Andrew McCutchen

LF Texas Rangers

Age 40 R/R 5'10" / 190 lbs MLB HR +15%BB +5% Svc 16.399 · Ctrl thru 2027

Overview

MLBExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	37	MLBPIT	515	.232/.329/.411	20	3	113	1.3
2025	38	MLBPIT	551	.239/.334/.367	13	1	98	0.6
2026	39	AAAATL	32	.333/.375/.533	1	1	82	—	.258/.281/.419
2026	39	MLBTEX	83	.192/.280/.260	1	0	54	-0.4
2027PROJ	40	MLBTEX	152	.249/.336/.418	5	1	111	0.4

Last 3 seasons WAR 1.5 · Next 1 projected WAR 0.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service16.399First FA2028

2027Ext / FA-deal$2M

Skills · percentileStatcast 2024-2026

xwOBA62

Barrel%61

Speed55

Avg EV47

Bat Spd37

CompsCraig Biggio (age 40) · Raul Ibanez (age 40) · Jeff Conine (age 38)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 114111vR 101

AVG/OBP/SLG.249 / .336 / .418

PA152

HR5

K%24

BB%11

BABIP298

ISO157

MLB%100%

Value2027 · WAR

Tools · Splits · Contract

ToolsStatcast %ile · 2024-2026

CONTACT

xAVG

290.234

POWER

Barrel%

619.8

Avg EV

4788.9

Bat Spd

3770.0

SPEED

Sprint

5527.7

Platoon Splits2024-2026 · 1087 PA

vs LHP

vs RHP

Edge

312

775

—

wRC+

107

103

◀L

wOBA

326

320

—

ISO

156

154

—

BABIP

303

282

◀L

26.3%

22.5%

▶R

BB%

10.9%

11.2%

—

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

Status FA

MLB Debut 2009

Service 16.399 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$2M	+0.3	$1M	-$0.4M
Totals		$2M		$1M	-$0.4M

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)
2005	18	ROK	GCL Pirates	—	192	158	47	9	3	2	29	24	3	13	1	297	416	430	846	133	336	12	15	380	77	—	—	—	—	—	—
2006	19	AA	Altoona Curve	—	87	78	24	4	0	3	8	20	1	1	1	308	379	474	854	167	382	23	9	380	114	—	—	—	—	—	—
2006	19	A	Hickory Crawdads	—	503	453	132	20	4	14	42	91	5	22	7	291	358	446	804	155	336	18	8	356	84	—	—	—	—	—	—
2007	20	AAA	Indianapolis Indians	—	72	67	21	4	0	1	4	11	0	4	3	313	352	418	770	104	357	15	6	340	94	—	—	—	—	—	—
2007	20	AA	Altoona Curve	—	498	446	115	20	3	10	44	83	3	17	1	258	329	383	712	126	295	17	9	318	78	—	—	—	—	—	—
2008	21	AAA	Indianapolis Indians	—	590	512	145	26	3	9	68	87	6	33	19	283	374	398	772	115	325	15	12	349	96	—	—	—	—	—	—
2009	22	MLB	Pittsburgh Pirates	—	493	433	124	26	9	12	54	83	2	22	5	286	368	471	839	185	327	17	11	369	134	+20	+2	+0	+3	+11	3.7
2009	22	AAA	Indianapolis Indians	—	219	201	61	10	8	4	17	24	1	10	2	303	361	493	853	189	329	11	8	374	114	—	—	—	—	—	—
2010	23	MLB	Pittsburgh Pirates	—	653	570	163	35	5	16	70	89	5	33	10	286	369	449	818	163	311	14	11	361	131	+24	+3	-11	+2	+14	3.3
2011	24	MLB	Pittsburgh Pirates	—	678	572	148	34	5	23	89	126	9	23	10	259	367	456	823	198	291	19	13	363	132	+26	+1	+6	+2	+15	5.0
2012	25	MLB	Pittsburgh Pirates	—	673	593	194	29	6	31	70	132	5	20	12	327	403	553	956	226	375	20	10	416	163	+50	-1	-1	+2	+15	6.7
2013	26	MLB	Pittsburgh Pirates	—	674	583	185	38	5	21	78	101	9	27	10	317	406	508	914	190	353	15	12	402	152	+42	+1	+6	+2	+15	6.7
2014	27	MLB	Pittsburgh Pirates	—	648	548	172	38	6	25	84	115	10	18	3	314	414	542	956	228	355	18	13	416	165	+50	+2	-3	+2	+14	6.7
2015	28	MLB	Pittsburgh Pirates	—	685	566	165	36	3	23	98	133	12	11	5	292	407	488	894	196	339	19	14	393	146	+38	+0	+1	+2	+15	5.7
2016	29	MLB	Pittsburgh Pirates	—	675	598	153	26	3	24	69	143	5	6	7	256	338	430	768	174	297	21	10	341	115	+12	-2	-12	+2	+15	1.6
2017	30	MLB	Pittsburgh Pirates	—	650	570	159	30	2	28	73	116	4	11	5	279	365	486	851	207	305	18	11	375	140	+31	+0	-3	+2	+14	4.5
2018	31	MLB	New York Yankees	—	682	569	145	30	3	20	95	145	11	14	9	255	372	424	795	169	304	21	14	356	124	+19	-1	-12	-7	+15	1.4
2019	32	MLB	Philadelphia Phillies	—	262	219	56	12	1	10	43	55	0	2	1	256	378	457	834	201	299	21	16	373	135	+11	+0	-2	-3	+6	1.2
2020	33	MLB	Philadelphia Phillies	—	241	217	55	9	0	10	22	48	1	4	0	253	325	433	758	180	281	20	9	336	110	+3	+1	-4	-3	+5	0.2
2021	34	MLB	Philadelphia Phillies	—	574	482	107	24	1	27	81	132	4	6	1	222	339	444	783	222	242	23	14	345	114	+9	+1	-10	-6	+12	0.7
2022	35	MLB	Milwaukee Brewers	—	580	515	122	25	0	17	57	124	4	8	6	237	318	384	702	148	278	21	10	315	99	-0	-1	-1	-6	+13	0.5
2023	36	MLB	Pittsburgh Pirates	—	473	390	100	19	0	12	75	100	4	11	3	256	382	397	779	141	312	21	16	353	126	+15	+1	+1	-5	+10	2.2
2024	37	MLB	Pittsburgh Pirates	—	515	448	104	18	1	20	58	133	7	3	2	232	329	411	740	179	283	26	11	332	113	+8	-0	-1	-6	+11	1.3
2025	38	MLB	Pittsburgh Pirates	—	551	477	114	22	0	13	67	118	2	1	1	239	334	367	701	128	289	21	12	318	98	-1	-0	+1	-6	+12	0.6
2026	39	MLB	Texas Rangers	—	83	73	14	2	0	1	9	22	0	0	0	192	280	260	541	68	255	27	11	252	54	-4	+0	-0	-1	+2	-0.4
2026	39	AAA	Gwinnett Stripers	—	32	30	10	3	0	1	2	9	0	1	0	333	375	533	908	200	450	28	6	399	82	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	9790	8423	2280	453	50	333	1192	1915	94	220	90	271	367	455	822	184	311	20	12	364	132	+378	+8	-47	-21	+212	54.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	18	ROK MLE	GCL Pirates	—	192	169	39	7	2	2	18	35	3	13	1	231	316	331	647	101	267	18	9	282	77	—	—	—	—	—	—
2006	19	AA MLE	Altoona Curve	—	87	80	23	4	0	2	6	24	1	1	1	287	345	412	757	125	392	28	7	336	114	—	—	—	—	—	—
2006	19	A MLE	Hickory Crawdads	—	503	468	117	16	4	11	27	122	5	22	7	250	298	372	670	122	309	24	5	293	84	—	—	—	—	—	—
2007	20	AAA MLE	Indianapolis Indians	—	72	68	20	3	0	1	3	13	0	4	3	294	324	382	706	88	340	18	4	307	94	—	—	—	—	—	—
2007	20	AA MLE	Altoona Curve	—	498	459	112	18	3	8	31	101	3	17	1	244	296	349	645	105	290	20	6	283	78	—	—	—	—	—	—
2008	21	AAA MLE	Indianapolis Indians	—	590	532	141	23	3	8	48	104	6	33	19	265	333	365	697	100	313	18	8	310	96	—	—	—	—	—	—
2009	22	MLB MLE	Pittsburgh Pirates	—	493	435	124	26	9	12	52	83	2	22	5	285	364	469	833	184	327	17	11	366	134	+20	+2	+0	+3	+11	3.7
2009	22	AAA MLE	Indianapolis Indians	—	219	206	59	9	8	4	12	29	1	10	2	286	329	466	795	180	319	13	5	337	114	—	—	—	—	—	—
2010	23	MLB MLE	Pittsburgh Pirates	—	653	571	164	34	5	17	69	89	5	33	10	287	369	454	823	166	311	14	11	362	131	+24	+3	-11	+2	+14	3.3
2011	24	MLB MLE	Pittsburgh Pirates	—	678	575	149	33	5	25	86	126	9	23	10	259	364	464	829	205	291	19	13	364	132	+26	+1	+6	+2	+15	5.0
2012	25	MLB MLE	Pittsburgh Pirates	—	673	606	197	28	6	34	57	132	5	20	12	325	388	559	947	234	375	20	8	409	163	+50	-1	-1	+2	+15	6.7
2013	26	MLB MLE	Pittsburgh Pirates	—	674	595	186	36	5	23	66	101	9	27	10	313	390	506	895	193	353	15	10	393	152	+42	+1	+6	+2	+15	6.7
2014	27	MLB MLE	Pittsburgh Pirates	—	648	556	173	36	6	27	76	115	10	18	3	311	403	543	947	232	355	18	12	412	165	+50	+2	-3	+2	+14	6.7
2015	28	MLB MLE	Pittsburgh Pirates	—	685	578	166	34	3	25	86	133	12	11	5	287	391	486	877	199	339	19	13	384	146	+38	+0	+1	+2	+15	5.7
2016	29	MLB MLE	Pittsburgh Pirates	—	675	605	155	25	3	26	62	143	5	6	7	256	330	436	767	180	297	21	9	339	115	+12	-2	-12	+2	+15	1.6
2017	30	MLB MLE	Pittsburgh Pirates	—	650	575	160	29	2	30	68	116	4	11	5	278	359	492	851	214	305	18	10	375	140	+31	+0	-3	+2	+14	4.5
2018	31	MLB MLE	New York Yankees	—	682	570	144	30	3	19	94	145	11	14	9	253	369	416	785	163	304	21	14	351	124	+19	-1	-12	-7	+15	1.4
2019	32	MLB MLE	Philadelphia Phillies	—	262	219	55	12	1	9	43	55	0	2	1	251	374	438	812	187	299	21	16	368	135	+11	+0	-2	-3	+6	1.2
2020	33	MLB MLE	Philadelphia Phillies	—	241	217	54	9	0	9	22	48	1	4	0	249	321	415	736	166	281	20	9	331	110	+3	+1	-4	-3	+5	0.2
2021	34	MLB MLE	Philadelphia Phillies	—	574	484	106	25	1	25	79	132	4	6	1	219	333	430	763	211	242	23	14	337	114	+9	+1	-10	-6	+12	0.7
2022	35	MLB MLE	Milwaukee Brewers	—	580	516	123	27	0	16	56	124	4	8	6	238	318	384	701	145	278	21	10	315	99	-0	-1	-1	-6	+13	0.5
2023	36	MLB MLE	Pittsburgh Pirates	—	473	391	100	18	0	13	74	100	4	11	3	256	380	402	781	146	312	21	16	355	126	+15	+1	+1	-5	+10	2.2
2024	37	MLB MLE	Pittsburgh Pirates	—	515	449	105	17	1	22	57	133	7	3	2	234	329	423	753	189	283	26	11	335	113	+8	-0	-1	-6	+11	1.3
2025	38	MLB MLE	Pittsburgh Pirates	—	551	484	114	21	0	14	62	118	2	1	1	236	325	366	691	130	289	21	11	314	98	-1	-0	+1	-6	+12	0.6
2026	39	MLB MLE	Texas Rangers	—	83	73	14	2	0	1	9	22	0	0	0	192	280	260	541	68	255	27	11	249	54	-4	+0	-0	-1	+2	-0.4
2026	39	AAA MLE	Gwinnett Stripers	—	32	31	8	2	0	1	1	11	0	1	0	258	281	419	701	161	373	34	3	290	82	—	—	—	—	—	—
2005	18	ROK MLE	GCL Pirates	—	192	169	39	7	2	2	18	35	3	13	1	231	316	331	647	101	276	18	9	282	77	—	—	—	—	—	—
2005	18	ROK RAW	GCL Pirates	—	192	158	47	9	3	2	29	24	3	13	1	297	416	430	846	133	336	12	15	380	77	—	—	—	—	—	—
2006	19	A MLE	2 teams	—	590	548	141	20	4	14	33	146	6	23	8	257	307	385	692	128	325	25	6	299	89	—	—	—	—	—	—
2006	19	A RAW	2 teams	—	590	531	156	24	4	17	50	111	6	23	8	294	361	450	811	156	342	19	8	360	89	—	—	—	—	—	—
2007	20	AA MLE	2 teams	—	570	527	131	21	3	9	34	114	3	21	4	249	298	351	649	102	299	20	6	286	80	—	—	—	—	—	—
2007	20	AA RAW	2 teams	—	570	513	136	24	3	11	48	94	3	21	4	265	332	388	719	123	303	16	8	321	80	—	—	—	—	—	—
2008	21	AAA MLE	Indianapolis Indians	—	590	532	141	23	3	8	48	104	6	33	19	265	333	365	697	100	314	18	8	310	96	—	—	—	—	—	—
2008	21	AAA RAW	Indianapolis Indians	—	590	512	145	26	3	9	68	87	6	33	19	283	374	398	772	115	325	15	12	349	96	—	—	—	—	—	—
2009	22	MLB MLE	2 teams	—	712	641	183	35	17	16	64	112	3	32	7	285	353	468	821	183	323	16	9	357	128	+23	+4	+0	+3	+15	4.6
2009	22	MLB RAW	2 teams	—	712	634	185	36	17	16	71	107	3	32	7	292	366	478	844	186	328	15	10	370	128	+23	+4	+0	+3	+15	4.6
2010	23	MLB MLE	Pittsburgh Pirates	—	653	571	164	34	5	17	69	89	5	33	10	287	369	454	823	166	311	14	11	362	131	+24	+3	-11	+2	+14	3.3
2010	23	MLB RAW	Pittsburgh Pirates	—	653	570	163	35	5	16	70	89	5	33	10	286	369	449	818	163	311	14	11	361	131	+24	+3	-11	+2	+14	3.3
2011	24	MLB MLE	Pittsburgh Pirates	—	678	575	149	33	5	25	86	126	9	23	10	259	364	464	829	205	288	19	13	364	132	+26	+1	+6	+2	+15	5.0
2011	24	MLB RAW	Pittsburgh Pirates	—	678	572	148	34	5	23	89	126	9	23	10	259	367	456	823	198	291	19	13	363	132	+26	+1	+6	+2	+15	5.0
2012	25	MLB MLE	Pittsburgh Pirates	—	673	606	197	28	6	34	57	132	5	20	12	325	388	559	947	234	366	20	8	409	163	+50	-1	-1	+2	+15	6.7
2012	25	MLB RAW	Pittsburgh Pirates	—	673	593	194	29	6	31	70	132	5	20	12	327	403	553	956	226	375	20	10	416	163	+50	-1	-1	+2	+15	6.7
2013	26	MLB MLE	Pittsburgh Pirates	—	674	595	186	36	5	23	66	101	9	27	10	313	390	506	895	193	343	15	10	393	152	+42	+1	+6	+2	+15	6.7
2013	26	MLB RAW	Pittsburgh Pirates	—	674	583	185	38	5	21	78	101	9	27	10	317	406	508	914	190	353	15	12	402	152	+42	+1	+6	+2	+15	6.7
2014	27	MLB MLE	Pittsburgh Pirates	—	648	556	173	36	6	27	76	115	10	18	3	311	403	543	947	232	348	18	12	412	165	+50	+2	-3	+2	+14	6.7
2014	27	MLB RAW	Pittsburgh Pirates	—	648	548	172	38	6	25	84	115	10	18	3	314	414	542	956	228	355	18	13	416	165	+50	+2	-3	+2	+14	6.7
2015	28	MLB MLE	Pittsburgh Pirates	—	685	578	166	34	3	25	86	133	12	11	5	287	391	486	877	199	329	19	13	384	146	+38	+0	+1	+2	+15	5.7
2015	28	MLB RAW	Pittsburgh Pirates	—	685	566	165	36	3	23	98	133	12	11	5	292	407	488	894	196	339	19	14	393	146	+38	+0	+1	+2	+15	5.7
2016	29	MLB MLE	Pittsburgh Pirates	—	675	605	155	25	3	26	62	143	5	6	7	256	330	436	767	180	294	21	9	339	115	+12	-2	-12	+2	+15	1.6
2016	29	MLB RAW	Pittsburgh Pirates	—	675	598	153	26	3	24	69	143	5	6	7	256	338	430	768	174	297	21	10	341	115	+12	-2	-12	+2	+15	1.6
2017	30	MLB MLE	Pittsburgh Pirates	—	650	575	160	29	2	30	68	116	4	11	5	278	359	492	851	214	301	18	10	375	140	+31	+0	-3	+2	+14	4.5
2017	30	MLB RAW	Pittsburgh Pirates	—	650	570	159	30	2	28	73	116	4	11	5	279	365	486	851	207	305	18	11	375	140	+31	+0	-3	+2	+14	4.5
2018	31	MLB MLE	New York Yankees	—	682	570	144	30	3	19	94	145	11	14	9	253	369	416	785	163	303	21	14	351	124	+19	-1	-12	-7	+15	1.4
2018	31	MLB RAW	New York Yankees	—	682	569	145	30	3	20	95	145	11	14	9	255	372	424	795	169	304	21	14	356	124	+19	-1	-12	-7	+15	1.4
2019	32	MLB MLE	Philadelphia Phillies	—	262	219	55	12	1	9	43	55	0	2	1	251	374	438	812	187	297	21	16	368	135	+11	+0	-2	-3	+6	1.2
2019	32	MLB RAW	Philadelphia Phillies	—	262	219	56	12	1	10	43	55	0	2	1	256	378	457	834	201	299	21	16	373	135	+11	+0	-2	-3	+6	1.2
2020	33	MLB MLE	Philadelphia Phillies	—	241	217	54	9	0	9	22	48	1	4	0	249	321	415	736	166	280	20	9	331	110	+3	+1	-4	-3	+5	0.2
2020	33	MLB RAW	Philadelphia Phillies	—	241	217	55	9	0	10	22	48	1	4	0	253	325	433	758	180	281	20	9	336	110	+3	+1	-4	-3	+5	0.2
2021	34	MLB MLE	Philadelphia Phillies	—	574	484	106	25	1	25	79	132	4	6	1	219	333	430	763	211	243	23	14	337	114	+9	+1	-10	-6	+12	0.7
2021	34	MLB RAW	Philadelphia Phillies	—	574	482	107	24	1	27	81	132	4	6	1	222	339	444	783	222	242	23	14	345	114	+9	+1	-10	-6	+12	0.7
2022	35	MLB MLE	Milwaukee Brewers	—	580	516	123	27	0	16	56	124	4	8	6	238	318	384	701	145	282	21	10	315	99	-0	-1	-1	-6	+13	0.5
2022	35	MLB RAW	Milwaukee Brewers	—	580	515	122	25	0	17	57	124	4	8	6	237	318	384	702	148	278	21	10	315	99	-0	-1	-1	-6	+13	0.5
2023	36	MLB MLE	Pittsburgh Pirates	—	473	391	100	18	0	13	74	100	4	11	3	256	380	402	781	146	309	21	16	355	126	+15	+1	+1	-5	+10	2.2
2023	36	MLB RAW	Pittsburgh Pirates	—	473	390	100	19	0	12	75	100	4	11	3	256	382	397	779	141	312	21	16	353	126	+15	+1	+1	-5	+10	2.2
2024	37	MLB MLE	Pittsburgh Pirates	—	515	449	105	17	1	22	57	133	7	3	2	234	329	423	753	189	280	26	11	335	113	+8	-0	-1	-6	+11	1.3
2024	37	MLB RAW	Pittsburgh Pirates	—	515	448	104	18	1	20	58	133	7	3	2	232	329	411	740	179	283	26	11	332	113	+8	-0	-1	-6	+11	1.3
2025	38	MLB MLE	Pittsburgh Pirates	—	551	484	114	21	0	14	62	118	2	1	1	236	325	366	691	130	282	21	11	314	98	-1	-0	+1	-6	+12	0.6
2025	38	MLB RAW	Pittsburgh Pirates	—	551	477	114	22	0	13	67	118	2	1	1	239	334	367	701	128	289	21	12	318	98	-1	-0	+1	-6	+12	0.6
2026	39	MLB MLE	2 teams	—	115	104	22	4	0	2	10	33	0	1	0	212	281	308	588	96	286	29	9	260	62	-5	+0	-0	-1	+2	-0.4
2026	39	MLB RAW	2 teams	—	115	103	24	5	0	2	11	31	0	1	0	233	307	340	647	107	310	27	10	293	62	-5	+0	-0	-1	+2	-0.4
2005	18	ROK MLE	GCL Pirates	—	192	169	39	7	2	2	18	35	3	13	1	231	316	331	647	101	267	18	9	282	77	—	—	—	—	—	—
2006	19	A MLE	2 teams	—	590	546	141	20	4	14	33	146	6	23	8	258	307	386	693	128	321	25	6	299	89	—	—	—	—	—	—
2007	20	AA MLE	2 teams	—	570	528	131	21	3	9	34	114	3	21	4	248	298	350	648	102	296	20	6	286	80	—	—	—	—	—	—
2008	21	AAA MLE	Indianapolis Indians	—	590	531	141	23	3	8	48	104	6	33	19	266	333	365	698	100	313	18	8	310	96	—	—	—	—	—	—
2009	22	MLB MLE	2 teams	—	712	639	183	35	17	16	64	112	3	32	7	286	353	469	823	183	325	16	9	357	128	—	—	—	—	—	—
2010	23	MLB MLE	Pittsburgh Pirates	—	653	574	164	34	5	17	69	89	5	33	10	286	369	451	820	166	311	14	11	362	131	—	—	—	—	—	—
2011	24	MLB MLE	Pittsburgh Pirates	—	678	578	149	33	5	25	86	126	9	23	10	258	364	462	826	204	291	19	13	364	132	—	—	—	—	—	—
2012	25	MLB MLE	Pittsburgh Pirates	—	673	606	197	28	6	34	57	132	5	20	12	325	388	559	947	234	375	20	8	409	163	—	—	—	—	—	—
2013	26	MLB MLE	Pittsburgh Pirates	—	674	594	186	36	5	23	66	101	9	27	10	313	390	507	896	194	353	15	10	393	152	—	—	—	—	—	—
2014	27	MLB MLE	Pittsburgh Pirates	—	648	557	173	36	6	27	76	115	10	18	3	311	403	542	946	232	355	18	12	412	165	—	—	—	—	—	—
2015	28	MLB MLE	Pittsburgh Pirates	—	685	582	166	34	3	25	86	133	12	11	5	285	391	483	873	198	339	19	13	384	146	—	—	—	—	—	—
2016	29	MLB MLE	Pittsburgh Pirates	—	675	603	155	25	3	26	62	143	5	6	7	257	330	438	768	181	297	21	9	339	115	—	—	—	—	—	—
2017	30	MLB MLE	Pittsburgh Pirates	—	650	573	160	29	2	30	68	116	4	11	5	279	359	494	852	215	305	18	10	375	140	—	—	—	—	—	—
2018	31	MLB MLE	New York Yankees	—	682	572	144	30	3	19	94	145	11	14	9	252	369	414	783	163	304	21	14	351	124	—	—	—	—	—	—
2019	32	MLB MLE	Philadelphia Phillies	—	262	217	55	12	1	9	43	55	0	2	1	253	374	442	816	189	299	21	16	368	135	—	—	—	—	—	—
2020	33	MLB MLE	Philadelphia Phillies	—	241	216	54	9	0	9	22	48	1	4	0	250	321	417	738	167	281	20	9	331	110	—	—	—	—	—	—
2021	34	MLB MLE	Philadelphia Phillies	—	574	486	106	25	1	25	79	132	4	6	1	218	333	428	761	210	242	23	14	337	114	—	—	—	—	—	—
2022	35	MLB MLE	Milwaukee Brewers	—	580	515	123	27	0	16	56	124	4	8	6	239	318	384	702	146	278	21	10	315	99	—	—	—	—	—	—
2023	36	MLB MLE	Pittsburgh Pirates	—	473	392	100	18	0	13	74	100	4	11	3	255	380	401	780	145	312	21	16	355	126	—	—	—	—	—	—
2024	37	MLB MLE	Pittsburgh Pirates	—	515	446	105	17	1	22	57	133	7	3	2	235	329	426	755	191	283	26	11	335	113	—	—	—	—	—	—
2025	38	MLB MLE	Pittsburgh Pirates	—	551	482	114	21	0	14	62	118	2	1	1	237	325	367	692	131	289	21	11	314	98	—	—	—	—	—	—
2026	39	MLB MLE	2 teams	—	115	104	22	4	0	2	10	33	0	1	0	212	281	308	588	96	288	29	9	260	62	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	37	MLB MLE	Pittsburgh Pirates	—	515	446	105	17	1	22	57	133	7	3	2	235	329	426	755	191	283	26	11	335	113	—	—	—	—	—	—
2025	38	MLB MLE	Pittsburgh Pirates	—	551	482	114	21	0	14	62	118	2	1	1	237	325	367	692	131	289	21	11	314	98	—	—	—	—	—	—
2026	39	MLB MLE	2 teams	—	115	104	22	4	0	2	10	33	0	1	0	212	281	308	588	96	288	29	9	260	62	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	40	MLB MLE	TEX	100%	245	214	54	10	1	8	27	57	2	2	1	247	334	409	744	162	298	23	11	332	111	+3	+0	-0	-3	+5	0.3
▸ 2027 — real world (MLB)
2027	40	MLB CTX	TEX	100%	152	134	33	6	0	5	16	36	1	1	0	249	336	418	754	169	298	24	11	336	111	+2	+0	-0	-2	+3	0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	9790	8423	2280	453	50	333	1192	1915	94	220	90	271	367	455	822	184	311	20	12	364	123	+378	+8	-47	-21	+212	54.0
/ 162G	—	A+C		—	650	559	151	30	3	22	79	127	6	15	6	270	366	453	818	182	311	20	12	364	123	+25	+1	-3	-1	+14	3.6
Career	—	MLE		—	12135	10646	2841	530	70	390	1280	2390	114	322	124	267	352	440	791	173	308	20	11	350	123	+380	+8	-47	-23	+215	54.4
/ 162G	—	MLE		—	650	570	152	28	4	21	69	128	6	17	7	267	352	440	792	174	308	20	11	350	123	+25	+1	-3	-1	+14	3.6

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.

2026 AAAGwinnett Stripers · 32 PAwOBA .387 → .290 (−97)K% 28.1% → 33.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.12%	÷1.000	×1.200	—	—	33.75%
BB% (unintentional) /PA	6.25%	÷1.000	×0.690	—	×0.940	4.05%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	28.57%	÷1.000	×0.930	—	×0.940	24.98%
Doubles /BIP	14.29%	÷1.000	×0.830	—	×0.940	11.15%
Triples /BIP	0.00%	÷1.000	×0.970	—	×0.940	0.00%
Home runs /BIP	4.76%	÷1.000	×0.700	—	×0.940	3.13%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 40 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (12.8 yr older than average).

Result: wOBA .387 → .290; ISO .200 → .136; BABIP .450 → .373. 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 AAAIndianapolis Indians · 219 PAwOBA .364 → .337 (−27)K% 11.0% → 13.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.96%	÷1.000	×1.200	—	—	13.15%
BB% (unintentional) /PA	7.76%	÷1.000	×0.690	—	×1.050	5.62%
HBP% /PA	0.46%	—	×0.940	—	×1.050	0.45%
Singles /BIP	22.03%	÷1.000	×0.930	×1.007	×1.050	21.66%
Doubles /BIP	5.65%	÷1.000	×0.830	×1.007	×1.050	4.96%
Triples /BIP	4.52%	÷1.000	×0.970	×1.007	×1.050	4.63%
Home runs /BIP	2.26%	÷1.000	×0.840	—	×1.050	1.99%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.

Result: wOBA .364 → .337; ISO .189 → .178; BABIP .329 → .319. 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 AAAIndianapolis Indians · 590 PAwOBA .341 → .310 (−31)K% 14.7% → 17.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.75%	÷1.000	×1.200	—	—	17.69%
BB% (unintentional) /PA	11.36%	÷1.000	×0.690	—	×1.050	8.23%
HBP% /PA	1.02%	—	×0.940	—	×1.050	1.00%
Singles /BIP	25.18%	÷1.000	×0.930	×1.008	×1.050	24.79%
Doubles /BIP	6.12%	÷1.000	×0.830	×1.008	×1.050	5.38%
Triples /BIP	0.71%	÷1.000	×0.970	×1.008	×1.050	0.72%
Home runs /BIP	2.12%	÷1.000	×0.840	—	×1.050	1.87%

Factors used: league row IL. 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 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.

Result: wOBA .341 → .310; ISO .115 → .105; BABIP .325 → .313. 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 AAAltoona Curve · 498 PAwOBA .311 → .283 (−28)K% 16.7% → 20.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷1.000	×1.220	—	—	20.33%
BB% (unintentional) /PA	8.63%	÷1.000	×0.700	—	×1.050	6.35%
HBP% /PA	0.60%	—	×0.850	—	×1.050	0.54%
Singles /BIP	22.59%	÷1.000	×0.970	×0.992	×1.050	22.83%
Doubles /BIP	5.51%	÷1.000	×0.860	×0.992	×1.050	4.94%
Triples /BIP	0.83%	÷1.000	×0.950	×0.992	×1.050	0.82%
Home runs /BIP	2.75%	÷1.000	×0.780	—	×1.050	2.26%

Factors used: league row EL. 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 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.992.

Result: wOBA .311 → .283; ISO .126 → .108; BABIP .295 → .290. 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 AAAIndianapolis Indians · 72 PAwOBA .336 → .307 (−28)K% 15.3% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.28%	÷1.000	×1.200	—	—	18.33%
BB% (unintentional) /PA	5.56%	÷1.000	×0.690	—	×1.050	4.03%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	28.57%	÷1.000	×0.930	×0.999	×1.050	27.88%
Doubles /BIP	7.14%	÷1.000	×0.830	×0.999	×1.050	6.22%
Triples /BIP	0.00%	÷1.000	×0.970	×0.999	×1.050	0.00%
Home runs /BIP	1.79%	÷1.000	×0.840	—	×1.050	1.57%

Factors used: league row IL. 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 27.2 → +5.0% on BB/HBP/hit rates (6.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .336 → .307; ISO .104 → .091; BABIP .357 → .340. 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).

2006 AHickory Crawdads · 503 PAwOBA .347 → .293 (−54)K% 18.1% → 24.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.09%	÷1.000	×1.340	—	—	24.24%
BB% (unintentional) /PA	7.75%	÷1.000	×0.660	—	×1.030	5.27%
HBP% /PA	0.99%	—	×0.770	—	×1.030	0.79%
Singles /BIP	25.97%	÷1.000	×0.920	×0.993	×1.030	24.45%
Doubles /BIP	5.52%	÷1.000	×0.820	×0.993	×1.030	4.64%
Triples /BIP	1.10%	÷1.000	×0.940	×0.993	×1.030	1.06%
Home runs /BIP	3.87%	÷1.000	×0.820	—	×1.030	3.27%

Factors used: league row SAL. 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 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .347 → .293; ISO .155 → .128; BABIP .336 → .309. 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).

2006 AAAltoona Curve · 87 PAwOBA .370 → .336 (−34)K% 23.0% → 28.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.99%	÷1.000	×1.220	—	—	28.05%
BB% (unintentional) /PA	9.20%	÷1.000	×0.700	—	×1.050	6.76%
HBP% /PA	1.15%	—	×0.850	—	×1.050	1.03%
Singles /BIP	29.31%	÷1.000	×0.970	×1.041	×1.050	31.06%
Doubles /BIP	6.90%	÷1.000	×0.860	×1.041	×1.050	6.48%
Triples /BIP	0.00%	÷1.000	×0.950	×1.041	×1.050	0.00%
Home runs /BIP	5.17%	÷1.000	×0.780	—	×1.050	4.24%

Factors used: league row EL. 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 24.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.041.

Result: wOBA .370 → .336; ISO .167 → .137; BABIP .382 → .392. 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).

2005 ROKGCL Pirates · 192 PAwOBA .374 → .282 (−92)K% 12.5% → 18.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.50%	÷1.000	×1.440	—	—	18.00%
BB% (unintentional) /PA	15.10%	÷1.000	×0.620	—	×1.008	9.43%
HBP% /PA	1.56%	—	×0.720	—	×1.008	1.13%
Singles /BIP	24.63%	÷1.000	×0.820	×0.998	×1.008	20.30%
Doubles /BIP	6.72%	÷1.000	×0.720	×0.998	×1.008	4.86%
Triples /BIP	2.24%	÷1.000	×0.720	×0.998	×1.008	1.62%
Home runs /BIP	1.49%	÷1.000	×0.780	—	×1.008	1.17%

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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.998.

Result: wOBA .374 → .282; ISO .133 → .101; BABIP .336 → .267. 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).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Dave Winfield'73-'95 * career totals — 22 seasons, 12,358 PA	18.6	12,358	465	223	278*	350*	502*	-144	-48	68.3	52.7
/162	664	25	12	-7.7	-2.6	3.7	pk7: 37
#2Bobby Abreu'96-'14 * AS×2GGSS career totals — 17 seasons, 10,081 PA	15.2	10,081	288	400	282*	383*	465*	-117	-32	61.4	50.5
/162	664	19	26	-7.7	-2.1	4.0	pk7: 40
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 19 projected seasons	15.0	9,942	338	221	271	364	456	-107	-61	54.8	45.4
/162	664	23	15	-7.1	-4.1	3.7	pk7: 36
#3Paul O'Neill'85-'01 * career totals — 15 seasons, 8,329 PA	12.5	8,329	281	141	279*	353*	474*	-90	-11	40.4	34.5
/162	664	22	11	-7.2	-0.9	3.2	pk7: 29
#4Shin-Soo Choolast yr '20 career totals — 14 seasons, 7,116 PA	10.7	7,116	218	157	275	377	449	-66	-95	34.2	31.0
/162	664	20	15	-6.2	-8.8	3.2	pk7: 28
#5Jayson Werthlast yr '17 career totals — 15 seasons, 6,366 PA	9.6	6,366	229	132	267	360	455	-68	-36	32.1	29.8
/162	664	24	14	-7.1	-3.7	3.3	pk7: 27
#6Justin Uptonlast yr '22 AS×4SS×2 career totals — 16 seasons, 7,649 PA	11.5	7,649	325	151	261	342	469	-82	-91	29.7	27.0
/162	664	28	13	-7.1	-7.9	2.6	pk7: 24

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
Andrew McCutchen (OGILVIE)	40	—	—	—	—	245/332/406	161	298	5	1	23%	11%	111	+0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Craig Biggio 2006 · MLB	40	52→58	54→60	49→50	48	267/328/453	186	282	21	8	14%	6%	120	+2.8	250/300/412	162	275	18	6	16%	6%	100	+1.3	244/292/393	150	272	16	4	17%	5%	93	+0.8
●Raul Ibanez 2012 · MLB	40	49→59	53→60	47→45	49	254/308/434	180	282	20	4	18%	7%	107	+1.9	236/298/432	196	261	24	4	20%	8%	103	+1.6	223/293/426	203	243	26	3	21%	9%	101	+1.0
●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
✕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
✕Todd Zeile 2004 · MLB	38	50→55	49→50	46→30	57	252/333/397	145	277	17	3	16%	10%	108	+1.9	238/318/380	142	279	16	4	20%	10%	99	+1.2	230/316/352	122	277	14	0	21%	11%	93	+0.5
✕Willis Otáñez 2013 · AAA	40	50→60	48→55	47→40	49	251/306/386	135	279	17	3	17%	7%	95	+1.0	242/299/376	134	281	17	3	20%	7%	91	+0.6	247/307/379	132	284	18	0	20%	7%	94	+0.6
✕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
✕Ruben Sierra 2004 · MLB	38	52→53	52→60	48→40	49	267/313/434	167	284	20	6	15%	6%	109	+2.0	242/291/410	168	266	21	4	18%	7%	96	+1.0	233/276/414	182	249	24	1	18%	6%	92	+0.3
✕Randy Velarde 2002 · MLB	39	56→57	47→50	48→50	53	272/346/409	137	324	14	10	20%	9%	116	+2.5	250/330/386	136	304	14	11	21%	9%	105	+1.7	221/316/323	103	274	8	12	21%	9%	87	+0.1
✕Derrick White 2009 · AAA	39	58→61	52→55	51→45	52	293/355/463	170	317	20	6	15%	8%	131	+3.6	267/320/410	143	300	16	7	16%	7%	106	+1.8	276/326/412	135	308	15	3	15%	6%	105	+1.3
✕Rene Reyes 2017 · AAA	39	51→61	46→50	48→50	49	252/313/387	135	298	12	8	20%	8%	98	+1.2	234/294/366	132	291	14	8	24%	7%	86	+0.3	202/265/308	105	255	16	0	27%	7%	59	-0.5
✕Torii Hunter 2015 · MLB	40	59→65	50→65	45→55	44	295/334/456	161	334	17	5	17%	5%	122	+2.9	255/305/422	167	283	21	5	18%	6%	104	+1.6	237/291/403	166	258	23	2	19%	6%	95	+0.9
✕Pedro Castellano 2011 · AAA	41	54→61	44→50	50→45	46	265/310/378	113	308	12	5	18%	6%	95	+0.9	243/287/351	108	292	12	7	20%	5%	80	-0.1	246/289/345	99	292	13	5	20%	5%	78	-0.1
✕Yuli Gurriel 2024 · MLB	40	53→63	44→60	52→50	51	256/311/382	125	279	10	7	13%	7%	96	+1.0	231/297/355	124	269	12	12	18%	8%	85	+0.2	228/298/347	120	268	12	16	19%	9%	80	-0.1
✕Jayson Werth 2018 · MLB	39	46→56	52→60	44→55	55	236/324/404	168	279	20	6	23%	11%	107	+1.8	222/297/379	157	277	18	8	25%	9%	91	+0.6	156/220/295	138	198	13	0	28%	6%	42	-0.7
✕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
✕Jose Amador 2019 · AAA	39	46→56	45→50	45	52	230/306/352	122	261	13	5	18%	8%	88	+0.5	223/279/337	114	289	12	8	26%	6%	74	-0.5	204/251/286	82	267	10	3	27%	4%	51	-0.7
✕Roberto Mendez 2013 · AAA	40	48→56	45	45	52	237/310/358	121	288	12	4	22%	10%	91	+0.6	241/312/341	100	297	8	7	20%	9%	87	+0.4	249/322/324	75	306	4	5	18%	10%	86	+0.1
●Ruben Rivera 2013 · AAA	39	50→58	48→60	50→55	50	252/318/401	149	289	16	14	19%	8%	103	+1.6	242/313/389	147	281	16	19	19%	8%	99	+1.2	236/309/382	146	270	16	21	19%	8%	93	+0.6
✕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

Andrew McCutchen

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps