Josh Donaldson

Pos3B

B/TR/R

Born1985-12-08

Age (2027)41

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	35	MLBMIN	543	.247/.357/.475	26	0	130	3.6
2022	36	MLBNYY	546	.222/.311/.374	15	2	91	1.4
2023	37	AAAMIL	35	.231/.429/.615	3	0	112	—	.172/.314/.414
2023	37	MLBMIL	189	.152/.251/.418	13	0	81	0.2
2024	38	No MLB games played
2025	39	No MLB games played
2026	40	No MLB games played

Last 3 seasons WAR 5.1

Contract

No contract data on file.

Skills · percentileStatcast 2021-2023

Avg EV90

Barrel%89

xwOBA78

Bat Spd68

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)
2008	22	A+	Stockton Ports	—	207	188	62	13	2	9	17	29	2	0	2	330	391	564	955	234	353	14	8	417	114	—	—	—	—	—	—
2008	22	A	Peoria Chiefs	—	254	235	51	13	0	6	17	41	2	7	1	217	276	349	625	132	239	16	7	281	31	—	—	—	—	—	—
2009	23	AA	Midland RockHounds	—	541	455	123	37	1	9	80	92	1	7	2	270	381	415	796	145	320	17	15	357	87	—	—	—	—	—	—
2010	24	MLB	Oakland Athletics	—	34	32	5	1	0	1	2	12	0	0	0	156	206	281	487	125	211	35	6	220	38	-2	+0	-1	+7	+1	0.4
2010	24	AAA	Sacramento River Cats	—	348	294	70	14	1	18	45	79	2	3	1	238	343	476	819	238	255	23	13	355	88	—	—	—	—	—	—
2011	25	AAA	Sacramento River Cats	—	503	444	116	28	0	17	51	100	6	13	4	261	345	439	784	178	301	20	10	349	78	—	—	—	—	—	—
2011	25	INTL	Leones del Escogido	—	66	63	18	2	0	2	3	21	0	1	0	286	318	413	731	127	400	32	5	326	107	—	—	—	—	—	—
2012	26	MLB	Oakland Athletics	—	294	274	66	16	0	9	14	61	5	4	1	241	290	398	688	157	278	21	5	306	96	-1	+0	+4	+2	+6	1.1
2012	26	AAA	Sacramento River Cats	—	234	209	70	12	2	13	23	34	1	5	2	335	403	598	1.002	263	350	15	10	433	132	—	—	—	—	—	—
2013	27	MLB	Oakland Athletics	—	668	579	174	37	3	24	76	110	6	5	2	301	387	499	886	199	333	16	11	388	151	+41	+0	+9	+2	+14	6.9
2014	28	MLB	Oakland Athletics	—	695	608	155	31	2	29	76	130	7	8	0	255	344	456	800	201	278	19	11	354	127	+22	+2	+10	+2	+15	5.3
2015	29	MLB	Toronto Blue Jays	—	711	620	184	41	2	41	73	133	6	6	0	297	376	568	944	271	314	19	10	404	159	+50	+1	+11	+3	+15	8.1
2016	30	MLB	Toronto Blue Jays	—	700	577	164	32	5	37	109	119	9	7	1	284	406	549	955	265	300	17	16	415	162	+52	+1	-2	+2	+15	7.0
2017	31	MLB	Toronto Blue Jays	—	496	415	112	21	0	33	76	111	3	2	2	270	387	559	946	289	289	22	15	410	162	+37	-0	+2	+2	+11	5.2
2018	32	MLB	Cleveland Indians	—	219	187	46	14	0	8	31	54	0	2	0	246	353	449	802	203	302	25	14	356	122	+6	+0	-1	+1	+5	1.1
2019	33	MLB	Atlanta Braves	—	659	549	142	33	0	37	100	155	8	4	2	259	381	521	901	262	292	24	15	395	152	+41	+0	+7	+2	+14	6.6
2020	34	MLB	Minnesota Twins	—	102	81	18	2	0	6	18	24	2	0	0	222	376	469	845	247	231	24	18	374	134	+4	+0	+1	+0	+2	0.8
2021	35	MLB	Minnesota Twins	—	543	457	113	26	0	26	74	114	4	0	0	247	357	475	832	228	268	21	14	363	130	+19	+0	+2	+2	+12	3.6
2022	36	MLB	New York Yankees	—	546	478	106	28	0	15	54	148	8	2	2	222	311	374	686	153	283	27	10	307	91	-6	-0	+6	+2	+12	1.4
2023	37	MLB	Milwaukee Brewers	—	189	165	25	5	0	13	22	50	0	0	0	152	251	418	670	267	115	26	12	292	81	-4	+0	+1	+1	+4	0.2
