Jesus Montero

PosDH

B/TR/R

Born1989-11-28

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2020

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	27	AAA/INTL2 orgs	384	.321/.388/.437	8	1	122	—	.243/.280/.301
2018	28	INTLAguilas del Z…	86	.250/.267/.298	0	0	58	—
2020	30	INTLAguilas del Z…	18	.000/.056/.000	0	0	-88	—

Contract

No contract data on file.

Scouting grades · 20-80

Power53Speed44Eye20

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)
2007	17	ROK	GCL Yankees	—	123	107	30	6	0	3	12	18	3	0	0	280	369	421	789	140	310	15	10	354	65	—	—	—	—	—	—
2008	18	A	Charleston RiverDogs	—	569	525	171	34	1	17	37	83	6	2	1	326	377	491	868	166	362	15	7	384	111	—	—	—	—	—	—
2009	19	AA	Trenton Thunder	—	181	167	53	10	0	9	14	21	0	0	0	317	370	539	909	222	321	12	8	398	124	—	—	—	—	—	—
2009	19	A+	Tampa Yankees	—	198	180	64	15	1	8	14	26	2	0	0	356	408	583	991	228	381	13	7	429	147	—	—	—	—	—	—
2010	20	AAA	Scranton/Wilkes-Barre Yankees	—	504	453	131	34	3	21	46	91	1	0	0	289	356	517	873	227	319	18	9	379	104	—	—	—	—	—	—
2011	21	MLB	New York Yankees	—	69	61	20	4	0	4	7	17	1	0	0	328	406	590	996	262	400	25	10	434	162	+5	+0	-0	+10	+1	1.6
2011	21	AAA	Scranton/Wilkes-Barre Yankees	—	463	420	121	19	1	18	36	98	4	0	0	288	350	467	817	179	336	21	8	360	107	—	—	—	—	—	—
2012	22	MLB	Seattle Mariners	—	553	515	134	20	0	15	29	99	2	0	2	260	302	386	689	126	292	18	5	304	91	-6	-1	-9	+10	+12	0.6
2013	23	MLB	Seattle Mariners	—	110	101	21	1	1	3	8	21	0	0	1	208	266	327	593	119	231	19	7	265	68	-4	-0	-8	+6	+2	-0.4
2013	23	AAA	Tacoma Rainiers	—	82	73	18	6	2	1	8	24	0	0	0	247	321	425	746	178	347	29	10	326	75	—	—	—	—	—	—
2013	23	ROK	AZL Mariners	—	28	23	6	1	0	0	3	5	1	0	0	261	370	304	675	43	316	18	11	308	39	—	—	—	—	—	—
2013	23	INTL	Cardenales de Lara	—	92	86	24	5	0	1	6	24	0	0	0	279	326	372	698	93	377	26	7	315	99	—	—	—	—	—	—
2014	24	MLB	Seattle Mariners	—	17	17	4	0	0	1	0	3	0	0	0	235	235	412	647	176	231	18	0	282	80	-0	+0	-0	-8	+0	-0.8
2014	24	AAA	Tacoma Rainiers	—	409	364	104	24	1	16	37	79	2	1	0	286	355	489	844	203	320	19	9	367	97	—	—	—	—	—	—
2015	25	MLB	Seattle Mariners	—	116	112	25	6	0	5	4	32	0	0	0	223	250	411	661	187	267	28	3	289	85	-2	+0	-3	-10	+3	-1.2
2015	25	AAA	Tacoma Rainiers	—	430	394	140	18	6	18	29	71	2	3	1	355	402	569	971	213	394	17	7	420	118	—	—	—	—	—	—
2016	26	AAA	Buffalo Bisons	—	518	489	155	24	1	11	23	78	3	1	0	317	351	438	789	121	357	15	4	350	91	—	—	—	—	—	—
