Danny Santana

PosOF

B/TS/R

Born1990-11-07

Age (2027)36

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2024

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2022	31	ROK/INTL2 orgs	111	.216/.273/.304	1	2	41	—	.174/.240/.217
2023	32	INTLTigres del Li…	71	.222/.310/.333	1	2	86	—
2024	33	INTLEstrellas Ori…	25	.143/.217/.143	0	1	-2	—

Contract

No contract data on file.

Skills · percentileStatcast 2019-2021

Avg EV73

xwOBA65

Speed60

Barrel%56

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)
2008	17	ROK	DSL Twins	—	219	190	52	6	10	1	20	38	2	15	4	274	349	426	775	153	329	17	9	333	38	—	—	—	—	—	—
2009	18	ROK	GCL Twins	—	185	170	45	7	5	3	8	27	2	12	1	265	306	418	723	153	296	15	4	311	45	—	—	—	—	—	—
2010	19	A	Beloit Snappers	—	144	130	31	4	3	0	7	40	3	10	4	238	293	315	608	77	337	28	5	269	40	—	—	—	—	—	—
2010	19	ROK	Elizabethton Twins	—	144	140	37	8	1	4	3	30	1	5	4	264	285	421	706	157	311	21	2	311	37	—	—	—	—	—	—
2011	20	A	Beloit Snappers	—	409	365	90	15	5	7	25	98	4	24	15	247	302	373	675	126	313	24	6	292	52	—	—	—	—	—	—
2012	21	A+	Fort Myers Miracle	—	547	507	145	21	9	8	29	77	5	17	11	286	331	410	741	124	322	14	5	327	68	—	—	—	—	—	—
2013	22	AA	New Britain Rock Cats	—	588	539	160	22	10	2	24	95	8	30	13	297	336	386	722	89	353	16	4	315	95	—	—	—	—	—	—
2013	22	INTL	Aguilas Cibaenas	—	130	122	38	7	2	2	4	17	1	8	1	311	339	451	789	139	350	13	3	341	117	—	—	—	—	—	—
2014	23	MLB	Minnesota Twins	—	430	405	129	27	7	7	19	98	3	20	4	319	354	472	825	153	405	23	4	362	131	+16	+2	+2	+2	+9	3.2
2014	23	AAA	Rochester Red Wings	—	105	97	26	7	2	0	6	28	0	4	1	268	311	381	692	113	377	27	6	303	64	—	—	—	—	—	—
2015	24	MLB	Minnesota Twins	—	277	261	56	10	5	0	6	68	3	8	4	215	241	291	532	77	290	25	2	233	42	-19	+0	-3	+6	+6	-1.1
2015	24	AAA	Rochester Red Wings	—	162	152	49	10	4	3	7	25	0	6	3	322	352	500	852	178	365	15	4	367	125	—	—	—	—	—	—
2015	24	INTL	Aguilas Cibaenas	—	99	95	29	5	1	1	2	14	0	3	3	305	320	411	730	105	350	14	2	317	101	—	—	—	—	—	—
2016	25	MLB	Minnesota Twins	—	248	233	56	10	2	2	12	55	1	12	9	240	280	326	607	86	305	22	5	272	70	-9	-1	-4	+1	+5	-0.8
2016	25	INTL	Aguilas Cibaenas	—	44	40	8	0	0	0	2	8	0	0	0	200	238	200	438		235	18	5	196	19	—	—	—	—	—	—
2017	26	MLB	Atlanta Braves	—	178	168	34	10	2	4	8	41	1	7	0	202	243	357	600	155	244	23	4	264	62	-8	+1	+1	-3	+4	-0.5
2017	26	AAA	Gwinnett Braves	—	19	18	9	1	0	0	1	3	0	2	0	500	526	556	1.082	56	600	16	5	485	169	—	—	—	—	—	—
2017	26	INTL	Aguilas Cibaenas	—	87	78	24	7	0	0	5	13	1	2	0	308	357	397	755	90	353	15	6	329	109	—	—	—	—	—	—
2018	27	MLB	Atlanta Braves	—	32	28	5	3	0	0	3	11	1	1	1	179	281	286	567	107	294	34	9	265	66	-1	-0	+2	-5	+1	-0.4
2018	27	AAA	Gwinnett Stripers	—	342	322	85	21	3	16	15	80	0	12	5	264	297	497	794	233	301	23	4	340	70	—	—	—	—	—	—
2018	27	INTL	Aguilas Cibaenas	—	96	92	18	3	1	3	3	23	0	9	2	196	221	348	569	152	224	24	3	247	54	—	—	—	—	—	—
2019	28	MLB	Texas Rangers	—	511	474	134	23	6	28	25	151	6	21	6	283	326	534	860	251	353	30	5	370	126	+16	+2	-3	-10	+11	1.6
2019	28	AAA	Nashville Sounds	—	40	35	12	4	1	0	4	10	1	1	1	343	425	514	939	171	480	25	10	415	101	—	—	—	—	—	—
2020	29	MLB	Texas Rangers	—	63	55	8	4	0	1	7	24	0	2	0	145	242	273	515	127	226	38	11	235	45	-4	+0	+1	-1	+1	-0.2
2021	30	MLB	Boston Red Sox	—	127	116	21	2	1	5	10	30	1	4	2	181	252	345	597	164	198	24	8	268	68	-5	+0	+0	+1	+3	-0.1
2021	30	AAA	Worcester Red Sox	—	47	40	12	5	0	2	7	9	0	2	0	300	404	575	979	275	345	19	15	425	97	—	—	—	—	—	—
2021	30	AA	Portland Sea Dogs	—	18	17	7	0	0	3	1	4	0	2	0	412	444	941	1.386	529	400	22	6	587	189	—	—	—	—	—	—
2021	30	INTL	Aguilas Cibaenas	—	104	98	21	5	2	1	6	27	0	0	0	214	260	337	596	122	286	26	6	266	66	—	—	—	—	—	—
2022	31	ROK	FCL Red Sox	—	25	21	6	2	0	0	4	5	0	0	0	286	400	381	781	95	375	20	16	359	34	—	—	—	—	—	—
2022	31	INTL	Toros del Este	—	86	81	16	2	1	1	3	25	1	2	1	198	235	284	519	86	273	29	3	232	43	—	—	—	—	—	—
2023	32	INTL	Tigres del Licey	—	71	63	14	4	0	1	6	16	2	2	0	222	310	333	643	111	283	23	8	296	86	—	—	—	—	—	—
2024	33	INTL	Estrellas Orientales	—	25	21	3	0	0	0	1	3	1	1	2	143	217	143	360		158	12	4	166	-2	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1866	1740	443	89	23	47	90	478	16	75	26	255	297	413	710	159	324	26	5	311	97	-7	+5	-5	-9	+40	2.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	17	ROK MLE	DSL Twins	—	219	196	35	4	6	0	14	46	2	15	4	179	241	260	501	82	218	21	6	225	38	—	—	—	—	—	—
2009	18	ROK MLE	GCL Twins	—	185	173	36	5	4	2	5	39	2	12	1	208	239	318	557	110	240	21	3	234	45	—	—	—	—	—	—
2010	19	A MLE	Beloit Snappers	—	144	132	27	3	2	0	5	54	3	10	4	205	250	258	508	53	325	38	3	227	40	—	—	—	—	—	—
2010	19	ROK MLE	Elizabethton Twins	—	144	141	29	6	1	3	2	43	1	5	4	206	222	326	548	121	262	30	1	223	37	—	—	—	—	—	—
2011	20	A MLE	Beloit Snappers	—	409	372	81	11	5	5	18	133	4	24	15	218	261	315	576	97	299	33	4	245	52	—	—	—	—	—	—
2012	21	A+ MLE	Fort Myers Miracle	—	547	515	122	19	7	7	21	114	5	17	11	237	274	342	615	105	285	21	4	268	68	—	—	—	—	—	—
2013	22	AA MLE	New Britain Rock Cats	—	588	548	166	21	11	2	16	113	8	30	13	303	332	392	725	89	361	19	3	309	95	—	—	—	—	—	—
2014	23	MLB MLE	Minnesota Twins	—	430	405	129	27	7	7	19	98	3	20	4	319	354	472	825	153	405	23	4	362	131	+16	+2	+2	+2	+9	3.2
2014	23	AAA MLE	Rochester Red Wings	—	105	99	24	6	2	0	4	33	0	4	1	242	272	343	615	101	359	31	4	263	64	—	—	—	—	—	—
2015	24	MLB MLE	Minnesota Twins	—	277	262	56	10	5	0	5	68	3	8	4	214	237	290	527	76	290	25	2	230	42	-19	+0	-3	+6	+6	-1.1
2015	24	AAA MLE	Rochester Red Wings	—	162	154	50	9	5	3	5	29	0	6	3	325	346	506	852	182	367	18	3	353	125	—	—	—	—	—	—
2016	25	MLB MLE	Minnesota Twins	—	248	233	56	10	2	2	12	55	1	12	9	240	280	326	607	86	305	22	5	271	70	-9	-1	-4	+1	+5	-0.8
2017	26	MLB MLE	Atlanta Braves	—	178	169	34	10	2	4	7	41	1	7	0	201	237	355	592	154	244	23	4	260	62	-8	+1	+1	-3	+4	-0.5
2017	26	AAA MLE	Gwinnett Braves	—	19	18	8	1	0	0	1	4	0	2	0	444	474	500	974	56	554	21	5	418	169	—	—	—	—	—	—
2018	27	MLB MLE	Atlanta Braves	—	32	28	5	3	0	0	3	11	1	1	1	179	281	286	567	107	294	34	9	265	66	-1	-0	+2	-5	+1	-0.4
2018	27	AAA MLE	Gwinnett Stripers	—	342	326	70	16	2	13	11	101	0	12	5	215	240	396	636	181	262	30	3	272	70	—	—	—	—	—	—
2019	28	MLB MLE	Texas Rangers	—	511	477	132	22	6	27	23	151	6	21	6	277	318	518	836	241	353	30	5	355	126	+16	+2	-3	-10	+11	1.6
2019	28	AAA MLE	Nashville Sounds	—	40	36	10	3	1	0	3	13	1	1	1	278	350	417	767	139	407	32	8	317	101	—	—	—	—	—	—
2020	29	MLB MLE	Texas Rangers	—	63	55	8	4	0	1	7	24	0	2	0	145	242	273	515	127	226	38	11	234	45	-4	+0	+1	-1	+1	-0.2
2021	30	MLB MLE	Boston Red Sox	—	127	116	21	2	1	5	10	30	1	4	2	181	252	345	597	164	198	24	8	268	68	-5	+0	+0	+1	+3	-0.1
2021	30	AAA MLE	Worcester Red Sox	—	47	43	10	4	0	1	4	11	0	2	0	233	298	395	693	163	288	23	9	312	97	—	—	—	—	—	—
2021	30	AA MLE	Portland Sea Dogs	—	18	17	5	0	0	2	1	5	0	2	0	294	333	647	980	353	320	28	6	448	189	—	—	—	—	—	—
2022	31	ROK MLE	FCL Red Sox	—	25	23	4	1	0	0	2	7	0	0	0	174	240	217	457	43	260	28	8	218	34	—	—	—	—	—	—
2008	17	ROK MLE	DSL Twins	—	219	196	35	4	6	0	14	46	2	15	4	179	241	260	501	82	227	21	6	225	38	—	—	—	—	—	—
2008	17	ROK RAW	DSL Twins	—	219	190	52	6	10	1	20	38	2	15	4	274	349	426	775	153	329	17	9	333	38	—	—	—	—	—	—
2009	18	ROK MLE	GCL Twins	—	185	173	36	5	4	2	5	39	2	12	1	208	239	318	557	110	254	21	3	234	45	—	—	—	—	—	—
2009	18	ROK RAW	GCL Twins	—	185	170	45	7	5	3	8	27	2	12	1	265	306	418	723	153	296	15	4	311	45	—	—	—	—	—	—
2010	19	A MLE	2 teams	—	288	273	56	9	3	3	7	96	4	15	8	205	236	293	529	88	301	33	2	225	38	—	—	—	—	—	—
2010	19	A RAW	2 teams	—	288	270	68	12	4	4	10	70	4	15	8	252	289	370	659	119	323	24	3	290	38	—	—	—	—	—	—
2011	20	A MLE	Beloit Snappers	—	409	372	81	11	5	5	18	133	4	24	15	218	261	315	576	97	318	33	4	245	52	—	—	—	—	—	—
2011	20	A RAW	Beloit Snappers	—	409	365	90	15	5	7	25	98	4	24	15	247	302	373	675	126	313	24	6	292	52	—	—	—	—	—	—
2012	21	A+ MLE	Fort Myers Miracle	—	547	515	122	19	7	7	21	114	5	17	11	237	274	342	615	105	290	21	4	268	68	—	—	—	—	—	—
2012	21	A+ RAW	Fort Myers Miracle	—	547	507	145	21	9	8	29	77	5	17	11	286	331	410	741	124	322	14	5	327	68	—	—	—	—	—	—
2013	22	AA MLE	2 teams	—	718	670	203	26	14	2	20	139	9	38	14	303	332	393	724	90	376	19	3	309	95	—	—	—	—	—	—
2013	22	AA RAW	2 teams	—	718	661	198	29	12	4	28	112	9	38	14	300	336	398	734	98	353	16	4	320	95	—	—	—	—	—	—
2014	23	MLB MLE	2 teams	—	535	504	153	33	9	7	23	131	3	24	5	304	338	446	784	143	398	24	4	342	118	+11	+3	+2	+2	+12	3.0
2014	23	MLB RAW	2 teams	—	535	502	155	34	9	7	25	126	3	24	5	309	345	454	799	145	400	24	5	350	118	+11	+3	+2	+2	+12	3.0
2015	24	MLB MLE	3 teams	—	538	511	129	23	12	3	12	119	3	17	10	252	274	362	636	110	322	22	2	275	73	-18	-1	-3	+6	+12	-0.4
2015	24	MLB RAW	3 teams	—	538	508	134	25	10	4	15	107	3	17	10	264	289	376	665	112	326	20	3	289	73	-18	-1	-3	+6	+12	-0.4
2016	25	MLB MLE	2 teams	—	292	273	65	12	2	2	14	65	1	12	9	238	278	319	596	81	301	22	5	271	70	-10	-1	-4	+1	+6	-0.9
2016	25	MLB RAW	2 teams	—	292	273	64	10	2	2	14	63	1	12	9	234	274	308	582	73	294	22	5	260	70	-10	-1	-4	+1	+6	-0.9
2017	26	MLB MLE	3 teams	—	284	267	61	16	3	6	11	64	2	11	0	228	264	378	643	150	275	23	4	275	72	-9	+2	+1	-3	+6	-0.3
2017	26	MLB RAW	3 teams	—	284	264	67	18	2	4	14	57	2	11	0	254	296	383	679	129	306	20	5	299	72	-9	+2	+1	-3	+6	-0.3
2018	27	AAA MLE	3 teams	—	470	445	94	24	3	16	18	141	1	22	8	211	244	387	630	175	267	30	4	271	70	—	—	—	—	—	—
2018	27	AAA RAW	3 teams	—	470	442	108	27	4	19	21	114	1	22	8	244	280	452	733	208	284	24	4	316	70	—	—	—	—	—	—
2019	28	MLB MLE	2 teams	—	551	513	140	25	6	27	26	164	7	22	7	273	317	503	820	230	346	30	5	352	125	+16	+2	-3	-10	+12	1.7
2019	28	MLB RAW	2 teams	—	551	509	146	27	7	28	29	161	7	22	7	287	333	532	866	246	363	29	5	373	125	+16	+2	-3	-10	+12	1.7
2020	29	MLB MLE	Texas Rangers	—	63	55	8	4	0	1	7	24	0	2	0	145	242	273	515	127	226	38	11	234	45	-4	+0	+1	-1	+1	-0.2
2020	29	MLB RAW	Texas Rangers	—	63	55	8	4	0	1	7	24	0	2	0	145	242	273	515	127	226	38	11	235	45	-4	+0	+1	-1	+1	-0.2
2021	30	MLB MLE	4 teams	—	296	273	56	9	2	13	22	70	1	8	2	205	267	396	662	190	226	24	7	296	86	-5	+1	+0	+1	+6	0.4
2021	30	MLB RAW	4 teams	—	296	271	61	12	3	11	24	70	1	8	2	225	291	413	704	188	263	24	8	312	86	-5	+1	+0	+1	+6	0.4
2022	31	INTL MLE	2 teams	—	111	99	18	5	0	0	10	32	1	2	1	182	264	232	496	51	269	29	9	218	34	—	—	—	—	—	—
2022	31	INTL RAW	2 teams	—	111	102	22	4	1	1	7	30	1	2	1	216	273	304	577	88	296	27	6	261	34	—	—	—	—	—	—
2023	32	INTL MLE	Tigres del Licey	—	71	63	14	4	0	1	6	16	2	2	0	222	310	333	643	111	283	23	8	—	—	—	—	—	—	—	—
2023	32	INTL RAW	Tigres del Licey	—	71	63	14	4	0	1	6	16	2	2	0	222	310	333	643	111	283	23	8	296	86	—	—	—	—	—	—
2024	33	INTL MLE	Estrellas Orientales	—	25	21	3	0	0	0	1	3	1	1	2	143	217	143	360		158	12	4	—	—	—	—	—	—	—	—
2024	33	INTL RAW	Estrellas Orientales	—	25	21	3	0	0	0	1	3	1	1	2	143	217	143	360		158	12	4	166	-2	—	—	—	—	—	—
2008	17	ROK MLE	DSL Twins	—	219	201	35	4	6	0	14	46	2	15	4	174	241	254	494	80	218	21	6	225	38	—	—	—	—	—	—
2009	18	ROK MLE	GCL Twins	—	185	176	36	5	4	2	5	39	2	12	1	205	239	312	551	108	240	21	3	234	45	—	—	—	—	—	—
2010	19	A MLE	2 teams	—	288	275	56	9	3	3	7	96	4	15	8	204	236	291	527	87	294	33	2	225	38	—	—	—	—	—	—
2011	20	A MLE	Beloit Snappers	—	409	384	81	11	5	5	18	133	4	24	15	211	261	305	566	94	299	33	4	245	52	—	—	—	—	—	—
2012	21	A+ MLE	Fort Myers Miracle	—	547	516	122	19	7	7	21	114	5	17	11	236	274	341	615	105	285	21	4	268	68	—	—	—	—	—	—
2013	22	AA MLE	2 teams	—	718	683	203	26	14	2	20	139	9	38	14	297	332	385	717	88	361	19	3	309	95	—	—	—	—	—	—
2014	23	MLB MLE	2 teams	—	535	504	153	33	9	7	23	131	3	24	5	304	338	446	784	143	396	24	4	342	118	—	—	—	—	—	—
2015	24	MLB MLE	3 teams	—	538	518	129	23	12	3	12	119	3	17	10	249	274	357	631	108	319	22	2	275	73	—	—	—	—	—	—
2016	25	MLB MLE	2 teams	—	292	275	65	12	2	2	14	65	1	12	9	236	278	316	594	80	305	22	5	271	70	—	—	—	—	—	—
2017	26	MLB MLE	3 teams	—	284	269	61	16	3	6	11	64	2	11	0	227	264	375	640	149	274	23	4	275	72	—	—	—	—	—	—
2018	27	AAA MLE	3 teams	—	470	448	94	24	3	16	18	141	1	22	8	210	244	384	627	174	265	30	4	271	70	—	—	—	—	—	—
2019	28	MLB MLE	2 teams	—	551	513	140	25	6	27	26	164	7	22	7	273	317	503	820	230	357	30	5	352	125	—	—	—	—	—	—
2020	29	MLB MLE	Texas Rangers	—	63	56	8	4	0	1	7	24	0	2	0	143	242	268	510	125	226	38	11	234	45	—	—	—	—	—	—
2021	30	MLB MLE	4 teams	—	296	271	56	9	2	13	22	70	1	8	2	207	267	399	665	192	231	24	7	296	86	—	—	—	—	—	—
2022	31	INTL MLE	2 teams	—	111	99	18	5	0	0	10	32	1	2	1	182	264	232	496	51	260	29	9	218	34	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1866	1740	443	89	23	47	90	478	16	75	26	255	297	413	710	159	324	26	5	311	75	-7	+5	-5	-9	+40	2.4
/ 162G	—	A+C		—	650	606	154	31	8	16	31	167	6	26	9	254	297	411	708	157	324	26	5	311	75	-2	+2	-2	-3	+14	0.8
Career	—	MLE		—	5602	5223	1274	229	76	95	235	1396	48	244	97	244	283	371	654	128	312	25	4	279	75	-7	+5	-5	-9	+40	2.4
/ 162G	—	MLE		—	650	606	148	27	9	11	27	162	6	28	11	244	283	373	656	129	313	25	4	279	75	-2	+2	-2	-3	+14	0.8

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.

2022 ROKFCL Red Sox · 25 PAwOBA .351 → .218 (−133)K% 20.0% → 28.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷1.000	×1.440	—	—	28.79%
BB% (unintentional) /PA	16.00%	÷1.080	×0.620	—	×0.940	8.64%
HBP% /PA	0.00%	—	×0.720	—	×0.940	0.00%
Singles /BIP	25.00%	÷1.010	×0.820	—	×0.940	19.07%
Doubles /BIP	12.50%	÷1.229	×0.720	—	×0.940	6.88%
Triples /BIP	0.00%	÷0.908	×0.720	—	×0.940	0.00%
Home runs /BIP	0.00%	÷0.943	×0.780	—	×0.940	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 102, 2B 146, 3B 82, K 100, BB 116 — applied at half strength. Age: age 32 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (12.5 yr older than average).

Result: wOBA .351 → .218; ISO .095 → .051; BABIP .375 → .260. 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 AAAWorcester Red Sox · 47 PAwOBA .408 → .312 (−96)K% 19.1% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.15%	÷1.021	×1.200	—	—	22.52%
BB% (unintentional) /PA	12.77%	÷1.008	×0.690	—	×0.962	8.41%
HBP% /PA	0.00%	—	×0.940	—	×0.962	0.00%
Singles /BIP	16.13%	÷0.974	×0.930	—	×0.962	14.82%
Doubles /BIP	16.13%	÷0.992	×0.830	—	×0.962	12.99%
Triples /BIP	0.00%	÷1.023	×0.920	—	×0.962	0.00%
Home runs /BIP	6.45%	÷1.318	×0.700	—	×0.962	3.30%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 164, 1B 95, 2B 98, 3B 105, K 104, BB 102 — 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).

Result: wOBA .408 → .312; ISO .275 → .186; BABIP .345 → .288. 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 AAPortland Sea Dogs · 18 PAwOBA .568 → .448 (−120)K% 22.2% → 26.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷1.025	×1.220	—	—	26.45%
BB% (unintentional) /PA	5.56%	÷1.078	×0.690	—	×0.940	3.34%
HBP% /PA	0.00%	—	×0.850	—	×0.940	0.00%
Singles /BIP	30.77%	÷1.047	×0.940	—	×0.940	25.96%
Doubles /BIP	0.00%	÷1.064	×0.870	—	×0.940	0.00%
Triples /BIP	0.00%	÷0.900	×0.920	—	×0.940	0.00%
Home runs /BIP	23.08%	÷0.900	×0.780	—	×0.940	18.80%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 80, 1B 109, 2B 113, 3B 80, K 105, BB 116 — applied at half strength. Age: age 31 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (6.2 yr older than average).

Result: wOBA .568 → .448; ISO .529 → .419; BABIP .400 → .320. 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 AAANashville Sounds · 40 PAwOBA .405 → .317 (−88)K% 25.0% → 31.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷1.015	×1.290	—	—	31.78%
BB% (unintentional) /PA	10.00%	÷0.988	×0.710	—	×0.982	7.05%
HBP% /PA	2.50%	—	×0.980	—	×0.982	2.41%
Singles /BIP	28.00%	÷1.007	×0.900	—	×0.982	24.57%
Doubles /BIP	16.00%	÷0.967	×0.810	—	×0.982	13.16%
Triples /BIP	4.00%	÷1.069	×0.810	—	×0.982	2.98%
Home runs /BIP	0.00%	÷0.998	×0.780	—	×0.982	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 100, 1B 101, 2B 93, 3B 114, K 103, BB 98 — 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 .405 → .317; ISO .171 → .128; BABIP .480 → .407. 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 AAAGwinnett Stripers · 342 PAwOBA .333 → .272 (−61)K% 23.4% → 29.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.39%	÷0.952	×1.200	—	—	29.49%
BB% (unintentional) /PA	4.39%	÷0.947	×0.690	—	×0.992	3.17%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	18.60%	÷1.010	×0.930	×0.991	×0.992	16.84%
Doubles /BIP	8.68%	÷0.995	×0.830	×0.991	×0.992	7.12%
Triples /BIP	1.24%	÷1.116	×0.970	×0.991	×0.992	1.06%
Home runs /BIP	6.61%	÷0.970	×0.840	—	×0.992	5.68%

Factors used: league row IL. Park (home-season share, regressed): HR 94, 1B 102, 2B 99, 3B 123, K 90, BB 89 — 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 ×0.991.

Result: wOBA .333 → .272; ISO .233 → .188; BABIP .301 → .262. 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 AAAGwinnett Braves · 19 PAwOBA .472 → .418 (−54)K% 15.8% → 19.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.79%	÷0.989	×1.200	—	—	19.16%
BB% (unintentional) /PA	5.26%	÷0.999	×0.690	—	×1.003	3.65%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	53.33%	÷1.005	×0.930	—	×1.003	49.52%
Doubles /BIP	6.67%	÷0.936	×0.830	—	×1.003	5.93%
Triples /BIP	0.00%	÷1.005	×0.970	—	×1.003	0.00%
Home runs /BIP	0.00%	÷0.972	×0.840	—	×1.003	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 94, 1B 101, 2B 87, 3B 101, K 98, BB 100 — 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 .472 → .418; ISO .056 → .048; BABIP .600 → .554. 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 AAARochester Red Wings · 162 PAwOBA .361 → .353 (−7)K% 15.4% → 18.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.43%	÷1.030	×1.200	—	—	17.98%
BB% (unintentional) /PA	4.32%	÷0.980	×0.690	—	×1.033	3.14%
HBP% /PA	0.00%	—	×0.940	—	×1.033	0.00%
Singles /BIP	25.20%	÷0.979	×0.930	×1.045	×1.033	25.85%
Doubles /BIP	7.87%	÷0.987	×0.830	×1.045	×1.033	7.15%
Triples /BIP	3.15%	÷0.932	×0.970	×1.045	×1.033	3.54%
Home runs /BIP	2.36%	÷0.956	×0.840	—	×1.033	2.14%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 96, 2B 97, 3B 86, K 106, BB 96 — 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 ×1.045.

Result: wOBA .361 → .353; ISO .178 → .174; BABIP .365 → .367. 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 AAARochester Red Wings · 105 PAwOBA .295 → .263 (−32)K% 26.7% → 31.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.67%	÷1.002	×1.200	—	—	31.94%
BB% (unintentional) /PA	5.71%	÷1.125	×0.690	—	×1.048	3.67%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	24.64%	÷1.010	×0.930	×1.014	×1.048	24.10%
Doubles /BIP	10.14%	÷1.059	×0.830	×1.014	×1.048	8.45%
Triples /BIP	2.90%	÷0.900	×0.970	×1.014	×1.048	3.32%
Home runs /BIP	0.00%	÷1.075	×0.840	—	×1.048	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 115, 1B 102, 2B 112, 3B 80, K 100, BB 125 — 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 ×1.014.

Result: wOBA .295 → .263; ISO .113 → .105; BABIP .377 → .359. 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 — .