Leo Bernal — OGILVIE

Leo BernalC Memphis Redbirds

Age 22 S/R 6'0" / 245 lbs MLB HR -14%BB -5% Svc 0.000 · Ctrl thru 2031

2026 ROS PROJECTION481 act + 9 ros · stats below = ROS only

showingROS

wRC+†89

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

PA9

HR0

K%22

BB%11

BABIP278

ISO120

MLB%100%

Value2026 · WAR

2026 MLB RUNS · solid = so far · light = projected ROS (park-applied)

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$38M ctrl surplus

Tools · Recent Form · ContractCON 51 / POW 50

Toolsscout grade · Statcast %ile · 2026

CONTACT51

xAVG

900.304

POWER50

Barrel%

508.1

Avg EV

9094.8

EYE50

scouting grade only

SPEED30

Sprint

1725.9

DEFENSE58

scouting grade only

Recent Formrolling true talent ⓘ

K%19%▲▲16% over 49 PA (60d) · proj 21%

BB%8%·8% over 49 PA (60d) · proj 8%

ISO.148▲.244 over 45 AB (60d) · proj .120

HR/BB4.4%▲8.1% over 37 BBE (60d) · proj 3.1%

BABIP.266·.324 over 34 BIP (60d) · proj .264

SLASH.237/.300/.385▲▲proj .222/.285/.342

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

Status Pre-Arb

MLB Debut 2026

Service 0.000 yrs.days

Team Control Through 2031

First FA Year 2032

Year	Status	Salary	Proj WAR	Value	Surplus
2026ROS	Pre-Arb	$0.1M	+0.1	$0.5M	+$0.4M
2027	Pre-Arb	$0.8M	+1.3	$10M	+$9M
2028	Pre-Arb	$0.8M	+1.5	$10M	+$10M
2029	Arb-1	$4M	+1.6	$10M	+$7M
2030	Arb-2	$8M	+1.7	$10M	+$5M
2031	Arb-3	$12M	+1.7	$9M	+$2M
Totals		$26M		$50M	+$33M

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)
2021	17	ROK	DSL Cardinals Blue	—	178	158	33	9	1	5	17	28	3	3	1	209	298	373	671	165	224	16	10	303	91	-2	+0	—	—	+4	0.2
2022	18	A	Palm Beach Cardinals	—	171	156	40	8	1	7	12	32	2	1	1	256	318	455	773	199	280	19	7	339	116	+3	-0	—	—	+4	0.7
2023	19	A	Palm Beach Cardinals	—	323	268	71	15	1	3	49	55	3	4	1	265	384	362	746	97	319	17	15	342	118	+7	+0	—	—	+7	1.5
2024	20	AA	Springfield Cardinals	—	55	49	10	1	0	1	6	9	0	0	2	204	291	286	577	82	231	16	11	269	68	-2	-1	—	—	+1	-0.2
2024	20	A+	Peoria Chiefs	—	382	341	92	17	2	10	37	87	2	7	5	270	345	419	764	150	333	23	10	341	117	+8	-1	—	—	+8	1.6
2024	20	INTL	Glendale Desert Dogs	—	51	46	14	1	0	1	5	9	0	1	1	304	373	391	764	87	361	18	10	347	121	+1	-0	—	—	+1	0.2
2025	21	AA	Springfield Cardinals	—	455	396	98	19	0	13	49	77	3	13	3	247	334	394	728	146	274	17	11	324	106	+3	+1	—	—	+10	1.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Cardinals Blue	—	178	164	25	6	1	4	11	38	3	3	1	152	219	274	493	122	171	21	6	210	28	-15	+0	—	—	+4	-1.1
2022	18	A MLE	Palm Beach Cardinals	—	171	159	35	7	1	6	9	47	2	1	1	220	271	390	661	170	266	27	5	285	79	-4	-0	—	—	+4	-0.1
2023	19	A MLE	Palm Beach Cardinals	—	323	280	63	14	1	2	37	82	3	4	1	225	322	304	625	79	298	25	11	283	78	-9	+0	—	—	+7	-0.1
2024	20	AA MLE	Springfield Cardinals	—	55	51	9	1	0	1	4	12	0	0	2	176	236	255	491	78	218	22	7	213	30	-5	-1	—	—	+1	-0.4
2024	20	A+ MLE	Peoria Chiefs	—	382	350	75	13	1	8	28	117	2	7	5	214	276	326	602	111	295	31	7	267	67	-15	-1	—	—	+8	-0.8
2025	21	AA MLE	Springfield Cardinals	—	455	412	91	18	0	9	34	95	3	13	3	221	285	330	615	109	258	21	7	273	71	-16	+1	—	—	+10	-0.5
2021	17	ROK MLE	DSL Cardinals Blue	—	178	164	25	6	1	4	11	38	3	3	1	152	219	274	493	122	172	21	6	210	28	—	—	—	—	—	—
2021	17	ROK RAW	DSL Cardinals Blue	—	178	158	33	9	1	5	17	28	3	3	1	209	298	373	671	165	224	16	10	303	28	—	—	—	—	—	—
2022	18	A MLE	Palm Beach Cardinals	—	171	159	35	7	1	6	9	47	2	1	1	220	271	390	661	170	271	27	5	285	79	—	—	—	—	—	—
2022	18	A RAW	Palm Beach Cardinals	—	171	156	40	8	1	7	12	32	2	1	1	256	318	455	773	199	280	19	7	339	79	—	—	—	—	—	—
2023	19	A MLE	Palm Beach Cardinals	—	323	280	63	14	1	2	37	82	3	4	1	225	322	304	625	79	307	25	11	283	78	—	—	—	—	—	—
2023	19	A RAW	Palm Beach Cardinals	—	323	268	71	15	1	3	49	55	3	4	1	265	384	362	746	97	319	17	15	342	78	—	—	—	—	—	—
2024	20	A+ MLE	3 teams	—	488	448	94	16	1	9	36	144	2	8	8	210	272	310	582	100	286	30	7	260	62	—	—	—	—	—	—
2024	20	A+ RAW	3 teams	—	488	436	116	19	2	12	48	105	2	8	8	266	342	401	743	135	324	22	10	333	62	—	—	—	—	—	—
2025	21	AA MLE	Springfield Cardinals	—	455	412	91	18	0	9	34	95	3	13	3	221	285	330	615	109	263	21	7	273	71	—	—	—	—	—	—
2025	21	AA RAW	Springfield Cardinals	—	455	396	98	19	0	13	49	77	3	13	3	247	334	394	728	146	274	17	11	324	71	—	—	—	—	—	—
2021	17	ROK MLE	DSL Cardinals Blue	—	178	162	25	6	1	4	11	38	3	3	1	154	219	278	497	123	171	21	6	210	28	—	—	—	—	—	—
2022	18	A MLE	Palm Beach Cardinals	—	171	158	35	7	1	6	9	47	2	1	1	222	271	392	663	171	266	27	5	285	79	—	—	—	—	—	—
2023	19	A MLE	Palm Beach Cardinals	—	323	280	63	14	1	2	37	82	3	4	1	225	322	304	625	79	298	25	11	283	78	—	—	—	—	—	—
2024	20	A+ MLE	3 teams	—	488	447	94	16	1	9	36	144	2	8	8	210	272	311	583	101	285	30	7	260	62	—	—	—	—	—	—
2025	21	AA MLE	Springfield Cardinals	—	455	415	91	18	0	9	34	95	3	13	3	219	285	328	613	108	258	21	7	273	71	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	A MLE	Palm Beach Cardinals	—	323	280	63	14	1	2	37	82	3	4	1	225	322	304	625	79	298	25	11	283	78	—	—	—	—	—	—
2024	20	A+ MLE	3 teams	—	488	447	94	16	1	9	36	144	2	8	8	210	272	311	583	101	285	30	7	260	62	—	—	—	—	—	—
2025	21	AA MLE	Springfield Cardinals	—	455	415	91	18	0	9	34	95	3	13	3	219	285	328	613	108	258	21	7	273	71	—	—	—	—	—	—
YTD	22	AAA MLE	STL	—	481	435	107	18	2	15	39	111	2	9	8	246	311	400	711	154	293	23	8	308	94	-3	-1	+0	+9	+10	1.5
▸ 2026 season
▸ 2026 season — so far · projected rest · full
SO FAR	22	MLB RAW	STL	—	49	45	14	2	0	3	4	8	0	0	1	311	367	556	923	244	324	16	8	403	94	-0	-0	+0	+9	+1	0.9
YTD	22	AAA RAW	STL	—	432	374	104	19	2	16	51	86	2	9	7	278	368	468	836	190	318	20	12	367	94	—	—	—	—	—	—
YTD	22	MLB RAW	STL	—	49	45	14	2	0	3	4	8	0	0	1	311	367	556	923	244	324	16	8	403	159	+3	-0	+0	+1	+1	0.5
ROS	22	AAA MLE	STL	100%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		279	22	11	299	89	-0	+0	+0	+0	+0	0.0
ROS	22	MLB CTX	STL	100%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		278	22	11	292	89	-0	+0	+0	+0	+0	0.0
FULL	22	MLB A+C	STL	—	58	53	15	2	0	3	5	10	0	0	1	283	345	491	835	208	300	17	9	386	94	-0	-0	+0	+1	+1	0.2
TOT	22	AAA MLE	STL	—	490	443	108	18	2	15	40	113	2	9	8	244	309	395	704	151	291	23	8	307	94	-3	-1	+0	+9	+11	1.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	STL	82%	519	469	111	20	2	14	42	114	3	8	5	237	304	377	681	141	280	22	8	302	91	-6	-0	+1	+9	+11	1.6
2028	24	MLB MLE	STL	82%	520	470	112	20	2	15	42	113	3	8	5	238	305	385	690	147	281	22	8	309	95	-3	-0	+1	+9	+11	1.8
2029	25	MLB MLE	STL	82%	520	469	113	20	2	16	43	112	3	8	5	241	309	394	703	154	282	22	8	312	97	-2	-0	+1	+9	+11	2.0
2030	26	MLB MLE	STL	82%	520	468	113	20	2	16	44	112	3	8	5	241	311	395	706	154	282	22	8	314	98	-1	-0	+1	+9	+11	2.0
2031	27	MLB MLE	STL	82%	520	468	113	20	2	16	44	113	3	8	5	241	311	395	706	154	282	22	8	314	98	-1	-0	+1	+9	+11	2.0
2032	28	MLB MLE	STL	82%	520	467	113	20	2	16	45	113	3	8	5	242	313	396	709	154	281	22	9	313	98	-1	-0	+0	+9	+11	1.9
2033	29	MLB MLE	STL	82%	520	467	112	20	2	16	45	115	3	7	5	240	311	394	705	154	281	22	9	311	96	-2	-1	-1	+9	+11	1.8
2034	30	MLB MLE	STL	82%	520	467	111	20	2	15	45	116	3	7	4	238	309	385	694	148	279	22	9	308	95	-3	-0	-1	+9	+11	1.6
2035	31	MLB MLE	STL	82%	504	452	105	19	1	14	44	114	3	6	4	232	305	372	676	139	277	23	9	304	92	-5	-0	-2	+9	+11	1.3
2036	32	MLB MLE	STL	82%	489	441	101	17	1	14	42	112	3	4	3	229	300	367	668	138	274	23	9	298	88	-7	-0	-3	+9	+11	0.9
2037	33	MLB MLE	STL	82%	459	415	92	15	1	12	39	108	2	3	2	222	292	349	641	128	270	24	8	291	83	-9	-0	-3	+8	+10	0.5
2038	34	MLB MLE	STL	77%	402	363	79	13	1	10	34	97	2	2	1	218	288	342	630	124	264	24	8	282	77	-11	+0	-4	+7	+9	0.1
2027	23	MLB CTX	STL	82%	426	387	90	16	1	11	34	94	2	7	4	233	298	364	662	132	279	22	8	294	91	-5	-0	+1	+8	+9	1.3
2028	24	MLB CTX	STL	82%	426	386	92	16	2	12	35	93	2	7	4	238	305	383	688	145	280	22	8	300	95	-2	-0	+1	+8	+9	1.5
2029	25	MLB CTX	STL	82%	426	385	93	17	2	12	35	92	3	7	4	242	310	390	699	148	281	22	8	303	97	-1	-0	+1	+8	+9	1.6
2030	26	MLB CTX	STL	82%	426	384	93	17	2	12	36	92	3	7	4	242	312	391	703	148	281	22	8	305	98	-1	-0	+1	+8	+9	1.7
2031	27	MLB CTX	STL	82%	426	384	90	16	1	12	36	92	3	7	4	234	305	375	680	141	281	22	8	305	98	-1	-0	+1	+8	+9	1.7
2032	28	MLB CTX	STL	82%	426	383	90	16	1	12	37	93	3	6	4	235	307	376	683	141	280	22	9	304	98	-1	-0	+0	+8	+9	1.6
2033	29	MLB CTX	STL	82%	426	383	90	16	1	12	37	94	3	6	4	235	307	376	683	141	280	22	9	302	96	-2	-0	-0	+8	+9	1.5
2034	30	MLB CTX	STL	82%	426	383	90	16	1	12	37	95	3	5	3	235	307	376	683	141	278	22	9	299	95	-3	-0	-1	+8	+9	1.3
2035	31	MLB CTX	STL	82%	413	372	85	15	1	11	36	93	2	5	3	228	300	363	663	134	276	23	9	295	92	-4	-0	-2	+7	+9	1.1
2036	32	MLB CTX	STL	82%	401	361	81	14	1	10	35	92	2	4	2	224	296	352	648	127	273	23	9	290	88	-6	+0	-2	+7	+9	0.8
2037	33	MLB CTX	STL	82%	376	339	75	13	1	9	32	88	2	3	2	221	292	345	637	124	269	23	9	283	83	-8	-0	-3	+7	+8	0.4
2038	34	MLB CTX	STL	77%	312	280	61	10	1	7	27	75	2	2	1	218	291	336	627	118	263	24	9	275	77	-8	+0	-3	+6	+7	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4919	4435	1031	182	15	132	418	1095	30	66	39	232	303	370	672	137	278	22	8	297	87	-42	-2	-8	+88	+107	14.6
/ 162G	—	A+C		—	650	586	136	24	2	17	55	145	4	9	5	232	302	367	669	135	279	22	8	297	87	-6	-0	-1	+12	+14	1.9
Career	—	MLE		—	7637	6887	1584	285	24	204	637	1747	47	106	63	230	300	367	667	137	277	23	8	297	87	-51	-4	-9	+108	+130	17.7
/ 162G	—	MLE		—	650	586	134	24	2	17	54	149	4	9	5	229	298	363	662	135	276	23	8	297	87	-6	-0	-1	+12	+14	1.9

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Miguel Olivolast yr '13 career totals — 11 seasons, 3,947 PA	5.9	3,947	144	53	241	275	417	+70	+53	19.1	18.9
/162	664	24	9	+11.9	+8.8	3.2	pk7: 19
#2Freddy 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
#3John 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 11 projected seasons	7.9	5,233	149	69	235	301	379	+93	+37	18.1	15.2
/162	664	19	9	+11.9	+4.7	2.3	pk7: 12
#4Jarrod 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
#5Zack 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
#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
Leo Bernal (OGILVIE)	22	46→51	46→50	32→30	50	232/297/368	135	279	8	6	22%	8%	89	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Héctor Sánchez 2012 · MLB	22	48→49	44→50	37→30	42	239/278/358	119	290	12	2	22%	5%	78	-0.3	239/279/355	116	298	12	3	23%	5%	78	-0.3	219/264/388	169	258	23	0	25%	5%	78	-0.1
✕Phillip Cuadrado 2007 · A	23	49→51	48→50	37→40	43	247/303/388	140	299	16	4	23%	5%	95	+1.0	225/284/351	126	291	13	5	26%	6%	80	-0.2	183/249/299	115	239	12	0	28%	6%	52	-0.6
✕Brooks Lee 2023 · A	22	49→50	45→50	41→45	50	241/307/365	124	288	13	6	21%	8%	91	+0.6	240/292/372	132	280	13	6	19%	7%	86	+0.3	241/290/392	151	261	20	6	17%	6%	89	+0.4
●Jeimer Candelario 2017 · AAA	23	48→57	45→60	37→45	46	234/291/370	136	288	11	2	23%	7%	86	+0.3	234/308/391	157	297	15	3	25%	9%	97	+1.1	251/327/436	184	301	19	3	22%	9%	112	+2.1
✕Ruben Gotay 2006 · MLB	23	47→50	43→45	40→50	49	230/289/349	119	264	10	4	17%	7%	80	-0.1	235/291/353	118	284	11	8	20%	7%	82	-0.0	242/337/372	130	294	11	4	20%	12%	101	+0.7
✕Andy Marte 2006 · MLB	22	43→49	49→50	37→40	52	220/291/372	152	257	16	3	22%	9%	87	+0.4	218/267/359	141	259	15	3	22%	6%	75	-0.5	236/286/387	151	267	17	2	19%	6%	85	+0.1
●Taylor Green 2010 · AA	23	50→56	44→50	38→30	50	245/305/360	115	276	12	3	16%	7%	89	+0.5	241/297/379	138	279	14	2	18%	7%	91	+0.6	240/298/385	145	278	15	1	19%	7%	91	+0.5
●Iván Herrera 2022 · AA	22	41→51	47→50	40→50	47	212/289/339	127	271	16	4	28%	9%	79	-0.2	238/325/362	124	309	12	10	25%	10%	97	+1.1	268/364/419	151	313	19	10	19%	10%	122	+2.5
✕Daniel Robertson 2016 · AA	22	51→54	43→45	40	47	244/311/359	114	301	9	4	21%	7%	91	+0.7	236/316/340	104	306	8	4	24%	9%	89	+0.5	232/336/343	111	304	11	4	25%	11%	96	+0.6
✕Travis Denker 2007 · A	21	44→52	48→50	37→45	54	224/307/363	140	262	17	3	22%	10%	91	+0.7	226/294/349	123	276	12	5	21%	8%	82	+0.0	229/306/370	141	260	15	0	18%	8%	92	+0.4
✕Edinson Rincon 2013 · AA	22	50→55	44→45	34→30	41	248/283/365	117	300	11	2	21%	4%	82	-0.0	233/274/319	86	296	6	4	22%	5%	67	-1.1	211/263/261	50	285	2	0	25%	6%	47	-1.1
✕Michael Wing 2012 · A	23	49→53	47→55	35→40	41	245/291/380	135	306	14	4	24%	5%	88	+0.5	215/255/334	119	282	11	5	27%	4%	64	-1.3	231/273/389	158	295	17	4	27%	4%	83	+0.1
✕Hector Gimenez 2006 · AA	23	48→49	43→55	41→40	41	238/274/343	106	288	12	4	22%	5%	73	-0.6	222/263/324	102	272	11	5	22%	5%	64	-1.3	244/289/406	161	287	18	4	22%	6%	94	+0.5
✕Jarrod Saltalamacchia 2007 · AA	22	46→55	47→60	43→40	46	229/294/367	138	285	15	3	25%	7%	86	+0.3	243/308/387	144	316	16	3	27%	8%	97	+1.1	239/302/451	213	309	26	2	30%	8%	107	+1.3
✕Blake DeWitt 2008 · AA	22	48→55	46→50	40	43	238/275/368	130	275	13	4	20%	5%	80	-0.2	243/306/370	127	279	11	4	16%	8%	91	+0.7	245/319/368	123	281	10	3	16%	9%	88	+0.4
✕Jordan Diaz 2023 · MLB	22	53→57	50→55	42→30	43	269/305/423	154	308	17	3	19%	4%	103	+1.6	252/297/409	157	298	20	2	22%	5%	97	+1.1	245/293/404	159	288	22	0	23%	5%	92	+0.6
✕Hank Conger 2011 · MLB	23	50→57	45→50	41→45	49	246/302/369	123	284	12	3	18%	7%	90	+0.6	233/290/365	132	273	15	3	20%	7%	84	+0.2	230/303/385	155	283	18	0	24%	8%	92	+0.3
●Josmil Pinto 2011 · A	22	41→51	47→50	41→40	42	213/260/352	138	256	15	3	24%	5%	70	-0.8	232/281/369	137	286	14	2	23%	6%	82	+0.0	252/318/406	154	302	16	0	21%	8%	102	+1.2
✕Tyler Ogle 2014 · A	23	45→43	46→50	39→30	55	222/315/348	126	261	13	5	20%	10%	91	+0.7	219/297/362	143	270	17	3	24%	9%	88	+0.4	208/284/360	152	255	19	0	26%	9%	79	-0.1
●Dioner Navarro 2006 · MLB	22	50→60	43→50	42→45	56	243/316/352	109	260	11	5	12%	9%	91	+0.7	245/312/358	113	274	11	5	15%	9%	91	+0.7	276/326/409	133	300	17	2	14%	6%	106	+1.1

Career Stats + Projections

Career Comps

Career Path Comps