Yermín Mercedes

PosDH

B/TR/R

Born1993-02-14

Age (2027)34

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2024

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2022	29	AAASF	267	.253/.352/.454	12	7	72	—	.204/.277/.338
2022	29	MLBSF	83	.233/.325/.342	1	0	96	-0.5
2023	30	INTLToros del Este	114	.170/.272/.250	1	0	54	—
2024	31	INTLGigantes del …	107	.180/.234/.310	3	2	53	—
2025	32	No MLB games played
2026	33	No MLB games played

Last 3 seasons WAR -0.5

Contract

No contract data on file.

Skills · percentileStatcast 2020-2022

xwOBA58

Barrel%42

Avg EV24

Speed16

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	DSL Nationals	—	162	149	45	12	1	0	8	18	4	2	3	302	354	396	750	94	341	11	5	336	36	—	—	—	—	—	—
2012	19	ROK	DSL Nationals	—	131	113	37	6	1	0	13	11	4	3	1	327	415	398	814	71	359	8	10	370	51	—	—	—	—	—	—
2013	20	ROK	DSL Nationals	—	128	106	27	2	1	2	14	17	5	3	4	255	368	349	717	94	278	13	11	326	32	—	—	—	—	—	—
2015	22	A	Delmarva Shorebirds	—	255	239	65	16	2	8	11	41	1	1	0	272	307	456	763	184	294	16	4	330	61	—	—	—	—	—	—
2015	22	INTL	Tigres del Licey	—	58	56	20	4	0	1	1	4	0	2	0	357	368	482	851	125	365	7	2	371	137	—	—	—	—	—	—
2016	23	A+	Frederick Keys	—	118	107	34	6	0	6	10	19	1	0	0	318	381	542	923	224	341	16	8	405	88	—	—	—	—	—	—
2016	23	A	Delmarva Shorebirds	—	382	340	120	25	5	14	34	63	3	1	1	353	416	579	996	226	396	16	9	429	114	—	—	—	—	—	—
2016	23	INTL	Dominican Republic	—	36	36	6	1	0	0	0	5	0	0	0	167	167	194	361	28	194	14	0	161	-5	—	—	—	—	—	—
2017	24	AA	Bowie Baysox	—	46	44	13	3	0	1	2	8	0	1	0	295	326	432	758	136	343	17	4	336	77	—	—	—	—	—	—
2017	24	A+	Frederick Keys	—	378	336	92	17	0	15	33	59	4	4	3	274	346	458	804	185	288	16	9	353	68	—	—	—	—	—	—
2017	24	INTL	Tigres del Licey	—	107	93	28	3	0	2	11	16	1	0	0	301	381	398	779	97	338	15	10	348	122	—	—	—	—	—	—
2018	25	A+	Winston-Salem Dash	—	410	360	104	24	1	14	40	67	4	4	0	289	365	478	843	189	317	16	10	369	80	—	—	—	—	—	—
2018	25	INTL	Tigres del Licey	—	108	95	22	3	2	0	11	17	1	0	2	232	318	305	623	74	278	16	10	286	80	—	—	—	—	—	—
2019	26	AAA	Charlotte Knights	—	220	187	58	12	0	17	24	42	3	0	0	310	397	647	1.044	337	306	19	11	436	119	—	—	—	—	—	—
2019	26	AA	Birmingham Barons	—	167	147	48	7	0	6	17	25	0	2	0	327	396	497	893	170	353	15	10	389	105	—	—	—	—	—	—
2019	26	INTL	Tigres del Licey	—	48	44	15	4	1	0	2	5	1	0	0	341	383	477	860	136	375	10	4	374	139	—	—	—	—	—	—
2020	27	INTL	Tigres del Licey	—	95	87	24	2	0	2	7	9	0	0	1	276	330	368	698	92	286	9	7	313	98	—	—	—	—	—	—
2021	28	MLB	Chicago White Sox	—	262	240	65	9	1	7	20	46	1	0	1	271	330	404	734	133	309	18	8	328	105	+2	-0	-0	-10	+6	-0.3
2021	28	AAA	Charlotte Knights	—	239	222	61	7	1	11	11	39	4	3	0	275	321	464	785	189	287	16	5	344	63	—	—	—	—	—	—
2021	28	INTL	Tigres del Licey	—	68	63	12	2	0	1	3	6	0	0	0	190	227	270	497	79	190	9	4	219	34	—	—	—	—	—	—
2022	29	MLB	San Francisco Giants	—	83	73	17	5	0	1	9	17	1	0	0	233	325	342	668	110	291	20	11	307	96	-0	+0	-2	-4	+2	-0.5
2022	29	AAA	Sacramento River Cats	—	267	229	58	10	0	12	33	58	2	7	1	253	352	454	806	201	284	22	12	355	72	—	—	—	—	—	—
2023	30	INTL	Toros del Este	—	114	100	17	5	0	1	13	24	1	0	1	170	272	250	522	80	213	21	11	248	54	—	—	—	—	—	—
2024	31	INTL	Gigantes del Cibao	—	107	100	18	4	0	3	4	24	3	2	0	180	234	310	544	130	205	22	4	246	53	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	345	313	82	14	1	8	29	63	2	0	1	262	328	390	718	128	305	18	8	323	105	+2	-0	-2	-14	+7	-0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	18	ROK MLE	DSL Nationals	—	162	151	30	7	1	0	6	22	4	2	3	199	248	258	507	60	227	14	4	221	36	—	—	—	—	—	—
2012	19	ROK MLE	DSL Nationals	—	131	117	25	4	1	0	9	13	4	3	1	214	292	265	557	51	231	10	7	243	51	—	—	—	—	—	—
2013	20	ROK MLE	DSL Nationals	—	128	110	18	1	1	1	10	21	5	3	4	164	264	218	482	55	176	16	8	215	32	—	—	—	—	—	—
2015	22	A MLE	Delmarva Shorebirds	—	255	243	53	12	2	7	7	56	1	1	0	218	243	370	613	152	241	22	3	259	61	—	—	—	—	—	—
2016	23	A+ MLE	Frederick Keys	—	118	113	27	5	0	4	4	27	1	0	0	239	271	389	661	150	283	23	3	299	88	—	—	—	—	—	—
2016	23	A MLE	Delmarva Shorebirds	—	382	354	99	19	4	12	20	84	3	1	1	280	324	458	781	178	325	22	5	336	114	—	—	—	—	—	—
2017	24	AA MLE	Bowie Baysox	—	46	45	12	2	0	1	1	10	0	1	0	267	283	378	660	111	324	22	2	282	77	—	—	—	—	—	—
2017	24	A+ MLE	Frederick Keys	—	378	349	75	14	0	10	20	84	4	4	3	215	265	341	606	126	247	22	5	269	68	—	—	—	—	—	—
2018	25	A+ MLE	Winston-Salem Dash	—	410	379	88	19	1	12	22	102	4	4	0	232	281	383	664	150	275	25	5	286	80	—	—	—	—	—	—
2019	26	AAA MLE	Charlotte Knights	—	220	197	49	11	0	12	14	52	3	0	0	249	308	487	796	239	253	24	6	344	119	—	—	—	—	—	—
2019	26	AA MLE	Birmingham Barons	—	167	152	42	6	0	5	12	30	0	2	0	276	329	414	744	138	301	18	7	323	105	—	—	—	—	—	—
2021	28	MLB MLE	Chicago White Sox	—	262	241	65	9	1	7	19	46	1	0	1	270	326	402	728	133	309	18	7	324	105	+2	-0	-0	-10	+6	-0.3
2021	28	AAA MLE	Charlotte Knights	—	239	226	51	5	1	6	7	46	4	3	0	226	262	336	598	111	251	19	3	262	63	—	—	—	—	—	—
2022	29	MLB MLE	San Francisco Giants	—	83	73	17	5	0	1	9	17	1	0	0	233	325	342	668	110	291	20	11	310	96	-0	+0	-2	-4	+2	-0.5
2022	29	AAA MLE	Sacramento River Cats	—	267	240	49	8	0	8	22	70	2	7	1	204	277	338	614	133	243	26	8	274	72	—	—	—	—	—	—
2011	18	ROK MLE	DSL Nationals	—	162	151	30	7	1	0	6	22	4	2	3	199	248	258	507	60	231	14	4	221	36	—	—	—	—	—	—
2011	18	ROK RAW	DSL Nationals	—	162	149	45	12	1	0	8	18	4	2	3	302	354	396	750	94	341	11	5	336	36	—	—	—	—	—	—
2012	19	ROK MLE	DSL Nationals	—	131	117	25	4	1	0	9	13	4	3	1	214	292	265	557	51	238	10	7	243	51	—	—	—	—	—	—
2012	19	ROK RAW	DSL Nationals	—	131	113	37	6	1	0	13	11	4	3	1	327	415	398	814	71	359	8	10	370	51	—	—	—	—	—	—
2013	20	ROK MLE	DSL Nationals	—	128	110	18	1	1	1	10	21	5	3	4	164	264	218	482	55	187	16	8	215	32	—	—	—	—	—	—
2013	20	ROK RAW	DSL Nationals	—	128	106	27	2	1	2	14	17	5	3	4	255	368	349	717	94	278	13	11	326	32	—	—	—	—	—	—
2015	22	A MLE	2 teams	—	313	298	64	14	2	9	9	69	1	3	0	215	240	366	606	151	244	22	3	259	61	—	—	—	—	—	—
2015	22	A RAW	2 teams	—	313	295	85	20	2	9	12	45	1	3	0	288	318	461	779	173	309	14	4	337	61	—	—	—	—	—	—
2016	23	A MLE	3 teams	—	536	501	136	25	4	18	26	119	4	1	1	271	313	445	758	174	320	22	5	327	108	—	—	—	—	—	—
2016	23	A RAW	3 teams	—	536	483	160	32	5	20	44	87	4	1	1	331	392	542	934	211	367	16	8	406	108	—	—	—	—	—	—
2017	24	A+ MLE	3 teams	—	531	492	110	21	0	14	27	118	5	5	3	224	271	352	623	128	262	22	5	270	69	—	—	—	—	—	—
2017	24	A+ RAW	3 teams	—	531	473	133	23	0	18	46	83	5	5	3	281	351	444	795	163	303	16	9	350	69	—	—	—	—	—	—
2018	25	A+ MLE	2 teams	—	518	479	111	24	1	15	28	130	5	4	2	232	281	380	661	148	282	25	5	286	80	—	—	—	—	—	—
2018	25	A+ RAW	2 teams	—	518	455	126	27	3	14	51	84	5	4	2	277	355	442	797	165	309	16	10	352	80	—	—	—	—	—	—
2019	26	AAA MLE	3 teams	—	435	392	102	19	0	20	29	93	4	2	0	260	318	462	779	202	284	21	7	335	113	—	—	—	—	—	—
2019	26	AAA RAW	3 teams	—	435	378	121	23	1	23	43	72	4	2	0	320	395	569	964	249	334	17	10	411	113	—	—	—	—	—	—
2020	27	INTL MLE	Tigres del Licey	—	95	87	24	2	0	2	7	9	0	0	1	276	330	368	698	92	286	9	7	—	—	—	—	—	—	—	—
2020	27	INTL RAW	Tigres del Licey	—	95	87	24	2	0	2	7	9	0	0	1	276	330	368	698	92	286	9	7	313	98	—	—	—	—	—	—
2021	28	MLB MLE	3 teams	—	569	529	131	16	2	15	30	105	5	3	1	248	294	371	665	123	280	18	5	294	85	-10	+0	-0	-10	+12	-0.8
2021	28	MLB RAW	3 teams	—	569	525	138	18	2	19	34	91	5	3	1	263	314	413	727	150	283	16	6	321	85	-10	+0	-0	-10	+12	-0.8
2022	29	AAA MLE	2 teams	—	350	313	66	13	0	9	31	87	3	7	1	211	288	339	627	128	259	25	9	283	77	—	—	—	—	—	—
2022	29	AAA RAW	2 teams	—	350	302	75	15	0	13	42	75	3	7	1	248	346	427	773	179	286	21	12	344	77	—	—	—	—	—	—
2023	30	INTL MLE	Toros del Este	—	114	100	17	5	0	1	13	24	1	0	1	170	272	250	522	80	213	21	11	—	—	—	—	—	—	—	—
2023	30	INTL RAW	Toros del Este	—	114	100	17	5	0	1	13	24	1	0	1	170	272	250	522	80	213	21	11	248	54	—	—	—	—	—	—
2024	31	INTL MLE	Gigantes del Cibao	—	107	100	18	4	0	3	4	24	3	2	0	180	234	310	544	130	205	22	4	—	—	—	—	—	—	—	—
2024	31	INTL RAW	Gigantes del Cibao	—	107	100	18	4	0	3	4	24	3	2	0	180	234	310	544	130	205	22	4	246	53	—	—	—	—	—	—
2011	18	ROK MLE	DSL Nationals	—	162	151	30	7	1	0	6	22	4	2	3	199	248	258	507	60	227	14	4	221	36	—	—	—	—	—	—
2012	19	ROK MLE	DSL Nationals	—	131	117	25	4	1	0	9	13	4	3	1	214	292	265	557	51	231	10	7	243	51	—	—	—	—	—	—
2013	20	ROK MLE	DSL Nationals	—	128	112	18	1	1	1	10	21	5	3	4	161	264	214	478	54	176	16	8	215	32	—	—	—	—	—	—
2015	22	A MLE	2 teams	—	313	300	64	14	2	9	9	69	1	3	0	213	240	363	604	150	241	22	3	259	61	—	—	—	—	—	—
2016	23	A MLE	3 teams	—	536	501	136	25	4	18	26	119	4	1	1	271	313	445	758	174	315	22	5	327	108	—	—	—	—	—	—
2017	24	A+ MLE	3 teams	—	531	494	110	21	0	14	27	118	5	5	3	223	271	350	621	128	255	22	5	270	69	—	—	—	—	—	—
2018	25	A+ MLE	2 teams	—	518	480	111	24	1	15	28	130	5	4	2	231	281	379	660	148	275	25	5	286	80	—	—	—	—	—	—
2019	26	AAA MLE	3 teams	—	435	399	102	19	0	20	29	93	4	2	0	256	318	454	771	198	274	21	7	335	113	—	—	—	—	—	—
2021	28	MLB MLE	3 teams	—	569	529	131	16	2	15	30	105	5	3	1	248	294	371	665	123	281	18	5	294	85	—	—	—	—	—	—
2022	29	AAA MLE	2 teams	—	350	313	66	13	0	9	31	87	3	7	1	211	288	339	627	128	254	25	9	283	77	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	345	313	82	14	1	8	29	63	2	0	1	262	328	390	718	128	305	18	8	323	65	+2	-0	-2	-14	+7	-0.8
/ 162G	—	A+C		—	650	590	154	26	2	15	55	119	4	0	2	261	329	388	717	127	303	18	8	323	65	+4	-1	-5	-26	+14	-1.4
Career	—	MLE		—	3989	3669	852	155	12	107	229	834	44	35	18	232	285	368	654	136	268	21	6	265	65	+2	-0	-2	-14	+7	-0.8
/ 162G	—	MLE		—	650	598	138	25	2	17	37	136	7	6	3	231	283	365	648	134	267	21	6	265	65	+4	-1	-5	-26	+14	-1.4

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.

2022 AAASacramento River Cats · 267 PAwOBA .349 → .274 (−74)K% 21.7% → 26.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.72%	÷0.986	×1.200	—	—	26.43%
BB% (unintentional) /PA	11.99%	÷0.984	×0.690	—	×0.982	8.25%
HBP% /PA	0.75%	—	×0.940	—	×0.982	0.69%
Singles /BIP	21.05%	÷0.968	×0.930	×0.950	×0.982	18.86%
Doubles /BIP	5.85%	÷0.967	×0.830	×0.950	×0.982	4.68%
Triples /BIP	0.00%	÷0.900	×0.970	×0.950	×0.982	0.00%
Home runs /BIP	7.02%	÷0.989	×0.700	—	×0.982	4.88%

Factors used: league row International League. Park (home-season share, regressed): HR 98, 1B 94, 2B 93, 3B 80, K 97, BB 97 — 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 ×0.950.

Result: wOBA .349 → .274; ISO .201 → .146; BABIP .284 → .243. 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 AAACharlotte Knights · 239 PAwOBA .337 → .262 (−75)K% 16.3% → 19.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.32%	÷1.011	×1.200	—	—	19.37%
BB% (unintentional) /PA	4.60%	÷1.053	×0.690	—	×0.992	2.99%
HBP% /PA	1.67%	—	×0.940	—	×0.992	1.56%
Singles /BIP	22.95%	÷0.986	×0.930	×0.988	×0.992	21.22%
Doubles /BIP	3.83%	÷1.128	×0.830	×0.988	×0.992	2.76%
Triples /BIP	0.55%	÷1.020	×0.920	×0.988	×0.992	0.48%
Home runs /BIP	6.01%	÷1.190	×0.700	—	×0.992	3.51%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 138, 1B 97, 2B 126, 3B 104, K 102, BB 111 — 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 ×0.988.

Result: wOBA .337 → .262; ISO .189 → .117; BABIP .287 → .251. 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 AAACharlotte Knights · 220 PAwOBA .432 → .344 (−88)K% 19.1% → 23.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.09%	÷0.962	×1.200	—	—	23.83%
BB% (unintentional) /PA	9.55%	÷1.077	×0.690	—	×1.018	6.23%
HBP% /PA	1.36%	—	×0.940	—	×1.018	1.30%
Singles /BIP	20.00%	÷1.061	×0.930	×0.950	×1.018	16.96%
Doubles /BIP	8.28%	÷0.921	×0.830	×0.950	×1.018	7.21%
Triples /BIP	0.00%	÷0.900	×0.970	×0.950	×1.018	0.00%
Home runs /BIP	11.72%	÷1.212	×0.840	—	×1.018	8.27%

Factors used: league row IL. Park (home-season share, regressed): HR 142, 1B 112, 2B 84, 3B 80, K 92, BB 115 — 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 ×0.950.

Result: wOBA .432 → .344; ISO .337 → .259; BABIP .306 → .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).

2019 AABirmingham Barons · 167 PAwOBA .386 → .323 (−63)K% 15.0% → 18.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.97%	÷1.007	×1.220	—	—	18.13%
BB% (unintentional) /PA	10.18%	÷0.929	×0.680	—	×0.988	7.36%
HBP% /PA	0.00%	—	×0.840	—	×0.988	0.00%
Singles /BIP	28.69%	÷0.998	×0.920	×0.950	×0.988	24.81%
Doubles /BIP	5.74%	÷1.009	×0.910	×0.950	×0.988	4.86%
Triples /BIP	0.00%	÷1.150	×0.880	×0.950	×0.988	0.00%
Home runs /BIP	4.92%	÷0.993	×0.800	—	×0.988	3.92%

Factors used: league row SL. Park (home-season share, regressed): HR 99, 1B 100, 2B 102, 3B 130, K 101, BB 86 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .386 → .323; ISO .170 → .141; BABIP .353 → .301. 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+Winston-Salem Dash · 410 PAwOBA .362 → .286 (−76)K% 16.3% → 25.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.34%	÷0.928	×1.420	—	—	25.00%
BB% (unintentional) /PA	9.27%	÷1.049	×0.630	—	×0.978	5.44%
HBP% /PA	0.98%	—	×0.860	—	×0.978	0.82%
Singles /BIP	22.18%	÷0.984	×0.940	×0.958	×0.978	19.86%
Doubles /BIP	8.19%	÷0.939	×0.830	×0.958	×0.978	6.78%
Triples /BIP	0.34%	÷1.150	×0.800	×0.958	×0.978	0.22%
Home runs /BIP	4.78%	÷1.014	×0.900	—	×0.978	4.15%

Factors used: league row CAR. Park (home-season share, regressed): HR 103, 1B 97, 2B 88, 3B 130, K 86, BB 110 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.958.

Result: wOBA .362 → .286; ISO .189 → .154; BABIP .317 → .275. 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 A+Frederick Keys · 378 PAwOBA .348 → .269 (−79)K% 15.6% → 22.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.61%	÷0.993	×1.420	—	—	22.31%
BB% (unintentional) /PA	8.73%	÷1.010	×0.630	—	×0.988	5.38%
HBP% /PA	1.06%	—	×0.860	—	×0.988	0.90%
Singles /BIP	21.66%	÷1.006	×0.940	×0.950	×0.988	18.99%
Doubles /BIP	6.14%	÷0.914	×0.830	×0.950	×0.988	5.23%
Triples /BIP	0.00%	÷0.900	×0.800	×0.950	×0.988	0.00%
Home runs /BIP	5.42%	÷1.238	×0.900	—	×0.988	3.89%

Factors used: league row CAR. Park (home-season share, regressed): HR 148, 1B 101, 2B 83, 3B 80, K 99, BB 102 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .348 → .269; ISO .185 → .136; 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).

2017 AABowie Baysox · 46 PAwOBA .327 → .282 (−45)K% 17.4% → 21.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.39%	÷0.970	×1.220	—	—	21.87%
BB% (unintentional) /PA	4.35%	÷1.061	×0.700	—	×1.012	2.90%
HBP% /PA	0.00%	—	×0.850	—	×1.012	0.00%
Singles /BIP	25.00%	÷0.993	×0.970	—	×1.012	24.70%
Doubles /BIP	8.33%	÷1.043	×0.860	—	×1.012	6.95%
Triples /BIP	0.00%	÷1.016	×0.950	—	×1.012	0.00%
Home runs /BIP	2.78%	÷0.998	×0.780	—	×1.012	2.20%

Factors used: league row EL. Park (home-season share, regressed): HR 100, 1B 99, 2B 109, 3B 103, K 94, BB 112 — 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).

Result: wOBA .327 → .282; ISO .136 → .107; BABIP .343 → .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 ADelmarva Shorebirds · 382 PAwOBA .422 → .336 (−87)K% 16.5% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.49%	÷1.001	×1.340	—	—	22.07%
BB% (unintentional) /PA	8.64%	÷1.079	×0.660	—	×0.990	5.23%
HBP% /PA	0.79%	—	×0.770	—	×0.990	0.60%
Singles /BIP	27.44%	÷1.015	×0.920	×0.950	×0.990	23.39%
Doubles /BIP	9.03%	÷1.008	×0.820	×0.950	×0.990	6.90%
Triples /BIP	1.81%	÷1.150	×0.940	×0.950	×0.990	1.39%
Home runs /BIP	5.05%	÷0.928	×0.820	—	×0.990	4.42%

Factors used: league row SAL. Park (home-season share, regressed): HR 86, 1B 103, 2B 102, 3B 130, K 100, BB 116 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .422 → .336; ISO .226 → .186; BABIP .396 → .325. 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 — .