Franklin Gutierrez

PosCF

B/TR/R

Born1983-02-21

Age (2027)44

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2016	33	MLBSEA	283	.246/.332/.452	14	1	122	0.8
2017	34	MLBLAD	63	.232/.317/.339	1	0	94	-0.1
2018	35	INTLLeones del Ca…	96	.282/.358/.435	3	0	124	—
2019	36	No MLB games played
2020	37	No MLB games played
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 0.7

Contract

No contract data on file.

Skills · percentileStatcast 2015-2017

xwOBA90

Avg EV78

Barrel%77

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.

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	AAA	Buffalo Bisons	—	75	67	17	6	2	0	6	13	1	2	2	254	324	403	727	149	309	17	8	320	72	—	—	—	—	—	—
2005	22	AA	Akron Aeros	—	426	383	100	25	2	11	30	77	7	14	4	261	326	423	749	162	297	18	7	330	80	—	—	—	—	—	—
2006	23	MLB	Cleveland Indians	—	141	136	37	9	0	1	3	28	0	0	0	272	288	360	648	88	336	20	2	285	79	-4	+0	+1	-6	+3	-0.6
2006	23	AAA	Buffalo Bisons	—	413	349	97	27	0	9	49	84	5	13	8	278	375	433	807	155	341	20	12	355	95	—	—	—	—	—	—
2007	24	MLB	Cleveland Indians	—	301	271	72	13	2	13	21	77	1	8	3	266	321	472	793	207	321	26	7	339	114	+5	+0	+5	-5	+7	1.3
2007	24	AAA	Buffalo Bisons	—	138	129	44	7	0	4	8	20	1	7	3	341	384	488	872	147	381	14	6	388	122	—	—	—	—	—	—
2008	25	MLB	Cleveland Indians	—	440	399	99	26	2	8	27	87	8	9	3	248	309	383	692	135	297	20	6	307	93	-4	+1	+16	-5	+10	1.8
2009	26	MLB	Seattle Mariners	—	629	565	160	24	1	18	46	122	3	16	5	283	340	425	765	142	333	19	7	334	110	+7	+1	+33	+2	+14	5.9
2010	27	MLB	Seattle Mariners	—	629	568	139	25	3	12	50	137	1	25	3	245	307	363	670	118	297	22	8	297	86	-11	+4	+8	+2	+14	1.7
2011	28	MLB	Seattle Mariners	—	344	322	72	13	0	1	16	56	1	13	2	224	263	273	536	50	266	16	5	242	50	-21	+2	+17	+1	+7	0.7
2011	28	AAA	Tacoma Rainiers	—	47	40	11	2	2	0	6	7	0	0	0	275	370	425	795	150	324	15	13	347	87	—	—	—	—	—	—
2012	29	MLB	Seattle Mariners	—	163	150	39	10	1	4	9	31	2	3	1	260	311	420	731	160	302	19	6	321	105	+1	+0	-4	+1	+4	0.2
2012	29	AAA	Tacoma Rainiers	—	72	62	16	5	0	2	8	13	0	0	1	258	343	435	778	177	286	18	11	338	75	—	—	—	—	—	—
2012	29	INTL	Leones del Caracas	—	95	86	30	6	0	3	9	22	0	3	2	349	411	523	934	174	443	23	9	413	166	—	—	—	—	—	—
2013	30	MLB	Seattle Mariners	—	151	145	36	7	0	10	5	43	0	3	1	248	273	503	777	255	283	28	3	334	116	+3	+0	-2	-4	+3	0.1
2013	30	AAA	Tacoma Rainiers	—	213	194	41	16	0	3	15	60	2	4	2	211	275	340	615	129	286	28	7	275	30	—	—	—	—	—	—
2014	31	INTL	Leones del Caracas	—	40	36	8	5	0	2	2	9	1	0	2	222	282	528	810	306	231	22	5	340	117	—	—	—	—	—	—
2015	32	MLB	Seattle Mariners	—	189	171	50	11	0	15	14	54	3	0	0	292	356	620	976	327	340	29	7	418	171	+16	+0	+1	-4	+4	1.7
