Maikol Hernández

Maikol HernándezSS Norfolk Tides

Age 22 R/R 6'3" / 175 lbs AAA HR +8%BB -5% Svc 0.0 · Ctrl thru 2033 peak 0.2 · 2030

wRC+†32

AVG/OBP/SLG.172 / .251 / .247

PA320

HR3

K%36

BB%8

MLB%10%

Scouting · now → future

HIT

20→20

PWR

25→25

SPD

45→45

EYE

49↗60

trajectory · 10 yrs

0.2peak

2030

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	—	—	—
2029	Arb-1	$0.8M	—	—	—
2030	Arb-2	$0.9M	+0.2	$0.9M	+$0.0M
2031	Arb-3	$0.4M	+0.2	$0.9M	+$0.5M
2032	Ext / FA-deal	$0.7M	+0.1	$0.5M	-$0.2M
2033	Ext / FA-deal	$7M	—	—	—
Totals		$9M		$1.0M	-$8M

Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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 Orioles 1	156	138	24	6	1	0	12	48	3	4	3	.174	.255	.232	.487	.058	.258	31	8	.213	21	-14	-0	+0	+2	+4	-0.8
2022	18	ROK	FCL Orioles	175	156	15	4	0	0	11	86	7	7	2	.096	.190	.122	.311	.026	.211	49	6	.151	-26	-25	+1	+0	+2	+5	-1.8
2023	19	ROK	FCL Orioles	159	142	16	4	0	1	9	51	8	1	3	.113	.208	.162	.370	.049	.167	32	6	.177	-6	-19	-1	+0	+2	+5	-1.4
2024	20	A	2 teams	283	253	34	4	1	2	19	94	6	10	1	.134	.212	.182	.394	.047	.199	33	7	.187	1	-32	+2	+0	+3	+8	-1.9
2025	21	A	2 teams	367	318	48	10	1	3	31	145	4	9	3	.151	.235	.217	.452	.066	.254	40	8	.199	11	-37	+1	+0	+4	+10	-2.3
▸ 2026 Season (actual · ROS · total)
2026	22	AAA	2 teams	35	31	5	0	0	0	3	14	0	0	0	.161	.235	.161	.397	.000	.294	40	9	.190	4	-4	+0	+0	+0	+1	-0.2
ROS	22	MLB	BAL	285	256	45	8	1	3	24	104	3	4	1	.176	.254	.250	.504	.074	.273	36	8	.231	35	-21	+0	+0	+3	+8	-1.0
TOT	22	MLB	BAL	320	287	50	8	1	3	27	118	3	4	1	.174	.252	.240	.493	.066	.281	37	8	.227	32	-25	+0	+0	+3	+9	-1.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 27%	BAL	449	401	76	13	2	7	40	142	5	7	2	.190	.271	.284	.556	.095	.267	32	9	.252	51	-25	+1	+0	+5	+13	-0.7
2028	24	MLB 45%	BAL	491	437	85	15	2	9	45	151	6	8	2	.195	.279	.300	.578	.105	.270	31	9	.263	60	-22	+1	+0	+5	+14	-0.2
2029	25	MLB 59%	BAL	512	453	91	16	2	10	48	154	6	8	2	.201	.286	.311	.597	.110	.272	30	9	.270	65	-20	+1	+0	+5	+15	0.0
2030	26	MLB 77%	BAL	522	462	93	16	2	11	49	156	6	8	2	.201	.286	.316	.602	.115	.273	30	9	.273	67	-19	+1	+0	+6	+15	0.2
2031	27	MLB	BAL	524	463	93	16	2	11	50	157	6	8	2	.201	.287	.315	.602	.114	.273	30	10	.273	67	-19	+1	+0	+6	+15	0.2
2032	28	MLB	BAL	520	459	91	16	2	10	50	157	6	8	1	.198	.285	.307	.593	.109	.273	30	10	.272	66	-20	+1	-1	+6	+15	0.1
2033	29	MLB	BAL	511	450	89	15	2	10	50	156	6	7	1	.198	.287	.307	.593	.109	.272	31	10	.270	65	-20	+1	-1	+5	+14	-0.1
2034	30	MLB	BAL	501	441	86	15	2	9	49	155	6	6	1	.195	.284	.299	.584	.104	.270	31	10	.267	62	-21	+1	-2	+5	+14	-0.3
2035	31	MLB	BAL	487	432	82	14	1	9	47	152	5	5	0	.190	.277	.289	.566	.100	.269	31	10	.263	60	-22	+1	-3	+5	+14	-0.5
2036	32	MLB	BAL	469	416	77	13	1	8	45	149	5	3	0	.185	.273	.279	.551	.094	.267	32	10	.259	56	-23	+1	-4	+5	+13	-0.8
2037	33	MLB	BAL	439	389	71	12	1	7	42	143	5	3	0	.183	.271	.272	.543	.090	.265	33	10	.253	52	-24	+1	-4	+5	+12	-1.0
2038	34	MLB	BAL	394	349	62	10	1	6	38	131	4	2	0	.178	.266	.264	.530	.086	.263	33	10	.247	47	-23	+0	-5	+4	+11	-1.3
▸ Career Totals (MLE all levels + projections)
Career	—			7244	6415	1178	207	24	116	659	2331	97	108	26	.184	.270	.278	.547	.094	.265	32	9	.251	50	-408	+11	-20	+78	+205	-13.6
/ 162G	—			650	576	106	19	2	10	59	209	9	10	2	.184	.270	.276	.546	.092	.266	32	9	.251	50	-37	+1	-2	+7	+18	-1.2

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 Orioles 1	156	130	30	8	1	0	20	33	3	4	3	.231	.346	.308	.654	.077	.300	21	13	.302	89	-2	-0	—	—	+4	0.2
2022	18	ROK	FCL Orioles	175	148	23	7	0	0	19	59	7	7	2	.155	.282	.203	.484	.047	.256	34	11	.239	41	-12	+1	—	—	+5	-0.6
2023	19	ROK	FCL Orioles	159	134	24	6	0	2	17	33	8	1	3	.179	.308	.269	.577	.090	.222	21	11	.277	70	-5	-1	—	—	+5	-0.2
2024	20	A	Delmarva Shorebirds	235	201	36	5	1	2	27	60	3	10	1	.179	.286	.244	.529	.065	.239	26	11	.249	49	-14	+2	—	—	+7	-0.5
2024	20	ROK	FCL Orioles	48	41	6	2	1	0	3	11	3	0	0	.146	.255	.244	.499	.098	.194	23	6	.233	37	-3	+0	—	—	+1	-0.2
2025	21	A+	Aberdeen IronBirds	99	86	19	5	0	1	8	28	0	4	0	.221	.287	.314	.601	.093	.300	28	8	.261	58	-5	+1	—	—	+3	-0.1
2025	21	A	Delmarva Shorebirds	268	214	37	7	1	2	41	76	4	5	3	.173	.317	.243	.560	.070	.250	28	15	.264	60	-12	-0	—	—	+8	-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
Maikol Hernández (OGILVIE)	22	20	25	45	60	.172/.251/.247	.076	.272	3	5	36%	8%	37	-1.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Braulio Vasquez 2021 · A	22	40	39→40	44→65	37	.193/.250/.274	.080	.298	7	7	36%	6%	42	-2.3	.205/.278/.298	.093	.301	7	29	32%	7%	61	-1.0	.200/.277/.293	.093	.287	7	42	30%	7%	55	-0.6
✕Willy Diaz 2016 · A	22	39	38→40	43→40	46	.186/.274/.266	.080	.279	6	4	32%	9%	52	-1.6	.188/.257/.266	.078	.330	4	5	41%	7%	43	-2.2	.169/.224/.243	.075	.318	2	4	44%	5%	20	-1.2
✕Glenn Santiago 2023 · A	22	41	41→40	46→45	40	.203/.258/.301	.098	.286	8	8	31%	6%	52	-1.6	.200/.266/.289	.089	.294	8	9	32%	7%	53	-1.5	.183/.256/.260	.077	.269	7	8	32%	8%	40	-1.1
✕Juan Zabala 2021 · A	22	39	38→40	47→50	37	.185/.248/.266	.081	.290	6	5	36%	6%	40	-2.4	.211/.273/.305	.094	.302	9	13	31%	7%	60	-1.0	.203/.265/.285	.083	.283	8	16	30%	7%	48	-0.8
✕Franklin Tineo 2017 · A	22	36	37→45	45→50	45	.177/.245/.250	.073	.241	5	9	27%	7%	34	-2.8	.198/.276/.297	.099	.276	8	10	29%	8%	60	-1.0	.201/.298/.325	.124	.262	10	12	25%	10%	74	-0.0
✕Frank Veliz 2022 · A	22	39	37→30	48→55	38	.187/.242/.261	.074	.285	5	8	34%	6%	35	-2.8	.191/.251/.276	.085	.325	6	6	40%	7%	43	-2.2	.133/.206/.210	.077	.245	7	0	46%	7%	4	-0.8
✕Claudio Finol 2022 · A	22	40	38→40	45	41	.193/.251/.277	.084	.263	5	6	28%	6%	43	-2.2	.195/.252/.280	.085	.275	7	9	30%	6%	45	-2.1	.195/.264/.279	.084	.281	10	12	32%	7%	48	-0.5
✕Arturo De Freitas 2023 · A	22	35	39→45	45→40	34	.177/.225/.258	.082	.279	7	4	38%	5%	27	-3.3	.181/.235/.260	.079	.301	7	5	40%	6%	32	-3.0	.113/.162/.125	.012	.213	0	0	44%	5%	-37	-1.5
✕Aaron McKeithan 2022 · A	22	41	39→40	49→40	40	.198/.263/.282	.084	.277	6	7	29%	6%	50	-1.7	.218/.296/.304	.086	.283	8	4	24%	7%	70	-0.3	.219/.302/.289	.070	.280	7	1	22%	7%	69	-0.2
✕Gilbert Gomez 2014 · A	22	42→38	37→40	41→50	43	.198/.265/.268	.069	.299	4	7	33%	8%	46	-2.0	.183/.262/.260	.077	.286	4	8	34%	9%	44	-2.1	.155/.245/.234	.079	.240	4	8	34%	10%	29	-1.5
✕Luis Sanchez 2008 · A	21	38	36→30	46→40	44	.181/.255/.243	.062	.263	4	7	31%	8%	37	-2.7	.198/.257/.251	.053	.277	2	4	27%	7%	39	-2.5	.190/.247/.234	.043	.266	1	2	27%	7%	27	-1.6
✕Gerardo Bustamante 2008 · A	22	38	39→40	43→50	40	.189/.237/.271	.082	.263	7	4	30%	6%	35	-2.8	.197/.256/.275	.078	.268	5	5	27%	7%	45	-2.1	.219/.256/.308	.088	.269	11	12	23%	4%	49	-0.6
✕David Masters 2015 · A	22	38→36	36→45	48→40	39	.184/.246/.253	.070	.273	4	8	32%	6%	35	-2.8	.177/.234/.246	.069	.238	6	4	27%	6%	28	-3.2	.191/.262/.324	.132	.263	17	1	33%	7%	57	-0.5
✕Francisco Acuna 2022 · A	22	39→47	39→40	48→50	44	.186/.276/.275	.089	.270	6	10	31%	8%	56	-1.3	.202/.273/.299	.097	.277	7	11	28%	6%	59	-1.1	.213/.285/.313	.100	.282	9	16	26%	7%	64	-0.4
✕Steven Baron 2012 · A	21	34	39→45	45→50	36	.174/.218/.256	.082	.253	7	7	34%	5%	23	-3.6	.191/.228/.286	.095	.265	7	9	29%	4%	35	-2.8	.233/.289/.308	.075	.313	4	8	25%	7%	63	-0.4
✕Justin Twine 2018 · A	22	35→30	37→40	46→50	30	.173/.210/.242	.070	.266	4	7	36%	3%	16	-4.1	.208/.247/.294	.086	.301	6	10	32%	3%	45	-2.1	.212/.248/.304	.092	.317	7	14	34%	3%	46	-1.1
✕Joey Armstrong 2016 · A	22	40	37→40	44→45	44	.191/.251/.263	.072	.266	5	5	29%	7%	40	-2.4	.208/.275/.287	.079	.300	4	7	30%	7%	56	-1.3	.212/.286/.292	.080	.310	4	8	30%	7%	58	-0.5
✕Dylan Neuse 2023 · A	24	37	39→40	49→50	44	.183/.260/.264	.081	.271	8	14	33%	9%	45	-2.1	.205/.286/.296	.091	.292	7	13	29%	9%	63	-0.8	.211/.301/.305	.094	.293	5	13	27%	10%	72	-0.1
✕Mike Martin 2016 · A	23	41	35→30	52→55	42	.188/.277/.248	.060	.302	3	12	35%	8%	49	-1.8	.222/.280/.282	.060	.288	3	17	22%	6%	56	-1.3	.244/.292/.297	.053	.299	2	23	18%	5%	62	-0.3
✕Fabian Pertuz 2023 · A	22	39→35	41→40	49→55	34	.191/.234/.284	.092	.286	8	9	35%	4%	37	-2.6	.177/.227/.268	.091	.270	9	12	36%	5%	30	-3.1	.148/.203/.232	.084	.229	9	13	38%	5%	9	-2.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)