Engelb Vielma

PosSS

B/TS/R

Born1994-06-22

Age (2027)33

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
2021	27	INTLVenezuela	90	.244/.333/.410	3	1	112	—
2022	28	INTLNavegantes de…	38	.382/.432/.412	0	1	140	—
2023	29	INTLCaribes de An…	28	.250/.444/.250	0	0	115	—

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	18	ROK	DSL Twins	—	181	157	42	4	3	0	18	27	4	16	5	268	358	331	689	64	318	15	10	316	31	—	—	—	—	—	—
2013	19	ROK	Elizabethton Twins	—	178	154	36	3	0	0	16	30	4	8	3	234	322	253	575	19	286	17	9	269	24	—	—	—	—	—	—
2014	20	A	Cedar Rapids Kernels	—	459	418	111	13	4	1	28	71	3	10	6	266	316	323	639	57	313	15	6	286	50	—	—	—	—	—	—
2015	21	A+	Fort Myers Miracle	—	501	441	119	9	2	1	35	71	1	35	12	270	325	306	631	36	315	14	7	277	57	—	—	—	—	—	—
2015	21	INTL	Tigres de Aragua	—	53	48	10	2	0	0	2	14	2	5	1	208	269	250	519	42	294	26	4	239	48	—	—	—	—	—	—
2016	22	AA	Chattanooga Lookouts	—	367	314	85	7	4	0	34	62	3	10	8	271	348	318	666	48	333	17	9	295	74	—	—	—	—	—	—
2016	22	A+	Fort Myers Miracle	—	30	25	5	0	0	0	5	8	0	2	0	200	333	200	533		294	27	17	267	27	—	—	—	—	—	—
2017	23	AAA	Rochester Red Wings	—	314	296	61	12	2	0	11	72	1	2	5	206	237	260	497	54	266	23	4	222	17	—	—	—	—	—	—
2017	23	AA	Chattanooga Lookouts	—	141	119	34	5	0	0	14	13	2	1	3	286	370	328	698	42	312	9	10	311	81	—	—	—	—	—	—
2017	23	INTL	Tigres de Aragua	—	107	96	23	2	2	0	7	19	3	1	0	240	311	302	613	62	299	18	7	281	76	—	—	—	—	—	—
2018	24	AAA	Norfolk Tides	—	43	38	7	2	1	0	4	9	0	0	0	184	262	289	551	105	233	21	9	246	31	—	—	—	—	—	—
2018	24	INTL	Aguilas del Zulia	—	31	31	7	0	0	0	0	7	0	0	0	226	226	226	452		292	23	0	204	24	—	—	—	—	—	—
2019	25	AAA	Norfolk Tides	—	132	113	23	7	1	0	14	33	3	0	1	204	308	283	591	80	287	25	11	274	33	—	—	—	—	—	—
2019	25	INTL	Aguilas del Zulia	—	169	143	34	5	1	0	17	31	7	3	2	238	347	287	634	49	304	18	10	298	88	—	—	—	—	—	—
2020	26	INTL	Navegantes del Magallanes	—	107	93	30	8	3	2	8	16	5	0	1	323	406	538	943	215	373	15	7	410	164	—	—	—	—	—	—
2021	27	INTL	Venezuela	—	90	78	19	4	0	3	7	13	4	1	1	244	333	410	744	167	258	14	8	334	112	—	—	—	—	—	—
2022	28	INTL	Navegantes del Magallanes	—	38	34	13	1	0	0	3	5	0	1	0	382	432	412	844	29	448	13	8	375	140	—	—	—	—	—	—
2023	29	INTL	Caribes de Anzoategui	—	28	20	5	0	0	0	5	1	2	0	0	250	444	250	694		263	4	18	339	115	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	18	ROK MLE	DSL Twins	—	181	163	29	2	2	0	12	33	4	16	5	178	251	215	466	37	215	18	7	214	31	—	—	—	—	—	—
2013	19	ROK MLE	Elizabethton Twins	—	178	160	29	2	0	0	10	43	4	8	3	181	247	194	441	13	236	24	6	204	24	—	—	—	—	—	—
2014	20	A MLE	Cedar Rapids Kernels	—	459	427	100	10	4	1	19	99	3	10	6	234	272	283	555	49	289	22	4	242	50	—	—	—	—	—	—
2015	21	A+ MLE	Fort Myers Miracle	—	501	451	115	10	2	1	25	102	1	35	12	255	296	293	588	38	302	20	5	252	57	—	—	—	—	—	—
2016	22	AA MLE	Chattanooga Lookouts	—	367	325	88	7	4	0	23	79	3	10	8	271	325	317	642	46	331	22	6	277	74	—	—	—	—	—	—
2016	22	A+ MLE	Fort Myers Miracle	—	30	26	4	0	0	0	4	12	0	2	0	154	267	154	421		278	40	13	208	27	—	—	—	—	—	—
2017	23	AAA MLE	Rochester Red Wings	—	314	299	57	10	2	0	8	87	1	2	5	191	214	237	452	47	250	28	3	193	17	—	—	—	—	—	—
2017	23	AA MLE	Chattanooga Lookouts	—	141	123	34	5	0	0	10	16	2	1	3	276	341	317	658	41	290	11	7	288	81	—	—	—	—	—	—
2018	24	AAA MLE	Norfolk Tides	—	43	39	7	2	1	0	3	11	0	0	0	179	238	282	520	103	216	26	7	214	31	—	—	—	—	—	—
2019	25	AAA MLE	Norfolk Tides	—	132	118	20	6	1	0	9	41	3	0	1	169	246	237	483	68	250	31	7	217	33	—	—	—	—	—	—
2012	18	ROK MLE	DSL Twins	—	181	163	29	2	2	0	12	33	4	16	5	178	251	215	466	37	220	18	7	214	31	—	—	—	—	—	—
2012	18	ROK RAW	DSL Twins	—	181	157	42	4	3	0	18	27	4	16	5	268	358	331	689	64	318	15	10	316	31	—	—	—	—	—	—
2013	19	ROK MLE	Elizabethton Twins	—	178	160	29	2	0	0	10	43	4	8	3	181	247	194	441	13	244	24	6	204	24	—	—	—	—	—	—
2013	19	ROK RAW	Elizabethton Twins	—	178	154	36	3	0	0	16	30	4	8	3	234	322	253	575	19	286	17	9	269	24	—	—	—	—	—	—
2014	20	A MLE	Cedar Rapids Kernels	—	459	427	100	10	4	1	19	99	3	10	6	234	272	283	555	49	298	22	4	242	50	—	—	—	—	—	—
2014	20	A RAW	Cedar Rapids Kernels	—	459	418	111	13	4	1	28	71	3	10	6	266	316	323	639	57	313	15	6	286	50	—	—	—	—	—	—
2015	21	A+ MLE	2 teams	—	554	498	127	11	2	1	28	113	3	40	13	255	299	291	590	36	323	20	5	252	57	—	—	—	—	—	—
2015	21	A+ RAW	2 teams	—	554	489	129	11	2	1	37	85	3	40	13	264	319	301	620	37	313	15	7	274	57	—	—	—	—	—	—
2016	22	AA MLE	2 teams	—	397	351	92	7	4	0	27	90	3	12	8	262	320	305	625	43	348	23	7	272	70	—	—	—	—	—	—
2016	22	AA RAW	2 teams	—	397	339	90	7	4	0	39	70	3	12	8	265	346	310	656	44	331	18	10	293	70	—	—	—	—	—	—
2017	23	AAA MLE	3 teams	—	562	521	110	17	2	0	22	127	6	4	8	211	251	251	503	40	274	23	4	222	37	—	—	—	—	—	—
2017	23	AAA RAW	3 teams	—	562	511	118	19	4	0	32	104	6	4	8	231	284	284	568	53	284	19	6	255	37	—	—	—	—	—	—
2018	24	AAA MLE	2 teams	—	74	68	12	3	2	0	5	18	0	0	0	176	233	279	512	103	235	24	7	214	31	—	—	—	—	—	—
2018	24	AAA RAW	2 teams	—	74	69	14	2	1	0	4	16	0	0	0	203	247	261	507	58	259	22	5	229	31	—	—	—	—	—	—
2019	25	INTL MLE	2 teams	—	301	266	45	13	2	0	21	93	10	3	3	169	256	233	489	64	260	31	7	217	33	—	—	—	—	—	—
2019	25	INTL RAW	2 teams	—	301	256	57	12	2	0	31	64	10	3	3	223	330	285	615	62	297	21	10	287	33	—	—	—	—	—	—
2020	26	INTL MLE	Navegantes del Magallanes	—	107	93	30	8	3	2	8	16	5	0	1	323	406	538	943	215	373	15	7	—	—	—	—	—	—	—	—
2020	26	INTL RAW	Navegantes del Magallanes	—	107	93	30	8	3	2	8	16	5	0	1	323	406	538	943	215	373	15	7	410	164	—	—	—	—	—	—
2021	27	INTL MLE	Venezuela	—	90	78	19	4	0	3	7	13	4	1	1	244	333	410	744	167	258	14	8	—	—	—	—	—	—	—	—
2021	27	INTL RAW	Venezuela	—	90	78	19	4	0	3	7	13	4	1	1	244	333	410	744	167	258	14	8	334	112	—	—	—	—	—	—
2022	28	INTL MLE	Navegantes del Magallanes	—	38	34	13	1	0	0	3	5	0	1	0	382	432	412	844	29	448	13	8	—	—	—	—	—	—	—	—
2022	28	INTL RAW	Navegantes del Magallanes	—	38	34	13	1	0	0	3	5	0	1	0	382	432	412	844	29	448	13	8	375	140	—	—	—	—	—	—
2023	29	INTL MLE	Caribes de Anzoategui	—	28	20	5	0	0	0	5	1	2	0	0	250	444	250	694		263	4	18	—	—	—	—	—	—	—	—
2023	29	INTL RAW	Caribes de Anzoategui	—	28	20	5	0	0	0	5	1	2	0	0	250	444	250	694		263	4	18	339	115	—	—	—	—	—	—
2012	18	ROK MLE	DSL Twins	—	181	163	29	2	2	0	12	33	4	16	5	178	251	215	466	37	215	18	7	214	31	—	—	—	—	—	—
2013	19	ROK MLE	Elizabethton Twins	—	178	162	29	2	0	0	10	43	4	8	3	179	247	191	438	12	236	24	6	204	24	—	—	—	—	—	—
2014	20	A MLE	Cedar Rapids Kernels	—	459	434	100	10	4	1	19	99	3	10	6	230	272	279	551	48	289	22	4	242	50	—	—	—	—	—	—
2015	21	A+ MLE	2 teams	—	554	518	127	11	2	1	28	113	3	40	13	245	299	280	579	35	302	20	5	252	57	—	—	—	—	—	—
2016	22	AA MLE	2 teams	—	397	364	92	7	4	0	27	90	3	12	8	253	320	294	614	41	327	23	7	272	70	—	—	—	—	—	—
2017	23	AAA MLE	3 teams	—	562	529	110	17	2	0	22	127	6	4	8	208	251	248	499	40	262	23	4	222	37	—	—	—	—	—	—
2018	24	AAA MLE	2 teams	—	74	69	12	3	2	0	5	18	0	0	0	174	233	275	508	101	216	24	7	214	31	—	—	—	—	—	—
2019	25	INTL MLE	2 teams	—	301	267	45	13	2	0	21	93	10	3	3	169	256	232	488	64	250	31	7	217	33	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2969	2679	611	78	21	7	167	651	44	95	48	228	284	281	565	53	295	22	6	215	32	-240	-0	-0	+31	+64	-14.8
/ 162G	—	MLE		—	650	587	135	17	5	2	37	143	10	21	11	230	288	286	574	56	297	22	6	215	32	-53	-0	-0	+7	+14	-3.3

