Samir Dueñez

Pos1B

B/TL/R

Born1996-06-11

Age (2027)31

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	23	AAA/AA/INTL3 orgs	465	.211/.272/.306	8	0	29	—	.177/.220/.262
2021	25	A+CWS	149	.218/.302/.383	6	1	36	—	.167/.228/.297
2022	26	INTLTiburones de …	15	.231/.286/.231	0	0	40	—

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)
2013	17	ROK	AZL Royals	—	199	187	55	12	2	0	12	27	0	6	4	294	337	380	716	86	344	14	6	322	55	—	—	—	—	—	—
2014	18	A	Lexington Legends	—	149	142	33	9	2	0	7	19	0	2	1	232	268	324	592	92	268	13	5	266	50	—	—	—	—	—	—
2014	18	ROK	Idaho Falls Chukars	—	149	135	41	7	1	1	10	20	0	4	2	304	352	393	744	89	345	13	7	326	62	—	—	—	—	—	—
2015	19	A	Lexington Legends	—	396	361	96	13	4	1	24	33	2	11	5	266	315	332	648	66	289	8	6	288	63	—	—	—	—	—	—
2016	20	AA	Northwest Arkansas Naturals	—	59	54	15	5	0	0	5	12	0	2	0	278	339	370	709	93	357	20	8	321	63	—	—	—	—	—	—
2016	20	A+	Wilmington Blue Rocks	—	235	213	64	13	2	7	19	34	2	10	2	300	363	479	842	178	331	14	8	371	101	—	—	—	—	—	—
2016	20	A	Lexington Legends	—	285	265	72	15	3	6	15	40	2	14	2	272	316	419	734	147	297	14	5	323	67	—	—	—	—	—	—
2016	20	INTL	Navegantes del Magallanes	—	31	27	7	3	0	0	4	8	0	0	1	259	355	370	725	111	368	26	13	331	110	—	—	—	—	—	—
2017	21	AA	Northwest Arkansas Naturals	—	566	523	132	23	2	17	37	116	3	10	3	252	306	402	707	149	293	20	7	314	57	—	—	—	—	—	—
2017	21	INTL	Navegantes del Magallanes	—	91	75	17	1	1	0	15	11	0	0	0	227	356	267	622	40	262	12	16	296	86	—	—	—	—	—	—
2018	22	AA	Northwest Arkansas Naturals	—	328	287	81	18	2	10	35	68	1	5	0	282	362	463	826	181	332	21	11	361	85	—	—	—	—	—	—
2018	22	ROK	AZL Royals	—	24	21	5	2	0	1	2	7	0	1	0	238	304	476	781	238	286	29	8	327	36	—	—	—	—	—	—
2018	22	INTL	Tiburones de La Guaira	—	62	58	13	2	1	2	3	7	0	1	0	224	262	397	659	172	220	11	5	285	79	—	—	—	—	—	—
2019	23	AAA	Omaha Storm Chasers	—	248	224	48	9	0	6	21	52	1	0	1	214	285	335	619	121	251	21	8	279	32	—	—	—	—	—	—
2019	23	AA	Chattanooga Lookouts	—	183	165	34	5	1	2	12	37	0	0	0	206	260	285	545	79	242	20	7	241	25	—	—	—	—	—	—
2019	23	INTL	Tiburones de La Guaira	—	34	32	7	0	0	0	1	6	0	0	0	219	242	219	461		259	18	3	207	26	—	—	—	—	—	—
2021	25	A+	Winston-Salem Dash	—	149	133	29	4	0	6	15	41	1	1	1	218	302	383	685	165	267	28	10	309	36	—	—	—	—	—	—
2022	26	INTL	Tiburones de La Guaira	—	15	13	3	0	0	0	1	3	0	0	0	231	286	231	516		273	20	7	228	40	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	17	ROK MLE	AZL Royals	—	199	191	45	9	1	0	8	39	0	6	4	236	266	293	560	58	298	20	4	249	55	—	—	—	—	—	—
2014	18	A MLE	Lexington Legends	—	149	144	32	8	2	0	5	24	0	2	1	222	248	306	554	83	271	16	3	242	50	—	—	—	—	—	—
2014	18	ROK MLE	Idaho Falls Chukars	—	149	139	35	5	1	1	6	29	0	4	2	252	283	324	606	72	296	19	4	260	62	—	—	—	—	—	—
2015	19	A MLE	Lexington Legends	—	396	370	95	11	4	1	15	46	2	11	5	257	289	316	606	59	281	12	4	262	63	—	—	—	—	—	—
2016	20	AA MLE	Northwest Arkansas Naturals	—	59	56	13	4	0	0	3	14	0	2	0	232	271	304	575	71	319	24	5	262	63	—	—	—	—	—	—
2016	20	A+ MLE	Wilmington Blue Rocks	—	235	221	59	12	1	7	11	46	2	10	2	267	308	425	733	158	309	20	5	317	101	—	—	—	—	—	—
2016	20	A MLE	Lexington Legends	—	285	271	65	11	3	4	9	52	2	14	2	240	270	347	616	107	278	18	3	267	67	—	—	—	—	—	—
2017	21	AA MLE	Northwest Arkansas Naturals	—	566	533	113	18	2	12	27	146	3	10	3	212	254	321	575	109	266	26	5	253	57	—	—	—	—	—	—
2018	22	AA MLE	Northwest Arkansas Naturals	—	328	300	70	14	2	8	22	85	1	5	0	233	288	373	661	140	287	26	7	294	85	—	—	—	—	—	—
