Diego Madero

PosSS

B/TR/R

Born1992-01-17

Age (2027)35

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	28	INTLTomateros de …	86	.203/.262/.270	1	0	41	—
2021	29	INTLTomateros de …	85	.236/.321/.458	4	3	108	—
2022	30	INTLTomateros de …	102	.276/.297/.367	1	3	85	—

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	20	AAA	Vaqueros de la Laguna	—	227	215	56	11	0	4	9	34	0	3	2	260	290	367	658	107	292	15	4	290	41	—	—	—	—	—	—
2013	21	AAA	Vaqueros de la Laguna	—	223	203	64	9	1	3	10	33	2	6	2	315	353	414	767	99	363	15	4	332	92	—	—	—	—	—	—
2013	21	INTL	Mayos de Navojoa	—	48	43	7	1	0	1	4	14	0	0	2	163	234	256	490	93	214	29	8	223	37	—	—	—	—	—	—
2014	22	AAA	Vaqueros de la Laguna	—	509	456	135	28	4	8	36	63	7	15	7	296	357	428	784	132	327	12	7	344	83	—	—	—	—	—	—
2014	22	INTL	Mayos de Navojoa	—	106	96	23	3	0	2	4	13	3	0	0	240	291	333	625	94	256	12	4	276	73	—	—	—	—	—	—
2015	23	AAA	Vaqueros de la Laguna	—	447	411	112	16	4	4	24	49	1	8	6	273	314	360	674	88	297	11	5	296	61	—	—	—	—	—	—
2015	23	INTL	Mayos de Navojoa	—	167	145	36	1	4	0	11	16	1	0	2	248	306	310	616	62	273	10	7	265	65	—	—	—	—	—	—
2016	24	AAA	Leones de Yucatan	—	326	292	87	14	2	2	21	36	3	15	5	298	351	380	731	82	328	11	6	321	84	—	—	—	—	—	—
2016	24	INTL	Mayos de Navojoa	—	118	108	24	8	0	1	5	20	1	1	1	222	263	324	587	102	261	17	4	256	59	—	—	—	—	—	—
2017	25	AAA	Leones de Yucatan	—	297	272	93	20	3	5	16	36	4	10	4	342	387	493	880	151	381	12	5	383	112	—	—	—	—	—	—
2017	25	INTL	Mayos de Navojoa	—	152	144	35	4	0	2	2	19	2	6	1	243	264	312	576	69	268	12	1	253	57	—	—	—	—	—	—
2018	26	INTL	Mayos de Navojoa	—	106	95	20	3	0	2	9	16	1	0	0	211	286	305	591	95	234	15	8	270	69	—	—	—	—	—	—
2019	27	AAA	Piratas de Campeche	—	350	311	74	9	0	14	30	51	4	7	0	238	313	402	715	164	243	15	9	316	53	—	—	—	—	—	—
2019	27	INTL	Venados de Mazatlan	—	49	43	12	2	0	0	5	10	1	0	0	279	367	326	693	47	364	20	10	323	105	—	—	—	—	—	—
2020	28	INTL	Tomateros de Culiacan	—	86	74	15	2	0	1	6	10	0	0	0	203	263	270	533	68	215	12	7	229	41	—	—	—	—	—	—
2021	29	INTL	Tomateros de Culiacan	—	85	72	17	4	0	4	9	11	0	3	0	236	321	458	779	222	224	13	11	328	108	—	—	—	—	—	—
2022	30	INTL	Tomateros de Culiacan	—	102	98	27	4	1	1	2	10	1	3	1	276	297	367	664	92	299	10	2	294	85	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	20	AAA MLE	Vaqueros de la Laguna	—	227	217	46	8	0	3	7	44	0	3	2	212	237	290	527	78	250	19	3	229	41	—	—	—	—	—	—
2013	21	AAA MLE	Vaqueros de la Laguna	—	223	206	62	7	1	2	7	42	2	6	2	301	330	374	704	73	354	19	3	304	92	—	—	—	—	—	—
2014	22	AAA MLE	Vaqueros de la Laguna	—	509	467	121	23	4	6	25	78	7	15	7	259	307	364	671	105	291	15	5	291	83	—	—	—	—	—	—
2015	23	AAA MLE	Vaqueros de la Laguna	—	447	420	105	14	4	3	15	62	1	8	6	250	278	324	601	74	272	14	3	259	61	—	—	—	—	—	—
2016	24	AAA MLE	Leones de Yucatan	—	326	298	85	11	2	2	15	47	3	15	5	285	326	356	682	70	313	14	5	293	84	—	—	—	—	—	—
2017	25	AAA MLE	Leones de Yucatan	—	297	277	86	16	3	4	11	42	4	10	4	310	346	433	779	123	350	14	4	334	112	—	—	—	—	—	—
2019	27	AAA MLE	Piratas de Campeche	—	350	321	66	8	0	9	20	57	4	7	0	206	261	315	576	109	216	16	6	247	53	—	—	—	—	—	—
2012	20	AAA MLE	Vaqueros de la Laguna	—	227	217	46	8	0	3	7	44	0	3	2	212	237	290	527	78	251	19	3	229	41	—	—	—	—	—	—
