Ramón Flores

PosRF

B/TL/L

Born1992-03-26

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
2024	32	INTLBravos de Mar…	145	.200/.329/.292	2	0	82	—
2025	33	INTLBravos de Mar…	227	.289/.429/.444	5	1	150	—
2026	34	INTLBravos de Mar…	45	.303/.477/.394	0	0	155	—

Contract

No contract data on file.

Skills · percentileStatcast 2015-2017

Speed46

Barrel%10

xwOBA10

Avg EV10

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)
2009	17	ROK	GCL Yankees	—	239	197	41	5	4	1	33	40	4	7	6	208	333	289	623	81	252	17	14	289	32	—	—	—	—	—	—
2010	18	A+	Tampa Yankees	—	28	28	7	0	0	0	0	5	0	0	0	250	250	250	500		304	18	0	226	15	—	—	—	—	—	—
2010	18	A	Charleston RiverDogs	—	51	48	12	3	0	0	3	15	0	1	0	250	294	312	607	62	364	29	6	276	36	—	—	—	—	—	—
2010	18	ROK	GCL Yankees	—	189	158	52	10	4	2	28	22	2	4	1	329	436	481	917	152	373	12	15	408	88	—	—	—	—	—	—
2011	19	A	Charleston RiverDogs	—	534	468	124	26	2	11	61	93	3	13	2	265	353	400	753	135	310	17	11	339	71	—	—	—	—	—	—
2012	20	A+	Tampa Yankees	—	583	517	156	29	7	6	54	85	5	24	9	302	373	420	793	118	348	15	9	353	88	—	—	—	—	—	—
2012	20	INTL	Tigres de Aragua	—	15	13	3	0	0	0	1	2	1	0	0	231	333	231	564		273	13	7	277	73	—	—	—	—	—	—
2013	21	AA	Trenton Thunder	—	620	534	139	25	6	6	77	98	2	7	6	260	356	363	719	103	306	16	12	325	82	—	—	—	—	—	—
2014	22	AAA	Scranton/Wilkes-Barre RailRiders	—	271	235	58	17	4	7	33	45	1	3	2	247	342	443	785	196	276	17	12	346	90	—	—	—	—	—	—
2014	22	ROK	GCL Yankees1	—	18	17	6	3	0	2	1	5	0	0	0	353	389	882	1.271	529	400	28	6	534	105	—	—	—	—	—	—
2014	22	INTL	Tigres de Aragua	—	231	196	68	8	4	5	31	33	1	2	2	347	439	505	944	158	394	14	13	414	166	—	—	—	—	—	—
2015	23	MLB	New York Yankees	—	33	32	7	1	0	0	0	4	0	0	0	219	219	250	469	31	250	12	0	203	24	-3	+0	+2	-4	+1	-0.5
2015	23	AAA	Tacoma Rainiers	—	384	328	101	17	2	9	50	49	3	3	2	308	404	454	858	146	337	13	13	383	106	—	—	—	—	—	—
2016	24	MLB	Milwaukee Brewers	—	289	249	51	8	0	2	31	58	2	3	0	205	298	261	559	56	254	20	11	258	58	-15	+1	-6	-6	+6	-2.1
2016	24	AAA	Colorado Springs Sky Sox	—	31	28	7	1	0	1	2	7	0	0	0	250	300	393	693	143	286	23	6	300	50	—	—	—	—	—	—
2016	24	INTL	Tigres de Aragua	—	260	224	64	15	3	2	32	31	2	1	0	286	380	406	786	121	321	12	12	353	125	—	—	—	—	—	—
2017	25	AAA	Salt Lake Bees	—	493	413	129	21	5	10	68	70	2	12	2	312	412	460	872	148	353	14	14	383	114	—	—	—	—	—	—
2017	25	INTL	Tigres de Aragua	—	84	73	19	3	0	0	10	11	0	1	0	260	349	301	651	41	302	13	12	301	90	—	—	—	—	—	—
2018	26	AAA	Pawtucket Red Sox	—	223	195	42	7	1	3	23	42	1	2	1	215	301	308	609	92	257	19	10	277	40	—	—	—	—	—	—
2019	27	AAA	Rochester Red Wings	—	131	107	33	4	1	3	23	22	1	2	2	308	435	449	884	140	366	17	18	400	112	—	—	—	—	—	—
2020	28	INTL	Bravos de Margarita	—	152	130	42	7	0	5	22	23	0	2	1	323	421	492	913	169	363	15	14	407	162	—	—	—	—	—	—
2021	29	AAA	Rochester Red Wings	—	26	21	3	0	0	0	5	4	0	0	0	143	308	143	451		176	15	19	239	12	—	—	—	—	—	—
2021	29	AA	Harrisburg Senators	—	46	38	5	0	0	0	7	13	0	0	0	132	267	132	398		192	28	15	205	-1	—	—	—	—	—	—
2021	29	INTL	Bravos de Margarita	—	208	161	67	11	0	4	41	22	4	0	0	416	544	559	1.103	143	460	11	20	486	215	—	—	—	—	—	—
2022	30	INTL	Bravos de Margarita	—	223	189	56	9	3	1	32	23	0	3	0	296	398	392	790	95	329	10	14	357	128	—	—	—	—	—	—
2023	31	INTL	Venezuela	—	278	225	63	7	2	4	46	39	3	1	2	280	409	382	791	102	317	14	17	360	130	—	—	—	—	—	—
2024	32	INTL	Bravos de Margarita	—	145	120	24	3	1	2	23	25	0	0	0	200	329	292	620	92	232	17	16	289	82	—	—	—	—	—	—
2025	33	INTL	Bravos de Margarita	—	227	180	52	9	2	5	42	39	2	1	1	289	429	444	873	156	338	17	19	390	150	—	—	—	—	—	—
2026	34	INTL	Bravos de Margarita	—	45	33	10	3	0	0	11	6	0	0	0	303	477	394	871	91	357	13	24	397	155	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	322	281	58	9	0	2	31	62	2	3	0	206	290	260	550	53	253	19	10	253	57	-16	+1	-4	-11	+7	-2.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	17	ROK MLE	GCL Yankees	—	239	210	35	4	3	1	20	58	4	7	6	167	252	229	481	62	207	24	8	215	32	—	—	—	—	—	—
2010	18	A+ MLE	Tampa Yankees	—	28	28	6	0	0	0	0	7	0	0	0	214	214	214	429		290	25	0	191	15	—	—	—	—	—	—
2010	18	A MLE	Charleston RiverDogs	—	51	49	10	2	0	0	2	19	0	1	0	204	235	245	480	41	341	37	4	221	36	—	—	—	—	—	—
2010	18	ROK MLE	GCL Yankees	—	189	168	42	7	3	2	18	32	2	4	1	250	330	363	693	113	294	17	10	299	88	—	—	—	—	—	—
2011	19	A MLE	Charleston RiverDogs	—	534	492	113	22	2	8	37	125	3	13	2	230	288	331	619	102	292	23	7	273	71	—	—	—	—	—	—
2012	20	A+ MLE	Tampa Yankees	—	583	535	140	26	6	6	36	123	5	24	9	262	314	366	681	105	323	21	6	299	88	—	—	—	—	—	—
2013	21	AA MLE	Trenton Thunder	—	620	557	140	20	6	5	54	119	2	7	6	251	320	336	655	84	303	19	9	289	82	—	—	—	—	—	—
2014	22	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	271	244	55	16	4	6	24	56	1	3	2	225	297	398	695	172	265	21	9	301	90	—	—	—	—	—	—
2014	22	ROK MLE	GCL Yankees1	—	18	17	4	2	0	1	1	7	0	0	0	235	278	529	807	294	277	39	6	324	105	—	—	—	—	—	—
2015	23	MLB MLE	New York Yankees	—	33	32	7	1	0	0	0	4	0	0	0	219	219	250	469	31	250	12	0	204	24	-3	+0	+2	-4	+1	-0.5
2015	23	AAA MLE	Tacoma Rainiers	—	384	344	94	16	2	7	34	60	3	3	2	273	344	392	736	119	309	16	9	325	106	—	—	—	—	—	—
2016	24	MLB MLE	Milwaukee Brewers	—	289	252	52	9	0	2	28	58	2	3	0	206	291	266	557	60	254	20	10	253	58	-15	+1	-6	-6	+6	-2.1
2016	24	AAA MLE	Colorado Springs Sky Sox	—	31	29	6	1	0	1	1	9	0	0	0	207	233	345	578	138	246	29	3	242	50	—	—	—	—	—	—
2017	25	AAA MLE	Salt Lake Bees	—	493	431	124	19	4	8	50	89	2	12	2	288	364	406	770	118	334	18	10	336	114	—	—	—	—	—	—
2018	26	AAA MLE	Pawtucket Red Sox	—	223	204	40	6	1	2	14	51	1	2	1	196	251	265	516	69	238	23	6	228	40	—	—	—	—	—	—
2019	27	AAA MLE	Rochester Red Wings	—	131	116	32	3	1	3	14	26	1	2	2	276	359	397	755	121	337	20	11	334	112	—	—	—	—	—	—
2021	29	AAA MLE	Rochester Red Wings	—	26	23	3	0	0	0	3	5	0	0	0	130	231	130	361		162	19	12	186	12	—	—	—	—	—	—
2021	29	AA MLE	Harrisburg Senators	—	46	40	5	0	0	0	5	16	0	0	0	125	222	125	347		179	35	11	166	-1	—	—	—	—	—	—
2009	17	ROK MLE	GCL Yankees	—	239	210	35	4	3	1	20	58	4	7	6	167	252	229	481	62	221	24	8	215	32	—	—	—	—	—	—
2009	17	ROK RAW	GCL Yankees	—	239	197	41	5	4	1	33	40	4	7	6	208	333	289	623	81	252	17	14	289	32	—	—	—	—	—	—
2010	18	ROK MLE	3 teams	—	268	245	59	10	3	2	20	58	2	5	1	241	303	331	634	90	308	22	7	273	71	—	—	—	—	—	—
2010	18	ROK RAW	3 teams	—	268	234	71	13	4	2	31	42	2	5	1	303	390	419	808	115	363	16	12	364	71	—	—	—	—	—	—
2011	19	A MLE	Charleston RiverDogs	—	534	492	113	22	2	8	37	125	3	13	2	230	288	331	619	102	292	23	7	273	71	—	—	—	—	—	—
2011	19	A RAW	Charleston RiverDogs	—	534	468	124	26	2	11	61	93	3	13	2	265	353	400	753	135	310	17	11	339	71	—	—	—	—	—	—
2012	20	A+ MLE	2 teams	—	598	549	145	27	7	6	36	126	6	24	9	264	316	372	688	107	329	21	6	299	88	—	—	—	—	—	—
2012	20	A+ RAW	2 teams	—	598	530	159	29	7	6	55	87	6	24	9	300	372	415	787	115	346	15	9	351	88	—	—	—	—	—	—
2013	21	AA MLE	Trenton Thunder	—	620	557	140	20	6	5	54	119	2	7	6	251	320	336	655	84	309	19	9	289	82	—	—	—	—	—	—
2013	21	AA RAW	Trenton Thunder	—	620	534	139	25	6	6	77	98	2	7	6	260	356	363	719	103	306	16	12	325	82	—	—	—	—	—	—
2014	22	AAA MLE	3 teams	—	520	468	106	31	8	13	45	113	2	5	4	226	297	410	707	184	269	22	9	302	91	—	—	—	—	—	—
2014	22	AAA RAW	3 teams	—	520	448	132	28	8	14	65	83	2	5	4	295	386	487	873	192	332	16	12	383	91	—	—	—	—	—	—
2015	23	AAA MLE	2 teams	—	417	376	101	17	2	7	34	64	3	3	2	269	334	380	714	112	305	15	8	315	100	—	—	—	—	—	—
2015	23	AAA RAW	2 teams	—	417	360	108	18	2	9	50	53	3	3	2	300	390	436	826	136	329	13	12	368	100	—	—	—	—	—	—
2016	24	MLB MLE	3 teams	—	580	513	105	17	0	5	53	122	4	4	0	205	284	267	551	62	254	21	9	252	57	-30	+1	-6	-6	+13	-3.0
2016	24	MLB RAW	3 teams	—	580	501	122	24	3	5	65	96	4	4	0	244	335	333	668	90	287	17	11	303	57	-30	+1	-6	-6	+13	-3.0
2017	25	AAA MLE	2 teams	—	577	505	146	22	5	10	59	104	2	13	2	289	366	412	778	123	343	18	10	336	114	—	—	—	—	—	—
2017	25	AAA RAW	2 teams	—	577	486	148	24	5	10	78	81	2	13	2	305	403	436	839	132	345	14	14	371	114	—	—	—	—	—	—
2018	26	AAA MLE	Pawtucket Red Sox	—	223	204	40	6	1	2	14	51	1	2	1	196	251	265	516	69	248	23	6	228	40	—	—	—	—	—	—
2018	26	AAA RAW	Pawtucket Red Sox	—	223	195	42	7	1	3	23	42	1	2	1	215	301	308	609	92	257	19	10	277	40	—	—	—	—	—	—
2019	27	AAA MLE	Rochester Red Wings	—	131	116	32	3	1	3	14	26	1	2	2	276	359	397	755	121	333	20	11	334	112	—	—	—	—	—	—
2019	27	AAA RAW	Rochester Red Wings	—	131	107	33	4	1	3	23	22	1	2	2	308	435	449	884	140	366	17	18	400	112	—	—	—	—	—	—
2020	28	INTL MLE	Bravos de Margarita	—	152	130	42	7	0	5	22	23	0	2	1	323	421	492	913	169	363	15	14	—	—	—	—	—	—	—	—
2020	28	INTL RAW	Bravos de Margarita	—	152	130	42	7	0	5	22	23	0	2	1	323	421	492	913	169	363	15	14	407	162	—	—	—	—	—	—
2021	29	INTL MLE	3 teams	—	280	241	29	0	0	0	32	82	4	0	0	120	235	120	355		179	29	11	173	3	—	—	—	—	—	—
2021	29	INTL RAW	3 teams	—	280	220	75	11	0	4	53	39	4	0	0	341	477	445	922	105	394	14	19	417	3	—	—	—	—	—	—
2022	30	INTL MLE	Bravos de Margarita	—	223	189	56	9	3	1	32	23	0	3	0	296	398	392	790	95	329	10	14	—	—	—	—	—	—	—	—
2022	30	INTL RAW	Bravos de Margarita	—	223	189	56	9	3	1	32	23	0	3	0	296	398	392	790	95	329	10	14	357	128	—	—	—	—	—	—
2023	31	INTL MLE	Venezuela	—	278	225	63	7	2	4	46	39	3	1	2	280	409	382	791	102	317	14	17	—	—	—	—	—	—	—	—
2023	31	INTL RAW	Venezuela	—	278	225	63	7	2	4	46	39	3	1	2	280	409	382	791	102	317	14	17	360	130	—	—	—	—	—	—
2024	32	INTL MLE	Bravos de Margarita	—	145	120	24	3	1	2	23	25	0	0	0	200	329	292	620	92	232	17	16	—	—	—	—	—	—	—	—
2024	32	INTL RAW	Bravos de Margarita	—	145	120	24	3	1	2	23	25	0	0	0	200	329	292	620	92	232	17	16	289	82	—	—	—	—	—	—
2025	33	INTL MLE	Bravos de Margarita	—	227	180	52	9	2	5	42	39	2	1	1	289	429	444	873	156	338	17	19	—	—	—	—	—	—	—	—
2025	33	INTL RAW	Bravos de Margarita	—	227	180	52	9	2	5	42	39	2	1	1	289	429	444	873	156	338	17	19	390	150	—	—	—	—	—	—
2026	34	INTL MLE	Bravos de Margarita	—	45	33	10	3	0	0	11	6	0	0	0	303	477	394	871	91	357	13	24	—	—	—	—	—	—	—	—
2026	34	INTL RAW	Bravos de Margarita	—	45	33	10	3	0	0	11	6	0	0	0	303	477	394	871	91	357	13	24	397	155	—	—	—	—	—	—
2009	17	ROK MLE	GCL Yankees	—	239	213	35	4	3	1	20	58	4	7	6	164	252	225	477	61	207	24	8	215	32	—	—	—	—	—	—
2010	18	ROK MLE	3 teams	—	268	244	59	10	3	2	20	58	2	5	1	242	303	332	635	90	303	22	7	273	71	—	—	—	—	—	—
2011	19	A MLE	Charleston RiverDogs	—	534	489	113	22	2	8	37	125	3	13	2	231	288	333	621	102	292	23	7	273	71	—	—	—	—	—	—
2012	20	A+ MLE	2 teams	—	598	551	145	27	7	6	36	126	6	24	9	263	316	370	687	107	323	21	6	299	88	—	—	—	—	—	—
2013	21	AA MLE	Trenton Thunder	—	620	559	140	20	6	5	54	119	2	7	6	250	320	335	654	84	303	19	9	289	82	—	—	—	—	—	—
2014	22	AAA MLE	3 teams	—	520	468	106	31	8	13	45	113	2	5	4	226	297	410	707	184	266	22	9	302	91	—	—	—	—	—	—
2015	23	AAA MLE	2 teams	—	417	377	101	17	2	7	34	64	3	3	2	268	334	379	713	111	304	15	8	315	100	—	—	—	—	—	—
2016	24	MLB MLE	3 teams	—	580	518	105	17	0	5	53	122	4	4	0	203	284	264	549	62	253	21	9	252	57	—	—	—	—	—	—
2017	25	AAA MLE	2 teams	—	577	511	146	22	5	10	59	104	2	13	2	286	366	407	773	121	334	18	10	336	114	—	—	—	—	—	—
2018	26	AAA MLE	Pawtucket Red Sox	—	223	206	40	6	1	2	14	51	1	2	1	194	251	262	513	68	238	23	6	228	40	—	—	—	—	—	—
2019	27	AAA MLE	Rochester Red Wings	—	131	115	32	3	1	3	14	26	1	2	2	278	359	400	759	122	337	20	11	334	112	—	—	—	—	—	—
2021	29	INTL MLE	3 teams	—	280	242	29	0	0	0	32	82	4	0	0	120	235	120	354		173	29	11	173	3	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	322	281	58	9	0	2	31	62	2	3	0	206	290	260	550	53	253	19	10	253	43	-16	+1	-4	-11	+7	-2.4
/ 162G	—	A+C		—	650	567	117	18	0	4	63	125	4	6	0	206	290	259	549	53	253	19	10	253	43	-33	+1	-9	-22	+14	-4.9
Career	—	MLE		—	6057	5353	1298	217	46	79	594	1203	39	92	39	242	323	344	667	102	296	20	10	231	43	-16	+1	-4	-11	+7	-2.4
/ 162G	—	MLE		—	650	574	139	23	5	8	64	129	4	10	4	242	322	341	663	99	296	20	10	231	43	-33	+1	-9	-22	+14	-4.9

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.

2021 AAHarrisburg Senators · 46 PAwOBA .205 → .166 (−39)K% 28.3% → 35.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.26%	÷0.980	×1.220	—	—	35.20%
BB% (unintentional) /PA	15.22%	÷0.948	×0.690	—	×0.958	10.61%
HBP% /PA	0.00%	—	×0.850	—	×0.958	0.00%
Singles /BIP	20.00%	÷0.967	×0.940	—	×0.958	18.63%
Doubles /BIP	0.00%	÷1.055	×0.870	—	×0.958	0.00%
Triples /BIP	0.00%	÷1.150	×0.920	—	×0.958	0.00%
Home runs /BIP	0.00%	÷1.037	×0.780	—	×0.958	0.00%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 93, 2B 111, 3B 130, K 96, BB 90 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average).

Result: wOBA .205 → .166; ISO .000 → .000; BABIP .192 → .179. 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 AAARochester Red Wings · 26 PAwOBA .234 → .186 (−48)K% 15.4% → 18.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.38%	÷0.979	×1.200	—	—	18.85%
BB% (unintentional) /PA	19.23%	÷1.014	×0.690	—	×0.982	12.85%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	17.65%	÷0.994	×0.930	—	×0.982	16.21%
Doubles /BIP	0.00%	÷1.005	×0.830	—	×0.982	0.00%
Triples /BIP	0.00%	÷1.150	×0.920	—	×0.982	0.00%
Home runs /BIP	0.00%	÷0.968	×0.700	—	×0.982	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 99, 2B 101, 3B 130, K 96, BB 103 — 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).

Result: wOBA .234 → .186; ISO .000 → .000; BABIP .176 → .162. 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 AAARochester Red Wings · 131 PAwOBA .388 → .334 (−54)K% 16.8% → 20.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.79%	÷0.999	×1.200	—	—	20.17%
BB% (unintentional) /PA	16.79%	÷1.095	×0.690	—	×1.003	10.61%
HBP% /PA	0.76%	—	×0.940	—	×1.003	0.72%
Singles /BIP	29.41%	÷0.982	×0.930	—	×1.003	27.94%
Doubles /BIP	4.71%	÷1.063	×0.830	—	×1.003	3.69%
Triples /BIP	1.18%	÷1.150	×0.970	—	×1.003	1.00%
Home runs /BIP	3.53%	÷0.958	×0.840	—	×1.003	3.11%

Factors used: league row IL. Park (home-season share, regressed): HR 92, 1B 96, 2B 113, 3B 130, K 100, BB 119 — 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 .388 → .334; ISO .140 → .126; BABIP .366 → .337. 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 AAAPawtucket Red Sox · 223 PAwOBA .268 → .228 (−40)K% 18.8% → 22.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.83%	÷0.994	×1.200	—	—	22.73%
BB% (unintentional) /PA	9.42%	÷1.082	×0.690	—	×1.018	6.11%
HBP% /PA	0.45%	—	×0.940	—	×1.018	0.43%
Singles /BIP	20.26%	÷1.000	×0.930	×1.013	×1.018	19.43%
Doubles /BIP	4.58%	÷1.067	×0.830	×1.013	×1.018	3.67%
Triples /BIP	0.65%	÷0.900	×0.970	×1.013	×1.018	0.73%
Home runs /BIP	1.96%	÷1.342	×0.840	—	×1.018	1.25%

Factors used: league row IL. Park (home-season share, regressed): HR 168, 1B 100, 2B 113, 3B 80, K 99, BB 116 — 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 ×1.013.

Result: wOBA .268 → .228; ISO .092 → .072; BABIP .257 → .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 AAASalt Lake Bees · 493 PAwOBA .377 → .336 (−41)K% 14.2% → 18.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.20%	÷1.010	×1.290	—	—	18.13%
BB% (unintentional) /PA	13.79%	÷0.993	×0.710	—	×1.033	10.19%
HBP% /PA	0.41%	—	×0.980	—	×1.033	0.41%
Singles /BIP	27.11%	÷0.986	×0.900	×1.038	×1.033	26.54%
Doubles /BIP	6.12%	÷1.009	×0.810	×1.038	×1.033	5.27%
Triples /BIP	1.46%	÷1.093	×0.810	×1.038	×1.033	1.16%
Home runs /BIP	2.92%	÷0.989	×0.780	—	×1.033	2.38%

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 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 ×1.038.

Result: wOBA .377 → .336; ISO .148 → .125; BABIP .353 → .334. 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 AAAColorado Springs Sky Sox · 31 PAwOBA .301 → .242 (−59)K% 22.6% → 30.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.58%	÷0.964	×1.290	—	—	30.22%
BB% (unintentional) /PA	6.45%	÷1.052	×0.710	—	×1.048	4.56%
HBP% /PA	0.00%	—	×0.980	—	×1.048	0.00%
Singles /BIP	23.81%	÷1.046	×0.900	—	×1.048	21.47%
Doubles /BIP	4.76%	÷1.196	×0.810	—	×1.048	3.38%
Triples /BIP	0.00%	÷1.150	×0.810	—	×1.048	0.00%
Home runs /BIP	4.76%	÷0.973	×0.780	—	×1.048	4.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 109, 2B 139, 3B 130, K 93, BB 110 — 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 .301 → .242; ISO .143 → .111; BABIP .286 → .246. 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).

2015 AAATacoma Rainiers · 384 PAwOBA .374 → .325 (−49)K% 12.8% → 15.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.76%	÷1.049	×1.290	—	—	15.69%
BB% (unintentional) /PA	12.50%	÷1.046	×0.710	—	×1.050	8.91%
HBP% /PA	0.78%	—	×0.980	—	×1.050	0.80%
Singles /BIP	26.16%	÷0.995	×0.900	×0.976	×1.050	24.25%
Doubles /BIP	6.09%	÷0.910	×0.810	×0.976	×1.050	5.56%
Triples /BIP	0.72%	÷0.900	×0.810	×0.976	×1.050	0.66%
Home runs /BIP	3.23%	÷1.127	×0.780	—	×1.050	2.34%

Factors used: league row PCL. Park (home-season share, regressed): HR 125, 1B 99, 2B 82, 3B 80, K 110, BB 109 — 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 ×0.976.

Result: wOBA .374 → .325; ISO .146 → .121; BABIP .337 → .309. 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).

2014 AAAScranton/Wilkes-Barre RailRiders · 271 PAwOBA .340 → .301 (−38)K% 16.6% → 20.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.61%	÷0.970	×1.200	—	—	20.55%
BB% (unintentional) /PA	12.18%	÷0.985	×0.690	—	×1.050	8.95%
HBP% /PA	0.37%	—	×0.940	—	×1.050	0.36%
Singles /BIP	15.79%	÷0.984	×0.930	×0.989	×1.050	15.50%
Doubles /BIP	8.95%	÷0.936	×0.830	×0.989	×1.050	8.24%
Triples /BIP	2.11%	÷0.954	×0.970	×0.989	×1.050	2.22%
Home runs /BIP	3.68%	÷1.067	×0.840	—	×1.050	3.05%

Factors used: league row IL. Park (home-season share, regressed): HR 113, 1B 97, 2B 87, 3B 91, K 94, BB 97 — 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 ×0.989.

Result: wOBA .340 → .301; ISO .196 → .177; BABIP .276 → .265. 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 — .