2016	26	INTL	Cardenales de Lara	—	246	228	77	13	0	7	13	36	2	1	1	338	379	487	865	149	372	15	5	380	143	—	—	—	—	—	—
2017	27	AAA	Sultanes de Monterrey	—	144	132	36	4	1	1	11	35	0	0	1	273	329	341	670	68	361	24	8	303	56	—	—	—	—	—	—
2017	27	INTL	Cardenales de Lara	—	240	211	74	10	0	7	24	49	3	1	0	351	424	498	922	147	427	20	10	408	162	—	—	—	—	—	—
2018	28	INTL	Aguilas del Zulia	—	86	84	21	2	1	0	2	23	0	0	0	250	267	298	565	48	344	27	2	254	58	—	—	—	—	—	—
2020	30	INTL	Aguilas del Zulia	—	18	17	0	0	0	0	1	6	0	0	0		56		56			33	6	39	-88	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	865	806	204	31	1	28	48	172	3	0	3	253	298	398	696	145	287	20	6	307	94	-6	-1	-20	+8	+19	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	17	ROK MLE	GCL Yankees	—	123	111	23	4	0	2	8	26	3	0	0	207	279	297	576	90	254	21	7	265	65	—	—	—	—	—	—
2008	18	A MLE	Charleston RiverDogs	—	569	538	159	29	1	14	24	111	6	2	1	296	333	431	764	136	351	20	4	332	111	—	—	—	—	—	—
2009	19	AA MLE	Trenton Thunder	—	181	171	51	9	0	7	10	26	0	0	0	298	337	474	811	175	316	14	6	351	124	—	—	—	—	—	—
2009	19	A+ MLE	Tampa Yankees	—	198	184	61	15	1	7	10	37	2	0	0	332	372	538	910	207	373	19	5	385	147	—	—	—	—	—	—
2010	20	AAA MLE	Scranton/Wilkes-Barre Yankees	—	504	467	120	29	3	17	32	112	1	0	0	257	306	441	747	184	298	22	6	322	104	—	—	—	—	—	—
2011	21	MLB MLE	New York Yankees	—	69	63	20	4	0	4	5	17	1	0	0	317	377	571	948	254	400	25	7	407	162	+5	+0	-0	+10	+1	1.6
2011	21	AAA MLE	Scranton/Wilkes-Barre Yankees	—	463	434	119	18	1	16	22	119	4	0	0	274	315	431	746	157	337	26	5	326	107	—	—	—	—	—	—
2012	22	MLB MLE	Seattle Mariners	—	553	519	134	20	0	15	25	99	2	0	2	258	295	383	678	125	292	18	5	302	91	-6	-1	-9	+10	+12	0.6
2013	23	MLB MLE	Seattle Mariners	—	110	101	21	1	1	3	8	21	0	0	1	208	266	327	593	119	231	19	7	268	68	-4	-0	-8	+6	+2	-0.4
2013	23	AAA MLE	Tacoma Rainiers	—	82	75	17	5	2	1	6	30	0	0	0	227	284	387	671	160	338	37	7	279	75	—	—	—	—	—	—
2013	23	ROK MLE	AZL Mariners	—	28	24	5	1	0	0	2	7	1	0	0	208	296	250	546	42	243	25	7	226	39	—	—	—	—	—	—
2014	24	MLB MLE	Seattle Mariners	—	17	17	4	0	0	1	0	3	0	0	0	235	235	412	647	176	231	18	0	286	80	-0	+0	-0	-8	+0	-0.8
2014	24	AAA MLE	Tacoma Rainiers	—	409	378	95	22	1	13	23	100	2	1	0	251	298	418	716	167	294	24	6	311	97	—	—	—	—	—	—
2015	25	MLB MLE	Seattle Mariners	—	116	112	25	6	0	5	4	32	0	0	0	223	250	411	661	187	267	28	3	293	85	-2	+0	-3	-10	+3	-1.2
2015	25	AAA MLE	Tacoma Rainiers	—	430	404	122	16	5	13	19	87	2	3	1	302	336	463	799	161	347	20	4	343	118	—	—	—	—	—	—
2016	26	AAA MLE	Buffalo Bisons	—	518	496	144	22	1	8	16	100	3	1	0	290	317	387	704	97	343	19	3	303	91	—	—	—	—	—	—
2017	27	AAA MLE	Sultanes de Monterrey	—	144	136	33	3	1	1	7	44	0	0	1	243	280	301	581	59	342	31	5	251	56	—	—	—	—	—	—
2007	17	ROK MLE	GCL Yankees	—	123	111	23	4	0	2	8	26	3	0	0	207	279	297	576	90	250	21	7	265	65	—	—	—	—	—	—
2007	17	ROK RAW	GCL Yankees	—	123	107	30	6	0	3	12	18	3	0	0	280	369	421	789	140	310	15	10	354	65	—	—	—	—	—	—
2008	18	A MLE	Charleston RiverDogs	—	569	538	159	29	1	14	24	111	6	2	1	296	333	431	764	136	350	20	4	332	111	—	—	—	—	—	—
2008	18	A RAW	Charleston RiverDogs	—	569	525	171	34	1	17	37	83	6	2	1	326	377	491	868	166	362	15	7	384	111	—	—	—	—	—	—
2009	19	A+ MLE	2 teams	—	379	355	111	24	1	14	20	63	2	0	0	313	353	504	857	192	348	17	5	369	136	—	—	—	—	—	—
2009	19	A+ RAW	2 teams	—	379	347	117	25	1	17	28	47	2	0	0	337	390	562	952	225	352	12	7	414	136	—	—	—	—	—	—
2010	20	AAA MLE	Scranton/Wilkes-Barre Yankees	—	504	467	120	29	3	17	32	112	1	0	0	257	306	441	747	184	301	22	6	322	104	—	—	—	—	—	—
2010	20	AAA RAW	Scranton/Wilkes-Barre Yankees	—	504	453	131	34	3	21	46	91	1	0	0	289	356	517	873	227	319	18	9	379	104	—	—	—	—	—	—
2011	21	AAA MLE	2 teams	—	532	497	139	22	1	20	27	136	5	0	0	280	323	449	772	169	346	26	5	337	114	—	—	—	—	—	—
2011	21	AAA RAW	2 teams	—	532	481	141	23	1	22	43	115	5	0	0	293	357	482	840	189	343	22	8	370	114	—	—	—	—	—	—
2012	22	MLB MLE	Seattle Mariners	—	553	519	134	20	0	15	25	99	2	0	2	258	295	383	678	125	289	18	5	302	91	-6	-1	-9	+10	+12	0.6
2012	22	MLB RAW	Seattle Mariners	—	553	515	134	20	0	15	29	99	2	0	2	260	302	386	689	126	292	18	5	304	91	-6	-1	-9	+10	+12	0.6
2013	23	MLB MLE	4 teams	—	312	286	61	10	4	6	22	83	1	0	1	213	272	339	611	126	275	27	7	267	67	-12	-0	-8	+6	+7	-0.8
2013	23	MLB RAW	4 teams	—	312	283	69	13	3	5	25	74	1	0	1	244	307	364	671	120	309	24	8	300	67	-12	-0	-8	+6	+7	-0.8
2014	24	AAA MLE	2 teams	—	426	395	99	22	1	14	23	103	2	1	0	251	295	418	713	167	299	24	5	310	96	—	—	—	—	—	—
2014	24	AAA RAW	2 teams	—	426	381	108	24	1	17	37	82	2	1	0	283	350	486	836	202	316	19	9	363	96	—	—	—	—	—	—
2015	25	AAA MLE	2 teams	—	546	516	147	22	5	18	23	119	2	3	1	285	318	452	769	167	336	22	4	332	111	—	—	—	—	—	—
2015	25	AAA RAW	2 teams	—	546	506	165	24	6	23	33	103	2	3	1	326	370	534	903	208	369	19	6	392	111	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	764	730	211	33	1	11	23	147	5	2	1	289	315	382	697	93	346	19	3	303	91	—	—	—	—	—	—
2016	26	AAA RAW	2 teams	—	764	717	232	37	1	18	36	114	5	2	1	324	360	453	813	130	362	15	5	359	91	—	—	—	—	—	—
2017	27	INTL MLE	2 teams	—	384	359	87	9	2	2	19	118	3	1	1	242	286	295	581	53	351	31	5	251	56	—	—	—	—	—	—
2017	27	INTL RAW	2 teams	—	384	343	110	14	1	8	35	84	3	1	1	321	388	437	826	117	402	22	9	369	56	—	—	—	—	—	—
2018	28	INTL MLE	Aguilas del Zulia	—	86	84	21	2	1	0	2	23	0	0	0	250	267	298	565	48	344	27	2	—	—	—	—	—	—	—	—
2018	28	INTL RAW	Aguilas del Zulia	—	86	84	21	2	1	0	2	23	0	0	0	250	267	298	565	48	344	27	2	254	58	—	—	—	—	—	—
2020	30	INTL MLE	Aguilas del Zulia	—	18	17	0	0	0	0	1	6	0	0	0		56		56			33	6	—	—	—	—	—	—	—	—
2020	30	INTL RAW	Aguilas del Zulia	—	18	17	0	0	0	0	1	6	0	0	0		56		56			33	6	39	-88	—	—	—	—	—	—
2007	17	ROK MLE	GCL Yankees	—	123	111	23	4	0	2	8	26	3	0	0	207	279	297	576	90	254	21	7	265	65	—	—	—	—	—	—
2008	18	A MLE	Charleston RiverDogs	—	569	534	159	29	1	14	24	111	6	2	1	298	333	434	767	137	351	20	4	332	111	—	—	—	—	—	—
2009	19	A+ MLE	2 teams	—	379	354	111	24	1	14	20	63	2	0	0	314	353	506	858	192	346	17	5	369	136	—	—	—	—	—	—
2010	20	AAA MLE	Scranton/Wilkes-Barre Yankees	—	504	466	120	29	3	17	32	112	1	0	0	258	306	442	748	185	298	22	6	322	104	—	—	—	—	—	—
2011	21	AAA MLE	2 teams	—	532	495	139	22	1	20	27	136	5	0	0	281	323	451	774	170	345	26	5	337	114	—	—	—	—	—	—
2012	22	MLB MLE	Seattle Mariners	—	553	521	134	20	0	15	25	99	2	0	2	257	295	382	677	125	292	18	5	302	91	—	—	—	—	—	—
2013	23	MLB MLE	4 teams	—	312	286	61	10	4	6	22	83	1	0	1	213	272	339	611	126	272	27	7	267	67	—	—	—	—	—	—
2014	24	AAA MLE	2 teams	—	426	398	99	22	1	14	23	103	2	1	0	249	295	415	710	166	291	24	5	310	96	—	—	—	—	—	—
2015	25	AAA MLE	2 teams	—	546	516	147	22	5	18	23	119	2	3	1	285	318	452	769	167	330	22	4	332	111	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	764	730	211	33	1	11	23	147	5	2	1	289	315	382	697	93	343	19	3	303	91	—	—	—	—	—	—
2017	27	INTL MLE	2 teams	—	384	359	87	9	2	2	19	118	3	1	1	242	286	295	581	53	342	31	5	251	56	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	865	806	204	31	1	28	48	172	3	0	3	253	298	398	696	145	287	20	6	307	94	-6	-1	-20	+8	+19	-0.1
/ 162G	—	A+C		—	650	606	153	23	1	21	36	129	2	0	2	252	297	398	694	145	286	20	6	307	94	-5	-1	-15	+6	+14	-0.1
Career	—	MLE		—	5196	4874	1312	226	20	133	249	1146	32	9	7	269	309	406	715	136	324	22	5	307	94	-6	-1	-20	+8	+19	-0.1
/ 162G	—	MLE		—	650	610	165	28	3	17	31	143	4	1	1	270	310	410	720	139	325	22	5	307	94	-5	-1	-15	+6	+14	-0.1

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.

2017 AAASultanes de Monterrey · 144 PAwOBA .298 → .251 (−47)K% 24.3% → 30.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.31%	÷0.946	×1.200	—	—	30.82%
BB% (unintentional) /PA	7.64%	÷1.060	×0.690	—	×0.992	4.93%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	30.93%	÷0.978	×0.930	×1.028	×0.992	29.99%
Doubles /BIP	4.12%	÷0.992	×0.830	×1.028	×0.992	3.52%
Triples /BIP	1.03%	÷1.150	×0.920	×1.028	×0.992	0.84%
Home runs /BIP	1.03%	÷1.043	×0.700	—	×0.992	0.69%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 109, 1B 96, 2B 98, 3B 130, K 89, BB 112 — 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 ×1.028.

Result: wOBA .298 → .251; ISO .068 → .051; BABIP .361 → .342. 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 AAABuffalo Bisons · 518 PAwOBA .342 → .303 (−39)K% 15.1% → 19.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.06%	÷0.937	×1.200	—	—	19.28%
BB% (unintentional) /PA	4.44%	÷1.034	×0.690	—	×1.003	2.97%
HBP% /PA	0.58%	—	×0.940	—	×1.003	0.55%
Singles /BIP	28.95%	÷1.008	×0.930	×1.050	×1.003	28.13%
Doubles /BIP	5.84%	÷0.917	×0.830	×1.050	×1.003	5.56%
Triples /BIP	0.24%	÷1.150	×0.970	×1.050	×1.003	0.22%
Home runs /BIP	2.68%	÷1.164	×0.840	—	×1.003	1.94%

Factors used: league row IL. Park (home-season share, regressed): HR 133, 1B 102, 2B 83, 3B 130, K 87, BB 107 — 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 ×1.050.

Result: wOBA .342 → .303; ISO .121 → .097; BABIP .357 → .343. 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 AAATacoma Rainiers · 430 PAwOBA .412 → .343 (−70)K% 16.5% → 20.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.51%	÷1.049	×1.290	—	—	20.30%
BB% (unintentional) /PA	6.51%	÷1.046	×0.710	—	×1.018	4.50%
HBP% /PA	0.47%	—	×0.980	—	×1.018	0.46%
Singles /BIP	30.34%	÷0.995	×0.900	×0.976	×1.018	27.25%
Doubles /BIP	5.57%	÷0.910	×0.810	×0.976	×1.018	4.93%
Triples /BIP	1.86%	÷0.900	×0.810	×0.976	×1.018	1.66%
Home runs /BIP	5.57%	÷1.127	×0.780	—	×1.018	3.93%

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 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 ×0.976.

Result: wOBA .412 → .343; ISO .213 → .163; BABIP .394 → .347. 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 AAATacoma Rainiers · 409 PAwOBA .359 → .311 (−48)K% 19.3% → 24.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.32%	÷1.017	×1.290	—	—	24.50%
BB% (unintentional) /PA	8.07%	÷1.052	×0.710	—	×1.033	5.63%
HBP% /PA	0.49%	—	×0.980	—	×1.033	0.50%
Singles /BIP	22.11%	÷1.016	×0.900	×1.021	×1.033	20.67%
Doubles /BIP	8.42%	÷0.937	×0.810	×1.021	×1.033	7.68%
Triples /BIP	0.35%	÷0.971	×0.810	×1.021	×1.033	0.31%
Home runs /BIP	5.61%	÷0.963	×0.780	—	×1.033	4.70%

Factors used: league row PCL. Park (home-season share, regressed): HR 93, 1B 103, 2B 87, 3B 94, K 103, BB 110 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .359 → .311; ISO .203 → .175; BABIP .320 → .294. 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 · 82 PAwOBA .322 → .279 (−43)K% 29.3% → 36.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.27%	÷1.030	×1.290	—	—	36.67%
BB% (unintentional) /PA	9.76%	÷1.049	×0.710	—	×1.048	6.92%
HBP% /PA	0.00%	—	×0.980	—	×1.048	0.00%
Singles /BIP	18.37%	÷0.983	×0.900	×1.050	×1.048	18.50%
Doubles /BIP	12.24%	÷0.957	×0.810	×1.050	×1.048	11.41%
Triples /BIP	4.08%	÷0.900	×0.810	×1.050	×1.048	4.04%
Home runs /BIP	2.04%	÷0.938	×0.780	—	×1.048	1.78%

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 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 ×1.050.

Result: wOBA .322 → .279; ISO .178 → .157; BABIP .347 → .338. 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 ROKAZL Mariners · 28 PAwOBA .312 → .226 (−86)K% 17.9% → 25.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.86%	÷1.000	×1.440	—	—	25.71%
BB% (unintentional) /PA	10.71%	÷1.000	×0.620	—	×0.955	6.34%
HBP% /PA	3.57%	—	×0.720	—	×0.955	2.46%
Singles /BIP	27.78%	÷1.000	×0.820	—	×0.955	21.75%
Doubles /BIP	5.56%	÷1.000	×0.720	—	×0.955	3.82%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.955	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.955	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). 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 19.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average).

Result: wOBA .312 → .226; ISO .043 → .030; BABIP .316 → .243. 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 AAAScranton/Wilkes-Barre Yankees · 463 PAwOBA .348 → .326 (−22)K% 21.2% → 25.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.17%	÷0.990	×1.200	—	—	25.65%
BB% (unintentional) /PA	6.48%	÷1.005	×0.690	—	×1.050	4.67%
HBP% /PA	0.86%	—	×0.940	—	×1.050	0.85%
Singles /BIP	25.78%	÷0.976	×0.930	×1.021	×1.050	26.32%
Doubles /BIP	5.90%	÷0.931	×0.830	×1.021	×1.050	5.64%
Triples /BIP	0.31%	÷1.113	×0.970	×1.021	×1.050	0.29%
Home runs /BIP	5.59%	÷0.965	×0.840	—	×1.050	5.11%

Factors used: league row IL. Park (home-season share, regressed): HR 93, 1B 95, 2B 86, 3B 123, K 98, BB 101 — 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 ×1.021.

Result: wOBA .348 → .326; ISO .179 → .163; BABIP .336 → .337. 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 AAAScranton/Wilkes-Barre Yankees · 504 PAwOBA .370 → .322 (−49)K% 18.1% → 22.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.06%	÷0.970	×1.200	—	—	22.34%
BB% (unintentional) /PA	8.73%	÷0.983	×0.690	—	×1.050	6.43%
HBP% /PA	0.20%	—	×0.940	—	×1.050	0.20%
Singles /BIP	20.17%	÷1.003	×0.930	×1.015	×1.050	19.93%
Doubles /BIP	9.39%	÷1.036	×0.830	×1.015	×1.050	8.02%
Triples /BIP	0.83%	÷1.150	×0.970	×1.015	×1.050	0.75%
Home runs /BIP	5.80%	÷1.070	×0.840	—	×1.050	4.78%

Factors used: league row IL. Park (home-season share, regressed): HR 114, 1B 101, 2B 107, 3B 130, K 94, BB 97 — applied at half strength. Age: age 21 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (6.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.

Result: wOBA .370 → .322; ISO .227 → .189; BABIP .319 → .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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .