Jason Krizan

PosLF

B/TL/R

Born1989-06-28

Age (2027)38

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
2020	31	INTLGigantes del …	35	.121/.147/.182	0	0	-16	—
2021	32	AAASF	480	.316/.374/.492	16	1	91	—	.262/.306/.393
2022	33	AAASF	395	.266/.332/.487	15	1	71	—	.214/.260/.371

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.

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)
2011	22	A	West Michigan Whitecaps	—	205	184	44	4	1	3	13	30	1	1	1	239	293	321	614	82	272	15	6	270	40	—	—	—	—	—	—
2012	23	A	West Michigan Whitecaps	—	426	365	89	20	1	4	50	48	1	5	3	244	337	337	674	93	267	11	12	303	52	—	—	—	—	—	—
2013	24	A+	Lakeland Flying Tigers	—	472	399	115	21	5	4	62	44	5	1	1	288	391	396	787	108	314	9	13	354	93	—	—	—	—	—	—
2014	25	AA	Erie SeaWolves	—	525	464	136	31	2	7	53	47	1	14	7	293	367	414	781	121	312	9	10	347	95	—	—	—	—	—	—
2015	26	AAA	Toledo Mud Hens	—	82	71	12	1	0	0	7	15	0	0	1	169	244	183	427	14	207	18	9	197	9	—	—	—	—	—	—
2015	26	AA	Erie SeaWolves	—	475	414	110	22	2	8	51	43	0	13	5	266	346	386	733	121	277	9	11	325	75	—	—	—	—	—	—
2016	27	AAA	Toledo Mud Hens	—	111	100	30	7	0	1	11	14	0	0	1	300	369	400	769	100	341	13	10	348	79	—	—	—	—	—	—
2016	27	AA	Erie SeaWolves	—	406	356	104	24	6	9	45	27	0	2	3	292	372	469	841	177	292	7	11	368	91	—	—	—	—	—	—
2016	27	INTL	Estrellas Orientales	—	166	134	38	6	1	2	31	21	0	1	0	284	418	388	806	104	324	13	19	370	136	—	—	—	—	—	—
2017	28	AAA	Toledo Mud Hens	—	414	371	98	22	4	4	40	53	0	4	5	264	336	377	713	113	297	13	10	320	64	—	—	—	—	—	—
2017	28	AA	Erie SeaWolves	—	66	56	22	4	0	4	8	3	0	2	1	393	469	679	1.147	286	353	5	12	480	149	—	—	—	—	—	—
2017	28	INTL	Estrellas Orientales	—	21	20	3	0	0	0	1	7	0	0	0	150	190	150	340		231	33	5	163	-4	—	—	—	—	—	—
2018	29	AAA	Toledo Mud Hens	—	415	368	92	19	2	8	46	67	0	4	0	250	333	378	711	128	286	16	11	321	66	—	—	—	—	—	—
2019	30	AAA	Syracuse Mets	—	76	63	23	9	0	2	12	9	0	1	0	365	467	603	1.070	238	404	12	16	460	136	—	—	—	—	—	—
2019	30	AA	Binghamton Rumble Ponies	—	367	323	83	22	1	12	38	36	1	0	0	257	337	443	780	186	256	10	10	342	71	—	—	—	—	—	—
2020	31	INTL	Gigantes del Cibao	—	35	33	4	2	0	0	1	8	0	0	0	121	147	182	329	61	154	23	3	145	-16	—	—	—	—	—	—
2021	32	AAA	Sacramento River Cats	—	480	431	136	26	1	16	39	70	1	1	0	316	374	492	866	176	340	15	8	376	91	—	—	—	—	—	—
2022	33	AAA	Sacramento River Cats	—	395	357	95	30	2	15	35	61	0	1	1	266	332	487	819	221	282	15	9	357	71	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	22	A MLE	West Michigan Whitecaps	—	205	189	41	4	1	3	8	42	1	1	1	217	253	296	549	79	250	20	4	228	40	—	—	—	—	—	—
2012	23	A MLE	West Michigan Whitecaps	—	426	383	79	17	1	4	32	67	1	5	3	206	269	287	556	81	229	16	8	245	52	—	—	—	—	—	—
2013	24	A+ MLE	Lakeland Flying Tigers	—	472	417	109	22	4	3	44	61	5	1	1	261	339	355	694	94	290	13	9	306	93	—	—	—	—	—	—
2014	25	AA MLE	Erie SeaWolves	—	525	480	132	30	2	6	37	56	1	14	7	275	328	383	712	108	293	11	7	309	95	—	—	—	—	—	—
2015	26	AAA MLE	Toledo Mud Hens	—	82	73	13	1	0	0	5	18	0	0	1	178	231	192	423	14	205	22	6	182	9	—	—	—	—	—	—
2015	26	AA MLE	Erie SeaWolves	—	475	433	107	18	2	6	32	55	0	13	5	247	299	339	638	92	261	12	7	279	75	—	—	—	—	—	—
2016	27	AAA MLE	Toledo Mud Hens	—	111	103	26	5	0	1	8	17	0	0	1	252	306	330	636	78	299	15	7	285	79	—	—	—	—	—	—
2016	27	AA MLE	Erie SeaWolves	—	406	372	94	21	5	7	29	33	0	2	3	253	307	392	699	140	254	8	7	303	91	—	—	—	—	—	—
2017	28	AAA MLE	Toledo Mud Hens	—	414	384	86	20	3	3	27	63	0	4	5	224	275	315	590	91	259	15	7	263	64	—	—	—	—	—	—
2017	28	AA MLE	Erie SeaWolves	—	66	59	20	4	0	3	5	4	0	2	1	339	391	559	950	220	297	6	8	388	149	—	—	—	—	—	—
2018	29	AAA MLE	Toledo Mud Hens	—	415	383	83	15	2	7	31	80	0	4	0	217	275	321	597	104	254	19	7	266	66	—	—	—	—	—	—
2019	30	AAA MLE	Syracuse Mets	—	76	67	20	7	0	2	8	11	0	1	0	299	373	493	866	194	330	14	11	369	136	—	—	—	—	—	—
2019	30	AA MLE	Binghamton Rumble Ponies	—	367	334	72	19	1	9	27	40	1	0	0	216	276	359	636	144	214	11	7	273	71	—	—	—	—	—	—
2021	32	AAA MLE	Sacramento River Cats	—	480	443	116	23	1	11	27	81	1	1	0	262	306	393	699	131	285	17	6	302	91	—	—	—	—	—	—
2022	33	AAA MLE	Sacramento River Cats	—	395	369	79	24	2	10	23	74	0	1	1	214	260	371	631	157	238	19	6	273	71	—	—	—	—	—	—
2011	22	A MLE	West Michigan Whitecaps	—	205	189	41	4	1	3	8	42	1	1	1	217	253	296	549	79	264	20	4	228	40	—	—	—	—	—	—
2011	22	A RAW	West Michigan Whitecaps	—	205	184	44	4	1	3	13	30	1	1	1	239	293	321	614	82	272	15	6	270	40	—	—	—	—	—	—
2012	23	A MLE	West Michigan Whitecaps	—	426	383	79	17	1	4	32	67	1	5	3	206	269	287	556	81	237	16	8	245	52	—	—	—	—	—	—
2012	23	A RAW	West Michigan Whitecaps	—	426	365	89	20	1	4	50	48	1	5	3	244	337	337	674	93	267	11	12	303	52	—	—	—	—	—	—
2013	24	A+ MLE	Lakeland Flying Tigers	—	472	417	109	22	4	3	44	61	5	1	1	261	339	355	694	94	298	13	9	306	93	—	—	—	—	—	—
2013	24	A+ RAW	Lakeland Flying Tigers	—	472	399	115	21	5	4	62	44	5	1	1	288	391	396	787	108	314	9	13	354	93	—	—	—	—	—	—
2014	25	AA MLE	Erie SeaWolves	—	525	480	132	30	2	6	37	56	1	14	7	275	328	383	712	108	299	11	7	309	95	—	—	—	—	—	—
2014	25	AA RAW	Erie SeaWolves	—	525	464	136	31	2	7	53	47	1	14	7	293	367	414	781	121	312	9	10	347	95	—	—	—	—	—	—
2015	26	AA MLE	2 teams	—	557	506	120	19	2	6	37	73	0	13	6	237	289	318	607	81	263	13	7	265	65	—	—	—	—	—	—
2015	26	AA RAW	2 teams	—	557	485	122	23	2	8	58	58	0	13	6	252	331	357	688	105	268	10	10	306	65	—	—	—	—	—	—
2016	27	AA MLE	3 teams	—	683	628	159	35	7	10	49	65	0	3	4	253	307	379	686	126	267	10	7	299	89	—	—	—	—	—	—
2016	27	AA RAW	3 teams	—	683	590	172	37	7	12	87	62	0	3	4	292	383	439	822	147	307	9	13	365	89	—	—	—	—	—	—
2017	28	AAA MLE	3 teams	—	501	463	112	25	4	6	33	70	0	6	6	242	292	352	644	110	271	14	7	280	76	—	—	—	—	—	—
