Jay Gonzalez

PosCF

B/TL/L

Born1991-12-11

Age (2027)35

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	25	AA/A+/INTL3 orgs	464	.272/.381/.342	36	79	—	.245/.317/.316
2018	26	AA/ROK/INTL3 orgs	472	.291/.360/.348	17	85	—	.257/.304/.300
2019	27	INTLCangrejeros d…	88	.137/.259/.192	6	32	—

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)
2015	23	A+	Frederick Keys	—	236	205	48	2	3	0	26	61	0	10	7	234	320	273	594	39	329	26	11	273	33	—	—	—	—	—	—
2015	23	A	Delmarva Shorebirds	—	326	262	77	9	5	0	61	72	0	24	7	294	427	366	794	73	403	22	19	366	82	—	—	—	—	—	—
2016	24	AA	Bowie Baysox	—	71	61	15	0	0	0	9	15	0	2	1	246	343	246	589		326	21	13	280	55	—	—	—	—	—	—
2016	24	A+	Frederick Keys	—	341	289	73	16	3	1	46	66	0	41	8	253	355	339	694	87	323	19	13	315	55	—	—	—	—	—	—
2017	25	AA	Bowie Baysox	—	167	134	38	7	3	0	27	33	0	13	3	284	404	381	784	97	365	20	16	347	99	—	—	—	—	—	—
2017	25	A+	Frederick Keys	—	218	185	49	9	2	0	30	51	0	18	6	265	367	335	703	70	366	23	14	322	57	—	—	—	—	—	—
2017	25	INTL	Puerto Rico	—	79	67	18	1	0	0	11	12	0	5	2	269	372	284	655	15	327	15	14	308	95	—	—	—	—	—	—
2018	26	AA	Jackson Generals	—	204	181	52	8	1	0	21	49	0	7	4	287	361	343	704	55	391	24	10	321	70	—	—	—	—	—	—
2018	26	ROK	ACL D-backs	—	22	20	7	0	0	0	2	2	0	1	0	350	409	350	759		389	9	9	351	57	—	—	—	—	—	—
2018	26	INTL	Indios de Mayaguez	—	246	218	63	10	2	0	21	53	1	9	4	289	354	353	707	64	373	22	9	315	100	—	—	—	—	—	—
2019	27	INTL	Cangrejeros de Santurce	—	88	73	10	4	0	0	12	18	0	6	2	137	259	192	451	55	179	20	14	215	32	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	23	A+ MLE	Frederick Keys	—	236	215	42	2	2	0	16	88	0	10	7	195	251	223	474	28	316	37	7	217	33	—	—	—	—	—	—
2015	23	A MLE	Delmarva Shorebirds	—	326	284	69	7	5	0	39	99	0	24	7	243	334	303	637	60	367	30	12	290	82	—	—	—	—	—	—
2016	24	AA MLE	Bowie Baysox	—	71	64	16	0	0	0	6	19	0	2	1	250	314	250	564		334	27	8	249	55	—	—	—	—	—	—
2016	24	A+ MLE	Frederick Keys	—	341	307	65	13	2	1	28	93	0	41	8	212	278	277	554	65	294	27	8	249	55	—	—	—	—	—	—
2017	25	AA MLE	Bowie Baysox	—	167	143	39	6	3	0	18	42	0	13	3	273	354	357	711	84	359	25	11	315	99	—	—	—	—	—	—
2017	25	A+ MLE	Frederick Keys	—	218	197	44	8	2	0	18	73	0	18	6	223	288	284	573	61	345	33	8	253	57	—	—	—	—	—	—
2018	26	AA MLE	Jackson Generals	—	204	189	49	7	1	0	13	61	0	7	4	259	307	307	614	48	372	30	6	272	70	—	—	—	—	—	—
2018	26	ROK MLE	ACL D-backs	—	22	21	5	0	0	0	1	3	0	1	0	238	273	238	511		300	14	5	252	57	—	—	—	—	—	—
2015	23	A MLE	2 teams	—	562	499	111	9	7	0	55	187	0	34	14	222	300	269	568	46	352	33	10	259	62	—	—	—	—	—	—
2015	23	A RAW	2 teams	—	562	467	125	11	8	0	87	133	0	34	14	268	383	325	708	58	371	24	15	327	62	—	—	—	—	—	—
2016	24	A+ MLE	2 teams	—	412	371	80	13	2	1	34	112	0	43	9	216	281	270	551	54	305	27	8	249	55	—	—	—	—	—	—
2016	24	A+ RAW	2 teams	—	412	350	88	16	3	1	55	81	0	43	9	251	353	323	676	71	323	20	13	309	55	—	—	—	—	—	—
2017	25	A+ MLE	3 teams	—	464	411	101	17	6	0	43	138	0	36	11	246	317	316	633	71	366	30	9	280	76	—	—	—	—	—	—
2017	25	A+ RAW	3 teams	—	464	386	105	17	5	0	68	96	0	36	11	272	381	342	723	70	358	21	15	329	76	—	—	—	—	—	—
2018	26	INTL MLE	3 teams	—	472	434	113	15	2	0	29	134	1	17	8	260	308	304	612	44	370	28	6	270	69	—	—	—	—	—	—
2018	26	INTL RAW	3 teams	—	472	419	122	18	3	0	44	104	1	17	8	291	360	348	708	57	381	22	9	319	69	—	—	—	—	—	—
2019	27	INTL MLE	Cangrejeros de Santurce	—	88	73	10	4	0	0	12	18	0	6	2	137	259	192	451	55	179	20	14	—	—	—	—	—	—	—	—
2019	27	INTL RAW	Cangrejeros de Santurce	—	88	73	10	4	0	0	12	18	0	6	2	137	259	192	451	55	179	20	14	215	32	—	—	—	—	—	—
2015	23	A MLE	2 teams	—	562	502	111	9	7	0	55	187	0	34	14	221	300	267	567	46	346	33	10	259	62	—	—	—	—	—	—
2016	24	A+ MLE	2 teams	—	412	375	80	13	2	1	34	112	0	43	9	213	281	267	548	53	301	27	8	249	55	—	—	—	—	—	—
2017	25	A+ MLE	3 teams	—	464	418	101	17	6	0	43	138	0	36	11	242	317	311	628	69	351	30	9	280	76	—	—	—	—	—	—
2018	26	INTL MLE	3 teams	—	472	439	113	15	2	0	29	134	1	17	8	257	308	301	609	43	365	28	6	270	69	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1998	1788	415	58	17	1	173	589	1	136	44	232	300	285	585	53	342	29	9	253	57	-101	+10	+0	+7	+43	-4.2
/ 162G	—	MLE		—	650	582	135	19	6	0	56	192	0	44	14	232	299	285	584	53	343	30	9	253	57	-33	+3	+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.

2018 AAJackson Generals · 204 PAwOBA .311 → .272 (−39)K% 24.0% → 30.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.02%	÷0.972	×1.220	—	—	30.14%
BB% (unintentional) /PA	9.31%	÷1.003	×0.680	—	×0.978	6.18%
HBP% /PA	0.00%	—	×0.840	—	×0.978	0.00%
Singles /BIP	32.58%	÷0.982	×0.920	×1.050	×0.978	31.33%
Doubles /BIP	6.06%	÷1.022	×0.910	×1.050	×0.978	5.54%
Triples /BIP	0.76%	÷1.145	×0.880	×1.050	×0.978	0.60%
Home runs /BIP	0.00%	÷0.954	×0.800	—	×0.978	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 91, 1B 96, 2B 104, 3B 129, K 94, BB 101 — 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 ×1.050.

Result: wOBA .311 → .272; ISO .055 → .048; BABIP .391 → .372. 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 ROKACL D-backs · 22 PAwOBA .343 → .252 (−91)K% 9.1% → 13.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.09%	÷1.000	×1.440	—	—	13.09%
BB% (unintentional) /PA	9.09%	÷1.000	×0.620	—	×0.940	5.30%
HBP% /PA	0.00%	—	×0.720	—	×0.940	0.00%
Singles /BIP	38.89%	÷1.000	×0.820	—	×0.940	29.98%
Doubles /BIP	0.00%	÷1.000	×0.720	—	×0.940	0.00%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.940	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 27 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (7.5 yr older than average).

Result: wOBA .343 → .252; ISO .000 → .000; BABIP .389 → .300. 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 A+Frederick Keys · 218 PAwOBA .314 → .253 (−61)K% 23.4% → 33.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.39%	÷0.993	×1.420	—	—	33.44%
BB% (unintentional) /PA	13.76%	÷1.010	×0.630	—	×0.968	8.31%
HBP% /PA	0.00%	—	×0.860	—	×0.968	0.00%
Singles /BIP	28.36%	÷1.006	×0.940	×1.050	×0.968	26.93%
Doubles /BIP	6.72%	÷0.914	×0.830	×1.050	×0.968	6.20%
Triples /BIP	1.49%	÷0.900	×0.800	×1.050	×0.968	1.35%
Home runs /BIP	0.00%	÷1.238	×0.900	—	×0.968	0.00%

Factors used: league row CAR. Park (home-season share, regressed): HR 148, 1B 101, 2B 83, 3B 80, K 99, BB 102 — applied at half strength. Age: age 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .314 → .253; ISO .070 → .061; BABIP .366 → .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 AABowie Baysox · 167 PAwOBA .346 → .315 (−31)K% 19.8% → 24.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.76%	÷0.970	×1.220	—	—	24.85%
BB% (unintentional) /PA	16.17%	÷1.061	×0.700	—	×0.988	10.54%
HBP% /PA	0.00%	—	×0.850	—	×0.988	0.00%
Singles /BIP	27.72%	÷0.993	×0.970	×1.050	×0.988	28.08%
Doubles /BIP	6.93%	÷1.043	×0.860	×1.050	×0.988	5.93%
Triples /BIP	2.97%	÷1.016	×0.950	×1.050	×0.988	2.88%
Home runs /BIP	0.00%	÷0.998	×0.780	—	×0.988	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 100, 1B 99, 2B 109, 3B 103, K 94, BB 112 — 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 ×1.050.

Result: wOBA .346 → .315; ISO .097 → .094; BABIP .365 → .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).

2016 A+Frederick Keys · 341 PAwOBA .307 → .249 (−57)K% 19.4% → 27.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.35%	÷1.003	×1.420	—	—	27.41%
BB% (unintentional) /PA	12.90%	÷0.972	×0.630	—	×0.978	8.18%
HBP% /PA	0.00%	—	×0.860	—	×0.978	0.00%
Singles /BIP	23.77%	÷1.035	×0.940	×1.050	×0.978	22.17%
Doubles /BIP	7.17%	÷0.997	×0.830	×1.050	×0.978	6.13%
Triples /BIP	1.35%	÷0.975	×0.800	×1.050	×0.978	1.13%
Home runs /BIP	0.45%	÷1.214	×0.900	—	×0.978	0.33%

Factors used: league row CAR. Park (home-season share, regressed): HR 143, 1B 107, 2B 99, 3B 95, K 101, BB 94 — 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 ×1.050.

Result: wOBA .307 → .249; ISO .087 → .071; BABIP .323 → .294. 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 AABowie Baysox · 71 PAwOBA .273 → .249 (−24)K% 21.1% → 26.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.13%	÷0.984	×1.220	—	—	26.18%
BB% (unintentional) /PA	12.68%	÷1.084	×0.700	—	×0.998	8.17%
HBP% /PA	0.00%	—	×0.850	—	×0.998	0.00%
Singles /BIP	32.61%	÷0.992	×0.970	×1.050	×0.998	33.42%
Doubles /BIP	0.00%	÷1.053	×0.860	×1.050	×0.998	0.00%
Triples /BIP	0.00%	÷0.900	×0.950	×1.050	×0.998	0.00%
Home runs /BIP	0.00%	÷1.057	×0.780	—	×0.998	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 111, 1B 98, 2B 111, 3B 80, K 97, BB 117 — 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 ×1.050.

Result: wOBA .273 → .249; ISO .000 → .000; BABIP .326 → .334. 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 ADelmarva Shorebirds · 326 PAwOBA .359 → .290 (−69)K% 22.1% → 30.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.09%	÷0.977	×1.340	—	—	30.28%
BB% (unintentional) /PA	18.71%	÷1.009	×0.660	—	×0.980	12.00%
HBP% /PA	0.00%	—	×0.770	—	×0.980	0.00%
Singles /BIP	33.16%	÷1.034	×0.920	×1.050	×0.980	30.36%
Doubles /BIP	4.74%	÷1.027	×0.820	×1.050	×0.980	3.89%
Triples /BIP	2.63%	÷0.964	×0.940	×1.050	×0.980	2.64%
Home runs /BIP	0.00%	÷0.902	×0.820	—	×0.980	0.00%

Factors used: league row SAL. Park (home-season share, regressed): HR 80, 1B 107, 2B 106, 3B 93, K 95, BB 102 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .359 → .290; ISO .073 → .066; BABIP .403 → .367. 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+Frederick Keys · 236 PAwOBA .269 → .217 (−53)K% 25.8% → 37.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.85%	÷0.985	×1.420	—	—	37.28%
BB% (unintentional) /PA	11.02%	÷0.999	×0.630	—	×0.988	6.87%
HBP% /PA	0.00%	—	×0.860	—	×0.988	0.00%
Singles /BIP	29.86%	÷1.001	×0.940	×1.050	×0.988	29.08%
Doubles /BIP	1.39%	÷1.021	×0.830	×1.050	×0.988	1.17%
Triples /BIP	2.08%	÷0.935	×0.800	×1.050	×0.988	1.85%
Home runs /BIP	0.00%	÷1.184	×0.900	—	×0.988	0.00%

Factors used: league row CAR. Park (home-season share, regressed): HR 137, 1B 100, 2B 104, 3B 87, K 97, BB 100 — 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 ×1.050.

Result: wOBA .269 → .217; ISO .039 → .031; BABIP .329 → .316. 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 — .