Alexis Hernandez

Alexis HernandezSS Myrtle Beach Pelicans

Age 21 R/R 6'1" / 155 lbs A BB +5%HR -4% Svc 0.0 · Ctrl thru 2036 peak 1.2 · 2031

wRC+†40

AVG/OBP/SLG.192 / .267 / .298

PA271

HR5

SB11

K%34

BB%8

MLB%0%

Scouting · now → future

HIT

20↗25

PWR

32↗37

SPD

54↗59

EYE

48↗53

trajectory · 10 yrs

1.3peak

2032

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	+1.2	$11M	+$10M
2032	Ext / FA-deal	$0.9M	+1.2	$11M	+$11M
2033	Ext / FA-deal	$1.0M	+1.1	$11M	+$10M
2034	Ext / FA-deal	$2M	+0.9	$5M	+$3M
2035	Ext / FA-deal	$3M	+0.8	$4M	+$1M
2036	Ext / FA-deal	$2M	+0.5	$3M	+$0.2M
Totals		$10M		$45M	+$35M

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
2022	17	ROK	DSL Cubs Red	141	130	22	4	0	1	9	41	1	10	4	.169	.229	.223	.452	.054	.236	29	6	.211	20	-13	+0	+0	+2	+4	-0.7
2023	18	ROK	ACL Cubs	150	137	26	5	2	2	11	72	2	9	2	.190	.260	.299	.559	.109	.381	48	7	.250	50	-9	+1	+0	+2	+4	-0.2
2024	19	A	Myrtle Beach Pelicans	204	184	19	1	0	2	18	109	1	10	0	.103	.187	.141	.328	.038	.233	53	9	.149	-28	-29	+2	+0	+2	+6	-2.0
2025	20	ROK	3 teams	281	256	46	10	1	2	19	87	3	17	6	.180	.245	.250	.495	.070	.259	31	7	.217	25	-24	+1	+0	+3	+8	-1.2
▸ 2026 Season (actual · ROS · total)
2026	21	A	Myrtle Beach Pelicans	43	38	4	1	1	0	4	18	0	4	0	.105	.190	.184	.375	.079	.190	42	9	.162	-18	-6	+1	+0	+0	+1	-0.3
ROS	21	MLB	CHC	228	205	38	8	1	4	19	79	2	7	1	.185	.261	.293	.554	.107	.276	35	8	.252	51	-13	+1	+0	+2	+6	-0.3
TOT	21	MLB	CHC	271	243	42	9	2	4	23	97	2	11	1	.173	.250	.276	.526	.103	.264	36	8	.238	40	-18	+2	+0	+3	+8	-0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 11%	CHC	330	293	58	11	2	7	31	96	3	9	1	.198	.281	.321	.602	.123	.264	29	9	.272	67	-12	+1	+0	+4	+9	0.2
2028	23	MLB 28%	CHC	411	364	73	14	2	9	40	115	4	11	2	.201	.287	.324	.611	.124	.267	28	10	.282	74	-12	+1	+0	+4	+12	0.5
2029	24	MLB 45%	CHC	465	412	86	17	3	11	46	128	4	12	2	.209	.294	.345	.639	.136	.269	28	10	.288	79	-11	+2	+0	+5	+13	0.9
2030	25	MLB 60%	CHC	495	437	92	18	3	12	50	134	5	13	2	.211	.299	.348	.647	.137	.270	27	10	.292	82	-10	+2	+0	+5	+14	1.1
2031	26	MLB 77%	CHC	511	448	95	18	3	13	53	139	5	13	2	.212	.302	.353	.655	.141	.270	27	10	.294	83	-10	+2	+0	+5	+14	1.2
2032	27	MLB 92%	CHC	517	453	95	18	3	13	54	141	5	13	2	.210	.301	.349	.650	.139	.270	27	10	.294	83	-10	+2	+0	+6	+15	1.2
2033	28	MLB	CHC	516	452	95	18	3	13	54	142	5	12	1	.210	.301	.350	.651	.139	.270	28	10	.293	82	-10	+2	-1	+6	+15	1.1
2034	29	MLB	CHC	508	444	93	18	3	13	54	141	5	11	1	.209	.302	.351	.654	.142	.269	28	11	.291	81	-11	+2	-1	+5	+14	0.9
2035	30	MLB	CHC	499	438	89	17	2	12	53	140	5	11	0	.203	.296	.333	.630	.130	.267	28	11	.288	78	-12	+2	-2	+5	+14	0.8
2036	31	MLB	CHC	486	428	85	16	2	11	51	138	4	9	0	.199	.290	.322	.612	.124	.266	28	10	.284	75	-13	+2	-3	+5	+14	0.5
2037	32	MLB	CHC	468	412	80	15	2	10	49	136	4	8	0	.194	.286	.313	.599	.119	.264	29	10	.279	72	-15	+2	-4	+5	+13	0.2
2038	33	MLB	CHC	439	386	74	14	2	9	46	130	4	7	0	.192	.284	.308	.593	.117	.262	30	10	.274	68	-16	+1	-4	+5	+12	-0.2
2039	34	MLB	CHC	393	346	65	12	2	8	41	120	3	7	0	.188	.279	.303	.583	.116	.260	31	10	.268	63	-16	+1	-5	+4	+11	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			7042	6225	1231	234	36	152	698	2088	65	189	26	.198	.285	.320	.606	.122	.268	30	10	.275	69	-247	+27	-20	+75	+200	3.6
/ 162G	—			650	575	114	22	3	14	64	193	6	17	2	.198	.285	.320	.605	.122	.270	30	10	.275	69	-23	+3	-2	+7	+18	0.3

