José Bautista

PosRF

B/TR/R

Born1980-10-19

Age (2027)46

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	35	MLBTOR	517	.234/.368/.452	22	2	131	2.1
2017	36	MLBTOR	686	.203/.311/.366	23	6	91	-0.9
2018	37	AAAATL	44	.250/.386/.361	1	1	72	—	.211/.318/.316
2018	37	MLBPHI	399	.203/.349/.378	13	4	107	-0.0
2019	38	No MLB games played
2020	39	No MLB games played
2021	40	No MLB games played
2022	41	No MLB games played
2023	42	No MLB games played
2024	43	No MLB games played
2025	44	No MLB games played
2026	45	No MLB games played

Last 3 seasons WAR 1.2

Contract

No contract data on file.

Skills · percentileStatcast 2016-2018

xwOBA70

Avg EV62

Barrel%45

Speed12

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)
2004	23	MLB	Pittsburgh Pirates	—	96	88	18	3	0	0	7	40	0	0	1	205	263	239	502	34	375	42	7	232	43	-6	-0	-3	-1	+2	-0.9
2005	24	MLB	Pittsburgh Pirates	—	31	28	4	1	0	0	3	7	0	1	0	143	226	179	404	36	190	23	10	197	19	-3	+0	+2	+2	+1	0.2
2005	24	AAA	Indianapolis Indians	—	55	51	13	3	0	1	4	10	0	1	1	255	309	373	682	118	300	18	7	307	61	—	—	—	—	—	—
2005	24	AA	Altoona Curve	—	507	445	126	27	1	23	48	101	10	6	3	283	366	503	869	220	319	20	9	380	99	—	—	—	—	—	—
2006	25	MLB	Pittsburgh Pirates	—	469	400	94	20	3	16	46	110	16	2	4	235	338	420	758	185	281	23	10	336	111	+6	-1	-22	+2	+10	-0.5
2006	25	AAA	Indianapolis Indians	—	119	101	28	9	0	2	14	19	2	2	1	277	376	426	802	149	317	16	12	356	88	—	—	—	—	—	—
2007	26	MLB	Pittsburgh Pirates	—	614	532	135	36	2	15	68	101	4	6	3	254	343	414	756	160	284	16	11	334	112	+8	+0	-6	+2	+13	1.8
2008	27	MLB	Toronto Blue Jays	—	424	370	88	17	0	15	40	91	2	1	1	238	316	405	721	168	272	21	9	314	93	-4	-0	-2	+2	+9	0.5
2008	27	AAA	Indianapolis Indians	—	23	20	6	2	0	2	3	6	0	1	0	300	391	700	1.091	400	333	26	13	462	130	—	—	—	—	—	—
2009	28	MLB	Toronto Blue Jays	—	404	336	79	13	3	13	56	85	4	4	0	235	351	408	759	173	275	21	14	336	113	+6	+1	+2	-4	+9	1.3
2010	29	MLB	Toronto Blue Jays	—	683	569	148	35	3	54	100	116	10	9	2	260	380	617	997	357	233	17	15	425	172	+58	+1	-13	-7	+15	5.5
2011	30	MLB	Toronto Blue Jays	—	655	513	155	24	2	43	132	111	6	9	5	302	450	608	1.058	306	309	17	20	455	176	+59	-0	-10	-7	+14	5.7
2012	31	MLB	Toronto Blue Jays	—	399	332	80	14	0	27	59	63	4	5	2	241	362	527	889	286	215	16	15	385	144	+21	+0	-1	-4	+9	2.5
2013	32	MLB	Toronto Blue Jays	—	528	452	117	24	0	28	69	84	3	7	2	259	361	498	858	239	259	16	13	375	138	+24	+1	-1	-6	+11	3.0
2014	33	MLB	Toronto Blue Jays	—	673	553	158	27	0	35	104	96	9	6	2	286	407	524	931	239	287	14	15	406	153	+43	+0	-5	-7	+15	4.6
2015	34	MLB	Toronto Blue Jays	—	666	543	136	29	3	40	110	106	5	8	2	250	381	536	917	285	237	16	17	396	152	+41	+1	-8	-7	+14	4.2
2016	35	MLB	Toronto Blue Jays	—	517	423	99	24	1	22	87	103	3	2	2	234	368	452	820	217	255	20	17	364	131	+19	-0	-4	-6	+11	2.1
2017	36	MLB	Toronto Blue Jays	—	686	587	119	27	0	23	84	170	8	6	3	203	311	366	677	164	239	25	12	305	91	-8	+0	-8	-7	+15	-0.9
2018	37	MLB	Philadelphia Phillies	—	399	325	66	18	0	13	67	111	6	4	3	203	349	378	728	175	262	28	17	333	107	+3	-0	-7	-5	+9	-0.0
2018	37	AAA	Gwinnett Stripers	—	44	36	9	1	0	1	6	8	2	1	1	250	386	361	747	111	296	18	14	349	72	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	7244	6051	1496	312	17	344	1032	1394	80	70	32	247	364	475	839	228	264	19	14	368	135	+305	+1	-88	-54	+157	32.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2004	23	MLB MLE	Pittsburgh Pirates	—	96	88	18	3	0	0	7	40	0	0	1	205	263	239	502	34	375	42	7	232	43	-6	-0	-3	-1	+2	-0.9
2005	24	MLB MLE	Pittsburgh Pirates	—	31	28	4	1	0	0	3	7	0	1	0	143	226	179	404	36	190	23	10	197	19	-3	+0	+2	+2	+1	0.2
2005	24	AAA MLE	Indianapolis Indians	—	55	52	12	3	0	1	3	12	0	1	1	231	273	346	619	115	280	22	5	259	61	—	—	—	—	—	—
2005	24	AA MLE	Altoona Curve	—	507	461	114	23	1	18	32	123	10	6	3	247	310	419	729	171	294	24	6	314	99	—	—	—	—	—	—
2006	25	MLB MLE	Pittsburgh Pirates	—	469	402	94	20	3	16	44	110	16	2	4	234	333	418	751	184	281	23	9	333	111	+6	-1	-22	+2	+10	-0.5
2006	25	AAA MLE	Indianapolis Indians	—	119	106	26	8	0	2	9	23	2	2	1	245	316	377	694	132	274	19	8	298	88	—	—	—	—	—	—
2007	26	MLB MLE	Pittsburgh Pirates	—	614	533	135	36	2	15	67	101	4	6	3	253	341	413	754	159	284	16	11	333	112	+8	+0	-6	+2	+13	1.8
2008	27	MLB MLE	Toronto Blue Jays	—	424	375	88	17	0	15	35	91	2	1	1	235	303	400	703	165	272	21	8	306	93	-4	-0	-2	+2	+9	0.5
2008	27	AAA MLE	Indianapolis Indians	—	23	21	6	2	0	2	2	7	0	1	0	286	348	667	1.014	381	283	30	9	361	130	—	—	—	—	—	—
2009	28	MLB MLE	Toronto Blue Jays	—	404	337	79	13	3	13	55	85	4	4	0	234	348	407	755	172	275	21	14	335	113	+6	+1	+2	-4	+9	1.3
2010	29	MLB MLE	Toronto Blue Jays	—	683	571	148	35	3	54	98	116	10	9	2	259	377	615	992	356	233	17	14	422	172	+58	+1	-13	-7	+15	5.5
