Christian Vázquez

C Houston Astros

Age 36 R/R 5'8" / 205 lbs MLB HR -6% Svc 12.180 · 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	33	MLBMIN	315	.221/.252/.327	7	3	56	1.1
2025	34	AAA/INTL2 orgs	88	.257/.360/.324	1	2	84	—	.125/.222/.312
2025	34	MLBMIN	214	.189/.274/.274	3	1	58	0.7
2026	35	MLBHOU	266	.207/.262/.322	7	1	59	-0.2
2027PROJ	36	MLBHOU	138	.229/.287/.350	3	1	78	0.4
2028PROJ	37	MLBHOU	80	.217/.274/.323	2	0	67	-0.6

Last 3 seasons WAR 1.6 · Next 2 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service12.180First FA2028Options2

2027Ext / FA-deal$2M

Skills · percentileStatcast 2024-2026

Avg EV22

Barrel%11

xwOBA10

Speed10

Bat Spd10

CompsMatt Treanor (age 36) · Jamie Burke (age 36) · Mike Matheny (age 35)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 7878vR 75

AVG/OBP/SLG.229 / .287 / .350

PA138

HR3

K%20

BB%7

BABIP265

ISO118

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Splits · Contract

ToolsStatcast %ile · 2024-2026

CONTACT

xAVG

100.213

POWER

Barrel%

113.2

Avg EV

2286.9

Bat Spd

1066.0

SPEED

Sprint

1023.4

Platoon Splits2024-2026 · 562 PA

vs LHP

vs RHP

Edge

154

408

—

wRC+

▶▶R

wOBA

226

278

▶▶R

ISO

089

108

▶▶R

BABIP

197

270

▶▶R

21.4%

17.9%

▶▶R

BB%

7.1%

5.6%

◀◀L

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

Status FA

MLB Debut 2014

Service 12.180 yrs.days

Team Control Through 2027

First FA Year 2028

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$2M	+0.3	$1M	-$0.6M
Totals		$2M		$1M	-$0.6M

