Michael Reed

PosCF

B/TR/R

Born1992-11-18

Age (2027)34

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	24	AAMIL	205	.208/.348/.351	7	5	45	—	.167/.265/.250
2018	25	AAA/AA2 orgs	404	.342/.455/.520	11	10	125	—	.288/.373/.435
2019	26	AAASF	60	.226/.317/.358	1	2	34	—	.164/.233/.273

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)
2011	18	ROK	AZL Brewers	—	62	56	13	4	2	0	5	17	0	1	0	232	295	375	670	143	333	27	8	293	15	—	—	—	—	—	—
2012	19	A+	Brevard County Manatees	—	41	32	9	0	0	0	8	8	0	3	0	281	425	281	706		375	20	20	335	74	—	—	—	—	—	—
2012	19	ROK	Helena Brewers	—	208	179	44	5	1	1	24	58	1	11	1	246	338	302	640	56	355	28	12	294	24	—	—	—	—	—	—
2013	20	A	Wisconsin Timber Rattlers	—	539	455	130	23	13	1	71	108	4	26	10	286	387	400	787	114	371	20	13	351	85	—	—	—	—	—	—
2014	21	A+	Brevard County Manatees	—	457	365	93	20	5	5	78	79	9	33	13	255	398	378	776	123	310	17	17	355	90	—	—	—	—	—	—
2015	22	AAA	Colorado Springs Sky Sox	—	148	126	31	13	2	0	20	31	1	1	0	246	354	381	735	135	323	21	14	332	59	—	—	—	—	—	—
2015	22	AA	Biloxi Shuckers	—	377	313	87	20	5	5	53	80	3	25	7	278	388	422	809	144	347	21	14	358	97	—	—	—	—	—	—
2015	22	INTL	Surprise Saguaros	—	49	38	8	1	0	0	11	7	0	3	2	211	388	237	625	26	258	14	22	312	97	—	—	—	—	—	—
2016	23	MLB	Milwaukee Brewers	—	24	22	4	0	0	0	2	7	0	1	0	182	250	182	432		267	29	8	209	28	-2	+0	+0	+2	+1	0.1
2016	23	AAA	Colorado Springs Sky Sox	—	492	411	102	20	2	8	74	124	4	20	8	248	368	365	733	117	333	25	15	336	61	—	—	—	—	—	—
2017	24	AA	Biloxi Shuckers	—	205	168	35	3	0	7	35	59	1	5	4	208	348	351	699	143	272	29	17	323	45	—	—	—	—	—	—
2018	25	AAA	Gwinnett Stripers	—	229	193	70	13	0	7	32	55	3	4	0	363	461	539	999	176	477	24	14	441	131	—	—	—	—	—	—
2018	25	AA	Mississippi Braves	—	175	140	44	13	0	4	30	43	4	6	3	314	448	493	941	179	426	25	17	419	116	—	—	—	—	—	—
2019	26	AAA	Sacramento River Cats	—	60	53	12	4	0	1	7	21	0	2	0	226	317	358	675	132	355	35	12	307	34	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	24	22	4	0	0	0	2	7	0	1	0	182	250	182	432		267	29	8	209	28	-2	+0	+0	+2	+1	0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	18	ROK MLE	AZL Brewers	—	62	59	9	3	1	0	2	24	0	1	0	153	180	237	418	85	260	39	3	190	15	—	—	—	—	—	—
2012	19	A+ MLE	Brevard County Manatees	—	41	34	8	0	0	0	6	11	0	3	0	235	350	235	585		348	27	15	277	74	—	—	—	—	—	—
2012	19	ROK MLE	Helena Brewers	—	208	188	34	3	1	1	15	84	1	11	1	181	245	223	469	43	298	40	7	204	24	—	—	—	—	—	—
