Lourdes Gurriel Jr.

Lourdes Gurriel Jr.LF Arizona Diamondbacks

Age 32 R/R 6'3" / 215 lbs MLB HR -5% Svc 7.547 · Ctrl thru 2026 peak 1.4 · 2026

wRC+†vL 132111vR 83

AVG/OBP/SLG.270 / .320 / .443

PA525

HR19

SB7

K%16

BB%6

MLB%100%

Scouting · now → future

HIT

55→55

PWR

45→45

SPD

50→50

EYE

41↘40

trajectory · 10 yrs

1.8peak

2026

Contract

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

Status FA

MLB Debut 2018

Service 7.547 yrs.days

Team Control Through 2026

First FA Year 2027

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$14M	+1.4	$11M	-$3M
Totals		$14M		$11M	-$3M

Options · projected decision
2027	CLUB OPT	$2027.0M / $0.0M buyout	DECLINE
2028	CLUB OPT	$14.0M / $5.0M buyout	DECLINE

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
2017	23	AA	3 teams	335	317	62	12	0	5	11	74	3	5	2	.196	.230	.281	.510	.085	.236	22	3	.222	28	-27	+0	+0	-4	+9	-2.2
2018	24	MLB	3 teams	484	457	127	17	1	16	14	110	6	5	5	.278	.308	.425	.733	.147	.329	23	3	.316	100	-0	-1	-3	+5	+14	1.5
2019	25	MLB	2 teams	473	438	115	30	2	22	22	115	8	6	6	.263	.310	.491	.801	.228	.305	24	5	.344	122	+12	-1	-3	-5	+13	1.6
2020	26	MLB	Toronto Blue Jays	224	208	63	15	0	11	14	48	0	3	1	.303	.347	.534	.881	.231	.344	21	6	.377	147	+12	+0	-1	-2	+6	1.5
2021	27	MLB	Toronto Blue Jays	541	500	139	27	1	21	32	102	2	1	3	.278	.324	.462	.786	.184	.308	19	6	.336	115	+9	-1	-4	-6	+15	1.5
2022	28	MLB	Toronto Blue Jays	493	454	137	34	1	5	31	83	6	3	4	.302	.354	.414	.768	.112	.359	17	6	.338	117	+9	-1	-4	-5	+14	1.3
2023	29	MLB	Arizona Diamondbacks	592	551	141	33	2	23	33	103	6	5	0	.256	.305	.448	.753	.192	.276	17	6	.326	108	+5	+1	+1	-6	+17	1.8
2024	30	MLB	Arizona Diamondbacks	553	513	139	20	2	18	29	101	6	7	1	.271	.318	.423	.741	.152	.303	18	5	.320	103	+2	+1	-0	-6	+16	1.2
2025	31	MLB	Arizona Diamondbacks	546	500	124	24	1	20	31	76	6	10	4	.248	.300	.420	.720	.172	.252	14	6	.310	96	-3	+0	-4	-6	+15	0.3
▸ 2026 Season (actual · ROS · total)
2026	32	MLB	Arizona Diamondbacks	17	16	1	0	0	0	1	1	0	0	0	.062	.118	.062	.180	.000	.067	6	6	.093	-70	-3	+0	-1	-0	+0	-0.4
ROS	32	MLB	ARI	508	468	128	24	2	18	30	82	5	7	2	.274	.324	.449	.773	.175	.293	16	6	.339	117	+10	+1	-2	-5	+14	1.7
TOT	32	MLB	ARI	525	484	129	24	2	18	31	83	5	7	2	.267	.317	.436	.753	.169	.288	16	6	.331	111	+7	+1	-3	-6	+15	1.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	33	MLB	ARI	495	458	123	23	2	17	29	83	5	5	1	.269	.319	.439	.758	.170	.292	17	6	.333	113	+7	+1	-7	-5	+14	1.0
2028	34	MLB	ARI	448	414	108	20	1	15	26	79	5	4	1	.261	.312	.423	.735	.162	.290	18	6	.325	107	+4	+0	-7	-5	+13	0.5
