Amed Rosario — OGILVIE

Amed Rosario3B New York Yankees

Age 30 R/R 6'1" / 227 lbs MLB HR +8%BB +8% Svc 8.360 · Ctrl thru 2026 peak 1.3 · 2026

wRC+†vL 126114vR 84

AVG/OBP/SLG.275 / .314 / .413

PA301

HR6

SB6

K%19

BB%4

MLB%100%

Scouting · now → future

HIT

55→55

PWR

40→40

SPD

50→50

EYE

34↘30

trajectory · 10 yrs

1.2peak

2026

Contract

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

Status FA

MLB Debut 2017

Service 8.360 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$2M	+1.3	$10M	+$8M
Totals		$2M		$10M	+$8M

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
2013	17	ROK	Kingsport Mets	226	216	41	6	3	2	7	61	1	2	6	.190	.219	.273	.492	.083	.252	27	3	.212	20	-20	-2	+0	+2	+6	-1.4
2014	18	A	Savannah Sand Gnats	31	30	3	0	1	1	1	14	0	0	0	.100	.129	.267	.396	.167	.133	45	3	.143	-32	-5	+0	+0	+0	+1	-0.3
2015	19	A+	St. Lucie Mets	417	391	84	17	5	0	17	105	5	12	4	.215	.257	.284	.541	.069	.293	25	4	.236	39	-29	+1	+0	+4	+12	-1.2
2016	20	A+	2 teams	527	493	141	21	11	4	26	115	2	19	8	.286	.324	.398	.722	.112	.361	22	5	.319	102	+1	+1	+0	+6	+15	2.3
2017	21	AAA	2 teams	595	565	155	20	9	9	19	140	6	26	9	.274	.305	.389	.694	.115	.347	24	3	.300	88	-8	+2	-3	+6	+17	1.3
2018	22	MLB	New York Mets	592	554	148	29	7	9	29	119	3	24	11	.267	.307	.394	.701	.126	.324	20	5	.302	90	-7	+0	-10	+6	+17	0.7
2019	23	MLB	New York Mets	655	616	184	32	9	14	31	124	3	19	10	.299	.335	.448	.783	.149	.353	19	5	.338	117	+13	-0	-6	+7	+19	3.3
2020	24	MLB	New York Mets	147	143	38	3	2	4	4	34	0	0	1	.266	.286	.399	.684	.133	.324	23	3	.294	83	-3	-0	+2	+2	+4	0.5
2021	25	MLB	Cleveland Indians	588	550	154	26	6	10	31	120	3	13	0	.280	.322	.404	.726	.124	.340	20	5	.320	103	+2	+3	-0	+6	+17	2.8
2022	26	MLB	Cleveland Guardians	670	637	180	26	10	12	25	111	4	18	4	.283	.314	.411	.725	.129	.324	17	4	.316	100	-0	+2	-2	+7	+19	2.7
2023	27	MLB	Los Angeles Dodgers	545	510	131	26	8	6	29	99	3	15	2	.257	.301	.375	.675	.118	.306	18	5	.298	86	-8	+2	-8	+6	+15	0.7
2024	28	MLB	Cincinnati Reds	346	332	93	18	4	3	9	73	4	13	5	.280	.307	.386	.693	.105	.350	21	3	.303	90	-4	+1	-6	-4	+10	-0.3
2025	29	MLB	New York Yankees	191	181	52	12	0	6	7	31	2	1	0	.287	.321	.453	.774	.166	.317	16	4	.333	113	+3	+0	-5	+1	+5	0.4
▸ 2026 Season (actual · ROS · total)
2026	30	MLB	New York Yankees	58	52	14	1	1	4	4	9	0	0	0	.269	.321	.558	.879	.288	.244	16	7	.362	135	+2	+0	-2	+0	+2	0.2
ROS	30	MLB	NYY	243	228	63	11	3	6	11	45	2	6	1	.276	.315	.430	.745	.154	.316	19	5	.327	108	+2	+1	-2	+3	+7	1.1
TOT	30	MLB	NYY	301	280	77	12	4	10	15	54	2	6	1	.275	.316	.454	.770	.179	.306	18	5	.334	114	+5	+1	-4	+3	+9	1.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	31	MLB	NYY	286	269	73	13	3	7	13	48	2	6	1	.271	.310	.420	.730	.149	.307	17	5	.323	106	+2	+1	-5	+3	+8	0.9
2028	32	MLB	NYY	267	251	67	12	3	6	12	46	2	4	0	.267	.306	.410	.716	.143	.305	17	4	.319	102	+1	+1	-5	+3	+8	0.7
2029	33	MLB	NYY	237	222	58	10	2	5	11	43	2	3	0	.261	.302	.392	.694	.131	.304	18	5	.313	98	-1	+1	-6	+3	+7	0.4
2030	34	MLB	NYY	195	183	47	8	2	4	9	37	1	2	0	.257	.295	.388	.683	.131	.303	19	5	.306	93	-2	+0	-6	+2	+6	0.0
▸ Career Totals (MLE all levels + projections)
Career	—			6758	6371	1712	290	88	108	291	1365	45	183	62	.269	.305	.393	.698	.124	.325	20	4	.305	92	-63	+12	-61	+64	+191	14.5
/ 162G	—			650	613	164	28	8	10	28	131	4	18	6	.268	.304	.388	.692	.121	.324	20	4	.305	92	-6	+1	-6	+6	+18	1.4

