Leo Bernal — OGILVIE

Leo BernalC Memphis Redbirds

INJURED · Reassigned to Minors (RM)

Age 22 S/R 6'0" / 245 lbs AAA HR -7%K -4% Svc 0.0 · Ctrl thru 2032 peak 2.2 · 2030

wRC+†60

AVG/OBP/SLG.218 / .285 / .334

PA199

HR4

SB5

K%25

BB%8

MLB%40%

Scouting · now → future

HIT

50→50

PWR

50→50

SPD

30→30

FLD

52↗56

EYE

47↗52

trajectory · 10 yrs

2.1peak

2030

Contract

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

Status MiLB

MLB Debut 2027

Service 0 yrs (est)

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2027
2027	Pre-Arb	$0.8M	+1.3	$11M	+$10M
2028	Pre-Arb	$0.8M	+1.8	$15M	+$14M
2029	Arb-1	$0.8M	+2.0	$17M	+$17M
2030	Arb-2	$4M	+2.2	$20M	+$16M
2031	Arb-3	$7M	+2.2	$20M	+$13M
2032	Ext / FA-deal	$10M	+2.1	$20M	+$10M
Totals		$24M		$104M	+$80M

Career Projections (MLE)

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	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
2021	17	ROK	DSL Cardinals Blue	178	165	24	6	0	4	10	37	3	3	1	.145	.208	.255	.462	.109	.161	21	6	.205	15	-17	+0	+0	+3	+5	-0.9
2022	18	A	Palm Beach Cardinals	171	159	35	6	1	7	9	48	2	1	1	.220	.271	.403	.673	.182	.267	28	5	.290	80	-4	-0	+0	+3	+5	0.4
2023	19	A	Palm Beach Cardinals	323	280	63	14	1	2	37	81	3	4	1	.225	.322	.304	.625	.079	.305	25	11	.285	76	-9	+0	+0	+6	+9	0.7
2024	20	A+	3 teams	488	448	97	16	2	9	36	137	2	8	8	.217	.278	.321	.599	.105	.289	28	7	.263	60	-22	-2	+0	+9	+14	-0.1
2025	21	AA	Springfield Cardinals	455	411	89	17	0	10	35	101	3	13	3	.217	.283	.331	.614	.114	.260	22	8	.272	66	-17	+1	+0	+8	+13	0.5
▸ 2026 Season (actual · ROS · total)
2026	22	AAA	Memphis Redbirds	79	71	15	2	0	2	6	23	0	3	1	.211	.273	.324	.597	.113	.271	29	8	.242	43	-5	+0	+0	+1	+2	-0.1
ROS	22	MLB	STL	120	109	24	4	0	3	9	31	1	2	1	.220	.286	.339	.625	.119	.275	26	8	.279	72	-4	+0	+0	+2	+3	0.2
TOT	22	MLB	STL	199	180	39	6	0	5	15	54	1	5	2	.217	.281	.333	.614	.117	.274	27	8	.264	60	-9	+0	+0	+4	+6	0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 64%	STL	517	466	105	19	1	12	43	117	3	10	4	.225	.295	.348	.643	.122	.272	23	8	.289	79	-12	+0	+1	+9	+15	1.3
2028	24	MLB 87%	STL	520	467	107	19	1	14	45	116	3	9	3	.229	.301	.364	.665	.135	.274	22	9	.298	86	-8	+1	+1	+9	+15	1.8
2029	25	MLB	STL	520	466	107	19	1	14	46	115	3	9	3	.230	.303	.365	.668	.135	.276	22	9	.304	91	-6	+1	+1	+9	+15	2.0
2030	26	MLB	STL	520	465	109	20	1	15	47	115	3	8	3	.234	.309	.378	.687	.144	.277	22	9	.307	93	-4	+0	+1	+9	+15	2.2
2031	27	MLB	STL	520	465	108	19	1	15	47	116	3	8	3	.232	.307	.374	.681	.142	.277	22	9	.307	93	-4	+0	+1	+9	+15	2.2
2032	28	MLB	STL	520	464	108	19	1	15	48	117	3	7	2	.233	.309	.375	.684	.142	.277	22	9	.305	92	-5	+1	+0	+9	+15	2.1
2033	29	MLB	STL	520	464	106	19	1	14	48	118	3	6	2	.228	.305	.364	.669	.136	.276	23	9	.303	90	-6	+0	-0	+9	+15	1.9
2034	30	MLB	STL	520	464	106	19	1	14	48	120	3	4	1	.228	.305	.364	.669	.136	.274	23	9	.300	88	-7	+0	-1	+9	+15	1.7
2035	31	MLB	STL	504	450	101	18	1	13	46	118	3	2	0	.224	.301	.356	.656	.131	.273	23	9	.296	85	-9	+0	-2	+9	+14	1.4
2036	32	MLB	STL	489	438	97	17	1	12	45	118	3	0	0	.221	.298	.347	.645	.126	.272	24	9	.292	81	-10	+0	-3	+9	+14	1.0
2037	33	MLB	STL	458	411	90	16	1	11	42	113	2	0	0	.219	.295	.343	.638	.124	.270	25	9	.286	77	-12	+0	-3	+8	+13	0.6
2038	34	MLB	STL	402	360	77	13	1	9	37	103	2	0	0	.214	.291	.331	.621	.117	.268	26	9	.280	72	-13	+0	-4	+7	+11	0.2
2039	35	MLB	STL	341	305	64	11	1	7	31	91	2	0	0	.210	.287	.321	.608	.111	.266	27	9	.272	67	-13	+0	-5	+6	+10	-0.2
2040	36	MLB	STL	280	252	49	8	0	5	25	77	1	0	0	.194	.270	.286	.555	.091	.263	28	9	.263	60	-13	+0	-6	+5	+8	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			8366	7509	1666	299	17	205	734	1989	51	94	36	.222	.296	.348	.644	.126	.272	24	9	.289	80	-193	+4	-19	+149	+237	18.2
/ 162G	—			650	583	129	23	1	16	57	155	4	7	3	.221	.295	.346	.642	.125	.272	24	9	.289	80	-15	+0	-2	+12	+18	1.4

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
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	90	-2	+0	—	—	+5	0.3
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	118	+3	-0	—	—	+5	0.8
2023	19	A	Palm Beach Cardinals	323	268	71	15	1	3	49	55	3	4	1	.265	.384	.362	.746	.097	.319	17	15	.342	120	+7	+0	—	—	+9	1.7
2024	20	AA	Springfield Cardinals	55	49	10	1	0	1	6	9	0	0	2	.204	.291	.286	.577	.082	.231	16	11	.269	64	-2	-1	—	—	+2	-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	119	+8	-1	—	—	+11	1.9
2024	20	INTL	Glendale Desert Dogs	51	46	14	1	0	1	5	9	0	1	1	.304	.373	.391	.764	.087	.361	18	10	.347	124	+1	-0	—	—	+1	0.3
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	—	—	+13	1.8

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	50	50	30	52	.218/.285/.334	.116	.276	4	3	25%	8%	73	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Héctor Sánchez 2012 · MLB	22	48→49	44→50	38→30	42	.236/.275/.352	.116	.285	11	2	22%	5%	72	-0.2	.237/.276/.353	.116	.294	12	3	23%	5%	73	-0.1	.219/.264/.393	.174	.256	24	0	25%	5%	76	+0.0
●Daniel Robertson 2016 · AA	22	50→54	43→45	39→40	47	.243/.309/.358	.114	.300	9	3	22%	7%	89	+1.0	.237/.316/.346	.109	.306	9	4	24%	8%	89	+1.0	.234/.338/.350	.116	.305	12	4	25%	11%	96	+0.8
●Jeimer Candelario 2017 · AAA	23	46→55	45→60	37→45	45	.229/.284/.364	.136	.283	11	2	23%	7%	79	+0.3	.233/.305/.392	.159	.294	15	3	25%	9%	96	+1.5	.247/.323/.429	.182	.296	19	3	22%	9%	111	+2.3
✕Phillip Cuadrado 2007 · A	23	48	49→50	38→40	42	.242/.295/.386	.144	.288	17	5	23%	5%	91	+1.1	.224/.281/.353	.129	.285	14	5	26%	6%	76	+0.1	.183/.249/.299	.115	.239	12	0	28%	6%	46	-0.6
✕Ruben Gotay 2006 · MLB	23	47→49	44→45	41→50	49	.231/.289/.351	.120	.266	10	5	17%	7%	79	+0.3	.235/.290/.358	.123	.282	11	8	20%	6%	81	+0.4	.242/.337/.372	.130	.294	11	4	20%	12%	101	+0.9
✕Edinson Rincon 2013 · AA	22	49→53	45	35→30	41	.241/.278/.362	.121	.291	12	2	22%	5%	76	+0.1	.231/.271/.321	.090	.296	7	4	23%	5%	63	-0.9	.201/.254/.250	.049	.279	2	0	27%	6%	33	-1.2
●Michael Wing 2012 · A	23	49→53	46→55	36→40	42	.243/.290/.375	.131	.304	13	4	24%	5%	85	+0.7	.217/.257/.338	.121	.282	11	5	26%	4%	61	-1.0	.236/.277/.407	.172	.297	19	4	27%	4%	88	+0.6
✕Brooks Lee 2023 · A	22	49→48	45→50	42→45	50	.241/.306/.362	.121	.287	12	6	20%	8%	89	+0.9	.238/.290/.375	.137	.278	14	6	19%	7%	85	+0.7	.236/.287/.374	.138	.267	16	5	18%	6%	80	+0.3
✕Andy Marte 2006 · MLB	22	43→50	52→55	38→40	51	.226/.295/.393	.167	.260	19	4	22%	9%	92	+1.2	.222/.271/.377	.155	.261	18	3	22%	6%	78	+0.2	.236/.285/.394	.158	.264	19	2	19%	6%	85	+0.4
●Taylor Green 2008 · A	21	47→55	44→50	36→30	47	.234/.290/.354	.120	.275	12	2	20%	7%	79	+0.3	.242/.300/.369	.127	.278	14	3	18%	7%	88	+0.9	.245/.302/.390	.145	.278	15	0	17%	7%	94	+1.0
✕Blake DeWitt 2008 · AA	22	47→55	46→50	40	43	.235/.273/.366	.131	.273	14	4	20%	5%	76	+0.0	.243/.304/.373	.130	.279	12	4	17%	8%	90	+1.0	.245/.319/.369	.124	.281	10	3	16%	9%	87	+0.7
✕Luis García Jr. 2022 · MLB	22	48→57	47→50	43→50	42	.243/.274/.376	.133	.279	15	6	20%	4%	79	+0.3	.266/.301/.412	.146	.307	15	9	18%	5%	99	+1.7	.270/.306/.407	.137	.308	14	13	17%	5%	97	+1.4
✕Rio Ruiz 2017 · AAA	23	49→52	42→50	38→40	49	.236/.299/.340	.105	.300	9	3	24%	8%	80	+0.4	.224/.281/.346	.122	.286	13	3	25%	7%	74	-0.1	.223/.289/.369	.145	.265	17	3	22%	8%	81	+0.2
✕Anderson Hidalgo 2011 · A	22	50	41→45	36→50	45	.242/.295/.345	.103	.303	8	5	22%	6%	79	+0.3	.221/.271/.319	.098	.288	7	3	24%	6%	63	-0.9	.207/.258/.299	.091	.270	7	1	25%	5%	48	-1.1
✕Jose Lobatón 2007 · A	22	44	42→45	43→30	47	.212/.290/.319	.108	.298	9	5	30%	9%	71	-0.3	.217/.282/.343	.126	.297	13	3	29%	8%	74	-0.1	.241/.325/.370	.129	.305	12	0	23%	11%	94	+0.6
✕Omar Mendoza 2007 · AAA	24	50→54	44→45	40→45	47	.244/.297/.363	.118	.292	11	7	20%	7%	85	+0.7	.245/.295/.361	.116	.290	11	9	19%	7%	83	+0.6	.240/.301/.344	.104	.284	12	8	19%	8%	79	+0.1
✕Yusniel Díaz 2019 · AA	22	48→52	44→45	42→50	46	.236/.294/.356	.120	.303	12	10	26%	8%	82	+0.5	.216/.275/.345	.129	.292	13	7	29%	7%	72	-0.2	.205/.272/.325	.121	.274	14	9	29%	8%	63	-0.4
●Hector Gimenez 2006 · AA	23	47→49	44→60	42→40	41	.233/.270/.346	.113	.285	13	5	23%	5%	69	-0.4	.223/.263/.328	.105	.273	12	5	23%	5%	61	-1.0	.240/.290/.428	.187	.283	23	3	24%	6%	99	+1.0
●Jarrod Saltalamacchia 2007 · AA	22	46→54	48→60	43→40	45	.231/.294/.376	.145	.290	16	4	26%	7%	88	+0.9	.243/.307/.392	.149	.314	17	3	27%	8%	97	+1.5	.234/.298/.435	.201	.302	25	2	30%	8%	101	+1.3
✕Chris Valaika 2008 · A	22	48→56	43→45	37→40	38	.232/.278/.346	.114	.305	10	3	27%	4%	72	-0.2	.241/.277/.355	.114	.306	11	4	24%	4%	74	-0.1	.246/.276/.353	.107	.305	10	4	23%	3%	70	-0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)