Daniel Palka

PosLF

B/TL/L

Born1991-10-28

Age (2027)35

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	29	AAA/INTL2 orgs	467	.246/.353/.441	18	5	73	—	.208/.282/.364
2022	30	AAANYM	445	.263/.345/.506	26	0	75	—	.216/.273/.376
2023	31	AAA/INTL2 orgs	484	.232/.302/.419	21	3	54	—	.184/.238/.306

Contract

No contract data on file.

Skills · percentileStatcast 2018-2019

Avg EV84

Barrel%82

xwOBA38

Speed27

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)
2013	21	ROK	Missoula Osprey	—	241	205	62	20	0	7	29	45	2	2	2	302	394	502	897	200	348	19	12	388	70	—	—	—	—	—	—
2014	22	A	South Bend Silver Hawks	—	521	455	113	23	5	22	56	129	4	9	3	248	336	466	802	218	294	25	11	350	67	—	—	—	—	—	—
2015	23	A+	Visalia Rawhide	—	576	511	143	36	3	29	56	164	4	24	7	280	356	532	888	252	353	28	10	384	82	—	—	—	—	—	—
2015	23	INTL	Salt River Rafters	—	100	90	25	6	0	3	8	19	0	4	1	278	337	444	781	167	314	19	8	340	116	—	—	—	—	—	—
2016	24	AAA	Rochester Red Wings	—	223	203	47	12	0	13	18	86	1	2	1	232	297	483	780	251	324	39	8	339	65	—	—	—	—	—	—
2016	24	AA	Chattanooga Lookouts	—	345	300	81	12	4	21	38	100	1	7	4	270	354	547	901	277	324	29	11	384	73	—	—	—	—	—	—
2016	24	INTL	Leones del Escogido	—	89	80	15	3	0	3	8	30	0	1	2	188	261	338	599	150	250	34	9	268	67	—	—	—	—	—	—
2017	25	AAA	Rochester Red Wings	—	362	332	91	13	3	11	27	80	1	1	2	274	331	431	761	157	329	22	7	337	72	—	—	—	—	—	—
2017	25	ROK	GCL Twins	—	20	18	5	0	0	1	2	1	0	1	0	278	350	444	794	167	250	5	10	355	58	—	—	—	—	—	—
2017	25	INTL	Navegantes del Magallanes	—	60	54	15	5	0	1	6	9	0	0	0	278	350	426	776	148	318	15	10	347	121	—	—	—	—	—	—
2018	26	MLB	Chicago White Sox	—	449	417	100	15	3	27	30	153	2	2	1	240	294	484	778	245	308	34	7	340	111	+6	+0	-14	-6	+10	-0.4
2018	26	AAA	Charlotte Knights	—	73	63	18	3	0	3	10	21	0	1	2	286	384	476	860	190	385	29	14	383	76	—	—	—	—	—	—
2019	27	MLB	Chicago White Sox	—	93	84	9	0	0	2	8	35	1	0	1	107	194	179	372	71	149	38	9	181	8	-10	-0	-3	-6	+2	-1.8
2019	27	AAA	Charlotte Knights	—	471	395	104	23	0	27	72	109	0	2	0	263	377	527	903	263	293	23	15	392	80	—	—	—	—	—	—
2021	29	AAA	Rochester Red Wings	—	420	356	91	19	2	18	61	90	1	5	0	256	366	472	838	216	292	21	15	370	78	—	—	—	—	—	—
2021	29	INTL	Cangrejeros de Santurce	—	47	43	7	1	0	0	3	9	1	0	0	163	234	186	420	23	206	19	6	203	24	—	—	—	—	—	—
2022	30	AAA	Syracuse Mets	—	445	395	104	18	0	26	48	105	1	0	2	263	345	506	851	243	294	24	11	372	75	—	—	—	—	—	—
2023	31	AAA	Syracuse Mets	—	412	371	88	15	1	17	38	96	2	3	2	237	311	420	731	183	275	23	9	325	49	—	—	—	—	—	—
2023	31	INTL	Aguilas Cibaenas	—	72	68	14	2	0	4	3	17	1	0	0	206	250	412	662	206	213	24	4	291	83	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	542	501	109	15	3	29	38	188	3	2	2	218	277	433	710	216	282	35	7	312	98	-2	-0	-17	-12	+12	-1.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	21	ROK MLE	Missoula Osprey	—	241	217	46	14	0	5	17	65	2	2	2	212	275	346	621	134	261	27	7	272	70	—	—	—	—	—	—
2014	22	A MLE	South Bend Silver Hawks	—	521	475	92	17	4	17	36	176	4	9	3	194	256	354	610	160	254	34	7	267	67	—	—	—	—	—	—
2015	23	A+ MLE	Visalia Rawhide	—	576	531	113	27	2	25	36	219	4	24	7	213	268	412	680	200	294	38	6	290	82	—	—	—	—	—	—
2016	24	AAA MLE	Rochester Red Wings	—	223	209	39	8	0	11	12	102	1	2	1	187	234	383	617	196	287	46	5	264	65	—	—	—	—	—	—
2016	24	AA MLE	Chattanooga Lookouts	—	345	313	63	9	4	12	25	127	1	7	4	201	263	371	633	169	276	37	7	276	73	—	—	—	—	—	—
2017	25	AAA MLE	Rochester Red Wings	—	362	343	81	10	3	10	16	96	1	1	2	236	272	370	642	134	291	27	4	275	72	—	—	—	—	—	—
2017	25	ROK MLE	GCL Twins	—	20	19	4	0	0	1	1	1	0	1	0	211	250	368	618	158	190	5	5	254	58	—	—	—	—	—	—
2018	26	MLB MLE	Chicago White Sox	—	449	420	100	15	3	27	27	153	2	2	1	238	287	481	768	243	308	34	6	332	111	+6	+0	-14	-6	+10	-0.4
2018	26	AAA MLE	Charlotte Knights	—	73	67	15	2	0	2	6	26	0	1	2	224	288	343	631	119	329	36	8	281	76	—	—	—	—	—	—
2019	27	MLB MLE	Chicago White Sox	—	93	84	9	0	0	2	8	35	1	0	1	107	194	179	372	71	149	38	9	180	8	-10	-0	-3	-6	+2	-1.8
2019	27	AAA MLE	Charlotte Knights	—	471	424	85	20	0	19	43	136	0	2	0	200	274	382	656	182	236	29	9	286	80	—	—	—	—	—	—
2021	29	AAA MLE	Rochester Red Wings	—	420	379	79	16	2	13	38	110	1	5	0	208	282	364	646	156	252	26	9	283	78	—	—	—	—	—	—
2022	30	AAA MLE	Syracuse Mets	—	445	412	89	15	0	17	31	131	1	0	2	216	273	376	649	160	270	29	7	279	75	—	—	—	—	—	—
2023	31	AAA MLE	Syracuse Mets	—	412	385	71	12	1	11	25	120	2	3	2	184	238	306	544	122	238	29	6	240	49	—	—	—	—	—	—
2013	21	ROK MLE	Missoula Osprey	—	241	217	46	14	0	5	17	65	2	2	2	212	275	346	621	134	270	27	7	272	70	—	—	—	—	—	—
2013	21	ROK RAW	Missoula Osprey	—	241	205	62	20	0	7	29	45	2	2	2	302	394	502	897	200	348	19	12	388	70	—	—	—	—	—	—
2014	22	A MLE	South Bend Silver Hawks	—	521	475	92	17	4	17	36	176	4	9	3	194	256	354	610	160	260	34	7	267	67	—	—	—	—	—	—
2014	22	A RAW	South Bend Silver Hawks	—	521	455	113	23	5	22	56	129	4	9	3	248	336	466	802	218	294	25	11	350	67	—	—	—	—	—	—
2015	23	A+ MLE	2 teams	—	676	623	132	31	3	29	42	258	4	28	8	212	266	411	677	199	300	38	6	290	82	—	—	—	—	—	—
2015	23	A+ RAW	2 teams	—	676	601	168	42	3	32	64	183	4	28	8	280	353	519	872	240	346	27	9	378	82	—	—	—	—	—	—
2016	24	AA MLE	3 teams	—	657	604	119	20	4	27	43	265	2	10	7	197	253	377	630	180	287	40	7	271	70	—	—	—	—	—	—
2016	24	AA RAW	3 teams	—	657	583	143	27	4	37	64	216	2	10	7	245	322	496	818	250	314	33	10	353	70	—	—	—	—	—	—
2017	25	AAA MLE	3 teams	—	442	420	96	11	3	12	19	113	1	2	2	229	264	355	618	126	283	26	4	274	72	—	—	—	—	—	—
2017	25	AAA RAW	3 teams	—	442	404	111	18	3	13	35	90	1	2	2	275	334	431	765	156	323	20	8	339	72	—	—	—	—	—	—
2018	26	MLB MLE	2 teams	—	522	487	114	17	3	28	33	179	2	3	3	234	285	454	739	220	307	34	6	325	106	+4	-1	-14	-6	+11	-0.5
2018	26	MLB RAW	2 teams	—	522	480	118	18	3	30	40	174	2	3	3	246	307	483	790	238	319	33	8	346	106	+4	-1	-14	-6	+11	-0.5
2019	27	AAA MLE	2 teams	—	564	508	94	20	0	21	51	171	1	2	1	185	261	348	609	163	228	30	9	269	68	—	—	—	—	—	—
2019	27	AAA RAW	2 teams	—	564	479	113	23	0	29	80	144	1	2	1	236	346	466	812	230	271	26	14	358	68	—	—	—	—	—	—
2021	29	AAA MLE	2 teams	—	467	421	87	17	2	14	42	123	2	5	0	207	282	356	638	150	255	26	9	283	78	—	—	—	—	—	—
2021	29	AAA RAW	2 teams	—	467	399	98	20	2	18	64	99	2	5	0	246	353	441	794	195	282	21	14	353	78	—	—	—	—	—	—
2022	30	AAA MLE	Syracuse Mets	—	445	412	89	15	0	17	31	131	1	0	2	216	273	376	649	160	272	29	7	279	75	—	—	—	—	—	—
2022	30	AAA RAW	Syracuse Mets	—	445	395	104	18	0	26	48	105	1	0	2	263	345	506	851	243	294	24	11	372	75	—	—	—	—	—	—
2023	31	AAA MLE	2 teams	—	484	451	85	15	1	13	30	141	3	3	2	188	244	313	556	124	242	29	6	240	49	—	—	—	—	—	—
2023	31	AAA RAW	2 teams	—	484	439	102	17	1	21	41	113	3	3	2	232	302	419	721	187	266	23	8	320	49	—	—	—	—	—	—
2013	21	ROK MLE	Missoula Osprey	—	241	220	46	14	0	5	17	65	2	2	2	209	275	341	616	132	261	27	7	272	70	—	—	—	—	—	—
2014	22	A MLE	South Bend Silver Hawks	—	521	476	92	17	4	17	36	176	4	9	3	193	256	353	609	160	254	34	7	267	67	—	—	—	—	—	—
2015	23	A+ MLE	2 teams	—	676	625	132	31	3	29	42	258	4	28	8	211	266	410	676	198	294	38	6	290	82	—	—	—	—	—	—
2016	24	AA MLE	3 teams	—	657	607	119	20	4	27	43	265	2	10	7	196	253	376	628	180	280	40	7	271	70	—	—	—	—	—	—
2017	25	AAA MLE	3 teams	—	442	419	96	11	3	12	19	113	1	2	2	229	264	356	619	126	286	26	4	274	72	—	—	—	—	—	—
2018	26	MLB MLE	2 teams	—	522	482	114	17	3	28	33	179	2	3	3	237	285	459	744	222	311	34	6	325	106	—	—	—	—	—	—
2019	27	AAA MLE	2 teams	—	564	507	94	20	0	21	51	171	1	2	1	185	261	349	610	164	222	30	9	269	68	—	—	—	—	—	—
2021	29	AAA MLE	2 teams	—	467	420	87	17	2	14	42	123	2	5	0	207	282	357	639	150	252	26	9	283	78	—	—	—	—	—	—
2022	30	AAA MLE	Syracuse Mets	—	445	410	89	15	0	17	31	131	1	0	2	217	273	378	651	161	270	29	7	279	75	—	—	—	—	—	—
2023	31	AAA MLE	2 teams	—	484	448	85	15	1	13	30	141	3	3	2	190	244	315	559	125	238	29	6	240	49	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	542	501	109	15	3	29	38	188	3	2	2	218	277	433	710	216	282	35	7	312	74	-2	-0	-17	-12	+12	-1.9
/ 162G	—	A+C		—	650	601	131	18	4	35	46	225	4	2	2	218	278	436	714	218	282	35	7	312	74	-2	-0	-20	-14	+14	-2.3
Career	—	MLE		—	5019	4618	954	177	20	183	344	1622	22	64	30	207	265	372	637	166	271	32	7	278	74	-2	-0	-17	-12	+12	-1.9
/ 162G	—	MLE		—	650	598	124	23	3	24	45	210	3	8	4	207	267	376	643	169	271	32	7	278	74	-2	-0	-20	-14	+14	-2.3

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.

2023 AAASyracuse Mets · 412 PAwOBA .316 → .240 (−75)K% 23.3% → 29.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.30%	÷0.961	×1.200	—	—	29.11%
BB% (unintentional) /PA	8.98%	÷0.967	×0.690	—	×0.952	6.10%
HBP% /PA	0.49%	—	×0.940	—	×0.952	0.43%
Singles /BIP	20.00%	÷0.997	×0.930	×1.007	×0.952	17.89%
Doubles /BIP	5.45%	÷0.933	×0.830	×1.007	×0.952	4.65%
Triples /BIP	0.36%	÷1.150	×0.970	×1.007	×0.952	0.29%
Home runs /BIP	6.18%	÷1.003	×0.700	—	×0.952	4.11%

Factors used: league row International League. Park (home-season share, regressed): HR 101, 1B 99, 2B 87, 3B 130, K 92, BB 93 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.

Result: wOBA .316 → .240; ISO .183 → .126; BABIP .275 → .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).

2022 AAASyracuse Mets · 445 PAwOBA .362 → .279 (−83)K% 23.6% → 29.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.60%	÷0.961	×1.200	—	—	29.46%
BB% (unintentional) /PA	10.56%	÷1.019	×0.690	—	×0.962	6.88%
HBP% /PA	0.22%	—	×0.940	—	×0.962	0.20%
Singles /BIP	20.69%	÷0.953	×0.930	×1.036	×0.962	20.11%
Doubles /BIP	6.21%	÷0.951	×0.830	×1.036	×0.962	5.40%
Triples /BIP	0.00%	÷1.000	×0.970	×1.036	×0.962	0.00%
Home runs /BIP	8.97%	÷1.033	×0.700	—	×0.962	5.85%

Factors used: league row International League. Park (home-season share, regressed): HR 107, 1B 91, 2B 90, 3B 100, K 92, BB 104 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.036.

Result: wOBA .362 → .279; ISO .243 → .164; BABIP .294 → .270. 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).

2021 AAARochester Red Wings · 420 PAwOBA .360 → .283 (−77)K% 21.4% → 26.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.43%	÷0.979	×1.200	—	—	26.26%
BB% (unintentional) /PA	13.81%	÷1.014	×0.690	—	×0.972	9.13%
HBP% /PA	0.24%	—	×0.940	—	×0.972	0.22%
Singles /BIP	19.55%	÷0.994	×0.930	×1.005	×0.972	17.87%
Doubles /BIP	7.14%	÷1.005	×0.830	×1.005	×0.972	5.76%
Triples /BIP	0.75%	÷1.150	×0.920	×1.005	×0.972	0.59%
Home runs /BIP	6.77%	÷0.968	×0.700	—	×0.972	4.76%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 99, 2B 101, 3B 130, K 96, BB 103 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.005.

Result: wOBA .360 → .283; ISO .216 → .161; BABIP .292 → .252. 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).

2019 AAACharlotte Knights · 471 PAwOBA .383 → .286 (−96)K% 23.1% → 28.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.14%	÷0.962	×1.200	—	—	28.88%
BB% (unintentional) /PA	14.44%	÷1.077	×0.690	—	×0.992	9.18%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	18.88%	÷1.061	×0.930	×0.950	×0.992	15.60%
Doubles /BIP	8.04%	÷0.921	×0.830	×0.950	×0.992	6.83%
Triples /BIP	0.00%	÷0.900	×0.970	×0.950	×0.992	0.00%
Home runs /BIP	9.44%	÷1.212	×0.840	—	×0.992	6.49%

Factors used: league row IL. Park (home-season share, regressed): HR 142, 1B 112, 2B 84, 3B 80, K 92, BB 115 — 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 ×0.950.

Result: wOBA .383 → .286; ISO .263 → .194; BABIP .293 → .236. 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 AAACharlotte Knights · 73 PAwOBA .368 → .281 (−87)K% 28.8% → 35.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.77%	÷0.986	×1.200	—	—	34.99%
BB% (unintentional) /PA	12.33%	÷1.030	×0.690	—	×1.003	8.28%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	28.57%	÷1.030	×0.930	—	×1.003	25.87%
Doubles /BIP	7.14%	÷1.077	×0.830	—	×1.003	5.52%
Triples /BIP	0.00%	÷1.150	×0.970	—	×1.003	0.00%
Home runs /BIP	7.14%	÷1.319	×0.840	—	×1.003	4.56%

Factors used: league row IL. Park (home-season share, regressed): HR 164, 1B 106, 2B 115, 3B 130, K 97, BB 106 — 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).

Result: wOBA .368 → .281; ISO .190 → .126; BABIP .385 → .329. 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 · 362 PAwOBA .326 → .275 (−52)K% 22.1% → 26.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.10%	÷0.997	×1.200	—	—	26.60%
BB% (unintentional) /PA	6.63%	÷1.080	×0.690	—	×1.018	4.31%
HBP% /PA	0.28%	—	×0.940	—	×1.018	0.26%
Singles /BIP	25.40%	÷1.019	×0.930	×0.982	×1.018	23.16%
Doubles /BIP	5.16%	÷1.085	×0.830	×0.982	×1.018	3.94%
Triples /BIP	1.19%	÷1.085	×0.970	×0.982	×1.018	1.06%
Home runs /BIP	4.37%	÷0.956	×0.840	—	×1.018	3.91%

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 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 ×0.982.

Result: wOBA .326 → .275; ISO .157 → .133; BABIP .329 → .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).

2017 ROKGCL Twins · 20 PAwOBA .345 → .254 (−91)K% 5.0% → 7.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	5.00%	÷1.000	×1.440	—	—	7.20%
BB% (unintentional) /PA	10.00%	÷1.000	×0.620	—	×0.940	5.83%
HBP% /PA	0.00%	—	×0.720	—	×0.940	0.00%
Singles /BIP	23.53%	÷1.000	×0.820	—	×0.940	18.14%
Doubles /BIP	0.00%	÷1.000	×0.720	—	×0.940	0.00%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.940	0.00%
Home runs /BIP	5.88%	÷1.000	×0.780	—	×0.940	4.31%

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 26 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (6.5 yr older than average).

Result: wOBA .345 → .254; ISO .167 → .125; BABIP .250 → .190. 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 AAChattanooga Lookouts · 345 PAwOBA .380 → .276 (−104)K% 29.0% → 36.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.99%	÷0.961	×1.220	—	—	36.81%
BB% (unintentional) /PA	11.01%	÷1.039	×0.680	—	×0.998	7.20%
HBP% /PA	0.29%	—	×0.840	—	×0.998	0.24%
Singles /BIP	22.00%	÷1.005	×0.920	×0.989	×0.998	19.89%
Doubles /BIP	6.00%	÷1.108	×0.910	×0.989	×0.998	4.86%
Triples /BIP	2.00%	÷0.900	×0.880	×0.989	×0.998	1.93%
Home runs /BIP	10.50%	÷1.301	×0.800	—	×0.998	6.45%

Factors used: league row SL. Park (home-season share, regressed): HR 160, 1B 101, 2B 122, 3B 80, K 92, BB 108 — 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 ×0.989.

Result: wOBA .380 → .276; ISO .277 → .180; BABIP .324 → .276. 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 — .