Leonel Espinoza — OGILVIE

Leonel EspinozaSS South Bend Cubs

Age 23 R/R 5'10" / 165 lbs A+ BB +5%HR -4% Svc 0.0 · Ctrl thru 2035 peak 0.7 · 2030

wRC+†53

AVG/OBP/SLG.202 / .259 / .290

PA320

HR5

SB15

K%31

BB%6

MLB%0%

Scouting · now → future

HIT

45→45

PWR

30→30

SPD

55→55

EYE

40↘30

trajectory · 10 yrs

0.7peak

2030

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	+0.7	$3M	+$2M
2031	Pre-Arb	$0.9M	+0.5	$2M	+$1M
2032	Pre-Arb	$0.9M	+0.3	$1M	+$0.5M
2033	Arb-1	$0.4M	+0.1	$0.5M	+$0.1M
2034	Arb-2	$0.4M	—	—	—
2035	Arb-3	$0.6M	—	—	—
Totals		$0.5M		$5M	+$4M

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	18	ROK	DSL Cubs Blue	204	181	26	3	1	3	13	62	9	11	3	.144	.236	.221	.457	.077	.197	30	6	.199	11	-21	+1	+0	+2	+6	-1.2
2023	20	ROK	2 teams	200	182	39	7	1	1	11	58	6	13	6	.214	.281	.280	.562	.066	.309	29	6	.255	53	-11	+0	+0	+2	+6	-0.3
2024	21	A	2 teams	284	250	49	8	4	4	21	93	12	10	4	.196	.290	.308	.598	.112	.294	33	7	.267	62	-12	+0	+0	+3	+8	-0.1
2025	22	A	3 teams	517	487	105	13	1	6	22	155	4	33	10	.216	.255	.283	.539	.068	.300	30	4	.237	40	-35	+3	+0	+6	+15	-1.3
▸ 2026 Season (actual · ROS · total)
2026	23	A+	South Bend Cubs	45	38	6	2	1	1	5	18	2	5	0	.158	.289	.342	.631	.184	.263	40	11	.254	53	-2	+1	+0	+0	+1	0.0
ROS	23	MLB	CHC	275	251	50	8	2	4	17	87	5	10	2	.199	.264	.295	.559	.096	.283	32	6	.254	53	-15	+1	+0	+3	+8	-0.3
TOT	23	MLB	CHC	320	289	56	10	3	5	22	105	7	15	2	.194	.267	.301	.568	.107	.283	33	7	.254	53	-17	+2	+0	+3	+9	-0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 10%	CHC	487	442	91	15	3	8	33	133	9	16	3	.206	.275	.308	.582	.102	.274	27	7	.267	63	-20	+2	+0	+5	+14	0.1
2028	25	MLB 25%	CHC	514	464	99	17	3	10	36	138	9	16	3	.213	.283	.328	.610	.114	.276	27	7	.275	69	-18	+2	+0	+6	+15	0.4
2029	26	MLB 43%	CHC	530	477	102	17	3	11	39	141	9	16	3	.214	.286	.331	.617	.117	.278	27	7	.280	72	-17	+2	+0	+6	+15	0.6
2030	27	MLB 58%	CHC	535	481	104	18	3	11	40	142	9	15	3	.216	.289	.335	.623	.119	.278	27	7	.281	73	-16	+2	+0	+6	+15	0.7
2031	28	MLB 68%	CHC	533	479	102	17	3	11	40	143	9	13	2	.213	.286	.330	.616	.117	.278	27	8	.280	72	-17	+2	-1	+6	+15	0.5
2032	29	MLB 86%	CHC	526	472	100	17	3	10	40	143	9	12	2	.212	.286	.324	.610	.112	.277	27	8	.278	71	-17	+2	-1	+6	+15	0.3
2033	30	MLB 92%	CHC	516	463	97	16	3	10	39	142	9	11	1	.210	.284	.322	.606	.112	.275	28	8	.274	68	-19	+2	-2	+6	+15	0.1
2034	31	MLB	CHC	503	452	94	16	3	9	38	140	8	9	0	.208	.281	.316	.597	.108	.274	28	8	.271	65	-20	+2	-3	+5	+14	-0.1
2035	32	MLB	CHC	485	437	89	15	3	8	37	138	8	7	0	.204	.278	.307	.585	.103	.272	28	8	.266	62	-21	+1	-4	+5	+14	-0.4
2036	33	MLB	CHC	456	412	80	13	2	7	34	133	7	6	0	.194	.267	.286	.554	.092	.271	29	7	.261	58	-22	+1	-4	+5	+13	-0.7
2037	34	MLB	CHC	410	369	72	12	2	6	31	123	7	5	0	.195	.270	.287	.558	.092	.269	30	8	.255	53	-22	+1	-5	+4	+12	-1.0
▸ Career Totals (MLE all levels + projections)
Career	—			6975	6299	1299	212	40	119	491	1971	129	203	42	.206	.277	.309	.587	.103	.278	28	7	.266	62	-302	+24	-20	+75	+198	-2.6
/ 162G	—			650	587	121	20	4	11	46	184	12	19	4	.206	.278	.310	.588	.104	.278	28	7	.266	62	-28	+2	-2	+7	+18	-0.2

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	18	ROK	DSL Cubs Blue	204	173	39	5	1	8	21	43	9	11	3	.225	.340	.405	.745	.179	.252	21	10	.336	115	+4	+1	—	—	+6	1.1
2023	20	A	Myrtle Beach Pelicans	52	47	6	1	0	0	2	15	2	2	1	.128	.196	.149	.345	.021	.188	29	4	.167	-14	-7	+0	—	—	+1	-0.5
2023	20	ROK	ACL Cubs	148	129	47	9	2	2	15	26	4	11	5	.364	.446	.512	.958	.147	.446	18	10	.427	185	+14	+0	—	—	+4	1.9
2024	21	A	Myrtle Beach Pelicans	257	215	56	11	5	5	30	60	11	10	4	.260	.379	.428	.807	.167	.340	23	12	.363	136	+10	+0	—	—	+7	1.8
2024	21	ROK	ACL Cubs	27	22	6	0	1	0	4	5	1	0	0	.273	.407	.364	.771	.091	.353	19	15	.358	132	+1	+0	—	—	+1	0.2
2025	22	A+	South Bend Cubs	89	82	20	1	0	0	6	12	0	10	0	.244	.295	.256	.552	.012	.282	13	7	.255	53	-5	+2	—	—	+3	-0.0
2025	22	A	Myrtle Beach Pelicans	408	370	100	15	2	6	31	90	4	21	8	.270	.333	.370	.704	.100	.339	22	8	.317	101	+0	+1	—	—	+12	1.3
2025	22	INTL	Leones del Caracas	20	19	6	1	0	0	1	5	0	2	2	.316	.350	.368	.718	.053	.429	25	5	.325	107	+0	-0	—	—	+1	0.0

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
Leonel Espinoza (OGILVIE)	23	45	30	55	30	.202/.259/.290	.088	.285	5	9	31%	6%	51	-0.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Blake Rambusch 2023 · A	23	47	37→30	52→60	42	.219/.287/.296	.076	.318	4	13	30%	7%	63	-0.8	.226/.311/.291	.065	.315	3	28	26%	9%	72	-0.2	.233/.319/.287	.055	.311	2	37	23%	9%	71	-0.1
✕Johnni Turbo 2012 · A	23	45→49	38→40	55	35	.213/.250/.292	.078	.308	5	16	31%	4%	46	-2.0	.233/.266/.321	.088	.297	6	17	23%	4%	59	-1.1	.238/.275/.302	.064	.295	3	18	19%	4%	56	-0.4
✕Cutter Dykstra 2012 · A	23	45→55	37→40	51→55	41	.212/.268/.283	.070	.299	5	16	29%	6%	51	-1.7	.228/.289/.311	.083	.308	6	16	26%	7%	68	-0.5	.236/.303/.323	.087	.313	6	16	25%	8%	75	-0.0
✕Najee Gaskins 2022 · A	24	46	39→30	52→50	39	.215/.273/.302	.086	.316	6	14	32%	6%	59	-1.1	.212/.282/.289	.077	.360	4	9	39%	6%	60	-1.0	.208/.293/.267	.059	.377	2	10	41%	7%	58	-0.5
✕Ronaldo Urdaneta 2021 · A	22	44	39→40	53→60	40	.210/.265/.300	.090	.306	6	14	32%	6%	54	-1.4	.187/.266/.264	.077	.308	6	22	38%	8%	47	-1.9	.145/.239/.202	.057	.243	5	33	39%	9%	19	-1.1
✕Mikey Edie 2019 · A	22	47	35→30	51→50	35	.214/.264/.277	.063	.323	2	15	33%	4%	48	-1.9	.207/.258/.278	.071	.287	4	8	28%	4%	46	-2.0	.193/.240/.251	.058	.266	3	7	27%	3%	27	-1.7
✕Cody Koback 2013 · A	23	46→47	38→30	51→50	36	.219/.268/.296	.077	.310	6	13	30%	4%	55	-1.4	.217/.267/.278	.061	.288	3	12	24%	5%	50	-1.8	.214/.265/.255	.042	.277	0	12	21%	4%	40	-1.9
✕Francisco Martinez 2014 · AA	23	47→49	38→40	51→55	39	.222/.262/.298	.076	.304	5	17	28%	5%	52	-1.6	.214/.247/.294	.080	.295	6	19	28%	4%	44	-2.1	.211/.236/.294	.083	.285	6	20	28%	3%	36	-1.9
✕Adam Hall 2022 · A	23	46→48	38→40	56→60	37	.212/.278/.288	.076	.325	5	22	34%	5%	58	-1.2	.214/.287/.281	.067	.338	3	23	35%	6%	60	-1.0	.218/.296/.266	.048	.353	1	33	35%	6%	57	-0.5
✕Corey Joyce 2022 · AA	23	41	39→45	53→50	39	.193/.262/.274	.080	.300	7	13	36%	7%	48	-1.9	.208/.307/.328	.120	.294	12	12	31%	10%	82	+0.5	.212/.315/.318	.105	.301	9	14	29%	10%	80	+0.2
✕Jacob Young 2022 · A	23	43→53	38→40	57→60	43	.206/.257/.288	.083	.264	5	20	24%	6%	48	-1.9	.238/.299/.313	.075	.302	4	31	21%	6%	72	-0.2	.248/.310/.323	.074	.311	3	36	20%	6%	76	+0.1
✕Ray-Patrick Didder 2018 · A	23	42→46	38→45	52→60	39	.200/.276/.278	.078	.288	5	18	30%	6%	56	-1.3	.187/.267/.264	.077	.298	6	23	36%	7%	48	-1.9	.195/.280/.308	.112	.279	12	28	32%	8%	62	-0.6
✕Andrew Sohn 2016 · A	23	45	38→30	52→55	41	.216/.269/.295	.078	.278	6	17	24%	5%	55	-1.4	.203/.274/.280	.077	.276	6	16	27%	7%	54	-1.4	.170/.262/.222	.052	.238	5	18	28%	9%	32	-1.4
✕Jose Cordova 2023 · A	23	44	36→40	49→50	38	.205/.258/.274	.069	.299	3	8	31%	5%	45	-2.1	.213/.269/.289	.076	.307	4	9	30%	6%	53	-1.5	.224/.290/.312	.088	.305	6	10	27%	8%	65	-0.4
✕Delvin Pérez 2022 · AA	23	46→47	36→30	52→55	37	.215/.260/.277	.062	.305	4	19	30%	4%	46	-2.0	.203/.263/.287	.084	.303	8	25	33%	7%	51	-1.7	.187/.252/.257	.071	.272	7	29	32%	7%	36	-1.5
✕Stephen Alemais 2018 · A	23	44→54	40	46→50	41	.214/.261/.308	.095	.280	7	11	26%	6%	55	-1.4	.235/.286/.307	.072	.301	4	14	22%	6%	65	-0.7	.253/.308/.311	.059	.317	1	16	19%	7%	74	-0.0
✕Mike Martin 2017 · A	24	45	36→30	51→55	44	.210/.279/.272	.062	.287	4	14	27%	7%	54	-1.4	.230/.281/.300	.070	.287	4	18	20%	6%	61	-1.0	.245/.291/.304	.059	.296	2	27	17%	5%	63	-0.4
✕Noel Cuevas 2015 · AA	23	45→50	42→45	54→55	40	.219/.262/.326	.107	.279	9	17	25%	5%	60	-1.0	.233/.267/.328	.095	.304	7	18	25%	4%	62	-0.9	.249/.283/.353	.103	.310	8	12	22%	3%	72	-0.1
✕Dru Baker 2022 · A	22	45→55	38→40	55→60	41	.214/.268/.296	.082	.300	4	13	29%	6%	55	-1.4	.238/.294/.344	.106	.336	10	29	30%	6%	79	+0.3	.245/.298/.334	.089	.343	8	39	29%	6%	73	-0.1
✕Anthony Jimenez 2019 · A	23	47→44	41→45	50→55	34	.224/.265/.328	.103	.332	8	17	34%	4%	62	-0.9	.206/.259/.305	.099	.308	8	14	34%	5%	54	-1.4	.166/.231/.257	.092	.251	6	18	34%	5%	27	-1.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)