Gary Sánchez

C Milwaukee Brewers

Age 34 R/R 6'2" / 251 lbs MLB HR +10%K +6% Svc 10.291 · 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	31	INTLLeones del Es…	47	.139/.326/.472	4	0	121	—
2024	31	MLBMIL	280	.220/.310/.392	11	0	97	1.3
2025	32	AAA/INTL2 orgs	134	.289/.396/.561	9	0	132	—	.294/.368/.549
2025	32	MLBBAL	101	.231/.300/.418	5	0	97	0.3
2026	33	MLBMIL	275	.209/.350/.422	12	0	119	1.5
2027PROJ	34	MLBMIL	152	.224/.336/.441	7	1	118	0.8
2028PROJ	35	MLBMIL	100	.212/.323/.414	5	0	108	-0.2

Last 3 seasons WAR 3.1 · Next 2 projected WAR 0.5Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service10.291First FA2028Options2

2027Ext / FA-deal$4M

Skills · percentileStatcast 2024-2026

xwOBA63

Barrel%60

Bat Spd59

Avg EV57

Speed10

Form.218/.340/.433 · rolling true talent (60d window) · proj .224/.334/.436

CompsRobinson Chirinos (age 33) · Greg Norton (age 35) · Dan Uggla (age 33)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 121118vR 107

AVG/OBP/SLG.224 / .336 / .441

PA152

HR7

K%23

BB%12

BABIP244

ISO217

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Recent Form · Splits · Contract

ToolsStatcast %ile · 2024-2026

CONTACT

xAVG

150.222

POWER

Barrel%

609.7

Avg EV

5789.6

Bat Spd

5972.3

SPEED

Sprint

1024.5

Recent Formrolling true talent ⓘ

K%25%▼▼30% over 37 PA (60d) · proj 23%

BB%14%▲▲19% over 37 PA (60d) · proj 13%

ISO.215·.233 over 30 AB (60d) · proj .212

BABIP.249·.294 over 17 BIP (60d) · proj .248

SLASH.218/.340/.433·proj .224/.334/.436

Platoon Splits2024-2026 · 450 PA

vs LHP

vs RHP

Edge

181

269

—

wRC+

117

102

◀L

wOBA

341

320

◀L

ISO

226

185

◀◀L

BABIP

277

257

◀L

25.4%

27.1%

◀L

BB%

9.9%

9.7%

—

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

Status FA

MLB Debut 2016

Service 10.291 yrs.days

Team Control Through 2027

First FA Year 2028

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$4M	+0.7	$3M	-$2M
Totals		$4M		$3M	-$2M

Options · projected decision
2027	MUTUAL OPT	$4.5M / $0.0M buyout	DECLINE
2028	MUTUAL OPT	$4.5M / $0.0M buyout	DECLINE

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)
2010	17	ROK	GCL Yankees	—	136	119	42	11	0	6	11	28	4	1	1	353	425	597	1.022	244	414	21	8	440	110	—	—	—	—	—	—
2011	18	A	Charleston RiverDogs	—	343	301	77	16	1	17	36	93	2	2	1	256	339	485	824	229	308	27	10	359	72	—	—	—	—	—	—
2011	18	INTL	Leones del Escogido	—	22	20	6	0	0	0	2	9	0	0	0	300	364	300	664		545	41	9	310	96	—	—	—	—	—	—
2012	19	A+	Tampa Yankees	—	185	172	48	10	1	5	10	41	3	4	0	279	330	436	766	157	341	22	5	341	70	—	—	—	—	—	—
2012	19	A	Charleston RiverDogs	—	289	263	78	19	0	13	22	65	2	11	4	297	355	517	873	221	348	22	8	380	86	—	—	—	—	—	—
2012	19	INTL	Leones del Escogido	—	23	21	5	1	0	1	2	6	0	0	0	238	304	429	733	190	286	26	9	325	106	—	—	—	—	—	—
2013	20	AA	Trenton Thunder	—	110	92	23	6	0	2	13	16	4	0	0	250	367	380	747	130	280	15	12	340	79	—	—	—	—	—	—
2013	20	A+	Tampa Yankees	—	399	362	92	21	0	13	28	71	5	3	1	254	316	420	736	166	280	18	7	325	79	—	—	—	—	—	—
2013	20	INTL	Toros del Este	—	32	28	5	1	0	0	3	9	0	1	0	179	258	214	472	36	263	28	9	219	34	—	—	—	—	—	—
2014	21	AA	Trenton Thunder	—	477	429	116	19	0	13	43	91	2	1	1	270	340	406	745	135	314	19	9	333	93	—	—	—	—	—	—
2015	22	AAA	Scranton/Wilkes-Barre RailRiders	—	146	132	39	9	0	6	11	28	1	1	2	295	354	500	854	205	330	19	8	371	110	—	—	—	—	—	—
2015	22	AA	Trenton Thunder	—	254	233	61	14	0	12	18	50	2	6	0	262	320	476	797	215	285	20	7	349	76	—	—	—	—	—	—
2015	22	INTL	Surprise Saguaros	—	98	88	26	6	1	7	8	19	1	4	2	295	361	625	986	330	302	19	8	419	170	—	—	—	—	—	—
2016	23	MLB	New York Yankees	—	229	201	60	12	0	20	24	57	2	1	0	299	379	657	1.036	358	317	25	10	439	172	+20	+0	+6	+10	+5	4.1
2016	23	AAA	Scranton/Wilkes-Barre RailRiders	—	313	284	80	21	1	10	21	45	5	7	1	282	342	468	810	187	302	14	7	355	97	—	—	—	—	—	—
2017	24	MLB	New York Yankees	—	525	471	131	20	0	33	40	120	10	2	1	278	347	531	878	253	304	23	8	381	138	+24	+0	+9	+9	+11	5.5
2018	25	MLB	New York Yankees	—	374	323	60	17	0	18	46	94	3	1	0	186	293	406	699	220	197	25	12	311	93	-3	+0	+3	+7	+8	1.6
2018	25	AAA	Scranton/Wilkes-Barre RailRiders	—	28	28	5	0	0	4	0	10	0	0	0	179	179	607	786	429	71	36	0	330	45	—	—	—	—	—	—
2019	26	MLB	New York Yankees	—	446	396	92	12	1	34	40	125	9	0	1	232	317	525	842	293	244	28	9	366	124	+13	-0	+1	+8	+10	3.1
2020	27	MLB	New York Yankees	—	178	156	23	4	0	10	18	64	4	0	0	147	253	365	618	218	159	36	10	279	70	-6	+0	+1	+4	+4	0.3
2020	27	INTL	Toros del Este	—	62	53	13	4	0	2	6	19	3	0	0	245	355	434	789	189	344	31	10	355	127	—	—	—	—	—	—
2021	28	MLB	New York Yankees	—	440	383	78	13	1	23	52	121	5	0	0	204	307	423	730	219	230	28	12	326	99	-1	+0	-1	+8	+10	1.6
2022	29	MLB	Minnesota Twins	—	471	419	86	24	0	16	40	136	7	2	0	205	285	377	662	172	257	29	8	295	85	-8	+0	+9	+8	+10	2.0
2023	30	MLB	San Diego Padres	—	267	240	52	9	0	19	21	67	4	0	0	217	291	492	782	275	212	25	8	339	115	+5	+0	+6	+7	+6	2.3
2023	30	AAA	Syracuse Mets	—	106	81	17	3	0	1	20	29	4	1	0	210	390	284	674	74	308	27	19	326	57	—	—	—	—	—	—
2024	31	MLB	Milwaukee Brewers	—	280	245	54	7	1	11	27	76	5	0	0	220	310	392	702	171	267	27	10	313	97	-1	+0	+2	+6	+6	1.3
2024	31	INTL	Leones del Escogido	—	47	36	5	0	0	4	8	12	2	0	0	139	326	472	798	333	48	26	17	346	121	—	—	—	—	—	—
2025	32	MLB	Baltimore Orioles	—	101	91	21	2	0	5	4	27	5	0	0	231	300	418	718	187	267	27	4	318	97	-0	+0	-4	+4	+2	0.3
2025	32	AAA	Norfolk Tides	—	57	49	18	1	0	6	5	11	3	0	0	367	456	755	1.211	388	375	19	9	516	148	—	—	—	—	—	—
2025	32	INTL	Gigantes del Cibao	—	77	65	15	1	1	3	8	20	4	0	0	231	351	415	766	185	286	26	10	347	121	—	—	—	—	—	—
2026	33	MLB	Milwaukee Brewers	—	275	225	47	10	1	12	46	59	3	0	0	209	350	422	773	213	226	21	17	347	119	+6	+0	-2	+5	+6	1.5
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3586	3150	704	130	4	201	358	946	57	6	2	223	314	459	773	235	249	26	10	339	116	+68	+0	+31	+76	+78	25.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	17	ROK MLE	GCL Yankees	—	136	124	34	8	0	5	6	40	4	1	1	274	328	460	788	185	345	29	4	331	110	—	—	—	—	—	—
2011	18	A MLE	Charleston RiverDogs	—	343	315	66	13	1	12	22	126	2	2	1	210	265	371	637	162	291	37	6	275	72	—	—	—	—	—	—
2012	19	A+ MLE	Tampa Yankees	—	185	175	39	8	1	4	7	59	3	4	0	223	265	349	613	126	316	32	4	271	70	—	—	—	—	—	—
2012	19	A MLE	Charleston RiverDogs	—	289	271	66	15	0	9	14	89	2	11	4	244	286	399	684	155	323	31	5	295	86	—	—	—	—	—	—
2013	20	AA MLE	Trenton Thunder	—	110	96	21	4	0	2	9	19	4	0	0	219	312	323	635	104	253	17	8	285	79	—	—	—	—	—	—
2013	20	A+ MLE	Tampa Yankees	—	399	368	83	20	0	12	22	97	5	3	1	226	278	378	656	152	265	24	6	285	79	—	—	—	—	—	—
2014	21	AA MLE	Trenton Thunder	—	477	440	115	18	0	11	32	112	2	1	1	261	314	377	692	116	322	23	7	305	93	—	—	—	—	—	—
2015	22	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	146	136	36	8	0	6	7	34	1	1	2	265	306	456	761	191	307	23	5	331	110	—	—	—	—	—	—
2015	22	AA MLE	Trenton Thunder	—	254	240	55	12	0	8	11	64	2	6	0	229	269	379	648	150	276	25	4	281	76	—	—	—	—	—	—
2016	23	MLB MLE	New York Yankees	—	229	203	59	12	0	19	22	57	2	1	0	291	366	631	996	340	317	25	10	422	172	+20	+0	+6	+10	+5	4.1
2016	23	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	313	289	74	17	1	9	16	54	5	7	1	256	306	415	722	159	280	17	5	311	97	—	—	—	—	—	—
2017	24	MLB MLE	New York Yankees	—	525	472	129	20	0	31	39	120	10	2	1	273	342	513	854	239	304	23	7	372	138	+24	+0	+9	+9	+11	5.5
2018	25	MLB MLE	New York Yankees	—	374	323	59	17	0	17	46	94	3	1	0	183	290	393	684	211	197	25	12	305	93	-3	+0	+3	+7	+8	1.6
2018	25	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	28	28	4	0	0	3	0	12	0	0	0	143	143	464	607	321	62	43	0	234	45	—	—	—	—	—	—
2019	26	MLB MLE	New York Yankees	—	446	399	90	12	1	32	37	125	9	0	1	226	306	501	807	276	244	28	8	351	124	+13	-0	+1	+8	+10	3.1
2020	27	MLB MLE	New York Yankees	—	178	156	22	4	0	9	18	64	4	0	0	141	247	340	587	199	159	36	10	272	70	-6	+0	+1	+4	+4	0.3
2021	28	MLB MLE	New York Yankees	—	440	386	77	13	1	22	49	121	5	0	0	199	298	409	707	210	230	28	11	314	99	-1	+0	-1	+8	+10	1.6
2022	29	MLB MLE	Minnesota Twins	—	471	419	86	24	0	16	40	136	7	2	0	205	285	377	662	172	257	29	8	294	85	-8	+0	+9	+8	+10	2.0
2023	30	MLB MLE	San Diego Padres	—	267	240	53	10	0	19	21	67	4	0	0	221	294	500	794	279	212	25	8	339	115	+5	+0	+6	+7	+6	2.3
2023	30	AAA MLE	Syracuse Mets	—	106	87	14	2	0	1	14	36	4	1	0	161	305	218	523	57	262	34	13	252	57	—	—	—	—	—	—
2024	31	MLB MLE	Milwaukee Brewers	—	280	245	53	7	1	10	27	76	5	0	0	216	307	376	682	159	267	27	10	312	97	-1	+0	+2	+6	+6	1.3
2025	32	MLB MLE	Baltimore Orioles	—	101	91	21	2	0	5	4	27	5	0	0	231	300	418	718	187	267	27	4	312	97	-0	+0	-4	+4	+2	0.3
2025	32	AAA MLE	Norfolk Tides	—	57	51	15	1	0	4	3	14	3	0	0	294	368	549	917	255	321	25	5	387	148	—	—	—	—	—	—
2026	33	MLB MLE	Milwaukee Brewers	—	275	226	47	11	1	11	45	59	3	0	0	208	347	412	758	204	226	21	16	344	119	+6	+0	-2	+5	+6	1.5
2010	17	ROK MLE	GCL Yankees	—	136	124	34	8	0	5	6	40	4	1	1	274	328	460	788	185	358	29	4	331	110	—	—	—	—	—	—
2010	17	ROK RAW	GCL Yankees	—	136	119	42	11	0	6	11	28	4	1	1	353	425	597	1.022	244	414	21	8	440	110	—	—	—	—	—	—
2011	18	A MLE	2 teams	—	365	335	71	14	1	13	24	134	2	2	1	212	269	376	645	164	302	37	7	275	72	—	—	—	—	—	—
2011	18	A RAW	2 teams	—	365	321	83	16	1	17	38	102	2	2	1	259	341	474	814	215	320	28	10	356	72	—	—	—	—	—	—
2012	19	A MLE	3 teams	—	497	468	111	24	1	14	22	156	5	15	4	237	279	382	661	145	323	31	4	286	79	—	—	—	—	—	—
2012	19	A RAW	3 teams	—	497	456	131	30	1	19	34	112	5	15	4	287	343	482	826	195	343	23	7	363	79	—	—	—	—	—	—
2013	20	A+ MLE	3 teams	—	541	493	111	26	0	15	33	124	9	4	1	225	286	369	655	144	267	23	6	285	79	—	—	—	—	—	—
2013	20	A+ RAW	3 teams	—	541	482	120	28	0	15	44	96	9	4	1	249	323	400	724	151	279	18	8	322	79	—	—	—	—	—	—
2014	21	AA MLE	Trenton Thunder	—	477	440	115	18	0	11	32	112	2	1	1	261	314	377	692	116	325	23	7	305	93	—	—	—	—	—	—
2014	21	AA RAW	Trenton Thunder	—	477	429	116	19	0	13	43	91	2	1	1	270	340	406	745	135	314	19	9	333	93	—	—	—	—	—	—
2015	22	AA MLE	3 teams	—	498	467	115	26	0	18	23	122	4	11	4	246	287	418	705	171	293	24	5	299	89	—	—	—	—	—	—
2015	22	AA RAW	3 teams	—	498	453	126	29	1	25	37	97	4	11	4	278	338	512	850	234	301	19	7	369	89	—	—	—	—	—	—
2016	23	AAA MLE	2 teams	—	542	492	133	29	1	28	38	111	7	8	1	270	331	504	836	234	293	20	7	358	128	—	—	—	—	—	—
2016	23	AAA RAW	2 teams	—	542	485	140	33	1	30	45	102	7	8	1	289	358	546	904	258	307	19	8	391	128	—	—	—	—	—	—
2017	24	MLB MLE	New York Yankees	—	525	472	129	20	0	31	39	120	10	2	1	273	342	513	854	239	302	23	7	372	138	+24	+0	+9	+9	+11	5.5
2017	24	MLB RAW	New York Yankees	—	525	471	131	20	0	33	40	120	10	2	1	278	347	531	878	253	304	23	8	381	138	+24	+0	+9	+9	+11	5.5
2018	25	MLB MLE	2 teams	—	402	351	63	17	0	20	46	106	3	1	0	179	280	399	679	219	189	26	11	300	89	-5	+0	+3	+7	+9	1.5
2018	25	MLB RAW	2 teams	—	402	351	65	17	0	22	46	104	3	1	0	185	285	422	707	236	189	26	11	312	89	-5	+0	+3	+7	+9	1.5
2019	26	MLB MLE	New York Yankees	—	446	399	90	12	1	32	37	125	9	0	1	226	306	501	807	276	239	28	8	351	124	+13	-0	+1	+8	+10	3.1
2019	26	MLB RAW	New York Yankees	—	446	396	92	12	1	34	40	125	9	0	1	232	317	525	842	293	244	28	9	366	124	+13	-0	+1	+8	+10	3.1
2020	27	MLB MLE	2 teams	—	240	209	30	5	0	13	24	86	7	0	0	144	254	354	608	211	155	36	10	272	70	-9	+0	+1	+4	+5	0.2
2020	27	MLB RAW	2 teams	—	240	209	36	8	0	12	24	83	7	0	0	172	279	383	662	211	211	35	10	298	70	-9	+0	+1	+4	+5	0.2
2021	28	MLB MLE	New York Yankees	—	440	386	77	13	1	22	49	121	5	0	0	199	298	409	707	210	226	28	11	314	99	-1	+0	-1	+8	+10	1.6
2021	28	MLB RAW	New York Yankees	—	440	383	78	13	1	23	52	121	5	0	0	204	307	423	730	219	230	28	12	326	99	-1	+0	-1	+8	+10	1.6
2022	29	MLB MLE	Minnesota Twins	—	471	419	86	24	0	16	40	136	7	2	0	205	285	377	662	172	257	29	8	294	85	-8	+0	+9	+8	+10	2.0
2022	29	MLB RAW	Minnesota Twins	—	471	419	86	24	0	16	40	136	7	2	0	205	285	377	662	172	257	29	8	295	85	-8	+0	+9	+8	+10	2.0
2023	30	MLB MLE	2 teams	—	373	327	67	12	0	19	35	103	8	1	0	205	297	416	713	211	231	28	9	314	99	-1	+0	+6	+7	+8	2.0
2023	30	MLB RAW	2 teams	—	373	321	69	12	0	20	41	96	8	1	0	215	319	439	758	224	236	26	11	335	99	-1	+0	+6	+7	+8	2.0
2024	31	MLB MLE	2 teams	—	327	284	63	9	1	12	32	89	7	0	0	222	316	387	703	165	273	27	10	312	97	-1	+0	+2	+6	+7	1.4
2024	31	MLB RAW	2 teams	—	327	281	59	7	1	15	35	88	7	0	0	210	313	402	715	192	242	27	11	318	97	-1	+0	+2	+6	+7	1.4
2025	32	MLB MLE	3 teams	—	235	211	52	4	0	13	11	60	12	0	0	246	321	450	771	204	281	26	5	339	115	+4	+0	-4	+4	+5	1.0
2025	32	MLB RAW	3 teams	—	235	205	54	4	1	14	17	58	12	0	0	263	355	498	852	234	299	25	7	375	115	+4	+0	-4	+4	+5	1.0
2026	33	MLB MLE	Milwaukee Brewers	—	275	226	47	11	1	11	45	59	3	0	0	208	347	412	758	204	229	21	16	344	119	+6	+0	-2	+5	+6	1.5
2026	33	MLB RAW	Milwaukee Brewers	—	275	225	47	10	1	12	46	59	3	0	0	209	350	422	773	213	226	21	17	347	119	+6	+0	-2	+5	+6	1.5
2010	17	ROK MLE	GCL Yankees	—	136	125	34	8	0	5	6	40	4	1	1	272	328	456	784	184	345	29	4	331	110	—	—	—	—	—	—
2011	18	A MLE	2 teams	—	365	336	71	14	1	13	24	134	2	2	1	211	269	375	644	164	291	37	7	275	72	—	—	—	—	—	—
2012	19	A MLE	3 teams	—	497	467	111	24	1	14	22	156	5	15	4	238	279	383	662	146	320	31	4	286	79	—	—	—	—	—	—
2013	20	A+ MLE	3 teams	—	541	494	111	26	0	15	33	124	9	4	1	225	286	368	654	144	262	23	6	285	79	—	—	—	—	—	—
2014	21	AA MLE	Trenton Thunder	—	477	440	115	18	0	11	32	112	2	1	1	261	314	377	692	116	322	23	7	305	93	—	—	—	—	—	—
2015	22	AA MLE	3 teams	—	498	468	115	26	0	18	23	122	4	11	4	246	287	417	704	171	287	24	5	299	89	—	—	—	—	—	—
2016	23	AAA MLE	2 teams	—	542	492	133	29	1	28	38	111	7	8	1	270	331	504	836	234	296	20	7	358	128	—	—	—	—	—	—
2017	24	MLB MLE	New York Yankees	—	525	471	129	20	0	31	39	120	10	2	1	274	342	514	855	240	304	23	7	372	138	—	—	—	—	—	—
2018	25	MLB MLE	2 teams	—	402	350	63	17	0	20	46	106	3	1	0	180	280	400	680	220	188	26	11	300	89	—	—	—	—	—	—
2019	26	MLB MLE	New York Yankees	—	446	397	90	12	1	32	37	125	9	0	1	227	306	504	809	277	244	28	8	351	124	—	—	—	—	—	—
2020	27	MLB MLE	2 teams	—	240	207	30	5	0	13	24	86	7	0	0	145	254	357	612	213	159	36	10	272	70	—	—	—	—	—	—
2021	28	MLB MLE	New York Yankees	—	440	383	77	13	1	22	49	121	5	0	0	201	298	413	710	211	230	28	11	314	99	—	—	—	—	—	—
2022	29	MLB MLE	Minnesota Twins	—	471	421	86	24	0	16	40	136	7	2	0	204	285	375	661	171	257	29	8	294	85	—	—	—	—	—	—
2023	30	MLB MLE	2 teams	—	373	327	67	12	0	19	35	103	8	1	0	205	297	416	713	211	226	28	9	314	99	—	—	—	—	—	—
2024	31	MLB MLE	2 teams	—	327	285	63	9	1	12	32	89	7	0	0	221	316	386	702	165	267	27	10	312	97	—	—	—	—	—	—
2025	32	MLB MLE	3 teams	—	235	210	52	4	0	13	11	60	12	0	0	248	321	452	773	205	286	26	5	339	115	—	—	—	—	—	—
2026	33	MLB MLE	Milwaukee Brewers	—	275	225	47	11	1	11	45	59	3	0	0	209	347	413	760	204	226	21	16	344	119	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	31	MLB MLE	2 teams	—	327	285	63	9	1	12	32	89	7	0	0	221	316	386	702	165	267	27	10	312	97	—	—	—	—	—	—
2025	32	MLB MLE	3 teams	—	235	210	52	4	0	13	11	60	12	0	0	248	321	452	773	205	286	26	5	339	115	—	—	—	—	—	—
2026	33	MLB MLE	Milwaukee Brewers	—	275	225	47	11	1	11	45	59	3	0	0	209	347	413	760	204	226	21	16	344	119	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	34	MLB MLE	MIL	100%	245	208	47	9	1	11	31	56	4	1	1	224	336	436	773	212	248	23	13	343	118	+5	-0	-3	+4	+5	0.7
▸ 2027 — real world (MLB)
2027	34	MLB CTX	MIL	100%	152	129	29	5	1	7	19	35	3	1	0	224	336	441	776	217	244	23	12	344	118	+3	+0	-2	+3	+3	0.8
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	35	MLB MLE	MIL	100%	100	86	17	3	0	4	12	24	2	0	0	213	324	410	734	197	238	24	12	328	108	+1	+0	-7	+2	+2	-0.2
2028	35	MLB CTX	MIL	100%	100	86	18	3	0	5	12	24	2	0	0	212	323	414	738	202	234	24	12	329	108	+1	+0	-7	+2	+2	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3686	3236	722	133	4	206	370	970	59	6	2	223	314	458	772	235	248	26	10	339	100	+69	+0	+24	+78	+80	25.6
/ 162G	—	A+C		—	650	571	127	23	1	36	65	171	10	1	0	222	313	455	768	233	247	26	10	339	100	+12	+0	+4	+14	+14	4.5
Career	—	MLE		—	7042	6318	1440	280	8	304	567	1863	109	49	15	228	303	419	722	191	271	26	8	316	100	+72	+1	+22	+81	+83	26.3
/ 162G	—	MLE		—	650	583	133	26	1	28	52	172	10	5	1	228	302	420	722	192	271	26	8	316	100	+12	+0	+4	+14	+14	4.5

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.

2025 AAANorfolk Tides · 57 PAwOBA .501 → .387 (−114)K% 19.3% → 23.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.30%	÷0.967	×1.200	—	—	23.94%
BB% (unintentional) /PA	8.77%	÷1.063	×0.690	—	×0.942	5.37%
HBP% /PA	5.26%	—	×0.940	—	×0.942	4.66%
Singles /BIP	28.95%	÷0.959	×0.930	—	×0.942	26.43%
Doubles /BIP	2.63%	÷0.978	×0.830	—	×0.942	2.10%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.942	0.00%
Home runs /BIP	15.79%	÷0.945	×0.700	—	×0.942	11.01%

Factors used: league row International League. Park (home-season share, regressed): HR 89, 1B 92, 2B 96, 3B 80, K 93, BB 113 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average).

Result: wOBA .501 → .387; ISO .388 → .270; BABIP .375 → .321. 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 AAASyracuse Mets · 106 PAwOBA .323 → .252 (−70)K% 27.4% → 34.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.36%	÷0.961	×1.200	—	—	34.18%
BB% (unintentional) /PA	18.87%	÷0.967	×0.690	—	×0.962	12.95%
HBP% /PA	3.77%	—	×0.940	—	×0.962	3.41%
Singles /BIP	25.00%	÷0.997	×0.930	×0.962	×0.962	21.59%
Doubles /BIP	5.77%	÷0.933	×0.830	×0.962	×0.962	4.75%
Triples /BIP	0.00%	÷1.150	×0.970	×0.962	×0.962	0.00%
Home runs /BIP	1.92%	÷1.003	×0.700	—	×0.962	1.29%

Factors used: league row International League. Park (home-season share, regressed): HR 101, 1B 99, 2B 87, 3B 130, K 92, BB 93 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.962.

Result: wOBA .323 → .252; ISO .074 → .056; BABIP .308 → .262. 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 AAAScranton/Wilkes-Barre RailRiders · 28 PAwOBA .318 → .234 (−84)K% 35.7% → 42.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.71%	÷1.002	×1.200	—	—	42.79%
BB% (unintentional) /PA	0.00%	÷1.034	×0.690	—	×1.018	0.00%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	5.56%	÷1.032	×0.930	—	×1.018	5.10%
Doubles /BIP	0.00%	÷1.004	×0.830	—	×1.018	0.00%
Triples /BIP	0.00%	÷1.130	×0.970	—	×1.018	0.00%
Home runs /BIP	22.22%	÷1.046	×0.840	—	×1.018	18.17%

Factors used: league row IL. Park (home-season share, regressed): HR 109, 1B 106, 2B 101, 3B 126, K 100, BB 107 — 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 .318 → .234; ISO .429 → .312; BABIP .071 → .062. 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 AAAScranton/Wilkes-Barre RailRiders · 313 PAwOBA .349 → .311 (−38)K% 14.4% → 17.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.38%	÷0.994	×1.200	—	—	17.35%
BB% (unintentional) /PA	6.71%	÷0.977	×0.690	—	×1.048	4.97%
HBP% /PA	1.60%	—	×0.940	—	×1.048	1.57%
Singles /BIP	20.08%	÷0.991	×0.930	×0.996	×1.048	19.69%
Doubles /BIP	8.79%	÷1.059	×0.830	×0.996	×1.048	7.19%
Triples /BIP	0.42%	÷0.900	×0.970	×0.996	×1.048	0.47%
Home runs /BIP	4.18%	÷0.996	×0.840	—	×1.048	3.70%

Factors used: league row IL. Park (home-season share, regressed): HR 99, 1B 98, 2B 112, 3B 80, K 99, BB 95 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.996.

Result: wOBA .349 → .311; ISO .187 → .161; BABIP .302 → .280. 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).

2015 AATrenton Thunder · 254 PAwOBA .339 → .281 (−58)K% 19.7% → 25.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.69%	÷0.950	×1.220	—	—	25.27%
BB% (unintentional) /PA	6.69%	÷1.067	×0.700	—	×1.027	4.51%
HBP% /PA	0.79%	—	×0.850	—	×1.027	0.69%
Singles /BIP	19.13%	÷0.977	×0.970	×1.004	×1.027	19.56%
Doubles /BIP	7.65%	÷0.978	×0.860	×1.004	×1.027	6.93%
Triples /BIP	0.00%	÷1.150	×0.950	×1.004	×1.027	0.00%
Home runs /BIP	6.56%	÷1.153	×0.780	—	×1.027	4.56%

Factors used: league row EL. Park (home-season share, regressed): HR 131, 1B 95, 2B 96, 3B 130, K 90, BB 114 — 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 ×1.004.

Result: wOBA .339 → .281; ISO .215 → .156; BABIP .285 → .276. 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).

2015 AAAScranton/Wilkes-Barre RailRiders · 146 PAwOBA .366 → .331 (−34)K% 19.2% → 23.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.18%	÷0.991	×1.200	—	—	23.23%
BB% (unintentional) /PA	7.53%	÷1.139	×0.690	—	×1.050	4.79%
HBP% /PA	0.68%	—	×0.940	—	×1.050	0.68%
Singles /BIP	23.08%	÷1.011	×0.930	×0.963	×1.050	21.47%
Doubles /BIP	8.65%	÷0.903	×0.830	×0.963	×1.050	8.04%
Triples /BIP	0.00%	÷1.150	×0.970	×0.963	×1.050	0.00%
Home runs /BIP	5.77%	÷0.878	×0.840	—	×1.050	5.80%

Factors used: league row IL. Park (home-season share, regressed): HR 76, 1B 102, 2B 81, 3B 130, K 98, BB 128 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.963.

Result: wOBA .366 → .331; ISO .205 → .201; BABIP .330 → .307. 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 AATrenton Thunder · 477 PAwOBA .326 → .305 (−22)K% 19.1% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.08%	÷0.994	×1.220	—	—	23.41%
BB% (unintentional) /PA	9.01%	÷0.977	×0.700	—	×1.042	6.73%
HBP% /PA	0.42%	—	×0.850	—	×1.042	0.37%
Singles /BIP	24.85%	÷1.000	×0.970	×1.036	×1.042	26.03%
Doubles /BIP	5.62%	÷0.972	×0.860	×1.036	×1.042	5.37%
Triples /BIP	0.00%	÷1.150	×0.950	×1.036	×1.042	0.00%
Home runs /BIP	3.85%	÷0.910	×0.780	—	×1.042	3.44%

Factors used: league row EL. Park (home-season share, regressed): HR 82, 1B 100, 2B 94, 3B 130, K 99, BB 95 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.036.

Result: wOBA .326 → .305; ISO .135 → .121; BABIP .314 → .322. 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).

2013 A+Tampa Yankees · 399 PAwOBA .318 → .285 (−34)K% 17.8% → 24.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.79%	÷1.041	×1.420	—	—	24.26%
BB% (unintentional) /PA	6.77%	÷0.954	×0.750	—	×1.027	5.46%
HBP% /PA	1.25%	—	×0.930	—	×1.027	1.20%
Singles /BIP	19.93%	÷1.005	×0.920	×0.989	×1.027	18.53%
Doubles /BIP	7.22%	÷0.974	×0.960	×0.989	×1.027	7.22%
Triples /BIP	0.00%	÷0.970	×0.810	×0.989	×1.027	0.00%
Home runs /BIP	4.47%	÷0.929	×0.880	—	×1.027	4.35%

Factors used: league row FSL. Park (home-season share, regressed): HR 86, 1B 101, 2B 95, 3B 94, K 108, BB 91 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.989.

Result: wOBA .318 → .285; ISO .166 → .154; BABIP .280 → .265. 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
#1Alex Avilalast yr '21 career totals — 13 seasons, 3,638 PA	5.5	3,638	105	8	233	348	393	+65	+46	26.7	24.5
/162	664	19	1	+11.9	+8.5	4.9	pk7: 22
#2Todd Hundley'90-'03 * career totals — 13 seasons, 4,305 PA	6.5	4,305	202	14	225*	308*	440*	+72	-0	23.1	23.2
/162	664	31	2	+11.2	-0.1	3.6	pk7: 23
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 13 projected seasons	5.8	3,838	212	7	225	313	460	+65	+36	24.7	22.4
/162	664	37	1	+11.2	+6.2	4.3	pk7: 20
#3Charles Johnson'94-'05 * career totals — 11 seasons, 4,385 PA	6.6	4,385	167	6	235*	316*	421*	+78	+0	21.1	19.6
/162	664	25	1	+11.8	+0.0	3.2	pk7: 18
#4Mike Macfarlane'87-'99 * career totals — 12 seasons, 4,043 PA	6.1	4,043	129	12	244*	313*	436*	+65	+0	19.1	17.7
/162	664	21	2	+10.6	+0.0	3.1	pk7: 16
#5John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#6Kelly Shoppachlast yr '13 career totals — 8 seasons, 1,839 PA	2.8	1,839	70	1	225	314	417	+33	+14	11.3	11.5
/162	664	25	0	+11.9	+5.0	4.1	pk7: 12

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
Gary Sánchez (OGILVIE)	34	—	—	—	—	222/334/432	210	248	7	1	23%	13%	118	+0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Robinson Chirinos 2017 · MLB	33	43→46	56→60	40→50	49	229/308/427	198	263	24	3	23%	8%	107	+1.8	236/339/446	210	295	26	4	28%	10%	122	+3.0	229/342/435	206	294	26	2	29%	11%	120	+1.8
✕Greg Norton 2007 · MLB	35	49	56→60	33→40	51	258/327/448	189	291	25	3	21%	9%	118	+2.6	250/339/395	145	302	16	5	21%	12%	110	+2.1	236/342/350	113	292	11	2	21%	14%	102	+0.5
✕Dan Uggla 2013 · MLB	33	45→55	58→65	40→45	55	240/335/441	201	281	26	4	25%	12%	120	+2.8	200/308/365	165	257	21	4	29%	12%	93	+0.8	175/292/330	155	225	20	1	31%	13%	80	-0.1
✕Kurt Suzuki 2020 · MLB	36	50→60	58→60	40→45	50	265/327/467	202	261	27	2	12%	6%	123	+3.0	241/313/392	151	262	18	4	16%	7%	100	+1.3	217/297/333	116	245	13	1	17%	7%	82	+0.0
●Robin Ventura 2001 · MLB	34	44→47	57→55	38→40	58	233/320/431	197	241	25	5	17%	11%	112	+2.2	237/337/424	187	256	24	4	18%	13%	116	+2.5	236/341/416	180	257	24	2	18%	14%	117	+2.2
✕Todd Frazier 2020 · MLB	34	44→52	55→60	42→50	52	235/322/420	185	268	24	6	22%	10%	110	+2.1	235/309/391	156	280	18	6	22%	8%	99	+1.2	243/309/394	151	308	14	3	24%	6%	99	+0.4
✕Charles Johnson 2004 · MLB	33	44→54	55→60	37→30	52	232/308/424	192	263	23	3	22%	10%	105	+1.7	236/333/417	181	284	20	5	23%	12%	113	+2.3	233/345/424	191	288	22	3	25%	13%	120	+1.7
✕Mark Reynolds 2018 · MLB	34	51→56	54→65	40→50	51	255/336/436	181	327	23	3	28%	10%	118	+2.7	233/319/411	178	307	23	5	30%	11%	107	+1.8	206/298/378	173	267	23	3	31%	11%	93	+0.3
✕Luis Valbuena 2018 · MLB	32	41→51	59→60	38→50	54	226/313/435	209	256	28	3	24%	11%	110	+2.1	220/284/386	166	289	21	7	30%	8%	88	+0.4	196/244/328	132	273	18	6	35%	6%	60	-0.8
✕Eduardo Rios 2007 · AAA	34	47	58→65	41→45	47	250/296/453	203	258	27	7	16%	6%	108	+1.9	256/300/424	168	277	22	11	17%	5%	102	+1.5	292/322/421	129	309	21	11	13%	3%	108	+0.6
✕Mitch Garver 2024 · MLB	33	47→46	59→70	43→40	55	250/343/459	210	295	28	3	25%	12%	126	+3.2	210/309/375	165	269	21	4	29%	12%	95	+1.0	184/291/329	146	239	19	3	30%	12%	80	-0.1
✕Morgan Ensberg 2008 · MLB	32	46→55	59→60	36→45	63	246/355/459	214	266	27	3	20%	14%	130	+3.5	214/296/356	142	262	17	5	24%	10%	86	+0.3	167/245/260	93	213	11	2	27%	9%	44	-1.3
✕Chris Iannetta 2018 · MLB	35	44→54	55→60	43→45	54	231/325/416	186	282	23	2	26%	11%	110	+2.1	226/320/395	169	287	20	3	27%	11%	103	+1.6	206/309/357	151	264	17	0	27%	11%	94	+0.4
●Mike Piazza 2004 · MLB	35	52→57	63→70	36→30	56	278/349/510	232	281	31	2	15%	10%	140	+4.2	262/331/455	193	275	25	2	15%	9%	121	+2.9	261/329/455	194	271	26	0	15%	9%	121	+2.2
●Casey Blake 2006 · MLB	32	48→54	55→60	37→45	50	252/320/444	192	281	23	5	20%	8%	115	+2.4	264/330/447	183	303	21	6	20%	8%	118	+2.7	267/336/442	175	310	19	3	20%	8%	120	+2.8
✕Marcus Thames 2009 · MLB	32	42→46	69→70	37→40	44	247/300/510	263	270	39	4	26%	7%	123	+3.0	247/308/444	197	293	28	3	25%	8%	110	+2.1	252/319/431	178	303	26	0	25%	8%	111	+1.1
●Jeromy Burnitz 2002 · MLB	33	44→51	61→65	38→45	57	241/336/472	231	260	29	3	21%	12%	127	+3.3	240/313/455	215	267	29	7	22%	9%	115	+2.4	256/317/483	227	273	31	5	19%	7%	124	+3.0
✕Justin Upton 2021 · MLB	33	43→53	59→65	41→55	49	234/320/437	203	283	28	5	28%	10%	114	+2.3	215/299/394	179	279	24	7	31%	10%	96	+1.0	193/283/365	172	249	24	5	32%	10%	84	+0.1
✕Pat Burrell 2011 · MLB	34	46→54	57→65	40→30	57	242/335/443	201	281	25	2	24%	12%	120	+2.8	246/342/433	187	315	22	5	27%	12%	120	+2.8	233/356/416	183	323	21	0	31%	15%	122	+1.1
✕Eduardo Escobar 2023 · MLB	34	47→57	55→60	43→50	47	246/301/439	193	282	23	2	22%	7%	106	+1.8	237/290/391	154	292	17	6	24%	7%	91	+0.6	224/269/341	117	286	11	4	25%	6%	71	-0.4

Gary Sánchez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps