Boog Powell

PosCF

B/TL/L

Born1993-01-14

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	AAAMIL	256	.333/.413/.477	6	11	130	—	.322/.381/.457
2017	24	MLBOakland Athle…	135	.282/.364/.402	3	0	118	0.7
2018	25	AAA/A+2 orgs	189	.223/.344/.242	0	6	52	—	.206/.296/.224
2018	25	MLBOakland Athle…	25	.167/.200/.292	0	1	32	-0.1
2019	26	AAA/INTL2 orgs	438	.278/.383/.419	8	14	70	—	.215/.296/.321
2020	27	No MLB games played
2021	28	No MLB games played
2022	29	No MLB games played
2023	30	No MLB games played
2024	31	No MLB games played
2025	32	No MLB games played
2026	33	No MLB games played

Last 3 seasons WAR 0.6

Contract

No contract data on file.

Skills · percentileStatcast 2017-2018

Speed71

xwOBA18

Avg EV17

Barrel%10

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	19	ROK	AZL Athletics	—	130	111	34	1	0	0	15	9	0	5	2	306	389	315	704	9	327	7	12	320	66	—	—	—	—	—	—
2014	21	A+	Stockton Ports	—	69	61	23	3	1	0	8	4	0	0	2	377	449	459	908	82	404	6	12	409	114	—	—	—	—	—	—
2014	21	A	Beloit Snappers	—	312	254	86	7	4	3	53	49	2	17	13	339	455	433	888	94	409	16	17	402	115	—	—	—	—	—	—
2014	21	INTL	Mesa Solar Sox	—	84	70	21	3	0	2	12	11	0	3	4	300	402	429	831	129	333	13	14	367	135	—	—	—	—	—	—
2015	22	AAA	Durham Bulls	—	246	206	53	10	3	2	32	41	2	7	6	257	362	364	727	107	309	17	13	325	86	—	—	—	—	—	—
2015	22	AA	Montgomery Biscuits	—	276	238	78	6	6	1	29	38	4	11	8	328	407	416	823	88	385	14	11	368	114	—	—	—	—	—	—
2016	23	AAA	Tacoma Rainiers	—	277	248	67	9	2	3	22	42	0	10	6	270	330	359	689	89	311	15	8	304	76	—	—	—	—	—	—
2016	23	INTL	Aguilas Cibaenas	—	129	110	27	1	1	0	16	16	1	6	2	245	346	273	619	27	284	12	12	290	82	—	—	—	—	—	—
2017	24	MLB	Oakland Athletics	—	135	117	33	5	0	3	15	30	0	0	1	282	364	402	765	120	349	22	11	339	118	+3	-0	+0	+1	+3	0.7
2017	24	AAA	Nashville Sounds	—	256	222	74	10	2	6	29	32	1	11	5	333	413	477	890	144	364	12	11	391	130	—	—	—	—	—	—
2018	25	MLB	Oakland Athletics	—	25	24	4	1	1	0	1	6	0	1	1	167	200	292	492	125	222	24	4	216	32	-2	-0	-0	+1	+1	-0.1
2018	25	AAA	Nashville Sounds	—	174	147	33	2	0	0	23	36	1	5	6	224	333	238	571	14	297	21	13	272	49	—	—	—	—	—	—
2018	25	A+	Stockton Ports	—	15	10	2	1	0	0	5	1	0	1	1	200	467	300	767	100	222	7	33	378	87	—	—	—	—	—	—
2019	26	AAA	El Paso Chihuahuas	—	403	340	98	25	1	8	59	94	0	14	0	288	393	438	832	150	373	23	15	371	73	—	—	—	—	—	—
2019	26	INTL	Estrellas Orientales	—	35	30	5	1	0	0	4	6	0	0	0	167	265	200	465	33	200	17	11	220	35	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	160	141	37	6	1	3	16	36	0	1	2	262	338	383	721	121	327	22	10	320	103	+0	-1	+0	+2	+3	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	19	ROK MLE	AZL Athletics	—	130	117	31	1	0	0	9	13	0	5	2	265	317	274	591	9	283	10	7	266	66	—	—	—	—	—	—
2014	21	A+ MLE	Stockton Ports	—	69	63	20	2	1	0	6	5	0	0	2	317	377	381	758	63	352	7	9	337	114	—	—	—	—	—	—
2014	21	A MLE	Beloit Snappers	—	312	271	81	6	4	2	37	68	2	17	13	299	387	373	760	74	387	22	12	338	115	—	—	—	—	—	—
2015	22	AAA MLE	Durham Bulls	—	246	218	55	9	4	2	20	48	2	7	6	252	321	358	679	106	303	20	8	295	86	—	—	—	—	—	—
2015	22	AA MLE	Montgomery Biscuits	—	276	248	78	6	5	1	21	47	4	11	8	315	377	391	768	77	378	17	8	337	114	—	—	—	—	—	—
2016	23	AAA MLE	Tacoma Rainiers	—	277	255	68	9	2	3	15	52	0	10	6	267	307	353	660	86	306	19	5	281	76	—	—	—	—	—	—
2017	24	MLB MLE	Oakland Athletics	—	135	117	33	5	0	3	15	30	0	0	1	282	364	402	765	120	349	22	11	343	118	+3	-0	+0	+1	+3	0.7
2017	24	AAA MLE	Nashville Sounds	—	256	230	74	9	2	6	21	41	1	11	5	322	381	457	837	135	357	16	8	360	130	—	—	—	—	—	—
2018	25	MLB MLE	Oakland Athletics	—	25	24	4	1	1	0	1	6	0	1	1	167	200	292	492	125	222	24	4	216	32	-2	-0	-0	+1	+1	-0.1
2018	25	AAA MLE	Nashville Sounds	—	174	153	32	2	0	0	17	44	1	5	6	209	292	222	515	13	289	25	10	240	49	—	—	—	—	—	—
2018	25	A+ MLE	Stockton Ports	—	15	12	2	1	0	0	3	1	0	1	1	167	333	250	583	83	197	7	20	297	87	—	—	—	—	—	—
2019	26	AAA MLE	El Paso Chihuahuas	—	403	358	77	18	1	6	41	126	0	14	0	215	296	321	617	106	304	31	10	276	73	—	—	—	—	—	—
2012	19	ROK MLE	AZL Athletics	—	130	117	31	1	0	0	9	13	0	5	2	265	317	274	591	9	292	10	7	266	66	—	—	—	—	—	—
2012	19	ROK RAW	AZL Athletics	—	130	111	34	1	0	0	15	9	0	5	2	306	389	315	704	9	327	7	12	320	66	—	—	—	—	—	—
2014	21	A MLE	3 teams	—	465	407	125	10	6	3	52	90	2	20	19	307	388	383	772	76	387	19	11	338	115	—	—	—	—	—	—
2014	21	A RAW	3 teams	—	465	385	130	13	5	5	73	64	2	20	19	338	445	436	881	99	394	14	16	397	115	—	—	—	—	—	—
2015	22	AA MLE	2 teams	—	522	466	134	16	9	3	41	95	6	18	14	288	353	380	733	92	353	18	8	317	101	—	—	—	—	—	—
2015	22	AA RAW	2 teams	—	522	444	131	16	9	3	61	79	6	18	14	295	386	392	778	97	351	15	12	348	101	—	—	—	—	—	—
2016	23	AAA MLE	2 teams	—	406	374	98	13	2	4	22	76	1	16	8	262	305	340	644	78	315	19	5	281	76	—	—	—	—	—	—
2016	23	AAA RAW	2 teams	—	406	358	94	10	3	3	38	58	1	16	8	263	335	332	667	70	302	14	9	300	76	—	—	—	—	—	—
2017	24	AAA MLE	2 teams	—	391	347	107	14	2	9	36	71	1	11	6	308	375	438	813	130	360	18	9	354	126	—	—	—	—	—	—
2017	24	AAA RAW	2 teams	—	391	339	107	15	2	9	44	62	1	11	6	316	396	451	847	136	359	16	11	373	126	—	—	—	—	—	—
2018	25	AAA MLE	3 teams	—	214	188	38	4	1	0	22	51	1	7	8	202	289	234	523	32	277	24	10	241	49	—	—	—	—	—	—
2018	25	AAA RAW	3 teams	—	214	181	39	4	1	0	29	43	1	7	8	215	327	249	576	33	283	20	14	273	49	—	—	—	—	—	—
2019	26	AAA MLE	2 teams	—	438	389	84	20	1	7	44	137	0	14	0	216	296	326	622	111	309	31	10	276	73	—	—	—	—	—	—
2019	26	AAA RAW	2 teams	—	438	370	103	26	1	8	63	100	0	14	0	278	383	419	802	141	357	23	14	359	73	—	—	—	—	—	—
2012	19	ROK MLE	AZL Athletics	—	130	120	31	1	0	0	9	13	0	5	2	258	317	267	584	8	283	10	7	266	66	—	—	—	—	—	—
2014	21	A MLE	3 teams	—	465	408	125	10	6	3	52	90	2	20	19	306	388	382	771	76	381	19	11	338	115	—	—	—	—	—	—
2015	22	AA MLE	2 teams	—	522	470	134	16	9	3	41	95	6	18	14	285	353	377	729	91	343	18	8	317	101	—	—	—	—	—	—
2016	23	AAA MLE	2 teams	—	406	380	98	13	2	4	22	76	1	16	8	258	305	334	639	76	306	19	5	281	76	—	—	—	—	—	—
2017	24	AAA MLE	2 teams	—	391	351	107	14	2	9	36	71	1	11	6	305	375	433	808	128	354	18	9	354	126	—	—	—	—	—	—
2018	25	AAA MLE	3 teams	—	214	189	38	4	1	0	22	51	1	7	8	201	289	233	522	32	275	24	10	241	49	—	—	—	—	—	—
2019	26	AAA MLE	2 teams	—	438	391	84	20	1	7	44	137	0	14	0	215	296	325	620	110	304	31	10	276	73	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	160	141	37	6	1	3	16	36	0	1	2	262	338	383	721	121	327	22	10	320	92	+0	-1	+0	+2	+3	0.6
/ 162G	—	A+C		—	650	573	150	24	4	12	65	146	0	4	8	262	337	380	717	119	326	22	10	320	92	+2	-2	+0	+9	+14	2.3
Career	—	MLE		—	2566	2288	617	78	21	26	226	533	11	91	57	270	338	356	694	87	338	21	9	305	92	+0	-1	+0	+2	+3	0.6
/ 162G	—	MLE		—	650	580	157	20	5	7	57	135	3	23	14	271	340	359	698	88	339	21	9	305	92	+2	-2	+0	+9	+14	2.3

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 AAAEl Paso Chihuahuas · 403 PAwOBA .364 → .276 (−88)K% 23.3% → 31.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.33%	÷0.965	×1.290	—	—	31.17%
BB% (unintentional) /PA	14.64%	÷1.050	×0.710	—	×1.018	10.08%
HBP% /PA	0.00%	—	×0.980	—	×1.018	0.00%
Singles /BIP	26.02%	÷1.033	×0.900	×0.951	×1.018	21.94%
Doubles /BIP	10.16%	÷1.044	×0.810	×0.951	×1.018	7.63%
Triples /BIP	0.41%	÷0.900	×0.810	×0.951	×1.018	0.35%
Home runs /BIP	3.25%	÷0.950	×0.780	—	×1.018	2.72%

Factors used: league row PCL. Park (home-season share, regressed): HR 90, 1B 107, 2B 109, 3B 80, K 93, BB 110 — 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 ×0.951.

Result: wOBA .364 → .276; ISO .150 → .115; BABIP .373 → .304. 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 AAANashville Sounds · 174 PAwOBA .266 → .240 (−26)K% 20.7% → 25.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.69%	÷1.055	×1.290	—	—	25.29%
BB% (unintentional) /PA	13.22%	÷0.966	×0.710	—	×1.033	10.03%
HBP% /PA	0.57%	—	×0.980	—	×1.033	0.58%
Singles /BIP	27.93%	÷0.986	×0.900	×1.034	×1.033	27.25%
Doubles /BIP	1.80%	÷0.937	×0.810	×1.034	×1.033	1.67%
Triples /BIP	0.00%	÷1.150	×0.810	×1.034	×1.033	0.00%
Home runs /BIP	0.00%	÷0.988	×0.780	—	×1.033	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 98, 1B 97, 2B 87, 3B 130, K 111, BB 93 — 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 ×1.034.

Result: wOBA .266 → .240; ISO .014 → .013; BABIP .297 → .289. 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 A+Stockton Ports · 15 PAwOBA .372 → .297 (−74)K% 6.7% → 9.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.67%	÷0.972	×1.340	—	—	9.19%
BB% (unintentional) /PA	33.33%	÷1.035	×0.710	—	×0.978	22.37%
HBP% /PA	0.00%	—	×0.790	—	×0.978	0.00%
Singles /BIP	11.11%	÷0.978	×0.910	—	×0.978	10.11%
Doubles /BIP	11.11%	÷0.926	×0.820	—	×0.978	9.63%
Triples /BIP	0.00%	÷1.006	×0.760	—	×0.978	0.00%
Home runs /BIP	0.00%	÷1.244	×0.920	—	×0.978	0.00%

Factors used: league row CAL. Park (home-season share, regressed): HR 149, 1B 96, 2B 85, 3B 101, K 94, BB 107 — 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 .372 → .297; ISO .100 → .099; BABIP .222 → .197. 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 AAANashville Sounds · 256 PAwOBA .386 → .360 (−26)K% 12.5% → 16.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.50%	÷1.003	×1.290	—	—	16.08%
BB% (unintentional) /PA	11.33%	÷1.029	×0.710	—	×1.048	8.19%
HBP% /PA	0.39%	—	×0.980	—	×1.048	0.40%
Singles /BIP	29.47%	÷0.984	×0.900	×1.047	×1.048	29.58%
Doubles /BIP	5.26%	÷1.021	×0.810	×1.047	×1.048	4.58%
Triples /BIP	1.05%	÷0.900	×0.810	×1.047	×1.048	1.04%
Home runs /BIP	3.16%	÷0.868	×0.780	—	×1.048	2.98%

Factors used: league row PCL. Park (home-season share, regressed): HR 74, 1B 97, 2B 104, 3B 80, K 101, BB 106 — 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 ×1.047.

Result: wOBA .386 → .360; ISO .144 → .135; BABIP .364 → .357. 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 AAATacoma Rainiers · 277 PAwOBA .300 → .281 (−19)K% 15.2% → 18.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.16%	÷1.041	×1.290	—	—	18.79%
BB% (unintentional) /PA	7.94%	÷1.115	×0.710	—	×1.050	5.31%
HBP% /PA	0.00%	—	×0.980	—	×1.050	0.00%
Singles /BIP	25.73%	÷0.987	×0.900	×1.038	×1.050	25.58%
Doubles /BIP	4.37%	÷0.901	×0.810	×1.038	×1.050	4.28%
Triples /BIP	0.97%	÷1.063	×0.810	×1.038	×1.050	0.81%
Home runs /BIP	1.46%	÷0.896	×0.780	—	×1.050	1.33%

Factors used: league row PCL. Park (home-season share, regressed): HR 79, 1B 97, 2B 80, 3B 113, K 108, BB 123 — 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 ×1.038.

Result: wOBA .300 → .281; ISO .089 → .084; BABIP .311 → .306. 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 AAMontgomery Biscuits · 276 PAwOBA .360 → .337 (−23)K% 13.8% → 17.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.77%	÷0.990	×1.220	—	—	16.96%
BB% (unintentional) /PA	10.51%	÷0.987	×0.680	—	×1.042	7.54%
HBP% /PA	1.45%	—	×0.840	—	×1.042	1.27%
Singles /BIP	32.50%	÷1.005	×0.920	×1.039	×1.042	32.21%
Doubles /BIP	3.00%	÷0.953	×0.910	×1.039	×1.042	3.10%
Triples /BIP	3.00%	÷1.150	×0.880	×1.039	×1.042	2.48%
Home runs /BIP	0.50%	÷0.983	×0.800	—	×1.042	0.42%

Factors used: league row SL. Park (home-season share, regressed): HR 97, 1B 101, 2B 91, 3B 130, K 98, BB 97 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.039.

Result: wOBA .360 → .337; ISO .088 → .080; BABIP .385 → .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).

2015 AAADurham Bulls · 246 PAwOBA .320 → .295 (−25)K% 16.7% → 19.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷1.025	×1.200	—	—	19.51%
BB% (unintentional) /PA	13.01%	÷1.148	×0.690	—	×1.050	8.21%
HBP% /PA	0.81%	—	×0.940	—	×1.050	0.80%
Singles /BIP	23.03%	÷1.025	×0.930	×1.048	×1.050	22.99%
Doubles /BIP	6.06%	÷1.062	×0.830	×1.048	×1.050	5.21%
Triples /BIP	1.82%	÷0.900	×0.970	×1.048	×1.050	2.16%
Home runs /BIP	1.21%	÷1.039	×0.840	—	×1.050	1.03%

Factors used: league row IL. Park (home-season share, regressed): HR 108, 1B 105, 2B 112, 3B 80, K 105, BB 130 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.048.

Result: wOBA .320 → .295; ISO .107 → .108; BABIP .309 → .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).

2014 ABeloit Snappers · 312 PAwOBA .393 → .338 (−56)K% 15.7% → 21.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.71%	÷0.974	×1.360	—	—	21.93%
BB% (unintentional) /PA	16.99%	÷1.003	×0.690	—	×1.015	11.86%
HBP% /PA	0.64%	—	×0.780	—	×1.015	0.51%
Singles /BIP	35.12%	÷0.987	×0.920	×1.016	×1.015	33.75%
Doubles /BIP	3.41%	÷1.060	×0.830	×1.016	×1.015	2.76%
Triples /BIP	1.95%	÷0.942	×0.910	×1.016	×1.015	1.94%
Home runs /BIP	1.46%	÷1.155	×0.800	—	×1.015	1.03%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 131, 1B 97, 2B 112, 3B 88, K 95, BB 101 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.016.

Result: wOBA .393 → .338; ISO .094 → .079; BABIP .409 → .387. 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 — .