Luis Torrens

C New York Mets

Age 31 R/R 5'11" / 217 lbs MLB H -5% Svc 6.610 · Ctrl thru 2027

Overview

MLB40-MANExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	28	AAA/INTL2 orgs	182	.280/.352/.441	6	2	89	—	.237/.287/.360
2024	28	MLBNYM	130	.229/.295/.373	3	0	93	1.3
2025	29	MLBNYM	283	.226/.284/.345	5	1	83	2.0
2026	30	MLBNYM	281	.235/.296/.396	9	1	97	1.3
2027PROJ	31	MLBNYM	195	.241/.302/.391	5	1	100	1.2
2028PROJ	32	MLBNYM	166	.235/.295/.376	4	0	94	0.5

Last 3 seasons WAR 4.7 · Next 2 projected WAR 1.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service6.610First FA2028

2027Ext / FA-deal$8M

Skills · percentileStatcast 2024-2026

Avg EV58

xwOBA56

Barrel%48

Bat Spd42

Speed32

Form.238/.294/.389 ▼ rolling true talent (60d window) · proj .248/.307/.402

CompsDioner Navarro (age 31) · Kevin Plawecki (age 31) · Aledmys Díaz (age 31)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 103100vR 91

AVG/OBP/SLG.241 / .302 / .391

PA195

HR5

K%21

BB%7

BABIP281

ISO140

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Recent Form · Splits · ContractCON 60 / POW 50

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT60

xAVG

530.254

POWER50

Barrel%

487.9

Avg EV

5889.6

Bat Spd

4270.5

EYE50

scouting grade only

SPEED45

Sprint

3226.6

Recent Formrolling true talent ⓘ

K%24%▼▼28% over 39 PA (60d) · proj 21%

BB%6%·5% over 39 PA (60d) · proj 7%

ISO.152·.143 over 35 AB (60d) · proj .154

BABIP.289·.250 over 24 BIP (60d) · proj .291

SLASH.238/.294/.389▼proj .248/.307/.402

Platoon Splits2024-2025 · 413 PA

vs LHP

vs RHP

Edge

117

296

—

wRC+

◀L

wOBA

296

281

◀L

ISO

152

118

◀◀L

BABIP

285

264

◀L

22.2%

19.6%

▶R

BB%

6.8%

—

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

Status FA

MLB Debut 2017

Service 6.610 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$8M	+1.2	$10M	+$2M
Totals		$8M		$10M	+$2M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

Year	Age	Lvl	Team	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2013	17	ROK	GCL Yankees2	—	204	174	42	7	0	1	27	40	2	2	0	241	350	299	649	57	306	20	13	305	36	—	—	—	—	—	—
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	55	—	—	—	—	—	—
2014	18	ROK	GCL Yankees1	—	18	16	4	1	0	0	0	2	2	0	0	250	333	312	646	62	286	11	0	304	41	—	—	—	—	—	—
2016	20	A	Charleston RiverDogs	—	164	139	32	6	0	2	22	26	3	1	1	230	348	317	664	86	270	16	13	312	61	—	—	—	—	—	—
2017	21	MLB	San Diego Padres	—	139	123	20	3	1	0	12	30	1	0	0	163	243	203	446	41	215	22	9	209	19	-13	+0	-3	+5	+3	-0.8
2017	21	INTL	Navegantes del Magallanes	—	156	142	39	8	1	1	11	30	3	0	0	275	340	366	706	92	342	19	7	321	103	—	—	—	—	—	—
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	68	—	—	—	—	—	—
2018	22	INTL	Navegantes del Magallanes	—	89	85	29	6	0	0	2	12	1	1	0	341	364	412	775	71	392	13	2	344	119	—	—	—	—	—	—
2019	23	MLB	San Diego Padres	—	16	14	3	1	0	0	2	6	0	0	0	214	312	286	598	71	375	38	12	281	80	-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	84	—	—	—	—	—	—
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	98	-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	105	+2	+0	-5	+8	+8	1.4
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	76	—	—	—	—	—	—
2022	26	MLB	Seattle Mariners	—	166	151	34	2	0	3	12	50	1	0	0	225	287	298	585	73	310	30	7	266	68	-6	+0	-3	+6	+4	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	91	—	—	—	—	—	—
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	205	—	—	—	—	—	—
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	89	-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	63	—	—	—	—	—	—
2023	27	INTL	Venezuela	—	187	165	42	7	0	3	19	25	0	0	0	255	332	352	683	97	281	13	10	307	94	—	—	—	—	—	—
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	93	-1	-0	+6	+6	+3	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	78	—	—	—	—	—	—
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	114	—	—	—	—	—	—
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	83	-6	+0	+14	+5	+6	2.0
2026	30	MLB	New York Mets	—	281	255	60	14	0	9	18	59	4	1	0	235	296	396	692	161	271	21	6	305	97	-1	+0	+2	+5	+6	1.3
2026	30	INTL	Navegantes del Magallanes	—	17	14	2	1	0	0	1	4	2	0	0	143	294	214	508	71	200	24	6	256	60	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1501	1366	312	66	4	36	108	352	12	2	1	228	291	362	652	133	280	23	7	291	83	-30	+0	+8	+50	+33	6.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	17	ROK MLE	GCL Yankees2	—	204	184	34	5	0	1	17	58	2	2	0	185	261	228	489	43	255	28	8	222	36	—	—	—	—	—	—
2014	18	A MLE	Charleston RiverDogs	—	34	28	4	0	0	1	4	10	2	0	0	143	294	250	544	107	169	29	12	249	55	—	—	—	—	—	—
2014	18	ROK MLE	GCL Yankees1	—	18	16	3	1	0	0	0	3	2	0	0	188	278	250	528	62	232	17	0	229	41	—	—	—	—	—	—
2016	20	A MLE	Charleston RiverDogs	—	164	146	31	5	0	2	15	34	3	1	1	212	299	288	586	75	257	21	9	259	61	—	—	—	—	—	—
2017	21	MLB MLE	San Diego Padres	—	139	126	20	3	1	0	9	30	1	0	0	159	221	198	419	40	215	22	6	197	19	-13	+0	-3	+5	+3	-0.8
2018	22	A+ MLE	Lake Elsinore Storm	—	515	484	115	28	3	6	17	107	6	1	1	238	272	345	617	107	282	21	3	269	68	—	—	—	—	—	—
2019	23	MLB MLE	San Diego Padres	—	16	14	3	1	0	0	2	6	0	0	0	214	312	286	598	71	375	38	12	287	80	-0	+0	+0	+7	+0	0.8
2019	23	AA MLE	Amarillo Sod Poodles	—	397	364	88	18	1	9	28	86	1	1	2	242	298	371	669	129	284	22	7	293	84	—	—	—	—	—	—
2020	24	MLB MLE	Seattle Mariners	—	78	70	18	5	0	1	7	15	0	0	0	257	325	371	696	114	315	19	9	314	98	-0	+0	-4	+1	+2	-0.1
2021	25	MLB MLE	Seattle Mariners	—	378	347	84	16	2	15	27	99	1	0	0	242	299	429	728	187	294	26	7	323	105	+2	+0	-5	+8	+8	1.4
2021	25	AAA MLE	Tacoma Rainiers	—	85	76	13	3	0	4	7	27	1	0	0	171	250	368	618	197	195	32	8	281	76	—	—	—	—	—	—
2022	26	MLB MLE	Seattle Mariners	—	166	151	34	2	0	3	12	50	1	0	0	225	287	298	585	73	310	30	7	268	68	-6	+0	-3	+6	+4	0.0
2022	26	AAA MLE	Tacoma Rainiers	—	68	63	15	5	0	2	3	21	0	0	0	238	273	413	685	175	312	31	4	302	91	—	—	—	—	—	—
2023	27	MLB MLE	Seattle Mariners	—	30	28	7	3	0	0	1	9	1	0	0	250	300	357	657	107	368	30	3	300	89	-0	+0	-0	+6	+1	0.6
2023	27	AAA MLE	Tacoma Rainiers	—	95	89	19	5	0	2	4	29	0	0	1	213	247	337	584	124	273	31	4	262	63	—	—	—	—	—	—
2024	28	MLB MLE	New York Mets	—	130	118	27	8	0	3	9	28	2	0	1	229	295	373	667	144	273	22	7	306	93	-1	-0	+6	+6	+3	1.3
2024	28	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	124	114	27	5	0	3	7	35	1	1	1	237	287	360	647	123	299	28	6	284	78	—	—	—	—	—	—
2025	29	MLB MLE	New York Mets	—	283	261	61	15	1	5	19	56	2	1	0	234	291	356	647	123	270	20	7	290	83	-6	+0	+14	+5	+6	2.0
2026	30	MLB MLE	New York Mets	—	281	255	62	15	0	9	18	59	4	1	0	243	303	408	711	165	271	21	6	312	97	-1	+0	+2	+5	+6	1.3
2013	17	ROK MLE	GCL Yankees2	—	204	184	34	5	0	1	17	58	2	2	0	185	261	228	489	43	262	28	8	222	36	—	—	—	—	—	—
2013	17	ROK RAW	GCL Yankees2	—	204	174	42	7	0	1	27	40	2	2	0	241	350	299	649	57	306	20	13	305	36	—	—	—	—	—	—
2014	18	A MLE	2 teams	—	52	44	7	1	0	1	4	13	4	0	0	159	288	250	538	91	200	25	8	242	50	—	—	—	—	—	—
2014	18	A RAW	2 teams	—	52	42	8	1	0	1	6	9	4	0	0	190	346	286	632	95	219	17	12	306	50	—	—	—	—	—	—
2016	20	A MLE	Charleston RiverDogs	—	164	146	31	5	0	2	15	34	3	1	1	212	299	288	586	75	264	21	9	259	61	—	—	—	—	—	—
2016	20	A RAW	Charleston RiverDogs	—	164	139	32	6	0	2	22	26	3	1	1	230	348	317	664	86	270	16	13	312	61	—	—	—	—	—	—
2017	21	INTL MLE	2 teams	—	295	269	43	7	2	0	19	64	4	0	0	160	226	201	427	41	210	22	6	197	19	—	—	—	—	—	—
2017	21	INTL RAW	2 teams	—	295	265	59	11	2	1	23	60	4	0	0	223	295	291	585	68	284	20	8	268	19	—	—	—	—	—	—
2018	22	A+ MLE	2 teams	—	604	568	136	33	3	8	20	125	7	2	1	239	274	350	624	111	288	21	3	269	68	—	—	—	—	—	—
2018	22	A+ RAW	2 teams	—	604	560	162	42	3	6	28	89	7	2	1	289	331	407	738	118	329	15	5	325	68	—	—	—	—	—	—
2019	23	AA MLE	2 teams	—	413	378	91	19	1	9	30	92	1	1	2	241	298	368	666	127	292	22	7	293	84	—	—	—	—	—	—
2019	23	AA RAW	2 teams	—	413	364	108	24	1	15	44	73	1	1	2	297	374	492	866	195	332	18	11	379	84	—	—	—	—	—	—
2020	24	MLB MLE	Seattle Mariners	—	78	70	18	5	0	1	7	15	0	0	0	257	325	371	696	114	315	19	9	314	98	-0	+0	-4	+1	+2	-0.1
2020	24	MLB RAW	Seattle Mariners	—	78	70	18	5	0	1	7	15	0	0	0	257	325	371	696	114	315	19	9	311	98	-0	+0	-4	+1	+2	-0.1
2021	25	MLB MLE	2 teams	—	463	423	99	20	2	20	34	126	2	0	0	234	294	433	727	199	281	27	7	315	100	-0	+0	-5	+8	+10	1.3
2021	25	MLB RAW	2 teams	—	463	419	100	20	2	21	38	121	2	0	0	239	305	446	751	208	281	26	8	329	100	-0	+0	-5	+8	+10	1.3
2022	26	MLB MLE	3 teams	—	325	297	69	10	0	7	21	99	2	1	0	232	287	337	624	104	316	30	6	278	74	-10	+0	-3	+6	+7	0.0
2022	26	MLB RAW	3 teams	—	325	287	80	14	0	9	31	76	2	1	0	279	353	422	775	143	343	23	10	343	74	-10	+0	-3	+6	+7	0.0
2023	27	INTL MLE	3 teams	—	312	293	65	19	0	6	13	95	1	0	1	222	257	348	605	126	301	30	4	271	70	—	—	—	—	—	—
2023	27	INTL RAW	3 teams	—	312	279	70	15	0	7	27	59	1	0	1	251	319	380	699	129	290	19	9	310	70	—	—	—	—	—	—
2024	28	MLB MLE	3 teams	—	312	285	68	16	0	8	19	77	4	2	2	239	295	379	674	140	294	25	6	295	86	-5	-0	+6	+6	+7	1.3
2024	28	MLB RAW	3 teams	—	312	279	72	16	0	9	25	68	4	2	2	258	328	412	740	154	306	22	8	328	86	-5	-0	+6	+6	+7	1.3
2025	29	MLB MLE	New York Mets	—	283	261	61	15	1	5	19	56	2	1	0	234	291	356	647	123	280	20	7	290	83	-6	+0	+14	+5	+6	2.0
2025	29	MLB RAW	New York Mets	—	283	261	59	14	1	5	19	56	2	1	0	226	284	345	629	119	270	20	7	283	83	-6	+0	+14	+5	+6	2.0
2026	30	MLB MLE	2 teams	—	298	269	66	16	0	10	19	63	6	1	0	245	310	416	726	171	284	21	6	312	97	-1	+0	+2	+5	+6	1.4
2026	30	MLB RAW	2 teams	—	298	269	62	15	0	9	19	63	6	1	0	230	296	387	683	156	268	21	6	302	97	-1	+0	+2	+5	+6	1.4
2013	17	ROK MLE	GCL Yankees2	—	204	183	34	5	0	1	17	58	2	2	0	186	261	230	491	44	255	28	8	222	36	—	—	—	—	—	—
2014	18	A MLE	2 teams	—	52	44	7	1	0	1	4	13	4	0	0	159	288	250	538	91	191	25	8	242	50	—	—	—	—	—	—
2016	20	A MLE	Charleston RiverDogs	—	164	145	31	5	0	2	15	34	3	1	1	214	299	290	588	76	257	21	9	259	61	—	—	—	—	—	—
2017	21	INTL MLE	2 teams	—	295	270	43	7	2	0	19	64	4	0	0	159	226	200	426	41	215	22	6	197	19	—	—	—	—	—	—
2018	22	A+ MLE	2 teams	—	604	572	136	33	3	8	20	125	7	2	1	238	274	348	622	110	282	21	3	269	68	—	—	—	—	—	—
2019	23	AA MLE	2 teams	—	413	379	91	19	1	9	30	92	1	1	2	240	298	367	665	127	288	22	7	293	84	—	—	—	—	—	—
2020	24	MLB MLE	Seattle Mariners	—	78	71	18	5	0	1	7	15	0	0	0	254	325	366	691	113	315	19	9	314	98	—	—	—	—	—	—
2021	25	MLB MLE	2 teams	—	463	424	99	20	2	20	34	126	2	0	0	233	294	432	726	198	276	27	7	315	100	—	—	—	—	—	—
2022	26	MLB MLE	3 teams	—	325	299	69	10	0	7	21	99	2	1	0	231	287	334	622	104	311	30	6	278	74	—	—	—	—	—	—
2023	27	INTL MLE	3 teams	—	312	295	65	19	0	6	13	95	1	0	1	220	257	346	603	125	296	30	4	271	70	—	—	—	—	—	—
2024	28	MLB MLE	3 teams	—	312	286	68	16	0	8	19	77	4	2	2	238	295	378	673	140	286	25	6	295	86	—	—	—	—	—	—
2025	29	MLB MLE	New York Mets	—	283	260	61	15	1	5	19	56	2	1	0	235	291	358	648	123	270	20	7	290	83	—	—	—	—	—	—
2026	30	MLB MLE	2 teams	—	298	271	66	16	0	10	19	63	6	1	0	244	310	413	723	170	271	21	6	312	97	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	28	MLB MLE	3 teams	—	312	286	68	16	0	8	19	77	4	2	2	238	295	378	673	140	286	25	6	295	86	—	—	—	—	—	—
2025	29	MLB MLE	New York Mets	—	283	260	61	15	1	5	19	56	2	1	0	235	291	358	648	123	270	20	7	290	83	—	—	—	—	—	—
2026	30	MLB MLE	2 teams	—	298	271	66	16	0	10	19	63	6	1	0	244	310	413	723	170	271	21	6	312	97	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	31	MLB MLE	NYM	100%	304	276	68	16	1	8	21	63	4	2	1	248	309	402	711	154	291	21	7	315	100	-0	+0	+6	+5	+7	1.2
▸ 2027 — real world (MLB)
2027	31	MLB CTX	NYM	100%	195	178	42	10	0	5	13	40	2	1	0	241	302	391	693	150	281	21	7	308	100	-0	+0	+4	+3	+4	1.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	32	MLB MLE	NYM	100%	166	152	36	9	0	4	11	35	2	0	0	242	302	387	689	146	285	21	7	306	94	-1	+0	-0	+3	+4	0.5
2028	32	MLB CTX	NYM	100%	166	152	35	8	0	4	11	35	2	0	0	235	295	376	672	142	276	21	7	299	94	-1	+0	-0	+3	+4	0.5
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1667	1518	347	74	4	40	119	387	14	2	1	229	291	362	652	133	279	23	7	292	76	-32	+0	+8	+53	+36	6.7
/ 162G	—	A+C		—	650	592	136	29	2	16	46	151	5	1	0	230	290	367	657	137	280	23	7	292	76	-12	+0	+3	+21	+14	2.6
Career	—	MLE		—	4164	3817	867	190	9	87	261	992	42	12	7	227	284	350	634	123	281	24	6	280	76	-32	+0	+12	+56	+40	7.9
/ 162G	—	MLE		—	650	596	136	30	1	14	41	155	7	2	1	228	286	352	639	124	282	24	6	280	76	-11	+0	+4	+20	+14	2.7

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2024 AAAScranton/Wilkes-Barre RailRiders · 124 PAwOBA .350 → .284 (−66)K% 23.4% → 28.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.39%	÷0.990	×1.200	—	—	28.33%
BB% (unintentional) /PA	8.06%	÷1.011	×0.690	—	×0.992	5.46%
HBP% /PA	0.81%	—	×0.940	—	×0.992	0.75%
Singles /BIP	24.39%	÷0.976	×0.930	×1.028	×0.992	23.69%
Doubles /BIP	7.32%	÷1.072	×0.830	×1.028	×0.992	5.78%
Triples /BIP	0.00%	÷0.900	×0.970	×1.028	×0.992	0.00%
Home runs /BIP	6.10%	÷1.045	×0.700	—	×0.992	4.05%

Factors used: league row International League. Park (home-season share, regressed): HR 109, 1B 95, 2B 114, 3B 80, K 98, BB 102 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.028.

Result: wOBA .350 → .284; ISO .189 → .131; BABIP .329 → .299. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 AAATacoma Rainiers · 95 PAwOBA .315 → .262 (−52)K% 26.3% → 30.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.32%	÷1.024	×1.200	—	—	30.84%
BB% (unintentional) /PA	6.32%	÷1.013	×0.690	—	×1.003	4.32%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	19.67%	÷0.989	×0.930	×1.050	×1.003	19.48%
Doubles /BIP	8.20%	÷0.940	×0.830	×1.050	×1.003	7.62%
Triples /BIP	0.00%	÷0.900	×0.970	×1.050	×1.003	0.00%
Home runs /BIP	6.56%	÷1.157	×0.700	—	×1.003	3.98%

Factors used: league row International League. Park (home-season share, regressed): HR 131, 1B 98, 2B 88, 3B 80, K 105, BB 103 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .315 → .262; ISO .198 → .140; BABIP .288 → .273. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 AAATacoma Rainiers · 68 PAwOBA .358 → .302 (−56)K% 26.5% → 31.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.47%	÷1.020	×1.200	—	—	31.16%
BB% (unintentional) /PA	7.35%	÷1.048	×0.690	—	×1.018	4.93%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	20.93%	÷1.013	×0.930	—	×1.018	19.56%
Doubles /BIP	11.63%	÷0.839	×0.830	—	×1.018	11.71%
Triples /BIP	0.00%	÷0.902	×0.970	—	×1.018	0.00%
Home runs /BIP	6.98%	÷1.144	×0.700	—	×1.018	4.35%

Factors used: league row International League. Park (home-season share, regressed): HR 129, 1B 103, 2B 68, 3B 80, K 104, BB 110 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average).

Result: wOBA .358 → .302; ISO .230 → .176; BABIP .333 → .312. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2021 AAATacoma Rainiers · 85 PAwOBA .356 → .281 (−75)K% 25.9% → 31.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.88%	÷0.994	×1.200	—	—	31.26%
BB% (unintentional) /PA	11.76%	÷1.045	×0.690	—	×1.033	8.03%
HBP% /PA	1.18%	—	×0.940	—	×1.033	1.14%
Singles /BIP	11.76%	÷0.952	×0.930	×0.975	×1.033	11.57%
Doubles /BIP	7.84%	÷0.989	×0.830	×0.975	×1.033	6.63%
Triples /BIP	0.00%	÷0.977	×0.920	×0.975	×1.033	0.00%
Home runs /BIP	11.76%	÷0.970	×0.700	—	×1.033	8.77%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 90, 2B 98, 3B 95, K 99, BB 109 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.975.

Result: wOBA .356 → .281; ISO .301 → .228; BABIP .217 → .195. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2019 AAAmarillo Sod Poodles · 397 PAwOBA .375 → .293 (−82)K% 16.9% → 21.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.88%	÷0.955	×1.220	—	—	21.56%
BB% (unintentional) /PA	10.08%	÷1.037	×0.700	—	×1.027	6.99%
HBP% /PA	0.25%	—	×0.870	—	×1.027	0.23%
Singles /BIP	23.32%	÷1.014	×0.920	×0.980	×1.027	21.32%
Doubles /BIP	8.13%	÷1.097	×0.840	×0.980	×1.027	6.27%
Triples /BIP	0.35%	÷1.079	×0.940	×0.980	×1.027	0.31%
Home runs /BIP	5.30%	÷1.337	×0.800	—	×1.027	3.26%

Factors used: league row TL. Park (home-season share, regressed): HR 167, 1B 103, 2B 119, 3B 116, K 91, BB 107 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.980.

Result: wOBA .375 → .293; ISO .200 → .135; BABIP .331 → .284. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2018 A+Lake Elsinore Storm · 515 PAwOBA .318 → .269 (−49)K% 15.0% → 20.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.95%	÷0.966	×1.340	—	—	20.74%
BB% (unintentional) /PA	5.05%	÷1.087	×0.710	—	×1.012	3.34%
HBP% /PA	1.17%	—	×0.790	—	×1.012	0.93%
Singles /BIP	22.11%	÷1.020	×0.910	×1.017	×1.012	20.30%
Doubles /BIP	9.05%	÷1.038	×0.820	×1.017	×1.012	7.35%
Triples /BIP	0.75%	÷0.900	×0.760	×1.017	×1.012	0.66%
Home runs /BIP	1.51%	÷0.839	×0.920	—	×1.012	1.67%

Factors used: league row CAL. Park (home-season share, regressed): HR 68, 1B 104, 2B 108, 3B 80, K 93, BB 117 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.017.

Result: wOBA .318 → .269; ISO .126 → .111; BABIP .318 → .282. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2016 ACharleston RiverDogs · 164 PAwOBA .305 → .259 (−46)K% 15.9% → 20.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.85%	÷1.017	×1.340	—	—	20.90%
BB% (unintentional) /PA	13.41%	÷0.995	×0.660	—	×1.030	9.16%
HBP% /PA	1.83%	—	×0.770	—	×1.030	1.45%
Singles /BIP	21.24%	÷1.000	×0.920	×1.050	×1.030	21.12%
Doubles /BIP	5.31%	÷1.145	×0.820	×1.050	×1.030	4.11%
Triples /BIP	0.00%	÷0.930	×0.940	×1.050	×1.030	0.00%
Home runs /BIP	1.77%	÷0.895	×0.820	—	×1.030	1.67%

Factors used: league row SAL. Park (home-season share, regressed): HR 79, 1B 100, 2B 129, 3B 86, K 103, BB 99 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .305 → .259; ISO .086 → .074; BABIP .270 → .257. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2014 ACharleston RiverDogs · 34 PAwOBA .301 → .249 (−51)K% 20.6% → 28.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.59%	÷0.975	×1.340	—	—	28.29%
BB% (unintentional) /PA	17.65%	÷1.050	×0.660	—	×1.050	11.65%
HBP% /PA	5.88%	—	×0.770	—	×1.050	4.76%
Singles /BIP	15.79%	÷0.953	×0.920	—	×1.050	16.01%
Doubles /BIP	0.00%	÷1.073	×0.820	—	×1.050	0.00%
Triples /BIP	0.00%	÷0.991	×0.940	—	×1.050	0.00%
Home runs /BIP	5.26%	÷0.883	×0.820	—	×1.050	5.13%

Factors used: league row SAL. Park (home-season share, regressed): HR 77, 1B 91, 2B 115, 3B 98, K 95, BB 110 — applied at half strength. Age: age 18 vs a level average of 22.0 → +5.0% on BB/HBP/hit rates (4.0 yr younger than average).

Result: wOBA .301 → .249; ISO .115 → .111; BABIP .167 → .169. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brian Schneider'00-'12 * career totals — 12 seasons, 3,570 PA	5.4	3,570	67	4	238*	309*	359*	+63	-0	9.0	8.8
/162	664	12	1	+11.7	-0.1	1.7	pk7: 9
#2Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#3Devin Mesoracolast yr '18 career totals — 8 seasons, 1,574 PA	2.4	1,574	58	4	232	309	406	+28	-13	6.0	6.2
/162	664	24	2	+11.9	-5.3	2.5	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	2.7	1,816	46	3	232	290	370	+32	+8	5.1	5.3
/162	664	17	1	+11.9	+3.0	1.9	pk7: 6
#4Damon Berryhill'87-'97 * career totals — 9 seasons, 2,208 PA	3.3	2,208	47	3	237*	286*	388*	+38	-0	4.0	4.3
/162	664	14	1	+11.5	-0.1	1.2	pk7: 5
#5Chris Widger'95-'06 * career totals — 8 seasons, 1,998 PA	3.0	1,998	55	10	227*	283*	381*	+33	-0	3.6	4.1
/162	664	18	3	+11.1	-0.2	1.2	pk7: 5
#6Javier Valentin'97-'08 * career totals — 8 seasons, 1,663 PA	2.5	1,663	45	0	241*	298*	388*	+25	-2	3.7	4.0
/162	664	18	0	+10.1	-0.9	1.5	pk7: 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
Luis Torrens (OGILVIE)	31	60	50	45	50	246/307/398	152	291	5	1	21%	7%	100	+0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dioner Navarro 2015 · MLB	31	54→61	49→50	46→45	49	272/320/411	139	294	17	4	15%	6%	106	+1.8	239/296/370	131	274	15	4	18%	7%	88	+0.4	209/274/317	109	246	12	1	20%	8%	68	-0.4
✕Kevin Plawecki 2022 · MLB	31	54→59	44→45	47→30	50	264/327/385	121	301	12	5	16%	7%	103	+1.5	233/294/335	102	278	9	3	19%	7%	79	-0.2	216/275/308	92	258	8	0	19%	7%	64	-0.6
✕Aledmys Díaz 2022 · MLB	31	49→57	50→55	43→45	46	247/305/403	156	278	17	4	18%	6%	100	+1.3	233/283/370	137	265	15	4	18%	5%	84	+0.1	231/279/365	133	261	15	2	18%	5%	81	-0.0
✕James McCann 2020 · MLB	30	51→55	50	43→45	43	253/307/407	154	321	18	4	27%	6%	101	+1.4	246/306/395	149	319	18	5	28%	7%	98	+1.2	243/286/397	153	300	21	1	26%	5%	91	+0.3
✕Kevan Smith 2020 · MLB	32	53→54	44→50	49→40	48	259/314/378	119	292	12	5	16%	6%	97	+1.1	229/296/348	119	289	11	7	23%	8%	83	+0.1	162/217/192	30	235	0	0	29%	7%	17	-0.8
✕Elias Díaz 2021 · MLB	30	51→59	44→50	44→45	49	249/304/360	111	287	11	3	18%	7%	88	+0.5	236/293/387	151	270	18	2	19%	7%	91	+0.7	236/292/382	147	273	17	0	20%	7%	91	+0.5
✕Michael McKenry 2016 · MLB	31	48→47	50→55	43→40	53	241/325/403	161	293	17	8	23%	10%	107	+1.8	206/298/335	129	283	12	6	29%	11%	82	-0.0	175/275/285	109	248	10	2	31%	11%	60	-0.7
✕Wilson Ramos 2020 · MLB	32	57→61	50→55	47→30	50	285/337/436	151	312	19	2	16%	7%	118	+2.7	255/306/414	159	284	21	4	18%	6%	102	+1.5	232/275/395	164	253	24	0	20%	5%	86	+0.1
✕Ryan Doumit 2012 · MLB	31	51→61	51→55	46→45	49	259/319/419	160	288	18	4	18%	7%	108	+1.9	254/306/416	162	291	18	3	19%	6%	103	+1.5	247/298/405	158	285	18	1	20%	6%	98	+0.8
✕Welington Castillo 2019 · MLB	32	50→56	52→55	48→30	42	256/303/415	159	317	22	4	26%	6%	101	+1.4	229/290/401	172	290	22	5	28%	7%	93	+0.8	205/266/409	204	245	28	0	29%	6%	88	+0.2
✕Curt Casali 2020 · MLB	31	49	48→50	40→30	48	244/309/380	137	296	16	3	23%	8%	95	+1.0	230/320/392	162	298	19	5	28%	10%	103	+1.5	207/312/292	85	276	8	0	25%	11%	77	-0.1
✕David Freitas 2021 · MLB	32	55→60	46→45	44→40	49	269/331/400	131	322	13	4	20%	8%	108	+1.9	223/286/342	119	271	13	7	22%	8%	78	-0.3	204/257/306	102	247	11	0	22%	6%	58	-0.4
✕Nick Hundley 2016 · MLB	32	52→45	48→55	42→40	43	260/302/402	142	313	15	6	22%	6%	97	+1.1	251/295/414	163	307	18	4	23%	6%	98	+1.2	243/288/414	171	299	19	1	25%	6%	97	+0.6
✕P.J. Higgins 2024 · MLB	31	50→54	45	49→40	47	245/310/374	129	313	13	4	25%	8%	94	+0.9	212/262/303	91	278	8	2	25%	6%	59	-1.6	196/245/268	72	256	6	0	25%	5%	43	-2.0
✕Andy Ibáñez 2024 · MLB	31	50→56	49→50	48→45	48	249/302/400	151	280	16	6	18%	7%	97	+1.1	238/292/365	127	281	13	8	20%	6%	85	+0.2	228/279/331	103	270	11	8	19%	5%	72	-0.4
✕Stephen Vogt 2017 · MLB	32	50→59	52→60	42→40	50	257/313/426	170	280	19	2	17%	7%	107	+1.9	245/301/428	183	275	21	4	19%	7%	103	+1.6	227/291/414	187	259	22	2	22%	8%	97	+0.6
✕John Buck 2012 · MLB	32	48→53	53→60	41→30	46	248/308/421	173	292	22	2	23%	7%	105	+1.7	225/296/374	149	272	19	3	24%	8%	90	+0.6	214/286/349	136	261	18	1	25%	8%	81	-0.0
✕Pedro Severino 2023 · MLB	30	50→49	47→50	49→45	46	248/306/380	132	316	14	5	26%	7%	94	+0.9	224/280/354	130	280	14	11	25%	7%	78	-0.3	192/244/301	110	234	13	13	24%	6%	49	-1.1
✕Gio Urshela 2023 · MLB	31	55→61	48→55	50→40	47	273/322/421	147	319	16	3	20%	7%	109	+2.0	263/306/379	116	307	11	4	18%	6%	93	+0.8	256/296/352	96	301	8	2	17%	5%	83	+0.1
✕Tim Beckham 2021 · MLB	31	46→55	55	39→50	43	238/296/424	186	300	22	5	28%	7%	101	+1.4	249/299/400	151	324	19	7	28%	6%	96	+1.0	255/299/384	129	337	17	4	28%	5%	89	+0.2

Luis Torrens

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps