Luis Torrens — OGILVIE

Luis TorrensC New York Mets

Age 30 R/R 5'11" / 217 lbs MLB H +5%HR +3% Svc 9.000 · Ctrl thru 2026 peak 1.8 · 2026

wRC+†vL 8092vR 69

AVG/OBP/SLG.245 / .305 / .390

PA275

HR7

K%21

BB%7

MLB%100%

Scouting · now → future

HIT

60→60

PWR

50→50

SPD

45→45

EYE

44↗50

trajectory · 10 yrs

1.1peak

2026

Contract

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

Status FA

MLB Debut 2017

Service 9.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$12M	+1.8	$14M	+$3M
Totals		$12M		$14M	+$3M

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
2013	17	ROK	GCL Yankees2	204	185	33	5	0	1	16	58	2	2	0	.178	.251	.222	.473	.043	.252	28	8	.215	23	-18	+0	+0	+4	+6	-0.8
2014	18	A	2 teams	52	45	7	1	0	1	3	12	4	0	0	.156	.269	.244	.514	.089	.188	23	6	.232	36	-4	+0	+0	+1	+1	-0.1
2016	20	A	Charleston RiverDogs	164	148	28	4	0	2	13	34	3	1	1	.189	.268	.257	.525	.068	.232	21	8	.243	44	-10	-0	+0	+3	+5	-0.3
2017	21	INTL	2 teams	295	263	41	6	2	0	25	64	4	0	0	.156	.240	.194	.434	.038	.206	22	8	.184	-1	-34	+0	-3	+5	+8	-2.3
2018	22	A+	2 teams	604	568	136	33	4	8	20	126	7	2	1	.239	.274	.354	.628	.114	.289	21	3	.268	63	-25	+0	+0	+11	+17	0.3
2019	23	AA	2 teams	413	379	86	17	1	9	29	99	1	1	2	.227	.284	.348	.632	.121	.280	24	7	.280	73	-13	-1	+0	+7	+12	0.6
2020	24	MLB	Seattle Mariners	78	70	18	5	0	1	7	15	0	0	0	.257	.325	.371	.696	.114	.315	19	9	.309	95	-0	+0	-4	+1	+2	-0.1
2021	25	MLB	2 teams	463	422	99	20	2	20	35	128	2	0	0	.235	.296	.434	.730	.199	.284	28	8	.314	98	-1	+0	-5	+8	+13	1.6
2022	26	MLB	3 teams	325	297	68	9	0	7	21	101	2	1	0	.229	.284	.330	.614	.101	.314	31	6	.272	66	-12	+0	-3	+6	+9	-0.0
2023	27	INTL	3 teams	312	293	63	18	0	7	13	101	1	0	1	.215	.251	.348	.599	.133	.296	32	4	.265	61	-14	-0	-0	+6	+9	0.0
2024	28	MLB	3 teams	312	285	69	16	0	9	19	77	4	2	2	.242	.299	.393	.692	.151	.296	25	6	.296	84	-5	-0	+6	+6	+9	1.5
2025	29	MLB	New York Mets	283	261	57	14	1	5	19	56	2	1	0	.218	.277	.337	.614	.119	.260	20	7	.275	68	-10	+0	+14	+5	+8	1.8
▸ 2026 Season (actual · ROS · total)
2026	30	MLB	New York Mets	25	25	6	2	0	0	0	5	0	0	0	.240	.240	.320	.560	.080	.300	20	0	.245	46	-2	+0	+2	+0	+1	0.2
ROS	30	MLB	NYM	250	229	57	14	1	6	17	54	2	2	1	.249	.306	.397	.704	.148	.296	22	7	.311	96	-1	+0	+5	+4	+7	1.6
TOT	30	MLB	NYM	275	254	63	16	1	6	17	59	2	2	1	.248	.300	.390	.690	.142	.300	21	6	.305	92	-3	+0	+7	+5	+8	1.8
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	31	MLB	NYM	252	231	57	14	1	6	17	55	2	1	0	.247	.304	.394	.698	.147	.295	22	7	.307	93	-2	+0	+2	+4	+7	1.2
2028	32	MLB	NYM	227	208	50	12	1	5	15	51	2	0	0	.240	.298	.380	.678	.139	.294	22	7	.303	90	-3	+0	+1	+4	+6	0.9
2029	33	MLB	NYM	192	175	42	10	1	4	13	44	2	0	0	.240	.300	.377	.677	.137	.292	23	7	.297	85	-3	+0	-0	+3	+5	0.5
2030	34	MLB	NYM	150	138	32	8	0	3	10	36	1	0	0	.232	.289	.355	.644	.123	.290	24	7	.290	80	-3	+0	-2	+3	+4	0.2
▸ Career Totals (MLE all levels + projections)
Career	—			4576	4197	943	206	14	94	292	1111	41	13	8	.225	.282	.348	.629	.123	.280	24	6	.276	69	-159	-1	+12	+82	+130	6.5
/ 162G	—			650	596	133	29	2	13	41	158	6	2	1	.223	.280	.344	.623	.121	.279	24	6	.276	69	-23	+0	+2	+12	+18	0.9

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
2013	17	ROK	GCL Yankees2	204	174	42	7	0	1	27	40	2	2	0	.241	.350	.299	.649	.057	.306	20	13	.305	91	-2	+0	—	—	+6	0.4
2014	18	A	Charleston RiverDogs	34	26	4	0	0	1	6	7	2	0	0	.154	.353	.269	.622	.115	.167	21	18	.307	93	-0	+0	—	—	+1	0.1
2014	18	ROK	GCL Yankees1	18	16	4	1	0	0	0	2	2	0	0	.250	.333	.312	.646	.062	.286	11	0	.304	91	-0	+0	—	—	+1	0.0
2016	20	A	Charleston RiverDogs	164	139	32	6	0	2	22	26	3	1	1	.230	.348	.317	.664	.086	.270	16	13	.312	97	-1	-0	—	—	+5	0.4
2017	21	MLB	San Diego Padres	139	123	20	3	1	0	12	30	1	0	0	.163	.243	.203	.446	.041	.215	22	9	.209	18	-13	+0	-3	+5	+4	-0.7
2017	21	INTL	Navegantes del Magallanes	156	142	39	8	1	1	11	30	3	0	0	.275	.340	.366	.706	.092	.342	19	7	.321	104	+1	+0	—	—	+4	0.5
2018	22	A+	Lake Elsinore Storm	515	475	133	36	3	6	26	77	6	1	1	.280	.325	.406	.732	.126	.318	15	5	.322	104	+3	-0	—	—	+15	1.7
2018	22	INTL	Navegantes del Magallanes	89	85	29	6	0	0	2	12	1	1	0	.341	.364	.412	.775	.071	.392	13	2	.344	122	+2	+0	—	—	+3	0.5
2019	23	MLB	San Diego Padres	16	14	3	1	0	0	2	6	0	0	0	.214	.312	.286	.598	.071	.375	38	12	.281	73	-0	+0	+0	+7	+0	0.8
2019	23	AA	Amarillo Sod Poodles	397	350	105	23	1	15	42	67	1	1	2	.300	.377	.500	.877	.200	.331	17	11	.383	151	+23	-1	—	—	+11	3.4
2020	24	MLB	Seattle Mariners	78	70	18	5	0	1	7	15	0	0	0	.257	.325	.371	.696	.114	.315	19	9	.311	96	-0	+0	-4	+1	+2	-0.1
2021	25	MLB	Seattle Mariners	378	346	84	16	2	15	28	99	1	0	0	.243	.301	.431	.732	.188	.294	26	7	.321	104	+2	+0	-5	+8	+11	1.6
2021	25	AAA	Tacoma Rainiers	85	73	16	4	0	6	10	22	1	0	0	.219	.321	.521	.842	.301	.217	26	12	.362	135	+3	+0	—	—	+2	0.6
2022	26	MLB	Seattle Mariners	166	151	34	2	0	3	12	50	1	0	0	.225	.287	.298	.585	.073	.310	30	7	.266	62	-7	+0	-3	+6	+5	0.0
2022	26	AAA	Tacoma Rainiers	68	61	17	5	0	3	5	18	0	0	0	.279	.333	.508	.842	.230	.333	26	7	.357	132	+2	+0	—	—	+2	0.4
2022	26	INTL	Navegantes del Magallanes	91	75	29	7	0	3	14	8	1	1	0	.387	.489	.600	1.089	.213	.400	9	15	.472	219	+12	+0	—	—	+3	1.5
2023	27	MLB	Seattle Mariners	30	28	7	3	0	0	1	9	1	0	0	.250	.300	.357	.657	.107	.368	30	3	.297	85	-0	+0	-0	+6	+1	0.6
2023	27	AAA	Tacoma Rainiers	95	86	21	5	0	4	7	25	0	0	1	.244	.301	.442	.743	.198	.288	26	7	.321	104	+0	-0	—	—	+3	0.3
2023	27	INTL	Venezuela	187	165	42	7	0	3	19	25	0	0	0	.255	.332	.352	.683	.097	.281	13	10	.307	93	-1	+0	—	—	+5	0.4
2024	28	MLB	New York Mets	130	118	27	8	0	3	9	28	2	0	1	.229	.295	.373	.667	.144	.273	22	7	.298	86	-2	-0	+6	+6	+4	1.3
2024	28	AAA	Scranton/Wilkes-Barre RailRiders	124	111	31	6	0	5	10	29	1	1	1	.279	.344	.468	.813	.189	.329	23	8	.354	129	+4	-0	—	—	+4	0.8
2024	28	INTL	Navegantes del Magallanes	58	50	14	2	0	1	6	11	1	1	0	.280	.368	.380	.748	.100	.333	19	10	.337	116	+1	+0	—	—	+2	0.3
2025	29	MLB	New York Mets	283	261	59	14	1	5	19	56	2	1	0	.226	.284	.345	.629	.119	.270	20	7	.283	75	-8	+0	+14	+5	+8	2.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1220	1111	252	52	4	27	90	293	8	1	1	.227	.289	.354	.643	.127	.282	24	7	.288	78	-30	-0	+6	+44	+35	5.6

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
Luis Torrens (OGILVIE)	30	60	50	45	50	.245/.305/.390	.145	.296	7	2	21%	7%	96	+0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Pedro Severino 2023 · MLB	30	51→50	47→50	49→45	46	.251/.310/.385	.134	.318	15	5	25%	8%	96	+1.5	.225/.283/.360	.135	.285	15	11	26%	7%	79	+0.3	.189/.246/.307	.118	.234	15	13	26%	7%	45	-0.9
✕Elias Díaz 2021 · MLB	30	52→58	44→50	43→45	49	.255/.310/.371	.116	.291	12	3	17%	7%	92	+1.2	.234/.293/.379	.145	.268	17	3	19%	7%	88	+0.9	.235/.291/.378	.144	.273	17	0	20%	7%	85	+0.5
✕Dioner Navarro 2015 · MLB	31	54→61	47→50	46→45	50	.270/.320/.401	.131	.293	16	4	14%	7%	104	+2.0	.240/.297/.367	.127	.274	15	4	18%	7%	86	+0.8	.208/.275/.313	.105	.245	12	1	20%	8%	60	-0.4
✕John Mayberry Jr. 2014 · MLB	30	47→48	52→55	46→50	47	.240/.297/.410	.170	.281	20	8	22%	7%	98	+1.6	.216/.285/.374	.158	.262	17	6	24%	8%	84	+0.6	.180/.259/.335	.155	.212	17	2	24%	9%	64	-0.2
✕P.J. Higgins 2023 · MLB	30	51→55	47→45	49→40	50	.247/.322/.389	.142	.317	14	5	25%	9%	102	+1.9	.237/.294/.360	.123	.310	12	3	26%	7%	83	+0.6	.223/.274/.329	.105	.292	11	0	26%	6%	63	-0.6
✕Gerald Laird 2010 · MLB	30	48→47	42→50	46→50	50	.234/.300/.346	.112	.272	9	7	17%	7%	82	+0.5	.227/.292/.336	.109	.262	9	7	17%	7%	76	+0.1	.263/.333/.361	.098	.304	5	3	14%	8%	94	+0.3
✕Kevan Smith 2020 · MLB	32	54	44→50	49→40	47	.262/.314/.378	.116	.296	12	5	16%	6%	96	+1.5	.234/.305/.355	.121	.292	12	7	23%	8%	87	+0.8	.163/.242/.193	.030	.240	0	0	29%	9%	2	-0.9
✕Michael McKenry 2015 · MLB	30	50→46	53→55	41→40	50	.255/.325/.428	.173	.301	21	5	22%	9%	114	+2.7	.225/.316/.373	.148	.292	15	6	26%	11%	96	+1.5	.182/.292/.306	.123	.253	11	3	30%	12%	67	-0.2
●Jorge Cantu 2011 · MLB	29	54→60	50→60	45→40	49	.269/.322/.425	.156	.297	17	4	16%	6%	112	+2.6	.242/.291/.403	.161	.268	21	3	18%	6%	93	+1.3	.259/.314/.473	.213	.273	31	3	18%	6%	122	+2.0
✕John Hicks 2019 · MLB	29	50→51	49→60	44→50	41	.252/.295/.397	.145	.322	17	6	27%	5%	93	+1.3	.230/.270/.397	.167	.302	22	6	31%	5%	83	+0.6	.215/.250/.403	.188	.281	26	9	34%	4%	73	-0.1
✕Kevin Plawecki 2022 · MLB	31	54→57	45	46→30	50	.263/.325/.387	.124	.300	12	5	17%	7%	103	+1.9	.238/.301/.343	.105	.286	10	3	19%	7%	82	+0.5	.218/.281/.316	.098	.264	9	0	20%	7%	63	-0.4
✕Anthony Recker 2014 · MLB	30	43→48	51→50	43→45	47	.220/.295/.378	.157	.286	19	7	29%	9%	89	+0.9	.211/.280/.369	.158	.286	20	6	32%	8%	80	+0.4	.200/.280/.351	.151	.266	19	3	31%	9%	71	-0.1
✕Ronny Paulino 2012 · MLB	31	52→62	42→50	48→40	50	.251/.304/.356	.105	.289	9	3	17%	7%	85	+0.7	.244/.290/.339	.095	.298	8	4	20%	6%	75	-0.0	.259/.306/.369	.110	.299	13	3	18%	6%	89	+0.4
✕Curt Casali 2019 · MLB	30	47	45→50	39→30	47	.233/.299/.350	.117	.289	13	3	24%	8%	83	+0.6	.239/.318/.393	.154	.299	18	5	25%	9%	102	+1.9	.216/.315/.356	.139	.285	17	0	28%	11%	84	+0.3
✕Andy Green 2006 · MLB	29	52→56	48→50	48→45	51	.256/.318/.410	.154	.291	13	8	17%	8%	105	+2.1	.236/.304/.368	.132	.279	12	8	19%	8%	89	+1.0	.215/.283/.329	.114	.255	11	7	20%	8%	68	-0.3
✕Ryan Doumit 2011 · MLB	30	53→63	51→55	47→45	50	.265/.326/.427	.162	.292	18	5	17%	7%	114	+2.7	.261/.321/.426	.165	.296	18	3	18%	7%	111	+2.5	.261/.319/.427	.166	.294	18	0	18%	7%	105	+1.6
✕Said Gutierrez 2010 · AAA	30	52	47→50	43→40	45	.260/.300/.393	.133	.289	15	4	17%	5%	94	+1.3	.246/.293/.398	.152	.283	20	5	21%	6%	93	+1.3	.239/.290/.389	.150	.271	20	3	20%	6%	89	+0.4
●Andy Ibáñez 2022 · MLB	29	50→55	51→50	44→45	48	.255/.308/.419	.164	.285	18	6	18%	6%	105	+2.1	.245/.299/.388	.143	.283	15	7	19%	7%	92	+1.2	.247/.306/.390	.143	.289	15	7	20%	7%	94	+0.8
✕James McCann 2020 · MLB	30	50→55	49→50	42→45	43	.250/.305/.400	.150	.315	18	4	26%	6%	98	+1.6	.244/.304/.393	.149	.317	18	5	28%	7%	96	+1.5	.236/.283/.390	.154	.294	19	3	26%	5%	85	+0.3
✕Conor Gillaspie 2017 · MLB	30	51→58	46→50	40	48	.253/.301/.394	.141	.283	12	4	16%	6%	94	+1.3	.233/.279/.362	.129	.257	13	8	15%	6%	77	+0.1	.214/.250/.307	.094	.234	8	8	12%	4%	46	-0.6

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)