Carlos Triunfel

PosSS

B/TR/R

Born1990-02-27

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2017

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2015	25	AAA/INTL2 orgs	374	.264/.288/.396	6	3	63	—	.239/.255/.352
2016	26	AAA/INTL2 orgs	423	.272/.295/.381	4	1	65	—	.256/.273/.354
2017	27	AAAOlmecas de Ta…	58	.231/.310/.231	0	0	45	—	.226/.293/.226

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)
2007	17	A+	High Desert Mavericks	—	225	208	60	10	2	0	12	31	2	3	4	288	333	356	689	67	339	14	5	308	74	—	—	—	—	—	—
2007	17	A	Wisconsin Timber Rattlers	—	164	152	47	8	2	0	5	23	3	4	8	309	344	388	732	79	362	14	3	321	86	—	—	—	—	—	—
2008	18	A+	High Desert Mavericks	—	479	436	125	20	4	8	30	52	5	30	9	287	340	406	746	119	307	11	6	329	86	—	—	—	—	—	—
2009	19	AA	West Tenn Diamond Jaxx	—	28	26	6	1	0	0	1	2	1	0	0	231	286	269	555	38	250	7	4	259	45	—	—	—	—	—	—
2009	19	ROK	AZL Mariners	—	16	16	4	1	0	0	0	2	0	1	0	250	250	312	562	62	286	12	0	250	9	—	—	—	—	—	—
2010	20	AA	West Tenn Diamond Jaxx	—	498	470	121	12	1	7	13	54	7	2	8	257	288	332	620	74	277	11	3	276	55	—	—	—	—	—	—
2010	20	INTL	Tigres del Licey	—	29	29	3	2	0	0	0	6	0	0	0	103	103	172	276	69	130	21	0	120	-33	—	—	—	—	—	—
2011	21	AAA	Tacoma Rainiers	—	117	111	31	6	1	0	2	17	2	1	0	279	304	351	656	72	326	15	2	290	72	—	—	—	—	—	—
2011	21	AA	Jackson Generals	—	433	395	111	22	2	6	25	71	10	5	7	281	340	392	732	111	330	16	6	328	82	—	—	—	—	—	—
2011	21	INTL	Tigres del Licey	—	51	49	7	1	0	0	0	11	1	0	1	143	160	163	323	20	184	22	0	146	-15	—	—	—	—	—	—
2012	22	MLB	Seattle Mariners	—	24	22	5	2	0	0	1	4	0	0	0	227	261	318	579	91	278	17	4	249	56	-1	+0	+1	+6	+1	0.7
2012	22	AAA	Tacoma Rainiers	—	543	496	129	31	2	10	23	89	13	3	2	260	310	391	701	131	297	16	4	308	72	—	—	—	—	—	—
2012	22	INTL	Tigres del Licey	—	39	34	5	0	0	0	4	4	0	0	0	147	237	147	384		167	10	10	188	13	—	—	—	—	—	—
2013	23	MLB	Seattle Mariners	—	47	44	6	1	0	0	0	11	1	0	0	136	156	159	315	23	176	23	0	139	-19	-7	+0	-1	+6	+1	-0.1
2013	23	AAA	Tacoma Rainiers	—	413	383	108	22	3	5	17	76	10	6	4	282	329	394	724	112	340	18	4	323	81	—	—	—	—	—	—
2013	23	INTL	Tigres del Licey	—	79	74	13	3	1	1	4	18	1	0	0	176	228	284	512	108	218	23	5	232	43	—	—	—	—	—	—
2014	24	MLB	Los Angeles Dodgers	—	16	15	2	0	0	1	1	5	0	0	0	133	188	333	521	200	111	31	6	230	40	-1	+0	-1	+4	+0	0.3
2014	24	AAA	Albuquerque Isotopes	—	321	300	67	12	4	4	12	55	2	2	1	223	258	330	588	107	258	17	4	257	35	—	—	—	—	—	—
2014	24	INTL	Tigres del Licey	—	54	51	10	1	0	0	3	8	0	0	1	196	241	216	456	20	233	15	6	213	31	—	—	—	—	—	—
2015	25	AAA	Sacramento River Cats	—	329	314	83	17	5	5	8	59	3	3	3	264	289	398	687	134	310	18	2	300	61	—	—	—	—	—	—
2015	25	INTL	Gigantes del Cibao	—	45	42	11	0	1	1	0	5	1	0	0	262	279	381	660	119	270	11	0	279	75	—	—	—	—	—	—
2016	26	AAA	Louisville Bats	—	394	378	105	29	1	4	3	70	7	1	1	278	296	392	688	114	331	18	1	301	66	—	—	—	—	—	—
2016	26	INTL	Gigantes del Cibao	—	29	26	5	1	0	0	2	6	1	0	0	192	276	231	507	38	250	21	7	243	50	—	—	—	—	—	—
2017	27	AAA	Olmecas de Tabasco	—	58	52	12	0	0	0	4	10	2	0	1	231	310	231	541		286	17	7	261	45	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	87	81	13	3	0	1	2	20	1	0	0	160	190	235	425	74	197	23	2	186	12	-9	+0	-0	+16	+2	0.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	17	A+ MLE	High Desert Mavericks	—	225	211	58	9	2	0	9	42	2	3	4	275	311	336	647	62	333	19	4	277	74	—	—	—	—	—	—
2007	17	A MLE	Wisconsin Timber Rattlers	—	164	154	46	7	2	0	3	31	3	4	8	299	325	370	695	71	356	19	2	296	86	—	—	—	—	—	—
2008	18	A+ MLE	High Desert Mavericks	—	479	443	118	17	3	8	23	69	5	30	9	266	310	372	682	106	292	14	5	296	86	—	—	—	—	—	—
2009	19	AA MLE	West Tenn Diamond Jaxx	—	28	26	6	1	0	0	1	2	1	0	0	231	286	269	555	38	241	7	4	234	45	—	—	—	—	—	—
2009	19	ROK MLE	AZL Mariners	—	16	16	3	1	0	0	0	3	0	1	0	188	188	250	438	62	229	19	0	181	9	—	—	—	—	—	—
2010	20	AA MLE	West Tenn Diamond Jaxx	—	498	474	115	13	1	7	9	66	7	2	8	243	267	319	586	76	260	13	2	250	55	—	—	—	—	—	—
2011	21	AAA MLE	Tacoma Rainiers	—	117	111	31	6	1	0	2	22	2	1	0	279	304	351	656	72	329	19	2	275	72	—	—	—	—	—	—
2011	21	AA MLE	Jackson Generals	—	433	404	107	21	2	4	16	84	10	5	7	265	309	356	666	92	318	19	4	289	82	—	—	—	—	—	—
2012	22	MLB MLE	Seattle Mariners	—	24	22	5	2	0	0	1	4	0	0	0	227	261	318	579	91	278	17	4	252	56	-1	+0	+1	+6	+1	0.7
2012	22	AAA MLE	Tacoma Rainiers	—	543	503	120	28	2	8	16	110	13	3	2	239	280	350	630	111	281	20	3	274	72	—	—	—	—	—	—
2013	23	MLB MLE	Seattle Mariners	—	47	44	6	1	0	0	0	11	1	0	0	136	156	159	315	23	176	23	0	140	-19	-7	+0	-1	+6	+1	-0.1
2013	23	AAA MLE	Tacoma Rainiers	—	413	388	102	20	3	4	12	95	10	6	4	263	302	361	663	98	333	23	3	288	81	—	—	—	—	—	—
2014	24	MLB MLE	Los Angeles Dodgers	—	16	15	2	0	0	1	1	5	0	0	0	133	188	333	521	200	111	31	6	227	40	-1	+0	-1	+4	+0	0.3
2014	24	AAA MLE	Albuquerque Isotopes	—	321	305	62	11	3	3	7	74	2	2	1	203	226	289	515	85	245	23	2	220	35	—	—	—	—	—	—
2015	25	AAA MLE	Sacramento River Cats	—	329	318	76	14	5	4	4	73	3	3	3	239	255	352	608	113	288	22	1	259	61	—	—	—	—	—	—
2016	26	AAA MLE	Louisville Bats	—	394	379	97	23	1	4	2	85	7	1	1	256	273	354	627	98	313	22	1	266	66	—	—	—	—	—	—
2017	27	AAA MLE	Olmecas de Tabasco	—	58	53	12	0	0	0	3	12	2	0	1	226	293	226	520		285	21	5	235	45	—	—	—	—	—	—
2007	17	A+ MLE	2 teams	—	389	365	104	16	4	0	12	73	5	7	12	285	317	351	667	66	355	19	3	285	79	—	—	—	—	—	—
2007	17	A+ RAW	2 teams	—	389	360	107	18	4	0	17	54	5	7	12	297	338	369	707	72	349	14	4	314	79	—	—	—	—	—	—
2008	18	A+ MLE	High Desert Mavericks	—	479	443	118	17	3	8	23	69	5	30	9	266	310	372	682	106	296	14	5	296	86	—	—	—	—	—	—
2008	18	A+ RAW	High Desert Mavericks	—	479	436	125	20	4	8	30	52	5	30	9	287	340	406	746	119	307	11	6	329	86	—	—	—	—	—	—
2009	19	AA MLE	2 teams	—	44	42	9	2	0	0	1	5	1	1	0	214	250	262	512	48	243	11	2	215	31	—	—	—	—	—	—
2009	19	AA RAW	2 teams	—	44	42	10	2	0	0	1	4	1	1	0	238	273	286	558	48	263	9	2	255	31	—	—	—	—	—	—
2010	20	AA MLE	2 teams	—	527	503	121	13	1	7	9	70	7	2	8	241	264	312	576	72	266	13	2	250	55	—	—	—	—	—	—
2010	20	AA RAW	2 teams	—	527	499	124	14	1	7	13	60	7	2	8	248	277	323	600	74	269	11	2	267	55	—	—	—	—	—	—
2011	21	AA MLE	3 teams	—	601	563	150	29	3	5	19	116	13	6	8	266	306	355	661	89	327	19	3	286	80	—	—	—	—	—	—
2011	21	AA RAW	3 teams	—	601	555	149	29	3	6	27	99	13	6	8	268	318	364	682	95	317	16	4	305	80	—	—	—	—	—	—
2012	22	AAA MLE	3 teams	—	606	562	134	32	2	9	18	122	13	3	2	238	278	351	629	112	287	20	3	273	71	—	—	—	—	—	—
2012	22	AAA RAW	3 teams	—	606	552	139	33	2	10	28	97	13	3	2	252	304	373	677	121	287	16	5	298	71	—	—	—	—	—	—
2013	23	AAA MLE	3 teams	—	539	508	126	24	3	5	14	125	12	6	4	248	285	337	621	89	318	23	3	273	71	—	—	—	—	—	—
2013	23	AAA RAW	3 teams	—	539	501	127	26	4	6	21	105	12	6	4	253	300	357	657	104	309	19	4	293	71	—	—	—	—	—	—
2014	24	AAA MLE	3 teams	—	391	373	73	12	3	5	9	92	2	2	2	196	219	284	503	88	244	24	2	220	35	—	—	—	—	—	—
2014	24	AAA RAW	3 teams	—	391	366	79	13	4	5	16	68	2	2	2	216	253	314	567	98	250	17	4	250	35	—	—	—	—	—	—
2015	25	AAA MLE	2 teams	—	374	360	86	16	5	5	4	83	4	3	3	239	255	353	608	114	295	22	1	259	61	—	—	—	—	—	—
2015	25	AAA RAW	2 teams	—	374	356	94	17	6	6	8	64	4	3	3	264	288	396	684	132	304	17	2	298	61	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	423	407	105	25	1	4	2	92	8	1	1	258	276	354	630	96	324	22	0	266	66	—	—	—	—	—	—
2016	26	AAA RAW	2 teams	—	423	404	110	30	1	4	5	76	8	1	1	272	295	381	676	109	326	18	1	297	66	—	—	—	—	—	—
2017	27	AAA MLE	Olmecas de Tabasco	—	58	53	12	0	0	0	3	12	2	0	1	226	293	226	520		293	21	5	235	45	—	—	—	—	—	—
2017	27	AAA RAW	Olmecas de Tabasco	—	58	52	12	0	0	0	4	10	2	0	1	231	310	231	541		286	17	7	261	45	—	—	—	—	—	—
2007	17	A+ MLE	2 teams	—	389	369	104	16	4	0	12	73	5	7	12	282	317	347	664	65	343	19	3	285	79	—	—	—	—	—	—
2008	18	A+ MLE	High Desert Mavericks	—	479	448	118	17	3	8	23	69	5	30	9	263	310	368	678	105	292	14	5	296	86	—	—	—	—	—	—
2009	19	AA MLE	2 teams	—	44	42	9	2	0	0	1	5	1	1	0	214	250	262	512	48	237	11	2	215	31	—	—	—	—	—	—
2010	20	AA MLE	2 teams	—	527	506	121	13	1	7	9	70	7	2	8	239	264	310	574	71	260	13	2	250	55	—	—	—	—	—	—
2011	21	AA MLE	3 teams	—	601	564	150	29	3	5	19	116	13	6	8	266	306	355	660	89	320	19	3	286	80	—	—	—	—	—	—
2012	22	AAA MLE	3 teams	—	606	570	134	32	2	9	18	122	13	3	2	235	278	346	624	111	281	20	3	273	71	—	—	—	—	—	—
2013	23	AAA MLE	3 teams	—	539	508	126	24	3	5	14	125	12	6	4	248	285	337	621	89	317	23	3	273	71	—	—	—	—	—	—
2014	24	AAA MLE	3 teams	—	391	377	73	12	3	5	9	92	2	2	2	194	219	281	500	88	239	24	2	220	35	—	—	—	—	—	—
2015	25	AAA MLE	2 teams	—	374	363	86	16	5	5	4	83	4	3	3	237	255	350	605	113	288	22	1	259	61	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	423	410	105	25	1	4	2	92	8	1	1	256	276	351	627	95	313	22	0	266	66	—	—	—	—	—	—
2017	27	AAA MLE	Olmecas de Tabasco	—	58	53	12	0	0	0	3	12	2	0	1	226	293	226	520		285	21	5	235	45	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	87	81	13	3	0	1	2	20	1	0	0	160	190	235	425	74	197	23	2	186	68	-9	+0	-0	+16	+2	0.9
/ 162G	—	A+C		—	650	605	96	22	0	7	15	149	7	0	0	159	188	230	418	71	195	23	2	186	68	-68	+0	-0	+123	+14	7.0
Career	—	MLE		—	4431	4179	1038	186	25	48	114	859	72	61	50	248	280	339	620	91	300	19	3	268	68	-9	+0	-0	+16	+2	0.9
/ 162G	—	MLE		—	650	613	152	27	4	7	17	126	11	9	7	248	281	339	620	91	300	19	3	268	68	-68	+0	-0	+123	+14	7.0

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 AAAOlmecas de Tabasco · 58 PAwOBA .255 → .235 (−20)K% 17.2% → 20.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.24%	÷1.020	×1.200	—	—	20.29%
BB% (unintentional) /PA	6.90%	÷1.045	×0.690	—	×1.003	4.57%
HBP% /PA	3.45%	—	×0.940	—	×1.003	3.25%
Singles /BIP	28.57%	÷0.984	×0.930	×1.050	×1.003	28.45%
Doubles /BIP	0.00%	÷0.976	×0.830	×1.050	×1.003	0.00%
Triples /BIP	0.00%	÷1.150	×0.920	×1.050	×1.003	0.00%
Home runs /BIP	0.00%	÷0.886	×0.700	—	×1.003	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 77, 1B 97, 2B 95, 3B 130, K 104, BB 109 — 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 .255 → .235; ISO .000 → .000; BABIP .286 → .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 AAALouisville Bats · 394 PAwOBA .292 → .266 (−26)K% 17.8% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.77%	÷0.984	×1.200	—	—	21.66%
BB% (unintentional) /PA	0.51%	÷0.978	×0.690	—	×1.018	0.36%
HBP% /PA	1.78%	—	×0.940	—	×1.018	1.70%
Singles /BIP	23.05%	÷0.952	×0.930	×1.009	×1.018	23.12%
Doubles /BIP	9.42%	÷1.053	×0.830	×1.009	×1.018	7.62%
Triples /BIP	0.32%	÷1.150	×0.970	×1.009	×1.018	0.28%
Home runs /BIP	1.30%	÷0.882	×0.840	—	×1.018	1.26%

Factors used: league row IL. Park (home-season share, regressed): HR 76, 1B 90, 2B 111, 3B 130, K 97, BB 96 — 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 ×1.009.

Result: wOBA .292 → .266; ISO .114 → .095; BABIP .331 → .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).

2015 AAASacramento River Cats · 329 PAwOBA .290 → .259 (−31)K% 17.9% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.93%	÷1.047	×1.290	—	—	22.10%
BB% (unintentional) /PA	1.52%	÷0.960	×0.710	—	×1.033	1.16%
HBP% /PA	0.91%	—	×0.980	—	×1.033	0.92%
Singles /BIP	21.96%	÷1.003	×0.900	×1.037	×1.033	21.10%
Doubles /BIP	6.67%	÷1.024	×0.810	×1.037	×1.033	5.65%
Triples /BIP	1.96%	÷0.925	×0.810	×1.037	×1.033	1.84%
Home runs /BIP	1.96%	÷0.982	×0.780	—	×1.033	1.61%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 101, 2B 105, 3B 85, K 109, BB 92 — 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 ×1.037.

Result: wOBA .290 → .259; ISO .134 → .112; BABIP .310 → .288. 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 AAAAlbuquerque Isotopes · 321 PAwOBA .250 → .220 (−30)K% 17.1% → 23.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.13%	÷0.955	×1.290	—	—	23.14%
BB% (unintentional) /PA	3.12%	÷1.049	×0.710	—	×1.048	2.21%
HBP% /PA	0.62%	—	×0.980	—	×1.048	0.64%
Singles /BIP	19.18%	÷1.008	×0.900	×1.048	×1.048	18.81%
Doubles /BIP	4.90%	÷0.982	×0.810	×1.048	×1.048	4.44%
Triples /BIP	1.63%	÷1.150	×0.810	×1.048	×1.048	1.26%
Home runs /BIP	1.63%	÷1.078	×0.780	—	×1.048	1.24%

Factors used: league row PCL. Park (home-season share, regressed): HR 116, 1B 102, 2B 96, 3B 130, K 91, 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 ×1.048.

Result: wOBA .250 → .220; ISO .107 → .085; BABIP .258 → .245. 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 · 413 PAwOBA .315 → .288 (−26)K% 18.4% → 23.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.40%	÷1.030	×1.290	—	—	23.06%
BB% (unintentional) /PA	4.12%	÷1.049	×0.710	—	×1.050	2.93%
HBP% /PA	2.42%	—	×0.980	—	×1.050	2.49%
Singles /BIP	25.41%	÷0.983	×0.900	×1.038	×1.050	25.35%
Doubles /BIP	7.17%	÷0.957	×0.810	×1.038	×1.050	6.61%
Triples /BIP	0.98%	÷0.900	×0.810	×1.038	×1.050	0.96%
Home runs /BIP	1.63%	÷0.938	×0.780	—	×1.050	1.42%

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 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 ×1.038.

Result: wOBA .315 → .288; ISO .112 → .099; BABIP .340 → .333. 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 · 543 PAwOBA .302 → .274 (−27)K% 16.4% → 20.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.39%	÷1.042	×1.290	—	—	20.29%
BB% (unintentional) /PA	4.24%	÷1.061	×0.710	—	×1.050	2.98%
HBP% /PA	2.39%	—	×0.980	—	×1.050	2.46%
Singles /BIP	21.13%	÷0.979	×0.900	×1.001	×1.050	20.43%
Doubles /BIP	7.62%	÷0.936	×0.810	×1.001	×1.050	6.93%
Triples /BIP	0.49%	÷0.900	×0.810	×1.001	×1.050	0.47%
Home runs /BIP	2.46%	÷0.963	×0.780	—	×1.050	2.09%

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 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 ×1.001.

Result: wOBA .302 → .274; ISO .131 → .115; BABIP .297 → .281. 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 AAJackson Generals · 433 PAwOBA .318 → .289 (−29)K% 16.4% → 19.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.40%	÷1.031	×1.220	—	—	19.41%
BB% (unintentional) /PA	5.31%	÷1.063	×0.680	—	×1.050	3.57%
HBP% /PA	2.31%	—	×0.840	—	×1.050	2.04%
Singles /BIP	25.00%	÷0.986	×0.920	×1.004	×1.050	24.58%
Doubles /BIP	6.79%	÷1.028	×0.910	×1.004	×1.050	6.33%
Triples /BIP	0.62%	÷1.150	×0.880	×1.004	×1.050	0.50%
Home runs /BIP	1.85%	÷1.130	×0.800	—	×1.050	1.38%

Factors used: league row SL. Park (home-season share, regressed): HR 126, 1B 97, 2B 106, 3B 130, K 106, BB 113 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.

Result: wOBA .318 → .289; ISO .111 → .094; BABIP .330 → .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).

2011 AAATacoma Rainiers · 117 PAwOBA .284 → .275 (−9)K% 14.5% → 18.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.53%	÷0.990	×1.290	—	—	18.93%
BB% (unintentional) /PA	1.71%	÷0.976	×0.710	—	×1.050	1.31%
HBP% /PA	1.71%	—	×0.980	—	×1.050	1.76%
Singles /BIP	25.53%	÷0.960	×0.900	×1.036	×1.050	26.06%
Doubles /BIP	6.38%	÷0.896	×0.810	×1.036	×1.050	6.28%
Triples /BIP	1.06%	÷0.993	×0.810	×1.036	×1.050	0.94%
Home runs /BIP	0.00%	÷1.004	×0.780	—	×1.050	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 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 ×1.036.

Result: wOBA .284 → .275; ISO .072 → .067; BABIP .326 → .329. 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 — .