Micah Johnson

Pos2B

B/TL/R

Born1990-12-18

Age (2027)36

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	25	AAAOklahoma City…	516	.261/.321/.356	5	26	55	—	.226/.270/.301
2017	26	AAAGwinnett Brav…	155	.289/.377/.400	1	6	89	—	.255/.318/.355
2018	27	AAATB	254	.198/.249/.345	5	3	28	—	.164/.201/.282

Contract

No contract data on file.

Scouting grades · 20-80

Power34Speed71Eye55

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)
2012	21	ROK	Great Falls Voyagers	—	318	271	74	10	5	4	43	74	1	19	6	273	375	391	766	118	363	23	14	345	48	—	—	—	—	—	—
2013	22	AA	Birmingham Barons	—	22	21	5	0	0	0	0	4	0	1	0	238	238	238	476		278	18	0	206	19	—	—	—	—	—	—
2013	22	A+	Winston-Salem Dash	—	228	211	58	7	4	1	10	27	1	22	7	275	311	360	671	85	310	12	4	293	53	—	—	—	—	—	—
2013	22	A	Kannapolis Intimidators	—	351	304	104	17	11	6	40	67	3	61	19	342	424	530	953	187	422	19	11	415	125	—	—	—	—	—	—
2013	22	INTL	Glendale Desert Dogs	—	29	25	8	3	1	0	3	5	0	3	1	320	393	520	913	200	381	17	10	386	147	—	—	—	—	—	—
2014	23	AAA	Charlotte Knights	—	302	273	75	10	5	2	16	42	1	12	6	275	317	370	687	95	315	14	5	296	88	—	—	—	—	—	—
2014	23	AA	Birmingham Barons	—	170	146	48	9	1	3	21	27	1	10	7	329	417	466	882	137	385	16	12	391	122	—	—	—	—	—	—
2015	24	MLB	Chicago White Sox	—	114	100	23	4	0	0	9	30	2	3	2	230	304	270	574	40	329	26	8	264	64	-5	-0	-2	+2	+2	-0.3
2015	24	AAA	Charlotte Knights	—	353	311	98	17	3	8	32	63	0	28	7	315	377	466	843	151	369	18	9	365	110	—	—	—	—	—	—
2015	24	ROK	ACL White Sox	—	17	15	5	2	0	0	2	2	0	0	0	333	412	467	878	133	385	12	12	393	67	—	—	—	—	—	—
2016	25	AAA	Oklahoma City Dodgers	—	516	464	121	23	3	5	41	105	1	26	11	261	321	356	677	95	327	20	8	301	55	—	—	—	—	—	—
2017	26	AAA	Gwinnett Braves	—	155	135	39	6	3	1	18	38	1	6	4	289	377	400	777	111	396	25	12	349	89	—	—	—	—	—	—
2018	27	AAA	Durham Bulls	—	254	232	46	13	3	5	15	74	1	3	4	198	249	345	594	147	268	29	6	259	28	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	114	100	23	4	0	0	9	30	2	3	2	230	304	270	574	40	329	26	8	264	65	-5	-0	-2	+2	+2	-0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	21	ROK MLE	Great Falls Voyagers	—	318	289	57	7	3	3	25	107	1	19	6	197	263	273	537	76	295	34	8	239	48	—	—	—	—	—	—
2013	22	AA MLE	Birmingham Barons	—	22	21	5	0	0	0	0	5	0	1	0	238	238	238	476		265	23	0	197	19	—	—	—	—	—	—
2013	22	A+ MLE	Winston-Salem Dash	—	228	215	53	6	3	1	6	39	1	22	7	247	270	316	587	70	283	17	3	247	53	—	—	—	—	—	—
2013	22	A MLE	Kannapolis Intimidators	—	351	317	98	15	11	5	27	88	3	61	19	309	369	473	842	164	398	25	8	353	125	—	—	—	—	—	—
2014	23	AAA MLE	Charlotte Knights	—	302	278	81	10	6	2	11	52	1	12	6	291	321	392	713	101	330	17	4	298	88	—	—	—	—	—	—
2014	23	AA MLE	Birmingham Barons	—	170	153	48	10	1	3	14	35	1	10	7	314	375	451	826	137	375	21	8	348	122	—	—	—	—	—	—
2015	24	MLB MLE	Chicago White Sox	—	114	101	23	4	0	0	9	30	2	3	2	228	304	267	571	40	329	26	8	263	64	-5	-0	-2	+2	+2	-0.3
2015	24	AAA MLE	Charlotte Knights	—	353	322	98	16	3	5	23	78	0	28	7	304	351	419	770	115	368	22	7	331	110	—	—	—	—	—	—
2015	24	ROK MLE	ACL White Sox	—	17	16	3	1	0	0	1	3	0	0	0	188	235	250	485	62	283	18	6	267	67	—	—	—	—	—	—
2016	25	AAA MLE	Oklahoma City Dodgers	—	516	478	108	20	2	4	28	139	1	26	11	226	270	301	571	75	303	27	5	250	55	—	—	—	—	—	—
2017	26	AAA MLE	Gwinnett Braves	—	155	141	36	5	3	1	12	46	1	6	4	255	318	355	673	99	378	30	8	300	89	—	—	—	—	—	—
2018	27	AAA MLE	Durham Bulls	—	254	238	39	10	3	4	10	86	1	3	4	164	201	282	482	118	233	34	4	210	28	—	—	—	—	—	—
2012	21	ROK MLE	Great Falls Voyagers	—	318	289	57	7	3	3	25	107	1	19	6	197	263	273	537	76	302	34	8	239	48	—	—	—	—	—	—
2012	21	ROK RAW	Great Falls Voyagers	—	318	271	74	10	5	4	43	74	1	19	6	273	375	391	766	118	363	23	14	345	48	—	—	—	—	—	—
2013	22	A MLE	4 teams	—	630	579	161	21	14	6	35	138	4	87	27	278	324	394	717	116	353	22	6	307	94	—	—	—	—	—	—
2013	22	A RAW	4 teams	—	630	561	175	27	16	7	53	103	4	87	27	312	375	455	830	143	369	16	8	362	94	—	—	—	—	—	—
2014	23	AAA MLE	2 teams	—	472	431	127	19	7	4	25	86	2	22	13	295	336	399	735	104	357	18	5	316	100	—	—	—	—	—	—
2014	23	AAA RAW	2 teams	—	472	419	123	19	6	5	37	69	2	22	13	294	354	403	757	110	338	15	8	330	100	—	—	—	—	—	—
2015	24	AAA MLE	3 teams	—	484	439	124	21	3	5	33	111	2	31	9	282	335	378	714	96	364	23	7	313	98	—	—	—	—	—	—
2015	24	AAA RAW	3 teams	—	484	426	126	23	3	8	43	95	2	31	9	296	361	420	781	124	361	20	9	342	98	—	—	—	—	—	—
2016	25	AAA MLE	Oklahoma City Dodgers	—	516	478	108	20	2	4	28	139	1	26	11	226	270	301	571	75	310	27	5	250	55	—	—	—	—	—	—
2016	25	AAA RAW	Oklahoma City Dodgers	—	516	464	121	23	3	5	41	105	1	26	11	261	321	356	677	95	327	20	8	301	55	—	—	—	—	—	—
2017	26	AAA MLE	Gwinnett Braves	—	155	141	36	5	3	1	12	46	1	6	4	255	318	355	673	99	372	30	8	300	89	—	—	—	—	—	—
2017	26	AAA RAW	Gwinnett Braves	—	155	135	39	6	3	1	18	38	1	6	4	289	377	400	777	111	396	25	12	349	89	—	—	—	—	—	—
2018	27	AAA MLE	Durham Bulls	—	254	238	39	10	3	4	10	86	1	3	4	164	201	282	482	118	236	34	4	210	28	—	—	—	—	—	—
2018	27	AAA RAW	Durham Bulls	—	254	232	46	13	3	5	15	74	1	3	4	198	249	345	594	147	268	29	6	259	28	—	—	—	—	—	—
2012	21	ROK MLE	Great Falls Voyagers	—	318	289	57	7	3	3	25	107	1	19	6	197	263	273	537	76	295	34	8	239	48	—	—	—	—	—	—
2013	22	A MLE	4 teams	—	630	586	161	21	14	6	35	138	4	87	27	275	324	389	713	114	350	22	6	307	94	—	—	—	—	—	—
2014	23	AAA MLE	2 teams	—	472	442	127	19	7	4	25	86	2	22	13	287	336	389	725	102	346	18	5	316	100	—	—	—	—	—	—
2015	24	AAA MLE	3 teams	—	484	446	124	21	3	5	33	111	2	31	9	278	335	372	708	94	356	23	7	313	98	—	—	—	—	—	—
2016	25	AAA MLE	Oklahoma City Dodgers	—	516	482	108	20	2	4	28	139	1	26	11	224	270	299	569	75	303	27	5	250	55	—	—	—	—	—	—
2017	26	AAA MLE	Gwinnett Braves	—	155	141	36	5	3	1	12	46	1	6	4	255	318	355	673	99	378	30	8	300	89	—	—	—	—	—	—
2018	27	AAA MLE	Durham Bulls	—	254	241	39	10	3	4	10	86	1	3	4	162	201	278	479	116	233	34	4	210	28	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	114	100	23	4	0	0	9	30	2	3	2	230	304	270	574	40	329	26	8	264	77	-5	-0	-2	+2	+2	-0.3
/ 162G	—	A+C		—	650	570	131	23	0	0	51	171	11	17	11	230	302	270	572	40	328	26	8	264	77	-27	-1	-10	+10	+14	-1.5
Career	—	MLE		—	2829	2595	652	103	35	27	168	713	12	194	74	251	300	349	649	98	335	25	6	282	77	-5	-0	-2	+2	+2	-0.3
/ 162G	—	MLE		—	650	596	150	24	8	6	39	164	3	45	17	252	301	349	650	97	336	25	6	282	77	-27	-1	-10	+10	+14	-1.5

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.

2018 AAADurham Bulls · 254 PAwOBA .252 → .210 (−42)K% 29.1% → 33.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.13%	÷1.032	×1.200	—	—	33.87%
BB% (unintentional) /PA	5.91%	÷0.986	×0.690	—	×0.992	4.10%
HBP% /PA	0.39%	—	×0.940	—	×0.992	0.37%
Singles /BIP	15.82%	÷1.052	×0.930	×1.035	×0.992	14.36%
Doubles /BIP	8.23%	÷1.091	×0.830	×1.035	×0.992	6.43%
Triples /BIP	1.90%	÷0.993	×0.970	×1.035	×0.992	1.90%
Home runs /BIP	3.16%	÷0.970	×0.840	—	×0.992	2.72%

Factors used: league row IL. Park (home-season share, regressed): HR 94, 1B 110, 2B 118, 3B 99, K 106, BB 97 — 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 ×1.035.

Result: wOBA .252 → .210; ISO .147 → .124; BABIP .268 → .233. 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 AAAGwinnett Braves · 155 PAwOBA .341 → .300 (−41)K% 24.5% → 29.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.52%	÷0.989	×1.200	—	—	29.75%
BB% (unintentional) /PA	11.61%	÷0.999	×0.690	—	×1.003	8.04%
HBP% /PA	0.65%	—	×0.940	—	×1.003	0.61%
Singles /BIP	29.90%	÷1.005	×0.930	×1.033	×1.003	28.66%
Doubles /BIP	6.19%	÷0.936	×0.830	×1.033	×1.003	5.68%
Triples /BIP	3.09%	÷1.005	×0.970	×1.033	×1.003	3.09%
Home runs /BIP	1.03%	÷0.972	×0.840	—	×1.003	0.89%

Factors used: league row IL. Park (home-season share, regressed): HR 94, 1B 101, 2B 87, 3B 101, K 98, BB 100 — 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 ×1.033.

Result: wOBA .341 → .300; ISO .111 → .103; BABIP .396 → .378. 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 AAAOklahoma City Dodgers · 516 PAwOBA .294 → .250 (−44)K% 20.3% → 27.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.35%	÷0.972	×1.290	—	—	26.99%
BB% (unintentional) /PA	7.95%	÷1.059	×0.710	—	×1.018	5.43%
HBP% /PA	0.19%	—	×0.980	—	×1.018	0.19%
Singles /BIP	25.07%	÷1.017	×0.900	×1.050	×1.018	23.72%
Doubles /BIP	6.41%	÷0.975	×0.810	×1.050	×1.018	5.69%
Triples /BIP	0.84%	÷1.104	×0.810	×1.050	×1.018	0.66%
Home runs /BIP	1.39%	÷0.947	×0.780	—	×1.018	1.17%

Factors used: league row PCL. Park (home-season share, regressed): HR 89, 1B 103, 2B 95, 3B 121, K 94, BB 112 — 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 ×1.050.

Result: wOBA .294 → .250; ISO .095 → .079; BABIP .327 → .303. 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 AAACharlotte Knights · 353 PAwOBA .360 → .331 (−29)K% 17.8% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.85%	÷0.971	×1.200	—	—	22.06%
BB% (unintentional) /PA	9.07%	÷1.017	×0.690	—	×1.033	6.36%
HBP% /PA	0.00%	—	×0.940	—	×1.033	0.00%
Singles /BIP	28.23%	÷0.973	×0.930	×1.050	×1.033	29.27%
Doubles /BIP	6.85%	÷0.993	×0.830	×1.050	×1.033	6.22%
Triples /BIP	1.21%	÷1.150	×0.970	×1.050	×1.033	1.11%
Home runs /BIP	3.23%	÷1.306	×0.840	—	×1.033	2.14%

Factors used: league row IL. Park (home-season share, regressed): HR 161, 1B 95, 2B 99, 3B 130, K 94, BB 103 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .360 → .331; ISO .151 → .121; BABIP .369 → .368. 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 ROKACL White Sox · 17 PAwOBA .383 → .267 (−116)K% 11.8% → 16.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.76%	÷1.000	×1.440	—	—	16.94%
BB% (unintentional) /PA	11.76%	÷1.000	×0.620	—	×0.945	6.89%
HBP% /PA	0.00%	—	×0.720	—	×0.945	0.00%
Singles /BIP	23.08%	÷1.000	×0.820	—	×0.945	17.88%
Doubles /BIP	15.38%	÷1.000	×0.720	—	×0.945	10.47%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.945	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.945	0.00%

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 25 vs a level average of 19.5 → −5.5% on BB/HBP/hit rates (5.5 yr older than average).

Result: wOBA .383 → .267; ISO .133 → .090; BABIP .385 → .283. 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 AAACharlotte Knights · 302 PAwOBA .291 → .298 (+6)K% 13.9% → 17.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.91%	÷0.975	×1.200	—	—	17.11%
BB% (unintentional) /PA	5.30%	÷1.012	×0.690	—	×1.048	3.79%
HBP% /PA	0.33%	—	×0.940	—	×1.048	0.33%
Singles /BIP	25.11%	÷0.966	×0.930	×1.050	×1.048	26.61%
Doubles /BIP	4.33%	÷0.977	×0.830	×1.050	×1.048	4.05%
Triples /BIP	2.16%	÷0.910	×0.970	×1.050	×1.048	2.54%
Home runs /BIP	0.87%	÷1.118	×0.840	—	×1.048	0.68%

Factors used: league row IL. Park (home-season share, regressed): HR 124, 1B 93, 2B 95, 3B 82, K 95, BB 102 — 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 ×1.050.

Result: wOBA .291 → .298; ISO .095 → .097; BABIP .315 → .330. 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 AABirmingham Barons · 170 PAwOBA .383 → .348 (−36)K% 15.9% → 20.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.88%	÷0.955	×1.220	—	—	20.29%
BB% (unintentional) /PA	12.35%	÷1.057	×0.680	—	×1.012	8.04%
HBP% /PA	0.59%	—	×0.840	—	×1.012	0.50%
Singles /BIP	29.41%	÷1.021	×0.920	×1.050	×1.012	28.15%
Doubles /BIP	7.56%	÷0.903	×0.910	×1.050	×1.012	8.10%
Triples /BIP	0.84%	÷1.065	×0.880	×1.050	×1.012	0.74%
Home runs /BIP	2.52%	÷0.967	×0.800	—	×1.012	2.11%

Factors used: league row SL. Park (home-season share, regressed): HR 93, 1B 104, 2B 81, 3B 113, K 91, BB 111 — 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 ×1.050.

Result: wOBA .383 → .348; ISO .137 → .132; BABIP .385 → .375. 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 AKannapolis Intimidators · 351 PAwOBA .404 → .353 (−51)K% 19.1% → 25.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.09%	÷1.024	×1.340	—	—	24.98%
BB% (unintentional) /PA	10.83%	÷0.924	×0.660	—	×0.990	7.66%
HBP% /PA	0.85%	—	×0.770	—	×0.990	0.65%
Singles /BIP	29.54%	÷0.994	×0.920	×1.050	×0.990	28.43%
Doubles /BIP	7.17%	÷0.980	×0.820	×1.050	×0.990	6.24%
Triples /BIP	4.64%	÷1.004	×0.940	×1.050	×0.990	4.52%
Home runs /BIP	2.53%	÷1.053	×0.820	—	×0.990	1.95%

Factors used: league row SAL. Park (home-season share, regressed): HR 111, 1B 99, 2B 96, 3B 101, K 105, BB 85 — 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 ×1.050.

Result: wOBA .404 → .353; ISO .188 → .163; BABIP .422 → .398. 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).