Manny Piña

PosC

B/TR/R

Born1987-06-05

Age (2027)40

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	34	MLBMIL	208	.189/.295/.439	13	0	103	2.2
2022	35	MLBATL	17	.143/.250/.143	0	0	15	-0.1
2023	36	AAAOAK	38	.324/.395/.559	2	0	97	—	.229/.289/.343
2024	37	No MLB games played
2025	38	No MLB games played
2026	39	No MLB games played

Last 3 seasons WAR 2.1

Contract

No contract data on file.

Skills · percentileStatcast 2021-2023

xwOBA64

Barrel%60

Avg EV11

Speed10

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
2005	18	ROK	AZL Rangers	—	101	85	21	3	1	0	7	12	8	2	0	247	360	306	666	59	284	12	7	313	49	—	—	—	—	—	—
2006	19	ROK	AZL Rangers	—	50	45	11	4	0	0	2	4	2	0	0	244	306	333	639	89	262	8	4	287	36	—	—	—	—	—	—
2007	20	A	Clinton LumberKings	—	306	281	64	13	0	1	15	28	6	0	0	228	281	285	566	57	246	9	5	258	40	—	—	—	—	—	—
2008	21	AA	Frisco RoughRiders	—	89	80	22	7	0	0	5	12	2	1	0	275	333	362	696	87	319	13	6	309	77	—	—	—	—	—	—
2008	21	A+	Bakersfield Blaze	—	244	223	59	10	1	3	14	22	3	1	0	265	317	359	675	94	279	9	6	301	67	—	—	—	—	—	—
2009	22	AA	Frisco RoughRiders	—	355	321	83	17	1	8	19	58	8	1	0	259	316	393	709	134	290	16	5	312	70	—	—	—	—	—	—
2010	23	AAA	Omaha Royals	—	60	55	12	2	0	2	3	7	1	0	0	218	271	364	635	145	213	12	5	280	53	—	—	—	—	—	—
2010	23	AA	Northwest Arkansas Naturals	—	302	266	69	16	0	7	24	37	2	0	0	259	325	398	724	139	272	12	8	314	66	—	—	—	—	—	—
2010	23	INTL	Bravos de Margarita	—	16	14	1	0	0	0	1	3	0	0	0	71	133	71	205		83	19	6	100	-46	—	—	—	—	—	—
2011	24	MLB	Kansas City Royals	—	15	14	3	2	0	0	1	2	0	0	0	214	267	357	624	143	250	13	7	278	75	-0	+0	+1	+6	+0	0.7
2011	24	AAA	Omaha Storm Chasers	—	259	210	50	13	0	5	34	37	8	0	0	238	365	371	737	133	266	14	13	331	80	—	—	—	—	—	—
2011	24	INTL	Bravos de Margarita	—	48	39	5	1	0	1	8	11	0	0	0	128	277	231	507	103	148	23	17	243	51	—	—	—	—	—	—
2012	25	AA	Northwest Arkansas Naturals	—	162	131	34	3	0	5	24	24	5	0	0	260	394	397	791	137	279	15	15	359	85	—	—	—	—	—	—
2012	25	ROK	AZL Royals	—	21	13	6	2	0	0	6	2	1	0	0	462	650	615	1.265	154	500	10	29	529	174	—	—	—	—	—	—
2012	25	INTL	Bravos de Margarita	—	23	23	6	1	0	0	0	4	0	0	0	261	261	304	565	43	316	17	0	253	57	—	—	—	—	—	—
2013	26	AAA	Omaha Storm Chasers	—	111	99	24	5	0	2	6	10	1	1	0	242	292	354	646	111	247	9	5	278	47	—	—	—	—	—	—
2013	26	AA	Northwest Arkansas Naturals	—	214	199	44	13	0	5	11	30	2	0	1	221	269	362	631	141	236	14	5	279	38	—	—	—	—	—	—
2013	26	INTL	Bravos de Margarita	—	113	96	32	8	0	2	12	16	0	0	0	333	407	479	887	146	380	14	11	378	142	—	—	—	—	—	—
2014	27	AAA	Toledo Mud Hens	—	168	152	40	5	0	3	11	21	1	2	0	263	317	355	672	92	282	12	7	298	64	—	—	—	—	—	—
2014	27	AA	Jackson Generals	—	69	61	17	4	0	2	8	8	0	0	0	279	362	443	805	164	294	12	12	360	93	—	—	—	—	—	—
2014	27	INTL	Bravos de Margarita	—	164	148	40	13	1	5	12	31	2	0	0	270	333	473	806	203	310	19	7	351	124	—	—	—	—	—	—
2015	28	AAA	Toledo Mud Hens	—	292	256	78	19	0	7	24	34	8	2	0	305	382	461	843	156	327	12	8	372	93	—	—	—	—	—	—
2016	29	MLB	Milwaukee Brewers	—	81	71	18	4	0	2	10	15	0	0	1	254	346	394	740	141	296	19	12	335	115	+1	-0	+1	+8	+2	1.2
2016	29	AAA	Colorado Springs Sky Sox	—	262	237	78	21	3	5	17	39	1	1	1	329	376	506	883	177	371	15	6	378	84	—	—	—	—	—	—
2016	29	INTL	Cardenales de Lara	—	107	98	31	7	1	2	4	18	2	1	0	316	356	469	825	153	358	17	4	355	127	—	—	—	—	—	—
2017	30	MLB	Milwaukee Brewers	—	359	330	92	21	0	9	20	79	5	2	0	279	330	424	754	145	339	22	6	333	114	+6	+0	+7	+6	+8	2.8
2018	31	MLB	Milwaukee Brewers	—	337	306	77	13	2	9	21	62	5	2	0	252	310	395	706	144	285	18	6	311	94	-2	+0	+14	+6	+7	2.6
2019	32	MLB	Milwaukee Brewers	—	179	158	36	8	0	7	16	50	4	0	0	228	315	411	726	184	284	28	9	324	103	+1	+0	+11	+3	+4	2.0
2019	32	A	Wisconsin Timber Rattlers	—	15	13	3	0	0	0	1	4	1	0	0	231	333	231	564		333	27	7	277	28	—	—	—	—	—	—
2020	33	MLB	Milwaukee Brewers	—	45	39	9	1	0	2	3	11	3	0	0	231	333	410	744	179	269	24	7	337	113	+1	+0	+5	+1	+1	0.7
2021	34	MLB	Milwaukee Brewers	—	208	180	34	6	0	13	22	38	5	0	0	189	295	439	734	250	162	18	11	324	103	+1	+0	+13	+4	+5	2.2
2022	35	MLB	Atlanta Braves	—	17	14	2	0	0	0	1	1	1	0	0	143	250	143	393		143	6	6	191	15	-2	+0	-0	+0	+0	-0.1
2023	36	AAA	Las Vegas Aviators	—	38	34	11	2	0	2	3	5	1	0	0	324	395	559	954	235	333	13	8	418	97	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1241	1112	271	55	2	42	94	258	23	4	1	244	316	410	726	166	279	21	8	322	104	+6	+0	+52	+35	+27	12.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	18	ROK MLE	AZL Rangers	—	101	88	18	2	1	0	4	17	8	2	0	205	300	250	550	45	237	17	4	241	49	—	—	—	—	—	—
2006	19	ROK MLE	AZL Rangers	—	50	46	9	3	0	0	1	6	2	0	0	196	245	261	506	65	209	12	2	221	36	—	—	—	—	—	—
2007	20	A MLE	Clinton LumberKings	—	306	285	60	11	0	1	11	38	6	0	0	211	255	260	515	49	231	12	4	227	40	—	—	—	—	—	—
2008	21	AA MLE	Frisco RoughRiders	—	89	81	21	6	0	0	4	15	2	1	0	259	310	333	644	74	303	17	4	282	77	—	—	—	—	—	—
2008	21	A+ MLE	Bakersfield Blaze	—	244	227	56	9	1	3	10	30	3	1	0	247	287	335	622	88	259	12	4	267	67	—	—	—	—	—	—
2009	22	AA MLE	Frisco RoughRiders	—	355	327	77	15	1	7	13	71	8	1	0	235	282	352	633	116	267	20	4	271	70	—	—	—	—	—	—
2010	23	AAA MLE	Omaha Royals	—	60	56	12	2	0	2	2	9	1	0	0	214	254	357	611	143	201	15	3	246	53	—	—	—	—	—	—
2010	23	AA MLE	Northwest Arkansas Naturals	—	302	274	63	13	0	5	16	48	2	0	0	230	277	332	610	102	246	16	5	266	66	—	—	—	—	—	—
2011	24	MLB MLE	Kansas City Royals	—	15	14	3	2	0	0	1	2	0	0	0	214	267	357	624	143	250	13	7	279	75	-0	+0	+1	+6	+0	0.7
2011	24	AAA MLE	Omaha Storm Chasers	—	259	219	49	11	0	4	25	49	8	0	0	224	325	329	654	105	258	19	10	286	80	—	—	—	—	—	—
2012	25	AA MLE	Northwest Arkansas Naturals	—	162	137	30	3	0	4	18	30	5	0	0	219	331	328	660	109	238	19	11	294	85	—	—	—	—	—	—
2012	25	ROK MLE	AZL Royals	—	21	15	6	2	0	0	4	3	1	0	0	400	550	533	1.083	133	378	14	19	426	174	—	—	—	—	—	—
2013	26	AAA MLE	Omaha Storm Chasers	—	111	101	22	4	0	2	4	13	1	1	0	218	255	317	572	99	215	12	4	238	47	—	—	—	—	—	—
2013	26	AA MLE	Northwest Arkansas Naturals	—	214	203	37	11	0	4	7	38	2	0	1	182	217	296	513	113	204	18	3	224	38	—	—	—	—	—	—
2014	27	AAA MLE	Toledo Mud Hens	—	168	156	37	4	0	3	7	25	1	2	0	237	274	321	595	83	256	15	4	263	64	—	—	—	—	—	—
2014	27	AA MLE	Jackson Generals	—	69	64	17	4	0	2	5	10	0	0	0	266	319	422	741	156	278	14	7	306	93	—	—	—	—	—	—
2015	28	AAA MLE	Toledo Mud Hens	—	292	265	68	14	0	7	15	41	8	2	0	257	316	389	705	132	275	14	5	305	93	—	—	—	—	—	—
2016	29	MLB MLE	Milwaukee Brewers	—	81	71	18	4	0	2	10	15	0	0	1	254	346	394	740	141	296	19	12	338	115	+1	-0	+1	+8	+2	1.2
2016	29	AAA MLE	Colorado Springs Sky Sox	—	262	245	64	15	2	4	9	52	1	1	1	261	290	388	678	127	299	20	3	292	84	—	—	—	—	—	—
2017	30	MLB MLE	Milwaukee Brewers	—	359	330	93	22	0	9	20	79	5	2	0	282	332	430	763	148	339	22	6	336	114	+6	+0	+7	+6	+8	2.8
2018	31	MLB MLE	Milwaukee Brewers	—	337	309	78	14	2	9	18	62	5	2	0	252	304	398	702	146	285	18	5	307	94	-2	+0	+14	+6	+7	2.6
2019	32	MLB MLE	Milwaukee Brewers	—	179	159	37	9	0	7	15	50	4	0	0	233	315	421	736	189	284	28	8	320	103	+1	+0	+11	+3	+4	2.0
2019	32	A MLE	Wisconsin Timber Rattlers	—	15	13	2	0	0	0	1	5	1	0	0	154	267	154	421		299	33	7	209	28	—	—	—	—	—	—
2020	33	MLB MLE	Milwaukee Brewers	—	45	39	9	1	0	2	3	11	3	0	0	231	333	410	744	179	269	24	7	335	113	+1	+0	+5	+1	+1	0.7
2021	34	MLB MLE	Milwaukee Brewers	—	208	180	33	6	0	12	22	38	5	0	0	183	290	417	707	233	162	18	11	321	103	+1	+0	+13	+4	+5	2.2
2022	35	MLB MLE	Atlanta Braves	—	17	14	2	0	0	0	1	1	1	0	0	143	250	143	393		143	6	6	191	15	-2	+0	-0	+0	+0	-0.1
2023	36	AAA MLE	Las Vegas Aviators	—	38	35	8	1	0	1	2	6	1	0	0	229	289	343	632	114	273	16	5	312	97	—	—	—	—	—	—
2005	18	ROK MLE	AZL Rangers	—	101	88	18	2	1	0	4	17	8	2	0	205	300	250	550	45	250	17	4	241	49	—	—	—	—	—	—
2005	18	ROK RAW	AZL Rangers	—	101	85	21	3	1	0	7	12	8	2	0	247	360	306	666	59	284	12	7	313	49	—	—	—	—	—	—
2006	19	ROK MLE	AZL Rangers	—	50	46	9	3	0	0	1	6	2	0	0	196	245	261	506	65	220	12	2	221	36	—	—	—	—	—	—
2006	19	ROK RAW	AZL Rangers	—	50	45	11	4	0	0	2	4	2	0	0	244	306	333	639	89	262	8	4	287	36	—	—	—	—	—	—
2007	20	A MLE	Clinton LumberKings	—	306	285	60	11	0	1	11	38	6	0	0	211	255	260	515	49	236	12	4	227	40	—	—	—	—	—	—
2007	20	A RAW	Clinton LumberKings	—	306	281	64	13	0	1	15	28	6	0	0	228	281	285	566	57	246	9	5	258	40	—	—	—	—	—	—
2008	21	A+ MLE	2 teams	—	333	308	77	15	1	3	14	44	5	2	0	250	294	334	628	84	279	13	4	271	70	—	—	—	—	—	—
2008	21	A+ RAW	2 teams	—	333	303	81	17	1	3	19	34	5	2	0	267	321	360	681	92	289	10	6	303	70	—	—	—	—	—	—
2009	22	AA MLE	Frisco RoughRiders	—	355	327	77	15	1	7	13	71	8	1	0	235	282	352	633	116	277	20	4	271	70	—	—	—	—	—	—
2009	22	AA RAW	Frisco RoughRiders	—	355	321	83	17	1	8	19	58	8	1	0	259	316	393	709	134	290	16	5	312	70	—	—	—	—	—	—
2010	23	AA MLE	3 teams	—	378	344	78	16	0	7	19	60	3	0	0	227	273	334	608	108	249	16	5	263	64	—	—	—	—	—	—
2010	23	AA RAW	3 teams	—	378	335	82	18	0	9	28	47	3	0	0	245	309	379	688	134	254	12	7	300	64	—	—	—	—	—	—
2011	24	AAA MLE	3 teams	—	322	276	60	15	0	4	30	60	8	0	0	217	312	315	627	98	263	19	9	286	79	—	—	—	—	—	—
2011	24	AAA RAW	3 teams	—	322	263	58	16	0	6	43	50	8	0	0	221	347	350	697	129	250	16	13	315	79	—	—	—	—	—	—
2012	25	AA MLE	3 teams	—	206	173	39	5	0	4	24	37	6	0	0	225	340	324	664	98	259	18	12	309	95	—	—	—	—	—	—
2012	25	AA RAW	3 teams	—	206	167	46	6	0	5	30	30	6	0	0	275	404	401	805	126	304	15	15	365	95	—	—	—	—	—	—
2013	26	AA MLE	3 teams	—	438	407	80	21	0	8	16	69	3	1	1	197	232	307	540	111	216	16	4	229	41	—	—	—	—	—	—
2013	26	AA RAW	3 teams	—	438	394	100	26	0	9	29	56	3	1	1	254	310	388	698	135	273	13	7	305	41	—	—	—	—	—	—
2014	27	AAA MLE	3 teams	—	401	371	91	14	0	8	21	59	3	2	0	245	291	348	639	102	269	15	5	276	73	—	—	—	—	—	—
2014	27	AAA RAW	3 teams	—	401	361	97	22	1	10	31	60	3	2	0	269	332	418	750	150	295	15	8	330	73	—	—	—	—	—	—
2015	28	AAA MLE	Toledo Mud Hens	—	292	265	68	14	0	7	15	41	8	2	0	257	316	389	705	132	279	14	5	305	93	—	—	—	—	—	—
2015	28	AAA RAW	Toledo Mud Hens	—	292	256	78	19	0	7	24	34	8	2	0	305	382	461	843	156	327	12	8	372	93	—	—	—	—	—	—
2016	29	AAA MLE	3 teams	—	450	412	108	25	3	8	25	88	3	2	2	262	309	396	705	133	310	20	6	303	91	—	—	—	—	—	—
2016	29	AAA RAW	3 teams	—	450	406	127	32	4	9	31	72	3	2	2	313	366	478	844	165	355	16	7	365	91	—	—	—	—	—	—
2017	30	MLB MLE	Milwaukee Brewers	—	359	330	93	22	0	9	20	79	5	2	0	282	332	430	763	148	343	22	6	336	114	+6	+0	+7	+6	+8	2.8
2017	30	MLB RAW	Milwaukee Brewers	—	359	330	92	21	0	9	20	79	5	2	0	279	330	424	754	145	339	22	6	333	114	+6	+0	+7	+6	+8	2.8
2018	31	MLB MLE	Milwaukee Brewers	—	337	309	78	14	2	9	18	62	5	2	0	252	304	398	702	146	285	18	5	307	94	-2	+0	+14	+6	+7	2.6
2018	31	MLB RAW	Milwaukee Brewers	—	337	306	77	13	2	9	21	62	5	2	0	252	310	395	706	144	285	18	6	311	94	-2	+0	+14	+6	+7	2.6
2019	32	MLB MLE	2 teams	—	194	172	40	9	0	7	16	55	5	0	0	233	316	407	723	174	297	28	8	312	97	-1	+0	+11	+3	+4	1.9
2019	32	MLB RAW	2 teams	—	194	171	39	8	0	7	17	54	5	0	0	228	316	398	714	170	288	28	9	320	97	-1	+0	+11	+3	+4	1.9
2020	33	MLB MLE	Milwaukee Brewers	—	45	39	9	1	0	2	3	11	3	0	0	231	333	410	744	179	269	24	7	335	113	+1	+0	+5	+1	+1	0.7
2020	33	MLB RAW	Milwaukee Brewers	—	45	39	9	1	0	2	3	11	3	0	0	231	333	410	744	179	269	24	7	337	113	+1	+0	+5	+1	+1	0.7
2021	34	MLB MLE	Milwaukee Brewers	—	208	180	33	6	0	12	22	38	5	0	0	183	290	417	707	233	160	18	11	321	103	+1	+0	+13	+4	+5	2.2
2021	34	MLB RAW	Milwaukee Brewers	—	208	180	34	6	0	13	22	38	5	0	0	189	295	439	734	250	162	18	11	324	103	+1	+0	+13	+4	+5	2.2
2022	35	MLB MLE	Atlanta Braves	—	17	14	2	0	0	0	1	1	1	0	0	143	250	143	393		143	6	6	191	15	-2	+0	-0	+0	+0	-0.1
2022	35	MLB RAW	Atlanta Braves	—	17	14	2	0	0	0	1	1	1	0	0	143	250	143	393		143	6	6	191	15	-2	+0	-0	+0	+0	-0.1
2023	36	AAA MLE	Las Vegas Aviators	—	38	35	8	1	0	1	2	6	1	0	0	229	289	343	632	114	250	16	5	312	97	—	—	—	—	—	—
2023	36	AAA RAW	Las Vegas Aviators	—	38	34	11	2	0	2	3	5	1	0	0	324	395	559	954	235	333	13	8	418	97	—	—	—	—	—	—
2005	18	ROK MLE	AZL Rangers	—	101	88	18	2	1	0	4	17	8	2	0	205	300	250	550	45	237	17	4	241	49	—	—	—	—	—	—
2006	19	ROK MLE	AZL Rangers	—	50	47	9	3	0	0	1	6	2	0	0	191	245	255	500	64	209	12	2	221	36	—	—	—	—	—	—
2007	20	A MLE	Clinton LumberKings	—	306	286	60	11	0	1	11	38	6	0	0	210	255	259	514	49	231	12	4	227	40	—	—	—	—	—	—
2008	21	A+ MLE	2 teams	—	333	311	77	15	1	3	14	44	5	2	0	248	294	331	625	84	271	13	4	271	70	—	—	—	—	—	—
2009	22	AA MLE	Frisco RoughRiders	—	355	331	77	15	1	7	13	71	8	1	0	233	282	347	629	115	267	20	4	271	70	—	—	—	—	—	—
2010	23	AA MLE	3 teams	—	378	353	78	16	0	7	19	60	3	0	0	221	273	326	599	105	239	16	5	263	64	—	—	—	—	—	—
2011	24	AAA MLE	3 teams	—	322	281	60	15	0	4	30	60	8	0	0	214	312	310	622	96	258	19	9	286	79	—	—	—	—	—	—
2012	25	AA MLE	3 teams	—	206	174	39	5	0	4	24	37	6	0	0	224	340	322	662	98	254	18	12	309	95	—	—	—	—	—	—
2013	26	AA MLE	3 teams	—	438	416	80	21	0	8	16	69	3	1	1	192	232	300	533	108	208	16	4	229	41	—	—	—	—	—	—
2014	27	AAA MLE	3 teams	—	401	374	91	14	0	8	21	59	3	2	0	243	291	345	636	102	262	15	5	276	73	—	—	—	—	—	—
2015	28	AAA MLE	Toledo Mud Hens	—	292	267	68	14	0	7	15	41	8	2	0	255	316	386	702	131	275	14	5	305	93	—	—	—	—	—	—
2016	29	AAA MLE	3 teams	—	450	419	108	25	3	8	25	88	3	2	2	258	309	389	698	131	298	20	6	303	91	—	—	—	—	—	—
2017	30	MLB MLE	Milwaukee Brewers	—	359	331	93	22	0	9	20	79	5	2	0	281	332	429	761	148	339	22	6	336	114	—	—	—	—	—	—
2018	31	MLB MLE	Milwaukee Brewers	—	337	311	78	14	2	9	18	62	5	2	0	251	304	395	700	145	285	18	5	307	94	—	—	—	—	—	—
2019	32	MLB MLE	2 teams	—	194	171	40	9	0	7	16	55	5	0	0	234	316	409	725	175	285	28	8	312	97	—	—	—	—	—	—
2020	33	MLB MLE	Milwaukee Brewers	—	45	39	9	1	0	2	3	11	3	0	0	231	333	410	744	179	269	24	7	335	113	—	—	—	—	—	—
2021	34	MLB MLE	Milwaukee Brewers	—	208	179	33	6	0	12	22	38	5	0	0	184	290	419	709	235	162	18	11	321	103	—	—	—	—	—	—
2022	35	MLB MLE	Atlanta Braves	—	17	15	2	0	0	0	1	1	1	0	0	133	250	133	383		143	6	6	191	15	—	—	—	—	—	—
2023	36	AAA MLE	Las Vegas Aviators	—	38	35	8	1	0	1	2	6	1	0	0	229	289	343	632	114	273	16	5	312	97	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1241	1112	271	55	2	42	94	258	23	4	1	244	316	410	726	166	279	21	8	322	77	+6	+0	+52	+35	+27	12.3
/ 162G	—	A+C		—	650	582	142	29	1	22	49	135	12	2	1	244	315	411	726	167	279	21	8	322	77	+3	+0	+27	+18	+14	6.4
Career	—	MLE		—	4830	4381	1028	209	8	97	275	842	88	16	3	235	293	352	646	118	266	17	6	282	77	+6	+0	+52	+35	+27	12.3
/ 162G	—	MLE		—	650	590	138	28	1	13	37	113	12	2	0	234	293	351	643	117	265	17	6	282	77	+3	+0	+27	+18	+14	6.4

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 AAALas Vegas Aviators · 38 PAwOBA .407 → .312 (−95)K% 13.2% → 15.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.16%	÷1.017	×1.200	—	—	15.52%
BB% (unintentional) /PA	7.89%	÷1.055	×0.690	—	×0.940	4.86%
HBP% /PA	2.63%	—	×0.940	—	×0.940	2.33%
Singles /BIP	24.14%	÷0.993	×0.930	—	×0.940	21.25%
Doubles /BIP	6.90%	÷1.124	×0.830	—	×0.940	4.79%
Triples /BIP	0.00%	÷1.133	×0.970	—	×0.940	0.00%
Home runs /BIP	6.90%	÷0.996	×0.700	—	×0.940	4.56%

Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 99, 2B 125, 3B 127, K 103, BB 111 — applied at half strength. Age: age 36 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (8.8 yr older than average).

Result: wOBA .407 → .312; ISO .235 → .159; BABIP .333 → .273. 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 AWisconsin Timber Rattlers · 15 PAwOBA .270 → .209 (−61)K% 26.7% → 36.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.67%	÷0.994	×1.360	—	—	36.50%
BB% (unintentional) /PA	6.67%	÷0.953	×0.690	—	×0.940	4.54%
HBP% /PA	6.67%	—	×0.780	—	×0.940	4.89%
Singles /BIP	33.33%	÷0.963	×0.920	—	×0.940	29.95%
Doubles /BIP	0.00%	÷1.136	×0.830	—	×0.940	0.00%
Triples /BIP	0.00%	÷1.150	×0.910	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.022	×0.800	—	×0.940	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 104, 1B 92, 2B 127, 3B 130, K 99, BB 91 — applied at half strength. Age: age 32 vs a level average of 22.0 → −6.0% on BB/HBP/hit rates (10.0 yr older than average).

Result: wOBA .270 → .209; ISO .000 → .000; BABIP .333 → .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).

2016 AAAColorado Springs Sky Sox · 262 PAwOBA .370 → .292 (−78)K% 14.9% → 19.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.89%	÷0.964	×1.290	—	—	19.92%
BB% (unintentional) /PA	5.34%	÷1.052	×0.710	—	×0.982	3.54%
HBP% /PA	0.38%	—	×0.980	—	×0.982	0.37%
Singles /BIP	24.75%	÷1.046	×0.900	×1.032	×0.982	21.58%
Doubles /BIP	10.61%	÷1.196	×0.810	×1.032	×0.982	7.28%
Triples /BIP	1.52%	÷1.150	×0.810	×1.032	×0.982	1.08%
Home runs /BIP	2.53%	÷0.973	×0.780	—	×0.982	1.99%

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 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 ×1.032.

Result: wOBA .370 → .292; ISO .177 → .130; BABIP .371 → .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).

2015 AAAToledo Mud Hens · 292 PAwOBA .365 → .305 (−60)K% 11.6% → 14.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.64%	÷1.000	×1.200	—	—	13.98%
BB% (unintentional) /PA	8.22%	÷1.085	×0.690	—	×0.992	5.19%
HBP% /PA	2.74%	—	×0.940	—	×0.992	2.55%
Singles /BIP	23.42%	÷0.988	×0.930	×0.950	×0.992	20.77%
Doubles /BIP	8.56%	÷1.083	×0.830	×0.950	×0.992	6.18%
Triples /BIP	0.00%	÷1.150	×0.970	×0.950	×0.992	0.00%
Home runs /BIP	3.15%	÷0.911	×0.840	—	×0.992	2.88%

Factors used: league row IL. Park (home-season share, regressed): HR 82, 1B 98, 2B 117, 3B 130, K 100, BB 117 — 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 .365 → .305; ISO .156 → .132; BABIP .327 → .275. 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 AAAToledo Mud Hens · 168 PAwOBA .295 → .263 (−32)K% 12.5% → 14.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.50%	÷1.017	×1.200	—	—	14.75%
BB% (unintentional) /PA	6.55%	÷1.053	×0.690	—	×1.003	4.30%
HBP% /PA	0.60%	—	×0.940	—	×1.003	0.56%
Singles /BIP	24.43%	÷0.999	×0.930	×0.988	×1.003	22.53%
Doubles /BIP	3.82%	÷1.031	×0.830	×0.988	×1.003	3.04%
Triples /BIP	0.00%	÷1.049	×0.970	×0.988	×1.003	0.00%
Home runs /BIP	2.29%	÷0.899	×0.840	—	×1.003	2.15%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 100, 2B 106, 3B 110, K 103, BB 111 — 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 ×0.988.

Result: wOBA .295 → .263; ISO .092 → .084; BABIP .282 → .256. 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 AAJackson Generals · 69 PAwOBA .351 → .306 (−45)K% 11.6% → 14.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.59%	÷0.968	×1.220	—	—	14.61%
BB% (unintentional) /PA	11.59%	÷1.083	×0.680	—	×0.978	7.12%
HBP% /PA	0.00%	—	×0.840	—	×0.978	0.00%
Singles /BIP	20.75%	÷1.003	×0.920	×1.050	×0.978	19.55%
Doubles /BIP	7.55%	÷0.955	×0.910	×1.050	×0.978	7.39%
Triples /BIP	0.00%	÷0.975	×0.880	×1.050	×0.978	0.00%
Home runs /BIP	3.77%	÷0.930	×0.800	—	×0.978	3.18%

Factors used: league row SL. Park (home-season share, regressed): HR 86, 1B 101, 2B 91, 3B 95, K 94, BB 117 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .351 → .306; ISO .164 → .150; BABIP .294 → .278. 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).

2013 AANorthwest Arkansas Naturals · 214 PAwOBA .273 → .224 (−49)K% 14.0% → 17.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.02%	÷0.972	×1.220	—	—	17.60%
BB% (unintentional) /PA	5.14%	÷1.028	×0.700	—	×0.988	3.46%
HBP% /PA	0.93%	—	×0.870	—	×0.988	0.80%
Singles /BIP	15.38%	÷1.018	×0.920	×0.979	×0.988	13.45%
Doubles /BIP	7.69%	÷0.956	×0.840	×0.979	×0.988	6.54%
Triples /BIP	0.00%	÷0.996	×0.940	×0.979	×0.988	0.00%
Home runs /BIP	2.96%	÷0.980	×0.800	—	×0.988	2.39%

Factors used: league row TL. Park (home-season share, regressed): HR 96, 1B 104, 2B 91, 3B 99, K 94, BB 106 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.979.

Result: wOBA .273 → .224; ISO .141 → .115; BABIP .236 → .204. 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).

2013 AAAOmaha Storm Chasers · 111 PAwOBA .276 → .238 (−38)K% 9.0% → 12.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.01%	÷0.958	×1.290	—	—	12.13%
BB% (unintentional) /PA	5.41%	÷1.032	×0.710	—	×1.018	3.79%
HBP% /PA	0.90%	—	×0.980	—	×1.018	0.90%
Singles /BIP	19.10%	÷1.007	×0.900	×0.974	×1.018	16.93%
Doubles /BIP	5.62%	÷0.973	×0.810	×0.974	×1.018	4.64%
Triples /BIP	0.00%	÷0.906	×0.810	×0.974	×1.018	0.00%
Home runs /BIP	2.25%	÷1.024	×0.780	—	×1.018	1.74%

Factors used: league row PCL. Park (home-season share, regressed): HR 105, 1B 101, 2B 95, 3B 81, K 92, BB 106 — 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 ×0.974.

Result: wOBA .276 → .238; ISO .111 → .092; BABIP .247 → .215. 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 — .