2018	22	ROK MLE	AZL Royals	—	24	22	3	1	0	1	1	10	0	1	0	136	174	318	492	182	209	42	4	221	36	—	—	—	—	—	—
2019	23	AAA MLE	Omaha Storm Chasers	—	248	231	40	7	0	5	14	69	1	0	1	173	224	268	492	95	218	28	6	215	32	—	—	—	—	—	—
2019	23	AA MLE	Chattanooga Lookouts	—	183	170	31	4	1	2	7	47	0	0	0	182	215	253	468	71	217	26	4	205	25	—	—	—	—	—	—
2021	25	A+ MLE	Winston-Salem Dash	—	149	138	23	3	0	5	10	57	1	1	1	167	228	297	525	130	232	38	7	222	36	—	—	—	—	—	—
2013	17	ROK MLE	AZL Royals	—	199	191	45	9	1	0	8	39	0	6	4	236	266	293	560	58	296	20	4	249	55	—	—	—	—	—	—
2013	17	ROK RAW	AZL Royals	—	199	187	55	12	2	0	12	27	0	6	4	294	337	380	716	86	344	14	6	322	55	—	—	—	—	—	—
2014	18	A MLE	2 teams	—	298	283	68	14	3	1	11	53	0	6	3	240	269	322	590	81	290	18	4	251	56	—	—	—	—	—	—
2014	18	A RAW	2 teams	—	298	277	74	16	3	1	17	39	0	6	3	267	310	357	667	90	305	13	6	296	56	—	—	—	—	—	—
2015	19	A MLE	Lexington Legends	—	396	370	95	11	4	1	15	46	2	11	5	257	289	316	606	59	289	12	4	262	63	—	—	—	—	—	—
2015	19	A RAW	Lexington Legends	—	396	361	96	13	4	1	24	33	2	11	5	266	315	332	648	66	289	8	6	288	63	—	—	—	—	—	—
2016	20	A MLE	4 teams	—	610	578	146	29	5	11	24	119	4	26	5	253	287	377	664	125	299	20	4	287	80	—	—	—	—	—	—
2016	20	A RAW	4 teams	—	610	559	158	36	5	13	43	94	4	26	5	283	338	435	773	152	319	15	7	342	80	—	—	—	—	—	—
2017	21	AA MLE	2 teams	—	657	618	131	21	2	14	32	170	3	10	3	212	254	320	575	108	267	26	5	253	57	—	—	—	—	—	—
2017	21	AA RAW	2 teams	—	657	598	149	24	3	17	52	127	3	10	3	249	312	385	697	135	288	19	8	311	57	—	—	—	—	—	—
2018	22	AA MLE	3 teams	—	414	379	87	18	2	11	27	111	1	7	0	230	283	375	657	145	288	27	7	289	82	—	—	—	—	—	—
2018	22	AA RAW	3 teams	—	414	366	99	22	3	13	40	82	1	7	0	270	344	454	798	183	309	20	10	348	82	—	—	—	—	—	—
2019	23	AAA MLE	3 teams	—	465	433	76	12	1	7	22	125	1	0	1	176	217	256	473	81	223	27	5	211	29	—	—	—	—	—	—
2019	23	AAA RAW	3 teams	—	465	421	89	14	1	8	34	95	1	0	1	211	272	306	578	95	248	20	7	259	29	—	—	—	—	—	—
2021	25	A+ MLE	Winston-Salem Dash	—	149	138	23	3	0	5	10	57	1	1	1	167	228	297	525	130	237	38	7	222	36	—	—	—	—	—	—
2021	25	A+ RAW	Winston-Salem Dash	—	149	133	29	4	0	6	15	41	1	1	1	218	302	383	685	165	267	28	10	309	36	—	—	—	—	—	—
2022	26	INTL MLE	Tiburones de La Guaira	—	15	13	3	0	0	0	1	3	0	0	0	231	286	231	516		273	20	7	—	—	—	—	—	—	—	—
2022	26	INTL RAW	Tiburones de La Guaira	—	15	13	3	0	0	0	1	3	0	0	0	231	286	231	516		273	20	7	228	40	—	—	—	—	—	—
2013	17	ROK MLE	AZL Royals	—	199	189	45	9	1	0	8	39	0	6	4	238	266	296	563	58	298	20	4	249	55	—	—	—	—	—	—
2014	18	A MLE	2 teams	—	298	285	68	14	3	1	11	53	0	6	3	239	269	319	588	81	284	18	4	251	56	—	—	—	—	—	—
2015	19	A MLE	Lexington Legends	—	396	376	95	11	4	1	15	46	2	11	5	253	289	311	601	59	281	12	4	262	63	—	—	—	—	—	—
2016	20	A MLE	4 teams	—	610	577	146	29	5	11	24	119	4	26	5	253	287	378	665	125	295	20	4	287	80	—	—	—	—	—	—
2017	21	AA MLE	2 teams	—	657	617	131	21	2	14	32	170	3	10	3	212	254	321	575	109	266	26	5	253	57	—	—	—	—	—	—
2018	22	AA MLE	3 teams	—	414	383	87	18	2	11	27	111	1	7	0	227	283	371	653	144	282	27	7	289	82	—	—	—	—	—	—
2019	23	AAA MLE	3 teams	—	465	439	76	12	1	7	22	125	1	0	1	173	217	253	470	80	218	27	5	211	29	—	—	—	—	—	—
2021	25	A+ MLE	Winston-Salem Dash	—	149	137	23	3	0	5	10	57	1	1	1	168	228	299	527	131	232	38	7	222	36	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	3203	3003	674	117	18	50	150	723	12	67	22	224	264	325	589	101	276	23	5	256	59	-155	+5	+0	-57	+69	-14.1
/ 162G	—	MLE		—	650	609	137	24	4	10	30	147	2	14	4	225	263	327	590	102	278	23	5	256	59	-31	+1	+0	-12	+14	-2.8

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.

2021 A+Winston-Salem Dash · 149 PAwOBA .301 → .222 (−78)K% 27.5% → 38.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.52%	÷0.974	×1.350	—	—	38.13%
BB% (unintentional) /PA	10.07%	÷1.079	×0.710	—	×0.978	6.48%
HBP% /PA	0.67%	—	×0.810	—	×0.978	0.53%
Singles /BIP	20.65%	÷1.000	×0.910	×0.995	×0.978	18.30%
Doubles /BIP	4.35%	÷0.976	×0.830	×0.995	×0.978	3.60%
Triples /BIP	0.00%	÷1.012	×0.820	×0.995	×0.978	0.00%
Home runs /BIP	6.52%	÷0.956	×0.830	—	×0.978	5.54%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 91, 1B 100, 2B 95, 3B 102, K 95, BB 116 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.995.

Result: wOBA .301 → .222; ISO .165 → .124; BABIP .267 → .232. 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 AAAOmaha Storm Chasers · 248 PAwOBA .272 → .215 (−56)K% 21.0% → 27.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.97%	÷0.971	×1.290	—	—	27.86%
BB% (unintentional) /PA	8.06%	÷1.065	×0.710	—	×1.050	5.65%
HBP% /PA	0.40%	—	×0.980	—	×1.050	0.41%
Singles /BIP	19.19%	÷1.024	×0.900	×0.958	×1.050	16.95%
Doubles /BIP	5.23%	÷0.973	×0.810	×0.958	×1.050	4.38%
Triples /BIP	0.00%	÷1.038	×0.810	×0.958	×1.050	0.00%
Home runs /BIP	3.49%	÷1.023	×0.780	—	×1.050	2.79%

Factors used: league row PCL. Park (home-season share, regressed): HR 105, 1B 105, 2B 95, 3B 108, K 94, BB 113 — 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 ×0.958.

Result: wOBA .272 → .215; ISO .121 → .093; BABIP .251 → .218. 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 AAChattanooga Lookouts · 183 PAwOBA .235 → .205 (−30)K% 20.2% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.22%	÷0.967	×1.220	—	—	25.51%
BB% (unintentional) /PA	4.92%	÷0.949	×0.680	—	×1.027	3.62%
HBP% /PA	0.00%	—	×0.840	—	×1.027	0.00%
Singles /BIP	20.31%	÷0.974	×0.920	×0.950	×1.027	18.71%
Doubles /BIP	3.91%	÷1.160	×0.910	×0.950	×1.027	2.99%
Triples /BIP	0.78%	÷0.900	×0.880	×0.950	×1.027	0.75%
Home runs /BIP	1.56%	÷0.979	×0.800	—	×1.027	1.31%

Factors used: league row SL. Park (home-season share, regressed): HR 96, 1B 95, 2B 132, 3B 80, K 93, BB 90 — 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 ×0.950.

Result: wOBA .235 → .205; ISO .079 → .066; BABIP .242 → .217. 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 AANorthwest Arkansas Naturals · 328 PAwOBA .353 → .294 (−59)K% 20.7% → 25.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.73%	÷0.979	×1.220	—	—	25.82%
BB% (unintentional) /PA	9.45%	÷1.049	×0.700	—	×1.042	6.57%
HBP% /PA	0.30%	—	×0.870	—	×1.042	0.28%
Singles /BIP	23.29%	÷1.046	×0.920	×0.985	×1.042	21.02%
Doubles /BIP	8.22%	÷1.113	×0.840	×0.985	×1.042	6.37%
Triples /BIP	0.91%	÷0.956	×0.940	×0.985	×1.042	0.92%
Home runs /BIP	4.57%	÷1.008	×0.800	—	×1.042	3.78%

Factors used: league row TL. Park (home-season share, regressed): HR 102, 1B 109, 2B 123, 3B 91, K 96, BB 110 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.985.

Result: wOBA .353 → .294; ISO .181 → .150; BABIP .332 → .287. 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 ROKAZL Royals · 24 PAwOBA .332 → .221 (−111)K% 29.2% → 42.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.17%	÷1.000	×1.440	—	—	42.00%
BB% (unintentional) /PA	8.33%	÷1.000	×0.620	—	×0.975	5.04%
HBP% /PA	0.00%	—	×0.720	—	×0.975	0.00%
Singles /BIP	14.29%	÷1.000	×0.820	—	×0.975	11.42%
Doubles /BIP	14.29%	÷1.000	×0.720	—	×0.975	10.03%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.975	0.00%
Home runs /BIP	7.14%	÷1.000	×0.780	—	×0.975	5.43%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).

Result: wOBA .332 → .221; ISO .238 → .159; BABIP .286 → .209. 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 AANorthwest Arkansas Naturals · 566 PAwOBA .306 → .253 (−53)K% 20.5% → 25.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.49%	÷0.967	×1.220	—	—	25.84%
BB% (unintentional) /PA	6.36%	÷0.982	×0.700	—	×1.050	4.76%
HBP% /PA	0.53%	—	×0.870	—	×1.050	0.48%
Singles /BIP	22.11%	÷1.051	×0.920	×1.021	×1.050	20.75%
Doubles /BIP	5.65%	÷1.091	×0.840	×1.021	×1.050	4.66%
Triples /BIP	0.49%	÷0.900	×0.940	×1.021	×1.050	0.55%
Home runs /BIP	4.18%	÷1.114	×0.800	—	×1.050	3.15%

Factors used: league row TL. Park (home-season share, regressed): HR 123, 1B 110, 2B 118, 3B 80, K 93, BB 96 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .306 → .253; ISO .149 → .113; BABIP .293 → .266. 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 ALexington Legends · 285 PAwOBA .317 → .267 (−50)K% 14.0% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.04%	÷1.026	×1.340	—	—	18.34%
BB% (unintentional) /PA	5.26%	÷1.177	×0.660	—	×1.030	3.04%
HBP% /PA	0.70%	—	×0.770	—	×1.030	0.56%
Singles /BIP	21.33%	÷0.965	×0.920	×1.015	×1.030	21.27%
Doubles /BIP	6.67%	÷1.113	×0.820	×1.015	×1.030	5.13%
Triples /BIP	1.33%	÷0.991	×0.940	×1.015	×1.030	1.32%
Home runs /BIP	2.67%	÷1.317	×0.820	—	×1.030	1.71%

Factors used: league row SAL. Park (home-season share, regressed): HR 164, 1B 93, 2B 123, 3B 98, K 105, BB 135 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.

Result: wOBA .317 → .267; ISO .147 → .108; BABIP .297 → .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).

2016 A+Wilmington Blue Rocks · 235 PAwOBA .358 → .317 (−41)K% 14.5% → 19.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.47%	÷1.051	×1.420	—	—	19.55%
BB% (unintentional) /PA	7.23%	÷1.014	×0.630	—	×1.042	4.68%
HBP% /PA	0.85%	—	×0.860	—	×1.042	0.76%
Singles /BIP	23.46%	÷1.024	×0.940	×0.987	×1.042	22.16%
Doubles /BIP	7.26%	÷0.920	×0.830	×0.987	×1.042	6.74%
Triples /BIP	1.12%	÷1.150	×0.800	×0.987	×1.042	0.80%
Home runs /BIP	3.91%	÷0.954	×0.900	—	×1.042	3.85%

Factors used: league row CAR. Park (home-season share, regressed): HR 91, 1B 105, 2B 84, 3B 130, K 110, BB 103 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.

Result: wOBA .358 → .317; ISO .178 → .164; BABIP .331 → .309. 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 — .