Lastings Milledge

PosCF

B/TR/R

Born1985-04-05

Age (2027)42

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	25	INTLTigres de Ara…	150	.266/.352/.422	4	4	114	—
2010	25	MLBPIT	412	.277/.332/.380	4	5	99	-0.1
2011	26	AAA/INTL2 orgs	664	.297/.371/.455	16	31	103	—	.263/.318/.377
2016	31	INTLCharros de Ja…	21	.143/.143/.143	0	0	-26	—
2017	32	No MLB games played
2018	33	No MLB games played
2019	34	No MLB games played
2020	35	No MLB games played
2021	36	No MLB games played
2022	37	No MLB games played
2023	38	No MLB games played
2024	39	No MLB games played
2025	40	No MLB games played
2026	41	No MLB games played

Last 3 seasons WAR -0.1

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)
2005	20	AA	Binghamton Mets	—	214	193	65	17	0	4	14	47	4	11	5	337	393	487	880	150	427	22	7	386	116	—	—	—	—	—	—
2005	20	A+	St. Lucie Mets	—	269	232	70	15	0	4	19	41	13	18	13	302	386	418	804	116	351	15	7	359	103	—	—	—	—	—	—
2006	21	MLB	New York Mets	—	185	166	40	7	2	4	12	39	5	1	2	241	311	380	691	139	290	21	6	308	85	-3	-1	-4	-6	+4	-1.0
2006	21	AAA	Norfolk Tides	—	367	307	85	21	4	7	43	67	14	13	10	277	390	440	830	163	332	18	12	371	105	—	—	—	—	—	—
2007	22	MLB	New York Mets	—	206	184	50	9	1	7	13	42	7	3	2	272	343	446	789	174	316	20	6	349	117	+4	-0	-4	-3	+4	0.1
2007	22	AAA	New Orleans Zephyrs	—	43	39	13	1	0	1	2	12	1	5	0	333	381	436	817	103	444	28	5	359	91	—	—	—	—	—	—
2007	22	AA	Binghamton Mets	—	24	23	10	1	1	3	0	4	1	1	0	435	458	957	1.415	522	438	17	0	600	229	—	—	—	—	—	—
2008	23	MLB	Washington Nationals	—	587	523	140	24	2	14	38	96	14	24	9	268	334	402	735	134	300	16	6	324	105	+3	+1	-15	+2	+13	0.5
2009	24	MLB	Pittsburgh Pirates	—	265	244	68	11	0	4	13	47	4	7	4	279	326	373	699	94	328	18	5	311	97	-1	-0	-2	-5	+6	-0.3
2009	24	AAA	Indianapolis Indians	—	157	139	40	11	0	0	11	26	3	9	3	288	353	367	720	79	345	17	7	320	88	—	—	—	—	—	—
2009	24	ROK	GCL Pirates	—	22	17	5	2	0	1	5	2	0	2	0	294	455	588	1.043	294	286	9	23	452	101	—	—	—	—	—	—
2010	25	MLB	Pittsburgh Pirates	—	412	379	105	21	3	4	28	62	3	5	3	277	332	380	712	103	323	15	7	319	99	-1	-0	-3	-6	+9	-0.1
2010	25	INTL	Tigres de Aragua	—	150	128	34	8	0	4	13	23	4	4	1	266	352	422	774	156	286	15	9	337	114	—	—	—	—	—	—
2011	26	AAA	Charlotte Knights	—	505	444	131	23	3	12	43	63	6	27	6	295	365	441	807	146	321	12	9	352	89	—	—	—	—	—	—
2011	26	INTL	Tigres de Aragua	—	159	138	42	11	2	4	15	29	4	4	1	304	389	500	889	196	355	18	9	388	149	—	—	—	—	—	—
2016	31	INTL	Charros de Jalisco	—	21	21	3	0	0	0	0	2	0	0	0	143	143	143	286		158	10	0	129	-26	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1655	1496	403	72	8	33	104	286	33	40	20	269	331	394	725	125	311	17	6	322	104	+8	+0	-29	-18	+36	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	20	AA MLE	Binghamton Mets	—	214	197	61	15	0	3	10	57	4	11	5	310	355	431	787	122	411	27	5	340	116	—	—	—	—	—	—
2005	20	A+ MLE	St. Lucie Mets	—	269	237	65	14	0	4	14	58	13	18	13	274	348	384	732	110	340	22	5	320	103	—	—	—	—	—	—
2006	21	MLB MLE	New York Mets	—	185	170	40	7	2	4	8	39	5	1	2	235	290	371	660	135	290	21	4	293	85	-3	-1	-4	-6	+4	-1.0
2006	21	AAA MLE	Norfolk Tides	—	367	320	79	18	4	6	30	80	14	13	10	247	338	384	722	138	310	22	8	324	105	—	—	—	—	—	—
2007	22	MLB MLE	New York Mets	—	206	186	50	9	1	7	11	42	7	3	2	269	333	441	774	172	316	20	5	342	117	+4	-0	-4	-3	+4	0.1
2007	22	AAA MLE	New Orleans Zephyrs	—	43	39	12	1	0	1	2	15	1	5	0	308	357	410	767	103	413	35	5	303	91	—	—	—	—	—	—
2007	22	AA MLE	Binghamton Mets	—	24	23	9	1	1	2	0	5	1	1	0	391	417	783	1.199	391	419	21	0	507	229	—	—	—	—	—	—
2008	23	MLB MLE	Washington Nationals	—	587	524	140	24	2	14	37	96	14	24	9	267	332	401	733	134	300	16	6	323	105	+3	+1	-15	+2	+13	0.5
2009	24	MLB MLE	Pittsburgh Pirates	—	265	244	68	11	0	4	13	47	4	7	4	279	326	373	699	94	328	18	5	311	97	-1	-0	-2	-5	+6	-0.3
2009	24	AAA MLE	Indianapolis Indians	—	157	142	39	10	0	0	8	31	3	9	3	275	327	345	672	70	334	20	5	298	88	—	—	—	—	—	—
2009	24	ROK MLE	GCL Pirates	—	22	19	4	1	0	1	3	3	0	2	0	211	318	421	739	211	206	14	14	317	101	—	—	—	—	—	—
2010	25	MLB MLE	Pittsburgh Pirates	—	412	382	104	20	3	4	25	62	3	5	3	272	322	372	694	99	323	15	6	314	99	-1	-0	-3	-6	+9	-0.1
2011	26	AAA MLE	Charlotte Knights	—	505	456	120	16	3	10	31	72	6	27	6	263	318	377	696	114	284	14	6	300	89	—	—	—	—	—	—
2005	20	A+ MLE	2 teams	—	483	434	126	29	0	7	24	115	17	29	18	290	352	406	757	115	379	24	5	329	109	—	—	—	—	—	—
2005	20	A+ RAW	2 teams	—	483	425	135	32	0	8	33	88	17	29	18	318	389	449	839	132	384	18	7	371	109	—	—	—	—	—	—
2006	21	AAA MLE	2 teams	—	552	490	119	25	6	10	38	119	19	14	12	243	322	380	701	137	299	22	7	314	98	—	—	—	—	—	—
2006	21	AAA RAW	2 teams	—	552	473	125	28	6	11	55	106	19	14	12	264	364	419	782	154	318	19	10	350	98	—	—	—	—	—	—
2007	22	MLB MLE	3 teams	—	273	248	70	11	2	10	13	62	9	9	2	282	341	464	804	181	337	23	5	350	123	+8	+1	-4	-3	+6	0.7
2007	22	MLB RAW	3 teams	—	273	246	73	11	2	11	15	58	9	9	2	297	359	492	851	195	346	21	5	372	123	+8	+1	-4	-3	+6	0.7
2008	23	MLB MLE	Washington Nationals	—	587	524	140	24	2	14	37	96	14	24	9	267	332	401	733	134	299	16	6	323	105	+3	+1	-15	+2	+13	0.5
2008	23	MLB RAW	Washington Nationals	—	587	523	140	24	2	14	38	96	14	24	9	268	334	402	735	134	300	16	6	324	105	+3	+1	-15	+2	+13	0.5
2009	24	MLB MLE	3 teams	—	444	405	111	22	0	5	24	81	7	18	7	274	326	365	691	91	327	18	5	307	94	-3	+1	-2	-5	+10	0.0
2009	24	MLB RAW	3 teams	—	444	400	113	24	0	5	29	75	7	18	7	282	342	380	722	98	332	17	7	321	94	-3	+1	-2	-5	+10	0.0
2010	25	MLB MLE	2 teams	—	562	514	143	27	4	6	34	85	7	9	4	278	332	381	713	103	321	15	6	314	99	-1	+0	-3	-6	+12	0.2
2010	25	MLB RAW	2 teams	—	562	507	139	29	3	8	41	85	7	9	4	274	337	391	727	116	313	15	7	324	99	-1	+0	-3	-6	+12	0.2
2011	26	AAA MLE	2 teams	—	664	599	158	21	4	13	41	95	10	31	7	264	322	377	699	114	293	14	6	300	89	—	—	—	—	—	—
2011	26	AAA RAW	2 teams	—	664	582	173	34	5	16	58	92	10	31	7	297	371	455	826	158	328	14	9	361	89	—	—	—	—	—	—
2016	31	INTL MLE	Charros de Jalisco	—	21	21	3	0	0	0	0	2	0	0	0	143	143	143	286		158	10	0	—	—	—	—	—	—	—	—
2016	31	INTL RAW	Charros de Jalisco	—	21	21	3	0	0	0	0	2	0	0	0	143	143	143	286		158	10	0	129	-26	—	—	—	—	—	—
2005	20	A+ MLE	2 teams	—	483	439	126	29	0	7	24	115	17	29	18	287	352	401	752	114	371	24	5	329	109	—	—	—	—	—	—
2006	21	AAA MLE	2 teams	—	552	490	119	25	6	10	38	119	19	14	12	243	322	380	701	137	303	22	7	314	98	—	—	—	—	—	—
2007	22	MLB MLE	3 teams	—	273	249	70	11	2	10	13	62	9	9	2	281	341	462	803	181	340	23	5	350	123	—	—	—	—	—	—
2008	23	MLB MLE	Washington Nationals	—	587	531	140	24	2	14	37	96	14	24	9	264	332	395	728	132	300	16	6	323	105	—	—	—	—	—	—
2009	24	MLB MLE	3 teams	—	444	410	111	22	0	5	24	81	7	18	7	271	326	361	687	90	324	18	5	307	94	—	—	—	—	—	—
2010	25	MLB MLE	2 teams	—	562	516	143	27	4	6	34	85	7	9	4	277	332	380	711	103	323	15	6	314	99	—	—	—	—	—	—
2011	26	AAA MLE	2 teams	—	664	608	158	21	4	13	41	95	10	31	7	260	322	372	693	112	284	14	6	300	89	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1655	1496	403	72	8	33	104	286	33	40	20	269	331	394	725	125	311	17	6	322	99	+8	+0	-29	-18	+36	-0.2
/ 162G	—	A+C		—	650	588	158	28	3	13	41	112	13	16	8	269	330	393	723	124	310	17	6	322	99	+3	+0	-11	-7	+14	-0.1
Career	—	MLE		—	3586	3235	870	159	18	65	211	655	83	134	59	269	330	389	719	121	317	18	6	315	99	+8	+0	-29	-18	+36	-0.2
/ 162G	—	MLE		—	650	586	158	29	3	12	38	119	15	24	11	270	330	391	720	121	317	18	6	315	99	+3	+0	-11	-7	+14	-0.1

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 AAACharlotte Knights · 505 PAwOBA .344 → .300 (−44)K% 12.5% → 14.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.48%	÷1.049	×1.200	—	—	14.27%
BB% (unintentional) /PA	8.32%	÷0.965	×0.690	—	×1.018	6.05%
HBP% /PA	1.19%	—	×0.940	—	×1.018	1.14%
Singles /BIP	24.41%	÷0.982	×0.930	×0.976	×1.018	22.95%
Doubles /BIP	6.04%	÷1.232	×0.830	×0.976	×1.018	4.04%
Triples /BIP	0.79%	÷0.900	×0.970	×0.976	×1.018	0.84%
Home runs /BIP	3.15%	÷1.074	×0.840	—	×1.018	2.51%

Factors used: league row IL. Park (home-season share, regressed): HR 115, 1B 96, 2B 146, 3B 80, K 110, BB 93 — 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 ×0.976.

Result: wOBA .344 → .300; ISO .146 → .118; BABIP .321 → .284. 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 AAAIndianapolis Indians · 157 PAwOBA .318 → .298 (−20)K% 16.6% → 19.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.56%	÷1.000	×1.200	—	—	19.87%
BB% (unintentional) /PA	7.01%	÷1.000	×0.690	—	×1.048	5.07%
HBP% /PA	1.91%	—	×0.940	—	×1.048	1.88%
Singles /BIP	25.66%	÷1.000	×0.930	×1.025	×1.048	25.63%
Doubles /BIP	9.73%	÷1.000	×0.830	×1.025	×1.048	8.68%
Triples /BIP	0.00%	÷1.000	×0.970	×1.025	×1.048	0.00%
Home runs /BIP	0.00%	÷1.000	×0.840	—	×1.048	0.00%

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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.025.

Result: wOBA .318 → .298; ISO .079 → .072; BABIP .345 → .334. 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 ROKGCL Pirates · 22 PAwOBA .441 → .317 (−124)K% 9.1% → 13.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.09%	÷1.000	×1.440	—	—	13.09%
BB% (unintentional) /PA	22.73%	÷1.000	×0.620	—	×0.955	13.46%
HBP% /PA	0.00%	—	×0.720	—	×0.955	0.00%
Singles /BIP	13.33%	÷1.000	×0.820	—	×0.955	10.44%
Doubles /BIP	13.33%	÷1.000	×0.720	—	×0.955	9.17%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.955	0.00%
Home runs /BIP	6.67%	÷1.000	×0.780	—	×0.955	4.97%

Factors used: level-wide ROK 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 24 vs a level average of 19.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average).

Result: wOBA .441 → .317; ISO .294 → .229; BABIP .286 → .206. 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).

2007 AAANew Orleans Zephyrs · 43 PAwOBA .358 → .303 (−55)K% 27.9% → 36.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.91%	÷1.000	×1.290	—	—	36.00%
BB% (unintentional) /PA	4.65%	÷1.000	×0.710	—	×1.050	3.47%
HBP% /PA	2.33%	—	×0.980	—	×1.050	2.39%
Singles /BIP	40.74%	÷1.000	×0.900	—	×1.050	38.50%
Doubles /BIP	3.70%	÷1.000	×0.810	—	×1.050	3.15%
Triples /BIP	0.00%	÷1.000	×0.810	—	×1.050	0.00%
Home runs /BIP	3.70%	÷1.000	×0.780	—	×1.050	3.03%

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

Result: wOBA .358 → .303; ISO .103 → .079; BABIP .444 → .413. 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).

2007 AABinghamton Mets · 24 PAwOBA .581 → .507 (−75)K% 16.7% → 20.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷1.000	×1.220	—	—	20.33%
BB% (unintentional) /PA	0.00%	÷1.000	×0.700	—	×1.042	0.00%
HBP% /PA	4.17%	—	×0.850	—	×1.042	3.69%
Singles /BIP	26.32%	÷1.000	×0.970	—	×1.042	26.60%
Doubles /BIP	5.26%	÷1.000	×0.860	—	×1.042	4.72%
Triples /BIP	5.26%	÷1.000	×0.950	—	×1.042	5.21%
Home runs /BIP	15.79%	÷1.000	×0.780	—	×1.042	12.83%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average).

Result: wOBA .581 → .507; ISO .522 → .425; BABIP .438 → .419. 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 AAANorfolk Tides · 367 PAwOBA .363 → .324 (−39)K% 18.3% → 21.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.26%	÷1.000	×1.200	—	—	21.91%
BB% (unintentional) /PA	11.44%	÷1.000	×0.690	—	×1.050	8.29%
HBP% /PA	3.81%	—	×0.940	—	×1.050	3.77%
Singles /BIP	22.08%	÷1.000	×0.930	×0.985	×1.050	21.25%
Doubles /BIP	8.75%	÷1.000	×0.830	×0.985	×1.050	7.51%
Triples /BIP	1.67%	÷1.000	×0.970	×0.985	×1.050	1.67%
Home runs /BIP	2.92%	÷1.000	×0.840	—	×1.050	2.57%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.985.

Result: wOBA .363 → .324; ISO .163 → .147; BABIP .332 → .310. 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 A+St. Lucie Mets · 269 PAwOBA .350 → .320 (−30)K% 15.2% → 21.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.24%	÷1.000	×1.420	—	—	21.64%
BB% (unintentional) /PA	6.69%	÷1.000	×0.750	—	×1.042	5.23%
HBP% /PA	4.83%	—	×0.930	—	×1.042	4.68%
Singles /BIP	26.70%	÷1.000	×0.920	×1.002	×1.042	25.65%
Doubles /BIP	7.85%	÷1.000	×0.960	×1.002	×1.042	7.87%
Triples /BIP	0.00%	÷1.000	×0.810	×1.002	×1.042	0.00%
Home runs /BIP	2.09%	÷1.000	×0.880	—	×1.042	1.92%

Factors used: league row FSL. 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 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.002.

Result: wOBA .350 → .320; ISO .116 → .108; BABIP .351 → .340. 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 AABinghamton Mets · 214 PAwOBA .376 → .340 (−36)K% 22.0% → 26.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.96%	÷1.000	×1.220	—	—	26.79%
BB% (unintentional) /PA	6.07%	÷1.000	×0.700	—	×1.050	4.46%
HBP% /PA	1.87%	—	×0.850	—	×1.050	1.67%
Singles /BIP	30.14%	÷1.000	×0.970	×0.981	×1.050	30.11%
Doubles /BIP	11.64%	÷1.000	×0.860	×0.981	×1.050	10.31%
Triples /BIP	0.00%	÷1.000	×0.950	×0.981	×1.050	0.00%
Home runs /BIP	2.74%	÷1.000	×0.780	—	×1.050	2.24%

Factors used: league row EL. 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 24.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.981.

Result: wOBA .376 → .340; ISO .150 → .127; BABIP .427 → .411. 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 — .