Jose Rojas — OGILVIE

Jose Rojas3B Syracuse Mets

Age 33 L/R 5'10" / 200 lbs AAA H +5%HR +3% Svc 5.000 · Ctrl thru 2026 peak 0.5 · 2026

wRC+†100

AVG/OBP/SLG.237 / .308 / .467

PA350

HR17

SB7

K%26

BB%9

MLB%10%

Scouting · now → future

HIT

55→55

PWR

60→60

SPD

50→50

EYE

51↗60

trajectory · 10 yrs

1.8peak

2026

Contract

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

Status Arb-3

MLB Debut 2021

Service 5.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-3	$9M	+0.5	$2M	+$0.0M (cut)
Totals		$2M		$2M	+$0.0M

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
2016	23	ROK	Orem Owlz	250	229	51	10	2	4	14	42	2	9	4	.223	.273	.336	.610	.114	.254	17	6	.262	59	-12	+0	+0	-3	+7	-0.7
2017	24	A+	2 teams	524	497	119	23	4	10	15	134	5	4	9	.239	.269	.362	.631	.123	.304	26	3	.272	66	-20	-3	+0	-6	+15	-1.4
2018	25	AA	3 teams	614	570	137	29	4	23	35	163	5	12	7	.240	.290	.426	.716	.186	.294	27	6	.308	94	-4	-0	+0	-7	+17	0.6
2019	26	AAA	2 teams	663	609	132	31	7	25	46	192	0	4	4	.217	.272	.414	.686	.197	.268	29	7	.295	84	-12	-1	+0	-7	+19	-0.1
2021	28	AAA	2 teams	425	392	80	23	1	12	30	100	1	6	2	.204	.262	.360	.622	.156	.241	24	7	.274	68	-15	+0	-3	-5	+12	-1.1
2022	29	AAA	2 teams	366	339	67	13	3	15	22	102	2	5	2	.198	.251	.386	.637	.189	.231	28	6	.275	69	-13	+0	+1	+1	+10	0.0
2023	30	INTL	Charros de Jalisco	45	35	16	5	0	3	9	6	0	0	0	.457	.568	.857	1.425	.400	.500	13	20	—	—	—	—	+0	-0	—	—
2024	31	AAA	2 teams	361	318	63	14	1	21	35	100	2	4	1	.198	.282	.447	.728	.248	.207	28	10	.309	95	-2	+0	+0	-4	+10	0.5
2025	32	AAA	Scranton/Wilkes-Barre RailRiders	517	469	107	27	4	26	42	132	3	15	2	.228	.296	.469	.765	.241	.258	26	8	.326	108	+4	+2	+0	-6	+15	1.6
▸ 2026 Season (actual · ROS · total)
2026	33	AAA	Syracuse Mets	59	55	11	1	0	2	3	10	0	1	0	.200	.241	.327	.569	.127	.205	17	5	.246	46	-4	+0	+0	-1	+2	-0.2
ROS	33	MLB	NYM	291	264	62	14	1	14	24	72	1	6	1	.235	.301	.455	.756	.220	.269	25	8	.330	111	+4	+1	-2	-3	+8	0.8
TOT	33	MLB	NYM	350	319	73	15	1	16	27	82	1	7	1	.229	.291	.433	.724	.204	.256	23	8	.316	100	+0	+1	-2	-4	+10	0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	34	MLB 20%	NYM	391	353	83	18	2	18	33	92	2	6	1	.235	.304	.450	.755	.215	.263	24	8	.328	109	+4	+1	-7	-4	+11	0.4
2028	35	MLB 33%	NYM	337	304	70	15	2	15	28	83	2	5	0	.230	.299	.441	.740	.211	.260	25	8	.320	103	+1	+1	-8	-4	+10	0.0
2029	36	MLB 43%	NYM	278	252	55	12	1	11	23	71	1	4	0	.218	.286	.405	.691	.187	.257	26	8	.310	95	-2	+1	-8	-3	+8	-0.4
2030	37	MLB 52%	NYM	215	195	42	9	1	8	17	57	1	2	0	.215	.282	.395	.677	.179	.253	27	8	.298	87	-3	+0	-8	-2	+6	-0.8
2031	38	MLB 70%	NYM	148	134	28	6	1	5	12	40	1	1	0	.209	.279	.381	.660	.172	.248	27	8	.286	77	-4	+0	-9	-2	+4	-1.0
▸ Career Totals (MLE all levels + projections)
Career	—			5425	4960	1112	249	34	210	385	1386	28	83	33	.224	.284	.415	.699	.191	.265	26	7	.298	86	-86	+3	-44	-53	+154	-2.7
/ 162G	—			650	594	133	30	4	25	46	166	3	10	4	.224	.283	.414	.697	.190	.265	26	7	.298	86	-10	+0	-5	-6	+18	-0.3

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
2016	23	ROK	Orem Owlz	250	221	68	15	3	5	22	29	2	9	4	.308	.376	.471	.846	.163	.333	12	9	.368	140	+11	+0	—	—	+7	1.9
2017	24	AA	Mobile BayBears	185	172	39	9	1	4	6	35	3	0	1	.227	.265	.360	.626	.134	.255	19	3	.273	67	-7	-0	—	—	+5	-0.2
2017	24	A+	Inland Empire 66ers	339	317	101	20	5	7	17	64	2	4	8	.319	.357	.479	.837	.161	.379	19	5	.366	138	+15	-2	—	—	+10	2.2
2018	25	AAA	Salt Lake Bees	73	69	15	3	0	0	2	13	0	1	0	.217	.239	.261	.500	.043	.259	18	3	.221	27	-6	+0	—	—	+2	-0.4
2018	25	AA	Mobile BayBears	352	312	95	21	3	17	36	75	3	9	4	.304	.382	.554	.936	.250	.353	21	10	.407	170	+28	+0	—	—	+10	3.9
2018	25	INTL	Bravos de Margarita	189	174	55	12	4	4	12	25	2	2	3	.316	.367	.500	.867	.184	.349	13	6	.379	148	+10	-1	—	—	+5	1.5
2019	26	AAA	Salt Lake Bees	578	515	151	39	7	31	58	131	0	4	4	.293	.365	.577	.941	.283	.335	23	10	.404	167	+44	-1	—	—	+16	6.1
2019	26	INTL	Yaquis de Obregon	85	68	11	6	0	0	14	13	0	0	0	.162	.305	.250	.555	.088	.190	15	16	.259	56	-4	+0	—	—	+2	-0.2
2021	28	MLB	Los Angeles Angels	184	168	35	14	0	6	15	50	1	2	1	.208	.277	.399	.676	.190	.259	27	8	.300	88	-3	+0	-3	-5	+5	-0.5
2021	28	AAA	Salt Lake Bees	241	216	56	11	1	8	23	38	0	4	1	.259	.331	.431	.761	.171	.279	16	10	.336	115	+4	+0	—	—	+7	1.2
2022	29	MLB	Los Angeles Angels	57	56	7	2	0	0	0	19	1	0	0	.125	.140	.161	.301	.036	.189	33	0	.137	-37	-9	+0	+1	+1	+2	-0.5
2022	29	AAA	Sacramento River Cats	309	274	75	15	3	20	31	64	1	5	2	.274	.350	.569	.919	.296	.285	21	10	.393	159	+21	+0	—	—	+9	3.0
2023	30	INTL	Charros de Jalisco	45	35	16	5	0	3	9	6	0	0	0	.457	.568	.857	1.425	.400	.500	13	20	.582	303	+10	+0	—	—	+1	1.2
2024	31	AAA	Indianapolis Indians	332	280	68	17	1	21	45	72	2	4	1	.243	.352	.536	.887	.293	.245	22	14	.380	149	+18	+0	—	—	+9	2.9
2024	31	INTL	Toros del Este	29	25	4	2	0	0	3	11	0	0	0	.160	.250	.240	.490	.080	.267	38	10	.223	29	-2	+0	—	—	+1	-0.2
2025	32	AAA	Scranton/Wilkes-Barre RailRiders	517	446	128	35	4	32	65	108	3	15	2	.287	.381	.599	.980	.312	.311	21	13	.420	180	+46	+2	—	—	+15	6.5
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			241	224	42	16	0	6	15	69	2	2	1	.188	.245	.339	.584	.152	.242	29	6	.262	58	-11	+0	-2	-3	+7	-1.0

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
Jose Rojas (OGILVIE)	33	55	60	50	60	.237/.308/.467	.229	.279	17	7	26%	9%	118	+1.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Kole Calhoun 2021 · MLB	33	41→51	61→60	46→50	53	.228/.317/.447	.219	.254	29	5	24%	11%	116	+2.8	.225/.299/.401	.176	.274	22	5	26%	9%	97	+1.5	.213/.278/.358	.144	.268	17	2	26%	7%	74	-0.0
✕David Dellucci 2007 · MLB	33	49→46	61→65	46→50	57	.261/.358/.492	.231	.297	28	7	22%	12%	144	+4.8	.247/.323/.426	.179	.291	19	6	21%	9%	113	+2.6	.232/.302/.379	.147	.281	14	6	22%	7%	87	+0.3
✕Yadiel Hernandez 2022 · MLB	34	49→56	56→55	45	46	.259/.315/.443	.184	.308	25	7	25%	8%	114	+2.7	.255/.302/.397	.142	.316	17	7	24%	6%	96	+1.5	.272/.317/.409	.136	.334	16	4	23%	6%	104	+1.1
✕Jay Bruce 2020 · MLB	33	42→52	62→65	42→50	50	.236/.302/.464	.228	.257	31	3	23%	9%	115	+2.7	.221/.284/.426	.205	.253	27	6	25%	8%	97	+1.5	.192/.247/.431	.239	.197	31	0	23%	7%	74	-0.0
✕Mike Moustakas 2022 · MLB	33	43→53	59→65	49→45	53	.236/.313/.447	.211	.250	27	4	19%	9%	115	+2.7	.229/.298/.372	.143	.283	17	4	24%	8%	89	+0.9	.231/.295/.359	.128	.290	16	2	25%	7%	79	+0.2
✕Brad Miller 2022 · MLB	32	44→54	61→60	49→50	53	.237/.326/.458	.222	.288	29	6	28%	11%	122	+3.3	.223/.302/.380	.157	.288	21	8	28%	10%	92	+1.2	.201/.278/.312	.110	.263	16	6	29%	9%	62	-0.3
✕Alex Dickerson 2022 · MLB	32	49→54	56→55	48→45	48	.255/.326/.453	.198	.293	24	4	22%	8%	121	+3.2	.222/.282/.386	.164	.268	20	5	25%	7%	85	+0.7	.196/.249/.341	.145	.238	17	1	25%	6%	56	-0.8
✕Scott Hairston 2013 · MLB	33	46→51	58→60	50	46	.247/.302/.457	.210	.273	26	11	21%	7%	113	+2.6	.232/.284/.439	.207	.265	27	9	24%	6%	100	+1.7	.184/.235/.422	.238	.174	39	7	25%	5%	77	+0.0
●Josh Willingham 2012 · MLB	33	49→53	60	48→45	56	.258/.358/.478	.219	.297	27	7	23%	12%	141	+4.5	.241/.350/.457	.216	.286	27	4	25%	12%	132	+4.0	.226/.348/.431	.205	.272	26	2	26%	13%	118	+2.4
✕Cliff Floyd 2006 · MLB	33	51→61	60→65	50→55	56	.271/.357/.490	.219	.290	28	11	18%	10%	144	+4.8	.263/.346/.445	.182	.287	22	8	17%	9%	128	+3.6	.262/.347/.422	.160	.291	19	4	17%	9%	115	+1.5
●Eric Thames 2019 · MLB	32	46→53	63→65	52→45	53	.244/.339/.487	.242	.311	30	9	31%	12%	135	+4.2	.243/.335/.465	.222	.316	28	7	30%	11%	128	+3.7	.238/.337/.459	.221	.309	28	4	30%	11%	116	+1.4
✕Lucas Duda 2019 · MLB	33	42→52	62→65	47→30	50	.234/.317/.462	.228	.274	30	3	27%	10%	120	+3.1	.217/.290/.388	.171	.280	22	5	30%	8%	89	+1.0	.161/.232/.282	.121	.215	16	0	33%	7%	37	-1.0
●AJ Pollock 2021 · MLB	33	48→58	61→65	50→55	46	.260/.317/.480	.220	.287	30	11	22%	7%	125	+3.5	.263/.317/.450	.187	.297	23	8	20%	7%	117	+2.9	.254/.308/.423	.169	.288	20	7	19%	6%	102	+1.1
●Jorge Cantu 2015 · AAA	33	43→53	67→60	48→40	45	.251/.304/.502	.251	.260	38	6	22%	6%	126	+3.5	.260/.315/.436	.176	.292	22	6	19%	6%	112	+2.6	.255/.313/.410	.155	.296	18	4	20%	6%	105	+1.4
✕Derek Dietrich 2021 · MLB	32	45→55	59→60	46→40	46	.240/.336/.455	.215	.281	27	5	25%	8%	127	+3.6	.196/.305/.362	.166	.272	20	4	34%	8%	91	+1.1	.162/.274/.304	.142	.241	17	0	37%	7%	62	-0.4
●Charlie Blackmon 2019 · MLB	33	56→62	57→60	47→55	51	.288/.355/.490	.202	.320	25	12	18%	8%	142	+4.6	.278/.342/.464	.186	.311	21	6	17%	8%	130	+3.8	.275/.342/.442	.168	.307	18	3	16%	8%	121	+2.6
✕Brian Burgamy 2014 · AAA	33	52→49	61→55	47→50	51	.275/.345/.494	.219	.309	31	9	22%	9%	140	+4.5	.243/.312/.412	.169	.301	21	6	25%	9%	105	+2.1	.231/.304/.377	.146	.296	17	6	26%	9%	90	+0.8
✕Josh Hamilton 2014 · MLB	33	50→60	58→65	49→50	48	.261/.324/.471	.210	.304	26	7	23%	8%	124	+3.4	.256/.316/.431	.175	.327	20	5	27%	8%	111	+2.5	.260/.318/.421	.160	.343	19	3	28%	7%	102	+1.0
★Curtis Granderson 2014 · MLB	33	45→55	61→65	53→50	53	.240/.330/.469	.229	.288	28	15	27%	11%	127	+3.6	.244/.339/.431	.187	.291	22	9	23%	12%	121	+3.2	.241/.347/.461	.220	.274	27	7	22%	13%	126	+3.6
✕Justin Upton 2020 · MLB	32	48→58	60→65	46→55	52	.253/.340/.470	.217	.317	29	9	29%	11%	131	+3.9	.222/.307/.411	.189	.279	26	6	29%	10%	103	+1.9	.191/.281/.366	.176	.237	25	4	31%	9%	79	+0.1

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)