Alfredo González

PosC

B/TR/R

Born1992-07-13

Age (2027)35

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2021

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	27	AAA/AA/INTL2 orgs	329	.234/.341/.327	4	1	63	—	.199/.272/.272
2020	28	INTLLeones del Ca…	39	.257/.316/.400	1	0	97	—
2021	29	INTLLeones del Ca…	38	.194/.194/.417	2	0	54	—

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
2009	17	ROK	DSL Astros	—	104	90	15	3	1	0	13	21	1	5	3	167	279	222	501	56	217	20	12	243	-1	—	—	—	—	—	—
2011	19	ROK	GCL Astros	—	102	93	16	3	3	0	3	20	1	3	3	172	206	269	475	97	213	20	3	202	-15	—	—	—	—	—	—
2012	20	ROK	GCL Astros	—	98	90	22	3	1	0	3	10	4	5	0	244	299	300	599	56	275	10	3	273	21	—	—	—	—	—	—
2013	21	ROK	Greeneville Astros	—	120	104	25	4	1	2	14	24	2	5	1	240	342	356	697	115	295	20	12	320	36	—	—	—	—	—	—
2015	23	AA	Corpus Christi Hooks	—	121	100	30	2	0	0	17	21	0	0	0	300	402	320	722	20	370	17	14	329	89	—	—	—	—	—	—
2015	23	A+	Lancaster JetHawks	—	116	106	36	3	0	2	9	22	0	3	1	340	391	425	816	85	410	19	8	365	93	—	—	—	—	—	—
2015	23	A	Quad Cities River Bandits	—	57	43	14	1	1	0	11	8	2	2	0	326	482	395	877	70	400	14	19	402	112	—	—	—	—	—	—
2016	24	AA	Birmingham Barons	—	314	281	63	11	1	0	24	62	5	2	0	224	297	270	567	46	285	20	8	262	45	—	—	—	—	—	—
2016	24	INTL	Leones del Caracas	—	28	25	5	1	0	0	3	5	0	0	1	200	286	240	526	40	250	18	11	250	55	—	—	—	—	—	—
2017	25	AA	Birmingham Barons	—	249	216	45	6	1	4	29	41	2	4	4	208	308	301	609	93	238	16	12	282	47	—	—	—	—	—	—
2018	26	AAA	Charlotte Knights	—	126	109	21	2	0	0	13	37	2	0	0	193	290	211	501	18	288	29	10	240	23	—	—	—	—	—	—
2018	26	AA	Birmingham Barons	—	112	104	31	6	0	2	6	26	1	2	1	298	342	413	756	115	382	23	5	336	75	—	—	—	—	—	—
2019	27	AAA	Charlotte Knights	—	49	44	9	1	0	1	5	12	0	0	0	205	286	295	581	91	258	24	10	269	22	—	—	—	—	—	—
2019	27	AA	Birmingham Barons	—	195	164	39	10	0	1	26	40	0	0	3	238	342	317	659	79	304	21	13	299	51	—	—	—	—	—	—
2019	27	INTL	Leones del Caracas	—	85	70	17	3	0	2	12	18	2	1	0	243	369	371	740	129	300	21	14	338	115	—	—	—	—	—	—
2020	28	INTL	Leones del Caracas	—	39	35	9	0	1	1	3	2	0	0	0	257	316	400	716	143	242	5	8	311	97	—	—	—	—	—	—
2021	29	INTL	Leones del Caracas	—	38	36	7	2	0	2	0	9	0	0	0	194	194	417	611	222	192	24	0	249	54	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	17	ROK MLE	DSL Astros	—	104	94	11	2	1	0	9	26	1	5	3	117	202	160	361	43	153	25	9	166	-1	—	—	—	—	—	—
2011	19	ROK MLE	GCL Astros	—	102	94	12	2	2	0	2	29	1	3	3	128	155	191	346	64	165	28	2	146	-15	—	—	—	—	—	—
2012	20	ROK MLE	GCL Astros	—	98	91	17	2	1	0	2	14	4	5	0	187	237	231	468	44	215	14	2	199	21	—	—	—	—	—	—
2013	21	ROK MLE	Greeneville Astros	—	120	109	19	3	1	1	9	34	2	5	1	174	250	248	498	73	231	28	8	222	36	—	—	—	—	—	—
2015	23	AA MLE	Corpus Christi Hooks	—	121	105	30	2	0	0	12	27	0	0	0	286	359	305	664	19	359	22	10	300	89	—	—	—	—	—	—
2015	23	A+ MLE	Lancaster JetHawks	—	116	109	32	2	0	2	6	32	0	3	1	294	330	367	697	73	391	28	5	306	93	—	—	—	—	—	—
2015	23	A MLE	Quad Cities River Bandits	—	57	47	14	1	1	0	7	11	2	2	0	298	411	362	772	64	366	19	12	334	112	—	—	—	—	—	—
2016	24	AA MLE	Birmingham Barons	—	314	288	62	12	1	0	17	76	5	2	0	215	271	264	535	49	279	24	5	234	45	—	—	—	—	—	—
2017	25	AA MLE	Birmingham Barons	—	249	225	44	6	1	4	20	51	2	4	4	196	267	284	552	89	224	20	8	238	47	—	—	—	—	—	—
2018	26	AAA MLE	Charlotte Knights	—	126	113	20	2	0	0	9	45	2	0	0	177	250	195	445	18	274	36	7	202	23	—	—	—	—	—	—
2018	26	AA MLE	Birmingham Barons	—	112	106	28	6	0	2	4	31	1	2	1	264	297	377	675	113	345	28	4	279	75	—	—	—	—	—	—
2019	27	AAA MLE	Charlotte Knights	—	49	46	8	1	0	1	3	15	0	0	0	174	224	261	485	87	225	31	6	201	22	—	—	—	—	—	—
2019	27	AA MLE	Birmingham Barons	—	195	171	35	9	0	1	19	48	0	0	3	205	284	275	559	70	258	25	10	243	51	—	—	—	—	—	—
2009	17	ROK MLE	DSL Astros	—	104	94	11	2	1	0	9	26	1	5	3	117	202	160	361	43	162	25	9	166	-1	—	—	—	—	—	—
2009	17	ROK RAW	DSL Astros	—	104	90	15	3	1	0	13	21	1	5	3	167	279	222	501	56	217	20	12	243	-1	—	—	—	—	—	—
2011	19	ROK MLE	GCL Astros	—	102	94	12	2	2	0	2	29	1	3	3	128	155	191	346	64	179	28	2	146	-15	—	—	—	—	—	—
2011	19	ROK RAW	GCL Astros	—	102	93	16	3	3	0	3	20	1	3	3	172	206	269	475	97	213	20	3	202	-15	—	—	—	—	—	—
2012	20	ROK MLE	GCL Astros	—	98	91	17	2	1	0	2	14	4	5	0	187	237	231	468	44	221	14	2	199	21	—	—	—	—	—	—
2012	20	ROK RAW	GCL Astros	—	98	90	22	3	1	0	3	10	4	5	0	244	299	300	599	56	275	10	3	273	21	—	—	—	—	—	—
2013	21	ROK MLE	Greeneville Astros	—	120	109	19	3	1	1	9	34	2	5	1	174	250	248	498	73	243	28	8	222	36	—	—	—	—	—	—
2013	21	ROK RAW	Greeneville Astros	—	120	104	25	4	1	2	14	24	2	5	1	240	342	356	697	115	295	20	12	320	36	—	—	—	—	—	—
2015	23	AA MLE	3 teams	—	294	260	76	5	1	2	26	70	2	5	1	292	361	342	703	50	387	24	9	309	95	—	—	—	—	—	—
2015	23	AA RAW	3 teams	—	294	249	80	6	1	2	37	51	2	5	1	321	413	378	791	56	392	17	13	357	95	—	—	—	—	—	—
2016	24	AA MLE	2 teams	—	342	315	67	13	1	0	18	83	5	2	1	213	266	260	527	48	286	24	5	234	45	—	—	—	—	—	—
2016	24	AA RAW	2 teams	—	342	306	68	12	1	0	27	67	5	2	1	222	296	268	564	46	282	20	8	261	45	—	—	—	—	—	—
2017	25	AA MLE	Birmingham Barons	—	249	225	44	6	1	4	20	51	2	4	4	196	267	284	552	89	234	20	8	238	47	—	—	—	—	—	—
2017	25	AA RAW	Birmingham Barons	—	249	216	45	6	1	4	29	41	2	4	4	208	308	301	609	93	238	16	12	282	47	—	—	—	—	—	—
2018	26	AAA MLE	2 teams	—	238	219	47	7	0	2	13	76	3	2	1	215	268	274	542	59	317	32	5	238	47	—	—	—	—	—	—
2018	26	AAA RAW	2 teams	—	238	213	52	8	0	2	19	63	3	2	1	244	315	310	625	66	336	26	8	285	47	—	—	—	—	—	—
2019	27	AA MLE	3 teams	—	329	292	56	13	0	2	29	85	2	1	3	192	269	257	526	65	261	26	9	235	45	—	—	—	—	—	—
2019	27	AA RAW	3 teams	—	329	278	65	14	0	4	43	70	2	1	3	234	341	327	668	94	296	21	13	305	45	—	—	—	—	—	—
2020	28	INTL MLE	Leones del Caracas	—	39	35	9	0	1	1	3	2	0	0	0	257	316	400	716	143	242	5	8	—	—	—	—	—	—	—	—
2020	28	INTL RAW	Leones del Caracas	—	39	35	9	0	1	1	3	2	0	0	0	257	316	400	716	143	242	5	8	311	97	—	—	—	—	—	—
2021	29	INTL MLE	Leones del Caracas	—	38	36	7	2	0	2	0	9	0	0	0	194	194	417	611	222	192	24	0	—	—	—	—	—	—	—	—
2021	29	INTL RAW	Leones del Caracas	—	38	36	7	2	0	2	0	9	0	0	0	194	194	417	611	222	192	24	0	249	54	—	—	—	—	—	—
2009	17	ROK MLE	DSL Astros	—	104	93	11	2	1	0	9	26	1	5	3	118	202	161	363	43	153	25	9	166	-1	—	—	—	—	—	—
2011	19	ROK MLE	GCL Astros	—	102	98	12	2	2	0	2	29	1	3	3	122	155	184	338	61	165	28	2	146	-15	—	—	—	—	—	—
2012	20	ROK MLE	GCL Astros	—	98	92	17	2	1	0	2	14	4	5	0	185	237	228	465	43	215	14	2	199	21	—	—	—	—	—	—
2013	21	ROK MLE	Greeneville Astros	—	120	108	19	3	1	1	9	34	2	5	1	176	250	250	500	74	231	28	8	222	36	—	—	—	—	—	—
2015	23	AA MLE	3 teams	—	294	264	76	5	1	2	26	70	2	5	1	288	361	337	698	49	373	24	9	309	95	—	—	—	—	—	—
2016	24	AA MLE	2 teams	—	342	316	67	13	1	0	18	83	5	2	1	212	266	259	526	47	279	24	5	234	45	—	—	—	—	—	—
2017	25	AA MLE	Birmingham Barons	—	249	225	44	6	1	4	20	51	2	4	4	196	267	284	552	89	224	20	8	238	47	—	—	—	—	—	—
2018	26	AAA MLE	2 teams	—	238	220	47	7	0	2	13	76	3	2	1	214	268	273	541	59	307	32	5	238	47	—	—	—	—	—	—
2019	27	AA MLE	3 teams	—	329	295	56	13	0	2	29	85	2	1	3	190	269	254	524	64	251	26	9	235	45	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1953	1770	365	55	9	14	131	479	22	32	17	206	269	271	541	65	272	25	7	226	39	-141	-0	-0	+35	+42	-6.6
/ 162G	—	MLE		—	650	589	122	18	3	5	44	159	7	11	6	207	270	273	544	66	273	24	7	226	39	-47	-0	-0	+12	+14	-2.2

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 AABirmingham Barons · 195 PAwOBA .296 → .243 (−52)K% 20.5% → 24.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.51%	÷1.007	×1.220	—	—	24.85%
BB% (unintentional) /PA	13.33%	÷0.929	×0.680	—	×0.978	9.54%
HBP% /PA	0.00%	—	×0.840	—	×0.978	0.00%
Singles /BIP	22.58%	÷0.998	×0.920	×0.950	×0.978	19.33%
Doubles /BIP	8.06%	÷1.009	×0.910	×0.950	×0.978	6.75%
Triples /BIP	0.00%	÷1.150	×0.880	×0.950	×0.978	0.00%
Home runs /BIP	0.81%	÷0.993	×0.800	—	×0.978	0.64%

Factors used: league row SL. Park (home-season share, regressed): HR 99, 1B 100, 2B 102, 3B 130, K 101, BB 86 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .296 → .243; ISO .079 → .068; BABIP .304 → .258. 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 AAACharlotte Knights · 49 PAwOBA .262 → .201 (−61)K% 24.5% → 30.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.49%	÷0.962	×1.200	—	—	30.56%
BB% (unintentional) /PA	10.20%	÷1.077	×0.690	—	×1.003	6.56%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	21.88%	÷1.061	×0.930	—	×1.003	19.23%
Doubles /BIP	3.12%	÷0.921	×0.830	—	×1.003	2.82%
Triples /BIP	0.00%	÷0.900	×0.970	—	×1.003	0.00%
Home runs /BIP	3.12%	÷1.212	×0.840	—	×1.003	2.17%

Factors used: league row IL. Park (home-season share, regressed): HR 142, 1B 112, 2B 84, 3B 80, K 92, 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 .262 → .201; ISO .091 → .065; BABIP .258 → .225. 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 AAACharlotte Knights · 126 PAwOBA .237 → .202 (−35)K% 29.4% → 35.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.37%	÷0.986	×1.200	—	—	35.72%
BB% (unintentional) /PA	10.32%	÷1.030	×0.690	—	×1.018	7.03%
HBP% /PA	1.59%	—	×0.940	—	×1.018	1.52%
Singles /BIP	26.39%	÷1.030	×0.930	×1.050	×1.018	25.46%
Doubles /BIP	2.78%	÷1.077	×0.830	×1.050	×1.018	2.29%
Triples /BIP	0.00%	÷1.150	×0.970	×1.050	×1.018	0.00%
Home runs /BIP	0.00%	÷1.319	×0.840	—	×1.018	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 164, 1B 106, 2B 115, 3B 130, K 97, BB 106 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .237 → .202; ISO .018 → .015; BABIP .288 → .274. 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 AABirmingham Barons · 112 PAwOBA .327 → .279 (−48)K% 23.2% → 28.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.21%	÷1.006	×1.220	—	—	28.14%
BB% (unintentional) /PA	5.36%	÷0.954	×0.680	—	×0.988	3.77%
HBP% /PA	0.89%	—	×0.840	—	×0.988	0.74%
Singles /BIP	29.49%	÷1.069	×0.920	×1.048	×0.988	26.26%
Doubles /BIP	7.69%	÷0.969	×0.910	×1.048	×0.988	7.48%
Triples /BIP	0.00%	÷1.150	×0.880	×1.048	×0.988	0.00%
Home runs /BIP	2.56%	÷0.949	×0.800	—	×0.988	2.14%

Factors used: league row SL. Park (home-season share, regressed): HR 90, 1B 114, 2B 94, 3B 130, K 101, BB 91 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.048.

Result: wOBA .327 → .279; ISO .115 → .101; BABIP .382 → .345. 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 AABirmingham Barons · 249 PAwOBA .276 → .238 (−38)K% 16.5% → 20.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.47%	÷0.980	×1.220	—	—	20.51%
BB% (unintentional) /PA	11.65%	÷1.001	×0.680	—	×0.998	7.90%
HBP% /PA	0.80%	—	×0.840	—	×0.998	0.67%
Singles /BIP	19.43%	÷1.009	×0.920	×1.042	×0.998	18.42%
Doubles /BIP	3.43%	÷1.021	×0.910	×1.042	×0.998	3.18%
Triples /BIP	0.57%	÷1.086	×0.880	×1.042	×0.998	0.48%
Home runs /BIP	2.29%	÷0.894	×0.800	—	×0.998	2.04%

Factors used: league row SL. Park (home-season share, regressed): HR 79, 1B 102, 2B 104, 3B 117, K 96, BB 100 — 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 ×1.042.

Result: wOBA .276 → .238; ISO .093 → .084; BABIP .238 → .224. 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 AABirmingham Barons · 314 PAwOBA .257 → .234 (−23)K% 19.7% → 24.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.75%	÷0.991	×1.220	—	—	24.30%
BB% (unintentional) /PA	7.64%	÷0.990	×0.680	—	×1.012	5.31%
HBP% /PA	1.59%	—	×0.840	—	×1.012	1.35%
Singles /BIP	23.29%	÷1.004	×0.920	×1.038	×1.012	22.40%
Doubles /BIP	5.02%	÷0.897	×0.910	×1.038	×1.012	5.35%
Triples /BIP	0.46%	÷1.150	×0.880	×1.038	×1.012	0.37%
Home runs /BIP	0.00%	÷0.918	×0.800	—	×1.012	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 84, 1B 101, 2B 79, 3B 130, K 98, BB 98 — 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 ×1.038.

Result: wOBA .257 → .234; ISO .046 → .047; BABIP .285 → .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).

2015 AACorpus Christi Hooks · 121 PAwOBA .327 → .300 (−26)K% 17.4% → 22.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.36%	÷0.964	×1.220	—	—	21.97%
BB% (unintentional) /PA	14.05%	÷1.003	×0.700	—	×1.027	10.07%
HBP% /PA	0.00%	—	×0.870	—	×1.027	0.00%
Singles /BIP	35.44%	÷1.022	×0.920	×1.050	×1.027	34.40%
Doubles /BIP	2.53%	÷0.963	×0.840	×1.050	×1.027	2.38%
Triples /BIP	0.00%	÷0.900	×0.940	×1.050	×1.027	0.00%
Home runs /BIP	0.00%	÷1.059	×0.800	—	×1.027	0.00%

Factors used: league row TL. Park (home-season share, regressed): HR 112, 1B 104, 2B 93, 3B 80, K 93, BB 101 — 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 .327 → .300; ISO .020 → .020; BABIP .370 → .359. 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 A+Lancaster JetHawks · 116 PAwOBA .359 → .306 (−52)K% 19.0% → 27.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.97%	÷0.924	×1.340	—	—	27.51%
BB% (unintentional) /PA	7.76%	÷1.031	×0.710	—	×0.998	5.33%
HBP% /PA	0.00%	—	×0.790	—	×0.998	0.00%
Singles /BIP	36.90%	÷0.985	×0.910	×1.048	×0.998	35.68%
Doubles /BIP	3.57%	÷1.005	×0.820	×1.048	×0.998	3.05%
Triples /BIP	0.00%	÷1.150	×0.760	×1.048	×0.998	0.00%
Home runs /BIP	2.38%	÷0.964	×0.920	—	×0.998	2.27%

Factors used: league row CAL. Park (home-season share, regressed): HR 93, 1B 97, 2B 101, 3B 130, K 85, BB 106 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.048.

Result: wOBA .359 → .306; ISO .085 → .072; BABIP .410 → .391. 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 — .