Yan Gomes

PosC

B/TR/R

Born1987-07-19

Age (2027)40

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	35	MLBCHC	293	.235/.264/.365	8	2	72	1.0
2023	36	MLBCHC	419	.267/.320/.408	10	1	101	1.8
2024	37	MLBCHC	96	.154/.181/.242	2	0	13	-1.1
2025	38	No MLB games played
2026	39	No MLB games played

Last 3 seasons WAR 1.7

Contract

No contract data on file.

Skills · percentileStatcast 2022-2024

xwOBA44

Barrel%37

Speed26

Bat Spd25

Avg EV17

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)
2009	22	ROK	GCL Blue Jays	—	17	14	5	0	0	0	3	2	0	0	0	357	471	357	828		417	12	18	389	80	—	—	—	—	—	—
2010	23	A+	Dunedin Blue Jays	—	247	233	64	21	1	9	9	64	4	0	0	275	313	489	802	215	342	26	4	350	62	—	—	—	—	—	—
2010	23	A	Lansing Lugnuts	—	31	26	6	2	0	0	3	11	0	0	0	231	310	308	618	77	353	35	10	267	26	—	—	—	—	—	—
2011	24	AAA	Las Vegas 51s	—	15	14	3	1	0	0	1	4	0	0	0	214	267	286	552	71	300	27	7	253	19	—	—	—	—	—	—
2011	24	AA	New Hampshire Fisher Cats	—	309	276	69	18	1	13	25	75	4	0	0	250	321	464	785	214	292	24	8	342	77	—	—	—	—	—	—
2011	24	INTL	Phoenix Desert Dogs	—	73	63	19	4	0	1	8	16	2	0	0	302	397	413	810	111	391	22	11	369	136	—	—	—	—	—	—
2012	25	MLB	Toronto Blue Jays	—	111	98	20	4	0	4	6	32	3	0	0	204	271	367	638	163	246	29	5	277	73	-4	+0	+1	-9	+2	-0.9
2012	25	AAA	Las Vegas 51s	—	335	305	100	29	1	13	25	72	2	4	0	328	381	557	939	230	392	21	7	407	99	—	—	—	—	—	—
2012	25	INTL	Toros del Este	—	67	59	11	2	0	4	5	13	2	1	0	186	273	424	696	237	163	19	7	304	92	—	—	—	—	—	—
2013	26	MLB	Cleveland Indians	—	322	293	86	18	2	11	18	67	7	2	0	294	349	481	830	188	342	21	6	362	132	+12	+0	+22	+6	+7	4.9
2013	26	AAA	Columbus Clippers	—	24	20	6	4	0	0	4	4	0	0	0	300	417	500	917	200	375	17	17	406	121	—	—	—	—	—	—
2014	27	MLB	Cleveland Indians	—	518	485	135	25	3	21	24	120	3	0	0	278	316	472	789	194	326	23	5	343	116	+10	+0	+19	+9	+11	5.0
2015	28	MLB	Cleveland Indians	—	389	363	84	22	0	12	13	104	7	0	0	231	272	391	663	160	285	27	3	290	80	-9	+0	+6	+7	+8	1.2
2015	28	AAA	Columbus Clippers	—	15	12	4	0	0	0	1	3	1	0	0	333	429	333	762		400	20	7	337	112	—	—	—	—	—	—
2016	29	MLB	Cleveland Indians	—	264	251	42	11	1	9	9	69	2	0	0	167	202	327	529	159	189	26	3	232	43	-18	+0	+6	+5	+6	-0.1
2017	30	MLB	Cleveland Indians	—	383	341	79	15	0	14	31	99	8	0	0	232	311	399	709	167	283	26	8	316	100	-0	+0	+14	+7	+8	2.9
2018	31	MLB	Cleveland Indians	—	435	403	107	26	0	16	21	119	8	0	0	266	315	449	764	184	336	27	5	336	110	+5	+0	+12	+8	+9	3.5
2019	32	MLB	Washington Nationals	—	358	314	70	16	0	12	38	84	5	2	0	223	317	389	705	166	265	23	11	318	93	-3	+0	+8	+6	+8	1.9
2020	33	MLB	Washington Nationals	—	119	109	31	6	1	4	6	22	1	1	0	284	328	468	795	183	314	18	5	342	119	+3	+0	+0	+2	+3	0.8
2021	34	MLB	Oakland Athletics	—	375	349	88	15	1	14	19	78	6	0	0	252	302	421	723	169	287	21	5	320	104	+2	+0	+13	+7	+8	3.0
2022	35	MLB	Chicago Cubs	—	293	277	65	12	0	8	8	47	3	2	0	235	264	365	629	130	252	16	3	275	72	-10	+0	+8	+5	+6	1.0
2023	36	MLB	Chicago Cubs	—	419	382	102	20	2	10	21	81	9	1	0	267	320	408	729	141	309	19	5	321	101	+1	+0	+0	+7	+9	1.8
2024	37	MLB	Chicago Cubs	—	96	91	14	2	0	2	2	36	1	0	0	154	181	242	423	88	222	38	2	187	13	-10	+0	-5	+2	+2	-1.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	4082	3756	923	192	10	137	216	958	63	8	0	246	298	412	710	166	291	23	5	312	97	-13	+2	+103	+62	+88	24.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	22	ROK MLE	GCL Blue Jays	—	17	15	4	0	0	0	2	3	0	0	0	267	353	267	620		333	18	12	286	80	—	—	—	—	—	—
2010	23	A+ MLE	Dunedin Blue Jays	—	247	235	49	16	1	7	7	91	4	0	0	209	244	374	618	166	298	37	3	260	62	—	—	—	—	—	—
2010	23	A MLE	Lansing Lugnuts	—	31	27	4	1	0	0	2	15	0	0	0	148	207	185	392	37	291	48	6	207	26	—	—	—	—	—	—
2011	24	AAA MLE	Las Vegas 51s	—	15	14	3	1	0	0	1	5	0	0	0	214	267	286	552	71	272	33	7	196	19	—	—	—	—	—	—
2011	24	AA MLE	New Hampshire Fisher Cats	—	309	286	63	16	1	10	15	90	4	0	0	220	269	388	657	168	268	29	5	282	77	—	—	—	—	—	—
2012	25	MLB MLE	Toronto Blue Jays	—	111	98	20	4	0	4	6	32	3	0	0	204	271	367	638	163	246	29	5	276	73	-4	+0	+1	-9	+2	-0.9
2012	25	AAA MLE	Las Vegas 51s	—	335	312	81	21	1	9	19	92	2	4	0	260	306	420	726	160	337	27	6	315	99	—	—	—	—	—	—
2013	26	MLB MLE	Cleveland Indians	—	322	293	86	18	2	11	18	67	7	2	0	294	349	481	830	188	342	21	6	363	132	+12	+0	+22	+6	+7	4.9
2013	26	AAA MLE	Columbus Clippers	—	24	21	6	4	0	0	3	5	0	0	0	286	375	476	851	190	347	21	12	347	121	—	—	—	—	—	—
2014	27	MLB MLE	Cleveland Indians	—	518	488	136	25	4	21	21	120	3	0	0	279	312	475	788	197	326	23	4	339	116	+10	+0	+19	+9	+11	5.0
2015	28	MLB MLE	Cleveland Indians	—	389	364	84	22	0	12	12	104	7	0	0	231	269	390	659	159	285	27	3	287	80	-9	+0	+6	+7	+8	1.2
2015	28	AAA MLE	Columbus Clippers	—	15	12	4	0	0	0	1	4	1	0	0	333	429	333	762		371	27	7	333	112	—	—	—	—	—	—
2016	29	MLB MLE	Cleveland Indians	—	264	251	42	11	1	9	9	69	2	0	0	167	202	327	529	159	189	26	3	232	43	-18	+0	+6	+5	+6	-0.1
2017	30	MLB MLE	Cleveland Indians	—	383	341	79	15	0	14	31	99	8	0	0	232	311	399	709	167	283	26	8	315	100	-0	+0	+14	+7	+8	2.9
2018	31	MLB MLE	Cleveland Indians	—	435	405	107	26	0	16	19	119	8	0	0	264	310	447	757	183	336	27	4	331	110	+5	+0	+12	+8	+9	3.5
2019	32	MLB MLE	Washington Nationals	—	358	320	70	16	0	12	32	84	5	2	0	219	300	381	681	162	265	23	9	305	93	-3	+0	+8	+6	+8	1.9
2020	33	MLB MLE	Washington Nationals	—	119	109	31	6	1	4	6	22	1	1	0	284	328	468	795	183	314	18	5	344	119	+3	+0	+0	+2	+3	0.8
2021	34	MLB MLE	Oakland Athletics	—	375	352	89	15	1	15	16	78	6	0	0	253	297	429	726	176	287	21	4	322	104	+2	+0	+13	+7	+8	3.0
2022	35	MLB MLE	Chicago Cubs	—	293	277	65	12	0	8	8	47	3	2	0	235	264	365	629	130	252	16	3	275	72	-10	+0	+8	+5	+6	1.0
2023	36	MLB MLE	Chicago Cubs	—	419	383	101	19	2	10	20	81	9	1	0	264	316	402	718	138	309	19	5	318	101	+1	+0	+0	+7	+9	1.8
2024	37	MLB MLE	Chicago Cubs	—	96	91	14	2	0	2	2	36	1	0	0	154	181	242	423	88	222	38	2	187	13	-10	+0	-5	+2	+2	-1.1
2009	22	ROK MLE	GCL Blue Jays	—	17	15	4	0	0	0	2	3	0	0	0	267	353	267	620		333	18	12	286	80	—	—	—	—	—	—
2009	22	ROK RAW	GCL Blue Jays	—	17	14	5	0	0	0	3	2	0	0	0	357	471	357	828		417	12	18	389	80	—	—	—	—	—	—
2010	23	A+ MLE	2 teams	—	278	262	54	17	1	7	9	106	4	0	0	206	244	359	602	153	309	38	3	254	58	—	—	—	—	—	—
2010	23	A+ RAW	2 teams	—	278	259	70	23	1	9	12	75	4	0	0	270	313	471	784	201	343	27	4	341	58	—	—	—	—	—	—
2011	24	AA MLE	3 teams	—	397	367	79	20	1	12	20	116	6	0	0	215	267	373	640	158	276	29	5	278	74	—	—	—	—	—	—
2011	24	AA RAW	3 teams	—	397	353	91	23	1	14	34	95	6	0	0	258	333	448	781	190	310	24	9	344	74	—	—	—	—	—	—
2012	25	AAA MLE	3 teams	—	513	471	117	29	1	15	28	143	7	5	0	248	300	410	710	161	320	28	5	305	93	—	—	—	—	—	—
2012	25	AAA RAW	3 teams	—	513	462	131	35	1	21	36	117	7	5	0	284	344	500	844	216	333	23	7	365	93	—	—	—	—	—	—
2013	26	MLB MLE	2 teams	—	346	314	91	21	2	11	21	72	7	2	0	290	348	475	822	185	340	21	6	362	131	+13	+0	+22	+6	+7	5.0
2013	26	MLB RAW	2 teams	—	346	313	92	22	2	11	22	71	7	2	0	294	354	482	836	188	345	21	6	365	131	+13	+0	+22	+6	+7	5.0
2014	27	MLB MLE	Cleveland Indians	—	518	488	136	25	4	21	21	120	3	0	0	279	312	475	788	197	326	23	4	339	116	+10	+0	+19	+9	+11	5.0
2014	27	MLB RAW	Cleveland Indians	—	518	485	135	25	3	21	24	120	3	0	0	278	316	472	789	194	326	23	5	343	116	+10	+0	+19	+9	+11	5.0
2015	28	MLB MLE	2 teams	—	404	376	88	22	0	12	13	108	8	0	0	234	275	388	663	154	289	27	3	288	81	-9	+0	+6	+7	+9	1.3
2015	28	MLB RAW	2 teams	—	404	375	88	22	0	12	14	107	8	0	0	235	277	389	666	155	289	26	3	291	81	-9	+0	+6	+7	+9	1.3
2016	29	MLB MLE	Cleveland Indians	—	264	251	42	11	1	9	9	69	2	0	0	167	202	327	529	159	189	26	3	232	43	-18	+0	+6	+5	+6	-0.1
2016	29	MLB RAW	Cleveland Indians	—	264	251	42	11	1	9	9	69	2	0	0	167	202	327	529	159	189	26	3	232	43	-18	+0	+6	+5	+6	-0.1
2017	30	MLB MLE	Cleveland Indians	—	383	341	79	15	0	14	31	99	8	0	0	232	311	399	709	167	283	26	8	315	100	-0	+0	+14	+7	+8	2.9
2017	30	MLB RAW	Cleveland Indians	—	383	341	79	15	0	14	31	99	8	0	0	232	311	399	709	167	283	26	8	316	100	-0	+0	+14	+7	+8	2.9
2018	31	MLB MLE	Cleveland Indians	—	435	405	107	26	0	16	19	119	8	0	0	264	310	447	757	183	333	27	4	331	110	+5	+0	+12	+8	+9	3.5
2018	31	MLB RAW	Cleveland Indians	—	435	403	107	26	0	16	21	119	8	0	0	266	315	449	764	184	336	27	5	336	110	+5	+0	+12	+8	+9	3.5
2019	32	MLB MLE	Washington Nationals	—	358	320	70	16	0	12	32	84	5	2	0	219	300	381	681	162	258	23	9	305	93	-3	+0	+8	+6	+8	1.9
2019	32	MLB RAW	Washington Nationals	—	358	314	70	16	0	12	38	84	5	2	0	223	317	389	705	166	265	23	11	318	93	-3	+0	+8	+6	+8	1.9
2020	33	MLB MLE	Washington Nationals	—	119	109	31	6	1	4	6	22	1	1	0	284	328	468	795	183	314	18	5	344	119	+3	+0	+0	+2	+3	0.8
2020	33	MLB RAW	Washington Nationals	—	119	109	31	6	1	4	6	22	1	1	0	284	328	468	795	183	314	18	5	342	119	+3	+0	+0	+2	+3	0.8
2021	34	MLB MLE	Oakland Athletics	—	375	352	89	15	1	15	16	78	6	0	0	253	297	429	726	176	285	21	4	322	104	+2	+0	+13	+7	+8	3.0
2021	34	MLB RAW	Oakland Athletics	—	375	349	88	15	1	14	19	78	6	0	0	252	302	421	723	169	287	21	5	320	104	+2	+0	+13	+7	+8	3.0
2022	35	MLB MLE	Chicago Cubs	—	293	277	65	12	0	8	8	47	3	2	0	235	264	365	629	130	252	16	3	275	72	-10	+0	+8	+5	+6	1.0
2022	35	MLB RAW	Chicago Cubs	—	293	277	65	12	0	8	8	47	3	2	0	235	264	365	629	130	252	16	3	275	72	-10	+0	+8	+5	+6	1.0
2023	36	MLB MLE	Chicago Cubs	—	419	383	101	19	2	10	20	81	9	1	0	264	316	402	718	138	304	19	5	318	101	+1	+0	+0	+7	+9	1.8
2023	36	MLB RAW	Chicago Cubs	—	419	382	102	20	2	10	21	81	9	1	0	267	320	408	729	141	309	19	5	321	101	+1	+0	+0	+7	+9	1.8
2024	37	MLB MLE	Chicago Cubs	—	96	91	14	2	0	2	2	36	1	0	0	154	181	242	423	88	222	38	2	187	13	-10	+0	-5	+2	+2	-1.1
2024	37	MLB RAW	Chicago Cubs	—	96	91	14	2	0	2	2	36	1	0	0	154	181	242	423	88	222	38	2	187	13	-10	+0	-5	+2	+2	-1.1
2009	22	ROK MLE	GCL Blue Jays	—	17	15	4	0	0	0	2	3	0	0	0	267	353	267	620		333	18	12	286	80	—	—	—	—	—	—
2010	23	A+ MLE	2 teams	—	278	263	54	17	1	7	9	106	4	0	0	205	244	357	601	152	297	38	3	254	58	—	—	—	—	—	—
2011	24	AA MLE	3 teams	—	397	368	79	20	1	12	20	116	6	0	0	215	267	372	639	158	268	29	5	278	74	—	—	—	—	—	—
2012	25	AAA MLE	3 teams	—	513	473	117	29	1	15	28	143	7	5	0	247	300	408	708	161	314	28	5	305	93	—	—	—	—	—	—
2013	26	MLB MLE	2 teams	—	346	315	91	21	2	11	21	72	7	2	0	289	348	473	821	184	343	21	6	362	131	—	—	—	—	—	—
2014	27	MLB MLE	Cleveland Indians	—	518	489	136	25	4	21	21	120	3	0	0	278	312	474	787	196	326	23	4	339	116	—	—	—	—	—	—
2015	28	MLB MLE	2 teams	—	404	380	88	22	0	12	13	108	8	0	0	232	275	384	659	153	288	27	3	288	81	—	—	—	—	—	—
2016	29	MLB MLE	Cleveland Indians	—	264	251	42	11	1	9	9	69	2	0	0	167	202	327	529	159	189	26	3	232	43	—	—	—	—	—	—
2017	30	MLB MLE	Cleveland Indians	—	383	341	79	15	0	14	31	99	8	0	0	232	311	399	709	167	283	26	8	315	100	—	—	—	—	—	—
2018	31	MLB MLE	Cleveland Indians	—	435	405	107	26	0	16	19	119	8	0	0	264	310	447	757	183	336	27	4	331	110	—	—	—	—	—	—
2019	32	MLB MLE	Washington Nationals	—	358	318	70	16	0	12	32	84	5	2	0	220	300	384	683	164	265	23	9	305	93	—	—	—	—	—	—
2020	33	MLB MLE	Washington Nationals	—	119	111	31	6	1	4	6	22	1	1	0	279	328	459	787	180	314	18	5	344	119	—	—	—	—	—	—
2021	34	MLB MLE	Oakland Athletics	—	375	350	89	15	1	15	16	78	6	0	0	254	297	431	728	177	287	21	4	322	104	—	—	—	—	—	—
2022	35	MLB MLE	Chicago Cubs	—	293	280	65	12	0	8	8	47	3	2	0	232	264	361	625	129	252	16	3	275	72	—	—	—	—	—	—
2023	36	MLB MLE	Chicago Cubs	—	419	387	101	19	2	10	20	81	9	1	0	261	316	398	713	137	309	19	5	318	101	—	—	—	—	—	—
2024	37	MLB MLE	Chicago Cubs	—	96	93	14	2	0	2	2	36	1	0	0	151	181	237	417	86	222	38	2	187	13	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	37	MLB MLE	Chicago Cubs	—	96	93	14	2	0	2	2	36	1	0	0	151	181	237	417	86	222	38	2	187	13	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4082	3756	923	192	10	137	216	958	63	8	0	246	298	412	710	166	291	23	5	312	92	-13	+2	+103	+62	+88	24.7
/ 162G	—	A+C		—	650	598	148	31	2	22	34	153	10	1	0	247	299	416	715	169	293	24	5	312	92	-2	+0	+16	+10	+14	3.9
Career	—	MLE		—	5215	4822	1167	256	14	168	257	1303	78	13	0	242	291	405	697	163	293	25	5	305	92	-13	+2	+103	+62	+88	24.7
/ 162G	—	MLE		—	650	601	146	32	2	21	32	162	10	2	0	243	292	408	700	165	294	25	5	305	92	-2	+0	+16	+10	+14	3.9

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.

2015 AAAColumbus Clippers · 15 PAwOBA .352 → .333 (−20)K% 20.0% → 23.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷1.009	×1.200	—	—	23.78%
BB% (unintentional) /PA	6.67%	÷1.068	×0.690	—	×0.992	4.27%
HBP% /PA	6.67%	—	×0.940	—	×0.992	6.22%
Singles /BIP	44.44%	÷1.005	×0.930	—	×0.992	40.82%
Doubles /BIP	0.00%	÷1.019	×0.830	—	×0.992	0.00%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.992	0.00%
Home runs /BIP	0.00%	÷1.217	×0.840	—	×0.992	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 143, 1B 101, 2B 104, 3B 80, K 102, BB 114 — 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).

Result: wOBA .352 → .333; ISO .000 → .000; BABIP .400 → .371. 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 AAAColumbus Clippers · 24 PAwOBA .396 → .347 (−49)K% 16.7% → 19.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷1.013	×1.200	—	—	19.74%
BB% (unintentional) /PA	16.67%	÷0.986	×0.690	—	×1.018	11.88%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	12.50%	÷0.980	×0.930	—	×1.018	12.07%
Doubles /BIP	25.00%	÷0.933	×0.830	—	×1.018	22.63%
Triples /BIP	0.00%	÷0.900	×0.970	—	×1.018	0.00%
Home runs /BIP	0.00%	÷1.111	×0.840	—	×1.018	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 122, 1B 96, 2B 87, 3B 80, K 103, 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).

Result: wOBA .396 → .347; ISO .200 → .186; BABIP .375 → .347. 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 AAALas Vegas 51s · 335 PAwOBA .398 → .315 (−83)K% 21.5% → 27.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.49%	÷1.004	×1.290	—	—	27.61%
BB% (unintentional) /PA	7.46%	÷0.985	×0.710	—	×1.033	5.56%
HBP% /PA	0.60%	—	×0.980	—	×1.033	0.60%
Singles /BIP	24.46%	÷0.985	×0.900	×0.984	×1.033	22.73%
Doubles /BIP	12.45%	÷1.085	×0.810	×0.984	×1.033	9.45%
Triples /BIP	0.43%	÷0.994	×0.810	×0.984	×1.033	0.36%
Home runs /BIP	5.58%	÷1.059	×0.780	—	×1.033	4.25%

Factors used: league row PCL. Park (home-season share, regressed): HR 112, 1B 97, 2B 117, 3B 99, K 101, BB 97 — 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 ×0.984.

Result: wOBA .398 → .315; ISO .230 → .167; BABIP .392 → .337. 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 AANew Hampshire Fisher Cats · 309 PAwOBA .336 → .282 (−54)K% 24.3% → 29.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.27%	÷1.021	×1.220	—	—	29.00%
BB% (unintentional) /PA	7.77%	÷1.096	×0.700	—	×1.012	5.02%
HBP% /PA	1.29%	—	×0.850	—	×1.012	1.11%
Singles /BIP	18.41%	÷1.001	×0.970	×0.982	×1.012	17.73%
Doubles /BIP	8.96%	÷0.979	×0.860	×0.982	×1.012	7.82%
Triples /BIP	0.50%	÷0.963	×0.950	×0.982	×1.012	0.49%
Home runs /BIP	6.47%	÷1.018	×0.780	—	×1.012	5.01%

Factors used: league row EL. Park (home-season share, regressed): HR 104, 1B 100, 2B 96, 3B 93, K 104, BB 119 — 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 ×0.982.

Result: wOBA .336 → .282; ISO .214 → .173; BABIP .292 → .268. 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 AAALas Vegas 51s · 15 PAwOBA .246 → .196 (−50)K% 26.7% → 34.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.67%	÷0.992	×1.290	—	—	34.67%
BB% (unintentional) /PA	6.67%	÷0.998	×0.710	—	×1.048	4.97%
HBP% /PA	0.00%	—	×0.980	—	×1.048	0.00%
Singles /BIP	20.00%	÷0.974	×0.900	—	×1.048	19.36%
Doubles /BIP	10.00%	÷1.082	×0.810	—	×1.048	7.85%
Triples /BIP	0.00%	÷1.123	×0.810	—	×1.048	0.00%
Home runs /BIP	0.00%	÷1.200	×0.780	—	×1.048	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 140, 1B 95, 2B 116, 3B 125, K 98, BB 100 — 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).

Result: wOBA .246 → .196; ISO .071 → .051; BABIP .300 → .272. 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).

2010 A+Dunedin Blue Jays · 247 PAwOBA .341 → .260 (−81)K% 25.9% → 36.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.91%	÷1.003	×1.420	—	—	36.67%
BB% (unintentional) /PA	3.64%	÷0.965	×0.750	—	×0.998	2.83%
HBP% /PA	1.62%	—	×0.930	—	×0.998	1.50%
Singles /BIP	19.53%	÷0.982	×0.920	×0.950	×0.998	17.34%
Doubles /BIP	12.43%	÷1.044	×0.960	×0.950	×0.998	10.83%
Triples /BIP	0.59%	÷1.150	×0.810	×0.950	×0.998	0.40%
Home runs /BIP	5.33%	÷0.994	×0.880	—	×0.998	4.71%

Factors used: league row FSL. Park (home-season share, regressed): HR 99, 1B 96, 2B 109, 3B 130, K 101, BB 93 — 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 ×0.950.

Result: wOBA .341 → .260; ISO .215 → .161; BABIP .342 → .298. 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).

2010 ALansing Lugnuts · 31 PAwOBA .279 → .207 (−72)K% 35.5% → 48.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.48%	÷1.003	×1.360	—	—	48.12%
BB% (unintentional) /PA	9.68%	÷1.033	×0.690	—	×0.990	6.40%
HBP% /PA	0.00%	—	×0.780	—	×0.990	0.00%
Singles /BIP	26.67%	÷1.039	×0.920	—	×0.990	23.37%
Doubles /BIP	13.33%	÷1.116	×0.830	—	×0.990	9.82%
Triples /BIP	0.00%	÷0.992	×0.910	—	×0.990	0.00%
Home runs /BIP	0.00%	÷0.891	×0.800	—	×0.990	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 78, 1B 108, 2B 123, 3B 98, K 101, BB 107 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average).

Result: wOBA .279 → .207; ISO .077 → .053; BABIP .353 → .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).

2009 ROKGCL Blue Jays · 17 PAwOBA .381 → .286 (−95)K% 11.8% → 16.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.76%	÷1.000	×1.440	—	—	16.94%
BB% (unintentional) /PA	17.65%	÷1.000	×0.620	—	×0.975	10.67%
HBP% /PA	0.00%	—	×0.720	—	×0.975	0.00%
Singles /BIP	41.67%	÷1.000	×0.820	—	×0.975	33.31%
Doubles /BIP	0.00%	÷1.000	×0.720	—	×0.975	0.00%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.975	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.975	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 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).

Result: wOBA .381 → .286; ISO .000 → .000; BABIP .417 → .333. 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 — .