Jayson Werth

PosRF

B/TR/R

Born1979-05-20

Age (2027)48

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	37	MLBWSH	606	.244/.338/.417	21	5	113	1.1
2017	38	MLBWSH	289	.226/.323/.393	10	4	103	-0.1
2018	39	AAASEA	145	.206/.301/.389	4	0	42	—	.159/.224/.295
2019	40	No MLB games played
2020	41	No MLB games played
2021	42	No MLB games played
2022	43	No MLB games played
2023	44	No MLB games played
2024	45	No MLB games played
2025	46	No MLB games played
2026	47	No MLB games played

Last 3 seasons WAR 1.0

Contract

No contract data on file.

Skills · percentileStatcast 2015-2017

xwOBA72

Avg EV66

Barrel%47

Speed12

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)
2002	23	MLB	Toronto Blue Jays	—	53	46	12	2	1	0	6	11	0	1	0	261	346	348	694	87	333	21	11	312	97	-0	+0	+0	-1	+1	0.1
2003	24	MLB	Toronto Blue Jays	—	51	48	10	4	0	2	3	22	0	1	0	208	255	417	672	208	333	43	6	294	85	-1	+0	+2	-1	+1	0.1
2004	25	MLB	Los Angeles Dodgers	—	326	290	76	11	3	16	30	85	4	4	1	262	340	486	826	224	316	26	9	361	131	+12	+0	+3	-3	+7	1.9
2005	26	MLB	Los Angeles Dodgers	—	395	337	79	22	2	7	48	114	6	11	2	234	340	374	714	139	329	29	12	322	102	+1	+1	+1	-5	+9	0.7
2005	26	AAA	Las Vegas 51s	—	64	49	18	0	0	3	13	17	2	6	1	367	516	551	1.067	184	517	27	20	474	141	—	—	—	—	—	—
2007	28	MLB	Philadelphia Phillies	—	304	255	76	11	3	8	44	73	2	7	1	298	405	459	864	161	389	24	14	384	144	+16	+1	+10	-3	+7	3.1
2007	28	A+	Clearwater Threshers	—	15	13	1	0	0	0	2	4	0	0	0	77	200	77	277		111	27	13	153	-39	—	—	—	—	—	—
2008	29	MLB	Philadelphia Phillies	—	482	418	114	16	3	24	57	119	4	20	1	273	365	498	863	225	324	25	12	378	141	+24	+4	+14	-5	+10	4.8
2009	30	MLB	Philadelphia Phillies	—	676	571	153	26	1	36	91	156	8	20	3	268	376	506	882	238	304	23	13	386	142	+33	+3	-3	-7	+15	4.2
2010	31	MLB	Philadelphia Phillies	—	652	554	164	46	2	27	82	147	7	13	3	296	393	532	926	236	352	23	13	401	150	+39	+1	-13	-7	+14	3.6
2011	32	MLB	Washington Nationals	—	649	561	130	26	1	20	74	160	10	19	3	232	332	389	720	157	286	25	11	325	102	+2	+3	-3	-7	+14	0.9
2012	33	MLB	Washington Nationals	—	344	300	90	21	3	5	42	57	1	8	2	300	388	440	828	140	356	17	12	371	135	+14	+1	-10	-4	+7	0.9
2012	33	AAA	Syracuse Chiefs	—	27	21	5	2	0	0	6	5	0	0	0	238	407	333	741	95	312	19	22	351	67	—	—	—	—	—	—
2013	34	MLB	Washington Nationals	—	532	462	147	24	0	25	60	101	5	10	1	318	402	532	935	214	358	19	11	408	159	+37	+2	-12	-6	+12	3.4
2013	34	A+	Potomac Nationals	—	20	18	10	1	0	2	2	0	0	0	0	556	600	944	1.544	389	500	0	10	659	263	—	—	—	—	—	—
2014	35	MLB	Washington Nationals	—	629	534	156	37	1	16	83	113	9	9	1	292	396	455	851	163	343	18	13	380	141	+31	+1	-6	-7	+14	3.4
2015	36	MLB	Washington Nationals	—	378	331	73	16	1	12	38	84	3	0	1	221	306	384	690	163	253	22	10	306	93	-3	-0	-8	-5	+8	-0.8
2015	36	AAA	Syracuse Chiefs	—	26	23	9	2	0	0	1	2	1	1	0	391	440	478	918	87	409	8	4	398	119	—	—	—	—	—	—
2015	36	A+	Potomac Nationals	—	17	13	3	0	0	1	4	3	0	0	0	231	412	462	873	231	222	18	24	393	91	—	—	—	—	—	—
2016	37	MLB	Washington Nationals	—	606	525	128	28	0	21	71	139	4	5	1	244	338	417	755	173	288	23	12	336	113	+9	+1	-6	-6	+13	1.1
2017	38	MLB	Washington Nationals	—	289	252	57	10	1	10	35	69	1	4	3	226	323	393	716	167	270	24	12	322	103	+1	-0	-5	-3	+6	-0.1
2018	39	AAA	Tacoma Rainiers	—	145	126	26	11	0	4	15	33	2	0	0	206	301	389	690	183	242	23	10	306	42	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	6366	5484	1465	300	22	229	764	1450	64	132	23	267	363	455	818	188	321	23	12	362	131	+236	+17	-34	-70	+138	29.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2002	23	MLB MLE	Toronto Blue Jays	—	53	46	12	2	1	0	6	11	0	1	0	261	346	348	694	87	333	21	11	312	97	-0	+0	+0	-1	+1	0.1
2003	24	MLB MLE	Toronto Blue Jays	—	51	48	10	4	0	2	3	22	0	1	0	208	255	417	672	208	333	43	6	294	85	-1	+0	+2	-1	+1	0.1
2004	25	MLB MLE	Los Angeles Dodgers	—	326	290	76	11	3	16	30	85	4	4	1	262	340	486	826	224	316	26	9	361	131	+12	+0	+3	-3	+7	1.9
2005	26	MLB MLE	Los Angeles Dodgers	—	395	339	79	22	2	7	46	114	6	11	2	233	335	372	707	139	329	29	12	319	102	+1	+1	+1	-5	+9	0.7
2005	26	AAA MLE	Las Vegas 51s	—	64	53	15	0	0	2	9	22	2	6	1	283	406	396	802	113	464	34	14	376	141	—	—	—	—	—	—
2007	28	MLB MLE	Philadelphia Phillies	—	304	256	76	11	3	8	43	73	2	7	1	297	402	457	859	160	389	24	14	381	144	+16	+1	+10	-3	+7	3.1
2007	28	A+ MLE	Clearwater Threshers	—	15	14	1	0	0	0	1	6	0	0	0	71	133	71	205		97	40	7	110	-39	—	—	—	—	—	—
2008	29	MLB MLE	Philadelphia Phillies	—	482	419	114	16	3	24	56	119	4	20	1	272	363	496	860	224	324	25	12	377	141	+24	+4	+14	-5	+10	4.8
2009	30	MLB MLE	Philadelphia Phillies	—	676	579	153	26	1	36	83	156	8	20	3	264	364	499	863	235	304	23	12	377	142	+33	+3	-3	-7	+15	4.2
2010	31	MLB MLE	Philadelphia Phillies	—	652	560	163	47	2	25	76	147	7	13	3	291	383	516	899	225	352	23	12	390	150	+39	+1	-13	-7	+14	3.6
2011	32	MLB MLE	Washington Nationals	—	649	566	130	26	1	20	69	160	10	19	3	230	324	385	709	155	286	25	11	319	102	+2	+3	-3	-7	+14	0.9
2012	33	MLB MLE	Washington Nationals	—	344	302	91	21	4	5	40	57	1	8	2	301	385	447	832	146	356	17	12	368	135	+14	+1	-10	-4	+7	0.9
2012	33	AAA MLE	Syracuse Chiefs	—	27	24	5	2	0	0	3	6	0	0	0	208	296	292	588	83	263	22	11	267	67	—	—	—	—	—	—
2013	34	MLB MLE	Washington Nationals	—	532	465	147	24	0	25	57	101	5	10	1	316	397	529	926	213	358	19	11	403	159	+37	+2	-12	-6	+12	3.4
2013	34	A+ MLE	Potomac Nationals	—	20	19	9	1	0	2	1	0	0	0	0	474	500	842	1.342	368	419	0	5	557	263	—	—	—	—	—	—
2014	35	MLB MLE	Washington Nationals	—	629	537	155	36	1	16	80	113	9	9	1	289	390	449	839	160	343	18	13	376	141	+31	+1	-6	-7	+14	3.4
2015	36	MLB MLE	Washington Nationals	—	378	331	73	16	1	12	38	84	3	0	1	221	306	384	690	163	253	22	10	306	93	-3	-0	-8	-5	+8	-0.8
2015	36	AAA MLE	Syracuse Chiefs	—	26	23	8	2	0	0	1	2	1	1	0	348	400	435	835	87	341	8	4	344	119	—	—	—	—	—	—
2015	36	A+ MLE	Potomac Nationals	—	17	15	3	0	0	1	2	4	0	0	0	200	294	400	694	200	189	24	12	303	91	—	—	—	—	—	—
2016	37	MLB MLE	Washington Nationals	—	606	525	128	28	0	21	71	139	4	5	1	244	338	417	755	173	288	23	12	335	113	+9	+1	-6	-6	+13	1.1
2017	38	MLB MLE	Washington Nationals	—	289	253	57	10	1	10	34	69	1	4	3	225	319	391	711	166	270	24	12	320	103	+1	-0	-5	-3	+6	-0.1
2018	39	AAA MLE	Tacoma Rainiers	—	145	132	21	9	0	3	9	41	2	0	0	159	224	295	519	136	194	28	6	230	42	—	—	—	—	—	—
2002	23	MLB MLE	Toronto Blue Jays	—	53	46	12	2	1	0	6	11	0	1	0	261	346	348	694	87	333	21	11	312	97	-0	+0	+0	-1	+1	0.1
2002	23	MLB RAW	Toronto Blue Jays	—	53	46	12	2	1	0	6	11	0	1	0	261	346	348	694	87	333	21	11	312	97	-0	+0	+0	-1	+1	0.1
2003	24	MLB MLE	Toronto Blue Jays	—	51	48	10	4	0	2	3	22	0	1	0	208	255	417	672	208	333	43	6	294	85	-1	+0	+2	-1	+1	0.1
2003	24	MLB RAW	Toronto Blue Jays	—	51	48	10	4	0	2	3	22	0	1	0	208	255	417	672	208	333	43	6	294	85	-1	+0	+2	-1	+1	0.1
2004	25	MLB MLE	Los Angeles Dodgers	—	326	290	76	11	3	16	30	85	4	4	1	262	340	486	826	224	316	26	9	361	131	+12	+0	+3	-3	+7	1.9
2004	25	MLB RAW	Los Angeles Dodgers	—	326	290	76	11	3	16	30	85	4	4	1	262	340	486	826	224	316	26	9	361	131	+12	+0	+3	-3	+7	1.9
2005	26	MLB MLE	2 teams	—	459	392	94	22	2	9	55	136	8	17	3	240	345	375	720	135	340	30	12	327	107	+4	+2	+1	-5	+10	1.3
2005	26	MLB RAW	2 teams	—	459	386	97	22	2	10	61	131	8	17	3	251	365	396	761	145	351	29	13	344	107	+4	+2	+1	-5	+10	1.3
2007	28	MLB MLE	2 teams	—	319	270	77	11	3	8	44	79	2	7	1	285	389	437	826	152	375	25	14	369	136	+14	+1	+10	-3	+7	2.9
2007	28	MLB RAW	2 teams	—	319	268	77	11	3	8	46	77	2	7	1	287	396	440	836	153	375	24	14	373	136	+14	+1	+10	-3	+7	2.9
2008	29	MLB MLE	Philadelphia Phillies	—	482	419	114	16	3	24	56	119	4	20	1	272	363	496	860	224	323	25	12	377	141	+24	+4	+14	-5	+10	4.8
2008	29	MLB RAW	Philadelphia Phillies	—	482	418	114	16	3	24	57	119	4	20	1	273	365	498	863	225	324	25	12	378	141	+24	+4	+14	-5	+10	4.8
2009	30	MLB MLE	Philadelphia Phillies	—	676	579	153	26	1	36	83	156	8	20	3	264	364	499	863	235	298	23	12	377	142	+33	+3	-3	-7	+15	4.2
2009	30	MLB RAW	Philadelphia Phillies	—	676	571	153	26	1	36	91	156	8	20	3	268	376	506	882	238	304	23	13	386	142	+33	+3	-3	-7	+15	4.2
2010	31	MLB MLE	Philadelphia Phillies	—	652	560	163	47	2	25	76	147	7	13	3	291	383	516	899	225	348	23	12	390	150	+39	+1	-13	-7	+14	3.6
2010	31	MLB RAW	Philadelphia Phillies	—	652	554	164	46	2	27	82	147	7	13	3	296	393	532	926	236	352	23	13	401	150	+39	+1	-13	-7	+14	3.6
2011	32	MLB MLE	Washington Nationals	—	649	566	130	26	1	20	69	160	10	19	3	230	324	385	709	155	282	25	11	319	102	+2	+3	-3	-7	+14	0.9
2011	32	MLB RAW	Washington Nationals	—	649	561	130	26	1	20	74	160	10	19	3	232	332	389	720	157	286	25	11	325	102	+2	+3	-3	-7	+14	0.9
2012	33	MLB MLE	2 teams	—	371	326	95	22	4	5	43	63	1	8	2	291	376	429	805	138	347	17	12	361	130	+13	+1	-10	-4	+8	0.8
2012	33	MLB RAW	2 teams	—	371	321	95	23	3	5	48	62	1	8	2	296	389	433	822	137	353	17	13	369	130	+13	+1	-10	-4	+8	0.8
2013	34	MLB MLE	2 teams	—	552	484	155	24	0	27	58	101	5	10	1	320	399	537	936	217	355	18	11	409	163	+41	+2	-12	-6	+12	3.8
2013	34	MLB RAW	2 teams	—	552	480	157	25	0	27	62	101	5	10	1	327	410	548	957	221	364	18	11	417	163	+41	+2	-12	-6	+12	3.8
2014	35	MLB MLE	Washington Nationals	—	629	537	155	36	1	16	80	113	9	9	1	289	390	449	839	160	338	18	13	376	141	+31	+1	-6	-7	+14	3.4
2014	35	MLB RAW	Washington Nationals	—	629	534	156	37	1	16	83	113	9	9	1	292	396	455	851	163	343	18	13	380	141	+31	+1	-6	-7	+14	3.4
2015	36	MLB MLE	3 teams	—	421	369	83	17	1	13	41	91	4	1	1	225	309	382	691	157	257	22	10	308	95	-3	-0	-8	-5	+9	-0.6
2015	36	MLB RAW	3 teams	—	421	367	85	18	1	13	43	89	4	1	1	232	319	392	711	161	265	21	10	315	95	-3	-0	-8	-5	+9	-0.6
2016	37	MLB MLE	Washington Nationals	—	606	525	128	28	0	21	71	139	4	5	1	244	338	417	755	173	288	23	12	335	113	+9	+1	-6	-6	+13	1.1
2016	37	MLB RAW	Washington Nationals	—	606	525	128	28	0	21	71	139	4	5	1	244	338	417	755	173	288	23	12	336	113	+9	+1	-6	-6	+13	1.1
2017	38	MLB MLE	Washington Nationals	—	289	253	57	10	1	10	34	69	1	4	3	225	319	391	711	166	269	24	12	320	103	+1	-0	-5	-3	+6	-0.1
2017	38	MLB RAW	Washington Nationals	—	289	252	57	10	1	10	35	69	1	4	3	226	323	393	716	167	270	24	12	322	103	+1	-0	-5	-3	+6	-0.1
2018	39	AAA MLE	Tacoma Rainiers	—	145	132	21	9	0	3	9	41	2	0	0	159	224	295	519	136	200	28	6	230	42	—	—	—	—	—	—
2018	39	AAA RAW	Tacoma Rainiers	—	145	126	26	11	0	4	15	33	2	0	0	206	301	389	690	183	242	23	10	306	42	—	—	—	—	—	—
2002	23	MLB MLE	Toronto Blue Jays	—	53	47	12	2	1	0	6	11	0	1	0	255	346	340	687	85	333	21	11	312	97	—	—	—	—	—	—
2003	24	MLB MLE	Toronto Blue Jays	—	51	48	10	4	0	2	3	22	0	1	0	208	255	417	672	208	333	43	6	294	85	—	—	—	—	—	—
2004	25	MLB MLE	Los Angeles Dodgers	—	326	289	76	11	3	16	30	85	4	4	1	263	340	488	827	225	316	26	9	361	131	—	—	—	—	—	—
2005	26	MLB MLE	2 teams	—	459	393	94	22	2	9	55	136	8	17	3	239	345	374	719	135	348	30	12	327	107	—	—	—	—	—	—
2007	28	MLB MLE	2 teams	—	319	270	77	11	3	8	44	79	2	7	1	285	389	437	826	152	375	25	14	369	136	—	—	—	—	—	—
2008	29	MLB MLE	Philadelphia Phillies	—	482	419	114	16	3	24	56	119	4	20	1	272	363	496	860	224	324	25	12	377	141	—	—	—	—	—	—
2009	30	MLB MLE	Philadelphia Phillies	—	676	580	153	26	1	36	83	156	8	20	3	264	364	498	862	234	304	23	12	377	142	—	—	—	—	—	—
2010	31	MLB MLE	Philadelphia Phillies	—	652	564	163	47	2	25	76	147	7	13	3	289	383	512	895	223	352	23	12	390	150	—	—	—	—	—	—
2011	32	MLB MLE	Washington Nationals	—	649	565	130	26	1	20	69	160	10	19	3	230	324	386	710	156	286	25	11	319	102	—	—	—	—	—	—
2012	33	MLB MLE	2 teams	—	371	324	95	22	4	5	43	63	1	8	2	293	376	432	808	139	349	17	12	361	130	—	—	—	—	—	—
2013	34	MLB MLE	2 teams	—	552	484	155	24	0	27	58	101	5	10	1	320	399	537	936	217	360	18	11	409	163	—	—	—	—	—	—
2014	35	MLB MLE	Washington Nationals	—	629	535	155	36	1	16	80	113	9	9	1	290	390	450	840	161	343	18	13	376	141	—	—	—	—	—	—
2015	36	MLB MLE	3 teams	—	421	373	83	17	1	13	41	91	4	1	1	223	309	378	687	155	256	22	10	308	95	—	—	—	—	—	—
2016	37	MLB MLE	Washington Nationals	—	606	526	128	28	0	21	71	139	4	5	1	243	338	416	755	173	288	23	12	335	113	—	—	—	—	—	—
2017	38	MLB MLE	Washington Nationals	—	289	252	57	10	1	10	34	69	1	4	3	226	319	393	712	167	270	24	12	320	103	—	—	—	—	—	—
2018	39	AAA MLE	Tacoma Rainiers	—	145	133	21	9	0	3	9	41	2	0	0	158	224	293	517	135	194	28	6	230	42	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	6366	5484	1465	300	22	229	764	1450	64	132	23	267	363	455	818	188	321	23	12	362	126	+236	+17	-34	-70	+138	29.3
/ 162G	—	A+C		—	650	560	149	31	2	23	78	148	7	13	2	266	363	452	815	186	320	23	12	362	126	+24	+2	-3	-7	+14	3.0
Career	—	MLE		—	6680	5796	1523	311	23	235	758	1532	69	139	24	263	355	446	801	183	316	23	11	355	126	+236	+17	-34	-70	+138	29.3
/ 162G	—	MLE		—	650	564	148	30	2	23	74	149	7	14	2	262	355	445	800	183	315	23	11	355	126	+24	+2	-3	-7	+14	3.0

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.

2018 AAATacoma Rainiers · 145 PAwOBA .302 → .230 (−72)K% 22.8% → 28.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.76%	÷1.031	×1.290	—	—	28.47%
BB% (unintentional) /PA	10.34%	÷1.103	×0.710	—	×0.940	6.26%
HBP% /PA	1.38%	—	×0.980	—	×0.940	1.27%
Singles /BIP	11.83%	÷1.006	×0.900	×0.950	×0.940	9.45%
Doubles /BIP	11.83%	÷0.885	×0.810	×0.950	×0.940	9.67%
Triples /BIP	0.00%	÷0.900	×0.810	×0.950	×0.940	0.00%
Home runs /BIP	4.30%	÷0.918	×0.780	—	×0.940	3.43%

Factors used: league row PCL. Park (home-season share, regressed): HR 84, 1B 101, 2B 77, 3B 80, K 106, BB 121 — applied at half strength. Age: age 39 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (11.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .302 → .230; ISO .183 → .147; BABIP .242 → .194. 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 AAASyracuse Chiefs · 26 PAwOBA .402 → .344 (−58)K% 7.7% → 8.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.69%	÷1.043	×1.200	—	—	8.85%
BB% (unintentional) /PA	3.85%	÷0.938	×0.690	—	×0.940	2.66%
HBP% /PA	3.85%	—	×0.940	—	×0.940	3.40%
Singles /BIP	33.33%	÷1.010	×0.930	—	×0.940	28.85%
Doubles /BIP	9.52%	÷1.088	×0.830	—	×0.940	6.83%
Triples /BIP	0.00%	÷0.947	×0.970	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.183	×0.840	—	×0.940	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 137, 1B 102, 2B 118, 3B 89, K 109, BB 88 — 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 .402 → .344; ISO .087 → .066; BABIP .409 → .341. 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 A+Potomac Nationals · 17 PAwOBA .384 → .303 (−81)K% 17.6% → 24.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.65%	÷1.006	×1.420	—	—	24.90%
BB% (unintentional) /PA	23.53%	÷1.022	×0.630	—	×0.940	13.64%
HBP% /PA	0.00%	—	×0.860	—	×0.940	0.00%
Singles /BIP	20.00%	÷1.030	×0.940	—	×0.940	17.15%
Doubles /BIP	0.00%	÷1.016	×0.830	—	×0.940	0.00%
Triples /BIP	0.00%	÷0.937	×0.800	—	×0.940	0.00%
Home runs /BIP	10.00%	÷0.900	×0.900	—	×0.940	9.40%

Factors used: league row CAR. Park (home-season share, regressed): HR 80, 1B 106, 2B 103, 3B 87, K 101, BB 104 — applied at half strength. Age: age 36 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (13.2 yr older than average).

Result: wOBA .384 → .303; ISO .231 → .227; BABIP .222 → .189. 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).

2013 A+Potomac Nationals · 20 PAwOBA .640 → .557 (−82)K% 0.0% → 0.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	0.00%	÷0.932	×1.420	—	—	0.00%
BB% (unintentional) /PA	10.00%	÷0.991	×0.630	—	×0.940	5.97%
HBP% /PA	0.00%	—	×0.860	—	×0.940	0.00%
Singles /BIP	38.89%	÷1.031	×0.940	—	×0.940	33.34%
Doubles /BIP	5.56%	÷0.992	×0.830	—	×0.940	4.37%
Triples /BIP	0.00%	÷1.150	×0.800	—	×0.940	0.00%
Home runs /BIP	11.11%	÷0.936	×0.900	—	×0.940	10.04%

Factors used: league row CAR. Park (home-season share, regressed): HR 87, 1B 106, 2B 98, 3B 130, K 86, BB 98 — applied at half strength. Age: age 34 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (11.2 yr older than average).

Result: wOBA .640 → .557; ISO .389 → .360; BABIP .500 → .419. 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 AAASyracuse Chiefs · 27 PAwOBA .330 → .267 (−63)K% 18.5% → 23.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.52%	÷0.964	×1.200	—	—	23.05%
BB% (unintentional) /PA	18.52%	÷0.984	×0.690	—	×0.942	12.23%
HBP% /PA	0.00%	—	×0.940	—	×0.942	0.00%
Singles /BIP	18.75%	÷0.992	×0.930	—	×0.942	16.56%
Doubles /BIP	12.50%	÷1.002	×0.830	—	×0.942	9.75%
Triples /BIP	0.00%	÷1.008	×0.970	—	×0.942	0.00%
Home runs /BIP	0.00%	÷0.925	×0.840	—	×0.942	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 85, 1B 98, 2B 100, 3B 102, K 93, BB 97 — 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 .330 → .267; ISO .095 → .081; BABIP .312 → .263. 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 A+Clearwater Threshers · 15 PAwOBA .151 → .110 (−40)K% 26.7% → 37.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.67%	÷1.000	×1.420	—	—	37.87%
BB% (unintentional) /PA	13.33%	÷1.000	×0.750	—	×0.948	9.48%
HBP% /PA	0.00%	—	×0.930	—	×0.948	0.00%
Singles /BIP	11.11%	÷1.000	×0.920	—	×0.948	9.69%
Doubles /BIP	0.00%	÷1.000	×0.960	—	×0.948	0.00%
Triples /BIP	0.00%	÷1.000	×0.810	—	×0.948	0.00%
Home runs /BIP	0.00%	÷1.000	×0.880	—	×0.948	0.00%

Factors used: league row FSL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 28 vs a level average of 22.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average).

Result: wOBA .151 → .110; ISO .000 → .000; BABIP .111 → .097. 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 AAALas Vegas 51s · 64 PAwOBA .463 → .376 (−86)K% 26.6% → 34.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.56%	÷1.000	×1.290	—	—	34.27%
BB% (unintentional) /PA	20.31%	÷1.000	×0.710	—	×1.018	14.68%
HBP% /PA	3.12%	—	×0.980	—	×1.018	3.12%
Singles /BIP	46.88%	÷1.000	×0.900	—	×1.018	42.95%
Doubles /BIP	0.00%	÷1.000	×0.810	—	×1.018	0.00%
Triples /BIP	0.00%	÷1.000	×0.810	—	×1.018	0.00%
Home runs /BIP	9.38%	÷1.000	×0.780	—	×1.018	7.44%

Factors used: league row PCL. 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).

Result: wOBA .463 → .376; ISO .184 → .140; BABIP .517 → .464. 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).