Gioskar Amaya

PosC

B/TR/R

Born1992-12-13

Age (2027)34

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	23	AA/A+/INTL3 orgs	386	.241/.314/.377	7	4	54	—	.165/.229/.252
2017	24	INTLNavegantes de…	33	.286/.355/.393	0	0	102	—
2019	26	AA/INTL2 orgs	385	.248/.307/.359	4	1	52	—	.188/.230/.261

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)
2010	17	ROK	DSL Cubs 1	—	285	238	67	8	3	1	28	33	10	18	8	282	380	353	733	71	317	12	10	329	36	—	—	—	—	—	—
2011	18	ROK	AZL Cubs	—	227	204	77	11	8	0	13	39	3	13	8	377	423	510	933	132	458	17	6	400	97	—	—	—	—	—	—
2013	20	A	Kane County Cougars	—	516	453	114	26	6	5	42	108	13	13	6	252	333	369	701	117	316	21	8	314	49	—	—	—	—	—	—
2014	21	A+	Daytona Cubs	—	435	369	102	16	3	4	53	90	9	14	7	276	381	369	749	92	354	21	12	342	73	—	—	—	—	—	—
2015	22	A	South Bend Cubs	—	456	400	104	18	2	4	44	73	6	17	5	260	342	345	687	85	308	16	10	312	49	—	—	—	—	—	—
2015	22	INTL	Tigres de Aragua	—	44	40	9	2	1	0	3	8	0	0	0	225	279	325	604	100	273	18	7	266	66	—	—	—	—	—	—
2016	23	AA	Tennessee Smokies	—	146	131	24	2	1	1	13	43	2	0	1	183	267	237	504	53	264	29	9	239	11	—	—	—	—	—	—
2016	23	A+	Myrtle Beach Pelicans	—	168	143	35	9	1	5	20	36	1	4	1	245	341	427	768	182	286	21	12	336	51	—	—	—	—	—	—
2016	23	INTL	Tigres de Aragua	—	72	71	24	9	1	1	0	18	1	0	1	338	347	535	882	197	442	25	0	385	147	—	—	—	—	—	—
2017	24	INTL	Navegantes del Magallanes	—	33	28	8	3	0	0	2	7	1	0	0	286	355	393	748	107	348	21	6	318	102	—	—	—	—	—	—
2019	26	AA	Tennessee Smokies	—	295	269	66	18	1	2	16	71	6	1	0	245	302	342	644	97	323	24	5	289	34	—	—	—	—	—	—
2019	26	INTL	Navegantes del Magallanes	—	90	82	21	7	0	2	6	28	2	0	1	256	322	415	737	159	365	31	7	330	109	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	17	ROK MLE	DSL Cubs 1	—	285	246	46	5	2	1	20	40	10	18	8	187	275	236	511	49	202	14	7	221	36	—	—	—	—	—	—
2011	18	ROK MLE	AZL Cubs	—	227	210	63	8	6	0	7	56	3	13	8	300	332	395	727	95	385	25	3	311	97	—	—	—	—	—	—
2013	20	A MLE	Kane County Cougars	—	516	467	91	21	5	4	28	150	13	13	6	195	260	287	547	92	264	29	5	240	49	—	—	—	—	—	—
2014	21	A+ MLE	Daytona Cubs	—	435	383	86	14	2	3	39	133	9	14	7	225	311	295	606	70	328	31	9	276	73	—	—	—	—	—	—
2015	22	A MLE	South Bend Cubs	—	456	414	87	13	2	3	30	101	6	17	5	210	273	273	546	63	260	22	7	240	49	—	—	—	—	—	—
2016	23	AA MLE	Tennessee Smokies	—	146	135	20	2	1	1	9	53	2	0	1	148	212	200	412	52	233	36	6	184	11	—	—	—	—	—	—
2016	23	A+ MLE	Myrtle Beach Pelicans	—	168	151	27	7	1	3	12	53	1	4	1	179	244	298	542	119	240	32	7	243	51	—	—	—	—	—	—
2019	26	AA MLE	Tennessee Smokies	—	295	276	52	15	1	1	9	89	6	1	0	188	230	261	491	72	267	30	3	219	34	—	—	—	—	—	—
2010	17	ROK MLE	DSL Cubs 1	—	285	246	46	5	2	1	20	40	10	18	8	187	275	236	511	49	215	14	7	221	36	—	—	—	—	—	—
2010	17	ROK RAW	DSL Cubs 1	—	285	238	67	8	3	1	28	33	10	18	8	282	380	353	733	71	317	12	10	329	36	—	—	—	—	—	—
2011	18	ROK MLE	AZL Cubs	—	227	210	63	8	6	0	7	56	3	13	8	300	332	395	727	95	401	25	3	311	97	—	—	—	—	—	—
2011	18	ROK RAW	AZL Cubs	—	227	204	77	11	8	0	13	39	3	13	8	377	423	510	933	132	458	17	6	400	97	—	—	—	—	—	—
2013	20	A MLE	Kane County Cougars	—	516	467	91	21	5	4	28	150	13	13	6	195	260	287	547	92	274	29	5	240	49	—	—	—	—	—	—
2013	20	A RAW	Kane County Cougars	—	516	453	114	26	6	5	42	108	13	13	6	252	333	369	701	117	316	21	8	314	49	—	—	—	—	—	—
2014	21	A+ MLE	Daytona Cubs	—	435	383	86	14	2	3	39	133	9	14	7	225	311	295	606	70	333	31	9	276	73	—	—	—	—	—	—
2014	21	A+ RAW	Daytona Cubs	—	435	369	102	16	3	4	53	90	9	14	7	276	381	369	749	92	354	21	12	342	73	—	—	—	—	—	—
2015	22	A MLE	2 teams	—	500	454	94	14	2	3	33	110	6	17	5	207	270	267	536	59	265	22	7	240	49	—	—	—	—	—	—
2015	22	A RAW	2 teams	—	500	440	113	20	3	4	47	81	6	17	5	257	337	343	680	86	304	16	9	308	49	—	—	—	—	—	—
2016	23	A+ MLE	3 teams	—	386	352	58	11	2	5	26	130	4	4	3	165	230	250	480	85	241	34	7	216	32	—	—	—	—	—	—
2016	23	A+ RAW	3 teams	—	386	345	83	20	3	7	33	97	4	4	3	241	314	377	691	136	311	25	9	308	32	—	—	—	—	—	—
2017	24	INTL MLE	Navegantes del Magallanes	—	33	28	8	3	0	0	2	7	1	0	0	286	355	393	748	107	348	21	6	—	—	—	—	—	—	—	—
2017	24	INTL RAW	Navegantes del Magallanes	—	33	28	8	3	0	0	2	7	1	0	0	286	355	393	748	107	348	21	6	318	102	—	—	—	—	—	—
2019	26	AA MLE	2 teams	—	385	361	69	20	1	2	12	116	8	1	1	191	234	269	502	78	273	30	3	219	34	—	—	—	—	—	—
2019	26	AA RAW	2 teams	—	385	351	87	25	1	4	22	99	8	1	1	248	307	359	666	111	332	26	6	298	34	—	—	—	—	—	—
2010	17	ROK MLE	DSL Cubs 1	—	285	253	46	5	2	1	20	40	10	18	8	182	275	229	505	47	202	14	7	221	36	—	—	—	—	—	—
2011	18	ROK MLE	AZL Cubs	—	227	215	63	8	6	0	7	56	3	13	8	293	332	386	718	93	385	25	3	311	97	—	—	—	—	—	—
2013	20	A MLE	Kane County Cougars	—	516	470	91	21	5	4	28	150	13	13	6	194	260	285	545	91	264	29	5	240	49	—	—	—	—	—	—
2014	21	A+ MLE	Daytona Cubs	—	435	384	86	14	2	3	39	133	9	14	7	224	311	294	605	70	328	31	9	276	73	—	—	—	—	—	—
2015	22	A MLE	2 teams	—	500	457	94	14	2	3	33	110	6	17	5	206	270	265	535	59	260	22	7	240	49	—	—	—	—	—	—
2016	23	A+ MLE	3 teams	—	386	353	58	11	2	5	26	130	4	4	3	164	230	249	480	85	237	34	7	216	32	—	—	—	—	—	—
2019	26	AA MLE	2 teams	—	385	362	69	20	1	2	12	116	8	1	1	191	234	268	502	77	267	30	3	219	34	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2767	2501	515	96	20	18	167	742	54	80	38	206	270	282	552	76	282	27	6	240	49	-169	+1	+0	+49	+60	-6.0
/ 162G	—	MLE		—	650	588	122	23	5	4	39	174	13	19	9	207	272	284	556	77	284	27	6	240	49	-40	+0	+0	+12	+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 AATennessee Smokies · 295 PAwOBA .280 → .219 (−61)K% 24.1% → 30.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.07%	÷0.972	×1.220	—	—	30.20%
BB% (unintentional) /PA	4.75%	÷1.047	×0.680	—	×0.978	3.02%
HBP% /PA	2.03%	—	×0.840	—	×0.978	1.67%
Singles /BIP	22.73%	÷1.051	×0.920	×0.950	×0.978	18.48%
Doubles /BIP	9.09%	÷0.977	×0.910	×0.950	×0.978	7.87%
Triples /BIP	0.51%	÷0.957	×0.880	×0.950	×0.978	0.43%
Home runs /BIP	1.01%	÷1.142	×0.800	—	×0.978	0.69%

Factors used: league row SL. Park (home-season share, regressed): HR 128, 1B 110, 2B 95, 3B 91, K 94, BB 109 — 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 .280 → .219; ISO .097 → .077; BABIP .323 → .267. 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+Myrtle Beach Pelicans · 168 PAwOBA .333 → .243 (−90)K% 21.4% → 31.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.43%	÷0.965	×1.420	—	—	31.54%
BB% (unintentional) /PA	11.90%	÷1.043	×0.630	—	×0.988	7.11%
HBP% /PA	0.60%	—	×0.860	—	×0.988	0.51%
Singles /BIP	18.69%	÷1.044	×0.940	×0.964	×0.988	16.02%
Doubles /BIP	8.41%	÷0.920	×0.830	×0.964	×0.988	7.23%
Triples /BIP	0.93%	÷1.038	×0.800	×0.964	×0.988	0.69%
Home runs /BIP	4.67%	÷1.311	×0.900	—	×0.988	3.17%

Factors used: league row CAR. Park (home-season share, regressed): HR 162, 1B 109, 2B 84, 3B 108, K 93, BB 109 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.964.

Result: wOBA .333 → .243; ISO .182 → .129; BABIP .286 → .240. 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 AATennessee Smokies · 146 PAwOBA .233 → .184 (−49)K% 29.5% → 36.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.45%	÷0.992	×1.220	—	—	36.24%
BB% (unintentional) /PA	8.90%	÷0.982	×0.680	—	×1.012	6.24%
HBP% /PA	1.37%	—	×0.840	—	×1.012	1.16%
Singles /BIP	22.73%	÷1.013	×0.920	×0.950	×1.012	19.84%
Doubles /BIP	2.27%	÷0.918	×0.910	×0.950	×1.012	2.17%
Triples /BIP	1.14%	÷0.900	×0.880	×0.950	×1.012	1.07%
Home runs /BIP	1.14%	÷1.059	×0.800	—	×1.012	0.87%

Factors used: league row SL. Park (home-season share, regressed): HR 112, 1B 103, 2B 84, 3B 80, K 98, BB 96 — 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 ×0.950.

Result: wOBA .233 → .184; ISO .053 → .043; BABIP .264 → .233. 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 ASouth Bend Cubs · 456 PAwOBA .305 → .240 (−66)K% 16.0% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.01%	÷0.984	×1.360	—	—	22.13%
BB% (unintentional) /PA	9.65%	÷1.006	×0.690	—	×0.990	6.56%
HBP% /PA	1.32%	—	×0.780	—	×0.990	1.02%
Singles /BIP	24.46%	÷1.036	×0.920	×0.993	×0.990	21.38%
Doubles /BIP	5.50%	÷1.109	×0.830	×0.993	×0.990	4.05%
Triples /BIP	0.61%	÷1.073	×0.910	×0.993	×0.990	0.51%
Home runs /BIP	1.22%	÷1.064	×0.800	—	×0.990	0.91%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 113, 1B 107, 2B 122, 3B 115, K 97, BB 101 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .305 → .240; ISO .085 → .063; BABIP .308 → .260. 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 A+Daytona Cubs · 435 PAwOBA .335 → .276 (−60)K% 20.7% → 30.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.69%	÷0.959	×1.420	—	—	30.64%
BB% (unintentional) /PA	12.18%	÷1.044	×0.750	—	×1.012	8.86%
HBP% /PA	2.07%	—	×0.930	—	×1.012	1.95%
Singles /BIP	28.32%	÷0.995	×0.920	×0.990	×1.012	26.23%
Doubles /BIP	5.73%	÷1.006	×0.960	×0.990	×1.012	5.48%
Triples /BIP	1.08%	÷0.986	×0.810	×0.990	×1.012	0.89%
Home runs /BIP	1.43%	÷0.930	×0.880	—	×1.012	1.37%

Factors used: league row FSL. Park (home-season share, regressed): HR 86, 1B 99, 2B 101, 3B 97, K 92, BB 109 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .335 → .276; ISO .092 → .079; BABIP .354 → .328. 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 AKane County Cougars · 516 PAwOBA .309 → .240 (−69)K% 20.9% → 29.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.93%	÷0.980	×1.360	—	—	29.05%
BB% (unintentional) /PA	8.14%	÷1.047	×0.690	—	×1.015	5.44%
HBP% /PA	2.52%	—	×0.780	—	×1.015	1.99%
Singles /BIP	22.32%	÷1.091	×0.920	×0.982	×1.015	18.76%
Doubles /BIP	7.54%	÷0.990	×0.830	×0.982	×1.015	6.30%
Triples /BIP	1.74%	÷1.105	×0.910	×0.982	×1.015	1.43%
Home runs /BIP	1.45%	÷0.913	×0.800	—	×1.015	1.29%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 118, 2B 98, 3B 121, K 96, BB 109 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.982.

Result: wOBA .309 → .240; ISO .117 → .094; BABIP .316 → .264. 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).

2011 ROKAZL Cubs · 227 PAwOBA .393 → .311 (−82)K% 17.2% → 24.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.18%	÷1.000	×1.440	—	—	24.74%
BB% (unintentional) /PA	5.29%	÷1.000	×0.620	—	×1.008	3.30%
HBP% /PA	1.32%	—	×0.720	—	×1.008	0.96%
Singles /BIP	35.15%	÷1.000	×0.820	×1.048	×1.008	30.44%
Doubles /BIP	6.67%	÷1.000	×0.720	×1.048	×1.008	5.07%
Triples /BIP	4.85%	÷1.000	×0.720	×1.048	×1.008	3.69%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×1.008	0.00%

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 ×1.048.

Result: wOBA .393 → .311; ISO .132 → .098; BABIP .458 → .385. 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).

2010 DSLDSL Cubs 1 · 285 PAwOBA .326 → .221 (−105)K% 11.6% → 14.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.58%	÷1.000	×1.220	—	—	14.13%
BB% (unintentional) /PA	9.82%	÷1.000	×0.700	—	×1.008	6.93%
HBP% /PA	3.51%	—	×0.700	—	×1.008	2.47%
Singles /BIP	26.83%	÷1.000	×0.680	×0.950	×1.008	17.46%
Doubles /BIP	3.90%	÷1.000	×0.600	×0.950	×1.008	2.24%
Triples /BIP	1.46%	÷1.000	×0.600	×0.950	×1.008	0.84%
Home runs /BIP	0.49%	÷1.000	×0.470	—	×1.008	0.23%

Factors used: level-wide DSL 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 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .326 → .221; ISO .071 → .042; BABIP .317 → .202. 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 — .