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
2013	17	ROK	Kingsport Mets	226	212	51	8	4	3	11	43	1	2	6	.241	.281	.358	.640	.118	.286	19	5	.283	75	-6	-2	—	—	+6	-0.2
2014	18	A	Savannah Sand Gnats	31	30	4	0	1	1	1	11	0	0	0	.133	.161	.300	.461	.167	.167	35	3	.200	11	-3	+0	—	—	+1	-0.2
2015	19	A+	St. Lucie Mets	417	385	99	20	5	0	23	73	5	12	4	.257	.308	.335	.643	.078	.316	18	6	.289	79	-10	+1	—	—	+12	0.3
2016	20	AA	Binghamton Mets	237	214	73	14	5	2	19	51	1	6	2	.341	.397	.481	.879	.140	.433	22	8	.385	153	+14	+0	—	—	+7	2.2
2016	20	A+	St. Lucie Mets	290	265	82	10	8	3	21	36	1	13	6	.309	.362	.442	.804	.132	.345	12	7	.354	129	+9	+0	—	—	+8	1.8
2017	21	MLB	New York Mets	170	165	41	4	4	4	3	49	2	7	3	.248	.271	.394	.665	.145	.330	29	2	.293	82	-3	+0	-3	+6	+5	0.5
2017	21	AAA	Las Vegas 51s	425	393	129	19	7	7	23	67	4	19	6	.328	.371	.466	.837	.137	.377	16	5	.367	139	+19	+1	—	—	+12	3.3
2018	22	MLB	New York Mets	592	554	142	26	8	9	29	119	3	24	11	.256	.297	.381	.678	.125	.310	20	5	.299	87	-9	+0	-10	+6	+17	0.5
2019	23	MLB	New York Mets	655	616	177	30	7	15	31	124	3	19	10	.287	.325	.432	.756	.144	.338	19	5	.333	113	+10	-0	-6	+7	+19	3.0
2020	24	MLB	New York Mets	147	143	36	3	1	4	4	34	0	0	1	.252	.272	.371	.643	.119	.305	23	3	.285	76	-4	-0	+2	+2	+4	0.4
2021	25	MLB	Cleveland Indians	588	550	155	25	6	11	31	120	3	13	0	.282	.324	.409	.733	.127	.340	20	5	.324	106	+4	+3	-0	+6	+17	3.0
2022	26	MLB	Cleveland Guardians	670	637	180	26	9	11	25	111	4	18	4	.283	.314	.403	.717	.121	.326	17	4	.317	101	+1	+2	-2	+7	+19	2.7
2023	27	MLB	Los Angeles Dodgers	545	510	134	25	8	6	29	99	3	15	2	.263	.306	.378	.685	.116	.314	18	5	.304	91	-5	+2	-8	+6	+15	1.0
2024	28	MLB	Cincinnati Reds	346	332	93	18	3	3	9	73	4	13	5	.280	.307	.380	.687	.099	.350	21	3	.306	92	-3	+1	-6	-4	+10	-0.2
2025	29	MLB	New York Yankees	191	181	50	11	0	6	7	31	2	1	0	.276	.311	.436	.747	.160	.303	16	4	.329	110	+2	+0	-5	+1	+5	0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			3904	3688	1008	168	46	69	168	760	24	110	36	.273	.309	.400	.709	.127	.326	19	4	.314	98	-8	+8	-38	+38	+111	11.2

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
Amed Rosario (OGILVIE)	30	55	40	50	30	.273/.313/.425	.152	.308	8	7	16%	5%	108	+1.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Rolando Acosta 2013 · AAA	30	52→59	47→50	46→45	42	.256/.297/.396	.140	.290	13	9	17%	4%	94	+1.3	.263/.312/.394	.131	.301	15	8	17%	5%	100	+1.7	.265/.319/.384	.119	.302	13	6	17%	6%	96	+0.8
✕Gabe Kapler 2005 · MLB	30	55→60	43→55	48→55	48	.265/.312/.382	.117	.303	10	13	16%	6%	95	+1.4	.261/.315/.391	.130	.294	12	9	15%	6%	100	+1.7	.262/.332/.433	.171	.289	17	8	15%	9%	115	+1.0
✕Ivan Araujo 2014 · AAA	30	56→60	46→50	53→55	40	.273/.311/.411	.137	.339	13	16	23%	4%	103	+1.9	.256/.293/.374	.118	.316	12	19	22%	4%	85	+0.7	.255/.293/.346	.091	.319	10	22	23%	4%	75	-0.0
✕Enrique Osorio 2015 · AAA	30	53→57	42→45	46→50	45	.255/.300/.360	.105	.289	10	14	16%	5%	85	+0.7	.265/.308/.359	.094	.294	8	15	13%	5%	88	+0.9	.276/.320/.355	.079	.305	6	15	11%	5%	89	+0.6
✕Angel Berroa 2006 · MLB	29	54→56	45→50	50	43	.266/.310/.392	.126	.302	12	12	16%	4%	98	+1.6	.245/.286/.356	.111	.281	11	6	17%	4%	78	+0.2	.259/.304/.420	.161	.303	20	4	21%	4%	101	+1.1
✕Hector Luna 2010 · MLB	30	50→49	47→55	47→50	44	.252/.297/.390	.139	.289	15	8	19%	5%	92	+1.2	.249/.301/.400	.151	.287	18	8	20%	6%	96	+1.5	.243/.295/.385	.142	.277	17	6	19%	6%	88	+0.6
●Jose Iglesias 2020 · MLB	30	56→62	44→45	46→50	46	.270/.306/.390	.120	.294	10	11	13%	4%	95	+1.4	.283/.320/.408	.125	.315	11	7	13%	4%	106	+2.2	.284/.322/.396	.111	.319	8	4	13%	4%	101	+1.1
●Juan Encarnacion 2006 · MLB	30	52→58	51→55	46→50	49	.263/.321/.430	.167	.290	18	10	16%	7%	113	+2.6	.266/.316/.425	.159	.294	18	7	16%	6%	109	+2.4	.267/.310/.422	.155	.290	17	5	15%	5%	101	+1.4
✕Kevin Pillar 2019 · MLB	30	51→59	47→55	49→55	44	.253/.292/.396	.143	.282	14	14	16%	4%	92	+1.2	.255/.293/.427	.172	.280	20	13	17%	4%	101	+1.8	.253/.291/.431	.178	.275	22	11	17%	3%	97	+1.0
✕Chris Johnson 2015 · MLB	30	57→65	45→50	50→45	41	.279/.316/.404	.126	.352	13	5	24%	5%	103	+1.9	.256/.294/.372	.116	.345	12	5	28%	5%	85	+0.7	.247/.286/.367	.120	.344	14	2	31%	5%	77	+0.1
✕Cesar Suarez 2014 · AAA	30	55→57	49→50	44→50	45	.274/.318/.425	.151	.284	16	13	11%	4%	110	+2.4	.251/.292/.379	.128	.268	13	11	12%	4%	87	+0.8	.239/.264/.299	.060	.263	4	11	10%	2%	48	-0.4
✕Luis Fonseca 2015 · AAA	30	57→65	51→50	50→45	43	.284/.325/.450	.166	.339	18	11	22%	6%	119	+3.1	.249/.280/.377	.128	.309	15	9	24%	4%	81	+0.4	.238/.264/.349	.111	.299	14	6	25%	3%	65	-0.4
✕Miguel Cairo 2005 · MLB	31	53→58	44→45	52→55	47	.257/.313/.380	.123	.281	10	12	13%	5%	96	+1.5	.246/.298/.341	.095	.272	6	20	11%	6%	79	+0.3	.260/.310/.370	.111	.287	11	10	14%	5%	89	+0.5
●Adonis García 2015 · AAA	30	52→56	44→50	48→50	42	.253/.287/.373	.120	.288	11	11	17%	4%	83	+0.6	.262/.292/.395	.133	.295	15	8	16%	3%	92	+1.2	.264/.296/.400	.136	.293	16	6	16%	3%	91	+0.8
✕T.J. Rivera 2019 · MLB	30	55→65	45→50	45	43	.271/.309/.398	.128	.305	13	5	16%	4%	98	+1.6	.236/.281/.363	.127	.288	13	8	22%	5%	79	+0.3	.235/.275/.369	.134	.283	16	2	23%	4%	77	+0.1
●Abel Martinez 2006 · AAA	29	57→63	46→45	49→50	48	.283/.332/.409	.126	.307	14	18	13%	6%	111	+2.5	.282/.322/.376	.094	.307	8	14	11%	4%	98	+1.6	.289/.332/.404	.115	.300	11	17	8%	5%	105	+1.2
✕Brandon Guyer 2016 · MLB	30	54→56	44→55	54→55	47	.259/.334/.392	.133	.302	10	17	17%	6%	108	+2.3	.245/.338/.382	.137	.284	13	9	18%	6%	109	+2.4	.224/.327/.357	.133	.262	14	4	19%	6%	94	+0.6
✕Josh Fields 2013 · MLB	30	51→56	47→55	50	43	.250/.302/.387	.137	.327	14	11	27%	7%	93	+1.3	.245/.288/.358	.113	.335	10	10	28%	6%	79	+0.3	.250/.288/.353	.103	.340	7	9	27%	5%	75	+0.0
●Cameron Maybin 2017 · MLB	30	54→59	42→50	53→55	51	.261/.325/.372	.111	.312	9	20	19%	8%	98	+1.6	.254/.331/.382	.128	.313	11	25	21%	10%	104	+2.0	.250/.335/.386	.135	.313	13	27	23%	11%	104	+1.3
●Andy Ibáñez 2023 · MLB	30	49→55	46→50	49→45	48	.241/.294/.375	.134	.272	13	8	17%	6%	87	+0.8	.246/.302/.391	.145	.287	15	7	19%	7%	94	+1.3	.247/.306/.390	.143	.289	15	7	20%	7%	94	+0.8

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)