2029	35	MLB	ARI	393	364	93	17	1	12	22	73	4	2	0	.255	.305	.407	.712	.151	.288	19	6	.317	101	+0	+0	-8	-4	+11	0.0
2030	36	MLB	ARI	333	309	77	14	1	10	18	66	3	2	0	.249	.297	.398	.695	.149	.285	20	5	.307	93	-3	+0	-8	-4	+9	-0.4
2031	37	MLB	ARI	269	250	61	11	1	7	14	56	3	1	0	.244	.292	.380	.672	.136	.281	21	5	.296	85	-5	+0	-8	-3	+8	-0.8
▸ Career Totals (MLE all levels + projections)
Career	—			6687	6201	1637	321	18	220	356	1251	68	66	30	.264	.311	.428	.739	.164	.296	19	5	.322	104	+33	+1	-58	-61	+189	10.6
/ 162G	—			650	603	159	31	2	21	35	122	7	6	3	.264	.312	.426	.738	.163	.297	19	5	.322	104	+3	+0	-6	-6	+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
2017	23	AA	New Hampshire Fisher Cats	185	170	41	10	0	4	10	30	2	2	0	.241	.291	.371	.662	.129	.266	16	5	.292	82	-4	+0	—	—	+5	0.2
2017	23	A+	Dunedin Blue Jays	69	66	13	1	0	1	2	13	0	1	0	.197	.221	.258	.478	.061	.226	19	3	.213	21	-6	+0	—	—	+2	-0.4
2017	23	INTL	Peoria Javelinas	81	79	23	7	0	3	1	11	1	2	2	.291	.309	.494	.802	.203	.308	14	1	.351	127	+2	-0	—	—	+2	0.4
2018	24	MLB	Toronto Blue Jays	263	249	70	8	0	11	9	59	2	1	2	.281	.312	.446	.757	.165	.326	22	3	.331	112	+3	-1	-3	+5	+7	1.3
2018	24	AAA	Buffalo Bisons	156	147	43	8	0	5	4	34	3	3	2	.293	.325	.449	.774	.156	.345	22	3	.339	117	+3	-0	—	—	+4	0.7
2018	24	AA	New Hampshire Fisher Cats	65	59	19	3	1	2	3	8	1	1	1	.322	.365	.508	.874	.186	.333	12	5	.373	143	+3	-0	—	—	+2	0.5
2019	25	MLB	Toronto Blue Jays	343	314	87	19	2	20	20	86	5	6	4	.277	.330	.541	.872	.264	.318	25	6	.375	145	+17	-0	-3	-5	+10	1.9
2019	25	AAA	Buffalo Bisons	130	123	34	13	0	4	3	23	3	0	2	.276	.310	.480	.790	.203	.309	18	2	.344	121	+3	-1	—	—	+4	0.6
2020	26	MLB	Toronto Blue Jays	224	208	64	14	0	11	14	48	0	3	1	.308	.351	.534	.885	.226	.351	21	6	.384	152	+13	+0	-1	-2	+6	1.7
2021	27	MLB	Toronto Blue Jays	541	500	138	28	2	21	32	102	2	1	3	.276	.322	.466	.788	.190	.305	19	6	.343	120	+12	-1	-4	-6	+15	1.8
2022	28	MLB	Toronto Blue Jays	493	453	132	32	1	5	31	83	6	3	4	.291	.344	.400	.744	.108	.346	17	6	.333	113	+7	-1	-4	-5	+14	1.1
2023	29	MLB	Arizona Diamondbacks	592	551	144	35	2	24	33	103	6	5	0	.261	.310	.463	.773	.201	.282	17	6	.339	118	+12	+1	+1	-6	+17	2.5
2024	30	MLB	Arizona Diamondbacks	553	513	143	22	2	18	29	101	6	7	1	.279	.325	.435	.760	.156	.313	18	5	.335	114	+9	+1	-0	-6	+16	2.0
2025	31	MLB	Arizona Diamondbacks	546	500	124	24	2	19	31	76	6	10	4	.248	.300	.418	.718	.170	.254	14	6	.313	98	-1	+0	-4	-6	+15	0.5
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			3555	3288	902	182	11	129	199	658	33	36	19	.274	.322	.454	.776	.180	.305	19	6	.340	118	+73	-0	-18	-31	+101	12.6

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
Lourdes Gurriel Jr. (OGILVIE)	32	55	45	50	40	.270/.320/.443	.174	.293	19	8	16%	6%	117	+2.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕J.C. Linares 2017 · AAA	32	49→54	51→55	49→40	48	.251/.320/.417	.167	.295	19	8	22%	8%	109	+2.4	.231/.293/.375	.144	.265	16	10	19%	7%	87	+0.8	.220/.292/.371	.151	.227	20	3	14%	9%	85	+0.2
✕Kevin Pillar 2021 · MLB	32	51→59	52→55	50→55	43	.258/.295/.429	.171	.281	19	13	16%	4%	102	+1.8	.245/.292/.430	.185	.274	23	10	20%	5%	102	+1.8	.231/.277/.423	.192	.256	26	8	22%	4%	92	+0.5
✕Kevin Young 2001 · MLB	32	49→50	53→55	47→50	47	.255/.311/.429	.174	.279	22	10	18%	6%	108	+2.3	.242/.314/.408	.166	.284	18	11	21%	8%	105	+2.1	.237/.316/.400	.163	.280	17	11	21%	9%	99	+1.4
✕Danny Bautista 2003 · MLB	31	57→59	50	50→45	50	.286/.335/.450	.164	.307	17	10	14%	7%	123	+3.3	.277/.328/.406	.129	.308	12	8	14%	7%	108	+2.3	.279/.330/.394	.115	.310	10	6	13%	6%	102	+1.4
✕Rangel Ravelo 2023 · MLB	31	53→55	56→50	48→45	53	.272/.345/.466	.194	.294	23	8	17%	9%	132	+4.0	.259/.345/.402	.143	.304	16	6	19%	10%	116	+2.8	.267/.368/.388	.121	.314	15	0	18%	12%	123	+1.4
●Scott Hairston 2012 · MLB	32	46→51	53→60	49→50	49	.239/.304/.416	.177	.268	22	11	20%	8%	102	+1.9	.241/.291/.458	.217	.270	28	10	23%	6%	108	+2.3	.240/.281/.487	.247	.256	34	10	22%	5%	111	+1.2
✕Alejandro Freire 2006 · MLB	31	51→53	51→55	48→30	47	.260/.317/.423	.163	.287	19	4	18%	6%	109	+2.4	.237/.293/.366	.129	.285	14	5	22%	6%	85	+0.7	.202/.261/.276	.073	.260	8	0	24%	5%	44	-0.7
✕Mike Kinkade 2005 · MLB	32	50→60	50	42→45	49	.252/.353/.411	.160	.293	17	8	20%	7%	123	+3.3	.261/.332/.400	.139	.301	13	8	17%	5%	110	+2.4	.273/.341/.408	.135	.316	12	7	17%	4%	114	+1.9
✕Jody Gerut 2010 · MLB	32	50→56	53→55	49→50	51	.258/.313/.431	.173	.272	20	12	15%	7%	109	+2.4	.245/.302/.401	.156	.268	17	8	15%	7%	97	+1.5	.246/.302/.397	.151	.270	14	0	14%	7%	92	+0.4
✕Jose Ruiz 2017 · AAA	32	53→61	53→55	45	47	.271/.318/.440	.169	.295	22	9	17%	6%	115	+2.7	.251/.290/.398	.147	.291	19	8	20%	5%	91	+1.1	.248/.282/.376	.128	.296	17	6	22%	4%	79	+0.2
✕Chad Huffman 2017 · AAA	32	48→50	51→50	49→45	48	.241/.317/.411	.171	.286	18	12	22%	8%	107	+2.2	.226/.304/.379	.153	.282	16	6	25%	8%	93	+1.3	.212/.295/.356	.144	.269	16	1	26%	8%	80	+0.2
✕Juan Encarnacion 2007 · MLB	31	53→58	51→55	43→50	48	.268/.321/.432	.164	.295	18	7	16%	6%	113	+2.6	.260/.310/.413	.153	.288	17	7	16%	6%	103	+1.9	.253/.301/.395	.142	.281	15	4	15%	6%	93	+0.8
✕Adam Jones 2019 · MLB	33	54→57	51→60	47→50	45	.276/.315/.432	.157	.302	20	5	17%	5%	111	+2.5	.265/.314/.418	.153	.302	18	5	18%	6%	107	+2.2	.261/.316/.416	.154	.300	19	2	19%	6%	103	+1.7
✕Oscar Salazar 2010 · MLB	32	55→56	52→55	43→45	47	.278/.317/.454	.177	.301	19	5	15%	6%	118	+3.0	.248/.298/.385	.137	.279	15	8	17%	7%	91	+1.1	.214/.271/.305	.091	.252	11	7	20%	7%	55	-0.3
✕Hector Luna 2012 · MLB	32	49	50→55	49→50	47	.251/.304/.406	.155	.284	18	8	19%	6%	99	+1.7	.241/.286/.380	.139	.280	16	8	20%	5%	85	+0.7	.245/.283/.378	.133	.283	15	3	19%	4%	80	+0.2
●Hunter Pence 2015 · MLB	32	53→63	54→60	52→50	50	.273/.331/.460	.187	.305	22	12	19%	8%	124	+3.4	.274/.332/.453	.179	.316	21	8	20%	8%	123	+3.3	.271/.332/.438	.167	.314	21	3	20%	8%	115	+1.9
✕Corey Hart 2014 · MLB	32	50→56	56→60	47→55	48	.260/.326/.456	.196	.304	24	7	23%	8%	122	+3.3	.223/.281/.375	.152	.275	18	6	25%	6%	82	+0.5	.197/.252/.330	.132	.243	17	3	26%	5%	53	-0.5
✕Jose Castillo 2014 · AAA	33	56→59	51→50	50	44	.285/.312/.441	.157	.295	20	12	12%	4%	112	+2.6	.262/.286/.378	.116	.289	13	9	14%	3%	84	+0.6	.259/.281/.341	.082	.291	8	7	14%	3%	70	-0.2
✕Alex Dickerson 2022 · MLB	32	49→54	56→55	48→45	48	.255/.326/.453	.198	.293	24	4	22%	8%	121	+3.2	.222/.282/.386	.164	.268	20	5	25%	7%	85	+0.7	.196/.249/.341	.145	.238	17	1	25%	6%	56	-0.8
●Emil Brown 2006 · MLB	31	55→58	50	54→50	51	.275/.340/.440	.165	.313	17	10	18%	8%	123	+3.3	.269/.333/.419	.150	.307	15	10	17%	8%	115	+2.7	.261/.323/.398	.137	.294	14	9	16%	8%	101	+1.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)