Clint Frazier

PosLF

B/TR/R

Born1994-09-06

Age (2027)32

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	26	MLBNYY	218	.186/.317/.317	5	2	85	-1.0
2022	27	AAA/INTL2 orgs	290	.181/.278/.283	6	5	25	—	.158/.228/.237
2022	27	MLBCHC	45	.216/.356/.297	0	1	95	-0.4
2023	28	AAACWS	316	.235/.364/.442	12	5	64	—	.180/.272/.309
2023	28	MLBCWS	76	.197/.303/.242	0	4	63	-0.8
2024	29	No MLB games played
2025	30	No MLB games played
2026	31	No MLB games played

Last 3 seasons WAR -2.3

Contract

No contract data on file.

Skills · percentileStatcast 2021-2023

Speed55

xwOBA42

Barrel%41

Avg EV10

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)
2013	18	ROK	AZL Indians	—	196	172	51	11	5	5	17	61	3	3	2	297	370	506	876	209	418	31	9	377	49	—	—	—	—	—	—
2014	19	A	Lake County Captains	—	542	474	126	18	6	13	56	161	7	12	6	266	352	411	763	146	372	30	10	341	58	—	—	—	—	—	—
2015	20	A+	Lynchburg Hillcats	—	588	501	143	36	3	16	68	125	9	15	7	285	381	465	846	180	348	21	12	371	82	—	—	—	—	—	—
2015	20	INTL	Scottsdale Scorpions	—	98	89	25	1	2	3	7	27	2	4	3	281	347	438	785	157	373	28	7	350	123	—	—	—	—	—	—
2016	21	AAA	Scranton/Wilkes-Barre RailRiders	—	129	122	28	2	4	3	7	36	0	0	0	230	271	385	657	156	301	28	5	290	54	—	—	—	—	—	—
2016	21	AA	Akron RubberDucks	—	391	341	94	25	1	13	41	86	3	13	4	276	358	469	828	194	331	22	10	362	103	—	—	—	—	—	—
2017	22	MLB	New York Yankees	—	142	134	31	9	4	4	7	43	0	1	0	231	270	448	717	216	307	30	5	309	93	-1	+0	-1	-5	+3	-0.4
2017	22	AAA	Scranton/Wilkes-Barre RailRiders	—	320	273	70	19	2	12	37	69	3	9	2	256	351	473	824	216	291	22	12	357	90	—	—	—	—	—	—
2018	23	MLB	New York Yankees	—	41	34	9	3	0	0	5	13	2	0	0	265	390	353	743	88	429	32	12	347	122	+1	+0	-2	-3	+1	-0.3
2018	23	AAA	Scranton/Wilkes-Barre RailRiders	—	216	190	59	14	3	10	23	52	2	4	2	311	391	574	964	263	380	24	11	417	118	—	—	—	—	—	—
2018	23	A+	Tampa Tarpons	—	26	20	5	1	0	1	4	3	1	2	0	250	400	450	850	200	235	12	15	369	106	—	—	—	—	—	—
2019	24	MLB	New York Yankees	—	246	225	60	14	0	12	16	70	2	1	2	267	321	489	810	222	329	28	7	351	118	+5	-1	-9	-6	+5	-0.5
2019	24	AAA	Scranton/Wilkes-Barre RailRiders	—	269	247	61	20	1	8	17	56	4	1	2	247	306	433	739	186	288	21	6	326	61	—	—	—	—	—	—
2020	25	MLB	New York Yankees	—	160	131	35	6	1	8	25	44	3	3	0	267	396	511	908	244	338	28	16	398	152	+10	+1	+0	-2	+3	1.3
2021	26	MLB	New York Yankees	—	218	183	34	9	0	5	32	65	3	2	0	186	317	317	633	131	257	30	15	296	85	-4	+0	-9	-2	+5	-1.0
2022	27	MLB	Chicago Cubs	—	45	37	8	3	0	0	7	11	1	1	0	216	356	297	653	81	308	24	16	311	95	-0	+0	-2	-4	+1	-0.4
2022	27	AAA	Iowa Cubs	—	265	232	44	8	0	6	25	92	6	5	0	190	285	302	587	112	279	35	9	271	28	—	—	—	—	—	—
2022	27	INTL	Toros del Este	—	25	22	2	0	0	0	3	5	0	0	0	91	200	91	291		118	20	12	156	-8	—	—	—	—	—	—
2023	28	MLB	Chicago White Sox	—	76	66	13	1	1	0	10	23	0	4	2	197	303	242	545	45	302	30	13	261	63	-3	+0	-2	-4	+2	-0.8
2023	28	AAA	Charlotte Knights	—	316	260	61	14	2	12	47	86	6	5	4	235	364	442	807	208	297	27	15	358	64	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	928	810	190	45	6	29	102	269	11	12	4	235	328	412	741	178	311	29	11	330	110	+11	+1	-25	-25	+20	-1.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	18	ROK MLE	AZL Indians	—	196	178	33	7	3	3	11	88	3	3	2	185	245	309	554	124	309	45	6	241	49	—	—	—	—	—	—
2014	19	A MLE	Lake County Captains	—	542	490	97	13	5	9	40	222	7	12	6	198	268	300	568	102	329	41	7	254	58	—	—	—	—	—	—
2015	20	A+ MLE	Lynchburg Hillcats	—	588	528	123	29	3	13	41	172	9	15	7	233	299	373	672	140	305	29	7	289	82	—	—	—	—	—	—
2016	21	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	129	124	25	2	4	2	5	43	0	0	0	202	233	331	563	129	292	33	4	248	54	—	—	—	—	—	—
2016	21	AA MLE	Akron RubberDucks	—	391	350	90	22	1	11	32	105	3	13	4	257	325	420	745	163	324	27	8	320	103	—	—	—	—	—	—
2017	22	MLB MLE	New York Yankees	—	142	134	31	9	4	4	7	43	0	1	0	231	270	448	717	216	307	30	5	306	93	-1	+0	-1	-5	+3	-0.4
2017	22	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	320	287	67	18	2	9	23	83	3	9	2	233	297	404	701	171	274	26	7	301	90	—	—	—	—	—	—
2018	23	MLB MLE	New York Yankees	—	41	34	9	3	0	0	5	13	2	0	0	265	390	353	743	88	429	32	12	349	122	+1	+0	-2	-3	+1	-0.3
2018	23	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	216	197	52	12	3	8	16	62	2	4	2	264	326	477	803	213	341	29	7	343	118	—	—	—	—	—	—
2018	23	A+ MLE	Tampa Tarpons	—	26	21	5	1	0	1	3	4	1	2	0	238	360	429	789	190	220	15	12	325	106	—	—	—	—	—	—
2019	24	MLB MLE	New York Yankees	—	246	226	59	14	0	11	15	70	2	1	2	261	313	469	782	208	329	28	6	343	118	+5	-1	-9	-6	+5	-0.5
2019	24	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	269	253	51	16	1	6	11	67	4	1	2	202	246	344	590	142	247	25	4	258	61	—	—	—	—	—	—
2020	25	MLB MLE	New York Yankees	—	160	131	34	6	1	7	25	44	3	3	0	260	390	481	871	221	338	28	16	392	152	+10	+1	+0	-2	+3	1.3
2021	26	MLB MLE	New York Yankees	—	218	183	34	9	0	5	32	65	3	2	0	186	317	317	633	131	257	30	15	294	85	-4	+0	-9	-2	+5	-1.0
2022	27	MLB MLE	Chicago Cubs	—	45	37	8	3	0	0	7	11	1	1	0	216	356	297	653	81	308	24	16	308	95	-0	+0	-2	-4	+1	-0.4
2022	27	AAA MLE	Iowa Cubs	—	265	241	38	7	0	4	16	112	6	5	0	158	228	237	465	79	261	42	6	210	28	—	—	—	—	—	—
2023	28	MLB MLE	Chicago White Sox	—	76	66	13	1	1	0	10	23	0	4	2	197	303	242	545	45	302	30	13	261	63	-3	+0	-2	-4	+2	-0.8
2023	28	AAA MLE	Charlotte Knights	—	316	278	50	11	2	7	29	106	6	5	4	180	272	309	581	129	253	34	9	263	64	—	—	—	—	—	—
2013	18	ROK MLE	AZL Indians	—	196	178	33	7	3	3	11	88	3	3	2	185	245	309	554	124	330	45	6	241	49	—	—	—	—	—	—
2013	18	ROK RAW	AZL Indians	—	196	172	51	11	5	5	17	61	3	3	2	297	370	506	876	209	418	31	9	377	49	—	—	—	—	—	—
2014	19	A MLE	Lake County Captains	—	542	490	97	13	5	9	40	222	7	12	6	198	268	300	568	102	335	41	7	254	58	—	—	—	—	—	—
2014	19	A RAW	Lake County Captains	—	542	474	126	18	6	13	56	161	7	12	6	266	352	411	763	146	372	30	10	341	58	—	—	—	—	—	—
2015	20	A+ MLE	2 teams	—	686	618	143	34	3	15	47	201	11	19	10	231	297	369	666	138	314	29	7	289	82	—	—	—	—	—	—
2015	20	A+ RAW	2 teams	—	686	590	168	37	5	19	75	152	11	19	10	285	376	461	837	176	351	22	11	368	82	—	—	—	—	—	—
2016	21	AA MLE	2 teams	—	520	474	115	24	5	13	37	149	3	13	4	243	302	397	698	154	324	29	7	302	91	—	—	—	—	—	—
2016	21	AA RAW	2 teams	—	520	463	122	27	5	16	48	122	3	13	4	263	337	447	784	184	323	23	9	344	91	—	—	—	—	—	—
2017	22	AAA MLE	2 teams	—	462	421	98	27	6	13	30	126	3	10	2	233	289	418	707	185	293	27	6	303	91	—	—	—	—	—	—
2017	22	AAA RAW	2 teams	—	462	407	101	28	6	16	44	112	3	10	2	248	326	464	790	216	296	24	10	342	91	—	—	—	—	—	—
2018	23	AAA MLE	3 teams	—	283	252	66	16	3	9	24	79	5	6	2	262	338	456	794	194	343	28	8	342	118	—	—	—	—	—	—
2018	23	AAA RAW	3 teams	—	283	244	73	18	3	11	32	68	5	6	2	299	391	533	924	234	371	24	11	403	118	—	—	—	—	—	—
2019	24	AAA MLE	2 teams	—	515	479	110	30	1	17	26	137	6	2	4	230	278	403	681	173	283	27	5	298	88	—	—	—	—	—	—
2019	24	AAA RAW	2 teams	—	515	472	121	34	1	20	33	126	6	2	4	256	313	460	773	203	306	24	6	338	88	—	—	—	—	—	—
2020	25	MLB MLE	New York Yankees	—	160	131	34	6	1	7	25	44	3	3	0	260	390	481	871	221	333	28	16	392	152	+10	+1	+0	-2	+3	1.3
2020	25	MLB RAW	New York Yankees	—	160	131	35	6	1	8	25	44	3	3	0	267	396	511	908	244	338	28	16	398	152	+10	+1	+0	-2	+3	1.3
2021	26	MLB MLE	New York Yankees	—	218	183	34	9	0	5	32	65	3	2	0	186	317	317	633	131	257	30	15	294	85	-4	+0	-9	-2	+5	-1.0
2021	26	MLB RAW	New York Yankees	—	218	183	34	9	0	5	32	65	3	2	0	186	317	317	633	131	257	30	15	296	85	-4	+0	-9	-2	+5	-1.0
2022	27	AAA MLE	3 teams	—	335	301	49	10	0	4	25	133	7	6	0	163	243	236	479	73	271	40	7	224	38	—	—	—	—	—	—
2022	27	AAA RAW	3 teams	—	335	291	54	11	0	6	35	108	7	6	0	186	288	285	574	100	268	32	10	268	38	—	—	—	—	—	—
2023	28	AAA MLE	2 teams	—	392	344	63	12	3	7	39	129	6	9	6	183	278	297	574	113	265	33	10	263	64	—	—	—	—	—	—
2023	28	AAA RAW	2 teams	—	392	326	74	15	3	12	57	109	6	9	6	227	352	402	754	175	298	28	15	339	64	—	—	—	—	—	—
2013	18	ROK MLE	AZL Indians	—	196	180	33	7	3	3	11	88	3	3	2	183	245	306	550	122	309	45	6	241	49	—	—	—	—	—	—
2014	19	A MLE	Lake County Captains	—	542	490	97	13	5	9	40	222	7	12	6	198	268	300	568	102	329	41	7	254	58	—	—	—	—	—	—
2015	20	A+ MLE	2 teams	—	686	623	143	34	3	15	47	201	11	19	10	230	297	366	663	136	305	29	7	289	82	—	—	—	—	—	—
2016	21	AA MLE	2 teams	—	520	475	115	24	5	13	37	149	3	13	4	242	302	396	697	154	316	29	7	302	91	—	—	—	—	—	—
2017	22	AAA MLE	2 teams	—	462	426	98	27	6	13	30	126	3	10	2	230	289	413	702	183	284	27	6	303	91	—	—	—	—	—	—
2018	23	AAA MLE	3 teams	—	283	252	66	16	3	9	24	79	5	6	2	262	338	456	794	194	343	28	8	342	118	—	—	—	—	—	—
2019	24	AAA MLE	2 teams	—	515	478	110	30	1	17	26	137	6	2	4	230	278	404	682	174	286	27	5	298	88	—	—	—	—	—	—
2020	25	MLB MLE	New York Yankees	—	160	131	34	6	1	7	25	44	3	3	0	260	390	481	871	221	338	28	16	392	152	—	—	—	—	—	—
2021	26	MLB MLE	New York Yankees	—	218	181	34	9	0	5	32	65	3	2	0	188	317	320	637	133	257	30	15	294	85	—	—	—	—	—	—
2022	27	AAA MLE	3 teams	—	335	300	49	10	0	4	25	133	7	6	0	163	243	237	480	73	268	40	7	224	38	—	—	—	—	—	—
2023	28	AAA MLE	2 teams	—	392	344	63	12	3	7	39	129	6	9	6	183	278	297	574	113	263	33	10	263	64	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	928	810	190	45	6	29	102	269	11	12	4	235	328	412	741	178	311	29	11	330	80	+11	+1	-25	-25	+20	-1.9
/ 162G	—	A+C		—	650	567	133	32	4	20	71	188	8	8	3	235	328	411	739	176	311	29	11	330	80	+8	+1	-17	-18	+14	-1.3
Career	—	MLE		—	4309	3871	842	188	30	102	336	1373	57	85	36	218	290	361	650	143	304	32	8	287	80	+11	+1	-25	-25	+20	-1.9
/ 162G	—	MLE		—	650	584	127	28	5	15	51	207	9	13	5	217	290	360	650	142	305	32	8	287	80	+8	+1	-17	-18	+14	-1.3

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.

2023 AAACharlotte Knights · 316 PAwOBA .353 → .263 (−90)K% 27.2% → 33.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.22%	÷0.978	×1.200	—	—	33.41%
BB% (unintentional) /PA	14.87%	÷1.078	×0.690	—	×0.982	9.35%
HBP% /PA	1.90%	—	×0.940	—	×0.982	1.75%
Singles /BIP	18.97%	÷0.967	×0.930	×0.957	×0.982	17.15%
Doubles /BIP	8.05%	÷0.971	×0.830	×0.957	×0.982	6.47%
Triples /BIP	1.15%	÷0.996	×0.970	×0.957	×0.982	1.05%
Home runs /BIP	6.90%	÷1.152	×0.700	—	×0.982	4.11%

Factors used: league row International League. Park (home-season share, regressed): HR 130, 1B 93, 2B 94, 3B 99, K 96, BB 116 — 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 ×0.957.

Result: wOBA .353 → .263; ISO .208 → .141; BABIP .297 → .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).

2022 AAAIowa Cubs · 265 PAwOBA .266 → .210 (−56)K% 34.7% → 42.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.72%	÷0.988	×1.200	—	—	42.16%
BB% (unintentional) /PA	9.43%	÷1.048	×0.690	—	×0.992	6.16%
HBP% /PA	2.26%	—	×0.940	—	×0.992	2.11%
Singles /BIP	21.43%	÷0.985	×0.930	×1.031	×0.992	20.68%
Doubles /BIP	5.71%	÷0.967	×0.830	×1.031	×0.992	5.01%
Triples /BIP	0.00%	÷1.118	×0.970	×1.031	×0.992	0.00%
Home runs /BIP	4.29%	÷0.996	×0.700	—	×0.992	2.99%

Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 97, 2B 93, 3B 124, K 98, 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.031.

Result: wOBA .266 → .210; ISO .112 → .079; BABIP .279 → .261. 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 AAAScranton/Wilkes-Barre RailRiders · 269 PAwOBA .318 → .258 (−60)K% 20.8% → 24.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.82%	÷1.007	×1.200	—	—	24.81%
BB% (unintentional) /PA	6.32%	÷1.066	×0.690	—	×1.033	4.23%
HBP% /PA	1.49%	—	×0.940	—	×1.033	1.44%
Singles /BIP	16.75%	÷1.019	×0.930	×0.950	×1.033	15.00%
Doubles /BIP	10.47%	÷1.009	×0.830	×0.950	×1.033	8.45%
Triples /BIP	0.52%	÷0.938	×0.970	×0.950	×1.033	0.53%
Home runs /BIP	4.19%	÷1.087	×0.840	—	×1.033	3.34%

Factors used: league row IL. Park (home-season share, regressed): HR 117, 1B 104, 2B 102, 3B 88, K 101, BB 113 — 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 ×0.950.

Result: wOBA .318 → .258; ISO .186 → .148; BABIP .288 → .247. 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 AAAScranton/Wilkes-Barre RailRiders · 216 PAwOBA .408 → .343 (−65)K% 24.1% → 28.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.07%	÷1.002	×1.200	—	—	28.84%
BB% (unintentional) /PA	10.65%	÷1.034	×0.690	—	×1.048	7.44%
HBP% /PA	0.93%	—	×0.940	—	×1.048	0.91%
Singles /BIP	23.19%	÷1.032	×0.930	×0.988	×1.048	21.64%
Doubles /BIP	10.14%	÷1.004	×0.830	×0.988	×1.048	8.68%
Triples /BIP	2.17%	÷1.130	×0.970	×0.988	×1.048	1.93%
Home runs /BIP	7.25%	÷1.046	×0.840	—	×1.048	6.10%

Factors used: league row IL. Park (home-season share, regressed): HR 109, 1B 106, 2B 101, 3B 126, K 100, BB 107 — 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 ×0.988.

Result: wOBA .408 → .343; ISO .263 → .220; BABIP .380 → .341. 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 A+Tampa Tarpons · 26 PAwOBA .375 → .325 (−50)K% 11.5% → 16.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.54%	÷1.004	×1.420	—	—	16.31%
BB% (unintentional) /PA	15.38%	÷1.015	×0.750	—	×0.988	11.23%
HBP% /PA	3.85%	—	×0.930	—	×0.988	3.53%
Singles /BIP	17.65%	÷1.003	×0.920	—	×0.988	16.00%
Doubles /BIP	5.88%	÷0.891	×0.960	—	×0.988	6.26%
Triples /BIP	0.00%	÷0.983	×0.810	—	×0.988	0.00%
Home runs /BIP	5.88%	÷1.205	×0.880	—	×0.988	4.24%

Factors used: league row FSL. Park (home-season share, regressed): HR 141, 1B 101, 2B 78, 3B 97, K 101, BB 103 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).

Result: wOBA .375 → .325; ISO .200 → .170; BABIP .235 → .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).

2017 AAAScranton/Wilkes-Barre RailRiders · 320 PAwOBA .353 → .301 (−52)K% 21.6% → 26.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.56%	÷0.995	×1.200	—	—	26.01%
BB% (unintentional) /PA	10.94%	÷1.105	×0.690	—	×1.050	7.17%
HBP% /PA	0.94%	—	×0.940	—	×1.050	0.93%
Singles /BIP	18.14%	÷0.980	×0.930	×0.988	×1.050	17.86%
Doubles /BIP	9.31%	÷0.951	×0.830	×0.988	×1.050	8.44%
Triples /BIP	0.98%	÷1.150	×0.970	×0.988	×1.050	0.86%
Home runs /BIP	5.88%	÷1.247	×0.840	—	×1.050	4.16%

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 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.988.

Result: wOBA .353 → .301; ISO .216 → .175; BABIP .291 → .274. 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 AAAkron RubberDucks · 391 PAwOBA .355 → .320 (−35)K% 22.0% → 26.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.99%	÷0.997	×1.220	—	—	26.91%
BB% (unintentional) /PA	10.49%	÷0.950	×0.700	—	×1.042	8.05%
HBP% /PA	0.77%	—	×0.850	—	×1.042	0.68%
Singles /BIP	21.57%	÷1.014	×0.970	×1.029	×1.042	22.14%
Doubles /BIP	9.80%	÷1.015	×0.860	×1.029	×1.042	8.91%
Triples /BIP	0.39%	÷1.150	×0.950	×1.029	×1.042	0.35%
Home runs /BIP	5.10%	÷0.949	×0.780	—	×1.042	4.37%

Factors used: league row EL. Park (home-season share, regressed): HR 90, 1B 103, 2B 103, 3B 130, K 99, BB 90 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .355 → .320; ISO .194 → .168; BABIP .331 → .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).

2016 AAAScranton/Wilkes-Barre RailRiders · 129 PAwOBA .282 → .248 (−34)K% 27.9% → 33.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.91%	÷0.994	×1.200	—	—	33.68%
BB% (unintentional) /PA	5.43%	÷0.977	×0.690	—	×1.050	4.03%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	22.09%	÷0.991	×0.930	×0.976	×1.050	21.26%
Doubles /BIP	2.33%	÷1.059	×0.830	×0.976	×1.050	1.87%
Triples /BIP	4.65%	÷0.900	×0.970	×0.976	×1.050	5.14%
Home runs /BIP	3.49%	÷0.996	×0.840	—	×1.050	3.09%

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 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.976.

Result: wOBA .282 → .248; ISO .156 → .141; BABIP .301 → .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).

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