Jhoan Urena

Pos3B

B/TS/R

Born1994-09-01

Age (2027)32

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
2018	23	AA/INTL2 orgs	483	.257/.324/.408	14	2	68	—	.229/.277/.356
2019	24	AA/INTL2 orgs	568	.255/.333/.391	9	2	49	—	.191/.247/.294
2021	26	INTLAlgodoneros d…	285	.303/.401/.463	8	1	147	—

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 Mets 2	—	288	262	73	15	3	4	20	46	2	12	3	279	335	405	739	126	319	16	7	326	30	—	—	—	—	—	—
2013	18	ROK	GCL Mets	—	171	157	47	6	3	0	13	34	0	4	1	299	353	376	729	76	379	20	8	328	48	—	—	—	—	—	—
2015	20	A+	St. Lucie Mets	—	222	210	45	5	3	0	11	40	1	2	0	214	257	267	523	52	265	18	5	239	22	—	—	—	—	—	—
2015	20	ROK	GCL Mets	—	19	15	5	1	0	2	4	0	0	1	0	333	474	800	1.274	467	231	0	21	529	158	—	—	—	—	—	—
2016	21	A+	St. Lucie Mets	—	430	383	86	17	2	9	42	75	1	0	1	225	302	350	652	125	255	17	10	294	55	—	—	—	—	—	—
2017	22	AAA	Las Vegas 51s	—	48	44	10	0	1	3	4	16	0	1	0	227	292	477	769	250	280	33	8	335	36	—	—	—	—	—	—
2017	22	A+	St. Lucie Mets	—	522	458	129	34	2	11	60	114	1	17	3	282	366	437	803	155	351	22	11	357	84	—	—	—	—	—	—
2018	23	AA	Binghamton Rumble Ponies	—	466	421	110	20	2	14	39	112	2	2	4	261	327	418	745	157	321	24	8	330	70	—	—	—	—	—	—
2018	23	INTL	Gigantes del Cibao	—	17	15	2	0	0	0	2	9	0	0	0	133	235	133	369		333	53	12	189	14	—	—	—	—	—	—
2019	24	AA	Mobile BayBears	—	522	468	122	34	3	9	53	140	1	2	2	261	337	404	741	143	354	27	10	333	49	—	—	—	—	—	—
2019	24	INTL	Gigantes del Cibao	—	46	41	8	2	0	0	5	15	0	0	0	195	283	244	527	49	308	33	11	250	55	—	—	—	—	—	—
2021	26	INTL	Algodoneros de Guasave	—	285	244	74	11	2	8	40	56	0	1	1	303	401	463	865	160	365	20	14	386	147	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	17	ROK MLE	DSL Mets 2	—	288	268	49	9	2	2	14	56	2	12	3	183	229	254	483	71	215	19	5	213	30	—	—	—	—	—	—
2013	18	ROK MLE	GCL Mets	—	171	162	36	4	2	0	8	49	0	4	1	222	259	272	530	49	318	29	5	239	48	—	—	—	—	—	—
2015	20	A+ MLE	St. Lucie Mets	—	222	213	39	4	3	0	8	57	1	2	0	183	216	230	446	47	252	26	4	200	22	—	—	—	—	—	—
2015	20	ROK MLE	GCL Mets	—	19	17	5	1	0	2	2	0	0	1	0	294	368	706	1.074	412	173	0	11	401	158	—	—	—	—	—	—
2016	21	A+ MLE	St. Lucie Mets	—	430	395	78	16	2	8	31	111	1	0	1	197	258	309	566	111	247	26	7	249	55	—	—	—	—	—	—
2017	22	AAA MLE	Las Vegas 51s	—	48	45	8	0	1	2	3	22	0	1	0	178	229	356	585	178	249	46	6	221	36	—	—	—	—	—	—
2017	22	A+ MLE	St. Lucie Mets	—	522	473	110	28	2	9	45	169	1	17	3	233	301	357	658	125	335	32	9	292	84	—	—	—	—	—	—
2018	23	AA MLE	Binghamton Rumble Ponies	—	466	433	99	18	2	11	27	138	2	2	4	229	277	356	633	127	298	30	6	272	70	—	—	—	—	—	—
2019	24	AA MLE	Mobile BayBears	—	522	486	93	26	3	6	35	179	1	2	2	191	247	294	541	103	289	34	7	241	49	—	—	—	—	—	—
2012	17	ROK MLE	DSL Mets 2	—	288	268	49	9	2	2	14	56	2	12	3	183	229	254	483	71	220	19	5	213	30	—	—	—	—	—	—
2012	17	ROK RAW	DSL Mets 2	—	288	262	73	15	3	4	20	46	2	12	3	279	335	405	739	126	319	16	7	326	30	—	—	—	—	—	—
2013	18	ROK MLE	GCL Mets	—	171	162	36	4	2	0	8	49	0	4	1	222	259	272	530	49	316	29	5	239	48	—	—	—	—	—	—
2013	18	ROK RAW	GCL Mets	—	171	157	47	6	3	0	13	34	0	4	1	299	353	376	729	76	379	20	8	328	48	—	—	—	—	—	—
2015	20	A+ MLE	2 teams	—	241	229	44	5	3	2	11	57	1	3	0	192	232	266	499	74	247	24	5	216	32	—	—	—	—	—	—
2015	20	A+ RAW	2 teams	—	241	225	50	6	3	2	15	40	1	3	0	222	274	302	576	80	262	17	6	262	32	—	—	—	—	—	—
2016	21	A+ MLE	St. Lucie Mets	—	430	395	78	16	2	8	31	111	1	0	1	197	258	309	566	111	251	26	7	249	55	—	—	—	—	—	—
2016	21	A+ RAW	St. Lucie Mets	—	430	383	86	17	2	9	42	75	1	0	1	225	302	350	652	125	255	17	10	294	55	—	—	—	—	—	—
2017	22	A+ MLE	2 teams	—	570	518	117	28	2	11	48	191	1	18	3	226	293	351	644	125	332	34	8	286	80	—	—	—	—	—	—
2017	22	A+ RAW	2 teams	—	570	502	139	34	3	14	64	130	1	18	3	277	360	440	800	163	346	23	11	356	80	—	—	—	—	—	—
2018	23	AA MLE	2 teams	—	483	449	102	19	2	11	28	143	2	2	4	227	276	352	627	125	304	30	6	272	70	—	—	—	—	—	—
2018	23	AA RAW	2 teams	—	483	436	112	20	2	14	41	121	2	2	4	257	324	408	732	151	321	25	8	325	70	—	—	—	—	—	—
2019	24	AA MLE	2 teams	—	568	528	101	28	3	7	39	194	1	2	2	191	248	295	544	104	287	34	7	241	49	—	—	—	—	—	—
2019	24	AA RAW	2 teams	—	568	509	130	36	3	9	58	155	1	2	2	255	333	391	724	136	351	27	10	326	49	—	—	—	—	—	—
2021	26	INTL MLE	Algodoneros de Guasave	—	285	244	74	11	2	8	40	56	0	1	1	303	401	463	865	160	365	20	14	—	—	—	—	—	—	—	—
2021	26	INTL RAW	Algodoneros de Guasave	—	285	244	74	11	2	8	40	56	0	1	1	303	401	463	865	160	365	20	14	386	147	—	—	—	—	—	—
2012	17	ROK MLE	DSL Mets 2	—	288	270	49	9	2	2	14	56	2	12	3	181	229	252	481	70	215	19	5	213	30	—	—	—	—	—	—
2013	18	ROK MLE	GCL Mets	—	171	161	36	4	2	0	8	49	0	4	1	224	259	273	532	50	318	29	5	239	48	—	—	—	—	—	—
2015	20	A+ MLE	2 teams	—	241	227	44	5	3	2	11	57	1	3	0	194	232	269	501	75	246	24	5	216	32	—	—	—	—	—	—
2016	21	A+ MLE	St. Lucie Mets	—	430	395	78	16	2	8	31	111	1	0	1	197	258	309	566	111	247	26	7	249	55	—	—	—	—	—	—
2017	22	A+ MLE	2 teams	—	570	516	117	28	2	11	48	191	1	18	3	227	293	353	645	126	328	34	8	286	80	—	—	—	—	—	—
2018	23	AA MLE	2 teams	—	483	450	102	19	2	11	28	143	2	2	4	227	276	351	627	124	298	30	6	272	70	—	—	—	—	—	—
2019	24	AA MLE	2 teams	—	568	523	101	28	3	7	39	194	1	2	2	193	248	298	547	105	289	34	7	241	49	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	3036	2793	601	120	18	49	219	857	8	42	15	215	274	324	598	108	290	28	7	228	41	-215	+2	+0	+11	+66	-13.9
/ 162G	—	MLE		—	650	598	129	26	4	10	47	183	2	9	3	216	275	323	598	107	292	28	7	228	41	-46	+1	+0	+2	+14	-3.0

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 AAMobile BayBears · 522 PAwOBA .324 → .241 (−84)K% 26.8% → 34.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.82%	÷0.956	×1.220	—	—	34.23%
BB% (unintentional) /PA	10.15%	÷1.020	×0.680	—	×0.998	6.76%
HBP% /PA	0.19%	—	×0.840	—	×0.998	0.16%
Singles /BIP	23.17%	÷1.066	×0.920	×0.950	×0.998	18.97%
Doubles /BIP	10.37%	÷1.054	×0.910	×0.950	×0.998	8.48%
Triples /BIP	0.91%	÷0.902	×0.880	×0.950	×0.998	0.85%
Home runs /BIP	2.74%	÷1.050	×0.800	—	×0.998	2.09%

Factors used: league row SL. Park (home-season share, regressed): HR 110, 1B 113, 2B 111, 3B 80, K 91, BB 104 — 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 .324 → .241; ISO .143 → .108; BABIP .354 → .289. 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 AABinghamton Rumble Ponies · 466 PAwOBA .324 → .272 (−52)K% 24.0% → 29.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.03%	÷0.992	×1.220	—	—	29.56%
BB% (unintentional) /PA	8.37%	÷1.028	×0.700	—	×1.012	5.77%
HBP% /PA	0.43%	—	×0.850	—	×1.012	0.37%
Singles /BIP	23.95%	÷1.009	×0.970	×0.968	×1.012	22.57%
Doubles /BIP	6.47%	÷0.906	×0.860	×0.968	×1.012	6.02%
Triples /BIP	0.65%	÷1.134	×0.950	×0.968	×1.012	0.53%
Home runs /BIP	4.53%	÷1.013	×0.780	—	×1.012	3.53%

Factors used: league row EL. Park (home-season share, regressed): HR 103, 1B 102, 2B 81, 3B 127, K 98, BB 106 — 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 ×0.968.

Result: wOBA .324 → .272; ISO .157 → .126; BABIP .321 → .298. 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+St. Lucie Mets · 522 PAwOBA .349 → .292 (−57)K% 21.8% → 32.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.84%	÷0.956	×1.420	—	—	32.43%
BB% (unintentional) /PA	11.11%	÷0.957	×0.750	—	×0.998	8.69%
HBP% /PA	0.19%	—	×0.930	—	×0.998	0.18%
Singles /BIP	23.84%	÷0.970	×0.920	×1.025	×0.998	23.12%
Doubles /BIP	9.88%	÷1.056	×0.960	×1.025	×0.998	9.19%
Triples /BIP	0.58%	÷0.900	×0.810	×1.025	×0.998	0.54%
Home runs /BIP	3.20%	÷0.911	×0.880	—	×0.998	3.08%

Factors used: league row FSL. Park (home-season share, regressed): HR 82, 1B 94, 2B 111, 3B 80, K 91, BB 91 — 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 ×1.025.

Result: wOBA .349 → .292; ISO .155 → .131; BABIP .351 → .335. 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 AAALas Vegas 51s · 48 PAwOBA .325 → .221 (−105)K% 33.3% → 45.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷0.948	×1.290	—	—	45.35%
BB% (unintentional) /PA	8.33%	÷1.015	×0.710	—	×1.050	6.12%
HBP% /PA	0.00%	—	×0.980	—	×1.050	0.00%
Singles /BIP	21.43%	÷0.994	×0.900	—	×1.050	20.37%
Doubles /BIP	0.00%	÷0.998	×0.810	—	×1.050	0.00%
Triples /BIP	3.57%	÷1.111	×0.810	—	×1.050	2.73%
Home runs /BIP	10.71%	÷1.209	×0.780	—	×1.050	7.26%

Factors used: league row PCL. Park (home-season share, regressed): HR 142, 1B 99, 2B 100, 3B 122, K 90, BB 103 — 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).

Result: wOBA .325 → .221; ISO .250 → .144; BABIP .280 → .249. 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+St. Lucie Mets · 430 PAwOBA .288 → .249 (−39)K% 17.4% → 25.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.44%	÷0.959	×1.420	—	—	25.84%
BB% (unintentional) /PA	9.77%	÷1.032	×0.750	—	×1.012	7.19%
HBP% /PA	0.23%	—	×0.930	—	×1.012	0.22%
Singles /BIP	18.83%	÷0.994	×0.920	×1.021	×1.012	18.02%
Doubles /BIP	5.52%	÷0.956	×0.960	×1.021	×1.012	5.73%
Triples /BIP	0.65%	÷1.017	×0.810	×1.021	×1.012	0.53%
Home runs /BIP	2.92%	÷0.943	×0.880	—	×1.012	2.76%

Factors used: league row FSL. Park (home-season share, regressed): HR 89, 1B 99, 2B 91, 3B 103, K 92, BB 106 — 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 ×1.021.

Result: wOBA .288 → .249; ISO .125 → .113; BABIP .255 → .247. 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+St. Lucie Mets · 222 PAwOBA .233 → .200 (−34)K% 18.0% → 25.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.02%	÷0.992	×1.420	—	—	25.79%
BB% (unintentional) /PA	4.95%	÷1.023	×0.750	—	×1.027	3.73%
HBP% /PA	0.45%	—	×0.930	—	×1.027	0.43%
Singles /BIP	21.76%	÷1.049	×0.920	×1.050	×1.027	20.57%
Doubles /BIP	2.94%	÷1.055	×0.960	×1.050	×1.027	2.89%
Triples /BIP	1.76%	÷0.900	×0.810	×1.050	×1.027	1.71%
Home runs /BIP	0.00%	÷1.269	×0.880	—	×1.027	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 154, 1B 110, 2B 111, 3B 80, K 98, BB 105 — applied at half strength. Age: age 21 vs a level average of 22.8 → +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 .233 → .200; ISO .052 → .047; BABIP .265 → .252. 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 ROKGCL Mets · 19 PAwOBA .514 → .401 (−113)K% 0.0% → 0.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	0.00%	÷1.000	×1.440	—	—	0.00%
BB% (unintentional) /PA	21.05%	÷1.000	×0.620	—	×0.985	12.86%
HBP% /PA	0.00%	—	×0.720	—	×0.985	0.00%
Singles /BIP	13.33%	÷1.000	×0.820	—	×0.985	10.77%
Doubles /BIP	6.67%	÷1.000	×0.720	—	×0.985	4.73%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.985	0.00%
Home runs /BIP	13.33%	÷1.000	×0.780	—	×0.985	10.24%

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).

Result: wOBA .514 → .401; ISO .467 → .391; BABIP .231 → .173. 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 Mets · 171 PAwOBA .319 → .239 (−80)K% 19.9% → 28.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.88%	÷1.000	×1.440	—	—	28.63%
BB% (unintentional) /PA	7.02%	÷1.000	×0.620	—	×1.008	4.38%
HBP% /PA	0.00%	—	×0.720	—	×1.008	0.00%
Singles /BIP	30.89%	÷1.000	×0.820	×1.039	×1.008	26.52%
Doubles /BIP	4.88%	÷1.000	×0.720	×1.039	×1.008	3.68%
Triples /BIP	2.44%	÷1.000	×0.720	×1.039	×1.008	1.84%
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 ×1.039.

Result: wOBA .319 → .239; ISO .076 → .054; BABIP .379 → .318. 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 — .