Cristian Hernández

Cristian HernándezSS Pensacola Blue Wahoos

Age 22 R/R 6'2" / 200 lbs AA HR -10%H -3% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION484 act + 9 ros · stats below = ROS only

showingROS

wRC+†68

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP278

ISO95

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$12M ctrl surplus

Tools · ContractCON 45 / POW 50

Toolsscout grade

CONTACT45

scouting grade only

POWER50

scouting grade only

EYE54

scouting grade only

SPEED55

scouting grade only

DEFENSE50

scouting grade only

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.5	$2M	+$1.0M
2030	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2031	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2032	Arb-1	$3M	+0.6	$2M	+$0.0M (cut)
2033	Arb-2	$5M	+0.5	$1M	+$0.0M (cut)
2034	Arb-3	$6M	+0.4	$0.9M	+$0.0M (cut)
Totals		$3M		$9M	+$3M

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.

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 Cubs Blue	—	191	158	45	5	1	5	30	39	1	21	3	285	402	424	826	139	345	20	16	371	137	+8	+3	—	—	+4	1.6
2022	18	ROK	ACL Cubs	—	175	157	41	4	1	3	13	53	2	6	3	261	326	357	682	96	365	30	7	305	93	-2	+0	—	—	+4	0.2
2023	19	A	Myrtle Beach Pelicans	—	431	385	86	12	3	4	39	118	5	27	5	223	303	301	604	78	309	27	9	279	75	-13	+3	—	—	+9	-0.0
2024	20	A+	South Bend Cubs	—	99	83	19	2	1	0	15	19	0	7	3	229	347	277	624	48	292	19	15	294	85	-2	+0	—	—	+2	0.1
2024	20	A	Myrtle Beach Pelicans	—	414	350	94	25	4	5	60	95	4	37	5	269	382	406	787	137	356	23	14	358	128	+14	+5	—	—	+9	2.9
2025	21	A+	South Bend Cubs	—	507	444	112	25	2	7	53	105	1	52	9	252	331	365	696	113	311	21	10	312	97	-2	+7	—	—	+11	1.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Cubs Blue	—	191	170	35	3	1	2	18	56	1	21	3	206	286	271	556	65	283	29	9	257	60	-9	+3	—	—	+4	-0.2
2022	18	ROK MLE	ACL Cubs	—	175	162	28	2	1	2	8	78	2	6	3	173	221	235	455	62	289	45	5	200	22	-16	+0	—	—	+4	-1.3
2023	19	A MLE	Myrtle Beach Pelicans	—	431	399	68	9	2	3	25	166	5	27	5	170	228	226	454	55	277	39	6	207	26	-38	+3	—	—	+9	-2.6
2024	20	A+ MLE	South Bend Cubs	—	99	88	17	2	1	0	10	26	0	7	3	193	276	239	514	45	264	26	10	237	47	-6	+0	—	—	+2	-0.4
2024	20	A MLE	Myrtle Beach Pelicans	—	414	374	82	20	3	5	36	137	4	37	5	219	295	329	624	110	330	33	9	276	73	-13	+5	—	—	+9	0.1
2025	21	A+ MLE	South Bend Cubs	—	507	464	97	21	2	5	36	135	1	52	9	209	267	295	563	86	272	27	7	250	55	-27	+7	—	—	+11	-0.9
2021	17	ROK MLE	DSL Cubs Blue	—	191	170	35	3	1	2	18	56	1	21	3	206	286	271	556	65	289	29	9	257	60	—	—	—	—	—	—
2021	17	ROK RAW	DSL Cubs Blue	—	191	158	45	5	1	5	30	39	1	21	3	285	402	424	826	139	345	20	16	371	60	—	—	—	—	—	—
2022	18	ROK MLE	ACL Cubs	—	175	162	28	2	1	2	8	78	2	6	3	173	221	235	455	62	306	45	5	200	22	—	—	—	—	—	—
2022	18	ROK RAW	ACL Cubs	—	175	157	41	4	1	3	13	53	2	6	3	261	326	357	682	96	365	30	7	305	22	—	—	—	—	—	—
2023	19	A MLE	Myrtle Beach Pelicans	—	431	399	68	9	2	3	25	166	5	27	5	170	228	226	454	55	280	39	6	207	26	—	—	—	—	—	—
2023	19	A RAW	Myrtle Beach Pelicans	—	431	385	86	12	3	4	39	118	5	27	5	223	303	301	604	78	309	27	9	279	26	—	—	—	—	—	—
2024	20	A MLE	2 teams	—	513	461	100	22	4	5	47	163	4	44	8	217	295	315	609	98	323	32	9	268	68	—	—	—	—	—	—
2024	20	A RAW	2 teams	—	513	433	113	27	5	5	75	114	4	44	8	261	375	381	756	120	343	22	15	345	68	—	—	—	—	—	—
2025	21	A+ MLE	South Bend Cubs	—	507	464	97	21	2	5	36	135	1	52	9	209	267	295	563	86	279	27	7	250	55	—	—	—	—	—	—
2025	21	A+ RAW	South Bend Cubs	—	507	444	112	25	2	7	53	105	1	52	9	252	331	365	696	113	311	21	10	312	55	—	—	—	—	—	—
2021	17	ROK MLE	DSL Cubs Blue	—	191	170	35	3	1	2	18	56	1	21	3	206	286	271	556	65	283	29	9	257	60	—	—	—	—	—	—
2022	18	ROK MLE	ACL Cubs	—	175	163	28	2	1	2	8	78	2	6	3	172	221	233	454	61	289	45	5	200	22	—	—	—	—	—	—
2023	19	A MLE	Myrtle Beach Pelicans	—	431	398	68	9	2	3	25	166	5	27	5	171	228	226	455	55	277	39	6	207	26	—	—	—	—	—	—
2024	20	A MLE	2 teams	—	513	457	100	22	4	5	47	163	4	44	8	219	295	317	612	98	317	32	9	268	68	—	—	—	—	—	—
2025	21	A+ MLE	South Bend Cubs	—	507	465	97	21	2	5	36	135	1	52	9	209	267	295	562	86	272	27	7	250	55	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	A MLE	Myrtle Beach Pelicans	—	431	398	68	9	2	3	25	166	5	27	5	171	228	226	455	55	277	39	6	207	26	—	—	—	—	—	—
2024	20	A MLE	2 teams	—	513	457	100	22	4	5	47	163	4	44	8	219	295	317	612	98	317	32	9	268	68	—	—	—	—	—	—
2025	21	A+ MLE	South Bend Cubs	—	507	465	97	21	2	5	36	135	1	52	9	209	267	295	562	86	272	27	7	250	55	—	—	—	—	—	—
YTD	22	AA MLE	MIA	—	484	442	95	25	0	10	37	148	2	35	8	215	279	339	618	124	297	31	8	269	68	-18	+4	+0	+5	+10	0.1
▸ 2026 season
YTD	22	AA RAW	MIA	—	484	426	107	29	0	13	53	121	2	35	8	251	337	411	748	160	320	25	11	334	68	—	—	—	—	—	—
ROS	22	AA MLE	MIA	2%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		287	33	11	268	68	-0	+0	+0	+0	+0	-0.0
TOT	22	AA MLE	MIA	—	493	450	96	25	0	10	38	151	2	35	8	213	278	336	613	122	296	31	8	269	68	-19	+4	+0	+5	+11	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	MIA	26%	554	503	108	25	1	11	43	159	3	16	3	215	281	334	615	119	288	29	8	277	74	-17	+2	+0	+6	+12	0.3
2028	24	MLB MLE	MIA	37%	597	542	119	27	1	14	47	166	3	14	3	220	285	351	636	131	289	28	8	288	81	-14	+2	+0	+6	+13	0.8
2029	25	MLB MLE	MIA	43%	615	556	126	28	2	16	50	168	4	13	3	227	295	371	666	144	289	27	8	294	85	-11	+1	+0	+7	+13	1.1
2030	26	MLB MLE	MIA	47%	627	567	128	28	2	17	51	171	4	13	3	226	294	372	666	146	290	27	8	297	87	-9	+1	+0	+7	+14	1.3
2031	27	MLB MLE	MIA	48%	629	568	128	28	2	17	52	172	4	13	3	225	295	371	666	146	290	27	8	297	87	-9	+1	+0	+7	+14	1.3
2032	28	MLB MLE	MIA	48%	626	565	127	28	1	17	52	172	4	12	3	225	295	368	663	143	289	27	8	297	87	-10	+1	-0	+7	+14	1.2
2033	29	MLB MLE	MIA	48%	617	556	124	28	1	16	52	171	4	12	3	223	294	363	657	140	289	28	8	295	86	-11	+1	-1	+7	+13	1.0
2034	30	MLB MLE	MIA	47%	607	547	122	27	1	16	51	169	4	12	3	223	294	364	658	141	288	28	8	292	84	-12	+1	-2	+7	+13	0.8
2035	31	MLB MLE	MIA	47%	594	536	117	26	1	15	50	168	3	11	2	218	289	354	643	136	286	28	8	288	81	-13	+1	-2	+6	+13	0.5
2036	32	MLB MLE	MIA	47%	576	520	111	24	1	14	48	165	3	11	2	213	284	344	628	131	282	29	8	283	78	-15	+1	-3	+6	+12	0.2
2037	33	MLB MLE	MIA	46%	546	492	103	22	1	12	46	159	3	10	2	209	281	331	612	122	278	29	8	276	73	-18	+1	-4	+6	+12	-0.3
2027	23	MLB CTX	MIA	26%	144	131	27	6	0	3	11	41	1	4	1	206	273	321	593	115	279	28	8	266	74	-4	+0	+0	+2	+3	0.1
2028	24	MLB CTX	MIA	37%	220	200	43	9	1	5	17	61	1	5	1	215	280	345	625	130	280	28	8	275	81	-5	+1	+0	+2	+5	0.3
2029	25	MLB CTX	MIA	43%	265	240	52	11	1	6	21	73	2	6	1	217	285	346	631	129	280	28	8	281	85	-5	+1	+0	+3	+6	0.5
2030	26	MLB CTX	MIA	47%	293	265	58	12	1	8	24	80	2	6	1	219	289	362	651	143	281	27	8	284	87	-4	+1	+0	+3	+6	0.6
2031	27	MLB CTX	MIA	48%	300	270	60	13	1	8	25	82	2	6	1	222	293	367	660	144	281	27	8	284	87	-4	+1	+0	+3	+6	0.6
2032	28	MLB CTX	MIA	48%	302	272	60	13	1	8	25	83	2	6	1	221	291	364	655	143	280	27	8	283	87	-5	+1	-0	+3	+7	0.6
2033	29	MLB CTX	MIA	48%	294	265	57	12	1	7	25	81	2	6	1	215	288	347	635	132	280	28	9	282	86	-5	+1	-0	+3	+6	0.5
2034	30	MLB CTX	MIA	47%	286	258	56	12	1	7	24	80	2	5	1	217	289	353	641	136	279	28	8	280	84	-5	+1	-1	+3	+6	0.4
2035	31	MLB CTX	MIA	47%	278	251	53	11	0	7	23	78	2	5	1	211	283	339	621	127	277	28	8	276	81	-6	+1	-1	+3	+6	0.2
2036	32	MLB CTX	MIA	47%	268	243	50	11	0	6	22	77	1	5	1	206	274	325	600	119	274	29	8	271	78	-7	+1	-1	+3	+6	0.1
2037	33	MLB CTX	MIA	46%	254	230	46	10	0	5	21	74	1	5	1	200	270	309	579	109	270	29	8	265	73	-8	+1	-2	+3	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2904	2625	562	120	7	70	238	810	18	59	11	214	284	345	629	131	280	28	8	278	75	-60	+7	-5	+31	+63	3.8
/ 162G	—	A+C		—	650	588	127	27	2	16	53	181	4	13	2	216	285	350	636	134	282	28	8	278	75	-13	+2	-1	+7	+14	0.8
Career	—	MLE		—	8414	7616	1642	348	24	182	677	2441	52	287	58	216	284	339	623	124	290	29	8	279	75	-139	+15	-10	+71	+143	8.2
/ 162G	—	MLE		—	650	588	127	27	2	14	52	189	4	22	4	216	284	340	624	124	290	29	8	279	75	-14	+2	-1	+7	+14	0.8

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
#2Jarrod Saltalamacchialast yr '16 career totals — 9 seasons, 3,127 PA	4.7	3,127	110	5	235	308	414	+56	-10	14.1	14.8
/162	664	23	1	+11.9	-2.1	3.0	pk7: 16
#3Khalil Greenelast yr '09 career totals — 7 seasons, 2,835 PA	4.3	2,835	90	25	245	302	422	+30	+14	13.0	13.0
/162	664	21	6	+7.1	+3.2	3.0	pk7: 13
#4Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#5Danny 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	4.4	2,910	73	59	222	288	360	+31	+0	5.6	5.2
/162	664	17	13	+7.1	+0.0	1.3	pk7: 5
#6J.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

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
Cristian Hernández (OGILVIE)	22	45	50	55	54	208/272/317	109	287	5	17	29%	8%	68	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ryan Vilade 2021 · A	22	47→51	41→55	51→50	46	226/283/325	100	287	8	13	24%	7%	72	-0.7	221/279/309	88	288	6	11	24%	7%	67	-1.1	225/289/385	159	278	18	15	25%	7%	87	+0.3
●Matt McLain 2022 · A	22	45→55	44→55	53→55	48	220/298/335	115	296	11	20	28%	9%	81	-0.1	235/317/411	176	321	19	22	30%	9%	106	+1.8	231/315/396	166	310	19	23	30%	9%	99	+1.1
✕Masyn Winn 2022 · A	20	42→52	39→50	57→55	42	201/259/292	90	285	6	22	30%	7%	56	-1.9	230/286/359	129	289	11	21	23%	7%	82	-0.0	252/312/373	121	300	11	11	19%	7%	93	+0.8
✕Blaze Alexander 2021 · A	22	45→48	42→45	51→50	42	215/281/322	107	301	9	11	30%	7%	72	-0.7	206/277/331	125	321	14	12	37%	7%	73	-0.6	239/319/362	123	339	12	15	30%	8%	93	+0.6
✕Mario Lisson 2006 · A	22	46→49	43→50	57→55	49	219/303/341	122	299	9	19	28%	10%	84	+0.2	220/282/334	114	289	10	21	26%	7%	75	-0.5	230/303/360	129	300	15	8	27%	8%	88	+0.3
✕Imbewer Alvarez 2008 · A	22	48	40	52→55	47	227/297/321	94	300	7	18	26%	8%	77	-0.3	200/258/275	75	312	5	11	35%	5%	52	-2.2	135/182/184	49	223	4	5	40%	2%	1	-1.0
✕Scott Kingery 2016 · A	22	45→51	39→55	54→55	42	218/266/305	87	269	7	12	22%	5%	61	-1.5	233/276/345	112	291	9	18	23%	5%	74	-0.5	237/285/394	157	299	16	18	26%	5%	87	+0.3
●Maikel Garcia 2022 · A	22	50→58	39→50	58→60	50	236/300/327	91	298	5	22	21%	8%	79	-0.2	247/302/345	98	313	7	27	22%	7%	84	+0.1	261/321/393	132	295	10	24	15%	8%	100	+1.2
✕Tyler Goeddel 2015 · A	22	45→51	41→45	56→55	41	216/273/323	107	303	7	18	30%	6%	68	-1.0	226/286/335	109	292	8	17	24%	7%	76	-0.4	225/288/328	103	283	8	18	22%	7%	72	-0.5
✕Samad Taylor 2019 · A	21	38→48	41→45	54→65	45	190/253/296	106	249	8	22	26%	7%	55	-1.9	192/267/308	116	292	10	25	35%	8%	63	-1.3	235/311/365	130	323	13	46	29%	9%	92	+0.4
✕Hoy Park 2018 · A	22	43→49	39→45	58→55	46	205/275/296	91	274	6	17	26%	8%	63	-1.3	223/300/306	83	296	5	16	24%	9%	75	-0.5	228/317/324	96	297	8	17	24%	11%	83	+0.0
✕Juan Mora 2022 · A	22	46	44→45	55	46	225/303/346	121	300	11	14	27%	8%	86	+0.3	225/283/333	108	304	9	9	28%	5%	75	-0.5	222/278/328	106	295	10	8	27%	5%	70	-0.4
✕Taylor Motter 2013 · A	23	45→50	40→55	51→55	52	218/294/314	96	275	7	20	23%	9%	75	-0.5	236/291/351	115	283	10	20	20%	7%	81	-0.1	208/287/374	165	259	20	5	27%	10%	85	+0.1
✕Jared Serna 2023 · A	21	41→48	43→45	54→50	49	203/292/313	110	263	10	21	26%	9%	75	-0.5	220/278/337	117	273	11	15	23%	6%	74	-0.6	216/272/322	106	264	10	16	22%	6%	65	-1.1
✕Cayden Wallace 2023 · A	21	46→48	42→50	56→50	42	223/275/338	115	301	9	15	28%	6%	72	-0.7	214/270/329	115	284	10	12	27%	6%	69	-0.9	226/275/366	139	277	16	14	24%	5%	77	-0.3
✕P.J. Higgins 2016 · A	23	44→54	42→45	54→40	42	215/263/322	108	284	8	8	27%	6%	64	-1.3	229/297/298	69	288	3	4	20%	8%	72	-0.7	241/305/360	118	308	12	3	24%	8%	88	+0.3
✕Wynton Bernard 2013 · A	22	43→53	39→45	52→60	42	206/267/294	87	298	6	10	31%	7%	59	-1.6	241/291/332	91	319	5	19	24%	6%	76	-0.4	250/298/375	125	305	12	37	21%	6%	86	+0.3
✕Franklin Rollin 2018 · A	22	46	40→45	54→55	40	224/262/318	94	276	6	18	21%	4%	62	-1.4	201/248/285	84	259	7	15	24%	5%	50	-2.3	185/237/257	72	234	6	17	23%	5%	37	-1.4
✕Cody Freeman 2022 · A	21	43→53	41→50	53→50	48	209/283/307	98	259	8	11	22%	8%	70	-0.9	206/261/321	115	251	13	9	23%	6%	63	-1.3	248/292/385	137	277	15	10	16%	5%	89	+0.4
✕Christian Villanueva 2013 · A	22	45→46	43→55	47→50	39	221/276/332	111	285	11	13	26%	5%	72	-0.7	211/258/344	133	266	14	6	26%	5%	68	-1.0	223/280/397	174	256	23	3	23%	6%	88	+0.3

Career Stats + Projections

Career Comps

Career Path Comps