Miguel Andujar — OGILVIE

Miguel AndujarLF San Diego Padres

Age 31 R/R 6'0" / 211 lbs MLB HR +13%BB +8% Svc 8.000 · Ctrl thru 2027 peak 1.6 · 2026

wRC+†vL 193114vR 95

AVG/OBP/SLG.281 / .323 / .416

PA410

HR10

K%15

BB%5

MLB%100%

Scouting · now → future

HIT

55→55

PWR

40→40

SPD

45→45

EYE

37↘35

trajectory · 10 yrs

1.1peak

2026

Contract

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

Status FA

MLB Debut 2018

Service 8.000 yrs.days

Team Control Through 2027

First FA Year 2028

DEF 10%

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$2M	+1.6	$13M	+$11M
2027	Ext / FA-deal	$8M	+0.9	$4M	-$4M
Totals		$10M		$17M	+$7M

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	17	ROK	GCL Yankees	191	182	30	6	0	1	8	53	1	1	3	.165	.204	.214	.418	.049	.227	28	4	.186	1	-21	-1	+0	+1	+5	-1.7
2013	18	ROK	GCL Yankees2	144	136	33	8	0	3	4	30	3	4	1	.243	.280	.368	.647	.125	.288	21	3	.276	69	-5	+0	+0	+1	+4	0.0
2014	19	A	Charleston RiverDogs	527	500	113	18	3	10	19	112	3	5	1	.226	.259	.334	.593	.108	.270	21	4	.258	56	-26	+1	+0	+2	+15	-0.9
2015	20	A+	Tampa Yankees	520	493	97	20	3	8	21	125	3	12	1	.197	.234	.298	.532	.101	.245	24	4	.234	37	-37	+2	+0	+2	+15	-1.9
2016	21	AA	3 teams	647	596	148	27	4	13	31	110	10	3	5	.248	.297	.372	.669	.124	.280	17	5	.293	82	-13	-1	+0	+2	+18	0.6
2017	22	AA	3 teams	592	557	162	38	2	15	21	100	5	5	4	.291	.322	.447	.770	.156	.326	17	4	.330	111	+7	-1	+0	+2	+17	2.6
2018	23	MLB	New York Yankees	606	573	171	50	2	25	25	97	4	2	1	.298	.332	.524	.856	.225	.321	16	4	.363	136	+24	+0	-4	+2	+17	4.1
2019	24	MLB	New York Yankees	49	47	6	0	0	0	1	11	0	0	0	.128	.146	.128	.273	.000	.162	22	2	.123	-48	-8	+0	-2	+0	+1	-0.8
2020	25	MLB	2 teams	107	102	23	3	1	1	5	15	0	1	0	.225	.262	.304	.566	.078	.256	14	5	.257	55	-5	+0	-3	-1	+3	-0.6
2021	26	MLB	3 teams	258	240	63	4	0	11	14	40	0	0	1	.263	.303	.417	.720	.154	.269	16	5	.314	98	-0	-0	-2	-3	+7	0.2
2022	27	AAA	3 teams	529	504	122	24	1	14	19	83	2	10	1	.242	.272	.377	.649	.135	.263	16	4	.282	74	-16	+2	+1	-6	+15	-0.4
2023	28	AAA	3 teams	686	637	178	38	2	21	42	101	2	8	3	.279	.326	.444	.770	.165	.302	15	6	.332	112	+9	+0	-1	-7	+19	2.2
2024	29	MLB	3 teams	370	351	104	19	1	5	15	49	3	3	2	.296	.331	.399	.729	.103	.332	13	4	.321	104	+2	-0	-5	-4	+10	0.3
2025	30	MLB	2 teams	359	339	102	16	2	9	17	53	1	1	0	.301	.336	.440	.776	.139	.333	15	5	.336	116	+6	+0	-5	+1	+10	1.3
▸ 2026 Season (actual · ROS · total)
2026	31	MLB	San Diego Padres	60	57	18	5	1	0	2	12	1	1	1	.316	.350	.439	.789	.123	.400	20	3	.347	123	+2	-0	+0	+0	+2	0.3
ROS	31	MLB	SD	350	327	93	17	2	7	18	54	2	3	2	.284	.326	.413	.738	.128	.323	15	5	.332	112	+5	-0	-3	+1	+10	1.3
TOT	31	MLB	SD	410	384	111	22	3	7	20	66	3	4	3	.289	.329	.417	.746	.128	.332	16	5	.334	114	+6	-0	-3	+1	+12	1.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	32	MLB	SD	391	367	104	19	2	8	19	52	2	2	1	.283	.322	.411	.734	.128	.311	13	5	.327	108	+4	+0	-7	+1	+11	1.0
2028	33	MLB	SD	361	338	94	17	2	7	18	51	2	1	1	.278	.318	.402	.721	.124	.310	14	5	.321	104	+2	-0	-7	+1	+10	0.6
2029	34	MLB	SD	317	297	83	15	2	6	15	47	2	0	0	.279	.318	.404	.723	.125	.308	15	5	.315	99	-0	+0	-7	+1	+9	0.2
2030	35	MLB	SD	264	248	67	12	2	4	13	42	1	0	0	.270	.309	.383	.692	.113	.307	16	5	.307	93	-2	+0	-8	+1	+7	-0.1
2031	36	MLB	SD	207	194	51	9	1	3	10	35	1	0	0	.263	.302	.366	.668	.103	.304	17	5	.298	86	-3	+0	-8	+1	+6	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			7475	7028	1844	360	32	171	335	1260	47	61	27	.262	.300	.396	.696	.133	.296	17	4	.304	91	-79	+1	-60	-1	+212	7.4
/ 162G	—			650	611	160	31	3	15	29	110	4	5	2	.262	.300	.396	.696	.134	.295	17	4	.304	91	-7	+0	-5	-0	+18	0.7

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	17	ROK	GCL Yankees	191	177	41	9	0	1	13	37	1	1	3	.232	.288	.299	.587	.068	.288	19	7	.270	65	-8	-1	—	—	+5	-0.3
2013	18	ROK	GCL Yankees2	144	133	43	11	0	4	7	21	3	4	1	.323	.371	.496	.867	.173	.358	15	5	.381	150	+8	+0	—	—	+4	1.3
2014	19	A	Charleston RiverDogs	527	484	129	25	4	10	35	83	3	5	1	.267	.320	.397	.717	.130	.302	16	7	.318	101	+1	+1	—	—	+15	1.7
2015	20	A+	Tampa Yankees	520	485	118	24	5	8	29	90	3	12	1	.243	.290	.363	.653	.120	.282	17	6	.291	81	-11	+2	—	—	+15	0.6
2016	21	AA	Trenton Thunder	319	282	75	16	2	2	21	42	7	2	1	.266	.332	.358	.690	.092	.296	13	7	.306	92	-3	+0	—	—	+9	0.6
2016	21	A+	Tampa Yankees	251	230	65	10	2	10	18	30	3	1	3	.283	.343	.474	.817	.191	.289	12	7	.361	134	+10	-1	—	—	+7	1.6
2016	21	INTL	Scottsdale Scorpions	77	67	19	2	2	0	9	11	0	0	1	.284	.368	.373	.742	.090	.333	14	12	.333	113	+1	-0	—	—	+2	0.3
2017	22	AAA	Scranton/Wilkes-Barre RailRiders	250	227	72	13	1	9	17	33	2	3	0	.317	.370	.502	.872	.185	.333	13	7	.379	148	+14	+1	—	—	+7	2.2
2017	22	AA	Trenton Thunder	272	253	79	23	1	7	12	38	2	2	3	.312	.348	.494	.842	.182	.338	14	4	.364	137	+11	-1	—	—	+8	1.9
2017	22	INTL	Gigantes del Cibao	70	65	12	0	0	1	4	9	1	0	1	.185	.243	.231	.474	.046	.200	13	6	.222	28	-6	-0	—	—	+2	-0.4
2018	23	MLB	New York Yankees	606	573	170	47	2	27	25	97	4	2	1	.297	.331	.527	.858	.230	.316	16	4	.372	143	+29	+0	-4	+2	+17	4.6
2019	24	MLB	New York Yankees	49	47	6	0	0	0	1	11	0	0	0	.128	.146	.128	.273	.000	.162	22	2	.125	-46	-8	+0	-2	+0	+1	-0.8
2020	25	MLB	New York Yankees	65	62	15	2	1	1	3	9	0	0	0	.242	.277	.355	.632	.113	.269	14	5	.282	74	-2	+0	-3	-1	+2	-0.4
2020	25	INTL	Toros del Este	42	40	12	4	0	0	2	4	0	1	0	.300	.333	.400	.733	.100	.333	10	5	.328	109	+0	+0	—	—	+1	0.2
2021	26	MLB	New York Yankees	162	154	39	2	0	6	7	28	0	0	1	.253	.286	.383	.669	.130	.273	17	4	.296	85	-3	-0	-2	-3	+5	-0.3
2021	26	AAA	Scranton/Wilkes-Barre RailRiders	63	54	18	1	0	5	7	6	0	0	0	.333	.410	.630	1.039	.296	.289	10	11	.435	191	+7	+0	—	—	+2	0.8
2021	26	INTL	Toros del Este	33	31	5	0	0	0	1	6	0	0	0	.161	.188	.161	.349	.000	.192	18	3	.158	-21	-4	+0	—	—	+1	-0.4
2022	27	MLB	Pittsburgh Pirates	140	132	31	5	1	1	5	27	0	4	1	.235	.263	.311	.573	.076	.280	19	4	.252	51	-8	+0	+1	-6	+4	-0.9
2022	27	AAA	Scranton/Wilkes-Barre RailRiders	297	277	79	17	0	13	17	35	2	5	0	.285	.331	.487	.818	.202	.287	12	6	.359	133	+11	+1	—	—	+8	2.1
2022	27	INTL	Toros del Este	92	85	21	3	0	2	7	15	0	1	0	.247	.304	.353	.657	.106	.279	16	8	.298	86	-1	+0	—	—	+3	0.1
2023	28	MLB	Pittsburgh Pirates	90	84	21	7	0	4	6	13	0	2	0	.250	.300	.476	.776	.226	.254	14	7	.339	118	+2	+0	-1	-7	+3	-0.3
2023	28	AAA	Indianapolis Indians	465	414	140	30	2	16	47	55	1	5	3	.338	.407	.536	.943	.198	.358	12	10	.413	174	+39	-0	—	—	+13	5.3
2023	28	INTL	Tigres del Licey	131	121	37	2	2	2	7	9	1	1	0	.306	.349	.405	.754	.099	.312	7	5	.333	113	+2	+0	—	—	+4	0.6
2024	29	MLB	Oakland Athletics	319	302	86	14	1	4	13	42	3	3	2	.285	.321	.377	.698	.093	.319	13	4	.313	98	-1	-0	-5	-4	+9	-0.1
2024	29	AAA	Las Vegas Aviators	19	18	7	4	0	0	1	2	0	0	0	.389	.421	.611	1.032	.222	.438	11	5	.450	202	+2	+0	—	—	+1	0.3
2024	29	INTL	Tigres del Licey	32	31	5	1	0	1	1	6	0	0	0	.161	.188	.290	.478	.129	.167	19	3	.212	20	-3	+0	—	—	+1	-0.2
2025	30	MLB	Cincinnati Reds	341	321	102	17	1	10	17	49	1	1	0	.318	.354	.470	.824	.153	.348	14	5	.363	136	+14	+0	-5	+1	+10	2.0
2025	30	AAA	Las Vegas Aviators	18	18	4	0	1	0	0	3	0	0	0	.222	.222	.333	.556	.111	.267	17	0	.241	42	-1	+0	—	—	+1	-0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1772	1675	470	94	6	53	77	276	8	12	5	.281	.315	.439	.754	.158	.307	16	4	.331	112	+24	+0	-20	-17	+50	3.7

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
Miguel Andujar (OGILVIE)	31	55	40	45	35	.285/.326/.419	.133	.312	9	4	13%	5%	112	+1.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Matt Hague 2017 · MLB	31	56→64	45	45	49	.273/.332/.399	.126	.314	13	5	17%	7%	109	+2.4	.248/.309/.348	.100	.287	9	7	16%	7%	85	+0.7	.243/.308/.329	.086	.282	8	5	16%	8%	80	+0.2
✕Danny Bautista 2004 · MLB	32	57→59	46→50	48→45	50	.279/.331/.417	.138	.310	13	9	15%	7%	113	+2.6	.274/.325/.399	.125	.301	12	8	13%	7%	105	+2.1	.284/.332/.398	.114	.307	11	6	11%	6%	105	+2.0
✕Gabe Kapler 2006 · MLB	31	55→60	46→55	47→55	47	.268/.314/.400	.132	.303	12	10	16%	6%	102	+1.8	.261/.318/.401	.140	.292	14	8	15%	7%	104	+2.0	.262/.332/.433	.171	.289	17	8	15%	9%	115	+1.0
✕Brandon Guyer 2017 · MLB	31	53→56	46→55	49→55	48	.259/.350/.400	.141	.296	12	11	17%	6%	118	+3.0	.233/.327/.371	.138	.274	14	7	20%	7%	102	+1.8	.206/.303/.335	.129	.246	14	4	21%	7%	79	+0.1
✕Juan Encarnacion 2007 · MLB	31	53→58	51→55	43→50	48	.268/.321/.432	.164	.295	18	7	16%	6%	113	+2.6	.260/.310/.413	.153	.288	17	7	16%	6%	103	+1.9	.253/.301/.395	.142	.281	15	4	15%	6%	93	+0.8
✕Pedro Diaz 2010 · AAA	31	54→47	45→50	43→45	47	.267/.314/.392	.126	.294	12	7	14%	5%	100	+1.7	.242/.289/.350	.108	.294	10	5	21%	5%	78	+0.2	.253/.291/.345	.093	.318	8	2	22%	4%	74	-0.0
✕Adonis García 2017 · MLB	32	54→56	48→50	46→50	42	.269/.301/.409	.140	.301	15	7	17%	4%	98	+1.6	.247/.289/.380	.133	.279	15	10	17%	4%	86	+0.8	.213/.260/.317	.104	.242	13	15	18%	4%	57	-0.5
●Albino Contreras 2011 · AAA	31	58	43→50	46→55	47	.284/.336/.397	.113	.322	11	11	15%	6%	110	+2.4	.258/.310/.390	.132	.299	14	17	18%	6%	98	+1.6	.276/.330/.408	.131	.326	13	13	19%	6%	108	+1.2
●Jose Iglesias 2021 · MLB	31	59→62	45	45→50	45	.289/.325/.423	.134	.314	11	10	12%	4%	112	+2.6	.274/.313/.393	.119	.309	10	6	14%	4%	98	+1.6	.283/.322/.388	.105	.324	8	5	15%	4%	98	+1.0
✕Carlos Morales 2015 · AAA	31	58→65	42→45	43→30	45	.281/.334/.384	.103	.341	10	4	20%	6%	105	+2.1	.243/.284/.336	.093	.291	10	4	20%	4%	72	-0.2	.225/.260/.298	.073	.268	9	0	20%	3%	49	-0.6
✕Abraham Valencia 2011 · AAA	31	51→53	49→50	42→45	44	.258/.314/.404	.146	.283	17	7	16%	4%	103	+1.9	.248/.304/.396	.148	.279	18	5	18%	4%	98	+1.6	.251/.311/.382	.131	.293	17	2	20%	4%	92	+0.6
●Marco Scutaro 2007 · MLB	31	53→62	45	50→45	54	.257/.318/.390	.133	.284	10	6	14%	8%	100	+1.7	.261/.338/.375	.114	.287	10	8	12%	10%	105	+2.1	.272/.348/.388	.116	.292	10	8	10%	10%	109	+2.4
●Melky Cabrera 2016 · MLB	31	57→67	44→50	47→50	50	.275/.322/.400	.124	.299	11	5	12%	6%	105	+2.1	.282/.329/.424	.142	.304	13	3	12%	6%	114	+2.7	.285/.332/.427	.142	.306	13	2	12%	6%	112	+2.4
✕Manuel Velez 2007 · AAA	31	55→59	43→40	47→45	50	.267/.316/.372	.106	.290	11	7	13%	6%	95	+1.4	.265/.305/.372	.107	.287	11	6	12%	5%	90	+1.0	.270/.304/.375	.105	.289	11	3	11%	4%	87	+0.3
✕Ricardo Nanita 2012 · AAA	31	56→60	45	46→50	45	.276/.312/.399	.123	.306	12	11	14%	5%	100	+1.7	.259/.297/.376	.117	.290	13	8	15%	5%	88	+0.9	.258/.296/.369	.111	.288	13	4	15%	4%	84	+0.3
✕Ben Francisco 2013 · MLB	31	49→56	46→55	46→55	51	.242/.311/.378	.136	.280	13	9	18%	8%	95	+1.4	.214/.276/.313	.099	.269	9	9	22%	7%	63	-0.8	.175/.234/.229	.053	.231	4	12	24%	6%	20	-1.6
✕Rolando Acosta 2014 · AAA	31	53→59	49→50	45	43	.265/.311/.413	.148	.299	17	9	18%	4%	105	+2.1	.251/.306/.366	.115	.289	12	8	17%	6%	89	+1.0	.233/.296/.326	.093	.269	9	5	16%	6%	72	-0.1
✕James Loney 2015 · MLB	31	58→64	43→50	44→45	51	.284/.332/.394	.110	.310	11	4	12%	7%	107	+2.2	.276/.322/.380	.104	.299	10	4	11%	6%	99	+1.7	.276/.317/.372	.096	.295	9	1	9%	5%	88	+0.7
✕Jermaine Curtis 2018 · AAA	31	52→61	41→40	48→50	51	.250/.331/.346	.095	.300	8	8	19%	8%	95	+1.4	.224/.312/.315	.091	.292	7	9	24%	9%	80	+0.4	.177/.293/.222	.046	.239	4	9	24%	10%	52	-0.4
●Raul Gonzalez 2006 · MLB	32	51→61	47→45	44→50	51	.251/.307/.391	.140	.278	14	7	16%	8%	96	+1.5	.258/.312/.380	.122	.294	11	6	16%	7%	95	+1.4	.289/.345/.400	.111	.326	11	5	14%	7%	109	+1.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)