Chris Stewart

PosC

B/TR/R

Born1982-02-19

Age (2027)45

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	35	MLBPIT	144	.183/.241/.221	0	0	27	-0.3
2018	36	AAAATL	156	.219/.301/.277	0	0	33	—	.191/.255/.241
2018	36	MLBARI	17	.200/.250/.200	0	0	21	0.2
2019	37	AAASD	73	.277/.338/.354	1	0	42	—	.209/.254/.269
2020	38	No MLB games played
2021	39	No MLB games played
2022	40	No MLB games played
2023	41	No MLB games played
2024	42	No MLB games played
2025	43	No MLB games played
2026	44	No MLB games played

Last 3 seasons WAR -0.1

Contract

No contract data on file.

Skills · percentileStatcast 2016-2018

xwOBA10

Avg EV10

Speed10

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)
2005	23	AA	Birmingham Barons	—	350	311	89	21	0	11	24	37	3	3	3	286	343	460	803	174	294	11	7	344	92	—	—	—	—	—	—
2006	24	AAA	Charlotte Knights	—	301	272	73	17	3	4	15	35	5	3	0	268	318	397	716	129	295	12	5	311	74	—	—	—	—	—	—
2007	25	MLB	Texas Rangers	—	43	37	9	2	0	0	3	6	0	0	0	243	300	297	597	54	290	14	7	256	59	-2	+0	+1	+4	+1	0.4
2007	25	AAA	Oklahoma RedHawks	—	172	153	37	8	0	2	12	19	1	0	2	242	301	333	635	92	257	11	7	279	48	—	—	—	—	—	—
2008	26	AAA	Scranton/Wilkes-Barre Yankees	—	309	272	76	19	0	2	28	38	3	2	1	279	353	371	724	92	318	12	9	324	74	—	—	—	—	—	—
2009	27	AAA	Scranton/Wilkes-Barre Yankees	—	274	232	65	11	0	1	25	29	11	1	1	280	377	341	717	60	315	11	9	327	80	—	—	—	—	—	—
2010	28	AAA	Portland Beavers	—	309	266	66	14	2	7	30	38	7	1	0	248	340	395	735	147	263	12	10	326	74	—	—	—	—	—	—
2011	29	MLB	San Francisco Giants	—	183	162	33	8	0	3	16	18	2	0	0	204	283	309	592	105	213	10	9	268	60	-9	+0	+26	+5	+4	2.7
2011	29	AAA	Fresno Grizzlies	—	112	95	21	5	0	0	11	16	2	3	1	221	315	274	588	53	263	14	10	268	37	—	—	—	—	—	—
2012	30	MLB	New York Yankees	—	157	141	34	8	0	1	10	21	1	2	0	241	296	319	615	78	273	13	6	272	70	-6	+0	+16	+3	+3	1.7
2013	31	MLB	New York Yankees	—	340	294	62	6	0	4	30	49	6	4	0	211	297	272	569	61	237	14	9	260	61	-16	+1	+29	+6	+7	2.8
2014	32	MLB	Pittsburgh Pirates	—	154	136	40	5	0	0	12	27	3	0	1	294	364	331	695	37	364	18	8	316	93	-1	-0	+10	+3	+3	1.5
2014	32	AAA	Indianapolis Indians	—	17	15	6	1	0	0	1	1	1	0	0	400	471	467	937	67	429	6	6	426	120	—	—	—	—	—	—
2015	33	MLB	Pittsburgh Pirates	—	172	159	46	8	0	0	6	29	2	0	0	289	323	340	663	50	348	17	3	293	83	-3	+0	+8	+3	+4	1.1
2016	34	MLB	Pittsburgh Pirates	—	113	98	21	4	0	1	12	15	3	0	0	214	319	286	604	71	244	13	11	286	71	-4	+0	+1	+3	+2	0.2
2016	34	AA	Altoona Curve	—	35	25	5	0	0	0	8	1	1	0	0	200	412	200	612		200	3	23	310	58	—	—	—	—	—	—
2017	35	MLB	Pittsburgh Pirates	—	144	131	24	1	2	0	9	22	1	0	0	183	241	221	463	38	220	15	6	212	27	-13	+0	+4	+3	+3	-0.3
2018	36	MLB	Arizona Diamondbacks	—	17	15	3	0	0	0	1	1	0	0	0	200	250	200	450		200	6	6	201	21	-2	+0	+0	+3	+0	0.2
2018	36	AAA	Gwinnett Stripers	—	156	137	30	6	1	0	14	17	2	0	1	219	301	277	578	58	248	11	9	265	33	—	—	—	—	—	—
2019	37	AAA	El Paso Chihuahuas	—	73	65	18	2	0	1	5	10	1	0	0	277	338	354	692	77	309	14	7	307	42	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1323	1173	272	42	2	9	99	188	18	6	1	232	302	294	596	62	267	14	7	269	68	-50	+1	+95	+32	+29	10.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	23	AA MLE	Birmingham Barons	—	350	320	84	20	0	9	15	45	3	3	3	263	302	409	711	147	269	13	4	304	92	—	—	—	—	—	—
2006	24	AAA MLE	Charlotte Knights	—	301	276	69	15	3	4	11	42	5	3	0	250	291	370	661	120	271	14	4	277	74	—	—	—	—	—	—
2007	25	MLB MLE	Texas Rangers	—	43	37	9	2	0	0	3	6	0	0	0	243	300	297	597	54	290	14	7	256	59	-2	+0	+1	+4	+1	0.4
2007	25	AAA MLE	Oklahoma RedHawks	—	172	156	34	7	0	2	9	25	1	0	2	218	265	301	566	83	224	15	5	239	48	—	—	—	—	—	—
2008	26	AAA MLE	Scranton/Wilkes-Barre Yankees	—	309	282	71	16	0	2	18	46	3	2	1	252	304	330	633	78	286	15	6	278	74	—	—	—	—	—	—
2009	27	AAA MLE	Scranton/Wilkes-Barre Yankees	—	274	240	62	10	0	1	17	35	11	1	1	258	336	312	648	54	286	13	6	286	80	—	—	—	—	—	—
2010	28	AAA MLE	Portland Beavers	—	309	276	61	12	2	6	20	46	7	1	0	221	290	344	635	123	234	15	6	278	74	—	—	—	—	—	—
2011	29	MLB MLE	San Francisco Giants	—	183	166	33	8	0	3	12	18	2	0	0	199	261	301	562	102	213	10	7	257	60	-9	+0	+26	+5	+4	2.7
2011	29	AAA MLE	Fresno Grizzlies	—	112	99	19	4	0	0	7	20	2	3	1	192	259	232	492	40	228	18	6	223	37	—	—	—	—	—	—
2012	30	MLB MLE	New York Yankees	—	157	141	34	8	0	1	10	21	1	2	0	241	296	319	615	78	273	13	6	272	70	-6	+0	+16	+3	+3	1.7
2013	31	MLB MLE	New York Yankees	—	340	294	62	6	0	4	30	49	6	4	0	211	297	272	569	61	237	14	9	259	61	-16	+1	+29	+6	+7	2.8
2014	32	MLB MLE	Pittsburgh Pirates	—	154	138	40	5	0	0	10	27	3	0	1	290	351	326	677	36	364	18	6	306	93	-1	-0	+10	+3	+3	1.5
2014	32	AAA MLE	Indianapolis Indians	—	17	15	5	1	0	0	1	1	1	0	0	333	412	400	812	67	357	6	6	346	120	—	—	—	—	—	—
2015	33	MLB MLE	Pittsburgh Pirates	—	172	159	46	8	0	0	6	29	2	0	0	289	323	340	663	50	348	17	3	291	83	-3	+0	+8	+3	+4	1.1
2016	34	MLB MLE	Pittsburgh Pirates	—	113	100	21	4	0	1	10	15	3	0	0	210	301	280	581	70	244	13	9	273	71	-4	+0	+1	+3	+2	0.2
2016	34	AA MLE	Altoona Curve	—	35	28	5	0	0	0	5	1	1	0	0	179	324	179	502		175	3	14	254	58	—	—	—	—	—	—
2017	35	MLB MLE	Pittsburgh Pirates	—	144	132	24	1	2	0	8	22	1	0	0	182	234	220	454	38	220	15	6	208	27	-13	+0	+4	+3	+3	-0.3
2018	36	MLB MLE	Arizona Diamondbacks	—	17	15	3	0	0	0	1	1	0	0	0	200	250	200	450		200	6	6	200	21	-2	+0	+0	+3	+0	0.2
2018	36	AAA MLE	Gwinnett Stripers	—	156	141	27	5	1	0	10	21	2	0	1	191	255	241	496	50	214	13	6	217	33	—	—	—	—	—	—
2019	37	AAA MLE	El Paso Chihuahuas	—	73	67	14	1	0	1	3	13	1	0	0	209	254	269	522	60	236	18	4	230	42	—	—	—	—	—	—
2005	23	AA MLE	Birmingham Barons	—	350	320	84	20	0	9	15	45	3	3	3	263	302	409	711	147	280	13	4	304	92	—	—	—	—	—	—
2005	23	AA RAW	Birmingham Barons	—	350	311	89	21	0	11	24	37	3	3	3	286	343	460	803	174	294	11	7	344	92	—	—	—	—	—	—
2006	24	AAA MLE	Charlotte Knights	—	301	276	69	15	3	4	11	42	5	3	0	250	291	370	661	120	281	14	4	277	74	—	—	—	—	—	—
2006	24	AAA RAW	Charlotte Knights	—	301	272	73	17	3	4	15	35	5	3	0	268	318	397	716	129	295	12	5	311	74	—	—	—	—	—	—
2007	25	AAA MLE	2 teams	—	215	193	43	9	0	2	12	31	1	0	2	223	272	301	572	78	250	14	6	242	50	—	—	—	—	—	—
2007	25	AAA RAW	2 teams	—	215	190	46	10	0	2	15	25	1	0	2	242	301	326	627	84	263	12	7	274	50	—	—	—	—	—	—
2008	26	AAA MLE	Scranton/Wilkes-Barre Yankees	—	309	282	71	16	0	2	18	46	3	2	1	252	304	330	633	78	294	15	6	278	74	—	—	—	—	—	—
2008	26	AAA RAW	Scranton/Wilkes-Barre Yankees	—	309	272	76	19	0	2	28	38	3	2	1	279	353	371	724	92	318	12	9	324	74	—	—	—	—	—	—
2009	27	AAA MLE	Scranton/Wilkes-Barre Yankees	—	274	240	62	10	0	1	17	35	11	1	1	258	336	312	648	54	298	13	6	286	80	—	—	—	—	—	—
2009	27	AAA RAW	Scranton/Wilkes-Barre Yankees	—	274	232	65	11	0	1	25	29	11	1	1	280	377	341	717	60	315	11	9	327	80	—	—	—	—	—	—
2010	28	AAA MLE	Portland Beavers	—	309	276	61	12	2	6	20	46	7	1	0	221	290	344	635	123	242	15	6	278	74	—	—	—	—	—	—
2010	28	AAA RAW	Portland Beavers	—	309	266	66	14	2	7	30	38	7	1	0	248	340	395	735	147	263	12	10	326	74	—	—	—	—	—	—
2011	29	MLB MLE	2 teams	—	295	265	52	12	0	3	19	38	4	3	1	196	260	275	536	79	218	13	6	244	51	-17	+0	+26	+5	+6	2.1
2011	29	MLB RAW	2 teams	—	295	257	54	13	0	3	27	34	4	3	1	210	295	296	591	86	231	12	9	268	51	-17	+0	+26	+5	+6	2.1
2012	30	MLB MLE	New York Yankees	—	157	141	34	8	0	1	10	21	1	2	0	241	296	319	615	78	273	13	6	272	70	-6	+0	+16	+3	+3	1.7
2012	30	MLB RAW	New York Yankees	—	157	141	34	8	0	1	10	21	1	2	0	241	296	319	615	78	273	13	6	272	70	-6	+0	+16	+3	+3	1.7
2013	31	MLB MLE	New York Yankees	—	340	294	62	6	0	4	30	49	6	4	0	211	297	272	569	61	237	14	9	259	61	-16	+1	+29	+6	+7	2.8
2013	31	MLB RAW	New York Yankees	—	340	294	62	6	0	4	30	49	6	4	0	211	297	272	569	61	237	14	9	260	61	-16	+1	+29	+6	+7	2.8
2014	32	MLB MLE	2 teams	—	171	153	45	6	0	0	11	28	4	0	1	294	357	333	690	39	357	16	6	310	96	-1	-0	+10	+3	+4	1.6
2014	32	MLB RAW	2 teams	—	171	151	46	6	0	0	13	28	4	0	1	305	375	344	719	40	371	16	8	327	96	-1	-0	+10	+3	+4	1.6
2015	33	MLB MLE	Pittsburgh Pirates	—	172	159	46	8	0	0	6	29	2	0	0	289	323	340	663	50	348	17	3	291	83	-3	+0	+8	+3	+4	1.1
2015	33	MLB RAW	Pittsburgh Pirates	—	172	159	46	8	0	0	6	29	2	0	0	289	323	340	663	50	348	17	3	293	83	-3	+0	+8	+3	+4	1.1
2016	34	MLB MLE	2 teams	—	148	128	26	4	0	1	15	16	4	0	0	203	306	258	564	55	223	11	10	269	68	-6	+0	+1	+3	+3	0.1
2016	34	MLB RAW	2 teams	—	148	123	26	4	0	1	20	16	4	0	0	211	340	268	608	57	234	11	14	291	68	-6	+0	+1	+3	+3	0.1
2017	35	MLB MLE	Pittsburgh Pirates	—	144	132	24	1	2	0	8	22	1	0	0	182	234	220	454	38	218	15	6	208	27	-13	+0	+4	+3	+3	-0.3
2017	35	MLB RAW	Pittsburgh Pirates	—	144	131	24	1	2	0	9	22	1	0	0	183	241	221	463	38	220	15	6	212	27	-13	+0	+4	+3	+3	-0.3
2018	36	AAA MLE	2 teams	—	173	156	30	5	1	0	11	22	2	0	1	192	254	237	492	45	221	13	6	215	32	—	—	—	—	—	—
2018	36	AAA RAW	2 teams	—	173	152	33	6	1	0	15	18	2	0	1	217	296	270	566	53	243	10	9	259	32	—	—	—	—	—	—
2019	37	AAA MLE	El Paso Chihuahuas	—	73	67	14	1	0	1	3	13	1	0	0	209	254	269	522	60	241	18	4	230	42	—	—	—	—	—	—
2019	37	AAA RAW	El Paso Chihuahuas	—	73	65	18	2	0	1	5	10	1	0	0	277	338	354	692	77	309	14	7	307	42	—	—	—	—	—	—
2005	23	AA MLE	Birmingham Barons	—	350	329	84	20	0	9	15	45	3	3	3	255	302	398	700	143	269	13	4	304	92	—	—	—	—	—	—
2006	24	AAA MLE	Charlotte Knights	—	301	282	69	15	3	4	11	42	5	3	0	245	291	362	653	117	271	14	4	277	74	—	—	—	—	—	—
2007	25	AAA MLE	2 teams	—	215	200	43	9	0	2	12	31	1	0	2	215	272	290	562	75	237	14	6	242	50	—	—	—	—	—	—
2008	26	AAA MLE	Scranton/Wilkes-Barre Yankees	—	309	285	71	16	0	2	18	46	3	2	1	249	304	326	630	77	286	15	6	278	74	—	—	—	—	—	—
2009	27	AAA MLE	Scranton/Wilkes-Barre Yankees	—	274	244	62	10	0	1	17	35	11	1	1	254	336	307	643	53	286	13	6	286	80	—	—	—	—	—	—
2010	28	AAA MLE	Portland Beavers	—	309	279	61	12	2	6	20	46	7	1	0	219	290	341	631	122	234	15	6	278	74	—	—	—	—	—	—
2011	29	MLB MLE	2 teams	—	295	270	52	12	0	3	19	38	4	3	1	193	260	270	531	78	219	13	6	244	51	—	—	—	—	—	—
2012	30	MLB MLE	New York Yankees	—	157	145	34	8	0	1	10	21	1	2	0	234	296	310	606	76	273	13	6	272	70	—	—	—	—	—	—
2013	31	MLB MLE	New York Yankees	—	340	301	62	6	0	4	30	49	6	4	0	206	297	266	563	60	237	14	9	259	61	—	—	—	—	—	—
2014	32	MLB MLE	2 teams	—	171	154	45	6	0	0	11	28	4	0	1	292	357	331	688	39	363	16	6	310	96	—	—	—	—	—	—
2015	33	MLB MLE	Pittsburgh Pirates	—	172	162	46	8	0	0	6	29	2	0	0	284	323	333	657	49	348	17	3	291	83	—	—	—	—	—	—
2016	34	MLB MLE	2 teams	—	148	128	26	4	0	1	15	16	4	0	0	203	306	258	564	55	228	11	10	269	68	—	—	—	—	—	—
2017	35	MLB MLE	Pittsburgh Pirates	—	144	134	24	1	2	0	8	22	1	0	0	179	234	216	450	37	220	15	6	208	27	—	—	—	—	—	—
2018	36	AAA MLE	2 teams	—	173	158	30	5	1	0	11	22	2	0	1	190	254	234	489	44	213	13	6	215	32	—	—	—	—	—	—
2019	37	AAA MLE	El Paso Chihuahuas	—	73	69	14	1	0	1	3	13	1	0	0	203	254	261	514	58	236	18	4	230	42	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1323	1173	272	42	2	9	99	188	18	6	1	232	302	294	596	62	267	14	7	269	68	-50	+1	+95	+32	+29	10.9
/ 162G	—	A+C		—	650	576	134	21	1	4	49	92	9	3	0	233	303	293	596	61	268	14	8	269	68	-24	+0	+47	+16	+14	5.4
Career	—	MLE		—	3431	3082	723	133	8	34	206	483	55	19	10	235	294	316	610	81	266	14	6	269	68	-50	+1	+95	+32	+29	10.9
/ 162G	—	MLE		—	650	584	137	25	2	6	39	92	10	4	2	235	294	315	609	80	267	14	6	269	68	-24	+0	+47	+16	+14	5.4

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 AAAEl Paso Chihuahuas · 73 PAwOBA .304 → .230 (−74)K% 13.7% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.70%	÷0.965	×1.290	—	—	18.31%
BB% (unintentional) /PA	6.85%	÷1.050	×0.710	—	×0.940	4.35%
HBP% /PA	1.37%	—	×0.980	—	×0.940	1.26%
Singles /BIP	27.27%	÷1.033	×0.900	×0.950	×0.940	21.22%
Doubles /BIP	3.64%	÷1.044	×0.810	×0.950	×0.940	2.52%
Triples /BIP	0.00%	÷0.900	×0.810	×0.950	×0.940	0.00%
Home runs /BIP	1.82%	÷0.950	×0.780	—	×0.940	1.40%

Factors used: league row PCL. Park (home-season share, regressed): HR 90, 1B 107, 2B 109, 3B 80, K 93, BB 110 — applied at half strength. Age: age 37 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (9.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .304 → .230; ISO .077 → .057; BABIP .309 → .236. 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 AAAGwinnett Stripers · 156 PAwOBA .261 → .217 (−44)K% 10.9% → 13.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.90%	÷0.952	×1.200	—	—	13.74%
BB% (unintentional) /PA	8.97%	÷0.947	×0.690	—	×0.940	6.15%
HBP% /PA	1.28%	—	×0.940	—	×0.940	1.13%
Singles /BIP	19.17%	÷1.010	×0.930	×1.016	×0.940	16.86%
Doubles /BIP	5.00%	÷0.995	×0.830	×1.016	×0.940	3.98%
Triples /BIP	0.83%	÷1.116	×0.970	×1.016	×0.940	0.69%
Home runs /BIP	0.00%	÷0.970	×0.840	—	×0.940	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 94, 1B 102, 2B 99, 3B 123, K 90, BB 89 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.016.

Result: wOBA .261 → .217; ISO .058 → .048; BABIP .248 → .214. 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 AAAltoona Curve · 35 PAwOBA .313 → .254 (−59)K% 2.9% → 3.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	2.86%	÷0.975	×1.220	—	—	3.57%
BB% (unintentional) /PA	22.86%	÷0.988	×0.700	—	×0.940	15.21%
HBP% /PA	2.86%	—	×0.850	—	×0.940	2.28%
Singles /BIP	20.83%	÷1.050	×0.970	—	×0.940	18.10%
Doubles /BIP	0.00%	÷1.059	×0.860	—	×0.940	0.00%
Triples /BIP	0.00%	÷1.150	×0.950	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.016	×0.780	—	×0.940	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 103, 1B 110, 2B 112, 3B 130, K 95, BB 98 — applied at half strength. Age: age 34 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (9.2 yr older than average).

Result: wOBA .313 → .254; ISO .000 → .000; BABIP .200 → .175. 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 AAAIndianapolis Indians · 17 PAwOBA .415 → .346 (−69)K% 5.9% → 7.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	5.88%	÷0.968	×1.200	—	—	7.29%
BB% (unintentional) /PA	5.88%	÷0.944	×0.690	—	×0.952	4.09%
HBP% /PA	5.88%	—	×0.940	—	×0.952	5.26%
Singles /BIP	35.71%	÷1.068	×0.930	—	×0.952	29.61%
Doubles /BIP	7.14%	÷0.932	×0.830	—	×0.952	6.06%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.952	0.00%
Home runs /BIP	0.00%	÷0.854	×0.840	—	×0.952	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 71, 1B 114, 2B 86, 3B 130, K 94, BB 89 — 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 .415 → .346; ISO .067 → .057; BABIP .429 → .357. 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 AAAFresno Grizzlies · 112 PAwOBA .264 → .223 (−42)K% 14.3% → 18.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷1.027	×1.290	—	—	17.95%
BB% (unintentional) /PA	9.82%	÷1.043	×0.710	—	×0.982	6.57%
HBP% /PA	1.79%	—	×0.980	—	×0.982	1.72%
Singles /BIP	20.25%	÷0.960	×0.900	×0.978	×0.982	18.22%
Doubles /BIP	6.33%	÷1.013	×0.810	×0.978	×0.982	4.86%
Triples /BIP	0.00%	÷1.150	×0.810	×0.978	×0.982	0.00%
Home runs /BIP	0.00%	÷1.112	×0.780	—	×0.982	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 122, 1B 92, 2B 103, 3B 130, K 105, BB 109 — 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 ×0.978.

Result: wOBA .264 → .223; ISO .053 → .042; BABIP .263 → .228. 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).

2010 AAAPortland Beavers · 309 PAwOBA .321 → .278 (−43)K% 12.3% → 15.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.30%	÷1.055	×1.290	—	—	15.04%
BB% (unintentional) /PA	9.71%	÷1.042	×0.710	—	×0.992	6.56%
HBP% /PA	2.27%	—	×0.980	—	×0.992	2.20%
Singles /BIP	18.86%	÷0.945	×0.900	×0.968	×0.992	17.24%
Doubles /BIP	6.14%	÷0.945	×0.810	×0.968	×0.992	5.05%
Triples /BIP	0.88%	÷0.939	×0.810	×0.968	×0.992	0.73%
Home runs /BIP	3.07%	÷0.875	×0.780	—	×0.992	2.71%

Factors used: league row PCL. Park (home-season share, regressed): HR 75, 1B 89, 2B 89, 3B 88, K 111, BB 108 — 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 ×0.968.

Result: wOBA .321 → .278; ISO .147 → .130; BABIP .263 → .234. 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 AAAScranton/Wilkes-Barre Yankees · 274 PAwOBA .319 → .286 (−34)K% 10.6% → 12.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.58%	÷1.000	×1.200	—	—	12.70%
BB% (unintentional) /PA	8.76%	÷1.000	×0.690	—	×1.003	6.06%
HBP% /PA	4.01%	—	×0.940	—	×1.003	3.79%
Singles /BIP	26.11%	÷1.000	×0.930	×0.993	×1.003	24.18%
Doubles /BIP	5.42%	÷1.000	×0.830	×0.993	×1.003	4.48%
Triples /BIP	0.00%	÷1.000	×0.970	×0.993	×1.003	0.00%
Home runs /BIP	0.49%	÷1.000	×0.840	—	×1.003	0.42%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.993.

Result: wOBA .319 → .286; ISO .060 → .052; BABIP .315 → .286. 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 AAAScranton/Wilkes-Barre Yankees · 309 PAwOBA .314 → .278 (−36)K% 12.3% → 14.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.30%	÷1.000	×1.200	—	—	14.76%
BB% (unintentional) /PA	8.41%	÷1.000	×0.690	—	×1.018	5.91%
HBP% /PA	0.97%	—	×0.940	—	×1.018	0.93%
Singles /BIP	23.50%	÷1.000	×0.930	×0.980	×1.018	21.81%
Doubles /BIP	8.12%	÷1.000	×0.830	×0.980	×1.018	6.73%
Triples /BIP	0.00%	÷1.000	×0.970	×0.980	×1.018	0.00%
Home runs /BIP	0.85%	÷1.000	×0.840	—	×1.018	0.73%

Factors used: league row IL. 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.980.

Result: wOBA .314 → .278; ISO .092 → .079; BABIP .318 → .286. 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).