Jason Rogers

Pos1B

B/TR/R

Born1988-03-13

Age (2027)39

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	29	AAAPIT	282	.289/.362/.439	9	3	99	—	.268/.323/.406
2018	30	INTLSydney Blue S…	33	.346/.485/.423	0	0	170	—
2019	31	INTLGigantes de C…	57	.200/.228/.291	1	1	44	—

Contract

No contract data on file.

Skills · percentileStatcast 2015-2016

Avg EV67

xwOBA59

Speed46

Barrel%25

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)
2010	22	ROK	AZL Brewers	—	185	160	45	7	1	3	20	32	3	5	2	281	372	394	765	112	331	17	11	345	53	—	—	—	—	—	—
2011	23	A	Wisconsin Timber Rattlers	—	270	240	66	15	2	6	22	48	2	6	1	275	341	429	770	154	316	18	8	336	65	—	—	—	—	—	—
2011	23	ROK	Helena Brewers	—	29	27	8	1	0	1	2	5	0	0	1	296	345	444	789	148	333	17	7	351	47	—	—	—	—	—	—
2012	24	A+	Brevard County Manatees	—	279	233	70	11	0	5	42	42	4	7	1	300	416	412	828	112	349	15	15	379	95	—	—	—	—	—	—
2012	24	A	Wisconsin Timber Rattlers	—	279	238	72	24	1	6	37	46	1	5	0	303	399	487	886	185	351	16	13	389	99	—	—	—	—	—	—
2013	25	AA	Huntsville Stars	—	549	481	130	25	2	22	59	86	1	7	2	270	351	468	819	198	283	16	11	358	84	—	—	—	—	—	—
2013	25	INTL	Toros del Este	—	131	112	31	4	0	3	17	34	1	2	0	277	377	393	770	116	373	26	13	349	122	—	—	—	—	—	—
2014	26	AAA	Nashville Sounds	—	232	206	65	11	4	11	22	38	1	0	0	316	384	568	952	252	338	16	9	409	118	—	—	—	—	—	—
2014	26	AA	Huntsville Stars	—	324	287	81	18	2	7	31	56	3	5	1	282	358	432	790	150	326	17	10	351	88	—	—	—	—	—	—
2015	27	MLB	Milwaukee Brewers	—	169	152	45	6	2	4	15	34	2	0	0	296	367	441	808	145	360	20	9	361	132	+6	+0	-4	-8	+4	-0.2
2015	27	AAA	Colorado Springs Sky Sox	—	147	122	42	8	0	8	24	23	0	0	0	344	452	607	1.059	262	370	16	16	457	130	—	—	—	—	—	—
2015	27	INTL	Tigres del Licey	—	158	147	40	6	1	3	9	22	1	0	0	272	318	388	706	116	301	14	6	315	99	—	—	—	—	—	—
2016	28	MLB	Pittsburgh Pirates	—	33	25	2	0	1	0	7	9	1	0	0	80	303	160	463	80	125	27	21	247	53	-2	+0	-0	-9	+1	-1.0
2016	28	AAA	Indianapolis Indians	—	420	372	98	18	2	6	43	78	1	1	0	263	341	371	712	108	315	19	10	321	73	—	—	—	—	—	—
2016	28	INTL	Tigres del Licey	—	41	31	6	2	0	1	10	6	0	0	0	194	390	355	745	161	208	15	24	350	123	—	—	—	—	—	—
2017	29	AAA	Indianapolis Indians	—	282	253	73	9	1	9	27	44	2	3	2	289	362	439	800	150	320	16	10	358	99	—	—	—	—	—	—
2018	30	INTL	Sydney Blue Sox	—	33	26	9	2	0	0	5	3	2	0	0	346	485	423	908	77	391	9	15	420	170	—	—	—	—	—	—
2019	31	INTL	Gigantes de Carolina	—	57	55	11	0	1	1	1	12	1	1	0	200	228	291	519	91	238	21	2	233	44	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	202	177	47	6	3	4	22	43	3	0	0	266	356	401	758	136	331	21	11	343	118	+4	+0	-4	-17	+4	-1.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	22	ROK MLE	AZL Brewers	—	185	168	35	5	1	2	12	46	3	5	2	208	273	286	559	77	260	25	6	246	53	—	—	—	—	—	—
2011	23	A MLE	Wisconsin Timber Rattlers	—	270	249	56	12	2	4	13	65	2	6	1	225	269	337	606	112	273	24	5	265	65	—	—	—	—	—	—
2011	23	ROK MLE	Helena Brewers	—	29	28	6	1	0	1	1	7	0	0	1	214	241	357	599	143	256	24	3	238	47	—	—	—	—	—	—
2012	24	A+ MLE	Brevard County Manatees	—	279	248	62	11	0	5	27	60	4	7	1	250	333	355	688	105	310	22	10	309	95	—	—	—	—	—	—
2012	24	A MLE	Wisconsin Timber Rattlers	—	279	249	63	20	1	5	26	63	1	5	0	253	326	402	728	149	310	23	9	314	99	—	—	—	—	—	—
2013	25	AA MLE	Huntsville Stars	—	549	500	115	23	2	17	40	108	1	7	2	230	288	386	674	156	249	20	7	292	84	—	—	—	—	—	—
2014	26	AAA MLE	Nashville Sounds	—	232	213	58	9	3	10	15	51	1	0	0	272	323	484	807	211	303	22	6	342	118	—	—	—	—	—	—
2014	26	AA MLE	Huntsville Stars	—	324	297	74	17	2	5	21	67	3	5	1	249	305	370	676	121	300	21	6	299	88	—	—	—	—	—	—
2015	27	MLB MLE	Milwaukee Brewers	—	169	152	45	6	2	4	15	34	2	0	0	296	367	441	808	145	360	20	9	363	132	+6	+0	-4	-8	+4	-0.2
2015	27	AAA MLE	Colorado Springs Sky Sox	—	147	130	35	5	0	7	16	30	0	0	0	269	349	469	819	200	299	20	11	361	130	—	—	—	—	—	—
2016	28	MLB MLE	Pittsburgh Pirates	—	33	25	2	0	1	0	7	9	1	0	0	80	303	160	463	80	125	27	21	247	53	-2	+0	-0	-9	+1	-1.0
2016	28	AAA MLE	Indianapolis Indians	—	420	388	92	15	2	5	27	92	1	1	0	237	288	325	613	88	293	22	6	276	73	—	—	—	—	—	—
2017	29	AAA MLE	Indianapolis Indians	—	282	261	70	7	1	9	19	51	2	3	2	268	323	406	729	138	302	18	7	315	99	—	—	—	—	—	—
2010	22	ROK MLE	AZL Brewers	—	185	168	35	5	1	2	12	46	3	5	2	208	273	286	559	77	270	25	6	246	53	—	—	—	—	—	—
2010	22	ROK RAW	AZL Brewers	—	185	160	45	7	1	3	20	32	3	5	2	281	372	394	765	112	331	17	11	345	53	—	—	—	—	—	—
2011	23	A MLE	2 teams	—	299	277	62	13	2	5	14	72	2	6	2	224	266	339	606	116	279	24	5	262	64	—	—	—	—	—	—
2011	23	A RAW	2 teams	—	299	267	74	16	2	7	24	53	2	6	2	277	341	431	772	154	318	18	8	337	64	—	—	—	—	—	—
2012	24	A+ MLE	2 teams	—	558	497	125	31	1	10	53	122	5	12	1	252	330	378	708	127	313	22	9	311	97	—	—	—	—	—	—
2012	24	A+ RAW	2 teams	—	558	471	142	35	1	11	79	88	5	12	1	301	407	450	857	149	350	16	14	384	97	—	—	—	—	—	—
2013	25	AA MLE	2 teams	—	680	620	141	28	2	21	49	133	2	9	2	227	286	381	667	153	253	20	7	292	84	—	—	—	—	—	—
2013	25	AA RAW	2 teams	—	680	593	161	29	2	25	76	120	2	9	2	272	356	454	810	182	298	18	11	356	84	—	—	—	—	—	—
2014	26	AA MLE	2 teams	—	556	509	132	26	5	15	37	118	4	5	1	259	315	418	733	159	306	21	7	317	101	—	—	—	—	—	—
2014	26	AA RAW	2 teams	—	556	493	146	29	6	18	53	94	4	5	1	296	369	489	858	193	331	17	10	375	101	—	—	—	—	—	—
2015	27	MLB MLE	3 teams	—	474	422	121	18	3	16	47	96	3	0	0	287	362	457	820	171	337	20	10	362	131	+18	+0	-4	-8	+10	1.6
2015	27	MLB RAW	3 teams	—	474	421	127	20	3	15	48	79	3	0	0	302	377	470	847	169	340	17	10	375	131	+18	+0	-4	-8	+10	1.6
2016	28	AAA MLE	3 teams	—	494	451	104	17	4	6	37	111	2	1	0	231	292	326	618	95	290	22	7	274	72	—	—	—	—	—	—
2016	28	AAA RAW	3 teams	—	494	428	106	20	3	7	60	93	2	1	0	248	343	357	700	110	298	19	12	318	72	—	—	—	—	—	—
2017	29	AAA MLE	Indianapolis Indians	—	282	261	70	7	1	9	19	51	2	3	2	268	323	406	729	138	303	18	7	315	99	—	—	—	—	—	—
2017	29	AAA RAW	Indianapolis Indians	—	282	253	73	9	1	9	27	44	2	3	2	289	362	439	800	150	320	16	10	358	99	—	—	—	—	—	—
2018	30	INTL MLE	Sydney Blue Sox	—	33	26	9	2	0	0	5	3	2	0	0	346	485	423	908	77	391	9	15	—	—	—	—	—	—	—	—
2018	30	INTL RAW	Sydney Blue Sox	—	33	26	9	2	0	0	5	3	2	0	0	346	485	423	908	77	391	9	15	420	170	—	—	—	—	—	—
2019	31	INTL MLE	Gigantes de Carolina	—	57	55	11	0	1	1	1	12	1	1	0	200	228	291	519	91	238	21	2	—	—	—	—	—	—	—	—
2019	31	INTL RAW	Gigantes de Carolina	—	57	55	11	0	1	1	1	12	1	1	0	200	228	291	519	91	238	21	2	233	44	—	—	—	—	—	—
2010	22	ROK MLE	AZL Brewers	—	185	168	35	5	1	2	12	46	3	5	2	208	273	286	559	77	260	25	6	246	53	—	—	—	—	—	—
2011	23	A MLE	2 teams	—	299	281	62	13	2	5	14	72	2	6	2	221	266	335	601	114	271	24	5	262	64	—	—	—	—	—	—
2012	24	A+ MLE	2 teams	—	558	495	125	31	1	10	53	122	5	12	1	253	330	380	710	127	310	22	9	311	97	—	—	—	—	—	—
2013	25	AA MLE	2 teams	—	680	624	141	28	2	21	49	133	2	9	2	226	286	378	664	152	249	20	7	292	84	—	—	—	—	—	—
2014	26	AA MLE	2 teams	—	556	510	132	26	5	15	37	118	4	5	1	259	315	418	732	159	301	21	7	317	101	—	—	—	—	—	—
2015	27	MLB MLE	3 teams	—	474	421	121	18	3	16	47	96	3	0	0	287	362	458	821	171	331	20	10	362	131	—	—	—	—	—	—
2016	28	AAA MLE	3 teams	—	494	452	104	17	4	6	37	111	2	1	0	230	292	325	617	95	281	22	7	274	72	—	—	—	—	—	—
2017	29	AAA MLE	Indianapolis Indians	—	282	259	70	7	1	9	19	51	2	3	2	270	323	409	732	139	302	18	7	315	99	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	202	177	47	6	3	4	22	43	3	0	0	266	356	401	758	136	331	21	11	343	86	+4	+0	-4	-17	+4	-1.3
/ 162G	—	A+C		—	650	570	151	19	10	13	71	138	10	0	0	265	357	402	759	137	329	21	11	343	86	+14	+0	-12	-56	+14	-4.1
Career	—	MLE		—	3618	3286	810	147	20	85	274	764	26	42	10	247	310	381	691	135	294	21	8	295	86	+4	+0	-4	-17	+4	-1.3
/ 162G	—	MLE		—	650	590	145	26	4	15	49	137	5	8	2	246	309	380	689	134	293	21	8	295	86	+14	+0	-12	-56	+14	-4.1

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 AAAIndianapolis Indians · 282 PAwOBA .349 → .315 (−34)K% 15.6% → 18.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.60%	÷1.030	×1.200	—	—	18.18%
BB% (unintentional) /PA	9.57%	÷0.952	×0.690	—	×0.982	6.81%
HBP% /PA	0.71%	—	×0.940	—	×0.982	0.65%
Singles /BIP	25.84%	÷0.950	×0.930	×1.012	×0.982	25.15%
Doubles /BIP	4.31%	÷1.046	×0.830	×1.012	×0.982	3.40%
Triples /BIP	0.48%	÷1.150	×0.970	×1.012	×0.982	0.40%
Home runs /BIP	4.31%	÷0.850	×0.840	—	×0.982	4.18%

Factors used: league row IL. Park (home-season share, regressed): HR 70, 1B 90, 2B 109, 3B 130, K 106, BB 90 — 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 ×1.012.

Result: wOBA .349 → .315; ISO .150 → .139; BABIP .320 → .302. 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 AAAIndianapolis Indians · 420 PAwOBA .315 → .276 (−39)K% 18.6% → 22.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.57%	÷1.015	×1.200	—	—	21.97%
BB% (unintentional) /PA	10.00%	÷1.054	×0.690	—	×0.992	6.49%
HBP% /PA	0.24%	—	×0.940	—	×0.992	0.22%
Singles /BIP	24.49%	÷0.998	×0.930	×1.028	×0.992	23.28%
Doubles /BIP	6.12%	÷1.010	×0.830	×1.028	×0.992	5.13%
Triples /BIP	0.68%	÷0.900	×0.970	×1.028	×0.992	0.75%
Home runs /BIP	2.04%	÷0.933	×0.840	—	×0.992	1.82%

Factors used: league row IL. Park (home-season share, regressed): HR 87, 1B 100, 2B 102, 3B 80, K 103, BB 111 — 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 ×1.028.

Result: wOBA .315 → .276; ISO .108 → .097; BABIP .315 → .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).

2015 AAAColorado Springs Sky Sox · 147 PAwOBA .446 → .361 (−85)K% 15.6% → 20.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.65%	÷0.979	×1.290	—	—	20.61%
BB% (unintentional) /PA	15.65%	÷1.015	×0.710	—	×1.003	10.97%
HBP% /PA	0.00%	—	×0.980	—	×1.003	0.00%
Singles /BIP	26.26%	÷1.044	×0.900	×0.999	×1.003	22.69%
Doubles /BIP	8.08%	÷1.214	×0.810	×0.999	×1.003	5.40%
Triples /BIP	0.00%	÷1.150	×0.810	×0.999	×1.003	0.00%
Home runs /BIP	8.08%	÷0.886	×0.780	—	×1.003	7.14%

Factors used: league row PCL. Park (home-season share, regressed): HR 77, 1B 109, 2B 143, 3B 130, K 96, BB 103 — 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 ×0.999.

Result: wOBA .446 → .361; ISO .262 → .221; BABIP .370 → .299. 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 AAHuntsville Stars · 324 PAwOBA .344 → .299 (−45)K% 17.3% → 20.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.28%	÷1.015	×1.220	—	—	20.77%
BB% (unintentional) /PA	9.26%	÷0.945	×0.680	—	×0.988	6.58%
HBP% /PA	0.93%	—	×0.840	—	×0.988	0.77%
Singles /BIP	23.38%	÷0.974	×0.920	×0.989	×0.988	21.58%
Doubles /BIP	7.79%	÷0.950	×0.910	×0.989	×0.988	7.30%
Triples /BIP	0.87%	÷0.900	×0.880	×0.989	×0.988	0.83%
Home runs /BIP	3.03%	÷1.047	×0.800	—	×0.988	2.29%

Factors used: league row SL. Park (home-season share, regressed): HR 109, 1B 95, 2B 90, 3B 80, K 103, BB 89 — 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 ×0.989.

Result: wOBA .344 → .299; ISO .150 → .128; BABIP .326 → .300. 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 AAANashville Sounds · 232 PAwOBA .403 → .342 (−60)K% 16.4% → 21.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.38%	÷0.964	×1.290	—	—	21.92%
BB% (unintentional) /PA	9.48%	÷1.040	×0.710	—	×1.018	6.59%
HBP% /PA	0.43%	—	×0.980	—	×1.018	0.43%
Singles /BIP	23.21%	÷0.975	×0.900	×1.007	×1.018	21.97%
Doubles /BIP	6.55%	÷1.051	×0.810	×1.007	×1.018	5.17%
Triples /BIP	2.38%	÷1.018	×0.810	×1.007	×1.018	1.94%
Home runs /BIP	6.55%	÷0.875	×0.780	—	×1.018	5.94%

Factors used: league row PCL. Park (home-season share, regressed): HR 75, 1B 95, 2B 110, 3B 104, K 93, BB 108 — 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 ×1.007.

Result: wOBA .403 → .342; ISO .252 → .215; BABIP .338 → .303. 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 AAHuntsville Stars · 549 PAwOBA .353 → .292 (−60)K% 15.7% → 19.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.66%	÷0.977	×1.220	—	—	19.56%
BB% (unintentional) /PA	10.56%	÷1.001	×0.680	—	×0.998	7.16%
HBP% /PA	0.18%	—	×0.840	—	×0.998	0.15%
Singles /BIP	20.51%	÷1.029	×0.920	×0.995	×0.998	18.20%
Doubles /BIP	6.33%	÷1.007	×0.910	×0.995	×0.998	5.68%
Triples /BIP	0.51%	÷0.900	×0.880	×0.995	×0.998	0.49%
Home runs /BIP	5.57%	÷1.040	×0.800	—	×0.998	4.28%

Factors used: league row SL. Park (home-season share, regressed): HR 108, 1B 106, 2B 101, 3B 80, K 95, BB 100 — 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 ×0.995.

Result: wOBA .353 → .292; ISO .198 → .163; BABIP .283 → .249. 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 A+Brevard County Manatees · 279 PAwOBA .366 → .309 (−57)K% 15.1% → 21.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.05%	÷0.999	×1.420	—	—	21.39%
BB% (unintentional) /PA	13.98%	÷1.061	×0.750	—	×0.988	9.76%
HBP% /PA	1.43%	—	×0.930	—	×0.988	1.32%
Singles /BIP	28.27%	÷1.032	×0.920	×0.990	×0.988	24.64%
Doubles /BIP	5.76%	÷0.969	×0.960	×0.990	×0.988	5.58%
Triples /BIP	0.00%	÷0.900	×0.810	×0.990	×0.988	0.00%
Home runs /BIP	2.62%	÷0.863	×0.880	—	×0.988	2.64%

Factors used: league row FSL. Park (home-season share, regressed): HR 73, 1B 106, 2B 94, 3B 80, K 100, BB 112 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .366 → .309; ISO .112 → .109; BABIP .349 → .310. 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 AWisconsin Timber Rattlers · 279 PAwOBA .382 → .314 (−68)K% 16.5% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.49%	÷0.995	×1.360	—	—	22.54%
BB% (unintentional) /PA	13.26%	÷0.979	×0.690	—	×0.980	9.16%
HBP% /PA	0.36%	—	×0.780	—	×0.980	0.27%
Singles /BIP	21.35%	÷1.025	×0.920	×1.030	×0.980	19.34%
Doubles /BIP	12.50%	÷0.970	×0.830	×1.030	×0.980	10.80%
Triples /BIP	0.52%	÷1.150	×0.910	×1.030	×0.980	0.42%
Home runs /BIP	3.12%	÷0.967	×0.800	—	×0.980	2.53%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 93, 1B 105, 2B 94, 3B 130, K 99, BB 96 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.030.

Result: wOBA .382 → .314; ISO .185 → .153; BABIP .351 → .310. 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 — .