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 AAANorfolk Tides · 132 PAwOBA .268 → .217 (−51)K% 25.0% → 30.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷0.973	×1.200	—	—	30.82%
BB% (unintentional) /PA	10.61%	÷1.103	×0.690	—	×1.033	6.85%
HBP% /PA	2.27%	—	×0.940	—	×1.033	2.21%
Singles /BIP	18.75%	÷1.033	×0.930	×0.950	×1.033	16.57%
Doubles /BIP	8.75%	÷0.990	×0.830	×0.950	×1.033	7.20%
Triples /BIP	1.25%	÷0.954	×0.970	×0.950	×1.033	1.25%
Home runs /BIP	0.00%	÷0.889	×0.840	—	×1.033	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 78, 1B 107, 2B 98, 3B 91, K 95, BB 121 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .268 → .217; ISO .080 → .068; BABIP .287 → .250. 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 AAANorfolk Tides · 43 PAwOBA .246 → .214 (−32)K% 20.9% → 24.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.93%	÷1.009	×1.200	—	—	24.89%
BB% (unintentional) /PA	9.30%	÷0.997	×0.690	—	×1.048	6.75%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	13.79%	÷0.984	×0.930	—	×1.048	13.66%
Doubles /BIP	6.90%	÷1.063	×0.830	—	×1.048	5.64%
Triples /BIP	3.45%	÷1.150	×0.970	—	×1.048	3.05%
Home runs /BIP	0.00%	÷0.964	×0.840	—	×1.048	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 93, 1B 97, 2B 113, 3B 130, K 102, BB 99 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average).

Result: wOBA .246 → .214; ISO .105 → .091; BABIP .233 → .216. 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 AAARochester Red Wings · 314 PAwOBA .219 → .193 (−26)K% 22.9% → 27.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.93%	÷0.997	×1.200	—	—	27.60%
BB% (unintentional) /PA	3.50%	÷1.080	×0.690	—	×1.050	2.35%
HBP% /PA	0.32%	—	×0.940	—	×1.050	0.31%
Singles /BIP	20.98%	÷1.019	×0.930	×1.011	×1.050	20.32%
Doubles /BIP	5.36%	÷1.085	×0.830	×1.011	×1.050	4.35%
Triples /BIP	0.89%	÷1.085	×0.970	×1.011	×1.050	0.85%
Home runs /BIP	0.00%	÷0.956	×0.840	—	×1.050	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 104, 2B 117, 3B 117, K 99, BB 116 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.011.

Result: wOBA .219 → .193; ISO .054 → .045; BABIP .266 → .250. 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 AAChattanooga Lookouts · 141 PAwOBA .310 → .288 (−22)K% 9.2% → 11.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.22%	÷1.008	×1.220	—	—	11.16%
BB% (unintentional) /PA	9.93%	÷0.940	×0.680	—	×1.027	7.38%
HBP% /PA	1.42%	—	×0.840	—	×1.027	1.22%
Singles /BIP	27.36%	÷1.007	×0.920	×1.002	×1.027	25.71%
Doubles /BIP	4.72%	÷1.084	×0.910	×1.002	×1.027	4.08%
Triples /BIP	0.00%	÷1.018	×0.880	×1.002	×1.027	0.00%
Home runs /BIP	0.00%	÷0.975	×0.800	—	×1.027	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 95, 1B 101, 2B 117, 3B 104, K 102, BB 88 — 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 ×1.002.

Result: wOBA .310 → .288; ISO .042 → .039; BABIP .312 → .290. 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 AAChattanooga Lookouts · 367 PAwOBA .290 → .277 (−14)K% 16.9% → 21.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.89%	÷0.961	×1.220	—	—	21.46%
BB% (unintentional) /PA	9.26%	÷1.039	×0.680	—	×1.042	6.32%
HBP% /PA	0.82%	—	×0.840	—	×1.042	0.72%
Singles /BIP	29.37%	÷1.005	×0.920	×1.046	×1.042	29.32%
Doubles /BIP	2.78%	÷1.108	×0.910	×1.046	×1.042	2.49%
Triples /BIP	1.59%	÷0.900	×0.880	×1.046	×1.042	1.69%
Home runs /BIP	0.00%	÷1.301	×0.800	—	×1.042	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 160, 1B 101, 2B 122, 3B 80, K 92, BB 108 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.046.

Result: wOBA .290 → .277; ISO .048 → .049; BABIP .333 → .331. 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+Fort Myers Miracle · 30 PAwOBA .262 → .208 (−53)K% 26.7% → 38.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.67%	÷0.983	×1.420	—	—	38.53%
BB% (unintentional) /PA	16.67%	÷0.974	×0.750	—	×1.012	12.99%
HBP% /PA	0.00%	—	×0.930	—	×1.012	0.00%
Singles /BIP	29.41%	÷0.985	×0.920	—	×1.012	27.80%
Doubles /BIP	0.00%	÷1.012	×0.960	—	×1.012	0.00%
Triples /BIP	0.00%	÷0.907	×0.810	—	×1.012	0.00%
Home runs /BIP	0.00%	÷0.881	×0.880	—	×1.012	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 76, 1B 97, 2B 102, 3B 81, K 97, BB 95 — 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).

Result: wOBA .262 → .208; ISO .000 → .000; BABIP .294 → .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).

2015 A+Fort Myers Miracle · 501 PAwOBA .273 → .252 (−21)K% 14.2% → 20.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.17%	÷0.984	×1.420	—	—	20.44%
BB% (unintentional) /PA	6.99%	÷1.072	×0.750	—	×1.027	5.02%
HBP% /PA	0.20%	—	×0.930	—	×1.027	0.19%
Singles /BIP	28.92%	÷1.040	×0.920	×1.046	×1.027	27.48%
Doubles /BIP	2.43%	÷0.962	×0.960	×1.046	×1.027	2.61%
Triples /BIP	0.54%	÷0.900	×0.810	×1.046	×1.027	0.52%
Home runs /BIP	0.27%	÷1.106	×0.880	—	×1.027	0.22%

Factors used: league row FSL. Park (home-season share, regressed): HR 121, 1B 108, 2B 92, 3B 80, K 97, BB 114 — 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 ×1.046.

Result: wOBA .273 → .252; ISO .036 → .036; BABIP .315 → .302. 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 ACedar Rapids Kernels · 459 PAwOBA .281 → .242 (−39)K% 15.5% → 21.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.47%	÷0.977	×1.360	—	—	21.53%
BB% (unintentional) /PA	6.10%	÷1.033	×0.690	—	×1.030	4.20%
HBP% /PA	0.65%	—	×0.780	—	×1.030	0.53%
Singles /BIP	26.80%	÷1.029	×0.920	×1.018	×1.030	25.12%
Doubles /BIP	3.75%	÷1.057	×0.830	×1.018	×1.030	3.08%
Triples /BIP	1.15%	÷1.034	×0.910	×1.018	×1.030	1.06%
Home runs /BIP	0.29%	÷1.098	×0.800	—	×1.030	0.22%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 120, 1B 106, 2B 111, 3B 107, K 95, BB 107 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.

Result: wOBA .281 → .242; ISO .057 → .047; BABIP .313 → .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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .