Javier Báez — OGILVIE

Javier BáezCF Detroit Tigers

INJURED · Injured 10-Day (D10)

Age 33 R/R 5'11" / 190 lbs MLB HR +5%H +3% Svc 10.517 · Ctrl thru 2027 peak 0.5 · 2026

wRC+†vL 8885vR 67

AVG/OBP/SLG.238 / .273 / .363

PA169

HR4

K%24

BB%3

MLB%100%

Scouting · now → future

HIT

45→45

PWR

45→45

SPD

50→50

EYE

33↘25

trajectory · 10 yrs

0.0peak

2026

Contract

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

Status FA

MLB Debut 2014

Service 10.517 yrs.days

Team Control Through 2027

First FA Year 2028

NTC

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$23M	+0.5	$2M	-$21M
2027	Ext / FA-deal	$23M	+0.1	$0.4M	-$23M
Totals		$47M		$2M	-$44M

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
2012	19	A	3 teams	381	355	86	12	5	15	11	106	12	27	5	.242	.288	.431	.719	.189	.300	28	3	.307	93	-3	+3	+0	+4	+11	1.5
2013	20	A+	2 teams	577	530	122	28	3	31	27	197	11	20	4	.230	.282	.470	.752	.240	.293	34	5	.321	104	+3	+2	+0	+6	+16	2.8
2014	21	AAA	3 teams	712	662	122	24	1	29	36	283	6	23	9	.184	.233	.355	.588	.171	.260	40	5	.259	57	-35	+1	-3	+8	+20	-0.9
2015	22	AAA	4 teams	467	432	119	21	2	13	22	136	10	20	7	.275	.325	.424	.749	.148	.372	29	5	.322	105	+3	+1	+2	+2	+13	2.1
2016	23	MLB	2 teams	465	436	119	20	1	16	15	113	11	13	3	.273	.314	.433	.747	.161	.333	24	3	.321	104	+2	+1	+12	+2	+13	3.1
2017	24	MLB	Chicago Cubs	508	469	128	24	2	22	30	144	1	10	3	.273	.318	.473	.791	.200	.348	28	6	.318	101	+1	+1	+11	+5	+14	3.3
2018	25	MLB	Chicago Cubs	645	606	173	40	6	36	29	167	5	21	9	.285	.323	.550	.873	.264	.337	26	4	.366	139	+28	+1	+7	+2	+18	5.7
2019	26	MLB	Chicago Cubs	561	531	142	36	2	31	28	156	0	11	7	.267	.304	.518	.822	.250	.321	28	5	.347	124	+15	-1	+27	+6	+16	6.5
2020	27	MLB	Chicago Cubs	235	222	46	9	1	8	7	75	4	3	0	.207	.245	.365	.610	.158	.270	32	3	.265	61	-10	+1	+8	+3	+7	0.8
2021	28	MLB	New York Mets	547	503	132	18	2	31	28	184	13	18	5	.262	.318	.491	.809	.229	.347	34	5	.349	125	+15	+2	+5	+6	+15	4.4
2022	29	MLB	Detroit Tigers	590	555	132	29	4	18	26	147	6	9	2	.238	.279	.402	.681	.164	.290	25	4	.297	85	-10	+1	+4	+6	+17	1.9
2023	30	MLB	Detroit Tigers	547	511	115	18	4	9	24	125	9	12	0	.225	.272	.329	.601	.104	.279	23	4	.267	63	-23	+2	+10	+6	+15	1.1
2024	31	MLB	Detroit Tigers	289	272	50	11	0	6	12	69	2	8	1	.184	.224	.290	.514	.107	.220	24	4	.226	31	-23	+1	+1	+3	+8	-0.9
2025	32	MLB	Detroit Tigers	437	418	103	16	3	11	10	109	6	5	1	.246	.274	.378	.652	.132	.306	25	2	.286	77	-12	+1	+4	+5	+12	1.1
▸ 2026 Season (actual · ROS · total)
2026	33	MLB	Detroit Tigers	72	68	19	5	0	1	2	13	1	1	1	.279	.310	.397	.707	.118	.327	18	3	.308	94	-1	-0	+0	+1	+2	0.2
ROS	33	MLB	DET	97	93	22	4	0	2	3	23	1	2	1	.237	.268	.344	.612	.108	.300	24	3	.288	78	-2	+0	+1	+1	+3	0.2
TOT	33	MLB	DET	169	161	41	9	0	3	5	36	2	3	2	.255	.286	.366	.652	.112	.309	21	3	.296	85	-3	-0	+1	+2	+5	0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	34	MLB	DET	330	312	75	13	2	7	11	71	4	5	2	.240	.275	.362	.637	.122	.287	22	3	.281	73	-10	+0	-2	+4	+9	0.1
▸ Career Totals (MLE all levels + projections)
Career	—			7388	6907	1686	323	38	285	319	2105	101	207	59	.244	.287	.426	.713	.182	.307	28	4	.306	93	-61	+18	+86	+68	+209	32.7
/ 162G	—			650	608	147	28	3	25	28	185	9	18	5	.242	.285	.421	.706	.179	.303	28	4	.306	93	-5	+2	+8	+6	+18	2.9

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
2012	19	A+	Daytona Cubs	86	80	15	3	1	4	5	21	1	4	2	.188	.244	.400	.644	.213	.200	24	6	.283	75	-2	+0	—	—	+2	-0.0
2012	19	A	Peoria Chiefs	235	213	71	10	5	12	9	48	10	20	3	.333	.388	.596	.984	.263	.378	20	4	.423	182	+22	+3	—	—	+7	3.2
2012	19	INTL	Mesa Solar Sox	60	57	12	2	0	4	2	14	1	3	0	.211	.250	.456	.706	.246	.205	23	3	.308	94	-0	+1	—	—	+2	0.2
2013	20	AA	Tennessee Smokies	240	218	64	15	0	20	19	69	0	8	2	.294	.350	.638	.988	.344	.333	29	8	.418	178	+21	+1	—	—	+7	2.9
2013	20	A+	Daytona Cubs	337	299	82	19	4	17	21	78	11	12	2	.274	.344	.535	.880	.261	.310	23	6	.377	146	+18	+2	—	—	+10	2.9
2014	21	MLB	Chicago Cubs	229	213	36	6	0	9	15	95	1	5	1	.169	.227	.324	.551	.155	.248	41	7	.247	47	-14	+1	-3	+8	+6	-0.2
2014	21	AAA	Iowa Cubs	434	388	101	24	2	23	34	130	5	16	8	.260	.328	.510	.838	.250	.322	30	8	.360	134	+17	+0	—	—	+12	2.9
2014	21	INTL	Cangrejeros de Santurce	49	43	10	3	0	2	5	21	0	2	0	.233	.312	.442	.754	.209	.381	43	10	.327	108	+0	+0	—	—	+1	0.2
2015	22	MLB	Chicago Cubs	80	76	22	6	0	1	4	24	0	1	2	.289	.325	.408	.733	.118	.412	30	5	.327	108	+1	-1	+2	+2	+2	0.6
2015	22	AAA	Iowa Cubs	313	281	91	14	2	13	21	76	8	17	3	.324	.387	.527	.914	.203	.402	24	7	.399	164	+22	+2	—	—	+9	3.4
2015	22	ROK	AZL Cubs	15	12	5	1	0	0	1	0	2	1	0	.417	.533	.500	1.033	.083	.417	0	7	.471	219	+2	+0	—	—	+0	0.3
2015	22	INTL	Cangrejeros de Santurce	59	52	13	3	0	2	7	12	0	1	2	.250	.339	.423	.762	.173	.289	20	12	.341	119	+1	-1	—	—	+2	0.2
2016	23	MLB	Chicago Cubs	450	421	115	19	1	14	15	108	11	12	3	.273	.315	.423	.738	.150	.336	24	3	.327	108	+4	+1	+12	+2	+13	3.3
2016	23	AAA	Iowa Cubs	15	15	4	0	0	1	0	4	0	1	0	.267	.267	.467	.733	.200	.300	27	0	.320	103	+0	+0	—	—	+0	0.1
2017	24	MLB	Chicago Cubs	508	469	128	24	2	23	30	144	1	10	3	.273	.318	.480	.798	.207	.345	28	6	.345	122	+13	+1	+11	+5	+14	4.5
2018	25	MLB	Chicago Cubs	645	606	176	40	9	34	29	167	5	21	9	.290	.328	.554	.883	.264	.347	26	4	.379	148	+35	+1	+7	+2	+18	6.5
2019	26	MLB	Chicago Cubs	561	531	149	38	4	29	28	156	0	11	7	.281	.317	.531	.848	.250	.345	28	5	.367	139	+25	-1	+27	+6	+16	7.5
2020	27	MLB	Chicago Cubs	235	222	45	9	1	8	7	75	4	3	0	.203	.240	.360	.601	.158	.262	32	3	.264	60	-11	+1	+8	+3	+7	0.7
2021	28	MLB	New York Mets	547	502	133	18	2	31	28	184	13	18	5	.265	.320	.494	.814	.229	.352	34	5	.355	130	+18	+2	+5	+6	+15	4.7
2022	29	MLB	Detroit Tigers	590	555	132	27	4	17	26	147	6	9	2	.238	.279	.393	.672	.155	.292	25	4	.297	85	-10	+1	+4	+6	+17	1.9
2023	30	MLB	Detroit Tigers	547	510	113	18	4	9	24	125	9	12	0	.222	.268	.325	.594	.104	.274	23	4	.267	62	-23	+2	+10	+6	+15	1.0
2024	31	MLB	Detroit Tigers	289	272	50	12	0	6	12	69	2	8	1	.184	.224	.294	.518	.110	.220	24	4	.231	35	-21	+1	+1	+3	+8	-0.8
2025	32	MLB	Detroit Tigers	437	417	107	17	3	12	10	109	6	5	1	.257	.283	.398	.681	.141	.318	25	2	.300	87	-6	+1	+4	+5	+12	1.6
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			5118	4794	1206	234	30	193	228	1403	58	115	34	.252	.294	.434	.727	.182	.314	27	4	.318	102	+11	+9	+88	+53	+145	31.2

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
Javier Báez (OGILVIE)	33	45	45	50	25	.243/.278/.367	.124	.288	4	3	21%	3%	78	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Israel Nunez 2019 · AAA	33	47	46→40	49→40	44	.238/.278/.363	.125	.275	14	9	20%	5%	76	+0.1	.241/.278/.342	.101	.284	10	8	19%	4%	71	-0.3	.265/.292/.326	.061	.308	7	0	16%	1%	69	-0.1
✕Robinson Cancel 2009 · MLB	33	47	44→45	47→50	43	.232/.273/.352	.119	.271	11	11	19%	5%	72	-0.2	.232/.276/.326	.094	.270	7	12	16%	5%	66	-0.6	.251/.300/.345	.094	.296	8	15	17%	6%	77	+0.1
✕Charlie Culberson 2022 · MLB	33	49→52	47→45	52→50	44	.243/.295/.388	.145	.306	14	12	25%	6%	91	+1.1	.231/.277/.348	.117	.308	11	12	27%	6%	72	-0.2	.214/.243/.287	.073	.305	7	12	31%	4%	40	-0.5
✕Trinidad Robles 2006 · AAA	33	48	47→40	49→45	44	.240/.290/.372	.132	.290	15	11	23%	6%	84	+0.6	.241/.295/.351	.110	.297	10	10	21%	6%	81	+0.4	.237/.294/.328	.090	.293	8	7	21%	6%	73	-0.1
✕Jesus Alberto Vega 2015 · AAA	33	44	46→50	47→40	41	.224/.273/.345	.121	.286	14	7	27%	6%	70	-0.3	.217/.265/.316	.099	.306	9	5	31%	5%	59	-1.1	.204/.253/.285	.081	.295	7	1	32%	5%	42	-0.7
✕José Molina 2008 · MLB	33	48	43→45	47→45	42	.237/.275/.352	.115	.284	11	7	21%	5%	72	-0.2	.226/.277/.327	.101	.270	9	4	19%	5%	67	-0.5	.242/.303/.364	.121	.293	14	6	22%	7%	84	+0.2
✕Bobby Smith 2006 · AAA	32	48→49	45→50	53→50	44	.239/.288/.361	.122	.286	13	11	22%	6%	80	+0.4	.230/.273/.361	.131	.307	14	11	29%	5%	74	-0.1	.214/.247/.354	.141	.308	14	7	35%	4%	58	-0.4
✕Guillermo Quiroz 2015 · MLB	33	45	44→50	48→50	40	.222/.268/.336	.114	.285	11	4	26%	5%	66	-0.6	.219/.260/.324	.105	.284	10	5	26%	4%	59	-1.1	.211/.251/.342	.131	.272	16	0	28%	3%	56	-0.6
✕Carlos Orrantia 2015 · AAA	33	51→55	42→45	49→55	42	.247/.285/.354	.107	.299	9	16	21%	5%	76	+0.1	.235/.276/.319	.084	.297	7	9	22%	4%	64	-0.8	.231/.270/.294	.063	.296	5	6	23%	4%	53	-0.7
✕Dusty Wathan 2007 · AAA	33	45	47→45	45→40	44	.231/.296/.362	.131	.269	16	6	21%	6%	85	+0.7	.236/.297/.329	.093	.286	7	8	19%	5%	76	+0.1	.252/.314/.309	.057	.309	0	6	17%	4%	76	+0.0
✕Kristopher Negrón 2019 · MLB	33	45→50	45	54→55	39	.223/.279/.349	.126	.309	13	17	31%	6%	74	-0.1	.232/.294/.361	.129	.336	14	14	33%	7%	83	+0.6	.238/.304/.360	.122	.346	14	14	33%	8%	83	+0.4
✕Mike DiFelice 2002 · MLB	33	44	45→50	46→30	44	.219/.270/.345	.126	.263	13	5	22%	6%	69	-0.4	.229/.288/.359	.130	.272	12	5	20%	7%	80	+0.4	.220/.284/.348	.129	.267	13	2	22%	7%	75	-0.0
✕Austin Romine 2022 · MLB	33	50→51	47→50	45	39	.248/.284/.380	.131	.323	15	5	28%	5%	84	+0.6	.215/.259/.330	.115	.293	14	6	30%	5%	60	-1.0	.178/.213/.260	.081	.241	11	0	31%	4%	18	-1.3
✕Issmael Salas 2015 · AAA	33	49→51	44→50	49→50	44	.242/.287/.358	.116	.277	12	6	18%	5%	79	+0.3	.247/.291/.363	.116	.279	12	7	16%	5%	82	+0.5	.253/.300/.375	.122	.278	13	5	14%	5%	89	+0.6
✕Tuffy Gosewisch 2017 · MLB	33	45→44	45	46→40	45	.226/.275/.348	.122	.259	13	5	19%	5%	72	-0.2	.198/.262/.302	.104	.256	9	4	25%	6%	55	-1.4	.170/.241/.254	.083	.233	6	1	28%	6%	32	-1.2
✕Adrián Sanchez 2022 · MLB	31	53→46	43→45	48→50	44	.257/.297/.369	.111	.305	11	13	19%	5%	86	+0.8	.231/.273/.337	.106	.290	8	10	22%	5%	67	-0.5	.217/.255/.315	.098	.279	4	6	22%	5%	49	-0.8
✕Caleb Joseph 2019 · MLB	33	46→50	43→50	45→40	40	.229/.269/.338	.109	.288	10	4	24%	5%	66	-0.6	.221/.270/.348	.127	.291	13	5	28%	5%	69	-0.4	.192/.241/.317	.125	.261	13	0	31%	5%	47	-0.7
✕Octavio Sandoval 2006 · AAA	33	48	45→40	44→45	37	.240/.272/.362	.122	.301	12	9	25%	3%	73	-0.1	.248/.278/.339	.091	.291	8	7	17%	3%	69	-0.4	.257/.282/.333	.076	.293	7	5	15%	3%	66	-0.3
✕Humberto Sosa 2019 · AAA	33	43→50	43→50	49→45	43	.214/.262/.319	.105	.269	11	7	25%	6%	59	-1.1	.247/.299/.448	.201	.297	26	7	26%	6%	109	+2.4	.261/.318/.535	.274	.294	39	0	26%	6%	137	+1.2
✕Humberto Quintero 2014 · MLB	34	47	43→45	44→40	40	.233/.269/.347	.114	.281	11	4	22%	4%	69	-0.4	.238/.268/.349	.111	.293	11	5	22%	3%	69	-0.4	.242/.262/.336	.094	.299	9	4	22%	2%	59	-0.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)