2017	28	AAA RAW	3 teams	—	501	447	123	26	4	8	49	63	0	6	6	275	347	405	752	130	303	13	10	335	76	—	—	—	—	—	—
2018	29	AAA MLE	Toledo Mud Hens	—	415	383	83	15	2	7	31	80	0	4	0	217	275	321	597	104	256	19	7	266	66	—	—	—	—	—	—
2018	29	AAA RAW	Toledo Mud Hens	—	415	368	92	19	2	8	46	67	0	4	0	250	333	378	711	128	286	16	11	321	66	—	—	—	—	—	—
2019	30	AA MLE	2 teams	—	443	401	92	26	1	11	35	51	1	1	0	229	293	382	674	152	238	12	8	289	82	—	—	—	—	—	—
2019	30	AA RAW	2 teams	—	443	386	106	31	1	14	50	45	1	1	0	275	359	469	828	194	280	10	11	362	82	—	—	—	—	—	—
2020	31	INTL MLE	Gigantes del Cibao	—	35	33	4	2	0	0	1	8	0	0	0	121	147	182	329	61	154	23	3	—	—	—	—	—	—	—	—
2020	31	INTL RAW	Gigantes del Cibao	—	35	33	4	2	0	0	1	8	0	0	0	121	147	182	329	61	154	23	3	145	-16	—	—	—	—	—	—
2021	32	AAA MLE	Sacramento River Cats	—	480	443	116	23	1	11	27	81	1	1	0	262	306	393	699	131	292	17	6	302	91	—	—	—	—	—	—
2021	32	AAA RAW	Sacramento River Cats	—	480	431	136	26	1	16	39	70	1	1	0	316	374	492	866	176	340	15	8	376	91	—	—	—	—	—	—
2022	33	AAA MLE	Sacramento River Cats	—	395	369	79	24	2	10	23	74	0	1	1	214	260	371	631	157	240	19	6	273	71	—	—	—	—	—	—
2022	33	AAA RAW	Sacramento River Cats	—	395	357	95	30	2	15	35	61	0	1	1	266	332	487	819	221	282	15	9	357	71	—	—	—	—	—	—
2011	22	A MLE	West Michigan Whitecaps	—	205	194	41	4	1	3	8	42	1	1	1	211	253	289	541	77	250	20	4	228	40	—	—	—	—	—	—
2012	23	A MLE	West Michigan Whitecaps	—	426	390	79	17	1	4	32	67	1	5	3	203	269	282	551	79	229	16	8	245	52	—	—	—	—	—	—
2013	24	A+ MLE	Lakeland Flying Tigers	—	472	420	109	22	4	3	44	61	5	1	1	260	339	352	691	93	290	13	9	306	93	—	—	—	—	—	—
2014	25	AA MLE	Erie SeaWolves	—	525	482	132	30	2	6	37	56	1	14	7	274	328	382	710	108	293	11	7	309	95	—	—	—	—	—	—
2015	26	AA MLE	2 teams	—	557	515	120	19	2	6	37	73	0	13	6	233	289	313	602	80	253	13	7	265	65	—	—	—	—	—	—
2016	27	AA MLE	3 teams	—	683	629	159	35	7	10	49	65	0	3	4	253	307	378	686	126	264	10	7	299	89	—	—	—	—	—	—
2017	28	AAA MLE	3 teams	—	501	463	112	25	4	6	33	70	0	6	6	242	292	352	644	110	264	14	7	280	76	—	—	—	—	—	—
2018	29	AAA MLE	Toledo Mud Hens	—	415	381	83	15	2	7	31	80	0	4	0	218	275	323	598	105	254	19	7	266	66	—	—	—	—	—	—
2019	30	AA MLE	2 teams	—	443	404	92	26	1	11	35	51	1	1	0	228	293	379	672	151	234	12	8	289	82	—	—	—	—	—	—
2021	32	AAA MLE	Sacramento River Cats	—	480	449	116	23	1	11	27	81	1	1	0	258	306	388	693	129	285	17	6	302	91	—	—	—	—	—	—
2022	33	AAA MLE	Sacramento River Cats	—	395	369	79	24	2	10	23	74	0	1	1	214	260	371	631	157	238	19	6	273	71	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	5137	4695	1126	242	27	77	357	728	10	50	29	240	295	352	647	112	267	14	7	281	76	-147	-2	+0	-55	+111	-9.4
/ 162G	—	MLE		—	650	594	143	31	3	10	45	92	1	6	4	241	295	354	648	113	268	14	7	281	76	-19	-0	+0	-7	+14	-1.2

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 AAASacramento River Cats · 395 PAwOBA .349 → .273 (−76)K% 15.4% → 18.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.44%	÷0.986	×1.200	—	—	18.79%
BB% (unintentional) /PA	8.86%	÷0.984	×0.690	—	×0.942	5.85%
HBP% /PA	0.00%	—	×0.940	—	×0.942	0.00%
Singles /BIP	16.22%	÷0.968	×0.930	×0.986	×0.942	14.47%
Doubles /BIP	10.14%	÷0.967	×0.830	×0.986	×0.942	8.08%
Triples /BIP	0.68%	÷0.900	×0.970	×0.986	×0.942	0.68%
Home runs /BIP	5.07%	÷0.989	×0.700	—	×0.942	3.38%

Factors used: league row International League. Park (home-season share, regressed): HR 98, 1B 94, 2B 93, 3B 80, K 97, BB 97 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.

Result: wOBA .349 → .273; ISO .221 → .163; BABIP .282 → .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).

2021 AAASacramento River Cats · 480 PAwOBA .372 → .302 (−69)K% 14.6% → 16.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.58%	÷1.034	×1.200	—	—	16.92%
BB% (unintentional) /PA	8.12%	÷0.956	×0.690	—	×0.952	5.58%
HBP% /PA	0.21%	—	×0.940	—	×0.952	0.19%
Singles /BIP	25.76%	÷1.049	×0.930	×1.003	×0.952	21.80%
Doubles /BIP	7.20%	÷0.916	×0.830	×1.003	×0.952	6.23%
Triples /BIP	0.28%	÷0.900	×0.920	×1.003	×0.952	0.27%
Home runs /BIP	4.43%	÷0.995	×0.700	—	×0.952	2.97%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 110, 2B 83, 3B 80, K 107, BB 91 — 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 ×1.003.

Result: wOBA .372 → .302; ISO .176 → .135; BABIP .340 → .285. 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 AABinghamton Rumble Ponies · 367 PAwOBA .335 → .273 (−61)K% 9.8% → 11.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.81%	÷1.083	×1.220	—	—	11.05%
BB% (unintentional) /PA	10.35%	÷0.942	×0.700	—	×0.948	7.29%
HBP% /PA	0.27%	—	×0.850	—	×0.948	0.22%
Singles /BIP	16.72%	÷1.026	×0.970	×0.950	×0.948	14.24%
Doubles /BIP	7.67%	÷0.945	×0.860	×0.950	×0.948	6.28%
Triples /BIP	0.35%	÷0.900	×0.950	×0.950	×0.948	0.33%
Home runs /BIP	4.18%	÷1.012	×0.780	—	×0.948	3.05%

Factors used: league row EL. Park (home-season share, regressed): HR 102, 1B 105, 2B 89, 3B 80, K 117, BB 88 — applied at half strength. Age: age 30 vs a level average of 24.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .335 → .273; ISO .186 → .149; BABIP .256 → .214. 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 AAASyracuse Mets · 76 PAwOBA .448 → .369 (−79)K% 11.8% → 13.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.84%	÷1.020	×1.200	—	—	13.94%
BB% (unintentional) /PA	15.79%	÷0.966	×0.690	—	×0.972	10.97%
HBP% /PA	0.00%	—	×0.940	—	×0.972	0.00%
Singles /BIP	22.22%	÷1.042	×0.930	—	×0.972	19.29%
Doubles /BIP	16.67%	÷1.060	×0.830	—	×0.972	12.68%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.972	0.00%
Home runs /BIP	3.70%	÷0.960	×0.840	—	×0.972	3.15%

Factors used: league row IL. Park (home-season share, regressed): HR 92, 1B 108, 2B 112, 3B 80, K 104, BB 93 — 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).

Result: wOBA .448 → .369; ISO .238 → .201; BABIP .404 → .330. 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 AAAToledo Mud Hens · 415 PAwOBA .313 → .266 (−47)K% 16.1% → 19.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.14%	÷1.011	×1.200	—	—	19.17%
BB% (unintentional) /PA	10.84%	÷0.980	×0.690	—	×0.982	7.49%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	20.93%	÷1.005	×0.930	×1.012	×0.982	19.24%
Doubles /BIP	6.31%	÷1.038	×0.830	×1.012	×0.982	5.01%
Triples /BIP	0.66%	÷1.038	×0.970	×1.012	×0.982	0.62%
Home runs /BIP	2.66%	÷0.893	×0.840	—	×0.982	2.45%

Factors used: league row IL. Park (home-season share, regressed): HR 79, 1B 101, 2B 108, 3B 108, K 102, BB 96 — 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 .313 → .266; ISO .128 → .113; BABIP .286 → .254. 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 AAAToledo Mud Hens · 414 PAwOBA .312 → .263 (−49)K% 12.8% → 15.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.80%	÷1.004	×1.200	—	—	15.30%
BB% (unintentional) /PA	9.42%	÷0.996	×0.690	—	×0.992	6.47%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	21.38%	÷1.054	×0.930	×0.992	×0.992	18.58%
Doubles /BIP	6.92%	÷0.916	×0.830	×0.992	×0.992	6.17%
Triples /BIP	1.26%	÷1.150	×0.970	×0.992	×0.992	1.04%
Home runs /BIP	1.26%	÷1.049	×0.840	—	×0.992	1.00%

Factors used: league row IL. Park (home-season share, regressed): HR 110, 1B 111, 2B 83, 3B 130, K 101, BB 99 — 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 ×0.992.

Result: wOBA .312 → .263; ISO .113 → .098; BABIP .297 → .259. 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 AAErie SeaWolves · 66 PAwOBA .482 → .388 (−94)K% 4.5% → 5.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	4.55%	÷0.973	×1.220	—	—	5.70%
BB% (unintentional) /PA	12.12%	÷1.059	×0.700	—	×0.968	7.76%
HBP% /PA	0.00%	—	×0.850	—	×0.968	0.00%
Singles /BIP	26.42%	÷1.020	×0.970	×0.950	×0.968	23.10%
Doubles /BIP	7.55%	÷0.944	×0.860	×0.950	×0.968	6.32%
Triples /BIP	0.00%	÷1.094	×0.950	×0.950	×0.968	0.00%
Home runs /BIP	7.55%	÷1.259	×0.780	—	×0.968	4.53%

Factors used: league row EL. Park (home-season share, regressed): HR 152, 1B 104, 2B 89, 3B 119, K 95, BB 112 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .482 → .388; ISO .286 → .203; BABIP .353 → .297. 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 AAErie SeaWolves · 406 PAwOBA .362 → .303 (−59)K% 6.7% → 8.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.65%	÷0.998	×1.220	—	—	8.13%
BB% (unintentional) /PA	10.84%	÷1.027	×0.700	—	×0.978	7.22%
HBP% /PA	0.00%	—	×0.850	—	×0.978	0.00%
Singles /BIP	19.76%	÷1.045	×0.970	×0.983	×0.978	17.63%
Doubles /BIP	7.29%	÷0.973	×0.860	×0.983	×0.978	6.20%
Triples /BIP	1.82%	÷1.127	×0.950	×0.983	×0.978	1.48%
Home runs /BIP	2.74%	÷1.095	×0.780	—	×0.978	1.91%

Factors used: league row EL. Park (home-season share, regressed): HR 119, 1B 109, 2B 95, 3B 125, K 100, BB 105 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.983.

Result: wOBA .362 → .303; ISO .177 → .144; BABIP .292 → .254. 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 — .