Yunior Garcia — OGILVIE

Yunior GarciaOF Great Lakes Loons

Age 25 R/R 6'0" / 198 lbs A+ HR +15%K -3% Svc 0.0 · Ctrl thru 2035

wRC+†67

AVG/OBP/SLG.208 / .271 / .332

PA76

HR2

K%30

BB%7

MLB%0%

trajectory · 10 yrs

-0.1peak

2026

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	Arb-2	$0.9M	—	—	—
2031	Arb-3	$0.9M	—	—	—
2032	Ext / FA-deal	$0.9M	—	—	—
2033	Ext / FA-deal	$0.2M	—	—	—
2034	Ext / FA-deal	$0.4M	—	—	—
2035	Ext / FA-deal	$0.6M	—	—	—
Totals		$-1.0M		$-22M	-$21M

Underwater contract
Projected production over the remaining contract is worth -$21M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

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
2018	17	ROK	DSL Dodgers Robinson	191	176	27	5	3	4	11	59	4	8	2	.153	.220	.284	.504	.131	.204	31	6	.214	22	-17	+1	+0	-1	+5	-1.2
2019	18	ROK	AZL Dodgers Lasorda	75	72	11	2	0	2	1	37	1	0	1	.153	.176	.264	.440	.111	.265	49	1	.176	-7	-9	-0	+0	-0	+2	-0.8
2021	20	ROK	ACL Dodgers	124	114	23	3	0	3	6	43	3	2	0	.202	.260	.307	.567	.105	.290	35	5	.249	49	-7	+0	+0	-1	+4	-0.4
2022	21	A	2 teams	411	379	91	24	1	9	22	124	9	2	0	.240	.298	.380	.678	.140	.332	30	5	.289	79	-10	+0	+0	-2	+12	-0.0
2023	22	A+	2 teams	176	164	37	3	1	4	7	58	3	0	0	.226	.270	.329	.599	.104	.317	33	4	.262	59	-8	+0	+0	-1	+5	-0.4
2024	23	A+	2 teams	148	140	22	4	0	5	4	53	1	0	0	.157	.186	.293	.479	.136	.200	36	3	.199	10	-15	+0	+0	-1	+4	-1.2
▸ 2026 Season
2026	25	MLB	LAD	76	70	15	3	0	2	5	23	1	1	0	.214	.276	.343	.619	.129	.281	30	7	.273	67	-3	+0	+0	-0	+2	-0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	26	MLB 10%	LAD	129	118	26	5	1	3	9	38	1	2	1	.220	.281	.356	.637	.136	.284	29	7	.282	74	-4	+0	+0	-1	+4	-0.1
2028	27	MLB 25%	LAD	220	200	44	8	1	6	16	63	2	3	1	.220	.284	.360	.644	.140	.284	29	7	.285	76	-6	+0	+0	-1	+6	-0.1
2029	28	MLB 37%	LAD	283	257	55	10	1	7	21	81	3	4	1	.214	.281	.342	.624	.128	.284	29	7	.286	77	-7	+0	-1	-2	+8	-0.1
2030	29	MLB 47%	LAD	319	289	62	11	2	8	24	92	3	4	1	.215	.282	.349	.631	.135	.284	29	8	.285	76	-9	+0	-1	-2	+9	-0.3
2031	30	MLB 55%	LAD	342	310	66	12	2	8	26	99	3	3	0	.213	.280	.342	.622	.129	.282	29	8	.282	74	-10	+1	-2	-2	+10	-0.4
2032	31	MLB 66%	LAD	342	310	66	12	2	8	26	101	3	2	0	.213	.280	.342	.622	.129	.281	30	8	.278	71	-11	+0	-3	-2	+10	-0.6
2033	32	MLB 83%	LAD	334	303	62	11	1	8	25	100	3	0	0	.205	.272	.327	.599	.122	.279	30	7	.273	67	-12	+0	-4	-2	+9	-0.9
2034	33	MLB	LAD	310	281	57	10	1	7	23	95	3	0	0	.203	.270	.320	.591	.117	.278	31	7	.268	63	-13	+0	-4	-2	+9	-1.0
2035	34	MLB	LAD	270	246	49	9	1	6	20	85	2	0	0	.199	.265	.317	.582	.118	.276	31	7	.261	58	-13	+0	-5	-2	+8	-1.2
▸ Career Totals (MLE all levels + projections)
Career	—			3750	3429	713	132	17	90	246	1151	45	31	7	.208	.270	.335	.605	.127	.282	31	7	.269	64	-154	+3	-20	-22	+106	-8.8
/ 162G	—			650	594	124	23	3	16	43	200	8	5	1	.209	.271	.338	.610	.130	.283	31	7	.269	64	-27	+1	-3	-4	+18	-1.5

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
2018	17	ROK	DSL Dodgers Robinson	191	168	38	8	4	5	19	41	4	8	2	.226	.319	.411	.730	.185	.270	21	10	.326	108	+2	+1	—	—	+5	0.8
2019	18	ROK	AZL Dodgers Lasorda	75	72	17	3	0	3	1	26	1	0	1	.236	.257	.403	.660	.167	.318	35	1	.286	77	-2	-0	—	—	+2	-0.0
2021	20	ROK	ACL Dodgers	124	110	33	5	1	4	10	29	3	2	0	.300	.374	.473	.847	.173	.372	23	8	.374	144	+6	+0	—	—	+4	1.0
2022	21	A+	Great Lakes Loons	34	33	5	0	0	0	0	12	0	0	0	.152	.152	.152	.303	.000	.227	35	0	.133	-40	-5	+0	—	—	+1	-0.5
2022	21	A	Rancho Cucamonga Quakes	377	334	102	28	1	13	33	75	9	2	0	.305	.382	.512	.894	.207	.362	20	9	.394	160	+25	+0	—	—	+11	3.7
2023	22	A+	Great Lakes Loons	125	114	31	3	0	5	7	36	2	0	0	.272	.325	.430	.755	.158	.347	29	6	.331	112	+2	+0	—	—	+4	0.5
2023	22	ROK	ACL Dodgers	51	47	14	2	1	0	3	9	1	0	0	.298	.353	.383	.736	.085	.368	18	6	.333	113	+1	+0	—	—	+1	0.2
2024	23	A+	Great Lakes Loons	113	106	17	3	0	5	3	30	1	0	0	.160	.188	.330	.518	.170	.167	27	3	.223	29	-9	+0	—	—	+3	-0.6
2024	23	ROK	ACL Mariners	35	30	9	2	0	1	3	10	0	0	0	.300	.364	.467	.830	.167	.381	29	9	.348	124	+1	+0	—	—	+1	0.2

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
Yunior Garcia (OGILVIE)	25	—	—	—	—	.208/.271/.332	.124	.281	2	1	30%	7%	67	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Tristin English 2022 · A	25	38→48	44→50	45→40	38	.193/.258/.304	.111	.279	13	9	34%	6%	54	-1.4	.213/.276/.337	.124	.283	15	5	29%	6%	70	-0.3	.227/.282/.364	.137	.284	16	2	26%	5%	76	+0.0
✕Kyle Datres 2021 · A	25	41→43	48→50	51→55	42	.208/.274/.354	.146	.273	15	15	29%	6%	74	-0.1	.211/.290/.356	.145	.288	17	21	31%	8%	82	+0.5	.206/.292/.349	.143	.282	18	27	32%	9%	79	+0.1
✕Logan Hill 2018 · AA	25	40	49→50	45	39	.208/.269/.354	.146	.290	17	7	34%	6%	72	-0.2	.206/.268/.356	.150	.296	19	4	35%	7%	72	-0.2	.195/.258/.345	.150	.278	19	1	36%	6%	62	-0.7
✕Nick Podkul 2022 · AA	25	40	43→50	51→50	47	.197/.273/.309	.112	.261	11	12	28%	8%	62	-0.9	.211/.298/.361	.150	.289	18	7	32%	9%	86	+0.8	.205/.302/.363	.158	.282	20	3	32%	10%	84	+0.3
✕Jeremy Rathjen 2015 · A	25	43→41	47→45	51→50	46	.218/.288/.352	.134	.277	14	14	26%	8%	79	+0.3	.203/.259/.334	.131	.274	15	9	30%	6%	62	-0.9	.157/.206/.270	.114	.211	13	5	32%	5%	20	-1.6
✕Zander Wiel 2018 · A	25	40→49	45→50	51→45	43	.202/.261/.331	.129	.269	12	6	29%	7%	62	-0.9	.217/.268/.364	.147	.293	15	6	30%	6%	73	-0.1	.216/.265/.378	.161	.290	18	5	31%	5%	74	-0.0
✕Cory Vaughn 2014 · AA	25	41→40	46→45	52→50	43	.206/.282/.335	.128	.284	14	13	31%	8%	72	-0.2	.191/.260/.302	.111	.275	11	13	33%	7%	55	-1.4	.162/.234/.261	.099	.235	10	12	34%	7%	30	-1.7
✕Quincy Latimore 2014 · AA	25	40→42	46→50	43→50	39	.205/.258/.334	.128	.275	14	8	30%	6%	61	-1.0	.218/.270/.353	.135	.288	15	10	29%	6%	71	-0.3	.208/.262/.346	.138	.275	16	8	30%	6%	63	-0.6
✕Eric Wagaman 2023 · AA	25	39→49	48→50	48→45	45	.205/.268/.344	.139	.258	16	5	27%	8%	69	-0.4	.231/.283/.378	.147	.282	17	11	24%	7%	83	+0.6	.241/.289/.388	.147	.287	15	11	22%	6%	85	+0.5
✕Stuart Fairchild 2021 · AA	25	44→43	44→50	47→55	42	.213/.278/.333	.119	.289	10	10	29%	7%	69	-0.4	.224/.300/.381	.157	.295	17	13	29%	7%	92	+1.2	.220/.305/.384	.164	.292	18	16	29%	8%	91	+0.6
✕Hunter Owen 2019 · A	25	42→38	49→55	47→40	34	.212/.270/.358	.146	.294	16	5	33%	4%	73	-0.1	.210/.269/.375	.165	.305	22	4	37%	5%	78	+0.2	.191/.252/.363	.171	.280	26	2	40%	5%	66	-0.4
✕Dustin Geiger 2017 · AA	25	40→47	45→50	47→40	41	.202/.259/.325	.123	.279	13	6	32%	7%	59	-1.1	.193/.254/.316	.123	.290	14	5	36%	6%	56	-1.3	.167/.233/.287	.119	.253	14	1	38%	7%	37	-1.2
✕Jose Pineda 2007 · A	25	43→41	44→45	49→45	45	.213/.284/.325	.113	.293	11	10	30%	8%	70	-0.3	.219/.276/.365	.146	.301	17	7	32%	6%	77	+0.1	.215/.264/.384	.170	.287	22	3	33%	5%	74	-0.0
✕Steffan Wilson 2011 · AA	25	43→47	46→50	45	42	.218/.271/.345	.127	.290	14	7	30%	6%	69	-0.4	.205/.253/.299	.094	.276	9	7	28%	6%	50	-1.8	.197/.240/.272	.075	.256	7	4	25%	5%	33	-2.2
✕Grant Witherspoon 2022 · A	25	41→45	48→55	49→50	41	.211/.261/.351	.140	.281	17	12	31%	6%	67	-0.5	.218/.277/.370	.152	.302	18	13	32%	7%	79	+0.3	.202/.269/.344	.142	.282	17	13	33%	8%	65	-0.4
●Sean Bouchard 2021 · A	25	39→44	44→55	47→50	38	.197/.250/.316	.119	.289	12	11	35%	6%	53	-1.5	.221/.294/.396	.175	.305	19	12	32%	9%	93	+1.3	.223/.323/.415	.191	.292	21	16	29%	11%	106	+1.0
✕Huascar Fuentes 2017 · A	25	42	42→50	49→45	40	.205/.274/.313	.109	.276	8	7	28%	5%	63	-0.8	.200/.257/.281	.081	.286	4	6	30%	5%	47	-1.9	.174/.223/.233	.060	.252	0	2	29%	3%	17	-1.0
✕Tyler Marincov 2017 · AA	25	41	45→50	45→50	40	.208/.261/.328	.120	.284	12	10	31%	6%	61	-1.0	.197/.253/.332	.135	.293	16	10	37%	6%	59	-1.1	.174/.234/.313	.139	.268	18	10	41%	7%	45	-1.2
✕Jerad Head 2008 · A	25	41→45	45→55	50	41	.206/.271/.331	.125	.260	12	9	25%	5%	67	-0.5	.221/.279/.362	.141	.277	14	10	25%	5%	78	+0.2	.229/.280/.395	.166	.277	20	7	25%	4%	85	+0.4
✕Michael Helman 2022 · A	26	38→41	48→55	51→55	45	.201/.257/.342	.141	.241	16	13	25%	7%	63	-0.8	.220/.280/.374	.154	.267	19	24	25%	7%	82	+0.5	.219/.280/.373	.154	.264	20	28	25%	7%	78	+0.1

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)