	.196/.267/.342	.146	.271	17	7	33%	8%	69	-0.4	.206/.283/.412	.206	.265	29	1	33%	8%	91	+0.6
✕Jeferson Morales 2023 · A	24	39→46	46→45	49→50	44	.197/.277/.329	.131	.260	14	9	29%	7%	69	-0.4	.215/.289/.346	.131	.275	13	9	25%	7%	78	+0.2	.223/.298/.355	.132	.277	12	8	23%	7%	81	+0.2
✕Trent Woodward 2015 · A	23	43	41→45	47→30	47	.209/.286/.311	.102	.282	7	6	27%	8%	68	-0.5	.220/.287/.309	.089	.311	7	4	29%	8%	67	-0.5	.218/.288/.304	.087	.309	9	1	30%	8%	63	-0.3
✕John Hester 2007 · A	23	42	43→55	50	41	.206/.271/.327	.122	.299	10	7	33%	7%	65	-0.7	.224/.267/.365	.141	.298	14	7	29%	5%	72	-0.2	.249/.292/.416	.167	.322	15	10	27%	5%	94	+0.7
✕Miguel Amaya 2022 · AA	23	42	44→50	49→40	49	.210/.296/.330	.120	.268	12	7	25%	9%	78	+0.2	.225/.309/.364	.139	.303	15	5	29%	8%	92	+1.2	.233/.304/.378	.146	.278	16	1	22%	7%	91	+0.5
✕Blaze Alexander 2021 · A	22	45→48	42→50	51→50	43	.218/.284/.328	.110	.300	9	11	29%	7%	71	-0.3	.204/.275/.332	.128	.317	14	12	38%	7%	69	-0.4	.220/.308/.345	.126	.328	13	10	34%	8%	84	+0.4
✕Alex Isola 2021 · A	23	46→43	45→50	49→40	44	.228/.280/.350	.122	.284	12	8	24%	6%	74	-0.1	.216/.283/.365	.149	.274	20	4	28%	8%	81	+0.4	.212/.282/.359	.148	.263	20	2	27%	8%	76	+0.0
✕Andrew Knapp 2015 · A	23	45→55	41→45	46→40	39	.217/.266/.320	.103	.308	8	6	31%	6%	60	-1.0	.240/.299/.362	.122	.333	10	3	29%	7%	85	+0.7	.247/.314/.370	.123	.340	11	2	28%	8%	88	+0.6
✕Marcus Littlewood 2015 · A	23	42	42→45	49→45	48	.205/.274/.312	.107	.264	9	5	25%	8%	62	-0.9	.209/.270/.325	.116	.274	11	5	26%	8%	63	-0.8	.205/.258/.318	.113	.268	12	3	28%	7%	54	-0.7
✕Luis Lara 2018 · A	23	46	44→45	52→45	48	.226/.285/.348	.122	.272	10	6	21%	7%	76	+0.0	.201/.267/.278	.077	.279	5	5	27%	8%	50	-1.7	.159/.237/.177	.019	.231	0	2	28%	9%	9	-1.4
●Eduardo Valencia 2023 · A	23	44→54	42→50	49→30	45	.215/.282/.315	.100	.276	10	5	25%	7%	67	-0.5	.222/.280/.345	.123	.283	14	4	26%	7%	73	-0.1	.250/.305/.416	.166	.304	22	0	25%	6%	100	+1.0
✕Jose Lobatón 2008 · A	23	43	45	43→30	46	.215/.286/.337	.123	.293	12	3	30%	8%	74	-0.1	.217/.277/.339	.122	.291	13	3	28%	7%	70	-0.3	.241/.325/.370	.129	.305	12	0	23%	11%	94	+0.6
✕Christopher Familia 2023 · A	23	40	45→55	47→45	45	.204/.281/.326	.122	.262	13	8	27%	7%	70	-0.3	.219/.278/.391	.172	.284	22	4	30%	6%	85	+0.7	.215/.266/.411	.196	.270	28	0	32%	5%	81	+0.2
✕Jhoneiker Betancourt 2023 · A	23	43	40→50	50→40	43	.207/.281/.298	.092	.283	7	6	28%	7%	63	-0.9	.204/.276/.336	.132	.276	16	3	31%	7%	70	-0.3	.179/.260/.330	.151	.234	22	0	33%	7%	67	-0.2
✕Andrew Susac 2013 · A	23	42→39	43→50	46→30	45	.207/.280/.320	.113	.292	11	4	31%	8%	67	-0.5	.217/.291/.360	.143	.291	16	3	29%	9%	82	+0.5	.217/.295/.373	.156	.282	19	1	29%	9%	85	+0.3
✕Ramon Santana 2009 · A	23	43→53	44→45	49→45	39	.208/.278/.329	.120	.301	12	9	33%	6%	69	-0.4	.217/.280/.327	.110	.323	9	7	33%	6%	69	-0.4	.212/.276/.321	.109	.318	8	4	33%	6%	62	-0.4
✕P.J. Higgins 2016 · A	23	44→54	41→45	54→40	42	.215/.265/.321	.106	.286	8	8	27%	6%	59	-1.1	.230/.300/.300	.070	.287	3	4	19%	8%	69	-0.4	.241/.304/.366	.126	.307	13	3	24%	8%	87	+0.5
✕Mike Rothenberg 2022 · A	23	47	41→55	49→30	47	.224/.300/.325	.101	.294	7	6	25%	8%	77	+0.1	.189/.269/.309	.120	.337	13	3	44%	9%	60	-1.0	.157/.246/.287	.130	.296	16	1	48%	9%	43	-1.1
✕Dane Phillips 2014 · A	23	44→48	42→55	51→40	41	.215/.262/.324	.109	.281	9	5	26%	5%	59	-1.1	.232/.278/.376	.144	.297	14	6	26%	5%	80	+0.4	.242/.286/.410	.168	.303	16	4	25%	5%	89	+0.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)