Shane Peterson

PosLF

B/TL/L

Born1988-02-11

Age (2027)39

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	29	AAATB	300	.286/.316/.504	12	10	80	—	.239/.265/.408
2017	29	MLBTB	88	.253/.310/.392	2	2	96	-0.2
2018	30	AAASD	467	.286/.343/.451	11	1	55	—	.210/.252/.314
2019	31	AAAOklahoma City…	309	.245/.312/.439	10	4	43	—	.174/.227/.302
2020	32	No MLB games played
2021	33	No MLB games played
2022	34	No MLB games played
2023	35	No MLB games played
2024	36	No MLB games played
2025	37	No MLB games played
2026	38	No MLB games played

Last 3 seasons WAR -0.2

Contract

No contract data on file.

Skills · percentileStatcast 2015-2017

Speed60

xwOBA42

Avg EV40

Barrel%20

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	21	AA	Midland RockHounds	—	252	228	63	14	1	4	18	42	3	6	0	276	337	399	736	123	321	17	7	327	86	—	—	—	—	—	—
2009	21	A+	Palm Beach Cardinals	—	319	285	85	11	4	6	21	52	11	10	1	298	369	428	797	130	345	16	7	357	97	—	—	—	—	—	—
2010	22	AA	Midland RockHounds	—	536	460	122	24	4	5	57	108	11	11	2	265	360	367	727	102	330	20	11	329	77	—	—	—	—	—	—
2011	23	AAA	Sacramento River Cats	—	191	167	49	7	3	6	23	37	0	2	1	293	379	479	858	186	344	19	12	378	109	—	—	—	—	—	—
2011	23	AA	Midland RockHounds	—	263	227	59	16	1	3	30	38	5	11	1	260	359	379	738	119	299	14	11	336	69	—	—	—	—	—	—
2012	24	AAA	Sacramento River Cats	—	157	131	51	7	1	7	23	31	1	4	3	389	484	618	1.102	229	473	20	15	475	173	—	—	—	—	—	—
2012	24	AA	Midland RockHounds	—	205	157	43	11	3	2	44	47	3	9	3	274	441	420	862	146	380	23	21	393	102	—	—	—	—	—	—
2013	25	AAA	Sacramento River Cats	—	553	463	116	25	1	12	77	127	4	17	2	251	362	387	749	136	315	23	14	336	76	—	—	—	—	—	—
2014	26	AAA	Sacramento River Cats	—	625	543	167	40	5	11	66	139	2	11	2	308	385	460	845	153	391	22	11	368	102	—	—	—	—	—	—
2014	26	INTL	Aguilas de Mexicali	—	76	69	17	2	3	0	5	21	0	0	0	246	297	362	660	116	347	28	7	286	80	—	—	—	—	—	—
2015	27	MLB	Milwaukee Brewers	—	226	201	52	7	3	2	20	55	0	0	1	259	324	353	678	95	345	24	9	302	90	-3	-0	-1	-4	+5	-0.4
2015	27	AAA	Colorado Springs Sky Sox	—	194	172	55	10	2	7	17	41	2	0	1	320	383	523	907	203	387	21	9	395	93	—	—	—	—	—	—
2016	28	AAA	Colorado Springs Sky Sox	—	57	49	17	6	1	3	6	16	1	4	0	347	429	694	1.122	347	467	28	11	470	105	—	—	—	—	—	—
2017	29	MLB	Tampa Bay Rays	—	88	79	20	5	0	2	5	21	2	2	0	253	310	392	703	139	316	24	6	310	96	-0	+0	+1	-4	+2	-0.2
2017	29	AAA	Durham Bulls	—	300	280	80	19	3	12	11	63	2	10	0	286	316	504	820	218	325	21	4	350	80	—	—	—	—	—	—
2018	30	AAA	El Paso Chihuahuas	—	467	426	122	31	3	11	35	113	2	1	0	286	343	451	793	164	366	24	7	349	55	—	—	—	—	—	—
2019	31	AAA	Oklahoma City Dodgers	—	309	278	68	14	5	10	25	87	3	4	0	245	312	439	751	194	319	28	8	329	43	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	314	280	72	12	3	4	25	76	2	2	1	257	320	364	685	107	337	24	8	304	92	-3	+0	-0	-9	+7	-0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	21	AA MLE	Midland RockHounds	—	252	233	61	13	1	3	13	51	3	6	0	262	309	365	674	103	315	20	5	296	86	—	—	—	—	—	—
2009	21	A+ MLE	Palm Beach Cardinals	—	319	293	78	11	3	5	13	74	11	10	1	266	322	375	697	109	336	23	4	312	97	—	—	—	—	—	—
2010	22	AA MLE	Midland RockHounds	—	536	477	112	19	3	5	40	139	11	11	2	235	309	319	627	84	307	26	7	282	77	—	—	—	—	—	—
2011	23	AAA MLE	Sacramento River Cats	—	191	173	46	7	2	5	17	47	0	2	1	266	332	416	748	150	336	25	9	330	109	—	—	—	—	—	—
2011	23	AA MLE	Midland RockHounds	—	263	237	52	13	1	3	20	49	5	11	1	219	294	321	615	101	261	19	8	270	69	—	—	—	—	—	—
2012	24	AAA MLE	Sacramento River Cats	—	157	139	51	6	1	6	15	39	1	4	3	367	432	554	986	187	468	25	10	424	173	—	—	—	—	—	—
2012	24	AA MLE	Midland RockHounds	—	205	171	40	10	3	2	30	60	3	9	3	234	358	363	720	129	340	29	15	319	102	—	—	—	—	—	—
2013	25	AAA MLE	Sacramento River Cats	—	553	485	106	20	1	10	55	161	4	17	2	219	303	326	629	107	292	29	10	280	76	—	—	—	—	—	—
2014	26	AAA MLE	Sacramento River Cats	—	625	562	156	37	4	8	47	180	2	11	2	278	336	400	736	123	375	29	8	319	102	—	—	—	—	—	—
2015	27	MLB MLE	Milwaukee Brewers	—	226	203	52	7	3	2	19	55	0	0	1	256	320	350	670	94	345	24	8	302	90	-3	-0	-1	-4	+5	-0.4
2015	27	AAA MLE	Colorado Springs Sky Sox	—	194	179	45	7	1	6	12	54	2	0	1	251	306	402	708	151	324	28	6	305	93	—	—	—	—	—	—
2016	28	AAA MLE	Colorado Springs Sky Sox	—	57	51	13	4	1	2	4	21	1	4	0	255	321	490	812	235	350	37	7	324	105	—	—	—	—	—	—
2017	29	MLB MLE	Tampa Bay Rays	—	88	80	20	5	0	2	5	21	2	2	0	250	310	388	698	138	316	24	6	311	96	-0	+0	+1	-4	+2	-0.2
2017	29	AAA MLE	Durham Bulls	—	300	284	68	15	3	9	8	74	2	10	0	239	265	408	674	169	280	25	3	287	80	—	—	—	—	—	—
2018	30	AAA MLE	El Paso Chihuahuas	—	467	439	92	21	2	7	23	149	2	1	0	210	252	314	567	105	295	32	5	250	55	—	—	—	—	—	—
2019	31	AAA MLE	Oklahoma City Dodgers	—	309	288	50	10	3	7	17	111	3	4	0	174	227	302	529	128	253	36	6	232	43	—	—	—	—	—	—
2009	21	A+ MLE	2 teams	—	571	526	138	23	4	8	26	125	14	16	1	262	314	367	681	105	327	22	5	305	93	—	—	—	—	—	—
2009	21	A+ RAW	2 teams	—	571	513	148	25	5	10	39	94	14	16	1	288	355	415	770	127	334	16	7	344	93	—	—	—	—	—	—
2010	22	AA MLE	Midland RockHounds	—	536	477	112	19	3	5	40	139	11	11	2	235	309	319	627	84	314	26	7	282	77	—	—	—	—	—	—
2010	22	AA RAW	Midland RockHounds	—	536	460	122	24	4	5	57	108	11	11	2	265	360	367	727	102	330	20	11	329	77	—	—	—	—	—	—
2011	23	AA MLE	2 teams	—	454	410	98	20	3	8	37	96	5	13	2	239	310	361	671	122	292	21	8	295	86	—	—	—	—	—	—
2011	23	AA RAW	2 teams	—	454	394	108	23	4	9	53	75	5	13	2	274	367	421	789	147	317	17	12	354	86	—	—	—	—	—	—
2012	24	AA MLE	2 teams	—	362	310	90	16	3	8	45	98	4	13	6	290	387	439	826	148	402	27	12	365	133	—	—	—	—	—	—
2012	24	AA RAW	2 teams	—	362	288	94	18	4	9	67	78	4	13	6	326	460	510	970	184	423	22	19	428	133	—	—	—	—	—	—
2013	25	AAA MLE	Sacramento River Cats	—	553	485	106	20	1	10	55	161	4	17	2	219	303	326	629	107	300	29	10	280	76	—	—	—	—	—	—
2013	25	AAA RAW	Sacramento River Cats	—	553	463	116	25	1	12	77	127	4	17	2	251	362	387	749	136	315	23	14	336	76	—	—	—	—	—	—
2014	26	AAA MLE	2 teams	—	701	630	175	41	4	9	53	202	2	11	2	278	336	398	734	121	390	29	8	319	102	—	—	—	—	—	—
2014	26	AAA RAW	2 teams	—	701	612	184	42	8	11	71	160	2	11	2	301	375	449	825	149	386	23	10	360	102	—	—	—	—	—	—
2015	27	MLB MLE	2 teams	—	420	382	97	14	4	8	31	109	2	0	2	254	313	374	688	120	335	26	7	303	91	-4	-1	-1	-4	+9	-0.1
2015	27	MLB RAW	2 teams	—	420	373	107	17	5	9	37	96	2	0	2	287	352	432	783	145	364	23	9	345	91	-4	-1	-1	-4	+9	-0.1
2016	28	AAA MLE	Colorado Springs Sky Sox	—	57	51	13	4	1	2	4	21	1	4	0	255	321	490	812	235	393	37	7	324	105	—	—	—	—	—	—
2016	28	AAA RAW	Colorado Springs Sky Sox	—	57	49	17	6	1	3	6	16	1	4	0	347	429	694	1.122	347	467	28	11	470	105	—	—	—	—	—	—
2017	29	AAA MLE	2 teams	—	388	365	88	20	3	11	12	94	4	12	0	241	273	403	676	162	291	24	3	292	84	—	—	—	—	—	—
2017	29	AAA RAW	2 teams	—	388	359	100	24	3	14	16	84	4	12	0	279	315	479	794	201	323	22	4	341	84	—	—	—	—	—	—
2018	30	AAA MLE	El Paso Chihuahuas	—	467	439	92	21	2	7	23	149	2	1	0	210	252	314	567	105	299	32	5	250	55	—	—	—	—	—	—
2018	30	AAA RAW	El Paso Chihuahuas	—	467	426	122	31	3	11	35	113	2	1	0	286	343	451	793	164	366	24	7	349	55	—	—	—	—	—	—
2019	31	AAA MLE	Oklahoma City Dodgers	—	309	288	50	10	3	7	17	111	3	4	0	174	227	302	529	128	251	36	6	232	43	—	—	—	—	—	—
2019	31	AAA RAW	Oklahoma City Dodgers	—	309	278	68	14	5	10	25	87	3	4	0	245	312	439	751	194	319	28	8	329	43	—	—	—	—	—	—
2009	21	A+ MLE	2 teams	—	571	526	138	23	4	8	26	125	14	16	1	262	314	367	681	105	327	22	5	305	93	—	—	—	—	—	—
2010	22	AA MLE	Midland RockHounds	—	536	480	112	19	3	5	40	139	11	11	2	233	309	317	625	83	307	26	7	282	77	—	—	—	—	—	—
2011	23	AA MLE	2 teams	—	454	409	98	20	3	8	37	96	5	13	2	240	310	362	672	122	293	21	8	295	86	—	—	—	—	—	—
2012	24	AA MLE	2 teams	—	362	310	90	16	3	8	45	98	4	13	6	290	387	439	826	148	396	27	12	365	133	—	—	—	—	—	—
2013	25	AAA MLE	Sacramento River Cats	—	553	489	106	20	1	10	55	161	4	17	2	217	303	323	626	106	292	29	10	280	76	—	—	—	—	—	—
2014	26	AAA MLE	2 teams	—	701	640	175	41	4	9	53	202	2	11	2	273	336	392	728	119	375	29	8	319	102	—	—	—	—	—	—
2015	27	MLB MLE	2 teams	—	420	384	97	14	4	8	31	109	2	0	2	253	313	372	686	120	335	26	7	303	91	—	—	—	—	—	—
2016	28	AAA MLE	Colorado Springs Sky Sox	—	57	52	13	4	1	2	4	21	1	4	0	250	321	481	802	231	350	37	7	324	105	—	—	—	—	—	—
2017	29	AAA MLE	2 teams	—	388	369	88	20	3	11	12	94	4	12	0	238	273	398	671	160	288	24	3	292	84	—	—	—	—	—	—
2018	30	AAA MLE	El Paso Chihuahuas	—	467	439	92	21	2	7	23	149	2	1	0	210	252	314	567	105	295	32	5	250	55	—	—	—	—	—	—
2019	31	AAA MLE	Oklahoma City Dodgers	—	309	286	50	10	3	7	17	111	3	4	0	175	227	304	531	129	253	36	6	232	43	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	314	280	72	12	3	4	25	76	2	2	1	257	320	364	685	107	337	24	8	304	85	-3	+0	-0	-9	+7	-0.5
/ 162G	—	A+C		—	650	580	149	25	6	8	52	157	4	4	2	257	320	362	682	105	337	24	8	304	85	-6	+0	-0	-18	+14	-1.1
Career	—	MLE		—	4818	4363	1059	208	31	83	343	1305	52	102	17	243	306	362	667	119	324	27	7	294	85	-3	+0	-0	-9	+7	-0.5
/ 162G	—	MLE		—	650	589	142	28	4	11	46	176	7	14	2	241	304	358	662	117	322	27	7	294	85	-6	+0	-0	-18	+14	-1.1

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.

2019 AAAOklahoma City Dodgers · 309 PAwOBA .322 → .232 (−89)K% 28.2% → 35.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.16%	÷1.014	×1.290	—	—	35.82%
BB% (unintentional) /PA	8.09%	÷0.993	×0.710	—	×0.962	5.56%
HBP% /PA	0.97%	—	×0.980	—	×0.962	0.92%
Singles /BIP	20.42%	÷1.048	×0.900	×1.002	×0.962	16.90%
Doubles /BIP	7.33%	÷1.012	×0.810	×1.002	×0.962	5.65%
Triples /BIP	2.62%	÷1.045	×0.810	×1.002	×0.962	1.96%
Home runs /BIP	5.24%	÷1.073	×0.780	—	×0.962	3.66%

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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.002.

Result: wOBA .322 → .232; ISO .194 → .132; BABIP .319 → .253. 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 AAAEl Paso Chihuahuas · 467 PAwOBA .339 → .250 (−89)K% 24.2% → 31.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.20%	÷0.983	×1.290	—	—	31.76%
BB% (unintentional) /PA	7.07%	÷0.986	×0.710	—	×0.972	4.95%
HBP% /PA	0.43%	—	×0.980	—	×0.972	0.41%
Singles /BIP	24.60%	÷1.032	×0.900	×1.008	×0.972	21.03%
Doubles /BIP	9.90%	÷1.098	×0.810	×1.008	×0.972	7.16%
Triples /BIP	0.96%	÷1.150	×0.810	×1.008	×0.972	0.66%
Home runs /BIP	3.51%	÷1.045	×0.780	—	×0.972	2.55%

Factors used: league row PCL. Park (home-season share, regressed): HR 109, 1B 106, 2B 120, 3B 130, K 97, BB 97 — 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 ×1.008.

Result: wOBA .339 → .250; ISO .164 → .111; BABIP .366 → .295. 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 AAADurham Bulls · 300 PAwOBA .344 → .287 (−57)K% 21.0% → 24.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.00%	÷1.027	×1.200	—	—	24.54%
BB% (unintentional) /PA	3.67%	÷0.993	×0.690	—	×0.982	2.50%
HBP% /PA	0.67%	—	×0.940	—	×0.982	0.62%
Singles /BIP	21.20%	÷1.025	×0.930	×1.001	×0.982	18.90%
Doubles /BIP	8.76%	÷1.008	×0.830	×1.001	×0.982	7.08%
Triples /BIP	1.38%	÷1.022	×0.970	×1.001	×0.982	1.29%
Home runs /BIP	5.53%	÷1.049	×0.840	—	×0.982	4.35%

Factors used: league row IL. Park (home-season share, regressed): HR 110, 1B 105, 2B 102, 3B 104, K 105, BB 99 — 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 ×1.001.

Result: wOBA .344 → .287; ISO .218 → .176; BABIP .325 → .280. 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 AAAColorado Springs Sky Sox · 57 PAwOBA .457 → .324 (−134)K% 28.1% → 37.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.07%	÷0.964	×1.290	—	—	37.57%
BB% (unintentional) /PA	10.53%	÷1.052	×0.710	—	×0.992	7.05%
HBP% /PA	1.75%	—	×0.980	—	×0.992	1.71%
Singles /BIP	21.21%	÷1.046	×0.900	—	×0.992	18.10%
Doubles /BIP	18.18%	÷1.196	×0.810	—	×0.992	12.21%
Triples /BIP	3.03%	÷1.150	×0.810	—	×0.992	2.12%
Home runs /BIP	9.09%	÷0.973	×0.780	—	×0.992	7.23%

Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 109, 2B 139, 3B 130, K 93, BB 110 — 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).

Result: wOBA .457 → .324; ISO .347 → .238; BABIP .467 → .350. 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 · 194 PAwOBA .384 → .305 (−79)K% 21.1% → 27.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.13%	÷0.979	×1.290	—	—	27.84%
BB% (unintentional) /PA	8.76%	÷1.015	×0.710	—	×1.003	6.15%
HBP% /PA	1.03%	—	×0.980	—	×1.003	1.01%
Singles /BIP	27.48%	÷1.044	×0.900	×1.031	×1.003	24.49%
Doubles /BIP	7.63%	÷1.214	×0.810	×1.031	×1.003	5.27%
Triples /BIP	1.53%	÷1.150	×0.810	×1.031	×1.003	1.11%
Home runs /BIP	5.34%	÷0.886	×0.780	—	×1.003	4.72%

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 ×1.031.

Result: wOBA .384 → .305; ISO .203 → .159; BABIP .387 → .324. 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 AAASacramento River Cats · 625 PAwOBA .360 → .319 (−42)K% 22.2% → 28.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.24%	÷0.998	×1.290	—	—	28.76%
BB% (unintentional) /PA	9.92%	÷0.953	×0.710	—	×1.018	7.53%
HBP% /PA	0.32%	—	×0.980	—	×1.018	0.32%
Singles /BIP	27.48%	÷0.975	×0.900	×1.050	×1.018	27.12%
Doubles /BIP	9.90%	÷0.929	×0.810	×1.050	×1.018	9.23%
Triples /BIP	1.24%	÷1.072	×0.810	×1.050	×1.018	1.00%
Home runs /BIP	2.72%	÷1.092	×0.780	—	×1.018	1.98%

Factors used: league row PCL. Park (home-season share, regressed): HR 118, 1B 95, 2B 86, 3B 114, K 100, BB 91 — 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 ×1.050.

Result: wOBA .360 → .319; ISO .153 → .125; BABIP .391 → .375. 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 AAASacramento River Cats · 553 PAwOBA .331 → .280 (−51)K% 23.0% → 29.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.97%	÷1.016	×1.290	—	—	29.15%
BB% (unintentional) /PA	13.74%	÷1.007	×0.710	—	×1.033	10.01%
HBP% /PA	0.72%	—	×0.980	—	×1.033	0.73%
Singles /BIP	23.21%	÷0.981	×0.900	×1.019	×1.033	22.43%
Doubles /BIP	7.44%	÷1.037	×0.810	×1.019	×1.033	6.12%
Triples /BIP	0.30%	÷0.906	×0.810	×1.019	×1.033	0.28%
Home runs /BIP	3.57%	÷0.978	×0.780	—	×1.033	2.94%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 96, 2B 107, 3B 81, K 103, BB 101 — 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 ×1.019.

Result: wOBA .331 → .280; ISO .136 → .111; BABIP .315 → .292. 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 AAMidland RockHounds · 205 PAwOBA .379 → .319 (−60)K% 22.9% → 29.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.93%	÷0.956	×1.220	—	—	29.24%
BB% (unintentional) /PA	20.00%	÷0.983	×0.700	—	×1.012	14.41%
HBP% /PA	1.46%	—	×0.870	—	×1.012	1.29%
Singles /BIP	24.55%	÷1.049	×0.920	×1.034	×1.012	22.53%
Doubles /BIP	10.00%	÷1.029	×0.840	×1.034	×1.012	8.54%
Triples /BIP	2.73%	÷1.150	×0.940	×1.034	×1.012	2.33%
Home runs /BIP	1.82%	÷0.894	×0.800	—	×1.012	1.65%

Factors used: league row TL. Park (home-season share, regressed): HR 79, 1B 110, 2B 106, 3B 130, K 91, BB 97 — 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 ×1.034.

Result: wOBA .379 → .319; ISO .146 → .130; BABIP .380 → .340. 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 — .