Josh Reddick

PosRF

B/TL/R

Born1987-02-19

Age (2027)40

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2020	33	MLBHOU	210	.245/.316/.378	4	1	94	-0.4
2021	34	AAA/INTL2 orgs	111	.242/.318/.394	4	0	51	—	.183/.247/.280
2021	34	MLBARI	158	.258/.287/.371	2	0	77	-0.8
2022	35	INTLPerth Heat	170	.238/.327/.441	7	0	110	—
2023	36	No MLB games played
2024	37	No MLB games played
2025	38	No MLB games played
2026	39	No MLB games played

Last 3 seasons WAR -1.2

Contract

No contract data on file.

Skills · percentileStatcast 2019-2021

xwOBA50

Speed26

Barrel%14

Avg EV10

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	20	A	Greenville Drive	—	403	369	113	17	6	18	26	51	3	8	5	306	357	531	888	225	311	13	6	383	101	—	—	—	—	—	—
2008	21	AA	Portland Sea Dogs	—	132	117	25	4	2	6	12	25	1	3	1	214	292	436	728	222	218	19	9	316	67	—	—	—	—	—	—
2008	21	A+	Lancaster JetHawks	—	331	312	107	11	8	17	17	49	0	9	1	343	377	593	970	250	363	15	5	419	117	—	—	—	—	—	—
2008	21	A	Greenville Drive	—	58	53	18	4	2	0	5	8	0	2	1	340	397	491	887	151	400	14	9	392	107	—	—	—	—	—	—
2009	22	MLB	Boston Red Sox	—	62	59	10	4	0	2	2	17	1	0	0	169	210	339	549	169	200	27	3	243	50	-4	+0	-0	-5	+1	-0.7
2009	22	AAA	Pawtucket Red Sox	—	79	71	9	0	2	0	6	13	0	0	1	127	195	183	378	56	150	16	8	174	-9	—	—	—	—	—	—
2009	22	AA	Portland Sea Dogs	—	287	256	71	17	3	13	30	62	0	5	5	277	353	520	873	242	319	22	10	380	97	—	—	—	—	—	—
2010	23	MLB	Boston Red Sox	—	63	62	12	3	1	1	1	15	0	1	0	194	206	323	529	129	239	24	2	231	40	-5	+0	+4	-7	+1	-0.6
2010	23	AAA	Pawtucket Red Sox	—	481	451	120	28	4	18	25	73	0	4	7	266	305	466	770	200	279	15	5	334	82	—	—	—	—	—	—
2010	23	INTL	Gigantes del Cibao	—	76	66	12	1	1	1	10	14	0	2	0	182	289	273	562	91	216	18	13	264	65	—	—	—	—	—	—
2011	24	MLB	Boston Red Sox	—	278	254	71	18	3	7	19	50	1	1	2	280	332	457	789	177	318	18	7	343	111	+4	-1	+6	-5	+6	1.0
2011	24	AAA	Pawtucket Red Sox	—	231	191	44	9	1	14	33	39	0	4	1	230	344	508	852	277	207	17	14	361	104	—	—	—	—	—	—
2012	25	MLB	Oakland Athletics	—	673	611	148	29	5	32	55	151	2	11	1	242	307	463	770	221	269	22	8	336	114	+11	+2	+3	-7	+15	2.4
2013	26	MLB	Oakland Athletics	—	441	385	87	19	2	12	46	86	2	9	2	226	312	379	691	153	255	20	10	306	95	-2	+1	+7	-5	+10	1.0
2014	27	MLB	Oakland Athletics	—	396	363	96	16	7	12	28	63	1	1	1	264	318	446	764	182	289	16	7	334	116	+8	-0	-3	-5	+9	0.8
2014	27	AAA	Sacramento River Cats	—	17	16	7	3	0	0	1	1	0	1	1	438	471	625	1.096	188	467	6	6	481	166	—	—	—	—	—	—
2014	27	A+	Stockton Ports	—	22	21	9	2	0	3	1	6	0	0	0	429	455	952	1.407	524	500	27	5	597	165	—	—	—	—	—	—
2015	28	MLB	Oakland Athletics	—	582	526	143	25	4	20	49	65	0	10	2	272	332	449	780	177	278	11	8	343	121	+15	+1	-8	-6	+13	1.5
2016	29	MLB	Los Angeles Dodgers	—	439	398	112	17	1	10	39	56	0	8	3	281	345	405	749	123	306	13	9	336	112	+6	+0	-0	-5	+10	1.1
2016	29	AAA	Nashville Sounds	—	26	25	3	1	0	1	1	6	0	0	0	120	154	280	434	160	111	23	4	191	-13	—	—	—	—	—	—
2017	30	MLB	Houston Astros	—	540	477	150	34	4	13	43	72	0	7	3	314	366	484	851	170	339	13	8	364	129	+19	+0	-0	-6	+12	2.5
2018	31	MLB	Houston Astros	—	487	433	105	13	2	17	49	77	0	7	2	242	318	400	718	157	258	16	10	319	99	-1	+1	+5	-5	+11	1.0
2019	32	MLB	Houston Astros	—	550	501	138	19	3	14	36	66	0	5	2	275	322	409	731	134	288	12	7	320	100	+0	+0	-4	-6	+12	0.2
2020	33	MLB	Houston Astros	—	210	188	46	11	1	4	20	42	0	1	0	245	316	378	693	133	294	20	10	310	94	-2	+0	-5	-2	+5	-0.4
2021	34	MLB	Arizona Diamondbacks	—	158	151	39	11	0	2	6	31	0	0	0	258	287	371	657	113	311	20	4	291	77	-4	+0	-4	-3	+3	-0.8
2021	34	AAA	Syracuse Mets	—	90	79	20	3	0	3	9	20	1	0	0	253	337	405	742	152	298	22	10	331	48	—	—	—	—	—	—
2021	34	INTL	Toros del Este	—	21	20	4	0	0	1	1	1	0	0	0	200	238	350	588	150	167	5	5	262	63	—	—	—	—	—	—
2022	35	INTL	Perth Heat	—	170	143	34	8	0	7	16	15	4	0	1	238	327	441	768	203	214	9	9	330	110	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	4879	4408	1157	219	33	146	393	791	7	61	18	262	323	426	749	164	287	16	8	329	109	+51	+5	+0	-67	+106	9.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	20	A MLE	Greenville Drive	—	403	379	98	14	5	15	16	69	3	8	5	259	294	441	735	182	273	17	4	317	101	—	—	—	—	—	—
2008	21	AA MLE	Portland Sea Dogs	—	132	121	23	3	2	5	8	30	1	3	1	190	246	372	618	182	205	23	6	267	67	—	—	—	—	—	—
2008	21	A+ MLE	Lancaster JetHawks	—	331	317	90	8	6	15	12	66	0	9	1	284	310	489	799	205	312	20	4	341	117	—	—	—	—	—	—
2008	21	A MLE	Greenville Drive	—	58	55	16	3	2	0	3	11	0	2	1	291	328	418	746	127	365	19	5	326	107	—	—	—	—	—	—
2009	22	MLB MLE	Boston Red Sox	—	62	59	10	4	0	2	2	17	1	0	0	169	210	339	549	169	200	27	3	243	50	-4	+0	-0	-5	+1	-0.7
2009	22	AAA MLE	Pawtucket Red Sox	—	79	73	9	0	2	0	4	16	0	0	1	123	169	178	347	55	141	20	5	155	-9	—	—	—	—	—	—
2009	22	AA MLE	Portland Sea Dogs	—	287	266	63	14	3	10	20	76	0	5	5	237	290	425	715	188	292	26	7	312	97	—	—	—	—	—	—
2010	23	MLB MLE	Boston Red Sox	—	63	62	12	3	1	1	1	15	0	1	0	194	206	323	529	129	239	24	2	227	40	-5	+0	+4	-7	+1	-0.6
2010	23	AAA MLE	Pawtucket Red Sox	—	481	459	109	23	4	18	17	88	0	4	7	237	265	423	687	185	250	18	4	290	82	—	—	—	—	—	—
2011	24	MLB MLE	Boston Red Sox	—	278	255	68	16	3	7	18	50	1	1	2	267	318	435	753	169	318	18	6	333	111	+4	-1	+6	-5	+6	1.0
2011	24	AAA MLE	Pawtucket Red Sox	—	231	200	41	8	1	13	24	48	0	4	1	205	290	450	740	245	186	21	10	322	104	—	—	—	—	—	—
2012	25	MLB MLE	Oakland Athletics	—	673	619	150	28	5	35	47	151	2	11	1	242	298	473	771	231	269	22	7	336	114	+11	+2	+3	-7	+15	2.4
2013	26	MLB MLE	Oakland Athletics	—	441	386	87	18	2	13	45	86	2	9	2	225	309	383	693	158	255	20	10	309	95	-2	+1	+7	-5	+10	1.0
2014	27	MLB MLE	Oakland Athletics	—	396	364	96	15	7	13	28	63	1	1	1	264	318	451	769	187	289	16	7	340	116	+8	-0	-3	-5	+9	0.8
2014	27	AAA MLE	Sacramento River Cats	—	17	16	7	3	0	0	1	1	0	1	1	438	471	625	1.096	188	422	6	6	413	166	—	—	—	—	—	—
2014	27	A+ MLE	Stockton Ports	—	22	21	6	1	0	2	1	8	0	0	0	286	318	619	937	333	398	36	5	412	165	—	—	—	—	—	—
2015	28	MLB MLE	Oakland Athletics	—	582	531	144	24	4	22	48	65	0	10	2	271	332	456	787	185	278	11	8	348	121	+15	+1	-8	-6	+13	1.5
2016	29	MLB MLE	Los Angeles Dodgers	—	439	404	114	18	1	10	34	56	0	8	3	282	338	406	744	124	306	13	8	334	112	+6	+0	-0	-5	+10	1.1
2016	29	AAA MLE	Nashville Sounds	—	26	25	3	1	0	1	1	8	0	0	0	120	154	280	434	160	96	31	4	149	-13	—	—	—	—	—	—
2017	30	MLB MLE	Houston Astros	—	540	485	148	32	4	13	42	72	0	7	3	305	361	468	829	163	339	13	8	359	129	+19	+0	-0	-6	+12	2.5
2018	31	MLB MLE	Houston Astros	—	487	438	104	12	2	17	46	77	0	7	2	237	310	390	700	153	258	16	9	314	99	-1	+1	+5	-5	+11	1.0
2019	32	MLB MLE	Houston Astros	—	550	505	136	18	3	14	35	66	0	5	2	269	317	400	717	131	288	12	6	316	100	+0	+0	-4	-6	+12	0.2
2020	33	MLB MLE	Houston Astros	—	210	189	45	10	1	4	20	42	0	1	0	238	311	365	676	127	294	20	10	307	94	-2	+0	-5	-2	+5	-0.4
2021	34	MLB MLE	Arizona Diamondbacks	—	158	151	38	10	0	2	6	31	0	0	0	252	280	358	638	106	311	20	4	282	77	-4	+0	-4	-3	+3	-0.8
2021	34	AAA MLE	Syracuse Mets	—	90	82	15	2	0	2	6	25	1	0	0	183	247	280	528	98	236	28	7	239	48	—	—	—	—	—	—
2007	20	A MLE	Greenville Drive	—	403	379	98	14	5	15	16	69	3	8	5	259	294	441	735	182	277	17	4	317	101	—	—	—	—	—	—
2007	20	A RAW	Greenville Drive	—	403	369	113	17	6	18	26	51	3	8	5	306	357	531	888	225	311	13	6	383	101	—	—	—	—	—	—
2008	21	A+ MLE	3 teams	—	521	492	128	15	9	20	24	107	1	14	3	260	296	449	745	189	293	21	5	321	103	—	—	—	—	—	—
2008	21	A+ RAW	3 teams	—	521	482	150	19	12	23	34	82	1	14	3	311	358	544	901	232	334	16	7	390	103	—	—	—	—	—	—
2009	22	AA MLE	3 teams	—	428	398	82	18	5	12	26	108	1	5	6	206	256	367	623	161	249	25	6	273	71	—	—	—	—	—	—
2009	22	AA RAW	3 teams	—	428	386	90	21	5	15	38	92	1	5	6	233	304	430	734	197	266	21	9	322	71	—	—	—	—	—	—
2010	23	AAA MLE	3 teams	—	620	595	137	29	6	21	20	117	0	7	7	230	255	405	660	175	251	19	3	283	77	—	—	—	—	—	—
