Rymer Liriano

PosRF

B/TR/R

Born1991-06-20

Age (2027)36

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	26	AAA/INTL2 orgs	545	.252/.327/.410	17	8	65	—	.216/.271/.335
2017	26	MLBCWS	46	.220/.304/.341	1	1	85	-0.6
2018	27	AAA/INTL2 orgs	490	.245/.343/.462	22	11	60	—	.169/.242/.298
2019	28	AAA/INTL2 orgs	287	.190/.338/.358	10	7	57	—	.167/.266/.326
2020	29	No MLB games played
2021	30	No MLB games played
2022	31	No MLB games played
2023	32	No MLB games played
2024	33	No MLB games played
2025	34	No MLB games played
2026	35	No MLB games played

Last 3 seasons WAR -0.6

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)
2008	17	ROK	DSL Padres	—	267	232	46	13	1	9	28	106	5	9	5	198	298	379	677	181	311	40	10	304	5	—	—	—	—	—	—
2009	18	ROK	AZL Padres	—	216	197	69	8	1	8	15	52	2	14	5	350	402	523	925	173	439	24	7	405	78	—	—	—	—	—	—
2010	19	A+	Lake Elsinore Storm	—	55	50	11	2	0	1	5	12	0	3	0	220	291	320	611	100	270	22	9	280	45	—	—	—	—	—	—
2010	19	A	Fort Wayne TinCaps	—	201	188	36	11	1	2	10	54	1	11	6	191	236	293	529	101	254	27	5	236	10	—	—	—	—	—	—
2011	20	A+	Lake Elsinore Storm	—	61	55	7	1	1	0	6	13	0	1	1	127	213	182	395	55	167	21	10	190	-14	—	—	—	—	—	—
2011	20	A	Fort Wayne TinCaps	—	519	455	145	30	8	12	47	95	6	65	20	319	390	499	889	180	373	18	9	385	111	—	—	—	—	—	—
2011	20	INTL	Tigres del Licey	—	30	26	4	1	0	0	4	11	0	2	1	154	267	192	459	38	267	37	13	226	39	—	—	—	—	—	—
2012	21	AA	San Antonio Missions	—	206	183	46	10	2	3	20	50	3	10	1	251	335	377	712	126	331	24	10	323	77	—	—	—	—	—	—
2012	21	A+	Lake Elsinore Storm	—	314	282	84	22	2	5	21	69	8	22	7	298	363	443	807	145	374	22	7	357	93	—	—	—	—	—	—
2012	21	INTL	Tigres del Licey	—	118	106	30	5	0	4	7	24	3	6	2	283	345	443	788	160	329	20	6	346	120	—	—	—	—	—	—
2014	23	MLB	San Diego Padres	—	121	109	24	2	0	1	9	39	2	4	1	220	292	266	558	46	329	32	7	260	59	-6	+0	-3	-8	+3	-1.4
2014	23	AAA	El Paso Chihuahuas	—	71	62	28	11	1	0	8	14	1	3	1	452	521	661	1.182	210	583	20	11	515	162	—	—	—	—	—	—
2014	23	AA	San Antonio Missions	—	415	372	98	20	2	14	34	101	6	17	6	263	335	441	776	177	323	24	8	343	78	—	—	—	—	—	—
2014	23	INTL	Tigres del Licey	—	126	117	31	2	1	4	8	29	0	1	1	265	312	402	714	137	318	23	6	316	100	—	—	—	—	—	—
2015	24	AAA	El Paso Chihuahuas	—	549	472	138	31	3	14	64	132	8	18	8	292	386	460	846	167	376	24	12	375	91	—	—	—	—	—	—
2015	24	INTL	Tigres del Licey	—	120	102	20	4	0	3	16	34	2	6	1	196	317	324	640	127	262	28	13	298	88	—	—	—	—	—	—
2016	25	INTL	Tigres del Licey	—	137	120	31	3	2	1	15	34	2	2	5	258	350	342	692	83	353	25	11	319	102	—	—	—	—	—	—
2017	26	MLB	Chicago White Sox	—	46	41	9	2	0	1	5	14	0	1	0	220	304	341	646	122	308	30	11	295	85	-1	+0	+1	-6	+1	-0.6
2017	26	AAA	Charlotte Knights	—	500	449	115	15	3	17	42	133	4	7	4	256	325	416	742	160	325	27	8	328	63	—	—	—	—	—	—
2017	26	INTL	Tigres del Licey	—	45	36	7	1	2	0	8	17	0	1	0	194	341	333	674	139	350	38	18	305	92	—	—	—	—	—	—
2018	27	AAA	Colorado Springs Sky Sox	—	404	352	89	11	3	20	45	125	4	11	9	253	344	472	816	219	330	31	11	358	49	—	—	—	—	—	—
2018	27	INTL	Navegantes del Magallanes	—	86	72	15	5	2	2	14	26	0	0	0	208	337	417	754	208	295	30	16	337	114	—	—	—	—	—	—
2019	28	AAA	Syracuse Mets	—	247	201	42	9	0	10	41	90	2	7	2	209	348	403	751	194	311	36	17	337	63	—	—	—	—	—	—
2019	28	INTL	Leones del Escogido	—	40	31	2	0	0	0	9	20	0	0	2	65	275	65	340		182	50	22	202	23	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	167	150	33	4	0	2	14	53	2	5	1	220	295	287	582	67	323	32	8	269	68	-6	+1	-3	-14	+4	-1.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	17	ROK MLE	DSL Padres	—	267	241	26	7	1	4	19	129	5	9	5	108	189	195	384	87	194	48	7	175	5	—	—	—	—	—	—
2009	18	ROK MLE	AZL Padres	—	216	202	51	5	1	6	10	75	2	14	5	252	294	376	671	124	351	35	5	283	78	—	—	—	—	—	—
2010	19	A+ MLE	Lake Elsinore Storm	—	55	51	10	2	0	1	4	16	0	3	0	196	255	294	549	98	255	29	7	234	45	—	—	—	—	—	—
2010	19	A MLE	Fort Wayne TinCaps	—	201	191	30	8	1	2	7	77	1	11	6	157	191	241	432	84	235	38	3	183	10	—	—	—	—	—	—
2011	20	A+ MLE	Lake Elsinore Storm	—	61	57	6	1	1	0	4	19	0	1	1	105	164	158	322	53	157	31	7	147	-14	—	—	—	—	—	—
2011	20	A MLE	Fort Wayne TinCaps	—	519	470	132	24	7	12	32	130	6	65	20	281	335	438	773	157	344	25	6	332	111	—	—	—	—	—	—
2012	21	AA MLE	San Antonio Missions	—	206	192	45	10	2	3	11	61	3	10	1	234	286	354	641	120	326	30	5	282	77	—	—	—	—	—	—
2012	21	A+ MLE	Lake Elsinore Storm	—	314	289	77	18	2	5	14	93	8	22	7	266	318	394	713	128	360	30	4	305	93	—	—	—	—	—	—
2014	23	MLB MLE	San Diego Padres	—	121	110	24	2	0	1	8	39	2	4	1	218	283	264	547	45	329	32	7	256	59	-6	+0	-3	-8	+3	-1.4
2014	23	AAA MLE	El Paso Chihuahuas	—	71	64	23	8	1	0	6	18	1	3	1	359	423	516	938	156	507	25	8	408	162	—	—	—	—	—	—
2014	23	AA MLE	San Antonio Missions	—	415	384	88	16	2	11	22	131	6	17	6	229	282	367	649	138	309	32	5	283	78	—	—	—	—	—	—
2015	24	AAA MLE	El Paso Chihuahuas	—	549	488	116	25	2	12	48	174	8	18	8	238	316	371	687	133	335	32	9	303	91	—	—	—	—	—	—
2017	26	MLB MLE	Chicago White Sox	—	46	41	9	2	0	1	5	14	0	1	0	220	304	341	646	122	308	30	11	294	85	-1	+0	+1	-6	+1	-0.6
2017	26	AAA MLE	Charlotte Knights	—	500	462	100	13	3	12	30	168	4	7	4	216	271	335	606	119	299	34	6	261	63	—	—	—	—	—	—
2018	27	AAA MLE	Colorado Springs Sky Sox	—	404	366	62	7	2	12	31	174	4	11	9	169	242	298	540	128	270	43	8	240	49	—	—	—	—	—	—
2019	28	AAA MLE	Syracuse Mets	—	247	215	36	7	0	9	27	106	2	7	2	167	266	326	592	158	249	43	11	261	63	—	—	—	—	—	—
2008	17	ROK MLE	DSL Padres	—	267	241	26	7	1	4	19	129	5	9	5	108	189	195	384	87	200	48	7	175	5	—	—	—	—	—	—
2008	17	ROK RAW	DSL Padres	—	267	232	46	13	1	9	28	106	5	9	5	198	298	379	677	181	311	40	10	304	5	—	—	—	—	—	—
2009	18	ROK MLE	AZL Padres	—	216	202	51	5	1	6	10	75	2	14	5	252	294	376	671	124	366	35	5	283	78	—	—	—	—	—	—
2009	18	ROK RAW	AZL Padres	—	216	197	69	8	1	8	15	52	2	14	5	350	402	523	925	173	439	24	7	405	78	—	—	—	—	—	—
2010	19	A MLE	2 teams	—	256	242	40	10	1	3	11	93	1	14	6	165	205	252	457	87	250	36	4	194	17	—	—	—	—	—	—
2010	19	A RAW	2 teams	—	256	238	47	13	1	3	15	66	1	14	6	197	248	298	546	101	257	26	6	246	17	—	—	—	—	—	—
2011	20	A MLE	3 teams	—	610	555	144	26	8	12	38	156	6	68	22	259	314	400	714	141	333	26	6	313	98	—	—	—	—	—	—
2011	20	A RAW	3 teams	—	610	536	156	32	9	12	57	119	6	68	22	291	366	451	817	160	348	20	9	357	98	—	—	—	—	—	—
2012	21	A+ MLE	3 teams	—	638	588	147	33	4	9	31	188	14	38	10	250	303	366	669	116	349	29	5	296	86	—	—	—	—	—	—
2012	21	A+ RAW	3 teams	—	638	571	160	37	4	12	48	143	14	38	10	280	351	422	773	142	352	22	8	344	86	—	—	—	—	—	—
2014	23	AA MLE	4 teams	—	733	675	164	32	3	15	44	227	9	25	9	243	298	366	664	123	340	31	6	292	84	—	—	—	—	—	—
2014	23	AA RAW	4 teams	—	733	660	181	35	4	19	59	183	9	25	9	274	342	426	768	152	350	25	8	341	84	—	—	—	—	—	—
2015	24	AAA MLE	2 teams	—	669	595	141	31	2	14	59	212	10	24	9	237	316	366	683	129	340	32	9	303	91	—	—	—	—	—	—
2015	24	AAA RAW	2 teams	—	669	574	158	35	3	17	80	166	10	24	9	275	373	436	809	160	357	25	12	361	91	—	—	—	—	—	—
2016	25	INTL MLE	Tigres del Licey	—	137	120	31	3	2	1	15	34	2	2	5	258	350	342	692	83	353	25	11	—	—	—	—	—	—	—	—
2016	25	INTL RAW	Tigres del Licey	—	137	120	31	3	2	1	15	34	2	2	5	258	350	342	692	83	353	25	11	319	102	—	—	—	—	—	—
2017	26	AAA MLE	3 teams	—	591	544	117	16	3	14	37	196	4	9	4	215	270	333	603	118	305	33	6	264	65	—	—	—	—	—	—
2017	26	AAA RAW	3 teams	—	591	526	131	18	5	18	55	164	4	9	4	249	325	405	730	156	325	28	9	324	65	—	—	—	—	—	—
2018	27	AAA MLE	2 teams	—	490	445	75	9	2	14	38	211	4	11	9	169	240	292	532	124	275	43	8	240	49	—	—	—	—	—	—
2018	27	AAA RAW	2 teams	—	490	424	104	16	5	22	59	151	4	11	9	245	343	462	805	217	324	31	12	354	49	—	—	—	—	—	—
2019	28	AAA MLE	2 teams	—	287	251	41	8	0	10	31	123	2	7	4	163	261	315	575	151	258	43	11	261	63	—	—	—	—	—	—
2019	28	AAA RAW	2 teams	—	287	232	44	9	0	10	50	110	2	7	4	190	338	358	696	168	298	38	17	318	63	—	—	—	—	—	—
2008	17	ROK MLE	DSL Padres	—	267	241	26	7	1	4	19	129	5	9	5	108	189	195	384	87	194	48	7	175	5	—	—	—	—	—	—
2009	18	ROK MLE	AZL Padres	—	216	202	51	5	1	6	10	75	2	14	5	252	294	376	671	124	351	35	5	283	78	—	—	—	—	—	—
2010	19	A MLE	2 teams	—	256	242	40	10	1	3	11	93	1	14	6	165	205	252	457	87	239	36	4	194	17	—	—	—	—	—	—
2011	20	A MLE	3 teams	—	610	561	144	26	8	12	38	156	6	68	22	257	314	396	710	139	324	26	6	313	98	—	—	—	—	—	—
2012	21	A+ MLE	3 teams	—	638	588	147	33	4	9	31	188	14	38	10	250	303	366	669	116	347	29	5	296	86	—	—	—	—	—	—
2014	23	AA MLE	4 teams	—	733	674	164	32	3	15	44	227	9	25	9	243	298	366	665	123	336	31	6	292	84	—	—	—	—	—	—
2015	24	AAA MLE	2 teams	—	669	595	141	31	2	14	59	212	10	24	9	237	316	366	683	129	335	32	9	303	91	—	—	—	—	—	—
2017	26	AAA MLE	3 teams	—	591	545	117	16	3	14	37	196	4	9	4	215	270	332	602	117	300	33	6	264	65	—	—	—	—	—	—
2018	27	AAA MLE	2 teams	—	490	445	75	9	2	14	38	211	4	11	9	169	240	292	532	124	270	43	8	240	49	—	—	—	—	—	—
2019	28	AAA MLE	2 teams	—	287	252	41	8	0	10	31	123	2	7	4	163	261	313	574	151	249	43	11	261	63	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	167	150	33	4	0	2	14	53	2	5	1	220	295	287	582	67	323	32	8	269	66	-6	+1	-3	-14	+4	-1.9
/ 162G	—	A+C		—	650	584	129	16	0	8	54	206	8	19	4	221	296	289	585	68	324	32	8	269	66	-24	+2	-11	-55	+14	-7.6
Career	—	MLE		—	4894	4458	977	180	27	102	333	1644	59	221	88	219	282	340	623	121	318	34	7	266	66	-6	+1	-3	-14	+4	-1.9
/ 162G	—	MLE		—	650	592	131	24	4	14	44	218	8	29	12	221	284	346	630	125	321	34	7	266	66	-24	+2	-11	-55	+14	-7.6

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.

2019 AAASyracuse Mets · 247 PAwOBA .327 → .261 (−66)K% 36.4% → 42.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.44%	÷1.020	×1.200	—	—	42.88%
BB% (unintentional) /PA	15.38%	÷0.966	×0.690	—	×0.992	10.91%
HBP% /PA	0.81%	—	×0.940	—	×0.992	0.76%
Singles /BIP	20.72%	÷1.042	×0.930	×0.950	×0.992	17.44%
Doubles /BIP	8.11%	÷1.060	×0.830	×0.950	×0.992	5.98%
Triples /BIP	0.00%	÷0.900	×0.970	×0.950	×0.992	0.00%
Home runs /BIP	9.01%	÷0.960	×0.840	—	×0.992	7.82%

Factors used: league row IL. Park (home-season share, regressed): HR 92, 1B 108, 2B 112, 3B 80, K 104, BB 93 — 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 .327 → .261; ISO .194 → .164; BABIP .311 → .249. 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 AAAColorado Springs Sky Sox · 404 PAwOBA .349 → .240 (−108)K% 30.9% → 43.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.94%	÷0.925	×1.290	—	—	43.14%
BB% (unintentional) /PA	10.64%	÷0.985	×0.710	—	×1.003	7.69%
HBP% /PA	0.99%	—	×0.980	—	×1.003	0.97%
Singles /BIP	24.23%	÷1.014	×0.900	×0.973	×1.003	20.97%
Doubles /BIP	4.85%	÷1.014	×0.810	×0.973	×1.003	3.78%
Triples /BIP	1.32%	÷1.150	×0.810	×0.973	×1.003	0.91%
Home runs /BIP	8.81%	÷1.124	×0.780	—	×1.003	6.13%

Factors used: league row PCL. Park (home-season share, regressed): HR 125, 1B 103, 2B 103, 3B 130, K 85, BB 97 — 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 ×0.973.

Result: wOBA .349 → .240; ISO .219 → .133; BABIP .330 → .270. 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 AAACharlotte Knights · 500 PAwOBA .321 → .261 (−60)K% 26.6% → 33.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.60%	÷0.952	×1.200	—	—	33.54%
BB% (unintentional) /PA	8.40%	÷1.008	×0.690	—	×1.018	5.85%
HBP% /PA	0.80%	—	×0.940	—	×1.018	0.77%
Singles /BIP	25.32%	÷1.012	×0.930	×1.010	×1.018	23.91%
Doubles /BIP	4.75%	÷0.958	×0.830	×1.010	×1.018	4.23%
Triples /BIP	0.95%	÷1.077	×0.970	×1.010	×1.018	0.88%
Home runs /BIP	5.38%	÷1.150	×0.840	—	×1.018	4.00%

Factors used: league row IL. Park (home-season share, regressed): HR 130, 1B 102, 2B 92, 3B 115, K 90, BB 102 — 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 ×1.010.

Result: wOBA .321 → .261; ISO .160 → .120; BABIP .325 → .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).

2015 AAAEl Paso Chihuahuas · 549 PAwOBA .367 → .303 (−64)K% 24.0% → 31.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.04%	÷0.980	×1.290	—	—	31.66%
BB% (unintentional) /PA	11.48%	÷0.972	×0.710	—	×1.048	8.79%
HBP% /PA	1.46%	—	×0.980	—	×1.048	1.50%
Singles /BIP	26.47%	÷1.017	×0.900	×0.985	×1.048	24.18%
Doubles /BIP	9.12%	÷0.970	×0.810	×0.985	×1.048	7.86%
Triples /BIP	0.88%	÷1.150	×0.810	×0.985	×1.048	0.64%
Home runs /BIP	4.12%	÷0.919	×0.780	—	×1.048	3.66%

Factors used: league row PCL. Park (home-season share, regressed): HR 84, 1B 103, 2B 94, 3B 130, K 96, BB 94 — 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 ×0.985.

Result: wOBA .367 → .303; ISO .167 → .136; BABIP .376 → .335. 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 AASan Antonio Missions · 415 PAwOBA .335 → .283 (−52)K% 24.3% → 31.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.34%	÷0.942	×1.220	—	—	31.53%
BB% (unintentional) /PA	7.95%	÷1.083	×0.700	—	×1.027	5.28%
HBP% /PA	1.45%	—	×0.870	—	×1.027	1.29%
Singles /BIP	22.88%	÷0.948	×0.920	×1.007	×1.027	22.95%
Doubles /BIP	7.38%	÷1.020	×0.840	×1.007	×1.027	6.28%
Triples /BIP	0.74%	÷1.065	×0.940	×1.007	×1.027	0.67%
Home runs /BIP	5.17%	÷0.960	×0.800	—	×1.027	4.42%

Factors used: league row TL. Park (home-season share, regressed): HR 92, 1B 90, 2B 104, 3B 113, K 88, BB 117 — 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 ×1.007.

Result: wOBA .335 → .283; ISO .177 → .144; BABIP .323 → .309. 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 AAAEl Paso Chihuahuas · 71 PAwOBA .501 → .408 (−93)K% 19.7% → 25.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.72%	÷1.002	×1.290	—	—	25.39%
BB% (unintentional) /PA	11.27%	÷0.970	×0.710	—	×1.050	8.66%
HBP% /PA	1.41%	—	×0.980	—	×1.050	1.45%
Singles /BIP	33.33%	÷1.018	×0.900	—	×1.050	30.94%
Doubles /BIP	22.92%	÷1.068	×0.810	—	×1.050	18.25%
Triples /BIP	2.08%	÷1.150	×0.810	—	×1.050	1.54%
Home runs /BIP	0.00%	÷0.958	×0.780	—	×1.050	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 92, 1B 104, 2B 114, 3B 130, K 100, BB 94 — 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).

Result: wOBA .501 → .408; ISO .210 → .158; BABIP .583 → .507. 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+Lake Elsinore Storm · 314 PAwOBA .349 → .305 (−44)K% 22.0% → 29.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.97%	÷0.993	×1.340	—	—	29.65%
BB% (unintentional) /PA	6.05%	÷0.979	×0.710	—	×1.027	4.51%
HBP% /PA	2.55%	—	×0.790	—	×1.027	2.07%
Singles /BIP	25.82%	÷0.973	×0.910	×1.050	×1.027	26.04%
Doubles /BIP	10.33%	÷1.036	×0.820	×1.050	×1.027	8.82%
Triples /BIP	0.94%	÷0.993	×0.760	×1.050	×1.027	0.77%
Home runs /BIP	2.35%	÷0.930	×0.920	—	×1.027	2.38%

Factors used: league row CAL. Park (home-season share, regressed): HR 86, 1B 95, 2B 107, 3B 99, K 99, BB 96 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .349 → .305; ISO .145 → .124; BABIP .374 → .360. 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 AASan Antonio Missions · 206 PAwOBA .307 → .282 (−26)K% 24.3% → 29.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.27%	÷1.006	×1.220	—	—	29.43%
BB% (unintentional) /PA	7.77%	÷1.067	×0.700	—	×1.050	5.35%
HBP% /PA	1.46%	—	×0.870	—	×1.050	1.33%
Singles /BIP	23.31%	÷1.018	×0.920	×1.040	×1.050	23.00%
Doubles /BIP	7.52%	÷0.946	×0.840	×1.040	×1.050	7.29%
Triples /BIP	1.50%	÷0.968	×0.940	×1.040	×1.050	1.59%
Home runs /BIP	2.26%	÷0.919	×0.800	—	×1.050	2.06%

Factors used: league row TL. Park (home-season share, regressed): HR 84, 1B 104, 2B 89, 3B 94, K 101, BB 113 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.040.

Result: wOBA .307 → .282; ISO .126 → .120; BABIP .331 → .326. 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 — .