Jesus Arredondo

PosSS

B/TL/R

Born1991-02-20

Age (2027)36

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2020	29	INTLCaneros de lo…	117	.210/.284/.257	0	6	56	—
2021	30	INTLMayos de Navo…	162	.260/.325/.438	6	5	113	—
2022	31	INTLMayos de Navo…	45	.132/.250/.263	1	0	47	—

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)
2011	20	INTL	Caneros de los Mochis	—	63	59	20	1	1	0	3	9	0	0	1	339	371	390	761	51	400	14	5	338	115	—	—	—	—	—	—
2012	21	A	Great Lakes Loons	—	438	394	100	24	5	0	28	41	3	13	8	254	308	340	648	86	280	9	6	285	60	—	—	—	—	—	—
2012	21	INTL	Caneros de los Mochis	—	200	166	38	7	0	0	25	24	1	3	2	229	333	271	604	42	268	12	12	276	73	—	—	—	—	—	—
2013	22	AAA	Acereros del Norte	—	424	374	112	15	6	6	33	54	5	9	14	299	364	420	784	120	335	13	8	342	104	—	—	—	—	—	—
2013	22	INTL	Caneros de los Mochis	—	68	57	14	2	0	0	5	13	2	0	1	246	328	281	609	35	318	19	7	270	69	—	—	—	—	—	—
2014	23	AAA	Acereros del Norte	—	378	334	104	21	1	2	27	47	1	12	5	311	365	398	763	87	355	12	7	330	96	—	—	—	—	—	—
2014	23	INTL	Caneros de los Mochis	—	82	67	13	1	1	0	13	11	0	5	3	194	325	239	564	45	232	13	16	267	67	—	—	—	—	—	—
2015	24	AAA	Pericos de Puebla	—	373	340	122	32	2	5	19	50	3	13	11	359	398	509	907	150	411	13	5	390	111	—	—	—	—	—	—
2015	24	INTL	Caneros de los Mochis	—	210	176	50	15	0	1	31	39	0	8	7	284	391	386	778	102	355	19	15	351	124	—	—	—	—	—	—
2016	25	AAA	Piratas de Campeche	—	383	328	85	13	1	5	48	50	1	15	8	259	355	351	706	91	291	13	13	320	74	—	—	—	—	—	—
2016	25	INTL	Caneros de los Mochis	—	195	160	37	6	0	2	28	38	1	5	3	231	349	306	655	75	285	19	14	299	89	—	—	—	—	—	—
2017	26	AAA	Pericos de Puebla	—	449	398	132	33	1	15	42	65	4	8	5	332	401	533	934	201	363	14	9	407	110	—	—	—	—	—	—
2018	27	INTL	Caneros de los Mochis	—	124	105	21	1	0	1	17	23	0	3	2	200	311	238	550	38	247	19	14	261	63	—	—	—	—	—	—
2019	28	AAA	Pericos de Puebla	—	410	353	100	22	1	16	53	52	1	8	4	283	378	487	866	204	293	13	13	381	80	—	—	—	—	—	—
2019	28	INTL	Caneros de los Mochis	—	218	191	50	8	0	2	21	45	1	4	2	262	338	335	673	73	331	21	10	303	91	—	—	—	—	—	—
2020	29	INTL	Caneros de los Mochis	—	117	105	22	3	1	0	11	25	0	6	0	210	284	257	542	48	275	21	9	252	56	—	—	—	—	—	—
2021	30	INTL	Mayos de Navojoa	—	162	146	38	8	0	6	14	38	0	5	2	260	325	438	763	178	311	23	9	335	113	—	—	—	—	—	—
2022	31	INTL	Mayos de Navojoa	—	45	38	5	2	0	1	5	9	1	0	0	132	250	263	513	132	143	20	11	237	47	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	21	A MLE	Great Lakes Loons	—	438	405	98	20	5	0	17	56	3	13	8	242	278	316	594	74	268	13	4	257	60	—	—	—	—	—	—
2013	22	AAA MLE	Acereros del Norte	—	424	385	116	15	6	5	22	67	5	9	14	301	347	410	757	109	338	16	5	322	104	—	—	—	—	—	—
2014	23	AAA MLE	Acereros del Norte	—	378	342	106	20	1	2	19	60	1	12	5	310	348	392	740	82	349	16	5	310	96	—	—	—	—	—	—
2015	24	AAA MLE	Pericos de Puebla	—	373	346	111	27	2	3	13	66	3	13	11	321	351	436	787	116	374	18	3	332	111	—	—	—	—	—	—
2016	25	AAA MLE	Piratas de Campeche	—	383	343	83	11	1	3	33	62	1	15	8	242	310	306	616	64	278	16	9	277	74	—	—	—	—	—	—
2017	26	AAA MLE	Pericos de Puebla	—	449	415	115	29	1	12	25	85	4	8	5	277	324	439	763	161	314	19	6	331	110	—	—	—	—	—	—
2019	28	AAA MLE	Pericos de Puebla	—	410	372	84	18	1	10	34	64	1	8	4	226	292	360	653	134	244	16	8	287	80	—	—	—	—	—	—
2011	20	INTL MLE	Caneros de los Mochis	—	63	59	20	1	1	0	3	9	0	0	1	339	371	390	761	51	400	14	5	—	—	—	—	—	—	—	—
2011	20	INTL RAW	Caneros de los Mochis	—	63	59	20	1	1	0	3	9	0	0	1	339	371	390	761	51	400	14	5	338	115	—	—	—	—	—	—
2012	21	A MLE	2 teams	—	638	589	144	30	7	0	24	81	4	16	10	244	279	319	598	75	281	13	4	257	60	—	—	—	—	—	—
2012	21	A RAW	2 teams	—	638	560	138	31	5	0	53	65	4	16	10	246	316	320	636	73	277	10	8	282	60	—	—	—	—	—	—
2013	22	AAA MLE	2 teams	—	492	444	134	17	7	6	25	77	7	9	15	302	349	412	761	110	353	16	5	322	104	—	—	—	—	—	—
2013	22	AAA RAW	2 teams	—	492	431	126	17	6	6	38	67	7	9	15	292	359	401	761	109	333	14	8	332	104	—	—	—	—	—	—
2014	23	AAA MLE	2 teams	—	460	418	128	24	1	2	23	73	1	17	8	306	344	383	727	77	365	16	5	310	96	—	—	—	—	—	—
2014	23	AAA RAW	2 teams	—	460	401	117	22	2	2	40	58	1	17	8	292	357	372	729	80	335	13	9	319	96	—	—	—	—	—	—
2015	24	AAA MLE	2 teams	—	583	546	174	42	3	5	20	103	3	21	18	319	346	434	780	115	384	18	3	332	111	—	—	—	—	—	—
2015	24	AAA RAW	2 teams	—	583	516	172	47	2	6	50	89	3	21	18	333	395	467	862	134	392	15	9	376	111	—	—	—	—	—	—
2016	25	AAA MLE	2 teams	—	578	515	126	17	2	5	49	94	2	20	11	245	313	315	627	70	287	16	8	277	74	—	—	—	—	—	—
2016	25	AAA RAW	2 teams	—	578	488	122	19	1	7	76	88	2	20	11	250	353	336	689	86	289	15	13	313	74	—	—	—	—	—	—
2017	26	AAA MLE	Pericos de Puebla	—	449	415	115	29	1	12	25	85	4	8	5	277	324	439	763	161	320	19	6	331	110	—	—	—	—	—	—
2017	26	AAA RAW	Pericos de Puebla	—	449	398	132	33	1	15	42	65	4	8	5	332	401	533	934	201	363	14	9	407	110	—	—	—	—	—	—
2018	27	INTL MLE	Caneros de los Mochis	—	124	105	21	1	0	1	17	23	0	3	2	200	311	238	550	38	247	19	14	—	—	—	—	—	—	—	—
2018	27	INTL RAW	Caneros de los Mochis	—	124	105	21	1	0	1	17	23	0	3	2	200	311	238	550	38	247	19	14	261	63	—	—	—	—	—	—
2019	28	AAA MLE	2 teams	—	628	566	128	28	1	15	52	99	2	12	6	226	294	359	652	133	248	16	8	287	80	—	—	—	—	—	—
2019	28	AAA RAW	2 teams	—	628	544	150	30	1	18	74	97	2	12	6	276	365	434	798	158	306	15	12	354	80	—	—	—	—	—	—
2020	29	INTL MLE	Caneros de los Mochis	—	117	105	22	3	1	0	11	25	0	6	0	210	284	257	542	48	275	21	9	—	—	—	—	—	—	—	—
2020	29	INTL RAW	Caneros de los Mochis	—	117	105	22	3	1	0	11	25	0	6	0	210	284	257	542	48	275	21	9	252	56	—	—	—	—	—	—
2021	30	INTL MLE	Mayos de Navojoa	—	162	146	38	8	0	6	14	38	0	5	2	260	325	438	763	178	311	23	9	—	—	—	—	—	—	—	—
2021	30	INTL RAW	Mayos de Navojoa	—	162	146	38	8	0	6	14	38	0	5	2	260	325	438	763	178	311	23	9	335	113	—	—	—	—	—	—
2022	31	INTL MLE	Mayos de Navojoa	—	45	38	5	2	0	1	5	9	1	0	0	132	250	263	513	132	143	20	11	—	—	—	—	—	—	—	—
2022	31	INTL RAW	Mayos de Navojoa	—	45	38	5	2	0	1	5	9	1	0	0	132	250	263	513	132	143	20	11	237	47	—	—	—	—	—	—
2012	21	A MLE	2 teams	—	638	605	144	30	7	0	24	81	4	16	10	238	279	311	590	73	268	13	4	257	60	—	—	—	—	—	—
2013	22	AAA MLE	2 teams	—	492	457	134	17	7	6	25	77	7	9	15	293	349	400	749	107	338	16	5	322	104	—	—	—	—	—	—
2014	23	AAA MLE	2 teams	—	460	433	128	24	1	2	23	73	1	17	8	296	344	370	713	74	349	16	5	310	96	—	—	—	—	—	—
2015	24	AAA MLE	2 teams	—	583	555	174	42	3	5	20	103	3	21	18	314	346	427	773	114	374	18	3	332	111	—	—	—	—	—	—
2016	25	AAA MLE	2 teams	—	578	522	126	17	2	5	49	94	2	20	11	241	313	310	623	69	278	16	8	277	74	—	—	—	—	—	—
2017	26	AAA MLE	Pericos de Puebla	—	449	417	115	29	1	12	25	85	4	8	5	276	324	436	761	161	314	19	6	331	110	—	—	—	—	—	—
2019	28	AAA MLE	2 teams	—	628	569	128	28	1	15	52	99	2	12	6	225	294	357	650	132	244	16	8	287	80	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	4339	3946	1055	202	24	53	268	716	24	117	78	267	318	371	689	104	313	17	6	264	65	-180	-8	+0	+46	+94	-4.8
/ 162G	—	MLE		—	650	591	158	30	4	8	40	107	4	18	12	267	318	372	690	105	313	16	6	264	65	-27	-1	+0	+7	+14	-0.7

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 AAAPericos de Puebla · 410 PAwOBA .372 → .287 (−85)K% 12.7% → 15.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.68%	÷0.970	×1.200	—	—	15.69%
BB% (unintentional) /PA	12.68%	÷1.043	×0.690	—	×0.992	8.32%
HBP% /PA	0.24%	—	×0.940	—	×0.992	0.23%
Singles /BIP	20.27%	÷1.008	×0.930	×0.950	×0.992	17.61%
Doubles /BIP	7.31%	÷0.964	×0.830	×0.950	×0.992	5.93%
Triples /BIP	0.33%	÷1.150	×0.920	×0.950	×0.992	0.25%
Home runs /BIP	5.32%	÷1.144	×0.700	—	×0.992	3.23%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 129, 1B 102, 2B 93, 3B 130, K 94, BB 109 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .372 → .287; ISO .204 → .142; BABIP .293 → .244. 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 AAAPericos de Puebla · 449 PAwOBA .395 → .331 (−65)K% 14.5% → 18.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.48%	÷0.920	×1.200	—	—	18.88%
BB% (unintentional) /PA	8.02%	÷1.033	×0.690	—	×1.018	5.45%
HBP% /PA	0.89%	—	×0.940	—	×1.018	0.85%
Singles /BIP	24.92%	÷1.055	×0.930	×0.973	×1.018	21.78%
Doubles /BIP	9.91%	÷0.946	×0.830	×0.973	×1.018	8.62%
Triples /BIP	0.30%	÷1.114	×0.920	×0.973	×1.018	0.25%
Home runs /BIP	4.50%	÷0.910	×0.700	—	×1.018	3.53%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 82, 1B 111, 2B 89, 3B 123, K 84, BB 107 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.973.

Result: wOBA .395 → .331; ISO .201 → .166; BABIP .363 → .314. 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 AAAPiratas de Campeche · 383 PAwOBA .311 → .277 (−34)K% 13.1% → 16.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.05%	÷0.966	×1.200	—	—	16.23%
BB% (unintentional) /PA	11.75%	÷0.984	×0.690	—	×1.033	8.51%
HBP% /PA	0.26%	—	×0.940	—	×1.033	0.25%
Singles /BIP	23.74%	÷0.989	×0.930	×1.020	×1.033	23.52%
Doubles /BIP	4.68%	÷1.075	×0.830	×1.020	×1.033	3.81%
Triples /BIP	0.36%	÷0.900	×0.920	×1.020	×1.033	0.39%
Home runs /BIP	1.80%	÷1.132	×0.700	—	×1.033	1.15%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 126, 1B 98, 2B 115, 3B 80, K 93, BB 97 — 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 ×1.020.

Result: wOBA .311 → .277; ISO .091 → .070; BABIP .291 → .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 AAAPericos de Puebla · 373 PAwOBA .379 → .332 (−47)K% 13.4% → 17.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.40%	÷0.913	×1.200	—	—	17.62%
BB% (unintentional) /PA	5.09%	÷1.080	×0.690	—	×1.048	3.41%
HBP% /PA	0.80%	—	×0.940	—	×1.048	0.79%
Singles /BIP	28.62%	÷1.075	×0.930	×1.050	×1.048	27.23%
Doubles /BIP	11.03%	÷1.100	×0.830	×1.050	×1.048	9.16%
Triples /BIP	0.69%	÷1.150	×0.920	×1.050	×1.048	0.61%
Home runs /BIP	1.72%	÷1.062	×0.700	—	×1.048	1.19%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 112, 1B 115, 2B 120, 3B 130, K 83, BB 116 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .379 → .332; ISO .150 → .120; BABIP .411 → .374. 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 AAAAcereros del Norte · 378 PAwOBA .323 → .310 (−13)K% 12.4% → 15.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.43%	÷0.939	×1.200	—	—	15.89%
BB% (unintentional) /PA	7.14%	÷1.032	×0.690	—	×1.050	5.01%
HBP% /PA	0.26%	—	×0.940	—	×1.050	0.26%
Singles /BIP	27.87%	÷1.019	×0.930	×1.047	×1.050	27.97%
Doubles /BIP	7.32%	÷0.995	×0.830	×1.047	×1.050	6.71%
Triples /BIP	0.35%	÷1.150	×0.920	×1.047	×1.050	0.31%
Home runs /BIP	0.70%	÷0.952	×0.700	—	×1.050	0.54%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 104, 2B 99, 3B 130, K 88, BB 106 — 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 ×1.047.

Result: wOBA .323 → .310; ISO .087 → .080; BABIP .355 → .349. 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 AAAAcereros del Norte · 424 PAwOBA .334 → .322 (−12)K% 12.7% → 15.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.74%	÷0.971	×1.200	—	—	15.74%
BB% (unintentional) /PA	7.55%	÷1.066	×0.690	—	×1.050	5.13%
HBP% /PA	1.18%	—	×0.940	—	×1.050	1.16%
Singles /BIP	26.56%	÷1.004	×0.930	×1.050	×1.050	27.13%
Doubles /BIP	4.69%	÷0.942	×0.830	×1.050	×1.050	4.55%
Triples /BIP	1.88%	÷1.066	×0.920	×1.050	×1.050	1.78%
Home runs /BIP	1.88%	÷0.901	×0.700	—	×1.050	1.53%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 80, 1B 101, 2B 88, 3B 113, K 94, BB 113 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .334 → .322; ISO .120 → .112; BABIP .335 → .338. 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 AGreat Lakes Loons · 438 PAwOBA .278 → .257 (−21)K% 9.4% → 12.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.36%	÷0.999	×1.360	—	—	12.75%
BB% (unintentional) /PA	5.71%	÷1.050	×0.690	—	×1.015	3.81%
HBP% /PA	0.68%	—	×0.780	—	×1.015	0.54%
Singles /BIP	20.11%	÷0.979	×0.920	×1.050	×1.015	20.14%
Doubles /BIP	6.80%	÷1.074	×0.830	×1.050	×1.015	5.60%
Triples /BIP	1.42%	÷0.992	×0.910	×1.050	×1.015	1.38%
Home runs /BIP	0.00%	÷1.034	×0.800	—	×1.015	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 96, 2B 115, 3B 98, K 100, BB 110 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .278 → .257; ISO .086 → .077; BABIP .280 → .268. 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 — .