Hunter Pence

PosRF

B/TR/R

Born1983-04-13

Age (2027)44

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2020

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2018	35	AAA/INTL2 orgs	142	.295/.336/.379	2	1	74	—	.257/.291/.314
2018	35	MLBSF	248	.226/.260/.332	4	5	65	-1.3
2019	36	MLBTEX	316	.297/.360/.552	18	6	144	1.7
2020	37	MLBSF	56	.096/.161/.250	2	0	17	-0.7
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 -0.3

Contract

No contract data on file.

Skills · percentileStatcast 2018-2020

Avg EV60

xwOBA59

Speed58

Barrel%44

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)
2005	22	A+	Salem Avalanche	—	171	151	46	8	1	6	18	37	0	1	2	305	379	490	869	185	364	22	11	380	97	—	—	—	—	—	—
2005	22	A	Lexington Legends	—	341	302	102	14	3	25	38	53	1	8	3	338	413	652	1.066	315	344	16	11	459	134	—	—	—	—	—	—
2006	23	AA	Corpus Christi Hooks	—	592	523	150	31	8	28	60	109	3	17	4	287	363	537	901	250	312	18	10	389	112	—	—	—	—	—	—
2007	24	MLB	Houston Astros	—	484	456	147	30	9	17	26	95	1	11	5	322	360	539	900	217	377	20	5	392	151	+30	+0	-0	+2	+10	4.3
2007	24	AAA	Round Rock Express	—	106	95	31	11	1	3	10	15	0	2	0	326	390	558	948	232	359	14	9	410	109	—	—	—	—	—	—
2008	25	MLB	Houston Astros	—	642	595	160	34	4	25	40	124	4	11	10	269	319	466	785	197	301	19	6	344	117	+13	-2	+5	-7	+14	2.4
2009	26	MLB	Houston Astros	—	647	585	165	26	5	25	58	109	1	14	11	282	348	472	820	190	308	17	9	361	129	+23	-2	+5	-7	+14	3.4
2010	27	MLB	Houston Astros	—	658	614	173	29	3	25	41	105	0	18	9	282	327	461	788	179	304	16	6	346	118	+14	+0	-6	-7	+14	1.5
2011	28	MLB	Philadelphia Phillies	—	668	606	190	38	5	22	56	124	1	8	2	314	373	502	874	188	361	19	8	383	140	+32	+1	-11	-7	+14	3.0
2012	29	MLB	San Francisco Giants	—	688	617	156	26	4	24	56	145	7	5	2	253	322	425	747	172	290	21	8	329	113	+10	+0	-7	-7	+15	1.1
2013	30	MLB	San Francisco Giants	—	687	629	178	35	5	27	52	115	3	22	3	283	341	483	824	200	308	17	8	361	134	+28	+3	-11	-7	+15	2.9
2014	31	MLB	San Francisco Giants	—	708	650	180	29	10	20	52	130	3	13	6	277	333	445	778	168	318	18	7	343	121	+18	+0	-8	-8	+15	1.8
2015	32	MLB	San Francisco Giants	—	223	207	57	13	1	9	16	48	0	4	1	275	327	478	806	203	320	22	7	354	132	+8	+0	+0	-3	+5	1.1
2015	32	AAA	Sacramento River Cats	—	20	17	5	0	0	2	2	4	0	0	0	294	368	647	1.015	353	250	20	10	414	119	—	—	—	—	—	—
2016	33	MLB	San Francisco Giants	—	442	395	114	23	1	13	43	95	1	1	1	289	360	451	811	162	348	21	10	359	133	+17	-0	-8	-5	+10	1.4
2016	33	AAA	Sacramento River Cats	—	25	24	10	2	0	3	0	3	1	0	0	417	440	875	1.315	458	389	12	0	563	164	—	—	—	—	—	—
2017	34	MLB	San Francisco Giants	—	539	493	128	13	5	13	40	102	2	2	3	260	318	385	703	126	301	19	7	314	102	+1	-1	-7	-6	+12	-0.0
2018	35	MLB	San Francisco Giants	—	248	235	53	11	1	4	11	59	0	5	1	226	260	332	592	106	282	24	4	263	65	-10	+1	-4	-4	+5	-1.3
2018	35	AAA	Sacramento River Cats	—	111	103	31	4	0	1	6	24	1	0	0	301	345	369	714	68	380	22	5	321	69	—	—	—	—	—	—
2018	35	INTL	Toros del Este	—	31	29	8	1	0	1	1	7	0	1	0	276	300	414	714	138	318	23	3	306	93	—	—	—	—	—	—
2019	36	MLB	Texas Rangers	—	316	286	85	17	1	18	26	69	2	6	1	297	360	552	912	255	333	22	8	395	144	+16	+1	-4	-4	+7	1.7
2019	36	AA	Frisco RoughRiders	—	19	18	3	0	0	0	1	6	0	0	0	167	211	167	377		250	32	5	180	-22	—	—	—	—	—	—
2020	37	MLB	San Francisco Giants	—	56	52	5	0	1	2	3	15	1	0	0	96	161	250	411	154	86	27	5	186	17	-6	+0	-2	-1	+1	-0.7
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	7006	6420	1791	324	55	244	520	1335	26	120	55	279	335	461	796	182	317	19	7	350	123	+191	+2	-59	-70	+152	22.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	22	A+ MLE	Salem Avalanche	—	171	158	42	7	1	5	11	52	0	1	2	266	314	418	731	152	347	30	6	312	97	—	—	—	—	—	—
2005	22	A MLE	Lexington Legends	—	341	316	89	11	3	20	24	71	1	8	3	282	334	525	860	244	306	21	7	366	134	—	—	—	—	—	—
2006	23	AA MLE	Corpus Christi Hooks	—	592	544	140	28	8	23	39	133	3	17	4	257	311	465	776	208	292	22	7	333	112	—	—	—	—	—	—
2007	24	MLB MLE	Houston Astros	—	484	456	147	30	9	17	26	95	1	11	5	322	360	539	900	217	377	20	5	392	151	+30	+0	-0	+2	+10	4.3
2007	24	AAA MLE	Round Rock Express	—	106	98	26	9	1	2	7	19	0	2	0	265	314	439	753	173	306	18	7	330	109	—	—	—	—	—	—
2008	25	MLB MLE	Houston Astros	—	642	597	160	34	4	25	38	124	4	11	10	268	316	464	780	196	301	19	6	342	117	+13	-2	+5	-7	+14	2.4
2009	26	MLB MLE	Houston Astros	—	647	586	165	26	5	25	57	109	1	14	11	282	346	471	817	189	308	17	9	360	129	+23	-2	+5	-7	+14	3.4
2010	27	MLB MLE	Houston Astros	—	658	616	171	27	3	26	39	105	0	18	9	278	321	458	778	180	304	16	6	342	118	+14	+0	-6	-7	+14	1.5
2011	28	MLB MLE	Philadelphia Phillies	—	668	609	189	39	5	21	53	124	1	8	2	310	367	494	861	184	361	19	8	376	140	+32	+1	-11	-7	+14	3.0
2012	29	MLB MLE	San Francisco Giants	—	688	619	160	26	4	26	54	145	7	5	2	258	325	439	764	181	290	21	8	335	113	+10	+0	-7	-7	+15	1.1
2013	30	MLB MLE	San Francisco Giants	—	687	632	182	35	5	29	49	115	3	22	3	288	342	497	839	209	308	17	7	367	134	+28	+3	-11	-7	+15	2.9
2014	31	MLB MLE	San Francisco Giants	—	708	653	184	29	10	22	49	130	3	13	6	282	335	458	793	176	318	18	7	347	121	+18	+0	-8	-8	+15	1.8
2015	32	MLB MLE	San Francisco Giants	—	223	207	59	13	1	10	16	48	0	4	1	285	336	502	839	217	320	22	7	363	132	+8	+0	+0	-3	+5	1.1
2015	32	AAA MLE	Sacramento River Cats	—	20	18	5	0	0	2	1	5	0	0	0	278	316	611	927	333	206	25	5	344	119	—	—	—	—	—	—
2016	33	MLB MLE	San Francisco Giants	—	442	396	116	23	1	14	42	95	1	1	1	293	362	462	824	169	348	21	10	364	133	+17	-0	-8	-5	+10	1.4
2016	33	AAA MLE	Sacramento River Cats	—	25	24	8	2	0	2	0	4	1	0	0	333	360	667	1.027	333	316	16	0	411	164	—	—	—	—	—	—
2017	34	MLB MLE	San Francisco Giants	—	539	494	130	13	5	14	39	102	2	2	3	263	320	395	714	132	301	19	7	319	102	+1	-1	-7	-6	+12	-0.0
2018	35	MLB MLE	San Francisco Giants	—	248	236	54	11	1	4	10	59	0	5	1	229	260	335	595	106	282	24	4	265	65	-10	+1	-4	-4	+5	-1.3
2018	35	AAA MLE	Sacramento River Cats	—	111	105	27	3	0	1	4	29	1	0	0	257	291	314	605	57	347	26	4	270	69	—	—	—	—	—	—
2019	36	MLB MLE	Texas Rangers	—	316	286	83	16	1	17	26	69	2	6	1	290	354	531	885	241	333	22	8	381	144	+16	+1	-4	-4	+7	1.7
2019	36	AA MLE	Frisco RoughRiders	—	19	18	2	0	0	0	1	7	0	0	0	111	158	111	269		220	37	5	135	-22	—	—	—	—	—	—
2020	37	MLB MLE	San Francisco Giants	—	56	52	5	0	1	2	3	15	1	0	0	96	161	250	411	154	86	27	5	193	17	-6	+0	-2	-1	+1	-0.7
2005	22	A MLE	2 teams	—	512	474	130	18	4	25	35	123	1	9	5	274	325	487	813	213	320	24	7	348	122	—	—	—	—	—	—
2005	22	A RAW	2 teams	—	512	453	148	22	4	31	56	90	1	9	5	327	402	598	1.000	272	350	18	11	432	122	—	—	—	—	—	—
2006	23	AA MLE	Corpus Christi Hooks	—	592	544	140	28	8	23	39	133	3	17	4	257	311	465	776	208	298	22	7	333	112	—	—	—	—	—	—
2006	23	AA RAW	Corpus Christi Hooks	—	592	523	150	31	8	28	60	109	3	17	4	287	363	537	901	250	312	18	10	389	112	—	—	—	—	—	—
2007	24	MLB MLE	2 teams	—	590	554	173	39	10	19	33	114	1	13	5	312	352	522	874	209	364	19	6	381	144	+31	+1	-0	+2	+13	4.7
2007	24	MLB RAW	2 teams	—	590	551	178	41	10	20	36	110	1	13	5	323	366	543	908	220	374	19	6	395	144	+31	+1	-0	+2	+13	4.7
2008	25	MLB MLE	Houston Astros	—	642	597	160	34	4	25	38	124	4	11	10	268	316	464	780	196	299	19	6	342	117	+13	-2	+5	-7	+14	2.4
2008	25	MLB RAW	Houston Astros	—	642	595	160	34	4	25	40	124	4	11	10	269	319	466	785	197	301	19	6	344	117	+13	-2	+5	-7	+14	2.4
2009	26	MLB MLE	Houston Astros	—	647	586	165	26	5	25	57	109	1	14	11	282	346	471	817	189	308	17	9	360	129	+23	-2	+5	-7	+14	3.4
2009	26	MLB RAW	Houston Astros	—	647	585	165	26	5	25	58	109	1	14	11	282	348	472	820	190	308	17	9	361	129	+23	-2	+5	-7	+14	3.4
2010	27	MLB MLE	Houston Astros	—	658	616	171	27	3	26	39	105	0	18	9	278	321	458	778	180	297	16	6	342	118	+14	+0	-6	-7	+14	1.5
2010	27	MLB RAW	Houston Astros	—	658	614	173	29	3	25	41	105	0	18	9	282	327	461	788	179	304	16	6	346	118	+14	+0	-6	-7	+14	1.5
2011	28	MLB MLE	Philadelphia Phillies	—	668	609	189	39	5	21	53	124	1	8	2	310	367	494	861	184	358	19	8	376	140	+32	+1	-11	-7	+14	3.0
2011	28	MLB RAW	Philadelphia Phillies	—	668	606	190	38	5	22	56	124	1	8	2	314	373	502	874	188	361	19	8	383	140	+32	+1	-11	-7	+14	3.0
2012	29	MLB MLE	San Francisco Giants	—	688	619	160	26	4	26	54	145	7	5	2	258	325	439	764	181	295	21	8	335	113	+10	+0	-7	-7	+15	1.1
2012	29	MLB RAW	San Francisco Giants	—	688	617	156	26	4	24	56	145	7	5	2	253	322	425	747	172	290	21	8	329	113	+10	+0	-7	-7	+15	1.1
2013	30	MLB MLE	San Francisco Giants	—	687	632	182	35	5	29	49	115	3	22	3	288	342	497	839	209	312	17	7	367	134	+28	+3	-11	-7	+15	2.9
2013	30	MLB RAW	San Francisco Giants	—	687	629	178	35	5	27	52	115	3	22	3	283	341	483	824	200	308	17	8	361	134	+28	+3	-11	-7	+15	2.9
2014	31	MLB MLE	San Francisco Giants	—	708	653	184	29	10	22	49	130	3	13	6	282	335	458	793	176	321	18	7	347	121	+18	+0	-8	-8	+15	1.8
2014	31	MLB RAW	San Francisco Giants	—	708	650	180	29	10	20	52	130	3	13	6	277	333	445	778	168	318	18	7	343	121	+18	+0	-8	-8	+15	1.8
2015	32	MLB MLE	2 teams	—	243	225	62	13	1	11	17	53	0	4	1	276	326	489	815	213	315	22	7	361	131	+9	+0	+0	-3	+5	1.2
2015	32	MLB RAW	2 teams	—	243	224	62	13	1	11	18	52	0	4	1	277	331	491	822	214	315	21	7	359	131	+9	+0	+0	-3	+5	1.2
2016	33	MLB MLE	2 teams	—	467	420	123	24	1	16	42	99	2	1	1	293	360	469	829	176	347	21	9	367	134	+19	-0	-8	-5	+10	1.6
2016	33	MLB RAW	2 teams	—	467	419	124	25	1	16	43	98	2	1	1	296	364	475	839	179	351	21	9	370	134	+19	-0	-8	-5	+10	1.6
2017	34	MLB MLE	San Francisco Giants	—	539	494	130	13	5	14	39	102	2	2	3	263	320	395	714	132	304	19	7	319	102	+1	-1	-7	-6	+12	-0.0
2017	34	MLB RAW	San Francisco Giants	—	539	493	128	13	5	13	40	102	2	2	3	260	318	385	703	126	301	19	7	314	102	+1	-1	-7	-6	+12	-0.0
2018	35	MLB MLE	3 teams	—	390	370	88	16	1	5	15	95	1	6	1	238	269	327	596	89	303	24	4	266	66	-16	+1	-4	-4	+8	-1.5
2018	35	MLB RAW	3 teams	—	390	367	92	16	1	6	18	90	1	6	1	251	288	349	636	98	313	23	5	283	66	-16	+1	-4	-4	+8	-1.5
2019	36	MLB MLE	2 teams	—	335	304	85	16	1	17	27	76	2	6	1	280	342	507	849	227	319	23	8	367	134	+14	+1	-4	-4	+7	1.4
2019	36	MLB RAW	2 teams	—	335	304	88	17	1	18	27	75	2	6	1	289	351	530	881	240	329	22	8	383	134	+14	+1	-4	-4	+7	1.4
2020	37	MLB MLE	San Francisco Giants	—	56	52	5	0	1	2	3	15	1	0	0	96	161	250	411	154	86	27	5	193	17	-6	+0	-2	-1	+1	-0.7
2020	37	MLB RAW	San Francisco Giants	—	56	52	5	0	1	2	3	15	1	0	0	96	161	250	411	154	86	27	5	186	17	-6	+0	-2	-1	+1	-0.7
2005	22	A MLE	2 teams	—	512	471	130	18	4	25	35	123	1	9	5	276	325	490	816	214	320	24	7	348	122	—	—	—	—	—	—
2006	23	AA MLE	Corpus Christi Hooks	—	592	545	140	28	8	23	39	133	3	17	4	257	311	464	775	207	292	22	7	333	112	—	—	—	—	—	—
2007	24	MLB MLE	2 teams	—	590	551	173	39	10	19	33	114	1	13	5	314	352	525	877	211	364	19	6	381	144	—	—	—	—	—	—
2008	25	MLB MLE	Houston Astros	—	642	595	160	34	4	25	38	124	4	11	10	269	316	466	782	197	301	19	6	342	117	—	—	—	—	—	—
2009	26	MLB MLE	Houston Astros	—	647	584	165	26	5	25	57	109	1	14	11	283	346	473	819	190	308	17	9	360	129	—	—	—	—	—	—
2010	27	MLB MLE	Houston Astros	—	658	614	171	27	3	26	39	105	0	18	9	279	321	459	780	181	304	16	6	342	118	—	—	—	—	—	—
2011	28	MLB MLE	Philadelphia Phillies	—	668	609	189	39	5	21	53	124	1	8	2	310	367	494	861	184	361	19	8	376	140	—	—	—	—	—	—
2012	29	MLB MLE	San Francisco Giants	—	688	622	160	26	4	26	54	145	7	5	2	257	325	437	762	180	290	21	8	335	113	—	—	—	—	—	—
2013	30	MLB MLE	San Francisco Giants	—	687	630	182	35	5	29	49	115	3	22	3	289	342	498	841	210	308	17	7	367	134	—	—	—	—	—	—
2014	31	MLB MLE	San Francisco Giants	—	708	650	184	29	10	22	49	130	3	13	6	283	335	460	795	177	318	18	7	347	121	—	—	—	—	—	—
2015	32	MLB MLE	2 teams	—	243	224	62	13	1	11	17	53	0	4	1	277	326	491	818	214	311	22	7	361	131	—	—	—	—	—	—
2016	33	MLB MLE	2 teams	—	467	420	123	24	1	16	42	99	2	1	1	293	360	469	829	176	347	21	9	367	134	—	—	—	—	—	—
2017	34	MLB MLE	San Francisco Giants	—	539	493	130	13	5	14	39	102	2	2	3	264	320	396	715	132	301	19	7	319	102	—	—	—	—	—	—
2018	35	MLB MLE	3 teams	—	390	371	88	16	1	5	15	95	1	6	1	237	269	326	596	89	302	24	4	266	66	—	—	—	—	—	—
2019	36	MLB MLE	2 teams	—	335	303	85	16	1	17	27	76	2	6	1	281	342	508	851	228	327	23	8	367	134	—	—	—	—	—	—
2020	37	MLB MLE	San Francisco Giants	—	56	52	5	0	1	2	3	15	1	0	0	96	161	250	411	154	86	27	5	193	17	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	7006	6420	1791	324	55	244	520	1335	26	120	55	279	335	461	796	182	317	19	7	350	121	+191	+2	-59	-70	+152	22.1
/ 162G	—	A+C		—	650	596	166	30	5	23	48	124	2	11	5	279	334	461	796	183	316	19	7	350	121	+18	+0	-5	-6	+14	2.0
Career	—	MLE		—	8422	7749	2147	383	68	306	589	1662	32	149	64	277	331	463	793	185	316	20	7	347	121	+191	+2	-59	-70	+152	22.1
/ 162G	—	MLE		—	650	598	166	30	5	24	45	128	2	11	5	278	330	465	795	187	316	20	7	347	121	+18	+0	-5	-6	+14	2.0

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 AAFrisco RoughRiders · 19 PAwOBA .175 → .135 (−41)K% 31.6% → 39.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.58%	÷0.986	×1.220	—	—	39.09%
BB% (unintentional) /PA	5.26%	÷1.032	×0.700	—	×0.940	3.35%
HBP% /PA	0.00%	—	×0.870	—	×0.940	0.00%
Singles /BIP	25.00%	÷0.983	×0.920	—	×0.940	22.00%
Doubles /BIP	0.00%	÷0.960	×0.840	—	×0.940	0.00%
Triples /BIP	0.00%	÷0.900	×0.940	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.208	×0.800	—	×0.940	0.00%

Factors used: league row TL. Park (home-season share, regressed): HR 142, 1B 97, 2B 92, 3B 80, K 97, BB 106 — applied at half strength. Age: age 36 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (11.2 yr older than average).

Result: wOBA .175 → .135; ISO .000 → .000; BABIP .250 → .220. 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 AAASacramento River Cats · 111 PAwOBA .316 → .270 (−46)K% 21.6% → 26.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.62%	÷1.071	×1.290	—	—	26.04%
BB% (unintentional) /PA	5.41%	÷1.043	×0.710	—	×0.940	3.46%
HBP% /PA	0.90%	—	×0.980	—	×0.940	0.83%
Singles /BIP	32.91%	÷0.963	×0.900	×1.050	×0.940	30.35%
Doubles /BIP	5.06%	÷0.910	×0.810	×1.050	×0.940	4.45%
Triples /BIP	0.00%	÷1.150	×0.810	×1.050	×0.940	0.00%
Home runs /BIP	1.27%	÷0.998	×0.780	—	×0.940	0.93%

Factors used: league row PCL. Park (home-season share, regressed): HR 100, 1B 93, 2B 82, 3B 130, K 114, BB 109 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .316 → .270; ISO .068 → .054; BABIP .380 → .347. 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 AAASacramento River Cats · 25 PAwOBA .545 → .411 (−134)K% 12.0% → 15.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.00%	÷1.034	×1.290	—	—	14.97%
BB% (unintentional) /PA	0.00%	÷1.052	×0.710	—	×0.942	0.00%
HBP% /PA	4.00%	—	×0.980	—	×0.942	3.69%
Singles /BIP	23.81%	÷0.960	×0.900	—	×0.942	21.03%
Doubles /BIP	9.52%	÷0.973	×0.810	—	×0.942	7.47%
Triples /BIP	0.00%	÷0.900	×0.810	—	×0.942	0.00%
Home runs /BIP	14.29%	÷1.082	×0.780	—	×0.942	9.70%

Factors used: league row PCL. Park (home-season share, regressed): HR 116, 1B 92, 2B 95, 3B 80, K 107, BB 110 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average).

Result: wOBA .545 → .411; ISO .458 → .310; BABIP .389 → .316. 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).

2015 AAASacramento River Cats · 20 PAwOBA .423 → .344 (−79)K% 20.0% → 24.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷1.047	×1.290	—	—	24.64%
BB% (unintentional) /PA	10.00%	÷0.960	×0.710	—	×0.952	7.04%
HBP% /PA	0.00%	—	×0.980	—	×0.952	0.00%
Singles /BIP	23.08%	÷1.003	×0.900	—	×0.952	19.71%
Doubles /BIP	0.00%	÷1.024	×0.810	—	×0.952	0.00%
Triples /BIP	0.00%	÷0.925	×0.810	—	×0.952	0.00%
Home runs /BIP	15.38%	÷0.982	×0.780	—	×0.952	11.63%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 101, 2B 105, 3B 85, K 109, BB 92 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average).

Result: wOBA .423 → .344; ISO .353 → .281; BABIP .250 → .206. 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).

2007 AAARound Rock Express · 106 PAwOBA .402 → .330 (−72)K% 14.2% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.15%	÷1.000	×1.290	—	—	18.25%
BB% (unintentional) /PA	9.43%	÷1.000	×0.710	—	×1.048	7.02%
HBP% /PA	0.00%	—	×0.980	—	×1.048	0.00%
Singles /BIP	20.00%	÷1.000	×0.900	×0.950	×1.048	17.92%
Doubles /BIP	13.75%	÷1.000	×0.810	×0.950	×1.048	11.09%
Triples /BIP	1.25%	÷1.000	×0.810	×0.950	×1.048	1.01%
Home runs /BIP	3.75%	÷1.000	×0.780	—	×1.048	3.07%

Factors used: league row PCL. 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 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 ×0.950.

Result: wOBA .402 → .330; ISO .232 → .186; BABIP .359 → .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).

2006 AACorpus Christi Hooks · 592 PAwOBA .378 → .333 (−46)K% 18.4% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.41%	÷1.000	×1.220	—	—	22.46%
BB% (unintentional) /PA	9.12%	÷1.000	×0.700	—	×1.027	6.56%
HBP% /PA	0.51%	—	×0.870	—	×1.027	0.45%
Singles /BIP	20.05%	÷1.000	×0.920	×1.023	×1.027	19.38%
Doubles /BIP	7.49%	÷1.000	×0.840	×1.023	×1.027	6.61%
Triples /BIP	1.93%	÷1.000	×0.940	×1.023	×1.027	1.91%
Home runs /BIP	6.76%	÷1.000	×0.800	—	×1.027	5.56%

Factors used: league row TL. 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 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.

Result: wOBA .378 → .333; ISO .250 → .216; BABIP .312 → .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).

2005 ALexington Legends · 341 PAwOBA .444 → .366 (−78)K% 15.5% → 20.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.54%	÷1.000	×1.340	—	—	20.83%
BB% (unintentional) /PA	10.56%	÷1.000	×0.660	—	—	6.97%
HBP% /PA	0.29%	—	×0.770	—	—	0.23%
Singles /BIP	24.10%	÷1.000	×0.920	×1.006	—	22.30%
Doubles /BIP	5.62%	÷1.000	×0.820	×1.006	—	4.64%
Triples /BIP	1.20%	÷1.000	×0.940	×1.006	—	1.14%
Home runs /BIP	10.04%	÷1.000	×0.820	—	—	8.23%

Factors used: league row SAL. 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 ×1.006.

Result: wOBA .444 → .366; ISO .315 → .257; BABIP .344 → .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).

2005 A+Salem Avalanche · 171 PAwOBA .374 → .312 (−62)K% 21.6% → 30.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.64%	÷1.000	×1.420	—	—	30.73%
BB% (unintentional) /PA	10.53%	÷1.000	×0.630	—	×1.012	6.71%
HBP% /PA	0.00%	—	×0.860	—	×1.012	0.00%
Singles /BIP	27.19%	÷1.000	×0.940	×1.036	×1.012	26.81%
Doubles /BIP	7.02%	÷1.000	×0.830	×1.036	×1.012	6.11%
Triples /BIP	0.88%	÷1.000	×0.800	×1.036	×1.012	0.74%
Home runs /BIP	5.26%	÷1.000	×0.900	—	×1.012	4.79%

Factors used: league row CAR. 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 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.036.

Result: wOBA .374 → .312; ISO .185 → .156; BABIP .364 → .347. 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 — .