Carlos Peguero

PosLF

B/TL/L

Born1987-02-22

Age (2027)40

No MLB projection yet. Career stats below are historical.

Overview

INTL

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2023	36	INTLGigantes del …	78	.200/.273/.300	1	1	61	—
2024	37	INTLGigantes del …	124	.288/.358/.568	8	0	156	—
2025	38	INTLGigantes del …	36	.290/.389/.419	1	0	135	—

Contract

No contract data on file.

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)
2006	19	ROK	AZL Mariners	—	151	134	41	9	7	7	13	48	3	3	2	306	380	634	1.014	328	425	32	9	430	64	—	—	—	—	—	—
2007	20	A	Wisconsin Timber Rattlers	—	321	297	78	21	6	9	16	97	7	4	3	263	316	465	780	202	359	30	5	342	65	—	—	—	—	—	—
2008	21	A+	High Desert Mavericks	—	385	371	111	25	3	12	10	96	1	6	4	299	319	480	799	181	372	25	3	348	78	—	—	—	—	—	—
2009	22	A+	High Desert Mavericks	—	544	491	133	21	14	31	42	172	7	3	4	271	337	560	897	289	351	32	8	384	82	—	—	—	—	—	—
2010	23	AA	West Tenn Diamond Jaxx	—	553	488	124	23	5	23	56	178	8	7	9	254	341	463	804	209	351	32	10	355	78	—	—	—	—	—	—
2010	23	INTL	Tigres del Licey	—	86	79	20	4	0	3	7	31	0	0	1	253	314	418	732	165	378	36	8	326	107	—	—	—	—	—	—
2011	24	MLB	Seattle Mariners	—	155	143	28	3	2	6	8	54	3	0	1	196	253	371	624	175	262	35	5	276	69	-6	-0	-2	-6	+3	-1.2
2011	24	AAA	Tacoma Rainiers	—	258	240	76	15	2	13	15	82	3	8	0	317	364	558	923	242	434	32	6	402	95	—	—	—	—	—	—
2011	24	INTL	Gigantes del Cibao	—	190	166	43	9	0	11	19	63	3	6	1	259	346	512	858	253	340	33	10	372	138	—	—	—	—	—	—
2012	25	MLB	Seattle Mariners	—	57	56	10	2	1	2	1	28	0	0	0	179	193	357	550	179	308	49	2	238	50	-3	+0	-0	-5	+1	-0.7
2012	25	AAA	Tacoma Rainiers	—	322	281	80	13	1	21	29	103	9	2	2	285	370	562	932	278	369	32	9	402	100	—	—	—	—	—	—
2012	25	INTL	Gigantes del Cibao	—	73	63	21	3	0	4	7	23	3	0	0	333	425	571	996	238	472	32	10	437	182	—	—	—	—	—	—
2013	26	AAA	Tacoma Rainiers	—	505	454	118	28	3	19	42	156	2	11	8	260	325	460	786	200	346	31	8	342	73	—	—	—	—	—	—
2013	26	INTL	Gigantes del Cibao	—	31	27	8	1	0	2	4	8	0	3	0	296	387	556	943	259	353	26	13	412	165	—	—	—	—	—	—
2014	27	AAA	Omaha Storm Chasers	—	418	368	98	17	1	30	45	138	3	11	4	266	351	562	913	296	337	33	11	394	72	—	—	—	—	—	—
2014	27	INTL	Gigantes del Cibao	—	138	107	29	5	0	8	30	51	0	1	2	271	431	542	973	271	429	37	22	424	173	—	—	—	—	—	—
2015	28	MLB	Boston Red Sox	—	90	75	14	4	0	4	13	37	1	2	0	187	315	400	715	213	286	41	14	319	99	-0	+0	+3	-3	+2	0.2
2015	28	AAA	Pawtucket Red Sox	—	115	103	27	5	1	7	10	34	1	0	0	262	333	534	867	272	317	30	9	374	88	—	—	—	—	—	—
2015	28	INTL	Gigantes del Cibao	—	105	87	17	1	1	2	15	31	3	1	0	195	333	299	632	103	278	30	14	300	89	—	—	—	—	—	—
2016	29	AAA	Memphis Redbirds	—	155	138	39	6	0	5	15	41	1	3	0	283	357	435	792	152	366	26	10	353	69	—	—	—	—	—	—
2019	32	AAA	Toros de Tijuana	—	94	81	21	3	0	5	12	29	1	1	1	259	362	481	843	222	340	31	13	374	76	—	—	—	—	—	—
2019	32	INTL	Gigantes del Cibao	—	26	22	6	0	0	0	3	8	0	1	0	273	360	273	633		400	31	12	289	82	—	—	—	—	—	—
2020	33	INTL	Gigantes del Cibao	—	67	59	17	2	1	4	6	29	1	0	0	288	364	559	923	271	481	43	9	395	154	—	—	—	—	—	—
2021	34	INTL	Gigantes del Cibao	—	107	96	22	10	1	2	10	36	0	0	0	229	302	417	719	188	339	34	9	315	100	—	—	—	—	—	—
2022	35	INTL	Gigantes del Cibao	—	120	106	25	4	0	3	13	39	1	0	0	236	325	358	683	123	344	32	11	312	97	—	—	—	—	—	—
2023	36	INTL	Gigantes del Cibao	—	78	70	14	2	1	1	7	30	0	1	1	200	273	300	573	100	325	38	9	259	61	—	—	—	—	—	—
2024	37	INTL	Gigantes del Cibao	—	124	111	32	5	1	8	11	34	1	0	0	288	358	568	925	279	343	27	9	398	156	—	—	—	—	—	—
2025	38	INTL	Gigantes del Cibao	—	36	31	9	1	0	1	4	16	1	0	0	290	389	419	808	129	571	44	11	367	135	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	302	274	52	9	3	12	22	119	4	2	1	190	260	376	636	186	276	39	7	281	77	-8	+0	+1	-15	+7	-1.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2006	19	ROK MLE	AZL Mariners	—	151	139	26	5	4	5	8	69	3	3	2	187	247	388	635	201	308	46	5	263	64	—	—	—	—	—	—
2007	20	A MLE	Wisconsin Timber Rattlers	—	321	302	63	16	5	6	11	132	7	4	3	209	253	354	607	146	343	41	3	264	65	—	—	—	—	—	—
2008	21	A+ MLE	High Desert Mavericks	—	385	374	94	20	2	10	7	129	1	6	4	251	267	396	663	144	348	34	2	284	78	—	—	—	—	—	—
2009	22	A+ MLE	High Desert Mavericks	—	544	504	103	15	9	25	29	231	7	3	4	204	257	419	676	214	309	42	5	290	82	—	—	—	—	—	—
2010	23	AA MLE	West Tenn Diamond Jaxx	—	553	506	105	21	4	20	38	219	8	7	9	208	274	383	657	176	313	40	7	283	78	—	—	—	—	—	—
2011	24	MLB MLE	Seattle Mariners	—	155	145	28	3	2	6	6	54	3	0	1	193	240	366	606	172	262	35	4	270	69	-6	-0	-2	-6	+3	-1.2
2011	24	AAA MLE	Tacoma Rainiers	—	258	244	61	12	1	9	11	107	3	8	0	250	291	418	709	168	407	41	4	309	95	—	—	—	—	—	—
2012	25	MLB MLE	Seattle Mariners	—	57	56	10	2	1	2	1	28	0	0	0	179	193	357	550	179	308	49	2	242	50	-3	+0	-0	-5	+1	-0.7
2012	25	AAA MLE	Tacoma Rainiers	—	322	292	66	10	1	17	18	128	9	2	2	226	292	442	733	216	321	40	6	316	100	—	—	—	—	—	—
2013	26	AAA MLE	Tacoma Rainiers	—	505	469	102	23	3	15	27	195	2	11	8	217	263	375	638	158	318	39	5	276	73	—	—	—	—	—	—
2014	27	AAA MLE	Omaha Storm Chasers	—	418	386	73	13	1	20	27	189	3	11	4	189	248	383	631	194	289	45	6	274	72	—	—	—	—	—	—
2015	28	MLB MLE	Boston Red Sox	—	90	75	14	4	0	4	13	37	1	2	0	187	315	400	715	213	286	41	14	314	99	-0	+0	+3	-3	+2	0.2
2015	28	AAA MLE	Pawtucket Red Sox	—	115	106	22	4	1	5	7	43	1	0	0	208	263	406	669	198	293	37	6	298	88	—	—	—	—	—	—
2016	29	AAA MLE	Memphis Redbirds	—	155	144	32	5	0	4	9	53	1	3	0	222	273	340	613	118	314	34	6	270	69	—	—	—	—	—	—
2019	32	AAA MLE	Toros de Tijuana	—	94	86	17	2	0	3	7	31	1	1	1	198	266	326	592	128	285	33	7	281	76	—	—	—	—	—	—
2006	19	ROK MLE	AZL Mariners	—	151	139	26	5	4	5	8	69	3	3	2	187	247	388	635	201	318	46	5	263	64	—	—	—	—	—	—
