Eric Thames

Pos1B

B/TL/R

Born1986-11-10

Age (2027)40

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	32	MLBMIL	459	.247/.348/.505	25	3	134	2.2
2020	33	MLBWSH	140	.203/.300/.317	3	1	76	-0.5
2022	35	AAAOAK	92	.274/.337/.452	3	0	48	—	.198/.250/.314
2023	36	No MLB games played
2024	37	No MLB games played
2025	38	No MLB games played
2026	39	No MLB games played

Last 3 seasons WAR 1.7

Contract

No contract data on file.

Skills · percentileStatcast 2018-2020

Avg EV71

Barrel%68

xwOBA58

Speed17

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)
2009	22	A+	Dunedin Blue Jays	—	220	195	61	15	5	3	21	40	3	1	1	313	388	487	875	174	379	18	10	386	98	—	—	—	—	—	—
2009	22	ROK	GCL Blue Jays	—	25	21	6	3	0	0	3	5	0	0	0	286	375	429	804	143	353	20	12	346	53	—	—	—	—	—	—
2010	23	AA	New Hampshire Fisher Cats	—	573	496	143	25	6	27	50	121	18	8	5	288	374	526	900	238	327	21	9	389	109	—	—	—	—	—	—
2010	23	INTL	Peoria Javelinas	—	103	87	23	7	0	3	14	24	1	3	0	264	373	448	821	184	328	23	14	364	133	—	—	—	—	—	—
2011	24	MLB	Toronto Blue Jays	—	394	362	95	24	5	12	23	88	5	2	1	262	315	456	771	193	313	22	6	336	113	+6	+0	-11	-7	+9	-0.4
2011	24	AAA	Las Vegas 51s	—	241	210	74	25	4	7	23	41	5	5	2	352	429	610	1.038	257	406	17	10	445	123	—	—	—	—	—	—
2012	25	MLB	Seattle Mariners	—	290	271	63	12	3	9	15	87	1	1	1	232	275	399	674	166	305	30	5	295	88	-4	-0	-10	-6	+6	-1.4
2012	25	AAA	Las Vegas 51s	—	231	197	65	15	3	6	26	42	3	1	1	330	416	528	944	198	383	18	11	407	106	—	—	—	—	—	—
2013	26	AAA	Norfolk Tides	—	398	352	98	20	2	10	40	95	4	6	2	278	359	432	790	153	353	24	10	353	83	—	—	—	—	—	—
2013	26	ROK	GCL Orioles	—	22	16	6	1	0	0	4	1	2	2	0	375	545	438	983	62	400	5	18	458	112	—	—	—	—	—	—
2013	26	INTL	Leones del Caracas	—	39	35	10	1	0	2	2	9	2	0	0	286	359	486	845	200	333	23	5	376	140	—	—	—	—	—	—
2017	30	MLB	Milwaukee Brewers	—	551	469	116	26	4	31	75	163	7	4	2	247	359	518	877	271	309	30	14	384	141	+27	+0	-8	-10	+12	2.2
2018	31	MLB	Milwaukee Brewers	—	278	247	54	10	3	16	29	97	2	7	0	219	306	478	783	259	284	35	10	343	110	+3	+1	-7	-5	+6	-0.1
2018	31	AAA	Colorado Springs Sky Sox	—	15	14	6	0	0	1	1	0	0	0	0	429	467	643	1.110	214	385	0	7	487	140	—	—	—	—	—	—
2019	32	MLB	Milwaukee Brewers	—	459	396	98	23	2	25	51	140	10	3	2	247	348	505	853	258	313	31	11	373	134	+19	-0	+1	-8	+10	2.2
2020	33	MLB	Washington Nationals	—	140	123	25	5	0	3	14	42	3	1	0	203	300	317	617	114	282	30	10	286	76	-4	+0	-2	-3	+3	-0.5
2022	35	AAA	Las Vegas Aviators	—	92	84	23	6	0	3	7	35	1	0	0	274	337	452	789	179	435	38	8	350	48	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2112	1868	451	100	17	96	207	617	28	18	6	241	326	467	794	226	306	29	10	348	122	+55	+1	-36	-38	+46	2.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	22	A+ MLE	Dunedin Blue Jays	—	220	201	51	13	4	2	15	57	3	1	1	254	315	388	703	134	343	26	7	313	98	—	—	—	—	—	—
2009	22	ROK MLE	GCL Blue Jays	—	25	22	4	2	0	0	2	7	0	0	0	182	250	273	523	91	262	28	8	247	53	—	—	—	—	—	—
2010	23	AA MLE	New Hampshire Fisher Cats	—	573	513	129	23	5	22	33	148	18	8	5	251	319	444	764	193	298	26	6	329	109	—	—	—	—	—	—
2011	24	MLB MLE	Toronto Blue Jays	—	394	362	95	24	5	12	23	88	5	2	1	262	315	456	771	193	313	22	6	335	113	+6	+0	-11	-7	+9	-0.4
2011	24	AAA MLE	Las Vegas 51s	—	241	220	63	19	3	5	13	53	5	5	2	286	340	468	809	182	342	22	5	350	123	—	—	—	—	—	—
2012	25	MLB MLE	Seattle Mariners	—	290	271	63	12	3	9	15	87	1	1	1	232	275	399	674	166	305	30	5	298	88	-4	-0	-10	-6	+6	-1.4
2012	25	AAA MLE	Las Vegas 51s	—	231	205	54	11	2	5	18	54	3	1	1	263	332	410	742	146	318	23	8	325	106	—	—	—	—	—	—
2013	26	AAA MLE	Norfolk Tides	—	398	365	88	17	2	8	27	118	4	6	2	241	301	364	665	123	326	30	7	291	83	—	—	—	—	—	—
2013	26	ROK MLE	GCL Orioles	—	22	18	5	1	0	0	2	1	2	2	0	278	409	333	742	56	302	5	9	334	112	—	—	—	—	—	—
2017	30	MLB MLE	Milwaukee Brewers	—	551	474	117	28	4	30	70	163	7	4	2	247	352	513	865	266	309	30	13	377	141	+27	+0	-8	-10	+12	2.2
2018	31	MLB MLE	Milwaukee Brewers	—	278	251	54	11	3	15	25	97	2	7	0	215	291	462	754	247	284	35	9	331	110	+3	+1	-7	-5	+6	-0.1
2018	31	AAA MLE	Colorado Springs Sky Sox	—	15	14	5	0	0	1	1	0	0	0	0	357	400	571	971	214	317	0	7	375	140	—	—	—	—	—	—
2019	32	MLB MLE	Milwaukee Brewers	—	459	400	99	25	2	24	47	140	10	3	2	247	341	500	841	253	313	31	10	366	134	+19	-0	+1	-8	+10	2.2
2020	33	MLB MLE	Washington Nationals	—	140	124	25	5	0	3	13	42	3	1	0	202	293	315	607	113	282	30	9	280	76	-4	+0	-2	-3	+3	-0.5
2022	35	AAA MLE	Las Vegas Aviators	—	92	86	17	4	0	2	5	42	1	0	0	198	250	314	564	116	352	46	5	239	48	—	—	—	—	—	—
2009	22	A+ MLE	2 teams	—	245	223	56	15	4	2	17	64	3	1	1	251	313	381	694	130	340	26	7	306	93	—	—	—	—	—	—
2009	22	A+ RAW	2 teams	—	245	216	67	18	5	3	24	45	3	1	1	310	387	481	868	171	376	18	10	382	93	—	—	—	—	—	—
2010	23	AA MLE	2 teams	—	676	608	152	27	6	26	39	175	19	11	5	250	315	442	758	192	304	26	6	329	109	—	—	—	—	—	—
2010	23	AA RAW	2 teams	—	676	583	166	32	6	30	64	145	19	11	5	285	374	515	888	230	327	21	9	385	109	—	—	—	—	—	—
2011	24	MLB MLE	2 teams	—	635	582	157	43	8	17	36	141	10	7	3	270	323	459	782	189	326	22	6	341	117	+13	+0	-11	-7	+14	0.9
2011	24	MLB RAW	2 teams	—	635	572	169	49	9	19	46	129	10	7	3	295	358	512	871	217	349	20	7	377	117	+13	+0	-11	-7	+14	0.9
2012	25	MLB MLE	2 teams	—	521	476	118	23	5	14	33	141	4	2	2	248	302	405	708	158	317	27	6	310	96	-2	-0	-10	-6	+11	-0.7
2012	25	MLB RAW	2 teams	—	521	468	128	27	6	15	41	129	4	2	2	274	337	453	790	179	341	25	8	345	96	-2	-0	-10	-6	+11	-0.7
2013	26	AAA MLE	3 teams	—	459	417	101	19	2	9	32	130	8	8	2	242	309	362	671	120	329	28	7	293	85	—	—	—	—	—	—
2013	26	AAA RAW	3 teams	—	459	403	114	22	2	12	46	105	8	8	2	283	368	437	804	154	354	23	10	360	85	—	—	—	—	—	—
2017	30	MLB MLE	Milwaukee Brewers	—	551	474	117	28	4	30	70	163	7	4	2	247	352	513	865	266	310	30	13	377	141	+27	+0	-8	-10	+12	2.2
2017	30	MLB RAW	Milwaukee Brewers	—	551	469	116	26	4	31	75	163	7	4	2	247	359	518	877	271	309	30	14	384	141	+27	+0	-8	-10	+12	2.2
2018	31	MLB MLE	2 teams	—	293	265	59	11	3	16	26	97	2	7	0	223	297	468	765	245	283	33	9	333	112	+4	+1	-7	-5	+6	-0.0
2018	31	MLB RAW	2 teams	—	293	261	60	10	3	17	30	97	2	7	0	230	314	487	801	257	293	33	10	350	112	+4	+1	-7	-5	+6	-0.0
2019	32	MLB MLE	Milwaukee Brewers	—	459	400	99	25	2	24	47	140	10	3	2	247	341	500	841	253	315	31	10	366	134	+19	-0	+1	-8	+10	2.2
2019	32	MLB RAW	Milwaukee Brewers	—	459	396	98	23	2	25	51	140	10	3	2	247	348	505	853	258	313	31	11	373	134	+19	-0	+1	-8	+10	2.2
2020	33	MLB MLE	Washington Nationals	—	140	124	25	5	0	3	13	42	3	1	0	202	293	315	607	113	278	30	9	280	76	-4	+0	-2	-3	+3	-0.5
2020	33	MLB RAW	Washington Nationals	—	140	123	25	5	0	3	14	42	3	1	0	203	300	317	617	114	282	30	10	286	76	-4	+0	-2	-3	+3	-0.5
2022	35	AAA MLE	Las Vegas Aviators	—	92	86	17	4	0	2	5	42	1	0	0	198	250	314	564	116	357	46	5	239	48	—	—	—	—	—	—
2022	35	AAA RAW	Las Vegas Aviators	—	92	84	23	6	0	3	7	35	1	0	0	274	337	452	789	179	435	38	8	350	48	—	—	—	—	—	—
2009	22	A+ MLE	2 teams	—	245	223	56	15	4	2	17	64	3	1	1	251	313	381	694	130	335	26	7	306	93	—	—	—	—	—	—
2010	23	AA MLE	2 teams	—	676	613	152	27	6	26	39	175	19	11	5	248	315	439	754	191	298	26	6	329	109	—	—	—	—	—	—
2011	24	MLB MLE	2 teams	—	635	584	157	43	8	17	36	141	10	7	3	269	323	457	780	188	324	22	6	341	117	—	—	—	—	—	—
2012	25	MLB MLE	2 teams	—	521	479	118	23	5	14	33	141	4	2	2	246	302	403	705	157	311	27	6	310	96	—	—	—	—	—	—
2013	26	AAA MLE	3 teams	—	459	416	101	19	2	9	32	130	8	8	2	243	309	363	672	120	325	28	7	293	85	—	—	—	—	—	—
2017	30	MLB MLE	Milwaukee Brewers	—	551	469	117	28	4	30	70	163	7	4	2	249	352	518	870	269	309	30	13	377	141	—	—	—	—	—	—
2018	31	MLB MLE	2 teams	—	293	263	59	11	3	16	26	97	2	7	0	224	297	471	768	247	285	33	9	333	112	—	—	—	—	—	—
2019	32	MLB MLE	Milwaukee Brewers	—	459	399	99	25	2	24	47	140	10	3	2	248	341	501	843	253	313	31	10	366	134	—	—	—	—	—	—
2020	33	MLB MLE	Washington Nationals	—	140	123	25	5	0	3	13	42	3	1	0	203	293	317	610	114	282	30	9	280	76	—	—	—	—	—	—
2022	35	AAA MLE	Las Vegas Aviators	—	92	86	17	4	0	2	5	42	1	0	0	198	250	314	564	116	352	46	5	239	48	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2112	1868	451	100	17	96	207	617	28	18	6	241	326	467	794	226	306	29	10	348	110	+55	+1	-36	-38	+46	2.8
/ 162G	—	A+C		—	650	575	139	31	5	30	64	190	9	6	2	242	328	470	797	228	305	29	10	348	110	+17	+0	-11	-12	+14	0.9
Career	—	MLE		—	4071	3655	901	200	34	143	318	1135	67	44	17	247	318	437	756	191	315	28	8	330	110	+55	+1	-36	-38	+46	2.8
/ 162G	—	MLE		—	650	584	144	32	5	23	51	181	11	7	3	247	319	437	756	190	315	28	8	330	110	+17	+0	-11	-12	+14	0.9

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.

2022 AAALas Vegas Aviators · 92 PAwOBA .341 → .239 (−102)K% 38.0% → 45.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	38.04%	÷1.009	×1.200	—	—	45.23%
BB% (unintentional) /PA	7.61%	÷0.992	×0.690	—	×0.940	4.97%
HBP% /PA	1.09%	—	×0.940	—	×0.940	0.96%
Singles /BIP	28.57%	÷0.995	×0.930	—	×0.940	25.09%
Doubles /BIP	12.24%	÷1.088	×0.830	—	×0.940	8.78%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.940	0.00%
Home runs /BIP	6.12%	÷1.075	×0.700	—	×0.940	3.75%

Factors used: league row International League. Park (home-season share, regressed): HR 115, 1B 99, 2B 118, 3B 80, K 102, BB 98 — applied at half strength. Age: age 36 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (8.8 yr older than average).

Result: wOBA .341 → .239; ISO .179 → .107; BABIP .435 → .352. 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).

2018 AAAColorado Springs Sky Sox · 15 PAwOBA .473 → .375 (−98)K% 0.0% → 0.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	0.00%	÷0.925	×1.290	—	—	0.00%
BB% (unintentional) /PA	6.67%	÷0.985	×0.710	—	×0.952	4.57%
HBP% /PA	0.00%	—	×0.980	—	×0.952	0.00%
Singles /BIP	35.71%	÷1.014	×0.900	—	×0.952	30.17%
Doubles /BIP	0.00%	÷1.014	×0.810	—	×0.952	0.00%
Triples /BIP	0.00%	÷1.150	×0.810	—	×0.952	0.00%
Home runs /BIP	7.14%	÷1.124	×0.780	—	×0.952	4.72%

Factors used: league row PCL. Park (home-season share, regressed): HR 125, 1B 103, 2B 103, 3B 130, K 85, BB 97 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average).

Result: wOBA .473 → .375; ISO .214 → .145; BABIP .385 → .317. 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 AAANorfolk Tides · 398 PAwOBA .344 → .291 (−53)K% 23.9% → 29.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.87%	÷0.967	×1.200	—	—	29.62%
BB% (unintentional) /PA	9.80%	÷1.001	×0.690	—	×1.003	6.77%
HBP% /PA	1.01%	—	×0.940	—	×1.003	0.95%
Singles /BIP	25.68%	÷0.970	×0.930	×0.984	×1.003	24.30%
Doubles /BIP	7.78%	÷0.956	×0.830	×0.984	×1.003	6.67%
Triples /BIP	0.78%	÷0.900	×0.970	×0.984	×1.003	0.83%
Home runs /BIP	3.89%	÷1.006	×0.840	—	×1.003	3.26%

Factors used: league row IL. Park (home-season share, regressed): HR 101, 1B 94, 2B 91, 3B 80, K 93, BB 100 — 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 ×0.984.

Result: wOBA .344 → .291; ISO .153 → .128; BABIP .353 → .326. 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 ROKGCL Orioles · 22 PAwOBA .448 → .334 (−114)K% 4.5% → 6.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	4.55%	÷1.000	×1.440	—	—	6.55%
BB% (unintentional) /PA	18.18%	÷1.000	×0.620	—	×0.940	10.60%
HBP% /PA	9.09%	—	×0.720	—	×0.940	6.15%
Singles /BIP	33.33%	÷1.000	×0.820	—	×0.940	25.69%
Doubles /BIP	6.67%	÷1.000	×0.720	—	×0.940	4.51%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.940	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 27 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (7.5 yr older than average).

Result: wOBA .448 → .334; ISO .062 → .048; BABIP .400 → .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).

2012 AAALas Vegas 51s · 231 PAwOBA .404 → .325 (−79)K% 18.2% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.18%	÷1.004	×1.290	—	—	23.35%
BB% (unintentional) /PA	10.82%	÷0.985	×0.710	—	×1.018	7.94%
HBP% /PA	1.30%	—	×0.980	—	×1.018	1.30%
Singles /BIP	26.45%	÷0.985	×0.900	×0.950	×1.018	23.38%
Doubles /BIP	9.68%	÷1.085	×0.810	×0.950	×1.018	6.99%
Triples /BIP	1.94%	÷0.994	×0.810	×0.950	×1.018	1.53%
Home runs /BIP	3.87%	÷1.059	×0.780	—	×1.018	2.90%

Factors used: league row PCL. Park (home-season share, regressed): HR 112, 1B 97, 2B 117, 3B 99, K 101, BB 97 — 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 ×0.950.

Result: wOBA .404 → .325; ISO .198 → .148; BABIP .383 → .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 AAALas Vegas 51s · 241 PAwOBA .433 → .350 (−83)K% 17.0% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.01%	÷0.992	×1.290	—	—	22.12%
BB% (unintentional) /PA	7.47%	÷0.998	×0.710	—	×1.033	5.49%
HBP% /PA	2.07%	—	×0.980	—	×1.033	2.10%
Singles /BIP	22.49%	÷0.974	×0.900	×0.977	×1.033	20.96%
Doubles /BIP	14.79%	÷1.082	×0.810	×0.977	×1.033	11.18%
Triples /BIP	2.37%	÷1.123	×0.810	×0.977	×1.033	1.72%
Home runs /BIP	4.14%	÷1.200	×0.780	—	×1.033	2.78%

Factors used: league row PCL. Park (home-season share, regressed): HR 140, 1B 95, 2B 116, 3B 125, K 98, BB 100 — 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 ×0.977.

Result: wOBA .433 → .350; ISO .257 → .185; BABIP .406 → .342. 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).

2010 AANew Hampshire Fisher Cats · 573 PAwOBA .382 → .329 (−54)K% 21.1% → 25.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.12%	÷0.994	×1.220	—	—	25.92%
BB% (unintentional) /PA	8.38%	÷1.016	×0.700	—	×1.012	5.84%
HBP% /PA	3.14%	—	×0.850	—	×1.012	2.70%
Singles /BIP	22.67%	÷1.050	×0.970	×0.995	×1.012	21.08%
Doubles /BIP	6.67%	÷0.935	×0.860	×0.995	×1.012	6.18%
Triples /BIP	1.60%	÷1.150	×0.950	×0.995	×1.012	1.33%
Home runs /BIP	7.20%	÷0.957	×0.780	—	×1.012	5.94%

Factors used: league row EL. Park (home-season share, regressed): HR 91, 1B 110, 2B 87, 3B 130, K 99, BB 103 — 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 ×0.995.

Result: wOBA .382 → .329; ISO .238 → .202; BABIP .327 → .298. 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).

2009 A+Dunedin Blue Jays · 220 PAwOBA .376 → .313 (−63)K% 18.2% → 25.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.18%	÷1.000	×1.420	—	—	25.82%
BB% (unintentional) /PA	9.09%	÷1.000	×0.750	—	×0.998	6.80%
HBP% /PA	1.36%	—	×0.930	—	×0.998	1.27%
Singles /BIP	24.52%	÷1.000	×0.920	×0.987	×0.998	22.22%
Doubles /BIP	9.68%	÷1.000	×0.960	×0.987	×0.998	9.15%
Triples /BIP	3.23%	÷1.000	×0.810	×0.987	×0.998	2.57%
Home runs /BIP	1.94%	÷1.000	×0.880	—	×0.998	1.70%

Factors used: league row FSL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.

Result: wOBA .376 → .313; ISO .174 → .145; BABIP .379 → .343. 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 — .