2012	20	AAA RAW	Vaqueros de la Laguna	—	227	215	56	11	0	4	9	34	0	3	2	260	290	367	658	107	292	15	4	290	41	—	—	—	—	—	—
2013	21	AAA MLE	2 teams	—	271	251	76	9	1	3	9	51	2	6	4	303	332	382	715	80	369	19	3	304	92	—	—	—	—	—	—
2013	21	AAA RAW	2 teams	—	271	246	71	10	1	4	14	47	2	6	4	289	332	386	718	98	342	17	5	313	92	—	—	—	—	—	—
2014	22	AAA MLE	2 teams	—	615	561	146	28	5	7	31	95	10	15	7	260	311	365	676	105	300	15	5	291	83	—	—	—	—	—	—
2014	22	AAA RAW	2 teams	—	615	552	158	31	4	10	40	76	10	15	7	286	346	411	757	125	315	12	7	333	83	—	—	—	—	—	—
2015	23	AAA MLE	2 teams	—	614	570	143	19	5	4	21	85	2	8	8	251	280	323	603	72	284	14	3	259	61	—	—	—	—	—	—
2015	23	AAA RAW	2 teams	—	614	556	148	17	8	4	35	65	2	8	8	266	312	347	659	81	290	11	6	288	61	—	—	—	—	—	—
2016	24	AAA MLE	2 teams	—	444	406	114	15	2	2	20	63	4	16	6	281	321	342	663	62	323	14	5	293	84	—	—	—	—	—	—
2016	24	AAA RAW	2 teams	—	444	400	111	22	2	3	26	56	4	16	6	278	328	365	693	87	311	13	6	304	84	—	—	—	—	—	—
2017	25	AAA MLE	2 teams	—	449	418	131	25	5	6	16	64	6	16	5	313	348	440	788	127	359	14	4	334	112	—	—	—	—	—	—
2017	25	AAA RAW	2 teams	—	449	416	128	24	3	7	18	55	6	16	5	308	345	430	776	123	342	12	4	339	112	—	—	—	—	—	—
2018	26	INTL MLE	Mayos de Navojoa	—	106	95	20	3	0	2	9	16	1	0	0	211	286	305	591	95	234	15	8	—	—	—	—	—	—	—	—
2018	26	INTL RAW	Mayos de Navojoa	—	106	95	20	3	0	2	9	16	1	0	0	211	286	305	591	95	234	15	8	270	69	—	—	—	—	—	—
2019	27	AAA MLE	2 teams	—	399	366	75	9	0	10	23	65	5	7	0	205	261	311	573	107	223	16	6	247	53	—	—	—	—	—	—
2019	27	AAA RAW	2 teams	—	399	354	86	11	0	14	35	61	5	7	0	243	320	393	712	150	257	15	9	317	53	—	—	—	—	—	—
2020	28	INTL MLE	Tomateros de Culiacan	—	86	74	15	2	0	1	6	10	0	0	0	203	263	270	533	68	215	12	7	—	—	—	—	—	—	—	—
2020	28	INTL RAW	Tomateros de Culiacan	—	86	74	15	2	0	1	6	10	0	0	0	203	263	270	533	68	215	12	7	229	41	—	—	—	—	—	—
2021	29	INTL MLE	Tomateros de Culiacan	—	85	72	17	4	0	4	9	11	0	3	0	236	321	458	779	222	224	13	11	—	—	—	—	—	—	—	—
2021	29	INTL RAW	Tomateros de Culiacan	—	85	72	17	4	0	4	9	11	0	3	0	236	321	458	779	222	224	13	11	328	108	—	—	—	—	—	—
2022	30	INTL MLE	Tomateros de Culiacan	—	102	98	27	4	1	1	2	10	1	3	1	276	297	367	664	92	299	10	2	—	—	—	—	—	—	—	—
2022	30	INTL RAW	Tomateros de Culiacan	—	102	98	27	4	1	1	2	10	1	3	1	276	297	367	664	92	299	10	2	294	85	—	—	—	—	—	—
2012	20	AAA MLE	Vaqueros de la Laguna	—	227	218	46	8	0	3	7	44	0	3	2	211	237	289	526	78	250	19	3	229	41	—	—	—	—	—	—
2013	21	AAA MLE	2 teams	—	271	258	76	9	1	3	9	51	2	6	4	295	332	372	704	78	354	19	3	304	92	—	—	—	—	—	—
2014	22	AAA MLE	2 teams	—	615	569	146	28	5	7	31	95	10	15	7	257	311	360	671	104	291	15	5	291	83	—	—	—	—	—	—
2015	23	AAA MLE	2 teams	—	614	586	143	19	5	4	21	85	2	8	8	244	280	314	594	70	272	14	3	259	61	—	—	—	—	—	—
2016	24	AAA MLE	2 teams	—	444	417	114	15	2	2	20	63	4	16	6	273	321	333	654	60	313	14	5	293	84	—	—	—	—	—	—
2017	25	AAA MLE	2 teams	—	449	424	131	25	5	6	16	64	6	16	5	309	348	434	782	125	350	14	4	334	112	—	—	—	—	—	—
2019	27	AAA MLE	2 teams	—	399	368	75	9	0	10	23	65	5	7	0	204	261	310	571	106	216	16	6	247	53	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	3398	3128	810	126	19	43	153	514	31	77	33	259	300	353	653	94	295	15	5	250	56	-179	+2	+0	+36	+74	-6.9
/ 162G	—	MLE		—	650	598	155	24	4	8	29	98	6	15	6	259	300	353	653	94	296	15	4	250	56	-34	+1	+0	+7	+14	-1.3

