Phillip Evans

Pos3B

B/TR/R

Born1992-09-10

Age (2027)34

No MLB projection yet. Career stats below are historical.

Overview

INTL

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	31	AAA/INTL2 orgs	278	.237/.312/.353	7	1	60	—	.180/.242/.240
2025	32	INTLAguilas de Me…	121	.222/.294/.389	4	0	90	—
2026	33	INTLAguilas de Me…	34	.355/.412/.581	2	1	180	—

Contract

No contract data on file.

Skills · percentileStatcast 2018-2021

Speed52

xwOBA50

Avg EV32

Barrel%16

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	18	ROK	Kingsport Mets	—	29	26	9	4	0	0	3	5	0	0	1	346	414	500	914	154	429	17	10	405	82	—	—	—	—	—	—
2013	20	A	Savannah Sand Gnats	—	389	350	71	13	1	2	30	60	3	4	2	203	272	263	534	60	235	15	8	245	24	—	—	—	—	—	—
2014	21	A+	St. Lucie Mets	—	437	389	96	16	0	4	39	59	2	0	1	247	319	319	637	72	277	14	9	289	57	—	—	—	—	—	—
2015	22	A+	St. Lucie Mets	—	280	252	59	14	3	0	24	44	1	2	2	234	303	313	617	79	280	16	9	280	39	—	—	—	—	—	—
2016	23	AA	Binghamton Mets	—	386	361	121	30	0	8	19	60	4	1	1	335	375	485	860	150	384	16	5	379	96	—	—	—	—	—	—
2016	23	A+	St. Lucie Mets	—	33	28	4	0	0	0	5	3	0	0	0	143	273	143	416		160	9	15	215	3	—	—	—	—	—	—
2016	23	INTL	Criollos de Caguas	—	83	74	23	5	1	1	8	10	1	0	0	311	386	446	831	135	349	12	10	372	138	—	—	—	—	—	—
2017	24	MLB	New York Mets	—	38	33	10	2	0	0	4	8	1	0	0	303	395	364	758	61	400	21	11	351	130	+1	+0	+1	+2	+1	0.5
2017	24	AAA	Las Vegas 51s	—	510	466	130	26	3	11	42	79	2	2	3	279	341	418	760	139	316	15	8	340	67	—	—	—	—	—	—
2018	25	MLB	New York Mets	—	23	21	3	0	0	0	2	8	0	1	0	143	217	143	360		231	35	9	179	9	-2	+0	-0	+1	+0	-0.1
2018	25	AAA	Las Vegas 51s	—	245	219	56	8	1	14	21	42	3	4	3	256	329	493	822	237	255	17	9	358	80	—	—	—	—	—	—
2019	26	AAA	Iowa Cubs	—	539	466	132	30	3	17	57	74	11	1	4	283	375	470	844	187	303	14	11	373	85	—	—	—	—	—	—
2019	26	INTL	Aguilas de Mexicali	—	61	52	11	2	0	0	6	6	1	1	1	212	305	250	555	38	234	10	10	256	60	—	—	—	—	—	—
2020	27	MLB	Pittsburgh Pirates	—	45	39	14	2	0	1	5	7	1	0	1	359	444	487	932	128	419	16	11	418	171	+4	-0	-1	+0	+1	0.4
2021	28	MLB	Pittsburgh Pirates	—	247	214	44	5	0	5	28	53	5	1	0	206	312	299	611	93	250	21	11	287	80	-6	+0	-5	-7	+5	-1.2
2021	28	AAA	Indianapolis Indians	—	144	127	32	10	0	0	15	29	1	0	0	252	336	331	666	79	323	20	10	305	54	—	—	—	—	—	—
2022	29	AAA	Scranton/Wilkes-Barre RailRiders	—	400	361	88	17	0	9	31	57	5	2	2	244	312	366	678	122	265	14	8	305	45	—	—	—	—	—	—
2023	30	AAA	Reno Aces	—	590	481	150	24	2	11	92	75	8	2	2	312	430	439	869	127	344	13	16	389	95	—	—	—	—	—	—
2024	31	AAA	Gwinnett Stripers	—	200	176	39	3	0	5	20	36	2	1	0	222	308	324	632	102	248	18	10	289	40	—	—	—	—	—	—
2024	31	INTL	Aguilas de Mexicali	—	78	73	20	5	0	2	5	15	0	0	5	274	321	425	745	151	321	19	6	331	110	—	—	—	—	—	—
2025	32	INTL	Aguilas de Mexicali	—	121	108	24	6	0	4	10	22	1	0	0	222	294	389	683	167	241	18	8	301	90	—	—	—	—	—	—
2026	33	INTL	Aguilas de Mexicali	—	34	31	11	1	0	2	3	9	0	1	0	355	412	581	992	226	450	26	9	435	180	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	353	307	71	9	0	6	39	76	7	2	1	231	331	319	651	88	289	22	11	303	91	-4	+0	-5	-4	+8	-0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	18	ROK MLE	Kingsport Mets	—	29	27	7	3	0	0	2	7	0	0	1	259	310	370	681	111	344	24	7	290	82	—	—	—	—	—	—
2013	20	A MLE	Savannah Sand Gnats	—	389	359	63	11	1	2	21	82	3	4	2	175	227	228	456	53	211	21	5	204	24	—	—	—	—	—	—
2014	21	A+ MLE	St. Lucie Mets	—	437	401	89	17	0	3	27	85	2	0	1	222	274	287	561	65	264	19	6	252	57	—	—	—	—	—	—
2015	22	A+ MLE	St. Lucie Mets	—	280	258	50	12	3	0	18	63	1	2	2	194	249	264	513	70	247	22	6	226	39	—	—	—	—	—	—
2016	23	AA MLE	Binghamton Mets	—	386	366	105	23	0	6	14	69	4	1	1	287	320	399	719	112	335	18	4	310	96	—	—	—	—	—	—
2016	23	A+ MLE	St. Lucie Mets	—	33	29	4	0	0	0	4	4	0	0	0	138	242	138	380		146	12	12	173	3	—	—	—	—	—	—
2017	24	MLB MLE	New York Mets	—	38	33	10	2	0	0	4	8	1	0	0	303	395	364	758	61	400	21	11	360	130	+1	+0	+1	+2	+1	0.5
2017	24	AAA MLE	Las Vegas 51s	—	510	477	110	21	2	7	31	108	2	2	3	231	280	327	607	96	284	21	6	267	67	—	—	—	—	—	—
2018	25	MLB MLE	New York Mets	—	23	21	3	0	0	0	2	8	0	1	0	143	217	143	360		231	35	9	182	9	-2	+0	-0	+1	+0	-0.1
2018	25	AAA MLE	Las Vegas 51s	—	245	225	49	7	1	11	15	55	3	4	3	218	276	404	680	187	228	22	6	287	80	—	—	—	—	—	—
2019	26	AAA MLE	Iowa Cubs	—	539	481	109	23	2	13	42	93	11	1	4	227	303	364	667	137	250	17	8	294	85	—	—	—	—	—	—
2020	27	MLB MLE	Pittsburgh Pirates	—	45	39	14	2	0	1	5	7	1	0	1	359	444	487	932	128	419	16	11	421	171	+4	-0	-1	+0	+1	0.4
2021	28	MLB MLE	Pittsburgh Pirates	—	247	215	44	5	0	5	27	53	5	1	0	205	308	298	605	93	250	21	11	287	80	-6	+0	-5	-7	+5	-1.2
2021	28	AAA MLE	Indianapolis Indians	—	144	133	28	8	0	0	9	36	1	0	0	211	266	271	536	60	292	25	6	248	54	—	—	—	—	—	—
2022	29	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	400	372	73	14	0	6	20	68	5	2	2	196	247	282	529	86	220	17	5	234	45	—	—	—	—	—	—
2023	30	AAA MLE	Reno Aces	—	590	520	136	20	2	8	53	94	8	2	2	262	339	354	693	92	292	16	9	309	95	—	—	—	—	—	—
2024	31	AAA MLE	Gwinnett Stripers	—	200	183	33	2	0	3	13	45	2	1	0	180	242	240	483	60	219	22	6	227	40	—	—	—	—	—	—
2011	18	ROK MLE	Kingsport Mets	—	29	27	7	3	0	0	2	7	0	0	1	259	310	370	681	111	350	24	7	290	82	—	—	—	—	—	—
2011	18	ROK RAW	Kingsport Mets	—	29	26	9	4	0	0	3	5	0	0	1	346	414	500	914	154	429	17	10	405	82	—	—	—	—	—	—
2013	20	A MLE	Savannah Sand Gnats	—	389	359	63	11	1	2	21	82	3	4	2	175	227	228	456	53	218	21	5	204	24	—	—	—	—	—	—
2013	20	A RAW	Savannah Sand Gnats	—	389	350	71	13	1	2	30	60	3	4	2	203	272	263	534	60	235	15	8	245	24	—	—	—	—	—	—
2014	21	A+ MLE	St. Lucie Mets	—	437	401	89	17	0	3	27	85	2	0	1	222	274	287	561	65	270	19	6	252	57	—	—	—	—	—	—
2014	21	A+ RAW	St. Lucie Mets	—	437	389	96	16	0	4	39	59	2	0	1	247	319	319	637	72	277	14	9	289	57	—	—	—	—	—	—
2015	22	A+ MLE	St. Lucie Mets	—	280	258	50	12	3	0	18	63	1	2	2	194	249	264	513	70	253	22	6	226	39	—	—	—	—	—	—
2015	22	A+ RAW	St. Lucie Mets	—	280	252	59	14	3	0	24	44	1	2	2	234	303	313	617	79	280	16	9	280	39	—	—	—	—	—	—
2016	23	AA MLE	3 teams	—	502	475	130	28	0	7	20	88	5	1	1	274	310	377	687	103	323	18	4	299	89	—	—	—	—	—	—
2016	23	AA RAW	3 teams	—	502	463	148	35	1	9	32	73	5	1	1	320	370	458	828	138	364	15	6	368	89	—	—	—	—	—	—
2017	24	AAA MLE	2 teams	—	548	510	120	23	2	7	35	116	3	2	3	235	288	329	618	94	292	21	6	273	71	—	—	—	—	—	—
2017	24	AAA RAW	2 teams	—	548	499	140	28	3	11	46	87	3	2	3	281	345	415	760	134	322	16	8	341	71	—	—	—	—	—	—
2018	25	AAA MLE	2 teams	—	268	246	52	7	1	11	17	63	3	5	3	211	271	382	653	171	236	24	6	278	74	—	—	—	—	—	—
2018	25	AAA RAW	2 teams	—	268	240	59	8	1	14	23	50	3	5	3	246	320	463	782	217	253	19	9	343	74	—	—	—	—	—	—
2019	26	AAA MLE	2 teams	—	600	534	121	25	3	14	47	104	12	2	5	227	304	363	667	137	254	17	8	294	85	—	—	—	—	—	—
2019	26	AAA RAW	2 teams	—	600	518	143	32	3	17	63	80	12	2	5	276	368	448	815	172	295	13	10	361	85	—	—	—	—	—	—
2020	27	MLB MLE	Pittsburgh Pirates	—	45	39	14	2	0	1	5	7	1	0	1	359	444	487	932	128	419	16	11	421	171	+4	-0	-1	+0	+1	0.4
2020	27	MLB RAW	Pittsburgh Pirates	—	45	39	14	2	0	1	5	7	1	0	1	359	444	487	932	128	419	16	11	418	171	+4	-0	-1	+0	+1	0.4
2021	28	MLB MLE	2 teams	—	391	348	73	13	0	5	36	89	6	1	0	210	295	290	585	80	267	23	9	272	71	-14	+0	-5	-7	+8	-1.7
2021	28	MLB RAW	2 teams	—	391	341	76	15	0	5	43	82	6	1	0	223	321	311	631	88	278	21	11	293	71	-14	+0	-5	-7	+8	-1.7
2022	29	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	400	372	73	14	0	6	20	68	5	2	2	196	247	282	529	86	223	17	5	234	45	—	—	—	—	—	—
2022	29	AAA RAW	Scranton/Wilkes-Barre RailRiders	—	400	361	88	17	0	9	31	57	5	2	2	244	312	366	678	122	265	14	8	305	45	—	—	—	—	—	—
2023	30	AAA MLE	Reno Aces	—	590	520	136	20	2	8	53	94	8	2	2	262	339	354	693	92	300	16	9	309	95	—	—	—	—	—	—
2023	30	AAA RAW	Reno Aces	—	590	481	150	24	2	11	92	75	8	2	2	312	430	439	869	127	344	13	16	389	95	—	—	—	—	—	—
2024	31	AAA MLE	2 teams	—	278	256	47	3	0	5	18	63	2	1	5	184	243	254	497	70	221	23	6	227	40	—	—	—	—	—	—
2024	31	AAA RAW	2 teams	—	278	249	59	8	0	7	25	51	2	1	5	237	312	353	665	116	269	18	9	301	40	—	—	—	—	—	—
2025	32	INTL MLE	Aguilas de Mexicali	—	121	108	24	6	0	4	10	22	1	0	0	222	294	389	683	167	241	18	8	—	—	—	—	—	—	—	—
2025	32	INTL RAW	Aguilas de Mexicali	—	121	108	24	6	0	4	10	22	1	0	0	222	294	389	683	167	241	18	8	301	90	—	—	—	—	—	—
2026	33	INTL MLE	Aguilas de Mexicali	—	34	31	11	1	0	2	3	9	0	1	0	355	412	581	992	226	450	26	9	—	—	—	—	—	—	—	—
2026	33	INTL RAW	Aguilas de Mexicali	—	34	31	11	1	0	2	3	9	0	1	0	355	412	581	992	226	450	26	9	435	180	—	—	—	—	—	—
2011	18	ROK MLE	Kingsport Mets	—	29	27	7	3	0	0	2	7	0	0	1	259	310	370	681	111	344	24	7	290	82	—	—	—	—	—	—
2013	20	A MLE	Savannah Sand Gnats	—	389	362	63	11	1	2	21	82	3	4	2	174	227	227	454	52	211	21	5	204	24	—	—	—	—	—	—
2014	21	A+ MLE	St. Lucie Mets	—	437	405	89	17	0	3	27	85	2	0	1	220	274	284	558	64	264	19	6	252	57	—	—	—	—	—	—
2015	22	A+ MLE	St. Lucie Mets	—	280	259	50	12	3	0	18	63	1	2	2	193	249	263	512	69	247	22	6	226	39	—	—	—	—	—	—
2016	23	AA MLE	3 teams	—	502	472	130	28	0	7	20	88	5	1	1	275	310	379	689	104	320	18	4	299	89	—	—	—	—	—	—
2017	24	AAA MLE	2 teams	—	548	505	120	23	2	7	35	116	3	2	3	238	288	333	621	95	292	21	6	273	71	—	—	—	—	—	—
2018	25	AAA MLE	2 teams	—	268	246	52	7	1	11	17	63	3	5	3	211	271	382	653	171	228	24	6	278	74	—	—	—	—	—	—
2019	26	AAA MLE	2 teams	—	600	536	121	25	3	14	47	104	12	2	5	226	304	362	665	136	250	17	8	294	85	—	—	—	—	—	—
2020	27	MLB MLE	Pittsburgh Pirates	—	45	39	14	2	0	1	5	7	1	0	1	359	444	487	932	128	419	16	11	421	171	—	—	—	—	—	—
2021	28	MLB MLE	2 teams	—	391	346	73	13	0	5	36	89	6	1	0	211	295	292	587	81	265	23	9	272	71	—	—	—	—	—	—
2022	29	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	400	372	73	14	0	6	20	68	5	2	2	196	247	282	529	86	220	17	5	234	45	—	—	—	—	—	—
2023	30	AAA MLE	Reno Aces	—	590	524	136	20	2	8	53	94	8	2	2	260	339	351	690	92	292	16	9	309	95	—	—	—	—	—	—
2024	31	AAA MLE	2 teams	—	278	256	47	3	0	5	18	63	2	1	5	184	243	254	497	70	219	23	6	227	40	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	31	AAA MLE	2 teams	—	278	256	47	3	0	5	18	63	2	1	5	184	243	254	497	70	219	23	6	227	40	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	353	307	71	9	0	6	39	76	7	2	1	231	331	319	651	88	289	22	11	303	62	-4	+0	-5	-4	+8	-0.5
/ 162G	—	A+C		—	650	565	131	17	0	11	72	140	13	4	2	232	332	320	653	88	290	22	11	303	62	-7	+0	-9	-7	+14	-0.9
Career	—	MLE		—	4912	4484	1010	185	12	75	332	960	52	23	28	225	286	322	608	97	268	20	7	260	62	-4	+0	-5	-4	+8	-0.5
/ 162G	—	MLE		—	650	593	134	24	2	10	44	127	7	3	4	226	287	324	611	98	269	20	7	260	62	-7	+0	-9	-7	+14	-0.9

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.

2024 AAAGwinnett Stripers · 200 PAwOBA .284 → .227 (−58)K% 18.0% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.00%	÷0.958	×1.200	—	—	22.54%
BB% (unintentional) /PA	10.00%	÷1.001	×0.690	—	×0.952	6.56%
HBP% /PA	1.00%	—	×0.940	—	×0.952	0.89%
Singles /BIP	22.14%	÷0.977	×0.930	×0.993	×0.952	19.93%
Doubles /BIP	2.14%	÷0.961	×0.830	×0.993	×0.952	1.75%
Triples /BIP	0.00%	÷1.150	×0.970	×0.993	×0.952	0.00%
Home runs /BIP	3.57%	÷0.968	×0.700	—	×0.952	2.46%

Factors used: league row International League. Park (home-season share, regressed): HR 94, 1B 95, 2B 92, 3B 130, K 92, BB 100 — 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 ×0.993.

Result: wOBA .284 → .227; ISO .102 → .073; BABIP .248 → .219. 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).

2023 AAAReno Aces · 590 PAwOBA .383 → .309 (−74)K% 12.7% → 16.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.71%	÷0.951	×1.200	—	—	16.04%
BB% (unintentional) /PA	14.92%	÷1.096	×0.690	—	×0.962	9.03%
HBP% /PA	1.36%	—	×0.940	—	×0.962	1.23%
Singles /BIP	27.83%	÷1.026	×0.930	×1.007	×0.962	24.44%
Doubles /BIP	5.91%	÷1.059	×0.830	×1.007	×0.962	4.49%
Triples /BIP	0.49%	÷1.150	×0.970	×1.007	×0.962	0.40%
Home runs /BIP	2.71%	÷1.012	×0.700	—	×0.962	1.80%

Factors used: league row International League. Park (home-season share, regressed): HR 102, 1B 105, 2B 112, 3B 130, K 90, BB 119 — 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 ×1.007.

Result: wOBA .383 → .309; ISO .127 → .097; BABIP .344 → .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).

2022 AAAScranton/Wilkes-Barre RailRiders · 400 PAwOBA .299 → .234 (−65)K% 14.2% → 17.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.25%	÷1.001	×1.200	—	—	17.08%
BB% (unintentional) /PA	7.75%	÷1.066	×0.690	—	×0.972	4.88%
HBP% /PA	1.25%	—	×0.940	—	×0.972	1.14%
Singles /BIP	20.39%	÷1.047	×0.930	×0.982	×0.972	17.29%
Doubles /BIP	5.59%	÷0.988	×0.830	×0.982	×0.972	4.48%
Triples /BIP	0.00%	÷1.000	×0.970	×0.982	×0.972	0.00%
Home runs /BIP	2.96%	÷1.006	×0.700	—	×0.972	2.00%

Factors used: league row International League. Park (home-season share, regressed): HR 101, 1B 109, 2B 98, 3B 100, K 100, BB 113 — 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 ×0.982.

Result: wOBA .299 → .234; ISO .122 → .089; BABIP .265 → .220. 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 AAAIndianapolis Indians · 144 PAwOBA .300 → .248 (−52)K% 20.1% → 25.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.14%	÷0.961	×1.200	—	—	25.15%
BB% (unintentional) /PA	10.42%	÷1.100	×0.690	—	×0.982	6.42%
HBP% /PA	0.69%	—	×0.940	—	×0.982	0.64%
Singles /BIP	22.45%	÷1.011	×0.930	×1.029	×0.982	20.86%
Doubles /BIP	10.20%	÷0.986	×0.830	×1.029	×0.982	8.67%
Triples /BIP	0.00%	÷0.914	×0.920	×1.029	×0.982	0.00%
Home runs /BIP	0.00%	÷1.096	×0.700	—	×0.982	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 119, 1B 102, 2B 97, 3B 83, K 92, BB 120 — 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 ×1.029.

Result: wOBA .300 → .248; ISO .079 → .067; BABIP .323 → .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).

2019 AAAIowa Cubs · 539 PAwOBA .366 → .294 (−73)K% 13.7% → 17.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.73%	÷1.025	×1.290	—	—	17.28%
BB% (unintentional) /PA	10.58%	÷0.968	×0.710	—	×1.003	7.78%
HBP% /PA	2.04%	—	×0.980	—	×1.003	2.01%
Singles /BIP	20.92%	÷0.993	×0.900	×0.950	×1.003	18.07%
Doubles /BIP	7.65%	÷1.014	×0.810	×0.950	×1.003	5.83%
Triples /BIP	0.77%	÷1.029	×0.810	×0.950	×1.003	0.57%
Home runs /BIP	4.34%	÷1.050	×0.780	—	×1.003	3.23%

Factors used: league row PCL. Park (home-season share, regressed): HR 110, 1B 99, 2B 103, 3B 106, K 105, 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 ×0.950.

Result: wOBA .366 → .294; ISO .187 → .141; BABIP .303 → .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).

2018 AAALas Vegas 51s · 245 PAwOBA .351 → .287 (−64)K% 17.1% → 22.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.14%	÷0.986	×1.290	—	—	22.43%
BB% (unintentional) /PA	8.57%	÷1.039	×0.710	—	×1.018	5.96%
HBP% /PA	1.22%	—	×0.980	—	×1.018	1.22%
Singles /BIP	18.64%	÷0.992	×0.900	×0.994	×1.018	17.12%
Doubles /BIP	4.52%	÷0.918	×0.810	×0.994	×1.018	4.03%
Triples /BIP	0.56%	÷0.959	×0.810	×0.994	×1.018	0.48%
Home runs /BIP	7.91%	÷1.009	×0.780	—	×1.018	6.23%

Factors used: league row PCL. Park (home-season share, regressed): HR 102, 1B 98, 2B 84, 3B 92, K 97, BB 108 — 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 ×0.994.

Result: wOBA .351 → .287; ISO .237 → .186; BABIP .255 → .228. 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 AAALas Vegas 51s · 510 PAwOBA .331 → .267 (−64)K% 15.5% → 21.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.49%	÷0.948	×1.290	—	—	21.08%
BB% (unintentional) /PA	8.24%	÷1.015	×0.710	—	×1.033	5.95%
HBP% /PA	0.39%	—	×0.980	—	×1.033	0.40%
Singles /BIP	23.26%	÷0.994	×0.900	×0.995	×1.033	21.64%
Doubles /BIP	6.72%	÷0.998	×0.810	×0.995	×1.033	5.60%
Triples /BIP	0.78%	÷1.111	×0.810	×0.995	×1.033	0.58%
Home runs /BIP	2.84%	÷1.209	×0.780	—	×1.033	1.89%

Factors used: league row PCL. Park (home-season share, regressed): HR 142, 1B 99, 2B 100, 3B 122, K 90, BB 103 — 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 ×0.995.

Result: wOBA .331 → .267; ISO .139 → .099; BABIP .316 → .284. 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 AABinghamton Mets · 386 PAwOBA .370 → .310 (−60)K% 15.5% → 17.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.54%	÷1.062	×1.220	—	—	17.85%
BB% (unintentional) /PA	4.92%	÷0.996	×0.700	—	×1.012	3.50%
HBP% /PA	1.04%	—	×0.850	—	×1.012	0.89%
Singles /BIP	27.57%	÷1.034	×0.970	×0.963	×1.012	25.20%
Doubles /BIP	9.97%	÷1.070	×0.860	×0.963	×1.012	7.80%
Triples /BIP	0.00%	÷0.956	×0.950	×0.963	×1.012	0.00%
Home runs /BIP	2.66%	÷1.085	×0.780	—	×1.012	1.93%

Factors used: league row EL. Park (home-season share, regressed): HR 117, 1B 107, 2B 114, 3B 91, K 112, BB 99 — 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 ×0.963.

Result: wOBA .370 → .310; ISO .150 → .113; BABIP .384 → .335. 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 — .