Tim Federowicz

PosC

B/TR/R

Born1987-08-05

Age (2027)39

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2021

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2018	30	AAACIN	239	.297/.374/.486	7	0	80	—	.231/.286/.376
2018	30	MLBCIN	42	.225/.262/.400	1	0	81	0.4
2019	31	AAAMIL	166	.224/.296/.327	3	0	26	—	.164/.216/.230
2019	31	MLBTEX	83	.160/.212/.347	4	1	41	0.5
2021	33	AAAOklahoma City…	79	.200/.291/.371	3	0	30	—	.151/.215/.260
2022	34	No MLB games played
2023	35	No MLB games played
2024	36	No MLB games played
2025	37	No MLB games played
2026	38	No MLB games played

Last 3 seasons WAR 0.9

Contract

No contract data on file.

Scouting grades · 20-80

Power48Speed23Eye54

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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+	Salem Red Sox	—	197	187	48	13	0	4	5	22	1	1	0	257	280	390	670	134	268	11	3	291	55	—	—	—	—	—	—
2009	21	A	Greenville Drive	—	247	226	78	19	0	10	15	42	4	1	0	345	396	562	958	217	386	17	6	417	110	—	—	—	—	—	—
2010	22	A+	Salem Red Sox	—	457	407	103	34	1	4	43	86	2	1	1	253	327	371	698	118	307	19	9	313	51	—	—	—	—	—	—
2011	23	MLB	Los Angeles Dodgers	—	16	13	2	0	0	0	2	4	1	0	0	154	312	154	466		222	25	12	246	56	-1	+0	+1	+10	+0	1.0
2011	23	AAA	Albuquerque Isotopes	—	102	83	27	7	0	6	15	20	2	0	0	325	440	627	1.067	301	356	20	15	452	114	—	—	—	—	—	—
2011	23	AA	Portland Sea Dogs	—	382	339	94	20	0	8	32	63	3	1	0	277	345	407	752	130	312	16	8	331	78	—	—	—	—	—	—
2011	23	INTL	Tigres del Licey	—	54	51	10	1	0	1	3	22	0	0	0	196	241	275	515	78	321	41	6	235	45	—	—	—	—	—	—
2012	24	AAA	Albuquerque Isotopes	—	475	412	121	34	1	11	52	91	3	0	1	294	377	461	838	167	347	19	11	367	80	—	—	—	—	—	—
2012	24	INTL	Tigres del Licey	—	37	36	6	2	0	0	1	17	0	0	0	167	189	222	411	56	316	46	3	186	12	—	—	—	—	—	—
2013	25	MLB	Los Angeles Dodgers	—	173	160	37	8	0	4	10	56	0	0	0	231	276	356	633	125	327	32	6	279	64	-8	+0	+3	+5	+4	0.5
2013	25	AAA	Albuquerque Isotopes	—	98	79	33	8	1	8	14	26	1	0	0	418	511	848	1.359	430	532	27	14	546	171	—	—	—	—	—	—
2014	26	MLB	Los Angeles Dodgers	—	78	71	8	3	0	1	3	18	1	0	0	113	160	197	357	85	132	23	4	159	-4	-10	+0	+2	+10	+2	0.4
2014	26	AAA	Albuquerque Isotopes	—	329	299	98	26	0	14	26	66	2	1	0	328	385	555	941	227	380	20	8	409	96	—	—	—	—	—	—
2014	26	INTL	Mayos de Navojoa	—	138	126	27	5	1	5	12	35	0	0	0	214	283	389	671	175	256	25	9	299	89	—	—	—	—	—	—
2015	27	AAA	El Paso Chihuahuas	—	83	78	14	4	0	3	5	19	0	0	0	179	229	346	575	167	196	23	6	255	14	—	—	—	—	—	—
2015	27	A	Fort Wayne TinCaps	—	18	16	5	1	0	1	2	7	0	0	0	312	389	562	951	250	500	39	11	415	55	—	—	—	—	—	—
2016	28	MLB	Chicago Cubs	—	33	31	6	2	0	0	1	12	0	0	0	194	219	258	477	65	300	36	3	209	26	-3	+0	-0	+5	+1	0.3
2016	28	AAA	Iowa Cubs	—	253	229	67	12	0	8	18	51	4	3	0	293	355	450	804	157	343	20	7	356	80	—	—	—	—	—	—
2017	29	AAA	Sacramento River Cats	—	314	283	85	19	0	9	30	65	0	3	0	300	367	463	830	163	362	21	10	368	76	—	—	—	—	—	—
2018	30	MLB	Cincinnati Reds	—	42	40	9	4	0	1	2	16	0	0	0	225	262	400	662	175	348	38	5	291	81	-1	+0	-1	+5	+1	0.4
2018	30	AAA	Louisville Bats	—	239	212	63	19	0	7	25	47	1	0	0	297	374	486	860	189	352	20	10	379	80	—	—	—	—	—	—
2019	31	MLB	Texas Rangers	—	83	75	12	2	0	4	5	31	0	1	0	160	212	347	559	187	200	37	6	239	41	-6	+0	+4	+4	+2	0.5
2019	31	AAA	Nashville Sounds	—	166	147	33	6	0	3	15	39	0	0	0	224	296	327	623	102	278	23	9	278	26	—	—	—	—	—	—
2021	33	AAA	Oklahoma City Dodgers	—	79	70	14	3	0	3	9	17	0	0	0	200	291	371	663	171	220	22	11	299	30	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	425	390	74	19	0	10	23	137	2	1	0	190	239	315	554	126	260	32	5	243	51	-25	+0	+9	+39	+9	3.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	21	A+ MLE	Salem Red Sox	—	197	189	44	11	0	4	3	31	1	1	0	233	249	354	603	122	243	16	2	249	55	—	—	—	—	—	—
2009	21	A MLE	Greenville Drive	—	247	232	66	15	0	8	9	56	4	1	0	284	322	453	775	168	334	23	4	331	110	—	—	—	—	—	—
2010	22	A+ MLE	Salem Red Sox	—	457	423	86	27	1	3	27	134	2	1	1	203	254	293	548	90	281	29	6	243	51	—	—	—	—	—	—
2011	23	MLB MLE	Los Angeles Dodgers	—	16	13	2	0	0	0	2	4	1	0	0	154	312	154	466		222	25	12	251	56	-1	+0	+1	+10	+0	1.0
2011	23	AAA MLE	Albuquerque Isotopes	—	102	87	20	5	0	4	11	28	2	0	0	230	330	425	755	195	280	27	11	337	114	—	—	—	—	—	—
2011	23	AA MLE	Portland Sea Dogs	—	382	349	86	17	0	6	22	78	3	1	0	246	297	347	643	100	284	20	6	283	78	—	—	—	—	—	—
2012	24	AAA MLE	Albuquerque Isotopes	—	475	425	98	24	1	8	39	125	3	0	1	231	300	348	648	118	293	26	8	287	80	—	—	—	—	—	—
2013	25	MLB MLE	Los Angeles Dodgers	—	173	165	37	8	0	4	5	56	0	0	0	224	247	345	593	121	327	32	3	262	64	-8	+0	+3	+5	+4	0.5
2013	25	AAA MLE	Albuquerque Isotopes	—	98	84	27	6	1	6	9	36	1	0	0	321	394	631	1.025	310	432	37	9	421	171	—	—	—	—	—	—
2014	26	MLB MLE	Los Angeles Dodgers	—	78	71	8	3	0	1	3	18	1	0	0	113	160	197	357	85	132	23	4	162	-4	-10	+0	+2	+10	+2	0.4
2014	26	AAA MLE	Albuquerque Isotopes	—	329	307	79	20	0	10	18	89	2	1	0	257	303	420	723	163	327	27	5	310	96	—	—	—	—	—	—
2015	27	AAA MLE	El Paso Chihuahuas	—	83	79	11	3	0	2	4	25	0	0	0	139	181	253	434	114	163	30	5	189	14	—	—	—	—	—	—
2015	27	A MLE	Fort Wayne TinCaps	—	18	17	4	1	0	1	1	10	0	0	0	235	278	471	748	235	396	56	6	250	55	—	—	—	—	—	—
2016	28	MLB MLE	Chicago Cubs	—	33	31	6	2	0	0	1	12	0	0	0	194	219	258	477	65	300	36	3	206	26	-3	+0	-0	+5	+1	0.3
2016	28	AAA MLE	Iowa Cubs	—	253	236	57	10	0	7	11	64	4	3	0	242	287	373	660	131	292	25	4	286	80	—	—	—	—	—	—
2017	29	AAA MLE	Sacramento River Cats	—	314	292	67	14	0	7	21	85	0	3	0	229	281	349	630	120	298	27	7	280	76	—	—	—	—	—	—
2018	30	MLB MLE	Cincinnati Reds	—	42	40	9	4	0	1	2	16	0	0	0	225	262	400	662	175	348	38	5	288	81	-1	+0	-1	+5	+1	0.4
2018	30	AAA MLE	Louisville Bats	—	239	221	51	14	0	6	16	59	1	0	0	231	286	376	661	145	282	25	7	286	80	—	—	—	—	—	—
2019	31	MLB MLE	Texas Rangers	—	83	75	12	2	0	4	5	31	0	1	0	160	212	347	559	187	200	37	6	229	41	-6	+0	+4	+4	+2	0.5
2019	31	AAA MLE	Nashville Sounds	—	166	152	25	4	0	2	10	50	0	0	0	164	216	230	446	66	220	30	6	207	26	—	—	—	—	—	—
2021	33	AAA MLE	Oklahoma City Dodgers	—	79	73	11	2	0	2	6	21	0	0	0	151	215	260	475	110	182	27	8	213	30	—	—	—	—	—	—
2009	21	A MLE	2 teams	—	444	421	108	25	0	12	12	88	5	2	0	257	285	401	687	145	294	20	3	295	86	—	—	—	—	—	—
2009	21	A RAW	2 teams	—	444	413	126	32	0	14	20	64	5	2	0	305	345	484	829	179	329	14	5	361	86	—	—	—	—	—	—
2010	22	A+ MLE	Salem Red Sox	—	457	423	86	27	1	3	27	134	2	1	1	203	254	293	548	90	285	29	6	243	51	—	—	—	—	—	—
2010	22	A+ RAW	Salem Red Sox	—	457	407	103	34	1	4	43	86	2	1	1	253	327	371	698	118	307	19	9	313	51	—	—	—	—	—	—
2011	23	AA MLE	4 teams	—	554	499	119	24	0	11	39	122	6	1	0	238	301	353	654	114	287	22	7	293	84	—	—	—	—	—	—
2011	23	AA RAW	4 teams	—	554	486	133	28	0	15	52	109	6	1	0	274	351	424	775	150	317	20	9	342	84	—	—	—	—	—	—
2012	24	AAA MLE	2 teams	—	512	459	106	26	1	9	42	135	3	0	1	231	300	351	650	120	301	26	8	287	80	—	—	—	—	—	—
2012	24	AAA RAW	2 teams	—	512	448	127	36	1	11	53	108	3	0	1	283	363	442	805	158	345	21	10	354	80	—	—	—	—	—	—
2013	25	MLB MLE	2 teams	—	271	249	64	14	1	10	14	92	1	0	0	257	299	442	741	185	360	34	5	320	102	+1	+0	+3	+5	+6	1.5
2013	25	MLB RAW	2 teams	—	271	239	70	16	1	12	24	82	1	0	0	293	360	519	879	226	392	30	9	375	102	+1	+0	+3	+5	+6	1.5
2014	26	AAA MLE	3 teams	—	545	509	116	31	0	14	28	143	3	1	0	228	272	371	644	143	287	26	5	282	77	—	—	—	—	—	—
2014	26	AAA RAW	3 teams	—	545	496	133	34	1	20	41	119	3	1	0	268	328	462	789	194	314	22	8	345	77	—	—	—	—	—	—
2015	27	AAA MLE	2 teams	—	101	96	14	4	0	3	5	35	0	0	0	146	188	281	469	135	190	35	5	200	21	—	—	—	—	—	—
2015	27	AAA RAW	2 teams	—	101	94	19	5	0	4	7	26	0	0	0	202	257	383	640	181	234	26	7	284	21	—	—	—	—	—	—
2016	28	AAA MLE	2 teams	—	286	267	63	12	0	7	12	76	4	3	0	236	279	360	639	124	299	27	4	277	73	—	—	—	—	—	—
2016	28	AAA RAW	2 teams	—	286	260	73	14	0	8	19	63	4	3	0	281	339	427	766	146	339	22	7	339	73	—	—	—	—	—	—
2017	29	AAA MLE	Sacramento River Cats	—	314	292	67	14	0	7	21	85	0	3	0	229	281	349	630	120	299	27	7	280	76	—	—	—	—	—	—
2017	29	AAA RAW	Sacramento River Cats	—	314	283	85	19	0	9	30	65	0	3	0	300	367	463	830	163	362	21	10	368	76	—	—	—	—	—	—
2018	30	AAA MLE	2 teams	—	281	261	60	18	0	7	18	75	1	0	0	230	282	379	661	149	294	27	6	286	80	—	—	—	—	—	—
2018	30	AAA RAW	2 teams	—	281	252	72	23	0	8	27	63	1	0	0	286	357	472	829	187	352	22	10	366	80	—	—	—	—	—	—
2019	31	AAA MLE	2 teams	—	249	227	37	6	0	6	15	81	0	1	0	163	215	269	484	106	217	33	6	214	31	—	—	—	—	—	—
2019	31	AAA RAW	2 teams	—	249	222	45	8	0	7	20	70	0	1	0	203	269	333	602	131	257	28	8	265	31	—	—	—	—	—	—
2021	33	AAA MLE	Oklahoma City Dodgers	—	79	73	11	2	0	2	6	21	0	0	0	151	215	260	475	110	180	27	8	213	30	—	—	—	—	—	—
2021	33	AAA RAW	Oklahoma City Dodgers	—	79	70	14	3	0	3	9	17	0	0	0	200	291	371	663	171	220	22	11	299	30	—	—	—	—	—	—
2009	21	A MLE	2 teams	—	444	424	108	25	0	12	12	88	5	2	0	255	285	399	684	144	294	20	3	295	86	—	—	—	—	—	—
2010	22	A+ MLE	Salem Red Sox	—	457	425	86	27	1	3	27	134	2	1	1	202	254	292	546	89	281	29	6	243	51	—	—	—	—	—	—
2011	23	AA MLE	4 teams	—	554	504	119	24	0	11	39	122	6	1	0	236	301	349	651	113	281	22	7	293	84	—	—	—	—	—	—
2012	24	AAA MLE	2 teams	—	512	462	106	26	1	9	42	135	3	0	1	229	300	348	648	119	293	26	8	287	80	—	—	—	—	—	—
2013	25	MLB MLE	2 teams	—	271	254	64	14	1	10	14	92	1	0	0	252	299	433	732	181	365	34	5	320	102	—	—	—	—	—	—
2014	26	AAA MLE	3 teams	—	545	509	116	31	0	14	28	143	3	1	0	228	272	371	644	143	290	26	5	282	77	—	—	—	—	—	—
2015	27	AAA MLE	2 teams	—	101	95	14	4	0	3	5	35	0	0	0	147	188	284	472	137	205	35	5	200	21	—	—	—	—	—	—
2016	28	AAA MLE	2 teams	—	286	268	63	12	0	7	12	76	4	3	0	235	279	358	637	123	293	27	4	277	73	—	—	—	—	—	—
2017	29	AAA MLE	Sacramento River Cats	—	314	290	67	14	0	7	21	85	0	3	0	231	281	352	633	121	298	27	7	280	76	—	—	—	—	—	—
2018	30	AAA MLE	2 teams	—	281	260	60	18	0	7	18	75	1	0	0	231	282	381	663	150	292	27	6	286	80	—	—	—	—	—	—
2019	31	AAA MLE	2 teams	—	249	232	37	6	0	6	15	81	0	1	0	159	215	263	478	103	213	33	6	214	31	—	—	—	—	—	—
2021	33	AAA MLE	Oklahoma City Dodgers	—	79	73	11	2	0	2	6	21	0	0	0	151	215	260	475	110	182	27	8	213	30	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	425	390	74	19	0	10	23	137	2	1	0	190	239	315	554	126	260	32	5	243	73	-25	+0	+9	+39	+9	3.3
/ 162G	—	A+C		—	650	596	113	29	0	15	35	210	3	2	0	190	238	314	552	124	261	32	5	243	73	-38	+0	+14	+60	+14	5.1
Career	—	MLE		—	4093	3776	851	203	3	91	239	1087	25	12	2	225	276	353	629	128	288	27	6	276	73	-25	+0	+9	+39	+9	3.3
/ 162G	—	MLE		—	650	600	134	32	0	14	38	173	4	2	0	223	275	347	621	123	286	27	6	276	73	-38	+0	+14	+60	+14	5.1

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.

2021 AAAOklahoma City Dodgers · 79 PAwOBA .291 → .213 (−78)K% 21.5% → 26.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.52%	÷0.994	×1.200	—	—	25.97%
BB% (unintentional) /PA	11.39%	÷1.015	×0.690	—	×0.940	7.28%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	15.09%	÷0.958	×0.930	×0.950	×0.940	13.08%
Doubles /BIP	5.66%	÷0.941	×0.830	×0.950	×0.940	4.46%
Triples /BIP	0.00%	÷0.900	×0.920	×0.950	×0.940	0.00%
Home runs /BIP	5.66%	÷1.016	×0.700	—	×0.940	3.67%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 103, 1B 92, 2B 88, 3B 80, K 99, BB 103 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .291 → .213; ISO .171 → .116; BABIP .220 → .182. 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 AAANashville Sounds · 166 PAwOBA .276 → .207 (−68)K% 23.5% → 29.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.49%	÷1.015	×1.290	—	—	29.87%
BB% (unintentional) /PA	9.04%	÷0.988	×0.710	—	×0.952	6.18%
HBP% /PA	0.00%	—	×0.980	—	×0.952	0.00%
Singles /BIP	22.22%	÷1.007	×0.900	×0.950	×0.952	17.96%
Doubles /BIP	5.56%	÷0.967	×0.810	×0.950	×0.952	4.21%
Triples /BIP	0.00%	÷1.069	×0.810	×0.950	×0.952	0.00%
Home runs /BIP	2.78%	÷0.998	×0.780	—	×0.952	2.07%

Factors used: league row PCL. Park (home-season share, regressed): HR 100, 1B 101, 2B 93, 3B 114, K 103, BB 98 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .276 → .207; ISO .102 → .075; BABIP .278 → .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 AAALouisville Bats · 239 PAwOBA .368 → .286 (−82)K% 19.7% → 24.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.67%	÷0.962	×1.200	—	—	24.52%
BB% (unintentional) /PA	9.62%	÷0.967	×0.690	—	×0.962	6.61%
HBP% /PA	0.42%	—	×0.940	—	×0.962	0.38%
Singles /BIP	22.42%	÷1.011	×0.930	×0.950	×0.962	18.85%
Doubles /BIP	11.52%	÷1.018	×0.830	×0.950	×0.962	8.58%
Triples /BIP	0.00%	÷1.001	×0.970	×0.950	×0.962	0.00%
Home runs /BIP	4.24%	÷0.988	×0.840	—	×0.962	3.47%

Factors used: league row IL. Park (home-season share, regressed): HR 98, 1B 102, 2B 104, 3B 100, K 92, BB 93 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .368 → .286; ISO .189 → .147; BABIP .352 → .282. 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).

2017 AAASacramento River Cats · 314 PAwOBA .359 → .280 (−78)K% 20.7% → 27.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.70%	÷0.989	×1.290	—	—	27.00%
BB% (unintentional) /PA	9.24%	÷0.952	×0.710	—	×0.972	6.70%
HBP% /PA	0.00%	—	×0.980	—	×0.972	0.00%
Singles /BIP	26.15%	÷1.027	×0.900	×0.986	×0.972	21.96%
Doubles /BIP	8.72%	÷0.975	×0.810	×0.986	×0.972	6.94%
Triples /BIP	0.00%	÷0.920	×0.810	×0.986	×0.972	0.00%
Home runs /BIP	4.13%	÷0.889	×0.780	—	×0.972	3.52%

Factors used: league row PCL. Park (home-season share, regressed): HR 78, 1B 105, 2B 95, 3B 84, K 98, BB 90 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.

Result: wOBA .359 → .280; ISO .163 → .129; BABIP .362 → .298. 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 AAAIowa Cubs · 253 PAwOBA .348 → .286 (−62)K% 20.2% → 25.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.16%	÷1.037	×1.290	—	—	25.07%
BB% (unintentional) /PA	6.72%	÷1.034	×0.710	—	×0.982	4.53%
HBP% /PA	1.58%	—	×0.980	—	×0.982	1.52%
Singles /BIP	26.40%	÷1.006	×0.900	×0.982	×0.982	22.77%
Doubles /BIP	6.74%	÷0.927	×0.810	×0.982	×0.982	5.68%
Triples /BIP	0.00%	÷0.945	×0.810	×0.982	×0.982	0.00%
Home runs /BIP	4.49%	÷0.890	×0.780	—	×0.982	3.87%

Factors used: league row PCL. Park (home-season share, regressed): HR 78, 1B 101, 2B 85, 3B 89, K 107, BB 107 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.982.

Result: wOBA .348 → .286; ISO .157 → .131; BABIP .343 → .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).

2015 AAAEl Paso Chihuahuas · 83 PAwOBA .248 → .189 (−59)K% 22.9% → 30.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.89%	÷0.980	×1.290	—	—	30.15%
BB% (unintentional) /PA	6.02%	÷0.972	×0.710	—	×0.992	4.37%
HBP% /PA	0.00%	—	×0.980	—	×0.992	0.00%
Singles /BIP	11.86%	÷1.017	×0.900	×0.975	×0.992	10.15%
Doubles /BIP	6.78%	÷0.970	×0.810	×0.975	×0.992	5.47%
Triples /BIP	0.00%	÷1.150	×0.810	×0.975	×0.992	0.00%
Home runs /BIP	5.08%	÷0.919	×0.780	—	×0.992	4.28%

Factors used: league row PCL. Park (home-season share, regressed): HR 84, 1B 103, 2B 94, 3B 130, K 96, BB 94 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.975.

Result: wOBA .248 → .189; ISO .167 → .128; BABIP .196 → .163. 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 AFort Wayne TinCaps · 18 PAwOBA .404 → .250 (−154)K% 38.9% → 54.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	38.89%	÷0.975	×1.360	—	—	54.23%
BB% (unintentional) /PA	11.11%	÷0.992	×0.690	—	×0.940	7.27%
HBP% /PA	0.00%	—	×0.780	—	×0.940	0.00%
Singles /BIP	33.33%	÷1.041	×0.920	—	×0.940	27.69%
Doubles /BIP	11.11%	÷1.006	×0.830	—	×0.940	8.62%
Triples /BIP	0.00%	÷1.150	×0.910	—	×0.940	0.00%
Home runs /BIP	11.11%	÷0.995	×0.800	—	×0.940	8.40%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 108, 2B 101, 3B 130, K 95, BB 98 — applied at half strength. Age: age 28 vs a level average of 22.0 → −6.0% on BB/HBP/hit rates (6.0 yr older than average).

Result: wOBA .404 → .250; ISO .250 → .147; BABIP .500 → .396. 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 AAAAlbuquerque Isotopes · 329 PAwOBA .400 → .310 (−90)K% 20.1% → 27.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.06%	÷0.955	×1.290	—	—	27.09%
BB% (unintentional) /PA	7.90%	÷1.049	×0.710	—	×1.003	5.36%
HBP% /PA	0.61%	—	×0.980	—	×1.003	0.60%
Singles /BIP	24.89%	÷1.008	×0.900	×1.001	×1.003	22.31%
Doubles /BIP	11.16%	÷0.982	×0.810	×1.001	×1.003	9.24%
Triples /BIP	0.00%	÷1.150	×0.810	×1.001	×1.003	0.00%
Home runs /BIP	6.01%	÷1.078	×0.780	—	×1.003	4.36%

Factors used: league row PCL. Park (home-season share, regressed): HR 116, 1B 102, 2B 96, 3B 130, K 91, 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 ×1.001.

Result: wOBA .400 → .310; ISO .227 → .164; BABIP .380 → .327. 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).