Jesus Galindo

PosCF

B/TS/R

Born1990-08-23

Age (2027)36

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2016	25	INTLLeones del Ca…	84	.260/.321/.377	2	1	99	—
2017	26	INTLTigres de Ara…	21	.158/.200/.158	0	1	-3	—
2019	28	INTLLeones del Ca…	27	.273/.385/.318	0	0	102	—

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)
2009	18	ROK	DSL Giants	—	222	168	41	5	2	0	37	49	8	22	4	244	404	298	701	54	345	22	17	325	44	—	—	—	—	—	—
2010	19	ROK	DSL Giants	—	209	167	41	6	0	0	35	30	4	43	7	246	388	281	670	36	295	14	17	319	38	—	—	—	—	—	—
2012	21	A	Augusta GreenJackets	—	291	250	63	8	3	0	24	49	7	40	11	252	335	308	643	56	312	17	8	289	63	—	—	—	—	—	—
2013	22	A	Augusta GreenJackets	—	370	326	89	9	2	1	31	80	5	50	6	273	345	322	667	49	353	22	8	302	59	—	—	—	—	—	—
2013	22	INTL	Leones del Caracas	—	42	33	7	0	0	0	6	12	2	3	0	212	366	212	578		333	29	14	285	79	—	—	—	—	—	—
2014	23	A+	San Jose Giants	—	445	396	106	22	8	2	31	87	9	31	13	268	335	379	714	111	338	20	7	316	66	—	—	—	—	—	—
2015	24	AA	Richmond Flying Squirrels	—	107	98	21	3	0	0	7	20	1	5	3	214	274	245	518	31	269	19	7	241	32	—	—	—	—	—	—
2015	24	A+	San Jose Giants	—	256	225	61	8	1	2	17	54	4	14	6	271	333	342	676	71	349	21	7	297	53	—	—	—	—	—	—
2015	24	INTL	Leones del Caracas	—	17	14	2	0	0	0	3	2	0	1	0	143	294	143	437		167	12	18	230	42	—	—	—	—	—	—
2016	25	INTL	Leones del Caracas	—	84	77	20	3	0	2	7	22	0	1	1	260	321	377	698	117	340	26	8	315	99	—	—	—	—	—	—
2017	26	INTL	Tigres de Aragua	—	21	19	3	0	0	0	0	4	1	1	0	158	200	158	358		200	19	0	164	-3	—	—	—	—	—	—
2019	28	INTL	Leones del Caracas	—	27	22	6	1	0	0	4	7	0	0	0	273	385	318	703	45	400	26	15	319	102	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	18	ROK MLE	DSL Giants	—	222	179	31	3	1	0	26	60	8	22	4	173	305	201	506	28	240	27	12	233	44	—	—	—	—	—	—
2010	19	ROK MLE	DSL Giants	—	209	178	30	4	0	0	24	37	4	43	7	169	282	191	473	22	204	18	11	225	38	—	—	—	—	—	—
2012	21	A MLE	Augusta GreenJackets	—	291	258	63	8	3	0	16	61	7	40	11	244	306	298	604	54	300	21	5	262	63	—	—	—	—	—	—
2013	22	A MLE	Augusta GreenJackets	—	370	337	82	7	2	1	20	107	5	50	6	243	296	285	580	42	332	29	5	255	59	—	—	—	—	—	—
2014	23	A+ MLE	San Jose Giants	—	445	406	96	19	6	2	21	113	9	31	13	236	289	328	617	91	312	25	5	266	66	—	—	—	—	—	—
2015	24	AA MLE	Richmond Flying Squirrels	—	107	100	21	3	0	0	5	24	1	5	3	210	255	240	495	30	266	22	5	215	32	—	—	—	—	—	—
2015	24	A+ MLE	San Jose Giants	—	256	230	55	6	1	2	12	74	4	14	6	239	289	300	589	61	321	29	5	247	53	—	—	—	—	—	—
2009	18	ROK MLE	DSL Giants	—	222	179	31	3	1	0	26	60	8	22	4	173	305	201	506	28	261	27	12	233	44	—	—	—	—	—	—
2009	18	ROK RAW	DSL Giants	—	222	168	41	5	2	0	37	49	8	22	4	244	404	298	701	54	345	22	17	325	44	—	—	—	—	—	—
2010	19	ROK MLE	DSL Giants	—	209	178	30	4	0	0	24	37	4	43	7	169	282	191	473	22	210	18	11	225	38	—	—	—	—	—	—
2010	19	ROK RAW	DSL Giants	—	209	167	41	6	0	0	35	30	4	43	7	246	388	281	670	36	295	14	17	319	38	—	—	—	—	—	—
2012	21	A MLE	Augusta GreenJackets	—	291	258	63	8	3	0	16	61	7	40	11	244	306	298	604	54	318	21	5	262	63	—	—	—	—	—	—
2012	21	A RAW	Augusta GreenJackets	—	291	250	63	8	3	0	24	49	7	40	11	252	335	308	643	56	312	17	8	289	63	—	—	—	—	—	—
2013	22	A MLE	2 teams	—	412	374	91	8	2	1	22	119	7	53	6	243	298	283	581	40	349	29	5	255	59	—	—	—	—	—	—
2013	22	A RAW	2 teams	—	412	359	96	9	2	1	37	92	7	53	6	267	347	312	659	45	352	22	9	301	59	—	—	—	—	—	—
2014	23	A+ MLE	San Jose Giants	—	445	406	96	19	6	2	21	113	9	31	13	236	289	328	617	91	322	25	5	266	66	—	—	—	—	—	—
2014	23	A+ RAW	San Jose Giants	—	445	396	106	22	8	2	31	87	9	31	13	268	335	379	714	111	338	20	7	316	66	—	—	—	—	—	—
2015	24	A+ MLE	3 teams	—	380	347	79	9	1	2	17	103	5	20	9	228	274	277	550	49	318	27	4	238	47	—	—	—	—	—	—
2015	24	A+ RAW	3 teams	—	380	337	84	11	1	2	27	76	5	20	9	249	314	306	620	56	317	20	7	278	47	—	—	—	—	—	—
2016	25	INTL MLE	Leones del Caracas	—	84	77	20	3	0	2	7	22	0	1	1	260	321	377	698	117	340	26	8	—	—	—	—	—	—	—	—
2016	25	INTL RAW	Leones del Caracas	—	84	77	20	3	0	2	7	22	0	1	1	260	321	377	698	117	340	26	8	315	99	—	—	—	—	—	—
2017	26	INTL MLE	Tigres de Aragua	—	21	19	3	0	0	0	0	4	1	1	0	158	200	158	358		200	19	0	—	—	—	—	—	—	—	—
2017	26	INTL RAW	Tigres de Aragua	—	21	19	3	0	0	0	0	4	1	1	0	158	200	158	358		200	19	0	164	-3	—	—	—	—	—	—
2019	28	INTL MLE	Leones del Caracas	—	27	22	6	1	0	0	4	7	0	0	0	273	385	318	703	45	400	26	15	—	—	—	—	—	—	—	—
2019	28	INTL RAW	Leones del Caracas	—	27	22	6	1	0	0	4	7	0	0	0	273	385	318	703	45	400	26	15	319	102	—	—	—	—	—	—
2009	18	ROK MLE	DSL Giants	—	222	186	31	3	1	0	26	60	8	22	4	167	305	194	499	27	240	27	12	233	44	—	—	—	—	—	—
2010	19	ROK MLE	DSL Giants	—	209	179	30	4	0	0	24	37	4	43	7	168	282	190	471	22	204	18	11	225	38	—	—	—	—	—	—
2012	21	A MLE	Augusta GreenJackets	—	291	266	63	8	3	0	16	61	7	40	11	237	306	289	596	53	300	21	5	262	63	—	—	—	—	—	—
2013	22	A MLE	2 teams	—	412	380	91	8	2	1	22	119	7	53	6	239	298	279	577	39	332	29	5	255	59	—	—	—	—	—	—
2014	23	A+ MLE	San Jose Giants	—	445	412	96	19	6	2	21	113	9	31	13	233	289	323	612	90	312	25	5	266	66	—	—	—	—	—	—
2015	24	A+ MLE	3 teams	—	380	355	79	9	1	2	17	103	5	20	9	223	274	270	544	48	305	27	4	238	47	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2091	1860	419	55	13	7	137	526	41	211	51	225	293	280	573	55	309	25	7	234	44	-139	+22	+0	+7	+45	-6.5
/ 162G	—	MLE		—	650	578	130	17	4	2	43	164	13	66	16	225	293	279	572	54	309	25	7	234	44	-43	+7	+0	+2	+14	-2.0

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.

2015 A+San Jose Giants · 256 PAwOBA .290 → .247 (−42)K% 21.1% → 28.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.09%	÷0.983	×1.340	—	—	28.76%
BB% (unintentional) /PA	6.64%	÷0.996	×0.710	—	×0.978	4.63%
HBP% /PA	1.56%	—	×0.790	—	×0.978	1.21%
Singles /BIP	29.24%	÷0.971	×0.910	×1.035	×0.978	27.74%
Doubles /BIP	4.68%	÷1.071	×0.820	×1.035	×0.978	3.63%
Triples /BIP	0.58%	÷1.150	×0.760	×1.035	×0.978	0.39%
Home runs /BIP	1.17%	÷1.031	×0.920	—	×0.978	1.02%

Factors used: league row CAL. Park (home-season share, regressed): HR 106, 1B 94, 2B 114, 3B 130, K 97, BB 99 — 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 ×1.035.

Result: wOBA .290 → .247; ISO .071 → .056; BABIP .349 → .321. 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 AARichmond Flying Squirrels · 107 PAwOBA .235 → .215 (−20)K% 18.7% → 22.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.69%	÷1.003	×1.220	—	—	22.74%
BB% (unintentional) /PA	6.54%	÷0.992	×0.700	—	×0.998	4.61%
HBP% /PA	0.93%	—	×0.850	—	×0.998	0.79%
Singles /BIP	23.08%	÷1.013	×0.970	×1.050	×0.998	23.15%
Doubles /BIP	3.85%	÷0.998	×0.860	×1.050	×0.998	3.47%
Triples /BIP	0.00%	÷1.025	×0.950	×1.050	×0.998	0.00%
Home runs /BIP	0.00%	÷0.860	×0.780	—	×0.998	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 72, 1B 103, 2B 100, 3B 105, K 101, BB 98 — 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 .235 → .215; ISO .031 → .027; BABIP .269 → .266. 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 A+San Jose Giants · 445 PAwOBA .308 → .266 (−42)K% 19.6% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.55%	÷1.026	×1.340	—	—	25.55%
BB% (unintentional) /PA	6.97%	÷1.009	×0.710	—	×0.988	4.84%
HBP% /PA	2.02%	—	×0.790	—	×0.988	1.58%
Singles /BIP	23.95%	÷0.996	×0.910	×1.050	×0.988	22.69%
Doubles /BIP	7.12%	÷0.953	×0.820	×1.050	×0.988	6.36%
Triples /BIP	2.59%	÷0.979	×0.760	×1.050	×0.988	2.08%
Home runs /BIP	0.65%	÷0.931	×0.920	—	×0.988	0.63%

Factors used: league row CAL. Park (home-season share, regressed): HR 86, 1B 99, 2B 91, 3B 96, K 105, BB 102 — 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 .308 → .266; ISO .111 → .095; BABIP .338 → .312. 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 AAugusta GreenJackets · 370 PAwOBA .297 → .255 (−42)K% 21.6% → 28.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.62%	÷1.004	×1.340	—	—	28.86%
BB% (unintentional) /PA	8.11%	÷0.977	×0.660	—	×0.990	5.42%
HBP% /PA	1.35%	—	×0.770	—	×0.990	1.03%
Singles /BIP	31.30%	÷1.002	×0.920	×1.050	×0.990	29.88%
Doubles /BIP	3.66%	÷1.078	×0.820	×1.050	×0.990	2.89%
Triples /BIP	0.81%	÷0.953	×0.940	×1.050	×0.990	0.83%
Home runs /BIP	0.41%	÷0.858	×0.820	—	×0.990	0.38%

Factors used: league row SAL. Park (home-season share, regressed): HR 72, 1B 100, 2B 116, 3B 91, K 101, BB 95 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .297 → .255; ISO .049 → .042; BABIP .353 → .332. 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).

2012 AAugusta GreenJackets · 291 PAwOBA .281 → .262 (−20)K% 16.8% → 20.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.84%	÷1.083	×1.340	—	—	20.84%
BB% (unintentional) /PA	7.90%	÷0.944	×0.660	—	—	5.53%
HBP% /PA	2.41%	—	×0.770	—	—	1.85%
Singles /BIP	25.87%	÷1.003	×0.920	×1.050	—	24.93%
Doubles /BIP	3.98%	÷0.943	×0.820	×1.050	—	3.64%
Triples /BIP	1.49%	÷0.909	×0.940	×1.050	—	1.62%
Home runs /BIP	0.00%	÷1.066	×0.820	—	—	0.00%

Factors used: league row SAL. Park (home-season share, regressed): HR 113, 1B 101, 2B 89, 3B 82, K 117, BB 89 — 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 ×1.050.

Result: wOBA .281 → .262; ISO .056 → .057; BABIP .312 → .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).

2010 DSLDSL Giants · 209 PAwOBA .315 → .225 (−91)K% 14.4% → 17.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.35%	÷1.000	×1.220	—	—	17.51%
BB% (unintentional) /PA	16.75%	÷1.000	×0.700	—	×0.985	11.55%
HBP% /PA	1.91%	—	×0.700	—	×0.985	1.32%
Singles /BIP	25.55%	÷1.000	×0.680	×1.050	×0.985	17.97%
Doubles /BIP	4.38%	÷1.000	×0.600	×1.050	×0.985	2.72%
Triples /BIP	0.00%	÷1.000	×0.600	×1.050	×0.985	0.00%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×0.985	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 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .315 → .225; ISO .036 → .024; BABIP .295 → .204. 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).

2009 DSLDSL Giants · 222 PAwOBA .318 → .233 (−85)K% 22.1% → 26.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.07%	÷1.000	×1.220	—	—	26.93%
BB% (unintentional) /PA	16.67%	÷1.000	×0.700	—	×0.995	11.61%
HBP% /PA	3.60%	—	×0.700	—	×0.995	2.51%
Singles /BIP	28.57%	÷1.000	×0.680	×1.050	×0.995	20.30%
Doubles /BIP	4.20%	÷1.000	×0.600	×1.050	×0.995	2.63%
Triples /BIP	1.68%	÷1.000	×0.600	×1.050	×0.995	1.05%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×0.995	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 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 ×1.050.

Result: wOBA .318 → .233; ISO .054 → .037; BABIP .345 → .240. 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 — .