Miguel Vargas — OGILVIE

Miguel Vargas3B Chicago White Sox

Age 26 R/R 6'2" / 225 lbs MLB BB +6%HR -6% Svc 4.000 · Ctrl thru 2027 peak 1.9 · 2026

wRC+†vL 93104vR 88

AVG/OBP/SLG.216 / .307 / .385

PA568

HR17

SB15

K%19

BB%10

xwOBA.363

Barrel%11.8%

MLB%100%

Scouting · now → future

HIT

45→45

PWR

50→50

SPD

50→50

EYE

60→60

trajectory · 10 yrs

2.1peak

2027

Contract

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

Status Arb-2

MLB Debut 2022

Service 4.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-2	$4M	+1.9	$15M	+$11M
2027	Arb-3	$9M	+1.7	$14M	+$5M
Totals		$13M		$29M	+$16M

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	18	ROK	2 teams	229	207	54	11	2	1	16	47	3	7	1	.261	.323	.348	.671	.087	.329	21	7	.295	84	-4	+1	+0	+1	+6	0.4
2019	19	A	2 teams	559	509	128	31	2	6	37	107	6	13	4	.251	.310	.356	.665	.104	.303	19	7	.293	83	-11	+1	+0	+2	+16	0.8
2021	21	AA	2 teams	542	498	131	21	2	22	30	120	7	11	1	.263	.314	.446	.760	.183	.300	22	6	.324	106	+4	+2	+0	+2	+15	2.3
2022	22	AAA	2 teams	570	510	119	27	3	15	48	110	6	17	5	.233	.307	.386	.693	.153	.266	19	8	.304	91	-6	+1	-1	-6	+16	0.4
2023	23	MLB	2 teams	589	506	104	27	4	14	71	134	6	11	2	.206	.310	.358	.668	.152	.248	23	12	.300	88	-8	+1	-5	+2	+17	0.8
2024	24	MLB	2 teams	428	363	68	19	1	12	51	100	7	11	7	.187	.299	.344	.644	.157	.217	23	12	.290	80	-10	-1	-4	+2	+12	-0.0
2025	25	MLB	Chicago White Sox	569	504	119	34	2	17	56	100	6	6	0	.236	.320	.413	.732	.177	.262	18	10	.319	103	+2	+1	-6	+2	+16	1.6
▸ 2026 Season (actual · ROS · total)
2026	26	MLB	Chicago White Sox	107	87	17	3	1	5	17	16	2	5	0	.195	.340	.425	.765	.230	.179	15	16	.337	116	+2	+1	-1	+0	+3	0.6
ROS	26	MLB	CWS	461	399	85	21	3	15	53	85	6	10	1	.213	.314	.393	.708	.180	.232	18	11	.317	101	+1	+2	-4	+2	+13	1.3
TOT	26	MLB	CWS	568	486	102	24	4	20	70	101	8	15	1	.210	.319	.399	.718	.189	.223	18	12	.321	104	+2	+3	-4	+2	+16	1.9
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	27	MLB	CWS	563	485	103	26	3	18	66	87	7	12	1	.212	.315	.390	.705	.177	.221	15	12	.318	101	+1	+2	-5	+2	+16	1.6
2028	28	MLB	CWS	555	478	101	25	3	18	65	86	7	11	1	.211	.315	.389	.704	.178	.220	15	12	.316	100	+0	+2	-5	+2	+16	1.5
2029	29	MLB	CWS	543	467	97	24	3	17	64	86	7	10	1	.208	.312	.381	.693	.173	.219	16	12	.314	99	-1	+2	-6	+2	+15	1.3
2030	30	MLB	CWS	531	456	95	23	3	17	63	86	7	8	0	.208	.314	.384	.697	.175	.218	16	12	.311	96	-2	+2	-6	+2	+15	1.0
2031	31	MLB	CWS	516	443	92	23	3	16	61	86	7	6	0	.208	.313	.381	.695	.174	.216	17	12	.307	93	-4	+1	-7	+2	+15	0.7
2032	32	MLB	CWS	497	429	86	21	3	15	59	85	6	3	0	.200	.306	.368	.674	.168	.214	17	12	.303	90	-6	+1	-8	+2	+14	0.3
2033	33	MLB	CWS	467	403	79	20	2	13	55	83	6	1	0	.196	.302	.352	.654	.156	.212	18	12	.297	85	-8	+0	-8	+2	+13	-0.1
2034	34	MLB	CWS	420	363	69	17	2	11	49	78	5	0	0	.190	.295	.339	.634	.149	.210	19	12	.290	80	-9	+0	-8	+1	+12	-0.4
2035	35	MLB	CWS	366	317	58	14	2	9	42	72	4	0	0	.183	.287	.325	.611	.142	.207	20	11	.282	74	-11	+0	-9	+1	+10	-0.8
▸ Career Totals (MLE all levels + projections)
Career	—			8405	7337	1588	384	43	236	886	1552	103	137	24	.216	.310	.377	.687	.161	.241	18	11	.306	92	-72	+18	-81	+22	+238	12.7
/ 162G	—			650	567	123	30	3	18	69	120	8	11	2	.217	.311	.376	.686	.159	.242	18	11	.306	92	-6	+1	-6	+2	+18	1.0

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	18	A	Great Lakes Loons	89	75	16	1	1	0	10	20	1	0	0	.213	.314	.253	.567	.040	.281	22	11	.262	58	-4	+0	—	—	+3	-0.2
2018	18	ROK	Ogden Raptors	140	125	50	14	2	2	13	16	2	7	1	.400	.464	.592	1.056	.192	.449	11	9	.463	213	+18	+1	—	—	+4	2.3
2019	19	A+	Rancho Cucamonga Quakes	236	211	60	18	1	2	20	40	3	4	3	.284	.355	.408	.762	.123	.341	17	8	.340	119	+5	-0	—	—	+7	1.2
2019	19	A	Great Lakes Loons	323	280	91	20	2	5	35	43	3	9	1	.325	.406	.464	.870	.139	.363	13	11	.383	152	+19	+1	—	—	+9	3.0
2021	21	AA	Tulsa Drillers	370	327	105	16	1	16	36	57	2	7	1	.321	.392	.523	.915	.202	.344	15	10	.398	163	+26	+1	—	—	+10	3.8
2021	21	A+	Great Lakes Loons	172	156	49	11	1	7	9	32	5	4	0	.314	.371	.532	.903	.218	.353	19	5	.392	158	+11	+1	—	—	+5	1.7
2022	22	MLB	Los Angeles Dodgers	50	47	8	1	0	1	2	13	0	1	0	.170	.204	.255	.459	.085	.206	26	4	.204	14	-5	+0	-1	-6	+1	-1.1
2022	22	AAA	Oklahoma City Dodgers	520	438	133	32	4	17	71	76	6	16	5	.304	.408	.511	.919	.208	.331	15	14	.402	166	+39	+1	—	—	+15	5.6
2023	23	MLB	Los Angeles Dodgers	304	256	50	15	4	7	38	61	4	3	2	.195	.308	.367	.675	.172	.224	20	12	.301	88	-4	-0	-5	+2	+9	0.2
2023	23	AAA	Oklahoma City Dodgers	285	236	68	15	0	10	46	57	2	8	0	.288	.408	.479	.887	.191	.341	20	16	.395	160	+19	+2	—	—	+8	3.0
2024	24	MLB	Chicago White Sox	237	206	31	7	0	5	25	57	3	3	1	.150	.252	.257	.509	.107	.177	24	11	.237	40	-16	+0	-4	+2	+7	-1.2
2024	24	AAA	Oklahoma City Baseball Club	191	145	42	14	1	8	38	33	4	8	6	.290	.449	.566	1.015	.276	.315	17	20	.434	190	+19	-1	—	—	+5	2.5
2025	25	MLB	Chicago White Sox	569	504	118	32	2	16	56	100	6	6	0	.234	.318	.401	.719	.167	.261	18	10	.321	104	+2	+1	-6	+2	+16	1.6
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1160	1013	207	55	6	29	121	231	13	13	3	.204	.297	.356	.653	.152	.233	20	10	.294	83	-23	+1	-15	-0	+33	-0.4

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
Miguel Vargas (OGILVIE)	26	45	50	50	60	.212/.314/.390	.179	.221	19	12	15%	12%	101	+1.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Tim Olson 2005 · MLB	26	45	48→50	50	59	.227/.317/.373	.146	.255	14	9	18%	12%	97	+1.5	.230/.283/.372	.142	.289	15	11	25%	6%	82	+0.5	.226/.271/.363	.137	.289	15	12	27%	5%	72	-0.1
✕Alex Call 2023 · MLB	28	47→48	51→50	49→50	53	.239/.324/.402	.163	.270	19	14	20%	10%	108	+2.3	.227/.322/.365	.138	.265	15	15	19%	11%	97	+1.5	.223/.324/.347	.125	.262	12	14	19%	12%	92	+0.8
●Ha-Seong Kim 2022 · MLB	26	42→52	49→50	52→60	47	.218/.287/.369	.151	.262	17	12	24%	8%	83	+0.6	.243/.322/.379	.136	.286	14	20	19%	10%	100	+1.7	.245/.333/.377	.132	.285	13	26	18%	11%	100	+1.6
✕Josh VanMeter 2021 · MLB	26	45→49	52→55	50	48	.232/.299/.408	.176	.276	19	14	24%	8%	98	+1.6	.219/.308/.379	.160	.279	18	9	26%	11%	95	+1.4	.202/.307/.353	.150	.259	16	7	27%	13%	84	+0.3
✕Orlando Arcia 2022 · MLB	27	45→55	51→50	45→55	50	.234/.291/.387	.153	.255	20	9	18%	7%	89	+1.0	.239/.299/.394	.155	.272	20	4	20%	8%	94	+1.3	.234/.295/.378	.145	.270	18	1	21%	7%	85	+0.6
●Chris Young 2010 · MLB	26	45→49	55→60	52→55	51	.236/.310/.434	.199	.281	21	16	24%	9%	109	+2.4	.238/.324/.417	.179	.286	19	18	23%	11%	111	+2.5	.235/.325/.411	.176	.276	19	21	22%	11%	106	+2.0
✕Chris Woodward 2002 · MLB	26	42→48	50	48→45	46	.217/.272/.381	.164	.255	17	8	23%	7%	79	+0.3	.251/.308/.411	.160	.296	16	5	20%	7%	102	+1.9	.254/.312/.401	.147	.302	13	3	20%	7%	99	+0.9
✕Tony Alvarez 2005 · MLB	26	48	50→40	50	52	.243/.318/.399	.156	.274	17	10	18%	9%	104	+2.0	.236/.293/.356	.120	.282	13	13	21%	6%	82	+0.5	.239/.288/.332	.092	.298	10	17	22%	4%	70	-0.2
✕Jake Smolinski 2016 · MLB	27	46→49	49→55	47→45	48	.234/.299/.388	.154	.272	17	8	21%	7%	92	+1.2	.230/.291/.374	.144	.264	16	8	20%	6%	86	+0.8	.220/.285/.368	.148	.257	17	10	21%	6%	79	+0.2
●Jose Leon 2003 · MLB	26	48	50→55	50→30	45	.245/.297/.396	.151	.286	19	10	22%	6%	94	+1.3	.232/.281/.358	.126	.299	15	6	27%	6%	77	+0.1	.276/.328/.469	.192	.315	27	2	21%	6%	122	+1.2
✕Travis Denker 2012 · AAA	26	46→52	49→50	48→45	47	.232/.293/.379	.146	.273	16	7	22%	7%	88	+0.9	.220/.280/.356	.136	.274	15	9	25%	7%	76	+0.1	.233/.308/.392	.159	.261	18	0	18%	8%	97	+0.8
✕Luis Urías 2023 · MLB	26	47→57	51→55	43→45	54	.240/.331/.401	.161	.281	19	5	21%	10%	110	+2.4	.220/.316/.357	.137	.263	16	6	22%	10%	93	+1.3	.206/.306/.322	.116	.244	14	5	21%	10%	77	+0.1
●Jerry Hairston Jr. 2001 · MLB	25	50→55	47→50	47→55	57	.249/.336/.383	.134	.262	16	17	12%	10%	108	+2.3	.243/.315/.356	.113	.266	9	25	12%	8%	91	+1.1	.263/.322/.403	.140	.282	14	15	12%	7%	102	+1.4
✕Andy LaRoche 2009 · MLB	25	48→55	49→55	45	57	.241/.325/.385	.144	.263	17	7	16%	10%	103	+1.9	.235/.309/.358	.123	.264	12	5	15%	9%	89	+0.9	.236/.306/.351	.114	.266	10	3	15%	8%	82	+0.3
●Jonathan India 2023 · MLB	26	50→51	49→50	46→50	52	.249/.342/.401	.152	.302	16	9	22%	9%	115	+2.7	.241/.337/.381	.140	.289	15	11	21%	10%	108	+2.3	.234/.336/.364	.130	.280	13	9	20%	11%	99	+1.6
✕Maikel Franco 2020 · MLB	27	45→55	53→55	47→40	51	.235/.291/.400	.165	.243	21	2	15%	7%	92	+1.2	.232/.282/.380	.148	.253	18	3	16%	6%	83	+0.6	.225/.266/.352	.128	.252	15	1	18%	5%	67	-0.3
✕Alan Espinoza 2017 · AAA	26	43	52→55	50→45	42	.227/.274/.392	.165	.260	20	7	22%	5%	84	+0.6	.246/.286/.399	.153	.283	18	6	20%	4%	90	+1.0	.266/.302/.415	.149	.301	19	2	19%	4%	99	+0.9
✕Augie Ojeda 2001 · MLB	26	47	49→40	46→45	57	.237/.315/.389	.151	.252	16	8	14%	10%	99	+1.7	.214/.283/.317	.103	.235	9	7	13%	8%	68	-0.5	.249/.339/.324	.075	.277	1	4	10%	10%	86	+0.3
●Joe Mather 2008 · AAA	26	42→45	53→60	53→50	43	.223/.279/.398	.175	.256	21	8	23%	5%	88	+0.9	.223/.286/.398	.175	.254	21	10	22%	7%	90	+1.0	.211/.275/.368	.157	.246	18	11	22%	7%	75	-0.0
●Hiram Bocachica 2003 · MLB	27	45	52→55	46→55	45	.234/.286/.400	.167	.274	19	12	23%	7%	90	+1.0	.228/.288/.386	.158	.280	19	13	25%	7%	88	+0.9	.242/.328/.417	.175	.271	21	22	19%	9%	110	+1.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)