Yuniesky Betancourt

PosSS

B/TR/R

Born1982-01-31

Age (2027)45

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	34	INTLMexico	250	.278/.333/.388	5	1	103	—
2017	35	AAA/INTL2 orgs	498	.262/.305/.336	3	0	65	—	.231/.249/.269
2018	36	INTLAguilas de Me…	156	.250/.294/.347	3	2	78	—

Contract

No contract data on file.

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)
2005	23	MLB	Seattle Mariners	—	228	211	54	11	5	1	11	24	2	1	3	256	299	370	669	114	282	11	5	293	85	-4	-1	+3	+7	+5	1.0
2005	23	AAA	Tacoma Rainiers	—	194	183	54	9	6	2	6	14	2	7	5	295	325	443	767	148	310	7	3	333	80	—	—	—	—	—	—
2005	23	AA	San Antonio Missions	—	239	227	62	10	3	5	9	18	1	12	7	273	304	410	713	137	277	8	4	313	66	—	—	—	—	—	—
2006	24	MLB	Seattle Mariners	—	584	558	161	28	6	8	17	54	1	11	8	289	311	403	714	115	308	9	3	313	98	-2	-1	+7	+6	+13	2.4
2007	25	MLB	Seattle Mariners	—	559	536	155	38	2	9	15	48	1	5	4	289	310	418	728	129	302	9	3	318	99	-1	-1	+2	+6	+12	2.0
2008	26	MLB	Seattle Mariners	—	590	559	156	36	3	7	17	42	2	4	4	279	303	392	695	113	289	7	3	303	91	-6	-1	-4	+6	+13	0.8
2009	27	MLB	Kansas City Royals	—	508	470	115	20	6	6	21	44	0	3	3	245	277	351	628	106	256	9	4	271	69	-18	-1	-11	+5	+11	-1.4
2010	28	MLB	Kansas City Royals	—	588	556	144	29	2	16	23	64	1	2	3	259	290	405	694	146	267	11	4	303	94	-4	-1	-5	+6	+13	1.0
2011	29	MLB	Milwaukee Brewers	—	584	556	140	27	3	13	16	63	2	4	4	252	275	381	657	129	259	11	3	286	79	-14	-1	-0	+6	+13	0.4
2012	30	MLB	Kansas City Royals	—	228	215	49	14	1	7	9	25	0	0	1	228	259	400	659	172	226	11	4	285	83	-5	-0	-6	+1	+5	-0.5
2012	30	AA	Northwest Arkansas Naturals	—	15	15	5	1	0	1	0	3	0	0	0	333	333	600	933	267	364	20	0	405	88	—	—	—	—	—	—
2012	30	INTL	Aguilas de Mexicali	—	116	104	32	8	0	7	8	12	0	1	0	308	357	587	944	279	291	10	7	395	153	—	—	—	—	—	—
2013	31	MLB	Milwaukee Brewers	—	409	391	83	15	1	13	14	71	1	0	0	212	241	355	597	143	226	17	3	262	61	-19	+0	-7	+1	+9	-1.6
2015	33	AAA	Toros de Tijuana	—	80	72	18	4	0	1	5	10	1	1	0	250	308	347	655	97	270	12	6	290	45	—	—	—	—	—	—
2015	33	INTL	Mexico	—	282	264	81	19	0	12	15	24	1	2	1	307	346	515	862	208	300	9	5	375	140	—	—	—	—	—	—
2016	34	INTL	Mexico	—	250	227	63	8	1	5	17	20	2	1	0	278	333	388	721	110	283	8	7	320	103	—	—	—	—	—	—
2017	35	AAA	Leones de Yucatan	—	218	204	55	7	0	1	9	16	0	0	1	270	300	319	619	49	283	7	4	275	39	—	—	—	—	—	—
2017	35	INTL	Aguilas de Mexicali	—	280	257	66	16	1	2	17	22	2	0	0	257	308	350	658	93	270	8	6	294	85	—	—	—	—	—	—
2018	36	INTL	Aguilas de Mexicali	—	156	144	36	5	0	3	9	15	0	2	0	250	294	347	641	97	258	10	6	284	78	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	4278	4052	1057	218	29	80	143	435	10	30	30	261	288	388	676	127	273	10	3	295	86	-73	-6	-20	+46	+93	4.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	23	MLB MLE	Seattle Mariners	—	228	211	54	11	5	1	11	24	2	1	3	256	299	370	669	114	282	11	5	293	85	-4	-1	+3	+7	+5	1.0
2005	23	AAA MLE	Tacoma Rainiers	—	194	185	48	7	5	2	4	18	2	7	5	259	283	384	667	124	277	9	2	286	80	—	—	—	—	—	—
2005	23	AA MLE	San Antonio Missions	—	239	230	55	8	3	4	6	22	1	12	7	239	262	352	614	113	245	9	3	266	66	—	—	—	—	—	—
2006	24	MLB MLE	Seattle Mariners	—	584	558	161	28	6	8	17	54	1	11	8	289	311	403	714	115	308	9	3	313	98	-2	-1	+7	+6	+13	2.4
2007	25	MLB MLE	Seattle Mariners	—	559	539	155	38	2	9	12	48	1	5	4	288	304	416	720	128	302	9	2	314	99	-1	-1	+2	+6	+12	2.0
2008	26	MLB MLE	Seattle Mariners	—	590	559	156	36	3	7	17	42	2	4	4	279	303	392	695	113	289	7	3	303	91	-6	-1	-4	+6	+13	0.8
2009	27	MLB MLE	Kansas City Royals	—	508	470	115	20	6	6	21	44	0	3	3	245	277	351	628	106	256	9	4	271	69	-18	-1	-11	+5	+11	-1.4
2010	28	MLB MLE	Kansas City Royals	—	588	557	146	29	2	17	22	64	1	2	3	262	291	413	704	151	267	11	4	308	94	-4	-1	-5	+6	+13	1.0
2011	29	MLB MLE	Milwaukee Brewers	—	584	559	141	29	3	12	13	63	2	4	4	252	272	379	651	127	259	11	2	285	79	-14	-1	-0	+6	+13	0.4
2012	30	MLB MLE	Kansas City Royals	—	228	215	50	14	1	8	9	25	0	0	1	233	263	419	682	186	226	11	4	290	83	-5	-0	-6	+1	+5	-0.5
2012	30	AA MLE	Northwest Arkansas Naturals	—	15	15	4	1	0	1	0	4	0	0	0	267	267	533	800	267	301	27	0	299	88	—	—	—	—	—	—
2013	31	MLB MLE	Milwaukee Brewers	—	409	394	83	16	1	12	11	71	1	0	0	211	234	348	582	137	226	17	3	258	61	-19	+0	-7	+1	+9	-1.6
2015	33	AAA MLE	Toros de Tijuana	—	80	74	16	3	0	1	3	12	1	1	0	216	256	297	554	81	231	15	4	234	45	—	—	—	—	—	—
2017	35	AAA MLE	Leones de Yucatan	—	218	208	48	5	0	1	5	19	0	0	1	231	249	269	518	38	238	9	2	226	39	—	—	—	—	—	—
2005	23	AA MLE	3 teams	—	661	626	158	27	13	7	21	64	5	20	15	252	282	371	653	118	270	10	3	281	77	—	—	—	—	—	—
2005	23	AA RAW	3 teams	—	661	621	170	30	14	8	26	56	5	20	15	274	308	406	714	132	288	8	4	312	77	—	—	—	—	—	—
2006	24	MLB MLE	Seattle Mariners	—	584	558	161	28	6	8	17	54	1	11	8	289	311	403	714	115	308	9	3	313	98	-2	-1	+7	+6	+13	2.4
2006	24	MLB RAW	Seattle Mariners	—	584	558	161	28	6	8	17	54	1	11	8	289	311	403	714	115	308	9	3	313	98	-2	-1	+7	+6	+13	2.4
2007	25	MLB MLE	Seattle Mariners	—	559	539	155	38	2	9	12	48	1	5	4	288	304	416	720	128	300	9	2	314	99	-1	-1	+2	+6	+12	2.0
2007	25	MLB RAW	Seattle Mariners	—	559	536	155	38	2	9	15	48	1	5	4	289	310	418	728	129	302	9	3	318	99	-1	-1	+2	+6	+12	2.0
2008	26	MLB MLE	Seattle Mariners	—	590	559	156	36	3	7	17	42	2	4	4	279	303	392	695	113	289	7	3	303	91	-6	-1	-4	+6	+13	0.8
2008	26	MLB RAW	Seattle Mariners	—	590	559	156	36	3	7	17	42	2	4	4	279	303	392	695	113	289	7	3	303	91	-6	-1	-4	+6	+13	0.8
2009	27	MLB MLE	Kansas City Royals	—	508	470	115	20	6	6	21	44	0	3	3	245	277	351	628	106	256	9	4	271	69	-18	-1	-11	+5	+11	-1.4
2009	27	MLB RAW	Kansas City Royals	—	508	470	115	20	6	6	21	44	0	3	3	245	277	351	628	106	256	9	4	271	69	-18	-1	-11	+5	+11	-1.4
2010	28	MLB MLE	Kansas City Royals	—	588	557	146	29	2	17	22	64	1	2	3	262	291	413	704	151	269	11	4	308	94	-4	-1	-5	+6	+13	1.0
2010	28	MLB RAW	Kansas City Royals	—	588	556	144	29	2	16	23	64	1	2	3	259	290	405	694	146	267	11	4	303	94	-4	-1	-5	+6	+13	1.0
2011	29	MLB MLE	Milwaukee Brewers	—	584	559	141	29	3	12	13	63	2	4	4	252	272	379	651	127	261	11	2	285	79	-14	-1	-0	+6	+13	0.4
2011	29	MLB RAW	Milwaukee Brewers	—	584	556	140	27	3	13	16	63	2	4	4	252	275	381	657	129	259	11	3	286	79	-14	-1	-0	+6	+13	0.4
2012	30	MLB MLE	3 teams	—	359	338	79	22	1	12	13	42	0	1	1	234	262	411	673	178	233	12	4	291	83	-7	-0	-6	+1	+8	-0.4
2012	30	MLB RAW	3 teams	—	359	334	86	23	1	15	17	40	0	1	1	257	293	467	761	210	251	11	5	325	83	-7	-0	-6	+1	+8	-0.4
2013	31	MLB MLE	Milwaukee Brewers	—	409	394	83	16	1	12	11	71	1	0	0	211	234	348	582	137	226	17	3	258	61	-19	+0	-7	+1	+9	-1.6
2013	31	MLB RAW	Milwaukee Brewers	—	409	391	83	15	1	13	14	71	1	0	0	212	241	355	597	143	226	17	3	262	61	-19	+0	-7	+1	+9	-1.6
2015	33	INTL MLE	2 teams	—	362	344	71	14	0	3	12	55	2	3	1	206	237	273	511	67	234	15	3	234	45	—	—	—	—	—	—
2015	33	INTL RAW	2 teams	—	362	336	99	23	0	13	20	34	2	3	1	295	338	479	817	185	294	9	6	356	45	—	—	—	—	—	—
2016	34	INTL MLE	Mexico	—	250	227	63	8	1	5	17	20	2	1	0	278	333	388	721	110	283	8	7	—	—	—	—	—	—	—	—
2016	34	INTL RAW	Mexico	—	250	227	63	8	1	5	17	20	2	1	0	278	333	388	721	110	283	8	7	320	103	—	—	—	—	—	—
2017	35	INTL MLE	2 teams	—	498	475	109	12	0	2	12	43	2	0	1	229	252	267	519	38	244	9	2	226	39	—	—	—	—	—	—
2017	35	INTL RAW	2 teams	—	498	461	121	23	1	3	26	38	2	0	1	262	305	336	641	74	276	8	5	285	39	—	—	—	—	—	—
2018	36	INTL MLE	Aguilas de Mexicali	—	156	144	36	5	0	3	9	15	0	2	0	250	294	347	641	97	258	10	6	—	—	—	—	—	—	—	—
2018	36	INTL RAW	Aguilas de Mexicali	—	156	144	36	5	0	3	9	15	0	2	0	250	294	347	641	97	258	10	6	284	78	—	—	—	—	—	—
2005	23	AA MLE	3 teams	—	661	630	158	27	13	7	21	64	5	20	15	251	282	368	650	117	267	10	3	281	77	—	—	—	—	—	—
2006	24	MLB MLE	Seattle Mariners	—	584	561	161	28	6	8	17	54	1	11	8	287	311	401	712	114	308	9	3	313	98	—	—	—	—	—	—
2007	25	MLB MLE	Seattle Mariners	—	559	541	155	38	2	9	12	48	1	5	4	287	304	414	718	128	302	9	2	314	99	—	—	—	—	—	—
2008	26	MLB MLE	Seattle Mariners	—	590	566	156	36	3	7	17	42	2	4	4	276	303	387	690	111	289	7	3	303	91	—	—	—	—	—	—
2009	27	MLB MLE	Kansas City Royals	—	508	482	115	20	6	6	21	44	0	3	3	239	277	342	619	104	256	9	4	271	69	—	—	—	—	—	—
2010	28	MLB MLE	Kansas City Royals	—	588	560	146	29	2	17	22	64	1	2	3	261	291	411	702	150	267	11	4	308	94	—	—	—	—	—	—
2011	29	MLB MLE	Milwaukee Brewers	—	584	564	141	29	3	12	13	63	2	4	4	250	272	376	648	126	259	11	2	285	79	—	—	—	—	—	—
2012	30	MLB MLE	3 teams	—	359	343	79	22	1	12	13	42	0	1	1	230	262	405	667	175	230	12	4	291	83	—	—	—	—	—	—
2013	31	MLB MLE	Milwaukee Brewers	—	409	394	83	16	1	12	11	71	1	0	0	211	234	348	582	137	226	17	3	258	61	—	—	—	—	—	—
2015	33	INTL MLE	2 teams	—	362	345	71	14	0	3	12	55	2	3	1	206	237	272	510	67	231	15	3	234	45	—	—	—	—	—	—
2017	35	INTL MLE	2 teams	—	498	481	109	12	0	2	12	43	2	0	1	227	252	264	516	37	238	9	2	226	39	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4278	4052	1057	218	29	80	143	435	10	30	30	261	288	388	676	127	273	10	3	295	65	-73	-6	-20	+46	+93	4.1
/ 162G	—	A+C		—	650	616	160	33	4	12	22	66	2	5	5	260	288	385	673	125	272	10	3	295	65	-11	-1	-3	+7	+14	0.6
Career	—	MLE		—	6108	5790	1473	284	38	103	197	625	19	56	44	254	281	370	651	116	267	10	3	264	65	-73	-6	-20	+46	+93	4.1
/ 162G	—	MLE		—	650	616	157	30	4	11	21	67	2	6	5	255	281	370	651	115	268	10	3	264	65	-11	-1	-3	+7	+14	0.6

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.

2017 AAALeones de Yucatan · 218 PAwOBA .270 → .226 (−44)K% 7.3% → 8.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.34%	÷1.015	×1.200	—	—	8.68%
BB% (unintentional) /PA	3.67%	÷0.998	×0.690	—	×0.940	2.39%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	25.00%	÷1.002	×0.930	×0.983	×0.940	21.45%
Doubles /BIP	3.72%	÷1.054	×0.830	×0.983	×0.940	2.71%
Triples /BIP	0.00%	÷0.900	×0.920	×0.983	×0.940	0.00%
Home runs /BIP	0.53%	÷0.945	×0.700	—	×0.940	0.37%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 100, 2B 111, 3B 80, K 103, BB 100 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.983.

Result: wOBA .270 → .226; ISO .049 → .036; BABIP .283 → .238. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2015 AAAToros de Tijuana · 80 PAwOBA .284 → .234 (−50)K% 12.5% → 15.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.50%	÷0.978	×1.200	—	—	15.34%
BB% (unintentional) /PA	5.00%	÷1.013	×0.690	—	×0.942	3.21%
HBP% /PA	1.25%	—	×0.940	—	×0.942	1.11%
Singles /BIP	20.97%	÷0.982	×0.930	×0.999	×0.942	18.68%
Doubles /BIP	6.45%	÷1.026	×0.830	×0.999	×0.942	4.91%
Triples /BIP	0.00%	÷1.046	×0.920	×0.999	×0.942	0.00%
Home runs /BIP	1.61%	÷1.208	×0.700	—	×0.942	0.88%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 142, 1B 96, 2B 105, 3B 109, K 96, BB 103 — 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 ×0.999.

Result: wOBA .284 → .234; ISO .097 → .067; BABIP .270 → .231. 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).

2012 AANorthwest Arkansas Naturals · 15 PAwOBA .393 → .299 (−94)K% 20.0% → 24.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷0.989	×1.220	—	—	24.68%
BB% (unintentional) /PA	0.00%	÷0.936	×0.700	—	×0.948	0.00%
HBP% /PA	0.00%	—	×0.870	—	×0.948	0.00%
Singles /BIP	25.00%	÷1.047	×0.920	—	×0.948	20.83%
Doubles /BIP	8.33%	÷0.883	×0.840	—	×0.948	7.52%
Triples /BIP	0.00%	÷1.079	×0.940	—	×0.948	0.00%
Home runs /BIP	8.33%	÷1.059	×0.800	—	×0.948	5.97%

Factors used: league row TL. Park (home-season share, regressed): HR 112, 1B 109, 2B 77, 3B 116, K 98, BB 87 — applied at half strength. Age: age 30 vs a level average of 24.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average).

Result: wOBA .393 → .299; ISO .267 → .191; BABIP .364 → .301. 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).

2005 AASan Antonio Missions · 239 PAwOBA .306 → .266 (−39)K% 7.5% → 9.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.53%	÷1.000	×1.220	—	—	9.19%
BB% (unintentional) /PA	3.35%	÷1.000	×0.700	—	×1.027	2.41%
HBP% /PA	0.42%	—	×0.870	—	×1.027	0.37%
Singles /BIP	21.05%	÷1.000	×0.920	×0.956	×1.027	19.02%
Doubles /BIP	4.78%	÷1.000	×0.840	×0.956	×1.027	3.95%
Triples /BIP	1.44%	÷1.000	×0.940	×0.956	×1.027	1.32%
Home runs /BIP	2.39%	÷1.000	×0.800	—	×1.027	1.97%

Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.956.

Result: wOBA .306 → .266; ISO .137 → .116; BABIP .277 → .245. 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).

2005 AAATacoma Rainiers · 194 PAwOBA .325 → .286 (−39)K% 7.2% → 9.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.22%	÷1.000	×1.290	—	—	9.31%
BB% (unintentional) /PA	3.09%	÷1.000	×0.710	—	×1.050	2.31%
HBP% /PA	1.03%	—	×0.980	—	×1.050	1.06%
Singles /BIP	21.89%	÷1.000	×0.900	×0.977	×1.050	20.21%
Doubles /BIP	5.33%	÷1.000	×0.810	×0.977	×1.050	4.42%
Triples /BIP	3.55%	÷1.000	×0.810	×0.977	×1.050	2.95%
Home runs /BIP	1.18%	÷1.000	×0.780	—	×1.050	0.97%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.977.

Result: wOBA .325 → .286; ISO .148 → .122; BABIP .310 → .277. 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 — .