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
2022	17	ROK	DSL Cubs Red	141	123	30	6	0	2	16	27	1	10	4	.244	.336	.341	.677	.098	.295	19	11	.310	95	-1	+0	—	—	+4	0.4
2023	18	ROK	ACL Cubs	150	130	41	9	4	3	18	50	2	9	2	.315	.407	.515	.922	.200	.494	33	12	.406	169	+12	+1	—	—	+4	1.7
2024	19	A	Myrtle Beach Pelicans	204	174	25	1	0	2	28	76	1	10	0	.144	.266	.184	.450	.040	.240	37	14	.224	29	-16	+2	—	—	+6	-0.9
2025	20	A+	South Bend Cubs	52	42	11	2	0	1	10	10	0	1	0	.262	.404	.381	.785	.119	.323	19	19	.363	136	+2	+0	—	—	+1	0.4
2025	20	A	Myrtle Beach Pelicans	93	81	14	4	0	0	7	22	3	4	2	.173	.264	.222	.486	.049	.230	24	8	.229	33	-7	+0	—	—	+3	-0.4
2025	20	ROK	ACL Cubs	136	122	32	7	2	1	13	28	0	12	4	.262	.333	.377	.710	.115	.330	21	10	.318	102	+0	+1	—	—	+4	0.5

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
Alexis Hernandez (OGILVIE)	21	20→25	32→37	54→59	53	.192/.267/.298	.105	.284	5	6	34%	8%	57	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nelson Medina 2022 · A	21	39	39→45	53→50	46	.186/.268/.273	.087	.271	6	14	31%	9%	50	-1.7	.188/.261/.284	.096	.328	7	13	41%	8%	50	-1.7	.138/.200/.215	.077	.281	6	16	50%	7%	4	-1.7
✕Sean Coyle 2013 · A	21	37→36	45→50	54→50	38	.192/.253/.319	.127	.271	12	13	33%	6%	56	-1.3	.204/.262/.355	.151	.295	18	14	36%	6%	69	-0.4	.197/.258/.362	.165	.284	22	15	38%	7%	67	-0.3
✕Robert Gonzalez 2021 · A	20	41	40→45	54→60	47	.189/.291/.289	.100	.303	7	8	36%	10%	66	-0.6	.201/.301/.282	.081	.273	6	17	26%	10%	68	-0.5	.180/.308/.228	.048	.225	5	30	19%	12%	56	-0.5
✕Christian Cairo 2022 · A	21	39→47	40	52→60	45	.186/.279/.272	.086	.285	7	15	34%	9%	56	-1.3	.195/.294/.278	.083	.290	6	17	31%	11%	63	-0.8	.215/.301/.289	.073	.310	4	35	29%	9%	66	-0.3
✕Tucker Mitchell 2023 · A	22	38	43→50	51→45	35	.183/.259/.287	.104	.311	11	11	42%	6%	51	-1.7	.198/.263/.310	.112	.287	13	7	34%	6%	58	-1.2	.185/.242/.280	.095	.261	13	5	33%	5%	38	-1.0
✕Jase Bowen 2022 · A	21	37→40	42→45	53→55	35	.184/.244/.282	.097	.281	10	12	37%	5%	43	-2.2	.196/.251/.317	.121	.287	14	16	35%	5%	54	-1.4	.198/.249/.325	.127	.276	15	22	33%	5%	52	-1.2
✕Jorge Alcantara 2013 · A	21	43	41→45	50	43	.204/.273/.304	.100	.299	8	11	32%	8%	59	-1.1	.191/.262/.285	.094	.292	6	14	34%	8%	50	-1.7	.147/.226/.244	.097	.221	6	25	34%	8%	24	-0.9
✕Ismael Alcantara 2021 · A	22	42→30	38→45	56→50	41	.197/.266/.279	.082	.311	5	16	36%	8%	50	-1.7	.214/.271/.343	.129	.318	13	13	35%	6%	69	-0.4	.203/.261/.318	.115	.298	12	16	35%	6%	54	-0.8
✕Frankeny Fernandez 2017 · A	20	37	38→40	54→60	42	.177/.252/.256	.078	.282	5	19	36%	8%	39	-2.5	.189/.255/.265	.076	.277	5	11	31%	7%	42	-2.3	.172/.238/.215	.043	.239	3	6	27%	7%	20	-1.1
✕Johan Mieses 2016 · A	21	41→32	45→55	53→50	39	.208/.253/.334	.126	.273	12	15	28%	5%	59	-1.1	.188/.236/.349	.161	.267	20	5	37%	5%	56	-1.3	.194/.269/.375	.181	.237	26	7	31%	7%	74	-0.0
✕Payton Henry 2018 · A	21	40→31	41→45	46→30	38	.191/.255/.294	.102	.304	8	4	38%	7%	50	-1.7	.187/.253/.289	.102	.316	10	2	41%	6%	48	-1.9	.246/.293/.382	.135	.322	19	1	29%	4%	83	+0.2
✕Carlos Dominguez 2021 · A	21	43→27	42→45	51→50	36	.201/.283/.313	.112	.310	9	12	35%	5%	68	-0.5	.173/.247/.300	.127	.331	15	12	50%	5%	50	-1.8	.134/.213/.254	.119	.278	17	13	54%	6%	21	-1.6
✕Brandon Dailey 2013 · A	21	42	40→45	55	38	.205/.251/.300	.096	.293	7	12	32%	5%	49	-1.8	.195/.247/.295	.100	.280	9	6	32%	6%	46	-2.0	.144/.200/.220	.075	.194	6	0	28%	5%	7	-1.1
✕Max George 2016 · A	20	39→37	40→45	53→55	42	.188/.270/.278	.090	.290	7	14	35%	8%	53	-1.5	.184/.262/.290	.106	.252	10	14	30%	7%	53	-1.5	.162/.248/.288	.126	.217	14	23	31%	7%	44	-1.3
✕Cayden Wallace 2023 · A	21	46→43	43→45	56→50	42	.224/.277/.340	.116	.301	9	15	28%	6%	70	-0.3	.218/.275/.336	.118	.288	10	12	27%	6%	69	-0.4	.212/.270/.327	.116	.280	10	13	27%	6%	62	-0.6
✕Ameilis Carvajal 2009 · A	20	40	39→40	50	47	.189/.277/.272	.083	.292	6	12	34%	10%	54	-1.4	.193/.265/.266	.073	.318	4	10	37%	8%	46	-2.0	.140/.204/.175	.034	.267	0	8	44%	7%	-3	-1.2
✕Iverson Leonardo 2023 · A	21	37	44→50	49→50	40	.188/.259/.305	.117	.281	12	9	36%	7%	55	-1.4	.194/.278/.291	.097	.346	7	8	42%	9%	59	-1.1	.146/.273/.221	.075	.359	3	4	52%	12%	39	-0.5
✕Corey Joyce 2022 · AA	23	41	39→45	53→50	39	.193/.262/.274	.080	.300	7	13	36%	7%	48	-1.9	.208/.307/.328	.120	.294	12	12	31%	10%	82	+0.5	.212/.315/.318	.105	.301	9	14	29%	10%	80	+0.2
✕Jeter Downs 2019 · A	21	42→41	43→50	52→55	44	.207/.272/.315	.108	.262	11	18	25%	7%	63	-0.9	.208/.274/.359	.151	.269	18	18	29%	7%	75	-0.0	.178/.268/.330	.152	.242	18	26	33%	8%	64	-0.3
✕Max Wagner 2023 · A	21	46→37	42→45	52→55	42	.217/.290/.322	.105	.306	8	9	30%	7%	72	-0.2	.194/.262/.312	.118	.294	11	16	36%	7%	57	-1.2	.186/.253/.300	.114	.281	11	17	36%	7%	47	-1.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)