2006	19	ROK RAW	AZL Mariners	—	151	134	41	9	7	7	13	48	3	3	2	306	380	634	1.014	328	425	32	9	430	64	—	—	—	—	—	—
2007	20	A MLE	Wisconsin Timber Rattlers	—	321	302	63	16	5	6	11	132	7	4	3	209	253	354	607	146	345	41	3	264	65	—	—	—	—	—	—
2007	20	A RAW	Wisconsin Timber Rattlers	—	321	297	78	21	6	9	16	97	7	4	3	263	316	465	780	202	359	30	5	342	65	—	—	—	—	—	—
2008	21	A+ MLE	High Desert Mavericks	—	385	374	94	20	2	10	7	129	1	6	4	251	267	396	663	144	353	34	2	284	78	—	—	—	—	—	—
2008	21	A+ RAW	High Desert Mavericks	—	385	371	111	25	3	12	10	96	1	6	4	299	319	480	799	181	372	25	3	348	78	—	—	—	—	—	—
2009	22	A+ MLE	High Desert Mavericks	—	544	504	103	15	9	25	29	231	7	3	4	204	257	419	676	214	311	42	5	290	82	—	—	—	—	—	—
2009	22	A+ RAW	High Desert Mavericks	—	544	491	133	21	14	31	42	172	7	3	4	271	337	560	897	289	351	32	8	384	82	—	—	—	—	—	—
2010	23	AA MLE	2 teams	—	639	586	120	24	4	23	44	253	8	7	10	205	270	377	647	172	312	40	7	283	78	—	—	—	—	—	—
2010	23	AA RAW	2 teams	—	639	567	144	27	5	26	63	209	8	7	10	254	337	457	794	203	354	33	10	351	78	—	—	—	—	—	—
2011	24	AAA MLE	3 teams	—	603	567	130	22	5	22	24	235	9	14	2	229	272	402	674	173	345	39	4	294	85	—	—	—	—	—	—
2011	24	AAA RAW	3 teams	—	603	549	147	27	4	30	42	199	9	14	2	268	330	495	825	228	362	33	7	360	85	—	—	—	—	—	—
2012	25	AAA MLE	3 teams	—	452	414	91	15	2	22	23	185	12	2	2	220	281	425	706	205	329	41	5	305	92	—	—	—	—	—	—
2012	25	AAA RAW	3 teams	—	452	400	111	18	2	27	37	154	12	2	2	278	356	535	891	258	378	34	8	387	92	—	—	—	—	—	—
2013	26	AAA MLE	2 teams	—	536	499	109	25	3	16	28	207	2	14	8	218	263	377	640	158	329	39	5	276	73	—	—	—	—	—	—
2013	26	AAA RAW	2 teams	—	536	481	126	29	3	21	46	164	2	14	8	262	329	466	795	204	347	31	9	346	73	—	—	—	—	—	—
2014	27	AAA MLE	2 teams	—	556	514	97	17	1	27	36	251	3	12	6	189	246	383	629	195	293	45	6	274	72	—	—	—	—	—	—
2014	27	AAA RAW	2 teams	—	556	475	127	22	1	38	75	189	3	12	6	267	371	558	929	291	355	34	13	401	72	—	—	—	—	—	—
2015	28	AAA MLE	3 teams	—	310	273	54	12	1	14	30	120	5	3	0	198	289	403	692	205	284	39	10	305	93	—	—	—	—	—	—
2015	28	AAA RAW	3 teams	—	310	265	58	10	2	13	38	102	5	3	0	219	328	419	747	200	296	33	12	333	93	—	—	—	—	—	—
2016	29	AAA MLE	Memphis Redbirds	—	155	144	32	5	0	4	9	53	1	3	0	222	273	340	613	118	318	34	6	270	69	—	—	—	—	—	—
2016	29	AAA RAW	Memphis Redbirds	—	155	138	39	6	0	5	15	41	1	3	0	283	357	435	792	152	366	26	10	353	69	—	—	—	—	—	—
2019	32	AAA MLE	2 teams	—	120	109	23	3	0	4	9	40	1	2	1	211	277	349	626	138	288	33	8	281	76	—	—	—	—	—	—
2019	32	AAA RAW	2 teams	—	120	103	27	3	0	5	15	37	1	2	1	262	361	437	798	175	355	31	12	355	76	—	—	—	—	—	—
2020	33	INTL MLE	Gigantes del Cibao	—	67	59	17	2	1	4	6	29	1	0	0	288	364	559	923	271	481	43	9	—	—	—	—	—	—	—	—
2020	33	INTL RAW	Gigantes del Cibao	—	67	59	17	2	1	4	6	29	1	0	0	288	364	559	923	271	481	43	9	395	154	—	—	—	—	—	—
2021	34	INTL MLE	Gigantes del Cibao	—	107	96	22	10	1	2	10	36	0	0	0	229	302	417	719	188	339	34	9	—	—	—	—	—	—	—	—