Options · projected decision
2027	CLUB OPT	$1.8M / $0.0M buyout	DECLINE
2028	CLUB OPT	$7.0M / $0.2M 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)
2008	17	ROK	GCL Red Sox	—	65	58	11	1	0	0	6	17	0	0	0	190	266	207	473	17	268	26	9	223	-8	—	—	—	—	—	—
2009	18	ROK	GCL Red Sox	—	41	36	10	5	0	0	4	7	1	0	0	278	366	417	783	139	345	17	10	353	52	—	—	—	—	—	—
2010	19	A	Greenville Drive	—	299	270	71	11	0	3	23	62	4	3	1	263	330	337	667	74	329	21	8	304	48	—	—	—	—	—	—
2011	20	A	Greenville Drive	—	444	392	111	27	3	18	43	84	5	1	1	283	361	505	866	222	316	19	10	378	85	—	—	—	—	—	—
2012	21	AA	Portland Sea Dogs	—	82	73	15	4	0	0	8	9	0	0	0	205	284	260	544	55	231	11	10	252	42	—	—	—	—	—	—
2012	21	A+	Salem Red Sox	—	342	293	78	17	0	7	40	70	4	2	2	266	362	396	758	130	326	20	12	340	65	—	—	—	—	—	—
2012	21	INTL	Atenienses de Manati	—	71	59	16	5	1	2	11	16	1	0	1	271	394	492	886	220	341	23	15	392	152	—	—	—	—	—	—
2013	22	AA	Portland Sea Dogs	—	399	342	99	19	1	5	47	44	3	7	5	289	380	395	775	105	316	11	12	347	106	—	—	—	—	—	—
2013	22	INTL	Cangrejeros de Santurce	—	124	102	21	8	0	0	16	17	1	0	1	206	319	284	604	78	247	14	13	274	71	—	—	—	—	—	—
2014	23	MLB	Boston Red Sox	—	201	175	42	9	0	1	19	33	0	0	0	240	314	309	623	69	283	16	9	278	66	-8	+0	+21	+11	+4	2.9
2014	23	AAA	Pawtucket Red Sox	—	270	244	68	17	0	3	21	52	1	0	1	279	338	385	724	107	340	19	8	322	87	—	—	—	—	—	—
2014	23	INTL	Senadores de San Juan	—	128	111	32	6	0	1	10	22	4	2	1	288	368	369	737	81	348	17	8	331	110	—	—	—	—	—	—
2015	24	INTL	Cangrejeros de Santurce	—	119	108	29	6	1	0	5	16	1	0	1	269	307	343	650	74	309	13	4	281	76	—	—	—	—	—	—
2016	25	MLB	Boston Red Sox	—	184	172	39	9	1	1	10	39	2	0	0	227	277	308	585	81	288	21	5	267	59	-9	+0	+12	+8	+4	1.5
2016	25	AAA	Pawtucket Red Sox	—	171	152	41	9	0	2	15	31	3	2	0	270	347	368	715	99	325	18	9	325	82	—	—	—	—	—	—
2016	25	INTL	Cangrejeros de Santurce	—	112	97	23	2	0	2	13	12	1	2	1	237	333	320	653	82	253	11	12	301	90	—	—	—	—	—	—
2017	26	MLB	Boston Red Sox	—	345	324	94	18	2	5	17	64	3	7	2	290	331	404	736	114	348	19	5	328	103	+1	+1	+22	+6	+7	3.8
2018	27	MLB	Boston Red Sox	—	269	251	52	10	0	3	13	41	4	4	1	207	257	283	540	76	237	15	5	247	47	-17	+0	+17	+5	+6	1.1
2019	28	MLB	Boston Red Sox	—	521	482	133	26	1	23	33	101	0	4	2	276	322	477	800	201	305	19	6	347	114	+9	+0	+21	+9	+11	5.1
2020	29	MLB	Boston Red Sox	—	189	173	49	9	0	7	16	43	0	4	3	283	344	457	801	173	341	23	8	355	122	+5	-0	+7	+3	+4	1.9
2021	30	MLB	Boston Red Sox	—	498	458	118	23	1	6	33	84	2	8	4	258	310	352	662	94	301	17	7	297	82	-11	+0	+10	+9	+11	2.0
2021	30	INTL	Cangrejeros de Santurce	—	33	31	5	2	0	1	2	4	0	0	0	161	212	323	535	161	154	12	6	238	47	—	—	—	—	—	—
2022	31	MLB	Houston Astros	—	426	398	109	23	0	9	22	69	3	1	4	274	317	399	716	126	310	16	5	318	99	-0	-1	+11	+8	+9	2.6
2023	32	MLB	Minnesota Twins	—	355	327	73	13	0	6	25	82	1	1	0	223	280	318	598	95	279	23	7	271	68	-13	+0	+16	+6	+8	1.7
2024	33	MLB	Minnesota Twins	—	315	294	65	10	0	7	11	65	1	3	1	221	252	327	578	105	257	21	3	252	56	-16	+0	+14	+6	+7	1.1
2025	34	MLB	Minnesota Twins	—	214	190	36	7	0	3	18	35	4	1	1	189	274	274	547	84	214	16	8	254	58	-11	-0	+8	+5	+5	0.7
2025	34	AAA	St. Paul Saints	—	18	15	2	0	0	1	3	1	0	0	0	133	278	333	611	200	77	6	17	282	10	—	—	—	—	—	—
2025	34	INTL	Puerto Rico	—	70	59	17	2	0	0	9	6	0	2	0	288	382	322	704	34	309	9	13	320	103	—	—	—	—	—	—
2026	35	MLB	Houston Astros	—	266	242	50	7	0	7	18	53	0	1	0	207	262	322	584	116	235	20	7	258	59	-13	+0	+1	+5	+6	-0.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3783	3486	860	164	5	78	235	709	20	34	18	247	298	364	662	117	287	19	6	295	86	-65	-0	+159	+82	+82	26.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	17	ROK MLE	GCL Red Sox	—	65	60	9	1	0	0	4	25	0	0	0	150	203	167	370	17	225	38	6	156	-8	—	—	—	—	—	—
2009	18	ROK MLE	GCL Red Sox	—	41	37	7	3	0	0	3	10	1	0	0	189	268	270	539	81	268	24	7	245	52	—	—	—	—	—	—
2010	19	A MLE	Greenville Drive	—	299	277	61	9	0	1	16	82	4	3	1	220	273	264	536	43	297	27	5	239	48	—	—	—	—	—	—
2011	20	A MLE	Greenville Drive	—	444	408	92	21	3	15	27	119	5	1	1	225	282	402	684	176	270	27	6	294	85	—	—	—	—	—	—
2012	21	AA MLE	Portland Sea Dogs	—	82	75	15	3	0	0	6	11	0	0	0	200	259	240	499	40	231	13	7	230	42	—	—	—	—	—	—
2012	21	A+ MLE	Salem Red Sox	—	342	308	67	13	0	7	25	98	4	2	2	218	285	328	613	110	283	29	7	264	65	—	—	—	—	—	—
2013	22	AA MLE	Portland Sea Dogs	—	399	354	103	18	1	4	35	54	3	7	5	291	360	381	741	90	322	14	9	325	106	—	—	—	—	—	—
2014	23	MLB MLE	Boston Red Sox	—	201	176	41	8	0	1	18	33	0	0	0	233	304	295	600	63	283	16	9	266	66	-8	+0	+21	+11	+4	2.9
2014	23	AAA MLE	Pawtucket Red Sox	—	270	252	69	17	0	2	13	64	1	0	1	274	312	365	677	91	349	24	5	297	87	—	—	—	—	—	—