2023	37	AAA	Nashville Sounds	—	35	26	6	1	0	3	9	6	0	0	0	231	429	615	1.044	385	176	17	26	446	112	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	5856	5022	1310	287	12	279	725	1221	58	40	10	261	361	489	850	229	289	21	12	372	138	+265	+4	+49	+29	+127	48.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	22	A+ MLE	Stockton Ports	—	207	193	52	10	1	8	12	39	2	0	2	269	319	456	775	187	306	19	6	337	114	—	—	—	—	—	—
2008	22	A MLE	Peoria Chiefs	—	254	241	42	10	0	5	11	56	2	7	1	174	217	278	495	104	205	22	4	214	31	—	—	—	—	—	—
2009	23	AA MLE	Midland RockHounds	—	541	480	113	32	1	7	55	112	1	7	2	235	315	350	665	115	289	21	10	297	87	—	—	—	—	—	—
2010	24	MLB MLE	Oakland Athletics	—	34	32	5	1	0	1	2	12	0	0	0	156	206	281	487	125	211	35	6	225	38	-2	+0	-1	+7	+1	0.4
2010	24	AAA MLE	Sacramento River Cats	—	348	309	64	13	1	15	30	98	2	3	1	207	282	401	683	194	233	28	9	299	88	—	—	—	—	—	—
2011	25	AAA MLE	Sacramento River Cats	—	503	459	100	24	0	14	36	126	6	13	4	218	283	362	645	144	268	25	7	284	78	—	—	—	—	—	—
2012	26	MLB MLE	Oakland Athletics	—	294	274	66	15	0	10	14	61	5	4	1	241	290	405	695	164	278	21	5	310	96	-1	+0	+4	+2	+6	1.1
2012	26	AAA MLE	Sacramento River Cats	—	234	217	64	9	2	11	15	42	1	5	2	295	343	507	850	212	320	18	6	363	132	—	—	—	—	—	—
2013	27	MLB MLE	Oakland Athletics	—	668	581	176	36	3	26	74	110	6	5	2	303	387	509	897	207	333	16	11	392	151	+41	+0	+9	+2	+14	6.9
2014	28	MLB MLE	Oakland Athletics	—	695	613	157	30	2	32	71	130	7	8	0	256	340	468	808	212	278	19	10	356	127	+22	+2	+10	+2	+15	5.3
2015	29	MLB MLE	Toronto Blue Jays	—	711	620	184	41	2	41	73	133	6	6	0	297	376	568	944	271	314	19	10	403	159	+50	+1	+11	+3	+15	8.1
2016	30	MLB MLE	Toronto Blue Jays	—	700	583	164	32	5	37	103	119	9	7	1	281	397	544	941	262	300	17	15	408	162	+52	+1	-2	+2	+15	7.0
2017	31	MLB MLE	Toronto Blue Jays	—	496	416	112	21	0	33	75	111	3	2	2	269	385	558	942	288	289	22	15	408	162	+37	-0	+2	+2	+11	5.2
2018	32	MLB MLE	Cleveland Indians	—	219	189	46	14	0	8	29	54	0	2	0	243	344	444	788	201	302	25	13	348	122	+6	+0	-1	+1	+5	1.1
2019	33	MLB MLE	Atlanta Braves	—	659	551	142	33	0	37	98	155	8	4	2	258	377	519	897	261	292	24	15	393	152	+41	+0	+7	+2	+14	6.6
2020	34	MLB MLE	Minnesota Twins	—	102	82	18	2	0	6	17	24	2	0	0	220	366	463	830	244	231	24	17	366	134	+4	+0	+1	+0	+2	0.8
2021	35	MLB MLE	Minnesota Twins	—	543	459	113	26	0	26	72	114	4	0	0	246	353	473	826	227	268	21	13	360	130	+19	+0	+2	+2	+12	3.6
2022	36	MLB MLE	New York Yankees	—	546	479	105	28	0	14	53	148	8	2	2	219	307	365	673	146	283	27	10	303	91	-6	-0	+6	+2	+12	1.4
2023	37	MLB MLE	Milwaukee Brewers	—	189	165	24	5	0	12	22	50	0	0	0	145	246	394	640	248	115	26	12	288	81	-4	+0	+1	+1	+4	0.2
2023	37	AAA MLE	Nashville Sounds	—	35	29	5	1	0	2	6	7	0	0	0	172	314	414	728	241	148	20	17	333	112	—	—	—	—	—	—
2008	22	A MLE	2 teams	—	461	434	94	20	1	13	23	95	4	7	3	217	262	357	620	141	248	21	5	269	68	—	—	—	—	—	—
2008	22	A RAW	2 teams	—	461	423	113	26	2	15	34	70	4	7	3	267	328	444	772	177	290	15	7	342	68	—	—	—	—	—	—
2009	23	AA MLE	Midland RockHounds	—	541	480	113	32	1	7	55	112	1	7	2	235	315	350	665	115	292	21	10	297	87	—	—	—	—	—	—
2009	23	AA RAW	Midland RockHounds	—	541	455	123	37	1	9	80	92	1	7	2	270	381	415	796	145	320	17	15	357	87	—	—	—	—	—	—
2010	24	AAA MLE	2 teams	—	382	341	70	14	1	17	32	110	2	3	1	205	277	402	679	196	240	29	8	292	84	—	—	—	—	—	—
2010	24	AAA RAW	2 teams	—	382	326	75	15	1	19	47	91	2	3	1	230	331	457	788	227	251	24	12	343	84	—	—	—	—	—	—
2011	25	AAA MLE	2 teams	—	569	520	113	27	0	16	41	143	6	14	4	217	282	362	644	144	267	25	7	284	78	—	—	—	—	—	—
2011	25	AAA RAW	2 teams	—	569	507	134	30	0	19	54	121	6	14	4	264	342	436	778	172	312	21	9	346	78	—	—	—	—	—	—
2012	26	MLB MLE	2 teams	—	528	491	131	25	2	21	29	103	6	9	3	267	316	454	770	187	298	20	5	334	112	+7	+1	+4	+2	+11	2.5
2012	26	MLB RAW	2 teams	—	528	483	136	28	2	22	37	95	6	9	3	282	340	484	825	203	310	18	7	362	112	+7	+1	+4	+2	+11	2.5
2013	27	MLB MLE	Oakland Athletics	—	668	581	176	36	3	26	74	110	6	5	2	303	387	509	897	207	333	16	11	392	151	+41	+0	+9	+2	+14	6.9
2013	27	MLB RAW	Oakland Athletics	—	668	579	174	37	3	24	76	110	6	5	2	301	387	499	886	199	333	16	11	388	151	+41	+0	+9	+2	+14	6.9
2014	28	MLB MLE	Oakland Athletics	—	695	613	157	30	2	32	71	130	7	8	0	256	340	468	808	212	275	19	10	356	127	+22	+2	+10	+2	+15	5.3
2014	28	MLB RAW	Oakland Athletics	—	695	608	155	31	2	29	76	130	7	8	0	255	344	456	800	201	278	19	11	354	127	+22	+2	+10	+2	+15	5.3
2015	29	MLB MLE	Toronto Blue Jays	—	711	620	184	41	2	41	73	133	6	6	0	297	376	568	944	271	314	19	10	403	159	+50	+1	+11	+3	+15	8.1
2015	29	MLB RAW	Toronto Blue Jays	—	711	620	184	41	2	41	73	133	6	6	0	297	376	568	944	271	314	19	10	404	159	+50	+1	+11	+3	+15	8.1
2016	30	MLB MLE	Toronto Blue Jays	—	700	583	164	32	5	37	103	119	9	7	1	281	397	544	941	262	295	17	15	408	162	+52	+1	-2	+2	+15	7.0
2016	30	MLB RAW	Toronto Blue Jays	—	700	577	164	32	5	37	109	119	9	7	1	284	406	549	955	265	300	17	16	415	162	+52	+1	-2	+2	+15	7.0
2017	31	MLB MLE	Toronto Blue Jays	—	496	416	112	21	0	33	75	111	3	2	2	269	385	558	942	288	288	22	15	408	162	+37	-0	+2	+2	+11	5.2
2017	31	MLB RAW	Toronto Blue Jays	—	496	415	112	21	0	33	76	111	3	2	2	270	387	559	946	289	289	22	15	410	162	+37	-0	+2	+2	+11	5.2
2018	32	MLB MLE	Cleveland Indians	—	219	189	46	14	0	8	29	54	0	2	0	243	344	444	788	201	297	25	13	348	122	+6	+0	-1	+1	+5	1.1
2018	32	MLB RAW	Cleveland Indians	—	219	187	46	14	0	8	31	54	0	2	0	246	353	449	802	203	302	25	14	356	122	+6	+0	-1	+1	+5	1.1
2019	33	MLB MLE	Atlanta Braves	—	659	551	142	33	0	37	98	155	8	4	2	258	377	519	897	261	291	24	15	393	152	+41	+0	+7	+2	+14	6.6
2019	33	MLB RAW	Atlanta Braves	—	659	549	142	33	0	37	100	155	8	4	2	259	381	521	901	262	292	24	15	395	152	+41	+0	+7	+2	+14	6.6
2020	34	MLB MLE	Minnesota Twins	—	102	82	18	2	0	6	17	24	2	0	0	220	366	463	830	244	226	24	17	366	134	+4	+0	+1	+0	+2	0.8
2020	34	MLB RAW	Minnesota Twins	—	102	81	18	2	0	6	18	24	2	0	0	222	376	469	845	247	231	24	18	374	134	+4	+0	+1	+0	+2	0.8
2021	35	MLB MLE	Minnesota Twins	—	543	459	113	26	0	26	72	114	4	0	0	246	353	473	826	227	266	21	13	360	130	+19	+0	+2	+2	+12	3.6
2021	35	MLB RAW	Minnesota Twins	—	543	457	113	26	0	26	74	114	4	0	0	247	357	475	832	228	268	21	14	363	130	+19	+0	+2	+2	+12	3.6
2022	36	MLB MLE	New York Yankees	—	546	479	105	28	0	14	53	148	8	2	2	219	307	365	673	146	282	27	10	303	91	-6	-0	+6	+2	+12	1.4
2022	36	MLB RAW	New York Yankees	—	546	478	106	28	0	15	54	148	8	2	2	222	311	374	686	153	283	27	10	307	91	-6	-0	+6	+2	+12	1.4
2023	37	MLB MLE	2 teams	—	224	194	30	6	0	15	28	57	0	0	0	155	261	418	679	263	121	25	12	295	86	-4	+0	+1	+1	+5	0.3
2023	37	MLB RAW	2 teams	—	224	191	31	6	0	16	31	56	0	0	0	162	279	445	724	283	124	25	14	316	86	-4	+0	+1	+1	+5	0.3
2008	22	A MLE	2 teams	—	461	431	94	20	1	13	23	95	4	7	3	218	262	360	622	142	250	21	5	269	68	—	—	—	—	—	—
2009	23	AA MLE	Midland RockHounds	—	541	480	113	32	1	7	55	112	1	7	2	235	315	350	665	115	289	21	10	297	87	—	—	—	—	—	—
2010	24	AAA MLE	2 teams	—	382	345	70	14	1	17	32	110	2	3	1	203	277	397	674	194	231	29	8	292	84	—	—	—	—	—	—
2011	25	AAA MLE	2 teams	—	569	517	113	27	0	16	41	143	6	14	4	219	282	364	646	145	268	25	7	284	78	—	—	—	—	—	—
2012	26	MLB MLE	2 teams	—	528	488	131	25	2	21	29	103	6	9	3	268	316	457	773	189	297	20	5	334	112	—	—	—	—	—	—
2013	27	MLB MLE	Oakland Athletics	—	668	583	176	36	3	26	74	110	6	5	2	302	387	508	895	206	333	16	11	392	151	—	—	—	—	—	—
2014	28	MLB MLE	Oakland Athletics	—	695	612	157	30	2	32	71	130	7	8	0	257	340	469	809	212	278	19	10	356	127	—	—	—	—	—	—
2015	29	MLB MLE	Toronto Blue Jays	—	711	626	184	41	2	41	73	133	6	6	0	294	376	562	939	268	314	19	10	403	159	—	—	—	—	—	—
2016	30	MLB MLE	Toronto Blue Jays	—	700	582	164	32	5	37	103	119	9	7	1	282	397	545	942	263	300	17	15	408	162	—	—	—	—	—	—
2017	31	MLB MLE	Toronto Blue Jays	—	496	415	112	21	0	33	75	111	3	2	2	270	385	559	944	289	289	22	15	408	162	—	—	—	—	—	—
2018	32	MLB MLE	Cleveland Indians	—	219	188	46	14	0	8	29	54	0	2	0	245	344	447	791	202	302	25	13	348	122	—	—	—	—	—	—
2019	33	MLB MLE	Atlanta Braves	—	659	548	142	33	0	37	98	155	8	4	2	259	377	522	899	263	292	24	15	393	152	—	—	—	—	—	—
2020	34	MLB MLE	Minnesota Twins	—	102	82	18	2	0	6	17	24	2	0	0	220	366	463	830	244	231	24	17	366	134	—	—	—	—	—	—
2021	35	MLB MLE	Minnesota Twins	—	543	462	113	26	0	26	72	114	4	0	0	245	353	470	823	225	268	21	13	360	130	—	—	—	—	—	—
2022	36	MLB MLE	New York Yankees	—	546	480	105	28	0	14	53	148	8	2	2	219	307	365	672	146	283	27	10	303	91	—	—	—	—	—	—
2023	37	MLB MLE	2 teams	—	224	194	30	6	0	15	28	57	0	0	0	155	261	418	679	263	120	25	12	295	86	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5856	5022	1310	287	12	279	725	1221	58	40	10	261	361	489	850	229	289	21	12	372	123	+265	+4	+49	+29	+127	48.3
/ 162G	—	A+C		—	650	557	145	32	1	31	80	136	6	4	1	260	359	488	847	228	289	21	12	372	123	+29	+0	+5	+3	+14	5.4
Career	—	MLE		—	8044	7033	1768	387	17	349	873	1718	72	76	22	251	340	460	800	209	282	21	11	350	123	+265	+4	+49	+29	+127	48.3
/ 162G	—	MLE		—	650	568	142	31	1	28	71	139	6	6	2	250	340	456	796	206	281	21	11	350	123	+29	+0	+5	+3	+14	5.4

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.

2023 AAANashville Sounds · 35 PAwOBA .435 → .333 (−102)K% 17.1% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.14%	÷0.978	×1.200	—	—	21.04%
BB% (unintentional) /PA	25.71%	÷0.995	×0.690	—	×0.940	16.77%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	10.00%	÷0.953	×0.930	—	×0.940	9.17%
Doubles /BIP	5.00%	÷0.971	×0.830	—	×0.940	4.02%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.940	0.00%
Home runs /BIP	15.00%	÷0.905	×0.700	—	×0.940	10.91%

Factors used: league row International League. Park (home-season share, regressed): HR 81, 1B 91, 2B 94, 3B 80, K 96, BB 99 — 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 .435 → .333; ISO .385 → .308; BABIP .176 → .148. 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 AAASacramento River Cats · 234 PAwOBA .422 → .363 (−59)K% 14.5% → 18.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.53%	÷1.034	×1.290	—	—	18.14%
BB% (unintentional) /PA	9.40%	÷1.064	×0.710	—	×1.003	6.29%
HBP% /PA	0.43%	—	×0.980	—	×1.003	0.42%
Singles /BIP	24.57%	÷0.940	×0.900	×1.012	×1.003	23.87%
Doubles /BIP	6.86%	÷1.045	×0.810	×1.012	×1.003	5.39%
Triples /BIP	1.14%	÷1.062	×0.810	×1.012	×1.003	0.88%
Home runs /BIP	7.43%	÷0.925	×0.780	—	×1.003	6.28%

Factors used: league row PCL. Park (home-season share, regressed): HR 85, 1B 88, 2B 109, 3B 112, K 107, BB 113 — 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 ×1.012.

Result: wOBA .422 → .363; ISO .263 → .219; BABIP .350 → .320. 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 AAASacramento River Cats · 503 PAwOBA .340 → .284 (−56)K% 19.9% → 25.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.88%	÷1.021	×1.290	—	—	25.12%
BB% (unintentional) /PA	9.94%	÷0.991	×0.710	—	×1.018	7.25%
HBP% /PA	1.19%	—	×0.980	—	×1.018	1.19%
Singles /BIP	20.64%	÷0.995	×0.900	×0.980	×1.018	18.62%
Doubles /BIP	8.14%	÷0.916	×0.810	×0.980	×1.018	7.18%
Triples /BIP	0.00%	÷1.048	×0.810	×0.980	×1.018	0.00%
Home runs /BIP	4.94%	÷0.936	×0.780	—	×1.018	4.19%

Factors used: league row PCL. Park (home-season share, regressed): HR 87, 1B 99, 2B 83, 3B 110, K 104, BB 98 — 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 ×0.980.

Result: wOBA .340 → .284; ISO .178 → .149; BABIP .301 → .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).

2010 AAASacramento River Cats · 348 PAwOBA .350 → .299 (−52)K% 22.7% → 28.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.70%	÷1.038	×1.290	—	—	28.22%
BB% (unintentional) /PA	12.36%	÷1.067	×0.710	—	×1.033	8.49%
HBP% /PA	0.57%	—	×0.980	—	×1.033	0.58%
Singles /BIP	17.21%	÷0.998	×0.900	×0.999	×1.033	16.02%
Doubles /BIP	6.51%	÷0.920	×0.810	×0.999	×1.033	5.92%
Triples /BIP	0.47%	÷0.900	×0.810	×0.999	×1.033	0.43%
Home runs /BIP	8.37%	÷0.950	×0.780	—	×1.033	7.10%

Factors used: league row PCL. Park (home-season share, regressed): HR 90, 1B 100, 2B 84, 3B 80, K 108, BB 113 — 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 ×0.999.

Result: wOBA .350 → .299; ISO .238 → .208; BABIP .255 → .233. 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 AAMidland RockHounds · 541 PAwOBA .348 → .297 (−51)K% 17.0% → 20.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.01%	÷1.000	×1.220	—	—	20.75%
BB% (unintentional) /PA	14.42%	÷1.000	×0.700	—	×1.012	10.21%
HBP% /PA	0.18%	—	×0.870	—	×1.012	0.16%
Singles /BIP	20.94%	÷1.000	×0.920	×1.003	×1.012	19.54%
Doubles /BIP	10.19%	÷1.000	×0.840	×1.003	×1.012	8.69%
Triples /BIP	0.28%	÷1.000	×0.940	×1.003	×1.012	0.26%
Home runs /BIP	2.48%	÷1.000	×0.800	—	×1.012	2.01%

Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.003.

Result: wOBA .348 → .297; ISO .145 → .125; BABIP .320 → .289. 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 APeoria Chiefs · 254 PAwOBA .272 → .214 (−59)K% 16.1% → 22.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.14%	÷1.000	×1.360	—	—	21.95%
BB% (unintentional) /PA	6.30%	÷1.000	×0.690	—	×0.990	4.30%
HBP% /PA	0.79%	—	×0.780	—	×0.990	0.61%
Singles /BIP	16.49%	÷1.000	×0.920	×0.973	×0.990	14.61%
Doubles /BIP	6.70%	÷1.000	×0.830	×0.973	×0.990	5.35%
Triples /BIP	0.00%	÷1.000	×0.910	×0.973	×0.990	0.00%
Home runs /BIP	3.09%	÷1.000	×0.800	—	×0.990	2.45%

Factors used: level-wide A 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 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.973.

Result: wOBA .272 → .214; ISO .132 → .100; BABIP .239 → .205. 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 A+Stockton Ports · 207 PAwOBA .406 → .337 (−69)K% 14.0% → 18.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.01%	÷1.000	×1.340	—	—	18.77%
BB% (unintentional) /PA	8.21%	÷1.000	×0.710	—	×0.998	5.82%
HBP% /PA	0.97%	—	×0.790	—	×0.998	0.76%
Singles /BIP	23.90%	÷1.000	×0.910	×0.987	×0.998	21.43%
Doubles /BIP	8.18%	÷1.000	×0.820	×0.987	×0.998	6.61%
Triples /BIP	1.26%	÷1.000	×0.760	×0.987	×0.998	0.94%
Home runs /BIP	5.66%	÷1.000	×0.920	—	×0.998	5.20%

Factors used: league row CAL. 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 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.

Result: wOBA .406 → .337; ISO .234 → .198; BABIP .353 → .306. 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 — .