Johneshwy Fargas

PosCF

B/TR/R

Born1994-12-15

Age (2027)32

No MLB projection yet. Career stats below are historical.

Overview

INTLROOKIE

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2023	28	INTLPuerto Rico	99	.207/.309/.329	2	9	77	—
2024	29	INTLCangrejeros d…	139	.231/.306/.339	2	12	79	—
2025	30	INTLPuerto Rico	167	.233/.304/.301	1	7	70	—

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)
2013	18	ROK	AZL Giants	—	90	77	23	4	0	0	9	11	3	8	3	299	393	351	744	52	348	12	10	342	64	—	—	—	—	—	—
2014	19	INTL	Gigantes de Carolina	—	28	26	6	0	0	0	2	6	0	2	1	231	286	231	516		300	21	7	244	51	—	—	—	—	—	—
2015	20	A	Augusta GreenJackets	—	458	410	114	19	2	2	28	65	16	59	19	278	348	349	697	71	326	14	6	318	67	—	—	—	—	—	—
2015	20	INTL	Gigantes de Carolina	—	76	68	16	2	1	0	4	15	2	8	0	235	297	294	591	59	302	20	5	266	66	—	—	—	—	—	—
2016	21	A+	San Jose Giants	—	153	134	23	0	3	0	12	40	3	9	7	172	255	216	471	45	245	26	8	219	8	—	—	—	—	—	—
2016	21	A	Augusta GreenJackets	—	323	291	80	11	3	2	24	57	5	32	9	275	341	354	695	79	335	18	7	314	55	—	—	—	—	—	—
2016	21	INTL	Gigantes de Carolina	—	76	68	9	1	0	1	4	13	1	0	1	132	192	191	383	59	145	17	5	174	4	—	—	—	—	—	—
2017	22	A+	San Jose Giants	—	108	103	20	4	2	2	3	24	1	5	1	194	224	330	554	136	231	22	3	243	22	—	—	—	—	—	—
2017	22	A	Augusta GreenJackets	—	131	117	24	6	1	1	6	24	7	10	7	205	285	299	584	94	250	18	5	269	30	—	—	—	—	—	—
2017	22	INTL	Gigantes de Carolina	—	41	36	8	0	0	0	3	6	2	3	1	222	317	222	539		267	15	7	263	64	—	—	—	—	—	—
2018	23	A+	San Jose Giants	—	315	278	80	9	2	8	21	49	9	47	16	288	357	421	778	133	321	16	7	343	82	—	—	—	—	—	—
2018	23	INTL	Puerto Rico	—	56	50	16	1	0	1	4	7	2	1	1	320	393	400	793	80	357	12	7	362	131	—	—	—	—	—	—
2019	24	AA	Richmond Flying Squirrels	—	466	413	103	10	5	5	33	94	14	50	23	249	326	334	660	85	311	20	7	300	53	—	—	—	—	—	—
2019	24	INTL	Gigantes de Carolina	—	124	116	24	4	0	2	5	32	3	8	6	207	258	293	551	86	268	26	4	252	57	—	—	—	—	—	—
2020	25	INTL	Puerto Rico	—	89	75	23	7	0	4	7	23	5	9	3	307	402	560	962	253	380	26	8	413	165	—	—	—	—	—	—
2021	26	MLB	Chicago Cubs	—	54	52	13	3	2	0	1	15	0	1	2	250	264	385	649	135	351	28	2	278	67	-2	-1	-0	+1	+1	-0.0
2021	26	AAA	Iowa Cubs	—	122	114	28	6	1	3	8	34	0	14	2	246	295	395	690	149	325	28	7	307	48	—	—	—	—	—	—
2021	26	AA	Binghamton Rumble Ponies	—	18	14	3	0	0	0	3	4	1	3	0	214	389	214	603		300	22	17	308	51	—	—	—	—	—	—
2021	26	A	St. Lucie Mets	—	15	13	3	0	0	3	1	3	1	0	0	231	333	923	1.256	692		20	7	512	124	—	—	—	—	—	—
2021	26	INTL	Puerto Rico	—	143	126	33	6	2	1	10	26	5	11	3	262	340	365	706	103	317	18	7	317	101	—	—	—	—	—	—
2022	27	AAA	Syracuse Mets	—	146	132	30	5	0	5	6	39	5	10	2	227	287	379	666	152	281	27	4	293	46	—	—	—	—	—	—
2022	27	AA	Binghamton Rumble Ponies	—	155	127	25	4	0	3	17	35	8	18	0	197	329	299	628	102	242	23	11	293	49	—	—	—	—	—	—
2022	27	INTL	Criollos de Caguas	—	209	181	35	7	1	0	14	34	13	12	5	193	298	243	541	50	238	16	7	260	62	—	—	—	—	—	—
2023	28	INTL	Puerto Rico	—	99	82	17	4	0	2	6	17	6	9	3	207	309	329	638	122	227	17	6	281	77	—	—	—	—	—	—
2024	29	INTL	Cangrejeros de Santurce	—	139	121	28	7	0	2	8	23	5	12	1	231	306	339	645	107	268	17	6	285	79	—	—	—	—	—	—
2025	30	INTL	Puerto Rico	—	167	146	34	7	0	1	8	27	7	7	2	233	304	301	606	68	270	16	5	271	70	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	54	52	13	3	2	0	1	15	0	1	2	250	264	385	649	135	351	28	2	278	74	-2	-1	-0	+1	+1	0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	18	ROK MLE	AZL Giants	—	90	80	19	3	0	0	6	16	3	8	3	237	315	275	590	38	293	18	7	263	64	—	—	—	—	—	—
2015	20	A MLE	Augusta GreenJackets	—	458	419	105	15	2	2	19	87	16	59	19	251	308	310	619	60	302	19	4	267	67	—	—	—	—	—	—
2016	21	A+ MLE	San Jose Giants	—	153	137	21	0	3	0	9	54	3	9	7	153	221	197	419	44	232	35	6	180	8	—	—	—	—	—	—
2016	21	A MLE	Augusta GreenJackets	—	323	299	67	9	3	2	16	75	5	32	9	224	275	294	569	70	286	23	5	249	55	—	—	—	—	—	—
2017	22	A+ MLE	San Jose Giants	—	108	104	18	3	2	2	2	32	1	5	1	173	196	298	494	125	214	30	2	200	22	—	—	—	—	—	—
2017	22	A MLE	Augusta GreenJackets	—	131	119	21	5	1	1	4	34	7	10	7	176	246	261	507	84	222	26	3	212	30	—	—	—	—	—	—
2018	23	A+ MLE	San Jose Giants	—	315	284	72	7	2	8	15	68	9	47	16	254	312	377	688	123	289	22	5	290	82	—	—	—	—	—	—
2019	24	AA MLE	Richmond Flying Squirrels	—	466	423	91	9	4	4	23	117	14	50	23	215	278	284	562	69	278	25	5	247	53	—	—	—	—	—	—
2021	26	MLB MLE	Chicago Cubs	—	54	52	13	3	2	0	1	15	0	1	2	250	264	385	649	135	351	28	2	267	67	-2	-1	-0	+1	+1	-0.0
2021	26	AAA MLE	Iowa Cubs	—	122	117	24	5	1	2	5	40	0	14	2	205	238	316	554	111	290	33	4	239	48	—	—	—	—	—	—
2021	26	AA MLE	Binghamton Rumble Ponies	—	18	15	3	0	0	0	2	5	1	3	0	200	333	200	533		264	28	11	244	51	—	—	—	—	—	—
2021	26	A MLE	St. Lucie Mets	—	15	13	2	0	0	2	1	4	1	0	0	154	267	615	882	462		27	7	352	124	—	—	—	—	—	—
2022	27	AAA MLE	Syracuse Mets	—	146	135	26	4	0	3	3	49	5	10	2	193	238	289	527	96	264	34	2	236	46	—	—	—	—	—	—
2022	27	AA MLE	Binghamton Rumble Ponies	—	155	133	23	3	0	3	11	42	8	18	0	173	276	263	539	90	216	27	7	240	49	—	—	—	—	—	—
2013	18	ROK MLE	AZL Giants	—	90	80	19	3	0	0	6	16	3	8	3	237	315	275	590	38	297	18	7	263	64	—	—	—	—	—	—
2013	18	ROK RAW	AZL Giants	—	90	77	23	4	0	0	9	11	3	8	3	299	393	351	744	52	348	12	10	342	64	—	—	—	—	—	—
2014	19	INTL MLE	Gigantes de Carolina	—	28	26	6	0	0	0	2	6	0	2	1	231	286	231	516		300	21	7	—	—	—	—	—	—	—	—
2014	19	INTL RAW	Gigantes de Carolina	—	28	26	6	0	0	0	2	6	0	2	1	231	286	231	516		300	21	7	244	51	—	—	—	—	—	—
2015	20	A MLE	2 teams	—	534	488	121	17	2	2	22	102	18	67	19	248	305	303	608	55	309	19	4	267	67	—	—	—	—	—	—
2015	20	A RAW	2 teams	—	534	478	130	21	3	2	32	80	18	67	19	272	341	341	682	69	322	15	6	310	67	—	—	—	—	—	—
2016	21	A MLE	3 teams	—	552	505	102	11	6	2	28	149	9	41	17	202	256	259	516	57	281	27	5	227	40	—	—	—	—	—	—
2016	21	A RAW	3 teams	—	552	493	112	12	6	3	40	110	9	41	17	227	297	294	591	67	285	20	7	269	40	—	—	—	—	—	—
2017	22	A MLE	3 teams	—	280	261	44	9	3	3	7	76	10	18	9	169	219	261	480	92	224	27	2	207	26	—	—	—	—	—	—
2017	22	A RAW	3 teams	—	280	256	52	10	3	3	12	54	10	18	9	203	266	301	567	98	245	19	4	258	26	—	—	—	—	—	—
2018	23	A+ MLE	2 teams	—	371	335	84	9	2	9	18	81	11	48	17	251	310	370	681	119	302	22	5	290	82	—	—	—	—	—	—
2018	23	A+ RAW	2 teams	—	371	328	96	10	2	9	25	56	11	48	17	293	363	418	780	125	327	15	7	346	82	—	—	—	—	—	—
2019	24	AA MLE	2 teams	—	590	538	114	11	5	5	29	149	17	58	29	212	274	279	553	67	283	25	5	247	53	—	—	—	—	—	—
2019	24	AA RAW	2 teams	—	590	529	127	14	5	7	38	126	17	58	29	240	312	325	637	85	302	21	6	290	53	—	—	—	—	—	—
2020	25	INTL MLE	Puerto Rico	—	89	75	23	7	0	4	7	23	5	9	3	307	402	560	962	253	380	26	8	—	—	—	—	—	—	—	—
2020	25	INTL RAW	Puerto Rico	—	89	75	23	7	0	4	7	23	5	9	3	307	402	560	962	253	380	26	8	413	165	—	—	—	—	—	—
2021	26	INTL MLE	5 teams	—	352	328	70	14	4	7	14	107	7	29	7	213	261	345	605	131	292	30	4	255	59	—	—	—	—	—	—
2021	26	INTL RAW	5 teams	—	352	319	80	15	5	7	23	82	7	29	7	251	315	395	710	144	315	23	7	316	59	—	—	—	—	—	—
2022	27	INTL MLE	3 teams	—	510	453	84	13	0	10	24	154	26	40	7	185	266	280	547	95	253	30	5	238	47	—	—	—	—	—	—
2022	27	INTL RAW	3 teams	—	510	440	90	16	1	8	37	108	26	40	7	205	304	300	604	95	251	21	7	280	47	—	—	—	—	—	—
2023	28	INTL MLE	Puerto Rico	—	99	82	17	4	0	2	6	17	6	9	3	207	309	329	638	122	227	17	6	—	—	—	—	—	—	—	—
2023	28	INTL RAW	Puerto Rico	—	99	82	17	4	0	2	6	17	6	9	3	207	309	329	638	122	227	17	6	281	77	—	—	—	—	—	—
2024	29	INTL MLE	Cangrejeros de Santurce	—	139	121	28	7	0	2	8	23	5	12	1	231	306	339	645	107	268	17	6	—	—	—	—	—	—	—	—
2024	29	INTL RAW	Cangrejeros de Santurce	—	139	121	28	7	0	2	8	23	5	12	1	231	306	339	645	107	268	17	6	285	79	—	—	—	—	—	—
2025	30	INTL MLE	Puerto Rico	—	167	146	34	7	0	1	8	27	7	7	2	233	304	301	606	68	270	16	5	—	—	—	—	—	—	—	—
2025	30	INTL RAW	Puerto Rico	—	167	146	34	7	0	1	8	27	7	7	2	233	304	301	606	68	270	16	5	271	70	—	—	—	—	—	—
2013	18	ROK MLE	AZL Giants	—	90	81	19	3	0	0	6	16	3	8	3	235	315	272	586	37	293	18	7	263	64	—	—	—	—	—	—
2015	20	A MLE	2 teams	—	534	489	121	17	2	2	22	102	18	67	19	247	305	303	608	55	302	19	4	267	67	—	—	—	—	—	—
2016	21	A MLE	3 teams	—	552	510	102	11	6	2	28	149	9	41	17	200	256	257	513	57	269	27	5	227	40	—	—	—	—	—	—
2017	22	A MLE	3 teams	—	280	261	44	9	3	3	7	76	10	18	9	169	219	261	480	92	218	27	2	207	26	—	—	—	—	—	—
2018	23	A+ MLE	2 teams	—	371	339	84	9	2	9	18	81	11	48	17	248	310	366	676	118	289	22	5	290	82	—	—	—	—	—	—
2019	24	AA MLE	2 teams	—	590	539	114	11	5	5	29	149	17	58	29	212	274	278	552	67	278	25	5	247	53	—	—	—	—	—	—
2021	26	INTL MLE	5 teams	—	352	328	70	14	4	7	14	107	7	29	7	213	261	345	605	131	283	30	4	255	59	—	—	—	—	—	—
2022	27	INTL MLE	3 teams	—	510	455	84	13	0	10	24	154	26	40	7	185	266	279	546	95	239	30	5	238	47	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	54	52	13	3	2	0	1	15	0	1	2	250	264	385	649	135	351	28	2	278	31	-2	-1	-0	+1	+1	0.0
/ 162G	—	A+C		—	650	626	156	36	24	0	12	181	0	12	24	249	263	383	647	134	351	28	2	278	31	-20	-7	-2	+15	+14	0.0
Career	—	MLE		—	3801	3438	746	112	22	47	179	930	124	348	118	217	280	303	584	86	281	24	5	214	31	-2	-1	-0	+1	+1	0.0
/ 162G	—	MLE		—	650	588	128	19	4	8	31	159	21	60	20	218	281	304	586	87	282	24	5	214	31	-20	-7	-2	+15	+14	0.0

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 AABinghamton Rumble Ponies · 155 PAwOBA .290 → .240 (−49)K% 22.6% → 27.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.58%	÷1.017	×1.220	—	—	27.08%
BB% (unintentional) /PA	10.97%	÷1.057	×0.700	—	×0.968	7.03%
HBP% /PA	5.16%	—	×0.850	—	×0.968	4.25%
Singles /BIP	19.57%	÷0.983	×0.970	×0.958	×0.968	17.90%
Doubles /BIP	4.35%	÷0.988	×0.860	×0.958	×0.968	3.51%
Triples /BIP	0.00%	÷1.150	×0.950	×0.958	×0.968	0.00%
Home runs /BIP	3.26%	÷0.895	×0.780	—	×0.968	2.75%

Factors used: league row EL. Park (home-season share, regressed): HR 79, 1B 97, 2B 98, 3B 130, K 103, BB 111 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.958.

Result: wOBA .290 → .240; ISO .102 → .089; BABIP .242 → .216. 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).

2022 AAASyracuse Mets · 146 PAwOBA .284 → .236 (−48)K% 26.7% → 33.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.71%	÷0.961	×1.200	—	—	33.36%
BB% (unintentional) /PA	3.42%	÷1.019	×0.690	—	×0.992	2.30%
HBP% /PA	3.42%	—	×0.940	—	×0.992	3.19%
Singles /BIP	21.51%	÷0.953	×0.930	×1.012	×0.992	21.07%
Doubles /BIP	5.38%	÷0.951	×0.830	×1.012	×0.992	4.71%
Triples /BIP	0.00%	÷1.000	×0.970	×1.012	×0.992	0.00%
Home runs /BIP	5.38%	÷1.033	×0.700	—	×0.992	3.61%

Factors used: league row International League. Park (home-season share, regressed): HR 107, 1B 91, 2B 90, 3B 100, K 92, BB 104 — 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 ×1.012.

Result: wOBA .284 → .236; ISO .152 → .105; BABIP .281 → .264. 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 AAAIowa Cubs · 122 PAwOBA .295 → .239 (−56)K% 27.9% → 32.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.87%	÷1.032	×1.200	—	—	32.40%
BB% (unintentional) /PA	5.74%	÷1.023	×0.690	—	×1.003	3.88%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	22.50%	÷1.039	×0.930	×1.016	×1.003	20.52%
Doubles /BIP	7.50%	÷0.963	×0.830	×1.016	×1.003	6.59%
Triples /BIP	1.25%	÷0.988	×0.920	×1.016	×1.003	1.19%
Home runs /BIP	3.75%	÷1.081	×0.700	—	×1.003	2.44%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 108, 2B 93, 3B 98, K 106, BB 105 — 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 ×1.016.

Result: wOBA .295 → .239; ISO .149 → .111; BABIP .325 → .290. 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 AABinghamton Rumble Ponies · 18 PAwOBA .302 → .244 (−58)K% 22.2% → 26.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷1.017	×1.220	—	—	26.65%
BB% (unintentional) /PA	16.67%	÷1.018	×0.690	—	×0.978	11.04%
HBP% /PA	5.56%	—	×0.850	—	×0.978	4.62%
Singles /BIP	30.00%	÷1.045	×0.940	—	×0.978	26.39%
Doubles /BIP	0.00%	÷1.053	×0.870	—	×0.978	0.00%
Triples /BIP	0.00%	÷1.060	×0.920	—	×0.978	0.00%
Home runs /BIP	0.00%	÷0.995	×0.780	—	×0.978	0.00%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 109, 2B 111, 3B 112, K 103, BB 104 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).

Result: wOBA .302 → .244; ISO .000 → .000; BABIP .300 → .264. 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 ASt. Lucie Mets · 15 PAwOBA .495 → .352 (−143)K% 20.0% → 28.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷0.945	×1.360	—	—	28.78%
BB% (unintentional) /PA	6.67%	÷1.041	×0.690	—	×0.950	4.20%
HBP% /PA	6.67%	—	×0.780	—	×0.950	4.94%
Singles /BIP	0.00%	÷1.028	×0.920	—	×0.950	0.00%
Doubles /BIP	0.00%	÷0.935	×0.830	—	×0.950	0.00%
Triples /BIP	0.00%	÷1.137	×0.910	—	×0.950	0.00%
Home runs /BIP	30.00%	÷0.988	×0.800	—	×0.950	23.08%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 98, 1B 106, 2B 87, 3B 127, K 89, BB 108 — applied at half strength. Age: age 27 vs a level average of 22.0 → −5.0% on BB/HBP/hit rates (5.0 yr older than average).

Result: wOBA .495 → .352; ISO .692 → .496; BABIP .000 → .000. 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 AARichmond Flying Squirrels · 466 PAwOBA .293 → .247 (−46)K% 20.2% → 25.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.17%	÷0.975	×1.220	—	—	25.23%
BB% (unintentional) /PA	7.08%	÷1.011	×0.700	—	×0.998	4.89%
HBP% /PA	3.00%	—	×0.850	—	×0.998	2.55%
Singles /BIP	26.02%	÷1.020	×0.970	×0.950	×0.998	23.45%
Doubles /BIP	3.13%	÷0.916	×0.860	×0.950	×0.998	2.79%
Triples /BIP	1.57%	÷1.147	×0.950	×0.950	×0.998	1.23%
Home runs /BIP	1.57%	÷0.890	×0.780	—	×0.998	1.37%

Factors used: league row EL. Park (home-season share, regressed): HR 78, 1B 104, 2B 83, 3B 129, K 95, BB 102 — applied at half strength. Age: age 25 vs a level average of 24.8 → −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 .293 → .247; ISO .085 → .071; BABIP .311 → .278. 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+San Jose Giants · 315 PAwOBA .337 → .290 (−47)K% 15.6% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.56%	÷0.959	×1.340	—	—	21.74%
BB% (unintentional) /PA	6.67%	÷0.971	×0.710	—	×0.988	4.82%
HBP% /PA	2.86%	—	×0.790	—	×0.988	2.23%
Singles /BIP	26.64%	÷0.987	×0.910	×1.002	×0.988	24.31%
Doubles /BIP	3.93%	÷0.991	×0.820	×1.002	×0.988	3.22%
Triples /BIP	0.87%	÷0.900	×0.760	×1.002	×0.988	0.73%
Home runs /BIP	3.49%	÷0.924	×0.920	—	×0.988	3.44%

Factors used: league row CAL. Park (home-season share, regressed): HR 85, 1B 97, 2B 98, 3B 80, K 92, BB 94 — 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 ×1.002.

Result: wOBA .337 → .290; ISO .133 → .121; BABIP .321 → .289. 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 AAugusta GreenJackets · 131 PAwOBA .262 → .212 (−50)K% 18.3% → 25.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.32%	÷0.954	×1.340	—	—	25.74%
BB% (unintentional) /PA	4.58%	÷0.997	×0.660	—	×0.990	3.00%
HBP% /PA	5.34%	—	×0.770	—	×0.990	4.07%
Singles /BIP	17.20%	÷1.010	×0.920	×1.005	×0.990	15.60%
Doubles /BIP	6.45%	÷0.989	×0.820	×1.005	×0.990	5.32%
Triples /BIP	1.08%	÷1.016	×0.940	×1.005	×0.990	0.99%
Home runs /BIP	1.08%	÷0.818	×0.820	—	×0.990	1.07%

Factors used: league row SAL. Park (home-season share, regressed): HR 64, 1B 102, 2B 98, 3B 103, K 91, BB 99 — 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 ×1.005.

Result: wOBA .262 → .212; ISO .094 → .079; BABIP .250 → .222. 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 — .