Gleyvin Pineda

PosSS

B/TL/R

Born1996-08-19

Age (2027)30

No MLB projection yet. Career stats below are historical.

Overview

A+LAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	20	ROKAZL Angels	153	.316/.397/.383	0	4	59	—	.236/.291/.286
2018	21	ABurlington Be…	172	.248/.345/.309	2	2	49	—	.205/.275/.256
2019	22	A+/A2 orgs	485	.255/.336/.328	4	6	39	—	.194/.255/.253

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	18	ROK	DSL Angels	—	247	208	46	5	3	1	37	39	2	8	9	221	344	288	633	67	268	16	15	300	24	—	—	—	—	—	—
2016	19	ROK	AZL Angels	—	173	148	35	3	0	0	20	40	3	12	4	236	339	257	596	20	321	23	12	283	25	—	—	—	—	—	—
2017	20	ROK	AZL Angels	—	153	133	42	7	1	0	18	29	0	4	3	316	397	383	781	68	404	19	12	352	59	—	—	—	—	—	—
2018	21	A	Burlington Bees	—	172	149	37	3	0	2	21	38	1	2	1	248	345	309	654	60	318	22	12	304	49	—	—	—	—	—	—
2019	22	A+	Inland Empire 66ers	—	367	324	81	9	2	2	34	93	3	3	3	250	327	309	636	59	341	25	9	290	34	—	—	—	—	—	—
2019	22	A	Burlington Bees	—	118	103	28	4	1	2	15	29	0	3	0	272	364	388	753	117	361	25	13	342	56	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	18	ROK MLE	DSL Angels	—	247	219	32	3	2	0	26	48	2	8	9	146	243	178	421	32	186	19	11	204	24	—	—	—	—	—	—
2016	19	ROK MLE	AZL Angels	—	173	156	28	2	0	0	12	58	3	12	4	179	251	192	444	13	272	34	7	205	25	—	—	—	—	—	—
2017	20	ROK MLE	AZL Angels	—	153	140	33	5	1	0	11	42	0	4	3	236	291	286	577	50	331	27	7	255	59	—	—	—	—	—	—
2018	21	A MLE	Burlington Bees	—	172	156	32	2	0	2	14	53	1	2	1	205	275	256	531	51	295	31	8	240	49	—	—	—	—	—	—
2019	22	A+ MLE	Inland Empire 66ers	—	367	334	63	7	1	2	24	125	3	3	3	189	249	234	483	45	283	34	7	218	34	—	—	—	—	—	—
2019	22	A MLE	Burlington Bees	—	118	109	23	3	1	2	9	41	0	3	0	211	271	312	583	101	313	35	8	251	56	—	—	—	—	—	—
2015	18	ROK MLE	DSL Angels	—	247	219	32	3	2	0	26	48	2	8	9	146	243	178	421	32	187	19	11	204	24	—	—	—	—	—	—
2015	18	ROK RAW	DSL Angels	—	247	208	46	5	3	1	37	39	2	8	9	221	344	288	633	67	268	16	15	300	24	—	—	—	—	—	—
2016	19	ROK MLE	AZL Angels	—	173	156	28	2	0	0	12	58	3	12	4	179	251	192	444	13	283	34	7	205	25	—	—	—	—	—	—
2016	19	ROK RAW	AZL Angels	—	173	148	35	3	0	0	20	40	3	12	4	236	339	257	596	20	321	23	12	283	25	—	—	—	—	—	—
2017	20	ROK MLE	AZL Angels	—	153	140	33	5	1	0	11	42	0	4	3	236	291	286	577	50	337	27	7	255	59	—	—	—	—	—	—
2017	20	ROK RAW	AZL Angels	—	153	133	42	7	1	0	18	29	0	4	3	316	397	383	781	68	404	19	12	352	59	—	—	—	—	—	—
2018	21	A MLE	Burlington Bees	—	172	156	32	2	0	2	14	53	1	2	1	205	275	256	531	51	294	31	8	240	49	—	—	—	—	—	—
2018	21	A RAW	Burlington Bees	—	172	149	37	3	0	2	21	38	1	2	1	248	345	309	654	60	318	22	12	304	49	—	—	—	—	—	—
2019	22	A+ MLE	2 teams	—	485	443	86	10	2	3	33	166	3	6	3	194	255	246	501	52	300	34	7	226	39	—	—	—	—	—	—
2019	22	A+ RAW	2 teams	—	485	427	109	13	3	4	49	122	3	6	3	255	336	328	664	73	345	25	10	303	39	—	—	—	—	—	—
2015	18	ROK MLE	DSL Angels	—	247	217	32	3	2	0	26	48	2	8	9	147	243	180	423	32	186	19	11	204	24	—	—	—	—	—	—
2016	19	ROK MLE	AZL Angels	—	173	156	28	2	0	0	12	58	3	12	4	179	251	192	444	13	272	34	7	205	25	—	—	—	—	—	—
2017	20	ROK MLE	AZL Angels	—	153	141	33	5	1	0	11	42	0	4	3	234	291	284	575	50	331	27	7	255	59	—	—	—	—	—	—
2018	21	A MLE	Burlington Bees	—	172	155	32	2	0	2	14	53	1	2	1	206	275	258	533	52	295	31	8	240	49	—	—	—	—	—	—
2019	22	A+ MLE	2 teams	—	485	446	86	10	2	3	33	166	3	6	3	193	255	244	499	52	290	34	7	226	39	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1230	1114	211	22	5	5	96	367	9	32	20	189	259	232	491	42	276	30	8	224	38	-91	-2	+0	+13	+27	-5.4
/ 162G	—	MLE		—	650	589	113	12	3	3	51	194	5	17	11	192	262	238	500	46	278	30	8	224	38	-48	-1	+0	+7	+14	-2.9

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 A+Inland Empire 66ers · 367 PAwOBA .284 → .218 (−66)K% 25.3% → 34.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.34%	÷0.997	×1.340	—	—	34.07%
BB% (unintentional) /PA	8.99%	÷0.968	×0.710	—	×0.998	6.58%
HBP% /PA	0.82%	—	×0.790	—	×0.998	0.64%
Singles /BIP	29.44%	÷1.024	×0.910	×0.950	×0.998	24.81%
Doubles /BIP	3.90%	÷0.985	×0.820	×0.950	×0.998	3.07%
Triples /BIP	0.87%	÷1.150	×0.760	×0.950	×0.998	0.54%
Home runs /BIP	0.87%	÷0.939	×0.920	—	×0.998	0.85%

Factors used: league row CAL. Park (home-season share, regressed): HR 88, 1B 105, 2B 97, 3B 130, K 99, BB 94 — 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 ×0.950.

Result: wOBA .284 → .218; ISO .059 → .045; BABIP .341 → .283. 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 ABurlington Bees · 118 PAwOBA .331 → .251 (−80)K% 24.6% → 34.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.58%	÷0.973	×1.360	—	—	34.35%
BB% (unintentional) /PA	11.86%	÷1.081	×0.690	—	×0.990	7.50%
HBP% /PA	0.00%	—	×0.780	—	×0.990	0.00%
Singles /BIP	28.38%	÷1.036	×0.920	—	×0.990	24.94%
Doubles /BIP	5.41%	÷1.017	×0.830	—	×0.990	4.37%
Triples /BIP	1.35%	÷0.967	×0.910	—	×0.990	1.26%
Home runs /BIP	2.70%	÷0.960	×0.800	—	×0.990	2.23%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 92, 1B 107, 2B 103, 3B 93, K 95, BB 116 — 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).

Result: wOBA .331 → .251; ISO .117 → .090; BABIP .361 → .313. 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 ABurlington Bees · 172 PAwOBA .299 → .240 (−59)K% 22.1% → 31.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.09%	÷0.970	×1.360	—	—	30.98%
BB% (unintentional) /PA	12.21%	÷1.042	×0.690	—	—	8.09%
HBP% /PA	0.58%	—	×0.780	—	—	0.45%
Singles /BIP	28.83%	÷1.009	×0.920	×1.037	—	27.25%
Doubles /BIP	2.70%	÷1.147	×0.830	×1.037	—	2.03%
Triples /BIP	0.00%	÷0.900	×0.910	×1.037	—	0.00%
Home runs /BIP	1.80%	÷0.907	×0.800	—	—	1.59%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 81, 1B 102, 2B 129, 3B 80, K 94, BB 108 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.037.

Result: wOBA .299 → .240; ISO .060 → .047; BABIP .318 → .295. 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 ROKAZL Angels · 153 PAwOBA .344 → .255 (−89)K% 19.0% → 27.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.95%	÷1.000	×1.440	—	—	27.29%
BB% (unintentional) /PA	11.76%	÷1.000	×0.620	—	×0.985	7.18%
HBP% /PA	0.00%	—	×0.720	—	×0.985	0.00%
Singles /BIP	32.69%	÷1.000	×0.820	×1.038	×0.985	27.42%
Doubles /BIP	6.73%	÷1.000	×0.720	×1.038	×0.985	4.96%
Triples /BIP	0.96%	÷1.000	×0.720	×1.038	×0.985	0.71%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.985	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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.038.

Result: wOBA .344 → .255; ISO .068 → .048; BABIP .404 → .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 ROKAZL Angels · 173 PAwOBA .278 → .205 (−73)K% 23.1% → 33.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.12%	÷1.000	×1.440	—	—	33.29%
BB% (unintentional) /PA	11.56%	÷1.000	×0.620	—	×0.995	7.13%
HBP% /PA	1.73%	—	×0.720	—	×0.995	1.24%
Singles /BIP	29.63%	÷1.000	×0.820	×1.050	×0.995	25.38%
Doubles /BIP	2.78%	÷1.000	×0.720	×1.050	×0.995	2.09%
Triples /BIP	0.00%	÷1.000	×0.720	×1.050	×0.995	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.995	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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .278 → .205; ISO .020 → .014; BABIP .321 → .272. 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 DSLDSL Angels · 247 PAwOBA .293 → .204 (−90)K% 15.8% → 19.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.79%	÷1.000	×1.220	—	—	19.26%
BB% (unintentional) /PA	14.98%	÷1.000	×0.700	—	×0.995	10.43%
HBP% /PA	0.81%	—	×0.700	—	×0.995	0.56%
Singles /BIP	21.89%	÷1.000	×0.680	×1.049	×0.995	15.54%
Doubles /BIP	2.96%	÷1.000	×0.600	×1.049	×0.995	1.85%
Triples /BIP	1.78%	÷1.000	×0.600	×1.049	×0.995	1.11%
Home runs /BIP	0.59%	÷1.000	×0.470	—	×0.995	0.28%

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 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.049.

Result: wOBA .293 → .204; ISO .067 → .041; BABIP .268 → .186. 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).