Ronny Hernandez — OGILVIE

Ronny HernandezC Greenville Drive

Age 21 L/R 6'1" / 200 lbs A+ HR -5%K -4% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION275 act + 9 ros · stats below = ROS only

showingROS

wRC+†87

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

PA9

HR0

K%22

BB%11

BABIP279

ISO84

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$65M ctrl surplus

Tools · ContractCON 40 / POW 25

Toolsscout grade

CONTACT40

scouting grade only

POWER25

scouting grade only

EYE50

scouting grade only

SPEED40

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	+1.5	$9M	+$8M
2031	Pre-Arb	$0.9M	+1.5	$8M	+$8M
2032	Pre-Arb	$0.9M	+1.5	$8M	+$7M
2033	Arb-1	$5M	+1.4	$7M	+$4M
2034	Arb-2	$7M	+1.3	$6M	+$2M
2035	Arb-3	$10M	+1.1	$4M	+$0.6M
Totals		$25M		$41M	+$30M

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	17	ROK	DSL White Sox	—	120	97	26	7	0	6	18	21	2	0	0	268	393	526	919	258	274	18	15	394	153	+8	+0	—	—	+3	1.0
2023	18	ROK	ACL White Sox	—	172	148	50	12	1	3	22	35	2	1	0	338	430	493	923	155	427	20	13	412	165	+13	+0	—	—	+4	1.8
2024	19	A	Kannapolis Cannon Ballers	—	413	345	94	16	0	1	62	59	3	0	0	272	386	328	713	55	325	14	15	334	112	+6	+0	—	—	+9	1.5
2025	20	A	Kannapolis Cannon Ballers	—	355	307	77	12	1	4	45	75	0	4	0	251	347	336	682	85	316	21	13	313	98	-1	+1	—	—	+8	0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL White Sox	—	120	105	19	5	0	4	10	31	2	0	0	181	265	343	608	162	196	26	8	268	68	-5	+0	—	—	+3	-0.2
2023	18	ROK MLE	ACL White Sox	—	172	156	35	8	1	1	14	51	2	1	0	224	297	308	604	83	325	30	8	269	68	-7	+0	—	—	+4	-0.3
2024	19	A MLE	Kannapolis Cannon Ballers	—	413	368	88	13	0	1	41	85	3	0	0	239	320	283	603	43	303	21	10	274	72	-14	+0	—	—	+9	-0.5
2025	20	A MLE	Kannapolis Cannon Ballers	—	355	325	65	9	1	4	27	105	0	4	0	200	261	271	532	71	277	30	8	241	49	-21	+1	—	—	+8	-1.3
2022	17	ROK MLE	DSL White Sox	—	120	105	19	5	0	4	10	31	2	0	0	181	265	343	608	162	205	26	8	268	68	—	—	—	—	—	—
2022	17	ROK RAW	DSL White Sox	—	120	97	26	7	0	6	18	21	2	0	0	268	393	526	919	258	274	18	15	394	68	—	—	—	—	—	—
2023	18	ROK MLE	ACL White Sox	—	172	156	35	8	1	1	14	51	2	1	0	224	297	308	604	83	327	30	8	269	68	—	—	—	—	—	—
2023	18	ROK RAW	ACL White Sox	—	172	148	50	12	1	3	22	35	2	1	0	338	430	493	923	155	427	20	13	412	68	—	—	—	—	—	—
2024	19	A MLE	Kannapolis Cannon Ballers	—	413	368	88	13	0	1	41	85	3	0	0	239	320	283	603	43	307	21	10	274	72	—	—	—	—	—	—
2024	19	A RAW	Kannapolis Cannon Ballers	—	413	345	94	16	0	1	62	59	3	0	0	272	386	328	713	55	325	14	15	334	72	—	—	—	—	—	—
2025	20	A MLE	Kannapolis Cannon Ballers	—	355	325	65	9	1	4	27	105	0	4	0	200	261	271	532	71	279	30	8	241	49	—	—	—	—	—	—
2025	20	A RAW	Kannapolis Cannon Ballers	—	355	307	77	12	1	4	45	75	0	4	0	251	347	336	682	85	316	21	13	313	49	—	—	—	—	—	—
2022	17	ROK MLE	DSL White Sox	—	120	107	19	5	0	4	10	31	2	0	0	178	265	336	601	159	196	26	8	268	68	—	—	—	—	—	—
2023	18	ROK MLE	ACL White Sox	—	172	154	35	8	1	1	14	51	2	1	0	227	297	312	608	84	325	30	8	269	68	—	—	—	—	—	—
2024	19	A MLE	Kannapolis Cannon Ballers	—	413	366	88	13	0	1	41	85	3	0	0	240	320	284	605	44	303	21	10	274	72	—	—	—	—	—	—
2025	20	A MLE	Kannapolis Cannon Ballers	—	355	325	65	9	1	4	27	105	0	4	0	200	261	271	532	71	277	30	8	241	49	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	ACL White Sox	—	172	154	35	8	1	1	14	51	2	1	0	227	297	312	608	84	325	30	8	269	68	—	—	—	—	—	—
2024	19	A MLE	Kannapolis Cannon Ballers	—	413	366	88	13	0	1	41	85	3	0	0	240	320	284	605	44	303	21	10	274	72	—	—	—	—	—	—
2025	20	A MLE	Kannapolis Cannon Ballers	—	355	325	65	9	1	4	27	105	0	4	0	200	261	271	532	71	277	30	8	241	49	—	—	—	—	—	—
YTD	21	A+ MLE	BOS	—	275	244	62	9	0	13	26	54	2	0	0	254	331	451	782	197	272	20	9	336	114	+4	+0	+0	+5	+6	1.6
▸ 2026 season
YTD	21	A+ RAW	BOS	—	275	230	70	11	0	15	40	40	2	0	0	304	412	548	960	243	309	15	15	416	114	—	—	—	—	—	—
ROS	21	A+ MLE	BOS	0%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		273	22	11	297	87	-0	+0	+0	+0	+0	0.0
TOT	21	A+ MLE	BOS	—	284	252	63	9	0	13	27	56	2	0	0	250	327	440	768	190	269	20	10	335	113	+4	+0	+0	+5	+6	1.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	BOS	43%	404	362	85	13	1	11	37	85	2	2	0	235	309	367	677	133	275	21	9	302	91	-5	+0	+0	+7	+9	1.2
2028	23	MLB MLE	BOS	61%	469	420	100	16	1	13	43	97	3	3	0	238	313	374	687	136	277	21	9	309	95	-3	+1	+0	+8	+10	1.7
2029	24	MLB MLE	BOS	66%	512	456	110	18	1	15	48	105	3	4	1	241	318	384	701	143	279	21	9	314	99	-1	+0	+0	+9	+11	2.0
2030	25	MLB MLE	BOS	69%	520	463	113	18	1	16	49	106	3	5	1	244	320	391	711	147	279	20	9	317	100	+0	+1	+0	+9	+11	2.2
2031	26	MLB MLE	BOS	70%	520	463	112	18	1	16	49	105	3	5	1	242	318	389	707	147	279	20	9	318	101	+1	+1	+0	+9	+11	2.2
2032	27	MLB MLE	BOS	69%	520	462	112	18	1	16	50	106	3	5	1	242	320	390	710	147	279	20	10	318	101	+1	+1	+0	+9	+11	2.2
2033	28	MLB MLE	BOS	68%	520	462	112	18	1	16	50	107	3	5	1	242	320	390	710	147	278	21	10	317	100	+0	+1	-1	+9	+11	2.1
2034	29	MLB MLE	BOS	67%	520	461	112	18	1	16	51	108	3	5	1	243	322	390	713	148	277	21	10	315	99	-1	+1	-1	+9	+11	2.0
2035	30	MLB MLE	BOS	66%	520	461	109	17	1	15	51	109	3	5	1	236	317	375	692	139	276	21	10	312	97	-2	+1	-2	+9	+11	1.8
2036	31	MLB MLE	BOS	65%	501	444	104	16	1	14	49	106	3	5	1	234	315	369	684	135	274	21	10	308	94	-3	+1	-3	+9	+11	1.5
2037	32	MLB MLE	BOS	70%	468	417	96	15	0	13	45	101	3	4	1	230	310	360	669	129	271	22	10	302	91	-5	+0	-4	+8	+10	1.0
2038	33	MLB MLE	BOS	74%	427	381	85	13	0	11	41	95	2	3	1	223	302	344	646	121	267	22	10	295	86	-7	+0	-4	+8	+9	0.6
2039	34	MLB MLE	BOS	70%	371	330	71	10	0	9	36	85	2	3	0	215	296	327	623	112	261	23	10	287	80	-9	+1	-5	+7	+8	0.2
2027	22	MLB CTX	BOS	43%	175	156	36	6	0	4	16	37	1	1	0	231	306	346	653	115	281	21	9	301	91	-2	+0	+0	+3	+4	0.5
2028	23	MLB CTX	BOS	61%	286	256	61	10	0	8	26	59	2	2	0	238	313	371	684	133	283	21	9	307	95	-2	+0	+0	+5	+6	1.0
2029	24	MLB CTX	BOS	66%	339	302	74	12	1	10	32	69	2	3	0	245	321	391	712	146	284	20	9	312	99	-1	+1	+0	+6	+7	1.4
2030	25	MLB CTX	BOS	69%	357	318	79	13	1	11	34	72	2	3	0	248	325	399	724	151	285	20	10	314	100	+0	+1	+0	+6	+8	1.5
2031	26	MLB CTX	BOS	70%	363	324	80	13	1	11	34	74	2	3	1	247	322	395	717	148	285	20	9	315	101	+0	+0	+0	+6	+8	1.5
2032	27	MLB CTX	BOS	69%	359	320	79	13	1	11	34	73	2	4	1	247	323	397	720	150	285	20	9	315	101	+0	+0	+0	+6	+8	1.5
2033	28	MLB CTX	BOS	68%	356	317	78	13	1	11	34	73	2	4	1	246	323	397	720	151	284	21	10	314	100	+0	+0	-0	+6	+8	1.4
2034	29	MLB CTX	BOS	67%	347	308	74	12	0	10	34	72	2	4	1	240	320	377	696	136	283	21	10	313	99	-0	+0	-1	+6	+8	1.3
2035	30	MLB CTX	BOS	66%	342	304	73	12	0	10	33	72	2	3	1	240	319	378	697	138	282	21	10	310	97	-1	+0	-1	+6	+7	1.1
2036	31	MLB CTX	BOS	65%	326	289	68	11	0	9	32	69	2	3	0	235	316	367	683	131	280	21	10	306	94	-2	+1	-2	+6	+7	1.0
2037	32	MLB CTX	BOS	70%	330	293	68	11	0	9	32	71	2	3	0	232	312	362	674	130	276	22	10	300	91	-4	+1	-2	+6	+7	0.8
2038	33	MLB CTX	BOS	74%	316	281	64	10	0	8	30	70	2	2	0	228	307	349	655	121	272	22	9	294	86	-5	+0	-3	+6	+7	0.5
2039	34	MLB CTX	BOS	70%	258	230	51	8	0	6	25	59	1	2	0	222	301	335	636	113	267	23	10	285	80	-6	+0	-3	+5	+6	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4154	3698	885	144	5	118	396	870	24	37	5	239	317	377	694	137	281	21	10	308	91	-21	+5	-14	+74	+90	13.7
/ 162G	—	A+C		—	650	579	139	23	1	18	62	136	4	6	1	240	318	377	695	136	282	21	10	308	91	-3	+1	-2	+12	+14	2.1
Career	—	MLE		—	7341	6544	1529	243	12	191	692	1589	43	59	10	234	311	362	673	128	278	22	9	303	91	-33	+7	-20	+112	+136	20.7
/ 162G	—	MLE		—	650	579	136	22	1	17	61	141	4	5	1	235	312	364	677	130	280	22	9	303	91	-3	+1	-2	+12	+14	2.1

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
#4Zack Cozartlast yr '19 career totals — 8 seasons, 3,350 PA	5.0	3,350	85	21	246	300	398	+33	+38	14.2	14.8
/162	664	17	4	+6.6	+7.6	2.8	pk7: 15
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.3	4,156	121	37	238	312	377	+74	+36	17.1	14.4
/162	664	19	6	+11.9	+5.8	2.7	pk7: 12
#5Derek 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
#6Bobby 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

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
Ronny Hernandez (OGILVIE)	21	40	25	40	50	229/302/351	122	273	8	1	21%	9%	87	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Andy Paz 2014 · A	21	45	38→40	42→45	47	212/273/289	77	273	5	5	23%	7%	61	-1.5	202/261/272	70	282	5	5	28%	7%	52	-2.2	218/268/266	48	284	3	6	23%	6%	50	-0.7
✕Jhonny Pereda 2017 · A	21	44→47	37→40	39→40	47	207/267/283	75	250	5	3	19%	6%	57	-1.8	218/272/282	64	275	4	3	21%	7%	58	-1.7	272/342/370	98	361	7	0	25%	9%	101	+0.6
✕Nelson Quiroz 2022 · A	20	45	37→40	47→40	49	212/281/290	78	265	3	4	20%	8%	64	-1.3	230/289/333	103	271	9	4	18%	7%	77	-0.3	263/309/326	63	295	2	0	11%	6%	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
✕Randy Florentino 2021 · A	21	43	40→50	42→45	47	204/282/302	97	297	7	6	32%	10%	68	-1.0	180/243/263	83	270	8	5	34%	7%	44	-2.8	188/237/266	78	247	8	4	27%	6%	40	-0.9
✕Sergio Burruel 2012 · A	21	42	35→30	42→30	47	199/275/260	61	277	3	4	27%	8%	55	-1.9	215/268/277	62	300	3	6	27%	6%	55	-1.9	242/305/311	69	297	6	1	19%	7%	75	-0.2
✕Leopoldo Correa 2013 · A	21	45	39→45	42→30	46	216/274/302	86	272	6	3	22%	7%	64	-1.3	206/259/285	79	274	5	5	25%	6%	54	-2.0	178/223/244	66	223	3	0	21%	4%	27	-0.9
✕Greg Garcia 2011 · A	21	46→55	40	44→50	43	222/277/317	96	274	7	8	22%	5%	69	-0.9	239/314/332	93	303	5	9	21%	8%	86	+0.3	240/350/332	92	308	6	3	21%	13%	98	+0.6
✕Noah Mendlinger 2022 · A	21	49→59	39→40	44→45	52	230/311/322	91	292	5	6	22%	9%	82	+0.0	244/332/321	77	296	4	8	17%	9%	91	+0.6	271/353/338	68	317	2	8	14%	8%	100	+1.0
✕Jairo Marquez 2009 · A	21	48	40	43→45	50	229/288/318	89	249	8	5	12%	6%	73	-0.6	222/267/313	91	258	6	6	16%	5%	63	-1.3	217/251/299	82	252	4	8	15%	4%	49	-0.4
✕Greg Cullen 2019 · A	22	47→44	38→40	46→40	49	221/285/307	86	269	5	3	19%	8%	69	-0.9	219/305/319	100	284	8	3	24%	9%	80	-0.1	230/333/323	93	312	9	4	26%	12%	90	+0.2
✕Luis Alvarez 2012 · A	22	45	39→45	42→45	44	216/275/302	86	268	6	5	21%	6%	65	-1.2	221/273/346	125	283	13	5	26%	5%	74	-0.5	210/253/367	157	251	21	0	26%	3%	69	-0.2
✕David Martin 2023 · A	22	45	39→30	49→30	42	211/285/300	89	297	5	7	29%	6%	68	-1.0	221/302/288	67	277	4	4	20%	8%	72	-0.7	240/332/298	58	287	4	1	16%	10%	84	+0.1
✕Geraldi Diaz 2021 · A	21	45	38→40	45→40	49	211/297/295	84	269	5	6	22%	8%	72	-0.7	197/279/288	91	285	6	6	31%	8%	64	-1.3	169/259/261	91	255	7	4	33%	8%	49	-0.8
✕Joel Naughton 2008 · A	21	46	39→40	43→30	44	222/269/306	84	277	6	6	22%	6%	62	-1.4	229/272/318	89	285	7	3	21%	6%	66	-1.1	233/274/319	86	287	8	1	21%	5%	66	-0.5
✕Anthony Dimino 2016 · A	22	48	35→40	47→50	48	223/281/286	63	285	2	6	22%	7%	62	-1.4	245/309/310	65	313	3	12	21%	8%	78	-0.3	256/318/318	62	321	3	16	20%	8%	80	-0.0
✕Luis Sierra 2007 · A	20	45	36→40	39→45	50	207/292/280	72	272	3	5	23%	9%	67	-1.1	222/283/317	95	264	8	8	18%	6%	72	-0.7	224/278/323	99	258	10	8	17%	5%	69	-0.4
✕Richi Sanchez 2015 · A	21	49	38→45	49→50	53	229/311/311	82	291	5	8	22%	10%	80	-0.1	212/272/290	78	279	3	7	23%	7%	60	-1.6	202/252/280	79	255	0	6	20%	6%	47	-0.6
✕Noe Becerra 2008 · AAA	21	48	40→30	46→40	50	228/295/325	96	276	7	8	19%	8%	77	-0.3	210/273/290	80	268	7	8	23%	8%	61	-1.5	227/282/264	38	279	1	1	18%	7%	56	-0.5
✕Rossmel Perez 2011 · A	21	50→56	36→30	38→45	48	237/286/300	63	271	4	3	14%	6%	68	-1.0	245/302/301	56	273	4	6	11%	7%	74	-0.6	266/319/323	57	287	3	5	8%	6%	83	+0.0

Career Stats + Projections

Career Comps

Career Path Comps