2021	34	INTL RAW	Gigantes del Cibao	—	107	96	22	10	1	2	10	36	0	0	0	229	302	417	719	188	339	34	9	315	100	—	—	—	—	—	—
2022	35	INTL MLE	Gigantes del Cibao	—	120	106	25	4	0	3	13	39	1	0	0	236	325	358	683	123	344	32	11	—	—	—	—	—	—	—	—
2022	35	INTL RAW	Gigantes del Cibao	—	120	106	25	4	0	3	13	39	1	0	0	236	325	358	683	123	344	32	11	312	97	—	—	—	—	—	—
2023	36	INTL MLE	Gigantes del Cibao	—	78	70	14	2	1	1	7	30	0	1	1	200	273	300	573	100	325	38	9	—	—	—	—	—	—	—	—
2023	36	INTL RAW	Gigantes del Cibao	—	78	70	14	2	1	1	7	30	0	1	1	200	273	300	573	100	325	38	9	259	61	—	—	—	—	—	—
2024	37	INTL MLE	Gigantes del Cibao	—	124	111	32	5	1	8	11	34	1	0	0	288	358	568	925	279	343	27	9	—	—	—	—	—	—	—	—
2024	37	INTL RAW	Gigantes del Cibao	—	124	111	32	5	1	8	11	34	1	0	0	288	358	568	925	279	343	27	9	398	156	—	—	—	—	—	—
2025	38	INTL MLE	Gigantes del Cibao	—	36	31	9	1	0	1	4	16	1	0	0	290	389	419	808	129	571	44	11	—	—	—	—	—	—	—	—
2025	38	INTL RAW	Gigantes del Cibao	—	36	31	9	1	0	1	4	16	1	0	0	290	389	419	808	129	571	44	11	367	135	—	—	—	—	—	—
2006	19	ROK MLE	AZL Mariners	—	151	139	26	5	4	5	8	69	3	3	2	187	247	388	635	201	308	46	5	263	64	—	—	—	—	—	—
2007	20	A MLE	Wisconsin Timber Rattlers	—	321	300	63	16	5	6	11	132	7	4	3	210	253	357	610	147	343	41	3	264	65	—	—	—	—	—	—
2008	21	A+ MLE	High Desert Mavericks	—	385	374	94	20	2	10	7	129	1	6	4	251	267	396	663	144	348	34	2	284	78	—	—	—	—	—	—
2009	22	A+ MLE	High Desert Mavericks	—	544	503	103	15	9	25	29	231	7	3	4	205	257	419	677	215	309	42	5	290	82	—	—	—	—	—	—
2010	23	AA MLE	2 teams	—	639	582	120	24	4	23	44	253	8	7	10	206	270	380	649	174	313	40	7	283	78	—	—	—	—	—	—
2011	24	AAA MLE	3 teams	—	603	565	130	22	5	22	24	235	9	14	2	230	272	404	675	173	353	39	4	294	85	—	—	—	—	—	—
2012	25	AAA MLE	3 teams	—	452	414	91	15	2	22	23	185	12	2	2	220	281	425	706	205	319	41	5	305	92	—	—	—	—	—	—
2013	26	AAA MLE	2 teams	—	536	501	109	25	3	16	28	207	2	14	8	218	263	375	638	158	318	39	5	276	73	—	—	—	—	—	—
2014	27	AAA MLE	2 teams	—	556	512	97	17	1	27	36	251	3	12	6	189	246	385	631	195	289	45	6	274	72	—	—	—	—	—	—
2015	28	AAA MLE	3 teams	—	310	272	54	12	1	14	30	120	5	3	0	199	289	404	693	206	290	39	10	305	93	—	—	—	—	—	—
2016	29	AAA MLE	Memphis Redbirds	—	155	144	32	5	0	4	9	53	1	3	0	222	273	340	613	118	314	34	6	270	69	—	—	—	—	—	—
2019	32	AAA MLE	2 teams	—	120	109	23	3	0	4	9	40	1	2	1	211	277	349	626	138	285	33	8	281	76	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	302	274	52	9	3	12	22	119	4	2	1	190	260	376	636	186	276	39	7	281	59	-8	+0	+1	-15	+7	-1.6
/ 162G	—	A+C		—	650	590	111	19	6	26	47	256	9	4	2	188	259	373	631	185	272	39	7	281	59	-18	+0	+1	-31	+14	-3.5
Career	—	MLE		—	5304	4898	1061	203	40	197	309	2089	63	74	43	217	272	395	667	178	327	39	6	256	59	-8	+0	+1	-15	+7	-1.6
/ 162G	—	MLE		—	650	600	130	25	5	24	38	256	8	9	5	217	272	395	667	178	327	39	6	256	59	-18	+0	+1	-31	+14	-3.5

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 AAAToros de Tijuana · 94 PAwOBA .360 → .281 (−79)K% 30.9% → 33.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.85%	÷1.111	×1.200	—	—	33.31%
BB% (unintentional) /PA	11.70%	÷1.007	×0.690	—	×0.952	7.64%
HBP% /PA	1.06%	—	×0.940	—	×0.952	0.95%
Singles /BIP	25.00%	÷0.989	×0.930	—	×0.952	22.37%
Doubles /BIP	5.77%	÷1.051	×0.830	—	×0.952	4.34%
Triples /BIP	0.00%	÷0.993	×0.920	—	×0.952	0.00%
Home runs /BIP	9.62%	÷1.023	×0.700	—	×0.952	6.26%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 105, 1B 98, 2B 110, 3B 99, K 122, BB 101 — 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 .360 → .281; ISO .222 → .156; BABIP .340 → .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).

2016 AAAMemphis Redbirds · 155 PAwOBA .339 → .270 (−69)K% 26.5% → 34.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.45%	÷0.988	×1.290	—	—	34.53%
BB% (unintentional) /PA	7.74%	÷0.983	×0.710	—	×0.982	5.49%
HBP% /PA	0.65%	—	×0.980	—	×0.982	0.62%
Singles /BIP	28.87%	÷0.989	×0.900	×0.980	×0.982	25.28%
Doubles /BIP	6.19%	÷0.941	×0.810	×0.980	×0.982	5.13%
Triples /BIP	0.00%	÷0.951	×0.810	×0.980	×0.982	0.00%
Home runs /BIP	5.15%	÷0.931	×0.780	—	×0.982	4.24%

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 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 .339 → .270; ISO .152 → .119; BABIP .366 → .314. 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 AAAPawtucket Red Sox · 115 PAwOBA .366 → .298 (−69)K% 29.6% → 37.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.57%	÷0.956	×1.200	—	—	37.13%
BB% (unintentional) /PA	8.70%	÷0.996	×0.690	—	×0.992	5.98%
HBP% /PA	0.87%	—	×0.940	—	×0.992	0.81%
Singles /BIP	20.29%	÷0.989	×0.930	×1.004	×0.992	19.00%
Doubles /BIP	7.25%	÷0.867	×0.830	×1.004	×0.992	6.91%
Triples /BIP	1.45%	÷1.012	×0.970	×1.004	×0.992	1.38%
Home runs /BIP	10.14%	÷1.012	×0.840	—	×0.992	8.35%

Factors used: league row IL. Park (home-season share, regressed): HR 102, 1B 98, 2B 73, 3B 102, K 91, BB 99 — 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 ×1.004.

Result: wOBA .366 → .298; ISO .272 → .218; BABIP .317 → .293. 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 AAAOmaha Storm Chasers · 418 PAwOBA .382 → .274 (−108)K% 33.0% → 45.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.01%	÷0.945	×1.290	—	—	45.06%
BB% (unintentional) /PA	9.81%	÷1.096	×0.710	—	×1.003	6.37%
HBP% /PA	0.72%	—	×0.980	—	×1.003	0.71%
Singles /BIP	21.74%	÷1.027	×0.900	×1.022	×1.003	19.53%
Doubles /BIP	7.39%	÷0.969	×0.810	×1.022	×1.003	6.33%
Triples /BIP	0.43%	÷0.900	×0.810	×1.022	×1.003	0.40%
Home runs /BIP	13.04%	÷0.998	×0.780	—	×1.003	10.23%

Factors used: league row PCL. Park (home-season share, regressed): HR 100, 1B 105, 2B 94, 3B 80, K 89, BB 119 — 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 ×1.022.

Result: wOBA .382 → .274; ISO .296 → .206; BABIP .337 → .289. 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 · 505 PAwOBA .335 → .276 (−59)K% 30.9% → 38.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.89%	÷1.030	×1.290	—	—	38.71%
BB% (unintentional) /PA	7.72%	÷1.049	×0.710	—	×1.018	5.32%
HBP% /PA	0.40%	—	×0.980	—	×1.018	0.40%
Singles /BIP	22.82%	÷0.983	×0.900	×1.019	×1.018	21.67%
Doubles /BIP	9.40%	÷0.957	×0.810	×1.019	×1.018	8.25%
Triples /BIP	1.01%	÷0.900	×0.810	×1.019	×1.018	0.94%
Home runs /BIP	6.38%	÷0.938	×0.780	—	×1.018	5.40%

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 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 ×1.019.

Result: wOBA .335 → .276; ISO .200 → .163; BABIP .346 → .318. 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 · 322 PAwOBA .392 → .316 (−76)K% 32.0% → 39.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.99%	÷1.042	×1.290	—	—	39.60%
BB% (unintentional) /PA	8.07%	÷1.061	×0.710	—	×1.033	5.58%
HBP% /PA	2.80%	—	×0.980	—	×1.033	2.83%
Singles /BIP	25.28%	÷0.979	×0.900	×0.950	×1.033	22.81%
Doubles /BIP	7.30%	÷0.936	×0.810	×0.950	×1.033	6.20%
Triples /BIP	0.56%	÷0.900	×0.810	×0.950	×1.033	0.50%
Home runs /BIP	11.80%	÷0.963	×0.780	—	×1.033	9.87%

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 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 ×0.950.

Result: wOBA .392 → .316; ISO .278 → .219; BABIP .369 → .321. 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 · 258 PAwOBA .390 → .309 (−81)K% 31.8% → 41.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.78%	÷0.990	×1.290	—	—	41.40%
BB% (unintentional) /PA	5.43%	÷0.976	×0.710	—	×1.048	4.14%
HBP% /PA	1.16%	—	×0.980	—	×1.048	1.19%
Singles /BIP	29.11%	÷0.960	×0.900	×0.981	×1.048	28.06%
Doubles /BIP	9.49%	÷0.896	×0.810	×0.981	×1.048	8.82%
Triples /BIP	1.27%	÷0.993	×0.810	×0.981	×1.048	1.06%
Home runs /BIP	8.23%	÷1.004	×0.780	—	×1.048	6.70%

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 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 ×0.981.

Result: wOBA .390 → .309; ISO .242 → .178; BABIP .434 → .407. 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 AAWest Tenn Diamond Jaxx · 553 PAwOBA .345 → .283 (−62)K% 32.2% → 39.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.19%	÷0.992	×1.220	—	—	39.59%
BB% (unintentional) /PA	9.58%	÷0.976	×0.680	—	×1.027	6.86%
HBP% /PA	1.45%	—	×0.840	—	×1.027	1.25%
Singles /BIP	23.55%	÷1.058	×0.920	×0.986	×1.027	20.75%
Doubles /BIP	7.42%	÷0.934	×0.910	×0.986	×1.027	7.32%
Triples /BIP	1.61%	÷1.150	×0.880	×0.986	×1.027	1.25%
Home runs /BIP	7.42%	÷0.900	×0.800	—	×1.027	6.78%

Factors used: league row SL. Park (home-season share, regressed): HR 80, 1B 112, 2B 87, 3B 130, K 98, BB 95 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.

Result: wOBA .345 → .283; ISO .209 → .179; BABIP .351 → .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).

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