2011	30	MLB MLE	Toronto Blue Jays	—	655	537	155	24	2	43	108	111	6	9	5	289	413	581	994	292	309	17	16	429	176	+59	-0	-10	-7	+14	5.7
2012	31	MLB MLE	Toronto Blue Jays	—	399	334	80	14	0	27	57	63	4	5	2	240	357	524	881	284	215	16	14	381	144	+21	+0	-1	-4	+9	2.5
2013	32	MLB MLE	Toronto Blue Jays	—	528	454	117	24	0	28	67	84	3	7	2	258	357	496	852	238	259	16	13	372	138	+24	+1	-1	-6	+11	3.0
2014	33	MLB MLE	Toronto Blue Jays	—	673	564	158	27	0	35	93	96	9	6	2	280	390	514	905	234	287	14	14	395	153	+43	+0	-5	-7	+15	4.6
2015	34	MLB MLE	Toronto Blue Jays	—	666	545	136	29	3	40	108	106	5	8	2	250	378	534	912	284	237	16	16	393	152	+41	+1	-8	-7	+14	4.2
2016	35	MLB MLE	Toronto Blue Jays	—	517	424	99	24	1	22	86	103	3	2	2	233	366	450	817	217	255	20	17	362	131	+19	-0	-4	-6	+11	2.1
2017	36	MLB MLE	Toronto Blue Jays	—	686	590	119	27	0	23	81	170	8	6	3	202	306	364	671	163	239	25	12	302	91	-8	+0	-8	-7	+15	-0.9
2018	37	MLB MLE	Philadelphia Phillies	—	399	327	65	18	0	12	65	111	6	4	3	199	342	364	706	165	262	28	16	326	107	+3	-0	-7	-5	+9	-0.0
2018	37	AAA MLE	Gwinnett Stripers	—	44	38	8	1	0	1	4	10	2	1	1	211	318	316	634	105	252	23	9	274	72	—	—	—	—	—	—
2004	23	MLB MLE	Pittsburgh Pirates	—	96	88	18	3	0	0	7	40	0	0	1	205	263	239	502	34	375	42	7	232	43	-6	-0	-3	-1	+2	-0.9
2004	23	MLB RAW	Pittsburgh Pirates	—	96	88	18	3	0	0	7	40	0	0	1	205	263	239	502	34	375	42	7	232	43	-6	-0	-3	-1	+2	-0.9
2005	24	AA MLE	3 teams	—	593	541	131	27	1	19	38	142	10	8	4	242	304	401	705	159	293	24	6	303	91	—	—	—	—	—	—
2005	24	AA RAW	3 teams	—	593	524	143	31	1	24	55	118	10	8	4	273	353	473	826	200	310	20	9	364	91	—	—	—	—	—	—
2006	25	MLB MLE	2 teams	—	588	508	120	28	3	18	53	133	18	4	5	236	330	409	739	173	281	23	9	326	107	+5	-1	-22	+2	+13	-0.4
2006	25	MLB RAW	2 teams	—	588	501	122	29	3	18	60	129	18	4	5	244	345	421	767	178	289	22	10	340	107	+5	-1	-22	+2	+13	-0.4
2007	26	MLB MLE	Pittsburgh Pirates	—	614	533	135	36	2	15	67	101	4	6	3	253	341	413	754	159	284	16	11	333	112	+8	+0	-6	+2	+13	1.8
2007	26	MLB RAW	Pittsburgh Pirates	—	614	532	135	36	2	15	68	101	4	6	3	254	343	414	756	160	284	16	11	334	112	+8	+0	-6	+2	+13	1.8
2008	27	MLB MLE	2 teams	—	447	396	94	19	0	17	37	98	2	2	1	237	306	414	720	177	270	22	8	309	95	-3	+0	-2	+2	+10	0.7
2008	27	MLB RAW	2 teams	—	447	390	94	19	0	17	43	97	2	2	1	241	320	421	740	179	275	22	10	322	95	-3	+0	-2	+2	+10	0.7
2009	28	MLB MLE	Toronto Blue Jays	—	404	337	79	13	3	13	55	85	4	4	0	234	348	407	755	172	274	21	14	335	113	+6	+1	+2	-4	+9	1.3