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 AAAPiratas de Campeche · 350 PAwOBA .309 → .247 (−62)K% 14.6% → 16.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.57%	÷1.071	×1.200	—	—	16.32%
BB% (unintentional) /PA	8.57%	÷1.033	×0.690	—	×1.003	5.74%
HBP% /PA	1.14%	—	×0.940	—	×1.003	1.08%
Singles /BIP	19.62%	÷0.954	×0.930	×0.950	×1.003	18.22%
Doubles /BIP	3.46%	÷0.971	×0.830	×0.950	×1.003	2.82%
Triples /BIP	0.00%	÷0.987	×0.920	×0.950	×1.003	0.00%
Home runs /BIP	5.38%	÷1.196	×0.700	—	×1.003	3.16%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 139, 1B 91, 2B 94, 3B 97, K 114, BB 107 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .309 → .247; ISO .164 → .106; BABIP .243 → .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 AAALeones de Yucatan · 297 PAwOBA .372 → .334 (−38)K% 12.1% → 14.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.12%	÷1.015	×1.200	—	—	14.34%
BB% (unintentional) /PA	5.05%	÷0.998	×0.690	—	×1.033	3.61%
HBP% /PA	1.35%	—	×0.940	—	×1.033	1.31%
Singles /BIP	27.54%	÷1.002	×0.930	×0.993	×1.033	26.23%
Doubles /BIP	8.47%	÷1.054	×0.830	×0.993	×1.033	6.85%
Triples /BIP	1.27%	÷0.900	×0.920	×0.993	×1.033	1.33%
Home runs /BIP	2.12%	÷0.945	×0.700	—	×1.033	1.62%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 100, 2B 111, 3B 80, K 103, BB 100 — 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 ×0.993.

Result: wOBA .372 → .334; ISO .151 → .127; BABIP .381 → .350. 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 AAALeones de Yucatan · 326 PAwOBA .318 → .293 (−24)K% 11.0% → 14.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.04%	÷0.924	×1.200	—	—	14.34%
BB% (unintentional) /PA	6.44%	÷1.008	×0.690	—	×1.048	4.62%
HBP% /PA	0.92%	—	×0.940	—	×1.048	0.91%
Singles /BIP	26.95%	÷0.991	×0.930	×1.005	×1.048	26.64%
Doubles /BIP	5.47%	÷1.104	×0.830	×1.005	×1.048	4.33%
Triples /BIP	0.78%	÷1.150	×0.920	×1.005	×1.048	0.66%
Home runs /BIP	0.78%	÷0.834	×0.700	—	×1.048	0.69%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 67, 1B 98, 2B 121, 3B 130, K 85, BB 102 — 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 ×1.005.

Result: wOBA .318 → .293; ISO .082 → .069; BABIP .328 → .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).

2015 AAAVaqueros de la Laguna · 447 PAwOBA .291 → .259 (−33)K% 11.0% → 13.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.96%	÷0.955	×1.200	—	—	13.78%
BB% (unintentional) /PA	5.15%	÷1.084	×0.690	—	×1.050	3.44%
HBP% /PA	0.22%	—	×0.940	—	×1.050	0.22%
Singles /BIP	24.31%	÷1.049	×0.930	×1.003	×1.050	22.71%
Doubles /BIP	4.42%	÷1.046	×0.830	×1.003	×1.050	3.69%
Triples /BIP	1.10%	÷1.080	×0.920	×1.003	×1.050	0.99%
Home runs /BIP	1.10%	÷1.006	×0.700	—	×1.050	0.81%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 101, 1B 110, 2B 109, 3B 116, K 91, BB 117 — 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 ×1.003.

Result: wOBA .291 → .259; ISO .088 → .073; BABIP .297 → .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).

2014 AAAVaqueros de la Laguna · 509 PAwOBA .337 → .291 (−46)K% 12.4% → 15.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.38%	÷0.966	×1.200	—	—	15.38%
BB% (unintentional) /PA	7.07%	÷1.025	×0.690	—	×1.050	5.00%
HBP% /PA	1.38%	—	×0.940	—	×1.050	1.36%
Singles /BIP	24.17%	÷1.055	×0.930	×0.988	×1.050	22.09%
Doubles /BIP	7.12%	÷1.060	×0.830	×0.988	×1.050	5.79%
Triples /BIP	1.02%	÷0.953	×0.920	×0.988	×1.050	1.02%
Home runs /BIP	2.04%	÷0.976	×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 95, 1B 111, 2B 112, 3B 91, K 93, BB 105 — 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 ×0.988.

Result: wOBA .337 → .291; ISO .132 → .109; BABIP .327 → .291. 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 AAAVaqueros de la Laguna · 223 PAwOBA .324 → .304 (−20)K% 14.8% → 18.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.80%	÷0.949	×1.200	—	—	18.72%
BB% (unintentional) /PA	4.48%	÷0.989	×0.690	—	×1.050	3.29%
HBP% /PA	0.90%	—	×0.940	—	×1.050	0.89%
Singles /BIP	30.00%	÷0.999	×0.930	×1.034	×1.050	30.32%
Doubles /BIP	5.29%	÷1.098	×0.830	×1.034	×1.050	4.35%
Triples /BIP	0.59%	÷1.150	×0.920	×1.034	×1.050	0.51%
Home runs /BIP	1.76%	÷0.991	×0.700	—	×1.050	1.31%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 98, 1B 100, 2B 120, 3B 130, K 90, BB 98 — applied at half strength. Age: age 21 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (6.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.034.

Result: wOBA .324 → .304; ISO .099 → .079; BABIP .363 → .354. 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 AAAVaqueros de la Laguna · 227 PAwOBA .283 → .229 (−54)K% 15.0% → 19.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.98%	÷0.925	×1.200	—	—	19.42%
BB% (unintentional) /PA	3.96%	÷0.942	×0.690	—	×1.050	3.05%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	22.65%	÷1.081	×0.930	×0.982	×1.050	20.10%
Doubles /BIP	6.08%	÷1.114	×0.830	×0.982	×1.050	4.67%
Triples /BIP	0.00%	÷1.132	×0.920	×0.982	×1.050	0.00%
Home runs /BIP	2.21%	÷1.018	×0.700	—	×1.050	1.60%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 104, 1B 116, 2B 123, 3B 126, K 85, BB 88 — applied at half strength. Age: age 20 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (7.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.982.

Result: wOBA .283 → .229; ISO .107 → .077; BABIP .292 → .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).

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