2015	32	AAA	Tacoma Rainiers	—	209	180	57	12	0	7	23	43	4	2	0	317	406	500	906	183	379	21	11	399	96	—	—	—	—	—	—
2016	33	MLB	Seattle Mariners	—	283	248	61	9	0	14	29	85	3	1	0	246	332	452	784	206	309	30	10	345	122	+7	+0	-2	-3	+6	0.8
2017	34	MLB	Los Angeles Dodgers	—	63	56	13	3	0	1	7	16	0	0	1	232	317	339	657	107	308	25	11	301	94	-0	-0	-1	-1	+1	-0.1
2018	35	INTL	Leones del Caracas	—	96	85	24	4	0	3	9	25	1	0	1	282	358	435	793	153	362	26	9	352	124	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3333	3031	778	150	9	97	227	736	22	78	19	257	313	408	721	151	307	22	7	317	101	+2	+8	+73	-20	+72	13.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	22	AAA MLE	Buffalo Bisons	—	75	69	15	5	2	0	4	16	1	2	2	217	270	348	618	130	277	21	5	274	72	—	—	—	—	—	—
2005	22	AA MLE	Akron Aeros	—	426	392	94	22	2	9	21	94	7	14	4	240	290	375	665	135	280	22	5	286	80	—	—	—	—	—	—
2006	23	MLB MLE	Cleveland Indians	—	141	136	37	9	0	1	3	28	0	0	0	272	288	360	648	88	336	20	2	285	79	-4	+0	+1	-6	+3	-0.6
2006	23	AAA MLE	Buffalo Bisons	—	413	365	92	24	0	8	33	101	5	13	8	252	323	384	706	132	313	24	8	308	95	—	—	—	—	—	—
2007	24	MLB MLE	Cleveland Indians	—	301	272	72	13	2	13	20	77	1	8	3	265	317	471	788	206	321	26	7	337	114	+5	+0	+5	-5	+7	1.3
2007	24	AAA MLE	Buffalo Bisons	—	138	131	42	6	0	3	6	24	1	7	3	321	355	435	790	115	376	17	4	349	122	—	—	—	—	—	—
2008	25	MLB MLE	Cleveland Indians	—	440	400	99	26	2	8	26	87	8	9	3	247	306	383	689	135	297	20	6	305	93	-4	+1	+16	-5	+10	1.8
2009	26	MLB MLE	Seattle Mariners	—	629	568	160	24	1	18	43	122	3	16	5	282	336	423	758	141	333	19	7	331	110	+7	+1	+33	+2	+14	5.9
2010	27	MLB MLE	Seattle Mariners	—	629	573	139	25	3	12	45	137	1	25	3	243	299	360	658	117	297	22	7	295	86	-11	+4	+8	+2	+14	1.7
2011	28	MLB MLE	Seattle Mariners	—	344	323	72	13	0	1	15	56	1	13	2	223	260	272	532	50	266	16	4	241	50	-21	+2	+17	+1	+7	0.7
2011	28	AAA MLE	Tacoma Rainiers	—	47	42	11	2	2	0	4	9	0	0	0	262	326	405	731	143	292	19	9	297	87	—	—	—	—	—	—
2012	29	MLB MLE	Seattle Mariners	—	163	150	39	10	1	4	9	31	2	3	1	260	311	420	731	160	302	19	6	324	105	+1	+0	-4	+1	+4	0.2
2012	29	AAA MLE	Tacoma Rainiers	—	72	65	14	4	0	2	5	16	0	0	1	215	271	369	641	154	246	22	7	279	75	—	—	—	—	—	—
2013	30	MLB MLE	Seattle Mariners	—	151	145	36	7	0	10	5	43	0	3	1	248	273	503	777	255	283	28	3	339	116	+3	+0	-2	-4	+3	0.1
2013	30	AAA MLE	Tacoma Rainiers	—	213	199	34	13	0	2	10	75	2	4	2	171	218	266	484	95	247	35	5	212	30	—	—	—	—	—	—
2015	32	MLB MLE	Seattle Mariners	—	189	172	50	11	0	15	13	54	3	0	0	291	351	616	967	326	340	29	7	420	171	+16	+0	+1	-4	+4	1.7
2015	32	AAA MLE	Tacoma Rainiers	—	209	188	48	10	0	5	15	53	4	2	0	255	324	388	712	133	322	25	7	310	96	—	—	—	—	—	—
2016	33	MLB MLE	Seattle Mariners	—	283	248	61	9	0	14	29	85	3	1	0	246	332	452	784	206	309	30	10	348	122	+7	+0	-2	-3	+6	0.8
2017	34	MLB MLE	Los Angeles Dodgers	—	63	56	13	3	0	1	7	16	0	0	1	232	317	339	657	107	308	25	11	308	94	-0	-0	-1	-1	+1	-0.1
2005	22	AA MLE	2 teams	—	501	461	109	27	4	9	25	110	8	16	6	236	287	371	658	134	287	22	5	284	78	—	—	—	—	—	—
2005	22	AA RAW	2 teams	—	501	450	117	31	4	11	36	90	8	16	6	260	326	420	746	160	299	18	7	328	78	—	—	—	—	—	—
2006	23	AAA MLE	2 teams	—	554	501	129	33	0	9	36	129	5	13	8	257	314	377	691	120	329	23	6	302	91	—	—	—	—	—	—
2006	23	AAA RAW	2 teams	—	554	485	134	36	0	10	52	112	5	13	8	276	352	412	765	136	340	20	9	337	91	—	—	—	—	—	—
2007	24	MLB MLE	2 teams	—	439	403	114	19	2	16	26	101	2	15	6	283	329	459	789	176	339	23	6	341	117	+9	+1	+5	-5	+10	2.0
2007	24	MLB RAW	2 teams	—	439	400	116	20	2	17	29	97	2	15	6	290	341	477	819	188	343	22	7	355	117	+9	+1	+5	-5	+10	2.0
2008	25	MLB MLE	Cleveland Indians	—	440	400	99	26	2	8	26	87	8	9	3	247	306	383	689	135	296	20	6	305	93	-4	+1	+16	-5	+10	1.8
2008	25	MLB RAW	Cleveland Indians	—	440	399	99	26	2	8	27	87	8	9	3	248	309	383	692	135	297	20	6	307	93	-4	+1	+16	-5	+10	1.8
2009	26	MLB MLE	Seattle Mariners	—	629	568	160	24	1	18	43	122	3	16	5	282	336	423	758	141	330	19	7	331	110	+7	+1	+33	+2	+14	5.9
2009	26	MLB RAW	Seattle Mariners	—	629	565	160	24	1	18	46	122	3	16	5	283	340	425	765	142	333	19	7	334	110	+7	+1	+33	+2	+14	5.9
2010	27	MLB MLE	Seattle Mariners	—	629	573	139	25	3	12	45	137	1	25	3	243	299	360	658	117	294	22	7	295	86	-11	+4	+8	+2	+14	1.7
2010	27	MLB RAW	Seattle Mariners	—	629	568	139	25	3	12	50	137	1	25	3	245	307	363	670	118	297	22	8	297	86	-11	+4	+8	+2	+14	1.7
2011	28	MLB MLE	2 teams	—	391	365	83	15	2	1	19	65	1	13	2	227	268	288	555	60	272	17	5	248	54	-21	+2	+17	+1	+8	0.8
2011	28	MLB RAW	2 teams	—	391	362	83	15	2	1	22	63	1	13	2	229	275	290	565	61	272	16	6	254	54	-21	+2	+17	+1	+8	0.8
2012	29	MLB MLE	3 teams	—	330	305	75	20	1	8	19	66	2	6	4	246	294	397	691	151	286	20	6	310	96	-2	-0	-4	+1	+7	0.3
2012	29	MLB RAW	3 teams	—	330	298	85	21	1	9	26	66	2	6	4	285	347	453	800	168	336	20	8	351	96	-2	-0	-4	+1	+7	0.3
2013	30	AAA MLE	2 teams	—	364	344	71	20	0	13	15	118	2	7	3	206	244	378	622	172	270	32	4	265	65	—	—	—	—	—	—
2013	30	AAA RAW	2 teams	—	364	339	77	23	0	13	20	103	2	7	3	227	274	410	684	183	284	28	5	300	65	—	—	—	—	—	—
2014	31	INTL MLE	Leones del Caracas	—	40	36	8	5	0	2	2	9	1	0	2	222	282	528	810	306	231	22	5	—	—	—	—	—	—	—	—
2014	31	INTL RAW	Leones del Caracas	—	40	36	8	5	0	2	2	9	1	0	2	222	282	528	810	306	231	22	5	340	117	—	—	—	—	—	—
2015	32	AAA MLE	2 teams	—	398	360	98	21	0	20	28	107	7	2	0	272	337	497	834	225	331	27	7	362	131	—	—	—	—	—	—
2015	32	AAA RAW	2 teams	—	398	351	107	23	0	22	37	97	7	2	0	305	382	558	941	254	362	24	9	408	131	—	—	—	—	—	—
2016	33	MLB MLE	Seattle Mariners	—	283	248	61	9	0	14	29	85	3	1	0	246	332	452	784	206	309	30	10	348	122	+7	+0	-2	-3	+6	0.8
2016	33	MLB RAW	Seattle Mariners	—	283	248	61	9	0	14	29	85	3	1	0	246	332	452	784	206	309	30	10	345	122	+7	+0	-2	-3	+6	0.8
2017	34	MLB MLE	Los Angeles Dodgers	—	63	56	13	3	0	1	7	16	0	0	1	232	317	339	657	107	308	25	11	308	94	-0	-0	-1	-1	+1	-0.1
2017	34	MLB RAW	Los Angeles Dodgers	—	63	56	13	3	0	1	7	16	0	0	1	232	317	339	657	107	308	25	11	301	94	-0	-0	-1	-1	+1	-0.1
2018	35	INTL MLE	Leones del Caracas	—	96	85	24	4	0	3	9	25	1	0	1	282	358	435	793	153	362	26	9	—	—	—	—	—	—	—	—
2018	35	INTL RAW	Leones del Caracas	—	96	85	24	4	0	3	9	25	1	0	1	282	358	435	793	153	362	26	9	352	124	—	—	—	—	—	—
2005	22	AA MLE	2 teams	—	501	463	109	27	4	9	25	110	8	16	6	235	287	369	657	134	280	22	5	284	78	—	—	—	—	—	—
2006	23	AAA MLE	2 teams	—	554	508	129	33	0	9	36	129	5	13	8	254	314	372	686	118	319	23	6	302	91	—	—	—	—	—	—
2007	24	MLB MLE	2 teams	—	439	408	114	19	2	16	26	101	2	15	6	279	329	453	783	174	338	23	6	341	117	—	—	—	—	—	—
2008	25	MLB MLE	Cleveland Indians	—	440	403	99	26	2	8	26	87	8	9	3	246	306	380	686	134	297	20	6	305	93	—	—	—	—	—	—
2009	26	MLB MLE	Seattle Mariners	—	629	578	160	24	1	18	43	122	3	16	5	277	336	415	751	138	333	19	7	331	110	—	—	—	—	—	—
2010	27	MLB MLE	Seattle Mariners	—	629	578	139	25	3	12	45	137	1	25	3	240	299	356	655	116	297	22	7	295	86	—	—	—	—	—	—
2011	28	MLB MLE	2 teams	—	391	368	83	15	2	1	19	65	1	13	2	226	268	285	553	60	269	17	5	248	54	—	—	—	—	—	—
2012	29	MLB MLE	3 teams	—	330	306	75	20	1	8	19	66	2	6	4	245	294	395	690	150	285	20	6	310	96	—	—	—	—	—	—
2013	30	AAA MLE	2 teams	—	364	344	71	20	0	13	15	118	2	7	3	206	244	378	622	172	262	32	4	265	65	—	—	—	—	—	—
2015	32	AAA MLE	2 teams	—	398	360	98	21	0	20	28	107	7	2	0	272	337	497	834	225	330	27	7	362	131	—	—	—	—	—	—
2016	33	MLB MLE	Seattle Mariners	—	283	249	61	9	0	14	29	85	3	1	0	245	332	450	782	205	309	30	10	348	122	—	—	—	—	—	—
2017	34	MLB MLE	Los Angeles Dodgers	—	63	56	13	3	0	1	7	16	0	0	1	232	317	339	657	107	308	25	11	308	94	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3333	3031	778	150	9	97	227	736	22	78	19	257	313	408	721	151	307	22	7	317	89	+2	+8	+73	-20	+72	13.8
/ 162G	—	A+C		—	650	591	152	29	2	19	44	144	4	15	4	257	312	409	722	152	308	22	7	317	89	+0	+2	+14	-4	+14	2.7
Career	—	MLE		—	5157	4705	1183	251	15	134	329	1177	44	123	44	251	306	397	703	145	306	23	6	300	89	+2	+8	+73	-20	+72	13.8
/ 162G	—	MLE		—	650	593	150	32	2	17	41	148	6	16	6	253	308	400	707	147	307	23	6	300	89	+0	+2	+14	-4	+14	2.7

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.

2015 AAATacoma Rainiers · 209 PAwOBA .392 → .310 (−82)K% 20.6% → 25.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.57%	÷1.049	×1.290	—	—	25.29%
BB% (unintentional) /PA	11.00%	÷1.046	×0.710	—	×0.952	7.11%
HBP% /PA	1.91%	—	×0.980	—	×0.952	1.79%
Singles /BIP	27.74%	÷0.995	×0.900	×1.010	×0.952	24.12%
Doubles /BIP	8.76%	÷0.910	×0.810	×1.010	×0.952	7.49%
Triples /BIP	0.00%	÷0.900	×0.810	×1.010	×0.952	0.00%
Home runs /BIP	5.11%	÷1.127	×0.780	—	×0.952	3.37%

Factors used: league row PCL. Park (home-season share, regressed): HR 125, 1B 99, 2B 82, 3B 80, K 110, BB 109 — 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 ×1.010.

Result: wOBA .392 → .310; ISO .183 → .134; BABIP .379 → .322. 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 AAATacoma Rainiers · 213 PAwOBA .271 → .212 (−59)K% 28.2% → 35.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.17%	÷1.030	×1.290	—	—	35.30%
BB% (unintentional) /PA	7.04%	÷1.049	×0.710	—	×0.972	4.63%
HBP% /PA	0.94%	—	×0.980	—	×0.972	0.89%
Singles /BIP	16.42%	÷0.983	×0.900	×1.011	×0.972	14.76%
Doubles /BIP	11.94%	÷0.957	×0.810	×1.011	×0.972	9.93%
Triples /BIP	0.00%	÷0.900	×0.810	×1.011	×0.972	0.00%
Home runs /BIP	2.24%	÷0.938	×0.780	—	×0.972	1.81%

Factors used: league row PCL. Park (home-season share, regressed): HR 88, 1B 97, 2B 91, 3B 80, K 106, BB 110 — 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 ×1.011.

Result: wOBA .271 → .212; ISO .129 → .100; BABIP .286 → .247. 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 AAATacoma Rainiers · 72 PAwOBA .333 → .279 (−54)K% 18.1% → 22.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.06%	÷1.042	×1.290	—	—	22.35%
BB% (unintentional) /PA	9.72%	÷1.061	×0.710	—	×0.982	6.39%
HBP% /PA	0.00%	—	×0.980	—	×0.982	0.00%
Singles /BIP	18.37%	÷0.979	×0.900	×0.980	×0.982	16.26%
Doubles /BIP	10.20%	÷0.936	×0.810	×0.980	×0.982	8.50%
Triples /BIP	0.00%	÷0.900	×0.810	×0.980	×0.982	0.00%
Home runs /BIP	4.08%	÷0.963	×0.780	—	×0.982	3.25%

Factors used: league row PCL. Park (home-season share, regressed): HR 93, 1B 96, 2B 87, 3B 80, K 108, BB 112 — 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 ×0.980.

Result: wOBA .333 → .279; ISO .177 → .151; BABIP .286 → .246. 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 AAATacoma Rainiers · 47 PAwOBA .346 → .297 (−49)K% 14.9% → 19.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.89%	÷0.990	×1.290	—	—	19.40%
BB% (unintentional) /PA	12.77%	÷0.976	×0.710	—	×0.992	9.21%
HBP% /PA	0.00%	—	×0.980	—	×0.992	0.00%
Singles /BIP	21.21%	÷0.960	×0.900	—	×0.992	19.74%
Doubles /BIP	6.06%	÷0.896	×0.810	—	×0.992	5.43%
Triples /BIP	6.06%	÷0.993	×0.810	—	×0.992	4.90%
Home runs /BIP	0.00%	÷1.004	×0.780	—	×0.992	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 101, 1B 92, 2B 79, 3B 99, K 98, BB 95 — 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).

Result: wOBA .346 → .297; ISO .150 → .128; BABIP .324 → .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).

2007 AAABuffalo Bisons · 138 PAwOBA .377 → .349 (−27)K% 14.5% → 17.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.49%	÷1.000	×1.200	—	—	17.39%
BB% (unintentional) /PA	5.80%	÷1.000	×0.690	—	×1.048	4.19%
HBP% /PA	0.72%	—	×0.940	—	×1.048	0.71%
Singles /BIP	30.28%	÷1.000	×0.930	×1.036	×1.048	30.58%
Doubles /BIP	6.42%	÷1.000	×0.830	×1.036	×1.048	5.79%
Triples /BIP	0.00%	÷1.000	×0.970	×1.036	×1.048	0.00%
Home runs /BIP	3.67%	÷1.000	×0.840	—	×1.048	3.23%

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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.036.

Result: wOBA .377 → .349; ISO .147 → .129; BABIP .381 → .376. 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 AAABuffalo Bisons · 413 PAwOBA .344 → .308 (−36)K% 20.3% → 24.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.34%	÷1.000	×1.200	—	—	24.41%
BB% (unintentional) /PA	10.90%	÷1.000	×0.690	—	×1.050	7.89%
HBP% /PA	1.21%	—	×0.940	—	×1.050	1.19%
Singles /BIP	23.02%	÷1.000	×0.930	×0.977	×1.050	21.96%
Doubles /BIP	10.19%	÷1.000	×0.830	×0.977	×1.050	8.67%
Triples /BIP	0.00%	÷1.000	×0.970	×0.977	×1.050	0.00%
Home runs /BIP	3.40%	÷1.000	×0.840	—	×1.050	3.00%

Factors used: league row IL. 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 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.977.

Result: wOBA .344 → .308; ISO .155 → .139; BABIP .341 → .313. 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 AAAkron Aeros · 426 PAwOBA .324 → .286 (−37)K% 18.1% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.08%	÷1.000	×1.220	—	—	22.05%
BB% (unintentional) /PA	6.81%	÷1.000	×0.700	—	×1.042	4.97%
HBP% /PA	1.64%	—	×0.850	—	×1.042	1.46%
Singles /BIP	20.26%	÷1.000	×0.970	×0.972	×1.042	19.90%
Doubles /BIP	8.17%	÷1.000	×0.860	×0.972	×1.042	7.11%
Triples /BIP	0.65%	÷1.000	×0.950	×0.972	×1.042	0.63%
Home runs /BIP	3.59%	÷1.000	×0.780	—	×1.042	2.92%

Factors used: league row EL. 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 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.972.

Result: wOBA .324 → .286; ISO .162 → .136; BABIP .297 → .280. 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 AAABuffalo Bisons · 75 PAwOBA .311 → .274 (−37)K% 17.3% → 20.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.33%	÷1.000	×1.200	—	—	20.80%
BB% (unintentional) /PA	6.67%	÷1.000	×0.690	—	×1.050	4.83%
HBP% /PA	1.33%	—	×0.940	—	×1.050	1.32%
Singles /BIP	16.67%	÷1.000	×0.930	×0.950	×1.050	15.46%
Doubles /BIP	11.11%	÷1.000	×0.830	×0.950	×1.050	9.20%
Triples /BIP	3.70%	÷1.000	×0.970	×0.950	×1.050	3.58%
Home runs /BIP	0.00%	÷1.000	×0.840	—	×1.050	0.00%

Factors used: league row IL. 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 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .311 → .274; ISO .149 → .134; BABIP .309 → .277. 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 — .