2016	25	MLB MLE	Boston Red Sox	—	184	173	38	8	1	1	9	39	2	0	0	220	266	295	561	75	288	21	5	255	59	-9	+0	+12	+8	+4	1.5
2016	25	AAA MLE	Pawtucket Red Sox	—	171	157	40	8	0	2	10	38	3	2	0	255	312	344	656	89	321	22	6	290	82	—	—	—	—	—	—
2017	26	MLB MLE	Boston Red Sox	—	345	324	91	16	2	5	17	64	3	7	2	281	323	389	712	108	348	19	5	320	103	+1	+1	+22	+6	+7	3.8
2018	27	MLB MLE	Boston Red Sox	—	269	252	50	9	0	3	12	41	4	4	1	198	246	270	516	71	237	15	4	238	47	-17	+0	+17	+5	+6	1.1
2019	28	MLB MLE	Boston Red Sox	—	521	485	130	23	1	24	30	101	0	4	2	268	311	468	779	200	305	19	6	337	114	+9	+0	+21	+9	+11	5.1
2020	29	MLB MLE	Boston Red Sox	—	189	173	48	8	0	7	16	43	0	4	3	277	339	445	784	168	341	23	8	348	122	+5	-0	+7	+3	+4	1.9
2021	30	MLB MLE	Boston Red Sox	—	498	458	114	20	1	6	33	84	2	8	4	249	302	336	638	87	301	17	7	289	82	-11	+0	+10	+9	+11	2.0
2022	31	MLB MLE	Houston Astros	—	426	398	108	22	0	9	22	69	3	1	4	271	314	394	709	123	310	16	5	315	99	-0	-1	+11	+8	+9	2.6
2023	32	MLB MLE	Minnesota Twins	—	355	328	73	13	0	6	24	82	1	1	0	223	278	317	595	95	279	23	7	269	68	-13	+0	+16	+6	+8	1.7
2024	33	MLB MLE	Minnesota Twins	—	315	294	65	10	0	7	11	65	1	3	1	221	252	327	578	105	257	21	3	251	56	-16	+0	+14	+6	+7	1.1
2025	34	MLB MLE	Minnesota Twins	—	214	190	36	7	0	3	18	35	4	1	1	189	274	274	547	84	214	16	8	253	58	-11	-0	+8	+5	+5	0.7
2025	34	AAA MLE	St. Paul Saints	—	18	16	2	0	0	1	2	1	0	0	0	125	222	312	535	188	69	6	11	183	10	—	—	—	—	—	—
2026	35	MLB MLE	Houston Astros	—	266	243	50	7	0	7	17	53	0	1	0	206	258	321	579	115	235	20	6	255	59	-13	+0	+1	+5	+6	-0.2
2008	17	ROK MLE	GCL Red Sox	—	65	60	9	1	0	0	4	25	0	0	0	150	203	167	370	17	257	38	6	156	-8	—	—	—	—	—	—
2008	17	ROK RAW	GCL Red Sox	—	65	58	11	1	0	0	6	17	0	0	0	190	266	207	473	17	268	26	9	223	-8	—	—	—	—	—	—
2009	18	ROK MLE	GCL Red Sox	—	41	37	7	3	0	0	3	10	1	0	0	189	268	270	539	81	259	24	7	245	52	—	—	—	—	—	—
2009	18	ROK RAW	GCL Red Sox	—	41	36	10	5	0	0	4	7	1	0	0	278	366	417	783	139	345	17	10	353	52	—	—	—	—	—	—
2010	19	A MLE	Greenville Drive	—	299	277	61	9	0	1	16	82	4	3	1	220	273	264	536	43	306	27	5	239	48	—	—	—	—	—	—
2010	19	A RAW	Greenville Drive	—	299	270	71	11	0	3	23	62	4	3	1	263	330	337	667	74	329	21	8	304	48	—	—	—	—	—	—
2011	20	A MLE	Greenville Drive	—	444	408	92	21	3	15	27	119	5	1	1	225	282	402	684	176	277	27	6	294	85	—	—	—	—	—	—
2011	20	A RAW	Greenville Drive	—	444	392	111	27	3	18	43	84	5	1	1	283	361	505	866	222	316	19	10	378	85	—	—	—	—	—	—
2012	21	A+ MLE	3 teams	—	495	448	96	19	0	8	36	128	5	2	3	214	280	310	590	96	279	26	7	257	60	—	—	—	—	—	—
2012	21	A+ RAW	3 teams	—	495	425	109	26	1	9	59	95	5	2	3	256	354	386	740	129	309	19	12	333	60	—	—	—	—	—	—
2013	22	AA MLE	2 teams	—	523	461	136	24	2	5	46	71	4	7	6	295	364	388	752	93	337	14	9	325	106	—	—	—	—	—	—
2013	22	AA RAW	2 teams	—	523	444	120	27	1	5	63	61	4	7	6	270	366	369	735	99	301	12	12	329	106	—	—	—	—	—	—
2014	23	AAA MLE	3 teams	—	599	541	139	31	0	4	39	123	5	2	2	257	313	336	649	79	321	21	7	284	78	—	—	—	—	—	—
2014	23	AAA RAW	3 teams	—	599	530	142	32	0	5	50	107	5	2	2	268	337	357	693	89	322	18	8	309	78	—	—	—	—	—	—
2015	24	INTL MLE	Cangrejeros de Santurce	—	119	108	29	6	1	0	5	16	1	0	1	269	307	343	650	74	309	13	4	—	—	—	—	—	—	—	—
2015	24	INTL RAW	Cangrejeros de Santurce	—	119	108	29	6	1	0	5	16	1	0	1	269	307	343	650	74	309	13	4	281	76	—	—	—	—	—	—
2016	25	MLB MLE	3 teams	—	467	434	102	21	1	4	25	101	6	4	1	235	286	316	602	81	297	22	5	272	70	-17	+0	+12	+8	+10	1.4
2016	25	MLB RAW	3 teams	—	467	421	103	20	1	5	38	82	6	4	1	245	316	333	649	88	293	18	8	296	70	-17	+0	+12	+8	+10	1.4
2017	26	MLB MLE	Boston Red Sox	—	345	324	91	16	2	5	17	64	3	7	2	281	323	389	712	108	336	19	5	320	103	+1	+1	+22	+6	+7	3.8
2017	26	MLB RAW	Boston Red Sox	—	345	324	94	18	2	5	17	64	3	7	2	290	331	404	736	114	348	19	5	328	103	+1	+1	+22	+6	+7	3.8
2018	27	MLB MLE	Boston Red Sox	—	269	252	50	9	0	3	12	41	4	4	1	198	246	270	516	71	226	15	4	238	47	-17	+0	+17	+5	+6	1.1
2018	27	MLB RAW	Boston Red Sox	—	269	251	52	10	0	3	13	41	4	4	1	207	257	283	540	76	237	15	5	247	47	-17	+0	+17	+5	+6	1.1
2019	28	MLB MLE	Boston Red Sox	—	521	485	130	23	1	24	30	101	0	4	2	268	311	468	779	200	292	19	6	337	114	+9	+0	+21	+9	+11	5.1
2019	28	MLB RAW	Boston Red Sox	—	521	482	133	26	1	23	33	101	0	4	2	276	322	477	800	201	305	19	6	347	114	+9	+0	+21	+9	+11	5.1
2020	29	MLB MLE	Boston Red Sox	—	189	173	48	8	0	7	16	43	0	4	3	277	339	445	784	168	333	23	8	348	122	+5	-0	+7	+3	+4	1.9
2020	29	MLB RAW	Boston Red Sox	—	189	173	49	9	0	7	16	43	0	4	3	283	344	457	801	173	341	23	8	355	122	+5	-0	+7	+3	+4	1.9
2021	30	MLB MLE	2 teams	—	531	489	122	22	1	7	35	90	2	8	4	249	302	342	644	92	290	17	7	289	82	-12	+0	+10	+9	+12	2.0
2021	30	MLB RAW	2 teams	—	531	489	123	25	1	7	35	88	2	8	4	252	304	350	654	98	291	17	7	293	82	-12	+0	+10	+9	+12	2.0
2022	31	MLB MLE	Houston Astros	—	426	398	108	22	0	9	22	69	3	1	4	271	314	394	709	123	307	16	5	315	99	-0	-1	+11	+8	+9	2.6
2022	31	MLB RAW	Houston Astros	—	426	398	109	23	0	9	22	69	3	1	4	274	317	399	716	126	310	16	5	318	99	-0	-1	+11	+8	+9	2.6
2023	32	MLB MLE	Minnesota Twins	—	355	328	73	13	0	6	24	82	1	1	0	223	278	317	595	95	278	23	7	269	68	-13	+0	+16	+6	+8	1.7
2023	32	MLB RAW	Minnesota Twins	—	355	327	73	13	0	6	25	82	1	1	0	223	280	318	598	95	279	23	7	271	68	-13	+0	+16	+6	+8	1.7
2024	33	MLB MLE	Minnesota Twins	—	315	294	65	10	0	7	11	65	1	3	1	221	252	327	578	105	257	21	3	251	56	-16	+0	+14	+6	+7	1.1
2024	33	MLB RAW	Minnesota Twins	—	315	294	65	10	0	7	11	65	1	3	1	221	252	327	578	105	257	21	3	252	56	-16	+0	+14	+6	+7	1.1
2025	34	MLB MLE	3 teams	—	302	268	49	9	0	5	26	47	4	3	1	183	265	272	537	90	200	16	9	248	54	-17	+0	+8	+5	+7	0.4
2025	34	MLB RAW	3 teams	—	302	264	55	9	0	4	30	42	4	3	1	208	299	288	587	80	230	14	10	271	54	-17	+0	+8	+5	+7	0.4
2026	35	MLB MLE	Houston Astros	—	266	243	50	7	0	7	17	53	0	1	0	206	258	321	579	115	234	20	6	255	59	-13	+0	+1	+5	+6	-0.2
2026	35	MLB RAW	Houston Astros	—	266	242	50	7	0	7	18	53	0	1	0	207	262	322	584	116	235	20	7	258	59	-13	+0	+1	+5	+6	-0.2
2008	17	ROK MLE	GCL Red Sox	—	65	61	9	1	0	0	4	25	0	0	0	148	203	164	367	16	225	38	6	156	-8	—	—	—	—	—	—
2009	18	ROK MLE	GCL Red Sox	—	41	37	7	3	0	0	3	10	1	0	0	189	268	270	539	81	268	24	7	245	52	—	—	—	—	—	—
2010	19	A MLE	Greenville Drive	—	299	277	61	9	0	1	16	82	4	3	1	220	273	264	536	43	297	27	5	239	48	—	—	—	—	—	—
2011	20	A MLE	Greenville Drive	—	444	409	92	21	3	15	27	119	5	1	1	225	282	401	683	176	270	27	6	294	85	—	—	—	—	—	—
2012	21	A+ MLE	3 teams	—	495	451	96	19	0	8	36	128	5	2	3	213	280	308	588	95	273	26	7	257	60	—	—	—	—	—	—
2013	22	AA MLE	2 teams	—	523	468	136	24	2	5	46	71	4	7	6	291	364	382	746	92	322	14	9	325	106	—	—	—	—	—	—
2014	23	AAA MLE	3 teams	—	599	550	139	31	0	4	39	123	5	2	2	253	313	331	644	78	321	21	7	284	78	—	—	—	—	—	—
2016	25	MLB MLE	3 teams	—	467	433	102	21	1	4	25	101	6	4	1	236	286	316	602	81	304	22	5	272	70	—	—	—	—	—	—
2017	26	MLB MLE	Boston Red Sox	—	345	322	91	16	2	5	17	64	3	7	2	283	323	391	714	109	348	19	5	320	103	—	—	—	—	—	—
2018	27	MLB MLE	Boston Red Sox	—	269	251	50	9	0	3	12	41	4	4	1	199	246	271	517	72	237	15	4	238	47	—	—	—	—	—	—
2019	28	MLB MLE	Boston Red Sox	—	521	486	130	23	1	24	30	101	0	4	2	267	311	467	778	200	305	19	6	337	114	—	—	—	—	—	—
2020	29	MLB MLE	Boston Red Sox	—	189	171	48	8	0	7	16	43	0	4	3	281	339	450	789	170	341	23	8	348	122	—	—	—	—	—	—
2021	30	MLB MLE	2 teams	—	531	489	122	22	1	7	35	90	2	8	4	249	302	342	644	92	301	17	7	289	82	—	—	—	—	—	—
2022	31	MLB MLE	Houston Astros	—	426	398	108	22	0	9	22	69	3	1	4	271	314	394	709	123	310	16	5	315	99	—	—	—	—	—	—
2023	32	MLB MLE	Minnesota Twins	—	355	327	73	13	0	6	24	82	1	1	0	223	278	318	596	95	279	23	7	269	68	—	—	—	—	—	—
2024	33	MLB MLE	Minnesota Twins	—	315	300	65	10	0	7	11	65	1	3	1	217	252	320	572	103	257	21	3	251	56	—	—	—	—	—	—
2025	34	MLB MLE	3 teams	—	302	269	49	9	0	5	26	47	4	3	1	182	265	271	536	89	203	16	9	248	54	—	—	—	—	—	—
2026	35	MLB MLE	Houston Astros	—	266	247	50	7	0	7	17	53	0	1	0	202	258	316	573	113	235	20	6	255	59	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	33	MLB MLE	Minnesota Twins	—	315	300	65	10	0	7	11	65	1	3	1	217	252	320	572	103	257	21	3	251	56	—	—	—	—	—	—
2025	34	MLB MLE	3 teams	—	302	269	49	9	0	5	26	47	4	3	1	182	265	271	536	89	203	16	9	248	54	—	—	—	—	—	—
2026	35	MLB MLE	Houston Astros	—	266	247	50	7	0	7	17	53	0	1	0	202	258	316	573	113	235	20	6	255	59	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	36	MLB MLE	HOU	100%	222	204	47	9	1	5	15	43	1	2	1	227	285	347	632	121	261	19	7	283	78	-6	+0	+3	+4	+5	0.3
▸ 2027 — real world (MLB)
2027	36	MLB CTX	HOU	100%	138	127	29	6	0	3	9	27	1	1	0	229	287	350	638	121	265	20	7	286	78	-4	+0	+2	+2	+3	0.4
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	37	MLB MLE	HOU	100%	80	75	16	3	0	2	5	16	0	0	0	214	271	320	592	106	251	20	6	267	67	-3	+0	-6	+1	+2	-0.6
2028	37	MLB CTX	HOU	100%	80	75	16	3	0	2	5	16	0	0	0	217	274	323	597	106	255	20	6	269	67	-3	+0	-6	+1	+2	-0.6
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3863	3561	876	167	5	80	240	725	20	34	18	246	297	363	660	117	286	19	6	294	75	-68	-0	+153	+83	+84	25.6
/ 162G	—	A+C		—	650	599	147	28	1	13	40	122	3	6	3	245	295	361	656	115	286	19	6	294	75	-12	-0	+26	+14	+14	4.3
Career	—	MLE		—	6789	6230	1501	282	11	122	425	1373	50	56	33	241	295	348	643	108	288	20	6	279	75	-72	-0	+155	+86	+87	26.0
/ 162G	—	MLE		—	650	596	144	27	1	12	41	131	5	5	3	242	296	351	647	109	289	20	6	279	75	-12	-0	+25	+14	+14	4.2

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 AAASt. Paul Saints · 18 PAwOBA .275 → .183 (−92)K% 5.6% → 6.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	5.56%	÷0.989	×1.200	—	—	6.74%
BB% (unintentional) /PA	16.67%	÷1.022	×0.690	—	×0.940	10.58%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	7.14%	÷0.944	×0.930	—	×0.940	6.61%
Doubles /BIP	0.00%	÷0.938	×0.830	—	×0.940	0.00%
Triples /BIP	0.00%	÷1.000	×0.970	—	×0.940	0.00%
Home runs /BIP	7.14%	÷1.253	×0.700	—	×0.940	3.75%

Factors used: league row International League. Park (home-season share, regressed): HR 151, 1B 89, 2B 88, 3B 100, K 98, BB 104 — applied at half strength. Age: age 35 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (7.8 yr older than average).

Result: wOBA .275 → .183; ISO .200 → .112; BABIP .077 → .069. 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 AAAPawtucket Red Sox · 171 PAwOBA .316 → .290 (−26)K% 18.1% → 22.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.13%	÷0.979	×1.200	—	—	22.22%
BB% (unintentional) /PA	8.19%	÷1.007	×0.690	—	×1.018	5.71%
HBP% /PA	1.75%	—	×0.940	—	×1.018	1.68%
Singles /BIP	24.79%	÷0.957	×0.930	×1.018	×1.018	24.96%
Doubles /BIP	7.44%	÷0.923	×0.830	×1.018	×1.018	6.93%
Triples /BIP	0.00%	÷0.912	×0.970	×1.018	×1.018	0.00%
Home runs /BIP	1.65%	÷0.994	×0.840	—	×1.018	1.42%

Factors used: league row IL. Park (home-season share, regressed): HR 99, 1B 91, 2B 85, 3B 82, K 96, BB 101 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.

Result: wOBA .316 → .290; ISO .099 → .089; BABIP .325 → .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).

2014 AAAPawtucket Red Sox · 270 PAwOBA .313 → .297 (−16)K% 19.3% → 23.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.26%	÷0.980	×1.200	—	—	23.57%
BB% (unintentional) /PA	7.04%	÷1.084	×0.690	—	×1.048	4.69%
HBP% /PA	0.37%	—	×0.940	—	×1.048	0.36%
Singles /BIP	25.00%	÷0.976	×0.930	×1.050	×1.048	26.21%
Doubles /BIP	8.85%	÷0.937	×0.830	×1.050	×1.048	8.63%
Triples /BIP	0.00%	÷1.104	×0.970	×1.050	×1.048	0.00%
Home runs /BIP	1.56%	÷1.240	×0.840	—	×1.048	1.11%

Factors used: league row IL. Park (home-season share, regressed): HR 148, 1B 95, 2B 87, 3B 121, K 96, BB 117 — 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 ×1.050.

Result: wOBA .313 → .297; ISO .107 → .094; BABIP .340 → .349. 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 AAPortland Sea Dogs · 399 PAwOBA .342 → .325 (−17)K% 11.0% → 13.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.03%	÷0.989	×1.220	—	—	13.60%
BB% (unintentional) /PA	11.78%	÷0.975	×0.700	—	×1.027	8.68%
HBP% /PA	0.75%	—	×0.850	—	×1.027	0.66%
Singles /BIP	24.83%	÷0.980	×0.970	×1.027	×1.027	25.94%
Doubles /BIP	6.38%	÷0.987	×0.860	×1.027	×1.027	5.86%
Triples /BIP	0.34%	÷0.900	×0.950	×1.027	×1.027	0.37%
Home runs /BIP	1.68%	÷1.026	×0.780	—	×1.027	1.31%

Factors used: league row EL. Park (home-season share, regressed): HR 105, 1B 96, 2B 97, 3B 80, K 98, BB 95 — 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 ×1.027.

Result: wOBA .342 → .325; ISO .105 → .095; BABIP .316 → .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).

2012 A+Salem Red Sox · 342 PAwOBA .333 → .264 (−69)K% 20.5% → 28.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.47%	÷1.008	×1.420	—	—	28.83%
BB% (unintentional) /PA	11.70%	÷1.035	×0.630	—	×1.012	7.21%
HBP% /PA	1.17%	—	×0.860	—	×1.012	1.02%
Singles /BIP	24.22%	÷1.041	×0.940	×0.990	×1.012	21.90%
Doubles /BIP	7.62%	÷1.089	×0.830	×0.990	×1.012	5.82%
Triples /BIP	0.00%	÷1.150	×0.800	×0.990	×1.012	0.00%
Home runs /BIP	3.14%	÷0.944	×0.900	—	×1.012	3.03%

Factors used: league row CAR. Park (home-season share, regressed): HR 89, 1B 108, 2B 118, 3B 130, K 102, BB 107 — 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 ×0.990.

Result: wOBA .333 → .264; ISO .130 → .110; BABIP .326 → .283. 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).

2012 AAPortland Sea Dogs · 82 PAwOBA .249 → .230 (−19)K% 11.0% → 14.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.98%	÷0.958	×1.220	—	—	13.98%
BB% (unintentional) /PA	9.76%	÷1.001	×0.700	—	×1.042	7.11%
HBP% /PA	0.00%	—	×0.850	—	×1.042	0.00%
Singles /BIP	17.19%	÷1.007	×0.970	×1.050	×1.042	18.11%
Doubles /BIP	6.25%	÷1.095	×0.860	×1.050	×1.042	5.37%
Triples /BIP	0.00%	÷1.150	×0.950	×1.050	×1.042	0.00%
Home runs /BIP	0.00%	÷1.098	×0.780	—	×1.042	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 120, 1B 101, 2B 119, 3B 130, K 92, BB 100 — 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 ×1.050.

Result: wOBA .249 → .230; ISO .055 → .048; BABIP .231 → .231. 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).

2011 AGreenville Drive · 444 PAwOBA .369 → .294 (−75)K% 18.9% → 26.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.92%	÷0.950	×1.340	—	—	26.69%
BB% (unintentional) /PA	9.23%	÷1.011	×0.660	—	×1.015	6.12%
HBP% /PA	1.13%	—	×0.770	—	×1.015	0.88%
Singles /BIP	20.45%	÷1.055	×0.920	×0.993	×1.015	17.97%
Doubles /BIP	8.77%	÷1.025	×0.820	×0.993	×1.015	7.06%
Triples /BIP	0.97%	÷1.026	×0.940	×0.993	×1.015	0.90%
Home runs /BIP	5.84%	÷0.939	×0.820	—	×1.015	5.18%

Factors used: league row SAL. Park (home-season share, regressed): HR 88, 1B 111, 2B 105, 3B 105, K 90, BB 102 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .369 → .294; ISO .222 → .183; BABIP .316 → .270. 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).

2010 AGreenville Drive · 299 PAwOBA .297 → .239 (−58)K% 20.7% → 27.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.74%	÷1.012	×1.340	—	—	27.46%
BB% (unintentional) /PA	7.36%	÷0.971	×0.660	—	×1.030	5.15%
HBP% /PA	1.34%	—	×0.770	—	×1.030	1.06%
Singles /BIP	27.40%	÷1.020	×0.920	×1.000	×1.030	25.48%
Doubles /BIP	5.29%	÷1.030	×0.820	×1.000	×1.030	4.34%
Triples /BIP	0.00%	÷1.048	×0.940	×1.000	×1.030	0.00%
Home runs /BIP	1.44%	÷1.826	×0.820	—	×1.030	0.67%

Factors used: league row SAL. Park (home-season share, regressed): HR 265, 1B 104, 2B 106, 3B 110, K 102, BB 94 — 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 ×1.000.

Result: wOBA .297 → .239; ISO .074 → .047; BABIP .329 → .297. 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
#1Martín Maldonadolast yr '25 career totals — 14 seasons, 4,027 PA	6.1	4,027	119	3	203	277	343	+72	+149	21.7	20.1
/162	664	20	0	+11.9	+24.6	3.6	pk7: 18
#2Roberto Pérezlast yr '22 career totals — 9 seasons, 1,752 PA	2.6	1,752	55	2	207	298	360	+31	+105	15.9	15.5
/162	664	21	1	+11.9	+39.7	6.0	pk7: 15
#3Mike Heath'78-'91 * career totals — 14 seasons, 4,585 PA	6.9	4,585	86	54	249*	300*	388*	+53	+2	13.3	12.5
/162	664	12	8	+7.6	+0.4	1.9	pk7: 12
#4René Riveralast yr '21 career totals — 10 seasons, 1,602 PA	2.4	1,602	42	1	221	273	354	+29	+90	11.7	11.8
/162	664	17	0	+11.9	+37.2	4.9	pk7: 12
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 14 projected seasons	6.0	4,001	83	35	246	294	363	+69	+185	10.7	10.9
/162	664	14	6	+11.4	+30.7	1.8	pk7: 11
#5Rick Cerone'75-'92 * career totals — 16 seasons, 4,504 PA	6.8	4,504	59	6	241*	301*	363*	+78	-0	9.7	9.4
/162	664	9	1	+11.6	-0.0	1.4	pk7: 9
#6Pat Borders'88-'05 * career totals — 13 seasons, 3,499 PA	5.3	3,499	69	9	247*	282*	385*	+57	+1	5.8	6.7
/162	664	13	2	+10.8	+0.2	1.1	pk7: 8

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
Christian Vázquez (OGILVIE)	36	—	—	—	—	225/283/344	120	261	3	1	19%	7%	78	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Matt Treanor 2012 · MLB	36	44	41→40	39→40	56	214/313/306	93	254	10	6	19%	11%	81	-0.1	219/309/339	120	270	12	8	22%	10%	86	+0.3	170/266/275	105	214	9	5	24%	10%	59	-0.3
✕Jamie Burke 2008 · MLB	36	49→45	43→45	40→30	46	237/286/347	110	262	10	3	15%	5%	79	-0.2	225/275/317	92	264	8	5	17%	5%	68	-1.0	203/251/265	62	245	4	1	18%	5%	46	-0.6
✕Mike Matheny 2006 · MLB	35	48→52	46→45	35→30	43	237/277/370	133	273	13	2	19%	5%	81	-0.1	234/282/372	138	269	14	5	19%	5%	83	+0.1	220/260/321	101	252	10	0	17%	4%	63	-0.4
✕John Flaherty 2005 · MLB	37	48→52	52→45	38→40	43	248/284/415	167	272	19	5	18%	4%	94	+0.9	220/270/362	142	251	16	7	19%	6%	77	-0.3	160/203/244	84	184	9	0	19%	4%	24	-1.0
✕Mike Cervenak 2013 · AAA	36	51→58	46→45	41→40	46	253/297/376	124	278	14	4	15%	5%	90	+0.6	245/288/356	111	275	11	7	15%	5%	81	-0.1	240/272/321	81	266	8	4	13%	3%	65	-0.7
✕Gary Bennett 2007 · MLB	35	46	42→40	43→40	50	223/281/323	100	253	10	4	17%	7%	72	-0.7	234/286/354	120	252	13	7	13%	6%	80	-0.1	241/277/321	80	257	7	4	9%	4%	69	-0.3
✕Francisco Valdez 2006 · AAA	37	48	45→40	40→30	43	235/291/352	116	263	13	5	16%	4%	82	+0.0	248/290/336	88	276	8	5	13%	4%	78	-0.3	260/300/341	82	286	4	1	10%	3%	79	-0.1
✕Humberto Quintero 2015 · MLB	35	47	44→45	41→40	38	233/263/350	118	284	11	5	22%	3%	70	-0.8	225/257/325	100	280	10	7	23%	3%	63	-1.4	220/242/296	76	267	11	3	22%	2%	47	-1.3
✕Hernando Arredondo 2013 · AAA	36	49→53	48→50	42→50	42	249/279/385	136	277	16	8	18%	4%	84	+0.2	231/265/356	125	267	14	5	19%	4%	73	-0.6	225/265/311	86	270	10	2	20%	4%	59	-0.5
✕Iker Franco 2017 · AAA	36	51→47	41→50	43→40	47	245/299/336	91	296	9	4	20%	7%	80	-0.1	221/273/327	106	279	12	7	24%	6%	70	-0.9	156/195/247	91	190	13	0	26%	5%	19	-0.9
✕Wil Nieves 2014 · MLB	36	52→56	40	42→40	42	251/281/337	86	296	8	4	18%	4%	74	-0.6	239/281/335	96	301	8	6	22%	5%	74	-0.6	240/265/325	85	312	4	4	24%	1%	65	-0.3
✕Lou Merloni 2007 · MLB	36	48→44	42→45	40	46	234/291/341	107	271	9	4	17%	6%	79	-0.2	215/270/303	88	250	7	5	16%	6%	63	-1.4	201/254/264	63	234	3	1	15%	6%	45	-2.0
✕Sandy Alomar Jr. 2002 · MLB	36	53	44→45	41→40	48	257/298/371	115	267	12	5	10%	5%	88	+0.5	257/290/381	124	269	13	3	10%	4%	88	+0.4	260/288/376	116	270	13	0	9%	3%	86	+0.1
✕Raul Gonzalez 2010 · AAA	36	54→58	42→45	38→50	51	262/317/363	101	294	9	7	14%	7%	94	+0.9	262/325/393	131	305	13	16	18%	8%	104	+1.6	281/347/422	140	326	14	21	17%	8%	114	+1.1
✕Brent Mayne 2004 · MLB	36	50	40	38→40	51	242/301/334	92	271	8	4	14%	7%	81	-0.1	228/292/321	93	270	8	6	18%	8%	75	-0.5	205/272/244	39	256	0	3	18%	8%	50	-0.9
✕Noe Munoz 2007 · AAA	36	57→62	40	38→40	51	272/324/361	89	305	7	3	14%	7%	95	+1.0	269/323/360	91	306	7	4	14%	7%	95	+0.9	281/335/366	86	318	7	3	13%	7%	98	+0.7
✕Brad Ausmus 2005 · MLB	36	50→56	39→45	42→45	51	237/293/318	81	263	7	5	13%	7%	74	-0.5	237/307/313	76	271	5	6	14%	8%	79	-0.2	230/302/311	81	278	6	6	18%	8%	77	-0.1
✕Chris Widger 2006 · MLB	35	48	47→60	39→40	49	239/295/378	139	263	14	5	16%	7%	90	+0.6	225/296/354	129	267	14	7	20%	9%	84	+0.2	167/252/229	62	211	6	0	22%	10%	41	-0.5
✕Miguel Ojeda 2011 · AAA	36	47→45	46→45	43→45	51	235/298/365	131	265	14	8	18%	8%	88	+0.4	228/284/331	103	275	10	7	20%	7%	74	-0.5	225/281/317	91	274	8	6	20%	6%	68	-0.7
✕A.J. Ellis 2015 · MLB	34	46→54	43→45	40	58	225/320/333	108	262	11	2	18%	11%	89	+0.5	224/317/350	126	255	13	4	17%	11%	92	+0.7	220/313/354	134	245	15	2	17%	10%	94	+0.3

Christian Vázquez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps