Billy Butler

PosDH

B/TR/R

Born1986-04-18

Age (2027)41

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2016

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2014	28	MLBKC	603	.271/.328/.379	9	0	99	0.0
2015	29	MLBOakland Athle…	601	.251/.325/.390	15	0	102	0.4
2016	30	MLBNYY	274	.284/.339/.416	5	0	110	0.1
2017	31	No MLB games played
2018	32	No MLB games played
2019	33	No MLB games played
2020	34	No MLB games played
2021	35	No MLB games played
2022	36	No MLB games played
2023	37	No MLB games played
2024	38	No MLB games played
2025	39	No MLB games played
2026	40	No MLB games played

Last 3 seasons WAR 0.5

Contract

No contract data on file.

Skills · percentileStatcast 2015-2016

xwOBA84

Avg EV58

Barrel%46

Speed10

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	19	AA	Wichita Wranglers	—	119	112	35	9	0	5	7	18	0	0	0	312	353	527	880	214	337	15	6	385	116	—	—	—	—	—	—
2005	19	A+	High Desert Mavericks	—	430	379	132	30	2	25	42	80	6	0	0	348	422	636	1.057	288	386	19	10	454	157	—	—	—	—	—	—
2006	20	AA	Wichita Wranglers	—	535	477	158	33	1	15	41	67	8	1	0	331	394	499	892	168	355	13	8	389	130	—	—	—	—	—	—
2007	21	MLB	Kansas City Royals	—	360	329	96	23	2	8	27	55	2	0	0	292	349	447	796	155	328	15	8	352	118	+8	+0	-0	-11	+8	0.4
2007	21	AAA	Omaha Royals	—	256	203	59	10	1	13	43	32	3	1	0	291	422	542	964	251	280	12	17	412	136	—	—	—	—	—	—
2008	22	MLB	Kansas City Royals	—	478	443	122	22	0	11	33	57	0	0	1	275	326	400	725	124	294	12	7	324	105	+3	-0	-5	-11	+10	-0.3
2008	22	AAA	Omaha Royals	—	115	101	34	6	1	5	14	7	0	0	0	337	417	564	982	228	326	6	12	430	141	—	—	—	—	—	—
2009	23	MLB	Kansas City Royals	—	672	608	183	51	1	21	58	103	2	1	0	301	364	492	856	191	332	15	9	375	138	+30	+0	-16	-12	+15	1.8
2010	24	MLB	Kansas City Royals	—	678	595	189	45	0	15	69	78	5	0	0	318	393	469	862	151	341	12	10	380	141	+33	+0	-14	-12	+15	2.3
2011	25	MLB	Kansas City Royals	—	673	597	174	44	0	19	66	95	3	2	1	291	365	461	826	169	316	14	10	364	126	+21	+0	-3	-12	+15	2.1
2012	26	MLB	Kansas City Royals	—	679	614	192	32	1	29	54	111	7	2	1	313	375	510	885	197	341	16	8	388	148	+39	+0	-3	-12	+15	4.0
2013	27	MLB	Kansas City Royals	—	668	582	168	27	0	15	79	102	3	0	0	289	377	412	789	124	326	15	12	355	122	+18	+0	+0	-12	+14	2.1
2014	28	MLB	Kansas City Royals	—	603	549	149	32	0	9	41	96	5	0	0	271	328	379	707	107	310	16	7	315	99	-0	+0	-2	-11	+13	0.0
2015	29	MLB	Oakland Athletics	—	601	538	135	28	1	15	52	101	7	0	0	251	325	390	715	139	282	17	9	320	102	+2	+0	-0	-11	+13	0.4
2016	30	MLB	New York Yankees	—	274	250	71	18	0	5	21	42	0	0	0	284	339	416	755	132	320	15	8	334	110	+3	+0	-4	-5	+6	0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	5686	5105	1479	322	5	147	500	840	34	5	3	290	357	441	798	151	320	15	9	354	125	+172	-0	-46	-108	+123	14.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	19	AA MLE	Wichita Wranglers	—	119	116	33	8	0	4	3	22	0	0	0	284	303	457	759	172	328	18	3	340	116	—	—	—	—	—	—
2005	19	A+ MLE	High Desert Mavericks	—	430	392	124	26	2	23	29	107	6	0	0	316	372	569	941	253	374	25	7	400	157	—	—	—	—	—	—
2006	20	AA MLE	Wichita Wranglers	—	535	490	157	31	1	13	28	82	8	1	0	320	367	467	834	147	348	15	5	361	130	—	—	—	—	—	—
2007	21	MLB MLE	Kansas City Royals	—	360	334	96	23	2	8	22	55	2	0	0	287	335	440	775	153	328	15	6	342	118	+8	+0	-0	-11	+8	0.4
2007	21	AAA MLE	Omaha Royals	—	256	216	58	9	1	11	30	41	3	1	0	269	365	472	838	204	268	16	12	369	136	—	—	—	—	—	—
2008	22	MLB MLE	Kansas City Royals	—	478	443	122	22	0	11	33	57	0	0	1	275	326	400	725	124	294	12	7	324	105	+3	-0	-5	-11	+10	-0.3
2008	22	AAA MLE	Omaha Royals	—	115	105	32	5	1	4	10	9	0	0	0	305	365	486	851	181	312	8	9	376	141	—	—	—	—	—	—
2009	23	MLB MLE	Kansas City Royals	—	672	611	183	51	1	21	55	103	2	1	0	300	359	489	849	190	332	15	8	372	138	+30	+0	-16	-12	+15	1.8
2010	24	MLB MLE	Kansas City Royals	—	678	603	191	45	0	16	61	78	5	0	0	317	384	471	855	154	341	12	9	377	141	+33	+0	-14	-12	+15	2.3
2011	25	MLB MLE	Kansas City Royals	—	673	612	177	44	0	21	51	95	3	2	1	289	347	464	811	175	316	14	8	354	126	+21	+0	-3	-12	+15	2.1
2012	26	MLB MLE	Kansas City Royals	—	679	623	195	32	1	31	45	111	7	2	1	313	366	517	883	204	341	16	7	387	148	+39	+0	-3	-12	+15	4.0
2013	27	MLB MLE	Kansas City Royals	—	668	593	170	27	0	16	68	102	3	0	0	287	363	413	776	126	326	15	10	349	122	+18	+0	+0	-12	+14	2.1
2014	28	MLB MLE	Kansas City Royals	—	603	552	151	32	0	10	38	96	5	0	0	274	326	386	712	112	310	16	6	315	99	-0	+0	-2	-11	+13	0.0
2015	29	MLB MLE	Oakland Athletics	—	601	542	135	27	1	16	48	101	7	0	0	249	318	391	709	142	282	17	8	320	102	+2	+0	-0	-11	+13	0.4
2016	30	MLB MLE	New York Yankees	—	274	251	71	18	0	5	20	42	0	0	0	283	336	414	750	131	320	15	7	330	110	+3	+0	-4	-5	+6	0.1
2005	19	A+ MLE	2 teams	—	549	508	158	34	2	28	32	129	6	0	0	311	359	551	910	240	367	23	6	387	148	—	—	—	—	—	—
2005	19	A+ RAW	2 teams	—	549	491	167	39	2	30	49	98	6	0	0	340	407	611	1.018	271	374	18	9	439	148	—	—	—	—	—	—
2006	20	AA MLE	Wichita Wranglers	—	535	490	157	31	1	13	28	82	8	1	0	320	367	467	834	147	357	15	5	361	130	—	—	—	—	—	—
2006	20	AA RAW	Wichita Wranglers	—	535	477	158	33	1	15	41	67	8	1	0	331	394	499	892	168	355	13	8	389	130	—	—	—	—	—	—
2007	21	MLB MLE	2 teams	—	616	550	154	32	3	19	52	96	5	1	0	280	348	453	800	173	305	16	8	353	125	+19	+0	-0	-11	+13	2.1
2007	21	MLB RAW	2 teams	—	616	532	155	33	3	21	70	87	5	1	0	291	379	483	862	192	310	14	11	377	125	+19	+0	-0	-11	+13	2.1
2008	22	MLB MLE	2 teams	—	593	548	154	27	1	15	43	66	0	0	1	281	333	416	749	135	296	11	7	334	112	+8	-0	-5	-11	+13	0.5
2008	22	MLB RAW	2 teams	—	593	544	156	28	1	16	47	64	0	0	1	287	343	430	774	143	300	11	8	344	112	+8	-0	-5	-11	+13	0.5
2009	23	MLB MLE	Kansas City Royals	—	672	611	183	51	1	21	55	103	2	1	0	300	359	489	849	190	330	15	8	372	138	+30	+0	-16	-12	+15	1.8
2009	23	MLB RAW	Kansas City Royals	—	672	608	183	51	1	21	58	103	2	1	0	301	364	492	856	191	332	15	9	375	138	+30	+0	-16	-12	+15	1.8
2010	24	MLB MLE	Kansas City Royals	—	678	603	191	45	0	16	61	78	5	0	0	317	384	471	855	154	338	12	9	377	141	+33	+0	-14	-12	+15	2.3
2010	24	MLB RAW	Kansas City Royals	—	678	595	189	45	0	15	69	78	5	0	0	318	393	469	862	151	341	12	10	380	141	+33	+0	-14	-12	+15	2.3
2011	25	MLB MLE	Kansas City Royals	—	673	612	177	44	0	21	51	95	3	2	1	289	347	464	811	175	310	14	8	354	126	+21	+0	-3	-12	+15	2.1
2011	25	MLB RAW	Kansas City Royals	—	673	597	174	44	0	19	66	95	3	2	1	291	365	461	826	169	316	14	10	364	126	+21	+0	-3	-12	+15	2.1
2012	26	MLB MLE	Kansas City Royals	—	679	623	195	32	1	31	45	111	7	2	1	313	366	517	883	204	338	16	7	387	148	+39	+0	-3	-12	+15	4.0
2012	26	MLB RAW	Kansas City Royals	—	679	614	192	32	1	29	54	111	7	2	1	313	375	510	885	197	341	16	8	388	148	+39	+0	-3	-12	+15	4.0
2013	27	MLB MLE	Kansas City Royals	—	668	593	170	27	0	16	68	102	3	0	0	287	363	413	776	126	322	15	10	349	122	+18	+0	+0	-12	+14	2.1
2013	27	MLB RAW	Kansas City Royals	—	668	582	168	27	0	15	79	102	3	0	0	289	377	412	789	124	326	15	12	355	122	+18	+0	+0	-12	+14	2.1
2014	28	MLB MLE	Kansas City Royals	—	603	552	151	32	0	10	38	96	5	0	0	274	326	386	712	112	311	16	6	315	99	-0	+0	-2	-11	+13	0.0
2014	28	MLB RAW	Kansas City Royals	—	603	549	149	32	0	9	41	96	5	0	0	271	328	379	707	107	310	16	7	315	99	-0	+0	-2	-11	+13	0.0
2015	29	MLB MLE	Oakland Athletics	—	601	542	135	27	1	16	48	101	7	0	0	249	318	391	709	142	277	17	8	320	102	+2	+0	-0	-11	+13	0.4
2015	29	MLB RAW	Oakland Athletics	—	601	538	135	28	1	15	52	101	7	0	0	251	325	390	715	139	282	17	9	320	102	+2	+0	-0	-11	+13	0.4
2016	30	MLB MLE	New York Yankees	—	274	251	71	18	0	5	20	42	0	0	0	283	336	414	750	131	319	15	7	330	110	+3	+0	-4	-5	+6	0.1
2016	30	MLB RAW	New York Yankees	—	274	250	71	18	0	5	21	42	0	0	0	284	339	416	755	132	320	15	8	334	110	+3	+0	-4	-5	+6	0.1
2005	19	A+ MLE	2 teams	—	549	506	158	34	2	28	32	129	6	0	0	312	359	553	912	241	364	23	6	387	148	—	—	—	—	—	—
2006	20	AA MLE	Wichita Wranglers	—	535	494	157	31	1	13	28	82	8	1	0	318	367	464	830	146	348	15	5	361	130	—	—	—	—	—	—
2007	21	MLB MLE	2 teams	—	616	554	154	32	3	19	52	96	5	1	0	278	348	449	797	171	303	16	8	353	125	—	—	—	—	—	—
2008	22	MLB MLE	2 teams	—	593	545	154	27	1	15	43	66	0	0	1	283	333	418	752	136	298	11	7	334	112	—	—	—	—	—	—
2009	23	MLB MLE	Kansas City Royals	—	672	610	183	51	1	21	55	103	2	1	0	300	359	490	849	190	332	15	8	372	138	—	—	—	—	—	—
2010	24	MLB MLE	Kansas City Royals	—	678	607	191	45	0	16	61	78	5	0	0	315	384	468	852	153	341	12	9	377	141	—	—	—	—	—	—
2011	25	MLB MLE	Kansas City Royals	—	673	614	177	44	0	21	51	95	3	2	1	288	347	463	809	174	316	14	8	354	126	—	—	—	—	—	—
2012	26	MLB MLE	Kansas City Royals	—	679	622	195	32	1	31	45	111	7	2	1	314	366	518	884	204	341	16	7	387	148	—	—	—	—	—	—
2013	27	MLB MLE	Kansas City Royals	—	668	592	170	27	0	16	68	102	3	0	0	287	363	414	777	127	326	15	10	349	122	—	—	—	—	—	—
2014	28	MLB MLE	Kansas City Royals	—	603	555	151	32	0	10	38	96	5	0	0	272	326	384	710	112	310	16	6	315	99	—	—	—	—	—	—
2015	29	MLB MLE	Oakland Athletics	—	601	541	135	27	1	16	48	101	7	0	0	250	318	392	710	142	282	17	8	320	102	—	—	—	—	—	—
2016	30	MLB MLE	New York Yankees	—	274	252	71	18	0	5	20	42	0	0	0	282	336	413	748	131	320	15	7	330	110	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5686	5105	1479	322	5	147	500	840	34	5	3	290	357	441	798	151	320	15	9	354	126	+172	-0	-46	-108	+123	14.4
/ 162G	—	A+C		—	650	584	170	37	1	17	57	96	4	1	0	291	358	445	803	154	321	15	9	354	126	+20	-0	-5	-12	+14	1.6
Career	—	MLE		—	7141	6483	1896	400	10	211	541	1101	51	7	3	292	352	455	807	162	322	15	8	355	126	+172	-0	-46	-108	+123	14.4
/ 162G	—	MLE		—	650	590	172	36	1	19	49	100	5	1	0	292	351	453	803	161	321	15	8	355	126	+20	-0	-5	-12	+14	1.6

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.

2008 AAAOmaha Royals · 115 PAwOBA .418 → .376 (−42)K% 6.1% → 7.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.09%	÷1.000	×1.290	—	—	7.85%
BB% (unintentional) /PA	12.17%	÷1.000	×0.710	—	×1.050	9.08%
HBP% /PA	0.00%	—	×0.980	—	×1.050	0.00%
Singles /BIP	23.40%	÷1.000	×0.900	×1.050	×1.050	23.22%
Doubles /BIP	6.38%	÷1.000	×0.810	×1.050	×1.050	5.70%
Triples /BIP	1.06%	÷1.000	×0.810	×1.050	×1.050	0.95%
Home runs /BIP	5.32%	÷1.000	×0.780	—	×1.050	4.36%

Factors used: league row PCL. 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 ×1.050.

Result: wOBA .418 → .376; ISO .228 → .196; BABIP .326 → .312. 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 AAAOmaha Royals · 256 PAwOBA .409 → .369 (−40)K% 12.5% → 16.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.50%	÷1.000	×1.290	—	—	16.12%
BB% (unintentional) /PA	16.02%	÷1.000	×0.710	—	×1.050	11.94%
HBP% /PA	1.17%	—	×0.980	—	×1.050	1.21%
Singles /BIP	20.47%	÷1.000	×0.900	×1.050	×1.050	20.31%
Doubles /BIP	5.85%	÷1.000	×0.810	×1.050	×1.050	5.22%
Triples /BIP	0.58%	÷1.000	×0.810	×1.050	×1.050	0.52%
Home runs /BIP	7.60%	÷1.000	×0.780	—	×1.050	6.23%

Factors used: league row PCL. 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 ×1.050.

Result: wOBA .409 → .369; ISO .251 → .223; BABIP .280 → .268. 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 AAWichita Wranglers · 535 PAwOBA .383 → .361 (−22)K% 12.5% → 15.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.52%	÷1.000	×1.220	—	—	15.28%
BB% (unintentional) /PA	7.10%	÷1.000	×0.700	—	×1.050	5.22%
HBP% /PA	1.50%	—	×0.870	—	×1.050	1.37%
Singles /BIP	26.59%	÷1.000	×0.920	×1.043	×1.050	26.79%
Doubles /BIP	8.05%	÷1.000	×0.840	×1.043	×1.050	7.40%
Triples /BIP	0.24%	÷1.000	×0.940	×1.043	×1.050	0.25%
Home runs /BIP	3.66%	÷1.000	×0.800	—	×1.050	3.07%

Factors used: league row TL. 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 ×1.043.

Result: wOBA .383 → .361; ISO .168 → .150; BABIP .355 → .348. 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 A+High Desert Mavericks · 430 PAwOBA .443 → .400 (−43)K% 18.6% → 24.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.60%	÷1.000	×1.340	—	—	24.93%
BB% (unintentional) /PA	9.07%	÷1.000	×0.710	—	×1.050	6.76%
HBP% /PA	1.40%	—	×0.790	—	×1.050	1.16%
Singles /BIP	25.08%	÷1.000	×0.910	×1.050	×1.050	25.17%
Doubles /BIP	10.03%	÷1.000	×0.820	×1.050	×1.050	9.07%
Triples /BIP	0.67%	÷1.000	×0.760	×1.050	×1.050	0.56%
Home runs /BIP	8.36%	÷1.000	×0.920	—	×1.050	8.08%

Factors used: league row CAL. 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 22.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .443 → .400; ISO .288 → .262; BABIP .386 → .374. 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 AAWichita Wranglers · 119 PAwOBA .366 → .340 (−26)K% 15.1% → 18.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.13%	÷1.000	×1.220	—	—	18.45%
BB% (unintentional) /PA	3.36%	÷1.000	×0.700	—	×1.050	2.47%
HBP% /PA	0.00%	—	×0.870	—	×1.050	0.00%
Singles /BIP	22.34%	÷1.000	×0.920	×1.043	×1.050	22.50%
Doubles /BIP	9.57%	÷1.000	×0.840	×1.043	×1.050	8.81%
Triples /BIP	0.00%	÷1.000	×0.940	×1.043	×1.050	0.00%
Home runs /BIP	5.32%	÷1.000	×0.800	—	×1.050	4.47%

Factors used: league row TL. 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 24.8 → +5.0% on BB/HBP/hit rates (5.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.043.

Result: wOBA .366 → .340; ISO .214 → .187; BABIP .337 → .328. 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).