Aaron Hill

Pos2B

B/TR/R

Born1982-03-21

Age (2027)45

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2017

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2015	33	MLBARI	353	.230/.301/.345	6	7	76	-0.1
2016	34	MLBBOS	429	.262/.336/.378	10	4	97	0.9
2017	35	MLBSF	80	.132/.253/.235	1	0	44	-0.6
2018	36	No MLB games played
2019	37	No MLB games played
2020	38	No MLB games played
2021	39	No MLB games played
2022	40	No MLB games played
2023	41	No MLB games played
2024	42	No MLB games played
2025	43	No MLB games played
2026	44	No MLB games played

Last 3 seasons WAR 0.3

Contract

No contract data on file.

Skills · percentileStatcast 2015-2017

xwOBA46

Speed43

Avg EV27

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)
2005	23	MLB	Toronto Blue Jays	—	407	361	99	25	3	3	34	41	5	2	1	274	345	385	730	111	299	10	8	325	106	+3	+0	+4	+2	+9	1.9
2005	23	AAA	Syracuse SkyChiefs	—	168	156	47	11	0	5	4	17	6	2	0	301	343	468	811	167	309	10	2	356	106	—	—	—	—	—	—
2006	24	MLB	Toronto Blue Jays	—	606	546	159	28	3	6	42	66	9	5	2	291	352	386	738	95	319	11	7	329	105	+4	+0	+9	+2	+13	2.9
2007	25	MLB	Toronto Blue Jays	—	657	608	177	47	2	17	41	102	0	4	3	291	336	459	795	168	324	16	6	347	120	+16	-0	+8	+2	+14	4.1
2008	26	MLB	Toronto Blue Jays	—	229	205	54	14	0	2	16	31	3	4	2	263	326	361	687	98	301	14	7	305	93	-2	+0	+2	+1	+5	0.6
2009	27	MLB	Toronto Blue Jays	—	734	682	195	37	0	36	42	98	5	6	2	286	332	499	830	213	288	13	6	362	131	+27	+0	-3	+3	+16	4.4
2010	28	MLB	Toronto Blue Jays	—	580	528	108	22	0	26	41	85	8	2	2	205	272	394	666	189	196	15	7	295	84	-11	-0	+7	+2	+13	1.0
2011	29	MLB	Arizona Diamondbacks	—	571	520	128	27	3	8	35	72	7	21	7	246	302	356	658	110	268	13	6	293	78	-15	+1	+2	+2	+12	0.3
2012	30	MLB	Arizona Diamondbacks	—	668	609	184	44	6	26	52	86	4	14	5	302	361	522	883	220	317	13	8	385	134	+27	+1	+1	+2	+14	4.7
2013	31	MLB	Arizona Diamondbacks	—	362	327	95	21	1	11	29	48	5	1	4	291	357	462	819	171	312	13	8	363	123	+10	-1	-1	+1	+8	1.7
2013	31	AAA	Reno Aces	—	26	24	9	1	1	0	1	3	0	0	0	375	400	500	900	125	409	12	4	382	101	—	—	—	—	—	—
2014	32	MLB	Arizona Diamondbacks	—	541	501	122	26	3	10	28	92	5	4	3	244	290	367	658	124	276	17	5	291	77	-15	-0	-3	+2	+12	-0.5
2015	33	MLB	Arizona Diamondbacks	—	353	313	72	18	0	6	31	54	1	7	2	230	301	345	646	115	253	15	9	287	76	-10	+1	-0	+1	+8	-0.1
2016	34	MLB	Boston Red Sox	—	429	378	99	14	0	10	41	59	3	4	2	262	336	378	715	116	284	14	10	320	97	-2	+0	+0	+2	+9	0.9
2017	35	MLB	San Francisco Giants	—	80	68	9	2	1	1	11	13	0	0	0	132	253	235	488	103	145	16	14	231	44	-5	+0	-2	+0	+2	-0.6
2017	35	AAA	Sacramento River Cats	—	21	17	4	0	1	1	2	7	2	0	0	235	381	529	910	294	333	33	10	399	82	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	6217	5646	1501	325	22	162	443	847	55	74	35	266	325	417	742	151	286	14	7	328	108	+58	+1	+24	+23	+135	24.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	23	MLB MLE	Toronto Blue Jays	—	407	361	99	25	3	3	34	41	5	2	1	274	345	385	730	111	299	10	8	325	106	+3	+0	+4	+2	+9	1.9
2005	23	AAA MLE	Syracuse SkyChiefs	—	168	157	44	10	0	4	3	20	6	2	0	280	319	420	740	140	294	12	2	325	106	—	—	—	—	—	—
2006	24	MLB MLE	Toronto Blue Jays	—	606	551	159	28	3	6	37	66	9	5	2	289	343	383	726	94	319	11	6	324	105	+4	+0	+9	+2	+13	2.9
2007	25	MLB MLE	Toronto Blue Jays	—	657	609	177	47	2	17	40	102	0	4	3	291	334	458	792	167	324	16	6	346	120	+16	-0	+8	+2	+14	4.1
2008	26	MLB MLE	Toronto Blue Jays	—	229	205	54	14	0	2	16	31	3	4	2	263	326	361	687	98	301	14	7	305	93	-2	+0	+2	+1	+5	0.6
2009	27	MLB MLE	Toronto Blue Jays	—	734	683	195	37	0	36	41	98	5	6	2	286	331	498	828	212	288	13	6	361	131	+27	+0	-3	+3	+16	4.4
2010	28	MLB MLE	Toronto Blue Jays	—	580	530	108	22	0	26	39	85	8	2	2	204	269	392	661	189	196	15	7	292	84	-11	-0	+7	+2	+13	1.0
2011	29	MLB MLE	Arizona Diamondbacks	—	571	521	125	25	2	8	34	72	7	21	7	240	295	342	637	102	268	13	6	284	78	-15	+1	+2	+2	+12	0.3
2012	30	MLB MLE	Arizona Diamondbacks	—	668	616	178	40	5	26	45	86	4	14	5	289	341	497	838	208	317	13	7	366	134	+27	+1	+1	+2	+14	4.7
2013	31	MLB MLE	Arizona Diamondbacks	—	362	329	93	19	1	11	27	48	5	1	4	283	346	447	793	164	312	13	7	351	123	+10	-1	-1	+1	+8	1.7
2013	31	AAA MLE	Reno Aces	—	26	24	8	1	1	0	1	4	0	0	0	333	360	458	818	125	337	15	4	317	101	—	—	—	—	—	—
2014	32	MLB MLE	Arizona Diamondbacks	—	541	501	119	24	2	10	28	92	5	4	3	238	285	353	638	116	276	17	5	283	77	-15	-0	-3	+2	+12	-0.5
2015	33	MLB MLE	Arizona Diamondbacks	—	353	313	70	16	0	6	31	54	1	7	2	224	296	332	628	109	253	15	9	281	76	-10	+1	-0	+1	+8	-0.1
2016	34	MLB MLE	Boston Red Sox	—	429	383	96	12	0	10	39	59	3	4	2	251	325	360	685	110	284	14	9	311	97	-2	+0	+0	+2	+9	0.9
2017	35	MLB MLE	San Francisco Giants	—	80	68	9	2	1	1	11	13	0	0	0	132	253	235	488	103	145	16	14	234	44	-5	+0	-2	+0	+2	-0.6
2017	35	AAA MLE	Sacramento River Cats	—	21	18	3	0	1	1	1	9	2	0	0	167	286	444	730	278	270	43	5	290	82	—	—	—	—	—	—
2005	23	MLB MLE	2 teams	—	575	518	143	35	3	7	37	61	11	4	1	276	337	396	733	120	298	11	6	325	106	+4	+0	+4	+2	+12	2.4
2005	23	MLB RAW	2 teams	—	575	517	146	36	3	8	38	58	11	4	1	282	345	410	755	128	302	10	7	334	106	+4	+0	+4	+2	+12	2.4
2006	24	MLB MLE	Toronto Blue Jays	—	606	551	159	28	3	6	37	66	9	5	2	289	343	383	726	94	316	11	6	324	105	+4	+0	+9	+2	+13	2.9
2006	24	MLB RAW	Toronto Blue Jays	—	606	546	159	28	3	6	42	66	9	5	2	291	352	386	738	95	319	11	7	329	105	+4	+0	+9	+2	+13	2.9
2007	25	MLB MLE	Toronto Blue Jays	—	657	609	177	47	2	17	40	102	0	4	3	291	334	458	792	167	323	16	6	346	120	+16	-0	+8	+2	+14	4.1
2007	25	MLB RAW	Toronto Blue Jays	—	657	608	177	47	2	17	41	102	0	4	3	291	336	459	795	168	324	16	6	347	120	+16	-0	+8	+2	+14	4.1
2008	26	MLB MLE	Toronto Blue Jays	—	229	205	54	14	0	2	16	31	3	4	2	263	326	361	687	98	301	14	7	305	93	-2	+0	+2	+1	+5	0.6
2008	26	MLB RAW	Toronto Blue Jays	—	229	205	54	14	0	2	16	31	3	4	2	263	326	361	687	98	301	14	7	305	93	-2	+0	+2	+1	+5	0.6
2009	27	MLB MLE	Toronto Blue Jays	—	734	683	195	37	0	36	41	98	5	6	2	286	331	498	828	212	288	13	6	361	131	+27	+0	-3	+3	+16	4.4
2009	27	MLB RAW	Toronto Blue Jays	—	734	682	195	37	0	36	42	98	5	6	2	286	332	499	830	213	288	13	6	362	131	+27	+0	-3	+3	+16	4.4
2010	28	MLB MLE	Toronto Blue Jays	—	580	530	108	22	0	26	39	85	8	2	2	204	269	392	661	189	195	15	7	292	84	-11	-0	+7	+2	+13	1.0
2010	28	MLB RAW	Toronto Blue Jays	—	580	528	108	22	0	26	41	85	8	2	2	205	272	394	666	189	196	15	7	295	84	-11	-0	+7	+2	+13	1.0
2011	29	MLB MLE	Arizona Diamondbacks	—	571	521	125	25	2	8	34	72	7	21	7	240	295	342	637	102	261	13	6	284	78	-15	+1	+2	+2	+12	0.3
2011	29	MLB RAW	Arizona Diamondbacks	—	571	520	128	27	3	8	35	72	7	21	7	246	302	356	658	110	268	13	6	293	78	-15	+1	+2	+2	+12	0.3
2012	30	MLB MLE	Arizona Diamondbacks	—	668	616	178	40	5	26	45	86	4	14	5	289	341	497	838	208	300	13	7	366	134	+27	+1	+1	+2	+14	4.7
2012	30	MLB RAW	Arizona Diamondbacks	—	668	609	184	44	6	26	52	86	4	14	5	302	361	522	883	220	317	13	8	385	134	+27	+1	+1	+2	+14	4.7
2013	31	MLB MLE	2 teams	—	388	353	100	20	1	11	28	52	5	1	4	283	345	439	784	156	305	13	7	348	122	+10	-1	-1	+1	+8	1.8
2013	31	MLB RAW	2 teams	—	388	351	104	22	2	11	30	51	5	1	4	296	360	464	824	168	320	13	8	364	122	+10	-1	-1	+1	+8	1.8
2014	32	MLB MLE	Arizona Diamondbacks	—	541	501	119	24	2	10	28	92	5	4	3	238	285	353	638	116	268	17	5	283	77	-15	-0	-3	+2	+12	-0.5
2014	32	MLB RAW	Arizona Diamondbacks	—	541	501	122	26	3	10	28	92	5	4	3	244	290	367	658	124	276	17	5	291	77	-15	-0	-3	+2	+12	-0.5
2015	33	MLB MLE	Arizona Diamondbacks	—	353	313	70	16	0	6	31	54	1	7	2	224	296	332	628	109	245	15	9	281	76	-10	+1	-0	+1	+8	-0.1
2015	33	MLB RAW	Arizona Diamondbacks	—	353	313	72	18	0	6	31	54	1	7	2	230	301	345	646	115	253	15	9	287	76	-10	+1	-0	+1	+8	-0.1
2016	34	MLB MLE	Boston Red Sox	—	429	383	96	12	0	10	39	59	3	4	2	251	325	360	685	110	270	14	9	311	97	-2	+0	+0	+2	+9	0.9
2016	34	MLB RAW	Boston Red Sox	—	429	378	99	14	0	10	41	59	3	4	2	262	336	378	715	116	284	14	10	320	97	-2	+0	+0	+2	+9	0.9
2017	35	MLB MLE	2 teams	—	101	86	12	2	2	2	12	22	2	0	0	140	260	279	539	140	159	22	12	246	52	-6	+0	-2	+0	+2	-0.6
2017	35	MLB RAW	2 teams	—	101	85	13	2	2	2	13	20	2	0	0	153	280	294	574	141	172	20	13	266	52	-6	+0	-2	+0	+2	-0.6
2005	23	MLB MLE	2 teams	—	575	522	143	35	3	7	37	61	11	4	1	274	337	393	730	119	298	11	6	325	106	—	—	—	—	—	—
2006	24	MLB MLE	Toronto Blue Jays	—	606	555	159	28	3	6	37	66	9	5	2	286	343	380	724	94	319	11	6	324	105	—	—	—	—	—	—
2007	25	MLB MLE	Toronto Blue Jays	—	657	612	177	47	2	17	40	102	0	4	3	289	334	456	790	167	324	16	6	346	120	—	—	—	—	—	—
2008	26	MLB MLE	Toronto Blue Jays	—	229	208	54	14	0	2	16	31	3	4	2	260	326	356	682	96	301	14	7	305	93	—	—	—	—	—	—
2009	27	MLB MLE	Toronto Blue Jays	—	734	682	195	37	0	36	41	98	5	6	2	286	331	499	829	213	288	13	6	361	131	—	—	—	—	—	—
2010	28	MLB MLE	Toronto Blue Jays	—	580	528	108	22	0	26	39	85	8	2	2	205	269	394	663	189	196	15	7	292	84	—	—	—	—	—	—
2011	29	MLB MLE	Arizona Diamondbacks	—	571	525	125	25	2	8	34	72	7	21	7	238	295	339	634	101	268	13	6	284	78	—	—	—	—	—	—
2012	30	MLB MLE	Arizona Diamondbacks	—	668	614	178	40	5	26	45	86	4	14	5	290	341	498	840	208	317	13	7	366	134	—	—	—	—	—	—
2013	31	MLB MLE	2 teams	—	388	352	100	20	1	11	28	52	5	1	4	284	345	440	785	156	314	13	7	348	122	—	—	—	—	—	—
2014	32	MLB MLE	Arizona Diamondbacks	—	541	503	119	24	2	10	28	92	5	4	3	237	285	352	637	115	276	17	5	283	77	—	—	—	—	—	—
2015	33	MLB MLE	Arizona Diamondbacks	—	353	318	70	16	0	6	31	54	1	7	2	220	296	327	623	107	253	15	9	281	76	—	—	—	—	—	—
2016	34	MLB MLE	Boston Red Sox	—	429	384	96	12	0	10	39	59	3	4	2	250	325	359	684	109	284	14	9	311	97	—	—	—	—	—	—
2017	35	MLB MLE	2 teams	—	101	86	12	2	2	2	12	22	2	0	0	140	260	279	539	140	171	22	12	246	52	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	6217	5646	1501	325	22	162	443	847	55	74	35	266	325	417	742	151	286	14	7	328	104	+58	+1	+24	+23	+135	24.6
/ 162G	—	A+C		—	650	590	157	34	2	17	46	89	6	8	4	266	325	417	742	151	286	14	7	328	104	+6	+0	+3	+2	+14	2.6
Career	—	MLE		—	6432	5869	1536	322	20	167	427	880	63	76	35	262	319	409	727	147	281	14	7	321	104	+58	+1	+24	+23	+135	24.6
/ 162G	—	MLE		—	650	593	156	33	2	17	43	89	6	8	4	263	319	411	730	148	283	14	7	321	104	+6	+0	+3	+2	+14	2.6

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.

2017 AAASacramento River Cats · 21 PAwOBA .388 → .290 (−98)K% 33.3% → 43.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷0.989	×1.290	—	—	43.48%
BB% (unintentional) /PA	9.52%	÷0.952	×0.710	—	×0.940	6.68%
HBP% /PA	9.52%	—	×0.980	—	×0.940	8.77%
Singles /BIP	20.00%	÷1.027	×0.900	—	×0.940	16.48%
Doubles /BIP	0.00%	÷0.975	×0.810	—	×0.940	0.00%
Triples /BIP	10.00%	÷0.920	×0.810	—	×0.940	8.28%
Home runs /BIP	10.00%	÷0.889	×0.780	—	×0.940	8.25%

Factors used: league row PCL. Park (home-season share, regressed): HR 78, 1B 105, 2B 95, 3B 84, K 98, BB 90 — applied at half strength. Age: age 35 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (7.8 yr older than average).

Result: wOBA .388 → .290; ISO .294 → .210; BABIP .333 → .270. 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 AAAReno Aces · 26 PAwOBA .387 → .317 (−70)K% 11.5% → 14.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.54%	÷1.000	×1.290	—	—	14.88%
BB% (unintentional) /PA	3.85%	÷0.947	×0.710	—	×0.962	2.77%
HBP% /PA	0.00%	—	×0.980	—	×0.962	0.00%
Singles /BIP	33.33%	÷1.018	×0.900	—	×0.962	28.35%
Doubles /BIP	4.76%	÷0.994	×0.810	—	×0.962	3.73%
Triples /BIP	4.76%	÷1.150	×0.810	—	×0.962	3.23%
Home runs /BIP	0.00%	÷1.121	×0.780	—	×0.962	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 124, 1B 104, 2B 99, 3B 130, K 100, BB 89 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average).

Result: wOBA .387 → .317; ISO .125 → .091; BABIP .409 → .337. 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).

2005 AAASyracuse SkyChiefs · 168 PAwOBA .350 → .325 (−25)K% 10.1% → 12.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.12%	÷1.000	×1.200	—	—	12.14%
BB% (unintentional) /PA	2.38%	÷1.000	×0.690	—	×1.050	1.73%
HBP% /PA	3.57%	—	×0.940	—	×1.050	3.52%
Singles /BIP	22.30%	÷1.000	×0.930	×1.008	×1.050	21.96%
Doubles /BIP	7.91%	÷1.000	×0.830	×1.008	×1.050	6.96%
Triples /BIP	0.00%	÷1.000	×0.970	×1.008	×1.050	0.00%
Home runs /BIP	3.60%	÷1.000	×0.840	—	×1.050	3.17%

Factors used: league row IL. 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 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 ×1.008.

Result: wOBA .350 → .325; ISO .167 → .147; BABIP .309 → .294. 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).