Yeremi Villahermosa

Yeremi VillahermosaC ACL Angels

Age 23 S/R 5'9" / 150 lbs ROK HR -5% Svc 0.0 · Ctrl thru 2037 peak 1.2 · 2030

wRC+†62

AVG/OBP/SLG.206 / .271 / .312

PA61

HR1

K%30

BB%7

MLB%0%

trajectory · 10 yrs

1.1peak

2030

Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Ext / FA-deal	$0.9M	+1.0	$10M	+$9M
2033	Ext / FA-deal	$1.0M	+0.8	$4M	+$3M
2034	Ext / FA-deal	$1.0M	+0.5	$3M	+$2M
2035	Ext / FA-deal	$0.4M	+0.2	$1M	+$0.6M
2036	Ext / FA-deal	$0.4M	—	—	—
2037	Ext / FA-deal	$0.6M	—	—	—
Totals		$4M		$15M	+$11M

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 Angels	82	65	8	0	1	0	11	17	4	11	2	.123	.287	.154	.441	.031	.167	21	13	.216	24	-7	+1	+0	+1	+2	-0.2
2022	19	ROK	ACL Angels	91	81	14	1	0	0	5	35	1	2	1	.173	.230	.185	.415	.012	.280	38	5	.189	3	-10	+0	+0	+2	+3	-0.6
2023	20	A	Inland Empire 66ers	47	42	6	0	0	0	5	17	0	0	2	.143	.234	.143	.377	.000	.240	36	11	.181	-3	-5	-1	+0	+1	+1	-0.4
2024	21	A	Inland Empire 66ers	62	51	11	0	0	0	6	22	2	2	1	.216	.322	.216	.538	.000	.344	35	10	.257	55	-3	+0	+0	+1	+2	-0.0
2025	22	ROK	ACL Angels	35	29	2	0	0	0	3	15	1	1	1	.069	.182	.069	.251	.000	.133	43	9	.143	-32	-5	-0	+0	+1	+1	-0.4
▸ 2026 Season
2026	23	MLB	LAA	61	56	11	2	0	1	4	19	1	1	0	.196	.262	.286	.548	.089	.289	31	7	.266	62	-3	+0	+0	+1	+2	0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 10%	LAA	155	140	30	5	1	3	12	45	2	3	1	.214	.286	.329	.614	.114	.291	29	8	.280	73	-5	+0	+0	+3	+4	0.3
2028	25	MLB 25%	LAA	258	233	52	9	2	6	20	74	3	4	1	.223	.293	.356	.649	.133	.292	29	8	.290	80	-6	+0	+0	+5	+7	0.7
2029	26	MLB 42%	LAA	330	297	67	12	2	9	27	93	3	5	1	.226	.297	.370	.667	.145	.293	28	8	.295	84	-6	+1	+0	+6	+9	1.0
2030	27	MLB 58%	LAA	368	331	74	13	2	10	30	104	4	6	1	.224	.296	.366	.661	.142	.293	28	8	.296	84	-6	+1	+0	+7	+10	1.2
2031	28	MLB 68%	LAA	391	351	78	14	2	10	33	111	4	6	1	.222	.296	.359	.655	.137	.293	28	8	.295	84	-7	+1	-1	+7	+11	1.1
2032	29	MLB 77%	LAA	397	357	79	14	2	10	33	114	4	5	1	.221	.294	.356	.650	.134	.292	29	8	.292	82	-8	+1	-1	+7	+11	1.0
2033	30	MLB 84%	LAA	400	359	79	14	2	10	34	116	4	4	0	.220	.295	.354	.648	.134	.291	29	8	.289	80	-9	+1	-2	+7	+11	0.8
2034	31	MLB 91%	LAA	380	341	74	13	2	9	32	112	4	2	0	.217	.292	.346	.638	.129	.289	29	8	.285	77	-10	+0	-3	+7	+11	0.5
2035	32	MLB	LAA	354	318	68	12	2	8	30	106	3	1	0	.214	.288	.340	.627	.126	.288	30	8	.281	73	-11	+0	-4	+6	+10	0.2
2036	33	MLB	LAA	318	286	60	10	2	7	26	98	3	0	0	.210	.283	.332	.615	.122	.286	31	8	.275	69	-11	+0	-4	+6	+9	-0.1
2037	34	MLB	LAA	271	245	48	8	1	5	22	86	2	0	0	.196	.268	.298	.566	.102	.284	32	8	.269	64	-11	+0	-5	+5	+8	-0.3
▸ Career Totals (MLE all levels + projections)
Career	—			4000	3582	761	127	21	88	333	1184	45	53	13	.212	.288	.333	.621	.121	.288	30	8	.280	72	-124	+5	-20	+71	+113	4.7
/ 162G	—			650	582	123	21	3	14	54	192	7	9	2	.211	.286	.330	.616	.119	.287	30	8	.280	72	-20	+1	-3	+12	+18	0.8

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	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 Angels	82	57	9	0	1	19	12	4	11	2	.158	.400	.193	.593	.035	.200	15	23	.305	92	-1	+1	—	—	+2	0.3
2022	19	ROK	ACL Angels	91	79	20	2	0	7	25	1	2	1	.253	.322	.278	.600	.025	.345	27	8	.269	64	-4	+0	—	—	+3	-0.1
2023	20	A	Inland Empire 66ers	47	40	7	0	0	7	13	0	0	2	.175	.298	.175	.473	.000	.259	28	15	.239	41	-3	-1	—	—	+1	-0.3
2024	21	A	Inland Empire 66ers	62	48	12	0	0	9	16	2	2	1	.250	.390	.250	.640	.000	.343	26	15	.300	88	-1	+0	—	—	+2	0.1
2025	22	ROK	ACL Angels	35	26	3	0	0	6	10	1	1	1	.115	.303	.115	.418	.000	.176	29	17	.218	25	-3	-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
Yeremi Villahermosa (OGILVIE)	23	—	—	—	—	.206/.271/.312	.106	.289	1	1	30%	7%	62	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jake Rogers 2018 · A	23	41→40	44→55	47→45	42	.205/.269/.327	.122	.280	11	10	30%	7%	65	-0.7	.196/.267/.342	.146	.271	17	7	33%	8%	69	-0.4	.206/.283/.412	.206	.265	29	1	33%	8%	91	+0.6
✕Patrick Bailey 2022 · A	23	44→49	45	50→45	43	.213/.278/.336	.122	.306	12	8	33%	8%	70	-0.3	.213/.279/.336	.123	.289	13	5	29%	8%	71	-0.3	.229/.288/.338	.110	.303	11	4	27%	7%	75	-0.0
✕John Hester 2007 · A	23	42	43→55	50	41	.206/.271/.327	.122	.299	10	7	33%	7%	65	-0.7	.224/.267/.365	.141	.298	14	7	29%	5%	72	-0.2	.249/.292/.416	.167	.322	15	10	27%	5%	94	+0.7
✕Trent Woodward 2015 · A	23	43	41→45	47→30	47	.209/.286/.311	.102	.282	7	6	27%	8%	68	-0.5	.220/.287/.309	.089	.311	7	4	29%	8%	67	-0.5	.218/.288/.304	.087	.309	9	1	30%	8%	63	-0.3
✕Jeferson Morales 2023 · A	24	39→46	46→45	49→50	44	.197/.277/.329	.131	.260	14	9	29%	7%	69	-0.4	.215/.289/.346	.131	.275	13	9	25%	7%	78	+0.2	.223/.298/.355	.132	.277	12	8	23%	7%	81	+0.2
✕Miguel Amaya 2022 · AA	23	42	44→50	49→40	49	.210/.296/.330	.120	.268	12	7	25%	9%	78	+0.2	.225/.309/.364	.139	.303	15	5	29%	8%	92	+1.2	.233/.304/.378	.146	.278	16	1	22%	7%	91	+0.5
✕Andrew Susac 2013 · A	23	42→39	43→50	46→30	45	.207/.280/.320	.113	.292	11	4	31%	8%	67	-0.5	.217/.291/.360	.143	.291	16	3	29%	9%	82	+0.5	.217/.295/.373	.156	.282	19	1	29%	9%	85	+0.3
✕Marcus Littlewood 2015 · A	23	42	42→45	49→45	48	.205/.274/.312	.107	.264	9	5	25%	8%	62	-0.9	.209/.270/.325	.116	.274	11	5	26%	8%	63	-0.8	.205/.258/.318	.113	.268	12	3	28%	7%	54	-0.7
✕Christopher Familia 2023 · A	23	40	45→55	47→45	45	.204/.281/.326	.122	.262	13	8	27%	7%	70	-0.3	.219/.278/.391	.172	.284	22	4	30%	6%	85	+0.7	.215/.266/.411	.196	.270	28	0	32%	5%	81	+0.2
✕Alex Isola 2021 · A	23	46→43	45→50	49→40	44	.228/.280/.350	.122	.284	12	8	24%	6%	74	-0.1	.216/.283/.365	.149	.274	20	4	28%	8%	81	+0.4	.212/.282/.359	.148	.263	20	2	27%	8%	76	+0.0
✕Sicnarf Loopstok 2017 · A	24	43→37	43→50	50	38	.211/.270/.324	.114	.293	10	12	30%	5%	64	-0.8	.213/.281/.365	.152	.300	18	9	34%	7%	80	+0.4	.204/.280/.377	.174	.281	22	7	34%	7%	84	+0.4
✕Jhoneiker Betancourt 2023 · A	23	43	40→50	50→40	43	.207/.281/.298	.092	.283	7	6	28%	7%	63	-0.9	.204/.276/.336	.132	.276	16	3	31%	7%	70	-0.3	.179/.260/.330	.151	.234	22	0	33%	7%	67	-0.2
✕Bryan Holaday 2011 · A	23	43	42→45	47→40	42	.204/.284/.305	.101	.299	9	6	33%	8%	66	-0.6	.210/.264/.299	.089	.275	7	6	25%	6%	54	-1.4	.217/.286/.341	.124	.252	13	2	19%	7%	71	-0.1
✕Jose Lobatón 2008 · A	23	43	45	43→30	46	.215/.286/.337	.123	.293	12	3	30%	8%	74	-0.1	.217/.277/.339	.122	.291	13	3	28%	7%	70	-0.3	.241/.325/.370	.129	.305	12	0	23%	11%	94	+0.6
✕Blaze Alexander 2021 · A	22	45→48	42→50	51→50	43	.218/.284/.328	.110	.300	9	11	29%	7%	71	-0.3	.204/.275/.332	.128	.317	14	12	38%	7%	69	-0.4	.220/.308/.345	.126	.328	13	10	34%	8%	84	+0.4
✕Pedro Pagés 2022 · A	23	44→43	43→50	43→40	42	.213/.279/.319	.107	.302	11	5	32%	7%	66	-0.6	.210/.275/.334	.124	.293	14	4	31%	8%	69	-0.4	.224/.283/.362	.138	.282	18	2	26%	7%	78	+0.1
✕Karexon Sanchez 2011 · A	23	43→47	43→45	47→50	43	.210/.280/.323	.114	.294	10	10	31%	7%	68	-0.5	.218/.288/.327	.109	.307	11	13	30%	7%	72	-0.2	.218/.287/.325	.107	.297	12	15	29%	7%	68	-0.2
✕Thomas Dillard 2021 · A	23	45→38	45	52→50	53	.218/.310/.338	.119	.300	13	10	29%	11%	85	+0.7	.196/.284/.325	.129	.329	14	9	41%	10%	71	-0.3	.180/.273/.308	.128	.304	14	9	42%	10%	60	-0.8
✕Taylor Grzelakowski 2018 · A	24	43	40→45	50→30	42	.211/.263/.307	.096	.286	8	8	28%	6%	56	-1.3	.215/.275/.312	.097	.328	7	3	34%	7%	62	-0.9	.204/.270/.296	.092	.311	6	1	34%	8%	54	-0.8
✕Luis Lara 2018 · A	23	46	44→45	52→45	48	.226/.285/.348	.122	.272	10	6	21%	7%	76	+0.0	.201/.267/.278	.077	.279	5	5	27%	8%	50	-1.7	.159/.237/.177	.019	.231	0	2	28%	9%	9	-1.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)