2009	28	MLB RAW	Toronto Blue Jays	—	404	336	79	13	3	13	56	85	4	4	0	235	351	408	759	173	275	21	14	336	113	+6	+1	+2	-4	+9	1.3
2010	29	MLB MLE	Toronto Blue Jays	—	683	571	148	35	3	54	98	116	10	9	2	259	377	615	992	356	232	17	14	422	172	+58	+1	-13	-7	+15	5.5
2010	29	MLB RAW	Toronto Blue Jays	—	683	569	148	35	3	54	100	116	10	9	2	260	380	617	997	357	233	17	15	425	172	+58	+1	-13	-7	+15	5.5
2011	30	MLB MLE	Toronto Blue Jays	—	655	537	155	24	2	43	108	111	6	9	5	289	413	581	994	292	289	17	16	429	176	+59	-0	-10	-7	+14	5.7
2011	30	MLB RAW	Toronto Blue Jays	—	655	513	155	24	2	43	132	111	6	9	5	302	450	608	1.058	306	309	17	20	455	176	+59	-0	-10	-7	+14	5.7
2012	31	MLB MLE	Toronto Blue Jays	—	399	334	80	14	0	27	57	63	4	5	2	240	357	524	881	284	214	16	14	381	144	+21	+0	-1	-4	+9	2.5
2012	31	MLB RAW	Toronto Blue Jays	—	399	332	80	14	0	27	59	63	4	5	2	241	362	527	889	286	215	16	15	385	144	+21	+0	-1	-4	+9	2.5
2013	32	MLB MLE	Toronto Blue Jays	—	528	454	117	24	0	28	67	84	3	7	2	258	357	496	852	238	257	16	13	372	138	+24	+1	-1	-6	+11	3.0
2013	32	MLB RAW	Toronto Blue Jays	—	528	452	117	24	0	28	69	84	3	7	2	259	361	498	858	239	259	16	13	375	138	+24	+1	-1	-6	+11	3.0
2014	33	MLB MLE	Toronto Blue Jays	—	673	564	158	27	0	35	93	96	9	6	2	280	390	514	905	234	280	14	14	395	153	+43	+0	-5	-7	+15	4.6
2014	33	MLB RAW	Toronto Blue Jays	—	673	553	158	27	0	35	104	96	9	6	2	286	407	524	931	239	287	14	15	406	153	+43	+0	-5	-7	+15	4.6
2015	34	MLB MLE	Toronto Blue Jays	—	666	545	136	29	3	40	108	106	5	8	2	250	378	534	912	284	236	16	16	393	152	+41	+1	-8	-7	+14	4.2
2015	34	MLB RAW	Toronto Blue Jays	—	666	543	136	29	3	40	110	106	5	8	2	250	381	536	917	285	237	16	17	396	152	+41	+1	-8	-7	+14	4.2
2016	35	MLB MLE	Toronto Blue Jays	—	517	424	99	24	1	22	86	103	3	2	2	233	366	450	817	217	254	20	17	362	131	+19	-0	-4	-6	+11	2.1
2016	35	MLB RAW	Toronto Blue Jays	—	517	423	99	24	1	22	87	103	3	2	2	234	368	452	820	217	255	20	17	364	131	+19	-0	-4	-6	+11	2.1
2017	36	MLB MLE	Toronto Blue Jays	—	686	590	119	27	0	23	81	170	8	6	3	202	306	364	671	163	238	25	12	302	91	-8	+0	-8	-7	+15	-0.9
2017	36	MLB RAW	Toronto Blue Jays	—	686	587	119	27	0	23	84	170	8	6	3	203	311	366	677	164	239	25	12	305	91	-8	+0	-8	-7	+15	-0.9
2018	37	MLB MLE	2 teams	—	443	365	73	19	0	13	69	121	8	5	4	200	339	359	698	159	259	27	16	321	103	+2	-1	-7	-5	+10	-0.1
2018	37	MLB RAW	2 teams	—	443	361	75	19	0	14	73	119	8	5	4	208	353	377	730	169	266	27	16	335	103	+2	-1	-7	-5	+10	-0.1
2004	23	MLB MLE	Pittsburgh Pirates	—	96	89	18	3	0	0	7	40	0	0	1	202	263	236	499	34	375	42	7	232	43	—	—	—	—	—	—
2005	24	AA MLE	3 teams	—	593	540	131	27	1	19	38	142	10	8	4	243	304	402	706	159	287	24	6	303	91	—	—	—	—	—	—
2006	25	MLB MLE	2 teams	—	588	512	120	28	3	18	53	133	18	4	5	234	330	406	736	172	279	23	9	326	107	—	—	—	—	—	—
2007	26	MLB MLE	Pittsburgh Pirates	—	614	538	135	36	2	15	67	101	4	6	3	251	341	409	750	158	284	16	11	333	112	—	—	—	—	—	—
2008	27	MLB MLE	2 teams	—	447	405	94	19	0	17	37	98	2	2	1	232	306	405	711	173	273	22	8	309	95	—	—	—	—	—	—
2009	28	MLB MLE	Toronto Blue Jays	—	404	342	79	13	3	13	55	85	4	4	0	231	348	401	749	170	275	21	14	335	113	—	—	—	—	—	—
2010	29	MLB MLE	Toronto Blue Jays	—	683	570	148	35	3	54	98	116	10	9	2	260	377	616	993	356	233	17	14	422	172	—	—	—	—	—	—
2011	30	MLB MLE	Toronto Blue Jays	—	655	536	155	24	2	43	108	111	6	9	5	289	413	582	995	293	309	17	16	429	176	—	—	—	—	—	—
2012	31	MLB MLE	Toronto Blue Jays	—	399	335	80	14	0	27	57	63	4	5	2	239	357	522	879	284	215	16	14	381	144	—	—	—	—	—	—
2013	32	MLB MLE	Toronto Blue Jays	—	528	453	117	24	0	28	67	84	3	7	2	258	357	497	854	238	259	16	13	372	138	—	—	—	—	—	—
2014	33	MLB MLE	Toronto Blue Jays	—	673	566	158	27	0	35	93	96	9	6	2	279	390	512	903	233	287	14	14	395	153	—	—	—	—	—	—
2015	34	MLB MLE	Toronto Blue Jays	—	666	548	136	29	3	40	108	106	5	8	2	248	378	531	909	283	237	16	16	393	152	—	—	—	—	—	—
2016	35	MLB MLE	Toronto Blue Jays	—	517	423	99	24	1	22	86	103	3	2	2	234	366	452	818	217	255	20	17	362	131	—	—	—	—	—	—
2017	36	MLB MLE	Toronto Blue Jays	—	686	592	119	27	0	23	81	170	8	6	3	201	306	363	670	162	239	25	12	302	91	—	—	—	—	—	—
2018	37	MLB MLE	2 teams	—	443	363	73	19	0	13	69	121	8	5	4	201	339	361	700	160	261	27	16	321	103	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	7244	6051	1496	312	17	344	1032	1394	80	70	32	247	364	475	839	228	264	19	14	368	128	+305	+1	-88	-54	+157	32.8
/ 162G	—	A+C		—	650	543	135	28	2	31	93	125	7	6	3	249	365	479	844	230	265	19	14	368	128	+27	+0	-8	-5	+14	2.9
Career	—	MLE		—	7992	6787	1662	349	18	367	1024	1569	94	81	38	245	352	464	816	219	264	20	13	357	128	+305	+1	-88	-54	+157	32.8
/ 162G	—	MLE		—	650	552	134	28	1	30	83	128	8	7	3	243	350	460	810	217	261	20	13	357	128	+27	+0	-8	-5	+14	2.9

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.

2018 AAAGwinnett Stripers · 44 PAwOBA .341 → .274 (−67)K% 18.2% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.18%	÷0.952	×1.200	—	—	22.92%
BB% (unintentional) /PA	13.64%	÷0.947	×0.690	—	×0.940	9.34%
HBP% /PA	4.55%	—	×0.940	—	×0.940	4.02%
Singles /BIP	25.00%	÷1.010	×0.930	—	×0.940	21.65%
Doubles /BIP	3.57%	÷0.995	×0.830	—	×0.940	2.80%
Triples /BIP	0.00%	÷1.116	×0.970	—	×0.940	0.00%
Home runs /BIP	3.57%	÷0.970	×0.840	—	×0.940	2.91%

Factors used: league row IL. Park (home-season share, regressed): HR 94, 1B 102, 2B 99, 3B 123, K 90, BB 89 — applied at half strength. Age: age 38 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (10.8 yr older than average).

Result: wOBA .341 → .274; ISO .111 → .090; BABIP .296 → .252. 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 · 23 PAwOBA .449 → .361 (−88)K% 26.1% → 31.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.09%	÷1.000	×1.200	—	—	31.30%
BB% (unintentional) /PA	13.04%	÷1.000	×0.690	—	×0.992	8.93%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	14.29%	÷1.000	×0.930	—	×0.992	13.18%
Doubles /BIP	14.29%	÷1.000	×0.830	—	×0.992	11.76%
Triples /BIP	0.00%	÷1.000	×0.970	—	×0.992	0.00%
Home runs /BIP	14.29%	÷1.000	×0.840	—	×0.992	11.90%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average).

Result: wOBA .449 → .361; ISO .400 → .326; BABIP .333 → .283. 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 AAAIndianapolis Indians · 119 PAwOBA .350 → .298 (−52)K% 16.0% → 19.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.97%	÷1.000	×1.200	—	—	19.16%
BB% (unintentional) /PA	10.92%	÷1.000	×0.690	—	×1.018	7.67%
HBP% /PA	1.68%	—	×0.940	—	×1.018	1.61%
Singles /BIP	20.73%	÷1.000	×0.930	×0.952	×1.018	18.68%
Doubles /BIP	10.98%	÷1.000	×0.830	×0.952	×1.018	8.83%
Triples /BIP	0.00%	÷1.000	×0.970	×0.952	×1.018	0.00%
Home runs /BIP	2.44%	÷1.000	×0.840	—	×1.018	2.09%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.952.

Result: wOBA .350 → .298; ISO .149 → .127; BABIP .317 → .274. 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 AAAltoona Curve · 507 PAwOBA .370 → .314 (−57)K% 19.9% → 24.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.92%	÷1.000	×1.220	—	—	24.30%
BB% (unintentional) /PA	9.07%	÷1.000	×0.700	—	×0.998	6.34%
HBP% /PA	1.97%	—	×0.850	—	×0.998	1.67%
Singles /BIP	21.80%	÷1.000	×0.970	×0.996	×0.998	21.02%
Doubles /BIP	7.85%	÷1.000	×0.860	×0.996	×0.998	6.71%
Triples /BIP	0.29%	÷1.000	×0.950	×0.996	×0.998	0.27%
Home runs /BIP	6.69%	÷1.000	×0.780	—	×0.998	5.20%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.996.

Result: wOBA .370 → .314; ISO .220 → .176; BABIP .319 → .294. 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 AAAIndianapolis Indians · 55 PAwOBA .299 → .259 (−39)K% 18.2% → 21.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.18%	÷1.000	×1.200	—	—	21.82%
BB% (unintentional) /PA	7.27%	÷1.000	×0.690	—	×1.033	5.18%
HBP% /PA	0.00%	—	×0.940	—	×1.033	0.00%
Singles /BIP	21.95%	÷1.000	×0.930	—	×1.033	21.09%
Doubles /BIP	7.32%	÷1.000	×0.830	—	×1.033	6.27%
Triples /BIP	0.00%	÷1.000	×0.970	—	×1.033	0.00%
Home runs /BIP	2.44%	÷1.000	×0.840	—	×1.033	2.12%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average).

Result: wOBA .299 → .259; ISO .118 → .099; BABIP .300 → .280. 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).