Nelson Perez

PosRF

B/TL/R

Born1987-11-16

Age (2027)39

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	wRC+	WAR
2015	27	INTLEstrellas de …	16	.267/.312/.400	0	101	—
2016	28	INTLYaquis de Obr…	38	.206/.289/.382	1	89	—
2019	31	INTLTigres de Ara…	79	.261/.338/.391	2	104	—

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)
2007	19	ROK	AZL Cubs	—	163	155	39	5	4	4	6	46	2	1	4	252	288	413	701	161	333	28	4	309	22	—	—	—	—	—	—
2008	20	ROK	AZL Cubs	—	168	154	47	7	10	9	8	35	2	3	3	305	348	656	1.003	351	336	21	5	416	86	—	—	—	—	—	—
2009	21	A	Peoria Chiefs	—	458	427	107	19	4	11	21	130	4	2	0	251	292	391	683	141	329	28	5	300	41	—	—	—	—	—	—
2010	22	A+	Daytona Cubs	—	87	80	13	5	1	1	5	29	1	0	1	163	221	287	508	125	235	33	6	227	-1	—	—	—	—	—	—
2010	22	A	Peoria Chiefs	—	325	305	88	16	2	11	17	92	2	2	1	289	330	462	793	174	379	28	5	349	61	—	—	—	—	—	—
2010	22	INTL	Toros del Este	—	41	34	10	4	0	1	6	14	0	0	0	294	400	500	900	206	450	34	15	388	149	—	—	—	—	—	—
2011	23	AA	Tennessee Smokies	—	262	237	59	17	1	8	20	87	3	1	2	249	315	430	746	181	354	33	8	329	57	—	—	—	—	—	—
2011	23	A+	Daytona Cubs	—	108	101	33	4	1	4	6	34	1	1	0	327	370	505	875	178	460	31	6	386	78	—	—	—	—	—	—
2011	23	INTL	Leones del Escogido	—	55	48	12	0	1	0	6	11	1	0	0	250	345	292	637	42	324	20	11	300	89	—	—	—	—	—	—
2012	24	AA	Tennessee Smokies	—	142	127	26	6	2	5	13	35	1	1	2	205	284	402	685	197	239	25	9	302	42	—	—	—	—	—	—
2012	24	A+	Daytona Cubs	—	313	263	73	14	5	11	41	94	5	8	4	278	385	494	879	217	383	30	13	384	76	—	—	—	—	—	—
2012	24	INTL	Estrellas de Oriente	—	115	84	21	2	0	4	29	28	1	0	1	250	447	417	864	167	321	24	25	395	154	—	—	—	—	—	—
2013	25	AAA	Acereros del Norte	—	338	290	85	8	4	17	45	64	2	0	3	293	392	524	916	231	324	19	13	401	111	—	—	—	—	—	—
2013	25	INTL	Estrellas de Oriente	—	83	68	11	2	0	2	12	26	0	0	1	162	287	279	567	118	214	31	14	258	61	—	—	—	—	—	—
2014	26	AAA	Piratas de Campeche	—	33	32	7	2	0	1	1	11	0	1	0	219	242	375	617	156	300	33	3	272	17	—	—	—	—	—	—
2015	27	INTL	Estrellas de Oriente	—	16	15	4	2	0	0	1	8	0	0	0	267	312	400	713	133	571	50	6	317	101	—	—	—	—	—	—
2016	28	INTL	Yaquis de Obregon	—	38	34	7	1	1	1	4	14	0	0	0	206	289	382	672	176	316	37	11	300	89	—	—	—	—	—	—
2019	31	INTL	Tigres de Aragua	—	79	69	18	3	0	2	7	20	1	0	0	261	338	391	729	130	327	25	9	321	104	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	19	ROK MLE	AZL Cubs	—	163	158	28	3	3	3	3	66	2	1	4	177	202	291	494	114	270	40	2	201	22	—	—	—	—	—	—
2008	20	ROK MLE	AZL Cubs	—	168	157	34	5	7	6	5	50	2	3	3	217	250	452	702	236	261	30	3	295	86	—	—	—	—	—	—
2009	21	A MLE	Peoria Chiefs	—	458	435	86	14	3	8	13	177	4	2	0	198	228	299	527	101	297	39	3	229	41	—	—	—	—	—	—
2010	22	A+ MLE	Daytona Cubs	—	87	81	11	4	1	1	4	41	1	0	1	136	186	247	433	111	214	47	5	167	-1	—	—	—	—	—	—
2010	22	A MLE	Peoria Chiefs	—	325	311	70	12	2	7	11	124	2	2	1	225	256	344	600	119	347	38	3	259	61	—	—	—	—	—	—
2011	23	AA MLE	Tennessee Smokies	—	262	245	48	14	1	6	12	112	3	1	2	196	242	335	577	139	321	43	5	253	57	—	—	—	—	—	—
2011	23	A+ MLE	Daytona Cubs	—	108	104	26	3	1	2	3	45	1	1	0	250	278	356	634	106	422	42	3	284	78	—	—	—	—	—	—
2012	24	AA MLE	Tennessee Smokies	—	142	132	22	5	2	4	8	44	1	1	2	167	220	326	546	159	205	31	6	231	42	—	—	—	—	—	—
2012	24	A+ MLE	Daytona Cubs	—	313	275	55	10	3	7	29	127	5	8	4	200	288	335	623	135	326	41	9	280	76	—	—	—	—	—	—
2013	25	AAA MLE	Acereros del Norte	—	338	311	80	7	4	14	24	79	2	0	3	257	315	441	755	183	300	23	7	332	111	—	—	—	—	—	—
2014	26	AAA MLE	Piratas de Campeche	—	33	32	6	2	0	1	1	13	0	1	0	188	212	344	556	156	264	39	3	194	17	—	—	—	—	—	—
2007	19	ROK MLE	AZL Cubs	—	163	158	28	3	3	3	3	66	2	1	4	177	202	291	494	114	281	40	2	201	22	—	—	—	—	—	—
2007	19	ROK RAW	AZL Cubs	—	163	155	39	5	4	4	6	46	2	1	4	252	288	413	701	161	333	28	4	309	22	—	—	—	—	—	—
2008	20	ROK MLE	AZL Cubs	—	168	157	34	5	7	6	5	50	2	3	3	217	250	452	702	236	269	30	3	295	86	—	—	—	—	—	—
2008	20	ROK RAW	AZL Cubs	—	168	154	47	7	10	9	8	35	2	3	3	305	348	656	1.003	351	336	21	5	416	86	—	—	—	—	—	—
2009	21	A MLE	Peoria Chiefs	—	458	435	86	14	3	8	13	177	4	2	0	198	228	299	527	101	305	39	3	229	41	—	—	—	—	—	—
2009	21	A RAW	Peoria Chiefs	—	458	427	107	19	4	11	21	130	4	2	0	251	292	391	683	141	329	28	5	300	41	—	—	—	—	—	—
2010	22	A MLE	3 teams	—	453	430	88	18	3	8	17	182	3	2	2	205	240	316	556	112	329	40	4	240	48	—	—	—	—	—	—
2010	22	A RAW	3 teams	—	453	419	111	25	3	13	28	135	3	2	2	265	316	432	748	167	358	30	6	329	48	—	—	—	—	—	—
2011	23	AA MLE	3 teams	—	425	400	86	20	2	10	18	180	5	2	2	215	258	350	608	135	358	42	4	262	63	—	—	—	—	—	—
2011	23	AA RAW	3 teams	—	425	386	104	21	3	12	32	132	5	2	2	269	333	433	766	163	377	31	8	340	63	—	—	—	—	—	—
2012	24	A+ MLE	3 teams	—	570	511	96	19	6	13	46	214	7	9	7	188	264	325	589	137	286	38	8	265	65	—	—	—	—	—	—
2012	24	A+ RAW	3 teams	—	570	474	120	22	7	20	83	157	7	9	7	253	372	456	828	203	330	28	15	366	65	—	—	—	—	—	—
2013	25	AAA MLE	2 teams	—	421	385	99	9	5	17	30	99	2	0	4	257	314	439	753	182	301	24	7	332	111	—	—	—	—	—	—
2013	25	AAA RAW	2 teams	—	421	358	96	10	4	19	57	90	2	0	4	268	372	478	849	209	306	21	14	373	111	—	—	—	—	—	—
2014	26	AAA MLE	Piratas de Campeche	—	33	32	6	2	0	1	1	13	0	1	0	188	212	344	556	156	278	39	3	194	17	—	—	—	—	—	—
2014	26	AAA RAW	Piratas de Campeche	—	33	32	7	2	0	1	1	11	0	1	0	219	242	375	617	156	300	33	3	272	17	—	—	—	—	—	—
2015	27	INTL MLE	Estrellas de Oriente	—	16	15	4	2	0	0	1	8	0	0	0	267	312	400	713	133	571	50	6	—	—	—	—	—	—	—	—
2015	27	INTL RAW	Estrellas de Oriente	—	16	15	4	2	0	0	1	8	0	0	0	267	312	400	713	133	571	50	6	317	101	—	—	—	—	—	—
2016	28	INTL MLE	Yaquis de Obregon	—	38	34	7	1	1	1	4	14	0	0	0	206	289	382	672	176	316	37	11	—	—	—	—	—	—	—	—
2016	28	INTL RAW	Yaquis de Obregon	—	38	34	7	1	1	1	4	14	0	0	0	206	289	382	672	176	316	37	11	300	89	—	—	—	—	—	—
2019	31	INTL MLE	Tigres de Aragua	—	79	69	18	3	0	2	7	20	1	0	0	261	338	391	729	130	327	25	9	—	—	—	—	—	—	—	—
2019	31	INTL RAW	Tigres de Aragua	—	79	69	18	3	0	2	7	20	1	0	0	261	338	391	729	130	327	25	9	321	104	—	—	—	—	—	—
2007	19	ROK MLE	AZL Cubs	—	163	157	28	3	3	3	3	66	2	1	4	178	202	293	495	115	270	40	2	201	22	—	—	—	—	—	—
2008	20	ROK MLE	AZL Cubs	—	168	159	34	5	7	6	5	50	2	3	3	214	250	447	697	233	261	30	3	295	86	—	—	—	—	—	—
2009	21	A MLE	Peoria Chiefs	—	458	438	86	14	3	8	13	177	4	2	0	196	228	297	525	100	297	39	3	229	41	—	—	—	—	—	—
2010	22	A MLE	3 teams	—	453	430	88	18	3	8	17	182	3	2	2	205	240	316	556	112	319	40	4	240	48	—	—	—	—	—	—
2011	23	AA MLE	3 teams	—	425	399	86	20	2	10	18	180	5	2	2	216	258	351	609	135	350	42	4	262	63	—	—	—	—	—	—
2012	24	A+ MLE	3 teams	—	570	512	96	19	6	13	46	214	7	9	7	188	264	324	588	137	288	38	8	265	65	—	—	—	—	—	—
2013	25	AAA MLE	2 teams	—	421	386	99	9	5	17	30	99	2	0	4	256	314	438	752	181	300	24	7	332	111	—	—	—	—	—	—
2014	26	AAA MLE	Piratas de Campeche	—	33	32	6	2	0	1	1	13	0	1	0	188	212	344	556	156	264	39	3	194	17	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2824	2626	552	96	30	69	145	1023	26	20	22	210	258	348	607	138	310	36	5	249	55	-152	-5	+0	-30	+61	-12.8
/ 162G	—	MLE		—	650	604	127	22	7	16	33	235	6	5	5	210	258	349	607	139	309	36	5	249	55	-35	-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.

2014 AAAPiratas de Campeche · 33 PAwOBA .264 → .194 (−70)K% 33.3% → 39.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷1.008	×1.200	—	—	39.70%
BB% (unintentional) /PA	3.03%	÷1.055	×0.690	—	×1.003	1.99%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	19.05%	÷0.995	×0.930	—	×1.003	17.85%
Doubles /BIP	9.52%	÷1.010	×0.830	—	×1.003	7.85%
Triples /BIP	0.00%	÷1.150	×0.920	—	×1.003	0.00%
Home runs /BIP	4.76%	÷1.245	×0.700	—	×1.003	2.68%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 149, 1B 99, 2B 102, 3B 130, K 102, BB 111 — 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).

Result: wOBA .264 → .194; ISO .156 → .096; BABIP .300 → .264. 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 · 338 PAwOBA .385 → .332 (−53)K% 18.9% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.93%	÷0.971	×1.200	—	—	23.41%
BB% (unintentional) /PA	10.95%	÷1.066	×0.690	—	×1.018	7.21%
HBP% /PA	0.59%	—	×0.940	—	×1.018	0.57%
Singles /BIP	24.78%	÷1.004	×0.930	×1.008	×1.018	23.57%
Doubles /BIP	3.54%	÷0.942	×0.830	×1.008	×1.018	3.20%
Triples /BIP	1.77%	÷1.066	×0.920	×1.008	×1.018	1.57%
Home runs /BIP	7.52%	÷0.901	×0.700	—	×1.018	5.95%

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 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 ×1.008.

Result: wOBA .385 → .332; ISO .231 → .194; BABIP .324 → .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).

2012 A+Daytona Cubs · 313 PAwOBA .377 → .280 (−97)K% 30.0% → 40.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.03%	÷1.051	×1.420	—	—	40.56%
BB% (unintentional) /PA	12.46%	÷0.995	×0.750	—	×0.978	9.19%
HBP% /PA	1.60%	—	×0.930	—	×0.978	1.45%
Singles /BIP	25.44%	÷0.970	×0.920	×0.981	×0.978	23.17%
Doubles /BIP	8.28%	÷1.112	×0.960	×0.981	×0.978	6.86%
Triples /BIP	2.96%	÷1.150	×0.810	×0.981	×0.978	2.00%
Home runs /BIP	6.51%	÷1.240	×0.880	—	×0.978	4.52%

Factors used: league row FSL. Park (home-season share, regressed): HR 148, 1B 94, 2B 122, 3B 130, K 110, 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 ×0.981.

Result: wOBA .377 → .280; ISO .217 → .142; BABIP .383 → .326. 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 AATennessee Smokies · 142 PAwOBA .293 → .231 (−63)K% 24.6% → 30.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.65%	÷0.976	×1.220	—	—	30.81%
BB% (unintentional) /PA	8.45%	÷0.983	×0.680	—	×0.998	5.83%
HBP% /PA	0.70%	—	×0.840	—	×0.998	0.59%
Singles /BIP	14.13%	÷0.991	×0.920	×0.966	×0.998	12.65%
Doubles /BIP	6.52%	÷1.033	×0.910	×0.966	×0.998	5.54%
Triples /BIP	2.17%	÷1.082	×0.880	×0.966	×0.998	1.70%
Home runs /BIP	5.43%	÷1.028	×0.800	—	×0.998	4.22%

Factors used: league row SL. Park (home-season share, regressed): HR 106, 1B 98, 2B 107, 3B 116, K 95, BB 97 — 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 ×0.966.

Result: wOBA .293 → .231; ISO .197 → .152; BABIP .239 → .205. 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).

2011 AATennessee Smokies · 262 PAwOBA .321 → .253 (−68)K% 33.2% → 42.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.21%	÷0.951	×1.220	—	—	42.61%
BB% (unintentional) /PA	7.25%	÷1.090	×0.680	—	×1.012	4.58%
HBP% /PA	1.15%	—	×0.840	—	×1.012	0.97%
Singles /BIP	22.00%	÷1.029	×0.920	×1.009	×1.012	20.08%
Doubles /BIP	11.33%	÷1.001	×0.910	×1.009	×1.012	10.52%
Triples /BIP	0.67%	÷1.150	×0.880	×1.009	×1.012	0.52%
Home runs /BIP	5.33%	÷0.937	×0.800	—	×1.012	4.61%

Factors used: league row SL. Park (home-season share, regressed): HR 87, 1B 106, 2B 100, 3B 130, K 90, BB 118 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.009.

Result: wOBA .321 → .253; ISO .181 → .145; BABIP .354 → .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).

2011 A+Daytona Cubs · 108 PAwOBA .372 → .284 (−89)K% 31.5% → 42.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.48%	÷1.064	×1.420	—	—	42.00%
BB% (unintentional) /PA	4.63%	÷1.056	×0.750	—	×0.988	3.25%
HBP% /PA	0.93%	—	×0.930	—	×0.988	0.85%
Singles /BIP	35.82%	÷1.016	×0.920	×1.050	×0.988	33.64%
Doubles /BIP	5.97%	÷1.075	×0.960	×1.050	×0.988	5.53%
Triples /BIP	1.49%	÷1.030	×0.810	×1.050	×0.988	1.22%
Home runs /BIP	5.97%	÷1.232	×0.880	—	×0.988	4.21%

Factors used: league row FSL. Park (home-season share, regressed): HR 146, 1B 103, 2B 115, 3B 106, K 113, BB 111 — 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 .372 → .284; ISO .178 → .119; BABIP .460 → .422. 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 APeoria Chiefs · 325 PAwOBA .340 → .259 (−81)K% 28.3% → 38.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.31%	÷1.006	×1.360	—	—	38.26%
BB% (unintentional) /PA	5.23%	÷1.032	×0.690	—	×0.990	3.46%
HBP% /PA	0.62%	—	×0.780	—	×0.990	0.48%
Singles /BIP	27.70%	÷0.997	×0.920	×1.031	×0.990	26.08%
Doubles /BIP	7.51%	÷0.970	×0.830	×1.031	×0.990	6.56%
Triples /BIP	0.94%	÷0.928	×0.910	×1.031	×0.990	0.94%
Home runs /BIP	5.16%	÷1.108	×0.800	—	×0.990	3.69%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 122, 1B 99, 2B 94, 3B 86, K 101, BB 106 — 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 ×1.031.

Result: wOBA .340 → .259; ISO .174 → .120; BABIP .379 → .347. 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 A+Daytona Cubs · 87 PAwOBA .224 → .167 (−57)K% 33.3% → 46.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷1.010	×1.420	—	—	46.89%
BB% (unintentional) /PA	5.75%	÷0.938	×0.750	—	×0.998	4.59%
HBP% /PA	1.15%	—	×0.930	—	×0.998	1.07%
Singles /BIP	11.76%	÷1.017	×0.920	×1.050	×0.998	11.15%
Doubles /BIP	9.80%	÷1.107	×0.960	×1.050	×0.998	8.91%
Triples /BIP	1.96%	÷1.150	×0.810	×1.050	×0.998	1.45%
Home runs /BIP	1.96%	÷1.026	×0.880	—	×0.998	1.68%

Factors used: league row FSL. Park (home-season share, regressed): HR 105, 1B 103, 2B 121, 3B 130, K 102, BB 88 — 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 ×1.050.

Result: wOBA .224 → .167; ISO .125 → .087; BABIP .235 → .214. 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 — .