Michael Hermosillo

PosRF

B/TR/R

Born1995-01-17

Age (2027)32

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	26	AAACHC	186	.306/.449/.592	10	8	129	—	.252/.373/.458
2021	26	MLBCHC	38	.194/.237/.500	3	0	104	-0.1
2022	27	AAACHC	26	.400/.520/.800	1	1	200	—	.381/.480/.762
2022	27	MLBCHC	73	.115/.250/.148	0	1	24	-0.4
2023	28	AAA/INTL2 orgs	280	.206/.292/.401	14	9	49	—	.170/.238/.316
2024	29	No MLB games played
2025	30	No MLB games played
2026	31	No MLB games played

Last 3 seasons WAR -0.4

Contract

No contract data on file.

Skills · percentileMiLB Statcast 2023 AAA

Max EV63

Speed60

K%45

Z-Con%37

Whiff%35

Chase%24

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 Angels	—	18	16	6	0	0	0	1	3	1	1	0	375	444	375	819		462	17	6	381	80	—	—	—	—	—	—
2014	19	ROK	Orem Owlz	—	216	180	44	10	4	3	29	48	4	10	4	244	362	394	756	150	313	22	13	339	50	—	—	—	—	—	—
2015	20	A	Burlington Bees	—	319	261	57	7	0	0	45	49	5	19	13	218	344	245	589	27	264	15	14	280	46	—	—	—	—	—	—
2015	20	ROK	Orem Owlz	—	57	51	15	3	0	0	6	10	0	5	3	294	368	353	721	59	366	18	11	332	43	—	—	—	—	—	—
2016	21	A+	Inland Empire 66ers	—	174	149	46	7	4	4	16	30	6	6	7	309	398	490	888	181	359	17	9	387	109	—	—	—	—	—	—
2016	21	A	Burlington Bees	—	160	138	45	8	1	2	18	22	2	4	3	326	411	442	853	116	377	14	11	380	101	—	—	—	—	—	—
2016	21	INTL	Scottsdale Scorpions	—	34	30	8	2	1	0	3	4	1	1	0	267	353	400	753	133	308	12	9	339	116	—	—	—	—	—	—
2017	22	AAA	Salt Lake Bees	—	129	115	33	6	1	5	7	28	3	9	2	287	344	487	831	200	337	22	5	355	93	—	—	—	—	—	—
2017	22	AA	Mobile BayBears	—	340	278	69	13	2	4	40	73	12	21	9	248	367	353	719	104	316	21	12	324	76	—	—	—	—	—	—
2017	22	A+	Inland Empire 66ers	—	64	53	17	6	0	0	9	15	2	5	2	321	438	434	871	113	447	23	14	397	105	—	—	—	—	—	—
2018	23	MLB	Los Angeles Angels	—	62	57	12	4	0	1	3	17	2	0	1	211	274	333	608	123	282	27	5	276	75	-2	-0	+0	-4	+1	-0.5
2018	23	AAA	Salt Lake Bees	—	323	273	73	14	4	12	30	87	11	10	5	267	363	480	843	212	341	27	9	363	81	—	—	—	—	—	—
2019	24	MLB	Los Angeles Angels	—	46	36	5	1	1	0	5	19	4	2	0	139	311	222	533	83	278	41	11	262	64	-2	+0	+3	-4	+1	-0.2
2019	24	AAA	Salt Lake Bees	—	296	259	63	8	3	15	26	88	9	6	4	243	333	471	804	228	304	30	9	353	66	—	—	—	—	—	—
2021	26	MLB	Chicago Cubs	—	38	36	7	2	0	3	1	12	1	0	0	194	237	500	737	306	190	32	3	317	104	+0	+0	+1	-2	+1	-0.1
2021	26	AAA	Iowa Cubs	—	186	147	45	10	1	10	26	48	12	8	3	306	449	592	1.040	286	389	26	14	451	129	—	—	—	—	—	—
2022	27	MLB	Chicago Cubs	—	73	61	7	2	0	0	7	27	4	1	0	115	250	148	398	33	206	37	10	204	24	-7	+0	+1	+0	+2	-0.4
2022	27	AAA	Iowa Cubs	—	26	20	8	3	1	1	4	7	1	1	1	400	520	800	1.320	400	538	27	15	530	200	—	—	—	—	—	—
2023	28	AAA	Scranton/Wilkes-Barre RailRiders	—	234	207	46	5	0	13	15	55	9	8	2	222	303	435	738	213	232	24	6	324	51	—	—	—	—	—	—
2023	28	INTL	Yaquis de Obregon	—	46	40	5	1	0	1	4	10	2	1	0	125	239	225	464	100	138	22	9	225	38	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	219	190	31	9	1	4	16	75	11	3	1	163	267	284	551	121	241	34	7	256	60	-11	+0	+5	-10	+5	-1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	18	ROK MLE	AZL Angels	—	18	16	5	0	0	0	1	4	1	1	0	312	389	312	701		387	22	6	287	80	—	—	—	—	—	—
2014	19	ROK MLE	Orem Owlz	—	216	191	34	7	3	2	18	69	4	10	4	178	263	277	540	99	256	32	8	242	50	—	—	—	—	—	—
2015	20	A MLE	Burlington Bees	—	319	272	51	6	0	0	34	65	5	19	13	188	289	210	499	22	235	20	11	236	46	—	—	—	—	—	—
2015	20	ROK MLE	Orem Owlz	—	57	53	11	2	0	0	4	14	0	5	3	208	263	245	508	38	291	25	7	232	43	—	—	—	—	—	—
2016	21	A+ MLE	Inland Empire 66ers	—	174	153	42	6	3	4	12	40	6	6	7	275	351	431	782	157	323	23	7	330	109	—	—	—	—	—	—
2016	21	A MLE	Burlington Bees	—	160	144	42	7	1	1	12	32	2	4	3	292	354	375	729	83	358	20	8	318	101	—	—	—	—	—	—
2017	22	AAA MLE	Salt Lake Bees	—	129	117	30	5	1	4	5	36	3	9	2	256	304	419	723	162	316	28	4	306	93	—	—	—	—	—	—
2017	22	AA MLE	Mobile BayBears	—	340	289	66	11	2	4	29	89	12	21	9	228	324	322	646	93	287	26	9	281	76	—	—	—	—	—	—
2017	22	A+ MLE	Inland Empire 66ers	—	64	56	15	5	0	0	6	21	2	5	2	268	359	357	717	89	426	33	9	324	105	—	—	—	—	—	—
2018	23	MLB MLE	Los Angeles Angels	—	62	57	12	4	0	1	3	17	2	0	1	211	274	333	608	123	282	27	5	279	75	-2	-0	+0	-4	+1	-0.5
2018	23	AAA MLE	Salt Lake Bees	—	323	283	59	11	3	10	20	112	11	10	5	208	287	375	661	166	281	35	6	288	81	—	—	—	—	—	—
2019	24	MLB MLE	Los Angeles Angels	—	46	36	5	1	1	0	5	19	4	2	0	139	311	222	533	83	278	41	11	263	64	-2	+0	+3	-4	+1	-0.2
2019	24	AAA MLE	Salt Lake Bees	—	296	265	47	5	2	10	20	112	9	6	4	177	259	325	583	147	258	38	7	266	66	—	—	—	—	—	—
2021	26	MLB MLE	Chicago Cubs	—	38	36	7	2	0	3	1	12	1	0	0	194	237	500	737	306	190	32	3	322	104	+0	+0	+1	-2	+1	-0.1
2021	26	AAA MLE	Iowa Cubs	—	186	155	39	9	1	7	18	56	12	8	3	252	373	458	831	206	339	30	10	359	129	—	—	—	—	—	—
2022	27	MLB MLE	Chicago Cubs	—	73	61	7	2	0	0	7	27	4	1	0	115	250	148	398	33	206	37	10	203	24	-7	+0	+1	+0	+2	-0.4
2022	27	AAA MLE	Iowa Cubs	—	26	21	8	3	1	1	3	9	1	1	1	381	480	762	1.242	381	476	35	12	464	200	—	—	—	—	—	—
2023	28	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	234	212	36	4	0	9	10	66	9	8	2	170	238	316	554	146	193	28	4	244	51	—	—	—	—	—	—
2013	18	ROK MLE	AZL Angels	—	18	16	5	0	0	0	1	4	1	1	0	312	389	312	701		417	22	6	287	80	—	—	—	—	—	—
2013	18	ROK RAW	AZL Angels	—	18	16	6	0	0	0	1	3	1	1	0	375	444	375	819		462	17	6	381	80	—	—	—	—	—	—
2014	19	ROK MLE	Orem Owlz	—	216	191	34	7	3	2	18	69	4	10	4	178	263	277	540	99	262	32	8	242	50	—	—	—	—	—	—
2014	19	ROK RAW	Orem Owlz	—	216	180	44	10	4	3	29	48	4	10	4	244	362	394	756	150	313	22	13	339	50	—	—	—	—	—	—
2015	20	A MLE	2 teams	—	376	325	63	8	0	0	38	79	5	24	16	194	288	218	507	25	252	21	10	235	45	—	—	—	—	—	—
2015	20	A RAW	2 teams	—	376	312	72	10	0	0	51	59	5	24	16	231	348	263	611	32	280	16	14	288	45	—	—	—	—	—	—
2016	21	A+ MLE	3 teams	—	368	328	92	14	4	6	26	79	9	11	10	280	350	402	752	122	351	21	7	324	106	—	—	—	—	—	—
2016	21	A+ RAW	3 teams	—	368	317	99	17	6	6	37	56	9	11	10	312	399	461	860	148	362	15	10	380	106	—	—	—	—	—	—
2017	22	AA MLE	3 teams	—	533	462	111	21	3	8	40	145	17	35	13	240	324	351	674	110	327	27	8	292	84	—	—	—	—	—	—
2017	22	AA RAW	3 teams	—	533	446	119	25	3	9	56	116	17	35	13	267	370	397	767	130	336	22	11	340	84	—	—	—	—	—	—
2018	23	AAA MLE	2 teams	—	385	340	71	15	3	11	23	129	13	10	6	209	285	368	652	159	293	34	6	287	80	—	—	—	—	—	—
2018	23	AAA RAW	2 teams	—	385	330	85	18	4	13	33	104	13	10	6	258	348	455	803	197	330	27	9	349	80	—	—	—	—	—	—
2019	24	AAA MLE	2 teams	—	342	301	53	7	3	10	25	131	13	8	4	176	268	319	587	143	264	38	7	266	66	—	—	—	—	—	—
2019	24	AAA RAW	2 teams	—	342	295	68	9	4	15	31	107	13	8	4	231	330	441	771	210	301	31	9	341	66	—	—	—	—	—	—
2021	26	AAA MLE	2 teams	—	224	191	46	11	1	10	19	68	13	8	3	241	350	466	816	225	316	30	8	353	125	—	—	—	—	—	—
2021	26	AAA RAW	2 teams	—	224	183	52	12	1	13	27	60	13	8	3	284	413	574	986	290	351	27	12	429	125	—	—	—	—	—	—
2022	27	MLB MLE	2 teams	—	99	82	15	5	1	1	10	36	5	2	1	183	309	305	614	122	304	36	10	272	70	-4	+0	+1	+0	+2	-0.0
2022	27	MLB RAW	2 teams	—	99	81	15	5	1	1	11	34	5	2	1	185	320	309	628	123	298	34	11	290	70	-4	+0	+1	+0	+2	-0.0
2023	28	AAA MLE	2 teams	—	280	255	43	5	0	10	11	79	11	9	2	169	235	306	541	137	195	28	4	244	51	—	—	—	—	—	—
2023	28	AAA RAW	2 teams	—	280	247	51	6	0	14	19	65	11	9	2	206	292	401	693	194	216	23	7	308	51	—	—	—	—	—	—
2013	18	ROK MLE	AZL Angels	—	18	16	5	0	0	0	1	4	1	1	0	312	389	312	701		387	22	6	287	80	—	—	—	—	—	—
2014	19	ROK MLE	Orem Owlz	—	216	192	34	7	3	2	18	69	4	10	4	177	263	276	539	99	256	32	8	242	50	—	—	—	—	—	—
2015	20	A MLE	2 teams	—	376	330	63	8	0	0	38	79	5	24	16	191	288	215	503	24	243	21	10	235	45	—	—	—	—	—	—
2016	21	A+ MLE	3 teams	—	368	330	92	14	4	6	26	79	9	11	10	279	350	400	750	121	340	21	7	324	106	—	—	—	—	—	—
2017	22	AA MLE	3 teams	—	533	471	111	21	3	8	40	145	17	35	13	236	324	344	668	108	311	27	8	292	84	—	—	—	—	—	—
2018	23	AAA MLE	2 teams	—	385	346	71	15	3	11	23	129	13	10	6	205	285	361	646	156	281	34	6	287	80	—	—	—	—	—	—
2019	24	AAA MLE	2 teams	—	342	301	53	7	3	10	25	131	13	8	4	176	268	319	587	143	261	38	7	266	66	—	—	—	—	—	—
2021	26	AAA MLE	2 teams	—	224	190	46	11	1	10	19	68	13	8	3	242	350	468	818	226	314	30	8	353	125	—	—	—	—	—	—
2022	27	MLB MLE	2 teams	—	99	84	15	5	1	1	10	36	5	2	1	179	309	298	607	119	277	36	10	272	70	—	—	—	—	—	—
2023	28	AAA MLE	2 teams	—	280	256	43	5	0	10	11	79	11	9	2	168	235	305	539	137	193	28	4	244	51	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	219	190	31	9	1	4	16	75	11	3	1	163	267	284	551	121	241	34	7	256	76	-11	+0	+5	-10	+5	-1.1
/ 162G	—	A+C		—	650	564	92	27	3	12	47	223	33	9	3	163	267	285	553	122	241	34	7	256	76	-31	+1	+14	-29	+14	-3.2
Career	—	MLE		—	2841	2491	533	93	18	58	211	819	91	118	59	214	299	336	635	122	289	29	7	280	76	-11	+0	+5	-10	+5	-1.1
/ 162G	—	MLE		—	650	570	121	21	4	13	48	187	21	27	13	212	297	332	629	119	287	29	7	280	76	-31	+1	+14	-29	+14	-3.2

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.

2023 AAAScranton/Wilkes-Barre RailRiders · 234 PAwOBA .319 → .244 (−76)K% 23.5% → 28.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.50%	÷0.998	×1.200	—	—	28.27%
BB% (unintentional) /PA	6.41%	÷1.059	×0.690	—	×0.992	4.14%
HBP% /PA	3.85%	—	×0.940	—	×0.992	3.59%
Singles /BIP	18.42%	÷1.029	×0.930	×0.950	×0.992	15.68%
Doubles /BIP	3.29%	÷0.903	×0.830	×0.950	×0.992	2.85%
Triples /BIP	0.00%	÷1.048	×0.970	×0.950	×0.992	0.00%
Home runs /BIP	8.55%	÷1.017	×0.700	—	×0.992	5.84%

Factors used: league row International League. Park (home-season share, regressed): HR 103, 1B 106, 2B 81, 3B 110, K 100, BB 112 — 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 .319 → .244; ISO .213 → .147; BABIP .232 → .193. 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 AAAIowa Cubs · 26 PAwOBA .537 → .464 (−74)K% 26.9% → 32.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.92%	÷0.988	×1.200	—	—	32.70%
BB% (unintentional) /PA	15.38%	÷1.048	×0.690	—	×1.003	10.16%
HBP% /PA	3.85%	—	×0.940	—	×1.003	3.63%
Singles /BIP	23.08%	÷0.985	×0.930	—	×1.003	21.85%
Doubles /BIP	23.08%	÷0.967	×0.830	—	×1.003	19.86%
Triples /BIP	7.69%	÷1.118	×0.970	—	×1.003	6.70%
Home runs /BIP	7.69%	÷0.996	×0.700	—	×1.003	5.42%

Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 97, 2B 93, 3B 124, K 98, BB 110 — 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).

Result: wOBA .537 → .464; ISO .400 → .344; BABIP .538 → .476. 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 · 186 PAwOBA .442 → .359 (−83)K% 25.8% → 30.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.81%	÷1.032	×1.200	—	—	30.00%
BB% (unintentional) /PA	13.98%	÷1.023	×0.690	—	×1.018	9.60%
HBP% /PA	6.45%	—	×0.940	—	×1.018	6.17%
Singles /BIP	24.24%	÷1.039	×0.930	×1.003	×1.018	22.15%
Doubles /BIP	10.10%	÷0.963	×0.830	×1.003	×1.018	8.89%
Triples /BIP	1.01%	÷0.988	×0.920	×1.003	×1.018	0.96%
Home runs /BIP	10.10%	÷1.081	×0.700	—	×1.018	6.66%

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 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 ×1.003.

Result: wOBA .442 → .359; ISO .286 → .211; BABIP .389 → .339. 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 AAASalt Lake Bees · 296 PAwOBA .346 → .266 (−80)K% 29.7% → 38.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.73%	÷1.009	×1.290	—	—	38.01%
BB% (unintentional) /PA	8.78%	÷0.980	×0.710	—	×1.048	6.67%
HBP% /PA	3.04%	—	×0.980	—	×1.048	3.12%
Singles /BIP	21.64%	÷1.007	×0.900	×0.950	×1.048	19.26%
Doubles /BIP	4.68%	÷1.062	×0.810	×0.950	×1.048	3.55%
Triples /BIP	1.75%	÷0.900	×0.810	×0.950	×1.048	1.57%
Home runs /BIP	8.77%	÷1.059	×0.780	—	×1.048	6.77%

Factors used: league row PCL. Park (home-season share, regressed): HR 112, 1B 101, 2B 112, 3B 80, K 102, BB 96 — 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 ×0.950.

Result: wOBA .346 → .266; ISO .228 → .161; BABIP .304 → .258. 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 AAASalt Lake Bees · 323 PAwOBA .358 → .288 (−70)K% 26.9% → 34.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.93%	÷1.003	×1.290	—	—	34.65%
BB% (unintentional) /PA	8.98%	÷1.068	×0.710	—	×1.050	6.26%
HBP% /PA	3.41%	—	×0.980	—	×1.050	3.50%
Singles /BIP	23.12%	÷1.064	×0.900	×0.959	×1.050	19.69%
Doubles /BIP	7.53%	÷1.045	×0.810	×0.959	×1.050	5.88%
Triples /BIP	2.15%	÷0.969	×0.810	×0.959	×1.050	1.81%
Home runs /BIP	6.45%	÷0.958	×0.780	—	×1.050	5.52%

Factors used: league row PCL. Park (home-season share, regressed): HR 92, 1B 113, 2B 109, 3B 94, K 101, BB 114 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.959.

Result: wOBA .358 → .288; ISO .212 → .171; BABIP .341 → .281. 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 AAMobile BayBears · 340 PAwOBA .321 → .281 (−40)K% 21.5% → 26.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.47%	÷0.998	×1.220	—	—	26.24%
BB% (unintentional) /PA	11.76%	÷0.986	×0.680	—	×1.042	8.46%
HBP% /PA	3.53%	—	×0.840	—	×1.042	3.09%
Singles /BIP	24.39%	÷1.018	×0.920	×0.999	×1.042	22.94%
Doubles /BIP	6.34%	÷1.204	×0.910	×0.999	×1.042	4.99%
Triples /BIP	0.98%	÷0.930	×0.880	×0.999	×1.042	0.96%
Home runs /BIP	1.95%	÷0.896	×0.800	—	×1.042	1.82%

Factors used: league row SL. Park (home-season share, regressed): HR 79, 1B 104, 2B 141, 3B 86, K 100, BB 97 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .321 → .281; ISO .104 → .094; BABIP .316 → .287. 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 AAASalt Lake Bees · 129 PAwOBA .345 → .306 (−39)K% 21.7% → 27.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.71%	÷1.010	×1.290	—	—	27.72%
BB% (unintentional) /PA	4.65%	÷0.993	×0.710	—	×1.050	3.49%
HBP% /PA	2.33%	—	×0.980	—	×1.050	2.39%
Singles /BIP	24.14%	÷0.986	×0.900	×1.022	×1.050	23.63%
Doubles /BIP	6.90%	÷1.009	×0.810	×1.022	×1.050	5.94%
Triples /BIP	1.15%	÷1.093	×0.810	×1.022	×1.050	0.91%
Home runs /BIP	5.75%	÷0.989	×0.780	—	×1.050	4.76%

Factors used: league row PCL. Park (home-season share, regressed): HR 98, 1B 97, 2B 102, 3B 119, K 102, BB 99 — 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 ×1.022.

Result: wOBA .345 → .306; ISO .200 → .164; BABIP .337 → .316. 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+Inland Empire 66ers · 64 PAwOBA .388 → .324 (−63)K% 23.4% → 32.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.44%	÷0.975	×1.340	—	—	32.22%
BB% (unintentional) /PA	14.06%	÷1.003	×0.710	—	×1.012	10.07%
HBP% /PA	3.12%	—	×0.790	—	×1.012	2.50%
Singles /BIP	28.95%	÷0.955	×0.910	—	×1.012	27.91%
Doubles /BIP	15.79%	÷0.891	×0.820	—	×1.012	14.71%
Triples /BIP	0.00%	÷1.150	×0.760	—	×1.012	0.00%
Home runs /BIP	0.00%	÷1.008	×0.920	—	×1.012	0.00%

Factors used: league row CAL. Park (home-season share, regressed): HR 102, 1B 91, 2B 78, 3B 130, K 95, BB 101 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average).

Result: wOBA .388 → .324; ISO .113 → .098; BABIP .447 → .426. 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 — .