Efren Navarro

Pos1B

B/TL/L

Born1986-05-14

Age (2027)41

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2024

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2022	36	INTLTomateros de …	256	.262/.345/.299	1	3	85	—
2023	37	INTLYaquis de Obr…	240	.268/.360/.397	5	1	118	—
2024	38	INTLTomateros de …	176	.309/.408/.409	2	0	136	—

Contract

No contract data on file.

Skills · percentileStatcast 2015-2018

xwOBA23

Barrel%19

Avg EV11

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)
2007	21	ROK	Orem Owlz	—	150	130	30	7	0	1	14	23	2	1	2	231	315	308	623	77	269	15	9	281	27	—	—	—	—	—	—
2008	22	A+	Rancho Cucamonga Quakes	—	150	129	45	9	0	2	19	20	0	0	3	349	432	465	898	116	394	13	13	398	121	—	—	—	—	—	—
2008	22	A	Cedar Rapids Kernels	—	385	331	89	18	0	2	42	66	4	7	7	269	358	341	699	73	323	17	11	317	65	—	—	—	—	—	—
2009	23	A+	Rancho Cucamonga Quakes	—	540	481	138	32	3	5	53	72	3	3	2	287	361	397	758	110	328	13	10	341	82	—	—	—	—	—	—
2010	24	AA	Arkansas Travelers	—	495	453	121	24	2	6	31	47	3	6	4	267	318	369	686	102	285	9	6	305	68	—	—	—	—	—	—
2011	25	AAA	Salt Lake Bees	—	547	492	156	36	6	12	42	78	2	5	5	317	373	488	861	171	352	14	8	373	101	—	—	—	—	—	—
2011	25	INTL	Aguilas Cibaenas	—	111	97	22	4	1	4	11	25	0	0	0	227	306	412	718	186	254	23	10	311	97	—	—	—	—	—	—
2012	26	AAA	Salt Lake Bees	—	577	528	155	35	1	7	36	70	3	3	2	294	342	403	746	110	321	12	6	329	72	—	—	—	—	—	—
2012	26	INTL	Aguilas Cibaenas	—	124	99	18	4	1	1	22	34	1	1	1	182	336	273	609	91	258	27	18	289	81	—	—	—	—	—	—
2013	27	AAA	Salt Lake Bees	—	586	513	167	39	3	7	68	99	2	8	5	326	407	454	861	129	390	17	12	384	103	—	—	—	—	—	—
2013	27	INTL	Naranjeros de Hermosillo	—	139	120	19	3	0	2	17	35	0	0	0	158	263	233	496	75	200	25	12	234	45	—	—	—	—	—	—
2014	28	MLB	Los Angeles Angels	—	174	159	39	10	1	1	13	27	0	1	3	245	302	340	642	94	290	16	7	288	77	-5	-1	-1	-5	+4	-0.8
2014	28	AAA	Salt Lake Bees	—	318	273	89	19	3	4	43	47	1	2	1	326	420	462	881	136	381	15	14	394	103	—	—	—	—	—	—
2015	29	MLB	Los Angeles Angels	—	88	83	21	4	0	0	5	16	0	0	2	253	295	301	597	48	313	18	6	273	67	-3	-1	+2	-7	+2	-0.8
2015	29	AAA	Salt Lake Bees	—	316	283	93	24	1	2	27	55	0	0	1	329	387	442	829	113	392	17	9	364	83	—	—	—	—	—	—
2016	30	AAA	Memphis Redbirds	—	518	467	129	16	3	7	45	84	2	0	0	276	342	368	711	92	321	16	9	321	63	—	—	—	—	—	—
2016	30	INTL	Naranjeros de Hermosillo	—	258	229	62	11	1	4	24	34	0	1	0	271	340	380	720	109	297	13	9	320	102	—	—	—	—	—	—
2017	31	MLB	Detroit Tigers	—	69	61	14	1	1	2	8	21	0	0	1	230	319	377	696	148	316	30	12	314	95	-0	-0	+1	-16	+1	-1.5
2017	31	AAA	Toledo Mud Hens	—	558	479	132	23	2	10	71	101	3	2	3	276	372	395	766	119	328	18	13	346	79	—	—	—	—	—	—
2017	31	INTL	Naranjeros de Hermosillo	—	280	231	71	13	1	2	45	51	2	0	0	307	424	398	823	91	383	18	16	375	140	—	—	—	—	—	—
2018	32	AAA	Iowa Cubs	—	210	184	57	10	1	4	23	38	1	0	1	310	389	440	830	130	368	18	11	369	80	—	—	—	—	—	—
