Miguel Rojas — OGILVIE

Miguel Rojas2B Los Angeles Dodgers

Age 37 R/R 5'10" / 188 lbs MLB HR +15%K -3% Svc 11.250 · Ctrl thru 2026 peak 1.7 · 2026

wRC+†vL 140113vR 109

AVG/OBP/SLG.258 / .316 / .381

PA232

HR4

K%13

BB%7

MLB%100%

Scouting · now → future

HIT

60→60

PWR

31→31

SPD

46→46

FLD

70→70

EYE

47↗55

trajectory · 10 yrs

0.5peak

2026

Contract

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

Status FA

MLB Debut 2014

Service 11.250 yrs.days

Team Control Through 2026

First FA Year 2027

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$6M	+1.7	$14M	+$8M
Totals		$6M		$14M	+$8M

Options · projected decision
2027	CLUB OPT	$2025.0M / $0.0M buyout	DECLINE
2028	CLUB OPT	$5.0M / $1.0M buyout	DECLINE
2029	CLUB OPT	$2022.0M / $0.0M buyout	DECLINE
2030	CLUB OPT	$5.5M / $0.0M buyout	DECLINE

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
2006	17	ROK	VSL Reds	196	166	25	2	0	0	15	40	8	9	4	.151	.254	.163	.417	.012	.198	20	8	.190	4	-21	+0	+0	+2	+6	-1.4
2007	18	ROK	DSL Reds	144	123	25	5	0	2	11	16	3	2	1	.203	.285	.293	.577	.089	.217	11	8	.236	39	-10	+0	+0	+2	+4	-0.4
2008	19	ROK	Billings Mustangs	228	214	31	6	1	1	8	50	4	3	1	.145	.190	.196	.387	.051	.184	22	4	.167	-14	-29	+0	+0	+2	+6	-2.1
2009	20	A	Dayton Dragons	527	479	127	14	3	3	25	56	4	14	8	.265	.307	.326	.633	.061	.292	11	5	.268	63	-22	-0	+0	+6	+15	-0.2
2010	21	A+	3 teams	438	407	86	4	2	1	12	90	4	16	8	.211	.241	.238	.479	.027	.269	21	3	.210	19	-40	+0	+0	+5	+12	-2.4
2011	22	AA	3 teams	425	386	98	12	0	0	22	78	2	19	10	.254	.298	.285	.583	.031	.314	18	5	.255	53	-22	-0	+0	+5	+12	-0.6
2012	23	AA	3 teams	398	367	70	5	0	1	20	54	2	2	4	.191	.237	.213	.449	.022	.220	14	5	.200	12	-40	-1	+0	+4	+11	-2.6
2013	24	AA	2 teams	574	523	114	14	2	6	30	76	4	11	4	.218	.266	.287	.553	.069	.244	13	5	.238	40	-39	+1	+0	+6	+16	-1.6
2014	25	AAA	3 teams	462	430	98	15	0	5	20	78	5	11	3	.228	.270	.298	.568	.070	.267	17	4	.257	55	-24	+1	+8	+5	+13	0.4
2015	26	AAA	3 teams	499	458	129	24	5	4	23	57	4	3	6	.282	.322	.382	.704	.100	.312	11	5	.300	88	-7	-2	+3	+5	+14	1.4
2016	27	MLB	2 teams	316	289	75	16	0	2	16	40	1	2	3	.260	.301	.336	.636	.076	.293	13	5	.269	64	-13	-1	+2	+3	+9	0.1
2017	28	MLB	2 teams	336	299	86	20	2	1	29	33	5	2	2	.288	.360	.378	.738	.090	.318	10	9	.318	101	+0	-0	+3	+4	+10	1.7
2018	29	MLB	2 teams	591	548	139	16	0	14	27	77	9	8	3	.254	.300	.359	.659	.106	.271	13	5	.289	79	-14	+0	+12	+6	+17	2.2
2019	30	MLB	Miami Marlins	526	483	138	29	1	5	32	62	5	9	5	.286	.337	.381	.717	.095	.316	12	6	.309	95	-3	-0	+2	+6	+15	2.0
2020	31	MLB	Miami Marlins	143	125	38	10	1	4	16	18	2	5	1	.304	.392	.496	.888	.192	.330	13	11	.385	153	+9	+1	+3	+2	+4	1.8
2021	32	MLB	Miami Marlins	539	495	129	31	3	10	37	74	5	13	3	.261	.318	.396	.714	.135	.289	14	7	.314	98	-1	+1	+1	+6	+15	2.3
2022	33	MLB	Miami Marlins	507	471	114	21	2	6	26	61	6	9	3	.242	.290	.333	.624	.091	.265	12	5	.271	66	-20	+1	+12	+5	+14	1.3
2023	34	MLB	2 teams	505	458	106	20	1	6	31	57	6	10	3	.231	.289	.319	.608	.087	.249	11	6	.270	65	-20	+1	+7	+5	+14	0.8
2024	35	MLB	Los Angeles Dodgers	337	307	90	22	0	6	23	34	3	8	2	.293	.348	.423	.772	.130	.312	10	7	.334	113	+5	+1	+11	+4	+10	3.0
2025	36	MLB	Los Angeles Dodgers	317	290	76	17	0	6	24	46	0	5	0	.262	.318	.383	.701	.121	.294	15	8	.305	92	-3	+1	+4	+1	+9	1.3
▸ 2026 Season (actual · ROS · total)
2026	37	MLB	Los Angeles Dodgers	43	38	14	2	0	1	3	6	0	0	1	.368	.415	.500	.915	.132	.406	14	7	.384	152	+3	-0	+2	+0	+1	0.6
ROS	37	MLB	LAD	189	172	47	10	0	4	14	25	1	3	1	.273	.332	.401	.733	.128	.293	13	7	.321	104	+1	+0	+2	+2	+5	1.1
TOT	37	MLB	LAD	232	210	61	12	0	5	17	31	1	3	2	.290	.346	.419	.766	.129	.318	13	7	.333	113	+3	-0	+5	+2	+7	1.7
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	38	MLB	LAD	146	134	35	7	0	3	10	18	1	2	1	.261	.317	.381	.698	.119	.283	12	7	.309	95	-1	+0	-6	+2	+4	-0.1
▸ Career Totals (MLE all levels + projections)
Career	—			8343	7624	1876	320	23	90	471	1140	84	166	76	.246	.297	.329	.627	.083	.277	14	6	.272	67	-314	+3	+65	+87	+236	7.9
/ 162G	—			650	594	146	25	2	7	37	89	7	13	6	.246	.298	.330	.628	.084	.277	14	6	.272	67	-24	+0	+5	+7	+18	0.6

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
2006	17	ROK	VSL Reds	196	157	28	3	0	0	24	28	8	9	4	.178	.317	.197	.515	.019	.217	14	12	.251	50	-11	+0	—	—	+6	-0.5
2007	18	ROK	DSL Reds	144	117	27	6	0	2	17	11	3	2	1	.231	.343	.333	.676	.103	.238	8	12	.299	87	-2	+0	—	—	+4	0.2
2008	19	ROK	Billings Mustangs	228	208	38	8	1	1	14	35	4	3	1	.183	.248	.245	.493	.062	.215	15	6	.228	33	-17	+0	—	—	+6	-1.1
2009	20	A	Dayton Dragons	527	469	128	16	3	3	35	44	4	14	8	.273	.329	.339	.668	.066	.293	8	7	.294	83	-10	-0	—	—	+15	0.5
2010	21	AA	Carolina Mudcats	29	27	6	0	0	0	2	4	0	1	1	.222	.276	.222	.498	.000	.261	14	7	.235	38	-2	-0	—	—	+1	-0.1
2010	21	A+	Lynchburg Hillcats	266	244	56	3	2	1	11	38	3	12	4	.230	.271	.270	.542	.041	.268	14	4	.242	43	-17	+1	—	—	+8	-0.9
2010	21	INTL	Tiburones de La Guaira	143	123	37	3	0	0	12	11	1	3	3	.301	.368	.325	.693	.024	.330	8	8	.306	92	-1	-1	—	—	+4	0.2
2011	22	AA	Carolina Mudcats	265	239	62	6	0	0	16	39	0	11	7	.259	.306	.285	.590	.025	.305	15	6	.262	59	-12	-1	—	—	+8	-0.5
2011	22	ROK	AZL Reds	25	17	8	3	0	0	6	1	2	4	1	.471	.640	.647	1.287	.176	.500	4	24	.561	288	+5	+0	—	—	+1	0.7
2011	22	INTL	Venezuela	135	122	38	5	1	0	8	17	0	4	2	.311	.354	.369	.723	.057	.358	13	6	.315	100	-0	+0	—	—	+4	0.4
2012	23	AAA	Louisville Bats	144	129	24	3	0	1	7	16	0	0	0	.186	.228	.233	.460	.047	.204	11	5	.201	12	-14	+0	—	—	+4	-1.0
2012	23	AA	Pensacola Blue Wahoos	160	143	30	1	0	0	16	17	1	2	3	.210	.294	.217	.511	.007	.238	11	10	.246	47	-10	-1	—	—	+5	-0.6
2012	23	INTL	Tiburones de La Guaira	94	85	19	1	0	1	7	10	1	0	1	.224	.290	.271	.561	.047	.243	11	7	.259	57	-5	-0	—	—	+3	-0.2
2013	24	AA	Chattanooga Lookouts	478	420	98	12	2	5	40	49	3	10	4	.233	.305	.307	.612	.074	.253	10	8	.273	67	-18	+0	—	—	+14	-0.4
2013	24	INTL	Tiburones de La Guaira	96	87	21	4	0	0	6	15	1	1	0	.241	.298	.287	.585	.046	.292	16	6	.265	61	-4	+0	—	—	+3	-0.1
2014	25	MLB	Los Angeles Dodgers	162	149	27	3	0	1	10	28	2	0	0	.181	.242	.221	.464	.040	.217	17	6	.217	24	-14	+0	+8	+5	+5	0.4
2014	25	AAA	Albuquerque Isotopes	173	159	48	9	0	4	10	21	3	7	3	.302	.355	.434	.789	.132	.326	12	6	.351	127	+5	+0	—	—	+5	1.1
2014	25	INTL	Tiburones de La Guaira	127	111	26	5	1	0	11	20	0	4	0	.234	.303	.297	.601	.063	.286	16	9	.266	62	-5	+1	—	—	+4	-0.1
2015	26	MLB	Miami Marlins	157	142	40	7	1	1	11	16	0	0	1	.282	.333	.366	.700	.085	.307	10	7	.308	94	-1	-0	+3	+5	+4	1.2
2015	26	AAA	New Orleans Zephyrs	275	249	75	15	4	3	13	26	4	2	5	.301	.346	.430	.776	.129	.324	9	5	.334	114	+4	-2	—	—	+8	1.1
2015	26	INTL	Tiburones de La Guaira	67	62	11	0	0	0	4	7	0	1	0	.177	.227	.177	.405	.000	.200	10	6	.190	4	-7	+0	—	—	+2	-0.5
2016	27	MLB	Miami Marlins	214	194	48	12	0	1	11	27	1	2	1	.247	.291	.325	.616	.077	.280	13	5	.269	64	-9	+0	+2	+3	+6	0.3
2016	27	INTL	Tiburones de La Guaira	102	94	24	5	0	0	6	14	0	0	2	.255	.300	.309	.609	.053	.300	14	6	.273	67	-4	-1	—	—	+3	-0.2
2017	28	MLB	Miami Marlins	306	272	79	16	2	1	27	32	4	2	1	.290	.363	.375	.738	.085	.324	10	9	.333	113	+5	+0	+3	+4	+9	2.0
2017	28	A+	Jupiter Hammerheads	30	26	8	2	0	0	3	1	1	0	1	.308	.400	.385	.785	.077	.320	3	10	.361	134	+1	-0	—	—	+1	0.2
2018	29	MLB	Miami Marlins	528	488	123	13	0	11	24	69	9	6	3	.252	.299	.346	.645	.094	.272	13	5	.289	79	-12	+0	+12	+6	+15	2.1
2018	29	INTL	Tiburones de La Guaira	63	58	20	3	0	0	4	7	0	2	0	.345	.387	.397	.784	.052	.392	11	6	.350	126	+2	+0	—	—	+2	0.4
2019	30	MLB	Miami Marlins	526	483	137	29	1	5	32	62	5	9	5	.284	.335	.379	.713	.095	.314	12	6	.319	102	+1	-0	+2	+6	+15	2.4
2020	31	MLB	Miami Marlins	143	125	38	10	1	4	16	18	2	5	1	.304	.392	.496	.888	.192	.330	13	11	.393	159	+10	+1	+3	+2	+4	1.9
2021	32	MLB	Miami Marlins	539	495	131	30	3	9	37	74	5	13	3	.265	.322	.392	.714	.127	.295	14	7	.319	103	+2	+1	+1	+6	+15	2.5
2022	33	MLB	Miami Marlins	507	471	111	19	2	6	26	61	6	9	3	.236	.284	.323	.607	.087	.258	12	5	.274	68	-19	+1	+12	+5	+14	1.4
2023	34	MLB	Los Angeles Dodgers	423	385	91	16	1	5	26	48	5	8	3	.236	.293	.322	.615	.086	.255	11	6	.276	70	-15	+0	+7	+5	+12	1.1
2023	34	INTL	Tiburones de La Guaira	82	68	17	3	0	1	10	6	1	2	0	.250	.354	.338	.693	.088	.254	7	12	.310	95	-0	+0	—	—	+2	0.2
2024	35	MLB	Los Angeles Dodgers	337	307	87	21	0	6	23	34	3	8	2	.283	.339	.410	.750	.127	.301	10	7	.332	113	+5	+1	+11	+4	+10	3.0
2025	36	MLB	Los Angeles Dodgers	317	290	76	18	0	7	24	46	0	5	0	.262	.318	.397	.715	.134	.291	15	8	.317	101	+0	+1	+4	+1	+9	1.6
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			4159	3801	988	194	11	57	267	515	42	67	23	.260	.315	.362	.677	.102	.286	12	6	.303	90	-47	+4	+69	+52	+118	20.0

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
Miguel Rojas (OGILVIE)	37	60	31	46	55	.267/.324/.391	.124	.288	5	4	12%	7%	104	+0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Orlando Palmeiro 2006 · MLB	37	54	43→40	46→50	56	.257/.328/.373	.116	.275	9	8	11%	8%	101	+1.8	.245/.314/.348	.103	.271	7	6	12%	8%	89	+0.9	.239/.312/.288	.049	.269	0	0	10%	9%	67	-0.1
✕Mario Ivan Santana 2013 · AAA	37	51→61	40	46→45	50	.243/.293/.335	.092	.269	8	6	13%	6%	76	+0.0	.224/.275/.302	.078	.253	7	4	14%	6%	59	-1.1	.214/.266/.268	.054	.241	6	1	14%	5%	43	-0.9
✕Grimaldo Martinez 2006 · AAA	37	58→65	42→40	46→45	50	.282/.331/.393	.111	.309	9	7	12%	6%	106	+2.2	.267/.311/.354	.087	.294	7	6	11%	6%	88	+0.9	.263/.307/.333	.069	.290	5	6	11%	5%	77	+0.1
✕So Taguchi 2006 · MLB	37	55→58	46→45	52→50	47	.271/.314/.404	.133	.299	13	14	14%	6%	102	+1.9	.265/.323/.366	.101	.298	7	15	13%	7%	96	+1.5	.263/.328/.342	.079	.296	4	16	12%	8%	90	+0.5
✕Abel Martinez 2014 · AAA	37	54→63	44→45	46→50	47	.263/.308/.377	.114	.280	12	14	11%	5%	93	+1.3	.263/.311/.369	.106	.291	10	13	13%	5%	92	+1.2	.275/.324/.362	.087	.303	8	10	11%	5%	92	+0.4
✕Luis Alicea 2002 · MLB	37	57→61	41→40	45	53	.275/.335/.380	.106	.307	7	7	13%	8%	105	+2.1	.248/.321/.346	.098	.282	7	8	14%	9%	90	+1.0	.225/.319/.288	.063	.258	2	4	12%	12%	71	-0.1
✕Jerry Hairston Jr. 2013 · MLB	37	52→55	43→50	43→55	54	.251/.318/.366	.115	.270	11	7	12%	8%	95	+1.4	.234/.299/.339	.105	.254	10	5	12%	8%	79	+0.3	.210/.266/.271	.060	.227	5	0	10%	6%	47	-0.7
✕Heber Gomez 2015 · AAA	37	55→62	37→40	44→50	45	.262/.293/.334	.072	.292	4	8	12%	4%	74	-0.1	.248/.279/.325	.077	.276	5	6	12%	4%	66	-0.6	.244/.277/.307	.063	.272	4	2	11%	3%	59	-0.4
✕Carlos Ruiz 2016 · MLB	37	50→60	41→50	45	54	.240/.318/.343	.103	.268	8	5	14%	8%	89	+1.0	.241/.329/.352	.111	.283	10	7	17%	10%	96	+1.5	.245/.345/.349	.104	.296	10	6	19%	11%	99	+0.5
✕Chris Gomez 2007 · MLB	36	58→54	39→45	42→40	55	.278/.339/.364	.086	.299	7	6	10%	8%	102	+1.9	.270/.318/.360	.090	.303	6	5	12%	6%	92	+1.2	.279/.318/.346	.067	.318	3	1	13%	5%	84	+0.2
✕Benito Santiago 2002 · MLB	37	52→56	44→50	44→45	47	.253/.296/.375	.122	.285	11	7	16%	6%	87	+0.8	.267/.311/.415	.148	.297	15	5	15%	6%	105	+2.1	.274/.318/.431	.157	.301	17	3	15%	6%	106	+1.4
✕Sandy Alomar Jr. 2003 · MLB	37	54	45	42→40	47	.265/.301/.387	.122	.277	13	4	11%	4%	92	+1.2	.253/.289/.371	.118	.265	12	3	10%	5%	83	+0.6	.253/.287/.344	.091	.266	8	0	8%	4%	71	-0.1
✕Carlos Alberto Gastelum 2017 · AAA	37	56→66	35→40	46→55	50	.264/.318/.324	.060	.295	3	7	12%	6%	82	+0.5	.258/.307/.329	.071	.290	4	7	12%	5%	79	+0.3	.260/.306/.321	.061	.293	4	4	12%	5%	73	-0.1
✕Ricky Gutierrez 2005 · MLB	35	52→58	39→45	45	50	.248/.305/.330	.082	.276	7	5	13%	6%	79	+0.3	.211/.279/.293	.082	.254	7	8	19%	7%	59	-1.1	.167/.245/.189	.022	.211	0	4	19%	7%	17	-0.9
✕Joe Girardi 2002 · MLB	37	53→57	42→40	44→30	51	.258/.320/.362	.105	.300	10	4	17%	8%	94	+1.3	.233/.292/.327	.094	.271	8	5	16%	8%	73	-0.1	.221/.270/.283	.063	.255	2	2	14%	6%	43	-0.9
✕Domingo Castro 2016 · AAA	36	57→62	37→40	44→50	45	.270/.305/.334	.064	.302	5	7	13%	4%	79	+0.3	.249/.296/.316	.067	.291	4	8	15%	5%	72	-0.2	.249/.302/.285	.036	.298	1	6	16%	5%	62	-0.3
✕Issmael Salas 2019 · AAA	37	49→51	45→50	44→50	47	.241/.289/.362	.121	.263	12	6	14%	5%	82	+0.5	.245/.285/.380	.135	.268	16	6	15%	5%	85	+0.7	.252/.287/.386	.133	.270	16	1	14%	4%	86	+0.5
✕Sergio Gastelum 2015 · AAA	36	55→64	39→40	42→50	48	.259/.315/.346	.086	.293	6	7	14%	6%	88	+0.9	.244/.294/.318	.074	.279	5	8	14%	5%	71	-0.3	.243/.290/.290	.047	.277	2	3	13%	5%	61	-0.4
✕A.J. Ellis 2018 · MLB	37	45→51	48→45	45→40	56	.229/.317/.370	.141	.255	16	5	18%	10%	96	+1.5	.245/.335/.366	.121	.296	12	6	20%	11%	102	+1.9	.265/.374/.335	.070	.343	3	0	20%	14%	102	+0.6
✕Jeff Reboulet 2001 · MLB	37	50	39→40	48→40	56	.235/.313/.318	.083	.275	6	10	16%	10%	80	+0.4	.243/.328/.348	.105	.294	7	6	18%	11%	94	+1.3	.246/.335/.351	.105	.295	7	2	17%	11%	92	+0.6

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Career Projections (MLE)