Carlos Paulino

PosC

B/TR/R

Born1989-09-24

Age (2027)37

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	32	INTLDominican Rep…	77	.209/.312/.269	1	1	72	—
2023	33	INTLAguilas Cibae…	27	.250/.333/.500	2	0	134	—
2024	34	INTLAguilas Cibae…	51	.070/.200/.116	0	0	-2	—

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
2008	18	ROK	GCL Marlins	—	49	46	7	3	1	0	1	3	2	1	0	152	204	261	465	109	163	6	2	211	-7	—	—	—	—	—	—
2010	20	A	Greensboro Grasshoppers	—	216	201	37	10	0	0	6	49	2	0	0	184	215	234	449	50	242	23	3	199	-4	—	—	—	—	—	—
2011	21	A+	Bradenton Marauders	—	301	271	81	18	4	4	18	33	6	0	2	299	356	439	795	140	324	11	6	348	80	—	—	—	—	—	—
2012	22	A+	Bradenton Marauders	—	335	302	76	18	3	4	18	43	10	2	1	252	315	371	686	119	281	13	5	306	57	—	—	—	—	—	—
2013	23	AA	Altoona Curve	—	360	323	71	9	4	0	28	48	5	5	1	220	292	272	565	53	255	13	8	260	45	—	—	—	—	—	—
2013	23	INTL	Gigantes del Cibao	—	77	68	14	1	0	0	6	14	1	2	0	206	280	221	501	15	259	18	8	233	44	—	—	—	—	—	—
2014	24	AAA	Indianapolis Indians	—	32	29	6	0	0	0	1	9	0	0	0	207	233	207	440		286	28	3	191	2	—	—	—	—	—	—
2014	24	AA	Altoona Curve	—	78	71	21	4	0	1	3	19	0	0	1	296	324	394	719	99	377	24	4	305	74	—	—	—	—	—	—
2014	24	INTL	Dominican Republic	—	106	93	25	4	0	2	8	21	1	0	1	269	333	376	710	108	329	20	8	310	96	—	—	—	—	—	—
2015	25	AAA	Rochester Red Wings	—	121	109	28	5	1	0	10	9	0	0	1	257	319	321	640	64	280	7	8	289	68	—	—	—	—	—	—
2015	25	AA	Chattanooga Lookouts	—	72	63	17	4	1	0	7	6	0	0	0	270	343	365	708	95	298	8	10	312	78	—	—	—	—	—	—
2015	25	INTL	Dominican Republic	—	142	123	32	5	1	5	11	25	1	1	0	260	326	439	765	179	284	18	8	323	105	—	—	—	—	—	—
2016	26	AAA	Rochester Red Wings	—	114	99	23	5	0	0	12	22	0	0	0	232	315	283	598	51	291	19	11	273	47	—	—	—	—	—	—
2016	26	INTL	Gigantes del Cibao	—	119	114	30	3	1	1	4	20	1	1	0	263	294	333	627	70	312	17	3	283	78	—	—	—	—	—	—
2017	27	AAA	Rochester Red Wings	—	92	85	16	1	1	2	5	26	0	1	0	188	233	294	527	106	246	28	5	233	17	—	—	—	—	—	—
2017	27	AA	Chattanooga Lookouts	—	97	80	28	5	0	0	12	12	2	0	0	350	447	412	859	62	400	12	12	382	102	—	—	—	—	—	—
2017	27	INTL	Dominican Republic	—	151	135	26	4	0	2	12	32	1	1	0	193	264	267	530	74	235	21	8	242	50	—	—	—	—	—	—
2018	28	INTL	Gigantes del Cibao	—	91	78	13	1	0	3	9	17	1	0	0	167	261	295	556	128	169	19	10	249	55	—	—	—	—	—	—
2019	29	INTL	Dominican Republic	—	53	53	12	1	0	1	0	17	0	0	0	226	226	302	528	75	314	32	0	234	45	—	—	—	—	—	—
2020	30	INTL	Dominican Republic	—	50	47	11	1	0	1	3	8	0	0	1	234	280	319	599	85	263	16	6	272	70	—	—	—	—	—	—
2021	31	INTL	Dominican Republic	—	79	68	16	6	0	1	8	17	1	1	0	235	325	368	692	132	288	22	10	307	94	—	—	—	—	—	—
2022	32	INTL	Dominican Republic	—	77	67	14	1	0	1	10	19	0	1	0	209	312	269	580	60	277	25	13	275	72	—	—	—	—	—	—
2023	33	INTL	Aguilas Cibaenas	—	27	24	6	0	0	2	3	7	0	0	0	250	333	500	833	250	267	26	11	366	134	—	—	—	—	—	—
2024	34	INTL	Aguilas Cibaenas	—	51	43	3	2	0	0	6	20	1	0	0	70	200	116	316	47	130	39	12	165	-2	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	18	ROK MLE	GCL Marlins	—	49	46	6	2	1	0	1	4	2	1	0	130	184	217	401	87	131	8	2	158	-7	—	—	—	—	—	—
2010	20	A MLE	Greensboro Grasshoppers	—	216	203	32	8	0	0	4	66	2	0	0	158	182	197	379	39	218	31	2	163	-4	—	—	—	—	—	—
2011	21	A+ MLE	Bradenton Marauders	—	301	277	69	15	4	3	12	46	6	0	2	249	295	365	660	116	275	15	4	286	80	—	—	—	—	—	—
2012	22	A+ MLE	Bradenton Marauders	—	335	309	66	17	2	2	11	63	10	2	1	214	264	301	565	87	260	19	3	253	57	—	—	—	—	—	—
2013	23	AA MLE	Altoona Curve	—	360	333	71	9	4	0	18	65	5	5	1	213	264	264	528	51	256	18	5	234	45	—	—	—	—	—	—
2014	24	AAA MLE	Indianapolis Indians	—	32	29	5	0	0	0	1	11	0	0	0	172	200	172	372		257	34	3	171	2	—	—	—	—	—	—
2014	24	AA MLE	Altoona Curve	—	78	72	20	3	0	1	2	23	0	0	1	278	297	361	658	83	353	29	3	278	74	—	—	—	—	—	—
2015	25	AAA MLE	Rochester Red Wings	—	121	112	29	5	1	0	7	11	0	0	1	259	303	321	624	62	275	9	6	268	68	—	—	—	—	—	—
2015	25	AA MLE	Chattanooga Lookouts	—	72	66	17	4	1	0	4	7	0	0	0	258	300	348	648	91	287	10	6	283	78	—	—	—	—	—	—
2016	26	AAA MLE	Rochester Red Wings	—	114	102	22	4	0	0	9	26	0	0	0	216	279	255	534	39	271	23	8	238	47	—	—	—	—	—	—
2017	27	AAA MLE	Rochester Red Wings	—	92	87	15	1	1	2	3	31	0	1	0	172	200	276	476	103	229	34	3	193	17	—	—	—	—	—	—
2017	27	AA MLE	Chattanooga Lookouts	—	97	84	25	4	0	0	8	15	2	0	0	298	372	345	718	48	332	15	8	319	102	—	—	—	—	—	—
2008	18	ROK MLE	GCL Marlins	—	49	46	6	2	1	0	1	4	2	1	0	130	184	217	401	87	143	8	2	158	-7	—	—	—	—	—	—
2008	18	ROK RAW	GCL Marlins	—	49	46	7	3	1	0	1	3	2	1	0	152	204	261	465	109	163	6	2	211	-7	—	—	—	—	—	—
2010	20	A MLE	Greensboro Grasshoppers	—	216	203	32	8	0	0	4	66	2	0	0	158	182	197	379	39	232	31	2	163	-4	—	—	—	—	—	—
2010	20	A RAW	Greensboro Grasshoppers	—	216	201	37	10	0	0	6	49	2	0	0	184	215	234	449	50	242	23	3	199	-4	—	—	—	—	—	—
2011	21	A+ MLE	Bradenton Marauders	—	301	277	69	15	4	3	12	46	6	0	2	249	295	365	660	116	284	15	4	286	80	—	—	—	—	—	—
2011	21	A+ RAW	Bradenton Marauders	—	301	271	81	18	4	4	18	33	6	0	2	299	356	439	795	140	324	11	6	348	80	—	—	—	—	—	—
2012	22	A+ MLE	Bradenton Marauders	—	335	309	66	17	2	2	11	63	10	2	1	214	264	301	565	87	261	19	3	253	57	—	—	—	—	—	—
2012	22	A+ RAW	Bradenton Marauders	—	335	302	76	18	3	4	18	43	10	2	1	252	315	371	686	119	281	13	5	306	57	—	—	—	—	—	—
2013	23	AA MLE	2 teams	—	437	403	85	10	5	0	22	79	6	7	1	211	262	261	523	50	260	18	5	234	45	—	—	—	—	—	—
2013	23	AA RAW	2 teams	—	437	391	85	10	4	0	34	62	6	7	1	217	290	263	553	46	256	14	8	256	45	—	—	—	—	—	—
2014	24	INTL MLE	3 teams	—	216	200	50	7	0	2	5	68	1	0	2	250	272	315	587	65	361	31	2	247	53	—	—	—	—	—	—
2014	24	INTL RAW	3 teams	—	216	193	52	8	0	3	12	49	1	0	2	269	316	358	673	88	340	23	6	290	53	—	—	—	—	—	—
2015	25	INTL MLE	3 teams	—	335	303	80	15	4	0	20	31	1	1	1	264	312	340	652	76	292	9	6	274	71	—	—	—	—	—	—
2015	25	INTL RAW	3 teams	—	335	295	77	14	3	5	28	40	1	1	1	261	327	380	707	119	286	12	8	308	71	—	—	—	—	—	—
2016	26	INTL MLE	2 teams	—	233	212	45	7	0	0	17	54	1	1	0	212	274	245	519	33	281	23	7	238	47	—	—	—	—	—	—
2016	26	INTL RAW	2 teams	—	233	213	53	8	1	1	16	42	1	1	0	249	304	310	614	61	302	18	7	278	47	—	—	—	—	—	—
2017	27	INTL MLE	3 teams	—	340	310	71	9	2	3	19	82	3	2	0	229	280	300	580	71	298	24	6	258	61	—	—	—	—	—	—
2017	27	INTL RAW	3 teams	—	340	300	70	10	1	4	29	70	3	2	0	233	307	313	621	80	288	21	9	279	61	—	—	—	—	—	—
2018	28	INTL MLE	Gigantes del Cibao	—	91	78	13	1	0	3	9	17	1	0	0	167	261	295	556	128	169	19	10	—	—	—	—	—	—	—	—
2018	28	INTL RAW	Gigantes del Cibao	—	91	78	13	1	0	3	9	17	1	0	0	167	261	295	556	128	169	19	10	249	55	—	—	—	—	—	—
2019	29	INTL MLE	Dominican Republic	—	53	53	12	1	0	1	0	17	0	0	0	226	226	302	528	75	314	32	0	—	—	—	—	—	—	—	—
2019	29	INTL RAW	Dominican Republic	—	53	53	12	1	0	1	0	17	0	0	0	226	226	302	528	75	314	32	0	234	45	—	—	—	—	—	—
2020	30	INTL MLE	Dominican Republic	—	50	47	11	1	0	1	3	8	0	0	1	234	280	319	599	85	263	16	6	—	—	—	—	—	—	—	—
2020	30	INTL RAW	Dominican Republic	—	50	47	11	1	0	1	3	8	0	0	1	234	280	319	599	85	263	16	6	272	70	—	—	—	—	—	—
2021	31	INTL MLE	Dominican Republic	—	79	68	16	6	0	1	8	17	1	1	0	235	325	368	692	132	288	22	10	—	—	—	—	—	—	—	—
2021	31	INTL RAW	Dominican Republic	—	79	68	16	6	0	1	8	17	1	1	0	235	325	368	692	132	288	22	10	307	94	—	—	—	—	—	—
2022	32	INTL MLE	Dominican Republic	—	77	67	14	1	0	1	10	19	0	1	0	209	312	269	580	60	277	25	13	—	—	—	—	—	—	—	—
2022	32	INTL RAW	Dominican Republic	—	77	67	14	1	0	1	10	19	0	1	0	209	312	269	580	60	277	25	13	275	72	—	—	—	—	—	—
2023	33	INTL MLE	Aguilas Cibaenas	—	27	24	6	0	0	2	3	7	0	0	0	250	333	500	833	250	267	26	11	—	—	—	—	—	—	—	—
2023	33	INTL RAW	Aguilas Cibaenas	—	27	24	6	0	0	2	3	7	0	0	0	250	333	500	833	250	267	26	11	366	134	—	—	—	—	—	—
2024	34	INTL MLE	Aguilas Cibaenas	—	51	43	3	2	0	0	6	20	1	0	0	70	200	116	316	47	130	39	12	—	—	—	—	—	—	—	—
2024	34	INTL RAW	Aguilas Cibaenas	—	51	43	3	2	0	0	6	20	1	0	0	70	200	116	316	47	130	39	12	165	-2	—	—	—	—	—	—
2008	18	ROK MLE	GCL Marlins	—	49	46	6	2	1	0	1	4	2	1	0	130	184	217	401	87	131	8	2	158	-7	—	—	—	—	—	—
2010	20	A MLE	Greensboro Grasshoppers	—	216	208	32	8	0	0	4	66	2	0	0	154	182	192	374	38	218	31	2	163	-4	—	—	—	—	—	—
2011	21	A+ MLE	Bradenton Marauders	—	301	280	69	15	4	3	12	46	6	0	2	246	295	361	656	114	275	15	4	286	80	—	—	—	—	—	—
2012	22	A+ MLE	Bradenton Marauders	—	335	311	66	17	2	2	11	63	10	2	1	212	264	299	563	87	260	19	3	253	57	—	—	—	—	—	—
2013	23	AA MLE	2 teams	—	437	406	85	10	5	0	22	79	6	7	1	209	262	259	521	49	256	18	5	234	45	—	—	—	—	—	—
2014	24	INTL MLE	3 teams	—	216	208	50	7	0	2	5	68	1	0	2	240	272	303	575	62	325	31	2	247	53	—	—	—	—	—	—
2015	25	INTL MLE	3 teams	—	335	311	80	15	4	0	20	31	1	1	1	257	312	331	643	74	279	9	6	274	71	—	—	—	—	—	—
2016	26	INTL MLE	2 teams	—	233	213	45	7	0	0	17	54	1	1	0	211	274	244	518	33	271	23	7	238	47	—	—	—	—	—	—
2017	27	INTL MLE	3 teams	—	340	315	71	9	2	3	19	82	3	2	0	225	280	295	575	70	282	24	6	258	61	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2890	2643	579	102	18	19	150	598	35	16	8	219	270	293	563	74	273	21	5	209	28	-249	+0	+0	+52	+63	-13.7
/ 162G	—	MLE		—	650	594	130	23	4	4	34	134	8	4	2	219	270	291	562	72	273	21	5	209	28	-56	+0	+0	+12	+14	-3.1

