Steve Pearce

Pos1B

B/TR/R

Born1983-04-13

Age (2027)44

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	34	MLBTOR	348	.252/.322/.438	13	0	111	0.0
2018	35	MLBBOS	251	.284/.382/.512	11	0	146	1.3
2019	36	AAAPawtucket Red…	29	.167/.310/.208	0	0	26	—	.160/.276/.200
2019	36	MLBBOS	99	.180/.245/.258	1	0	37	-0.9
2020	37	No MLB games played
2021	38	No MLB games played
2022	39	No MLB games played
2023	40	No MLB games played
2024	41	No MLB games played
2025	42	No MLB games played
2026	43	No MLB games played

Last 3 seasons WAR 0.4

Contract

No contract data on file.

Skills · percentileStatcast 2017-2019

xwOBA73

Barrel%49

Avg EV37

Speed27

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)
2006	23	A+	Lynchburg Hillcats	—	377	328	87	27	1	14	34	65	10	7	5	265	352	482	834	216	289	17	9	364	82	—	—	—	—	—	—
2006	23	A	Hickory Crawdads	—	179	160	46	13	1	12	15	32	4	1	3	287	363	606	969	319	293	18	8	418	101	—	—	—	—	—	—
2007	24	MLB	Pittsburgh Pirates	—	73	68	20	5	1	0	5	12	0	2	1	294	342	397	740	103	357	16	7	331	110	+1	+0	+1	-7	+2	-0.3
2007	24	AAA	Indianapolis Indians	—	131	122	39	9	1	6	6	12	3	5	0	320	366	557	924	238	317	9	5	404	122	—	—	—	—	—	—
2007	24	AA	Altoona Curve	—	335	290	97	27	2	14	33	45	4	7	2	334	410	586	996	252	347	13	10	423	143	—	—	—	—	—	—
2007	24	A+	Lynchburg Hillcats	—	85	75	26	4	1	11	8	13	1	2	0	347	417	867	1.283	520	288	15	9	529	184	—	—	—	—	—	—
2008	25	MLB	Pittsburgh Pirates	—	119	109	27	7	0	4	5	22	3	2	0	248	299	422	721	174	271	18	4	315	99	-0	+0	-4	-6	+3	-0.7
2008	25	AAA	Indianapolis Indians	—	433	386	97	26	1	12	32	75	5	10	4	251	317	417	734	166	279	17	7	320	77	—	—	—	—	—	—
2009	26	MLB	Pittsburgh Pirates	—	186	165	34	13	1	4	21	43	0	1	0	206	296	370	665	164	254	23	11	300	89	-2	+0	-3	-9	+4	-1.0
2009	26	AAA	Indianapolis Indians	—	317	273	78	18	1	13	34	46	6	3	7	286	377	502	879	216	300	15	11	383	107	—	—	—	—	—	—
2010	27	MLB	Pittsburgh Pirates	—	38	29	8	2	1	0	7	6	0	0	0	276	417	414	830	138	320	16	18	358	127	+1	+0	+0	-4	+1	-0.1
2010	27	AAA	Indianapolis Indians	—	158	129	42	14	2	3	24	27	1	7	2	326	435	535	970	209	379	17	15	416	121	—	—	—	—	—	—
2011	28	MLB	Pittsburgh Pirates	—	105	94	19	2	0	1	7	21	1	0	0	202	265	255	520	53	243	20	7	236	47	-7	+0	-3	-2	+2	-1.0
2011	28	AAA	Indianapolis Indians	—	30	30	8	2	0	3	0	9	0	0	0	267	267	633	900	367	278	30	0	384	89	—	—	—	—	—	—
2012	29	MLB	New York Yankees	—	188	159	38	8	1	4	20	41	3	1	2	239	335	377	713	138	288	22	11	314	95	-1	-1	-4	-4	+4	-0.6
2012	29	AAA	Scranton/Wilkes-Barre Yankees	—	227	192	61	15	0	11	29	33	5	3	1	318	420	568	988	250	336	15	13	431	122	—	—	—	—	—	—
2013	30	MLB	Baltimore Orioles	—	138	119	31	7	0	4	15	25	4	1	0	261	362	420	782	160	300	18	11	354	115	+2	+0	+0	-1	+3	0.5
2014	31	MLB	Baltimore Orioles	—	383	338	99	26	0	21	40	76	4	5	0	293	374	556	931	263	322	20	10	405	152	+23	+1	+3	-7	+8	2.9
2015	32	MLB	Baltimore Orioles	—	325	294	64	13	1	15	23	69	7	1	1	218	290	422	712	204	232	21	7	315	92	-3	-0	-6	-3	+7	-0.6
2016	33	MLB	Baltimore Orioles	—	302	264	76	13	1	13	34	54	3	0	3	288	375	492	868	205	318	18	11	383	136	+13	-1	-4	-5	+7	0.9
2017	34	MLB	Toronto Blue Jays	—	348	313	79	17	1	13	27	68	5	0	0	252	322	438	759	185	281	20	8	335	111	+4	+0	-8	-4	+8	0.0
2017	34	AA	New Hampshire Fisher Cats	—	16	15	0	0	0	0	1	3	0	0	0		62		62			19	6	44	-94	—	—	—	—	—	—
2018	35	MLB	Boston Red Sox	—	251	215	61	14	1	11	29	41	5	0	0	284	382	512	893	228	303	16	12	391	146	+14	+0	-1	-5	+5	1.3
2018	35	AAA	Buffalo Bisons	—	15	11	4	0	0	1	3	1	1	0	0	364	533	636	1.170	273	333	7	20	508	167	—	—	—	—	—	—
2019	36	MLB	Boston Red Sox	—	99	89	16	4	0	1	7	31	1	0	0	180	245	258	503	79	259	31	7	230	37	-7	+0	-2	-2	+2	-0.9
2019	36	AAA	Pawtucket Red Sox	—	29	24	4	1	0	0	3	10	2	0	0	167	310	208	519	42	286	34	10	261	26	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2555	2256	572	131	8	91	240	509	36	13	7	254	335	440	774	186	287	20	9	342	118	+54	-0	-30	-60	+55	1.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2006	23	A+ MLE	Lynchburg Hillcats	—	377	341	74	21	1	12	21	92	10	7	5	217	282	390	672	173	251	24	6	290	82	—	—	—	—	—	—
2006	23	A MLE	Hickory Crawdads	—	179	166	37	10	1	9	9	43	4	1	3	223	279	458	737	235	245	24	5	317	101	—	—	—	—	—	—
2007	24	MLB MLE	Pittsburgh Pirates	—	73	68	20	5	1	0	5	12	0	2	1	294	342	397	740	103	357	16	7	331	110	+1	+0	+1	-7	+2	-0.3
2007	24	AAA MLE	Indianapolis Indians	—	131	124	36	8	1	5	4	14	3	5	0	290	328	492	820	202	290	11	3	348	122	—	—	—	—	—	—
2007	24	AA MLE	Altoona Curve	—	335	300	93	25	2	11	23	55	4	7	2	310	367	517	884	207	328	16	7	379	143	—	—	—	—	—	—
2007	24	A+ MLE	Lynchburg Hillcats	—	85	78	23	3	1	10	5	18	1	2	0	295	345	744	1.089	449	261	21	6	440	184	—	—	—	—	—	—
2008	25	MLB MLE	Pittsburgh Pirates	—	119	109	27	7	0	4	5	22	3	2	0	248	299	422	721	174	271	18	4	315	99	-0	+0	-4	-6	+3	-0.7
2008	25	AAA MLE	Indianapolis Indians	—	433	397	92	23	1	11	21	90	5	10	4	232	279	378	657	146	260	21	5	282	77	—	—	—	—	—	—
