Ehire Adrianza

PosSS

B/TS/R

Born1989-08-21

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2024

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2022	32	AAA/AA/INTL3 orgs	146	.270/.408/.365	2	3	104	—	.307/.371/.482
2022	32	MLBATL	110	.175/.266/.206	0	1	40	-0.6
2023	33	AAA/A+/INTL3 orgs	143	.205/.321/.368	3	2	76	—	.204/.247/.284
2024	34	AAALAA	53	.349/.451/.558	1	2	123	—	.289/.373/.467
2024	34	MLBLAA	28	.192/.250/.346	1	0	67	0.1
2025	35	No MLB games played
2026	36	No MLB games played

Last 3 seasons WAR -0.5

Contract

No contract data on file.

Skills · percentileMiLB Statcast 2024 AAA

Speed97

BB%87

Chase%84

K%80

Whiff%62

Z-Con%33

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	16	ROK	DSL Giants	—	155	122	19	2	1	0	24	31	4	3	2	156	313	189	502	33	207	20	15	247	8	—	—	—	—	—	—
2007	17	ROK	DSL Giants	—	302	249	60	17	2	0	41	31	4	23	6	241	357	325	682	84	269	10	14	310	30	—	—	—	—	—	—
2008	18	ROK	AZL Giants	—	63	55	14	4	0	1	7	4	1	0	1	255	349	382	731	127	260	6	11	333	47	—	—	—	—	—	—
2009	19	A	Augusta GreenJackets	—	448	388	100	15	3	2	42	66	5	7	1	258	338	327	665	70	300	15	9	298	61	—	—	—	—	—	—
2010	20	A+	San Jose Giants	—	508	445	114	22	5	3	47	87	5	33	15	256	334	348	682	92	312	17	9	305	64	—	—	—	—	—	—
2011	21	A+	San Jose Giants	—	262	230	69	24	3	3	23	46	6	5	1	300	378	470	848	170	361	18	9	373	95	—	—	—	—	—	—
2011	21	A	Augusta GreenJackets	—	168	143	33	10	1	3	18	32	0	3	2	231	317	378	694	147	275	19	11	300	51	—	—	—	—	—	—
2011	21	INTL	Tiburones de La Guaira	—	89	77	18	3	1	1	6	12	0	0	0	234	289	338	627	104	258	13	7	264	65	—	—	—	—	—	—
2012	22	AA	Richmond Flying Squirrels	—	512	451	99	22	5	3	41	90	4	16	4	220	290	310	601	91	266	18	8	267	50	—	—	—	—	—	—
2012	22	INTL	Tiburones de La Guaira	—	104	87	24	6	2	0	12	20	3	0	0	276	382	391	773	115	353	19	12	346	120	—	—	—	—	—	—
2013	23	MLB	San Francisco Giants	—	20	18	4	1	0	1	1	5	0	0	0	222	263	444	708	222	250	25	5	294	91	-0	+0	+1	+6	+0	0.7
2013	23	AAA	Fresno Grizzlies	—	177	145	45	7	6	0	23	31	2	6	2	310	412	441	853	131	391	18	13	368	109	—	—	—	—	—	—
2013	23	AA	Richmond Flying Squirrels	—	291	249	59	12	0	2	32	45	4	11	6	237	333	309	643	72	279	15	11	294	62	—	—	—	—	—	—
2013	23	INTL	Tiburones de La Guaira	—	34	28	5	2	0	0	5	7	0	0	2	179	303	250	553	71	238	21	15	258	61	—	—	—	—	—	—
2014	24	MLB	San Francisco Giants	—	106	97	23	6	0	0	5	22	1	1	1	237	282	299	581	62	303	21	5	258	57	-5	-0	+1	+1	+2	-0.1
2014	24	AAA	Fresno Grizzlies	—	22	19	6	0	0	1	2	4	0	0	0	316	381	474	855	158	357	18	9	364	95	—	—	—	—	—	—
2014	24	INTL	Venezuela	—	139	123	39	9	1	3	11	23	2	1	1	317	382	480	862	163	367	17	8	375	140	—	—	—	—	—	—
2015	25	MLB	San Francisco Giants	—	134	113	21	7	1	0	15	20	4	3	2	186	303	265	569	80	226	15	11	267	68	-5	-0	+3	+4	+3	0.4
2015	25	AAA	Sacramento River Cats	—	195	171	54	6	1	3	17	37	2	6	1	316	384	415	799	99	389	19	9	352	85	—	—	—	—	—	—
2016	26	MLB	San Francisco Giants	—	71	63	16	2	0	2	2	13	2	0	1	254	299	381	679	127	292	18	3	288	86	-1	-0	-2	+2	+2	-0.0
2016	26	AAA	Sacramento River Cats	—	37	35	9	2	0	1	2	4	0	1	3	257	297	400	697	143	267	11	5	310	57	—	—	—	—	—	—
2016	26	A+	San Jose Giants	—	36	33	11	3	0	5	2	4	0	0	0	333	371	879	1.250	545	240	11	6	510	174	—	—	—	—	—	—
2016	26	INTL	Caribes de Anzoategui	—	34	29	6	1	0	1	4	4	0	0	0	207	303	345	648	138	200	12	12	288	81	—	—	—	—	—	—
2017	27	MLB	Minnesota Twins	—	186	162	43	9	2	2	16	25	1	8	1	265	335	383	718	117	291	13	9	312	95	-1	+1	+2	+3	+4	0.9
2017	27	AAA	Rochester Red Wings	—	44	37	8	0	0	0	6	11	0	0	1	216	326	216	542		308	25	14	260	28	—	—	—	—	—	—
2017	27	A+	Fort Myers Miracle	—	15	15	6	2	0	0	0	0	0	1	0	400	400	533	933	133	400	0	0	413	114	—	—	—	—	—	—
2018	28	MLB	Minnesota Twins	—	366	335	84	23	1	6	24	82	1	5	1	251	303	379	682	128	313	22	7	300	87	-6	+1	+6	+4	+8	1.3
2019	29	MLB	Minnesota Twins	—	236	202	55	8	3	5	20	40	6	0	2	272	352	416	768	144	311	17	8	336	111	+3	-1	-2	+3	+5	0.8
2020	30	MLB	Minnesota Twins	—	101	89	17	7	0	0	11	23	1	1	0	191	287	270	557	79	258	23	11	262	63	-4	+0	+3	+0	+2	0.1
2021	31	MLB	Atlanta Braves	—	209	182	45	9	2	5	21	42	2	0	0	247	332	401	733	154	290	20	10	323	105	+1	+0	+0	-2	+5	0.4
2022	32	MLB	Atlanta Braves	—	110	97	17	3	0	0	11	25	1	1	0	175	266	206	472	31	233	23	10	227	40	-8	+0	-2	+1	+2	-0.6
2022	32	AAA	Gwinnett Stripers	—	32	28	8	1	0	1	2	7	1	1	0	286	355	429	783	143	350	22	6	341	68	—	—	—	—	—	—
2022	32	AA	Harrisburg Senators	—	20	16	7	1	0	1	3	3	1	0	0	438	550	688	1.238	250	500	15	15	536	182	—	—	—	—	—	—
2022	32	INTL	Tiburones de La Guaira	—	94	71	16	3	0	0	19	11	1	2	0	225	396	268	663	42	262	12	20	315	99	—	—	—	—	—	—
2023	33	AAA	Gwinnett Stripers	—	30	28	4	2	0	0	2	3	0	0	0	143	200	214	414	71	160	10	7	192	-10	—	—	—	—	—	—
2023	33	A+	Rome Braves	—	24	19	6	2	0	0	4	2	0	1	0	316	435	421	856	105	333	8	17	374	88	—	—	—	—	—	—
2023	33	INTL	Venezuela	—	89	70	14	4	1	3	13	14	1	1	1	200	333	414	748	214	200	16	15	317	101	—	—	—	—	—	—
2024	34	MLB	Los Angeles Angels	—	28	26	5	1	0	1	2	11	0	0	0	192	250	346	596	154	286	39	7	267	67	-1	+0	+1	+0	+1	0.1
2024	34	AAA	Salt Lake Bees	—	53	43	15	2	2	1	8	9	0	2	0	349	451	558	1.009	209	400	17	15	425	123	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1567	1384	330	76	9	22	128	308	19	19	8	238	311	354	665	116	288	20	8	295	86	-26	+1	+11	+20	+34	4.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2006	16	ROK MLE	DSL Giants	—	155	129	14	1	1	0	17	38	4	3	2	109	233	132	365	23	148	25	11	180	8	—	—	—	—	—	—
2007	17	ROK MLE	DSL Giants	—	302	262	41	11	1	0	28	38	4	23	6	156	248	206	454	50	174	13	9	212	30	—	—	—	—	—	—
2008	18	ROK MLE	AZL Giants	—	63	58	11	3	0	1	4	6	1	0	1	190	254	293	547	103	196	10	6	238	47	—	—	—	—	—	—
2009	19	A MLE	Augusta GreenJackets	—	448	401	95	13	3	2	29	88	5	7	1	237	297	299	596	62	278	20	6	259	61	—	—	—	—	—	—
2010	20	A+ MLE	San Jose Giants	—	508	457	107	20	4	3	35	120	5	33	15	234	296	315	611	81	298	24	7	263	64	—	—	—	—	—	—
2011	21	A+ MLE	San Jose Giants	—	262	235	59	20	2	3	18	63	6	5	1	251	320	391	712	140	322	24	7	308	95	—	—	—	—	—	—
2011	21	A MLE	Augusta GreenJackets	—	168	149	29	9	1	3	12	42	0	3	2	195	255	329	584	134	232	25	7	244	51	—	—	—	—	—	—
2012	22	AA MLE	Richmond Flying Squirrels	—	512	462	98	21	5	2	30	111	4	16	4	212	266	292	558	80	259	22	6	242	50	—	—	—	—	—	—
2013	23	MLB MLE	San Francisco Giants	—	20	18	4	1	0	1	1	5	0	0	0	222	263	444	708	222	250	25	5	303	91	-0	+0	+1	+6	+0	0.7
2013	23	AAA MLE	Fresno Grizzlies	—	177	150	42	6	5	0	18	40	2	6	2	280	365	387	751	107	364	23	10	329	109	—	—	—	—	—	—
2013	23	AA MLE	Richmond Flying Squirrels	—	291	259	59	11	0	2	22	57	4	11	6	228	298	293	592	66	272	20	8	260	62	—	—	—	—	—	—
2014	24	MLB MLE	San Francisco Giants	—	106	98	23	6	0	0	4	22	1	1	1	235	272	296	568	61	303	21	4	253	57	-5	-0	+1	+1	+2	-0.1
2014	24	AAA MLE	Fresno Grizzlies	—	22	20	6	0	0	1	1	5	0	0	0	300	333	450	783	150	326	23	5	308	95	—	—	—	—	—	—
2015	25	MLB MLE	San Francisco Giants	—	134	113	21	7	1	0	15	20	4	3	2	186	303	265	569	80	226	15	11	268	68	-5	-0	+3	+4	+3	0.4
2015	25	AAA MLE	Sacramento River Cats	—	195	175	48	5	1	2	13	46	2	6	1	274	332	349	680	74	342	24	7	294	85	—	—	—	—	—	—
2016	26	MLB MLE	San Francisco Giants	—	71	63	16	2	0	2	2	13	2	0	1	254	299	381	679	127	292	18	3	295	86	-1	-0	-2	+2	+2	-0.0
2016	26	AAA MLE	Sacramento River Cats	—	37	36	9	2	0	1	1	5	0	1	3	250	270	389	659	139	242	14	3	252	57	—	—	—	—	—	—
2016	26	A+ MLE	San Jose Giants	—	36	34	9	2	0	4	1	5	0	0	0	265	286	676	962	412	197	14	3	425	174	—	—	—	—	—	—
2017	27	MLB MLE	Minnesota Twins	—	186	163	43	9	2	2	15	25	1	8	1	264	330	380	710	117	291	13	8	308	95	-1	+1	+2	+3	+4	0.9
2017	27	AAA MLE	Rochester Red Wings	—	44	39	8	0	0	0	4	13	0	0	1	205	279	205	484		279	30	9	210	28	—	—	—	—	—	—
2017	27	A+ MLE	Fort Myers Miracle	—	15	15	6	2	0	0	0	0	0	1	0	400	400	533	933	133	340	0	0	337	114	—	—	—	—	—	—
2018	28	MLB MLE	Minnesota Twins	—	366	337	84	23	1	6	22	82	1	5	1	249	297	377	674	128	313	22	6	296	87	-6	+1	+6	+4	+8	1.3
2019	29	MLB MLE	Minnesota Twins	—	236	205	55	8	3	5	19	40	6	0	2	268	348	410	758	141	311	17	8	332	111	+3	-1	-2	+3	+5	0.8
2020	30	MLB MLE	Minnesota Twins	—	101	89	17	7	0	0	11	23	1	1	0	191	287	270	557	79	258	23	11	262	63	-4	+0	+3	+0	+2	0.1
2021	31	MLB MLE	Atlanta Braves	—	209	182	45	9	2	5	21	42	2	0	0	247	332	401	733	154	290	20	10	323	105	+1	+0	+0	-2	+5	0.4
2022	32	MLB MLE	Atlanta Braves	—	110	97	17	3	0	0	11	25	1	1	0	175	266	206	472	31	233	23	10	227	40	-8	+0	-2	+1	+2	-0.6
2022	32	AAA MLE	Gwinnett Stripers	—	32	29	7	1	0	1	1	8	1	1	0	241	290	379	670	138	294	25	3	268	68	—	—	—	—	—	—
2022	32	AA MLE	Harrisburg Senators	—	20	17	7	1	0	1	2	4	1	0	0	412	500	647	1.147	235	437	20	10	437	182	—	—	—	—	—	—
2023	33	AAA MLE	Gwinnett Stripers	—	30	29	4	2	0	0	1	4	0	0	0	138	167	207	374	69	139	13	3	153	-10	—	—	—	—	—	—
2023	33	A+ MLE	Rome Braves	—	24	21	6	2	0	0	2	3	0	1	0	286	348	381	729	95	269	12	8	299	88	—	—	—	—	—	—
2024	34	MLB MLE	Los Angeles Angels	—	28	26	5	1	0	1	2	11	0	0	0	192	250	346	596	154	286	39	7	267	67	-1	+0	+1	+0	+1	0.1
2024	34	AAA MLE	Salt Lake Bees	—	53	45	13	1	2	1	6	11	0	2	0	289	373	467	839	178	326	21	11	350	123	—	—	—	—	—	—
2006	16	ROK MLE	DSL Giants	—	155	129	14	1	1	0	17	38	4	3	2	109	233	132	365	23	152	25	11	180	8	—	—	—	—	—	—
2006	16	ROK RAW	DSL Giants	—	155	122	19	2	1	0	24	31	4	3	2	156	313	189	502	33	207	20	15	247	8	—	—	—	—	—	—
2007	17	ROK MLE	DSL Giants	—	302	262	41	11	1	0	28	38	4	23	6	156	248	206	454	50	179	13	9	212	30	—	—	—	—	—	—
2007	17	ROK RAW	DSL Giants	—	302	249	60	17	2	0	41	31	4	23	6	241	357	325	682	84	269	10	14	310	30	—	—	—	—	—	—
2008	18	ROK MLE	AZL Giants	—	63	58	11	3	0	1	4	6	1	0	1	190	254	293	547	103	196	10	6	238	47	—	—	—	—	—	—
2008	18	ROK RAW	AZL Giants	—	63	55	14	4	0	1	7	4	1	0	1	255	349	382	731	127	260	6	11	333	47	—	—	—	—	—	—
2009	19	A MLE	Augusta GreenJackets	—	448	401	95	13	3	2	29	88	5	7	1	237	297	299	596	62	292	20	6	259	61	—	—	—	—	—	—
2009	19	A RAW	Augusta GreenJackets	—	448	388	100	15	3	2	42	66	5	7	1	258	338	327	665	70	300	15	9	298	61	—	—	—	—	—	—
2010	20	A+ MLE	San Jose Giants	—	508	457	107	20	4	3	35	120	5	33	15	234	296	315	611	81	310	24	7	263	64	—	—	—	—	—	—
2010	20	A+ RAW	San Jose Giants	—	508	445	114	22	5	3	47	87	5	33	15	256	334	348	682	92	312	17	9	305	64	—	—	—	—	—	—
2011	21	A+ MLE	3 teams	—	519	461	106	34	4	7	36	127	6	8	3	230	294	367	661	137	298	24	7	283	78	—	—	—	—	—	—
2011	21	A+ RAW	3 teams	—	519	450	120	37	5	7	47	90	6	8	3	267	344	418	762	151	316	17	9	331	78	—	—	—	—	—	—
2012	22	AA MLE	2 teams	—	616	555	118	25	6	3	36	133	7	16	4	213	269	295	565	83	272	22	6	242	50	—	—	—	—	—	—
2012	22	AA RAW	2 teams	—	616	538	123	28	7	3	53	110	7	16	4	229	306	323	629	95	280	18	9	280	50	—	—	—	—	—	—
2013	23	AA MLE	4 teams	—	522	457	113	19	6	3	44	109	6	17	10	247	321	335	656	88	316	21	8	287	80	—	—	—	—	—	—
2013	23	AA RAW	4 teams	—	522	440	113	22	6	3	61	88	6	17	10	257	355	355	710	98	312	17	12	317	80	—	—	—	—	—	—
2014	24	INTL MLE	3 teams	—	267	246	60	12	0	2	11	57	3	2	2	244	285	317	602	73	307	21	4	262	64	—	—	—	—	—	—
2014	24	INTL RAW	3 teams	—	267	239	68	15	1	4	18	49	3	2	2	285	342	406	748	121	340	18	7	327	64	—	—	—	—	—	—
2015	25	AAA MLE	2 teams	—	329	288	69	12	2	2	28	66	6	9	3	240	320	316	636	76	305	20	9	283	78	—	—	—	—	—	—
2015	25	AAA RAW	2 teams	—	329	284	75	13	2	3	32	57	6	9	3	264	351	356	707	92	321	17	10	318	78	—	—	—	—	—	—
2016	26	MLB MLE	4 teams	—	178	164	42	8	0	9	6	29	2	1	4	256	291	470	760	213	258	16	3	316	100	+0	-1	-2	+2	+4	0.2
2016	26	MLB RAW	4 teams	—	178	160	42	8	0	9	10	25	2	1	4	263	314	481	795	219	258	14	6	337	100	+0	-1	-2	+2	+4	0.2
2017	27	MLB MLE	3 teams	—	245	217	56	11	2	2	19	38	1	9	2	258	321	355	676	97	295	16	8	292	84	-5	+1	+2	+3	+5	0.6
2017	27	MLB RAW	3 teams	—	245	214	57	11	2	2	22	36	1	9	2	266	338	364	702	98	302	15	9	309	84	-5	+1	+2	+3	+5	0.6
2018	28	MLB MLE	Minnesota Twins	—	366	337	84	23	1	6	22	82	1	5	1	249	297	377	674	128	311	22	6	296	87	-6	+1	+6	+4	+8	1.3
2018	28	MLB RAW	Minnesota Twins	—	366	335	84	23	1	6	24	82	1	5	1	251	303	379	682	128	313	22	7	300	87	-6	+1	+6	+4	+8	1.3
2019	29	MLB MLE	Minnesota Twins	—	236	205	55	8	3	5	19	40	6	0	2	268	348	410	758	141	305	17	8	332	111	+3	-1	-2	+3	+5	0.8
2019	29	MLB RAW	Minnesota Twins	—	236	202	55	8	3	5	20	40	6	0	2	272	352	416	768	144	311	17	8	336	111	+3	-1	-2	+3	+5	0.8
2020	30	MLB MLE	Minnesota Twins	—	101	89	17	7	0	0	11	23	1	1	0	191	287	270	557	79	258	23	11	262	63	-4	+0	+3	+0	+2	0.1
2020	30	MLB RAW	Minnesota Twins	—	101	89	17	7	0	0	11	23	1	1	0	191	287	270	557	79	258	23	11	262	63	-4	+0	+3	+0	+2	0.1
2021	31	MLB MLE	Atlanta Braves	—	209	182	45	9	2	5	21	42	2	0	0	247	332	401	733	154	290	20	10	323	105	+1	+0	+0	-2	+5	0.4
2021	31	MLB RAW	Atlanta Braves	—	209	182	45	9	2	5	21	42	2	0	0	247	332	401	733	154	290	20	10	323	105	+1	+0	+0	-2	+5	0.4
2022	32	MLB MLE	4 teams	—	256	224	47	7	0	2	23	59	4	4	0	210	295	268	563	58	273	23	9	261	63	-11	+1	-2	+1	+6	-0.6
2022	32	MLB RAW	4 teams	—	256	212	48	8	0	2	35	46	4	4	0	226	347	292	639	66	277	18	14	298	63	-11	+1	-2	+1	+6	-0.6
2023	33	INTL MLE	3 teams	—	143	127	24	9	0	0	9	17	1	2	1	189	248	260	508	71	212	12	6	218	34	—	—	—	—	—	—
2023	33	INTL RAW	3 teams	—	143	117	24	8	1	3	19	19	1	2	1	205	321	368	689	162	214	13	13	301	34	—	—	—	—	—	—
2024	34	AAA MLE	2 teams	—	81	71	19	3	2	2	8	22	0	2	0	268	342	451	792	183	347	27	10	321	104	—	—	—	—	—	—
2024	34	AAA RAW	2 teams	—	81	69	20	3	2	2	10	20	0	2	0	290	380	478	858	188	367	25	12	370	104	—	—	—	—	—	—
2006	16	ROK MLE	DSL Giants	—	155	133	14	1	1	0	17	38	4	3	2	105	233	128	361	23	148	25	11	180	8	—	—	—	—	—	—
2007	17	ROK MLE	DSL Giants	—	302	267	41	11	1	0	28	38	4	23	6	154	248	202	451	49	174	13	9	212	30	—	—	—	—	—	—
2008	18	ROK MLE	AZL Giants	—	63	58	11	3	0	1	4	6	1	0	1	190	254	293	547	103	196	10	6	238	47	—	—	—	—	—	—
2009	19	A MLE	Augusta GreenJackets	—	448	411	95	13	3	2	29	88	5	7	1	231	297	292	589	61	278	20	6	259	61	—	—	—	—	—	—
2010	20	A+ MLE	San Jose Giants	—	508	463	107	20	4	3	35	120	5	33	15	231	296	311	607	80	298	24	7	263	64	—	—	—	—	—	—
2011	21	A+ MLE	3 teams	—	519	472	106	34	4	7	36	127	6	8	3	225	294	358	652	133	287	24	7	283	78	—	—	—	—	—	—
2012	22	AA MLE	2 teams	—	616	568	118	25	6	3	36	133	7	16	4	208	269	289	558	81	259	22	6	242	50	—	—	—	—	—	—
2013	23	AA MLE	4 teams	—	522	467	113	19	6	3	44	109	6	17	10	242	321	328	649	86	304	21	8	287	80	—	—	—	—	—	—
2014	24	INTL MLE	3 teams	—	267	251	60	12	0	2	11	57	3	2	2	239	285	311	595	72	307	21	4	262	64	—	—	—	—	—	—
2015	25	AAA MLE	2 teams	—	329	292	69	12	2	2	28	66	6	9	3	236	320	312	632	75	295	20	9	283	78	—	—	—	—	—	—
2016	26	MLB MLE	4 teams	—	178	168	42	8	0	9	6	29	2	1	4	250	291	458	749	208	255	16	3	316	100	—	—	—	—	—	—
2017	27	MLB MLE	3 teams	—	245	223	56	11	2	2	19	38	1	9	2	251	321	345	666	94	292	16	8	292	84	—	—	—	—	—	—
2018	28	MLB MLE	Minnesota Twins	—	366	340	84	23	1	6	22	82	1	5	1	247	297	374	671	126	313	22	6	296	87	—	—	—	—	—	—
2019	29	MLB MLE	Minnesota Twins	—	236	209	55	8	3	5	19	40	6	0	2	263	348	402	750	139	311	17	8	332	111	—	—	—	—	—	—
2020	30	MLB MLE	Minnesota Twins	—	101	88	17	7	0	0	11	23	1	1	0	193	287	273	560	80	258	23	11	262	63	—	—	—	—	—	—
2021	31	MLB MLE	Atlanta Braves	—	209	184	45	9	2	5	21	42	2	0	0	245	332	397	728	152	290	20	10	323	105	—	—	—	—	—	—
2022	32	MLB MLE	4 teams	—	256	227	47	7	0	2	23	59	4	4	0	207	295	264	559	57	270	23	9	261	63	—	—	—	—	—	—
2023	33	INTL MLE	3 teams	—	143	132	24	9	0	0	9	17	1	2	1	182	248	250	498	68	197	12	6	218	34	—	—	—	—	—	—
2024	34	AAA MLE	2 teams	—	81	73	19	3	2	2	8	22	0	2	0	260	342	438	780	178	312	27	10	321	104	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	34	AAA MLE	2 teams	—	81	73	19	3	2	2	8	22	0	2	0	260	342	438	780	178	312	27	10	321	104	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1567	1384	330	76	9	22	128	308	19	19	8	238	311	354	665	116	288	20	8	295	69	-26	+1	+11	+20	+34	4.1
/ 162G	—	A+C		—	650	574	138	32	4	9	53	128	8	8	3	240	313	357	670	117	291	20	8	295	69	-11	+0	+5	+8	+14	1.7
Career	—	MLE		—	5544	4930	1123	235	37	54	406	1134	65	142	57	228	295	323	618	96	282	20	7	270	69	-26	+1	+11	+20	+34	4.1
/ 162G	—	MLE		—	650	578	131	28	4	6	48	133	8	17	7	227	295	320	615	93	281	20	7	270	69	-11	+0	+5	+8	+14	1.7

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.

2024 AAASalt Lake Bees · 53 PAwOBA .430 → .350 (−80)K% 17.0% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.98%	÷0.971	×1.200	—	—	20.99%
BB% (unintentional) /PA	15.09%	÷0.944	×0.690	—	×0.940	10.37%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	29.41%	÷1.030	×0.930	—	×0.940	24.95%
Doubles /BIP	5.88%	÷1.141	×0.830	—	×0.940	4.02%
Triples /BIP	5.88%	÷1.150	×0.970	—	×0.940	4.66%
Home runs /BIP	2.94%	÷0.886	×0.700	—	×0.940	2.18%

Factors used: league row International League. Park (home-season share, regressed): HR 77, 1B 106, 2B 128, 3B 130, K 94, BB 89 — applied at half strength. Age: age 35 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (7.8 yr older than average).

Result: wOBA .430 → .350; ISO .209 → .168; BABIP .400 → .326. 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 AAAGwinnett Stripers · 30 PAwOBA .188 → .153 (−35)K% 10.0% → 11.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.00%	÷1.005	×1.200	—	—	11.94%
BB% (unintentional) /PA	6.67%	÷0.997	×0.690	—	×0.940	4.34%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	8.00%	÷0.968	×0.930	—	×0.940	7.22%
Doubles /BIP	8.00%	÷0.933	×0.830	—	×0.940	6.69%
Triples /BIP	0.00%	÷0.999	×0.970	—	×0.940	0.00%
Home runs /BIP	0.00%	÷0.984	×0.700	—	×0.940	0.00%

Factors used: league row International League. Park (home-season share, regressed): HR 97, 1B 94, 2B 87, 3B 100, K 101, BB 99 — 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).

Result: wOBA .188 → .153; ISO .071 → .060; BABIP .160 → .139. 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+Rome Braves · 24 PAwOBA .381 → .299 (−82)K% 8.3% → 11.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.33%	÷0.985	×1.310	—	—	11.08%
BB% (unintentional) /PA	16.67%	÷1.045	×0.600	—	×0.940	9.00%
HBP% /PA	0.00%	—	×0.770	—	×0.940	0.00%
Singles /BIP	23.53%	÷0.977	×0.870	—	×0.940	19.69%
Doubles /BIP	11.76%	÷0.995	×0.780	—	×0.940	8.67%
Triples /BIP	0.00%	÷1.087	×0.850	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.022	×0.880	—	×0.940	0.00%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 104, 1B 95, 2B 99, 3B 117, K 97, BB 109 — 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 .381 → .299; ISO .105 → .087; BABIP .333 → .269. 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 AAAGwinnett Stripers · 32 PAwOBA .332 → .268 (−64)K% 21.9% → 26.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.88%	÷1.002	×1.200	—	—	26.20%
BB% (unintentional) /PA	6.25%	÷0.998	×0.690	—	×0.942	4.07%
HBP% /PA	3.12%	—	×0.940	—	×0.942	2.77%
Singles /BIP	28.57%	÷1.018	×0.930	—	×0.942	24.60%
Doubles /BIP	4.76%	÷0.966	×0.830	—	×0.942	3.85%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.942	0.00%
Home runs /BIP	4.76%	÷0.981	×0.700	—	×0.942	3.20%

Factors used: league row International League. Park (home-season share, regressed): HR 96, 1B 104, 2B 93, 3B 130, K 100, BB 100 — 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).

Result: wOBA .332 → .268; ISO .143 → .103; BABIP .350 → .294. 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 AAHarrisburg Senators · 20 PAwOBA .522 → .437 (−85)K% 15.0% → 18.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.00%	÷0.996	×1.220	—	—	18.37%
BB% (unintentional) /PA	15.00%	÷0.980	×0.700	—	×0.940	10.08%
HBP% /PA	5.00%	—	×0.850	—	×0.940	4.00%
Singles /BIP	38.46%	÷1.016	×0.970	—	×0.940	34.50%
Doubles /BIP	7.69%	÷0.936	×0.860	—	×0.940	6.65%
Triples /BIP	0.00%	÷1.150	×0.950	—	×0.940	0.00%
Home runs /BIP	7.69%	÷0.979	×0.780	—	×0.940	5.76%

Factors used: league row EL. Park (home-season share, regressed): HR 96, 1B 103, 2B 87, 3B 130, K 99, BB 96 — applied at half strength. Age: age 33 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (8.2 yr older than average).

Result: wOBA .522 → .437; ISO .250 → .202; BABIP .500 → .437. 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 AAARochester Red Wings · 44 PAwOBA .254 → .210 (−44)K% 25.0% → 30.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷0.997	×1.200	—	—	30.09%
BB% (unintentional) /PA	13.64%	÷1.080	×0.690	—	×0.992	8.65%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	30.77%	÷1.019	×0.930	—	×0.992	27.86%
Doubles /BIP	0.00%	÷1.085	×0.830	—	×0.992	0.00%
Triples /BIP	0.00%	÷1.085	×0.970	—	×0.992	0.00%
Home runs /BIP	0.00%	÷0.956	×0.840	—	×0.992	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 104, 2B 117, 3B 117, K 99, BB 116 — 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).

Result: wOBA .254 → .210; ISO .000 → .000; BABIP .308 → .279. 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 A+Fort Myers Miracle · 15 PAwOBA .401 → .337 (−64)K% 0.0% → 0.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	0.00%	÷0.947	×1.420	—	—	0.00%
BB% (unintentional) /PA	0.00%	÷1.209	×0.750	—	×0.948	0.00%
HBP% /PA	0.00%	—	×0.930	—	×0.948	0.00%
Singles /BIP	26.67%	÷0.982	×0.920	—	×0.948	23.69%
Doubles /BIP	13.33%	÷1.178	×0.960	—	×0.948	10.30%
Triples /BIP	0.00%	÷1.150	×0.810	—	×0.948	0.00%
Home runs /BIP	0.00%	÷0.942	×0.880	—	×0.948	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 88, 1B 96, 2B 136, 3B 130, K 89, BB 142 — applied at half strength. Age: age 28 vs a level average of 22.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average).

Result: wOBA .401 → .337; ISO .133 → .103; BABIP .400 → .340. 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 AAASacramento River Cats · 37 PAwOBA .301 → .252 (−49)K% 10.8% → 13.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.81%	÷1.034	×1.290	—	—	13.49%
BB% (unintentional) /PA	5.41%	÷1.052	×0.710	—	×1.003	3.66%
HBP% /PA	0.00%	—	×0.980	—	×1.003	0.00%
Singles /BIP	19.35%	÷0.960	×0.900	—	×1.003	18.20%
Doubles /BIP	6.45%	÷0.973	×0.810	—	×1.003	5.39%
Triples /BIP	0.00%	÷0.900	×0.810	—	×1.003	0.00%
Home runs /BIP	3.23%	÷1.082	×0.780	—	×1.003	2.33%

Factors used: league row PCL. Park (home-season share, regressed): HR 116, 1B 92, 2B 95, 3B 80, K 107, BB 110 — 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 .301 → .252; ISO .143 → .108; BABIP .267 → .242. 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 — .