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 AAChattanooga Lookouts · 97 PAwOBA .378 → .319 (−59)K% 12.4% → 15.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.37%	÷1.008	×1.220	—	—	14.98%
BB% (unintentional) /PA	11.34%	÷0.940	×0.680	—	×0.968	7.94%
HBP% /PA	2.06%	—	×0.840	—	×0.968	1.68%
Singles /BIP	33.82%	÷1.007	×0.920	×0.950	×0.968	28.42%
Doubles /BIP	7.35%	÷1.084	×0.910	×0.950	×0.968	5.68%
Triples /BIP	0.00%	÷1.018	×0.880	×0.950	×0.968	0.00%
Home runs /BIP	0.00%	÷0.975	×0.800	—	×0.968	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 95, 1B 101, 2B 117, 3B 104, K 102, BB 88 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .378 → .319; ISO .062 → .052; BABIP .400 → .332. 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 AAARochester Red Wings · 92 PAwOBA .226 → .193 (−33)K% 28.3% → 34.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.26%	÷0.997	×1.200	—	—	34.02%
BB% (unintentional) /PA	5.43%	÷1.080	×0.690	—	×0.992	3.45%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	20.34%	÷1.019	×0.930	×1.050	×0.992	19.33%
Doubles /BIP	1.69%	÷1.085	×0.830	×1.050	×0.992	1.35%
Triples /BIP	1.69%	÷1.085	×0.970	×1.050	×0.992	1.58%
Home runs /BIP	3.39%	÷0.956	×0.840	—	×0.992	2.96%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 104, 2B 117, 3B 117, K 99, BB 116 — 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 .226 → .193; ISO .106 → .091; BABIP .246 → .229. 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 AAARochester Red Wings · 114 PAwOBA .271 → .238 (−33)K% 19.3% → 23.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.30%	÷1.007	×1.200	—	—	22.99%
BB% (unintentional) /PA	10.53%	÷0.968	×0.690	—	×1.003	7.53%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	23.38%	÷0.953	×0.930	×1.018	×1.003	23.31%
Doubles /BIP	6.49%	÷1.224	×0.830	×1.018	×1.003	4.50%
Triples /BIP	0.00%	÷0.971	×0.970	×1.018	×1.003	0.00%
Home runs /BIP	0.00%	÷0.951	×0.840	—	×1.003	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 90, 1B 90, 2B 145, 3B 94, K 101, BB 94 — 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 ×1.018.

Result: wOBA .271 → .238; ISO .051 → .036; BABIP .291 → .271. 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 AAARochester Red Wings · 121 PAwOBA .281 → .268 (−13)K% 7.4% → 8.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.44%	÷1.030	×1.200	—	—	8.66%
BB% (unintentional) /PA	8.26%	÷0.980	×0.690	—	×1.018	5.92%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	22.00%	÷0.979	×0.930	×1.035	×1.018	22.02%
Doubles /BIP	5.00%	÷0.987	×0.830	×1.035	×1.018	4.43%
Triples /BIP	1.00%	÷0.932	×0.970	×1.035	×1.018	1.10%
Home runs /BIP	0.00%	÷0.956	×0.840	—	×1.018	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 96, 2B 97, 3B 86, K 106, 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 ×1.035.

Result: wOBA .281 → .268; ISO .064 → .063; BABIP .280 → .275. 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 AAChattanooga Lookouts · 72 PAwOBA .305 → .283 (−22)K% 8.3% → 10.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.33%	÷0.988	×1.220	—	—	10.29%
BB% (unintentional) /PA	9.72%	÷1.059	×0.680	—	×0.988	6.17%
HBP% /PA	0.00%	—	×0.840	—	×0.988	0.00%
Singles /BIP	21.05%	÷0.980	×0.920	×1.050	×0.988	20.51%
Doubles /BIP	7.02%	÷0.999	×0.910	×1.050	×0.988	6.63%
Triples /BIP	1.75%	÷1.020	×0.880	×1.050	×0.988	1.57%
Home runs /BIP	0.00%	÷1.232	×0.800	—	×0.988	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 146, 1B 96, 2B 100, 3B 104, K 98, BB 112 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .305 → .283; ISO .095 → .093; BABIP .298 → .287. 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 AAAltoona Curve · 78 PAwOBA .304 → .278 (−26)K% 24.4% → 30.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.36%	÷0.986	×1.220	—	—	30.14%
BB% (unintentional) /PA	3.85%	÷1.078	×0.700	—	×0.998	2.49%
HBP% /PA	0.00%	—	×0.850	—	×0.998	0.00%
Singles /BIP	30.77%	÷1.017	×0.970	×1.008	×0.998	29.53%
Doubles /BIP	7.69%	÷1.020	×0.860	×1.008	×0.998	6.53%
Triples /BIP	0.00%	÷1.150	×0.950	×1.008	×0.998	0.00%
Home runs /BIP	1.92%	÷0.833	×0.780	—	×0.998	1.80%

Factors used: league row EL. Park (home-season share, regressed): HR 67, 1B 103, 2B 104, 3B 130, K 97, BB 116 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.

Result: wOBA .304 → .278; ISO .099 → .088; BABIP .377 → .353. 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 AAAIndianapolis Indians · 32 PAwOBA .193 → .171 (−22)K% 28.1% → 34.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.12%	÷0.968	×1.200	—	—	34.86%
BB% (unintentional) /PA	3.12%	÷0.944	×0.690	—	×1.033	2.36%
HBP% /PA	0.00%	—	×0.940	—	×1.033	0.00%
Singles /BIP	30.00%	÷1.068	×0.930	—	×1.033	26.99%
Doubles /BIP	0.00%	÷0.932	×0.830	—	×1.033	0.00%
Triples /BIP	0.00%	÷1.150	×0.970	—	×1.033	0.00%
Home runs /BIP	0.00%	÷0.854	×0.840	—	×1.033	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 71, 1B 114, 2B 86, 3B 130, K 94, BB 89 — 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).

Result: wOBA .193 → .171; ISO .000 → .000; BABIP .286 → .257. 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 AAAltoona Curve · 360 PAwOBA .256 → .234 (−22)K% 13.3% → 18.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.33%	÷0.905	×1.220	—	—	17.97%
BB% (unintentional) /PA	7.78%	÷1.073	×0.700	—	×1.012	5.13%
HBP% /PA	1.39%	—	×0.850	—	×1.012	1.19%
Singles /BIP	21.09%	÷0.997	×0.970	×1.025	×1.012	21.29%
Doubles /BIP	3.27%	÷0.933	×0.860	×1.025	×1.012	3.13%
Triples /BIP	1.45%	÷1.006	×0.950	×1.025	×1.012	1.43%
Home runs /BIP	0.00%	÷0.836	×0.780	—	×1.012	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 67, 1B 99, 2B 87, 3B 101, K 81, BB 115 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.025.

Result: wOBA .256 → .234; ISO .053 → .050; BABIP .255 → .256. 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 — .