Dustin Ackley

Pos2B

B/TL/R

Born1988-02-26

Age (2027)39

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	28	MLBNYY	70	.148/.246/.148	0	0	19	-0.6
2017	29	AAALAA	505	.261/.344/.376	6	3	61	—	.216/.276/.303
2018	30	AAALAA	284	.286/.384/.398	4	1	70	—	.227/.294/.310
2019	31	No MLB games played
2020	32	No MLB games played
2021	33	No MLB games played
2022	34	No MLB games played
2023	35	No MLB games played
2024	36	No MLB games played
2025	37	No MLB games played
2026	38	No MLB games played

Last 3 seasons WAR -0.6

Contract

No contract data on file.

Skills · percentileStatcast 2015-2016

Avg EV60

xwOBA53

Speed47

Barrel%26

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)
2010	22	AAA	Tacoma Rainiers	—	237	212	58	12	4	5	20	38	2	2	1	274	342	439	781	165	308	16	8	343	78	—	—	—	—	—	—
2010	22	AA	West Tenn Diamond Jaxx	—	350	289	76	21	4	2	55	41	5	8	2	263	390	384	774	121	300	12	16	354	101	—	—	—	—	—	—
2010	22	INTL	Peoria Javelinas	—	94	66	28	10	0	4	26	11	0	5	0	424	587	758	1.345	333	462	12	28	553	260	—	—	—	—	—	—
2011	23	MLB	Seattle Mariners	—	376	333	91	16	7	6	40	79	0	6	0	273	351	417	769	144	339	21	11	341	118	+8	+1	+6	+3	+8	2.7
2011	23	AAA	Tacoma Rainiers	—	331	271	82	17	3	9	55	38	1	7	3	303	422	487	909	185	324	11	17	400	124	—	—	—	—	—	—
2012	24	MLB	Seattle Mariners	—	668	607	137	22	2	12	59	124	0	13	3	226	294	328	622	102	265	19	9	283	74	-20	+1	+11	+2	+14	0.9
2013	25	MLB	Seattle Mariners	—	427	384	97	18	2	4	37	72	1	2	3	253	320	341	661	89	301	17	9	298	88	-6	-1	-1	+2	+9	0.4
2013	25	AAA	Tacoma Rainiers	—	126	104	38	8	0	2	19	14	2	0	0	365	472	500	972	135	409	11	15	433	138	—	—	—	—	—	—
2014	26	MLB	Seattle Mariners	—	542	502	123	27	4	14	32	90	3	8	4	245	294	398	693	153	273	17	6	305	94	-4	+0	-5	-6	+12	-0.3
2015	27	MLB	New York Yankees	—	264	238	55	11	3	10	18	45	1	2	2	231	288	429	717	197	241	17	7	307	91	-3	-0	-5	-3	+6	-0.5
2015	27	AAA	Scranton/Wilkes-Barre RailRiders	—	19	17	8	1	0	2	1	3	1	1	0	471	526	882	1.409	412	500	16	5	600	243	—	—	—	—	—	—
2016	28	MLB	New York Yankees	—	70	61	9	0	0	0	8	9	0	0	0	148	246	148	394		170	13	11	196	19	-7	+0	+1	-1	+2	-0.6
2017	29	AAA	Salt Lake Bees	—	505	441	115	27	3	6	54	71	2	3	2	261	344	376	720	116	295	14	11	322	61	—	—	—	—	—	—
2018	30	AAA	Salt Lake Bees	—	284	241	69	13	1	4	37	32	1	1	0	286	384	398	782	112	311	11	13	350	70	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2347	2125	512	94	18	46	194	419	5	31	12	241	306	367	673	126	279	18	8	300	89	-30	+1	+7	-3	+51	2.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	22	AAA MLE	Tacoma Rainiers	—	237	217	50	9	4	4	15	48	2	2	1	230	286	364	650	134	271	20	6	284	78	—	—	—	—	—	—
2010	22	AA MLE	West Tenn Diamond Jaxx	—	350	304	76	23	3	2	40	50	5	8	2	250	347	365	712	115	292	14	11	317	101	—	—	—	—	—	—
2011	23	MLB MLE	Seattle Mariners	—	376	334	91	16	7	6	39	79	0	6	0	272	349	416	765	144	339	21	10	343	118	+8	+1	+6	+3	+8	2.7
2011	23	AAA MLE	Tacoma Rainiers	—	331	286	80	16	3	8	40	50	1	7	3	280	370	441	811	161	310	15	12	352	124	—	—	—	—	—	—
2012	24	MLB MLE	Seattle Mariners	—	668	614	138	22	2	12	52	124	0	13	3	225	285	326	611	101	265	19	8	278	74	-20	+1	+11	+2	+14	0.9
2013	25	MLB MLE	Seattle Mariners	—	427	385	97	18	2	4	36	72	1	2	3	252	318	340	658	88	301	17	8	299	88	-6	-1	-1	+2	+9	0.4
2013	25	AAA MLE	Tacoma Rainiers	—	126	111	36	7	0	2	12	18	2	0	0	324	400	441	841	117	371	14	10	372	138	—	—	—	—	—	—
2014	26	MLB MLE	Seattle Mariners	—	542	503	123	27	4	14	31	90	3	8	4	245	292	398	690	153	273	17	6	307	94	-4	+0	-5	-6	+12	-0.3
2015	27	MLB MLE	New York Yankees	—	264	238	54	11	3	9	18	45	1	2	2	227	284	412	696	185	241	17	7	303	91	-3	-0	-5	-3	+6	-0.5
2015	27	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	19	17	8	1	0	2	1	4	1	1	0	471	526	882	1.409	412	458	21	5	528	243	—	—	—	—	—	—
2016	28	MLB MLE	New York Yankees	—	70	61	9	0	0	0	8	9	0	0	0	148	246	148	394		170	13	11	196	19	-7	+0	+1	-1	+2	-0.6
2017	29	AAA MLE	Salt Lake Bees	—	505	459	99	21	2	5	36	91	2	3	2	216	276	303	578	87	251	18	7	259	61	—	—	—	—	—	—
2018	30	AAA MLE	Salt Lake Bees	—	284	255	58	10	1	3	23	41	1	1	0	227	294	310	604	82	248	14	8	271	70	—	—	—	—	—	—
2010	22	AA MLE	3 teams	—	681	605	146	37	8	7	63	115	7	15	3	241	320	364	684	122	285	17	9	304	92	—	—	—	—	—	—
2010	22	AA RAW	3 teams	—	681	567	162	43	8	11	101	90	7	15	3	286	400	448	848	162	321	13	15	378	92	—	—	—	—	—	—
2011	23	MLB MLE	2 teams	—	707	620	173	33	10	14	79	129	1	13	3	279	361	432	794	153	331	18	11	347	121	+18	+1	+6	+3	+15	4.4
2011	23	MLB RAW	2 teams	—	707	604	173	33	10	15	95	117	1	13	3	286	384	449	833	162	332	17	13	369	121	+18	+1	+6	+3	+15	4.4
2012	24	MLB MLE	Seattle Mariners	—	668	614	138	22	2	12	52	124	0	13	3	225	285	326	611	101	263	19	8	278	74	-20	+1	+11	+2	+14	0.9
2012	24	MLB RAW	Seattle Mariners	—	668	607	137	22	2	12	59	124	0	13	3	226	294	328	622	102	265	19	9	283	74	-20	+1	+11	+2	+14	0.9
2013	25	MLB MLE	2 teams	—	553	496	134	25	2	6	48	90	3	2	3	270	338	365	703	95	319	16	9	315	100	-0	-1	-1	+2	+12	1.2
2013	25	MLB RAW	2 teams	—	553	488	135	26	2	6	56	86	3	2	3	277	355	375	730	98	325	16	10	329	100	-0	-1	-1	+2	+12	1.2
2014	26	MLB MLE	Seattle Mariners	—	542	503	123	27	4	14	31	90	3	8	4	245	292	398	690	153	272	17	6	307	94	-4	+0	-5	-6	+12	-0.3
2014	26	MLB RAW	Seattle Mariners	—	542	502	123	27	4	14	32	90	3	8	4	245	294	398	693	153	273	17	6	305	94	-4	+0	-5	-6	+12	-0.3
2015	27	MLB MLE	2 teams	—	283	255	62	12	3	11	19	49	2	3	2	243	301	443	744	200	256	17	7	318	101	+0	-0	-5	-3	+6	-0.1
2015	27	MLB RAW	2 teams	—	283	255	63	12	3	12	19	48	2	3	2	247	304	459	763	212	256	17	7	327	101	+0	-0	-5	-3	+6	-0.1
2016	28	MLB MLE	New York Yankees	—	70	61	9	0	0	0	8	9	0	0	0	148	246	148	394		170	13	11	196	19	-7	+0	+1	-1	+2	-0.6
2016	28	MLB RAW	New York Yankees	—	70	61	9	0	0	0	8	9	0	0	0	148	246	148	394		170	13	11	196	19	-7	+0	+1	-1	+2	-0.6
2017	29	AAA MLE	Salt Lake Bees	—	505	459	99	21	2	5	36	91	2	3	2	216	276	303	578	87	255	18	7	259	61	—	—	—	—	—	—
2017	29	AAA RAW	Salt Lake Bees	—	505	441	115	27	3	6	54	71	2	3	2	261	344	376	720	116	295	14	11	322	61	—	—	—	—	—	—
2018	30	AAA MLE	Salt Lake Bees	—	284	255	58	10	1	3	23	41	1	1	0	227	294	310	604	82	256	14	8	271	70	—	—	—	—	—	—
2018	30	AAA RAW	Salt Lake Bees	—	284	241	69	13	1	4	37	32	1	1	0	286	384	398	782	112	311	11	13	350	70	—	—	—	—	—	—
2010	22	AA MLE	3 teams	—	681	606	146	37	8	7	63	115	7	15	3	241	320	363	683	122	284	17	9	304	92	—	—	—	—	—	—
2011	23	MLB MLE	2 teams	—	707	621	173	33	10	14	79	129	1	13	3	279	361	432	793	153	325	18	11	347	121	—	—	—	—	—	—
2012	24	MLB MLE	Seattle Mariners	—	668	611	138	22	2	12	52	124	0	13	3	226	285	327	613	101	265	19	8	278	74	—	—	—	—	—	—
2013	25	MLB MLE	2 teams	—	553	497	134	25	2	6	48	90	3	2	3	270	338	364	702	95	317	16	9	315	100	—	—	—	—	—	—
2014	26	MLB MLE	Seattle Mariners	—	542	503	123	27	4	14	31	90	3	8	4	245	292	398	690	153	273	17	6	307	94	—	—	—	—	—	—
2015	27	MLB MLE	2 teams	—	283	260	62	12	3	11	19	49	2	3	2	238	301	435	735	196	255	17	7	318	101	—	—	—	—	—	—
2016	28	MLB MLE	New York Yankees	—	70	62	9	0	0	0	8	9	0	0	0	145	246	145	392		170	13	11	196	19	—	—	—	—	—	—
2017	29	AAA MLE	Salt Lake Bees	—	505	462	99	21	2	5	36	91	2	3	2	214	276	301	577	87	251	18	7	259	61	—	—	—	—	—	—
2018	30	AAA MLE	Salt Lake Bees	—	284	258	58	10	1	3	23	41	1	1	0	225	294	306	600	81	248	14	8	271	70	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2347	2125	512	94	18	46	194	419	5	31	12	241	306	367	673	126	279	18	8	300	90	-30	+1	+7	-3	+51	2.7
/ 162G	—	A+C		—	650	589	142	26	5	13	54	116	1	9	3	241	306	368	674	127	279	18	8	300	90	-8	+0	+2	-1	+14	0.8
Career	—	MLE		—	4293	3868	942	187	32	72	359	738	19	58	20	244	311	364	675	121	282	17	8	301	90	-30	+1	+7	-3	+51	2.7
/ 162G	—	MLE		—	650	586	143	28	5	11	54	112	3	9	3	244	311	365	676	121	283	17	8	301	90	-8	+0	+2	-1	+14	0.8

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 AAASalt Lake Bees · 284 PAwOBA .344 → .271 (−73)K% 11.3% → 14.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.27%	÷1.003	×1.290	—	—	14.49%
BB% (unintentional) /PA	12.32%	÷1.068	×0.710	—	×0.972	7.96%
HBP% /PA	0.35%	—	×0.980	—	×0.972	0.34%
Singles /BIP	24.40%	÷1.064	×0.900	×0.992	×0.972	19.89%
Doubles /BIP	6.22%	÷1.045	×0.810	×0.992	×0.972	4.64%
Triples /BIP	0.48%	÷0.969	×0.810	×0.992	×0.972	0.39%
Home runs /BIP	1.91%	÷0.958	×0.780	—	×0.972	1.52%

Factors used: league row PCL. Park (home-season share, regressed): HR 92, 1B 113, 2B 109, 3B 94, K 101, BB 114 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.992.

Result: wOBA .344 → .271; ISO .112 → .091; BABIP .311 → .248. 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 AAASalt Lake Bees · 505 PAwOBA .316 → .259 (−57)K% 14.1% → 18.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.06%	÷1.010	×1.290	—	—	17.95%
BB% (unintentional) /PA	10.30%	÷0.993	×0.710	—	×0.982	7.23%
HBP% /PA	0.40%	—	×0.980	—	×0.982	0.38%
Singles /BIP	21.35%	÷0.986	×0.900	×0.988	×0.982	18.91%
Doubles /BIP	7.30%	÷1.009	×0.810	×0.988	×0.982	5.69%
Triples /BIP	0.81%	÷1.093	×0.810	×0.988	×0.982	0.58%
Home runs /BIP	1.62%	÷0.989	×0.780	—	×0.982	1.26%

Factors used: league row PCL. Park (home-season share, regressed): HR 98, 1B 97, 2B 102, 3B 119, K 102, BB 99 — 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 ×0.988.

Result: wOBA .316 → .259; ISO .116 → .091; BABIP .295 → .251. 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 AAAScranton/Wilkes-Barre RailRiders · 19 PAwOBA .582 → .528 (−54)K% 15.8% → 19.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.79%	÷0.991	×1.200	—	—	19.13%
BB% (unintentional) /PA	5.26%	÷1.139	×0.690	—	×1.003	3.20%
HBP% /PA	5.26%	—	×0.940	—	×1.003	4.96%
Singles /BIP	35.71%	÷1.011	×0.930	—	×1.003	32.95%
Doubles /BIP	7.14%	÷0.903	×0.830	—	×1.003	6.59%
Triples /BIP	0.00%	÷1.150	×0.970	—	×1.003	0.00%
Home runs /BIP	14.29%	÷0.878	×0.840	—	×1.003	13.71%

Factors used: league row IL. Park (home-season share, regressed): HR 76, 1B 102, 2B 81, 3B 130, K 98, BB 128 — 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 .582 → .528; ISO .412 → .388; BABIP .500 → .458. 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 AAATacoma Rainiers · 126 PAwOBA .418 → .372 (−45)K% 11.1% → 13.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.11%	÷1.030	×1.290	—	—	13.92%
BB% (unintentional) /PA	13.49%	÷1.049	×0.710	—	×1.033	9.43%
HBP% /PA	1.59%	—	×0.980	—	×1.033	1.61%
Singles /BIP	31.11%	÷0.983	×0.900	×0.978	×1.033	28.78%
Doubles /BIP	8.89%	÷0.957	×0.810	×0.978	×1.033	7.60%
Triples /BIP	0.00%	÷0.900	×0.810	×0.978	×1.033	0.00%
Home runs /BIP	2.22%	÷0.938	×0.780	—	×1.033	1.91%

Factors used: league row PCL. Park (home-season share, regressed): HR 88, 1B 97, 2B 91, 3B 80, K 106, BB 110 — 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 ×0.978.

Result: wOBA .418 → .372; ISO .135 → .121; BABIP .409 → .371. 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 AAATacoma Rainiers · 331 PAwOBA .390 → .352 (−38)K% 11.5% → 15.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.48%	÷0.990	×1.290	—	—	14.95%
BB% (unintentional) /PA	16.01%	÷0.976	×0.710	—	×1.050	12.23%
HBP% /PA	0.30%	—	×0.980	—	×1.050	0.31%
Singles /BIP	22.75%	÷0.960	×0.900	×0.992	×1.050	22.22%
Doubles /BIP	7.30%	÷0.896	×0.810	×0.992	×1.050	6.87%
Triples /BIP	1.29%	÷0.993	×0.810	×0.992	×1.050	1.09%
Home runs /BIP	3.86%	÷1.004	×0.780	—	×1.050	3.15%

Factors used: league row PCL. Park (home-season share, regressed): HR 101, 1B 92, 2B 79, 3B 99, K 98, BB 95 — 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 ×0.992.

Result: wOBA .390 → .352; ISO .185 → .164; BABIP .324 → .310. 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).

2010 AAWest Tenn Diamond Jaxx · 350 PAwOBA .347 → .317 (−30)K% 11.7% → 14.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.71%	÷0.992	×1.220	—	—	14.41%
BB% (unintentional) /PA	15.71%	÷0.976	×0.680	—	×1.042	11.41%
HBP% /PA	1.43%	—	×0.840	—	×1.042	1.25%
Singles /BIP	19.76%	÷1.058	×0.920	×1.046	×1.042	18.74%
Doubles /BIP	8.47%	÷0.934	×0.910	×1.046	×1.042	8.99%
Triples /BIP	1.61%	÷1.150	×0.880	×1.046	×1.042	1.35%
Home runs /BIP	0.81%	÷0.900	×0.800	—	×1.042	0.75%

Factors used: league row SL. Park (home-season share, regressed): HR 80, 1B 112, 2B 87, 3B 130, K 98, BB 95 — 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 ×1.046.

Result: wOBA .347 → .317; ISO .121 → .123; BABIP .300 → .292. 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).

2010 AAATacoma Rainiers · 237 PAwOBA .336 → .284 (−53)K% 16.0% → 20.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.03%	÷1.012	×1.290	—	—	20.45%
BB% (unintentional) /PA	8.02%	÷0.968	×0.710	—	×1.050	6.17%
HBP% /PA	0.84%	—	×0.980	—	×1.050	0.87%
Singles /BIP	21.26%	÷1.034	×0.900	×1.001	×1.050	19.46%
Doubles /BIP	6.90%	÷1.086	×0.810	×1.001	×1.050	5.41%
Triples /BIP	2.30%	÷0.934	×0.810	×1.001	×1.050	2.10%
Home runs /BIP	2.87%	÷1.031	×0.780	—	×1.050	2.28%

Factors used: league row PCL. Park (home-season share, regressed): HR 106, 1B 107, 2B 117, 3B 87, K 102, BB 94 — 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 ×1.001.

Result: wOBA .336 → .284; ISO .165 → .133; BABIP .308 → .271. 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 — .