Ryan Zimmerman

Pos3B

B/TR/R

Born1984-09-28

Age (2027)42

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2021

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2018	33	MLBWSH	323	.264/.340/.486	13	1	129	1.1
2019	34	AA/A+2 orgs	49	.317/.417/.390	0	0	93	—	.297/.356/.366
2019	34	MLBWSH	190	.257/.324/.415	6	0	107	-0.0
2021	36	MLBWSH	273	.243/.288/.471	14	0	108	0.1
2022	37	No MLB games played
2023	38	No MLB games played
2024	39	No MLB games played
2025	40	No MLB games played
2026	41	No MLB games played

Last 3 seasons WAR 1.2

Contract

No contract data on file.

Skills · percentileStatcast 2018-2021

Avg EV90

xwOBA72

Barrel%69

Speed32

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	20	MLB	Washington Nationals	—	62	58	23	10	0	0	3	12	0	0	0	397	426	569	995	172	489	19	5	431	178	+6	+0	-1	+1	+1	0.8
2005	20	AA	Harrisburg Senators	—	252	233	76	20	0	9	15	34	2	1	5	326	372	528	900	202	351	13	6	392	130	—	—	—	—	—	—
2005	20	A	Savannah Sand Gnats	—	17	17	8	2	1	2	0	3	0	0	1	471	471	1.059	1.529	588	500	18	0	651	232	—	—	—	—	—	—
2006	21	MLB	Washington Nationals	—	682	614	176	47	3	20	61	120	2	11	8	287	353	471	824	184	326	18	9	362	126	+21	-1	+6	+2	+15	4.4
2007	22	MLB	Washington Nationals	—	722	653	174	43	5	24	61	125	3	4	1	266	332	458	790	191	295	17	8	347	119	+16	+0	+18	+3	+16	5.4
2008	23	MLB	Washington Nationals	—	466	428	121	24	1	14	31	71	3	1	1	283	335	442	777	159	308	15	7	343	117	+9	-0	+4	+2	+10	2.6
2008	23	AAA	Columbus Clippers	—	17	15	4	1	0	1	2	3	0	0	0	267	353	533	886	267	273	18	12	386	111	—	—	—	—	—	—
2009	24	MLB	Washington Nationals	—	694	610	178	37	3	33	72	119	2	2	0	292	368	525	892	233	310	17	10	386	141	+34	+0	+14	+2	+15	6.7
2010	25	MLB	Washington Nationals	—	603	525	161	32	0	25	69	98	4	4	1	307	391	510	902	204	334	16	11	395	148	+35	+0	+16	+2	+13	6.7
2011	26	MLB	Washington Nationals	—	440	395	114	21	2	12	41	73	1	3	1	289	357	443	800	154	326	17	9	355	122	+12	+0	-1	+2	+10	2.2
2012	27	MLB	Washington Nationals	—	641	578	163	36	1	25	57	116	2	5	2	282	349	478	826	196	313	18	9	363	125	+19	+0	+2	+2	+14	3.8
2013	28	MLB	Washington Nationals	—	633	568	156	26	2	26	60	133	2	6	0	275	346	465	811	190	316	21	9	358	127	+20	+1	-11	+2	+14	2.7
2014	29	MLB	Washington Nationals	—	240	214	60	19	1	5	22	37	0	0	0	280	347	449	796	168	312	15	9	348	121	+6	+0	-1	-3	+5	0.7
2014	29	A+	Potomac Nationals	—	15	14	5	1	0	0	0	1	0	0	1	357	357	429	786	71	357	7	0	327	88	—	—	—	—	—	—
2015	30	MLB	Washington Nationals	—	390	346	86	25	1	16	33	79	1	1	0	249	316	465	781	217	268	20	8	335	112	+6	+0	-7	-7	+8	0.0
2015	30	AA	Harrisburg Senators	—	15	15	1	0	0	0	0	3	0	0	0	67	67	67	133		83	20	0	60	-78	—	—	—	—	—	—
2016	31	MLB	Washington Nationals	—	467	427	93	18	1	15	29	104	5	4	1	218	275	370	646	152	248	22	6	285	78	-12	+0	-0	-8	+10	-1.0
2017	32	MLB	Washington Nationals	—	576	524	159	33	0	36	44	126	3	1	0	303	361	573	933	269	335	22	8	402	157	+39	+0	-9	-10	+12	3.3
2018	33	MLB	Washington Nationals	—	323	288	76	21	2	13	30	55	3	1	1	264	340	486	826	222	284	17	9	361	129	+11	-0	-1	-6	+7	1.1
2019	34	MLB	Washington Nationals	—	190	171	44	9	0	6	17	39	0	0	0	257	324	415	740	158	297	21	9	327	107	+2	+0	-2	-4	+4	-0.0
2019	34	AA	Harrisburg Senators	—	23	20	4	0	0	0	2	2	1	0	0	200	304	200	504		222	9	9	250	26	—	—	—	—	—	—
2019	34	A+	Potomac Nationals	—	26	21	9	3	0	0	4	4	0	0	0	429	520	571	1.091	143	500	15	15	464	152	—	—	—	—	—	—
2021	36	MLB	Washington Nationals	—	273	255	62	16	0	14	16	77	0	0	0	243	288	471	758	227	289	28	6	329	108	+3	+0	-3	-5	+6	0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	7402	6654	1846	417	22	284	646	1384	31	43	16	277	344	475	819	197	309	19	9	358	129	+252	+2	+25	-25	+160	42.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	20	MLB MLE	Washington Nationals	—	62	58	23	10	0	0	3	12	0	0	0	397	426	569	995	172	489	19	5	431	178	+6	+0	-1	+1	+1	0.8
2005	20	AA MLE	Harrisburg Senators	—	252	239	76	19	0	7	9	42	2	1	5	318	348	485	833	167	356	17	4	361	130	—	—	—	—	—	—
2005	20	A MLE	Savannah Sand Gnats	—	17	17	8	2	1	2	0	4	0	0	1	471	471	1.059	1.529	588	439	24	0	511	232	—	—	—	—	—	—
2006	21	MLB MLE	Washington Nationals	—	682	621	176	47	3	20	54	120	2	11	8	283	343	465	808	182	326	18	8	355	126	+21	-1	+6	+2	+15	4.4
2007	22	MLB MLE	Washington Nationals	—	722	656	174	43	5	24	58	125	3	4	1	265	328	456	784	191	295	17	8	344	119	+16	+0	+18	+3	+16	5.4
2008	23	MLB MLE	Washington Nationals	—	466	429	121	24	1	14	30	71	3	1	1	282	333	441	774	159	308	15	6	341	117	+9	-0	+4	+2	+10	2.6
2008	23	AAA MLE	Columbus Clippers	—	17	16	4	1	0	1	1	4	0	0	0	250	294	500	794	250	254	24	6	332	111	—	—	—	—	—	—
2009	24	MLB MLE	Washington Nationals	—	694	620	178	37	3	33	63	119	2	2	0	287	355	516	871	229	310	17	9	377	141	+34	+0	+14	+2	+15	6.7
2010	25	MLB MLE	Washington Nationals	—	603	531	160	31	0	25	63	98	4	4	1	301	380	501	881	200	334	16	10	387	148	+35	+0	+16	+2	+13	6.7
2011	26	MLB MLE	Washington Nationals	—	440	399	114	21	2	12	37	73	1	3	1	286	348	439	786	153	326	17	8	349	122	+12	+0	-1	+2	+10	2.2
2012	27	MLB MLE	Washington Nationals	—	641	586	162	35	1	25	49	116	2	5	2	276	334	468	802	191	313	18	8	353	125	+19	+0	+2	+2	+14	3.8
2013	28	MLB MLE	Washington Nationals	—	633	570	156	26	2	26	58	133	2	6	0	274	343	463	806	189	316	21	9	356	127	+20	+1	-11	+2	+14	2.7
2014	29	MLB MLE	Washington Nationals	—	240	214	60	19	1	5	22	37	0	0	0	280	347	449	796	168	312	15	9	347	121	+6	+0	-1	-3	+5	0.7
2014	29	A+ MLE	Potomac Nationals	—	15	14	5	1	0	0	0	1	0	0	1	357	357	429	786	71	304	7	0	299	88	—	—	—	—	—	—
2015	30	MLB MLE	Washington Nationals	—	390	346	86	25	1	16	33	79	1	1	0	249	316	465	781	217	268	20	8	334	112	+6	+0	-7	-7	+8	0.0
2015	30	AA MLE	Harrisburg Senators	—	15	15	1	0	0	0	0	4	0	0	0	67	67	67	133		79	27	0	53	-78	—	—	—	—	—	—
2016	31	MLB MLE	Washington Nationals	—	467	428	93	18	1	15	28	104	5	4	1	217	273	369	642	152	248	22	6	284	78	-12	+0	-0	-8	+10	-1.0
2017	32	MLB MLE	Washington Nationals	—	576	525	158	32	0	36	43	126	3	1	0	301	357	568	925	267	335	22	7	400	157	+39	+0	-9	-10	+12	3.3
2018	33	MLB MLE	Washington Nationals	—	323	289	76	21	2	13	29	55	3	1	1	263	336	484	821	221	284	17	9	360	129	+11	-0	-1	-6	+7	1.1
2019	34	MLB MLE	Washington Nationals	—	190	171	44	9	0	6	17	39	0	0	0	257	324	415	740	158	297	21	9	326	107	+2	+0	-2	-4	+4	-0.0
2019	34	AA MLE	Harrisburg Senators	—	23	21	4	0	0	0	1	2	1	0	0	190	261	190	451		204	9	4	207	26	—	—	—	—	—	—
2019	34	A+ MLE	Potomac Nationals	—	26	23	9	3	0	0	2	6	0	0	0	391	440	522	962	130	436	23	8	393	152	—	—	—	—	—	—
2021	36	MLB MLE	Washington Nationals	—	273	255	62	16	0	14	16	77	0	0	0	243	288	471	758	227	289	28	6	328	108	+3	+0	-3	-5	+6	0.1
2005	20	AA MLE	3 teams	—	331	314	106	30	1	9	12	58	2	1	6	338	366	525	891	188	390	18	4	382	144	—	—	—	—	—	—
2005	20	AA RAW	3 teams	—	331	308	107	32	1	11	18	49	2	1	6	347	387	565	952	218	384	15	5	413	144	—	—	—	—	—	—
2006	21	MLB MLE	Washington Nationals	—	682	621	176	47	3	20	54	120	2	11	8	283	343	465	808	182	322	18	8	355	126	+21	-1	+6	+2	+15	4.4
2006	21	MLB RAW	Washington Nationals	—	682	614	176	47	3	20	61	120	2	11	8	287	353	471	824	184	326	18	9	362	126	+21	-1	+6	+2	+15	4.4
2007	22	MLB MLE	Washington Nationals	—	722	656	174	43	5	24	58	125	3	4	1	265	328	456	784	191	293	17	8	344	119	+16	+0	+18	+3	+16	5.4
2007	22	MLB RAW	Washington Nationals	—	722	653	174	43	5	24	61	125	3	4	1	266	332	458	790	191	295	17	8	347	119	+16	+0	+18	+3	+16	5.4
2008	23	MLB MLE	2 teams	—	483	445	125	25	1	15	31	75	3	1	1	281	332	443	775	162	306	16	6	341	117	+10	-0	+4	+2	+10	2.6
2008	23	MLB RAW	2 teams	—	483	443	125	25	1	15	33	74	3	1	1	282	336	445	781	163	307	15	7	344	117	+10	-0	+4	+2	+10	2.6
2009	24	MLB MLE	Washington Nationals	—	694	620	178	37	3	33	63	119	2	2	0	287	355	516	871	229	304	17	9	377	141	+34	+0	+14	+2	+15	6.7
2009	24	MLB RAW	Washington Nationals	—	694	610	178	37	3	33	72	119	2	2	0	292	368	525	892	233	310	17	10	386	141	+34	+0	+14	+2	+15	6.7
2010	25	MLB MLE	Washington Nationals	—	603	531	160	31	0	25	63	98	4	4	1	301	380	501	881	200	327	16	10	387	148	+35	+0	+16	+2	+13	6.7
2010	25	MLB RAW	Washington Nationals	—	603	525	161	32	0	25	69	98	4	4	1	307	391	510	902	204	334	16	11	395	148	+35	+0	+16	+2	+13	6.7
2011	26	MLB MLE	Washington Nationals	—	440	399	114	21	2	12	37	73	1	3	1	286	348	439	786	153	322	17	8	349	122	+12	+0	-1	+2	+10	2.2
2011	26	MLB RAW	Washington Nationals	—	440	395	114	21	2	12	41	73	1	3	1	289	357	443	800	154	326	17	9	355	122	+12	+0	-1	+2	+10	2.2
2012	27	MLB MLE	Washington Nationals	—	641	586	162	35	1	25	49	116	2	5	2	276	334	468	802	191	305	18	8	353	125	+19	+0	+2	+2	+14	3.8
2012	27	MLB RAW	Washington Nationals	—	641	578	163	36	1	25	57	116	2	5	2	282	349	478	826	196	313	18	9	363	125	+19	+0	+2	+2	+14	3.8
2013	28	MLB MLE	Washington Nationals	—	633	570	156	26	2	26	58	133	2	6	0	274	343	463	806	189	314	21	9	356	127	+20	+1	-11	+2	+14	2.7
2013	28	MLB RAW	Washington Nationals	—	633	568	156	26	2	26	60	133	2	6	0	275	346	465	811	190	316	21	9	358	127	+20	+1	-11	+2	+14	2.7
2014	29	MLB MLE	2 teams	—	255	228	64	19	1	5	22	38	0	0	1	281	344	439	783	158	311	15	9	345	119	+6	-0	-1	-3	+6	0.7
2014	29	MLB RAW	2 teams	—	255	228	65	20	1	5	22	38	0	0	1	285	348	447	795	162	316	15	9	346	119	+6	-0	-1	-3	+6	0.7
2015	30	MLB MLE	2 teams	—	405	361	87	25	1	16	33	83	1	1	0	241	306	449	755	208	261	20	8	324	105	+3	+0	-7	-7	+9	-0.3
2015	30	MLB RAW	2 teams	—	405	361	87	25	1	16	33	82	1	1	0	241	306	449	755	208	260	20	8	325	105	+3	+0	-7	-7	+9	-0.3
2016	31	MLB MLE	Washington Nationals	—	467	428	93	18	1	15	28	104	5	4	1	217	273	369	642	152	248	22	6	284	78	-12	+0	-0	-8	+10	-1.0
2016	31	MLB RAW	Washington Nationals	—	467	427	93	18	1	15	29	104	5	4	1	218	275	370	646	152	248	22	6	285	78	-12	+0	-0	-8	+10	-1.0
2017	32	MLB MLE	Washington Nationals	—	576	525	158	32	0	36	43	126	3	1	0	301	357	568	925	267	332	22	7	400	157	+39	+0	-9	-10	+12	3.3
2017	32	MLB RAW	Washington Nationals	—	576	524	159	33	0	36	44	126	3	1	0	303	361	573	933	269	335	22	8	402	157	+39	+0	-9	-10	+12	3.3
2018	33	MLB MLE	Washington Nationals	—	323	289	76	21	2	13	29	55	3	1	1	263	336	484	821	221	283	17	9	360	129	+11	-0	-1	-6	+7	1.1
2018	33	MLB RAW	Washington Nationals	—	323	288	76	21	2	13	30	55	3	1	1	264	340	486	826	222	284	17	9	361	129	+11	-0	-1	-6	+7	1.1
2019	34	MLB MLE	3 teams	—	239	214	56	12	0	6	21	47	1	0	0	262	331	402	732	140	305	20	9	322	104	+1	+0	-2	-4	+5	0.0
2019	34	MLB RAW	3 teams	—	239	212	57	12	0	6	23	45	1	0	0	269	343	410	754	142	311	19	10	335	104	+1	+0	-2	-4	+5	0.0
2021	36	MLB MLE	Washington Nationals	—	273	255	62	16	0	14	16	77	0	0	0	243	288	471	758	227	289	28	6	328	108	+3	+0	-3	-5	+6	0.1
2021	36	MLB RAW	Washington Nationals	—	273	255	62	16	0	14	16	77	0	0	0	243	288	471	758	227	289	28	6	329	108	+3	+0	-3	-5	+6	0.1
2005	20	AA MLE	3 teams	—	331	314	106	30	1	9	12	58	2	1	6	338	366	525	891	188	385	18	4	382	144	—	—	—	—	—	—
2006	21	MLB MLE	Washington Nationals	—	682	621	176	47	3	20	54	120	2	11	8	283	343	465	808	182	326	18	8	355	126	—	—	—	—	—	—
2007	22	MLB MLE	Washington Nationals	—	722	655	174	43	5	24	58	125	3	4	1	266	328	456	784	191	295	17	8	344	119	—	—	—	—	—	—
2008	23	MLB MLE	2 teams	—	483	446	125	25	1	15	31	75	3	1	1	280	332	442	774	161	306	16	6	341	117	—	—	—	—	—	—
2009	24	MLB MLE	Washington Nationals	—	694	624	178	37	3	33	63	119	2	2	0	285	355	513	868	228	310	17	9	377	141	—	—	—	—	—	—
2010	25	MLB MLE	Washington Nationals	—	603	531	160	31	0	25	63	98	4	4	1	301	380	501	881	200	334	16	10	387	148	—	—	—	—	—	—
2011	26	MLB MLE	Washington Nationals	—	440	399	114	21	2	12	37	73	1	3	1	286	348	439	786	153	326	17	8	349	122	—	—	—	—	—	—
2012	27	MLB MLE	Washington Nationals	—	641	585	162	35	1	25	49	116	2	5	2	277	334	468	803	191	313	18	8	353	125	—	—	—	—	—	—
2013	28	MLB MLE	Washington Nationals	—	633	568	156	26	2	26	58	133	2	6	0	275	343	465	808	190	316	21	9	356	127	—	—	—	—	—	—
2014	29	MLB MLE	2 teams	—	255	231	64	19	1	5	22	38	0	0	1	277	344	433	777	156	312	15	9	345	119	—	—	—	—	—	—
2015	30	MLB MLE	2 teams	—	405	368	87	25	1	16	33	83	1	1	0	236	306	440	747	204	261	20	8	324	105	—	—	—	—	—	—
2016	31	MLB MLE	Washington Nationals	—	467	431	93	18	1	15	28	104	5	4	1	216	273	367	640	151	248	22	6	284	78	—	—	—	—	—	—
2017	32	MLB MLE	Washington Nationals	—	576	525	158	32	0	36	43	126	3	1	0	301	357	568	925	267	335	22	7	400	157	—	—	—	—	—	—
2018	33	MLB MLE	Washington Nationals	—	323	288	76	21	2	13	29	55	3	1	1	264	336	486	823	222	284	17	9	360	129	—	—	—	—	—	—
2019	34	MLB MLE	3 teams	—	239	215	56	12	0	6	21	47	1	0	0	260	331	400	731	140	303	20	9	322	104	—	—	—	—	—	—
2021	36	MLB MLE	Washington Nationals	—	273	255	62	16	0	14	16	77	0	0	0	243	288	471	758	227	289	28	6	328	108	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	7402	6654	1846	417	22	284	646	1384	31	43	16	277	344	475	819	197	309	19	9	358	125	+252	+2	+25	-25	+160	42.3
/ 162G	—	A+C		—	650	584	163	37	2	25	57	122	3	4	1	279	346	478	824	199	312	19	9	358	125	+22	+0	+2	-2	+14	3.7
Career	—	MLE		—	7767	7042	1947	438	23	294	617	1447	34	44	23	276	338	470	808	194	308	19	8	353	125	+252	+2	+25	-25	+160	42.3
/ 162G	—	MLE		—	650	589	164	37	2	25	52	121	3	4	2	278	340	475	815	197	310	19	8	353	125	+22	+0	+2	-2	+14	3.7

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 A+Potomac Nationals · 26 PAwOBA .471 → .393 (−78)K% 15.4% → 22.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.38%	÷0.983	×1.420	—	—	22.22%
BB% (unintentional) /PA	15.38%	÷1.023	×0.630	—	×0.940	8.90%
HBP% /PA	0.00%	—	×0.860	—	×0.940	0.00%
Singles /BIP	35.29%	÷1.000	×0.940	—	×0.940	31.17%
Doubles /BIP	17.65%	÷0.928	×0.830	—	×0.940	14.84%
Triples /BIP	0.00%	÷1.079	×0.800	—	×0.940	0.00%
Home runs /BIP	0.00%	÷0.988	×0.900	—	×0.940	0.00%

Factors used: league row CAR. Park (home-season share, regressed): HR 98, 1B 100, 2B 86, 3B 116, K 97, BB 105 — applied at half strength. Age: age 35 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (12.2 yr older than average).

Result: wOBA .471 → .393; ISO .143 → .127; BABIP .500 → .436. 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).

2019 AAHarrisburg Senators · 23 PAwOBA .244 → .207 (−37)K% 8.7% → 10.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.70%	÷0.996	×1.220	—	—	10.65%
BB% (unintentional) /PA	8.70%	÷1.054	×0.700	—	×0.940	5.43%
HBP% /PA	4.35%	—	×0.850	—	×0.940	3.47%
Singles /BIP	22.22%	÷0.991	×0.970	—	×0.940	20.45%
Doubles /BIP	0.00%	÷0.985	×0.860	—	×0.940	0.00%
Triples /BIP	0.00%	÷1.150	×0.950	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.111	×0.780	—	×0.940	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 122, 1B 98, 2B 97, 3B 130, K 99, BB 111 — applied at half strength. Age: age 35 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (10.2 yr older than average).

Result: wOBA .244 → .207; ISO .000 → .000; BABIP .222 → .204. 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 AAHarrisburg Senators · 15 PAwOBA .059 → .053 (−6)K% 20.0% → 24.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷1.018	×1.220	—	—	23.97%
BB% (unintentional) /PA	0.00%	÷1.052	×0.700	—	×0.940	0.00%
HBP% /PA	0.00%	—	×0.850	—	×0.940	0.00%
Singles /BIP	8.33%	÷0.962	×0.970	—	×0.940	7.90%
Doubles /BIP	0.00%	÷1.070	×0.860	—	×0.940	0.00%
Triples /BIP	0.00%	÷0.916	×0.950	—	×0.940	0.00%
Home runs /BIP	0.00%	÷0.986	×0.780	—	×0.940	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 97, 1B 92, 2B 114, 3B 83, K 104, BB 110 — applied at half strength. Age: age 31 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (6.2 yr older than average).

Result: wOBA .059 → .053; ISO .000 → .000; BABIP .083 → .079. 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+Potomac Nationals · 15 PAwOBA .340 → .299 (−41)K% 6.7% → 9.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.67%	÷0.996	×1.420	—	—	9.50%
BB% (unintentional) /PA	0.00%	÷0.943	×0.630	—	×0.940	0.00%
HBP% /PA	0.00%	—	×0.860	—	×0.940	0.00%
Singles /BIP	30.77%	÷1.012	×0.940	—	×0.940	26.86%
Doubles /BIP	7.69%	÷1.037	×0.830	—	×0.940	5.79%
Triples /BIP	0.00%	÷1.150	×0.800	—	×0.940	0.00%
Home runs /BIP	0.00%	÷0.988	×0.900	—	×0.940	0.00%

Factors used: league row CAR. Park (home-season share, regressed): HR 98, 1B 102, 2B 107, 3B 130, K 99, BB 89 — applied at half strength. Age: age 30 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (7.2 yr older than average).

Result: wOBA .340 → .299; ISO .071 → .056; BABIP .357 → .304. 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 AAAColumbus Clippers · 17 PAwOBA .356 → .332 (−24)K% 17.6% → 21.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.65%	÷1.000	×1.200	—	—	21.18%
BB% (unintentional) /PA	5.88%	÷1.000	×0.690	—	×1.048	4.25%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	16.67%	÷1.000	×0.930	—	×1.048	16.24%
Doubles /BIP	8.33%	÷1.000	×0.830	—	×1.048	7.25%
Triples /BIP	0.00%	÷1.000	×0.970	—	×1.048	0.00%
Home runs /BIP	8.33%	÷1.000	×0.840	—	×1.048	7.34%

Factors used: league row IL. 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).

Result: wOBA .356 → .332; ISO .267 → .247; BABIP .273 → .254. 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 AAHarrisburg Senators · 252 PAwOBA .379 → .361 (−18)K% 13.5% → 16.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.49%	÷1.000	×1.220	—	—	16.46%
BB% (unintentional) /PA	4.76%	÷1.000	×0.700	—	×1.050	3.50%
HBP% /PA	0.79%	—	×0.850	—	×1.050	0.71%
Singles /BIP	23.62%	÷1.000	×0.970	×1.039	×1.050	24.99%
Doubles /BIP	10.05%	÷1.000	×0.860	×1.039	×1.050	9.43%
Triples /BIP	0.00%	÷1.000	×0.950	×1.039	×1.050	0.00%
Home runs /BIP	4.52%	÷1.000	×0.780	—	×1.050	3.70%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.039.

Result: wOBA .379 → .361; ISO .202 → .176; BABIP .351 → .356. 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 ASavannah Sand Gnats · 17 PAwOBA .630 → .511 (−119)K% 17.6% → 23.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.65%	÷1.000	×1.340	—	—	23.65%
BB% (unintentional) /PA	0.00%	÷1.000	×0.660	—	×1.015	0.00%
HBP% /PA	0.00%	—	×0.770	—	×1.015	0.00%
Singles /BIP	21.43%	÷1.000	×0.920	—	×1.015	20.01%
Doubles /BIP	14.29%	÷1.000	×0.820	—	×1.015	11.89%
Triples /BIP	7.14%	÷1.000	×0.940	—	×1.015	6.81%
Home runs /BIP	14.29%	÷1.000	×0.820	—	×1.015	11.89%

Factors used: league row SAL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average).

Result: wOBA .630 → .511; ISO .588 → .467; BABIP .500 → .439. 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).