Henry Ramos

PosRF

B/TS/R

Born1992-04-15

Age (2027)35

No MLB projection yet. Career stats below are historical.

Overview

INTL

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	31	AAACIN	327	.318/.412/.543	13	6	105	—	.259/.329/.412
2023	31	MLBCIN	86	.243/.349/.311	0	2	93	-0.4
2024	32	INTLPuerto Rico	161	.287/.386/.441	4	2	134	—
2025	33	INTLCangrejeros d…	63	.197/.222/.262	0	1	34	—
2026	34	No MLB games played

Last 3 seasons WAR -0.4

Contract

No contract data on file.

Skills · percentileMiLB Statcast 2023 AAA

Max EV68

Speed65

K%64

BB%57

Z-Con%55

Whiff%54

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)
2010	18	ROK	GCL Red Sox	—	156	136	42	8	1	3	12	28	3	12	6	309	377	449	826	140	361	18	8	358	73	—	—	—	—	—	—
2010	18	INTL	Leones de Ponce	—	58	55	8	0	0	1	1	17	1	0	4	145	175	200	375	55	189	29	2	170	1	—	—	—	—	—	—
2011	19	A	Greenville Drive	—	354	332	87	17	4	5	17	76	2	15	6	262	302	383	685	120	323	21	5	303	51	—	—	—	—	—	—
2011	19	INTL	Leones de Ponce	—	36	33	9	0	0	0	1	7	0	1	2	273	294	273	567		346	19	3	246	52	—	—	—	—	—	—
2012	20	A	Greenville Drive	—	494	441	112	24	4	8	44	101	4	12	10	254	327	381	708	127	313	20	9	316	64	—	—	—	—	—	—
2012	20	INTL	Leones de Ponce	—	111	98	28	11	0	1	10	17	0	3	1	286	352	429	780	143	333	15	9	339	116	—	—	—	—	—	—
2013	21	A+	Salem Red Sox	—	540	469	118	27	7	12	55	100	3	11	12	252	334	416	750	164	291	19	10	327	65	—	—	—	—	—	—
2013	21	INTL	Leones de Ponce	—	164	151	37	5	0	4	7	33	4	3	1	245	296	358	654	113	287	20	4	292	84	—	—	—	—	—	—
2014	22	AA	Portland Sea Dogs	—	194	181	59	9	2	2	11	38	1	2	4	326	368	431	799	105	404	20	6	356	101	—	—	—	—	—	—
2014	22	INTL	Criollos de Caguas	—	124	106	23	2	0	1	16	25	0	1	2	217	320	264	584	47	272	20	13	273	71	—	—	—	—	—	—
2015	23	AA	Portland Sea Dogs	—	147	131	32	11	2	0	14	26	0	0	0	244	317	359	676	115	305	18	10	301	70	—	—	—	—	—	—
2015	23	ROK	GCL Red Sox	—	30	24	7	0	0	0	5	3	1	2	0	292	433	292	725		333	10	17	352	59	—	—	—	—	—	—
2015	23	INTL	Puerto Rico	—	172	149	34	10	0	1	19	27	0	3	3	228	315	315	631	87	264	16	11	285	79	—	—	—	—	—	—
2016	24	AAA	Pawtucket Red Sox	—	209	190	47	8	3	5	11	44	1	4	2	247	292	400	692	153	288	21	5	297	81	—	—	—	—	—	—
2016	24	AA	Portland Sea Dogs	—	189	171	48	6	3	3	11	25	2	3	3	281	332	404	735	123	312	13	6	320	79	—	—	—	—	—	—
2016	24	INTL	Puerto Rico	—	164	151	41	7	1	1	9	30	0	2	2	272	312	351	663	79	328	18	5	292	84	—	—	—	—	—	—
2017	25	AAA	Oklahoma City Dodgers	—	111	105	31	8	0	3	6	13	0	2	2	295	333	457	790	162	315	12	5	350	88	—	—	—	—	—	—
2017	25	AA	Tulsa Drillers	—	101	89	37	4	1	5	10	15	0	1	0	416	475	652	1.126	236	451	15	10	481	155	—	—	—	—	—	—
2017	25	INTL	Leones del Caracas	—	20	20	6	1	1	0	0	3	0	0	0	300	300	450	750	150	353	15	0	326	107	—	—	—	—	—	—
2018	26	AAA	Oklahoma City Dodgers	—	393	357	106	22	4	10	31	69	0	8	4	297	353	465	818	168	344	18	8	357	81	—	—	—	—	—	—
2018	26	INTL	Indios de Mayaguez	—	182	152	39	3	2	5	19	16	2	2	1	257	347	401	748	145	254	9	10	321	104	—	—	—	—	—	—
2019	27	AAA	Sacramento River Cats	—	366	335	90	21	0	12	24	74	2	3	2	269	321	439	760	170	310	20	7	333	59	—	—	—	—	—	—
2019	27	INTL	Puerto Rico	—	168	144	46	11	1	3	22	15	2	4	1	319	417	472	889	153	341	9	13	398	155	—	—	—	—	—	—
2020	28	INTL	Puerto Rico	—	104	86	24	5	0	1	15	14	1	0	0	279	392	372	764	93	319	13	14	346	120	—	—	—	—	—	—
2021	29	MLB	Arizona Diamondbacks	—	55	50	10	2	0	1	4	12	0	0	0	200	259	300	559	100	237	22	7	250	53	-3	+0	-0	-4	+1	-0.6
2021	29	AAA	Reno Aces	—	294	256	95	16	1	12	29	48	5	4	5	371	445	582	1.027	211	415	16	10	445	128	—	—	—	—	—	—
2021	29	INTL	Indios de Mayaguez	—	20	18	4	0	0	1	1	5	1	0	0	222	300	389	689	167	250	25	5	311	97	—	—	—	—	—	—
2022	30	INTL	Indios de Mayaguez	—	179	157	41	8	2	3	16	23	3	5	4	261	341	395	736	134	288	13	9	327	107	—	—	—	—	—	—
2023	31	MLB	Cincinnati Reds	—	86	74	18	3	1	0	11	21	1	2	1	243	349	311	660	68	340	24	13	309	93	-1	+0	-1	-4	+2	-0.4
2023	31	AAA	Louisville Bats	—	327	280	89	18	3	13	41	65	4	6	4	318	412	543	955	225	374	20	13	417	105	—	—	—	—	—	—
2024	32	INTL	Puerto Rico	—	161	136	39	9	0	4	19	25	3	2	3	287	386	441	827	154	318	16	12	366	134	—	—	—	—	—	—
2025	33	INTL	Cangrejeros de Santurce	—	63	61	12	4	0	0	2	11	0	1	1	197	222	262	485	66	240	17	3	219	34	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	141	124	28	5	1	1	15	33	1	2	1	226	314	306	621	81	297	23	11	286	80	-3	+0	-1	-8	+3	-1.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	18	ROK MLE	GCL Red Sox	—	156	140	34	6	1	2	8	40	3	12	6	243	298	343	641	100	300	26	5	276	73	—	—	—	—	—	—
2011	19	A MLE	Greenville Drive	—	354	337	73	13	4	4	12	107	2	15	6	217	248	315	562	98	298	30	3	244	51	—	—	—	—	—	—
2012	20	A MLE	Greenville Drive	—	494	457	103	19	3	6	28	136	4	12	10	225	276	319	596	94	305	28	6	263	64	—	—	—	—	—	—
2013	21	A+ MLE	Salem Red Sox	—	540	492	104	22	5	11	32	143	3	11	12	211	264	343	607	132	260	26	6	264	65	—	—	—	—	—	—
2014	22	AA MLE	Portland Sea Dogs	—	194	184	57	8	2	2	8	48	1	2	4	310	342	408	750	98	401	25	4	318	101	—	—	—	—	—	—
2015	23	AA MLE	Portland Sea Dogs	—	147	136	33	10	2	0	9	32	0	0	0	243	290	346	635	103	307	22	6	271	70	—	—	—	—	—	—
2015	23	ROK MLE	GCL Red Sox	—	30	26	6	0	0	0	3	4	1	2	0	231	333	231	564		264	13	10	256	59	—	—	—	—	—	—
2016	24	AAA MLE	Pawtucket Red Sox	—	209	194	48	8	3	4	7	54	1	4	2	247	277	381	659	134	298	26	3	288	81	—	—	—	—	—	—
2016	24	AA MLE	Portland Sea Dogs	—	189	176	48	6	3	2	6	31	2	3	3	273	304	375	679	102	304	16	3	285	79	—	—	—	—	—	—
2017	25	AAA MLE	Oklahoma City Dodgers	—	111	107	29	7	0	2	4	17	0	2	2	271	297	393	690	121	299	15	4	299	88	—	—	—	—	—	—
2017	25	AA MLE	Tulsa Drillers	—	101	92	34	4	1	3	7	19	0	1	0	370	414	533	947	163	408	19	7	397	155	—	—	—	—	—	—
2018	26	AAA MLE	Oklahoma City Dodgers	—	393	368	92	17	3	8	20	92	0	8	4	250	289	378	666	128	308	23	5	288	81	—	—	—	—	—	—
2019	27	AAA MLE	Sacramento River Cats	—	366	341	73	16	0	9	18	98	2	3	2	214	258	340	598	126	263	27	5	256	59	—	—	—	—	—	—
2021	29	MLB MLE	Arizona Diamondbacks	—	55	50	10	2	0	1	4	12	0	0	0	200	259	300	559	100	237	22	7	247	53	-3	+0	-0	-4	+1	-0.6
2021	29	AAA MLE	Reno Aces	—	294	265	81	12	1	9	20	58	5	4	5	306	366	460	826	155	350	20	7	357	128	—	—	—	—	—	—
2023	31	MLB MLE	Cincinnati Reds	—	86	74	18	3	1	0	11	21	1	2	1	243	349	311	660	68	340	24	13	306	93	-1	+0	-1	-4	+2	-0.4
2023	31	AAA MLE	Louisville Bats	—	327	294	76	15	3	8	27	78	4	6	4	259	329	412	741	153	322	24	8	324	105	—	—	—	—	—	—
2010	18	ROK MLE	2 teams	—	214	194	47	8	1	3	10	55	4	12	10	242	293	340	633	98	317	26	5	276	73	—	—	—	—	—	—
2010	18	ROK RAW	2 teams	—	214	191	50	8	1	4	13	45	4	12	10	262	322	377	699	115	317	21	6	307	73	—	—	—	—	—	—
2011	19	A MLE	2 teams	—	390	370	82	15	4	5	13	118	2	16	8	222	252	324	576	103	308	30	3	244	51	—	—	—	—	—	—
2011	19	A RAW	2 teams	—	390	365	96	17	4	5	18	83	2	16	8	263	301	373	674	110	325	21	5	298	51	—	—	—	—	—	—
2012	20	A MLE	2 teams	—	605	559	127	23	4	8	34	166	4	15	11	227	276	326	602	98	308	27	6	263	64	—	—	—	—	—	—
2012	20	A RAW	2 teams	—	605	539	140	35	4	9	54	118	4	15	11	260	332	390	721	130	317	20	9	321	64	—	—	—	—	—	—
2013	21	A+ MLE	2 teams	—	704	640	138	29	7	15	42	186	7	14	13	216	271	353	625	138	275	26	6	264	65	—	—	—	—	—	—
2013	21	A+ RAW	2 teams	—	704	620	155	32	7	16	62	133	7	14	13	250	325	402	727	152	290	19	9	319	65	—	—	—	—	—	—
2014	22	AA MLE	2 teams	—	318	301	94	13	4	3	13	78	1	3	6	312	343	412	755	100	412	25	4	318	101	—	—	—	—	—	—
2014	22	AA RAW	2 teams	—	318	287	82	11	2	3	27	63	1	3	6	286	349	369	719	84	356	20	8	324	101	—	—	—	—	—	—
2015	23	INTL MLE	3 teams	—	349	318	76	20	4	0	24	72	1	5	3	239	294	327	622	88	304	21	7	268	68	—	—	—	—	—	—
2015	23	INTL RAW	3 teams	—	349	304	73	21	2	1	38	56	1	5	3	240	327	332	659	92	287	16	11	298	68	—	—	—	—	—	—
2016	24	AAA MLE	3 teams	—	562	524	135	19	9	9	19	120	3	9	7	258	288	380	667	122	313	21	3	287	80	—	—	—	—	—	—
2016	24	AAA RAW	3 teams	—	562	512	136	21	7	9	31	99	3	9	7	266	311	387	698	121	308	18	6	303	80	—	—	—	—	—	—
2017	25	AAA MLE	3 teams	—	232	218	68	11	1	6	12	39	0	3	2	312	348	454	802	142	354	17	5	346	120	—	—	—	—	—	—
2017	25	AAA RAW	3 teams	—	232	214	74	13	2	8	16	31	0	3	2	346	391	537	929	192	373	13	7	405	120	—	—	—	—	—	—
2018	26	AAA MLE	2 teams	—	575	529	134	25	5	11	30	135	2	10	5	253	296	382	678	129	318	23	5	288	81	—	—	—	—	—	—
2018	26	AAA RAW	2 teams	—	575	509	145	25	6	15	50	85	2	10	5	285	351	446	797	161	315	15	9	346	81	—	—	—	—	—	—
2019	27	AAA MLE	2 teams	—	534	499	106	23	0	13	26	143	4	7	3	212	257	337	594	124	269	27	5	256	59	—	—	—	—	—	—
2019	27	AAA RAW	2 teams	—	534	479	136	32	1	15	46	89	4	7	3	284	352	449	800	165	320	17	9	353	59	—	—	—	—	—	—
2020	28	INTL MLE	Puerto Rico	—	104	86	24	5	0	1	15	14	1	0	0	279	392	372	764	93	319	13	14	—	—	—	—	—	—	—	—
2020	28	INTL RAW	Puerto Rico	—	104	86	24	5	0	1	15	14	1	0	0	279	392	372	764	93	319	13	14	346	120	—	—	—	—	—	—
2021	29	AAA MLE	3 teams	—	369	332	96	15	1	10	26	74	6	4	5	289	352	431	782	142	340	20	7	340	116	—	—	—	—	—	—
2021	29	AAA RAW	3 teams	—	369	324	109	18	1	14	34	65	6	4	5	336	409	528	937	191	380	18	9	409	116	—	—	—	—	—	—
2022	30	INTL MLE	Indios de Mayaguez	—	179	157	41	8	2	3	16	23	3	5	4	261	341	395	736	134	288	13	9	—	—	—	—	—	—	—	—
2022	30	INTL RAW	Indios de Mayaguez	—	179	157	41	8	2	3	16	23	3	5	4	261	341	395	736	134	288	13	9	327	107	—	—	—	—	—	—
2023	31	AAA MLE	2 teams	—	413	368	95	19	4	8	38	99	5	8	5	258	336	397	733	139	332	24	9	320	103	—	—	—	—	—	—
2023	31	AAA RAW	2 teams	—	413	354	107	21	4	13	52	86	5	8	5	302	399	494	893	192	367	21	13	394	103	—	—	—	—	—	—
2024	32	INTL MLE	Puerto Rico	—	161	136	39	9	0	4	19	25	3	2	3	287	386	441	827	154	318	16	12	—	—	—	—	—	—	—	—
2024	32	INTL RAW	Puerto Rico	—	161	136	39	9	0	4	19	25	3	2	3	287	386	441	827	154	318	16	12	366	134	—	—	—	—	—	—
2025	33	INTL MLE	Cangrejeros de Santurce	—	63	61	12	4	0	0	2	11	0	1	1	197	222	262	485	66	240	17	3	—	—	—	—	—	—	—	—
2025	33	INTL RAW	Cangrejeros de Santurce	—	63	61	12	4	0	0	2	11	0	1	1	197	222	262	485	66	240	17	3	219	34	—	—	—	—	—	—
2010	18	ROK MLE	2 teams	—	214	198	47	8	1	3	10	55	4	12	10	237	293	333	627	96	300	26	5	276	73	—	—	—	—	—	—
2011	19	A MLE	2 teams	—	390	372	82	15	4	5	13	118	2	16	8	220	252	323	575	102	298	30	3	244	51	—	—	—	—	—	—
2012	20	A MLE	2 teams	—	605	562	127	23	4	8	34	166	4	15	11	226	276	324	600	98	305	27	6	263	64	—	—	—	—	—	—
2013	21	A+ MLE	2 teams	—	704	649	138	29	7	15	42	186	7	14	13	213	271	348	620	136	260	26	6	264	65	—	—	—	—	—	—
2014	22	AA MLE	2 teams	—	318	301	94	13	4	3	13	78	1	3	6	312	343	412	755	100	401	25	4	318	101	—	—	—	—	—	—
2015	23	INTL MLE	3 teams	—	349	321	76	20	4	0	24	72	1	5	3	237	294	324	618	87	300	21	7	268	68	—	—	—	—	—	—
2016	24	AAA MLE	3 teams	—	562	535	135	19	9	9	19	120	3	9	7	252	288	372	660	120	301	21	3	287	80	—	—	—	—	—	—
2017	25	AAA MLE	3 teams	—	232	218	68	11	1	6	12	39	0	3	2	312	348	454	802	142	351	17	5	346	120	—	—	—	—	—	—
2018	26	AAA MLE	2 teams	—	575	538	134	25	5	11	30	135	2	10	5	249	296	375	671	126	308	23	5	288	81	—	—	—	—	—	—
2019	27	AAA MLE	2 teams	—	534	499	106	23	0	13	26	143	4	7	3	212	257	337	594	124	263	27	5	256	59	—	—	—	—	—	—
2021	29	AAA MLE	3 teams	—	369	334	96	15	1	10	26	74	6	4	5	287	352	428	780	141	332	20	7	340	116	—	—	—	—	—	—
2023	31	AAA MLE	2 teams	—	413	367	95	19	4	8	38	99	5	8	5	259	336	398	734	139	326	24	9	320	103	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	141	124	28	5	1	1	15	33	1	2	1	226	314	306	621	81	297	23	11	286	61	-3	+0	-1	-8	+3	-1.0
/ 162G	—	A+C		—	650	572	130	23	5	5	69	152	5	9	5	227	316	311	627	84	298	23	11	286	61	-16	+0	-5	-39	+14	-4.6
Career	—	MLE		—	5772	5292	1314	246	46	99	339	1358	46	114	86	248	299	368	668	120	313	24	6	259	61	-3	+0	-1	-8	+3	-1.0
/ 162G	—	MLE		—	650	596	148	28	5	11	38	153	5	13	10	248	298	367	666	119	314	24	6	259	61	-16	+0	-5	-39	+14	-4.6

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.

2023 AAALouisville Bats · 327 PAwOBA .406 → .324 (−82)K% 19.9% → 23.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.88%	÷1.004	×1.200	—	—	23.75%
BB% (unintentional) /PA	12.23%	÷0.993	×0.690	—	×0.962	8.18%
HBP% /PA	1.22%	—	×0.940	—	×0.962	1.11%
Singles /BIP	25.58%	÷0.998	×0.930	×0.992	×0.962	22.76%
Doubles /BIP	8.37%	÷0.938	×0.830	×0.992	×0.962	7.07%
Triples /BIP	1.40%	÷1.042	×0.970	×0.992	×0.962	1.24%
Home runs /BIP	6.05%	÷1.054	×0.700	—	×0.962	3.86%

Factors used: league row International League. Park (home-season share, regressed): HR 111, 1B 100, 2B 88, 3B 108, K 101, BB 99 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.992.

Result: wOBA .406 → .324; ISO .225 → .165; BABIP .374 → .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).

2021 AAAReno Aces · 294 PAwOBA .439 → .357 (−82)K% 16.3% → 19.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.33%	÷0.991	×1.200	—	—	19.77%
BB% (unintentional) /PA	9.86%	÷0.963	×0.690	—	×0.982	6.94%
HBP% /PA	1.70%	—	×0.940	—	×0.982	1.57%
Singles /BIP	31.73%	÷1.047	×0.930	×1.012	×0.982	28.01%
Doubles /BIP	7.69%	÷1.096	×0.830	×1.012	×0.982	5.79%
Triples /BIP	0.48%	÷1.113	×0.920	×1.012	×0.982	0.40%
Home runs /BIP	5.77%	÷0.958	×0.700	—	×0.982	4.14%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 92, 1B 109, 2B 119, 3B 123, K 98, BB 93 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.012.

Result: wOBA .439 → .357; ISO .211 → .157; BABIP .415 → .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).

2019 AAASacramento River Cats · 366 PAwOBA .326 → .256 (−70)K% 20.2% → 26.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.22%	÷0.971	×1.290	—	—	26.85%
BB% (unintentional) /PA	6.56%	÷0.980	×0.710	—	×1.003	4.76%
HBP% /PA	0.55%	—	×0.980	—	×1.003	0.54%
Singles /BIP	21.84%	÷0.982	×0.900	×0.961	×1.003	19.30%
Doubles /BIP	8.05%	÷0.981	×0.810	×0.961	×1.003	6.41%
Triples /BIP	0.00%	÷1.008	×0.810	×0.961	×1.003	0.00%
Home runs /BIP	4.60%	÷1.027	×0.780	—	×1.003	3.50%

Factors used: league row PCL. Park (home-season share, regressed): HR 105, 1B 96, 2B 96, 3B 102, K 94, BB 96 — 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 ×0.961.

Result: wOBA .326 → .256; ISO .170 → .125; BABIP .310 → .263. 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 AAAOklahoma City Dodgers · 393 PAwOBA .347 → .288 (−59)K% 17.6% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.56%	÷0.970	×1.290	—	—	23.36%
BB% (unintentional) /PA	7.38%	÷1.021	×0.710	—	×1.018	5.22%
HBP% /PA	0.00%	—	×0.980	—	×1.018	0.00%
Singles /BIP	24.31%	÷0.992	×0.900	×1.014	×1.018	22.77%
Doubles /BIP	7.64%	÷1.029	×0.810	×1.014	×1.018	6.21%
Triples /BIP	1.39%	÷1.020	×0.810	×1.014	×1.018	1.14%
Home runs /BIP	3.47%	÷1.020	×0.780	—	×1.018	2.70%

Factors used: league row PCL. Park (home-season share, regressed): HR 104, 1B 98, 2B 106, 3B 104, K 94, BB 104 — 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 ×1.014.

Result: wOBA .347 → .288; ISO .168 → .130; BABIP .344 → .308. 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 AAAOklahoma City Dodgers · 111 PAwOBA .340 → .299 (−41)K% 11.7% → 15.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.71%	÷1.000	×1.290	—	—	15.11%
BB% (unintentional) /PA	5.41%	÷1.017	×0.710	—	×1.033	3.90%
HBP% /PA	0.00%	—	×0.980	—	×1.033	0.00%
Singles /BIP	21.74%	÷0.978	×0.900	×1.050	×1.033	21.71%
Doubles /BIP	8.70%	÷1.038	×0.810	×1.050	×1.033	7.36%
Triples /BIP	0.00%	÷1.150	×0.810	×1.050	×1.033	0.00%
Home runs /BIP	3.26%	÷0.989	×0.780	—	×1.033	2.66%

Factors used: league row PCL. Park (home-season share, regressed): HR 98, 1B 96, 2B 108, 3B 130, K 100, BB 103 — 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 ×1.050.

Result: wOBA .340 → .299; ISO .162 → .131; BABIP .315 → .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).

2017 AATulsa Drillers · 101 PAwOBA .477 → .397 (−80)K% 14.9% → 19.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.85%	÷0.955	×1.220	—	—	18.97%
BB% (unintentional) /PA	9.90%	÷1.058	×0.700	—	×0.998	6.54%
HBP% /PA	0.00%	—	×0.870	—	×0.998	0.00%
Singles /BIP	36.49%	÷1.005	×0.920	×1.030	×0.998	34.34%
Doubles /BIP	5.41%	÷1.000	×0.840	×1.030	×0.998	4.67%
Triples /BIP	1.35%	÷1.150	×0.940	×1.030	×0.998	1.14%
Home runs /BIP	6.76%	÷1.295	×0.800	—	×0.998	4.17%

Factors used: league row TL. Park (home-season share, regressed): HR 159, 1B 101, 2B 100, 3B 130, K 91, BB 112 — 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 ×1.030.

Result: wOBA .477 → .397; ISO .236 → .164; BABIP .451 → .408. 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 AAAPawtucket Red Sox · 209 PAwOBA .294 → .288 (−6)K% 21.1% → 25.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.05%	÷0.979	×1.200	—	—	25.80%
BB% (unintentional) /PA	4.78%	÷1.007	×0.690	—	×1.048	3.44%
HBP% /PA	0.48%	—	×0.940	—	×1.048	0.47%
Singles /BIP	21.23%	÷0.957	×0.930	×1.028	×1.048	22.23%
Doubles /BIP	5.48%	÷0.923	×0.830	×1.028	×1.048	5.31%
Triples /BIP	2.05%	÷0.912	×0.970	×1.028	×1.048	2.36%
Home runs /BIP	3.42%	÷0.994	×0.840	—	×1.048	3.03%

Factors used: league row IL. Park (home-season share, regressed): HR 99, 1B 91, 2B 85, 3B 82, K 96, BB 101 — 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 ×1.028.

Result: wOBA .294 → .288; ISO .153 → .148; BABIP .288 → .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).

2016 AAPortland Sea Dogs · 189 PAwOBA .309 → .285 (−24)K% 13.2% → 16.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.23%	÷0.985	×1.220	—	—	16.38%
BB% (unintentional) /PA	4.76%	÷1.050	×0.700	—	×1.012	3.21%
HBP% /PA	1.06%	—	×0.850	—	×1.012	0.91%
Singles /BIP	24.66%	÷1.040	×0.970	×1.050	×1.012	24.43%
Doubles /BIP	4.11%	÷0.997	×0.860	×1.050	×1.012	3.77%
Triples /BIP	2.05%	÷1.031	×0.950	×1.050	×1.012	2.01%
Home runs /BIP	2.05%	÷1.371	×0.780	—	×1.012	1.18%

Factors used: league row EL. Park (home-season share, regressed): HR 174, 1B 108, 2B 99, 3B 106, K 97, BB 110 — 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 ×1.050.

Result: wOBA .309 → .285; ISO .123 → .100; BABIP .312 → .304. 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 — .