Jace Peterson

Pos2B

B/TL/R

Born1990-05-09

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2024

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2022	32	MLBMIL	328	.236/.319/.382	8	12	96	1.5
2023	33	MLBARI	430	.211/.306/.307	6	15	71	-0.1
2024	34	MLBARI	26	.045/.160/.045	0	0	-36	-0.5
2025	35	No MLB games played
2026	36	No MLB games played

Last 3 seasons WAR 0.9

Contract

No contract data on file.

Skills · percentileStatcast 2022-2024

Speed50

xwOBA38

Barrel%30

Avg EV20

Bat Spd10

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)
2012	22	A	Fort Wayne TinCaps	—	521	444	127	23	9	2	62	63	5	51	13	286	380	392	772	106	328	12	12	344	86	—	—	—	—	—	—
2013	23	A+	Lake Elsinore Storm	—	496	423	128	17	13	7	54	58	5	42	10	303	388	454	842	151	332	12	11	365	103	—	—	—	—	—	—
2014	24	MLB	San Diego Padres	—	58	53	6	0	0	0	2	18	1	2	0	113	161	113	274		171	31	3	130	-33	-9	+0	-1	+2	+1	-0.7
2014	24	AAA	El Paso Chihuahuas	—	299	248	76	21	6	2	42	50	1	12	6	306	409	464	873	157	374	17	14	379	107	—	—	—	—	—	—
2014	24	AA	San Antonio Missions	—	83	74	23	3	0	1	9	9	0	4	3	311	386	392	777	81	344	11	11	354	95	—	—	—	—	—	—
2014	24	INTL	Surprise Saguaros	—	100	84	22	4	1	0	14	13	0	8	1	262	367	333	701	71	301	13	14	319	102	—	—	—	—	—	—
2015	25	MLB	Atlanta Braves	—	597	528	126	23	5	6	56	120	3	12	10	239	315	335	650	97	296	20	9	293	80	-14	-2	+5	+2	+13	0.5
2016	26	MLB	Atlanta Braves	—	408	350	89	16	1	7	52	69	1	5	5	254	352	366	718	111	296	17	13	325	104	+2	-1	+3	+2	+9	1.4
2016	26	AAA	Gwinnett Braves	—	110	97	18	3	2	0	11	15	1	2	2	186	275	258	533	72	220	14	10	248	27	—	—	—	—	—	—
2017	27	MLB	Atlanta Braves	—	215	186	40	9	2	2	27	48	1	3	0	215	318	317	635	102	279	22	13	293	78	-6	+1	-4	-4	+5	-0.9
2017	27	AAA	Gwinnett Braves	—	155	128	33	5	1	2	25	26	0	6	1	258	379	359	738	102	304	17	16	337	86	—	—	—	—	—	—
2018	28	MLB	Baltimore Orioles	—	246	210	42	13	2	3	31	58	3	13	3	200	311	324	635	124	260	24	13	292	82	-5	+1	+0	+1	+5	0.3
2019	29	MLB	Baltimore Orioles	—	108	100	22	3	1	2	6	24	1	4	1	220	271	330	601	110	267	22	6	269	65	-5	+0	+0	-5	+2	-0.7
2019	29	AAA	Norfolk Tides	—	377	326	102	25	5	10	46	56	2	13	3	313	401	512	913	199	350	15	12	400	103	—	—	—	—	—	—
2020	30	MLB	Milwaukee Brewers	—	61	45	9	1	0	2	15	20	0	1	0	200	400	356	756	156	292	33	25	350	122	+2	+0	-1	-1	+1	0.2
2021	31	MLB	Milwaukee Brewers	—	302	259	64	11	1	6	38	68	3	10	1	247	350	367	717	120	310	23	13	326	108	+3	+2	-3	+1	+7	1.0
2021	31	AAA	Nashville Sounds	—	64	55	13	4	0	5	9	19	0	1	0	236	344	582	926	345	258	30	14	397	83	—	—	—	—	—	—
2022	32	MLB	Milwaukee Brewers	—	328	288	68	14	2	8	33	85	2	12	1	236	319	382	701	146	303	26	10	311	96	-2	+2	+6	+1	+7	1.5
2023	33	MLB	Arizona Diamondbacks	—	430	374	79	10	4	6	47	101	4	15	2	211	306	307	613	96	270	23	11	281	71	-15	+2	+1	+2	+9	-0.1
2024	34	MLB	Arizona Diamondbacks	—	26	22	1	0	0	0	3	6	0	0	0	45	160	45	205		59	23	12	115	-36	-4	+0	-1	+0	+1	-0.5
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2779	2415	546	100	18	42	310	617	19	77	23	226	319	335	653	108	284	22	11	297	87	-43	+6	+4	+1	+60	2.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	22	A MLE	Fort Wayne TinCaps	—	521	462	121	19	9	1	44	83	5	51	13	262	333	348	681	87	306	16	8	296	86	—	—	—	—	—	—
2013	23	A+ MLE	Lake Elsinore Storm	—	496	437	122	15	10	6	40	76	5	42	10	279	346	400	747	121	307	15	8	321	103	—	—	—	—	—	—
2014	24	MLB MLE	San Diego Padres	—	58	54	6	0	0	0	1	18	1	2	0	111	143	111	254		171	31	2	119	-33	-9	+0	-1	+2	+1	-0.7
2014	24	AAA MLE	El Paso Chihuahuas	—	299	258	72	18	5	2	32	64	1	12	6	279	361	411	772	132	342	21	11	327	107	—	—	—	—	—	—
2014	24	AA MLE	San Antonio Missions	—	83	77	23	3	0	1	6	12	0	4	3	299	349	377	726	78	334	14	7	309	95	—	—	—	—	—	—
2015	25	MLB MLE	Atlanta Braves	—	597	532	125	22	5	6	52	120	3	12	10	235	307	329	636	94	296	20	9	287	80	-14	-2	+5	+2	+13	0.5
2016	26	MLB MLE	Atlanta Braves	—	408	352	89	15	1	8	50	69	1	5	5	253	347	369	717	116	296	17	12	322	104	+2	-1	+3	+2	+9	1.4
2016	26	AAA MLE	Gwinnett Braves	—	110	101	18	3	2	0	7	17	1	2	2	178	239	248	486	69	202	15	6	208	27	—	—	—	—	—	—
2017	27	MLB MLE	Atlanta Braves	—	215	189	40	9	2	2	24	48	1	3	0	212	304	312	616	101	279	22	11	283	78	-6	+1	-4	-4	+5	-0.9
2017	27	AAA MLE	Gwinnett Braves	—	155	136	33	5	1	2	17	32	0	6	1	243	327	338	665	96	291	21	11	296	86	—	—	—	—	—	—
2018	28	MLB MLE	Baltimore Orioles	—	246	210	42	13	2	3	31	58	3	13	3	200	311	324	635	124	260	24	13	289	82	-5	+1	+0	+1	+5	0.3
2019	29	MLB MLE	Baltimore Orioles	—	108	100	22	3	1	2	6	24	1	4	1	220	271	330	601	110	267	22	6	264	65	-5	+0	+0	-5	+2	-0.7
2019	29	AAA MLE	Norfolk Tides	—	377	344	89	20	5	10	28	69	2	13	3	259	318	433	751	174	291	18	7	321	103	—	—	—	—	—	—
2020	30	MLB MLE	Milwaukee Brewers	—	61	45	9	1	0	2	15	20	0	1	0	200	400	356	756	156	292	33	25	348	122	+2	+0	-1	-1	+1	0.2
2021	31	MLB MLE	Milwaukee Brewers	—	302	259	65	12	1	6	38	68	3	10	1	251	353	375	728	124	310	23	13	328	108	+3	+2	-3	+1	+7	1.0
2021	31	AAA MLE	Nashville Sounds	—	64	58	11	3	0	4	6	22	0	1	0	190	266	448	714	259	211	34	9	291	83	—	—	—	—	—	—
2022	32	MLB MLE	Milwaukee Brewers	—	328	290	69	15	2	8	31	85	2	12	1	238	316	386	702	148	303	26	9	309	96	-2	+2	+6	+1	+7	1.5
2023	33	MLB MLE	Arizona Diamondbacks	—	430	376	77	9	3	6	45	101	4	15	2	205	296	293	589	88	270	23	10	273	71	-15	+2	+1	+2	+9	-0.1
2024	34	MLB MLE	Arizona Diamondbacks	—	26	22	1	0	0	0	3	6	0	0	0	45	160	45	205		59	23	12	115	-36	-4	+0	-1	+0	+1	-0.5
2012	22	A MLE	Fort Wayne TinCaps	—	521	462	121	19	9	1	44	83	5	51	13	262	333	348	681	87	316	16	8	296	86	—	—	—	—	—	—
2012	22	A RAW	Fort Wayne TinCaps	—	521	444	127	23	9	2	62	63	5	51	13	286	380	392	772	106	328	12	12	344	86	—	—	—	—	—	—
2013	23	A+ MLE	Lake Elsinore Storm	—	496	437	122	15	10	6	40	76	5	42	10	279	346	400	747	121	320	15	8	321	103	—	—	—	—	—	—
2013	23	A+ RAW	Lake Elsinore Storm	—	496	423	128	17	13	7	54	58	5	42	10	303	388	454	842	151	332	12	11	365	103	—	—	—	—	—	—
2014	24	AAA MLE	4 teams	—	540	478	122	25	6	3	48	115	2	26	10	255	326	351	677	96	327	21	9	296	87	—	—	—	—	—	—
2014	24	AAA RAW	4 teams	—	540	459	127	28	7	3	67	90	2	26	10	277	371	388	759	111	335	17	12	338	87	—	—	—	—	—	—
2015	25	MLB MLE	Atlanta Braves	—	597	532	125	22	5	6	52	120	3	12	10	235	307	329	636	94	291	20	9	287	80	-14	-2	+5	+2	+13	0.5
2015	25	MLB RAW	Atlanta Braves	—	597	528	126	23	5	6	56	120	3	12	10	239	315	335	650	97	296	20	9	293	80	-14	-2	+5	+2	+13	0.5
2016	26	MLB MLE	2 teams	—	518	453	107	18	3	8	57	86	2	7	7	236	324	342	666	106	273	17	11	298	88	-8	-1	+3	+2	+11	0.7
2016	26	MLB RAW	2 teams	—	518	447	107	19	3	7	63	84	2	7	7	239	336	342	678	103	279	16	12	309	88	-8	-1	+3	+2	+11	0.7
2017	27	MLB MLE	2 teams	—	370	325	73	14	3	4	41	80	1	9	1	225	313	323	636	98	284	22	11	288	81	-8	+1	-4	-4	+8	-0.7
2017	27	MLB RAW	2 teams	—	370	314	73	14	3	4	52	74	1	9	1	232	343	334	678	102	290	20	14	311	81	-8	+1	-4	-4	+8	-0.7
2018	28	MLB MLE	Baltimore Orioles	—	246	210	42	13	2	3	31	58	3	13	3	200	311	324	635	124	260	24	13	289	82	-5	+1	+0	+1	+5	0.3
2018	28	MLB RAW	Baltimore Orioles	—	246	210	42	13	2	3	31	58	3	13	3	200	311	324	635	124	260	24	13	292	82	-5	+1	+0	+1	+5	0.3
2019	29	AAA MLE	2 teams	—	485	444	110	23	6	11	34	93	3	17	4	248	306	401	707	153	288	19	7	308	95	—	—	—	—	—	—
2019	29	AAA RAW	2 teams	—	485	426	124	28	6	12	52	80	3	17	4	291	372	469	842	178	331	16	11	370	95	—	—	—	—	—	—
2020	30	MLB MLE	Milwaukee Brewers	—	61	45	9	1	0	2	15	20	0	1	0	200	400	356	756	156	292	33	25	348	122	+2	+0	-1	-1	+1	0.2
2020	30	MLB RAW	Milwaukee Brewers	—	61	45	9	1	0	2	15	20	0	1	0	200	400	356	756	156	292	33	25	350	122	+2	+0	-1	-1	+1	0.2
2021	31	MLB MLE	2 teams	—	366	317	75	15	1	9	44	90	3	11	1	237	335	375	711	139	300	25	12	322	104	+2	+2	-3	+1	+8	1.0
2021	31	MLB RAW	2 teams	—	366	314	77	15	1	11	47	87	3	11	1	245	349	404	753	159	303	24	13	339	104	+2	+2	-3	+1	+8	1.0
2022	32	MLB MLE	Milwaukee Brewers	—	328	290	69	15	2	8	31	85	2	12	1	238	316	386	702	148	305	26	9	309	96	-2	+2	+6	+1	+7	1.5
2022	32	MLB RAW	Milwaukee Brewers	—	328	288	68	14	2	8	33	85	2	12	1	236	319	382	701	146	303	26	10	311	96	-2	+2	+6	+1	+7	1.5
2023	33	MLB MLE	Arizona Diamondbacks	—	430	376	77	9	3	6	45	101	4	15	2	205	296	293	589	88	261	23	10	273	71	-15	+2	+1	+2	+9	-0.1
2023	33	MLB RAW	Arizona Diamondbacks	—	430	374	79	10	4	6	47	101	4	15	2	211	306	307	613	96	270	23	11	281	71	-15	+2	+1	+2	+9	-0.1
2024	34	MLB MLE	Arizona Diamondbacks	—	26	22	1	0	0	0	3	6	0	0	0	45	160	45	205		59	23	12	115	-36	-4	+0	-1	+0	+1	-0.5
2024	34	MLB RAW	Arizona Diamondbacks	—	26	22	1	0	0	0	3	6	0	0	0	45	160	45	205		59	23	12	115	-36	-4	+0	-1	+0	+1	-0.5
2012	22	A MLE	Fort Wayne TinCaps	—	521	467	121	19	9	1	44	83	5	51	13	259	333	345	677	86	306	16	8	296	86	—	—	—	—	—	—
2013	23	A+ MLE	Lake Elsinore Storm	—	496	448	122	15	10	6	40	76	5	42	10	272	346	391	737	118	307	15	8	321	103	—	—	—	—	—	—
2014	24	AAA MLE	4 teams	—	540	485	122	25	6	3	48	115	2	26	10	252	326	346	672	95	318	21	9	296	87	—	—	—	—	—	—
2015	25	MLB MLE	Atlanta Braves	—	597	537	125	22	5	6	52	120	3	12	10	233	307	326	633	93	296	20	9	287	80	—	—	—	—	—	—
2016	26	MLB MLE	2 teams	—	518	454	107	18	3	8	57	86	2	7	7	236	324	341	666	106	276	17	11	298	88	—	—	—	—	—	—
2017	27	MLB MLE	2 teams	—	370	325	73	14	3	4	41	80	1	9	1	225	313	323	636	98	284	22	11	288	81	—	—	—	—	—	—
2018	28	MLB MLE	Baltimore Orioles	—	246	210	42	13	2	3	31	58	3	13	3	200	311	324	635	124	260	24	13	289	82	—	—	—	—	—	—
2019	29	AAA MLE	2 teams	—	485	445	110	23	6	11	34	93	3	17	4	247	306	400	706	153	286	19	7	308	95	—	—	—	—	—	—
2020	30	MLB MLE	Milwaukee Brewers	—	61	46	9	1	0	2	15	20	0	1	0	196	400	348	748	152	292	33	25	348	122	—	—	—	—	—	—
2021	31	MLB MLE	2 teams	—	366	316	75	15	1	9	44	90	3	11	1	237	335	377	712	139	293	25	12	322	104	—	—	—	—	—	—
2022	32	MLB MLE	Milwaukee Brewers	—	328	292	69	15	2	8	31	85	2	12	1	236	316	384	699	147	303	26	9	309	96	—	—	—	—	—	—
2023	33	MLB MLE	Arizona Diamondbacks	—	430	378	77	9	3	6	45	101	4	15	2	204	296	291	587	87	270	23	10	273	71	—	—	—	—	—	—
2024	34	MLB MLE	Arizona Diamondbacks	—	26	23	1	0	0	0	3	6	0	0	0	43	160	43	203		59	23	12	115	-36	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	34	MLB MLE	Arizona Diamondbacks	—	26	23	1	0	0	0	3	6	0	0	0	43	160	43	203		59	23	12	115	-36	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2779	2415	546	100	18	42	310	617	19	77	23	226	319	335	653	108	284	22	11	297	88	-43	+6	+4	+1	+60	2.9
/ 162G	—	A+C		—	650	565	127	23	4	10	73	144	4	18	5	225	318	333	651	108	282	22	11	297	88	-10	+1	+1	+0	+14	0.7
Career	—	MLE		—	4984	4391	1053	189	50	67	485	1013	33	216	62	240	320	351	671	112	295	20	10	298	88	-43	+6	+4	+1	+60	2.9
/ 162G	—	MLE		—	650	573	138	25	7	9	63	132	4	28	8	241	320	356	676	115	295	20	10	298	88	-10	+1	+1	+0	+14	0.7

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.

2021 AAANashville Sounds · 64 PAwOBA .386 → .291 (−96)K% 29.7% → 34.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.69%	÷1.024	×1.200	—	—	34.80%
BB% (unintentional) /PA	14.06%	÷0.946	×0.690	—	×0.962	9.87%
HBP% /PA	0.00%	—	×0.940	—	×0.962	0.00%
Singles /BIP	11.11%	÷0.966	×0.930	—	×0.962	10.29%
Doubles /BIP	11.11%	÷1.030	×0.830	—	×0.962	8.61%
Triples /BIP	0.00%	÷1.150	×0.920	—	×0.962	0.00%
Home runs /BIP	13.89%	÷0.915	×0.700	—	×0.962	10.22%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 93, 2B 106, 3B 130, K 105, BB 89 — 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 .386 → .291; ISO .345 → .253; BABIP .258 → .211. 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 AAANorfolk Tides · 377 PAwOBA .392 → .321 (−71)K% 14.9% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.85%	÷0.973	×1.200	—	—	18.31%
BB% (unintentional) /PA	12.20%	÷1.103	×0.690	—	×0.982	7.50%
HBP% /PA	0.53%	—	×0.940	—	×0.982	0.49%
Singles /BIP	22.96%	÷1.033	×0.930	×0.952	×0.982	19.34%
Doubles /BIP	9.26%	÷0.990	×0.830	×0.952	×0.982	7.26%
Triples /BIP	1.85%	÷0.954	×0.970	×0.952	×0.982	1.76%
Home runs /BIP	3.70%	÷0.889	×0.840	—	×0.982	3.44%

Factors used: league row IL. Park (home-season share, regressed): HR 78, 1B 107, 2B 98, 3B 91, K 95, BB 121 — 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 ×0.952.

Result: wOBA .392 → .321; ISO .199 → .180; BABIP .350 → .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 AAAGwinnett Braves · 155 PAwOBA .331 → .296 (−35)K% 16.8% → 20.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.77%	÷0.989	×1.200	—	—	20.36%
BB% (unintentional) /PA	15.48%	÷0.999	×0.690	—	×1.003	10.73%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	24.51%	÷1.005	×0.930	×1.039	×1.003	23.65%
Doubles /BIP	4.90%	÷0.936	×0.830	×1.039	×1.003	4.53%
Triples /BIP	0.98%	÷1.005	×0.970	×1.039	×1.003	0.99%
Home runs /BIP	1.96%	÷0.972	×0.840	—	×1.003	1.70%

Factors used: league row IL. Park (home-season share, regressed): HR 94, 1B 101, 2B 87, 3B 101, K 98, 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 ×1.039.

Result: wOBA .331 → .296; ISO .102 → .097; BABIP .304 → .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).

2016 AAAGwinnett Braves · 110 PAwOBA .238 → .208 (−29)K% 13.6% → 15.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.64%	÷1.046	×1.200	—	—	15.64%
BB% (unintentional) /PA	9.09%	÷1.022	×0.690	—	×1.018	6.25%
HBP% /PA	0.91%	—	×0.940	—	×1.018	0.87%
Singles /BIP	15.85%	÷1.017	×0.930	×1.009	×1.018	14.90%
Doubles /BIP	3.66%	÷0.991	×0.830	×1.009	×1.018	3.15%
Triples /BIP	2.44%	÷1.150	×0.970	×1.009	×1.018	2.11%
Home runs /BIP	0.00%	÷1.132	×0.840	—	×1.018	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 126, 1B 103, 2B 98, 3B 130, K 109, BB 104 — 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 ×1.009.

Result: wOBA .238 → .208; ISO .072 → .065; BABIP .220 → .202. 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 · 299 PAwOBA .372 → .327 (−46)K% 16.7% → 21.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.72%	÷1.002	×1.290	—	—	21.54%
BB% (unintentional) /PA	14.05%	÷0.970	×0.710	—	×1.048	10.77%
HBP% /PA	0.33%	—	×0.980	—	×1.048	0.34%
Singles /BIP	23.74%	÷1.018	×0.900	×1.050	×1.048	23.09%
Doubles /BIP	10.61%	÷1.068	×0.810	×1.050	×1.048	8.85%
Triples /BIP	3.03%	÷1.150	×0.810	×1.050	×1.048	2.35%
Home runs /BIP	1.01%	÷0.958	×0.780	—	×1.048	0.86%

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 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 ×1.050.

Result: wOBA .372 → .327; ISO .157 → .131; BABIP .374 → .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).

2014 AASan Antonio Missions · 83 PAwOBA .345 → .309 (−36)K% 10.8% → 14.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.84%	÷0.942	×1.220	—	—	14.05%
BB% (unintentional) /PA	10.84%	÷1.083	×0.700	—	×1.012	7.09%
HBP% /PA	0.00%	—	×0.870	—	×1.012	0.00%
Singles /BIP	29.23%	÷0.948	×0.920	×1.012	×1.012	29.05%
Doubles /BIP	4.62%	÷1.020	×0.840	×1.012	×1.012	3.89%
Triples /BIP	0.00%	÷1.065	×0.940	×1.012	×1.012	0.00%
Home runs /BIP	1.54%	÷0.960	×0.800	—	×1.012	1.30%

Factors used: league row TL. Park (home-season share, regressed): HR 92, 1B 90, 2B 104, 3B 113, K 88, BB 117 — 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 ×1.012.

Result: wOBA .345 → .309; ISO .081 → .069; BABIP .344 → .334. 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 A+Lake Elsinore Storm · 496 PAwOBA .361 → .321 (−40)K% 11.7% → 15.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.69%	÷1.023	×1.340	—	—	15.32%
BB% (unintentional) /PA	10.89%	÷0.962	×0.710	—	×0.998	8.02%
HBP% /PA	1.01%	—	×0.790	—	×0.998	0.79%
Singles /BIP	24.93%	÷0.987	×0.910	×1.050	×0.998	24.08%
Doubles /BIP	4.66%	÷0.973	×0.820	×1.050	×0.998	4.11%
Triples /BIP	3.56%	÷1.098	×0.760	×1.050	×0.998	2.58%
Home runs /BIP	1.92%	÷1.052	×0.920	—	×0.998	1.67%

Factors used: league row CAL. Park (home-season share, regressed): HR 110, 1B 97, 2B 95, 3B 120, K 105, BB 92 — 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 ×1.050.

Result: wOBA .361 → .321; ISO .151 → .127; BABIP .332 → .307. 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 AFort Wayne TinCaps · 521 PAwOBA .337 → .296 (−41)K% 12.1% → 15.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.09%	÷1.036	×1.360	—	—	15.87%
BB% (unintentional) /PA	11.90%	÷0.970	×0.690	—	—	8.47%
HBP% /PA	0.96%	—	×0.780	—	—	0.75%
Singles /BIP	24.41%	÷0.998	×0.920	×1.050	—	23.63%
Doubles /BIP	6.04%	÷1.109	×0.830	×1.050	—	4.75%
Triples /BIP	2.36%	÷1.000	×0.910	×1.050	—	2.26%
Home runs /BIP	0.52%	÷1.348	×0.800	—	—	0.31%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 170, 1B 100, 2B 122, 3B 100, K 107, BB 94 — 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 ×1.050.

Result: wOBA .337 → .296; ISO .106 → .090; BABIP .328 → .306. 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 — .