Joaquin Arias

Pos3B

B/TR/R

Born1984-09-21

Age (2027)42

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2016

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2014	29	MLBSF	204	.254/.284/.301	0	1	60	-0.4
2015	30	AAA/INTL2 orgs	56	.226/.268/.358	0	0	35	—	.200/.220/.300
2015	30	MLBSF	59	.207/.207/.276	1	1	32	-0.3
2016	31	INTLLeones del Es…	15	.214/.267/.286	0	0	57	—
2017	32	No MLB games played
2018	33	No MLB games played
2019	34	No MLB games played
2020	35	No MLB games played
2021	36	No MLB games played
2022	37	No MLB games played
2023	38	No MLB games played
2024	39	No MLB games played
2025	40	No MLB games played
2026	41	No MLB games played

Last 3 seasons WAR -0.7

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)
2005	20	AA	Frisco RoughRiders	—	526	499	157	23	8	5	17	46	1	20	10	315	338	423	761	108	335	9	3	333	95	—	—	—	—	—	—
2006	21	AAA	Oklahoma RedHawks	—	525	493	132	14	10	4	19	64	4	26	10	268	300	361	661	93	296	12	4	291	57	—	—	—	—	—	—
2008	23	MLB	Texas Rangers	—	120	110	32	7	3	0	7	12	2	4	1	291	345	409	754	118	327	10	6	334	112	+2	+0	-2	+2	+3	0.5
2008	23	AAA	Oklahoma RedHawks	—	460	432	128	15	9	7	19	53	3	23	5	296	330	421	752	125	324	12	4	330	78	—	—	—	—	—	—
2009	24	AAA	Oklahoma City RedHawks	—	537	504	134	14	3	5	20	47	3	23	3	266	298	335	633	69	282	9	4	281	52	—	—	—	—	—	—
2010	25	MLB	New York Mets	—	134	128	33	6	1	0	4	23	0	1	0	258	280	320	601	62	314	17	3	266	72	-4	+0	-3	+1	+3	-0.4
2010	25	AA	Frisco RoughRiders	—	35	31	6	0	0	0	3	7	0	0	0	194	265	194	458		240	20	9	215	9	—	—	—	—	—	—
2010	25	INTL	Leones del Escogido	—	91	85	19	1	1	0	6	14	0	3	1	224	275	259	534	35	268	15	7	247	53	—	—	—	—	—	—
2011	26	AAA	Omaha Storm Chasers	—	259	241	56	12	4	3	14	28	0	7	1	232	275	353	627	120	250	11	5	276	45	—	—	—	—	—	—
2011	26	INTL	Aguilas Cibaenas	—	161	150	58	6	4	0	9	16	1	10	4	387	425	480	905	93	430	10	6	401	158	—	—	—	—	—	—
2012	27	MLB	San Francisco Giants	—	344	319	86	13	5	5	13	44	5	5	1	270	309	389	697	119	295	13	4	305	91	-4	+1	+1	+2	+7	0.6
2012	27	AAA	Fresno Grizzlies	—	74	70	28	5	0	2	3	11	1	0	1	400	432	557	990	157	456	15	4	438	119	—	—	—	—	—	—
2012	27	INTL	Aguilas Cibaenas	—	33	33	8	1	0	0	0	2	0	0	0	242	242	273	515	30	258	6	0	231	42	—	—	—	—	—	—
2013	28	MLB	San Francisco Giants	—	236	225	61	9	2	1	4	33	1	1	0	271	287	342	629	71	311	14	2	274	72	-8	+0	+3	+1	+5	0.2
2013	28	INTL	Aguilas Cibaenas	—	49	47	12	1	0	0	1	3	1	0	1	255	286	277	562	21	273	6	2	259	61	—	—	—	—	—	—
2014	29	MLB	San Francisco Giants	—	204	193	49	9	0	0	8	23	0	1	0	254	284	301	584	47	285	11	4	261	60	-10	+0	+1	+1	+4	-0.4
2015	30	MLB	San Francisco Giants	—	59	58	12	1	0	1	0	12	0	1	0	207	207	276	483	69	244	20	0	210	32	-5	+0	-1	+1	+1	-0.3
2015	30	AAA	Sacramento River Cats	—	41	40	11	6	0	0	1	7	0	0	0	275	293	425	718	150	333	17	2	315	45	—	—	—	—	—	—
2015	30	INTL	Aguilas Cibaenas	—	15	13	1	1	0	0	2	4	0	0	0	77	200	154	354	77	111	27	13	179	7	—	—	—	—	—	—
