Corey Hart

PosRF

B/TR/R

Born1982-03-24

Age (2027)45

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2015

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2012	30	MLBMIL	622	.270/.335/.507	30	5	131	1.2
2014	32	AAASEA	77	.286/.351/.571	4	0	82	—	.205/.247/.397
2014	32	MLBSEA	255	.203/.272/.319	6	2	68	-0.9
2015	33	AAAPIT	43	.167/.186/.333	2	0	-1	—	.143/.163/.310
2015	33	MLBPIT	57	.222/.250/.352	2	0	60	-0.5
2016	34	No MLB games played
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 -0.1

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	23	MLB	Milwaukee Brewers	—	63	57	11	2	1	2	6	11	0	2	0	193	270	368	638	175	205	17	10	285	79	-2	+0	-1	+2	+1	0.1
2005	23	AAA	Nashville Sounds	—	489	429	132	29	9	17	48	88	3	31	7	308	381	536	917	228	348	18	10	394	105	—	—	—	—	—	—
2006	24	MLB	Milwaukee Brewers	—	256	237	67	13	2	9	17	58	0	5	8	283	331	468	799	186	337	23	7	349	121	+6	-2	-4	-4	+6	0.2
2006	24	AAA	Nashville Sounds	—	115	100	32	10	1	4	12	25	1	11	2	320	398	560	958	240	384	22	10	411	109	—	—	—	—	—	—
2007	25	MLB	Milwaukee Brewers	—	566	505	149	33	9	24	36	99	13	23	7	295	357	539	896	244	321	17	6	383	143	+29	+2	+0	-6	+12	3.8
2008	26	MLB	Milwaukee Brewers	—	657	612	164	45	6	20	27	109	5	23	7	268	304	459	763	191	293	17	4	328	107	+5	+2	-11	-7	+14	0.3
2009	27	MLB	Milwaukee Brewers	—	472	419	109	24	3	12	43	92	6	11	6	260	338	418	755	158	305	19	9	336	113	+7	-0	-10	-5	+10	0.2
2010	28	MLB	Milwaukee Brewers	—	614	558	158	34	4	31	45	140	6	7	6	283	343	525	868	242	324	23	7	376	140	+29	-1	-15	-7	+13	2.1
2011	29	MLB	Milwaukee Brewers	—	551	492	140	25	4	26	51	114	4	7	6	285	356	510	867	226	323	21	9	378	141	+27	-1	-4	-6	+12	2.9
2011	29	AAA	Nashville Sounds	—	15	15	2	2	0	0	0	3	0	0	0	133	133	267	400	133	167	20	0	171	-32	—	—	—	—	—	—
2012	30	MLB	Milwaukee Brewers	—	622	562	152	35	4	30	44	151	11	5	0	270	335	507	843	237	318	24	7	366	131	+23	+1	-14	-11	+13	1.2
2014	32	MLB	Seattle Mariners	—	255	232	47	9	0	6	16	59	6	2	0	203	272	319	591	116	244	23	6	269	68	-10	+0	-2	-4	+6	-0.9
2014	32	AAA	Tacoma Rainiers	—	77	70	20	4	2	4	7	13	0	0	0	286	351	571	922	286	302	17	9	398	82	—	—	—	—	—	—
2015	33	MLB	Pittsburgh Pirates	—	57	54	12	1	0	2	1	19	1	0	0	222	250	352	602	130	294	33	2	264	60	-3	+0	-1	-2	+1	-0.5
2015	33	AAA	Indianapolis Indians	—	43	42	7	1	0	2	1	15	0	0	0	167	186	333	519	167	200	35	2	227	-1	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	4113	3728	1009	221	33	162	286	852	52	85	40	271	331	478	809	207	308	21	7	352	124	+120	+1	-61	-49	+89	10.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	23	MLB MLE	Milwaukee Brewers	—	63	57	11	2	1	2	6	11	0	2	0	193	270	368	638	175	205	17	10	285	79	-2	+0	-1	+2	+1	0.1
2005	23	AAA MLE	Nashville Sounds	—	489	442	115	24	7	14	35	113	3	31	7	260	319	441	760	181	305	23	7	324	105	—	—	—	—	—	—
2006	24	MLB MLE	Milwaukee Brewers	—	256	238	67	13	2	9	16	58	0	5	8	282	327	466	793	185	337	23	6	347	121	+6	-2	-4	-4	+6	0.2
2006	24	AAA MLE	Nashville Sounds	—	115	103	27	8	1	3	9	32	1	11	2	262	327	447	774	184	327	28	8	330	109	—	—	—	—	—	—
2007	25	MLB MLE	Milwaukee Brewers	—	566	508	149	33	9	24	33	99	13	23	7	293	352	535	887	242	321	17	6	379	143	+29	+2	+0	-6	+12	3.8
2008	26	MLB MLE	Milwaukee Brewers	—	657	614	164	45	6	20	25	109	5	23	7	267	301	458	759	191	293	17	4	326	107	+5	+2	-11	-7	+14	0.3
2009	27	MLB MLE	Milwaukee Brewers	—	472	419	109	24	3	12	43	92	6	11	6	260	338	418	755	158	305	19	9	336	113	+7	-0	-10	-5	+10	0.2
2010	28	MLB MLE	Milwaukee Brewers	—	614	560	159	36	4	30	43	140	6	7	6	284	342	523	865	239	324	23	7	375	140	+29	-1	-15	-7	+13	2.1
2011	29	MLB MLE	Milwaukee Brewers	—	551	493	141	27	4	25	50	114	4	7	6	286	356	509	866	223	323	21	9	377	141	+27	-1	-4	-6	+12	2.9
2011	29	AAA MLE	Nashville Sounds	—	15	15	1	1	0	0	0	4	0	0	0	67	67	133	200	67	130	27	0	121	-32	—	—	—	—	—	—
2012	30	MLB MLE	Milwaukee Brewers	—	622	567	153	37	4	29	39	151	11	5	0	270	329	503	832	233	318	24	6	362	131	+23	+1	-14	-11	+13	1.2
2014	32	MLB MLE	Seattle Mariners	—	255	233	47	9	0	6	15	59	6	2	0	202	268	318	585	116	244	23	6	269	68	-10	+0	-2	-4	+6	-0.9
2014	32	AAA MLE	Tacoma Rainiers	—	77	73	15	3	1	3	4	16	0	0	0	205	247	397	644	192	235	21	5	289	82	—	—	—	—	—	—
2015	33	MLB MLE	Pittsburgh Pirates	—	57	55	12	1	0	2	0	19	1	0	0	218	232	345	578	127	294	33	0	257	60	-3	+0	-1	-2	+1	-0.5
2015	33	AAA MLE	Indianapolis Indians	—	43	42	6	1	0	2	1	18	0	0	0	143	163	310	472	167	163	42	2	167	-1	—	—	—	—	—	—
2005	23	AAA MLE	2 teams	—	552	499	126	26	8	16	41	124	3	33	7	253	313	433	746	180	301	22	7	320	102	—	—	—	—	—	—
2005	23	AAA RAW	2 teams	—	552	486	143	31	10	19	54	99	3	33	7	294	368	516	885	222	332	18	10	381	102	—	—	—	—	—	—
2006	24	MLB MLE	2 teams	—	371	341	94	21	3	12	25	90	1	16	10	276	327	460	787	185	337	24	7	341	117	+8	-1	-4	-4	+8	0.7
2006	24	MLB RAW	2 teams	—	371	337	99	23	3	13	29	83	1	16	10	294	351	496	847	202	351	22	8	368	117	+8	-1	-4	-4	+8	0.7
2007	25	MLB MLE	Milwaukee Brewers	—	566	508	149	33	9	24	33	99	13	23	7	293	352	535	887	242	319	17	6	379	143	+29	+2	+0	-6	+12	3.8
2007	25	MLB RAW	Milwaukee Brewers	—	566	505	149	33	9	24	36	99	13	23	7	295	357	539	896	244	321	17	6	383	143	+29	+2	+0	-6	+12	3.8
2008	26	MLB MLE	Milwaukee Brewers	—	657	614	164	45	6	20	25	109	5	23	7	267	301	458	759	191	291	17	4	326	107	+5	+2	-11	-7	+14	0.3
2008	26	MLB RAW	Milwaukee Brewers	—	657	612	164	45	6	20	27	109	5	23	7	268	304	459	763	191	293	17	4	328	107	+5	+2	-11	-7	+14	0.3
2009	27	MLB MLE	Milwaukee Brewers	—	472	419	109	24	3	12	43	92	6	11	6	260	338	418	755	158	305	19	9	336	113	+7	-0	-10	-5	+10	0.2
2009	27	MLB RAW	Milwaukee Brewers	—	472	419	109	24	3	12	43	92	6	11	6	260	338	418	755	158	305	19	9	336	113	+7	-0	-10	-5	+10	0.2
2010	28	MLB MLE	Milwaukee Brewers	—	614	560	159	36	4	30	43	140	6	7	6	284	342	523	865	239	327	23	7	375	140	+29	-1	-15	-7	+13	2.1
2010	28	MLB RAW	Milwaukee Brewers	—	614	558	158	34	4	31	45	140	6	7	6	283	343	525	868	242	324	23	7	376	140	+29	-1	-15	-7	+13	2.1
2011	29	MLB MLE	2 teams	—	566	508	142	28	4	25	50	118	4	7	6	280	349	498	847	219	320	21	9	370	137	+25	-1	-4	-6	+12	2.7
2011	29	MLB RAW	2 teams	—	566	507	142	27	4	26	51	117	4	7	6	280	351	503	853	223	318	21	9	372	137	+25	-1	-4	-6	+12	2.7
2012	30	MLB MLE	Milwaukee Brewers	—	622	567	153	37	4	29	39	151	11	5	0	270	329	503	832	233	318	24	6	362	131	+23	+1	-14	-11	+13	1.2
2012	30	MLB RAW	Milwaukee Brewers	—	622	562	152	35	4	30	44	151	11	5	0	270	335	507	843	237	318	24	7	366	131	+23	+1	-14	-11	+13	1.2
2014	32	MLB MLE	2 teams	—	332	306	62	12	1	9	19	75	6	2	0	203	263	337	599	134	238	23	6	273	71	-11	+0	-2	-4	+7	-0.9
2014	32	MLB RAW	2 teams	—	332	302	67	13	2	10	23	72	6	2	0	222	290	377	668	156	258	22	7	299	71	-11	+0	-2	-4	+7	-0.9
2015	33	MLB MLE	2 teams	—	100	97	18	2	0	4	1	37	1	0	0	186	202	330	532	144	246	37	1	218	34	-8	+0	-1	-2	+2	-0.9
2015	33	MLB RAW	2 teams	—	100	96	19	2	0	4	2	34	1	0	0	198	222	344	566	146	254	34	2	248	34	-8	+0	-1	-2	+2	-0.9
2005	23	AAA MLE	2 teams	—	552	503	126	26	8	16	41	124	3	33	7	250	313	429	742	179	294	22	7	320	102	—	—	—	—	—	—
2006	24	MLB MLE	2 teams	—	371	342	94	21	3	12	25	90	1	16	10	275	327	459	786	184	334	24	7	341	117	—	—	—	—	—	—
2007	25	MLB MLE	Milwaukee Brewers	—	566	515	149	33	9	24	33	99	13	23	7	289	352	528	880	239	321	17	6	379	143	—	—	—	—	—	—
2008	26	MLB MLE	Milwaukee Brewers	—	657	622	164	45	6	20	25	109	5	23	7	264	301	452	753	188	293	17	4	326	107	—	—	—	—	—	—
2009	27	MLB MLE	Milwaukee Brewers	—	472	420	109	24	3	12	43	92	6	11	6	260	338	417	754	157	305	19	9	336	113	—	—	—	—	—	—
2010	28	MLB MLE	Milwaukee Brewers	—	614	560	159	36	4	30	43	140	6	7	6	284	342	523	865	239	324	23	7	375	140	—	—	—	—	—	—
2011	29	MLB MLE	2 teams	—	566	507	142	28	4	25	50	118	4	7	6	280	349	499	848	219	318	21	9	370	137	—	—	—	—	—	—
2012	30	MLB MLE	Milwaukee Brewers	—	622	567	153	37	4	29	39	151	11	5	0	270	329	503	832	233	318	24	6	362	131	—	—	—	—	—	—
2014	32	MLB MLE	2 teams	—	332	304	62	12	1	9	19	75	6	2	0	204	263	339	602	135	242	23	6	273	71	—	—	—	—	—	—
2015	33	MLB MLE	2 teams	—	100	98	18	2	0	4	1	37	1	0	0	184	202	327	529	143	238	37	1	218	34	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4113	3728	1009	221	33	162	286	852	52	85	40	271	331	478	809	207	308	21	7	352	119	+120	+1	-61	-49	+89	10.2
/ 162G	—	A+C		—	650	589	160	35	5	26	45	135	8	13	6	272	331	480	812	209	309	21	7	352	119	+19	+0	-10	-8	+14	1.6
Career	—	MLE		—	4852	4419	1176	264	42	181	319	1035	56	127	49	266	324	468	791	202	307	21	7	344	119	+120	+1	-61	-49	+89	10.2
/ 162G	—	MLE		—	650	592	157	35	6	24	43	139	8	17	7	265	323	466	790	201	306	21	7	344	119	+19	+0	-10	-8	+14	1.6

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.

2015 AAAIndianapolis Indians · 43 PAwOBA .220 → .167 (−53)K% 34.9% → 42.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.88%	÷0.977	×1.200	—	—	42.83%
BB% (unintentional) /PA	2.33%	÷1.077	×0.690	—	×0.942	1.40%
HBP% /PA	0.00%	—	×0.940	—	×0.942	0.00%
Singles /BIP	14.81%	÷1.044	×0.930	—	×0.942	12.43%
Doubles /BIP	3.70%	÷1.050	×0.830	—	×0.942	2.76%
Triples /BIP	0.00%	÷1.041	×0.970	—	×0.942	0.00%
Home runs /BIP	7.41%	÷0.847	×0.840	—	×0.942	6.92%

Factors used: league row IL. Park (home-season share, regressed): HR 69, 1B 109, 2B 110, 3B 108, K 95, BB 115 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average).

Result: wOBA .220 → .167; ISO .167 → .134; BABIP .200 → .163. 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 AAATacoma Rainiers · 77 PAwOBA .387 → .289 (−97)K% 16.9% → 21.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.88%	÷1.017	×1.290	—	—	21.42%
BB% (unintentional) /PA	9.09%	÷1.052	×0.710	—	×0.952	5.84%
HBP% /PA	0.00%	—	×0.980	—	×0.952	0.00%
Singles /BIP	17.54%	÷1.016	×0.900	×0.950	×0.952	14.06%
Doubles /BIP	7.02%	÷0.937	×0.810	×0.950	×0.952	5.48%
Triples /BIP	3.51%	÷0.971	×0.810	×0.950	×0.952	2.65%
Home runs /BIP	7.02%	÷0.963	×0.780	—	×0.952	5.41%

Factors used: league row PCL. Park (home-season share, regressed): HR 93, 1B 103, 2B 87, 3B 94, K 103, BB 110 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .387 → .289; ISO .286 → .216; BABIP .302 → .235. 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 AAANashville Sounds · 15 PAwOBA .166 → .121 (−45)K% 20.0% → 24.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷1.035	×1.290	—	—	24.94%
BB% (unintentional) /PA	0.00%	÷0.950	×0.710	—	×0.982	0.00%
HBP% /PA	0.00%	—	×0.980	—	×0.982	0.00%
Singles /BIP	0.00%	÷0.980	×0.900	—	×0.982	0.00%
Doubles /BIP	16.67%	÷1.024	×0.810	—	×0.982	12.95%
Triples /BIP	0.00%	÷1.150	×0.810	—	×0.982	0.00%
Home runs /BIP	0.00%	÷1.028	×0.780	—	×0.982	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 106, 1B 96, 2B 105, 3B 130, K 107, BB 90 — 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).

Result: wOBA .166 → .121; ISO .133 → .097; BABIP .167 → .130. 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 AAANashville Sounds · 115 PAwOBA .407 → .330 (−77)K% 21.7% → 28.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.74%	÷1.000	×1.290	—	—	28.04%
BB% (unintentional) /PA	10.43%	÷1.000	×0.710	—	×1.048	7.76%
HBP% /PA	0.87%	—	×0.980	—	×1.048	0.89%
Singles /BIP	22.67%	÷1.000	×0.900	×0.950	×1.048	20.31%
Doubles /BIP	13.33%	÷1.000	×0.810	×0.950	×1.048	10.75%
Triples /BIP	1.33%	÷1.000	×0.810	×0.950	×1.048	1.08%
Home runs /BIP	5.33%	÷1.000	×0.780	—	×1.048	4.36%

Factors used: league row PCL. 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 ×0.950.

Result: wOBA .407 → .330; ISO .240 → .189; BABIP .384 → .327. 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 AAANashville Sounds · 489 PAwOBA .387 → .324 (−63)K% 18.0% → 23.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.00%	÷1.000	×1.290	—	—	23.21%
BB% (unintentional) /PA	9.61%	÷1.000	×0.710	—	×1.050	7.17%
HBP% /PA	0.61%	—	×0.980	—	×1.050	0.63%
Singles /BIP	22.58%	÷1.000	×0.900	×0.967	×1.050	20.63%
Doubles /BIP	8.50%	÷1.000	×0.810	×0.967	×1.050	6.99%
Triples /BIP	2.64%	÷1.000	×0.810	×0.967	×1.050	2.17%
Home runs /BIP	4.99%	÷1.000	×0.780	—	×1.050	4.08%

Factors used: league row PCL. 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.967.

Result: wOBA .387 → .324; ISO .228 → .185; BABIP .348 → .305. 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).