2009	26	MLB MLE	Pittsburgh Pirates	—	186	165	34	13	1	4	21	43	0	1	0	206	296	370	665	164	254	23	11	300	89	-2	+0	-3	-9	+4	-1.0
2009	26	AAA MLE	Indianapolis Indians	—	317	284	71	15	1	11	23	55	6	3	7	250	319	426	746	176	268	17	7	327	107	—	—	—	—	—	—
2010	27	MLB MLE	Pittsburgh Pirates	—	38	29	8	2	1	0	7	6	0	0	0	276	417	414	830	138	320	16	18	356	127	+1	+0	+0	-4	+1	-0.1
2010	27	AAA MLE	Indianapolis Indians	—	158	138	38	12	2	3	15	33	1	7	2	275	351	457	807	181	317	21	9	347	121	—	—	—	—	—	—
2011	28	MLB MLE	Pittsburgh Pirates	—	105	94	19	2	0	1	7	21	1	0	0	202	265	255	520	53	243	20	7	237	47	-7	+0	-3	-2	+2	-1.0
2011	28	AAA MLE	Indianapolis Indians	—	30	30	7	2	0	2	0	11	0	0	0	233	233	500	733	267	246	37	0	300	89	—	—	—	—	—	—
2012	29	MLB MLE	New York Yankees	—	188	160	38	8	1	4	19	41	3	1	2	237	330	375	705	138	288	22	10	308	95	-1	-1	-4	-4	+4	-0.6
2012	29	AAA MLE	Scranton/Wilkes-Barre Yankees	—	227	204	53	11	0	10	17	40	5	3	1	260	332	461	793	201	277	18	7	348	122	—	—	—	—	—	—
2013	30	MLB MLE	Baltimore Orioles	—	138	121	31	7	0	4	13	25	4	1	0	256	348	413	761	157	300	18	9	338	115	+2	+0	+0	-1	+3	0.5
2014	31	MLB MLE	Baltimore Orioles	—	383	339	96	26	0	19	39	76	4	5	0	283	364	528	892	245	322	20	10	392	152	+23	+1	+3	-7	+8	2.9
2015	32	MLB MLE	Baltimore Orioles	—	325	295	63	13	1	14	22	69	7	1	1	214	284	407	691	193	232	21	7	304	92	-3	-0	-6	-3	+7	-0.6
2016	33	MLB MLE	Baltimore Orioles	—	302	266	75	13	1	12	32	54	3	0	3	282	365	474	839	192	318	18	11	369	136	+13	-1	-4	-5	+7	0.9
2017	34	MLB MLE	Toronto Blue Jays	—	348	314	79	17	1	13	26	68	5	0	0	252	319	436	755	185	281	20	7	332	111	+4	+0	-8	-4	+8	0.0
2017	34	AA MLE	New Hampshire Fisher Cats	—	16	15	0	0	0	0	1	4	0	0	0		62		62			25	6	29	-94	—	—	—	—	—	—
2018	35	MLB MLE	Boston Red Sox	—	251	215	58	12	1	11	29	41	5	0	0	270	369	488	858	219	303	16	12	384	146	+14	+0	-1	-5	+5	1.3
2018	35	AAA MLE	Buffalo Bisons	—	15	12	4	0	0	1	2	1	1	0	0	333	467	583	1.050	250	292	7	13	415	167	—	—	—	—	—	—
2019	36	MLB MLE	Boston Red Sox	—	99	90	16	4	0	1	7	31	1	0	0	178	245	256	500	78	259	31	7	223	37	-7	+0	-2	-2	+2	-0.9
2019	36	AAA MLE	Pawtucket Red Sox	—	29	25	4	1	0	0	2	12	2	0	0	160	276	200	476	40	259	41	7	206	26	—	—	—	—	—	—
2006	23	A+ MLE	2 teams	—	556	506	112	31	2	22	31	135	14	8	8	221	285	421	706	200	255	24	6	299	88	—	—	—	—	—	—
2006	23	A+ RAW	2 teams	—	556	488	133	40	2	26	49	97	14	8	8	273	356	523	878	250	290	17	9	381	88	—	—	—	—	—	—
2007	24	AA MLE	4 teams	—	624	569	171	40	5	26	38	100	8	16	3	301	353	525	878	225	321	16	6	375	140	—	—	—	—	—	—
2007	24	AA RAW	4 teams	—	624	555	182	45	5	31	52	82	8	16	3	328	393	595	988	267	335	13	8	423	140	—	—	—	—	—	—
2008	25	AAA MLE	2 teams	—	552	506	119	30	1	15	26	112	8	12	4	235	283	387	671	152	269	20	5	289	82	—	—	—	—	—	—
2008	25	AAA RAW	2 teams	—	552	495	124	33	1	16	37	97	8	12	4	251	313	418	731	168	277	18	7	319	82	—	—	—	—	—	—
2009	26	AAA MLE	2 teams	—	503	449	105	28	2	15	44	98	6	4	7	234	311	405	716	171	265	19	9	317	101	—	—	—	—	—	—
2009	26	AAA RAW	2 teams	—	503	438	112	31	2	17	55	89	6	4	7	256	347	452	799	196	284	18	11	352	101	—	—	—	—	—	—
2010	27	AAA MLE	2 teams	—	196	167	46	14	3	3	22	39	1	7	2	275	363	449	812	174	328	20	11	349	122	—	—	—	—	—	—
2010	27	AAA RAW	2 teams	—	196	158	50	16	3	3	31	33	1	7	2	316	432	513	944	196	367	17	16	405	122	—	—	—	—	—	—
2011	28	MLB MLE	2 teams	—	135	124	26	4	0	3	7	32	1	0	0	210	258	315	572	105	253	24	5	251	56	-7	+0	-3	-2	+3	-1.0
2011	28	MLB RAW	2 teams	—	135	124	27	4	0	4	7	30	1	0	0	218	265	347	612	129	250	22	5	269	56	-7	+0	-3	-2	+3	-1.0
2012	29	AAA MLE	2 teams	—	415	364	92	20	1	14	36	81	8	4	3	253	333	429	762	176	285	20	9	330	109	—	—	—	—	—	—
2012	29	AAA RAW	2 teams	—	415	351	99	23	1	15	49	74	8	4	3	282	382	481	864	199	315	18	12	378	109	—	—	—	—	—	—
2013	30	MLB MLE	Baltimore Orioles	—	138	121	31	7	0	4	13	25	4	1	0	256	348	413	761	157	293	18	9	338	115	+2	+0	+0	-1	+3	0.5
2013	30	MLB RAW	Baltimore Orioles	—	138	119	31	7	0	4	15	25	4	1	0	261	362	420	782	160	300	18	11	354	115	+2	+0	+0	-1	+3	0.5
2014	31	MLB MLE	Baltimore Orioles	—	383	339	96	26	0	19	39	76	4	5	0	283	364	528	892	245	314	20	10	392	152	+23	+1	+3	-7	+8	2.9
2014	31	MLB RAW	Baltimore Orioles	—	383	338	99	26	0	21	40	76	4	5	0	293	374	556	931	263	322	20	10	405	152	+23	+1	+3	-7	+8	2.9
2015	32	MLB MLE	Baltimore Orioles	—	325	295	63	13	1	14	22	69	7	1	1	214	284	407	691	193	230	21	7	304	92	-3	-0	-6	-3	+7	-0.6
2015	32	MLB RAW	Baltimore Orioles	—	325	294	64	13	1	15	23	69	7	1	1	218	290	422	712	204	232	21	7	315	92	-3	-0	-6	-3	+7	-0.6
2016	33	MLB MLE	Baltimore Orioles	—	302	266	75	13	1	12	32	54	3	0	3	282	365	474	839	192	313	18	11	369	136	+13	-1	-4	-5	+7	0.9
2016	33	MLB RAW	Baltimore Orioles	—	302	264	76	13	1	13	34	54	3	0	3	288	375	492	868	205	318	18	11	383	136	+13	-1	-4	-5	+7	0.9
2017	34	MLB MLE	2 teams	—	364	329	79	17	1	13	27	72	5	0	0	240	307	416	724	176	267	20	7	319	102	+1	+0	-8	-4	+8	-0.3
2017	34	MLB RAW	2 teams	—	364	328	79	17	1	13	28	71	5	0	0	241	310	418	728	177	267	20	8	322	102	+1	+0	-8	-4	+8	-0.3
2018	35	MLB MLE	2 teams	—	266	227	62	12	1	12	31	42	6	0	0	273	375	493	868	220	286	16	12	386	147	+15	+0	-1	-5	+6	1.5
2018	35	MLB RAW	2 teams	—	266	226	65	14	1	12	32	42	6	0	0	288	390	518	908	230	305	16	12	397	147	+15	+0	-1	-5	+6	1.5
2019	36	MLB MLE	2 teams	—	128	115	18	4	0	1	9	43	3	0	0	157	236	217	454	61	236	34	7	220	35	-10	+0	-2	-2	+3	-1.1
2019	36	MLB RAW	2 teams	—	128	113	20	5	0	1	10	41	3	0	0	177	260	248	508	71	264	32	8	237	35	-10	+0	-2	-2	+3	-1.1
2006	23	A+ MLE	2 teams	—	556	506	112	31	2	22	31	135	14	8	8	221	285	421	706	200	249	24	6	299	88	—	—	—	—	—	—
2007	24	AA MLE	4 teams	—	624	573	171	40	5	26	38	100	8	16	3	298	353	522	875	223	314	16	6	375	140	—	—	—	—	—	—
2008	25	AAA MLE	2 teams	—	552	513	119	30	1	15	26	112	8	12	4	232	283	382	665	150	262	20	5	289	82	—	—	—	—	—	—
2009	26	AAA MLE	2 teams	—	503	448	105	28	2	15	44	98	6	4	7	234	311	406	717	172	263	19	9	317	101	—	—	—	—	—	—
2010	27	AAA MLE	2 teams	—	196	171	46	14	3	3	22	39	1	7	2	269	363	439	802	170	318	20	11	349	122	—	—	—	—	—	—
2011	28	MLB MLE	2 teams	—	135	126	26	4	0	3	7	32	1	0	0	206	258	310	567	103	244	24	5	251	56	—	—	—	—	—	—
2012	29	AAA MLE	2 teams	—	415	368	92	20	1	14	36	81	8	4	3	250	333	424	757	174	282	20	9	330	109	—	—	—	—	—	—
2013	30	MLB MLE	Baltimore Orioles	—	138	120	31	7	0	4	13	25	4	1	0	258	348	417	764	158	300	18	9	338	115	—	—	—	—	—	—
2014	31	MLB MLE	Baltimore Orioles	—	383	337	96	26	0	19	39	76	4	5	0	285	364	531	895	246	322	20	10	392	152	—	—	—	—	—	—
2015	32	MLB MLE	Baltimore Orioles	—	325	293	63	13	1	14	22	69	7	1	1	215	284	410	694	195	232	21	7	304	92	—	—	—	—	—	—
2016	33	MLB MLE	Baltimore Orioles	—	302	264	75	13	1	12	32	54	3	0	3	284	365	477	843	193	318	18	11	369	136	—	—	—	—	—	—
2017	34	MLB MLE	2 teams	—	364	329	79	17	1	13	27	72	5	0	0	240	307	416	724	176	269	20	7	319	102	—	—	—	—	—	—
2018	35	MLB MLE	2 teams	—	266	227	62	12	1	12	31	42	6	0	0	273	375	493	868	220	302	16	12	386	147	—	—	—	—	—	—
2019	36	MLB MLE	2 teams	—	128	115	18	4	0	1	9	43	3	0	0	157	236	217	454	61	259	34	7	220	35	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2555	2256	572	131	8	91	240	509	36	13	7	254	335	440	774	186	287	20	9	342	109	+54	-0	-30	-60	+55	1.9
/ 162G	—	A+C		—	650	574	145	33	2	23	61	129	9	3	2	253	334	437	771	185	286	20	9	342	109	+14	-0	-8	-15	+14	0.5
Career	—	MLE		—	4887	4377	1095	259	18	173	377	978	78	58	31	250	321	436	757	186	282	20	8	330	109	+54	-0	-30	-60	+55	1.9
/ 162G	—	MLE		—	650	582	145	34	2	23	50	130	10	8	4	249	319	433	752	184	280	20	8	330	109	+14	-0	-8	-15	+14	0.5

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.

2019 AAAPawtucket Red Sox · 29 PAwOBA .255 → .206 (−49)K% 34.5% → 41.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.48%	÷1.002	×1.200	—	—	41.30%
BB% (unintentional) /PA	10.34%	÷0.963	×0.690	—	×0.940	6.97%
HBP% /PA	6.90%	—	×0.940	—	×0.940	6.09%
Singles /BIP	21.43%	÷0.953	×0.930	—	×0.940	19.65%
Doubles /BIP	7.14%	÷0.896	×0.830	—	×0.940	6.22%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.038	×0.840	—	×0.940	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 108, 1B 91, 2B 79, 3B 80, K 100, BB 93 — applied at half strength. Age: age 36 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (8.8 yr older than average).

Result: wOBA .255 → .206; ISO .042 → .034; BABIP .286 → .259. 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).

2018 AAABuffalo Bisons · 15 PAwOBA .496 → .415 (−81)K% 6.7% → 8.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.67%	÷0.993	×1.200	—	—	8.06%
BB% (unintentional) /PA	20.00%	÷0.954	×0.690	—	×0.940	13.60%
HBP% /PA	6.67%	—	×0.940	—	×0.940	5.89%
Singles /BIP	30.00%	÷0.970	×0.930	—	×0.940	27.04%
Doubles /BIP	0.00%	÷0.987	×0.830	—	×0.940	0.00%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.940	0.00%
Home runs /BIP	10.00%	÷1.080	×0.840	—	×0.940	7.31%

Factors used: league row IL. Park (home-season share, regressed): HR 116, 1B 94, 2B 97, 3B 130, K 99, BB 91 — applied at half strength. Age: age 35 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (7.8 yr older than average).

Result: wOBA .496 → .415; ISO .273 → .217; BABIP .333 → .292. 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).

2017 AANew Hampshire Fisher Cats · 16 PAwOBA .043 → .029 (−15)K% 18.8% → 22.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.75%	÷1.007	×1.220	—	—	22.73%
BB% (unintentional) /PA	6.25%	÷0.995	×0.700	—	×0.940	4.14%
HBP% /PA	0.00%	—	×0.850	—	×0.940	0.00%
Singles /BIP	0.00%	÷1.024	×0.970	—	×0.940	0.00%
Doubles /BIP	0.00%	÷1.024	×0.860	—	×0.940	0.00%
Triples /BIP	0.00%	÷0.900	×0.950	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.165	×0.780	—	×0.940	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 133, 1B 105, 2B 105, 3B 80, K 101, BB 99 — applied at half strength. Age: age 34 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (9.2 yr older than average).

Result: wOBA .043 → .029; ISO .000 → .000; BABIP .000 → .000. 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 AAAScranton/Wilkes-Barre Yankees · 227 PAwOBA .416 → .348 (−68)K% 14.5% → 17.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.54%	÷0.988	×1.200	—	—	17.65%
BB% (unintentional) /PA	11.01%	÷1.012	×0.690	—	×0.982	7.37%
HBP% /PA	2.20%	—	×0.940	—	×0.982	2.03%
Singles /BIP	22.01%	÷1.006	×0.930	×0.966	×0.982	19.29%
Doubles /BIP	9.43%	÷1.076	×0.830	×0.966	×0.982	6.90%
Triples /BIP	0.00%	÷0.926	×0.970	×0.966	×0.982	0.00%
Home runs /BIP	6.92%	÷0.945	×0.840	—	×0.982	6.04%

Factors used: league row IL. Park (home-season share, regressed): HR 89, 1B 101, 2B 115, 3B 85, K 98, BB 102 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.966.

Result: wOBA .416 → .348; ISO .250 → .216; BABIP .336 → .277. 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 AAAIndianapolis Indians · 30 PAwOBA .371 → .300 (−71)K% 30.0% → 36.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.00%	÷0.995	×1.200	—	—	36.16%
BB% (unintentional) /PA	0.00%	÷0.978	×0.690	—	×0.992	0.00%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	14.29%	÷1.008	×0.930	—	×0.992	13.07%
Doubles /BIP	9.52%	÷0.927	×0.830	—	×0.992	8.46%
Triples /BIP	0.00%	÷0.984	×0.970	—	×0.992	0.00%
Home runs /BIP	14.29%	÷0.955	×0.840	—	×0.992	12.47%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 102, 2B 85, 3B 97, K 99, BB 96 — 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 .371 → .300; ISO .367 → .293; BABIP .278 → .246. 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 AAAIndianapolis Indians · 158 PAwOBA .411 → .347 (−64)K% 17.1% → 21.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.09%	÷0.967	×1.200	—	—	21.21%
BB% (unintentional) /PA	13.29%	÷1.000	×0.690	—	×1.003	9.20%
HBP% /PA	0.63%	—	×0.940	—	×1.003	0.60%
Singles /BIP	22.55%	÷1.067	×0.930	×0.972	×1.003	19.16%
Doubles /BIP	13.73%	÷0.981	×0.830	×0.972	×1.003	11.31%
Triples /BIP	1.96%	÷1.148	×0.970	×0.972	×1.003	1.61%
Home runs /BIP	2.94%	÷1.048	×0.840	—	×1.003	2.36%

Factors used: league row IL. Park (home-season share, regressed): HR 110, 1B 113, 2B 96, 3B 130, K 93, BB 100 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.972.

Result: wOBA .411 → .347; ISO .209 → .183; BABIP .379 → .317. 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 · 317 PAwOBA .376 → .327 (−49)K% 14.5% → 17.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.51%	÷1.000	×1.200	—	—	17.41%
BB% (unintentional) /PA	10.41%	÷1.000	×0.690	—	×1.018	7.31%
HBP% /PA	1.89%	—	×0.940	—	×1.018	1.81%
Singles /BIP	20.26%	÷1.000	×0.930	×0.983	×1.018	18.86%
Doubles /BIP	7.93%	÷1.000	×0.830	×0.983	×1.018	6.59%
Triples /BIP	0.44%	÷1.000	×0.970	×0.983	×1.018	0.43%
Home runs /BIP	5.73%	÷1.000	×0.840	—	×1.018	4.90%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 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 ×0.983.

Result: wOBA .376 → .327; ISO .216 → .189; BABIP .300 → .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).

2008 AAAIndianapolis Indians · 433 PAwOBA .314 → .282 (−31)K% 17.3% → 20.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.32%	÷1.000	×1.200	—	—	20.79%
BB% (unintentional) /PA	6.93%	÷1.000	×0.690	—	×1.033	4.94%
HBP% /PA	1.15%	—	×0.940	—	×1.033	1.12%
Singles /BIP	18.65%	÷1.000	×0.930	×1.009	×1.033	18.08%
Doubles /BIP	8.36%	÷1.000	×0.830	×1.009	×1.033	7.23%
Triples /BIP	0.32%	÷1.000	×0.970	×1.009	×1.033	0.33%
Home runs /BIP	3.86%	÷1.000	×0.840	—	×1.033	3.35%

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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.009.

Result: wOBA .314 → .282; ISO .166 → .147; BABIP .279 → .260. 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).