Vladimir Guerrero Jr.

Vladimir Guerrero Jr.1B Toronto Blue Jays

Age 27 R/R 6'0" / 245 lbs MLB HR +12%BB +4% Svc 7.000 · Ctrl thru 2026 peak 4.3 · 2026

wRC+†vL 171157vR 151

AVG/OBP/SLG.299 / .383 / .493

PA680

HR26

SB6

K%14

BB%11

xwOBA.386

Barrel%11.8%

MLB%100%

Scouting · now → future

HIT

60→60

PWR

60→60

SPD

45→45

EYE

60↘55

trajectory · 10 yrs

5.2peak

2027

Contract

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

Status FA

MLB Debut 2019

Service 7.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$42M	+4.3	$34M	-$8M
Totals		$42M		$34M	-$8M

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
2016	17	ROK	Bluefield Blue Jays	276	249	52	9	2	7	20	50	2	15	5	.209	.273	.345	.618	.137	.228	18	7	.267	63	-12	+1	+0	-5	+8	-0.8
2017	18	A	3 teams	625	550	156	29	2	13	60	100	8	10	4	.284	.362	.415	.777	.131	.322	16	10	.342	120	+14	+0	+0	-11	+18	2.2
2018	19	AA	3 teams	482	438	157	29	1	23	27	55	6	5	4	.358	.403	.587	.990	.228	.362	11	6	.426	184	+46	-1	+0	-9	+14	5.1
2019	20	MLB	3 teams	565	510	141	29	2	17	50	96	3	1	1	.276	.345	.441	.786	.165	.311	17	9	.344	121	+14	-0	-14	+2	+16	1.8
2020	21	MLB	2 teams	285	259	66	16	2	10	23	45	2	1	0	.255	.320	.448	.768	.193	.273	16	8	.341	119	+6	+0	-3	-5	+8	0.6
2021	22	MLB	Toronto Blue Jays	698	604	188	28	0	47	86	110	6	4	1	.311	.402	.591	.993	.280	.314	16	12	.424	183	+65	+0	-9	-12	+20	6.5
2022	23	MLB	Toronto Blue Jays	706	638	177	37	0	29	58	116	6	8	3	.277	.343	.472	.815	.194	.298	16	8	.350	126	+21	+0	-8	-13	+20	2.1
2023	24	MLB	Toronto Blue Jays	682	602	167	31	0	28	67	100	9	5	3	.277	.358	.468	.827	.191	.291	15	10	.353	129	+22	-0	-15	-12	+19	1.5
2024	25	MLB	Toronto Blue Jays	697	616	197	46	1	29	72	96	5	2	2	.320	.395	.539	.934	.219	.339	14	10	.391	157	+45	-0	-11	-12	+20	4.1
2025	26	MLB	Toronto Blue Jays	680	589	173	35	0	21	81	94	6	6	3	.294	.385	.460	.845	.166	.318	14	12	.360	133	+26	+0	-7	-12	+19	2.7
▸ 2026 Season (actual · ROS · total)
2026	27	MLB	Toronto Blue Jays	103	89	30	5	0	2	13	13	1	1	0	.337	.427	.461	.888	.124	.378	13	13	.376	146	+5	+0	-0	-2	+3	0.7
ROS	27	MLB	TOR	577	501	155	31	0	20	66	79	5	5	1	.309	.395	.491	.886	.182	.333	14	11	.393	159	+38	+1	-9	-10	+16	3.6
TOT	27	MLB	TOR	680	590	185	36	0	22	79	92	6	6	1	.314	.400	.486	.886	.173	.340	14	12	.390	157	+43	+1	-10	-12	+19	4.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	28	MLB	TOR	672	584	179	35	0	23	77	76	6	5	1	.307	.393	.485	.877	.178	.321	11	11	.391	158	+44	+1	-12	-12	+19	4.1
2028	29	MLB	TOR	660	573	176	35	0	23	76	76	6	3	0	.307	.394	.489	.883	.182	.320	12	12	.389	156	+42	+1	-12	-12	+19	3.8
2029	30	MLB	TOR	648	562	172	34	0	22	75	77	6	2	0	.306	.393	.484	.877	.178	.319	12	12	.386	154	+39	+0	-13	-12	+18	3.5
2030	31	MLB	TOR	633	549	165	32	0	21	73	78	6	0	0	.301	.389	.474	.862	.173	.318	12	12	.382	151	+36	+0	-13	-11	+18	3.0
2031	32	MLB	TOR	614	533	159	31	0	20	71	79	5	0	0	.298	.386	.469	.855	.171	.317	13	12	.378	147	+33	+0	-13	-11	+17	2.6
2032	33	MLB	TOR	584	507	149	29	0	18	67	79	5	0	0	.294	.382	.458	.839	.164	.315	14	11	.372	143	+28	+0	-14	-10	+17	2.1
2033	34	MLB	TOR	535	465	135	26	0	16	61	77	4	0	0	.290	.377	.449	.827	.159	.314	14	11	.365	138	+23	+0	-14	-10	+15	1.5
2034	35	MLB	TOR	478	417	117	22	0	13	54	73	4	0	0	.281	.368	.427	.795	.146	.312	15	11	.357	131	+17	+0	-13	-9	+14	0.9
2035	36	MLB	TOR	416	363	100	19	0	11	47	68	3	0	0	.275	.363	.419	.782	.143	.309	16	11	.347	124	+11	+0	-13	-7	+12	0.3
2036	37	MLB	TOR	351	306	82	15	0	8	39	61	3	0	0	.268	.356	.395	.752	.127	.306	17	11	.337	116	+6	+0	-13	-6	+10	-0.3
2037	38	MLB	TOR	280	246	63	11	0	6	30	51	2	0	0	.256	.342	.374	.716	.118	.301	18	11	.326	107	+2	+0	-12	-5	+8	-0.7
2038	39	MLB	TOR	205	180	45	8	0	4	22	38	1	0	0	.250	.335	.361	.696	.111	.296	19	11	.314	99	-0	+0	-12	-4	+6	-1.0
▸ Career Totals (MLE all levels + projections)
Career	—			12349	10841	3171	617	10	429	1302	1774	109	72	28	.293	.374	.470	.844	.177	.315	14	11	.369	141	+567	+3	-230	-208	+350	49.1
/ 162G	—			650	571	167	32	1	23	69	93	6	4	1	.292	.375	.473	.848	.180	.314	14	11	.369	141	+30	+0	-12	-11	+18	2.6

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
2016	17	ROK	Bluefield Blue Jays	276	236	64	12	3	8	33	35	2	15	5	.271	.365	.449	.814	.178	.283	13	12	.357	131	+10	+1	—	—	+8	1.9
2017	18	A+	Dunedin Blue Jays	209	168	56	7	1	6	36	28	2	2	2	.333	.456	.494	.950	.161	.365	13	17	.420	179	+19	-0	—	—	+6	2.5
2017	18	A	Lansing Lugnuts	318	269	85	21	1	7	40	34	5	6	2	.316	.414	.480	.894	.164	.336	11	13	.394	160	+22	+0	—	—	+9	3.2
2017	18	INTL	Leones del Escogido	98	90	19	2	2	0	7	13	1	2	0	.211	.276	.278	.553	.067	.247	13	7	.255	53	-5	+0	—	—	+3	-0.2
2018	19	AAA	Buffalo Bisons	128	110	37	7	0	6	15	10	1	0	0	.336	.421	.564	.984	.227	.323	8	12	.425	183	+12	+0	—	—	+4	1.6
2018	19	AA	New Hampshire Fisher Cats	266	234	94	19	1	14	21	27	4	3	3	.402	.459	.671	1.130	.269	.402	10	8	.478	224	+37	-1	—	—	+8	4.5
2018	19	INTL	Surprise Saguaros	88	77	27	7	0	0	8	6	1	2	1	.351	.419	.442	.860	.091	.370	7	9	.380	149	+5	+0	—	—	+2	0.7
2019	20	MLB	Toronto Blue Jays	514	464	126	26	2	15	46	91	2	0	1	.272	.340	.433	.773	.162	.308	18	9	.343	121	+12	-0	-14	+2	+15	1.4
2019	20	AAA	Buffalo Bisons	34	30	11	1	0	3	4	2	0	1	0	.367	.441	.700	1.141	.333	.320	6	12	.490	233	+5	+0	—	—	+1	0.6
2019	20	A+	Dunedin Blue Jays	17	15	4	1	0	0	1	2	1	0	0	.267	.353	.333	.686	.067	.308	12	6	.320	103	+0	+0	—	—	+0	0.1
2020	21	MLB	Toronto Blue Jays	243	221	58	13	2	9	20	38	2	1	0	.262	.329	.462	.791	.199	.282	16	8	.349	125	+7	+0	-3	-5	+7	0.6
2020	21	INTL	Leones del Escogido	42	39	14	4	0	2	2	6	0	0	0	.359	.390	.615	1.006	.256	.375	14	5	.427	185	+4	+0	—	—	+1	0.5
2021	22	MLB	Toronto Blue Jays	698	604	188	29	1	48	86	110	6	4	1	.311	.402	.601	1.003	.290	.312	16	12	.434	190	+71	+0	-9	-12	+20	7.1
2022	23	MLB	Toronto Blue Jays	706	638	175	35	0	32	58	116	6	8	3	.274	.340	.480	.820	.205	.289	16	8	.360	134	+27	+0	-8	-13	+20	2.7
2023	24	MLB	Toronto Blue Jays	682	602	159	30	0	26	67	100	9	5	3	.264	.347	.444	.790	.179	.277	15	10	.351	127	+20	-0	-15	-12	+19	1.3
2024	25	MLB	Toronto Blue Jays	697	616	199	44	1	30	72	96	5	2	2	.323	.398	.544	.942	.221	.342	14	10	.411	173	+57	-0	-11	-12	+20	5.4
2025	26	MLB	Toronto Blue Jays	680	589	172	34	0	23	81	94	6	6	3	.292	.383	.467	.850	.175	.313	14	12	.377	147	+36	+0	-7	-12	+19	3.7
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			4220	3734	1077	211	6	183	430	645	36	26	13	.288	.367	.495	.863	.207	.306	15	10	.379	148	+231	+0	-67	-65	+120	22.3

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
Vladimir Guerrero Jr. (OGILVIE)	27	60	60	45	55	.308/.393/.490	.182	.321	24	6	11%	11%	159	+6.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
★Mike Sweeney 2001 · MLB	28	61→65	55→60	46→45	59	.314/.392/.499	.186	.316	24	8	10%	10%	160	+5.9	.311/.388/.520	.209	.315	25	9	10%	11%	163	+6.1	.309/.393/.521	.212	.312	25	8	10%	12%	154	+5.0
●Billy Butler 2013 · MLB	27	60→65	53→55	43→30	55	.301/.368/.482	.181	.325	21	2	15%	9%	145	+4.9	.282/.352/.427	.145	.318	16	2	16%	9%	124	+3.4	.271/.343/.395	.125	.309	13	0	16%	9%	104	+2.1
★Paul Konerko 2003 · MLB	27	56→59	57→65	47→30	53	.291/.354/.491	.200	.297	26	2	13%	8%	143	+4.7	.270/.344/.481	.211	.272	29	2	14%	9%	136	+4.2	.288/.372/.534	.246	.296	36	1	16%	11%	154	+5.9
★Garrett Atkins 2007 · MLB	27	60→64	54→60	45→40	58	.304/.377/.492	.188	.319	20	3	12%	10%	151	+5.3	.289/.355/.465	.176	.311	20	3	14%	9%	135	+4.2	.275/.339/.434	.160	.298	19	1	15%	8%	118	+2.9
★Kris Bryant 2019 · MLB	27	56→58	60→65	42→50	57	.285/.386/.515	.230	.332	26	6	22%	12%	161	+6.0	.265/.362/.482	.217	.314	26	6	23%	11%	143	+4.7	.259/.354/.482	.223	.303	28	6	23%	11%	134	+3.1
★Anthony Rendon 2018 · MLB	28	55→59	53→65	45→50	59	.277/.366/.463	.186	.307	19	8	16%	12%	140	+4.5	.295/.382/.515	.220	.314	24	5	14%	11%	159	+5.8	.299/.392/.525	.225	.315	25	3	13%	12%	158	+4.7
★Ryan Zimmerman 2012 · MLB	27	57→61	55→65	47→45	56	.293/.366/.486	.194	.322	23	4	17%	10%	146	+4.9	.277/.344/.466	.189	.314	22	5	18%	9%	131	+3.9	.270/.339/.464	.194	.304	23	4	19%	9%	124	+2.9
★Jermaine Dye 2002 · MLB	28	57→62	57→70	48→45	55	.293/.361/.497	.205	.313	25	5	16%	9%	147	+5.0	.256/.330/.440	.184	.285	23	5	18%	9%	119	+3.1	.285/.349/.545	.260	.300	35	4	18%	8%	151	+5.3
★Carlos Lee 2003 · MLB	27	53→59	57→65	45→50	55	.273/.341/.473	.200	.282	25	10	14%	9%	132	+4.0	.281/.341/.492	.211	.289	27	11	13%	8%	137	+4.3	.299/.358/.534	.234	.289	31	11	9%	8%	147	+5.2
★Alex Bregman 2022 · MLB	28	52→57	57→65	48→50	65	.271/.376/.479	.208	.277	24	4	13%	13%	147	+5.0	.259/.353/.440	.181	.269	21	3	13%	12%	128	+3.7	.258/.349/.445	.187	.265	22	2	12%	11%	125	+3.9
●Bryan Reynolds 2022 · MLB	27	57→65	56→60	46→45	54	.286/.364/.486	.200	.335	22	6	21%	10%	144	+4.8	.271/.348/.470	.199	.317	24	8	22%	9%	134	+4.1	.266/.340/.458	.192	.313	24	9	22%	9%	122	+3.6
★Sean Casey 2001 · MLB	27	58→64	55→50	49→40	55	.296/.369/.490	.194	.321	21	4	15%	9%	148	+5.1	.292/.357/.438	.146	.314	14	4	12%	8%	129	+3.7	.306/.367/.452	.146	.314	15	3	8%	8%	132	+4.0
●Xander Bogaerts 2020 · MLB	27	55→63	56→60	50→55	55	.281/.355/.484	.203	.312	22	8	18%	10%	141	+4.5	.290/.363/.490	.200	.327	24	8	18%	10%	145	+4.9	.286/.360/.451	.165	.329	18	10	18%	9%	131	+4.1
●Edgardo Alfonzo 2002 · MLB	28	54→63	54→55	48→45	63	.277/.368/.463	.186	.284	21	5	12%	12%	141	+4.5	.279/.358/.428	.149	.288	16	6	10%	10%	128	+3.6	.281/.357/.413	.132	.288	14	4	8%	10%	117	+2.8
★Derrek Lee 2003 · MLB	27	54→64	57→65	47→50	56	.275/.362/.485	.211	.325	24	9	22%	11%	144	+4.8	.280/.372/.516	.236	.317	28	14	20%	12%	156	+5.6	.292/.384/.553	.261	.315	32	14	18%	12%	159	+6.5
★Nick Johnson 2006 · MLB	27	56→62	51→55	40→45	66	.276/.392/.454	.178	.312	17	7	17%	14%	147	+5.0	.278/.407/.485	.207	.313	20	8	16%	16%	161	+6.0	.280/.425/.456	.176	.319	16	5	15%	18%	150	+3.9
★Aubrey Huff 2005 · MLB	28	58→60	59→60	45	54	.301/.360/.514	.213	.302	27	4	12%	8%	150	+5.2	.274/.339/.459	.185	.286	22	5	13%	8%	128	+3.6	.271/.349/.470	.199	.285	23	3	14%	10%	127	+3.9
✕Benny Agbayani 2001 · MLB	29	55→57	54→55	42→45	61	.277/.374/.461	.184	.306	21	9	17%	12%	142	+4.6	.264/.349/.408	.144	.319	15	8	21%	11%	118	+3.0	.258/.341/.378	.119	.324	12	6	22%	10%	105	+0.9
●Yasiel Puig 2018 · MLB	27	51→61	57→60	47→55	53	.269/.339/.469	.200	.295	25	11	19%	9%	131	+3.9	.265/.330/.469	.204	.297	26	17	20%	8%	127	+3.6	.262/.325/.464	.202	.296	26	19	21%	8%	119	+2.7
●Troy Tulowitzki 2013 · MLB	28	55→59	57→65	48→50	56	.285/.355/.487	.202	.295	24	10	14%	9%	141	+4.6	.294/.372/.499	.205	.321	26	4	16%	10%	151	+5.3	.297/.376/.495	.198	.333	25	1	18%	10%	144	+3.8

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)