2019	33	INTL	Tomateros de Culiacan	—	99	85	22	4	0	2	13	23	0	0	0	259	357	376	734	118	328	23	13	332	111	—	—	—	—	—	—
2020	34	INTL	Mexico	—	259	227	54	13	0	6	31	46	0	3	2	238	329	374	704	137	273	18	12	318	102	—	—	—	—	—	—
2021	35	INTL	Tomateros de Culiacan	—	247	206	61	7	0	4	32	45	2	3	4	296	396	388	784	92	348	18	13	350	123	—	—	—	—	—	—
2022	36	INTL	Tomateros de Culiacan	—	256	221	58	5	0	1	27	51	1	3	0	262	345	299	644	36	324	20	11	293	85	—	—	—	—	—	—
2023	37	INTL	Yaquis de Obregon	—	240	209	56	12	0	5	29	44	1	1	1	268	360	397	757	129	317	18	12	342	118	—	—	—	—	—	—
2024	38	INTL	Tomateros de Culiacan	—	176	149	46	9	0	2	23	30	2	0	0	309	408	409	817	101	370	17	13	369	136	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	331	303	74	15	2	3	26	64	0	1	6	244	304	337	641	92	301	19	8	289	82	-7	-2	+2	-29	+7	-3.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	21	ROK MLE	Orem Owlz	—	150	136	24	5	0	1	8	33	2	1	2	176	233	235	468	59	217	22	5	208	27	—	—	—	—	—	—
2008	22	A+ MLE	Rancho Cucamonga Quakes	—	150	136	43	8	0	2	12	27	0	0	3	316	372	419	791	103	364	18	8	347	121	—	—	—	—	—	—
2008	22	A MLE	Cedar Rapids Kernels	—	385	345	81	15	0	2	28	90	4	7	7	235	300	296	595	61	293	23	7	264	65	—	—	—	—	—	—
2009	23	A+ MLE	Rancho Cucamonga Quakes	—	540	498	127	27	2	5	36	97	3	3	2	255	309	347	657	92	303	18	7	289	82	—	—	—	—	—	—
2010	24	AA MLE	Arkansas Travelers	—	495	466	114	24	2	6	19	55	3	6	4	245	279	343	622	99	260	11	4	269	68	—	—	—	—	—	—
2011	25	AAA MLE	Salt Lake Bees	—	547	504	142	29	4	9	30	96	2	5	5	282	325	409	733	127	319	18	5	317	101	—	—	—	—	—	—
2012	26	AAA MLE	Salt Lake Bees	—	577	536	133	28	1	5	28	90	3	3	2	248	289	332	621	84	278	16	5	274	72	—	—	—	—	—	—
2013	27	AAA MLE	Salt Lake Bees	—	586	534	151	33	2	6	47	132	2	8	5	283	343	386	729	103	361	23	8	320	103	—	—	—	—	—	—
2014	28	MLB MLE	Los Angeles Angels	—	174	161	39	10	1	1	11	27	0	1	3	242	291	335	626	93	290	16	6	283	77	-5	-1	-1	-5	+4	-0.8
2014	28	AAA MLE	Salt Lake Bees	—	318	288	81	16	3	3	28	61	1	2	1	281	347	389	736	108	343	19	9	321	103	—	—	—	—	—	—
2015	29	MLB MLE	Los Angeles Angels	—	88	84	21	4	0	0	4	16	0	0	2	250	284	298	582	48	313	18	5	267	67	-3	-1	+2	-7	+2	-0.8
2015	29	AAA MLE	Salt Lake Bees	—	316	292	79	19	1	2	18	75	0	0	1	271	313	363	676	92	335	24	6	291	83	—	—	—	—	—	—
2016	30	AAA MLE	Memphis Redbirds	—	518	480	112	13	2	6	32	110	2	0	0	233	284	306	590	73	285	21	6	262	63	—	—	—	—	—	—
2017	31	MLB MLE	Detroit Tigers	—	69	62	14	1	1	2	7	21	0	0	1	226	304	371	675	145	316	30	10	309	95	-0	-0	+1	-16	+1	-1.5
2017	31	AAA MLE	Toledo Mud Hens	—	558	506	121	22	2	8	45	121	3	2	3	239	305	338	643	99	291	22	8	285	79	—	—	—	—	—	—
2018	32	AAA MLE	Iowa Cubs	—	210	195	49	8	1	3	12	49	1	0	1	251	298	349	647	97	309	23	6	287	80	—	—	—	—	—	—
2007	21	ROK MLE	Orem Owlz	—	150	136	24	5	0	1	8	33	2	1	2	176	233	235	468	59	221	22	5	208	27	—	—	—	—	—	—
2007	21	ROK RAW	Orem Owlz	—	150	130	30	7	0	1	14	23	2	1	2	231	315	308	623	77	269	15	9	281	27	—	—	—	—	—	—
2008	22	A MLE	2 teams	—	535	481	122	23	0	3	40	117	4	7	10	254	316	320	636	67	322	22	7	287	81	—	—	—	—	—	—
2008	22	A RAW	2 teams	—	535	460	134	27	0	4	61	86	4	7	10	291	379	376	755	85	344	16	11	340	81	—	—	—	—	—	—
2009	23	A+ MLE	Rancho Cucamonga Quakes	—	540	498	127	27	2	5	36	97	3	3	2	255	309	347	657	92	307	18	7	289	82	—	—	—	—	—	—
2009	23	A+ RAW	Rancho Cucamonga Quakes	—	540	481	138	32	3	5	53	72	3	3	2	287	361	397	758	110	328	13	10	341	82	—	—	—	—	—	—
2010	24	AA MLE	Arkansas Travelers	—	495	466	114	24	2	6	19	55	3	6	4	245	279	343	622	99	265	11	4	269	68	—	—	—	—	—	—
2010	24	AA RAW	Arkansas Travelers	—	495	453	121	24	2	6	31	47	3	6	4	267	318	369	686	102	285	9	6	305	68	—	—	—	—	—	—
2011	25	AAA MLE	2 teams	—	658	606	171	35	5	11	36	115	2	5	5	282	325	411	735	129	327	17	5	317	101	—	—	—	—	—	—
2011	25	AAA RAW	2 teams	—	658	589	178	40	7	16	53	103	2	5	5	302	362	475	837	173	338	16	8	362	101	—	—	—	—	—	—
2012	26	AAA MLE	2 teams	—	701	651	162	34	1	6	34	109	4	4	3	249	290	332	622	83	285	16	5	274	72	—	—	—	—	—	—
2012	26	AAA RAW	2 teams	—	701	627	173	39	2	8	58	104	4	4	3	276	341	383	724	107	313	15	8	322	72	—	—	—	—	—	—
2013	27	AAA MLE	2 teams	—	725	660	187	41	3	7	58	164	2	8	5	283	343	386	729	103	364	23	8	320	103	—	—	—	—	—	—
2013	27	AAA RAW	2 teams	—	725	633	186	42	3	9	85	134	2	8	5	294	379	412	791	118	358	18	12	355	103	—	—	—	—	—	—
2014	28	AAA MLE	2 teams	—	492	449	120	26	4	4	39	88	1	3	4	267	327	370	697	102	324	18	8	307	94	—	—	—	—	—	—
2014	28	AAA RAW	2 teams	—	492	432	128	29	4	5	56	74	1	3	4	296	378	417	795	120	347	15	11	356	94	—	—	—	—	—	—
2015	29	AAA MLE	2 teams	—	404	376	100	23	1	2	22	91	0	0	3	266	307	348	655	82	339	23	5	286	80	—	—	—	—	—	—
2015	29	AAA RAW	2 teams	—	404	366	114	28	1	2	32	71	0	0	3	311	367	410	777	98	375	18	8	344	80	—	—	—	—	—	—
2016	30	AAA MLE	2 teams	—	776	718	168	20	4	8	47	165	2	1	0	234	283	306	589	72	289	21	6	262	63	—	—	—	—	—	—
2016	30	AAA RAW	2 teams	—	776	696	191	27	4	11	69	118	2	1	0	274	342	372	714	98	313	15	9	320	63	—	—	—	—	—	—
2017	31	AAA MLE	3 teams	—	907	821	195	33	4	15	75	205	5	2	4	238	305	342	647	105	297	23	8	288	81	—	—	—	—	—	—
2017	31	AAA RAW	3 teams	—	907	771	217	37	4	14	124	173	5	2	4	281	384	394	778	113	344	19	14	353	81	—	—	—	—	—	—
2018	32	AAA MLE	Iowa Cubs	—	210	195	49	8	1	3	12	49	1	0	1	251	298	349	647	97	317	23	6	287	80	—	—	—	—	—	—
2018	32	AAA RAW	Iowa Cubs	—	210	184	57	10	1	4	23	38	1	0	1	310	389	440	830	130	368	18	11	369	80	—	—	—	—	—	—
2019	33	INTL MLE	Tomateros de Culiacan	—	99	85	22	4	0	2	13	23	0	0	0	259	357	376	734	118	328	23	13	—	—	—	—	—	—	—	—
2019	33	INTL RAW	Tomateros de Culiacan	—	99	85	22	4	0	2	13	23	0	0	0	259	357	376	734	118	328	23	13	332	111	—	—	—	—	—	—
2020	34	INTL MLE	Mexico	—	259	227	54	13	0	6	31	46	0	3	2	238	329	374	704	137	273	18	12	—	—	—	—	—	—	—	—
2020	34	INTL RAW	Mexico	—	259	227	54	13	0	6	31	46	0	3	2	238	329	374	704	137	273	18	12	318	102	—	—	—	—	—	—
2021	35	INTL MLE	Tomateros de Culiacan	—	247	206	61	7	0	4	32	45	2	3	4	296	396	388	784	92	348	18	13	—	—	—	—	—	—	—	—
2021	35	INTL RAW	Tomateros de Culiacan	—	247	206	61	7	0	4	32	45	2	3	4	296	396	388	784	92	348	18	13	350	123	—	—	—	—	—	—
2022	36	INTL MLE	Tomateros de Culiacan	—	256	221	58	5	0	1	27	51	1	3	0	262	345	299	644	36	324	20	11	—	—	—	—	—	—	—	—
2022	36	INTL RAW	Tomateros de Culiacan	—	256	221	58	5	0	1	27	51	1	3	0	262	345	299	644	36	324	20	11	293	85	—	—	—	—	—	—
2023	37	INTL MLE	Yaquis de Obregon	—	240	209	56	12	0	5	29	44	1	1	1	268	360	397	757	129	317	18	12	—	—	—	—	—	—	—	—
2023	37	INTL RAW	Yaquis de Obregon	—	240	209	56	12	0	5	29	44	1	1	1	268	360	397	757	129	317	18	12	342	118	—	—	—	—	—	—
2024	38	INTL MLE	Tomateros de Culiacan	—	176	149	46	9	0	2	23	30	2	0	0	309	408	409	817	101	370	17	13	—	—	—	—	—	—	—	—
2024	38	INTL RAW	Tomateros de Culiacan	—	176	149	46	9	0	2	23	30	2	0	0	309	408	409	817	101	370	17	13	369	136	—	—	—	—	—	—
2007	21	ROK MLE	Orem Owlz	—	150	139	24	5	0	1	8	33	2	1	2	173	233	230	463	58	217	22	5	208	27	—	—	—	—	—	—
2008	22	A MLE	2 teams	—	535	486	122	23	0	3	40	117	4	7	10	251	316	317	633	66	313	22	7	287	81	—	—	—	—	—	—
2009	23	A+ MLE	Rancho Cucamonga Quakes	—	540	496	127	27	2	5	36	97	3	3	2	256	309	349	658	93	303	18	7	289	82	—	—	—	—	—	—
2010	24	AA MLE	Arkansas Travelers	—	495	470	114	24	2	6	19	55	3	6	4	243	279	340	619	98	260	11	4	269	68	—	—	—	—	—	—
2011	25	AAA MLE	2 teams	—	658	615	171	35	5	11	36	115	2	5	5	278	325	405	729	127	319	17	5	317	101	—	—	—	—	—	—
2012	26	AAA MLE	2 teams	—	701	657	162	34	1	6	34	109	4	4	3	247	290	329	619	82	278	16	5	274	72	—	—	—	—	—	—
2013	27	AAA MLE	2 teams	—	725	659	187	41	3	7	58	164	2	8	5	284	343	387	730	103	361	23	8	320	103	—	—	—	—	—	—
2014	28	AAA MLE	2 teams	—	492	449	120	26	4	4	39	88	1	3	4	267	327	370	697	102	324	18	8	307	94	—	—	—	—	—	—
2015	29	AAA MLE	2 teams	—	404	379	100	23	1	2	22	91	0	0	3	264	307	346	652	82	330	23	5	286	80	—	—	—	—	—	—
2016	30	AAA MLE	2 teams	—	776	721	168	20	4	8	47	165	2	1	0	233	283	305	588	72	285	21	6	262	63	—	—	—	—	—	—
2017	31	AAA MLE	3 teams	—	907	819	195	33	4	15	75	205	5	2	4	238	305	343	648	105	294	23	8	288	81	—	—	—	—	—	—
2018	32	AAA MLE	Iowa Cubs	—	210	195	49	8	1	3	12	49	1	0	1	251	298	349	647	97	309	23	6	287	80	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	331	303	74	15	2	3	26	64	0	1	6	244	304	337	641	92	301	19	8	289	49	-7	-2	+2	-29	+7	-3.0
/ 162G	—	A+C		—	650	595	145	29	4	6	51	126	0	2	12	244	303	336	640	92	300	19	8	289	49	-14	-4	+4	-56	+14	-5.8
Career	—	MLE		—	7870	7154	1836	349	27	91	581	1527	35	50	50	257	316	351	667	94	310	19	7	241	49	-7	-2	+2	-29	+7	-3.0
/ 162G	—	MLE		—	650	591	152	29	2	8	48	126	3	4	4	257	316	354	670	96	310	19	7	241	49	-14	-4	+4	-56	+14	-5.8

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.

2018 AAAIowa Cubs · 210 PAwOBA .357 → .287 (−70)K% 18.1% → 23.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.10%	÷0.993	×1.290	—	—	23.51%
BB% (unintentional) /PA	9.05%	÷1.116	×0.710	—	×0.952	5.48%
HBP% /PA	0.48%	—	×0.980	—	×0.952	0.44%
Singles /BIP	28.77%	÷1.033	×0.900	×1.050	×0.952	25.04%
Doubles /BIP	6.85%	÷1.091	×0.810	×1.050	×0.952	5.08%
Triples /BIP	0.68%	÷1.024	×0.810	×1.050	×0.952	0.54%
Home runs /BIP	2.74%	÷0.919	×0.780	—	×0.952	2.21%

Factors used: league row PCL. Park (home-season share, regressed): HR 84, 1B 107, 2B 118, 3B 105, K 99, BB 123 — 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 ×1.050.

Result: wOBA .357 → .287; ISO .130 → .103; BABIP .368 → .309. 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 AAAToledo Mud Hens · 558 PAwOBA .337 → .285 (−52)K% 18.1% → 21.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.10%	÷1.004	×1.200	—	—	21.63%
BB% (unintentional) /PA	12.01%	÷0.996	×0.690	—	×0.962	8.00%
HBP% /PA	0.54%	—	×0.940	—	×0.962	0.49%
Singles /BIP	25.66%	÷1.054	×0.930	×1.048	×0.962	22.84%
Doubles /BIP	6.08%	÷0.916	×0.830	×1.048	×0.962	5.56%
Triples /BIP	0.53%	÷1.150	×0.970	×1.048	×0.962	0.45%
Home runs /BIP	2.65%	÷1.049	×0.840	—	×0.962	2.04%

Factors used: league row IL. Park (home-season share, regressed): HR 110, 1B 111, 2B 83, 3B 130, K 101, BB 99 — 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 ×1.048.

Result: wOBA .337 → .285; ISO .119 → .102; BABIP .328 → .291. 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 AAAMemphis Redbirds · 518 PAwOBA .315 → .262 (−53)K% 16.2% → 21.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.22%	÷0.988	×1.290	—	—	21.17%
BB% (unintentional) /PA	8.69%	÷0.983	×0.710	—	×0.972	6.10%
HBP% /PA	0.39%	—	×0.980	—	×0.972	0.37%
Singles /BIP	26.89%	÷0.989	×0.900	×1.016	×0.972	24.17%
Doubles /BIP	4.18%	÷0.941	×0.810	×1.016	×0.972	3.55%
Triples /BIP	0.78%	÷0.951	×0.810	×1.016	×0.972	0.66%
Home runs /BIP	1.83%	÷0.931	×0.780	—	×0.972	1.49%

Factors used: league row PCL. Park (home-season share, regressed): HR 86, 1B 98, 2B 88, 3B 90, K 98, BB 97 — 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 ×1.016.

Result: wOBA .315 → .262; ISO .092 → .075; BABIP .321 → .285. 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 AAASalt Lake Bees · 316 PAwOBA .361 → .291 (−70)K% 17.4% → 23.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.41%	÷0.952	×1.290	—	—	23.60%
BB% (unintentional) /PA	8.23%	÷1.025	×0.710	—	×0.982	5.60%
HBP% /PA	0.00%	—	×0.980	—	×0.982	0.00%
Singles /BIP	28.95%	÷1.012	×0.900	×1.004	×0.982	25.37%
Doubles /BIP	10.53%	÷1.001	×0.810	×1.004	×0.982	8.40%
Triples /BIP	0.44%	÷0.987	×0.810	×1.004	×0.982	0.35%
Home runs /BIP	0.88%	÷0.980	×0.780	—	×0.982	0.69%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 102, 2B 100, 3B 97, K 90, BB 105 — 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 ×1.004.

Result: wOBA .361 → .291; ISO .113 → .088; BABIP .392 → .335. 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 AAASalt Lake Bees · 318 PAwOBA .385 → .321 (−64)K% 14.8% → 19.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.78%	÷0.986	×1.290	—	—	19.34%
BB% (unintentional) /PA	13.21%	÷1.043	×0.710	—	×0.992	8.92%
HBP% /PA	0.31%	—	×0.980	—	×0.992	0.31%
Singles /BIP	27.88%	÷1.013	×0.900	×1.050	×0.992	25.80%
Doubles /BIP	8.41%	÷1.005	×0.810	×1.050	×0.992	7.06%
Triples /BIP	1.33%	÷0.958	×0.810	×1.050	×0.992	1.17%
Home runs /BIP	1.77%	÷1.139	×0.780	—	×0.992	1.20%

Factors used: league row PCL. Park (home-season share, regressed): HR 128, 1B 103, 2B 101, 3B 92, K 97, BB 109 — 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 ×1.050.

Result: wOBA .385 → .321; ISO .136 → .108; BABIP .381 → .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).

2013 AAASalt Lake Bees · 586 PAwOBA .376 → .320 (−56)K% 16.9% → 22.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.89%	÷0.964	×1.290	—	—	22.60%
BB% (unintentional) /PA	11.43%	÷1.016	×0.710	—	×1.003	8.02%
HBP% /PA	0.34%	—	×0.980	—	×1.003	0.34%
Singles /BIP	28.50%	÷0.997	×0.900	×1.050	×1.003	27.09%
Doubles /BIP	9.42%	÷0.977	×0.810	×1.050	×1.003	8.22%
Triples /BIP	0.72%	÷1.150	×0.810	×1.050	×1.003	0.54%
Home runs /BIP	1.69%	÷0.973	×0.780	—	×1.003	1.36%

Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 99, 2B 95, 3B 130, K 93, BB 103 — 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 .376 → .320; ISO .129 → .106; BABIP .390 → .361. 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 AAASalt Lake Bees · 577 PAwOBA .325 → .274 (−51)K% 12.1% → 15.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.13%	÷1.005	×1.290	—	—	15.57%
BB% (unintentional) /PA	6.07%	÷0.914	×0.710	—	×1.018	4.80%
HBP% /PA	0.52%	—	×0.980	—	×1.018	0.52%
Singles /BIP	24.45%	÷1.029	×0.900	×0.998	×1.018	21.73%
Doubles /BIP	7.64%	÷1.022	×0.810	×0.998	×1.018	6.16%
Triples /BIP	0.22%	÷1.150	×0.810	×0.998	×1.018	0.16%
Home runs /BIP	1.53%	÷1.053	×0.780	—	×1.018	1.15%

Factors used: league row PCL. Park (home-season share, regressed): HR 111, 1B 106, 2B 104, 3B 130, K 101, BB 83 — 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 ×0.998.

Result: wOBA .325 → .274; ISO .110 → .086; BABIP .321 → .278. 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 AAASalt Lake Bees · 547 PAwOBA .367 → .317 (−50)K% 14.3% → 17.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.26%	÷1.050	×1.290	—	—	17.52%
BB% (unintentional) /PA	7.50%	÷1.007	×0.710	—	×1.033	5.46%
HBP% /PA	0.37%	—	×0.980	—	×1.033	0.37%
Singles /BIP	24.64%	÷0.968	×0.900	×1.008	×1.033	23.86%
Doubles /BIP	8.70%	÷1.072	×0.810	×1.008	×1.033	6.84%
Triples /BIP	1.45%	÷1.150	×0.810	×1.008	×1.033	1.06%
Home runs /BIP	2.90%	÷1.089	×0.780	—	×1.033	2.14%

Factors used: league row PCL. Park (home-season share, regressed): HR 118, 1B 94, 2B 114, 3B 130, K 110, BB 101 — 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 ×1.008.

Result: wOBA .367 → .317; ISO .171 → .131; BABIP .352 → .319. 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 — .