Austin Romine

PosC

B/TR/R

Born1988-11-22

Age (2027)38

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2020	31	MLBDET	135	.238/.261/.323	2	0	65	-0.2
2021	32	MLBCHC	62	.217/.242/.300	1	0	51	-0.0
2022	33	AAASTL	61	.291/.350/.382	1	0	51	—	.246/.283/.333
2022	33	MLBCIN	136	.155/.187/.248	3	0	14	-1.1
2023	34	No MLB games played
2024	35	No MLB games played
2025	36	No MLB games played
2026	37	No MLB games played

Last 3 seasons WAR -1.3

Contract

No contract data on file.

Skills · percentileStatcast 2020-2022

Avg EV29

Barrel%24

xwOBA10

Speed10

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
2008	19	A	Charleston RiverDogs	—	436	407	122	24	1	10	25	56	3	3	0	300	345	437	782	138	327	13	6	348	84	—	—	—	—	—	—
2009	20	A+	Tampa Yankees	—	481	442	122	28	3	13	29	78	4	11	5	276	326	441	767	165	305	16	6	336	79	—	—	—	—	—	—
2010	21	AA	Trenton Thunder	—	497	455	122	31	0	10	37	94	2	2	0	268	326	402	728	134	316	19	7	324	84	—	—	—	—	—	—
2010	21	INTL	Phoenix Desert Dogs	—	64	61	17	3	0	0	3	13	0	1	0	279	312	328	640	49	354	20	5	291	83	—	—	—	—	—	—
2011	22	MLB	New York Yankees	—	20	19	3	0	0	0	1	5	0	0	0	158	200	158	358		214	25	5	171	2	-2	+0	+0	+7	+0	0.6
2011	22	AAA	Scranton/Wilkes-Barre Yankees	—	15	15	2	0	0	0	0	3	0	0	0	133	133	133	267		167	20	0	121	-39	—	—	—	—	—	—
2011	22	AA	Trenton Thunder	—	373	336	96	13	0	6	32	60	3	2	2	286	353	378	731	92	331	16	9	331	84	—	—	—	—	—	—
2012	23	AAA	Scranton/Wilkes-Barre Yankees	—	71	61	13	2	0	3	8	10	0	0	0	213	304	393	698	180	200	14	11	305	72	—	—	—	—	—	—
2012	23	A+	Tampa Yankees	—	19	18	7	0	0	1	1	3	0	0	0	389	421	556	977	167	429	16	5	432	116	—	—	—	—	—	—
2012	23	ROK	GCL Yankees	—	30	24	5	3	0	0	5	3	1	0	0	208	367	333	700	125	238	10	17	330	37	—	—	—	—	—	—
2012	23	INTL	Scottsdale Scorpions	—	76	63	14	4	0	0	12	13	0	0	1	222	347	286	632	63	275	17	16	297	87	—	—	—	—	—	—
2013	24	MLB	New York Yankees	—	148	135	28	9	0	1	8	37	1	1	0	207	257	296	553	89	276	25	5	245	52	-8	+0	+3	+3	+3	0.2
2013	24	AAA	Scranton/Wilkes-Barre RailRiders	—	46	42	14	0	0	1	4	12	0	0	0	333	391	405	796	71	448	26	9	362	101	—	—	—	—	—	—
2014	25	AAA	Scranton/Wilkes-Barre RailRiders	—	313	285	69	17	0	6	24	54	0	1	0	242	301	365	666	123	279	17	8	296	61	—	—	—	—	—	—
2015	26	AAA	Scranton/Wilkes-Barre RailRiders	—	366	338	88	19	0	7	22	53	4	0	1	260	313	379	692	118	289	14	6	310	68	—	—	—	—	—	—
2016	27	MLB	New York Yankees	—	176	165	40	11	0	4	7	31	0	1	0	242	273	382	655	139	271	18	4	284	74	-5	+0	-2	+3	+4	0.0
2017	28	MLB	New York Yankees	—	252	229	50	9	1	2	16	57	2	0	0	218	275	293	568	74	277	23	6	255	59	-12	+0	+5	+4	+5	0.2
2018	29	MLB	New York Yankees	—	265	242	59	12	0	10	17	67	2	1	0	244	299	417	716	174	292	25	6	313	95	-1	+0	+14	+5	+6	2.3
2019	30	MLB	New York Yankees	—	240	228	64	12	0	8	10	50	0	1	1	281	311	439	750	158	327	21	4	329	106	+2	-0	+3	+4	+5	1.5
2020	31	MLB	Detroit Tigers	—	135	130	31	5	0	2	4	47	0	0	0	238	261	323	584	85	354	35	3	260	65	-6	+0	-1	+2	+3	-0.2
2021	32	MLB	Chicago Cubs	—	62	60	13	2	0	1	2	22	0	0	0	217	242	300	542	83	324	35	3	243	51	-4	+0	+1	+1	+1	-0.0
2022	33	MLB	Cincinnati Reds	—	136	129	20	3	0	3	4	46	1	0	0	155	187	248	435	93	212	34	3	193	14	-14	+0	-4	+4	+3	-1.1
2022	33	AAA	Memphis Redbirds	—	61	55	16	2	0	1	5	12	0	0	0	291	350	382	732	91	357	20	8	326	51	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1434	1337	308	63	1	31	69	362	6	4	1	230	271	349	620	118	290	25	5	274	71	-49	+0	+19	+34	+31	3.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	19	A MLE	Charleston RiverDogs	—	436	415	110	20	1	8	17	75	3	3	0	265	299	376	675	111	304	17	4	293	84	—	—	—	—	—	—
2009	20	A+ MLE	Tampa Yankees	—	481	450	106	25	2	11	21	111	4	11	5	236	276	373	649	138	281	23	4	285	79	—	—	—	—	—	—
2010	21	AA MLE	Trenton Thunder	—	497	467	121	28	0	9	25	111	2	2	0	259	300	377	676	118	316	22	5	293	84	—	—	—	—	—	—
2011	22	MLB MLE	New York Yankees	—	20	19	3	0	0	0	1	5	0	0	0	158	200	158	358		214	25	5	171	2	-2	+0	+0	+7	+0	0.6
2011	22	AAA MLE	Scranton/Wilkes-Barre Yankees	—	15	15	2	0	0	0	0	4	0	0	0	133	133	133	267		167	27	0	111	-39	—	—	—	—	—	—
2011	22	AA MLE	Trenton Thunder	—	373	346	93	11	0	6	22	76	3	2	2	269	318	353	671	84	321	20	6	293	84	—	—	—	—	—	—
2012	23	AAA MLE	Scranton/Wilkes-Barre Yankees	—	71	63	13	2	0	3	6	12	0	0	0	206	275	381	656	175	185	17	8	274	72	—	—	—	—	—	—
2012	23	A+ MLE	Tampa Yankees	—	19	18	6	0	0	1	1	4	0	0	0	333	368	500	868	167	369	21	5	339	116	—	—	—	—	—	—
2012	23	ROK MLE	GCL Yankees	—	30	26	4	2	0	0	3	4	1	0	0	154	267	231	497	77	173	13	10	223	37	—	—	—	—	—	—
2013	24	MLB MLE	New York Yankees	—	148	135	28	9	0	1	8	37	1	1	0	207	257	296	553	89	276	25	5	245	52	-8	+0	+3	+3	+3	0.2
2013	24	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	46	43	13	0	0	1	3	14	0	0	0	302	348	372	720	70	442	30	7	317	101	—	—	—	—	—	—
2014	25	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	313	293	66	16	0	5	16	67	0	1	0	225	265	331	596	106	269	21	5	258	61	—	—	—	—	—	—
2015	26	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	366	347	82	18	0	7	13	64	4	0	1	236	272	349	621	112	267	17	4	268	68	—	—	—	—	—	—
2016	27	MLB MLE	New York Yankees	—	176	166	40	11	0	4	6	31	0	1	0	241	267	380	647	139	271	18	3	278	74	-5	+0	-2	+3	+4	0.0
2017	28	MLB MLE	New York Yankees	—	252	229	50	9	1	2	16	57	2	0	0	218	275	293	568	74	277	23	6	255	59	-12	+0	+5	+4	+5	0.2
2018	29	MLB MLE	New York Yankees	—	265	242	58	12	0	9	17	67	2	1	0	240	295	401	696	161	292	25	6	309	95	-1	+0	+14	+5	+6	2.3
2019	30	MLB MLE	New York Yankees	—	240	228	63	12	0	7	10	50	0	1	1	276	307	421	728	145	327	21	4	325	106	+2	-0	+3	+4	+5	1.5
2020	31	MLB MLE	Detroit Tigers	—	135	130	31	5	0	2	4	47	0	0	0	238	261	323	584	85	354	35	3	264	65	-6	+0	-1	+2	+3	-0.2
2021	32	MLB MLE	Chicago Cubs	—	62	60	13	2	0	1	2	22	0	0	0	217	242	300	542	83	324	35	3	243	51	-4	+0	+1	+1	+1	-0.0
2022	33	MLB MLE	Cincinnati Reds	—	136	129	20	3	0	3	4	46	1	0	0	155	187	248	435	93	212	34	3	189	14	-14	+0	-4	+4	+3	-1.1
2022	33	AAA MLE	Memphis Redbirds	—	61	57	14	2	0	1	3	15	0	0	0	246	283	333	617	88	291	25	5	244	51	—	—	—	—	—	—
2008	19	A MLE	Charleston RiverDogs	—	436	415	110	20	1	8	17	75	3	3	0	265	299	376	675	111	306	17	4	293	84	—	—	—	—	—	—
2008	19	A RAW	Charleston RiverDogs	—	436	407	122	24	1	10	25	56	3	3	0	300	345	437	782	138	327	13	6	348	84	—	—	—	—	—	—
2009	20	A+ MLE	Tampa Yankees	—	481	450	106	25	2	11	21	111	4	11	5	236	276	373	649	138	284	23	4	285	79	—	—	—	—	—	—
2009	20	A+ RAW	Tampa Yankees	—	481	442	122	28	3	13	29	78	4	11	5	276	326	441	767	165	305	16	6	336	79	—	—	—	—	—	—
2010	21	AA MLE	2 teams	—	561	528	136	32	0	10	28	126	2	3	0	258	297	375	672	117	319	22	5	293	84	—	—	—	—	—	—
2010	21	AA RAW	2 teams	—	561	516	139	34	0	10	40	107	2	3	0	269	324	393	718	124	321	19	7	321	84	—	—	—	—	—	—
2011	22	AA MLE	3 teams	—	408	380	97	11	0	6	23	84	3	2	2	255	303	332	635	76	312	21	6	280	76	—	—	—	—	—	—
2011	22	AA RAW	3 teams	—	408	370	101	13	0	6	33	68	3	2	2	273	337	357	694	84	319	17	8	315	76	—	—	—	—	—	—
2012	23	INTL MLE	4 teams	—	196	177	36	6	0	6	15	34	1	0	1	203	269	339	608	136	214	17	8	272	70	—	—	—	—	—	—
2012	23	INTL RAW	4 teams	—	196	166	39	9	0	4	26	29	1	0	1	235	342	361	703	127	257	15	13	318	70	—	—	—	—	—	—
2013	24	MLB MLE	2 teams	—	194	178	41	9	0	2	11	51	1	1	0	230	279	315	594	84	310	26	6	262	64	-8	+0	+3	+3	+4	0.3
2013	24	MLB RAW	2 teams	—	194	177	42	9	0	2	12	49	1	1	0	237	289	322	612	85	315	25	6	273	64	-8	+0	+3	+3	+4	0.3
2014	25	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	313	293	66	16	0	5	16	67	0	1	0	225	265	331	596	106	275	21	5	258	61	—	—	—	—	—	—
2014	25	AAA RAW	Scranton/Wilkes-Barre RailRiders	—	313	285	69	17	0	6	24	54	0	1	0	242	301	365	666	123	279	17	8	296	61	—	—	—	—	—	—
2015	26	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	366	347	82	18	0	7	13	64	4	0	1	236	272	349	621	112	270	17	4	268	68	—	—	—	—	—	—
2015	26	AAA RAW	Scranton/Wilkes-Barre RailRiders	—	366	338	88	19	0	7	22	53	4	0	1	260	313	379	692	118	289	14	6	310	68	—	—	—	—	—	—
2016	27	MLB MLE	New York Yankees	—	176	166	40	11	0	4	6	31	0	1	0	241	267	380	647	139	269	18	3	278	74	-5	+0	-2	+3	+4	0.0
2016	27	MLB RAW	New York Yankees	—	176	165	40	11	0	4	7	31	0	1	0	242	273	382	655	139	271	18	4	284	74	-5	+0	-2	+3	+4	0.0
2017	28	MLB MLE	New York Yankees	—	252	229	50	9	1	2	16	57	2	0	0	218	275	293	568	74	277	23	6	255	59	-12	+0	+5	+4	+5	0.2
2017	28	MLB RAW	New York Yankees	—	252	229	50	9	1	2	16	57	2	0	0	218	275	293	568	74	277	23	6	255	59	-12	+0	+5	+4	+5	0.2
2018	29	MLB MLE	New York Yankees	—	265	242	58	12	0	9	17	67	2	1	0	240	295	401	696	161	290	25	6	309	95	-1	+0	+14	+5	+6	2.3
2018	29	MLB RAW	New York Yankees	—	265	242	59	12	0	10	17	67	2	1	0	244	299	417	716	174	292	25	6	313	95	-1	+0	+14	+5	+6	2.3
2019	30	MLB MLE	New York Yankees	—	240	228	63	12	0	7	10	50	0	1	1	276	307	421	728	145	326	21	4	325	106	+2	-0	+3	+4	+5	1.5
2019	30	MLB RAW	New York Yankees	—	240	228	64	12	0	8	10	50	0	1	1	281	311	439	750	158	327	21	4	329	106	+2	-0	+3	+4	+5	1.5
2020	31	MLB MLE	Detroit Tigers	—	135	130	31	5	0	2	4	47	0	0	0	238	261	323	584	85	354	35	3	264	65	-6	+0	-1	+2	+3	-0.2
2020	31	MLB RAW	Detroit Tigers	—	135	130	31	5	0	2	4	47	0	0	0	238	261	323	584	85	354	35	3	260	65	-6	+0	-1	+2	+3	-0.2
2021	32	MLB MLE	Chicago Cubs	—	62	60	13	2	0	1	2	22	0	0	0	217	242	300	542	83	324	35	3	243	51	-4	+0	+1	+1	+1	-0.0
2021	32	MLB RAW	Chicago Cubs	—	62	60	13	2	0	1	2	22	0	0	0	217	242	300	542	83	324	35	3	243	51	-4	+0	+1	+1	+1	-0.0
2022	33	MLB MLE	2 teams	—	197	186	33	5	0	3	7	61	1	0	0	177	211	253	464	75	246	31	4	206	26	-17	+0	-4	+4	+4	-1.4
2022	33	MLB RAW	2 teams	—	197	184	36	5	0	4	9	58	1	0	0	196	237	288	525	92	262	29	5	234	26	-17	+0	-4	+4	+4	-1.4
2008	19	A MLE	Charleston RiverDogs	—	436	413	110	20	1	8	17	75	3	3	0	266	299	378	677	111	304	17	4	293	84	—	—	—	—	—	—
2009	20	A+ MLE	Tampa Yankees	—	481	453	106	25	2	11	21	111	4	11	5	234	276	371	647	137	281	23	4	285	79	—	—	—	—	—	—
2010	21	AA MLE	2 teams	—	561	526	136	32	0	10	28	126	2	3	0	259	297	376	674	118	316	22	5	293	84	—	—	—	—	—	—
2011	22	AA MLE	3 teams	—	408	379	97	11	0	6	23	84	3	2	2	256	303	332	635	77	310	21	6	280	76	—	—	—	—	—	—
2012	23	INTL MLE	4 teams	—	196	178	36	6	0	6	15	34	1	0	1	202	269	337	607	135	211	17	8	272	70	—	—	—	—	—	—
2013	24	MLB MLE	2 teams	—	194	180	41	9	0	2	11	51	1	1	0	228	279	311	590	83	315	26	6	262	64	—	—	—	—	—	—
2014	25	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	313	294	66	16	0	5	16	67	0	1	0	224	265	330	595	105	269	21	5	258	61	—	—	—	—	—	—
2015	26	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	366	346	82	18	0	7	13	64	4	0	1	237	272	350	622	113	267	17	4	268	68	—	—	—	—	—	—
2016	27	MLB MLE	New York Yankees	—	176	168	40	11	0	4	6	31	0	1	0	238	267	375	642	137	271	18	3	278	74	—	—	—	—	—	—
2017	28	MLB MLE	New York Yankees	—	252	232	50	9	1	2	16	57	2	0	0	216	275	289	564	73	277	23	6	255	59	—	—	—	—	—	—
2018	29	MLB MLE	New York Yankees	—	265	244	58	12	0	9	17	67	2	1	0	238	295	398	693	160	292	25	6	309	95	—	—	—	—	—	—
2019	30	MLB MLE	New York Yankees	—	240	228	63	12	0	7	10	50	0	1	1	276	307	421	728	145	327	21	4	325	106	—	—	—	—	—	—
2020	31	MLB MLE	Detroit Tigers	—	135	130	31	5	0	2	4	47	0	0	0	238	261	323	584	85	354	35	3	264	65	—	—	—	—	—	—
2021	32	MLB MLE	Chicago Cubs	—	62	60	13	2	0	1	2	22	0	0	0	217	242	300	542	83	324	35	3	243	51	—	—	—	—	—	—
2022	33	MLB MLE	2 teams	—	197	187	33	5	0	3	7	61	1	0	0	176	211	251	463	75	237	31	4	206	26	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1434	1337	308	63	1	31	69	362	6	4	1	230	271	349	620	118	290	25	5	274	74	-49	+0	+19	+34	+31	3.7
/ 162G	—	A+C		—	650	606	140	29	0	14	31	164	3	2	0	231	272	348	620	117	291	25	5	274	74	-22	+0	+9	+16	+14	1.7
Career	—	MLE		—	4282	4009	962	193	4	83	206	947	23	24	10	240	281	352	633	112	292	22	5	278	74	-49	+0	+19	+34	+31	3.7
/ 162G	—	MLE		—	650	609	147	29	1	13	31	144	3	4	2	241	281	356	638	115	293	22	5	278	74	-22	+0	+9	+16	+14	1.7

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.

2022 AAAMemphis Redbirds · 61 PAwOBA .318 → .244 (−74)K% 19.7% → 24.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.67%	÷0.976	×1.200	—	—	24.20%
BB% (unintentional) /PA	8.20%	÷1.053	×0.690	—	×0.940	5.05%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	30.23%	÷1.051	×0.930	—	×0.940	25.16%
Doubles /BIP	4.65%	÷1.019	×0.830	—	×0.940	3.56%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.940	0.00%
Home runs /BIP	2.33%	÷1.048	×0.700	—	×0.940	1.46%

Factors used: league row International League. Park (home-season share, regressed): HR 110, 1B 110, 2B 104, 3B 130, K 95, BB 111 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average).

Result: wOBA .318 → .244; ISO .091 → .062; BABIP .357 → .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).

2015 AAAScranton/Wilkes-Barre RailRiders · 366 PAwOBA .302 → .268 (−34)K% 14.5% → 17.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.48%	÷0.991	×1.200	—	—	17.54%
BB% (unintentional) /PA	5.74%	÷1.139	×0.690	—	×1.003	3.49%
HBP% /PA	1.09%	—	×0.940	—	×1.003	1.03%
Singles /BIP	21.75%	÷1.011	×0.930	×1.000	×1.003	20.08%
Doubles /BIP	6.67%	÷0.903	×0.830	×1.000	×1.003	6.15%
Triples /BIP	0.00%	÷1.150	×0.970	×1.000	×1.003	0.00%
Home runs /BIP	2.46%	÷0.878	×0.840	—	×1.003	2.36%

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 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 ×1.000.

Result: wOBA .302 → .268; ISO .118 → .112; BABIP .289 → .267. 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 AAAScranton/Wilkes-Barre RailRiders · 313 PAwOBA .288 → .258 (−30)K% 17.3% → 21.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.25%	÷0.970	×1.200	—	—	21.35%
BB% (unintentional) /PA	7.35%	÷0.985	×0.690	—	×1.018	5.24%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	19.91%	÷0.984	×0.930	×1.026	×1.018	19.65%
Doubles /BIP	7.36%	÷0.936	×0.830	×1.026	×1.018	6.81%
Triples /BIP	0.00%	÷0.954	×0.970	×1.026	×1.018	0.00%
Home runs /BIP	2.60%	÷1.067	×0.840	—	×1.018	2.08%

Factors used: league row IL. Park (home-season share, regressed): HR 113, 1B 97, 2B 87, 3B 91, K 94, BB 97 — 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 ×1.026.

Result: wOBA .288 → .258; ISO .123 → .105; BABIP .279 → .269. 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 AAAScranton/Wilkes-Barre RailRiders · 46 PAwOBA .352 → .317 (−35)K% 26.1% → 31.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.09%	÷1.010	×1.200	—	—	30.99%
BB% (unintentional) /PA	8.70%	÷1.015	×0.690	—	×1.033	6.11%
HBP% /PA	0.00%	—	×0.940	—	×1.033	0.00%
Singles /BIP	43.33%	÷0.971	×0.930	—	×1.033	42.86%
Doubles /BIP	0.00%	÷1.026	×0.830	—	×1.033	0.00%
Triples /BIP	0.00%	÷1.000	×0.970	—	×1.033	0.00%
Home runs /BIP	3.33%	÷0.976	×0.840	—	×1.033	2.97%

Factors used: league row IL. Park (home-season share, regressed): HR 95, 1B 94, 2B 105, 3B 100, K 102, 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).

Result: wOBA .352 → .317; ISO .071 → .061; BABIP .448 → .442. 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 AAAScranton/Wilkes-Barre Yankees · 71 PAwOBA .305 → .274 (−32)K% 14.1% → 17.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.08%	÷0.988	×1.200	—	—	17.10%
BB% (unintentional) /PA	11.27%	÷1.012	×0.690	—	×1.048	8.05%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	15.69%	÷1.006	×0.930	×0.988	×1.048	15.01%
Doubles /BIP	3.92%	÷1.076	×0.830	×0.988	×1.048	3.13%
Triples /BIP	0.00%	÷0.926	×0.970	×0.988	×1.048	0.00%
Home runs /BIP	5.88%	÷0.945	×0.840	—	×1.048	5.48%

Factors used: league row IL. Park (home-season share, regressed): HR 89, 1B 101, 2B 115, 3B 85, K 98, BB 102 — 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 .305 → .274; ISO .180 → .171; BABIP .200 → .185. 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 ROKGCL Yankees · 30 PAwOBA .322 → .223 (−100)K% 10.0% → 14.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.00%	÷1.000	×1.440	—	—	14.40%
BB% (unintentional) /PA	16.67%	÷1.000	×0.620	—	×0.955	9.87%
HBP% /PA	3.33%	—	×0.720	—	×0.955	2.29%
Singles /BIP	9.52%	÷1.000	×0.820	—	×0.955	7.46%
Doubles /BIP	14.29%	÷1.000	×0.720	—	×0.955	9.82%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.955	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.955	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 24 vs a level average of 19.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average).

Result: wOBA .322 → .223; ISO .125 → .090; BABIP .238 → .173. 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 A+Tampa Yankees · 19 PAwOBA .420 → .339 (−81)K% 15.8% → 22.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.79%	÷0.984	×1.420	—	—	22.80%
BB% (unintentional) /PA	5.26%	÷1.160	×0.750	—	×0.988	3.36%
HBP% /PA	0.00%	—	×0.930	—	×0.988	0.00%
Singles /BIP	40.00%	÷1.050	×0.920	—	×0.988	34.63%
Doubles /BIP	0.00%	÷1.081	×0.960	—	×0.988	0.00%
Triples /BIP	0.00%	÷0.900	×0.810	—	×0.988	0.00%
Home runs /BIP	6.67%	÷0.949	×0.880	—	×0.988	6.11%

Factors used: league row FSL. Park (home-season share, regressed): HR 90, 1B 110, 2B 116, 3B 80, K 97, BB 132 — 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 .420 → .339; ISO .167 → .143; BABIP .429 → .369. 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).

2011 AATrenton Thunder · 373 PAwOBA .323 → .293 (−30)K% 16.1% → 20.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.09%	÷0.965	×1.220	—	—	20.34%
BB% (unintentional) /PA	8.31%	÷1.039	×0.700	—	×1.027	5.75%
HBP% /PA	0.80%	—	×0.850	—	×1.027	0.70%
Singles /BIP	27.90%	÷0.982	×0.970	×0.978	×1.027	27.68%
Doubles /BIP	4.71%	÷1.017	×0.860	×0.978	×1.027	4.00%
Triples /BIP	0.00%	÷1.150	×0.950	×0.978	×1.027	0.00%
Home runs /BIP	2.17%	÷0.809	×0.780	—	×1.027	2.15%

Factors used: league row EL. Park (home-season share, regressed): HR 62, 1B 96, 2B 103, 3B 130, K 93, BB 108 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.978.

Result: wOBA .323 → .293; ISO .092 → .085; BABIP .331 → .321. 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 — .