2010	23	AAA RAW	3 teams	—	620	579	144	32	6	20	36	102	0	7	7	249	293	428	721	180	268	16	6	315	77	—	—	—	—	—	—
2011	24	MLB MLE	2 teams	—	509	455	111	24	4	21	42	98	1	5	3	244	309	453	762	209	259	19	8	328	108	+5	-0	+6	-5	+11	1.6
2011	24	MLB RAW	2 teams	—	509	445	115	27	4	21	52	89	1	5	3	258	337	479	816	220	272	17	10	351	108	+5	-0	+6	-5	+11	1.6
2012	25	MLB MLE	Oakland Athletics	—	673	619	150	28	5	35	47	151	2	11	1	242	298	473	771	231	263	22	7	336	114	+11	+2	+3	-7	+15	2.4
2012	25	MLB RAW	Oakland Athletics	—	673	611	148	29	5	32	55	151	2	11	1	242	307	463	770	221	269	22	8	336	114	+11	+2	+3	-7	+15	2.4
2013	26	MLB MLE	Oakland Athletics	—	441	386	87	18	2	13	45	86	2	9	2	225	309	383	693	158	252	20	10	309	95	-2	+1	+7	-5	+10	1.0
2013	26	MLB RAW	Oakland Athletics	—	441	385	87	19	2	12	46	86	2	9	2	226	312	379	691	153	255	20	10	306	95	-2	+1	+7	-5	+10	1.0
2014	27	MLB MLE	3 teams	—	435	402	109	19	7	15	29	72	1	2	2	271	322	465	787	194	296	17	7	346	121	+11	-0	-3	-5	+9	1.2
2014	27	MLB RAW	3 teams	—	435	400	112	21	7	15	30	70	1	2	2	280	331	480	811	200	305	16	7	353	121	+11	-0	-3	-5	+9	1.2
2015	28	MLB MLE	Oakland Athletics	—	582	531	144	24	4	22	48	65	0	10	2	271	332	456	787	185	274	11	8	348	121	+15	+1	-8	-6	+13	1.5
2015	28	MLB RAW	Oakland Athletics	—	582	526	143	25	4	20	49	65	0	10	2	272	332	449	780	177	278	11	8	343	121	+15	+1	-8	-6	+13	1.5
2016	29	MLB MLE	2 teams	—	465	429	116	19	1	10	35	64	0	8	3	270	325	389	715	119	298	14	8	323	105	+3	+0	-0	-5	+10	0.8
2016	29	MLB RAW	2 teams	—	465	423	115	18	1	11	40	62	0	8	3	272	334	397	731	125	296	13	9	328	105	+3	+0	-0	-5	+10	0.8
2017	30	MLB MLE	Houston Astros	—	540	485	148	32	4	13	42	72	0	7	3	305	361	468	829	163	328	13	8	359	129	+19	+0	-0	-6	+12	2.5
2017	30	MLB RAW	Houston Astros	—	540	477	150	34	4	13	43	72	0	7	3	314	366	484	851	170	339	13	8	364	129	+19	+0	-0	-6	+12	2.5
2018	31	MLB MLE	Houston Astros	—	487	438	104	12	2	17	46	77	0	7	2	237	310	390	700	153	251	16	9	314	99	-1	+1	+5	-5	+11	1.0
2018	31	MLB RAW	Houston Astros	—	487	433	105	13	2	17	49	77	0	7	2	242	318	400	718	157	258	16	10	319	99	-1	+1	+5	-5	+11	1.0
2019	32	MLB MLE	Houston Astros	—	550	505	136	18	3	14	35	66	0	5	2	269	317	400	717	131	281	12	6	316	100	+0	+0	-4	-6	+12	0.2
2019	32	MLB RAW	Houston Astros	—	550	501	138	19	3	14	36	66	0	5	2	275	322	409	731	134	288	12	7	320	100	+0	+0	-4	-6	+12	0.2
2020	33	MLB MLE	Houston Astros	—	210	189	45	10	1	4	20	42	0	1	0	238	311	365	676	127	285	20	10	307	94	-2	+0	-5	-2	+5	-0.4
2020	33	MLB RAW	Houston Astros	—	210	188	46	11	1	4	20	42	0	1	0	245	316	378	693	133	294	20	10	310	94	-2	+0	-5	-2	+5	-0.4
2021	34	MLB MLE	3 teams	—	269	253	57	13	0	4	13	61	1	0	0	225	266	324	590	99	279	23	5	266	66	-11	+0	-4	-3	+6	-1.2
2021	34	MLB RAW	3 teams	—	269	250	63	14	0	6	16	52	1	0	0	252	300	380	680	128	294	19	6	302	66	-11	+0	-4	-3	+6	-1.2
2022	35	INTL MLE	Perth Heat	—	170	143	34	8	0	7	16	15	4	0	1	238	327	441	768	203	214	9	9	—	—	—	—	—	—	—	—
2022	35	INTL RAW	Perth Heat	—	170	143	34	8	0	7	16	15	4	0	1	238	327	441	768	203	214	9	9	330	110	—	—	—	—	—	—
2007	20	A MLE	Greenville Drive	—	403	381	98	14	5	15	16	69	3	8	5	257	294	438	732	181	273	17	4	317	101	—	—	—	—	—	—
2008	21	A+ MLE	3 teams	—	521	491	128	15	9	20	24	107	1	14	3	261	296	450	746	189	291	21	5	321	103	—	—	—	—	—	—
2009	22	AA MLE	3 teams	—	428	398	82	18	5	12	26	108	1	5	6	206	256	367	623	161	251	25	6	273	71	—	—	—	—	—	—
2010	23	AAA MLE	3 teams	—	620	595	137	29	6	21	20	117	0	7	7	230	255	405	660	175	249	19	3	283	77	—	—	—	—	—	—
2011	24	MLB MLE	2 teams	—	509	461	111	24	4	21	42	98	1	5	3	241	309	447	756	206	258	19	8	328	108	—	—	—	—	—	—
2012	25	MLB MLE	Oakland Athletics	—	673	619	150	28	5	35	47	151	2	11	1	242	298	473	771	231	269	22	7	336	114	—	—	—	—	—	—
2013	26	MLB MLE	Oakland Athletics	—	441	391	87	18	2	13	45	86	2	9	2	223	309	379	688	156	255	20	10	309	95	—	—	—	—	—	—
2014	27	MLB MLE	3 teams	—	435	402	109	19	7	15	29	72	1	2	2	271	322	465	787	194	299	17	7	346	121	—	—	—	—	—	—
2015	28	MLB MLE	Oakland Athletics	—	582	529	144	24	4	22	48	65	0	10	2	272	332	457	789	185	278	11	8	348	121	—	—	—	—	—	—
2016	29	MLB MLE	2 teams	—	465	427	116	19	1	10	35	64	0	8	3	272	325	391	717	119	295	14	8	323	105	—	—	—	—	—	—
2017	30	MLB MLE	Houston Astros	—	540	493	148	32	4	13	42	72	0	7	3	300	361	460	821	160	339	13	8	359	129	—	—	—	—	—	—
2018	31	MLB MLE	Houston Astros	—	487	438	104	12	2	17	46	77	0	7	2	237	310	390	700	153	258	16	9	314	99	—	—	—	—	—	—
2019	32	MLB MLE	Houston Astros	—	550	510	136	18	3	14	35	66	0	5	2	267	317	396	713	129	288	12	6	316	100	—	—	—	—	—	—
2020	33	MLB MLE	Houston Astros	—	210	188	45	10	1	4	20	42	0	1	0	239	311	367	678	128	294	20	10	307	94	—	—	—	—	—	—
2021	34	MLB MLE	3 teams	—	269	253	57	13	0	4	13	61	1	0	0	225	266	324	590	99	284	23	5	266	66	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4879	4408	1157	219	33	146	393	791	7	61	18	262	323	426	749	164	287	16	8	329	97	+51	+5	+0	-67	+106	9.7
/ 162G	—	A+C		—	650	587	153	29	4	19	52	105	1	8	2	261	320	421	741	160	286	16	8	329	97	+7	+1	+0	-9	+14	1.3
Career	—	MLE		—	7303	6699	1686	301	58	243	504	1270	16	99	42	252	305	423	728	171	274	17	7	312	97	+51	+5	+0	-67	+106	9.7
/ 162G	—	MLE		—	650	596	150	27	5	22	45	113	1	9	4	252	305	424	730	173	274	17	7	312	97	+7	+1	+0	-9	+14	1.3

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.

2021 AAASyracuse Mets · 90 PAwOBA .326 → .239 (−87)K% 22.2% → 27.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷0.966	×1.200	—	—	27.61%
BB% (unintentional) /PA	10.00%	÷1.006	×0.690	—	×0.940	6.44%
HBP% /PA	1.11%	—	×0.940	—	×0.940	0.98%
Singles /BIP	23.73%	÷1.032	×0.930	×0.950	×0.940	19.09%
Doubles /BIP	5.08%	÷0.897	×0.830	×0.950	×0.940	4.20%
Triples /BIP	0.00%	÷0.986	×0.920	×0.950	×0.940	0.00%
Home runs /BIP	5.08%	÷1.039	×0.700	—	×0.940	3.22%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 106, 2B 79, 3B 97, K 93, BB 101 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .326 → .239; ISO .152 → .103; BABIP .298 → .236. 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).

2016 AAANashville Sounds · 26 PAwOBA .185 → .149 (−37)K% 23.1% → 29.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.08%	÷1.004	×1.290	—	—	29.64%
BB% (unintentional) /PA	3.85%	÷0.979	×0.710	—	×0.982	2.74%
HBP% /PA	0.00%	—	×0.980	—	×0.982	0.00%
Singles /BIP	5.26%	÷1.035	×0.900	—	×0.982	4.50%
Doubles /BIP	5.26%	÷0.898	×0.810	—	×0.982	4.66%
Triples /BIP	0.00%	÷1.015	×0.810	—	×0.982	0.00%
Home runs /BIP	5.26%	÷0.856	×0.780	—	×0.982	4.71%

Factors used: league row PCL. Park (home-season share, regressed): HR 71, 1B 107, 2B 80, 3B 103, K 101, BB 96 — 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 .185 → .149; ISO .160 → .132; BABIP .111 → .096. 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).

2014 A+Stockton Ports · 22 PAwOBA .578 → .412 (−166)K% 27.3% → 36.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.27%	÷0.997	×1.340	—	—	36.66%
BB% (unintentional) /PA	4.55%	÷1.020	×0.710	—	×0.958	3.03%
HBP% /PA	0.00%	—	×0.790	—	×0.958	0.00%
Singles /BIP	26.67%	÷0.992	×0.910	—	×0.958	23.43%
Doubles /BIP	13.33%	÷1.044	×0.820	—	×0.958	10.03%
Triples /BIP	0.00%	÷1.011	×0.760	—	×0.958	0.00%
Home runs /BIP	20.00%	÷1.112	×0.920	—	×0.958	15.86%

Factors used: league row CAL. Park (home-season share, regressed): HR 122, 1B 98, 2B 109, 3B 102, K 99, BB 104 — applied at half strength. Age: age 27 vs a level average of 22.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average).

Result: wOBA .578 → .412; ISO .524 → .364; BABIP .500 → .398. 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).

2014 AAASacramento River Cats · 17 PAwOBA .467 → .413 (−54)K% 5.9% → 7.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	5.88%	÷0.998	×1.290	—	—	7.61%
BB% (unintentional) /PA	5.88%	÷0.953	×0.710	—	×1.003	4.40%
HBP% /PA	0.00%	—	×0.980	—	×1.003	0.00%
Singles /BIP	26.67%	÷0.975	×0.900	—	×1.003	24.70%
Doubles /BIP	20.00%	÷0.929	×0.810	—	×1.003	17.49%
Triples /BIP	0.00%	÷1.072	×0.810	—	×1.003	0.00%
Home runs /BIP	0.00%	÷1.092	×0.780	—	×1.003	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 118, 1B 95, 2B 86, 3B 114, K 100, BB 91 — 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).

Result: wOBA .467 → .413; ISO .188 → .163; BABIP .467 → .422. 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 AAAPawtucket Red Sox · 231 PAwOBA .363 → .322 (−40)K% 16.9% → 20.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.88%	÷0.971	×1.200	—	—	20.87%
BB% (unintentional) /PA	14.29%	÷0.988	×0.690	—	×1.048	10.45%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	13.16%	÷1.025	×0.930	×0.970	×1.048	12.15%
Doubles /BIP	5.92%	÷1.007	×0.830	×0.970	×1.048	4.96%
Triples /BIP	0.66%	÷0.900	×0.970	×0.970	×1.048	0.72%
Home runs /BIP	9.21%	÷0.955	×0.840	—	×1.048	8.49%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 105, 2B 101, 3B 80, K 94, BB 98 — 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 ×0.970.

Result: wOBA .363 → .322; ISO .277 → .265; BABIP .207 → .186. 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 AAAPawtucket Red Sox · 481 PAwOBA .327 → .290 (−37)K% 15.2% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.18%	÷0.994	×1.200	—	—	18.31%
BB% (unintentional) /PA	4.99%	÷1.037	×0.690	—	×1.050	3.49%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	18.52%	÷1.016	×0.930	×0.955	×1.050	17.00%
Doubles /BIP	7.41%	÷1.030	×0.830	×0.955	×1.050	5.98%
Triples /BIP	1.06%	÷0.900	×0.970	×0.955	×1.050	1.14%
Home runs /BIP	4.76%	÷0.898	×0.840	—	×1.050	4.68%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 103, 2B 106, 3B 80, K 99, BB 107 — 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 ×0.955.

Result: wOBA .327 → .290; ISO .200 → .186; BABIP .279 → .250. 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 AAPortland Sea Dogs · 287 PAwOBA .367 → .312 (−55)K% 21.6% → 26.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.60%	÷1.000	×1.220	—	—	26.36%
BB% (unintentional) /PA	9.41%	÷1.000	×0.700	—	×1.042	6.86%
HBP% /PA	0.00%	—	×0.850	—	×1.042	0.00%
Singles /BIP	19.59%	÷1.000	×0.970	×0.950	×1.042	18.81%
Doubles /BIP	8.76%	÷1.000	×0.860	×0.950	×1.042	7.46%
Triples /BIP	1.55%	÷1.000	×0.950	×0.950	×1.042	1.45%
Home runs /BIP	6.70%	÷1.000	×0.780	—	×1.042	5.45%

Factors used: league row EL. 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 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .367 → .312; ISO .242 → .200; BABIP .319 → .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).

2009 AAAPawtucket Red Sox · 79 PAwOBA .175 → .155 (−20)K% 16.5% → 19.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.46%	÷1.000	×1.200	—	—	19.75%
BB% (unintentional) /PA	7.59%	÷1.000	×0.690	—	×1.050	5.50%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	12.07%	÷1.000	×0.930	×0.950	×1.050	11.20%
Doubles /BIP	0.00%	÷1.000	×0.830	×0.950	×1.050	0.00%
Triples /BIP	3.45%	÷1.000	×0.970	×0.950	×1.050	3.34%
Home runs /BIP	0.00%	÷1.000	×0.840	—	×1.050	0.00%

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 ×0.950.

Result: wOBA .175 → .155; ISO .056 → .056; BABIP .150 → .141. 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 — .