Johnny Davis

PosCF

B/TS/R

Born1990-04-26

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2020

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2018	28	AAA/INTL2 orgs	37	.257/.297/.371	0	2	70	—	.059/.111/.059
2019	29	AAAGuerreros de …	477	.300/.357/.392	4	54	61	—	.243/.286/.310
2020	30	INTLTomateros de …	18	.176/.222/.235	0	3	29	—

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)
2013	23	ROK	AZL Brewers	—	112	102	30	5	1	0	8	21	1	17	5	294	351	363	714	69	370	19	7	322	41	—	—	—	—	—	—
2014	24	A	Wisconsin Timber Rattlers	—	483	430	111	3	4	0	35	116	3	32	21	258	318	284	602	26	351	24	7	271	35	—	—	—	—	—	—
2015	25	A+	Brevard County Manatees	—	40	37	8	2	0	0	2	15	0	4	2	216	256	270	527	54	364	38	5	235	-5	—	—	—	—	—	—
2016	26	AA	Biloxi Shuckers	—	238	218	57	4	4	1	14	63	2	16	5	261	312	330	642	69	364	26	6	287	55	—	—	—	—	—	—
2016	26	A+	Brevard County Manatees	—	254	217	64	6	2	0	31	50	3	16	10	295	390	341	731	46	383	20	12	336	73	—	—	—	—	—	—
2017	27	AA	Biloxi Shuckers	—	553	505	133	12	6	5	36	119	3	52	12	263	316	341	657	77	335	22	7	294	54	—	—	—	—	—	—
2017	27	INTL	Bravos de Margarita	—	54	49	11	2	0	0	4	10	1	4	2	224	296	265	562	41	282	19	7	264	65	—	—	—	—	—	—
2018	28	AAA	Colorado Springs Sky Sox	—	18	17	2	0	0	0	1	8	0	2	0	118	167	118	284		222	44	6	139	-56	—	—	—	—	—	—
2018	28	INTL	Navegantes del Magallanes	—	19	18	7	2	1	0	1	2	0	0	2	389	421	611	1.032	222	438	11	5	447	189	—	—	—	—	—	—
2019	29	AAA	Guerreros de Oaxaca	—	477	424	127	15	6	4	33	95	5	54	13	300	357	392	749	92	373	20	7	328	61	—	—	—	—	—	—
2020	30	INTL	Tomateros de Culiacan	—	18	17	3	1	0	0	1	2	0	3	0	176	222	235	458	59	200	11	6	211	29	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	23	ROK MLE	AZL Brewers	—	112	105	23	3	1	0	5	30	1	17	5	219	261	267	528	48	300	27	4	229	41	—	—	—	—	—	—
2014	24	A MLE	Wisconsin Timber Rattlers	—	483	442	97	2	3	0	23	159	3	32	21	219	263	238	500	18	324	33	5	220	35	—	—	—	—	—	—
2015	25	A+ MLE	Brevard County Manatees	—	40	38	6	2	0	0	1	22	0	4	2	158	179	211	390	53	326	55	2	161	-5	—	—	—	—	—	—
2016	26	AA MLE	Biloxi Shuckers	—	238	224	55	4	4	1	8	77	2	16	5	246	278	312	590	67	356	32	3	249	55	—	—	—	—	—	—
2016	26	A+ MLE	Brevard County Manatees	—	254	226	58	6	2	0	22	70	3	16	10	257	331	301	632	44	355	28	9	276	73	—	—	—	—	—	—
2017	27	AA MLE	Biloxi Shuckers	—	553	518	124	12	6	3	23	152	3	52	12	239	276	303	579	64	321	27	4	248	54	—	—	—	—	—	—
2018	28	AAA MLE	Colorado Springs Sky Sox	—	18	17	1	0	0	0	1	11	0	2	0	59	111	59	170		196	61	6	86	-56	—	—	—	—	—	—
2019	29	AAA MLE	Guerreros de Oaxaca	—	477	436	106	10	5	3	21	114	5	54	13	243	286	310	595	67	305	24	4	258	61	—	—	—	—	—	—
2013	23	ROK MLE	AZL Brewers	—	112	105	23	3	1	0	5	30	1	17	5	219	261	267	528	48	307	27	4	229	41	—	—	—	—	—	—
2013	23	ROK RAW	AZL Brewers	—	112	102	30	5	1	0	8	21	1	17	5	294	351	363	714	69	370	19	7	322	41	—	—	—	—	—	—
2014	24	A MLE	Wisconsin Timber Rattlers	—	483	442	97	2	3	0	23	159	3	32	21	219	263	238	500	18	340	33	5	220	35	—	—	—	—	—	—
2014	24	A RAW	Wisconsin Timber Rattlers	—	483	430	111	3	4	0	35	116	3	32	21	258	318	284	602	26	351	24	7	271	35	—	—	—	—	—	—
2015	25	A+ MLE	Brevard County Manatees	—	40	38	6	2	0	0	1	22	0	4	2	158	179	211	390	53	375	55	2	161	-5	—	—	—	—	—	—
2015	25	A+ RAW	Brevard County Manatees	—	40	37	8	2	0	0	2	15	0	4	2	216	256	270	527	54	364	38	5	235	-5	—	—	—	—	—	—
2016	26	A+ MLE	2 teams	—	492	450	111	9	6	1	30	146	5	32	15	247	301	300	601	53	363	30	6	263	64	—	—	—	—	—	—
2016	26	A+ RAW	2 teams	—	492	435	121	10	6	1	45	113	5	32	15	278	353	336	688	57	374	23	9	313	64	—	—	—	—	—	—
2017	27	AA MLE	2 teams	—	607	569	135	13	6	3	25	166	4	56	14	237	274	297	571	60	329	27	4	248	54	—	—	—	—	—	—
2017	27	AA RAW	2 teams	—	607	554	144	14	6	5	40	129	4	56	14	260	314	334	648	74	330	21	7	291	54	—	—	—	—	—	—
2018	28	INTL MLE	2 teams	—	37	36	2	0	0	0	1	23	0	2	2	56	81	56	137		154	62	3	86	-56	—	—	—	—	—	—
2018	28	INTL RAW	2 teams	—	37	35	9	2	1	0	2	10	0	2	2	257	297	371	669	114	360	27	5	298	-56	—	—	—	—	—	—
2019	29	AAA MLE	Guerreros de Oaxaca	—	477	436	106	10	5	3	21	114	5	54	13	243	286	310	595	67	318	24	4	258	61	—	—	—	—	—	—
2019	29	AAA RAW	Guerreros de Oaxaca	—	477	424	127	15	6	4	33	95	5	54	13	300	357	392	749	92	373	20	7	328	61	—	—	—	—	—	—
2020	30	INTL MLE	Tomateros de Culiacan	—	18	17	3	1	0	0	1	2	0	3	0	176	222	235	458	59	200	11	6	—	—	—	—	—	—	—	—
2020	30	INTL RAW	Tomateros de Culiacan	—	18	17	3	1	0	0	1	2	0	3	0	176	222	235	458	59	200	11	6	211	29	—	—	—	—	—	—
2013	23	ROK MLE	AZL Brewers	—	112	105	23	3	1	0	5	30	1	17	5	219	261	267	528	48	300	27	4	229	41	—	—	—	—	—	—
2014	24	A MLE	Wisconsin Timber Rattlers	—	483	454	97	2	3	0	23	159	3	32	21	214	263	231	494	18	324	33	5	220	35	—	—	—	—	—	—
2015	25	A+ MLE	Brevard County Manatees	—	40	39	6	2	0	0	1	22	0	4	2	154	179	205	385	51	326	55	2	161	-5	—	—	—	—	—	—
2016	26	A+ MLE	2 teams	—	492	454	111	9	6	1	30	146	5	32	15	244	301	297	598	53	355	30	6	263	64	—	—	—	—	—	—
2017	27	AA MLE	2 teams	—	607	573	135	13	6	3	25	166	4	56	14	236	274	295	569	59	321	27	4	248	54	—	—	—	—	—	—
2018	28	INTL MLE	2 teams	—	37	36	2	0	0	0	1	23	0	2	2	56	81	56	137		196	62	3	86	-56	—	—	—	—	—	—
2019	29	AAA MLE	Guerreros de Oaxaca	—	477	448	106	10	5	3	21	114	5	54	13	237	286	301	587	65	305	24	4	258	61	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2266	2093	483	40	21	7	107	662	18	200	72	231	274	280	554	49	332	29	5	240	49	-138	+11	-0	+8	+49	-7.1
/ 162G	—	MLE		—	650	600	138	11	6	2	31	190	5	57	21	230	273	278	551	48	332	29	5	240	49	-40	+3	-0	+2	+14	-2.1

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.

2019 AAAGuerreros de Oaxaca · 477 PAwOBA .322 → .258 (−64)K% 19.9% → 24.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.92%	÷0.998	×1.200	—	—	23.95%
BB% (unintentional) /PA	6.71%	÷1.036	×0.690	—	×0.982	4.39%
HBP% /PA	1.05%	—	×0.940	—	×0.982	0.97%
Singles /BIP	31.00%	÷1.025	×0.930	×0.950	×0.982	26.24%
Doubles /BIP	4.56%	÷1.200	×0.830	×0.950	×0.982	2.94%
Triples /BIP	1.82%	÷1.058	×0.920	×0.950	×0.982	1.48%
Home runs /BIP	1.22%	÷0.972	×0.700	—	×0.982	0.86%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 105, 2B 140, 3B 112, K 100, BB 107 — 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 ×0.950.

Result: wOBA .322 → .258; ISO .092 → .067; BABIP .373 → .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).

2018 AAAColorado Springs Sky Sox · 18 PAwOBA .136 → .086 (−50)K% 44.4% → 62.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	44.44%	÷0.925	×1.290	—	—	61.96%
BB% (unintentional) /PA	5.56%	÷0.985	×0.710	—	×0.992	3.97%
HBP% /PA	0.00%	—	×0.980	—	×0.992	0.00%
Singles /BIP	22.22%	÷1.014	×0.900	—	×0.992	19.56%
Doubles /BIP	0.00%	÷1.014	×0.810	—	×0.992	0.00%
Triples /BIP	0.00%	÷1.150	×0.810	—	×0.992	0.00%
Home runs /BIP	0.00%	÷1.124	×0.780	—	×0.992	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 125, 1B 103, 2B 103, 3B 130, K 85, 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).

Result: wOBA .136 → .086; ISO .000 → .000; BABIP .222 → .196. 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 · 553 PAwOBA .286 → .248 (−38)K% 21.5% → 27.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.52%	÷0.959	×1.220	—	—	27.38%
BB% (unintentional) /PA	6.33%	÷1.035	×0.680	—	×0.978	4.07%
HBP% /PA	0.54%	—	×0.840	—	×0.978	0.45%
Singles /BIP	28.50%	÷0.986	×0.920	×1.050	×0.978	27.29%
Doubles /BIP	3.11%	÷0.946	×0.910	×1.050	×0.978	3.07%
Triples /BIP	1.55%	÷0.915	×0.880	×1.050	×0.978	1.54%
Home runs /BIP	1.30%	÷1.393	×0.800	—	×0.978	0.73%

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 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .286 → .248; ISO .077 → .062; BABIP .335 → .321. 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 A+Brevard County Manatees · 254 PAwOBA .329 → .276 (−52)K% 19.7% → 27.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.69%	÷1.021	×1.420	—	—	27.38%
BB% (unintentional) /PA	12.20%	÷1.036	×0.750	—	×0.968	8.55%
HBP% /PA	1.18%	—	×0.930	—	×0.968	1.06%
Singles /BIP	33.53%	÷1.014	×0.920	×1.050	×0.968	30.93%
Doubles /BIP	3.59%	÷1.001	×0.960	×1.050	×0.968	3.50%
Triples /BIP	1.20%	÷0.900	×0.810	×1.050	×0.968	1.10%
Home runs /BIP	0.00%	÷1.093	×0.880	—	×0.968	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 119, 1B 103, 2B 100, 3B 80, K 104, BB 107 — applied at half strength. Age: age 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .329 → .276; ISO .046 → .042; BABIP .383 → .355. 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 AABiloxi Shuckers · 238 PAwOBA .280 → .249 (−30)K% 26.5% → 32.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.47%	÷0.999	×1.220	—	—	32.33%
BB% (unintentional) /PA	5.88%	÷1.152	×0.680	—	×0.988	3.43%
HBP% /PA	0.84%	—	×0.840	—	×0.988	0.70%
Singles /BIP	30.97%	÷0.973	×0.920	×1.050	×0.988	30.38%
Doubles /BIP	2.58%	÷0.955	×0.910	×1.050	×0.988	2.55%
Triples /BIP	2.58%	÷0.922	×0.880	×1.050	×0.988	2.55%
Home runs /BIP	0.65%	÷1.243	×0.800	—	×0.988	0.41%

Factors used: league row SL. Park (home-season share, regressed): HR 149, 1B 95, 2B 91, 3B 84, K 100, BB 130 — 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 ×1.050.

Result: wOBA .280 → .249; ISO .069 → .062; BABIP .364 → .356. 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 A+Brevard County Manatees · 40 PAwOBA .229 → .161 (−67)K% 37.5% → 54.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	37.50%	÷0.986	×1.420	—	—	54.02%
BB% (unintentional) /PA	5.00%	÷0.987	×0.750	—	×0.978	3.71%
HBP% /PA	0.00%	—	×0.930	—	×0.978	0.00%
Singles /BIP	27.27%	÷1.057	×0.920	—	×0.978	23.23%
Doubles /BIP	9.09%	÷0.911	×0.960	—	×0.978	9.37%
Triples /BIP	0.00%	÷0.900	×0.810	—	×0.978	0.00%
Home runs /BIP	0.00%	÷0.887	×0.880	—	×0.978	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 77, 1B 111, 2B 82, 3B 80, K 97, BB 97 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).

Result: wOBA .229 → .161; ISO .054 → .043; BABIP .364 → .326. 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 AWisconsin Timber Rattlers · 483 PAwOBA .266 → .220 (−46)K% 24.0% → 33.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.02%	÷0.989	×1.360	—	—	33.04%
BB% (unintentional) /PA	7.25%	÷1.049	×0.690	—	×0.980	4.67%
HBP% /PA	0.62%	—	×0.780	—	×0.980	0.47%
Singles /BIP	33.12%	÷1.019	×0.920	×1.050	×0.980	30.76%
Doubles /BIP	0.96%	÷0.996	×0.830	×1.050	×0.980	0.82%
Triples /BIP	1.27%	÷1.150	×0.910	×1.050	×0.980	1.04%
Home runs /BIP	0.00%	÷1.025	×0.800	—	×0.980	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 105, 1B 104, 2B 99, 3B 130, K 98, BB 110 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .266 → .220; ISO .026 → .020; BABIP .351 → .324. 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 ROKAZL Brewers · 112 PAwOBA .314 → .229 (−85)K% 18.8% → 27.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.75%	÷1.000	×1.440	—	—	27.00%
BB% (unintentional) /PA	7.14%	÷1.000	×0.620	—	×0.965	4.27%
HBP% /PA	0.89%	—	×0.720	—	×0.965	0.62%
Singles /BIP	29.63%	÷1.000	×0.820	×1.050	×0.965	24.62%
Doubles /BIP	6.17%	÷1.000	×0.720	×1.050	×0.965	4.50%
Triples /BIP	1.23%	÷1.000	×0.720	×1.050	×0.965	0.90%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.965	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 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .314 → .229; ISO .069 → .047; BABIP .370 → .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 — .