Heriberto Caraballo

Heriberto CaraballoC Palm Beach Cardinals

Age 21 R/R 5'10" / 191 lbs A HR -14%BB -5% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION179 act + 16 ros · stats below = ROS only

showingROS

wRC+†63

AVG/OBP/SLG.133 / .188 / .133

PA16

HR0

K%31

BB%6

BABIP266

ISO99

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$13M ctrl surplus

Tools · ContractCON 34 / POW 43

Toolsscout grade

CONTACT34

scouting grade only

POWER43

scouting grade only

EYE54

scouting grade only

SPEED50

scouting grade only

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	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2032	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2034	Arb-1	$1M	+0.3	$0.7M	+$0.1M
2035	Arb-2	$2M	+0.2	$0.4M	+$0.0M (cut)
2036	Arb-3	$1M	—	—	—
Totals		$4M		$4M	+$2M

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)
2023	18	ROK	DSL Cardinals	—	129	116	28	6	1	0	9	19	4	0	0	241	318	310	628	69	289	15	7	291	83	-3	+0	—	—	+3	0.0
2024	19	A	Palm Beach Cardinals	—	24	22	1	1	0	0	2	9	0	0	0	45	125	91	216	45	77	38	8	112	-38	-4	+0	—	—	+1	-0.3
2024	19	ROK	FCL Cardinals	—	134	114	17	2	0	2	13	27	6	0	0	149	271	219	490	70	174	20	10	239	48	-8	+0	—	—	+3	-0.6
2025	20	A	Palm Beach Cardinals	—	71	61	9	0	0	1	8	19	1	1	0	148	257	197	454	49	190	27	11	220	35	-5	+0	—	—	+2	-0.4
2025	20	ROK	FCL Cardinals	—	50	39	10	3	0	0	8	9	3	3	1	256	420	333	753	77	333	18	16	359	129	+2	+0	—	—	+1	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	18	ROK MLE	DSL Cardinals	—	129	119	21	4	1	0	6	28	4	0	0	176	240	227	467	50	218	22	5	197	19	-12	+0	—	—	+3	-1.0
2024	19	A MLE	Palm Beach Cardinals	—	24	22	1	1	0	0	2	13	0	0	0	45	125	91	216	45	64	54	8	74	-64	-5	+0	—	—	+1	-0.4
2024	19	ROK MLE	FCL Cardinals	—	134	119	14	1	0	2	8	38	6	0	0	118	211	176	387	59	144	28	6	170	1	-16	+0	—	—	+3	-1.3
2025	20	A MLE	Palm Beach Cardinals	—	71	63	7	0	0	1	6	27	1	1	0	111	200	159	359	48	169	38	8	171	2	-8	+0	—	—	+2	-0.7
2025	20	ROK MLE	FCL Cardinals	—	50	42	8	2	0	0	5	13	3	3	1	190	320	238	558	48	255	26	10	249	55	-3	+0	—	—	+1	-0.1
2023	18	ROK MLE	DSL Cardinals	—	129	119	21	4	1	0	6	28	4	0	0	176	240	227	467	50	231	22	5	197	19	—	—	—	—	—	—
2023	18	ROK RAW	DSL Cardinals	—	129	116	28	6	1	0	9	19	4	0	0	241	318	310	628	69	289	15	7	291	19	—	—	—	—	—	—
2024	19	ROK MLE	2 teams	—	158	142	15	2	0	2	9	51	6	0	0	106	191	162	353	56	144	32	6	155	-9	—	—	—	—	—	—
2024	19	ROK RAW	2 teams	—	158	136	18	3	0	2	15	36	6	0	0	132	248	199	447	66	162	23	9	219	-9	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	121	105	15	2	0	1	11	40	4	4	1	143	250	190	440	48	215	33	9	203	24	—	—	—	—	—	—
2025	20	A RAW	2 teams	—	121	100	19	3	0	1	16	28	4	4	1	190	325	250	575	60	250	23	13	278	24	—	—	—	—	—	—
2023	18	ROK MLE	DSL Cardinals	—	129	118	21	4	1	0	6	28	4	0	0	178	240	229	469	51	218	22	5	197	19	—	—	—	—	—	—
2024	19	ROK MLE	2 teams	—	158	142	15	2	0	2	9	51	6	0	0	106	191	162	353	56	132	32	6	155	-9	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	121	105	15	2	0	1	11	40	4	4	1	143	250	190	440	48	205	33	9	203	24	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	DSL Cardinals	—	129	118	21	4	1	0	6	28	4	0	0	178	240	229	469	51	218	22	5	197	19	—	—	—	—	—	—
2024	19	ROK MLE	2 teams	—	158	142	15	2	0	2	9	51	6	0	0	106	191	162	353	56	132	32	6	155	-9	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	121	105	15	2	0	1	11	40	4	4	1	143	250	190	440	48	205	33	9	203	24	—	—	—	—	—	—
YTD	21	A MLE	STL	—	179	156	27	2	1	4	15	64	6	1	3	173	271	276	547	103	256	36	8	244	51	-10	-1	+0	+3	+4	-0.4
▸ 2026 season
YTD	21	A RAW	STL	—	179	151	32	2	1	5	20	45	6	1	3	212	328	338	665	126	262	25	11	305	51	—	—	—	—	—	—
ROS	21	A MLE	STL	0%	16	15	2	0	0	0	1	5	0	0	0	133	188	133	321		266	31	6	262	63	-1	+0	+0	+0	+0	-0.0
TOT	21	A MLE	STL	—	195	171	29	2	1	4	16	69	6	1	3	170	264	263	527	94	250	35	8	245	52	-11	-1	+0	+3	+4	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	STL	34%	248	221	45	8	1	5	20	70	5	3	1	204	285	317	601	113	270	28	8	272	70	-9	+0	+0	+4	+5	0.1
2028	23	MLB MLE	STL	48%	349	311	65	11	2	7	28	96	7	4	2	209	289	325	614	116	273	28	8	279	75	-10	+0	+0	+6	+8	0.3
2029	24	MLB MLE	STL	53%	417	372	78	13	2	9	34	113	8	5	2	210	290	328	618	118	274	27	8	283	78	-11	+0	+0	+7	+9	0.6
2030	25	MLB MLE	STL	55%	454	406	86	15	2	10	37	122	8	5	3	212	290	333	623	121	275	27	8	285	79	-11	-0	+0	+8	+10	0.7
2031	26	MLB MLE	STL	56%	477	425	90	15	2	11	40	129	9	6	3	212	293	334	627	122	275	27	8	286	80	-12	+0	+0	+9	+10	0.7
2032	27	MLB MLE	STL	55%	485	432	92	16	2	11	41	131	9	6	3	213	295	336	630	123	275	27	8	286	80	-12	+0	+0	+9	+11	0.8
2033	28	MLB MLE	STL	55%	486	433	91	16	2	11	41	132	9	5	3	210	292	333	624	122	274	27	8	285	79	-12	-0	-1	+9	+11	0.6
2034	29	MLB MLE	STL	53%	479	426	89	15	2	11	41	131	9	5	3	209	292	331	623	122	273	27	9	283	78	-13	-0	-1	+9	+10	0.5
2035	30	MLB MLE	STL	53%	471	419	87	15	2	10	40	130	9	4	2	208	291	325	615	117	272	28	8	280	76	-14	+0	-2	+8	+10	0.3
2036	31	MLB MLE	STL	52%	444	395	80	13	2	9	38	124	8	4	2	203	286	314	600	111	269	28	9	276	73	-14	+0	-3	+8	+10	0.1
2037	32	MLB MLE	STL	52%	415	370	74	12	2	8	35	118	7	3	1	200	282	308	590	108	266	28	8	271	69	-15	+0	-4	+7	+9	-0.2
2027	22	MLB CTX	STL	34%	85	76	16	3	0	2	7	24	2	1	1	211	294	329	623	118	269	28	8	255	70	-3	-0	+0	+2	+2	0.0
2028	23	MLB CTX	STL	48%	169	150	31	5	1	3	14	47	3	2	1	207	287	313	601	107	272	28	8	262	75	-5	+0	+0	+3	+4	0.2
2029	24	MLB CTX	STL	53%	220	196	41	7	1	5	18	60	4	3	1	209	289	332	621	122	274	27	8	266	78	-6	+0	+0	+4	+5	0.3
2030	25	MLB CTX	STL	55%	248	221	46	8	1	5	20	67	5	3	1	208	289	321	610	113	274	27	8	268	79	-6	+0	+0	+4	+5	0.4
2031	26	MLB CTX	STL	56%	265	236	50	9	1	6	22	71	5	3	2	212	293	335	628	123	274	27	8	269	80	-6	-0	+0	+5	+6	0.4
2032	27	MLB CTX	STL	55%	267	238	50	9	1	6	22	72	5	3	2	210	291	332	622	122	274	27	8	269	80	-6	-0	+0	+5	+6	0.4
2033	28	MLB CTX	STL	55%	266	236	49	8	1	6	23	72	5	3	1	208	292	326	618	119	273	27	9	268	79	-7	+0	-0	+5	+6	0.4
2034	29	MLB CTX	STL	53%	255	226	47	8	1	5	22	70	5	3	1	208	292	319	611	111	272	27	9	266	78	-7	+0	-1	+5	+6	0.3
2035	30	MLB CTX	STL	53%	248	220	46	8	1	5	21	68	5	2	1	209	293	323	615	114	271	27	8	263	76	-7	+0	-1	+4	+5	0.2
2036	31	MLB CTX	STL	52%	231	205	42	7	1	5	20	65	4	2	1	205	288	322	610	117	268	28	9	260	73	-7	+0	-1	+4	+5	0.0
2037	32	MLB CTX	STL	52%	215	191	38	6	1	4	18	61	4	1	1	199	282	304	585	105	265	28	8	255	69	-8	-0	-2	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2469	2195	456	78	10	52	207	677	47	26	13	208	290	323	613	116	274	27	8	265	71	-69	+0	-6	+44	+53	2.4
/ 162G	—	A+C		—	650	578	121	21	3	14	54	178	12	7	3	209	290	329	619	119	275	27	8	265	71	-18	+0	-1	+12	+14	0.6
Career	—	MLE		—	5149	4591	930	157	22	105	422	1420	102	54	26	203	284	315	599	112	267	28	8	273	71	-133	+0	-10	+85	+103	4.5
/ 162G	—	MLE		—	650	580	118	20	3	13	53	179	13	7	3	203	285	316	600	112	269	28	8	273	71	-18	+0	-1	+12	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny 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
#2Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#3Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#4Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#5Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	3.9	2,608	57	29	210	288	329	+47	+28	4.4	4.0
/162	664	14	7	+11.9	+7.1	1.1	pk7: 4
#6Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2

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
Heriberto Caraballo (OGILVIE)	21	29→34	38→43	45→50	54	193/274/292	98	266	2	2	29%	8%	63	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Juan Mora 2021 · A	21	43	42→45	53→55	49	209/289/317	108	255	9	14	21%	8%	74	-0.5	227/292/341	114	308	10	10	28%	6%	80	-0.1	222/278/328	106	295	10	8	27%	5%	70	-0.4
✕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
✕Christian Cerda 2023 · A	20	41→37	39→45	50→40	51	195/281/288	93	256	6	9	25%	10%	65	-1.2	193/287/297	104	256	11	4	27%	11%	69	-0.9	180/276/283	102	231	12	2	26%	11%	61	-1.1
✕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
✕Jakson Reetz 2017 · A	21	44→33	39→55	47→45	44	205/289/298	94	298	5	6	31%	8%	70	-0.8	198/275/298	100	292	9	5	33%	7%	65	-1.2	193/274/380	187	243	23	4	31%	7%	81	-0.0
✕Geoandry Montilla 2017 · A	21	44	41→45	45→50	46	214/281/315	101	286	8	9	27%	8%	70	-0.8	197/264/296	99	314	8	8	37%	7%	59	-1.6	131/203/233	101	238	8	7	45%	7%	21	-1.2
✕Jeter Downs 2018 · A	20	42→40	43→50	47→55	47	208/276/316	107	257	11	9	23%	7%	68	-1.0	211/277/351	140	270	15	17	27%	7%	78	-0.3	171/263/306	134	238	15	26	33%	8%	61	-0.7
✕Oswaldo Linares 2023 · A	20	42	41→40	48→40	52	203/299/295	93	261	9	6	24%	10%	74	-0.6	189/286/270	81	279	7	4	31%	11%	63	-1.4	163/267/230	67	248	6	2	33%	11%	45	-1.0
✕Tomás Nido 2015 · A	21	44→43	39→45	49→30	43	212/267/299	87	285	6	7	27%	6%	61	-1.5	230/261/332	102	302	9	2	26%	4%	65	-1.2	238/272/346	108	283	9	0	19%	4%	71	-0.5
✕Abrahan Gutierrez 2021 · A	21	44→43	39→45	46→40	43	214/262/293	80	273	7	6	24%	6%	57	-1.8	225/298/328	103	300	8	4	26%	8%	80	-0.2	218/296/319	101	289	9	2	26%	8%	74	-0.3
✕Tucker Mitchell 2022 · A	21	42	40→45	51→45	39	201/262/293	92	296	7	7	33%	6%	57	-1.8	195/269/306	111	299	13	8	37%	7%	65	-1.2	180/257/292	111	259	15	7	35%	7%	55	-0.8
✕Franklin Tineo 2016 · A	21	36	38→45	41→50	47	177/258/254	77	247	5	7	29%	9%	48	-2.5	190/264/281	91	260	7	10	28%	8%	56	-1.9	184/261/280	96	239	8	13	25%	8%	53	-0.7
✕Antonio Negron 2007 · A	21	40	41→45	42→50	50	194/285/294	100	244	9	10	23%	9%	68	-1.0	211/289/317	106	264	10	10	23%	8%	74	-0.5	206/289/314	108	245	12	12	21%	9%	73	-0.3
✕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
✕Wynston Sawyer 2014 · A	22	41	42→45	47→45	46	203/265/304	101	254	9	3	24%	7%	61	-1.5	215/280/313	98	272	8	5	23%	7%	69	-0.9	228/314/342	113	289	10	2	23%	9%	86	+0.1
✕Jorge Alcantara 2013 · A	21	42	41→45	50	43	201/271/299	98	298	8	11	33%	8%	63	-1.4	193/263/287	94	294	6	14	34%	8%	57	-1.8	147/226/244	97	221	6	25	34%	8%	33	-1.0
✕Yu Chang 2017 · A	21	40→44	45→50	49→45	38	203/253/331	128	284	12	8	32%	6%	63	-1.3	200/259/336	136	279	14	8	32%	6%	67	-1.1	212/267/370	158	271	20	6	29%	6%	76	-0.2
✕Juan Uriarte 2019 · A	21	46	41→45	49→30	41	223/277/320	96	282	8	4	23%	5%	69	-0.9	188/230/267	79	283	6	4	34%	4%	39	-3.1	147/184/208	60	226	4	0	36%	2%	5	-1.5
✕Jhostynxon Garcia 2023 · A	20	38→41	41→50	48→50	45	182/267/286	104	281	8	8	35%	9%	59	-1.7	201/262/332	131	290	13	10	34%	6%	67	-1.1	219/271/366	148	290	19	9	30%	5%	75	-0.3
✕Fernando Pujadas 2013 · A	21	43	41→40	46→30	48	208/287/304	96	264	8	3	23%	8%	70	-0.8	218/286/306	88	287	6	5	24%	7%	70	-0.9	232/290/310	78	294	4	0	21%	6%	69	-0.2

Career Stats + Projections

Career Comps

Career Path Comps