Starling Marte — OGILVIE

Starling MarteLF Kansas City Royals

Age 37 R/R 6'0" / 195 lbs MLB HR -5%BB +4% Svc 12.942 · Ctrl thru 2026 peak 0.7 · 2026

wRC+†vL 115108vR 88

AVG/OBP/SLG.274 / .338 / .407

PA230

HR6

SB8

K%21

BB%7

MLB%100%

Scouting · now → future

HIT

58→58

PWR

48→48

SPD

65→65

FLD

70→70

EYE

46↘45

trajectory · 10 yrs

0.6peak

2026

Contract

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

Status FA

MLB Debut 2012

Service 12.942 yrs.days

Team Control Through 2026

First FA Year 2027

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$1M	+0.7	$3M	+$2M
Totals		$1M		$3M	+$2M

Options · projected decision
2027	CLUB OPT	$21.0M / $0.0M buyout	DECLINE
2028	CLUB OPT	$11.5M / $2.0M buyout	DECLINE
2029	CLUB OPT	$12.5M / $2.0M 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
2007	18	ROK	DSL Pirates	156	136	25	3	1	1	6	42	7	16	2	.184	.255	.243	.498	.059	.255	27	4	.206	16	-15	+2	+0	-2	+4	-1.0
2008	19	ROK	DSL Pirates	293	263	59	7	1	7	10	76	14	20	8	.224	.289	.338	.628	.114	.286	26	3	.267	63	-12	+1	+0	-3	+8	-0.7
2009	20	A	West Virginia Power	247	226	58	7	4	3	7	72	12	24	7	.257	.314	.363	.677	.106	.359	29	3	.288	79	-6	+2	+0	-3	+7	0.0
2010	21	A+	3 teams	348	315	81	20	4	2	11	116	16	27	10	.257	.316	.365	.681	.108	.397	33	3	.299	87	-5	+1	+0	-4	+10	0.2
2011	22	AA	2 teams	706	668	210	42	10	13	18	160	14	33	14	.314	.346	.466	.811	.151	.395	23	3	.346	123	+18	+1	+0	-8	+20	3.2
2012	23	AAA	3 teams	739	688	169	26	18	17	28	190	14	41	18	.246	.289	.410	.699	.164	.313	26	4	.304	91	-8	+1	-3	-8	+21	0.4
2013	24	MLB	Pittsburgh Pirates	566	510	144	25	12	13	25	138	24	41	15	.282	.345	.455	.800	.173	.364	24	4	.345	122	+14	+2	-0	-6	+16	2.7
2014	25	MLB	Pittsburgh Pirates	545	495	141	29	5	15	33	131	17	30	11	.285	.350	.455	.805	.170	.361	24	6	.356	131	+19	+2	-3	-6	+15	2.8
2015	26	MLB	Pittsburgh Pirates	633	579	168	31	2	18	27	123	19	30	10	.290	.342	.444	.786	.154	.339	19	4	.338	117	+12	+2	+2	-7	+18	2.8
2016	27	MLB	Pittsburgh Pirates	529	489	150	35	2	10	23	104	16	47	12	.307	.358	.448	.806	.141	.373	20	4	.349	125	+15	+5	-0	-6	+15	2.9
2017	28	MLB	3 teams	503	457	125	10	3	11	28	96	14	33	4	.274	.335	.381	.715	.107	.323	19	6	.315	99	-0	+5	+1	-5	+14	1.5
2018	29	MLB	Pittsburgh Pirates	606	559	155	31	5	21	35	109	8	33	14	.277	.329	.463	.792	.186	.310	18	6	.343	121	+14	+1	+8	+2	+17	4.3
2019	30	MLB	Pittsburgh Pirates	586	539	162	29	5	25	25	94	16	25	6	.301	.350	.512	.862	.212	.323	16	4	.368	140	+27	+3	+1	+2	+17	5.0
2020	31	MLB	Miami Marlins	250	228	65	14	1	7	12	41	9	10	2	.285	.345	.447	.793	.162	.320	16	5	.341	119	+5	+1	+1	+1	+7	1.6
2021	32	MLB	Oakland Athletics	526	467	147	27	3	13	43	99	13	47	5	.315	.388	.469	.857	.154	.375	19	8	.373	144	+26	+7	+2	+2	+15	5.3
2022	33	MLB	New York Mets	505	466	141	26	5	16	26	97	13	18	9	.303	.356	.483	.839	.180	.354	19	5	.366	138	+22	+0	-3	-5	+14	2.8
2023	34	MLB	New York Mets	341	315	80	7	1	5	16	69	8	24	4	.254	.307	.330	.637	.076	.311	20	5	.283	75	-10	+3	-6	-4	+10	-0.7
2024	35	MLB	New York Mets	370	335	90	13	2	7	27	81	3	16	1	.269	.329	.382	.711	.113	.333	22	7	.309	95	-2	+3	-8	-4	+10	-0.1
2025	36	MLB	New York Mets	329	293	76	14	0	9	22	68	9	7	2	.259	.330	.399	.730	.140	.305	21	7	.321	104	+2	+1	+0	-4	+9	0.9
▸ 2026 Season (actual · ROS · total)
2026	37	MLB	Kansas City Royals	24	23	5	2	0	0	0	7	1	0	0	.217	.250	.304	.554	.087	.312	29	0	.248	48	-1	+0	+0	-0	+1	-0.1
ROS	37	MLB	KC	206	186	52	8	1	5	14	44	4	8	2	.280	.343	.414	.757	.134	.332	21	7	.335	115	+3	+1	-0	-2	+6	0.8
TOT	37	MLB	KC	230	209	57	10	1	5	14	51	5	8	2	.273	.333	.402	.735	.129	.338	22	6	.326	108	+2	+1	+0	-2	+7	0.7
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	38	MLB	KC	144	130	35	5	1	3	10	32	3	5	1	.269	.336	.392	.728	.123	.328	22	7	.324	106	+1	+1	-8	-2	+4	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			9128	8344	2333	409	86	221	446	1982	253	535	157	.280	.335	.429	.764	.149	.342	22	5	.331	112	+120	+44	-15	-70	+259	34.4
/ 162G	—			650	594	166	29	6	16	32	141	18	38	11	.279	.335	.429	.765	.150	.341	22	5	.331	112	+9	+3	-1	-5	+18	2.5

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
2007	18	ROK	DSL Pirates	156	132	29	4	1	1	10	29	7	16	2	.220	.309	.288	.597	.068	.272	19	6	.268	63	-7	+2	—	—	+4	0.0
2008	19	ROK	DSL Pirates	293	257	76	10	2	9	16	53	14	20	8	.296	.369	.455	.825	.160	.340	18	5	.362	135	+12	+1	—	—	+8	2.1
2009	20	A	West Virginia Power	247	221	69	9	5	3	12	55	12	24	7	.312	.380	.439	.819	.127	.400	22	5	.365	137	+10	+2	—	—	+7	2.0
2010	21	A+	Bradenton Marauders	253	222	70	16	5	0	12	59	15	22	8	.315	.390	.432	.822	.117	.424	23	5	.365	138	+11	+1	—	—	+7	1.9
2010	21	ROK	GCL Pirates	28	26	9	3	0	2	1	6	1	4	1	.346	.393	.692	1.085	.346	.389	21	4	.467	215	+4	+0	—	—	+1	0.5
2010	21	INTL	Aguilas Cibaenas	67	61	13	1	0	1	4	17	0	1	1	.213	.262	.279	.540	.066	.279	25	6	.240	42	-4	-0	—	—	+2	-0.3
2011	22	AA	Altoona Curve	572	536	178	38	8	12	22	100	11	24	12	.332	.371	.500	.871	.168	.390	17	4	.382	151	+33	+0	—	—	+16	5.0
2011	22	INTL	Leones del Escogido	134	122	40	7	2	2	6	32	3	9	2	.328	.374	.467	.841	.139	.422	24	4	.366	138	+6	+1	—	—	+4	1.1
2012	23	MLB	Pittsburgh Pirates	182	167	43	3	6	5	8	50	3	12	5	.257	.303	.437	.740	.180	.333	27	4	.319	102	+0	+0	-3	-8	+5	-0.5
2012	23	AAA	Indianapolis Indians	431	388	111	21	13	12	28	91	10	21	12	.286	.350	.500	.850	.214	.344	21	6	.368	140	+19	-1	—	—	+12	3.2
2012	23	INTL	Leones del Escogido	126	112	34	4	4	2	13	23	1	8	1	.304	.381	.464	.845	.161	.368	18	10	.375	145	+6	+1	—	—	+4	1.1
2013	24	MLB	Pittsburgh Pirates	566	510	143	26	10	12	25	138	24	41	15	.280	.343	.441	.785	.161	.363	24	4	.346	123	+14	+2	-0	-6	+16	2.7
2014	25	MLB	Pittsburgh Pirates	545	495	144	29	6	13	33	131	17	30	11	.291	.356	.453	.808	.162	.373	24	6	.360	134	+21	+2	-3	-6	+15	3.0
2015	26	MLB	Pittsburgh Pirates	633	579	166	30	2	19	27	123	19	30	10	.287	.339	.444	.783	.157	.333	19	4	.345	122	+16	+2	+2	-7	+18	3.1
2016	27	MLB	Pittsburgh Pirates	529	489	152	34	5	9	23	104	16	47	12	.311	.362	.456	.818	.145	.380	20	4	.364	136	+22	+5	-0	-6	+15	3.6
2017	28	MLB	Pittsburgh Pirates	339	309	85	7	2	7	20	63	8	21	4	.275	.335	.379	.714	.104	.324	19	6	.322	104	+2	+3	+1	-5	+10	1.0
2017	28	AAA	Indianapolis Indians	40	36	12	1	0	1	2	8	2	3	0	.333	.400	.444	.844	.111	.407	20	5	.382	150	+2	+1	—	—	+1	0.4
2017	28	INTL	Leones del Escogido	124	112	31	3	3	3	6	25	4	9	0	.277	.336	.438	.774	.161	.329	20	5	.339	117	+2	+2	—	—	+4	0.8
2018	29	MLB	Pittsburgh Pirates	606	559	155	32	5	20	35	109	8	33	14	.277	.329	.460	.789	.182	.312	18	6	.346	123	+16	+1	+8	+2	+17	4.5
2019	30	MLB	Pittsburgh Pirates	586	539	159	31	6	23	25	94	16	25	6	.295	.345	.503	.848	.208	.319	16	4	.369	140	+27	+3	+1	+2	+17	5.1
2020	31	MLB	Miami Marlins	250	228	64	14	1	6	12	41	9	10	2	.281	.341	.430	.771	.149	.319	16	5	.344	121	+6	+1	+1	+1	+7	1.7
2021	32	MLB	Oakland Athletics	526	467	145	27	3	12	43	99	13	47	5	.310	.384	.458	.843	.148	.372	19	8	.375	145	+27	+7	+2	+2	+15	5.4
2022	33	MLB	New York Mets	505	466	136	24	5	16	26	97	13	18	9	.292	.347	.468	.814	.176	.340	19	5	.361	134	+20	+0	-3	-5	+14	2.6
2023	34	MLB	New York Mets	341	315	78	7	1	5	16	69	8	24	4	.248	.301	.324	.625	.076	.303	20	5	.284	76	-9	+3	-6	-4	+10	-0.7
2024	35	MLB	New York Mets	370	335	90	13	3	7	27	81	3	16	1	.269	.329	.388	.717	.119	.333	22	7	.318	102	+1	+3	-8	-4	+10	0.2
2025	36	MLB	New York Mets	329	293	79	14	0	9	22	68	9	7	2	.270	.340	.410	.749	.140	.318	21	7	.332	113	+5	+1	+0	-4	+9	1.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			6307	5751	1639	291	55	163	342	1267	166	361	100	.285	.343	.440	.783	.155	.340	20	5	.346	123	+166	+32	-7	-47	+179	32.9

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
Starling Marte (OGILVIE)	37	58	48	65	45	.274/.338/.407	.134	.332	6	8	21%	7%	115	+1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕Scott Podsednik 2012 · MLB	36	58→65	41→45	57→65	50	.277/.328/.380	.103	.317	7	28	15%	7%	101	+1.8	.251/.295/.330	.079	.299	6	21	17%	6%	74	-0.1	.260/.295/.302	.042	.310	2	25	16%	4%	65	-0.5
✕Manny Martinez 2008 · AAA	37	54→60	48→50	51→55	52	.270/.333/.415	.145	.296	16	23	15%	8%	114	+2.7	.249/.310/.357	.108	.296	9	18	18%	7%	89	+0.9	.251/.314/.342	.091	.304	6	17	18%	7%	84	+0.4
✕Rene Reyes 2015 · AAA	37	53→63	48→55	51→50	49	.262/.327/.404	.142	.328	15	14	24%	9%	108	+2.3	.264/.325/.410	.146	.322	16	8	22%	8%	109	+2.4	.266/.328/.414	.148	.313	16	5	20%	8%	109	+1.0
✕Rajai Davis 2017 · MLB	36	51→61	46→50	62→70	46	.251/.302/.387	.137	.295	13	39	20%	6%	93	+1.3	.232/.287/.350	.118	.288	11	39	22%	6%	77	+0.1	.226/.276/.326	.101	.285	9	43	23%	5%	63	-0.4
✕Manny Rodriguez 2019 · AAA	37	50→60	48→55	52→50	46	.251/.294/.390	.139	.274	16	17	16%	5%	91	+1.1	.221/.267/.323	.102	.258	10	6	18%	6%	61	-1.0	.208/.254/.290	.082	.242	8	0	18%	5%	46	-1.8
✕Jolbert Cabrera 2011 · MLB	38	54→51	45→50	52→50	43	.264/.307/.396	.132	.314	12	12	20%	5%	98	+1.6	.254/.292/.398	.144	.296	15	8	19%	4%	92	+1.2	.258/.288/.416	.158	.294	17	2	19%	3%	95	+1.0
●Jeff Conine 2004 · MLB	38	56→63	50→55	50	53	.280/.339/.443	.163	.295	17	8	12%	8%	124	+3.4	.277/.338/.422	.145	.304	14	6	13%	8%	117	+2.9	.277/.342/.406	.129	.309	11	4	13%	8%	109	+2.0
✕Eric Young Sr. 2004 · MLB	37	55→62	43→45	53→60	57	.264/.330/.382	.118	.272	10	28	8%	8%	104	+2.0	.256/.339/.371	.115	.271	8	23	9%	10%	105	+2.1	.250/.340/.353	.103	.269	5	22	8%	11%	98	+0.7
✕Henry Mateo 2013 · AAA	36	59→65	41→45	60	49	.281/.337/.383	.103	.333	8	31	18%	7%	106	+2.2	.261/.308/.341	.080	.313	4	24	17%	5%	82	+0.5	.261/.307/.329	.069	.312	2	22	16%	5%	76	+0.1
✕Lew Ford 2013 · MLB	36	50→60	52→50	52→50	48	.257/.308/.430	.173	.283	20	14	18%	6%	108	+2.3	.248/.298/.413	.165	.274	18	9	17%	6%	98	+1.6	.269/.321/.418	.149	.289	14	0	12%	6%	107	+0.5
✕Brandon Phillips 2018 · MLB	37	59→61	44→55	47→55	45	.286/.320/.407	.120	.309	12	15	12%	4%	105	+2.1	.251/.296/.378	.127	.283	12	8	16%	5%	89	+0.9	.221/.270/.335	.114	.257	11	2	18%	5%	64	-0.2
✕Randy Winn 2010 · MLB	36	59→63	42→50	55	53	.282/.339/.399	.117	.319	8	17	14%	8%	111	+2.5	.252/.317/.372	.120	.292	10	15	16%	9%	95	+1.4	.237/.309/.359	.122	.269	11	15	16%	9%	78	+0.1
✕Terry Shumpert 2002 · MLB	35	53	49→50	58→55	51	.264/.328/.427	.163	.293	14	21	16%	8%	115	+2.7	.240/.310/.389	.149	.270	14	14	16%	8%	98	+1.6	.226/.299/.358	.132	.250	13	9	15%	8%	83	+0.3
●Chris Roberson 2017 · AAA	37	57→67	47→55	52→55	44	.284/.321/.426	.143	.321	14	23	16%	4%	111	+2.5	.278/.314/.427	.149	.318	14	19	17%	4%	108	+2.3	.294/.330/.454	.160	.330	16	15	16%	4%	123	+2.1
✕Brett Gardner 2020 · MLB	36	49→59	53→55	55→65	55	.248/.329/.430	.182	.277	20	15	19%	10%	116	+2.8	.232/.327/.398	.166	.273	18	10	21%	12%	107	+2.2	.213/.328/.348	.135	.260	13	7	22%	14%	91	+0.6
✕Chris Dickerson 2017 · MLB	35	52→55	45→50	54→60	45	.248/.313/.378	.129	.339	12	20	29%	8%	95	+1.4	.227/.305/.360	.133	.324	13	13	31%	9%	88	+0.9	.209/.303/.334	.125	.305	12	11	32%	10%	77	+0.1
●Johnny Damon 2011 · MLB	37	56→65	50→55	54→55	59	.277/.356/.441	.164	.306	16	15	15%	11%	129	+3.7	.260/.328/.411	.151	.288	14	14	14%	9%	110	+2.4	.257/.321/.405	.149	.280	14	16	14%	8%	102	+1.3
✕Chris Denorfia 2015 · MLB	35	53→63	43→50	53→55	50	.258/.314/.373	.115	.298	10	15	17%	8%	94	+1.3	.246/.299/.352	.106	.305	9	10	21%	7%	82	+0.5	.255/.301/.355	.100	.320	9	3	22%	6%	79	+0.1
✕Orlando Merced 2003 · MLB	36	53	50	54→45	53	.266/.334/.425	.158	.308	17	12	19%	9%	116	+2.8	.246/.307/.391	.145	.281	13	10	17%	8%	96	+1.5	.229/.283/.369	.140	.258	8	8	14%	7%	74	-0.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)