René García

PosC

B/TR/R

Born1990-03-21

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/AA/INTL2 orgs	322	.309/.335/.359	1	0	87	—	.316/.330/.358
2016	26	AAA/AA/INTL3 orgs	312	.243/.287/.281	0	2	47	—	.231/.251/.263
2017	27	AAA/AA2 orgs	179	.337/.375/.458	4	1	95	—	.301/.330/.408

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	Greeneville Astros	—	47	44	13	1	0	1	3	3	0	0	0	295	340	386	727	91	300	6	6	328	61	—	—	—	—	—	—
2010	20	A+	Lancaster JetHawks	—	19	19	1	1	0	0	0	4	0	0	0	53	53	105	158	53	67	21	0	68	-83	—	—	—	—	—	—
2010	20	A	Lexington Legends	—	333	309	81	10	1	2	16	35	3	5	2	262	305	320	625	58	286	11	5	281	53	—	—	—	—	—	—
2011	21	A+	Lancaster JetHawks	—	326	297	72	11	2	1	17	41	3	3	2	242	290	303	593	61	275	13	5	264	42	—	—	—	—	—	—
2011	21	INTL	Gigantes de Carolina	—	44	39	13	3	0	1	5	5	0	2	1	333	409	487	896	154	364	11	11	399	156	—	—	—	—	—	—
2012	22	AA	Corpus Christi Hooks	—	29	27	9	1	0	0	2	3	0	0	1	333	379	370	750	37	375	10	7	342	90	—	—	—	—	—	—
2012	22	A+	Lancaster JetHawks	—	230	215	60	13	0	0	6	24	4	1	1	279	311	340	651	60	311	10	3	288	49	—	—	—	—	—	—
2012	22	INTL	Gigantes de Carolina	—	58	54	11	1	0	1	1	7	0	0	0	204	218	278	496	74	208	12	2	210	29	—	—	—	—	—	—
2013	23	AAA	Oklahoma City RedHawks	—	68	65	16	2	0	0	3	6	0	1	1	246	279	277	556	31	271	9	4	255	42	—	—	—	—	—	—
2013	23	AA	Corpus Christi Hooks	—	329	303	92	18	1	5	19	44	2	1	2	304	349	419	768	116	341	13	6	339	81	—	—	—	—	—	—
2013	23	INTL	Gigantes de Carolina	—	66	59	15	2	0	0	5	8	0	0	0	254	312	288	601	34	288	12	8	270	69	—	—	—	—	—	—
2014	24	AA	Corpus Christi Hooks	—	288	270	66	14	0	5	9	32	4	5	3	244	279	352	631	107	262	11	3	278	54	—	—	—	—	—	—
2014	24	INTL	Gigantes de Carolina	—	67	62	16	3	0	1	4	10	0	0	0	258	303	355	658	97	294	15	6	292	84	—	—	—	—	—	—
2015	25	AAA	Lehigh Valley IronPigs	—	50	49	12	1	0	0	1	4	0	0	0	245	260	265	525	20	267	8	2	239	36	—	—	—	—	—	—
2015	25	AA	Reading Fightin Phils	—	150	143	49	7	0	0	3	12	1	0	1	343	361	392	752	49	368	8	2	332	102	—	—	—	—	—	—
2015	25	INTL	Puerto Rico	—	122	109	32	4	0	1	6	8	1	0	0	294	336	358	694	64	304	7	5	300	89	—	—	—	—	—	—
2016	26	AAA	Colorado Springs Sky Sox	—	64	62	18	4	0	0	1	6	0	0	0	290	302	355	656	65	316	9	2	289	50	—	—	—	—	—	—
2016	26	AA	Biloxi Shuckers	—	129	120	27	3	0	0	7	14	0	1	2	225	266	250	516	25	255	11	5	236	31	—	—	—	—	—	—
2016	26	INTL	Puerto Rico	—	119	106	25	2	1	0	10	9	0	1	1	236	302	274	575	38	255	8	8	261	63	—	—	—	—	—	—
2017	27	AAA	Colorado Springs Sky Sox	—	127	121	42	6	0	3	4	11	0	0	0	347	368	471	839	124	361	9	3	367	97	—	—	—	—	—	—
2017	27	AA	Biloxi Shuckers	—	52	45	14	2	0	1	4	8	2	1	1	311	392	422	814	111	351	15	8	363	91	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	18	ROK MLE	Greeneville Astros	—	47	45	11	1	0	1	2	4	0	0	0	244	277	333	610	89	254	9	4	259	61	—	—	—	—	—	—
2010	20	A+ MLE	Lancaster JetHawks	—	19	19	1	1	0	0	0	6	0	0	0	53	53	105	158	53	53	32	0	46	-83	—	—	—	—	—	—
2010	20	A MLE	Lexington Legends	—	333	315	76	9	1	1	10	48	3	5	2	241	271	286	557	44	271	14	3	247	53	—	—	—	—	—	—
2011	21	A+ MLE	Lancaster JetHawks	—	326	302	67	9	1	1	12	57	3	3	2	222	259	268	527	46	258	17	4	230	42	—	—	—	—	—	—
2012	22	AA MLE	Corpus Christi Hooks	—	29	28	9	1	0	0	1	4	0	0	1	321	345	357	702	36	355	14	3	301	90	—	—	—	—	—	—
2012	22	A+ MLE	Lancaster JetHawks	—	230	217	53	10	0	0	4	33	4	1	1	244	271	290	561	46	275	14	2	241	49	—	—	—	—	—	—
2013	23	AAA MLE	Oklahoma City RedHawks	—	68	66	16	2	0	0	2	8	0	1	1	242	265	273	537	30	268	12	3	231	42	—	—	—	—	—	—
2013	23	AA MLE	Corpus Christi Hooks	—	329	310	84	15	1	4	12	53	2	1	2	271	302	365	667	94	312	16	4	288	81	—	—	—	—	—	—
2014	24	AA MLE	Corpus Christi Hooks	—	288	273	62	14	0	4	6	39	4	5	3	227	254	322	577	95	246	14	2	248	54	—	—	—	—	—	—
2015	25	AAA MLE	Lehigh Valley IronPigs	—	50	49	12	1	0	0	1	5	0	0	0	245	260	265	525	20	264	10	2	222	36	—	—	—	—	—	—
2015	25	AA MLE	Reading Fightin Phils	—	150	144	49	7	0	0	2	14	1	0	1	340	354	389	743	49	360	9	1	319	102	—	—	—	—	—	—
2016	26	AAA MLE	Colorado Springs Sky Sox	—	64	62	16	3	0	0	1	8	0	0	0	258	270	306	576	48	277	12	2	242	50	—	—	—	—	—	—
2016	26	AA MLE	Biloxi Shuckers	—	129	124	27	3	0	0	4	17	0	1	2	218	242	242	484	24	250	13	3	214	31	—	—	—	—	—	—
2017	27	AAA MLE	Colorado Springs Sky Sox	—	127	123	38	4	0	3	2	15	0	0	0	309	320	415	735	106	322	12	2	311	97	—	—	—	—	—	—
2017	27	AA MLE	Biloxi Shuckers	—	52	46	13	2	0	1	3	10	2	1	1	283	353	391	744	109	318	19	6	303	91	—	—	—	—	—	—
2008	18	ROK MLE	Greeneville Astros	—	47	45	11	1	0	1	2	4	0	0	0	244	277	333	610	89	250	9	4	259	61	—	—	—	—	—	—
2008	18	ROK RAW	Greeneville Astros	—	47	44	13	1	0	1	3	3	0	0	0	295	340	386	727	91	300	6	6	328	61	—	—	—	—	—	—
2010	20	A MLE	2 teams	—	352	334	77	10	1	1	10	53	3	5	2	231	259	275	535	45	268	15	3	236	46	—	—	—	—	—	—
2010	20	A RAW	2 teams	—	352	328	82	11	1	2	16	39	3	5	2	250	291	308	599	58	275	11	5	269	46	—	—	—	—	—	—
2011	21	A+ MLE	2 teams	—	370	345	77	10	2	1	13	65	3	5	3	223	258	272	530	49	270	18	4	230	42	—	—	—	—	—	—
2011	21	A+ RAW	2 teams	—	370	336	85	14	2	2	22	46	3	5	3	253	305	324	629	71	285	12	6	280	42	—	—	—	—	—	—
2012	22	A+ MLE	3 teams	—	317	298	75	13	0	0	7	45	4	1	2	252	278	295	574	44	292	14	2	248	54	—	—	—	—	—	—
2012	22	A+ RAW	3 teams	—	317	296	80	15	0	1	9	34	4	1	2	270	301	331	632	61	298	11	3	279	54	—	—	—	—	—	—
2013	23	AA MLE	3 teams	—	463	437	116	20	1	4	17	72	2	2	3	265	296	343	639	78	309	16	4	278	74	—	—	—	—	—	—
2013	23	AA RAW	3 teams	—	463	427	123	22	1	5	27	58	2	2	3	288	333	379	713	91	322	13	6	317	74	—	—	—	—	—	—
2014	24	AA MLE	2 teams	—	355	337	76	17	0	5	8	49	4	5	3	226	252	320	573	95	251	14	2	248	54	—	—	—	—	—	—
2014	24	AA RAW	2 teams	—	355	332	82	17	0	6	13	42	4	5	3	247	284	352	636	105	268	12	4	281	54	—	—	—	—	—	—
2015	25	AA MLE	3 teams	—	322	306	98	12	0	0	5	30	2	0	1	320	335	359	695	39	350	9	2	295	86	—	—	—	—	—	—
2015	25	AA RAW	3 teams	—	322	301	93	12	0	1	10	24	2	0	1	309	335	359	694	50	329	7	3	305	86	—	—	—	—	—	—
2016	26	AA MLE	3 teams	—	312	299	68	9	0	0	8	41	0	2	3	227	248	258	505	30	262	13	3	223	37	—	—	—	—	—	—
2016	26	AA RAW	3 teams	—	312	288	70	9	1	0	18	29	0	2	3	243	287	281	568	38	268	9	6	256	37	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	179	169	50	6	0	3	5	25	2	1	1	296	324	385	708	89	329	14	3	309	95	—	—	—	—	—	—
2017	27	AAA RAW	2 teams	—	179	166	56	8	0	4	8	19	2	1	1	337	375	458	833	120	359	11	4	366	95	—	—	—	—	—	—
2008	18	ROK MLE	Greeneville Astros	—	47	45	11	1	0	1	2	4	0	0	0	244	277	333	610	89	254	9	4	259	61	—	—	—	—	—	—
2010	20	A MLE	2 teams	—	352	336	77	10	1	1	10	53	3	5	2	229	259	274	533	45	259	15	3	236	46	—	—	—	—	—	—
2011	21	A+ MLE	2 teams	—	370	351	77	10	2	1	13	65	3	5	3	219	258	268	525	48	258	18	4	230	42	—	—	—	—	—	—
2012	22	A+ MLE	3 teams	—	317	303	75	13	0	0	7	45	4	1	2	248	278	290	569	43	284	14	2	248	54	—	—	—	—	—	—
2013	23	AA MLE	3 teams	—	463	441	116	20	1	4	17	72	2	2	3	263	296	340	636	77	304	16	4	278	74	—	—	—	—	—	—
2014	24	AA MLE	2 teams	—	355	340	76	17	0	5	8	49	4	5	3	224	252	318	570	94	246	14	2	248	54	—	—	—	—	—	—
2015	25	AA MLE	3 teams	—	322	312	98	12	0	0	5	30	2	0	1	314	335	353	688	38	336	9	2	295	86	—	—	—	—	—	—
2016	26	AA MLE	3 teams	—	312	301	68	9	0	0	8	41	0	2	3	226	248	256	503	30	259	13	3	223	37	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	179	170	50	6	0	3	5	25	2	1	1	294	324	382	706	88	321	14	3	309	95	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2717	2570	648	98	4	15	75	384	20	21	18	252	279	311	590	59	289	14	3	256	59	-131	-3	+0	+49	+59	-2.7
/ 162G	—	MLE		—	650	615	155	23	1	4	18	92	5	5	4	252	279	312	591	60	288	14	3	256	59	-31	-1	+0	+12	+14	-0.6

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 AAAColorado Springs Sky Sox · 127 PAwOBA .357 → .311 (−46)K% 8.7% → 11.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.66%	÷0.953	×1.290	—	—	11.72%
BB% (unintentional) /PA	2.36%	÷0.995	×0.710	—	×1.003	1.69%
HBP% /PA	0.00%	—	×0.980	—	×1.003	0.00%
Singles /BIP	30.00%	÷1.018	×0.900	×1.043	×1.003	27.75%
Doubles /BIP	5.45%	÷1.163	×0.810	×1.043	×1.003	3.97%
Triples /BIP	0.00%	÷1.150	×0.810	×1.043	×1.003	0.00%
Home runs /BIP	2.73%	÷0.933	×0.780	—	×1.003	2.29%

Factors used: league row PCL. Park (home-season share, regressed): HR 87, 1B 104, 2B 133, 3B 130, K 91, BB 99 — 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 ×1.043.

Result: wOBA .357 → .311; ISO .124 → .098; BABIP .361 → .322. 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 AABiloxi Shuckers · 52 PAwOBA .360 → .303 (−57)K% 15.4% → 19.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.38%	÷0.959	×1.220	—	—	19.57%
BB% (unintentional) /PA	7.69%	÷1.035	×0.680	—	×0.978	4.94%
HBP% /PA	3.85%	—	×0.840	—	×0.978	3.16%
Singles /BIP	29.73%	÷0.986	×0.920	—	×0.978	27.12%
Doubles /BIP	5.41%	÷0.946	×0.910	—	×0.978	5.09%
Triples /BIP	0.00%	÷0.915	×0.880	—	×0.978	0.00%
Home runs /BIP	2.70%	÷1.393	×0.800	—	×0.978	1.52%

Factors used: league row SL. Park (home-season share, regressed): HR 179, 1B 97, 2B 89, 3B 83, K 92, BB 107 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).

Result: wOBA .360 → .303; ISO .111 → .081; BABIP .351 → .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).

2016 AABiloxi Shuckers · 129 PAwOBA .230 → .214 (−16)K% 10.9% → 13.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.85%	÷0.999	×1.220	—	—	13.25%
BB% (unintentional) /PA	5.43%	÷1.152	×0.680	—	×0.988	3.16%
HBP% /PA	0.00%	—	×0.840	—	×0.988	0.00%
Singles /BIP	22.64%	÷0.973	×0.920	×1.050	×0.988	22.21%
Doubles /BIP	2.83%	÷0.955	×0.910	×1.050	×0.988	2.80%
Triples /BIP	0.00%	÷0.922	×0.880	×1.050	×0.988	0.00%
Home runs /BIP	0.00%	÷1.243	×0.800	—	×0.988	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 149, 1B 95, 2B 91, 3B 84, K 100, BB 130 — 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 .230 → .214; ISO .025 → .025; BABIP .255 → .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).

2016 AAAColorado Springs Sky Sox · 64 PAwOBA .286 → .242 (−44)K% 9.4% → 12.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.38%	÷0.964	×1.290	—	—	12.55%
BB% (unintentional) /PA	1.56%	÷1.052	×0.710	—	×1.018	1.07%
HBP% /PA	0.00%	—	×0.980	—	×1.018	0.00%
Singles /BIP	25.00%	÷1.046	×0.900	×1.050	×1.018	22.99%
Doubles /BIP	7.14%	÷1.196	×0.810	×1.050	×1.018	5.17%
Triples /BIP	0.00%	÷1.150	×0.810	×1.050	×1.018	0.00%
Home runs /BIP	0.00%	÷0.973	×0.780	—	×1.018	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 109, 2B 139, 3B 130, K 93, 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 ×1.050.

Result: wOBA .286 → .242; ISO .065 → .046; BABIP .316 → .277. 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 AAReading Fightin Phils · 150 PAwOBA .327 → .319 (−8)K% 8.0% → 9.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.00%	÷1.060	×1.220	—	—	9.21%
BB% (unintentional) /PA	2.00%	÷1.029	×0.700	—	×0.998	1.36%
HBP% /PA	0.67%	—	×0.850	—	×0.998	0.57%
Singles /BIP	32.06%	÷0.995	×0.970	×1.015	×0.998	31.64%
Doubles /BIP	5.34%	÷0.949	×0.860	×1.015	×0.998	4.90%
Triples /BIP	0.00%	÷1.150	×0.950	×1.015	×0.998	0.00%
Home runs /BIP	0.00%	÷1.021	×0.780	—	×0.998	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 104, 1B 99, 2B 90, 3B 130, K 112, BB 106 — 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 ×1.015.

Result: wOBA .327 → .319; ISO .049 → .046; BABIP .368 → .360. 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 AAALehigh Valley IronPigs · 50 PAwOBA .232 → .222 (−11)K% 8.0% → 9.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.00%	÷1.019	×1.200	—	—	9.42%
BB% (unintentional) /PA	2.00%	÷1.013	×0.690	—	×1.033	1.41%
HBP% /PA	0.00%	—	×0.940	—	×1.033	0.00%
Singles /BIP	24.44%	÷0.991	×0.930	×1.050	×1.033	24.87%
Doubles /BIP	2.22%	÷1.314	×0.830	×1.050	×1.033	1.52%
Triples /BIP	0.00%	÷0.921	×0.970	×1.050	×1.033	0.00%
Home runs /BIP	0.00%	÷0.845	×0.840	—	×1.033	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 69, 1B 98, 2B 163, 3B 84, K 104, BB 103 — 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 ×1.050.

Result: wOBA .232 → .222; ISO .020 → .014; BABIP .267 → .264. 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 AACorpus Christi Hooks · 288 PAwOBA .271 → .248 (−23)K% 11.1% → 13.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.11%	÷0.988	×1.220	—	—	13.73%
BB% (unintentional) /PA	3.12%	÷0.991	×0.700	—	×1.012	2.23%
HBP% /PA	1.39%	—	×0.870	—	×1.012	1.22%
Singles /BIP	19.75%	÷1.022	×0.920	×1.025	×1.012	18.44%
Doubles /BIP	5.88%	÷0.890	×0.840	×1.025	×1.012	5.76%
Triples /BIP	0.00%	÷0.900	×0.940	×1.025	×1.012	0.00%
Home runs /BIP	2.10%	÷0.956	×0.800	—	×1.012	1.78%

Factors used: league row TL. Park (home-season share, regressed): HR 91, 1B 104, 2B 78, 3B 80, K 98, BB 98 — 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 .271 → .248; ISO .107 → .098; BABIP .262 → .246. 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 AACorpus Christi Hooks · 329 PAwOBA .330 → .288 (−42)K% 13.4% → 16.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.37%	÷1.004	×1.220	—	—	16.25%
BB% (unintentional) /PA	5.78%	÷1.117	×0.700	—	×1.027	3.72%
HBP% /PA	0.61%	—	×0.870	—	×1.027	0.54%
Singles /BIP	26.25%	÷1.040	×0.920	×1.032	×1.027	24.63%
Doubles /BIP	6.95%	÷1.067	×0.840	×1.032	×1.027	5.80%
Triples /BIP	0.39%	÷0.900	×0.940	×1.032	×1.027	0.43%
Home runs /BIP	1.93%	÷1.106	×0.800	—	×1.027	1.43%

Factors used: league row TL. Park (home-season share, regressed): HR 121, 1B 108, 2B 113, 3B 80, K 101, BB 123 — 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 ×1.032.

Result: wOBA .330 → .288; ISO .116 → .095; BABIP .341 → .312. 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 — .