2013	20	A MLE	Wisconsin Timber Rattlers	—	539	481	122	19	12	1	45	151	4	26	10	254	323	349	672	96	356	28	8	294	85	—	—	—	—	—	—
2014	21	A+ MLE	Brevard County Manatees	—	457	385	84	20	4	4	58	118	9	33	13	218	334	322	656	104	300	26	13	301	90	—	—	—	—	—	—
2015	22	AAA MLE	Colorado Springs Sky Sox	—	148	131	25	9	1	0	15	41	1	1	0	191	279	275	554	84	274	28	10	256	59	—	—	—	—	—	—
2015	22	AA MLE	Biloxi Shuckers	—	377	330	82	20	5	4	36	100	3	25	7	248	328	376	704	127	325	27	10	311	97	—	—	—	—	—	—
2016	23	MLB MLE	Milwaukee Brewers	—	24	22	4	0	0	0	2	7	0	1	0	182	250	182	432		267	29	8	210	28	-2	+0	+0	+2	+1	0.1
2016	23	AAA MLE	Colorado Springs Sky Sox	—	492	433	84	14	1	6	52	166	4	20	8	194	286	273	559	79	293	34	11	258	61	—	—	—	—	—	—
2017	24	AA MLE	Biloxi Shuckers	—	205	180	30	3	0	4	23	75	1	5	4	167	265	250	515	83	249	37	11	235	45	—	—	—	—	—	—
2018	25	AAA MLE	Gwinnett Stripers	—	229	203	62	11	0	6	22	69	3	4	0	305	382	448	830	143	426	30	10	362	131	—	—	—	—	—	—
2018	25	AA MLE	Mississippi Braves	—	175	151	40	11	0	4	19	53	4	6	3	265	362	417	779	152	372	30	11	339	116	—	—	—	—	—	—
2019	26	AAA MLE	Sacramento River Cats	—	60	55	9	3	0	1	5	28	0	2	0	164	233	273	506	109	312	47	8	218	34	—	—	—	—	—	—
2011	18	ROK MLE	AZL Brewers	—	62	59	9	3	1	0	2	24	0	1	0	153	180	237	418	85	257	39	3	190	15	—	—	—	—	—	—
2011	18	ROK RAW	AZL Brewers	—	62	56	13	4	2	0	5	17	0	1	0	232	295	375	670	143	333	27	8	293	15	—	—	—	—	—	—
2012	19	ROK MLE	2 teams	—	249	223	42	3	1	1	20	95	1	14	1	188	258	224	482	36	320	38	8	216	32	—	—	—	—	—	—
2012	19	ROK RAW	2 teams	—	249	211	53	5	1	1	32	66	1	14	1	251	352	299	651	47	359	27	13	300	32	—	—	—	—	—	—
2013	20	A MLE	Wisconsin Timber Rattlers	—	539	481	122	19	12	1	45	151	4	26	10	254	323	349	672	96	366	28	8	294	85	—	—	—	—	—	—
2013	20	A RAW	Wisconsin Timber Rattlers	—	539	455	130	23	13	1	71	108	4	26	10	286	387	400	787	114	371	20	13	351	85	—	—	—	—	—	—
2014	21	A+ MLE	Brevard County Manatees	—	457	385	84	20	4	4	58	118	9	33	13	218	334	322	656	104	301	26	13	301	90	—	—	—	—	—	—
2014	21	A+ RAW	Brevard County Manatees	—	457	365	93	20	5	5	78	79	9	33	13	255	398	378	776	123	310	17	17	355	90	—	—	—	—	—	—
2015	22	AA MLE	3 teams	—	574	506	117	32	7	4	55	154	4	29	9	231	312	346	657	115	317	27	10	295	86	—	—	—	—	—	—
2015	22	AA RAW	3 teams	—	574	477	126	34	7	5	84	118	4	29	9	264	379	396	775	132	333	21	15	347	86	—	—	—	—	—	—
2016	23	AAA MLE	2 teams	—	516	455	88	14	1	6	54	173	4	21	8	193	285	268	553	75	294	34	10	256	59	—	—	—	—	—	—
2016	23	AAA RAW	2 teams	—	516	433	106	20	2	8	76	131	4	21	8	245	363	356	718	111	330	25	15	330	59	—	—	—	—	—	—
2017	24	AA MLE	Biloxi Shuckers	—	205	180	30	3	0	4	23	75	1	5	4	167	265	250	515	83	255	37	11	235	45	—	—	—	—	—	—
2017	24	AA RAW	Biloxi Shuckers	—	205	168	35	3	0	7	35	59	1	5	4	208	348	351	699	143	272	29	17	323	45	—	—	—	—	—	—
2018	25	AAA MLE	2 teams	—	404	354	101	22	0	10	41	123	7	10	3	285	371	432	803	147	408	30	10	352	124	—	—	—	—	—	—
2018	25	AAA RAW	2 teams	—	404	333	114	26	0	11	62	98	7	10	3	342	455	520	975	177	456	24	15	432	124	—	—	—	—	—	—
2019	26	AAA MLE	Sacramento River Cats	—	60	55	9	3	0	1	5	28	0	2	0	164	233	273	506	109	308	47	8	218	34	—	—	—	—	—	—
2019	26	AAA RAW	Sacramento River Cats	—	60	53	12	4	0	1	7	21	0	2	0	226	317	358	675	132	355	35	12	307	34	—	—	—	—	—	—
2011	18	ROK MLE	AZL Brewers	—	62	60	9	3	1	0	2	24	0	1	0	150	180	233	414	83	260	39	3	190	15	—	—	—	—	—	—
2012	19	ROK MLE	2 teams	—	249	226	42	3	1	1	20	95	1	14	1	186	258	221	479	35	306	38	8	216	32	—	—	—	—	—	—
2013	20	A MLE	Wisconsin Timber Rattlers	—	539	485	122	19	12	1	45	151	4	26	10	252	323	346	669	95	356	28	8	294	85	—	—	—	—	—	—
2014	21	A+ MLE	Brevard County Manatees	—	457	387	84	20	4	4	58	118	9	33	13	217	334	320	654	103	300	26	13	301	90	—	—	—	—	—	—
2015	22	AA MLE	3 teams	—	574	510	117	32	7	4	55	154	4	29	9	229	312	343	655	114	311	27	10	295	86	—	—	—	—	—	—
2016	23	AAA MLE	2 teams	—	516	453	88	14	1	6	54	173	4	21	8	194	285	269	554	75	292	34	10	256	59	—	—	—	—	—	—
2017	24	AA MLE	Biloxi Shuckers	—	205	179	30	3	0	4	23	75	1	5	4	168	265	251	516	84	249	37	11	235	45	—	—	—	—	—	—
2018	25	AAA MLE	2 teams	—	404	353	101	22	0	10	41	123	7	10	3	286	371	433	804	147	403	30	10	352	124	—	—	—	—	—	—
2019	26	AAA MLE	Sacramento River Cats	—	60	55	9	3	0	1	5	28	0	2	0	164	233	273	506	109	312	47	8	218	34	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	24	22	4	0	0	0	2	7	0	1	0	182	250	182	432		267	29	8	209	77	-2	+0	+0	+2	+1	0.1
/ 162G	—	A+C		—	650	596	108	0	0	0	54	190	0	27	0	181	249	181	430		266	29	8	209	77	-56	+5	+6	+50	+14	2.0
Career	—	MLE		—	3066	2698	602	119	26	31	303	941	30	141	48	223	308	321	629	98	327	31	10	283	77	-2	+0	+0	+2	+1	0.1
/ 162G	—	MLE		—	650	572	128	25	6	7	64	199	6	30	10	224	308	325	633	101	327	31	10	283	77	-56	+5	+6	+50	+14	2.0

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 AAASacramento River Cats · 60 PAwOBA .300 → .218 (−82)K% 35.0% → 46.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.00%	÷0.971	×1.290	—	—	46.48%
BB% (unintentional) /PA	11.67%	÷0.980	×0.710	—	×1.003	8.48%
HBP% /PA	0.00%	—	×0.980	—	×1.003	0.00%
Singles /BIP	21.88%	÷0.982	×0.900	—	×1.003	20.10%
Doubles /BIP	12.50%	÷0.981	×0.810	—	×1.003	10.35%
Triples /BIP	0.00%	÷1.008	×0.810	—	×1.003	0.00%
Home runs /BIP	3.12%	÷1.027	×0.780	—	×1.003	2.38%

Factors used: league row PCL. Park (home-season share, regressed): HR 105, 1B 96, 2B 96, 3B 102, K 94, BB 96 — 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 .300 → .218; ISO .132 → .089; BABIP .355 → .312. 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).

2018 AAAGwinnett Stripers · 229 PAwOBA .430 → .362 (−67)K% 24.0% → 30.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.02%	÷0.952	×1.200	—	—	30.28%
BB% (unintentional) /PA	13.10%	÷0.947	×0.690	—	×1.018	9.72%
HBP% /PA	1.31%	—	×0.940	—	×1.018	1.25%
Singles /BIP	36.23%	÷1.010	×0.930	×0.977	×1.018	33.19%
Doubles /BIP	9.42%	÷0.995	×0.830	×0.977	×1.018	7.81%
Triples /BIP	0.00%	÷1.116	×0.970	×0.977	×1.018	0.00%
Home runs /BIP	5.07%	÷0.970	×0.840	—	×1.018	4.47%

Factors used: league row IL. Park (home-season share, regressed): HR 94, 1B 102, 2B 99, 3B 123, K 90, BB 89 — 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 ×0.977.

Result: wOBA .430 → .362; ISO .176 → .148; BABIP .477 → .426. 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).

2018 AAMississippi Braves · 175 PAwOBA .410 → .339 (−71)K% 24.6% → 30.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.57%	÷0.985	×1.220	—	—	30.43%
BB% (unintentional) /PA	16.57%	÷1.037	×0.680	—	×0.988	10.73%
HBP% /PA	2.29%	—	×0.840	—	×0.988	1.90%
Singles /BIP	27.84%	÷0.993	×0.920	×0.969	×0.988	24.69%
Doubles /BIP	13.40%	÷1.013	×0.910	×0.969	×0.988	11.52%
Triples /BIP	0.00%	÷1.110	×0.880	×0.969	×0.988	0.00%
Home runs /BIP	4.12%	÷0.897	×0.800	—	×0.988	3.64%

Factors used: league row SL. Park (home-season share, regressed): HR 79, 1B 99, 2B 103, 3B 122, K 97, BB 107 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.969.

Result: wOBA .410 → .339; ISO .179 → .160; BABIP .426 → .372. 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 AABiloxi Shuckers · 205 PAwOBA .317 → .235 (−82)K% 28.8% → 36.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.78%	÷0.959	×1.220	—	—	36.62%
BB% (unintentional) /PA	17.07%	÷1.035	×0.680	—	×0.998	11.20%
HBP% /PA	0.49%	—	×0.840	—	×0.998	0.41%
Singles /BIP	22.94%	÷0.986	×0.920	×1.011	×0.998	21.57%
Doubles /BIP	2.75%	÷0.946	×0.910	×1.011	×0.998	2.67%
Triples /BIP	0.00%	÷0.915	×0.880	×1.011	×0.998	0.00%
Home runs /BIP	6.42%	÷1.393	×0.800	—	×0.998	3.68%

Factors used: league row SL. Park (home-season share, regressed): HR 179, 1B 97, 2B 89, 3B 83, K 92, BB 107 — 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 ×1.011.

Result: wOBA .317 → .235; ISO .143 → .087; BABIP .272 → .249. 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 AAAColorado Springs Sky Sox · 492 PAwOBA .329 → .258 (−71)K% 25.2% → 33.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.20%	÷0.964	×1.290	—	—	33.73%
BB% (unintentional) /PA	14.84%	÷1.052	×0.710	—	×1.048	10.50%
HBP% /PA	0.81%	—	×0.980	—	×1.048	0.83%
Singles /BIP	25.09%	÷1.046	×0.900	×1.030	×1.048	23.29%
Doubles /BIP	6.97%	÷1.196	×0.810	×1.030	×1.048	5.09%
Triples /BIP	0.70%	÷1.150	×0.810	×1.030	×1.048	0.53%
Home runs /BIP	2.79%	÷0.973	×0.780	—	×1.048	2.34%

Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 109, 2B 139, 3B 130, K 93, BB 110 — 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 ×1.030.

Result: wOBA .329 → .258; ISO .117 → .087; BABIP .333 → .293. 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 AABiloxi Shuckers · 377 PAwOBA .356 → .311 (−45)K% 21.2% → 26.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.22%	÷0.973	×1.220	—	—	26.61%
BB% (unintentional) /PA	13.79%	÷1.018	×0.680	—	×1.027	9.47%
HBP% /PA	0.80%	—	×0.840	—	×1.027	0.69%
Singles /BIP	24.46%	÷1.030	×0.920	×0.999	×1.027	22.41%
Doubles /BIP	8.58%	÷0.943	×0.910	×0.999	×1.027	8.50%
Triples /BIP	2.15%	÷0.900	×0.880	×0.999	×1.027	2.15%
Home runs /BIP	2.15%	÷1.084	×0.800	—	×1.027	1.63%

Factors used: league row SL. Park (home-season share, regressed): HR 117, 1B 106, 2B 89, 3B 80, K 95, BB 104 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .356 → .311; ISO .144 → .135; BABIP .347 → .325. 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 AAAColorado Springs Sky Sox · 148 PAwOBA .326 → .256 (−70)K% 20.9% → 27.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.95%	÷0.979	×1.290	—	—	27.60%
BB% (unintentional) /PA	13.51%	÷1.015	×0.710	—	×1.050	9.92%
HBP% /PA	0.68%	—	×0.980	—	×1.050	0.70%
Singles /BIP	16.84%	÷1.044	×0.900	×1.050	×1.050	16.01%
Doubles /BIP	13.68%	÷1.214	×0.810	×1.050	×1.050	10.07%
Triples /BIP	2.11%	÷1.150	×0.810	×1.050	×1.050	1.63%
Home runs /BIP	0.00%	÷0.886	×0.780	—	×1.050	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 77, 1B 109, 2B 143, 3B 130, K 96, BB 103 — 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 ×1.050.

Result: wOBA .326 → .256; ISO .135 → .097; BABIP .323 → .274. 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 A+Brevard County Manatees · 457 PAwOBA .349 → .301 (−48)K% 17.3% → 25.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.29%	÷0.947	×1.420	—	—	25.93%
BB% (unintentional) /PA	17.07%	÷1.029	×0.750	—	×1.012	12.59%
HBP% /PA	1.97%	—	×0.930	—	×1.012	1.85%
Singles /BIP	22.03%	÷1.024	×0.920	×1.034	×1.012	20.72%
Doubles /BIP	6.99%	÷0.937	×0.960	×1.034	×1.012	7.50%
Triples /BIP	1.75%	÷0.900	×0.810	×1.034	×1.012	1.65%
Home runs /BIP	1.75%	÷0.954	×0.880	—	×1.012	1.63%

Factors used: league row FSL. Park (home-season share, regressed): HR 91, 1B 105, 2B 87, 3B 80, K 89, BB 106 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.034.

Result: wOBA .349 → .301; ISO .123 → .117; BABIP .310 → .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).

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