Herlis Rodriguez

PosRF

B/TL/L

Born1994-06-10

Age (2027)33

No MLB projection yet. Career stats below are historical.

Overview

INTLPROSPECT

MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	30	INTLCaribes de An…	153	.316/.393/.511	5	9	151	—
2025	31	INTLCaribes de An…	245	.298/.421/.500	7	19	157	—
2026	32	INTLCaribes de An…	67	.333/.433/.439	1	1	154	—

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)
2011	17	ROK	VSL Phillies	—	182	159	46	5	3	2	15	20	2	3	7	289	358	396	754	107	319	11	8	329	41	—	—	—	—	—	—
2012	18	ROK	GCL Phillies	—	103	95	21	4	1	1	6	23	0	0	2	221	267	316	583	95	278	22	6	258	5	—	—	—	—	—	—
2013	19	ROK	GCL Phillies	—	104	90	35	7	0	2	10	15	0	4	5	389	450	533	983	144	434	14	10	420	99	—	—	—	—	—	—
2014	20	A+	Clearwater Threshers	—	55	51	16	3	0	0	1	8	0	0	2	314	327	373	699	59	372	15	2	297	90	—	—	—	—	—	—
2015	21	A	Lakewood BlueClaws	—	496	445	131	20	4	10	28	71	6	16	10	294	344	425	769	130	325	14	6	332	85	—	—	—	—	—	—
2015	21	INTL	Tigres de Aragua	—	88	81	15	2	1	1	6	24	0	0	1	185	241	272	513	86	250	27	7	232	43	—	—	—	—	—	—
2016	22	A+	Clearwater Threshers	—	157	141	30	2	2	1	10	19	4	3	3	213	284	277	560	64	238	12	6	257	38	—	—	—	—	—	—
2016	22	INTL	Venezuela	—	106	97	18	3	2	1	6	20	0	2	2	186	233	289	522	103	221	19	6	228	41	—	—	—	—	—	—
2017	23	AAA	Lehigh Valley IronPigs	—	160	148	32	6	0	3	5	36	4	3	2	216	261	318	579	101	264	22	3	257	32	—	—	—	—	—	—
2017	23	AA	Reading Fightin Phils	—	25	25	7	2	0	1	0	8	0	0	0	280	280	480	760	200	375	32	0	331	57	—	—	—	—	—	—
2017	23	A+	Clearwater Threshers	—	214	184	50	8	2	7	22	39	3	7	3	272	359	451	810	179	312	18	10	353	84	—	—	—	—	—	—
2017	23	INTL	Aguilas del Zulia	—	183	163	54	5	3	1	12	22	2	9	6	331	384	417	801	86	379	12	7	349	122	—	—	—	—	—	—
2018	24	AAA	Toledo Mud Hens	—	22	22	4	0	1	0	0	5	0	0	1	182	182	273	455	91	235	23	0	197	5	—	—	—	—	—	—
2018	24	AA	Erie SeaWolves	—	82	72	14	5	0	0	4	12	1	4	3	194	247	264	511	69	226	15	5	221	25	—	—	—	—	—	—
2018	24	A+	Lakeland Flying Tigers	—	27	24	6	0	1	0	3	6	0	0	0	250	333	333	667	83	333	22	11	305	38	—	—	—	—	—	—
2018	24	INTL	Venezuela	—	146	130	40	7	2	4	13	28	1	2	4	308	375	485	860	177	364	19	9	375	140	—	—	—	—	—	—
2019	25	AAA	Pericos de Puebla	—	312	261	74	17	4	9	36	72	12	8	7	284	395	483	878	199	359	23	12	387	91	—	—	—	—	—	—
2019	25	INTL	Aguilas del Zulia	—	49	43	11	4	0	1	6	8	0	1	1	256	347	419	766	163	294	16	12	344	119	—	—	—	—	—	—
2020	26	INTL	Venezuela	—	66	51	17	6	0	2	8	9	2	1	1	333	443	569	1.011	235	366	14	12	410	164	—	—	—	—	—	—
2021	27	INTL	Caribes de Anzoategui	—	224	199	58	7	2	2	12	28	4	4	2	291	344	377	721	85	329	12	5	314	98	—	—	—	—	—	—
2022	28	INTL	Caribes de Anzoategui	—	209	180	40	5	1	4	21	39	5	9	0	222	320	328	648	106	261	19	10	296	86	—	—	—	—	—	—
2023	29	INTL	Caribes de Anzoategui	—	227	200	52	8	2	7	19	39	3	6	2	260	333	425	758	165	292	17	8	331	110	—	—	—	—	—	—
2024	30	INTL	Caribes de Anzoategui	—	153	133	42	7	2	5	16	22	1	9	3	316	393	511	905	195	343	14	10	391	151	—	—	—	—	—	—
2025	31	INTL	Caribes de Anzoategui	—	245	198	59	13	3	7	40	49	2	19	3	298	421	500	921	202	361	20	16	400	157	—	—	—	—	—	—
2026	32	INTL	Caribes de Anzoategui	—	67	57	19	3	0	1	10	13	0	1	3	333	433	439	871	105	419	19	15	395	154	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	17	ROK MLE	VSL Phillies	—	182	164	33	3	2	1	10	24	2	3	7	201	256	262	518	61	222	13	5	229	41	—	—	—	—	—	—
2012	18	ROK MLE	GCL Phillies	—	103	97	16	3	1	1	4	33	0	0	2	165	198	247	445	82	214	32	4	176	5	—	—	—	—	—	—
2013	19	ROK MLE	GCL Phillies	—	104	94	28	5	0	2	6	22	0	4	5	298	340	415	755	117	330	21	6	315	99	—	—	—	—	—	—
2014	20	A+ MLE	Clearwater Threshers	—	55	51	17	3	0	0	1	11	0	0	2	333	346	392	738	59	389	20	2	301	90	—	—	—	—	—	—
2015	21	A MLE	Lakewood BlueClaws	—	496	455	123	18	4	10	18	96	6	16	10	270	307	393	700	123	300	19	4	294	85	—	—	—	—	—	—
2016	22	A+ MLE	Clearwater Threshers	—	157	143	28	2	2	1	8	27	4	3	3	196	258	259	517	63	224	17	5	224	38	—	—	—	—	—	—
2017	23	AAA MLE	Lehigh Valley IronPigs	—	160	150	27	5	0	2	3	45	4	3	2	180	217	253	470	73	238	28	2	215	32	—	—	—	—	—	—
2017	23	AA MLE	Reading Fightin Phils	—	25	25	7	2	0	1	0	10	0	0	0	280	280	480	760	200	350	40	0	253	57	—	—	—	—	—	—
2017	23	A+ MLE	Clearwater Threshers	—	214	190	45	8	2	6	16	55	3	7	3	237	306	395	701	158	286	26	7	292	84	—	—	—	—	—	—
2018	24	AAA MLE	Toledo Mud Hens	—	22	22	4	0	1	0	0	6	0	0	1	182	182	273	455	91	229	27	0	176	5	—	—	—	—	—	—
2018	24	AA MLE	Erie SeaWolves	—	82	73	14	5	0	0	3	15	1	4	3	192	234	260	494	68	210	18	4	205	25	—	—	—	—	—	—
2018	24	A+ MLE	Lakeland Flying Tigers	—	27	26	5	0	1	0	1	9	0	0	0	192	222	269	491	77	298	33	4	225	38	—	—	—	—	—	—
2019	25	AAA MLE	Pericos de Puebla	—	312	276	63	14	3	6	21	89	12	8	7	228	311	366	677	138	311	29	7	303	91	—	—	—	—	—	—
2011	17	ROK MLE	VSL Phillies	—	182	164	33	3	2	1	10	24	2	3	7	201	256	262	518	61	229	13	5	229	41	—	—	—	—	—	—
2011	17	ROK RAW	VSL Phillies	—	182	159	46	5	3	2	15	20	2	3	7	289	358	396	754	107	319	11	8	329	41	—	—	—	—	—	—
2012	18	ROK MLE	GCL Phillies	—	103	97	16	3	1	1	4	33	0	0	2	165	198	247	445	82	234	32	4	176	5	—	—	—	—	—	—
2012	18	ROK RAW	GCL Phillies	—	103	95	21	4	1	1	6	23	0	0	2	221	267	316	583	95	278	22	6	258	5	—	—	—	—	—	—
2013	19	ROK MLE	GCL Phillies	—	104	94	28	5	0	2	6	22	0	4	5	298	340	415	755	117	356	21	6	315	99	—	—	—	—	—	—
2013	19	ROK RAW	GCL Phillies	—	104	90	35	7	0	2	10	15	0	4	5	389	450	533	983	144	434	14	10	420	99	—	—	—	—	—	—
2014	20	A+ MLE	Clearwater Threshers	—	55	51	17	3	0	0	1	11	0	0	2	333	346	392	738	59	425	20	2	301	90	—	—	—	—	—	—
2014	20	A+ RAW	Clearwater Threshers	—	55	51	16	3	0	0	1	8	0	0	2	314	327	373	699	59	372	15	2	297	90	—	—	—	—	—	—
2015	21	A MLE	2 teams	—	584	538	143	21	4	11	22	113	6	16	11	266	302	381	683	115	313	19	4	294	85	—	—	—	—	—	—
2015	21	A RAW	2 teams	—	584	526	146	22	5	11	34	95	6	16	11	278	329	401	730	124	315	16	6	317	85	—	—	—	—	—	—
2016	22	A+ MLE	2 teams	—	263	241	46	3	3	2	13	46	4	5	5	191	244	253	497	62	226	17	5	224	38	—	—	—	—	—	—
2016	22	A+ RAW	2 teams	—	263	238	48	5	4	2	16	39	4	5	5	202	264	282	545	80	231	15	6	246	38	—	—	—	—	—	—
2017	23	A+ MLE	4 teams	—	582	532	114	22	2	13	27	159	9	19	11	214	264	336	601	122	280	27	5	259	61	—	—	—	—	—	—
2017	23	A+ RAW	4 teams	—	582	520	143	21	5	12	39	105	9	19	11	275	336	404	740	129	324	18	7	324	61	—	—	—	—	—	—
2018	24	INTL MLE	4 teams	—	277	259	47	10	3	0	9	62	2	6	8	181	215	243	458	62	235	22	3	204	24	—	—	—	—	—	—
2018	24	INTL RAW	4 teams	—	277	248	64	12	4	4	20	51	2	6	8	258	319	387	706	129	306	18	7	308	24	—	—	—	—	—	—
2019	25	AAA MLE	2 teams	—	361	321	74	17	4	7	25	103	12	9	8	231	310	374	684	143	316	29	7	303	91	—	—	—	—	—	—
2019	25	AAA RAW	2 teams	—	361	304	85	21	4	10	42	80	12	9	8	280	388	474	862	194	349	22	12	381	91	—	—	—	—	—	—
2020	26	INTL MLE	Venezuela	—	66	51	17	6	0	2	8	9	2	1	1	333	443	569	1.011	235	366	14	12	—	—	—	—	—	—	—	—
2020	26	INTL RAW	Venezuela	—	66	51	17	6	0	2	8	9	2	1	1	333	443	569	1.011	235	366	14	12	410	164	—	—	—	—	—	—
2021	27	INTL MLE	Caribes de Anzoategui	—	224	199	58	7	2	2	12	28	4	4	2	291	344	377	721	85	329	12	5	—	—	—	—	—	—	—	—
2021	27	INTL RAW	Caribes de Anzoategui	—	224	199	58	7	2	2	12	28	4	4	2	291	344	377	721	85	329	12	5	314	98	—	—	—	—	—	—
2022	28	INTL MLE	Caribes de Anzoategui	—	209	180	40	5	1	4	21	39	5	9	0	222	320	328	648	106	261	19	10	—	—	—	—	—	—	—	—
2022	28	INTL RAW	Caribes de Anzoategui	—	209	180	40	5	1	4	21	39	5	9	0	222	320	328	648	106	261	19	10	296	86	—	—	—	—	—	—
2023	29	INTL MLE	Caribes de Anzoategui	—	227	200	52	8	2	7	19	39	3	6	2	260	333	425	758	165	292	17	8	—	—	—	—	—	—	—	—
2023	29	INTL RAW	Caribes de Anzoategui	—	227	200	52	8	2	7	19	39	3	6	2	260	333	425	758	165	292	17	8	331	110	—	—	—	—	—	—
2024	30	INTL MLE	Caribes de Anzoategui	—	153	133	42	7	2	5	16	22	1	9	3	316	393	511	905	195	343	14	10	—	—	—	—	—	—	—	—
2024	30	INTL RAW	Caribes de Anzoategui	—	153	133	42	7	2	5	16	22	1	9	3	316	393	511	905	195	343	14	10	391	151	—	—	—	—	—	—
2025	31	INTL MLE	Caribes de Anzoategui	—	245	198	59	13	3	7	40	49	2	19	3	298	421	500	921	202	361	20	16	—	—	—	—	—	—	—	—
2025	31	INTL RAW	Caribes de Anzoategui	—	245	198	59	13	3	7	40	49	2	19	3	298	421	500	921	202	361	20	16	400	157	—	—	—	—	—	—
2026	32	INTL MLE	Caribes de Anzoategui	—	67	57	19	3	0	1	10	13	0	1	3	333	433	439	871	105	419	19	15	—	—	—	—	—	—	—	—
2026	32	INTL RAW	Caribes de Anzoategui	—	67	57	19	3	0	1	10	13	0	1	3	333	433	439	871	105	419	19	15	395	154	—	—	—	—	—	—
2011	17	ROK MLE	VSL Phillies	—	182	168	33	3	2	1	10	24	2	3	7	196	256	256	512	60	222	13	5	229	41	—	—	—	—	—	—
2012	18	ROK MLE	GCL Phillies	—	103	98	16	3	1	1	4	33	0	0	2	163	198	245	443	82	214	32	4	176	5	—	—	—	—	—	—
2013	19	ROK MLE	GCL Phillies	—	104	97	28	5	0	2	6	22	0	4	5	289	340	402	742	113	330	21	6	315	99	—	—	—	—	—	—
2014	20	A+ MLE	Clearwater Threshers	—	55	54	17	3	0	0	1	11	0	0	2	315	346	370	717	56	389	20	2	301	90	—	—	—	—	—	—
2015	21	A MLE	2 teams	—	584	551	143	21	4	11	22	113	6	16	11	260	302	372	674	113	300	19	4	294	85	—	—	—	—	—	—
2016	22	A+ MLE	2 teams	—	263	244	46	3	3	2	13	46	4	5	5	189	244	250	494	61	224	17	5	224	38	—	—	—	—	—	—
2017	23	A+ MLE	4 teams	—	582	541	114	22	2	13	27	159	9	19	11	211	264	331	595	120	271	27	5	259	61	—	—	—	—	—	—
2018	24	INTL MLE	4 teams	—	277	264	47	10	3	0	9	62	2	6	8	178	215	239	453	61	231	22	3	204	24	—	—	—	—	—	—
2019	25	AAA MLE	2 teams	—	361	321	74	17	4	7	25	103	12	9	8	231	310	374	684	143	311	29	7	303	91	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	3702	3315	805	136	29	65	243	772	52	111	73	243	305	360	665	117	295	21	7	177	6	-414	-7	+0	-40	+80	-38.8
/ 162G	—	MLE		—	650	582	141	24	5	11	43	136	9	19	13	242	304	357	662	115	295	21	7	177	6	-73	-1	+0	-7	+14	-6.8

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 AAAPericos de Puebla · 312 PAwOBA .373 → .303 (−70)K% 23.1% → 28.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.08%	÷0.970	×1.200	—	—	28.54%
BB% (unintentional) /PA	9.94%	÷1.043	×0.690	—	×1.033	6.79%
HBP% /PA	3.85%	—	×0.940	—	×1.033	3.73%
Singles /BIP	23.28%	÷1.008	×0.930	×0.950	×1.033	21.07%
Doubles /BIP	8.99%	÷0.964	×0.830	×0.950	×1.033	7.60%
Triples /BIP	2.12%	÷1.150	×0.920	×0.950	×1.033	1.66%
Home runs /BIP	4.76%	÷1.144	×0.700	—	×1.033	3.01%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 129, 1B 102, 2B 93, 3B 130, K 94, BB 109 — 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 ×0.950.

Result: wOBA .373 → .303; ISO .199 → .145; BABIP .359 → .311. 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 AAErie SeaWolves · 82 PAwOBA .220 → .205 (−15)K% 14.6% → 17.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.63%	÷0.999	×1.220	—	—	17.88%
BB% (unintentional) /PA	4.88%	÷1.007	×0.700	—	×1.012	3.43%
HBP% /PA	1.22%	—	×0.850	—	×1.012	1.05%
Singles /BIP	15.00%	÷1.016	×0.970	×0.989	×1.012	14.33%
Doubles /BIP	8.33%	÷0.974	×0.860	×0.989	×1.012	7.36%
Triples /BIP	0.00%	÷0.901	×0.950	×0.989	×1.012	0.00%
Home runs /BIP	0.00%	÷1.112	×0.780	—	×1.012	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 122, 1B 103, 2B 95, 3B 80, K 100, BB 101 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.989.

Result: wOBA .220 → .205; ISO .069 → .065; BABIP .226 → .210. 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+Lakeland Flying Tigers · 27 PAwOBA .283 → .225 (−58)K% 22.2% → 32.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷0.987	×1.420	—	—	31.98%
BB% (unintentional) /PA	7.41%	÷1.097	×0.750	—	×0.988	5.01%
HBP% /PA	0.00%	—	×0.930	—	×0.988	0.00%
Singles /BIP	27.78%	÷0.974	×0.920	—	×0.988	25.93%
Doubles /BIP	0.00%	÷0.995	×0.960	—	×0.988	0.00%
Triples /BIP	5.56%	÷1.150	×0.810	—	×0.988	3.87%
Home runs /BIP	0.00%	÷1.277	×0.880	—	×0.988	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 155, 1B 95, 2B 99, 3B 130, K 97, BB 119 — 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).

Result: wOBA .283 → .225; ISO .083 → .055; BABIP .333 → .298. 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 AAAToledo Mud Hens · 22 PAwOBA .191 → .176 (−15)K% 22.7% → 27.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.73%	÷1.011	×1.200	—	—	26.99%
BB% (unintentional) /PA	0.00%	÷0.980	×0.690	—	×1.048	0.00%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	17.65%	÷1.005	×0.930	—	×1.048	17.11%
Doubles /BIP	0.00%	÷1.038	×0.830	—	×1.048	0.00%
Triples /BIP	5.88%	÷1.038	×0.970	—	×1.048	5.76%
Home runs /BIP	0.00%	÷0.893	×0.840	—	×1.048	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 79, 1B 101, 2B 108, 3B 108, 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).

Result: wOBA .191 → .176; ISO .091 → .084; BABIP .235 → .229. 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+Clearwater Threshers · 214 PAwOBA .342 → .292 (−50)K% 18.2% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.22%	÷1.016	×1.420	—	—	25.47%
BB% (unintentional) /PA	9.81%	÷0.998	×0.750	—	×0.998	7.36%
HBP% /PA	1.40%	—	×0.930	—	×0.998	1.30%
Singles /BIP	22.76%	÷0.989	×0.920	×0.977	×0.998	20.64%
Doubles /BIP	5.52%	÷0.907	×0.960	×0.977	×0.998	5.69%
Triples /BIP	1.38%	÷1.002	×0.810	×0.977	×0.998	1.09%
Home runs /BIP	4.83%	÷1.058	×0.880	—	×0.998	4.01%

Factors used: league row FSL. Park (home-season share, regressed): HR 112, 1B 98, 2B 82, 3B 100, K 103, BB 100 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.977.

Result: wOBA .342 → .292; ISO .179 → .152; BABIP .312 → .286. 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 AAALehigh Valley IronPigs · 160 PAwOBA .249 → .215 (−34)K% 22.5% → 28.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.50%	÷0.961	×1.200	—	—	28.09%
BB% (unintentional) /PA	2.50%	÷1.014	×0.690	—	×1.050	1.79%
HBP% /PA	2.50%	—	×0.940	—	×1.050	2.47%
Singles /BIP	20.54%	÷1.055	×0.930	×0.986	×1.050	18.74%
Doubles /BIP	5.36%	÷0.969	×0.830	×0.986	×1.050	4.75%
Triples /BIP	0.00%	÷1.047	×0.970	×0.986	×1.050	0.00%
Home runs /BIP	2.68%	÷1.043	×0.840	—	×1.050	2.27%

Factors used: league row IL. Park (home-season share, regressed): HR 109, 1B 111, 2B 94, 3B 109, K 92, BB 103 — 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 ×0.986.

Result: wOBA .249 → .215; ISO .101 → .084; BABIP .264 → .238. 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 AAReading Fightin Phils · 25 PAwOBA .321 → .253 (−67)K% 32.0% → 38.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.00%	÷1.012	×1.220	—	—	38.57%
BB% (unintentional) /PA	0.00%	÷1.045	×0.700	—	×1.027	0.00%
HBP% /PA	0.00%	—	×0.850	—	×1.027	0.00%
Singles /BIP	23.53%	÷1.013	×0.970	—	×1.027	23.15%
Doubles /BIP	11.76%	÷0.986	×0.860	—	×1.027	10.54%
Triples /BIP	0.00%	÷1.063	×0.950	—	×1.027	0.00%
Home runs /BIP	5.88%	÷1.220	×0.780	—	×1.027	3.86%

Factors used: league row EL. Park (home-season share, regressed): HR 144, 1B 103, 2B 97, 3B 113, K 102, BB 109 — 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).

Result: wOBA .321 → .253; ISO .200 → .136; BABIP .375 → .350. 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 A+Clearwater Threshers · 157 PAwOBA .253 → .224 (−29)K% 12.1% → 17.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.10%	÷0.986	×1.420	—	—	17.44%
BB% (unintentional) /PA	6.37%	÷1.011	×0.750	—	×1.012	4.78%
HBP% /PA	2.55%	—	×0.930	—	×1.012	2.40%
Singles /BIP	20.49%	÷0.997	×0.920	×1.003	×1.012	19.20%
Doubles /BIP	1.64%	÷0.947	×0.960	×1.003	×1.012	1.69%
Triples /BIP	1.64%	÷0.900	×0.810	×1.003	×1.012	1.50%
Home runs /BIP	0.82%	÷0.964	×0.880	—	×1.012	0.76%

Factors used: league row FSL. Park (home-season share, regressed): HR 93, 1B 99, 2B 89, 3B 80, K 97, BB 102 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.003.

Result: wOBA .253 → .224; ISO .064 → .058; BABIP .238 → .224. 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 — .