Wily Mo Peña

PosRF

B/TR/R

Born1982-01-23

Age (2027)45

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2016

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2010	28	AAA/INTL2 orgs	186	.314/.373/.538	10	0	120	—	.293/.342/.490
2011	29	AAA/INTL2 orgs	440	.316/.413/.636	30	7	140	—	.293/.360/.557
2011	29	MLBSEA	120	.204/.250/.416	7	0	87	-0.6
2016	34	INTLTigres del Li…	27	.231/.259/.231	0	0	40	—
2017	35	No MLB games played
2018	36	No MLB games played
2019	37	No MLB games played
2020	38	No MLB games played
2021	39	No MLB games played
2022	40	No MLB games played
2023	41	No MLB games played
2024	42	No MLB games played
2025	43	No MLB games played
2026	44	No MLB games played

Last 3 seasons WAR -0.6

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)
2002	20	MLB	Cincinnati Reds	—	18	18	4	0	0	1	0	11	0	0	0	222	222	389	611	167	500	61	0	266	66	-1	+0	+0	-0	+0	-0.1
2003	21	MLB	Cincinnati Reds	—	181	165	36	6	1	5	12	53	3	3	2	218	283	358	641	139	290	29	7	287	75	-5	-0	-1	+1	+4	-0.2
2004	22	MLB	Cincinnati Reds	—	364	336	87	10	1	26	22	108	6	5	2	259	316	527	843	268	302	30	6	367	133	+14	+0	+1	+1	+8	2.5
2005	23	MLB	Cincinnati Reds	—	335	311	79	17	0	19	20	116	3	2	1	254	305	492	797	238	339	35	6	348	121	+9	+0	-17	-4	+7	-0.5
2005	23	AAA	Louisville Bats	—	25	24	7	1	0	1	1	10	0	0	0	292	320	458	778	167	462	40	4	343	70	—	—	—	—	—	—
2006	24	MLB	Boston Red Sox	—	304	276	83	15	2	11	20	90	3	0	1	301	355	489	844	188	400	30	7	366	134	+12	-0	-5	-4	+7	1.0
2006	24	AAA	Pawtucket Red Sox	—	52	41	10	1	0	2	7	10	3	0	0	244	392	415	807	171	267	19	13	363	107	—	—	—	—	—	—
2007	25	MLB	Washington Nationals	—	317	289	73	13	1	13	22	94	6	2	1	253	319	439	758	187	330	30	7	337	111	+4	+0	-9	-3	+7	-0.2
2008	26	MLB	Washington Nationals	—	206	195	40	6	0	2	10	48	0	0	1	205	244	267	511	62	260	23	5	232	43	-14	-0	-0	-2	+4	-1.3
2009	27	AAA	Buffalo Bisons	—	152	145	40	5	0	5	5	28	0	0	0	276	300	414	714	138	307	18	3	312	65	—	—	—	—	—	—
2010	28	AAA	Portland Beavers	—	159	142	46	6	0	9	15	45	1	0	1	324	392	556	949	232	416	28	9	413	124	—	—	—	—	—	—
2010	28	INTL	Tigres del Licey	—	27	27	7	2	0	1	0	10	0	0	0	259	259	444	704	185	375	37	0	306	93	—	—	—	—	—	—
2011	29	MLB	Seattle Mariners	—	120	113	23	3	0	7	5	39	2	0	0	204	250	416	666	212	239	32	4	293	87	-2	+0	-0	-6	+3	-0.6
2011	29	AAA	Tacoma Rainiers	—	332	288	103	21	3	25	34	61	9	5	2	358	441	712	1.153	354	384	18	10	491	152	—	—	—	—	—	—
2011	29	INTL	Tigres del Licey	—	108	88	16	3	0	5	13	30	6	2	0	182	327	386	713	205	204	28	12	324	105	—	—	—	—	—	—
2016	34	INTL	Tigres del Licey	—	27	26	6	0	0	0	1	8	0	0	0	231	259	231	490		333	30	4	227	40	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1845	1703	425	70	5	84	111	559	23	12	8	250	304	445	749	195	320	30	6	329	109	+20	-1	-32	-18	+40	1.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2002	20	MLB MLE	Cincinnati Reds	—	18	18	4	0	0	1	0	11	0	0	0	222	222	389	611	167	500	61	0	266	66	-1	+0	+0	-0	+0	-0.1
2003	21	MLB MLE	Cincinnati Reds	—	181	167	36	6	1	5	10	53	3	3	2	216	272	353	626	138	290	29	6	280	75	-5	-0	-1	+1	+4	-0.2
2004	22	MLB MLE	Cincinnati Reds	—	364	337	87	10	1	26	21	108	6	5	2	258	313	525	838	267	302	30	6	365	133	+14	+0	+1	+1	+8	2.5
2005	23	MLB MLE	Cincinnati Reds	—	335	311	79	17	0	19	20	116	3	2	1	254	305	492	797	238	339	35	6	348	121	+9	+0	-17	-4	+7	-0.5
2005	23	AAA MLE	Louisville Bats	—	25	24	6	1	0	1	1	12	0	0	0	250	280	417	697	167	439	48	4	271	70	—	—	—	—	—	—
2006	24	MLB MLE	Boston Red Sox	—	304	276	83	15	2	11	20	90	3	0	1	301	355	489	844	188	400	30	7	366	134	+12	-0	-5	-4	+7	1.0
2006	24	AAA MLE	Pawtucket Red Sox	—	52	44	10	1	0	2	4	12	3	0	0	227	333	386	720	159	255	23	8	327	107	—	—	—	—	—	—
2007	25	MLB MLE	Washington Nationals	—	317	291	73	13	1	13	20	94	6	2	1	251	312	436	749	186	330	30	6	332	111	+4	+0	-9	-3	+7	-0.2
2008	26	MLB MLE	Washington Nationals	—	206	195	40	6	0	2	10	48	0	0	1	205	244	267	511	62	260	23	5	232	43	-14	-0	-0	-2	+4	-1.3
2009	27	AAA MLE	Buffalo Bisons	—	152	147	35	4	0	4	3	34	0	0	0	238	253	347	600	109	277	22	2	265	65	—	—	—	—	—	—
2010	28	AAA MLE	Portland Beavers	—	159	147	43	5	0	8	10	55	1	0	1	293	342	490	832	197	401	35	6	351	124	—	—	—	—	—	—
2011	29	MLB MLE	Seattle Mariners	—	120	113	23	3	0	7	5	39	2	0	0	204	250	416	666	212	239	32	4	297	87	-2	+0	-0	-6	+3	-0.6
2011	29	AAA MLE	Tacoma Rainiers	—	332	300	88	18	2	19	22	79	9	5	2	293	360	557	916	263	343	24	7	393	152	—	—	—	—	—	—
2002	20	MLB MLE	Cincinnati Reds	—	18	18	4	0	0	1	0	11	0	0	0	222	222	389	611	167	500	61	0	266	66	-1	+0	+0	-0	+0	-0.1
2002	20	MLB RAW	Cincinnati Reds	—	18	18	4	0	0	1	0	11	0	0	0	222	222	389	611	167	500	61	0	266	66	-1	+0	+0	-0	+0	-0.1
2003	21	MLB MLE	Cincinnati Reds	—	181	167	36	6	1	5	10	53	3	3	2	216	272	353	626	138	284	29	6	280	75	-5	-0	-1	+1	+4	-0.2
2003	21	MLB RAW	Cincinnati Reds	—	181	165	36	6	1	5	12	53	3	3	2	218	283	358	641	139	290	29	7	287	75	-5	-0	-1	+1	+4	-0.2
2004	22	MLB MLE	Cincinnati Reds	—	364	337	87	10	1	26	21	108	6	5	2	258	313	525	838	267	300	30	6	365	133	+14	+0	+1	+1	+8	2.5
2004	22	MLB RAW	Cincinnati Reds	—	364	336	87	10	1	26	22	108	6	5	2	259	316	527	843	268	302	30	6	367	133	+14	+0	+1	+1	+8	2.5
2005	23	MLB MLE	2 teams	—	360	335	85	18	0	20	21	128	3	2	1	254	304	487	790	233	346	36	6	342	118	+8	+0	-17	-4	+8	-0.6
2005	23	MLB RAW	2 teams	—	360	335	86	18	0	20	21	126	3	2	1	257	306	490	796	233	347	35	6	347	118	+8	+0	-17	-4	+8	-0.6
2006	24	MLB MLE	2 teams	—	356	320	93	16	2	13	24	102	6	0	1	291	351	475	826	184	379	29	7	360	130	+13	-0	-5	-4	+8	1.1
2006	24	MLB RAW	2 teams	—	356	317	93	16	2	13	27	100	6	0	1	293	360	479	839	186	381	28	8	366	130	+13	-0	-5	-4	+8	1.1
2007	25	MLB MLE	Washington Nationals	—	317	291	73	13	1	13	20	94	6	2	1	251	312	436	749	186	326	30	6	332	111	+4	+0	-9	-3	+7	-0.2
2007	25	MLB RAW	Washington Nationals	—	317	289	73	13	1	13	22	94	6	2	1	253	319	439	758	187	330	30	7	337	111	+4	+0	-9	-3	+7	-0.2
2008	26	MLB MLE	Washington Nationals	—	206	195	40	6	0	2	10	48	0	0	1	205	244	267	511	62	260	23	5	232	43	-14	-0	-0	-2	+4	-1.3
2008	26	MLB RAW	Washington Nationals	—	206	195	40	6	0	2	10	48	0	0	1	205	244	267	511	62	260	23	5	232	43	-14	-0	-0	-2	+4	-1.3
2009	27	AAA MLE	Buffalo Bisons	—	152	147	35	4	0	4	3	34	0	0	0	238	253	347	600	109	279	22	2	265	65	—	—	—	—	—	—
2009	27	AAA RAW	Buffalo Bisons	—	152	145	40	5	0	5	5	28	0	0	0	276	300	414	714	138	307	18	3	312	65	—	—	—	—	—	—
2010	28	AAA MLE	2 teams	—	186	173	50	6	0	9	11	64	1	0	1	289	335	480	815	191	406	34	6	351	124	—	—	—	—	—	—
2010	28	AAA RAW	2 teams	—	186	169	53	8	0	10	15	55	1	0	1	314	373	538	911	225	410	30	8	398	124	—	—	—	—	—	—
2011	29	AAA MLE	3 teams	—	560	507	139	27	3	32	34	147	17	7	2	274	341	529	869	254	324	26	6	368	135	—	—	—	—	—	—
2011	29	AAA RAW	3 teams	—	560	489	142	27	3	37	52	130	17	7	2	290	378	585	963	294	324	23	9	416	135	—	—	—	—	—	—
2016	34	INTL MLE	Tigres del Licey	—	27	26	6	0	0	0	1	8	0	0	0	231	259	231	490		333	30	4	—	—	—	—	—	—	—	—
2016	34	INTL RAW	Tigres del Licey	—	27	26	6	0	0	0	1	8	0	0	0	231	259	231	490		333	30	4	227	40	—	—	—	—	—	—
2002	20	MLB MLE	Cincinnati Reds	—	18	18	4	0	0	1	0	11	0	0	0	222	222	389	611	167	500	61	0	266	66	—	—	—	—	—	—
2003	21	MLB MLE	Cincinnati Reds	—	181	166	36	6	1	5	10	53	3	3	2	217	272	355	628	139	290	29	6	280	75	—	—	—	—	—	—
2004	22	MLB MLE	Cincinnati Reds	—	364	334	87	10	1	26	21	108	6	5	2	260	313	530	843	269	302	30	6	365	133	—	—	—	—	—	—
2005	23	MLB MLE	2 teams	—	360	333	85	18	0	20	21	128	3	2	1	255	304	489	793	234	346	36	6	342	118	—	—	—	—	—	—
2006	24	MLB MLE	2 teams	—	356	323	93	16	2	13	24	102	6	0	1	288	351	471	822	183	379	29	7	360	130	—	—	—	—	—	—
2007	25	MLB MLE	Washington Nationals	—	317	288	73	13	1	13	20	94	6	2	1	253	312	441	753	188	330	30	6	332	111	—	—	—	—	—	—
2008	26	MLB MLE	Washington Nationals	—	206	194	40	6	0	2	10	48	0	0	1	206	244	268	512	62	260	23	5	232	43	—	—	—	—	—	—
2009	27	AAA MLE	Buffalo Bisons	—	152	148	35	4	0	4	3	34	0	0	0	236	253	345	598	108	277	22	2	265	65	—	—	—	—	—	—
2010	28	AAA MLE	2 teams	—	186	172	50	6	0	9	11	64	1	0	1	291	335	483	818	192	401	34	6	351	124	—	—	—	—	—	—
2011	29	AAA MLE	3 teams	—	560	504	139	27	3	32	34	147	17	7	2	276	341	532	872	256	315	26	6	368	135	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1845	1703	425	70	5	84	111	559	23	12	8	250	304	445	749	195	320	30	6	329	111	+20	-1	-32	-18	+40	1.0
/ 162G	—	A+C		—	650	600	151	25	2	30	39	197	8	4	3	252	306	450	756	198	323	30	6	329	111	+7	-0	-11	-6	+14	0.4
Career	—	MLE		—	2727	2516	648	106	8	125	155	797	42	19	11	258	311	455	767	198	325	29	6	332	111	+20	-1	-32	-18	+40	1.0
/ 162G	—	MLE		—	650	600	154	25	2	30	37	190	10	5	3	257	311	455	766	198	324	29	6	332	111	+7	-0	-11	-6	+14	0.4

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.

2011 AAATacoma Rainiers · 332 PAwOBA .477 → .393 (−84)K% 18.4% → 23.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.37%	÷0.990	×1.290	—	—	23.93%
BB% (unintentional) /PA	9.34%	÷0.976	×0.710	—	×0.982	6.67%
HBP% /PA	2.71%	—	×0.980	—	×0.982	2.61%
Singles /BIP	23.79%	÷0.960	×0.900	×1.011	×0.982	22.16%
Doubles /BIP	9.25%	÷0.896	×0.810	×1.011	×0.982	8.31%
Triples /BIP	1.32%	÷0.993	×0.810	×1.011	×0.982	1.07%
Home runs /BIP	11.01%	÷1.004	×0.780	—	×0.982	8.40%

Factors used: league row PCL. Park (home-season share, regressed): HR 101, 1B 92, 2B 79, 3B 99, K 98, BB 95 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.011.

Result: wOBA .477 → .393; ISO .354 → .274; BABIP .384 → .343. 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 AAAPortland Beavers · 159 PAwOBA .402 → .351 (−51)K% 28.3% → 34.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.30%	÷1.055	×1.290	—	—	34.62%
BB% (unintentional) /PA	8.81%	÷1.042	×0.710	—	×0.992	5.95%
HBP% /PA	0.63%	—	×0.980	—	×0.992	0.61%
Singles /BIP	31.96%	÷0.945	×0.900	×1.050	×0.992	31.69%
Doubles /BIP	6.19%	÷0.945	×0.810	×1.050	×0.992	5.52%
Triples /BIP	0.00%	÷0.939	×0.810	×1.050	×0.992	0.00%
Home runs /BIP	9.28%	÷0.875	×0.780	—	×0.992	8.20%

Factors used: league row PCL. Park (home-season share, regressed): HR 75, 1B 89, 2B 89, 3B 88, K 111, BB 108 — 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 ×1.050.

Result: wOBA .402 → .351; ISO .232 → .198; BABIP .416 → .401. 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 AAABuffalo Bisons · 152 PAwOBA .307 → .265 (−43)K% 18.4% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.42%	÷1.000	×1.200	—	—	22.11%
BB% (unintentional) /PA	3.29%	÷1.000	×0.690	—	×1.003	2.28%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	25.64%	÷1.000	×0.930	×0.991	×1.003	23.70%
Doubles /BIP	4.27%	÷1.000	×0.830	×0.991	×1.003	3.52%
Triples /BIP	0.00%	÷1.000	×0.970	×0.991	×1.003	0.00%
Home runs /BIP	4.27%	÷1.000	×0.840	—	×1.003	3.60%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.991.

Result: wOBA .307 → .265; ISO .138 → .114; BABIP .307 → .277. 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).

2006 AAAPawtucket Red Sox · 52 PAwOBA .354 → .327 (−28)K% 19.2% → 23.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.23%	÷1.000	×1.200	—	—	23.08%
BB% (unintentional) /PA	11.54%	÷1.000	×0.690	—	×1.048	8.34%
HBP% /PA	5.77%	—	×0.940	—	×1.048	5.68%
Singles /BIP	22.58%	÷1.000	×0.930	—	×1.048	22.01%
Doubles /BIP	3.23%	÷1.000	×0.830	—	×1.048	2.81%
Triples /BIP	0.00%	÷1.000	×0.970	—	×1.048	0.00%
Home runs /BIP	6.45%	÷1.000	×0.840	—	×1.048	5.68%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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).

Result: wOBA .354 → .327; ISO .171 → .158; BABIP .267 → .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).

2005 AAALouisville Bats · 25 PAwOBA .334 → .271 (−63)K% 40.0% → 48.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	40.00%	÷1.000	×1.200	—	—	48.00%
BB% (unintentional) /PA	4.00%	÷1.000	×0.690	—	×1.050	2.90%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	35.71%	÷1.000	×0.930	—	×1.050	34.88%
Doubles /BIP	7.14%	÷1.000	×0.830	—	×1.050	6.22%
Triples /BIP	0.00%	÷1.000	×0.970	—	×1.050	0.00%
Home runs /BIP	7.14%	÷1.000	×0.840	—	×1.050	6.30%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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).

Result: wOBA .334 → .271; ISO .167 → .129; BABIP .462 → .439. 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 — .