AJ Pollock

PosCF

B/TR/R

Born1987-12-05

Age (2027)39

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
2021	33	MLBLAD	422	.297/.357/.536	21	9	148	2.8
2022	34	MLBCWS	527	.245/.294/.389	14	3	90	-0.3
2023	35	MLBSF	144	.165/.218/.308	5	0	49	-0.8
2024	36	No MLB games played
2025	37	No MLB games played
2026	38	No MLB games played

Last 3 seasons WAR 1.8

Contract

No contract data on file.

Skills · percentileStatcast 2021-2023

Speed84

xwOBA67

Bat Spd61

Barrel%60

Avg EV55

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)
2009	21	A	South Bend Silver Hawks	—	277	255	69	12	3	3	16	36	3	10	4	271	321	376	698	106	303	13	6	311	53	—	—	—	—	—	—
2010	22	INTL	Scottsdale Scorpions	—	72	64	20	6	0	0	6	10	2	7	0	312	389	406	795	94	370	14	8	362	131	—	—	—	—	—	—
2011	23	AA	Mobile BayBears	—	608	550	169	41	5	8	44	86	4	36	7	307	363	444	807	136	346	14	7	354	93	—	—	—	—	—	—
2012	24	MLB	Arizona Diamondbacks	—	93	81	20	4	1	2	9	11	0	1	2	247	322	395	717	148	257	12	10	311	86	-2	-1	+1	+2	+2	0.3
2012	24	AAA	Reno Aces	—	471	428	136	25	3	3	32	52	5	21	8	318	372	411	783	93	353	11	7	349	87	—	—	—	—	—	—
2013	25	MLB	Arizona Diamondbacks	—	482	443	119	28	5	8	33	82	2	12	3	269	322	409	731	140	314	17	7	323	97	-2	+1	+6	+2	+10	1.8
2014	26	MLB	Arizona Diamondbacks	—	287	265	80	19	6	7	19	46	2	14	3	302	353	498	851	196	344	16	7	372	128	+9	+2	+5	+1	+6	2.4
2014	26	AAA	Reno Aces	—	52	49	8	1	1	0	2	4	0	0	0	163	196	224	421	61	174	8	4	187	-11	—	—	—	—	—	—
2015	27	MLB	Arizona Diamondbacks	—	673	609	192	39	6	20	53	89	2	39	7	315	372	498	870	182	338	13	8	379	135	+28	+5	+12	+2	+15	6.3
2016	28	MLB	Arizona Diamondbacks	—	46	41	10	0	0	2	5	8	0	4	0	244	326	390	716	146	258	17	11	324	104	+0	+1	+1	+0	+1	0.4
2016	28	AAA	Reno Aces	—	20	18	8	4	0	1	2	1	0	1	1	444	500	833	1.333	389	438	5	10	566	172	—	—	—	—	—	—
2016	28	A+	Visalia Rawhide	—	20	16	7	1	0	2	4	1	0	1	0	438	550	875	1.425	438	385	5	20	593	201	—	—	—	—	—	—
2017	29	MLB	Arizona Diamondbacks	—	466	425	113	33	6	14	35	71	6	20	6	266	330	471	801	205	291	15	8	353	115	+8	+2	-1	+2	+10	2.1
2017	29	AAA	Reno Aces	—	22	18	5	2	0	2	4	2	0	0	0	278	409	722	1.131	444	214	9	18	474	118	—	—	—	—	—	—
2018	30	MLB	Arizona Diamondbacks	—	460	413	106	21	5	21	31	100	8	13	2	257	321	484	805	228	284	22	7	347	116	+9	+2	+3	+2	+10	2.6
2019	31	MLB	Los Angeles Dodgers	—	342	308	82	15	1	15	23	74	7	5	1	266	331	468	799	201	300	22	7	349	124	+10	+1	-8	+1	+7	1.1
2020	32	MLB	Los Angeles Dodgers	—	210	196	54	9	0	16	12	45	0	2	2	276	317	566	884	291	277	21	6	378	140	+10	-0	-1	-2	+5	1.1
2021	33	MLB	Los Angeles Dodgers	—	422	384	114	27	1	21	30	80	6	9	1	297	357	536	894	240	326	19	7	389	148	+24	+1	-2	-5	+9	2.8
2022	34	MLB	Chicago White Sox	—	527	489	120	26	1	14	32	98	2	3	1	245	294	389	683	143	278	19	6	303	90	-6	+0	-3	-6	+11	-0.3
2023	35	MLB	San Francisco Giants	—	144	133	22	4	0	5	9	32	0	0	1	165	218	308	527	143	173	22	6	233	49	-9	-0	+0	-2	+3	-0.8
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	4152	3787	1032	225	32	145	291	736	35	122	29	273	330	464	794	191	302	18	7	347	121	+104	+13	+14	-2	+90	22.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	21	A MLE	South Bend Silver Hawks	—	277	260	58	9	3	2	11	49	3	10	4	223	263	304	567	81	259	18	4	247	53	—	—	—	—	—	—
2011	23	AA MLE	Mobile BayBears	—	608	563	154	38	5	6	31	105	4	36	7	274	316	391	707	117	313	17	5	306	93	—	—	—	—	—	—
2012	24	MLB MLE	Arizona Diamondbacks	—	93	82	20	4	1	2	8	11	0	1	2	244	311	390	701	146	257	12	9	295	86	-2	-1	+1	+2	+2	0.3
2012	24	AAA MLE	Reno Aces	—	471	437	123	19	3	2	23	70	5	21	8	281	325	352	677	71	322	15	5	297	87	—	—	—	—	—	—
2013	25	MLB MLE	Arizona Diamondbacks	—	482	444	116	26	4	8	32	82	2	12	3	261	314	392	706	131	314	17	7	311	97	-2	+1	+6	+2	+10	1.8
2014	26	MLB MLE	Arizona Diamondbacks	—	287	265	77	17	5	7	19	46	2	14	3	291	343	472	814	181	344	16	7	357	128	+9	+2	+5	+1	+6	2.4
2014	26	AAA MLE	Reno Aces	—	52	50	7	1	1	0	1	5	0	0	0	140	157	200	357	60	148	10	2	152	-11	—	—	—	—	—	—
2015	27	MLB MLE	Arizona Diamondbacks	—	673	609	187	36	5	20	53	89	2	39	7	307	364	481	846	174	338	13	8	368	135	+28	+5	+12	+2	+15	6.3
2016	28	MLB MLE	Arizona Diamondbacks	—	46	41	10	0	0	2	5	8	0	4	0	244	326	390	716	146	258	17	11	322	104	+0	+1	+1	+0	+1	0.4
2016	28	AAA MLE	Reno Aces	—	20	19	7	3	0	1	1	1	0	1	1	368	400	684	1.084	316	339	5	5	423	172	—	—	—	—	—	—
2016	28	A+ MLE	Visalia Rawhide	—	20	17	7	1	0	2	3	1	0	1	0	412	500	824	1.324	412	311	5	15	466	201	—	—	—	—	—	—
2017	29	MLB MLE	Arizona Diamondbacks	—	466	426	109	30	5	14	34	71	6	20	6	256	320	448	768	192	291	15	7	338	115	+8	+2	-1	+2	+10	2.1
2017	29	AAA MLE	Reno Aces	—	22	19	3	1	0	1	3	3	0	0	0	158	273	368	641	211	160	14	14	342	118	—	—	—	—	—	—
2018	30	MLB MLE	Arizona Diamondbacks	—	460	415	104	19	4	22	29	100	8	13	2	251	312	475	787	224	284	22	6	339	116	+9	+2	+3	+2	+10	2.6
2019	31	MLB MLE	Los Angeles Dodgers	—	342	309	83	16	1	14	22	74	7	5	1	269	331	463	794	194	300	22	6	351	124	+10	+1	-8	+1	+7	1.1
2020	32	MLB MLE	Los Angeles Dodgers	—	210	197	54	10	0	15	11	45	0	2	2	274	312	553	866	279	277	21	5	375	140	+10	-0	-1	-2	+5	1.1
2021	33	MLB MLE	Los Angeles Dodgers	—	422	388	116	29	1	20	26	80	6	9	1	299	352	534	886	235	326	19	6	387	148	+24	+1	-2	-5	+9	2.8
2022	34	MLB MLE	Chicago White Sox	—	527	489	120	26	1	14	32	98	2	3	1	245	294	389	683	143	278	19	6	301	90	-6	+0	-3	-6	+11	-0.3
2023	35	MLB MLE	San Francisco Giants	—	144	133	22	4	0	5	9	32	0	0	1	165	218	308	527	143	173	22	6	240	49	-9	-0	+0	-2	+3	-0.8
2009	21	A MLE	South Bend Silver Hawks	—	277	260	58	9	3	2	11	49	3	10	4	223	263	304	567	81	265	18	4	247	53	—	—	—	—	—	—
2009	21	A RAW	South Bend Silver Hawks	—	277	255	69	12	3	3	16	36	3	10	4	271	321	376	698	106	303	13	6	311	53	—	—	—	—	—	—
2010	22	INTL MLE	Scottsdale Scorpions	—	72	64	20	6	0	0	6	10	2	7	0	312	389	406	795	94	370	14	8	—	—	—	—	—	—	—	—
2010	22	INTL RAW	Scottsdale Scorpions	—	72	64	20	6	0	0	6	10	2	7	0	312	389	406	795	94	370	14	8	362	131	—	—	—	—	—	—
2011	23	AA MLE	Mobile BayBears	—	608	563	154	38	5	6	31	105	4	36	7	274	316	391	707	117	321	17	5	306	93	—	—	—	—	—	—
2011	23	AA RAW	Mobile BayBears	—	608	550	169	41	5	8	44	86	4	36	7	307	363	444	807	136	346	14	7	354	93	—	—	—	—	—	—
2012	24	AAA MLE	2 teams	—	564	519	142	22	4	4	31	81	5	22	10	274	321	355	675	81	314	14	5	297	87	—	—	—	—	—	—
2012	24	AAA RAW	2 teams	—	564	509	156	29	4	5	41	63	5	22	10	306	364	409	773	102	338	11	7	342	87	—	—	—	—	—	—
2013	25	MLB MLE	Arizona Diamondbacks	—	482	444	116	26	4	8	32	82	2	12	3	261	314	392	706	131	304	17	7	311	97	-2	+1	+6	+2	+10	1.8
2013	25	MLB RAW	Arizona Diamondbacks	—	482	443	119	28	5	8	33	82	2	12	3	269	322	409	731	140	314	17	7	323	97	-2	+1	+6	+2	+10	1.8
2014	26	MLB MLE	2 teams	—	339	315	84	18	6	7	20	51	2	14	3	267	315	429	743	162	298	15	6	325	106	+3	+2	+5	+1	+7	1.8
2014	26	MLB RAW	2 teams	—	339	314	88	20	7	7	21	50	2	14	3	280	329	455	785	175	314	15	6	344	106	+3	+2	+5	+1	+7	1.8
2015	27	MLB MLE	Arizona Diamondbacks	—	673	609	187	36	5	20	53	89	2	39	7	307	364	481	846	174	328	13	8	368	135	+28	+5	+12	+2	+15	6.3
2015	27	MLB RAW	Arizona Diamondbacks	—	673	609	192	39	6	20	53	89	2	39	7	315	372	498	870	182	338	13	8	379	135	+28	+5	+12	+2	+15	6.3
2016	28	MLB MLE	3 teams	—	86	77	22	4	0	4	9	11	0	6	1	286	360	494	854	208	290	13	10	379	143	+4	+1	+1	+0	+2	0.9
2016	28	MLB RAW	3 teams	—	86	75	25	5	0	5	11	10	0	6	1	333	419	600	1.019	267	333	12	13	443	143	+4	+1	+1	+0	+2	0.9
2017	29	MLB MLE	2 teams	—	488	445	113	32	5	15	37	74	6	20	6	254	320	449	769	196	275	15	8	338	115	+9	+2	-1	+2	+11	2.2
2017	29	MLB RAW	2 teams	—	488	443	118	35	6	16	39	73	6	20	6	266	334	481	815	214	288	15	8	358	115	+9	+2	-1	+2	+11	2.2
2018	30	MLB MLE	Arizona Diamondbacks	—	460	415	104	19	4	22	29	100	8	13	2	251	312	475	787	224	273	22	6	339	116	+9	+2	+3	+2	+10	2.6
2018	30	MLB RAW	Arizona Diamondbacks	—	460	413	106	21	5	21	31	100	8	13	2	257	321	484	805	228	284	22	7	347	116	+9	+2	+3	+2	+10	2.6
2019	31	MLB MLE	Los Angeles Dodgers	—	342	309	83	16	1	14	22	74	7	5	1	269	331	463	794	194	307	22	6	351	124	+10	+1	-8	+1	+7	1.1
2019	31	MLB RAW	Los Angeles Dodgers	—	342	308	82	15	1	15	23	74	7	5	1	266	331	468	799	201	300	22	7	349	124	+10	+1	-8	+1	+7	1.1
2020	32	MLB MLE	Los Angeles Dodgers	—	210	197	54	10	0	15	11	45	0	2	2	274	312	553	866	279	281	21	5	375	140	+10	-0	-1	-2	+5	1.1
2020	32	MLB RAW	Los Angeles Dodgers	—	210	196	54	9	0	16	12	45	0	2	2	276	317	566	884	291	277	21	6	378	140	+10	-0	-1	-2	+5	1.1
2021	33	MLB MLE	Los Angeles Dodgers	—	422	388	116	29	1	20	26	80	6	9	1	299	352	534	886	235	331	19	6	387	148	+24	+1	-2	-5	+9	2.8
2021	33	MLB RAW	Los Angeles Dodgers	—	422	384	114	27	1	21	30	80	6	9	1	297	357	536	894	240	326	19	7	389	148	+24	+1	-2	-5	+9	2.8
2022	34	MLB MLE	Chicago White Sox	—	527	489	120	26	1	14	32	98	2	3	1	245	294	389	683	143	278	19	6	301	90	-6	+0	-3	-6	+11	-0.3
2022	34	MLB RAW	Chicago White Sox	—	527	489	120	26	1	14	32	98	2	3	1	245	294	389	683	143	278	19	6	303	90	-6	+0	-3	-6	+11	-0.3
2023	35	MLB MLE	San Francisco Giants	—	144	133	22	4	0	5	9	32	0	0	1	165	218	308	527	143	173	22	6	240	49	-9	-0	+0	-2	+3	-0.8
2023	35	MLB RAW	San Francisco Giants	—	144	133	22	4	0	5	9	32	0	0	1	165	218	308	527	143	173	22	6	233	49	-9	-0	+0	-2	+3	-0.8
2009	21	A MLE	South Bend Silver Hawks	—	277	261	58	9	3	2	11	49	3	10	4	222	263	303	565	80	259	18	4	247	53	—	—	—	—	—	—
2011	23	AA MLE	Mobile BayBears	—	608	568	154	38	5	6	31	105	4	36	7	271	316	387	703	116	313	17	5	306	93	—	—	—	—	—	—
2012	24	AAA MLE	2 teams	—	564	523	142	22	4	4	31	81	5	22	10	272	321	352	673	80	311	14	5	297	87	—	—	—	—	—	—
2013	25	MLB MLE	Arizona Diamondbacks	—	482	445	116	26	4	8	32	82	2	12	3	261	314	391	705	130	314	17	7	311	97	—	—	—	—	—	—
2014	26	MLB MLE	2 teams	—	339	314	84	18	6	7	20	51	2	14	3	268	315	430	744	162	314	15	6	325	106	—	—	—	—	—	—
2015	27	MLB MLE	Arizona Diamondbacks	—	673	613	187	36	5	20	53	89	2	39	7	305	364	478	842	173	338	13	8	368	135	—	—	—	—	—	—
2016	28	MLB MLE	3 teams	—	86	77	22	4	0	4	9	11	0	6	1	286	360	494	854	208	289	13	10	379	143	—	—	—	—	—	—
2017	29	MLB MLE	2 teams	—	488	442	113	32	5	15	37	74	6	20	6	256	320	452	772	197	285	15	8	338	115	—	—	—	—	—	—
2018	30	MLB MLE	Arizona Diamondbacks	—	460	420	104	19	4	22	29	100	8	13	2	248	312	469	781	221	284	22	6	339	116	—	—	—	—	—	—
2019	31	MLB MLE	Los Angeles Dodgers	—	342	310	83	16	1	14	22	74	7	5	1	268	331	461	793	194	300	22	6	351	124	—	—	—	—	—	—
2020	32	MLB MLE	Los Angeles Dodgers	—	210	197	54	10	0	15	11	45	0	2	2	274	312	553	866	279	277	21	5	375	140	—	—	—	—	—	—
2021	33	MLB MLE	Los Angeles Dodgers	—	422	387	116	29	1	20	26	80	6	9	1	300	352	535	887	235	326	19	6	387	148	—	—	—	—	—	—
2022	34	MLB MLE	Chicago White Sox	—	527	488	120	26	1	14	32	98	2	3	1	246	294	389	684	143	278	19	6	301	90	—	—	—	—	—	—
2023	35	MLB MLE	San Francisco Giants	—	144	134	22	4	0	5	9	32	0	0	1	164	218	306	524	142	173	22	6	240	49	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4152	3787	1032	225	32	145	291	736	35	122	29	273	330	464	794	191	302	18	7	347	105	+104	+13	+14	-2	+90	22.3
/ 162G	—	A+C		—	650	593	162	35	5	23	46	115	5	19	5	273	331	465	796	192	302	18	7	347	105	+16	+2	+2	-0	+14	3.5
Career	—	MLE		—	5694	5227	1395	295	39	156	359	981	49	198	49	267	320	428	748	161	299	17	6	323	105	+104	+13	+14	-2	+90	22.3
/ 162G	—	MLE		—	650	597	159	34	4	18	41	112	6	23	6	266	320	427	748	161	298	17	6	323	105	+16	+2	+2	-0	+14	3.5

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.

2017 AAAReno Aces · 22 PAwOBA .461 → .342 (−118)K% 9.1% → 12.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.09%	÷0.919	×1.290	—	—	12.76%
BB% (unintentional) /PA	18.18%	÷1.007	×0.710	—	×0.972	12.45%
HBP% /PA	0.00%	—	×0.980	—	×0.972	0.00%
Singles /BIP	6.25%	÷0.992	×0.900	—	×0.972	5.51%
Doubles /BIP	12.50%	÷1.089	×0.810	—	×0.972	9.04%
Triples /BIP	0.00%	÷1.150	×0.810	—	×0.972	0.00%
Home runs /BIP	12.50%	÷1.044	×0.780	—	×0.972	9.07%

Factors used: league row PCL. Park (home-season share, regressed): HR 109, 1B 98, 2B 118, 3B 130, K 84, BB 102 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average).

Result: wOBA .461 → .342; ISO .444 → .331; BABIP .214 → .160. 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 AAAReno Aces · 20 PAwOBA .550 → .423 (−127)K% 5.0% → 6.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	5.00%	÷0.991	×1.290	—	—	6.51%
BB% (unintentional) /PA	10.00%	÷0.979	×0.710	—	×0.982	7.12%
HBP% /PA	0.00%	—	×0.980	—	×0.982	0.00%
Singles /BIP	17.65%	÷1.052	×0.900	—	×0.982	14.83%
Doubles /BIP	23.53%	÷1.060	×0.810	—	×0.982	17.66%
Triples /BIP	0.00%	÷1.150	×0.810	—	×0.982	0.00%
Home runs /BIP	5.88%	÷1.092	×0.780	—	×0.982	4.13%

Factors used: league row PCL. Park (home-season share, regressed): HR 118, 1B 110, 2B 112, 3B 130, K 98, 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 .550 → .423; ISO .389 → .288; BABIP .438 → .339. 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 A+Visalia Rawhide · 20 PAwOBA .577 → .466 (−110)K% 5.0% → 6.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	5.00%	÷1.020	×1.340	—	—	6.57%
BB% (unintentional) /PA	20.00%	÷1.008	×0.710	—	×0.940	13.25%
HBP% /PA	0.00%	—	×0.790	—	×0.940	0.00%
Singles /BIP	26.67%	÷0.994	×0.910	—	×0.940	22.95%
Doubles /BIP	6.67%	÷1.038	×0.820	—	×0.940	4.95%
Triples /BIP	0.00%	÷1.065	×0.760	—	×0.940	0.00%
Home runs /BIP	13.33%	÷1.134	×0.920	—	×0.940	10.17%

Factors used: league row CAL. Park (home-season share, regressed): HR 127, 1B 99, 2B 108, 3B 113, K 104, BB 102 — applied at half strength. Age: age 29 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (6.2 yr older than average).

Result: wOBA .577 → .466; ISO .438 → .355; BABIP .385 → .311. 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 AAAReno Aces · 52 PAwOBA .186 → .152 (−34)K% 7.7% → 10.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.69%	÷0.965	×1.290	—	—	10.28%
BB% (unintentional) /PA	3.85%	÷1.049	×0.710	—	×1.003	2.61%
HBP% /PA	0.00%	—	×0.980	—	×1.003	0.00%
Singles /BIP	13.33%	÷1.047	×0.900	×1.022	×1.003	11.75%
Doubles /BIP	2.22%	÷1.047	×0.810	×1.022	×1.003	1.76%
Triples /BIP	2.22%	÷1.150	×0.810	×1.022	×1.003	1.60%
Home runs /BIP	0.00%	÷1.116	×0.780	—	×1.003	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 123, 1B 109, 2B 109, 3B 130, K 93, BB 110 — 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 ×1.022.

Result: wOBA .186 → .152; ISO .061 → .046; BABIP .174 → .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 AAAReno Aces · 471 PAwOBA .342 → .297 (−45)K% 11.0% → 14.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.04%	÷0.956	×1.290	—	—	14.90%
BB% (unintentional) /PA	6.79%	÷1.042	×0.710	—	×1.033	4.78%
HBP% /PA	1.06%	—	×0.980	—	×1.033	1.07%
Singles /BIP	27.93%	÷0.989	×0.900	×1.012	×1.033	26.57%
Doubles /BIP	6.65%	÷1.130	×0.810	×1.012	×1.033	4.98%
Triples /BIP	0.80%	÷0.900	×0.810	×1.012	×1.033	0.75%
Home runs /BIP	0.80%	÷1.021	×0.780	—	×1.033	0.63%

Factors used: league row PCL. Park (home-season share, regressed): HR 104, 1B 98, 2B 126, 3B 80, K 91, BB 108 — 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 ×1.012.

Result: wOBA .342 → .297; ISO .093 → .073; BABIP .353 → .322. 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 AAMobile BayBears · 608 PAwOBA .348 → .306 (−42)K% 14.1% → 17.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.14%	÷0.996	×1.220	—	—	17.32%
BB% (unintentional) /PA	6.91%	÷0.938	×0.680	—	×1.012	5.07%
HBP% /PA	0.66%	—	×0.840	—	×1.012	0.56%
Singles /BIP	24.78%	÷1.039	×0.920	×1.005	×1.012	22.32%
Doubles /BIP	8.84%	÷1.012	×0.910	×1.005	×1.012	8.08%
Triples /BIP	1.08%	÷0.900	×0.880	×1.005	×1.012	1.07%
Home runs /BIP	1.72%	÷1.088	×0.800	—	×1.012	1.28%

Factors used: league row SL. Park (home-season share, regressed): HR 118, 1B 108, 2B 102, 3B 80, K 99, BB 88 — 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 ×1.005.

Result: wOBA .348 → .306; ISO .136 → .120; BABIP .346 → .313. 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 ASouth Bend Silver Hawks · 277 PAwOBA .305 → .247 (−57)K% 13.0% → 17.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.00%	÷1.000	×1.360	—	—	17.68%
BB% (unintentional) /PA	5.78%	÷1.000	×0.690	—	—	3.99%
HBP% /PA	1.08%	—	×0.780	—	—	0.84%
Singles /BIP	23.29%	÷1.000	×0.920	×0.950	—	20.35%
Doubles /BIP	5.48%	÷1.000	×0.830	×0.950	—	4.32%
Triples /BIP	1.37%	÷1.000	×0.910	×0.950	—	1.18%
Home runs /BIP	1.37%	÷1.000	×0.800	—	—	1.10%

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 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .305 → .247; ISO .106 → .084; BABIP .303 → .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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .