Starling Marte

RF Kansas City Royals

Age 38 R/R 6'0" / 195 lbs MLB HR -15%K -8% Svc 13.785 · Ctrl thru 2027

Overview

MLBExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	35	MLBNYM	370	.269/.329/.388	7	16	105	0.1
2025	36	MLBNYM	329	.270/.340/.410	9	7	116	1.1
2026	37	MLBKC	168	.242/.301/.314	2	2	78	-0.3
2027PROJ	38	MLBKC	125	.267/.330/.399	3	3	110	0.3
2028PROJ	39	MLBKC	80	.254/.316/.372	2	1	98	-0.8

Last 3 seasons WAR 1.0 · Next 2 projected WAR -0.5Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service13.785First FA2028Options3

2027Ext / FA-deal$2M

Skills · percentileStatcast 2024-2026

xwOBA62

Bat Spd61

Barrel%47

Avg EV42

Speed12

CompsJeff Conine (age 38) · So Taguchi (age 38) · Johnny Damon (age 38)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 113110vR 99

AVG/OBP/SLG.267 / .330 / .399

PA125

HR3

K%22

BB%6

BABIP327

ISO123

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Splits · Contract

ToolsStatcast %ile · 2024-2026

CONTACT

xAVG

610.260

POWER

Barrel%

477.8

Avg EV

4288.5

Bat Spd

6172.5

SPEED

Sprint

1225.6

Platoon Splits2024-2025 · 699 PA

vs LHP

vs RHP

Edge

260

439

—

wRC+

120

◀◀L

wOBA

345

309

◀L

ISO

146

119

◀◀L

BABIP

348

314

◀L

21.2%

21.4%

—

BB%

8.5%

5.9%

◀◀L

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

Status FA

MLB Debut 2012

Service 13.785 yrs.days

Team Control Through 2027

First FA Year 2028

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$2M	+0.3	$1M	-$0.6M
Totals		$2M		$1M	-$0.6M

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 Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2007	18	ROK	DSL Pirates	—	156	132	29	4	1	1	10	29	7	16	2	220	309	288	597	68	272	19	6	268	12	—	—	—	—	—	—
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	40	—	—	—	—	—	—
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	91	—	—	—	—	—	—
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	88	—	—	—	—	—	—
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	94	—	—	—	—	—	—
2010	21	INTL	Aguilas Cibaenas	—	67	61	13	1	0	1	4	17	0	1	1	213	262	279	540	66	279	25	6	240	49	—	—	—	—	—	—
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	128	—	—	—	—	—	—
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	134	—	—	—	—	—	—
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	105	+1	+0	-3	-8	+4	-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	102	—	—	—	—	—	—
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	140	—	—	—	—	—	—
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	120	+13	+2	-0	-6	+12	2.2
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	131	+20	+2	-3	-6	+12	2.5
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	119	+15	+2	+2	-7	+14	2.6
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	128	+18	+5	-0	-6	+11	2.9
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	106	+2	+3	+1	-5	+7	0.8
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	114	—	—	—	—	—	—
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	115	—	—	—	—	—	—
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	121	+15	+1	+8	+2	+13	4.0
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	138	+27	+3	+1	+2	+13	4.6
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	125	+7	+1	+1	+1	+5	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	141	+25	+7	+2	+2	+11	4.9
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	136	+22	+0	-3	-5	+11	2.5
2023	34	MLB	New York Mets	—	341	315	78	7	1	5	16	69	8	24	4	248	301	324	625	76	303	20	5	284	81	-8	+3	-6	-4	+7	-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	105	+2	+3	-8	-4	+8	0.1
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	116	+6	+1	+0	-4	+7	1.1
2026	37	MLB	Kansas City Royals	—	168	153	37	5	0	2	9	41	4	2	2	242	301	314	615	72	312	24	5	279	78	-4	-0	+0	-2	+4	-0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	6475	5904	1676	296	55	165	351	1308	170	363	102	284	342	436	778	153	339	20	5	345	119	+150	+32	-7	-49	+140	27.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	18	ROK MLE	DSL Pirates	—	156	135	21	3	1	0	7	35	7	16	2	156	235	193	427	37	188	22	4	186	12	—	—	—	—	—	—
2008	19	ROK MLE	DSL Pirates	—	293	262	49	6	1	4	11	65	14	20	8	187	258	263	521	76	221	22	4	227	40	—	—	—	—	—	—
2009	20	A MLE	West Virginia Power	—	247	225	61	7	5	2	8	74	12	24	7	271	331	373	704	102	375	30	3	303	91	—	—	—	—	—	—
2010	21	A+ MLE	Bradenton Marauders	—	253	225	58	14	3	0	9	85	15	22	8	258	329	347	676	89	396	34	4	298	88	—	—	—	—	—	—
2010	21	ROK MLE	GCL Pirates	—	28	26	6	2	0	1	1	9	1	4	1	231	286	423	709	192	287	32	4	307	94	—	—	—	—	—	—
2011	22	AA MLE	Altoona Curve	—	572	543	176	36	8	10	15	125	11	24	12	324	355	475	830	151	402	22	3	358	128	—	—	—	—	—	—
2012	23	MLB MLE	Pittsburgh Pirates	—	182	167	43	3	6	5	8	50	3	12	5	257	303	437	740	180	333	27	4	323	105	+1	+0	-3	-8	+4	-0.5
2012	23	AAA MLE	Indianapolis Indians	—	431	400	104	20	12	10	16	108	10	21	12	260	305	445	750	185	321	25	4	319	102	—	—	—	—	—	—
2013	24	MLB MLE	Pittsburgh Pirates	—	566	512	143	25	10	13	23	138	24	41	15	279	340	443	783	164	363	24	4	345	120	+13	+2	-0	-6	+12	2.2
2014	25	MLB MLE	Pittsburgh Pirates	—	545	495	144	28	6	14	33	131	17	30	11	291	356	457	813	166	373	24	6	362	131	+20	+2	-3	-6	+12	2.5
2015	26	MLB MLE	Pittsburgh Pirates	—	633	582	168	29	2	21	24	123	19	30	10	289	338	454	791	165	333	19	4	345	119	+15	+2	+2	-7	+14	2.6
2016	27	MLB MLE	Pittsburgh Pirates	—	529	494	153	33	5	10	18	104	16	47	12	310	354	457	812	148	380	20	3	357	128	+18	+5	-0	-6	+11	2.9
2017	28	MLB MLE	Pittsburgh Pirates	—	339	309	86	7	2	8	20	63	8	21	4	278	338	392	730	113	324	19	6	325	106	+2	+3	+1	-5	+7	0.8
2017	28	AAA MLE	Indianapolis Indians	—	40	37	11	1	0	1	1	9	2	3	0	297	350	405	755	108	385	22	2	336	114	—	—	—	—	—	—
2018	29	MLB MLE	Pittsburgh Pirates	—	606	561	156	31	5	22	33	109	8	33	14	278	327	469	796	191	312	18	5	347	121	+15	+1	+8	+2	+13	4.0
2019	30	MLB MLE	Pittsburgh Pirates	—	586	540	160	30	6	25	24	94	16	25	6	296	345	513	858	217	319	16	4	372	138	+27	+3	+1	+2	+13	4.6
2020	31	MLB MLE	Miami Marlins	—	250	229	66	15	1	6	11	41	9	10	2	288	345	441	786	153	319	16	4	353	125	+7	+1	+1	+1	+5	1.7
2021	32	MLB MLE	Oakland Athletics	—	526	469	146	26	3	13	41	99	13	47	5	311	382	463	845	151	372	19	8	376	141	+25	+7	+2	+2	+11	4.9
2022	33	MLB MLE	New York Mets	—	505	466	139	25	5	16	26	97	13	18	9	298	352	476	829	178	340	19	5	370	136	+22	+0	-3	-5	+11	2.5
2023	34	MLB MLE	New York Mets	—	341	316	80	7	1	5	15	69	8	24	4	253	304	329	633	76	303	20	4	288	81	-8	+3	-6	-4	+7	-0.7
2024	35	MLB MLE	New York Mets	—	370	336	93	14	3	7	26	81	3	16	1	277	334	399	733	122	333	22	7	324	105	+2	+3	-8	-4	+8	0.1
2025	36	MLB MLE	New York Mets	—	329	293	81	15	0	9	22	68	9	7	2	276	346	420	765	143	318	21	7	340	116	+6	+1	+0	-4	+7	1.1
2026	37	MLB MLE	Kansas City Royals	—	168	153	37	5	0	2	9	41	4	2	2	242	301	314	615	72	312	24	5	283	78	-4	-0	+0	-2	+4	-0.3
2007	18	ROK MLE	DSL Pirates	—	156	135	21	3	1	0	7	35	7	16	2	156	235	193	427	37	208	22	4	186	12	—	—	—	—	—	—
2007	18	ROK RAW	DSL Pirates	—	156	132	29	4	1	1	10	29	7	16	2	220	309	288	597	68	272	19	6	268	12	—	—	—	—	—	—
2008	19	ROK MLE	DSL Pirates	—	293	262	49	6	1	4	11	65	14	20	8	187	258	263	521	76	231	22	4	227	40	—	—	—	—	—	—
2008	19	ROK RAW	DSL Pirates	—	293	257	76	10	2	9	16	53	14	20	8	296	369	455	825	160	340	18	5	362	40	—	—	—	—	—	—
2009	20	A MLE	West Virginia Power	—	247	225	61	7	5	2	8	74	12	24	7	271	331	373	704	102	391	30	3	303	91	—	—	—	—	—	—
2009	20	A RAW	West Virginia Power	—	247	221	69	9	5	3	12	55	12	24	7	312	380	439	819	127	400	22	5	365	91	—	—	—	—	—	—
2010	21	A+ MLE	3 teams	—	348	315	80	20	4	2	11	116	16	27	10	254	313	362	675	108	392	33	3	299	88	—	—	—	—	—	—
2010	21	A+ RAW	3 teams	—	348	309	92	20	5	3	17	82	16	27	10	298	365	424	789	126	394	24	5	349	88	—	—	—	—	—	—
2011	22	AA MLE	2 teams	—	706	667	217	44	10	12	19	154	14	33	14	325	357	475	832	150	406	22	3	358	128	—	—	—	—	—	—
2011	22	AA RAW	2 teams	—	706	658	218	45	10	14	28	132	14	33	14	331	371	494	865	163	395	19	4	379	128	—	—	—	—	—	—
2012	23	AAA MLE	3 teams	—	739	687	176	27	21	18	29	190	14	41	18	256	300	435	735	179	326	26	4	320	103	—	—	—	—	—	—
2012	23	AAA RAW	3 teams	—	739	667	188	28	23	19	49	164	14	41	18	282	344	478	822	196	346	22	7	357	103	—	—	—	—	—	—
2013	24	MLB MLE	Pittsburgh Pirates	—	566	512	143	25	10	13	23	138	24	41	15	279	340	443	783	164	359	24	4	345	120	+13	+2	-0	-6	+12	2.2
2013	24	MLB RAW	Pittsburgh Pirates	—	566	510	143	26	10	12	25	138	24	41	15	280	343	441	785	161	363	24	4	346	120	+13	+2	-0	-6	+12	2.2
2014	25	MLB MLE	Pittsburgh Pirates	—	545	495	144	28	6	14	33	131	17	30	11	291	356	457	813	166	371	24	6	362	131	+20	+2	-3	-6	+12	2.5
2014	25	MLB RAW	Pittsburgh Pirates	—	545	495	144	29	6	13	33	131	17	30	11	291	356	453	808	162	373	24	6	360	131	+20	+2	-3	-6	+12	2.5
2015	26	MLB MLE	Pittsburgh Pirates	—	633	582	168	29	2	21	24	123	19	30	10	289	338	454	791	165	332	19	4	345	119	+15	+2	+2	-7	+14	2.6
2015	26	MLB RAW	Pittsburgh Pirates	—	633	579	166	30	2	19	27	123	19	30	10	287	339	444	783	157	333	19	4	345	119	+15	+2	+2	-7	+14	2.6
2016	27	MLB MLE	Pittsburgh Pirates	—	529	494	153	33	5	10	18	104	16	47	12	310	354	457	812	148	376	20	3	357	128	+18	+5	-0	-6	+11	2.9
2016	27	MLB RAW	Pittsburgh Pirates	—	529	489	152	34	5	9	23	104	16	47	12	311	362	456	818	145	380	20	4	364	128	+18	+5	-0	-6	+11	2.9
2017	28	MLB MLE	3 teams	—	503	457	129	10	3	11	28	96	14	33	4	282	343	389	732	107	334	19	6	326	107	+4	+5	+1	-5	+11	1.6
2017	28	MLB RAW	3 teams	—	503	457	128	11	5	11	28	96	14	33	4	280	341	398	739	118	331	19	6	331	107	+4	+5	+1	-5	+11	1.6
2018	29	MLB MLE	Pittsburgh Pirates	—	606	561	156	31	5	22	33	109	8	33	14	278	327	469	796	191	309	18	5	347	121	+15	+1	+8	+2	+13	4.0
2018	29	MLB RAW	Pittsburgh Pirates	—	606	559	155	32	5	20	35	109	8	33	14	277	329	460	789	182	312	18	6	346	121	+15	+1	+8	+2	+13	4.0
2019	30	MLB MLE	Pittsburgh Pirates	—	586	540	160	30	6	25	24	94	16	25	6	296	345	513	858	217	318	16	4	372	138	+27	+3	+1	+2	+13	4.6
2019	30	MLB RAW	Pittsburgh Pirates	—	586	539	159	31	6	23	25	94	16	25	6	295	345	503	848	208	319	16	4	369	138	+27	+3	+1	+2	+13	4.6
2020	31	MLB MLE	Miami Marlins	—	250	229	66	15	1	6	11	41	9	10	2	288	345	441	786	153	328	16	4	353	125	+7	+1	+1	+1	+5	1.7
2020	31	MLB RAW	Miami Marlins	—	250	228	64	14	1	6	12	41	9	10	2	281	341	430	771	149	319	16	5	344	125	+7	+1	+1	+1	+5	1.7
2021	32	MLB MLE	Oakland Athletics	—	526	469	146	26	3	13	41	99	13	47	5	311	382	463	845	151	370	19	8	376	141	+25	+7	+2	+2	+11	4.9
2021	32	MLB RAW	Oakland Athletics	—	526	467	145	27	3	12	43	99	13	47	5	310	384	458	843	148	372	19	8	375	141	+25	+7	+2	+2	+11	4.9
2022	33	MLB MLE	New York Mets	—	505	466	139	25	5	16	26	97	13	18	9	298	352	476	829	178	348	19	5	370	136	+22	+0	-3	-5	+11	2.5
2022	33	MLB RAW	New York Mets	—	505	466	136	24	5	16	26	97	13	18	9	292	347	468	814	176	340	19	5	361	136	+22	+0	-3	-5	+11	2.5
2023	34	MLB MLE	New York Mets	—	341	316	80	7	1	5	15	69	8	24	4	253	304	329	633	76	310	20	4	288	81	-8	+3	-6	-4	+7	-0.7
2023	34	MLB RAW	New York Mets	—	341	315	78	7	1	5	16	69	8	24	4	248	301	324	625	76	303	20	5	284	81	-8	+3	-6	-4	+7	-0.7
2024	35	MLB MLE	New York Mets	—	370	336	93	14	3	7	26	81	3	16	1	277	334	399	733	122	344	22	7	324	105	+2	+3	-8	-4	+8	0.1
2024	35	MLB RAW	New York Mets	—	370	335	90	13	3	7	27	81	3	16	1	269	329	388	717	119	333	22	7	318	105	+2	+3	-8	-4	+8	0.1
2025	36	MLB MLE	New York Mets	—	329	293	81	15	0	9	22	68	9	7	2	276	346	420	765	143	327	21	7	340	116	+6	+1	+0	-4	+7	1.1
2025	36	MLB RAW	New York Mets	—	329	293	79	14	0	9	22	68	9	7	2	270	340	410	749	140	318	21	7	332	116	+6	+1	+0	-4	+7	1.1
2026	37	MLB MLE	Kansas City Royals	—	168	153	37	5	0	2	9	41	4	2	2	242	301	314	615	72	312	24	5	283	78	-4	-0	+0	-2	+4	-0.3
2026	37	MLB RAW	Kansas City Royals	—	168	153	37	5	0	2	9	41	4	2	2	242	301	314	615	72	312	24	5	279	78	-4	-0	+0	-2	+4	-0.3
2007	18	ROK MLE	DSL Pirates	—	156	141	21	3	1	0	7	35	7	16	2	149	235	184	419	35	188	22	4	186	12	—	—	—	—	—	—
2008	19	ROK MLE	DSL Pirates	—	293	266	49	6	1	4	11	65	14	20	8	184	258	259	517	75	221	22	4	227	40	—	—	—	—	—	—
2009	20	A MLE	West Virginia Power	—	247	225	61	7	5	2	8	74	12	24	7	271	331	373	704	102	375	30	3	303	91	—	—	—	—	—	—
2010	21	A+ MLE	3 teams	—	348	318	80	20	4	2	11	116	16	27	10	252	313	358	671	107	385	33	3	299	88	—	—	—	—	—	—
2011	22	AA MLE	2 teams	—	706	667	217	44	10	12	19	154	14	33	14	325	357	475	832	150	402	22	3	358	128	—	—	—	—	—	—
2012	23	AAA MLE	3 teams	—	739	690	176	27	21	18	29	190	14	41	18	255	300	433	733	178	325	26	4	320	103	—	—	—	—	—	—
2013	24	MLB MLE	Pittsburgh Pirates	—	566	514	143	25	10	13	23	138	24	41	15	278	340	442	782	163	363	24	4	345	120	—	—	—	—	—	—
2014	25	MLB MLE	Pittsburgh Pirates	—	545	490	144	28	6	14	33	131	17	30	11	294	356	461	817	167	373	24	6	362	131	—	—	—	—	—	—
2015	26	MLB MLE	Pittsburgh Pirates	—	633	585	168	29	2	21	24	123	19	30	10	287	338	451	789	164	333	19	4	345	119	—	—	—	—	—	—
2016	27	MLB MLE	Pittsburgh Pirates	—	529	490	153	33	5	10	18	104	16	47	12	312	354	461	815	149	380	20	3	357	128	—	—	—	—	—	—
2017	28	MLB MLE	3 teams	—	503	456	129	10	3	11	28	96	14	33	4	283	343	390	733	107	330	19	6	326	107	—	—	—	—	—	—
2018	29	MLB MLE	Pittsburgh Pirates	—	606	560	156	31	5	22	33	109	8	33	14	279	327	470	797	191	312	18	5	347	121	—	—	—	—	—	—
2019	30	MLB MLE	Pittsburgh Pirates	—	586	541	160	30	6	25	24	94	16	25	6	296	345	512	857	216	319	16	4	372	138	—	—	—	—	—	—
2020	31	MLB MLE	Miami Marlins	—	250	228	66	15	1	6	11	41	9	10	2	289	345	443	788	154	319	16	4	353	125	—	—	—	—	—	—
2021	32	MLB MLE	Oakland Athletics	—	526	467	146	26	3	13	41	99	13	47	5	313	382	465	847	152	372	19	8	376	141	—	—	—	—	—	—
2022	33	MLB MLE	New York Mets	—	505	461	139	25	5	16	26	97	13	18	9	302	352	482	834	180	340	19	5	370	136	—	—	—	—	—	—
2023	34	MLB MLE	New York Mets	—	341	315	80	7	1	5	15	69	8	24	4	254	304	330	634	76	303	20	4	288	81	—	—	—	—	—	—
2024	35	MLB MLE	New York Mets	—	370	338	93	14	3	7	26	81	3	16	1	275	334	396	731	121	333	22	7	324	105	—	—	—	—	—	—
2025	36	MLB MLE	New York Mets	—	329	295	81	15	0	9	22	68	9	7	2	275	346	417	763	142	318	21	7	340	116	—	—	—	—	—	—
2026	37	MLB MLE	Kansas City Royals	—	168	153	37	5	0	2	9	41	4	2	2	242	301	314	615	72	312	24	5	283	78	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	35	MLB MLE	New York Mets	—	370	338	93	14	3	7	26	81	3	16	1	275	334	396	731	121	333	22	7	324	105	—	—	—	—	—	—
2025	36	MLB MLE	New York Mets	—	329	295	81	15	0	9	22	68	9	7	2	275	346	417	763	142	318	21	7	340	116	—	—	—	—	—	—
2026	37	MLB MLE	Kansas City Royals	—	168	153	37	5	0	2	9	41	4	2	2	242	301	314	615	72	312	24	5	283	78	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	38	MLB MLE	KC	100%	201	182	49	8	1	5	13	45	4	4	1	270	333	408	741	138	330	22	6	330	110	+2	+0	-0	-2	+4	0.3
▸ 2027 — real world (MLB)
2027	38	MLB CTX	KC	100%	125	114	30	5	0	3	8	28	2	3	1	267	330	399	729	132	327	22	6	325	110	+1	+0	-0	-1	+3	0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	39	MLB MLE	KC	100%	80	73	19	3	0	2	5	18	2	1	0	258	319	380	699	123	317	22	6	313	98	-0	+0	-9	-1	+2	-0.8
2028	39	MLB CTX	KC	100%	80	73	19	3	0	2	5	18	2	1	0	254	316	372	688	118	315	22	6	309	98	-0	+0	-9	-1	+2	-0.8
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	6555	5977	1695	299	55	167	356	1326	172	364	102	284	342	436	778	152	339	20	5	344	113	+149	+32	-16	-50	+142	26.3
/ 162G	—	A+C		—	650	593	168	30	5	17	35	131	17	36	10	283	341	437	778	153	337	20	5	344	113	+15	+3	-2	-5	+14	2.6
Career	—	MLE		—	9151	8381	2348	408	92	217	431	1971	254	528	157	280	335	428	763	148	342	22	5	336	113	+151	+32	-16	-51	+145	26.6
/ 162G	—	MLE		—	650	595	167	29	7	15	31	140	18	38	11	281	335	429	764	148	343	22	5	336	113	+15	+3	-2	-5	+14	2.6

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2017 AAAIndianapolis Indians · 40 PAwOBA .372 → .336 (−35)K% 20.0% → 23.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷1.030	×1.200	—	—	23.30%
BB% (unintentional) /PA	5.00%	÷0.952	×0.690	—	×0.982	3.56%
HBP% /PA	5.00%	—	×0.940	—	×0.982	4.62%
Singles /BIP	35.71%	÷0.950	×0.930	—	×0.982	34.35%
Doubles /BIP	3.57%	÷1.046	×0.830	—	×0.982	2.78%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.982	0.00%
Home runs /BIP	3.57%	÷0.850	×0.840	—	×0.982	3.47%

Factors used: league row IL. Park (home-season share, regressed): HR 70, 1B 90, 2B 109, 3B 130, K 106, BB 90 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average).

Result: wOBA .372 → .336; ISO .111 → .100; BABIP .407 → .385. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2012 AAAIndianapolis Indians · 431 PAwOBA .357 → .319 (−38)K% 21.1% → 25.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.11%	÷1.014	×1.200	—	—	24.98%
BB% (unintentional) /PA	5.34%	÷1.043	×0.690	—	×1.048	3.70%
HBP% /PA	2.32%	—	×0.940	—	×1.048	2.29%
Singles /BIP	21.89%	÷1.038	×0.930	×1.014	×1.048	20.83%
Doubles /BIP	7.07%	÷0.945	×0.830	×1.014	×1.048	6.60%
Triples /BIP	4.38%	÷1.150	×0.970	×1.014	×1.048	3.92%
Home runs /BIP	4.04%	÷1.095	×0.840	—	×1.048	3.25%

Factors used: league row IL. Park (home-season share, regressed): HR 119, 1B 108, 2B 89, 3B 130, K 103, BB 109 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.014.

Result: wOBA .357 → .319; ISO .214 → .186; BABIP .344 → .321. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2011 AAAltoona Curve · 572 PAwOBA .371 → .358 (−14)K% 17.5% → 21.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.48%	÷0.977	×1.220	—	—	21.83%
BB% (unintentional) /PA	3.32%	÷0.897	×0.700	—	×1.027	2.66%
HBP% /PA	1.92%	—	×0.850	—	×1.027	1.68%
Singles /BIP	27.52%	÷0.986	×0.970	×1.043	×1.027	29.00%
Doubles /BIP	8.72%	÷0.949	×0.860	×1.043	×1.027	8.46%
Triples /BIP	1.83%	÷0.949	×0.950	×1.043	×1.027	1.97%
Home runs /BIP	2.75%	÷0.931	×0.780	—	×1.027	2.37%

Factors used: league row EL. Park (home-season share, regressed): HR 86, 1B 97, 2B 90, 3B 90, K 95, BB 79 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.043.

Result: wOBA .371 → .358; ISO .168 → .154; BABIP .390 → .402. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2010 A+Bradenton Marauders · 253 PAwOBA .359 → .298 (−60)K% 23.3% → 33.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.32%	÷0.984	×1.420	—	—	33.65%
BB% (unintentional) /PA	4.74%	÷1.061	×0.750	—	×1.012	3.39%
HBP% /PA	5.93%	—	×0.930	—	×1.012	5.58%
Singles /BIP	30.06%	÷1.039	×0.920	×1.050	×1.012	28.28%
Doubles /BIP	9.82%	÷1.041	×0.960	×1.050	×1.012	9.62%
Triples /BIP	3.07%	÷1.150	×0.810	×1.050	×1.012	2.30%
Home runs /BIP	0.00%	÷1.118	×0.880	—	×1.012	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 124, 1B 108, 2B 108, 3B 130, K 97, BB 112 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .359 → .298; ISO .117 → .093; BABIP .424 → .396. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2010 ROKGCL Pirates · 28 PAwOBA .453 → .307 (−146)K% 21.4% → 30.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.43%	÷1.000	×1.440	—	—	30.86%
BB% (unintentional) /PA	3.57%	÷1.000	×0.620	—	×0.975	2.16%
HBP% /PA	3.57%	—	×0.720	—	×0.975	2.51%
Singles /BIP	20.00%	÷1.000	×0.820	—	×0.975	15.99%
Doubles /BIP	15.00%	÷1.000	×0.720	—	×0.975	10.53%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.975	0.00%
Home runs /BIP	10.00%	÷1.000	×0.780	—	×0.975	7.61%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).

Result: wOBA .453 → .307; ISO .346 → .232; BABIP .389 → .287. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2009 AWest Virginia Power · 247 PAwOBA .358 → .303 (−56)K% 22.3% → 29.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.27%	÷1.000	×1.340	—	—	29.84%
BB% (unintentional) /PA	4.86%	÷1.000	×0.660	—	×1.015	3.25%
HBP% /PA	4.86%	—	×0.770	—	×1.015	3.80%
Singles /BIP	31.33%	÷1.000	×0.920	×1.021	×1.015	29.88%
Doubles /BIP	5.42%	÷1.000	×0.820	×1.021	×1.015	4.61%
Triples /BIP	3.01%	÷1.000	×0.940	×1.021	×1.015	2.94%
Home runs /BIP	1.81%	÷1.000	×0.820	—	×1.015	1.50%

Factors used: league row SAL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .358 → .303; ISO .127 → .106; BABIP .400 → .375. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2008 DSLDSL Pirates · 293 PAwOBA .355 → .227 (−127)K% 18.1% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.09%	÷1.000	×1.220	—	—	22.07%
BB% (unintentional) /PA	5.46%	÷1.000	×0.700	—	×0.985	3.77%
HBP% /PA	4.78%	—	×0.700	—	×0.985	3.29%
Singles /BIP	26.96%	÷1.000	×0.680	×1.017	×0.985	18.36%
Doubles /BIP	4.90%	÷1.000	×0.600	×1.017	×0.985	2.95%
Triples /BIP	0.98%	÷1.000	×0.600	×1.017	×0.985	0.59%
Home runs /BIP	4.41%	÷1.000	×0.470	—	×0.985	2.04%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.017.

Result: wOBA .355 → .227; ISO .160 → .083; BABIP .340 → .221. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2007 DSLDSL Pirates · 156 PAwOBA .263 → .186 (−77)K% 18.6% → 22.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.59%	÷1.000	×1.220	—	—	22.68%
BB% (unintentional) /PA	6.41%	÷1.000	×0.700	—	×0.995	4.46%
HBP% /PA	4.49%	—	×0.700	—	×0.995	3.13%
Singles /BIP	22.33%	÷1.000	×0.680	×1.050	×0.995	15.86%
Doubles /BIP	3.88%	÷1.000	×0.600	×1.050	×0.995	2.43%
Triples /BIP	0.97%	÷1.000	×0.600	×1.050	×0.995	0.61%
Home runs /BIP	0.97%	÷1.000	×0.470	—	×0.995	0.45%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .263 → .186; ISO .068 → .041; BABIP .272 → .188. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Carl Crawfordlast yr '16 career totals — 15 seasons, 7,178 PA	10.8	7,178	136	480	290	330	435	-76	+42	33.5	32.0
/162	664	13	44	-7.0	+3.9	3.1	pk7: 31
#2Lonnie Smith'78-'94 * career totals — 15 seasons, 5,952 PA	9.0	5,952	98	370	284*	371*	449*	-63	-2	29.5	27.0
/162	664	11	41	-7.0	-0.2	3.3	pk7: 24
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 17 projected seasons	10.1	6,680	170	366	285	339	437	-73	-7	29.1	25.6
/162	664	17	36	-7.2	-0.7	2.9	pk7: 22
#3Alex Rioslast yr '15 career totals — 12 seasons, 6,929 PA	10.4	6,929	169	253	277	321	434	-57	+11	25.0	25.4
/162	664	16	24	-5.5	+1.0	2.4	pk7: 26
#4Tommy Harper'62-'76 * career totals — 14 seasons, 7,164 PA	10.8	7,164	146	408	259*	343*	417*	-51	+4	24.7	23.5
/162	664	14	38	-4.7	+0.4	2.3	pk7: 22
#5Michael Brantleylast yr '23 career totals — 14 seasons, 6,106 PA	9.2	6,106	129	124	298	356	440	-50	-55	24.8	23.4
/162	664	14	13	-5.5	-6.0	2.7	pk7: 22
#6Shannon Stewart'95-'08 * career totals — 12 seasons, 6,205 PA	9.3	6,205	115	196	284*	349*	418*	-66	-4	20.6	19.9
/162	664	12	21	-7.1	-0.4	2.2	pk7: 19

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)	38	—	—	—	—	268/331/404	137	330	3	3	22%	7%	110	+0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Jeff Conine 2004 · MLB	38	55→62	51→55	51→50	51	275/327/440	165	288	18	8	12%	7%	116	+2.5	275/333/417	142	303	13	5	13%	8%	112	+2.2	275/336/403	128	307	11	4	13%	8%	111	+1.8
✕So Taguchi 2007 · MLB	38	55→58	42→45	52→50	50	265/317/373	108	297	8	16	14%	7%	96	+1.0	253/316/344	91	283	7	13	13%	7%	89	+0.5	244/311/315	71	273	5	11	12%	7%	81	-0.0
✕Johnny Damon 2012 · MLB	38	54→64	49→55	54→55	55	266/337/424	158	292	15	14	15%	9%	116	+2.5	244/308/384	140	268	14	13	14%	8%	96	+1.0	223/282/333	109	240	11	11	12%	8%	74	-0.2
✕Jolbert Cabrera 2011 · MLB	38	53→48	44→45	52→50	43	256/299/379	123	305	11	13	20%	5%	91	+0.7	239/278/368	129	281	13	8	20%	4%	81	-0.1	238/266/375	137	274	14	2	19%	2%	78	-0.2
✕Marquis Grissom 2005 · MLB	38	55→59	53→60	49→50	46	281/315/455	174	296	21	7	14%	5%	115	+2.4	248/293/391	143	269	17	7	15%	6%	92	+0.7	202/236/279	78	219	10	4	14%	4%	44	-0.7
✕Doug Clark 2014 · AAA	38	54→55	48→50	51→55	47	267/322/414	147	312	15	20	19%	6%	107	+1.9	239/295/357	118	292	11	11	21%	7%	84	+0.2	220/275/312	92	269	9	2	21%	7%	68	-0.4
✕Lew Ford 2015 · MLB	38	45→55	51→50	50	46	232/281/399	167	254	19	10	18%	6%	90	+0.6	254/312/374	120	290	12	8	16%	7%	95	+0.9	313/367/396	83	346	8	0	11%	8%	118	+0.6
✕Ray Martinez 2007 · AAA	38	49→52	47→45	51→45	52	243/319/377	134	280	15	11	19%	9%	99	+1.2	244/298/358	114	286	12	8	19%	6%	86	+0.3	259/303/361	102	303	11	5	18%	5%	86	+0.2
✕Jose Fernandez 2013 · AAA	38	49	50	49→40	49	250/305/402	152	270	18	10	16%	7%	99	+1.3	261/311/402	141	294	16	12	17%	6%	101	+1.4	332/366/464	132	351	17	10	10%	5%	131	+0.6
✕Orlando Merced 2003 · MLB	36	53	49→50	54→45	50	264/323/419	155	304	16	11	19%	8%	109	+2.0	243/298/386	143	277	13	10	17%	7%	92	+0.7	227/274/366	139	256	8	8	14%	6%	79	-0.1
✕Sharnol Adriana 2009 · AAA	38	56→62	46→50	50→60	51	274/339/408	133	303	14	21	15%	7%	113	+2.3	246/312/360	114	284	11	11	17%	7%	92	+0.7	247/317/355	108	288	12	4	18%	8%	89	+0.3
✕Rene Reyes 2015 · AAA	37	51→61	45→50	50	48	247/311/373	125	314	12	13	24%	8%	94	+0.9	247/308/376	129	302	13	8	21%	8%	94	+0.9	245/305/370	125	291	13	5	20%	7%	89	+0.2
●Kenny Lofton 2005 · MLB	38	57→67	45→50	58→60	57	274/340/414	141	289	10	22	10%	9%	114	+2.3	295/355/404	109	321	6	27	9%	8%	116	+2.5	302/364/403	101	329	5	31	9%	9%	120	+2.3
✕Eric Young Sr. 2005 · MLB	38	56→62	42→45	51→60	60	267/346/380	114	277	8	25	8%	10%	109	+2.0	239/321/359	120	255	9	20	10%	10%	95	+1.0	214/300/327	114	227	8	24	10%	10%	80	-0.0
✕Rafael Castaneda 2006 · AAA	38	50→60	44→45	49→40	50	246/302/359	113	271	12	7	14%	7%	87	+0.4	253/302/357	104	272	9	5	10%	6%	86	+0.3	256/306/353	97	273	8	3	9%	6%	86	+0.1
✕Scott Bullett 2006 · AAA	37	48→53	53→60	55→50	43	249/293/425	176	284	22	14	21%	5%	100	+1.3	254/293/406	152	304	18	9	22%	5%	95	+1.0	267/298/410	143	319	18	4	22%	4%	95	+0.7
✕Brandon Phillips 2018 · MLB	37	58→60	45→55	46→55	44	285/316/409	125	306	12	14	12%	4%	104	+1.6	243/288/367	124	274	12	8	16%	5%	84	+0.2	207/254/310	103	241	9	2	18%	5%	57	-0.5
●Craig Biggio 2003 · MLB	37	54→58	48→60	51→50	53	264/347/416	151	295	15	11	16%	8%	118	+2.6	266/335/434	168	292	17	9	15%	7%	118	+2.6	266/333/442	177	287	19	8	15%	6%	120	+3.2
●Derek Jeter 2012 · MLB	38	60→70	41→50	51→55	53	288/351/391	103	324	9	16	14%	8%	113	+2.3	282/334/378	96	317	9	10	13%	7%	103	+1.6	284/331/367	83	318	8	8	13%	6%	100	+1.5
✕Shin-Soo Choo 2020 · MLB	38	52→61	52→55	52→55	57	258/359/428	170	317	20	11	24%	12%	125	+3.2	250/339/420	170	310	20	15	25%	10%	116	+2.5	227/312/378	151	279	22	28	26%	9%	97	+0.2

Starling Marte

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps