Andy Pineda

PosCF

B/TL/R

Born1996-11-11

Age (2027)30

No MLB projection yet. Career stats below are historical.

Overview

ALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	19	ROKGCL Astros	155	.262/.316/.298	0	16	24	—	.207/.243/.234
2018	21	AAHOU	71	.338/.394/.492	2	3	107	—	.303/.352/.455
2019	22	AKC	48	.250/.298/.273	0	3	24	—	.200/.234/.222

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)
2014	17	ROK	DSL Astros Blue	—	263	215	60	1	3	0	30	54	8	23	12	279	387	312	699	33	368	21	11	318	42	—	—	—	—	—	—
2015	18	ROK	DSL Astros Blue	—	320	249	73	10	4	1	46	44	9	30	16	293	421	378	799	84	348	14	14	352	56	—	—	—	—	—	—
2016	19	ROK	GCL Astros	—	155	141	37	5	0	0	9	24	2	16	5	262	316	298	614	35	316	15	6	278	24	—	—	—	—	—	—
2018	21	AA	Corpus Christi Hooks	—	71	65	22	2	1	2	4	16	2	3	3	338	394	492	887	154	426	23	6	394	107	—	—	—	—	—	—
2019	22	A	Quad Cities River Bandits	—	48	44	11	1	0	0	3	14	0	3	2	250	298	273	571	23	355	29	6	259	24	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2014	17	ROK MLE	DSL Astros Blue	—	263	224	46	1	2	0	21	66	8	23	12	205	296	228	524	22	262	25	8	230	42	—	—	—	—	—	—
2015	18	ROK MLE	DSL Astros Blue	—	320	264	56	7	3	1	31	54	9	30	16	212	316	273	589	61	235	17	10	251	56	—	—	—	—	—	—
2016	19	ROK MLE	GCL Astros	—	155	145	30	4	0	0	5	35	2	16	5	207	243	234	478	28	255	23	3	203	24	—	—	—	—	—	—
2018	21	AA MLE	Corpus Christi Hooks	—	71	66	20	2	1	2	3	20	2	3	3	303	352	455	807	152	393	28	4	327	107	—	—	—	—	—	—
2019	22	A MLE	Quad Cities River Bandits	—	48	45	9	1	0	0	2	19	0	3	2	200	234	222	456	22	322	40	4	204	24	—	—	—	—	—	—
2014	17	ROK MLE	DSL Astros Blue	—	263	224	46	1	2	0	21	66	8	23	12	205	296	228	524	22	287	25	8	230	42	—	—	—	—	—	—
2014	17	ROK RAW	DSL Astros Blue	—	263	215	60	1	3	0	30	54	8	23	12	279	387	312	699	33	368	21	11	318	42	—	—	—	—	—	—
2015	18	ROK MLE	DSL Astros Blue	—	320	264	56	7	3	1	31	54	9	30	16	212	316	273	589	61	259	17	10	251	56	—	—	—	—	—	—
2015	18	ROK RAW	DSL Astros Blue	—	320	249	73	10	4	1	46	44	9	30	16	293	421	378	799	84	348	14	14	352	56	—	—	—	—	—	—
2016	19	ROK MLE	GCL Astros	—	155	145	30	4	0	0	5	35	2	16	5	207	243	234	478	28	273	23	3	203	24	—	—	—	—	—	—
2016	19	ROK RAW	GCL Astros	—	155	141	37	5	0	0	9	24	2	16	5	262	316	298	614	35	316	15	6	278	24	—	—	—	—	—	—
2018	21	AA MLE	Corpus Christi Hooks	—	71	66	20	2	1	2	3	20	2	3	3	303	352	455	807	152	409	28	4	327	107	—	—	—	—	—	—
2018	21	AA RAW	Corpus Christi Hooks	—	71	65	22	2	1	2	4	16	2	3	3	338	394	492	887	154	426	23	6	394	107	—	—	—	—	—	—
2019	22	A MLE	Quad Cities River Bandits	—	48	45	9	1	0	0	2	19	0	3	2	200	234	222	456	22	333	40	4	204	24	—	—	—	—	—	—
2019	22	A RAW	Quad Cities River Bandits	—	48	44	11	1	0	0	3	14	0	3	2	250	298	273	571	23	355	29	6	259	24	—	—	—	—	—	—
2014	17	ROK MLE	DSL Astros Blue	—	263	232	46	1	2	0	21	66	8	23	12	198	296	220	516	22	262	25	8	230	42	—	—	—	—	—	—
2015	18	ROK MLE	DSL Astros Blue	—	320	277	56	7	3	1	31	54	9	30	16	202	316	260	576	58	235	17	10	251	56	—	—	—	—	—	—
2016	19	ROK MLE	GCL Astros	—	155	147	30	4	0	0	5	35	2	16	5	204	243	231	475	27	255	23	3	203	24	—	—	—	—	—	—
2018	21	AA MLE	Corpus Christi Hooks	—	71	66	20	2	1	2	3	20	2	3	3	303	352	455	807	152	393	28	4	327	107	—	—	—	—	—	—
2019	22	A MLE	Quad Cities River Bandits	—	48	46	9	1	0	0	2	19	0	3	2	196	234	217	451	22	322	40	4	204	24	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	857	744	161	15	6	3	62	194	21	75	38	216	295	265	560	48	286	23	7	240	48	-53	-0	+0	+3	+19	-3.2
/ 162G	—	MLE		—	650	564	122	11	5	2	47	147	16	57	29	216	295	264	559	48	286	23	7	240	48	-40	-0	+0	+2	+14	-2.4

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 AQuad Cities River Bandits · 48 PAwOBA .258 → .204 (−54)K% 29.2% → 39.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.17%	÷1.006	×1.360	—	—	39.42%
BB% (unintentional) /PA	6.25%	÷1.010	×0.690	—	×0.990	4.23%
HBP% /PA	0.00%	—	×0.780	—	×0.990	0.00%
Singles /BIP	33.33%	÷0.979	×0.920	—	×0.990	31.00%
Doubles /BIP	3.33%	÷1.128	×0.830	—	×0.990	2.43%
Triples /BIP	0.00%	÷1.150	×0.910	—	×0.990	0.00%
Home runs /BIP	0.00%	÷0.964	×0.800	—	×0.990	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 93, 1B 96, 2B 126, 3B 130, K 101, BB 102 — 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 .258 → .204; ISO .023 → .015; BABIP .355 → .322. 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 AACorpus Christi Hooks · 71 PAwOBA .384 → .327 (−57)K% 22.5% → 27.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.54%	÷0.997	×1.220	—	—	27.58%
BB% (unintentional) /PA	5.63%	÷1.036	×0.700	—	×1.042	3.97%
HBP% /PA	2.82%	—	×0.870	—	×1.042	2.55%
Singles /BIP	34.69%	÷1.023	×0.920	—	×1.042	32.50%
Doubles /BIP	4.08%	÷1.075	×0.840	—	×1.042	3.32%
Triples /BIP	2.04%	÷0.900	×0.940	—	×1.042	2.22%
Home runs /BIP	4.08%	÷1.059	×0.800	—	×1.042	3.21%

Factors used: league row TL. Park (home-season share, regressed): HR 112, 1B 105, 2B 115, 3B 80, K 99, BB 107 — 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).

Result: wOBA .384 → .327; ISO .154 → .125; BABIP .426 → .393. 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 ROKGCL Astros · 155 PAwOBA .269 → .203 (−65)K% 15.5% → 22.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.48%	÷1.000	×1.440	—	—	22.30%
BB% (unintentional) /PA	5.16%	÷1.000	×0.620	—	×0.995	3.18%
HBP% /PA	1.29%	—	×0.720	—	×0.995	0.92%
Singles /BIP	27.35%	÷1.000	×0.820	×1.004	×0.995	22.39%
Doubles /BIP	4.27%	÷1.000	×0.720	×1.004	×0.995	3.07%
Triples /BIP	0.00%	÷1.000	×0.720	×1.004	×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 ×1.004.

Result: wOBA .269 → .203; ISO .035 → .025; BABIP .316 → .255. 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 Astros Blue · 320 PAwOBA .345 → .251 (−94)K% 13.8% → 16.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.75%	÷1.000	×1.220	—	—	16.78%
BB% (unintentional) /PA	13.75%	÷1.000	×0.700	—	×0.995	9.58%
HBP% /PA	2.81%	—	×0.700	—	×0.995	1.96%
Singles /BIP	28.29%	÷1.000	×0.680	×1.023	×0.995	19.58%
Doubles /BIP	4.88%	÷1.000	×0.600	×1.023	×0.995	2.98%
Triples /BIP	1.95%	÷1.000	×0.600	×1.023	×0.995	1.19%
Home runs /BIP	0.49%	÷1.000	×0.470	—	×0.995	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 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 ×1.023.

Result: wOBA .345 → .251; ISO .084 → .056; BABIP .348 → .235. 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 DSLDSL Astros Blue · 263 PAwOBA .313 → .230 (−83)K% 20.5% → 25.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.53%	÷1.000	×1.220	—	—	25.05%
BB% (unintentional) /PA	11.41%	÷1.000	×0.700	—	×1.008	8.04%
HBP% /PA	3.04%	—	×0.700	—	×1.008	2.15%
Singles /BIP	34.78%	÷1.000	×0.680	×1.048	×1.008	24.97%
Doubles /BIP	0.62%	÷1.000	×0.600	×1.048	×1.008	0.39%
Triples /BIP	1.86%	÷1.000	×0.600	×1.048	×1.008	1.18%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×1.008	0.00%

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 ×1.048.

Result: wOBA .313 → .230; ISO .033 → .022; BABIP .368 → .262. 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).