Sammy Hernandez — OGILVIE

Sammy HernandezC Peoria Chiefs

Age 22 R/R 5'9" / 185 lbs A+ HR -14%BB -5% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION253 act + 9 ros · stats below = ROS only

showingROS

wRC+†76

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

PA9

HR0

K%22

BB%11

BABIP239

ISO85

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$30M ctrl surplus

Tools · ContractCON 40 / POW 20

Toolsscout grade

CONTACT40

scouting grade only

POWER20

scouting grade only

EYE50

scouting grade only

SPEED50

scouting grade only

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	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2031	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2032	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2033	Arb-1	$3M	+0.7	$2M	+$0.2M
2034	Arb-2	$4M	+0.6	$1M	+$0.0M (cut)
2035	Arb-3	$4M	+0.4	$0.8M	+$0.0M (cut)
Totals		$6M		$10M	+$5M

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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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)
2022	18	ROK	FCL Blue Jays	—	16	15	1	0	0	0	1	2	0	0	0	67	125	67	192		77	12	6	100	-46	-3	+0	—	—	+0	-0.2
2023	19	A	Palm Beach Cardinals	—	152	137	27	3	2	3	12	35	2	0	0	197	272	314	585	117	240	23	8	266	66	-6	+0	—	—	+3	-0.3
2023	19	ROK	FCL Cardinals	—	76	62	16	5	2	3	8	16	6	1	0	258	395	548	943	290	302	21	11	412	165	+6	+0	—	—	+2	0.8
2023	19	INTL	Leones de Ponce	—	103	83	21	4	1	1	12	20	6	4	0	253	386	361	748	108	317	19	12	342	117	+2	+1	—	—	+2	0.5
2024	20	A+	Peoria Chiefs	—	33	23	3	0	0	2	6	8	3	0	0	130	375	391	766	261	77	24	18	347	121	+1	+0	—	—	+1	0.2
2024	20	A	Palm Beach Cardinals	—	350	295	78	19	2	2	38	60	14	3	2	264	375	363	737	98	323	17	11	338	115	+6	-0	—	—	+8	1.4
2024	20	INTL	Leones de Ponce	—	107	94	18	2	0	1	6	21	4	3	0	191	269	245	514	53	233	20	6	237	46	-7	+1	—	—	+2	-0.4
2025	21	A+	Peoria Chiefs	—	23	20	2	0	0	1	3	3	0	0	2	100	217	250	467	150	62	13	13	221	36	-2	-1	—	—	+0	-0.2
2025	21	A	Palm Beach Cardinals	—	360	293	69	11	0	2	46	67	14	12	1	235	364	294	658	58	295	19	13	309	95	-2	+2	—	—	+8	0.8
2025	21	INTL	Leones de Ponce	—	76	65	17	5	0	0	6	10	1	1	1	262	333	338	672	77	298	13	8	292	84	-1	-0	—	—	+2	-0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	18	ROK MLE	FCL Blue Jays	—	16	15	1	0	0	0	1	3	0	0	0	67	125	67	192		64	19	6	72	-65	-3	+0	—	—	+0	-0.3
2023	19	A MLE	Palm Beach Cardinals	—	152	140	19	2	1	2	9	52	2	0	0	136	199	207	406	71	207	34	6	198	20	-14	+0	—	—	+3	-1.1
2023	19	ROK MLE	FCL Cardinals	—	76	65	11	3	1	2	5	23	6	1	0	169	289	338	628	169	223	30	7	280	76	-2	+0	—	—	+2	-0.0
2024	20	A+ MLE	Peoria Chiefs	—	33	24	3	0	0	2	5	11	3	0	0	125	344	375	719	250	69	33	15	277	74	-1	+0	—	—	+1	-0.0
2024	20	A MLE	Palm Beach Cardinals	—	350	305	63	14	2	2	28	88	14	3	2	207	303	285	588	79	274	25	8	264	65	-15	-0	—	—	+8	-0.7
2025	21	A+ MLE	Peoria Chiefs	—	23	21	2	0	0	1	2	4	0	0	2	95	174	238	412	143	56	17	9	179	7	-3	-1	—	—	+0	-0.3
2025	21	A MLE	Palm Beach Cardinals	—	360	305	61	11	0	2	35	95	14	12	1	200	311	256	566	56	269	26	10	259	61	-17	+2	—	—	+8	-0.7
2022	18	ROK MLE	FCL Blue Jays	—	16	15	1	0	0	0	1	3	0	0	0	67	125	67	192		83	19	6	72	-65	—	—	—	—	—	—
2022	18	ROK RAW	FCL Blue Jays	—	16	15	1	0	0	0	1	2	0	0	0	67	125	67	192		77	12	6	100	-65	—	—	—	—	—	—
2023	19	A MLE	3 teams	—	331	294	47	8	4	7	20	109	14	5	0	160	247	286	533	126	222	33	6	225	39	—	—	—	—	—	—
2023	19	A RAW	3 teams	—	331	282	64	12	5	7	32	71	14	5	0	227	335	379	715	152	277	21	10	323	39	—	—	—	—	—	—
2024	20	A MLE	3 teams	—	490	420	83	19	2	4	42	126	21	6	2	198	302	281	583	83	270	26	9	265	66	—	—	—	—	—	—
2024	20	A RAW	3 teams	—	490	412	99	21	2	5	50	89	21	6	2	240	352	337	689	97	293	18	10	317	66	—	—	—	—	—	—
2025	21	A MLE	3 teams	—	459	390	74	13	0	3	44	119	15	13	4	190	296	246	542	56	260	26	10	254	58	—	—	—	—	—	—
2025	21	A RAW	3 teams	—	459	378	88	16	0	3	55	80	15	13	4	233	352	299	651	66	283	17	12	302	58	—	—	—	—	—	—
2022	18	ROK MLE	FCL Blue Jays	—	16	15	1	0	0	0	1	3	0	0	0	67	125	67	192		64	19	6	72	-65	—	—	—	—	—	—
2023	19	A MLE	3 teams	—	331	294	47	8	4	7	20	109	14	5	0	160	247	286	533	126	212	33	6	225	39	—	—	—	—	—	—
2024	20	A MLE	3 teams	—	490	424	83	19	2	4	42	126	21	6	2	196	302	278	581	83	256	26	9	265	66	—	—	—	—	—	—
2025	21	A MLE	3 teams	—	459	397	74	13	0	3	44	119	15	13	4	186	296	242	538	55	256	26	10	254	58	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	A MLE	3 teams	—	331	294	47	8	4	7	20	109	14	5	0	160	247	286	533	126	212	33	6	225	39	—	—	—	—	—	—
2024	20	A MLE	3 teams	—	490	424	83	19	2	4	42	126	21	6	2	196	302	278	581	83	256	26	9	265	66	—	—	—	—	—	—
2025	21	A MLE	3 teams	—	459	397	74	13	0	3	44	119	15	13	4	186	296	242	538	55	256	26	10	254	58	—	—	—	—	—	—
YTD	22	A+ MLE	STL	—	253	216	47	14	0	9	31	64	4	21	5	218	327	407	734	190	262	25	12	323	105	+1	+2	+0	+5	+5	1.4
▸ 2026 season
YTD	22	A+ RAW	STL	—	253	204	57	18	0	11	43	47	4	21	5	279	414	529	944	250	311	19	17	412	105	—	—	—	—	—	—
ROS	22	A+ MLE	STL	0%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		240	22	11	281	76	-0	+0	+0	+0	+0	0.0
TOT	22	A+ MLE	STL	—	262	224	48	14	0	9	32	66	4	21	5	214	323	397	720	183	258	25	12	322	104	+1	+2	+0	+5	+6	1.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	STL	35%	424	367	73	17	1	9	44	103	10	13	3	199	302	324	626	125	246	24	10	286	80	-10	+1	+0	+8	+9	0.8
2028	24	MLB MLE	STL	46%	476	414	84	19	1	11	49	113	10	15	4	203	302	333	636	130	250	24	10	293	85	-9	+1	+0	+8	+10	1.2
2029	25	MLB MLE	STL	52%	505	437	91	21	1	12	52	119	11	16	4	208	308	343	651	135	253	24	10	297	87	-8	+2	+0	+9	+11	1.4
2030	26	MLB MLE	STL	54%	520	450	94	21	1	13	54	122	11	16	4	209	309	347	655	138	254	23	10	299	88	-7	+2	+0	+9	+11	1.5
2031	27	MLB MLE	STL	54%	520	449	93	21	1	13	55	122	11	16	4	207	309	345	654	138	253	23	11	299	89	-7	+2	+0	+9	+11	1.5
2032	28	MLB MLE	STL	54%	520	449	93	21	1	13	55	123	11	15	4	207	309	345	654	138	253	24	11	298	88	-7	+1	-1	+9	+11	1.4
2033	29	MLB MLE	STL	58%	517	446	92	21	1	13	55	124	11	14	4	206	309	345	654	139	252	24	11	296	87	-8	+1	-1	+9	+11	1.2
2034	30	MLB MLE	STL	60%	508	438	89	20	1	12	54	123	11	13	3	203	306	336	642	132	250	24	11	293	85	-9	+1	-2	+9	+11	1.0
2035	31	MLB MLE	STL	62%	480	416	83	19	1	11	51	117	10	10	3	200	302	329	631	130	248	24	11	289	82	-10	+1	-3	+9	+10	0.7
2036	32	MLB MLE	STL	63%	448	388	76	17	1	10	48	111	9	8	2	196	299	322	621	126	244	25	11	284	78	-12	+1	-4	+8	+10	0.3
2037	33	MLB MLE	STL	63%	408	354	68	15	1	9	43	103	8	6	1	192	294	316	610	124	240	25	11	277	74	-13	+1	-4	+7	+9	-0.0
2027	23	MLB CTX	STL	35%	147	128	25	6	0	3	15	36	3	5	1	195	295	312	607	117	245	24	10	266	80	-4	+1	+0	+3	+3	0.3
2028	24	MLB CTX	STL	46%	220	190	39	9	1	5	23	52	5	7	2	205	307	342	649	137	250	24	10	274	85	-4	+1	+0	+4	+5	0.5
2029	25	MLB CTX	STL	52%	261	226	47	11	1	6	27	61	6	8	2	208	309	345	654	137	252	23	10	278	87	-4	+1	+0	+5	+6	0.7
2030	26	MLB CTX	STL	54%	282	245	52	12	1	7	29	66	6	9	2	212	311	355	666	143	253	23	10	280	88	-4	+1	+0	+5	+6	0.8
2031	27	MLB CTX	STL	54%	282	244	51	11	1	7	30	66	6	9	2	209	311	348	659	139	252	23	11	280	89	-4	+1	+0	+5	+6	0.8
2032	28	MLB CTX	STL	54%	282	244	50	11	1	7	30	67	6	8	2	205	307	344	651	139	252	24	11	279	88	-4	+1	-0	+5	+6	0.8
2033	29	MLB CTX	STL	58%	298	258	53	12	1	7	32	71	6	8	2	205	307	341	649	136	251	24	11	277	87	-5	+1	-1	+5	+6	0.7
2034	30	MLB CTX	STL	60%	305	264	54	12	1	7	32	74	6	8	2	205	305	337	642	133	250	24	10	274	85	-6	+1	-1	+5	+7	0.6
2035	31	MLB CTX	STL	62%	295	256	50	12	0	6	31	72	6	6	2	195	297	312	609	117	247	24	11	271	82	-6	+0	-2	+5	+6	0.4
2036	32	MLB CTX	STL	63%	281	243	47	11	0	6	30	70	6	5	1	193	297	313	610	119	244	25	11	265	78	-7	+1	-2	+5	+6	0.2
2037	33	MLB CTX	STL	63%	259	225	42	9	0	5	27	66	5	4	1	187	288	293	581	107	239	25	10	259	74	-8	+0	-3	+5	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2912	2523	510	116	7	66	306	701	61	77	19	202	303	332	636	130	251	24	11	273	78	-55	+8	-9	+52	+63	6.0
/ 162G	—	A+C		—	650	563	115	26	2	15	68	156	14	17	4	204	305	337	643	133	253	24	10	273	78	-12	+2	-2	+12	+14	1.3
Career	—	MLE		—	6631	5735	1142	252	17	140	668	1639	163	166	42	199	300	322	623	123	251	25	10	284	78	-101	+14	-15	+95	+116	11.2
/ 162G	—	MLE		—	650	562	113	25	2	14	65	161	16	16	4	201	302	327	629	126	253	25	10	284	78	-12	+2	-2	+12	+14	1.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Freddy Galvislast yr '21 career totals — 10 seasons, 4,238 PA	6.4	4,238	109	57	246	292	387	+42	+68	18.0	17.6
/162	664	17	9	+6.6	+10.6	2.8	pk7: 17
#2John 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
#3Jarrod 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
#4Derek Norrislast yr '17 career totals — 6 seasons, 2,195 PA	3.3	2,195	63	26	230	304	380	+39	+50	13.7	13.7
/162	664	19	8	+11.9	+15.1	4.1	pk7: 14
#5Bobby 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
#6Danny 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 6 projected seasons	4.4	2,913	69	77	204	302	337	+52	+24	8.2	7.3
/162	664	16	17	+11.9	+5.5	1.9	pk7: 6

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
Sammy Hernandez (OGILVIE)	22	40	20	50	50	190/294/309	120	240	6	14	25%	10%	76	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Adrian Abreu 2012 · A	21	39	38→40	47→55	47	190/263/273	82	247	5	9	24%	8%	53	-2.1	212/292/300	88	256	8	17	19%	9%	71	-0.8	209/299/290	80	241	9	25	16%	10%	70	-0.3
✕Taylor Krick 2011 · A	23	43	39→30	48→40	50	207/292/288	80	272	6	7	25%	9%	68	-1.0	227/312/290	63	312	3	5	26%	8%	76	-0.4	234/324/284	50	326	2	2	25%	8%	77	-0.1
✕Andy Paz 2015 · A	22	38	38→40	45	44	186/245/261	75	253	6	5	28%	7%	44	-2.8	217/271/283	66	297	4	6	26%	7%	58	-1.7	246/291/294	49	312	2	7	21%	6%	64	-0.4
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/298/304	85	284	8	4	24%	7%	74	-0.5	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕Franklin Tineo 2017 · A	22	36	38→45	46→50	45	179/245/253	75	239	5	10	26%	7%	42	-2.9	198/277/298	100	282	8	10	30%	8%	65	-1.2	201/298/325	124	262	10	12	25%	10%	77	-0.1
✕Sherman Lacrus 2016 · A	22	46	40→30	45→50	49	222/293/313	91	261	7	7	18%	7%	74	-0.5	208/263/291	83	278	5	8	26%	6%	57	-1.8	191/242/262	71	249	5	9	24%	5%	40	-0.9
✕Ramón Rodríguez 2021 · A	22	44	38→40	47→45	46	212/264/289	77	261	5	6	21%	6%	57	-1.8	222/269/310	88	273	9	6	21%	6%	63	-1.3	220/282/315	95	243	11	8	14%	7%	69	-0.4
✕Dixon Mavares 2008 · A	22	46	35→30	47→50	50	212/288/274	62	252	2	11	16%	7%	63	-1.3	224/295/299	75	271	4	9	17%	8%	72	-0.7	241/316/306	65	285	2	11	15%	8%	78	-0.1
✕Alexander Campos 2022 · A	22	42	42→40	46→45	48	206/291/311	105	278	9	6	28%	9%	73	-0.6	220/302/308	88	316	7	6	30%	9%	76	-0.4	234/327/306	73	330	7	6	28%	11%	84	+0.1
✕Alfredo González 2015 · A	23	42	38→30	52→45	43	203/264/285	81	271	6	9	26%	6%	56	-1.9	233/294/295	62	311	4	6	24%	7%	70	-0.9	228/291/282	54	298	4	5	23%	7%	63	-0.7
✕Nick Fortes 2019 · A	22	43→44	37→45	49→45	50	201/269/275	74	241	4	6	18%	8%	56	-1.9	200/264/295	95	248	8	5	22%	6%	59	-1.6	219/286/341	122	248	15	8	18%	6%	76	-0.2
✕Glenn Santiago 2022 · A	21	43	40	51→45	49	207/278/298	91	250	7	11	20%	7%	65	-1.2	199/261/287	88	292	7	8	32%	7%	56	-1.9	182/247/261	79	270	7	8	33%	7%	43	-1.1
✕Melvin Santana 2014 · A	22	42	37→45	51→50	45	200/253/283	83	254	3	11	22%	6%	51	-2.2	203/251/281	78	279	3	11	27%	6%	50	-2.3	195/231/264	69	262	0	19	24%	4%	37	-0.6
✕Richard Rodriguez 2014 · A	21	42	33→30	48→50	48	196/255/237	41	245	1	14	20%	7%	42	-2.9	237/286/279	42	293	1	10	18%	6%	61	-1.5	240/292/258	18	289	0	11	16%	7%	58	-0.6
✕Luis De La Cruz 2011 · A	22	39	40→30	47→30	38	193/228/291	98	250	6	6	26%	4%	44	-2.8	234/265/314	80	285	4	6	19%	4%	62	-1.4	265/287/332	67	311	3	4	16%	3%	71	-0.3
✕Roger Tomas 2008 · A	22	42	40→30	50→45	43	206/254/297	91	260	7	5	24%	6%	55	-2.0	221/264/281	60	281	3	6	21%	5%	54	-2.0	231/268/265	34	289	1	6	20%	4%	51	-0.6
✕Jairo Encarnacion 2007 · A	21	44	41→40	52→45	46	212/274/306	95	244	9	8	18%	6%	65	-1.2	229/298/318	89	272	8	7	18%	7%	77	-0.3	246/322/325	79	284	8	4	15%	7%	86	+0.1
✕Erlin Cerda 2016 · A	22	45	35→40	53→55	47	208/277/280	72	264	1	14	20%	7%	60	-1.6	198/248/268	70	295	2	9	32%	5%	46	-2.6	164/198/208	44	258	0	8	35%	4%	9	-1.2
✕Noe Becerra 2009 · AAA	22	42	37→30	44→40	47	201/265/269	68	260	5	7	24%	8%	53	-2.1	228/286/313	85	278	7	7	19%	7%	71	-0.8	282/332/341	59	319	2	0	12%	6%	93	+0.3
✕Gilberto Vizcarra 2021 · A	22	43	36→45	50→40	46	203/265/271	69	261	4	5	23%	7%	54	-2.0	218/265/313	95	269	7	4	21%	5%	63	-1.4	233/269/347	114	277	11	0	20%	4%	71	-0.4

Career Stats + Projections

Career Comps

Career Path Comps