Mason Williams

PosCF

B/TL/R

Born1991-08-21

Age (2027)35

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2021

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	27	AAABAL	494	.308/.373/.477	18	4	91	—	.257/.299/.407
2019	27	MLBBAL	34	.267/.333/.300	0	1	79	0.2
2020	28	MLBBAL	18	.111/.111/.222	0	0	-20	-0.3
2021	29	AAANYM	233	.281/.341/.414	5	7	61	—	.222/.266/.315
2021	29	MLBNYM	37	.212/.297/.333	1	0	72	0.0
2022	30	No MLB games played
2023	31	No MLB games played
2024	32	No MLB games played
2025	33	No MLB games played
2026	34	No MLB games played

Last 3 seasons WAR -0.1

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)
2010	18	ROK	GCL Yankees	—	19	18	4	0	0	0	1	4	0	1	2	222	263	222	485		286	21	5	227	-5	—	—	—	—	—	—
2012	20	A+	Tampa Yankees	—	86	83	23	3	0	3	3	14	0	1	4	277	302	422	724	145	303	16	3	321	61	—	—	—	—	—	—
2012	20	A	Charleston RiverDogs	—	311	276	84	19	4	8	21	34	4	19	9	304	362	489	851	185	321	11	7	364	101	—	—	—	—	—	—
2013	21	AA	Trenton Thunder	—	76	72	11	3	1	1	1	18	0	0	0	153	164	264	428	111	189	24	1	180	-9	—	—	—	—	—	—
2013	21	A+	Tampa Yankees	—	461	406	106	21	3	3	39	61	2	15	9	261	329	350	679	89	299	13	8	300	75	—	—	—	—	—	—
2013	21	INTL	Scottsdale Scorpions	—	94	86	23	6	0	0	8	18	0	4	2	267	330	337	667	70	338	19	9	305	93	—	—	—	—	—	—
2014	22	AA	Trenton Thunder	—	563	507	113	18	4	5	47	68	1	21	8	223	290	304	594	81	248	12	8	269	55	—	—	—	—	—	—
2015	23	MLB	New York Yankees	—	22	21	6	3	0	1	1	3	0	0	0	286	318	571	890	286	294	14	5	384	143	+1	+0	+0	+1	+0	0.3
2015	23	AAA	Scranton/Wilkes-Barre RailRiders	—	91	81	26	7	1	0	8	6	0	2	1	321	382	432	814	111	347	7	9	357	118	—	—	—	—	—	—
2015	23	AA	Trenton Thunder	—	144	120	38	7	0	0	19	17	0	11	6	317	410	375	785	58	365	12	13	349	101	—	—	—	—	—	—
2016	24	MLB	New York Yankees	—	29	27	8	1	0	0	1	12	0	0	0	296	321	333	655	37	533	41	3	287	81	-1	+0	-0	-2	+1	-0.2
2016	24	AAA	Scranton/Wilkes-Barre RailRiders	—	138	125	37	8	1	0	5	21	0	1	1	296	323	376	699	80	343	15	4	295	84	—	—	—	—	—	—
2016	24	A+	Tampa Yankees	—	43	42	14	2	1	0	1	4	0	0	0	333	349	429	777	95	368	9	2	345	78	—	—	—	—	—	—
2017	25	MLB	New York Yankees	—	17	16	4	0	0	0	1	2	0	2	0	250	294	250	544		286	12	6	254	58	-1	+0	-1	+2	+0	0.1
2017	25	AAA	Scranton/Wilkes-Barre RailRiders	—	437	399	105	10	3	2	28	66	1	19	5	263	313	318	631	55	306	15	6	283	61	—	—	—	—	—	—
2018	26	MLB	Cincinnati Reds	—	132	123	36	5	1	2	7	29	0	1	2	293	331	398	729	106	370	22	5	321	98	-0	-1	-1	-5	+3	-0.4
2018	26	AAA	Louisville Bats	—	356	318	89	18	4	6	29	57	1	5	8	280	342	418	760	138	324	16	8	332	79	—	—	—	—	—	—
2019	27	MLB	Baltimore Orioles	—	34	30	8	1	0	0	3	6	0	1	0	267	333	300	633	33	320	18	9	286	79	-1	+0	+0	+2	+1	0.2
2019	27	AAA	Norfolk Tides	—	494	442	136	15	3	18	46	86	0	4	7	308	373	477	850	170	346	17	9	373	91	—	—	—	—	—	—
2020	28	MLB	Baltimore Orioles	—	18	18	2	0	1	0	0	9	0	0	1	111	111	222	333	111	222	50	0	140	-20	-3	-0	-1	+0	+0	-0.3
2021	29	MLB	New York Mets	—	37	33	7	1	0	1	4	9	0	0	1	212	297	333	631	121	261	24	11	289	72	-1	-0	+0	+1	+1	0.0
2021	29	AAA	Syracuse Mets	—	233	210	59	13	0	5	17	51	2	7	0	281	341	414	755	133	344	22	7	333	61	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	289	268	71	11	2	4	17	70	0	4	4	265	309	366	674	101	344	24	6	299	88	-4	-1	-1	-2	+6	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	18	ROK MLE	GCL Yankees	—	19	18	3	0	0	0	1	6	0	1	2	167	211	167	377		236	32	5	161	-5	—	—	—	—	—	—
2012	20	A+ MLE	Tampa Yankees	—	86	84	20	3	0	3	2	20	0	1	4	238	256	381	637	143	272	23	2	259	61	—	—	—	—	—	—
2012	20	A MLE	Charleston RiverDogs	—	311	284	80	16	4	6	13	47	4	19	9	282	322	430	752	148	304	15	4	318	101	—	—	—	—	—	—
2013	21	AA MLE	Trenton Thunder	—	76	72	10	2	1	1	1	22	0	0	0	139	151	236	387	97	178	29	1	155	-9	—	—	—	—	—	—
2013	21	A+ MLE	Tampa Yankees	—	461	414	105	22	3	3	31	83	2	15	9	254	309	343	652	89	294	18	7	279	75	—	—	—	—	—	—
2014	22	AA MLE	Trenton Thunder	—	563	520	116	17	4	4	34	83	1	21	8	223	272	294	566	71	253	15	6	249	55	—	—	—	—	—	—
2015	23	MLB MLE	New York Yankees	—	22	21	6	3	0	1	1	3	0	0	0	286	318	571	890	286	294	14	5	380	143	+1	+0	+0	+1	+0	0.3
2015	23	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	91	85	27	7	1	0	4	7	0	2	1	318	348	424	772	106	350	8	4	343	118	—	—	—	—	—	—
2015	23	AA MLE	Trenton Thunder	—	144	127	40	7	0	0	12	22	0	11	6	315	374	370	744	55	353	15	8	318	101	—	—	—	—	—	—
2016	24	MLB MLE	New York Yankees	—	29	27	8	1	0	0	1	12	0	0	0	296	321	333	655	37	533	41	3	287	81	-1	+0	-0	-2	+1	-0.2
2016	24	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	138	126	38	7	1	0	4	25	0	1	1	302	323	373	696	71	334	18	3	292	84	—	—	—	—	—	—
2016	24	A+ MLE	Tampa Yankees	—	43	42	12	2	1	0	1	6	0	0	0	286	302	381	683	95	327	14	2	284	78	—	—	—	—	—	—
2017	25	MLB MLE	New York Yankees	—	17	16	4	0	0	0	1	2	0	2	0	250	294	250	544		286	12	6	254	58	-1	+0	-1	+2	+0	0.1
2017	25	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	437	410	104	9	3	1	17	80	1	19	5	254	285	298	583	44	299	18	4	258	61	—	—	—	—	—	—
2018	26	MLB MLE	Cincinnati Reds	—	132	124	36	5	1	2	6	29	0	1	2	290	323	395	718	105	370	22	5	313	98	-0	-1	-1	-5	+3	-0.4
2018	26	AAA MLE	Louisville Bats	—	356	326	82	15	4	5	21	71	1	5	8	252	299	368	667	117	296	20	6	285	79	—	—	—	—	—	—
2019	27	MLB MLE	Baltimore Orioles	—	34	30	8	1	0	0	3	6	0	1	0	267	333	300	633	33	320	18	9	284	79	-1	+0	+0	+2	+1	0.2
2019	27	AAA MLE	Norfolk Tides	—	494	460	118	12	3	17	28	106	0	4	7	257	299	407	706	150	291	21	6	303	91	—	—	—	—	—	—
2020	28	MLB MLE	Baltimore Orioles	—	18	18	2	0	1	0	0	9	0	0	1	111	111	222	333	111	222	50	0	139	-20	-3	-0	-1	+0	+0	-0.3
2021	29	MLB MLE	New York Mets	—	37	34	7	1	0	1	3	9	0	0	1	206	270	324	594	118	261	24	8	275	72	-1	-0	+0	+1	+1	0.0
2021	29	AAA MLE	Syracuse Mets	—	233	216	48	11	0	3	11	63	2	7	0	222	266	315	581	93	291	27	5	259	61	—	—	—	—	—	—
2010	18	ROK MLE	GCL Yankees	—	19	18	3	0	0	0	1	6	0	1	2	167	211	167	377		250	32	5	161	-5	—	—	—	—	—	—
2010	18	ROK RAW	GCL Yankees	—	19	18	4	0	0	0	1	4	0	1	2	222	263	222	485		286	21	5	227	-5	—	—	—	—	—	—
2012	20	A MLE	2 teams	—	397	368	100	19	4	9	15	67	4	20	13	272	307	418	726	147	308	17	4	305	93	—	—	—	—	—	—
2012	20	A RAW	2 teams	—	397	359	107	22	4	11	24	48	4	20	13	298	349	474	822	175	317	12	6	354	93	—	—	—	—	—	—
2013	21	A+ MLE	3 teams	—	631	575	135	29	4	4	37	123	2	19	11	235	283	320	603	85	290	19	6	261	63	—	—	—	—	—	—
2013	21	A+ RAW	3 teams	—	631	564	140	30	4	4	48	97	2	19	11	248	309	337	646	89	292	15	8	286	63	—	—	—	—	—	—
2014	22	AA MLE	Trenton Thunder	—	563	520	116	17	4	4	34	83	1	21	8	223	272	294	566	71	258	15	6	249	55	—	—	—	—	—	—
2014	22	AA RAW	Trenton Thunder	—	563	507	113	18	4	5	47	68	1	21	8	223	290	304	594	81	248	12	8	269	55	—	—	—	—	—	—
2015	23	AA MLE	3 teams	—	257	233	73	17	1	1	17	32	0	13	7	313	360	408	768	94	358	12	7	332	111	—	—	—	—	—	—
2015	23	AA RAW	3 teams	—	257	222	70	17	1	1	28	26	0	13	7	315	392	414	806	99	352	10	11	355	111	—	—	—	—	—	—
2016	24	AAA MLE	3 teams	—	210	196	58	10	2	0	5	43	0	1	1	296	313	367	681	71	369	20	2	290	82	—	—	—	—	—	—
2016	24	AAA RAW	3 teams	—	210	194	59	11	2	0	7	37	0	1	1	304	328	381	710	77	366	18	3	304	82	—	—	—	—	—	—
2017	25	AAA MLE	2 teams	—	454	426	108	9	3	1	18	82	1	21	5	254	285	296	581	42	307	18	4	258	61	—	—	—	—	—	—
2017	25	AAA RAW	2 teams	—	454	415	109	10	3	2	29	68	1	21	5	263	312	316	628	53	305	15	6	282	61	—	—	—	—	—	—
2018	26	AAA MLE	2 teams	—	488	450	118	20	5	7	27	100	1	6	10	262	305	376	681	113	323	20	6	292	84	—	—	—	—	—	—
2018	26	AAA RAW	2 teams	—	488	441	125	23	5	8	36	86	1	6	10	283	339	413	752	129	336	18	7	329	84	—	—	—	—	—	—
2019	27	AAA MLE	2 teams	—	528	490	126	13	3	17	31	112	0	5	7	257	301	400	701	143	299	21	6	302	90	—	—	—	—	—	—
2019	27	AAA RAW	2 teams	—	528	472	144	16	3	18	49	92	0	5	7	305	370	466	837	161	344	17	9	367	90	—	—	—	—	—	—
2020	28	MLB MLE	Baltimore Orioles	—	18	18	2	0	1	0	0	9	0	0	1	111	111	222	333	111	222	50	0	139	-20	-3	-0	-1	+0	+0	-0.3
2020	28	MLB RAW	Baltimore Orioles	—	18	18	2	0	1	0	0	9	0	0	1	111	111	222	333	111	222	50	0	140	-20	-3	-0	-1	+0	+0	-0.3
2021	29	AAA MLE	2 teams	—	270	250	55	12	0	4	14	72	2	7	1	220	267	316	583	96	288	27	5	261	63	—	—	—	—	—	—
2021	29	AAA RAW	2 teams	—	270	243	66	14	0	6	21	60	2	7	1	272	335	403	738	132	333	22	8	327	63	—	—	—	—	—	—
2010	18	ROK MLE	GCL Yankees	—	19	18	3	0	0	0	1	6	0	1	2	167	211	167	377		236	32	5	161	-5	—	—	—	—	—	—
2012	20	A MLE	2 teams	—	397	375	100	19	4	9	15	67	4	20	13	267	307	411	718	144	297	17	4	305	93	—	—	—	—	—	—
2013	21	A+ MLE	3 teams	—	631	587	135	29	4	4	37	123	2	19	11	230	283	313	597	83	278	19	6	261	63	—	—	—	—	—	—
2014	22	AA MLE	Trenton Thunder	—	563	523	116	17	4	4	34	83	1	21	8	222	272	293	565	71	253	15	6	249	55	—	—	—	—	—	—
2015	23	AA MLE	3 teams	—	257	238	73	17	1	1	17	32	0	13	7	307	360	399	759	92	347	12	7	332	111	—	—	—	—	—	—
2016	24	AAA MLE	3 teams	—	210	203	58	10	2	0	5	43	0	1	1	286	313	355	668	69	360	20	2	290	82	—	—	—	—	—	—
2017	25	AAA MLE	2 teams	—	454	432	108	9	3	1	18	82	1	21	5	250	285	292	577	42	299	18	4	258	61	—	—	—	—	—	—
2018	26	AAA MLE	2 teams	—	488	457	118	20	5	7	27	100	1	6	10	258	305	370	675	112	316	20	6	292	84	—	—	—	—	—	—
2019	27	AAA MLE	2 teams	—	528	492	126	13	3	17	31	112	0	5	7	256	301	398	700	142	293	21	6	302	90	—	—	—	—	—	—
2020	28	MLB MLE	Baltimore Orioles	—	18	18	2	0	1	0	0	9	0	0	1	111	111	222	333	111	222	50	0	139	-20	—	—	—	—	—	—
2021	29	AAA MLE	2 teams	—	270	252	55	12	0	4	14	72	2	7	1	218	267	313	580	95	287	27	5	261	63	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	289	268	71	11	2	4	17	70	0	4	4	265	309	366	674	101	344	24	6	299	75	-4	-1	-1	-2	+6	-0.2
/ 162G	—	A+C		—	650	603	159	25	4	9	38	157	0	9	9	264	307	363	671	100	342	24	6	299	75	-9	-2	-3	-5	+14	-0.4
Career	—	MLE		—	3835	3544	894	146	27	47	199	729	11	114	66	252	294	348	643	96	303	19	5	278	75	-4	-1	-1	-2	+6	-0.2
/ 162G	—	MLE		—	650	601	152	25	5	8	34	124	2	19	11	253	295	351	646	98	304	19	5	278	75	-9	-2	-3	-5	+14	-0.4

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 AAASyracuse Mets · 233 PAwOBA .328 → .259 (−69)K% 21.9% → 27.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.89%	÷0.966	×1.200	—	—	27.19%
BB% (unintentional) /PA	7.30%	÷1.006	×0.690	—	×0.972	4.86%
HBP% /PA	0.86%	—	×0.940	—	×0.972	0.78%
Singles /BIP	25.79%	÷1.032	×0.930	×0.970	×0.972	21.89%
Doubles /BIP	8.18%	÷0.897	×0.830	×0.970	×0.972	7.13%
Triples /BIP	0.00%	÷0.986	×0.920	×0.970	×0.972	0.00%
Home runs /BIP	3.14%	÷1.039	×0.700	—	×0.972	2.06%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 106, 2B 79, 3B 97, K 93, BB 101 — 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 ×0.970.

Result: wOBA .328 → .259; ISO .133 → .099; BABIP .344 → .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).

2019 AAANorfolk Tides · 494 PAwOBA .364 → .303 (−61)K% 17.4% → 21.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.41%	÷0.973	×1.200	—	—	21.46%
BB% (unintentional) /PA	9.11%	÷1.103	×0.690	—	×0.992	5.65%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	28.09%	÷1.033	×0.930	×0.950	×0.992	23.84%
Doubles /BIP	4.21%	÷0.990	×0.830	×0.950	×0.992	3.33%
Triples /BIP	0.84%	÷0.954	×0.970	×0.950	×0.992	0.81%
Home runs /BIP	5.06%	÷0.889	×0.840	—	×0.992	4.74%

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 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 ×0.950.

Result: wOBA .364 → .303; ISO .170 → .156; BABIP .346 → .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).

2018 AAALouisville Bats · 356 PAwOBA .324 → .285 (−39)K% 16.0% → 20.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.01%	÷0.962	×1.200	—	—	19.97%
BB% (unintentional) /PA	8.15%	÷0.967	×0.690	—	×1.003	5.83%
HBP% /PA	0.28%	—	×0.940	—	×1.003	0.26%
Singles /BIP	23.37%	÷1.011	×0.930	×1.016	×1.003	21.91%
Doubles /BIP	6.90%	÷1.018	×0.830	×1.016	×1.003	5.73%
Triples /BIP	1.53%	÷1.001	×0.970	×1.016	×1.003	1.51%
Home runs /BIP	2.30%	÷0.988	×0.840	—	×1.003	1.96%

Factors used: league row IL. Park (home-season share, regressed): HR 98, 1B 102, 2B 104, 3B 100, K 92, BB 93 — 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 ×1.016.

Result: wOBA .324 → .285; ISO .138 → .121; BABIP .324 → .296. 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 AAAScranton/Wilkes-Barre RailRiders · 437 PAwOBA .278 → .258 (−20)K% 15.1% → 18.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.10%	÷0.995	×1.200	—	—	18.22%
BB% (unintentional) /PA	6.18%	÷1.105	×0.690	—	×1.018	3.93%
HBP% /PA	0.23%	—	×0.940	—	×1.018	0.22%
Singles /BIP	27.03%	÷0.980	×0.930	×1.024	×1.018	26.75%
Doubles /BIP	3.00%	÷0.951	×0.830	×1.024	×1.018	2.73%
Triples /BIP	0.90%	÷1.150	×0.970	×1.024	×1.018	0.79%
Home runs /BIP	0.60%	÷1.247	×0.840	—	×1.018	0.41%

Factors used: league row IL. Park (home-season share, regressed): HR 149, 1B 96, 2B 90, 3B 130, K 99, BB 121 — 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 ×1.024.

Result: wOBA .278 → .258; ISO .055 → .047; BABIP .306 → .299. 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 AAAScranton/Wilkes-Barre RailRiders · 138 PAwOBA .296 → .292 (−3)K% 15.2% → 18.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.22%	÷0.994	×1.200	—	—	18.37%
BB% (unintentional) /PA	3.62%	÷0.977	×0.690	—	×1.033	2.64%
HBP% /PA	0.00%	—	×0.940	—	×1.033	0.00%
Singles /BIP	26.92%	÷0.991	×0.930	×1.037	×1.033	27.08%
Doubles /BIP	7.69%	÷1.059	×0.830	×1.037	×1.033	6.46%
Triples /BIP	0.96%	÷0.900	×0.970	×1.037	×1.033	1.11%
Home runs /BIP	0.00%	÷0.996	×0.840	—	×1.033	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 99, 1B 98, 2B 112, 3B 80, K 99, BB 95 — 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 ×1.037.

Result: wOBA .296 → .292; ISO .080 → .076; BABIP .343 → .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).

2016 A+Tampa Yankees · 43 PAwOBA .336 → .284 (−52)K% 9.3% → 13.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.30%	÷0.988	×1.420	—	—	13.36%
BB% (unintentional) /PA	2.33%	÷1.021	×0.750	—	×0.978	1.67%
HBP% /PA	0.00%	—	×0.930	—	×0.978	0.00%
Singles /BIP	28.95%	÷1.022	×0.920	—	×0.978	25.48%
Doubles /BIP	5.26%	÷0.953	×0.960	—	×0.978	5.19%
Triples /BIP	2.63%	÷1.032	×0.810	—	×0.978	2.02%
Home runs /BIP	0.00%	÷0.862	×0.880	—	×0.978	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 72, 1B 104, 2B 91, 3B 106, K 98, BB 104 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).

Result: wOBA .336 → .284; ISO .095 → .080; BABIP .368 → .327. 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 AATrenton Thunder · 144 PAwOBA .341 → .318 (−23)K% 11.8% → 15.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.81%	÷0.950	×1.220	—	—	15.16%
BB% (unintentional) /PA	12.50%	÷1.067	×0.700	—	×1.012	8.30%
HBP% /PA	0.00%	—	×0.850	—	×1.012	0.00%
Singles /BIP	30.10%	÷0.977	×0.970	×0.983	×1.012	29.71%
Doubles /BIP	6.80%	÷0.978	×0.860	×0.983	×1.012	5.94%
Triples /BIP	0.00%	÷1.150	×0.950	×0.983	×1.012	0.00%
Home runs /BIP	0.00%	÷1.153	×0.780	—	×1.012	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 131, 1B 95, 2B 96, 3B 130, K 90, BB 114 — 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 ×0.983.

Result: wOBA .341 → .318; ISO .058 → .055; BABIP .365 → .353. 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 AAAScranton/Wilkes-Barre RailRiders · 91 PAwOBA .344 → .343 (−1)K% 6.6% → 8.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.59%	÷0.991	×1.200	—	—	7.99%
BB% (unintentional) /PA	7.69%	÷1.139	×0.690	—	×1.048	4.88%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	24.00%	÷1.011	×0.930	×1.050	×1.048	24.29%
Doubles /BIP	9.33%	÷0.903	×0.830	×1.050	×1.048	9.44%
Triples /BIP	1.33%	÷1.150	×0.970	×1.050	×1.048	1.24%
Home runs /BIP	0.00%	÷0.878	×0.840	—	×1.048	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 76, 1B 102, 2B 81, 3B 130, K 98, BB 128 — 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 .344 → .343; ISO .111 → .117; BABIP .347 → .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).