A.J. Jimenez

PosC

B/TR/R

Born1990-05-01

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	27	AAA/INTL2 orgs	227	.238/.272/.383	7	1	37	—	.197/.224/.308
2018	28	INTLPuerto Rico	127	.243/.352/.430	3	1	121	—
2019	29	INTLPuerto Rico	103	.244/.404/.346	1	0	117	—

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 Blue Jays	—	52	47	9	2	0	0	3	16	1	5	2	191	255	234	489	43	290	31	6	226	-12	—	—	—	—	—	—
2009	19	A	Lansing Lugnuts	—	294	278	73	15	1	3	7	72	1	5	2	263	283	356	639	94	340	24	2	278	47	—	—	—	—	—	—
2010	20	A	Lansing Lugnuts	—	293	262	80	22	0	4	18	56	3	17	4	305	356	435	791	130	362	19	6	342	82	—	—	—	—	—	—
2010	20	INTL	Criollos de Caguas	—	101	94	23	4	0	0	4	28	1	1	0	245	283	287	570	43	343	28	4	256	59	—	—	—	—	—	—
2011	21	A+	Dunedin Blue Jays	—	422	379	115	29	1	4	28	60	3	11	2	303	356	417	773	113	348	14	7	337	97	—	—	—	—	—	—
2011	21	INTL	Criollos de Caguas	—	100	90	17	5	1	1	6	9	2	1	1	189	255	300	555	111	200	9	6	248	54	—	—	—	—	—	—
2012	22	AA	New Hampshire Fisher Cats	—	113	105	27	4	1	2	5	14	1	2	3	257	297	371	669	114	278	12	4	294	72	—	—	—	—	—	—
2013	23	AAA	Buffalo Bisons	—	31	30	7	1	0	0	1	2	0	0	1	233	258	267	525	33	250	6	3	239	33	—	—	—	—	—	—
2013	23	AA	New Hampshire Fisher Cats	—	223	203	56	15	0	3	16	37	1	1	2	276	332	394	726	118	319	17	7	322	78	—	—	—	—	—	—
2013	23	A+	Dunedin Blue Jays	—	29	28	12	3	0	1	1	3	0	0	0	429	448	643	1.091	214	458	10	3	478	152	—	—	—	—	—	—
2014	24	AAA	Buffalo Bisons	—	237	219	57	13	1	2	13	33	0	1	1	260	302	356	658	96	291	14	5	290	70	—	—	—	—	—	—
2014	24	AA	New Hampshire Fisher Cats	—	102	94	21	8	0	1	6	19	1	1	0	223	277	340	618	117	267	19	6	276	48	—	—	—	—	—	—
2014	24	INTL	Puerto Rico	—	121	110	35	8	1	1	10	10	1	0	0	318	380	436	817	118	343	8	8	366	134	—	—	—	—	—	—
2015	25	AAA	Buffalo Bisons	—	98	87	19	7	1	0	9	12	1	2	0	218	299	322	621	103	250	12	9	281	63	—	—	—	—	—	—
2015	25	AA	New Hampshire Fisher Cats	—	21	21	2	0	0	0	0	6	0	0	0	95	95	95	190		133	29	0	86	-64	—	—	—	—	—	—
2016	26	AAA	Buffalo Bisons	—	248	228	55	17	1	4	13	33	4	1	1	241	294	377	671	136	263	13	5	297	57	—	—	—	—	—	—
2016	26	INTL	Cangrejeros de Santurce	—	144	132	31	7	2	0	6	17	2	4	0	235	279	318	597	83	263	12	4	262	64	—	—	—	—	—	—
2017	27	AAA	Round Rock Express	—	207	196	48	9	0	7	7	45	2	1	0	245	278	398	676	153	281	22	3	297	39	—	—	—	—	—	—
2017	27	INTL	Cangrejeros de Santurce	—	20	18	3	1	0	0	1	2	0	0	0	167	211	222	433	56	176	10	5	190	14	—	—	—	—	—	—
2018	28	INTL	Puerto Rico	—	127	107	26	9	1	3	11	14	7	1	1	243	352	430	782	187	250	11	9	346	121	—	—	—	—	—	—
2019	29	INTL	Puerto Rico	—	103	78	19	5	0	1	14	15	7	0	1	244	404	346	750	103	273	15	14	342	117	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	18	ROK MLE	GCL Blue Jays	—	52	48	6	1	0	0	2	23	1	5	2	125	176	146	322	21	237	44	4	150	-12	—	—	—	—	—	—
2009	19	A MLE	Lansing Lugnuts	—	294	280	65	12	1	2	5	98	1	5	2	232	248	304	552	71	330	33	2	238	47	—	—	—	—	—	—
2010	20	A MLE	Lansing Lugnuts	—	293	269	71	17	0	4	12	76	3	17	4	264	303	372	675	108	321	26	4	289	82	—	—	—	—	—	—
2011	21	A+ MLE	Dunedin Blue Jays	—	422	385	111	29	1	4	22	86	3	11	2	288	332	400	732	112	345	20	5	311	97	—	—	—	—	—	—
2012	22	AA MLE	New Hampshire Fisher Cats	—	113	106	27	4	1	2	4	16	1	2	3	255	288	368	656	113	276	14	4	275	72	—	—	—	—	—	—
2013	23	AAA MLE	Buffalo Bisons	—	31	30	7	1	0	0	1	2	0	0	1	233	258	267	525	33	243	6	3	217	33	—	—	—	—	—	—
2013	23	AA MLE	New Hampshire Fisher Cats	—	223	208	53	13	0	2	11	47	1	1	2	255	295	346	642	91	307	21	5	284	78	—	—	—	—	—	—
2013	23	A+ MLE	Dunedin Blue Jays	—	29	28	11	3	0	1	1	4	0	0	0	393	414	607	1.021	214	411	14	3	393	152	—	—	—	—	—	—
2014	24	AAA MLE	Buffalo Bisons	—	237	223	57	12	1	2	9	42	0	1	1	256	284	345	630	90	291	18	4	272	70	—	—	—	—	—	—
2014	24	AA MLE	New Hampshire Fisher Cats	—	102	96	20	7	0	1	4	24	1	1	0	208	248	312	560	104	257	24	4	239	48	—	—	—	—	—	—
2015	25	AAA MLE	Buffalo Bisons	—	98	90	19	7	1	0	6	14	1	2	0	211	268	311	579	100	250	14	6	261	63	—	—	—	—	—	—
2015	25	AA MLE	New Hampshire Fisher Cats	—	21	21	2	0	0	0	0	8	0	0	0	95	95	95	190		130	38	0	73	-64	—	—	—	—	—	—
2016	26	AAA MLE	Buffalo Bisons	—	248	232	50	15	1	3	9	42	4	1	1	216	257	328	585	112	242	17	4	253	57	—	—	—	—	—	—
2017	27	AAA MLE	Round Rock Express	—	207	198	39	7	0	5	5	56	2	1	0	197	224	308	532	111	238	27	2	226	39	—	—	—	—	—	—
2008	18	ROK MLE	GCL Blue Jays	—	52	48	6	1	0	0	2	23	1	5	2	125	176	146	322	21	240	44	4	150	-12	—	—	—	—	—	—
2008	18	ROK RAW	GCL Blue Jays	—	52	47	9	2	0	0	3	16	1	5	2	191	255	234	489	43	290	31	6	226	-12	—	—	—	—	—	—
2009	19	A MLE	Lansing Lugnuts	—	294	280	65	12	1	2	5	98	1	5	2	232	248	304	552	71	344	33	2	238	47	—	—	—	—	—	—
2009	19	A RAW	Lansing Lugnuts	—	294	278	73	15	1	3	7	72	1	5	2	263	283	356	639	94	340	24	2	278	47	—	—	—	—	—	—
2010	20	A MLE	2 teams	—	394	363	95	23	0	5	16	102	4	18	4	262	300	366	667	105	340	26	4	289	82	—	—	—	—	—	—
2010	20	A RAW	2 teams	—	394	356	103	26	0	4	22	84	4	18	4	289	337	396	733	107	357	21	6	320	82	—	—	—	—	—	—
2011	21	A+ MLE	2 teams	—	522	476	137	36	1	4	27	106	5	12	3	288	333	393	726	105	359	20	5	311	97	—	—	—	—	—	—
2011	21	A+ RAW	2 teams	—	522	469	132	34	2	5	34	69	5	12	3	281	337	394	731	113	318	13	7	320	97	—	—	—	—	—	—
2012	22	AA MLE	New Hampshire Fisher Cats	—	113	106	27	4	1	2	4	16	1	2	3	255	288	368	656	113	281	14	4	275	72	—	—	—	—	—	—
2012	22	AA RAW	New Hampshire Fisher Cats	—	113	105	27	4	1	2	5	14	1	2	3	257	297	371	669	114	278	12	4	294	72	—	—	—	—	—	—
2013	23	AA MLE	3 teams	—	283	266	70	16	0	3	13	53	1	1	3	263	300	357	657	94	315	19	5	288	81	—	—	—	—	—	—
2013	23	AA RAW	3 teams	—	283	261	75	19	0	4	18	42	1	1	3	287	336	406	742	119	326	15	6	329	81	—	—	—	—	—	—
2014	24	AAA MLE	3 teams	—	460	434	103	26	1	3	18	89	2	2	1	237	271	323	594	85	287	19	4	262	64	—	—	—	—	—	—
2014	24	AAA RAW	3 teams	—	460	423	113	29	2	4	29	62	2	2	1	267	317	374	691	106	300	13	6	307	64	—	—	—	—	—	—
2015	25	AAA MLE	2 teams	—	119	111	21	7	1	0	6	22	1	2	0	189	237	270	508	81	233	18	5	228	40	—	—	—	—	—	—
2015	25	AAA RAW	2 teams	—	119	108	21	7	1	0	9	18	1	2	0	194	263	278	540	83	231	15	8	247	40	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	392	365	78	24	1	5	14	67	6	5	1	214	255	326	581	112	244	17	4	253	57	—	—	—	—	—	—
2016	26	AAA RAW	2 teams	—	392	360	86	24	3	4	19	50	6	5	1	239	288	356	644	117	263	13	5	284	57	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	227	217	41	7	0	5	5	62	2	1	0	189	214	290	505	101	235	27	2	226	39	—	—	—	—	—	—
2017	27	AAA RAW	2 teams	—	227	214	51	10	0	7	8	47	2	1	0	238	272	383	655	145	270	21	4	287	39	—	—	—	—	—	—
2018	28	INTL MLE	Puerto Rico	—	127	107	26	9	1	3	11	14	7	1	1	243	352	430	782	187	250	11	9	—	—	—	—	—	—	—	—
2018	28	INTL RAW	Puerto Rico	—	127	107	26	9	1	3	11	14	7	1	1	243	352	430	782	187	250	11	9	346	121	—	—	—	—	—	—
2019	29	INTL MLE	Puerto Rico	—	103	78	19	5	0	1	14	15	7	0	1	244	404	346	750	103	273	15	14	—	—	—	—	—	—	—	—
2019	29	INTL RAW	Puerto Rico	—	103	78	19	5	0	1	14	15	7	0	1	244	404	346	750	103	273	15	14	342	117	—	—	—	—	—	—
2008	18	ROK MLE	GCL Blue Jays	—	52	49	6	1	0	0	2	23	1	5	2	122	176	143	319	20	237	44	4	150	-12	—	—	—	—	—	—
2009	19	A MLE	Lansing Lugnuts	—	294	286	65	12	1	2	5	98	1	5	2	227	248	297	545	70	330	33	2	238	47	—	—	—	—	—	—
2010	20	A MLE	2 teams	—	394	371	95	23	0	5	16	102	4	18	4	256	300	358	659	102	321	26	4	289	82	—	—	—	—	—	—
2011	21	A+ MLE	2 teams	—	522	485	137	36	1	4	27	106	5	12	3	282	333	386	718	103	345	20	5	311	97	—	—	—	—	—	—
2012	22	AA MLE	New Hampshire Fisher Cats	—	113	107	27	4	1	2	4	16	1	2	3	252	288	364	653	112	276	14	4	275	72	—	—	—	—	—	—
2013	23	AA MLE	3 teams	—	283	267	70	16	0	3	13	53	1	1	3	262	300	356	656	94	311	19	5	288	81	—	—	—	—	—	—
2014	24	AAA MLE	3 teams	—	460	437	103	26	1	3	18	89	2	2	1	236	271	320	591	85	281	19	4	262	64	—	—	—	—	—	—
2015	25	AAA MLE	2 teams	—	119	111	21	7	1	0	6	22	1	2	0	189	237	270	508	81	229	18	5	228	40	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	392	369	78	24	1	5	14	67	6	5	1	211	255	322	577	111	242	17	4	253	57	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	227	218	41	7	0	5	5	62	2	1	0	188	214	289	503	101	238	27	2	226	39	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	3086	2851	688	170	7	33	135	667	38	54	21	241	285	341	625	99	299	22	4	248	54	-170	+2	+0	+55	+67	-4.6
/ 162G	—	MLE		—	650	601	145	36	1	7	28	140	8	11	4	241	284	339	624	98	298	22	4	248	54	-36	+1	+0	+12	+14	-1.0

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 AAARound Rock Express · 207 PAwOBA .291 → .226 (−65)K% 21.7% → 27.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.74%	÷1.033	×1.290	—	—	27.14%
BB% (unintentional) /PA	3.38%	÷1.037	×0.710	—	×1.003	2.32%
HBP% /PA	0.97%	—	×0.980	—	×1.003	0.95%
Singles /BIP	21.19%	÷1.039	×0.900	×1.014	×1.003	18.67%
Doubles /BIP	5.96%	÷1.039	×0.810	×1.014	×1.003	4.73%
Triples /BIP	0.00%	÷1.046	×0.810	×1.014	×1.003	0.00%
Home runs /BIP	4.64%	÷1.117	×0.780	—	×1.003	3.25%

Factors used: league row PCL. Park (home-season share, regressed): HR 123, 1B 108, 2B 108, 3B 109, K 107, 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 ×1.014.

Result: wOBA .291 → .226; ISO .153 → .106; BABIP .281 → .238. 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 · 248 PAwOBA .292 → .253 (−39)K% 13.3% → 17.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.31%	÷0.937	×1.200	—	—	17.03%
BB% (unintentional) /PA	5.24%	÷1.034	×0.690	—	×1.018	3.56%
HBP% /PA	1.61%	—	×0.940	—	×1.018	1.54%
Singles /BIP	16.92%	÷1.008	×0.930	×0.995	×1.018	15.81%
Doubles /BIP	8.72%	÷0.917	×0.830	×0.995	×1.018	7.99%
Triples /BIP	0.51%	÷1.150	×0.970	×0.995	×1.018	0.44%
Home runs /BIP	2.05%	÷1.164	×0.840	—	×1.018	1.51%

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 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 ×0.995.

Result: wOBA .292 → .253; ISO .136 → .113; BABIP .263 → .242. 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 AAABuffalo Bisons · 98 PAwOBA .277 → .261 (−16)K% 12.2% → 14.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.24%	÷1.008	×1.200	—	—	14.58%
BB% (unintentional) /PA	9.18%	÷1.040	×0.690	—	×1.033	6.29%
HBP% /PA	1.02%	—	×0.940	—	×1.033	0.99%
Singles /BIP	14.67%	÷0.981	×0.930	×1.042	×1.033	14.96%
Doubles /BIP	9.33%	÷0.944	×0.830	×1.042	×1.033	8.83%
Triples /BIP	1.33%	÷0.900	×0.970	×1.042	×1.033	1.55%
Home runs /BIP	0.00%	÷0.966	×0.840	—	×1.033	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 93, 1B 96, 2B 89, 3B 80, K 102, BB 108 — 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 ×1.042.

Result: wOBA .277 → .261; ISO .103 → .105; BABIP .250 → .250. 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 AANew Hampshire Fisher Cats · 21 PAwOBA .084 → .073 (−11)K% 28.6% → 36.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.57%	÷0.960	×1.220	—	—	36.32%
BB% (unintentional) /PA	0.00%	÷1.026	×0.700	—	×0.998	0.00%
HBP% /PA	0.00%	—	×0.850	—	×0.998	0.00%
Singles /BIP	13.33%	÷0.996	×0.970	—	×0.998	12.95%
Doubles /BIP	0.00%	÷1.064	×0.860	—	×0.998	0.00%
Triples /BIP	0.00%	÷1.150	×0.950	—	×0.998	0.00%
Home runs /BIP	0.00%	÷1.130	×0.780	—	×0.998	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 126, 1B 99, 2B 113, 3B 130, K 92, BB 105 — 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).

Result: wOBA .084 → .073; ISO .000 → .000; BABIP .133 → .130. 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 AAABuffalo Bisons · 237 PAwOBA .288 → .272 (−16)K% 13.9% → 17.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.92%	÷0.942	×1.200	—	—	17.74%
BB% (unintentional) /PA	5.49%	÷1.041	×0.690	—	×1.048	3.81%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	22.04%	÷0.968	×0.930	×1.025	×1.048	22.76%
Doubles /BIP	6.99%	÷0.985	×0.830	×1.025	×1.048	6.33%
Triples /BIP	0.54%	÷1.150	×0.970	×1.025	×1.048	0.49%
Home runs /BIP	1.08%	÷1.006	×0.840	—	×1.048	0.94%

Factors used: league row IL. Park (home-season share, regressed): HR 101, 1B 94, 2B 97, 3B 130, K 88, BB 108 — 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 ×1.025.

Result: wOBA .288 → .272; ISO .096 → .086; BABIP .291 → .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).

2014 AANew Hampshire Fisher Cats · 102 PAwOBA .271 → .239 (−32)K% 18.6% → 23.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.63%	÷0.976	×1.220	—	—	23.27%
BB% (unintentional) /PA	5.88%	÷1.062	×0.700	—	×1.012	3.92%
HBP% /PA	0.98%	—	×0.850	—	×1.012	0.84%
Singles /BIP	16.00%	÷1.012	×0.970	×1.022	×1.012	15.86%
Doubles /BIP	10.67%	÷0.952	×0.860	×1.022	×1.012	9.96%
Triples /BIP	0.00%	÷0.921	×0.950	×1.022	×1.012	0.00%
Home runs /BIP	1.33%	÷1.066	×0.780	—	×1.012	0.99%

Factors used: league row EL. Park (home-season share, regressed): HR 113, 1B 102, 2B 90, 3B 84, K 95, BB 112 — 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 ×1.022.

Result: wOBA .271 → .239; ISO .117 → .101; BABIP .267 → .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 AANew Hampshire Fisher Cats · 223 PAwOBA .318 → .284 (−34)K% 16.6% → 20.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.59%	÷0.969	×1.220	—	—	20.90%
BB% (unintentional) /PA	7.17%	÷1.007	×0.700	—	×1.027	5.12%
HBP% /PA	0.45%	—	×0.850	—	×1.027	0.39%
Singles /BIP	22.89%	÷0.986	×0.970	×1.000	×1.027	23.12%
Doubles /BIP	9.04%	÷1.042	×0.860	×1.000	×1.027	7.66%
Triples /BIP	0.00%	÷1.068	×0.950	×1.000	×1.027	0.00%
Home runs /BIP	1.81%	÷0.975	×0.780	—	×1.027	1.49%

Factors used: league row EL. Park (home-season share, regressed): HR 95, 1B 97, 2B 108, 3B 114, K 94, BB 101 — 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 ×1.000.

Result: wOBA .318 → .284; ISO .118 → .098; BABIP .319 → .307. 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 AAABuffalo Bisons · 31 PAwOBA .233 → .217 (−15)K% 6.5% → 7.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.45%	÷0.987	×1.200	—	—	7.84%
BB% (unintentional) /PA	3.23%	÷1.015	×0.690	—	×1.050	2.30%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	21.43%	÷0.976	×0.930	—	×1.050	21.44%
Doubles /BIP	3.57%	÷1.094	×0.830	—	×1.050	2.85%
Triples /BIP	0.00%	÷0.900	×0.970	—	×1.050	0.00%
Home runs /BIP	0.00%	÷0.853	×0.840	—	×1.050	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 71, 1B 95, 2B 119, 3B 80, K 97, BB 103 — 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).

Result: wOBA .233 → .217; ISO .033 → .026; BABIP .250 → .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).

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