Jedd Gyorko

Pos2B

B/TR/R

Born1988-09-23

Age (2027)38

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2020

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2018	29	MLBSTL	402	.262/.349/.416	11	2	119	2.0
2019	30	AAAOklahoma City…	26	.273/.385/.455	1	0	75	—	.217/.308/.391
2019	30	MLBLAD	101	.174/.248/.250	2	2	45	0.0
2020	31	MLBMIL	135	.248/.338/.504	9	0	126	0.5
2021	32	No MLB games played
2022	33	No MLB games played
2023	34	No MLB games played
2024	35	No MLB games played
2025	36	No MLB games played
2026	37	No MLB games played

Last 3 seasons WAR 2.5

Contract

No contract data on file.

Skills · percentileStatcast 2018-2020

xwOBA59

Barrel%55

Avg EV27

Speed10

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	21	A	Fort Wayne TinCaps	—	183	162	46	11	0	2	19	31	2	1	0	284	366	389	755	105	341	17	10	344	68	—	—	—	—	—	—
2011	22	AA	San Antonio Missions	—	265	236	68	12	0	7	26	50	1	1	0	288	361	428	789	140	337	19	10	352	74	—	—	—	—	—	—
2011	22	A+	Lake Elsinore Storm	—	382	340	124	35	2	18	38	64	2	11	3	365	432	638	1.070	274	408	17	10	461	139	—	—	—	—	—	—
2011	22	INTL	Peoria Javelinas	—	82	71	31	4	0	5	10	15	0	1	0	437	506	704	1.210	268	500	18	12	517	236	—	—	—	—	—	—
2012	23	AAA	Tucson Padres	—	408	369	121	24	0	24	34	68	0	4	3	328	385	588	973	260	344	17	8	418	114	—	—	—	—	—	—
2012	23	AA	San Antonio Missions	—	149	130	34	4	0	6	17	27	2	1	1	262	356	431	786	169	289	18	11	353	82	—	—	—	—	—	—
2013	24	MLB	San Diego Padres	—	525	486	121	26	0	23	33	123	4	1	1	249	302	444	747	195	287	23	6	328	110	+6	-0	+0	+2	+11	1.9
2014	25	MLB	San Diego Padres	—	443	400	84	17	1	10	36	100	4	3	2	210	282	333	614	123	253	23	8	278	75	-13	-0	-2	+2	+10	-0.4
2014	25	AAA	El Paso Chihuahuas	—	28	24	7	2	0	1	4	4	0	0	0	292	393	500	893	208	316	14	14	395	98	—	—	—	—	—	—
2015	26	MLB	San Diego Padres	—	458	421	104	15	0	16	27	107	5	0	1	247	300	397	697	150	290	23	6	308	95	-3	-0	+1	+2	+10	1.0
2015	26	AAA	El Paso Chihuahuas	—	69	61	17	1	0	4	7	11	1	0	1	279	362	492	854	213	283	16	10	378	97	—	—	—	—	—	—
2016	27	MLB	St. Louis Cardinals	—	438	400	97	9	1	30	37	96	0	0	0	242	307	495	802	253	244	22	8	349	129	+15	+0	+6	+2	+9	3.3
2017	28	MLB	St. Louis Cardinals	—	481	426	116	21	2	20	47	105	1	6	2	272	346	472	818	200	312	22	10	356	130	+17	+0	+12	+2	+10	4.2
2018	29	MLB	St. Louis Cardinals	—	402	351	92	19	1	11	44	77	3	2	0	262	349	416	765	154	303	19	11	341	119	+9	+0	-1	+1	+9	2.0
2019	30	MLB	Los Angeles Dodgers	—	101	92	16	1	0	2	9	24	0	2	0	174	248	250	498	76	212	24	9	233	45	-7	+0	+4	+0	+2	0.0
2019	30	AAA	Oklahoma City Dodgers	—	26	22	6	1	0	1	3	5	1	0	0	273	385	455	839	182	312	19	12	377	75	—	—	—	—	—	—
2020	31	MLB	Milwaukee Brewers	—	135	117	29	3	0	9	15	38	1	0	0	248	338	504	843	256	278	28	11	364	126	+4	+0	+1	-2	+3	0.5
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2983	2693	659	111	5	121	248	670	18	14	6	245	313	424	737	180	279	22	8	325	106	+22	+0	+21	+8	+65	11.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	21	A MLE	Fort Wayne TinCaps	—	183	168	39	8	0	2	13	44	2	1	0	232	295	315	611	83	303	24	7	269	68	—	—	—	—	—	—
2011	22	AA MLE	San Antonio Missions	—	265	246	56	9	0	6	16	64	1	1	0	228	278	337	615	110	282	24	6	277	74	—	—	—	—	—	—
2011	22	A+ MLE	Lake Elsinore Storm	—	382	355	105	28	1	18	23	93	2	11	3	296	342	532	874	237	349	24	6	374	139	—	—	—	—	—	—
2012	23	AAA MLE	Tucson Padres	—	408	379	103	19	0	18	24	90	0	4	3	272	315	464	780	193	303	22	6	336	114	—	—	—	—	—	—
2012	23	AA MLE	San Antonio Missions	—	149	137	31	4	0	5	10	33	2	1	1	226	289	365	654	139	258	22	7	290	82	—	—	—	—	—	—
2013	24	MLB MLE	San Diego Padres	—	525	487	123	28	0	22	32	123	4	1	1	253	304	446	750	193	287	23	6	330	110	+6	-0	+0	+2	+11	1.9
2014	25	MLB MLE	San Diego Padres	—	443	401	85	18	1	10	35	100	4	3	2	212	282	337	618	125	253	23	8	279	75	-13	-0	-2	+2	+10	-0.4
2014	25	AAA MLE	El Paso Chihuahuas	—	28	25	7	2	0	1	3	5	0	0	0	280	357	480	837	200	268	18	11	313	98	—	—	—	—	—	—
2015	26	MLB MLE	San Diego Padres	—	458	422	106	16	0	16	26	107	5	0	1	251	302	403	705	152	290	23	6	309	95	-3	-0	+1	+2	+10	1.0
2015	26	AAA MLE	El Paso Chihuahuas	—	69	63	15	1	0	3	5	14	1	0	1	238	304	397	701	159	259	20	7	311	97	—	—	—	—	—	—
2016	27	MLB MLE	St. Louis Cardinals	—	438	401	99	9	1	32	36	96	0	0	0	247	309	514	823	267	244	22	8	359	129	+15	+0	+6	+2	+9	3.3
2017	28	MLB MLE	St. Louis Cardinals	—	481	427	117	20	2	22	46	105	1	6	2	274	346	485	831	211	312	22	10	361	130	+17	+0	+12	+2	+10	4.2
2018	29	MLB MLE	St. Louis Cardinals	—	402	351	92	18	1	12	44	77	3	2	0	262	349	422	771	160	303	19	11	344	119	+9	+0	-1	+1	+9	2.0
2019	30	MLB MLE	Los Angeles Dodgers	—	101	92	16	1	0	2	9	24	0	2	0	174	248	250	498	76	212	24	9	235	45	-7	+0	+4	+0	+2	0.0
2019	30	AAA MLE	Oklahoma City Dodgers	—	26	23	5	1	0	1	2	6	1	0	0	217	308	391	699	174	250	23	8	279	75	—	—	—	—	—	—
2020	31	MLB MLE	Milwaukee Brewers	—	135	118	29	3	0	9	14	38	1	0	0	246	331	500	831	254	278	28	10	355	126	+4	+0	+1	-2	+3	0.5
2010	21	A MLE	Fort Wayne TinCaps	—	183	168	39	8	0	2	13	44	2	1	0	232	295	315	611	83	303	24	7	269	68	—	—	—	—	—	—
2010	21	A RAW	Fort Wayne TinCaps	—	183	162	46	11	0	2	19	31	2	1	0	284	366	389	755	105	341	17	10	344	68	—	—	—	—	—	—
2011	22	A+ MLE	3 teams	—	729	677	183	42	2	28	44	177	3	13	3	270	318	462	780	192	325	24	6	334	112	—	—	—	—	—	—
2011	22	A+ RAW	3 teams	—	729	647	223	51	2	30	74	129	3	13	3	345	414	569	983	224	391	18	10	428	112	—	—	—	—	—	—
2012	23	AAA MLE	2 teams	—	557	516	135	23	0	24	34	123	2	5	4	262	310	446	756	184	297	22	6	324	105	—	—	—	—	—	—
2012	23	AAA RAW	2 teams	—	557	499	155	28	0	30	51	95	2	5	4	311	377	547	924	236	330	17	9	401	105	—	—	—	—	—	—
2013	24	MLB MLE	San Diego Padres	—	525	487	123	28	0	22	32	123	4	1	1	253	304	446	750	193	294	23	6	330	110	+6	-0	+0	+2	+11	1.9
2013	24	MLB RAW	San Diego Padres	—	525	486	121	26	0	23	33	123	4	1	1	249	302	444	747	195	287	23	6	328	110	+6	-0	+0	+2	+11	1.9
2014	25	MLB MLE	2 teams	—	471	426	92	20	1	11	38	105	4	3	2	216	286	345	631	129	259	22	8	281	77	-13	-0	-2	+2	+10	-0.3
2014	25	MLB RAW	2 teams	—	471	424	91	19	1	11	40	104	4	3	2	215	288	342	630	127	256	22	8	285	77	-13	-0	-2	+2	+10	-0.3
2015	26	MLB MLE	2 teams	—	527	485	120	17	0	19	31	121	6	0	2	247	301	400	701	153	289	23	6	309	95	-3	-1	+1	+2	+11	1.1
2015	26	MLB RAW	2 teams	—	527	482	121	16	0	20	34	118	6	0	2	251	308	409	717	158	289	22	6	317	95	-3	-1	+1	+2	+11	1.1
2016	27	MLB MLE	St. Louis Cardinals	—	438	401	99	9	1	32	36	96	0	0	0	247	309	514	823	267	245	22	8	359	129	+15	+0	+6	+2	+9	3.3
2016	27	MLB RAW	St. Louis Cardinals	—	438	400	97	9	1	30	37	96	0	0	0	242	307	495	802	253	244	22	8	349	129	+15	+0	+6	+2	+9	3.3
2017	28	MLB MLE	St. Louis Cardinals	—	481	427	117	20	2	22	46	105	1	6	2	274	346	485	831	211	309	22	10	361	130	+17	+0	+12	+2	+10	4.2
2017	28	MLB RAW	St. Louis Cardinals	—	481	426	116	21	2	20	47	105	1	6	2	272	346	472	818	200	312	22	10	356	130	+17	+0	+12	+2	+10	4.2
2018	29	MLB MLE	St. Louis Cardinals	—	402	351	92	18	1	12	44	77	3	2	0	262	349	422	771	160	301	19	11	344	119	+9	+0	-1	+1	+9	2.0
2018	29	MLB RAW	St. Louis Cardinals	—	402	351	92	19	1	11	44	77	3	2	0	262	349	416	765	154	303	19	11	341	119	+9	+0	-1	+1	+9	2.0
2019	30	MLB MLE	2 teams	—	127	115	21	2	0	3	11	30	1	2	0	183	260	278	538	96	220	24	9	244	52	-7	+0	+4	+0	+3	0.0
2019	30	MLB RAW	2 teams	—	127	114	22	2	0	3	12	29	1	2	0	193	276	289	565	96	232	23	9	262	52	-7	+0	+4	+0	+3	0.0
2020	31	MLB MLE	Milwaukee Brewers	—	135	118	29	3	0	9	14	38	1	0	0	246	331	500	831	254	274	28	10	355	126	+4	+0	+1	-2	+3	0.5
2020	31	MLB RAW	Milwaukee Brewers	—	135	117	29	3	0	9	15	38	1	0	0	248	338	504	843	256	278	28	11	364	126	+4	+0	+1	-2	+3	0.5
2010	21	A MLE	Fort Wayne TinCaps	—	183	166	39	8	0	2	13	44	2	1	0	235	295	319	614	84	303	24	7	269	68	—	—	—	—	—	—
2011	22	A+ MLE	3 teams	—	729	676	183	42	2	28	44	177	3	13	3	271	318	463	781	192	322	24	6	334	112	—	—	—	—	—	—
2012	23	AAA MLE	2 teams	—	557	516	135	23	0	24	34	123	2	5	4	262	310	446	756	184	291	22	6	324	105	—	—	—	—	—	—
2013	24	MLB MLE	San Diego Padres	—	525	484	123	28	0	22	32	123	4	1	1	254	304	448	752	194	287	23	6	330	110	—	—	—	—	—	—
2014	25	MLB MLE	2 teams	—	471	426	92	20	1	11	38	105	4	3	2	216	286	345	631	129	253	22	8	281	77	—	—	—	—	—	—
2015	26	MLB MLE	2 teams	—	527	485	120	17	0	19	31	121	6	0	2	247	301	400	701	153	286	23	6	309	95	—	—	—	—	—	—
2016	27	MLB MLE	St. Louis Cardinals	—	438	399	99	9	1	32	36	96	0	0	0	248	309	516	825	268	244	22	8	359	129	—	—	—	—	—	—
2017	28	MLB MLE	St. Louis Cardinals	—	481	431	117	20	2	22	46	105	1	6	2	271	346	480	826	209	312	22	10	361	130	—	—	—	—	—	—
2018	29	MLB MLE	St. Louis Cardinals	—	402	352	92	18	1	12	44	77	3	2	0	261	349	420	770	159	303	19	11	344	119	—	—	—	—	—	—
2019	30	MLB MLE	2 teams	—	127	114	21	2	0	3	11	30	1	2	0	184	260	281	541	96	220	24	9	244	52	—	—	—	—	—	—
2020	31	MLB MLE	Milwaukee Brewers	—	135	119	29	3	0	9	14	38	1	0	0	244	331	496	827	252	278	28	10	355	126	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2983	2693	659	111	5	121	248	670	18	14	6	245	313	424	737	180	279	22	8	325	107	+22	+0	+21	+8	+65	11.9
/ 162G	—	A+C		—	650	587	143	24	1	26	54	146	4	3	1	244	312	421	732	177	279	22	8	325	107	+5	+0	+5	+2	+14	2.6
Career	—	MLE		—	4575	4171	1050	190	7	184	343	1039	27	33	14	252	313	433	746	181	290	23	7	326	107	+22	+0	+21	+8	+65	11.9
/ 162G	—	MLE		—	650	593	149	27	1	26	49	148	4	5	2	251	313	432	745	180	290	23	8	326	107	+5	+0	+5	+2	+14	2.6

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.

2019 AAAOklahoma City Dodgers · 26 PAwOBA .368 → .279 (−88)K% 19.2% → 24.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.23%	÷1.014	×1.290	—	—	24.46%
BB% (unintentional) /PA	11.54%	÷0.993	×0.710	—	×0.962	7.94%
HBP% /PA	3.85%	—	×0.980	—	×0.962	3.63%
Singles /BIP	23.53%	÷1.048	×0.900	—	×0.962	19.45%
Doubles /BIP	5.88%	÷1.012	×0.810	—	×0.962	4.53%
Triples /BIP	0.00%	÷1.045	×0.810	—	×0.962	0.00%
Home runs /BIP	5.88%	÷1.073	×0.780	—	×0.962	4.11%

Factors used: league row PCL. Park (home-season share, regressed): HR 115, 1B 110, 2B 102, 3B 109, K 103, BB 99 — 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).

Result: wOBA .368 → .279; ISO .182 → .128; BABIP .312 → .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).

2015 AAAEl Paso Chihuahuas · 69 PAwOBA .368 → .311 (−57)K% 15.9% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.94%	÷0.980	×1.290	—	—	20.99%
BB% (unintentional) /PA	10.14%	÷0.972	×0.710	—	×1.003	7.44%
HBP% /PA	1.45%	—	×0.980	—	×1.003	1.42%
Singles /BIP	24.00%	÷1.017	×0.900	×1.050	×1.003	22.36%
Doubles /BIP	2.00%	÷0.970	×0.810	×1.050	×1.003	1.76%
Triples /BIP	0.00%	÷1.150	×0.810	×1.050	×1.003	0.00%
Home runs /BIP	8.00%	÷0.919	×0.780	—	×1.003	6.81%

Factors used: league row PCL. Park (home-season share, regressed): HR 84, 1B 103, 2B 94, 3B 130, K 96, BB 94 — 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 ×1.050.

Result: wOBA .368 → .311; ISO .213 → .176; BABIP .283 → .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).

2014 AAAEl Paso Chihuahuas · 28 PAwOBA .385 → .313 (−72)K% 14.3% → 18.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷1.002	×1.290	—	—	18.40%
BB% (unintentional) /PA	14.29%	÷0.970	×0.710	—	×1.018	10.64%
HBP% /PA	0.00%	—	×0.980	—	×1.018	0.00%
Singles /BIP	20.00%	÷1.018	×0.900	—	×1.018	18.00%
Doubles /BIP	10.00%	÷1.068	×0.810	—	×1.018	7.72%
Triples /BIP	0.00%	÷1.150	×0.810	—	×1.018	0.00%
Home runs /BIP	5.00%	÷0.958	×0.780	—	×1.018	4.14%

Factors used: league row PCL. Park (home-season share, regressed): HR 92, 1B 104, 2B 114, 3B 130, K 100, BB 94 — 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).

Result: wOBA .385 → .313; ISO .208 → .167; BABIP .316 → .268. 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 AAATucson Padres · 408 PAwOBA .411 → .336 (−75)K% 16.7% → 22.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷0.979	×1.290	—	—	21.96%
BB% (unintentional) /PA	8.33%	÷1.052	×0.710	—	×1.048	5.90%
HBP% /PA	0.00%	—	×0.980	—	×1.048	0.00%
Singles /BIP	24.25%	÷1.007	×0.900	×0.986	×1.048	22.39%
Doubles /BIP	7.97%	÷1.013	×0.810	×0.986	×1.048	6.59%
Triples /BIP	0.00%	÷1.150	×0.810	×0.986	×1.048	0.00%
Home runs /BIP	7.97%	÷1.050	×0.780	—	×1.048	6.21%

Factors used: league row PCL. Park (home-season share, regressed): HR 110, 1B 101, 2B 103, 3B 130, K 96, BB 110 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.

Result: wOBA .411 → .336; ISO .260 → .201; BABIP .344 → .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).

2012 AASan Antonio Missions · 149 PAwOBA .340 → .290 (−49)K% 18.1% → 22.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.12%	÷1.006	×1.220	—	—	21.97%
BB% (unintentional) /PA	10.07%	÷1.067	×0.700	—	×1.012	6.68%
HBP% /PA	1.34%	—	×0.870	—	×1.012	1.18%
Singles /BIP	23.30%	÷1.018	×0.920	×0.986	×1.012	21.01%
Doubles /BIP	3.88%	÷0.946	×0.840	×0.986	×1.012	3.44%
Triples /BIP	0.00%	÷0.968	×0.940	×0.986	×1.012	0.00%
Home runs /BIP	5.83%	÷0.919	×0.800	—	×1.012	5.13%

Factors used: league row TL. Park (home-season share, regressed): HR 84, 1B 104, 2B 89, 3B 94, K 101, BB 113 — 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 ×0.986.

Result: wOBA .340 → .290; ISO .169 → .151; BABIP .289 → .258. 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 A+Lake Elsinore Storm · 382 PAwOBA .448 → .374 (−74)K% 16.8% → 24.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.75%	÷0.923	×1.340	—	—	24.32%
BB% (unintentional) /PA	8.90%	÷1.052	×0.710	—	×0.998	5.99%
HBP% /PA	0.52%	—	×0.790	—	×0.998	0.41%
Singles /BIP	25.00%	÷1.026	×0.910	×0.984	×0.998	21.78%
Doubles /BIP	12.68%	÷0.976	×0.820	×0.984	×0.998	10.46%
Triples /BIP	0.72%	÷1.016	×0.760	×0.984	×0.998	0.53%
Home runs /BIP	6.52%	÷0.874	×0.920	—	×0.998	6.85%

Factors used: league row CAL. Park (home-season share, regressed): HR 75, 1B 105, 2B 95, 3B 103, K 85, BB 110 — 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 ×0.984.

Result: wOBA .448 → .374; ISO .274 → .250; BABIP .408 → .349. 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 AASan Antonio Missions · 265 PAwOBA .344 → .277 (−67)K% 18.9% → 24.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.87%	÷0.950	×1.220	—	—	24.23%
BB% (unintentional) /PA	9.43%	÷1.128	×0.700	—	×1.027	6.01%
HBP% /PA	0.38%	—	×0.870	—	×1.027	0.34%
Singles /BIP	26.34%	÷1.069	×0.920	×0.961	×1.027	22.39%
Doubles /BIP	6.45%	÷1.037	×0.840	×0.961	×1.027	5.16%
Triples /BIP	0.00%	÷0.900	×0.940	×0.961	×1.027	0.00%
Home runs /BIP	3.76%	÷0.889	×0.800	—	×1.027	3.48%

Factors used: league row TL. Park (home-season share, regressed): HR 78, 1B 114, 2B 107, 3B 80, K 90, BB 126 — 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 ×0.961.

Result: wOBA .344 → .277; ISO .140 → .122; BABIP .337 → .282. 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 AFort Wayne TinCaps · 183 PAwOBA .335 → .269 (−66)K% 16.9% → 24.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.94%	÷0.956	×1.360	—	—	24.11%
BB% (unintentional) /PA	10.38%	÷1.020	×0.690	—	—	7.02%
HBP% /PA	1.09%	—	×0.780	—	—	0.85%
Singles /BIP	25.19%	÷1.022	×0.920	×1.021	—	23.14%
Doubles /BIP	8.40%	÷1.062	×0.830	×1.021	—	6.70%
Triples /BIP	0.00%	÷0.995	×0.910	×1.021	—	0.00%
Home runs /BIP	1.53%	÷0.881	×0.800	—	—	1.39%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 76, 1B 104, 2B 112, 3B 99, K 91, BB 104 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .335 → .269; ISO .105 → .083; BABIP .341 → .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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .