Abraham Almonte

PosOF

B/TS/R

Born1989-06-27

Age (2027)38

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	34	AAA/A+/A/INTL2 orgs	242	.216/.367/.448	14	5	68	—	.171/.263/.330
2023	34	MLBNYM	16	.067/.125/.133	0	0	-27	-0.5
2024	35	INTLEstrellas Ori…	69	.111/.304/.167	1	2	54	—
2025	36	INTLEstrellas Ori…	35	.167/.429/.208	0	0	112	—
2026	37	No MLB games played

Last 3 seasons WAR -0.5

Contract

No contract data on file.

Skills · percentileStatcast 2021-2023

Avg EV51

Barrel%43

xwOBA40

Bat Spd37

Speed30

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)
2006	17	ROK	DSL Yankees 1	—	265	209	53	11	3	8	55	45	0	36	14	254	409	450	859	196	288	17	21	385	56	—	—	—	—	—	—
2007	18	ROK	GCL Yankees	—	185	160	46	4	3	3	21	34	1	8	9	287	374	406	780	119	347	18	11	347	55	—	—	—	—	—	—
2008	19	A	Charleston RiverDogs	—	495	443	101	20	7	8	47	101	1	29	10	228	303	359	662	131	278	20	9	297	49	—	—	—	—	—	—
2009	20	A	Charleston RiverDogs	—	484	440	123	14	10	5	35	81	2	36	5	280	335	391	726	111	331	17	7	321	77	—	—	—	—	—	—
2010	21	A+	Tampa Yankees	—	63	57	15	3	1	0	6	16	0	5	3	263	333	351	684	88	366	25	10	311	51	—	—	—	—	—	—
2011	22	A+	Tampa Yankees	—	598	537	144	27	11	4	52	100	2	30	11	268	335	382	717	114	320	17	9	319	82	—	—	—	—	—	—
2011	22	INTL	Leones del Escogido	—	42	39	6	0	0	0	2	6	0	2	2	154	195	154	349		182	14	5	163	-4	—	—	—	—	—	—
2012	23	AA	Trenton Thunder	—	359	319	88	17	4	4	37	59	0	30	5	276	351	392	743	116	327	16	10	333	94	—	—	—	—	—	—
2012	23	ROK	GCL Yankees	—	20	18	4	2	0	0	2	4	0	2	0	222	300	333	633	111	286	20	10	289	13	—	—	—	—	—	—
2012	23	INTL	Dominican Republic	—	114	102	22	3	2	0	10	24	0	8	2	216	286	284	570	69	282	21	9	258	61	—	—	—	—	—	—
2013	24	MLB	Seattle Mariners	—	82	72	19	4	0	2	6	21	0	1	0	264	321	403	723	139	333	26	7	308	97	-0	+0	-3	+2	+2	0.1
2013	24	AAA	Tacoma Rainiers	—	396	338	106	17	5	11	49	66	2	20	7	314	404	491	895	178	363	17	12	390	121	—	—	—	—	—	—
2013	24	AA	Jackson Generals	—	120	102	26	6	1	4	18	28	0	6	1	255	367	451	818	196	314	23	15	365	82	—	—	—	—	—	—
2013	24	INTL	Leones del Escogido	—	28	24	6	1	0	0	4	8	0	1	1	250	357	292	649	42	375	29	14	307	94	—	—	—	—	—	—
2014	25	MLB	San Diego Padres	—	220	204	47	10	1	3	12	60	1	4	3	230	276	333	610	103	310	27	5	271	73	-7	-0	+7	+2	+5	0.6
2014	25	AAA	Tacoma Rainiers	—	312	277	74	10	3	6	28	66	0	7	4	267	334	390	724	123	330	21	9	319	72	—	—	—	—	—	—
2014	25	INTL	Toros del Este	—	19	19	4	1	0	0	0	5	0	0	0	211	211	263	474	53	286	26	0	210	29	—	—	—	—	—	—
2015	26	MLB	Cleveland Indians	—	258	232	58	12	5	5	21	52	0	7	1	250	312	409	722	159	299	20	8	314	102	+1	+1	+1	+2	+6	1.0
2015	26	AAA	Columbus Clippers	—	291	252	69	18	3	4	34	48	0	11	4	274	360	417	777	143	325	16	12	343	87	—	—	—	—	—	—
2015	26	INTL	Toros del Este	—	81	73	18	2	0	1	7	10	0	1	2	247	312	315	628	68	274	12	9	285	79	—	—	—	—	—	—
2016	27	MLB	Cleveland Indians	—	194	182	48	20	1	1	8	42	1	8	0	264	298	401	700	137	331	22	4	305	90	-2	+2	+2	-3	+4	0.2
2016	27	AAA	Columbus Clippers	—	33	27	12	2	1	1	5	4	1	2	0	444	545	704	1.249	259	500	12	15	537	193	—	—	—	—	—	—
2016	27	INTL	Toros del Este	—	99	85	28	5	0	0	11	12	0	5	3	329	406	388	794	59	378	12	11	353	125	—	—	—	—	—	—
2017	28	MLB	Cleveland Indians	—	195	172	40	8	3	3	20	46	1	2	1	233	316	366	682	134	298	24	10	306	95	-1	+0	-1	-3	+4	-0.1
2017	28	AAA	Columbus Clippers	—	92	77	20	6	1	2	15	13	0	3	1	260	380	442	822	182	290	14	16	368	90	—	—	—	—	—	—
2018	29	MLB	Kansas City Royals	—	151	134	24	1	2	3	15	36	0	2	2	179	262	284	545	104	219	24	10	248	56	-8	-0	-3	+1	+3	-0.8
2018	29	INTL	Toros del Este	—	85	68	18	2	2	0	13	15	1	7	2	265	390	353	743	88	333	18	15	333	111	—	—	—	—	—	—
2019	30	MLB	Arizona Diamondbacks	—	38	31	9	3	1	1	7	8	0	0	0	290	421	548	969	258	364	21	18	422	161	+3	+0	-0	-5	+1	-0.1
2019	30	AAA	Reno Aces	—	382	319	86	33	4	17	60	70	0	12	3	270	385	558	943	288	294	18	16	406	82	—	—	—	—	—	—
2019	30	INTL	Dominican Republic	—	29	20	7	4	0	0	8	6	0	2	0	350	536	550	1.086	200	467	21	28	463	200	—	—	—	—	—	—
2020	31	INTL	Toros del Este	—	42	34	3	1	0	0	8	12	0	3	0	88	262	118	380	29	136	29	19	207	26	—	—	—	—	—	—
2021	32	MLB	Atlanta Braves	—	175	148	32	12	0	5	26	38	0	1	1	216	333	399	732	182	255	22	15	329	109	+2	-0	-4	-4	+4	-0.2
2021	32	AAA	Gwinnett Stripers	—	83	62	25	4	0	3	21	14	0	3	3	403	554	613	1.167	210	489	17	25	510	155	—	—	—	—	—	—
2021	32	INTL	Toros del Este	—	105	82	15	2	0	0	22	26	1	5	1	183	362	207	569	24	268	25	21	290	82	—	—	—	—	—	—
2022	33	MLB	Boston Red Sox	—	37	35	9	2	0	1	1	12	1	1	0	257	297	400	697	143	364	32	3	311	91	-0	+0	-1	+1	+1	0.1
2022	33	AAA	Worcester Red Sox	—	360	294	86	15	1	18	61	77	3	6	2	293	419	534	953	241	338	21	17	417	97	—	—	—	—	—	—
2023	34	MLB	New York Mets	—	16	15	1	1	0	0	1	8	0	0	0	67	125	133	258	67	143	50	6	124	-27	-2	+0	-0	-3	+0	-0.5
2023	34	AAA	Syracuse Mets	—	159	134	27	1	0	11	24	41	0	1	0	201	323	455	778	254	193	26	15	343	46	—	—	—	—	—	—
2023	34	A+	Brooklyn Cyclones	—	31	21	7	0	0	1	9	6	0	2	0	333	533	476	1.010	143	400	19	29	445	130	—	—	—	—	—	—
2023	34	A	St. Lucie Mets	—	18	13	3	1	0	1	5	6	0	0	0	231	444	538	983	308	333	33	28	431	66	—	—	—	—	—	—
2023	34	INTL	Leones del Escogido	—	34	26	5	1	0	1	8	6	0	2	0	192	382	346	729	154	211	18	24	343	118	—	—	—	—	—	—
2024	35	INTL	Estrellas Orientales	—	69	54	6	0	0	1	15	18	0	2	0	111	304	167	471	56	143	26	22	247	54	—	—	—	—	—	—
2025	36	INTL	Estrellas Orientales	—	35	24	4	1	0	0	11	10	0	0	0	167	429	208	637	42	286	29	31	334	112	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1366	1225	287	73	13	24	117	323	4	26	8	234	303	374	677	140	296	24	9	300	89	-18	+2	-4	-9	+30	0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2006	17	ROK MLE	DSL Yankees 1	—	265	226	36	7	2	4	38	55	0	36	14	159	280	261	541	102	189	21	14	251	56	—	—	—	—	—	—
2007	18	ROK MLE	GCL Yankees	—	185	168	35	3	2	2	13	49	1	8	9	208	269	286	555	77	276	26	7	250	55	—	—	—	—	—	—
2008	19	A MLE	Charleston RiverDogs	—	495	458	89	16	6	7	32	135	1	29	10	194	248	301	550	107	257	27	6	241	49	—	—	—	—	—	—
2009	20	A MLE	Charleston RiverDogs	—	484	451	116	12	10	4	24	108	2	36	5	257	298	355	652	98	322	22	5	282	77	—	—	—	—	—	—
2010	21	A+ MLE	Tampa Yankees	—	63	59	13	3	1	0	4	23	0	5	3	220	270	305	575	85	346	37	6	243	51	—	—	—	—	—	—
2011	22	A+ MLE	Tampa Yankees	—	598	549	137	27	9	4	40	138	2	30	11	250	303	353	656	104	320	23	7	289	82	—	—	—	—	—	—
2012	23	AA MLE	Trenton Thunder	—	359	330	90	15	5	3	26	73	0	30	5	273	326	376	702	103	336	20	7	307	94	—	—	—	—	—	—
2012	23	ROK MLE	GCL Yankees	—	20	19	2	1	0	0	1	6	0	2	0	105	150	158	308	53	212	30	5	187	13	—	—	—	—	—	—
2013	24	MLB MLE	Seattle Mariners	—	82	72	19	4	0	2	6	21	0	1	0	264	321	403	723	139	333	26	7	311	97	-0	+0	-3	+2	+2	0.1
2013	24	AAA MLE	Tacoma Rainiers	—	396	355	104	16	5	10	32	83	2	20	7	293	355	451	805	158	349	21	8	347	121	—	—	—	—	—	—
2013	24	AA MLE	Jackson Generals	—	120	109	24	6	1	3	11	34	0	6	1	220	292	376	668	156	286	28	9	290	82	—	—	—	—	—	—
2014	25	MLB MLE	San Diego Padres	—	220	204	48	11	1	3	12	60	1	4	3	235	281	343	624	108	310	27	5	276	73	-7	-0	+7	+2	+5	0.6
2014	25	AAA MLE	Tacoma Rainiers	—	312	285	69	9	3	5	20	84	0	7	4	242	292	347	639	105	314	27	6	274	72	—	—	—	—	—	—
2015	26	MLB MLE	Cleveland Indians	—	258	232	59	12	6	5	21	52	0	7	1	254	316	422	739	168	299	20	8	319	102	+1	+1	+1	+2	+6	1.0
2015	26	AAA MLE	Columbus Clippers	—	291	264	68	16	4	3	22	57	0	11	4	258	315	383	697	125	309	20	8	297	87	—	—	—	—	—	—
2016	27	MLB MLE	Cleveland Indians	—	194	183	48	20	1	1	7	42	1	8	0	262	293	399	692	137	331	22	4	301	90	-2	+2	+2	-3	+4	0.2
2016	27	AAA MLE	Columbus Clippers	—	33	29	12	2	1	1	3	5	1	2	0	414	485	655	1.140	241	450	15	9	454	193	—	—	—	—	—	—
2017	28	MLB MLE	Cleveland Indians	—	195	172	41	8	4	3	20	46	1	2	1	238	321	384	705	145	298	24	10	309	95	-1	+0	-1	-3	+4	-0.1
2017	28	AAA MLE	Columbus Clippers	—	92	85	19	5	1	1	7	16	0	3	1	224	283	341	624	118	268	17	8	301	90	—	—	—	—	—	—
2018	29	MLB MLE	Kansas City Royals	—	151	134	24	1	2	3	15	36	0	2	2	179	262	284	545	104	219	24	10	251	56	-8	-0	-3	+1	+3	-0.8
2019	30	MLB MLE	Arizona Diamondbacks	—	38	31	9	3	1	1	7	8	0	0	0	290	421	548	969	258	364	21	18	406	161	+3	+0	-0	-5	+1	-0.1
2019	30	AAA MLE	Reno Aces	—	382	338	65	24	3	12	41	93	0	12	3	192	280	388	667	195	220	24	11	289	82	—	—	—	—	—	—
2021	32	MLB MLE	Atlanta Braves	—	175	148	32	12	0	5	26	38	0	1	1	216	333	399	732	182	255	22	15	329	109	+2	-0	-4	-4	+4	-0.2
2021	32	AAA MLE	Gwinnett Stripers	—	83	69	22	3	0	2	14	17	0	3	3	319	434	449	883	130	409	20	17	397	155	—	—	—	—	—	—
2022	33	MLB MLE	Boston Red Sox	—	37	35	9	2	0	1	1	12	1	1	0	257	297	400	697	143	364	32	3	303	91	-0	+0	-1	+1	+1	0.1
2022	33	AAA MLE	Worcester Red Sox	—	360	315	71	10	1	13	40	91	3	6	2	225	318	387	706	162	272	25	11	312	97	—	—	—	—	—	—
2023	34	MLB MLE	New York Mets	—	16	15	1	1	0	0	1	8	0	0	0	67	125	133	258	67	143	50	6	129	-27	-2	+0	-0	-3	+0	-0.5
2023	34	AAA MLE	Syracuse Mets	—	159	143	21	1	0	7	15	51	0	1	0	147	228	301	529	154	155	32	9	236	46	—	—	—	—	—	—
2023	34	A+ MLE	Brooklyn Cyclones	—	31	25	7	0	0	1	5	8	0	2	0	280	400	400	800	120	335	26	16	361	130	—	—	—	—	—	—
2023	34	A MLE	St. Lucie Mets	—	18	15	3	1	0	1	3	9	0	0	0	200	333	467	800	267	251	50	17	266	66	—	—	—	—	—	—
2006	17	ROK MLE	DSL Yankees 1	—	265	226	36	7	2	4	38	55	0	36	14	159	280	261	541	102	192	21	14	251	56	—	—	—	—	—	—
2006	17	ROK RAW	DSL Yankees 1	—	265	209	53	11	3	8	55	45	0	36	14	254	409	450	859	196	288	17	21	385	56	—	—	—	—	—	—
2007	18	ROK MLE	GCL Yankees	—	185	168	35	3	2	2	13	49	1	8	9	208	269	286	555	77	280	26	7	250	55	—	—	—	—	—	—
2007	18	ROK RAW	GCL Yankees	—	185	160	46	4	3	3	21	34	1	8	9	287	374	406	780	119	347	18	11	347	55	—	—	—	—	—	—
2008	19	A MLE	Charleston RiverDogs	—	495	458	89	16	6	7	32	135	1	29	10	194	248	301	550	107	259	27	6	241	49	—	—	—	—	—	—
2008	19	A RAW	Charleston RiverDogs	—	495	443	101	20	7	8	47	101	1	29	10	228	303	359	662	131	278	20	9	297	49	—	—	—	—	—	—
2009	20	A MLE	Charleston RiverDogs	—	484	451	116	12	10	4	24	108	2	36	5	257	298	355	652	98	327	22	5	282	77	—	—	—	—	—	—
2009	20	A RAW	Charleston RiverDogs	—	484	440	123	14	10	5	35	81	2	36	5	280	335	391	726	111	331	17	7	321	77	—	—	—	—	—	—
2010	21	A+ MLE	Tampa Yankees	—	63	59	13	3	1	0	4	23	0	5	3	220	270	305	575	85	361	37	6	243	51	—	—	—	—	—	—
2010	21	A+ RAW	Tampa Yankees	—	63	57	15	3	1	0	6	16	0	5	3	263	333	351	684	88	366	25	10	311	51	—	—	—	—	—	—
2011	22	A+ MLE	2 teams	—	640	587	147	29	10	4	43	147	2	32	13	250	304	354	658	104	325	23	7	289	82	—	—	—	—	—	—
2011	22	A+ RAW	2 teams	—	640	576	150	27	11	4	54	106	2	32	13	260	326	366	692	106	311	17	8	309	82	—	—	—	—	—	—
2012	23	AA MLE	3 teams	—	493	452	120	21	6	4	36	102	0	40	7	265	320	365	685	100	334	21	7	301	90	—	—	—	—	—	—
2012	23	AA RAW	3 teams	—	493	439	114	22	6	4	49	87	0	40	7	260	334	364	698	105	315	18	10	314	90	—	—	—	—	—	—
2013	24	AAA MLE	4 teams	—	626	561	154	27	6	16	52	145	2	28	9	275	338	430	768	155	342	23	8	331	110	—	—	—	—	—	—
2013	24	AAA RAW	4 teams	—	626	536	157	28	6	17	77	123	2	28	9	293	384	463	846	170	351	20	12	371	110	—	—	—	—	—	—
2014	25	AAA MLE	3 teams	—	551	507	122	21	4	8	33	149	1	11	7	241	288	345	634	105	324	27	6	275	72	—	—	—	—	—	—
2014	25	AAA RAW	3 teams	—	551	500	125	21	4	9	40	131	1	11	7	250	307	362	669	112	320	24	7	296	72	—	—	—	—	—	—
2015	26	AAA MLE	3 teams	—	630	570	145	32	11	9	49	125	0	19	7	254	313	396	710	142	311	20	8	307	94	—	—	—	—	—	—
2015	26	AAA RAW	3 teams	—	630	557	145	32	8	10	62	110	0	19	7	260	334	400	735	140	308	17	10	324	94	—	—	—	—	—	—
2016	27	MLB MLE	3 teams	—	326	303	85	31	3	3	15	67	2	15	3	281	319	432	751	152	346	21	5	323	105	+2	+2	+2	-3	+7	0.9
2016	27	MLB RAW	3 teams	—	326	294	88	27	2	2	24	58	2	15	3	299	356	425	781	126	361	18	7	343	105	+2	+2	+2	-3	+7	0.9
2017	28	MLB MLE	2 teams	—	287	257	60	13	5	4	27	62	1	5	2	233	309	370	678	136	292	22	9	306	93	-2	+0	-1	-3	+6	0.1
2017	28	MLB RAW	2 teams	—	287	249	60	14	4	5	35	59	1	5	2	241	337	390	726	149	296	21	12	326	93	-2	+0	-1	-3	+6	0.1
2018	29	MLB MLE	2 teams	—	236	207	38	2	3	5	23	56	1	9	4	184	268	295	563	111	223	24	10	251	56	-12	+0	-3	+1	+5	-1.0
2018	29	MLB RAW	2 teams	—	236	202	42	3	4	3	28	51	1	9	4	208	307	307	614	99	260	22	12	279	56	-12	+0	-3	+1	+5	-1.0
2019	30	AAA MLE	3 teams	—	449	393	79	29	4	14	52	108	0	14	3	201	294	402	696	201	236	24	12	300	89	—	—	—	—	—	—
2019	30	AAA RAW	3 teams	—	449	370	102	40	5	18	75	84	0	14	3	276	398	557	955	281	309	19	17	411	89	—	—	—	—	—	—
2020	31	INTL MLE	Toros del Este	—	42	34	3	1	0	0	8	12	0	3	0	88	262	118	380	29	136	29	19	—	—	—	—	—	—	—	—
2020	31	INTL RAW	Toros del Este	—	42	34	3	1	0	0	8	12	0	3	0	88	262	118	380	29	136	29	19	207	26	—	—	—	—	—	—
2021	32	MLB MLE	3 teams	—	363	305	77	22	0	10	56	78	1	9	5	252	370	423	793	170	307	21	15	351	123	+10	-0	-4	-4	+8	1.0
2021	32	MLB RAW	3 teams	—	363	292	72	18	0	8	69	78	1	9	5	247	392	390	783	144	309	21	19	359	123	+10	-0	-4	-4	+8	1.0
2022	33	AAA MLE	2 teams	—	397	350	80	12	1	14	41	103	4	7	2	229	316	389	705	160	281	26	10	311	97	—	—	—	—	—	—
2022	33	AAA RAW	2 teams	—	397	329	95	17	1	19	62	89	4	7	2	289	408	520	927	231	341	22	16	407	97	—	—	—	—	—	—
2023	34	AAA MLE	5 teams	—	258	227	35	3	0	10	29	87	0	5	0	154	250	300	550	145	189	34	11	248	54	—	—	—	—	—	—
2023	34	AAA RAW	5 teams	—	258	209	43	4	0	14	47	67	0	5	0	206	352	426	777	220	223	26	18	348	54	—	—	—	—	—	—
2024	35	INTL MLE	Estrellas Orientales	—	69	54	6	0	0	1	15	18	0	2	0	111	304	167	471	56	143	26	22	—	—	—	—	—	—	—	—
2024	35	INTL RAW	Estrellas Orientales	—	69	54	6	0	0	1	15	18	0	2	0	111	304	167	471	56	143	26	22	247	54	—	—	—	—	—	—
2025	36	INTL MLE	Estrellas Orientales	—	35	24	4	1	0	0	11	10	0	0	0	167	429	208	637	42	286	29	31	—	—	—	—	—	—	—	—
2025	36	INTL RAW	Estrellas Orientales	—	35	24	4	1	0	0	11	10	0	0	0	167	429	208	637	42	286	29	31	334	112	—	—	—	—	—	—
2006	17	ROK MLE	DSL Yankees 1	—	265	225	36	7	2	4	38	55	0	36	14	160	280	262	543	102	189	21	14	251	56	—	—	—	—	—	—
2007	18	ROK MLE	GCL Yankees	—	185	169	35	3	2	2	13	49	1	8	9	207	269	284	553	77	276	26	7	250	55	—	—	—	—	—	—
2008	19	A MLE	Charleston RiverDogs	—	495	459	89	16	6	7	32	135	1	29	10	194	248	301	549	107	257	27	6	241	49	—	—	—	—	—	—
2009	20	A MLE	Charleston RiverDogs	—	484	455	116	12	10	4	24	108	2	36	5	255	298	352	649	97	322	22	5	282	77	—	—	—	—	—	—
2010	21	A+ MLE	Tampa Yankees	—	63	59	13	3	1	0	4	23	0	5	3	220	270	305	575	85	346	37	6	243	51	—	—	—	—	—	—
2011	22	A+ MLE	2 teams	—	640	590	147	29	10	4	43	147	2	32	13	249	304	353	656	103	320	23	7	289	82	—	—	—	—	—	—
2012	23	AA MLE	3 teams	—	493	454	120	21	6	4	36	102	0	40	7	264	320	363	683	99	329	21	7	301	90	—	—	—	—	—	—
2013	24	AAA MLE	4 teams	—	626	567	154	27	6	16	52	145	2	28	9	272	338	425	763	153	334	23	8	331	110	—	—	—	—	—	—
2014	25	AAA MLE	3 teams	—	551	512	122	21	4	8	33	149	1	11	7	238	288	342	630	104	312	27	6	275	72	—	—	—	—	—	—
2015	26	AAA MLE	3 teams	—	630	576	145	32	11	9	49	125	0	19	7	252	313	392	706	141	305	20	8	307	94	—	—	—	—	—	—
2016	27	MLB MLE	3 teams	—	326	306	85	31	3	3	15	67	2	15	3	278	319	428	747	150	348	21	5	323	105	—	—	—	—	—	—
2017	28	MLB MLE	2 teams	—	287	257	60	13	5	4	27	62	1	5	2	233	309	370	678	136	289	22	9	306	93	—	—	—	—	—	—
2018	29	MLB MLE	2 teams	—	236	210	38	2	3	5	23	56	1	9	4	181	268	290	559	110	219	24	10	251	56	—	—	—	—	—	—
2019	30	AAA MLE	3 teams	—	449	394	79	29	4	14	52	108	0	14	3	201	294	401	695	201	233	24	12	300	89	—	—	—	—	—	—
2021	32	MLB MLE	3 teams	—	363	303	77	22	0	10	56	78	1	9	5	254	370	426	796	172	304	21	15	351	123	—	—	—	—	—	—
2022	33	AAA MLE	2 teams	—	397	349	80	12	1	14	41	103	4	7	2	229	316	390	706	160	281	26	10	311	97	—	—	—	—	—	—
2023	34	AAA MLE	5 teams	—	258	227	35	3	0	10	29	87	0	5	0	154	250	300	550	145	187	34	11	248	54	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1366	1225	287	73	13	24	117	323	4	26	8	234	303	374	677	140	296	24	9	300	80	-18	+2	-4	-9	+30	0.1
/ 162G	—	A+C		—	650	583	136	35	6	11	56	154	2	12	4	233	303	370	673	137	296	24	9	300	80	-9	+1	-2	-4	+14	0.0
Career	—	MLE		—	6894	6193	1444	285	74	119	601	1639	18	313	103	233	303	361	664	128	297	24	9	286	80	-18	+2	-4	-9	+30	0.1
/ 162G	—	MLE		—	650	584	136	27	7	11	57	155	2	30	10	233	304	360	663	127	297	24	9	286	80	-9	+1	-2	-4	+14	0.0

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 AAASyracuse Mets · 159 PAwOBA .333 → .236 (−97)K% 25.8% → 32.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.79%	÷0.961	×1.200	—	—	32.21%
BB% (unintentional) /PA	14.47%	÷0.967	×0.690	—	×0.940	9.70%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	16.13%	÷0.997	×0.930	×0.963	×0.940	13.62%
Doubles /BIP	1.08%	÷0.933	×0.830	×0.963	×0.940	0.87%
Triples /BIP	0.00%	÷1.150	×0.970	×0.963	×0.940	0.00%
Home runs /BIP	11.83%	÷1.003	×0.700	—	×0.940	7.76%

Factors used: league row International League. Park (home-season share, regressed): HR 101, 1B 99, 2B 87, 3B 130, K 92, BB 93 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.963.

Result: wOBA .333 → .236; ISO .254 → .166; BABIP .193 → .155. 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).

2023 A+Brooklyn Cyclones · 31 PAwOBA .450 → .361 (−88)K% 19.4% → 24.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.35%	÷1.018	×1.310	—	—	24.91%
BB% (unintentional) /PA	29.03%	÷0.970	×0.600	—	×0.940	16.88%
HBP% /PA	0.00%	—	×0.770	—	×0.940	0.00%
Singles /BIP	40.00%	÷0.973	×0.870	—	×0.940	33.61%
Doubles /BIP	0.00%	÷1.058	×0.780	—	×0.940	0.00%
Triples /BIP	0.00%	÷1.150	×0.850	—	×0.940	0.00%
Home runs /BIP	6.67%	÷1.054	×0.880	—	×0.940	5.23%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 111, 1B 95, 2B 112, 3B 130, K 104, BB 94 — applied at half strength. Age: age 34 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (11.2 yr older than average).

Result: wOBA .450 → .361; ISO .143 → .135; BABIP .400 → .335. 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).

2023 ASt. Lucie Mets · 18 PAwOBA .421 → .266 (−155)K% 33.3% → 47.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷0.947	×1.360	—	—	47.88%
BB% (unintentional) /PA	27.78%	÷0.977	×0.690	—	×0.940	18.44%
HBP% /PA	0.00%	—	×0.780	—	×0.940	0.00%
Singles /BIP	14.29%	÷1.054	×0.920	—	×0.940	11.72%
Doubles /BIP	14.29%	÷0.987	×0.830	—	×0.940	11.29%
Triples /BIP	0.00%	÷1.150	×0.910	—	×0.940	0.00%
Home runs /BIP	14.29%	÷1.274	×0.800	—	×0.940	8.43%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 155, 1B 111, 2B 97, 3B 130, K 89, BB 95 — applied at half strength. Age: age 34 vs a level average of 22.0 → −6.0% on BB/HBP/hit rates (12.0 yr older than average).

Result: wOBA .421 → .266; ISO .308 → .171; BABIP .333 → .251. 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).

2022 AAAWorcester Red Sox · 360 PAwOBA .409 → .312 (−97)K% 21.4% → 25.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.39%	÷1.013	×1.200	—	—	25.34%
BB% (unintentional) /PA	16.94%	÷0.987	×0.690	—	×0.942	11.15%
HBP% /PA	0.83%	—	×0.940	—	×0.942	0.74%
Singles /BIP	23.96%	÷1.010	×0.930	×1.001	×0.942	20.80%
Doubles /BIP	6.91%	÷1.179	×0.830	×1.001	×0.942	4.59%
Triples /BIP	0.46%	÷1.000	×0.970	×1.001	×0.942	0.42%
Home runs /BIP	8.29%	÷0.939	×0.700	—	×0.942	5.82%

Factors used: league row International League. Park (home-season share, regressed): HR 88, 1B 102, 2B 136, 3B 100, K 103, BB 97 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.001.

Result: wOBA .409 → .312; ISO .241 → .176; BABIP .338 → .272. 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 AAAGwinnett Stripers · 83 PAwOBA .498 → .397 (−101)K% 16.9% → 20.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.87%	÷0.975	×1.200	—	—	20.75%
BB% (unintentional) /PA	25.30%	÷1.014	×0.690	—	×0.952	16.39%
HBP% /PA	0.00%	—	×0.940	—	×0.952	0.00%
Singles /BIP	37.50%	÷1.011	×0.930	—	×0.952	32.84%
Doubles /BIP	8.33%	÷1.039	×0.830	—	×0.952	6.34%
Triples /BIP	0.00%	÷1.150	×0.920	—	×0.952	0.00%
Home runs /BIP	6.25%	÷1.001	×0.700	—	×0.952	4.16%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 102, 2B 108, 3B 130, K 95, BB 103 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average).

Result: wOBA .498 → .397; ISO .210 → .158; BABIP .489 → .409. 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 AAAReno Aces · 382 PAwOBA .398 → .289 (−109)K% 18.3% → 24.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.32%	÷0.970	×1.290	—	—	24.38%
BB% (unintentional) /PA	15.45%	÷0.986	×0.710	—	×0.972	10.81%
HBP% /PA	0.00%	—	×0.980	—	×0.972	0.00%
Singles /BIP	12.85%	÷1.035	×0.900	×0.959	×0.972	10.41%
Doubles /BIP	13.25%	÷1.025	×0.810	×0.959	×0.972	9.76%
Triples /BIP	1.61%	÷1.150	×0.810	×0.959	×0.972	1.05%
Home runs /BIP	6.83%	÷1.077	×0.780	—	×0.972	4.81%

Factors used: league row PCL. Park (home-season share, regressed): HR 115, 1B 107, 2B 105, 3B 130, K 94, BB 97 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.959.

Result: wOBA .398 → .289; ISO .288 → .204; BABIP .294 → .220. 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 AAAColumbus Clippers · 92 PAwOBA .345 → .301 (−44)K% 14.1% → 17.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.13%	÷0.989	×1.200	—	—	17.14%
BB% (unintentional) /PA	11.96%	÷1.089	×0.690	—	×0.992	7.52%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	17.19%	÷0.945	×0.930	×1.009	×0.992	16.93%
Doubles /BIP	9.38%	÷1.018	×0.830	×1.009	×0.992	7.65%
Triples /BIP	1.56%	÷0.900	×0.970	×1.009	×0.992	1.69%
Home runs /BIP	3.12%	÷1.231	×0.840	—	×0.992	2.11%

Factors used: league row IL. Park (home-season share, regressed): HR 146, 1B 89, 2B 104, 3B 80, K 98, BB 118 — 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 ×1.009.

Result: wOBA .345 → .301; ISO .182 → .156; BABIP .290 → .268. 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 AAAColumbus Clippers · 33 PAwOBA .523 → .454 (−69)K% 12.1% → 15.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.12%	÷0.965	×1.200	—	—	15.07%
BB% (unintentional) /PA	15.15%	÷1.077	×0.690	—	×1.003	9.73%
HBP% /PA	3.03%	—	×0.940	—	×1.003	2.86%
Singles /BIP	34.78%	÷1.018	×0.930	—	×1.003	31.89%
Doubles /BIP	8.70%	÷1.043	×0.830	—	×1.003	6.94%
Triples /BIP	4.35%	÷0.901	×0.970	—	×1.003	4.70%
Home runs /BIP	4.35%	÷1.113	×0.840	—	×1.003	3.29%

Factors used: league row IL. Park (home-season share, regressed): HR 123, 1B 104, 2B 109, 3B 80, K 93, BB 115 — 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 .523 → .454; ISO .259 → .232; BABIP .500 → .450. 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 — .