Eliezer Álvarez

Pos2B

B/TL/R

Born1994-10-15

Age (2027)32

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	24	AA/INTL2 orgs	462	.235/.333/.360	9	16	52	—	.179/.247/.269
2022	27	INTLAguilas Cibae…	26	.190/.346/.286	0	3	92	—
2023	28	INTLAguilas Cibae…	17	.188/.235/.312	0	0	50	—

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)
2012	17	ROK	DSL Cardinals	—	210	176	36	5	2	2	27	35	4	10	7	205	324	290	613	85	245	17	13	286	13	—	—	—	—	—	—
2013	18	ROK	GCL Cardinals	—	73	67	14	2	3	1	4	14	1	6	2	209	264	373	637	164	250	19	5	278	22	—	—	—	—	—	—
2014	19	ROK	GCL Cardinals	—	75	68	24	6	5	1	6	7	1	3	1	353	413	632	1.046	279	383	9	8	449	107	—	—	—	—	—	—
2015	20	ROK	Johnson City Cardinals	—	221	204	64	20	1	2	11	32	3	9	4	314	358	451	809	137	358	14	5	355	70	—	—	—	—	—	—
2016	21	A	Peoria Chiefs	—	499	433	140	36	6	6	53	96	8	36	15	323	407	476	883	152	400	19	11	390	109	—	—	—	—	—	—
2017	22	AA	Springfield Cardinals	—	209	186	46	11	1	4	16	56	5	8	3	247	324	382	705	134	328	27	8	316	63	—	—	—	—	—	—
2017	22	ROK	GCL Cardinals	—	27	24	6	2	0	1	2	3	0	1	0	250	308	458	766	208	238	11	7	324	49	—	—	—	—	—	—
2017	22	INTL	Leones del Escogido	—	28	23	3	0	0	0	4	8	1	1	1	130	286	130	416		200	29	14	223	37	—	—	—	—	—	—
2018	23	AA	Frisco RoughRiders	—	460	408	93	17	6	12	42	124	2	26	2	228	302	387	690	159	295	27	9	304	49	—	—	—	—	—	—
2019	24	AA	Frisco RoughRiders	—	403	352	81	14	2	9	49	123	0	12	8	230	324	358	682	128	326	31	12	310	42	—	—	—	—	—	—
2019	24	INTL	Leones del Escogido	—	59	48	13	3	1	0	9	15	1	4	0	271	397	375	772	104	382	25	15	350	123	—	—	—	—	—	—
2022	27	INTL	Aguilas Cibaenas	—	26	21	4	0	1	0	3	6	2	3	0	190	346	286	632	95	267	23	12	304	92	—	—	—	—	—	—
2023	28	INTL	Aguilas Cibaenas	—	17	16	3	0	1	0	1	5	0	0	0	188	235	312	548	125	273	29	6	242	50	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	17	ROK MLE	DSL Cardinals	—	210	184	24	3	1	1	19	43	4	10	7	130	227	174	401	43	159	20	9	187	13	—	—	—	—	—	—
2013	18	ROK MLE	GCL Cardinals	—	73	69	10	1	2	1	2	20	1	6	2	145	181	261	441	116	206	27	3	200	22	—	—	—	—	—	—
2014	19	ROK MLE	GCL Cardinals	—	75	70	19	4	4	1	4	10	1	3	1	271	320	486	806	214	299	13	5	326	107	—	—	—	—	—	—
2015	20	ROK MLE	Johnson City Cardinals	—	221	208	52	15	1	2	7	46	3	9	4	250	284	361	645	111	296	21	3	271	70	—	—	—	—	—	—
2016	21	A MLE	Peoria Chiefs	—	499	450	127	31	5	4	36	126	8	36	15	282	346	400	746	118	374	25	7	330	109	—	—	—	—	—	—
2017	22	AA MLE	Springfield Cardinals	—	209	191	41	9	1	2	11	69	5	8	3	215	275	304	579	89	315	33	5	261	63	—	—	—	—	—	—
2017	22	ROK MLE	GCL Cardinals	—	27	25	4	1	0	1	1	4	0	1	0	160	192	320	512	160	177	15	4	241	49	—	—	—	—	—	—
2018	23	AA MLE	Frisco RoughRiders	—	460	422	80	14	5	8	29	164	2	26	2	190	245	303	548	114	278	36	6	241	49	—	—	—	—	—	—
2019	24	AA MLE	Frisco RoughRiders	—	403	368	66	11	2	6	33	152	0	12	8	179	247	269	516	90	282	38	8	230	42	—	—	—	—	—	—
2012	17	ROK MLE	DSL Cardinals	—	210	184	24	3	1	1	19	43	4	10	7	130	227	174	401	43	164	20	9	187	13	—	—	—	—	—	—
2012	17	ROK RAW	DSL Cardinals	—	210	176	36	5	2	2	27	35	4	10	7	205	324	290	613	85	245	17	13	286	13	—	—	—	—	—	—