2016	31	INTL	Leones del Escogido	—	15	14	3	1	0	0	1	1	0	0	1	214	267	286	552	71	231	7	7	253	57	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1097	1033	273	45	11	7	36	147	8	13	2	264	294	349	644	85	300	13	3	284	78	-29	+2	-2	+8	+24	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	20	AA MLE	Frisco RoughRiders	—	526	504	152	21	8	4	12	56	1	20	10	302	319	399	718	97	322	11	2	309	95	—	—	—	—	—	—
2006	21	AAA MLE	Oklahoma RedHawks	—	525	499	119	12	8	3	13	82	4	26	10	238	264	313	576	74	270	16	2	252	57	—	—	—	—	—	—
2008	23	MLB MLE	Texas Rangers	—	120	110	32	7	3	0	7	12	2	4	1	291	345	409	754	118	327	10	6	334	112	+2	+0	-2	+2	+3	0.5
2008	23	AAA MLE	Oklahoma RedHawks	—	460	437	115	12	7	6	14	69	3	23	5	263	291	364	655	101	296	15	3	283	78	—	—	—	—	—	—
2009	24	AAA MLE	Oklahoma City RedHawks	—	537	510	123	12	3	4	14	61	3	23	3	241	266	300	566	59	257	11	3	245	52	—	—	—	—	—	—
2010	25	MLB MLE	New York Mets	—	134	128	34	6	1	0	4	23	0	1	0	266	288	328	616	62	314	17	3	274	72	-4	+0	-3	+1	+3	-0.4
2010	25	AA MLE	Frisco RoughRiders	—	35	32	6	0	0	0	2	8	0	0	0	188	235	188	423		215	23	6	182	9	—	—	—	—	—	—
2011	26	AAA MLE	Omaha Storm Chasers	—	259	245	52	10	4	2	10	37	0	7	1	212	243	310	553	98	233	14	4	234	45	—	—	—	—	—	—
2012	27	MLB MLE	San Francisco Giants	—	344	323	87	13	5	5	9	44	5	5	1	269	300	387	687	118	295	13	3	302	91	-4	+1	+1	+2	+7	0.6
2012	27	AAA MLE	Fresno Grizzlies	—	74	71	23	4	0	2	2	15	1	0	1	324	351	465	816	141	386	20	3	344	119	—	—	—	—	—	—
2013	28	MLB MLE	San Francisco Giants	—	236	226	62	9	2	1	3	33	1	1	0	274	287	345	632	71	311	14	1	275	72	-8	+0	+3	+1	+5	0.2
2014	29	MLB MLE	San Francisco Giants	—	204	195	50	9	0	0	6	23	0	1	0	256	279	303	581	46	285	11	3	257	60	-10	+0	+1	+1	+4	-0.4
2015	30	MLB MLE	San Francisco Giants	—	59	58	12	1	0	1	0	12	0	1	0	207	207	276	483	69	244	20	0	216	32	-5	+0	-1	+1	+1	-0.3
2015	30	AAA MLE	Sacramento River Cats	—	41	40	8	4	0	0	1	9	0	0	0	200	220	300	520	100	269	22	2	234	45	—	—	—	—	—	—
2005	20	AA MLE	Frisco RoughRiders	—	526	504	152	21	8	4	12	56	1	20	10	302	319	399	718	97	329	11	2	309	95	—	—	—	—	—	—
2005	20	AA RAW	Frisco RoughRiders	—	526	499	157	23	8	5	17	46	1	20	10	315	338	423	761	108	335	9	3	333	95	—	—	—	—	—	—
2006	21	AAA MLE	Oklahoma RedHawks	—	525	499	119	12	8	3	13	82	4	26	10	238	264	313	576	74	276	16	2	252	57	—	—	—	—	—	—
2006	21	AAA RAW	Oklahoma RedHawks	—	525	493	132	14	10	4	19	64	4	26	10	268	300	361	661	93	296	12	4	291	57	—	—	—	—	—	—
2008	23	AAA MLE	2 teams	—	580	547	147	19	10	6	21	81	5	27	6	269	302	373	675	104	305	14	4	294	85	—	—	—	—	—	—
2008	23	AAA RAW	2 teams	—	580	542	160	22	12	7	26	65	5	27	6	295	333	419	752	124	324	11	4	331	85	—	—	—	—	—	—
2009	24	AAA MLE	Oklahoma City RedHawks	—	537	510	123	12	3	4	14	61	3	23	3	241	266	300	566	59	264	11	3	245	52	—	—	—	—	—	—
2009	24	AAA RAW	Oklahoma City RedHawks	—	537	504	134	14	3	5	20	47	3	23	3	266	298	335	633	69	282	9	4	281	52	—	—	—	—	—	—
2010	25	MLB MLE	3 teams	—	260	248	62	10	2	0	9	48	0	4	1	250	276	306	583	56	308	18	3	255	59	-13	+0	-3	+1	+6	-0.9
2010	25	MLB RAW	3 teams	—	260	244	58	7	2	0	13	44	0	4	1	238	276	283	559	45	289	17	5	252	59	-13	+0	-3	+1	+6	-0.9
2011	26	AAA MLE	2 teams	—	420	398	83	15	6	3	16	60	1	17	5	209	241	299	540	90	237	14	4	234	45	—	—	—	—	—	—
2011	26	AAA RAW	2 teams	—	420	391	114	18	8	3	23	44	1	17	5	292	333	402	734	110	320	10	5	324	45	—	—	—	—	—	—
2012	27	MLB MLE	3 teams	—	451	426	118	18	5	8	12	64	6	5	2	277	306	399	705	122	306	14	3	309	96	-2	+0	+1	+2	+10	1.0
2012	27	MLB RAW	3 teams	—	451	422	122	19	5	7	16	57	6	5	2	289	324	408	732	118	317	13	4	321	96	-2	+0	+1	+2	+10	1.0
2013	28	MLB MLE	2 teams	—	285	273	74	11	2	1	4	40	2	1	1	271	287	337	624	66	312	14	1	275	72	-9	-0	+3	+1	+6	0.1
2013	28	MLB RAW	2 teams	—	285	272	73	10	2	1	5	36	2	1	1	268	287	331	618	62	304	13	2	272	72	-9	-0	+3	+1	+6	0.1
2014	29	MLB MLE	San Francisco Giants	—	204	195	50	9	0	0	6	23	0	1	0	256	279	303	581	46	287	11	3	257	60	-10	+0	+1	+1	+4	-0.4
2014	29	MLB RAW	San Francisco Giants	—	204	193	49	9	0	0	8	23	0	1	0	254	284	301	584	47	285	11	4	261	60	-10	+0	+1	+1	+4	-0.4
2015	30	MLB MLE	3 teams	—	115	113	23	6	0	1	1	24	0	1	0	204	211	283	494	80	250	21	1	223	37	-9	+0	-1	+1	+2	-0.6
2015	30	MLB RAW	3 teams	—	115	111	24	8	0	1	3	23	0	1	0	216	237	315	552	99	264	20	3	244	37	-9	+0	-1	+1	+2	-0.6
2016	31	INTL MLE	Leones del Escogido	—	15	14	3	1	0	0	1	1	0	0	1	214	267	286	552	71	231	7	7	—	—	—	—	—	—	—	—
2016	31	INTL RAW	Leones del Escogido	—	15	14	3	1	0	0	1	1	0	0	1	214	267	286	552	71	231	7	7	253	57	—	—	—	—	—	—
2005	20	AA MLE	Frisco RoughRiders	—	526	508	152	21	8	4	12	56	1	20	10	299	319	396	715	96	322	11	2	309	95	—	—	—	—	—	—
2006	21	AAA MLE	Oklahoma RedHawks	—	525	503	119	12	8	3	13	82	4	26	10	237	264	310	574	74	270	16	2	252	57	—	—	—	—	—	—
2008	23	AAA MLE	2 teams	—	580	549	147	19	10	6	21	81	5	27	6	268	302	372	674	104	302	14	4	294	85	—	—	—	—	—	—
2009	24	AAA MLE	Oklahoma City RedHawks	—	537	515	123	12	3	4	14	61	3	23	3	239	266	297	563	58	257	11	3	245	52	—	—	—	—	—	—
2010	25	MLB MLE	3 teams	—	260	249	62	10	2	0	9	48	0	4	1	249	276	305	581	56	294	18	3	255	59	—	—	—	—	—	—
2011	26	AAA MLE	2 teams	—	420	400	83	15	6	3	16	60	1	17	5	207	241	297	538	90	233	14	4	234	45	—	—	—	—	—	—
2012	27	MLB MLE	3 teams	—	451	430	118	18	5	8	12	64	6	5	2	274	306	395	702	121	311	14	3	309	96	—	—	—	—	—	—
2013	28	MLB MLE	2 teams	—	285	277	74	11	2	1	4	40	2	1	1	267	287	332	619	65	311	14	1	275	72	—	—	—	—	—	—
2014	29	MLB MLE	San Francisco Giants	—	204	196	50	9	0	0	6	23	0	1	0	255	279	301	580	46	285	11	3	257	60	—	—	—	—	—	—
2015	30	MLB MLE	3 teams	—	115	113	23	6	0	1	1	24	0	1	0	204	211	283	494	80	255	21	1	223	37	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1097	1033	273	45	11	7	36	147	8	13	2	264	294	349	644	85	300	13	3	284	69	-29	+2	-2	+8	+24	0.3
/ 162G	—	A+C		—	650	612	162	27	7	4	21	87	5	8	1	265	295	351	646	87	300	13	3	284	69	-17	+1	-1	+4	+14	0.2
Career	—	MLE		—	3918	3727	954	134	44	30	109	540	22	125	39	256	281	340	621	84	290	14	3	270	69	-29	+2	-2	+8	+24	0.3
/ 162G	—	MLE		—	650	618	158	22	7	5	18	90	4	21	6	256	281	338	619	83	290	14	3	270	69	-17	+1	-1	+4	+14	0.2

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 AAASacramento River Cats · 41 PAwOBA .306 → .234 (−72)K% 17.1% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.07%	÷1.047	×1.290	—	—	21.04%
BB% (unintentional) /PA	2.44%	÷0.960	×0.710	—	×0.962	1.74%
HBP% /PA	0.00%	—	×0.980	—	×0.962	0.00%
Singles /BIP	15.15%	÷1.003	×0.900	—	×0.962	13.08%
Doubles /BIP	18.18%	÷1.024	×0.810	—	×0.962	13.83%
Triples /BIP	0.00%	÷0.925	×0.810	—	×0.962	0.00%
Home runs /BIP	0.00%	÷0.982	×0.780	—	×0.962	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 101, 2B 105, 3B 85, K 109, BB 92 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average).

Result: wOBA .306 → .234; ISO .150 → .109; BABIP .333 → .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).

2012 AAAFresno Grizzlies · 74 PAwOBA .426 → .344 (−82)K% 14.9% → 20.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.86%	÷0.945	×1.290	—	—	20.30%
BB% (unintentional) /PA	4.05%	÷1.068	×0.710	—	×0.992	2.67%
HBP% /PA	1.35%	—	×0.980	—	×0.992	1.31%
Singles /BIP	35.59%	÷1.001	×0.900	×0.964	×0.992	30.59%
Doubles /BIP	8.47%	÷0.964	×0.810	×0.964	×0.992	6.81%
Triples /BIP	0.00%	÷0.940	×0.810	×0.964	×0.992	0.00%
Home runs /BIP	3.39%	÷0.834	×0.780	—	×0.992	3.14%

Factors used: league row PCL. Park (home-season share, regressed): HR 67, 1B 100, 2B 93, 3B 88, K 89, 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.964.

Result: wOBA .426 → .344; ISO .157 → .130; BABIP .456 → .386. 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 AAAOmaha Storm Chasers · 259 PAwOBA .270 → .234 (−36)K% 10.8% → 14.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.81%	÷0.970	×1.290	—	—	14.38%
BB% (unintentional) /PA	5.41%	÷1.028	×0.710	—	×1.003	3.74%
HBP% /PA	0.00%	—	×0.980	—	×1.003	0.00%
Singles /BIP	17.37%	÷0.929	×0.900	×1.017	×1.003	17.16%
Doubles /BIP	5.63%	÷1.033	×0.810	×1.017	×1.003	4.51%
Triples /BIP	1.88%	÷0.932	×0.810	×1.017	×1.003	1.67%
Home runs /BIP	1.41%	÷1.161	×0.780	—	×1.003	0.95%

Factors used: league row PCL. Park (home-season share, regressed): HR 132, 1B 86, 2B 107, 3B 86, K 94, BB 106 — 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 ×1.017.

Result: wOBA .270 → .234; ISO .120 → .094; BABIP .250 → .233. 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 AAFrisco RoughRiders · 35 PAwOBA .216 → .182 (−34)K% 20.0% → 24.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷1.014	×1.220	—	—	24.07%
BB% (unintentional) /PA	8.57%	÷1.083	×0.700	—	×0.988	5.47%
HBP% /PA	0.00%	—	×0.870	—	×0.988	0.00%
Singles /BIP	25.00%	÷1.014	×0.920	—	×0.988	22.40%
Doubles /BIP	0.00%	÷0.945	×0.840	—	×0.988	0.00%
Triples /BIP	0.00%	÷1.044	×0.940	—	×0.988	0.00%
Home runs /BIP	0.00%	÷1.365	×0.800	—	×0.988	0.00%

Factors used: league row TL. Park (home-season share, regressed): HR 173, 1B 103, 2B 89, 3B 109, K 103, BB 117 — 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).

Result: wOBA .216 → .182; ISO .000 → .000; BABIP .240 → .215. 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 AAAOklahoma City RedHawks · 537 PAwOBA .276 → .245 (−31)K% 8.8% → 11.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.75%	÷1.000	×1.290	—	—	11.29%
BB% (unintentional) /PA	3.72%	÷1.000	×0.710	—	×1.033	2.73%
HBP% /PA	0.56%	—	×0.980	—	×1.033	0.57%
Singles /BIP	24.51%	÷1.000	×0.900	×0.993	×1.033	22.63%
Doubles /BIP	3.06%	÷1.000	×0.810	×0.993	×1.033	2.55%
Triples /BIP	0.66%	÷1.000	×0.810	×0.993	×1.033	0.55%
Home runs /BIP	1.09%	÷1.000	×0.780	—	×1.033	0.88%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.993.

Result: wOBA .276 → .245; ISO .069 → .057; BABIP .282 → .257. 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).

2008 AAAOklahoma RedHawks · 460 PAwOBA .322 → .283 (−39)K% 11.5% → 14.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.52%	÷1.000	×1.290	—	—	14.86%
BB% (unintentional) /PA	4.13%	÷1.000	×0.710	—	×1.048	3.07%
HBP% /PA	0.65%	—	×0.980	—	×1.048	0.67%
Singles /BIP	25.59%	÷1.000	×0.900	×0.991	×1.048	23.93%
Doubles /BIP	3.96%	÷1.000	×0.810	×0.991	×1.048	3.33%
Triples /BIP	2.37%	÷1.000	×0.810	×0.991	×1.048	2.00%
Home runs /BIP	1.85%	÷1.000	×0.780	—	×1.048	1.51%

Factors used: league row PCL. 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 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 ×0.991.

Result: wOBA .322 → .283; ISO .125 → .103; BABIP .324 → .296. 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).

2006 AAAOklahoma RedHawks · 525 PAwOBA .285 → .252 (−33)K% 12.2% → 15.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.19%	÷1.000	×1.290	—	—	15.73%
BB% (unintentional) /PA	3.24%	÷1.000	×0.710	—	×1.050	2.41%
HBP% /PA	0.76%	—	×0.980	—	×1.050	0.78%
Singles /BIP	24.24%	÷1.000	×0.900	×0.983	×1.050	22.53%
Doubles /BIP	3.26%	÷1.000	×0.810	×0.983	×1.050	2.73%
Triples /BIP	2.33%	÷1.000	×0.810	×0.983	×1.050	1.95%
Home runs /BIP	0.93%	÷1.000	×0.780	—	×1.050	0.76%

Factors used: league row PCL. 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 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 ×0.983.

Result: wOBA .285 → .252; ISO .093 → .077; BABIP .296 → .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).

2005 AAFrisco RoughRiders · 526 PAwOBA .326 → .309 (−18)K% 8.7% → 10.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.75%	÷1.000	×1.220	—	—	10.67%
BB% (unintentional) /PA	3.04%	÷1.000	×0.700	—	×1.050	2.24%
HBP% /PA	0.19%	—	×0.870	—	×1.050	0.17%
Singles /BIP	26.71%	÷1.000	×0.920	×1.008	×1.050	26.02%
Doubles /BIP	5.08%	÷1.000	×0.840	×1.008	×1.050	4.52%
Triples /BIP	1.77%	÷1.000	×0.940	×1.008	×1.050	1.76%
Home runs /BIP	1.10%	÷1.000	×0.800	—	×1.050	0.93%

Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.008.

Result: wOBA .326 → .309; ISO .108 → .099; BABIP .335 → .322. 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 — .