2013	18	ROK MLE	GCL Cardinals	—	73	69	10	1	2	1	2	20	1	6	2	145	181	261	441	116	188	27	3	200	22	—	—	—	—	—	—
2013	18	ROK RAW	GCL Cardinals	—	73	67	14	2	3	1	4	14	1	6	2	209	264	373	637	164	250	19	5	278	22	—	—	—	—	—	—
2014	19	ROK MLE	GCL Cardinals	—	75	70	19	4	4	1	4	10	1	3	1	271	320	486	806	214	305	13	5	326	107	—	—	—	—	—	—
2014	19	ROK RAW	GCL Cardinals	—	75	68	24	6	5	1	6	7	1	3	1	353	413	632	1.046	279	383	9	8	449	107	—	—	—	—	—	—
2015	20	ROK MLE	Johnson City Cardinals	—	221	208	52	15	1	2	7	46	3	9	4	250	284	361	645	111	307	21	3	271	70	—	—	—	—	—	—
2015	20	ROK RAW	Johnson City Cardinals	—	221	204	64	20	1	2	11	32	3	9	4	314	358	451	809	137	358	14	5	355	70	—	—	—	—	—	—
2016	21	A MLE	Peoria Chiefs	—	499	450	127	31	5	4	36	126	8	36	15	282	346	400	746	118	380	25	7	330	109	—	—	—	—	—	—
2016	21	A RAW	Peoria Chiefs	—	499	433	140	36	6	6	53	96	8	36	15	323	407	476	883	152	400	19	11	390	109	—	—	—	—	—	—
2017	22	AA MLE	3 teams	—	264	241	52	12	1	4	14	82	6	10	4	216	276	324	600	108	304	31	5	259	61	—	—	—	—	—	—
2017	22	AA RAW	3 teams	—	264	233	55	13	1	5	22	67	6	10	4	236	318	365	683	129	305	25	8	307	61	—	—	—	—	—	—
2018	23	AA MLE	Frisco RoughRiders	—	460	422	80	14	5	8	29	164	2	26	2	190	245	303	548	114	285	36	6	241	49	—	—	—	—	—	—
2018	23	AA RAW	Frisco RoughRiders	—	460	408	93	17	6	12	42	124	2	26	2	228	302	387	690	159	295	27	9	304	49	—	—	—	—	—	—
2019	24	AA MLE	2 teams	—	462	420	75	13	2	6	38	175	1	16	8	179	248	262	510	83	286	38	8	230	42	—	—	—	—	—	—
2019	24	AA RAW	2 teams	—	462	400	94	17	3	9	58	138	1	16	8	235	333	360	693	125	333	30	13	315	42	—	—	—	—	—	—
2022	27	INTL MLE	Aguilas Cibaenas	—	26	21	4	0	1	0	3	6	2	3	0	190	346	286	632	95	267	23	12	—	—	—	—	—	—	—	—
2022	27	INTL RAW	Aguilas Cibaenas	—	26	21	4	0	1	0	3	6	2	3	0	190	346	286	632	95	267	23	12	304	92	—	—	—	—	—	—
2023	28	INTL MLE	Aguilas Cibaenas	—	17	16	3	0	1	0	1	5	0	0	0	188	235	312	548	125	273	29	6	—	—	—	—	—	—	—	—
2023	28	INTL RAW	Aguilas Cibaenas	—	17	16	3	0	1	0	1	5	0	0	0	188	235	312	548	125	273	29	6	242	50	—	—	—	—	—	—
2012	17	ROK MLE	DSL Cardinals	—	210	185	24	3	1	1	19	43	4	10	7	130	227	173	400	43	159	20	9	187	13	—	—	—	—	—	—
2013	18	ROK MLE	GCL Cardinals	—	73	70	10	1	2	1	2	20	1	6	2	143	181	257	438	114	206	27	3	200	22	—	—	—	—	—	—
2014	19	ROK MLE	GCL Cardinals	—	75	70	19	4	4	1	4	10	1	3	1	271	320	486	806	214	299	13	5	326	107	—	—	—	—	—	—
2015	20	ROK MLE	Johnson City Cardinals	—	221	209	52	15	1	2	7	46	3	9	4	249	284	359	643	110	296	21	3	271	70	—	—	—	—	—	—
2016	21	A MLE	Peoria Chiefs	—	499	452	127	31	5	4	36	126	8	36	15	281	346	398	744	117	374	25	7	330	109	—	—	—	—	—	—
2017	22	AA MLE	3 teams	—	264	242	52	12	1	4	14	82	6	10	4	215	276	322	598	107	299	31	5	259	61	—	—	—	—	—	—
2018	23	AA MLE	Frisco RoughRiders	—	460	426	80	14	5	8	29	164	2	26	2	188	245	300	546	113	278	36	6	241	49	—	—	—	—	—	—
2019	24	AA MLE	2 teams	—	462	420	75	13	2	6	38	175	1	16	8	179	248	262	510	83	282	38	8	230	42	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2307	2101	446	93	23	27	153	677	28	119	43	212	275	317	592	105	297	29	7	255	59	-113	+7	+0	+8	+50	-4.9
/ 162G	—	MLE		—	650	592	125	26	6	8	43	191	8	34	12	211	274	316	590	105	295	29	7	255	59	-32	+2	+0	+2	+14	-1.4

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.

2019 AAFrisco RoughRiders · 403 PAwOBA .303 → .230 (−73)K% 30.5% → 37.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.52%	÷0.986	×1.220	—	—	37.78%
BB% (unintentional) /PA	12.16%	÷1.032	×0.700	—	×0.998	8.23%
HBP% /PA	0.00%	—	×0.870	—	×0.998	0.00%
Singles /BIP	24.45%	÷0.983	×0.920	×0.950	×0.998	21.71%
Doubles /BIP	6.11%	÷0.960	×0.840	×0.950	×0.998	5.07%
Triples /BIP	0.87%	÷0.900	×0.940	×0.950	×0.998	0.86%
Home runs /BIP	3.93%	÷1.208	×0.800	—	×0.998	2.60%

Factors used: league row TL. Park (home-season share, regressed): HR 142, 1B 97, 2B 92, 3B 80, K 97, BB 106 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .303 → .230; ISO .128 → .090; BABIP .326 → .282. 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 AAFrisco RoughRiders · 460 PAwOBA .298 → .241 (−57)K% 27.0% → 35.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.96%	÷0.922	×1.220	—	—	35.65%
BB% (unintentional) /PA	9.13%	÷1.021	×0.700	—	×1.012	6.34%
HBP% /PA	0.43%	—	×0.870	—	×1.012	0.38%
Singles /BIP	20.42%	÷0.988	×0.920	×1.044	×1.012	20.09%
Doubles /BIP	5.99%	÷0.993	×0.840	×1.044	×1.012	5.35%
Triples /BIP	2.11%	÷1.150	×0.940	×1.044	×1.012	1.82%
Home runs /BIP	4.23%	÷1.088	×0.800	—	×1.012	3.14%

Factors used: league row TL. Park (home-season share, regressed): HR 118, 1B 98, 2B 99, 3B 130, K 84, BB 104 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.044.

Result: wOBA .298 → .241; ISO .159 → .120; BABIP .295 → .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).

2017 AASpringfield Cardinals · 209 PAwOBA .311 → .261 (−50)K% 26.8% → 33.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.79%	÷0.990	×1.220	—	—	33.02%
BB% (unintentional) /PA	7.66%	÷1.048	×0.700	—	×1.027	5.25%
HBP% /PA	2.39%	—	×0.870	—	×1.027	2.14%
Singles /BIP	23.08%	÷0.992	×0.920	×1.050	×1.027	23.08%
Doubles /BIP	8.46%	÷1.009	×0.840	×1.050	×1.027	7.60%
Triples /BIP	0.77%	÷1.093	×0.940	×1.050	×1.027	0.71%
Home runs /BIP	3.08%	÷1.315	×0.800	—	×1.027	1.92%

Factors used: league row TL. Park (home-season share, regressed): HR 163, 1B 98, 2B 102, 3B 119, K 98, BB 110 — 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 ×1.050.

Result: wOBA .311 → .261; ISO .134 → .099; BABIP .328 → .315. 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 ROKGCL Cardinals · 27 PAwOBA .327 → .241 (−86)K% 11.1% → 16.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.11%	÷1.000	×1.440	—	—	16.00%
BB% (unintentional) /PA	7.41%	÷1.000	×0.620	—	×0.965	4.43%
HBP% /PA	0.00%	—	×0.720	—	×0.965	0.00%
Singles /BIP	14.29%	÷1.000	×0.820	—	×0.965	11.30%
Doubles /BIP	9.52%	÷1.000	×0.720	—	×0.965	6.62%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.965	0.00%
Home runs /BIP	4.76%	÷1.000	×0.780	—	×0.965	3.58%

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 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average).

Result: wOBA .327 → .241; ISO .208 → .155; BABIP .238 → .177. 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 APeoria Chiefs · 499 PAwOBA .380 → .330 (−51)K% 19.2% → 25.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.24%	÷1.033	×1.360	—	—	25.32%
BB% (unintentional) /PA	9.82%	÷0.938	×0.690	—	—	7.22%
HBP% /PA	1.60%	—	×0.780	—	—	1.25%
Singles /BIP	27.30%	÷0.999	×0.920	×1.050	—	26.39%
Doubles /BIP	10.68%	÷1.000	×0.830	×1.050	—	9.31%
Triples /BIP	1.78%	÷1.029	×0.910	×1.050	—	1.65%
Home runs /BIP	1.78%	÷1.066	×0.800	—	—	1.34%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 113, 1B 100, 2B 100, 3B 106, K 107, BB 88 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .380 → .330; ISO .152 → .127; BABIP .400 → .374. 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 ROKJohnson City Cardinals · 221 PAwOBA .350 → .271 (−79)K% 14.5% → 20.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.48%	÷1.000	×1.420	—	—	20.56%
BB% (unintentional) /PA	4.98%	÷1.000	×0.640	—	×0.985	3.14%
HBP% /PA	1.36%	—	×0.740	—	×0.985	0.99%
Singles /BIP	23.84%	÷1.000	×0.840	×1.044	×0.985	20.59%
Doubles /BIP	11.63%	÷1.000	×0.740	×1.044	×0.985	8.85%
Triples /BIP	0.58%	÷1.000	×0.740	×1.044	×0.985	0.44%
Home runs /BIP	1.16%	÷1.000	×0.800	—	×0.985	0.92%

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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.044.

Result: wOBA .350 → .271; ISO .137 → .102; BABIP .358 → .296. 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 ROKGCL Cardinals · 75 PAwOBA .437 → .326 (−111)K% 9.3% → 13.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.33%	÷1.000	×1.440	—	—	13.44%
BB% (unintentional) /PA	8.00%	÷1.000	×0.620	—	×0.995	4.94%
HBP% /PA	1.33%	—	×0.720	—	×0.995	0.96%
Singles /BIP	19.67%	÷1.000	×0.820	×1.020	×0.995	16.37%
Doubles /BIP	9.84%	÷1.000	×0.720	×1.020	×0.995	7.19%
Triples /BIP	8.20%	÷1.000	×0.720	×1.020	×0.995	5.99%
Home runs /BIP	1.64%	÷1.000	×0.780	—	×0.995	1.27%

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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.020.

Result: wOBA .437 → .326; ISO .279 → .205; BABIP .383 → .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).

2013 ROKGCL Cardinals · 73 PAwOBA .270 → .200 (−71)K% 19.2% → 27.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.18%	÷1.000	×1.440	—	—	27.62%
BB% (unintentional) /PA	5.48%	÷1.000	×0.620	—	×1.008	3.42%
HBP% /PA	1.37%	—	×0.720	—	×1.008	0.99%
Singles /BIP	15.09%	÷1.000	×0.820	×1.050	×1.008	13.09%
Doubles /BIP	3.77%	÷1.000	×0.720	×1.050	×1.008	2.87%
Triples /BIP	5.66%	÷1.000	×0.720	×1.050	×1.008	4.31%
Home runs /BIP	1.89%	÷1.000	×0.780	—	×1.008	1.48%

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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .270 → .200; ISO .164 → .118; BABIP .250 → .206. 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 — .