Garrett Jones

Pos1B

B/TL/L

Born1981-06-21

Age (2027)46

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2015

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2013	32	MLBPIT	440	.233/.291/.419	15	2	99	-0.8
2014	33	MLBMIA	547	.246/.311/.411	15	0	107	-0.6
2015	34	MLBNYY	152	.215/.257/.361	5	0	69	-0.8
2016	35	No MLB games played
2017	36	No MLB games played
2018	37	No MLB games played
2019	38	No MLB games played
2020	39	No MLB games played
2021	40	No MLB games played
2022	41	No MLB games played
2023	42	No MLB games played
2024	43	No MLB games played
2025	44	No MLB games played
2026	45	No MLB games played

Last 3 seasons WAR -2.3

Contract

No contract data on file.

Skills · percentileStatcast 2015

Avg EV50

Speed36

xwOBA29

Barrel%15

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	24	AAA	Rochester Red Wings	—	527	488	119	22	2	24	36	109	1	5	1	244	297	445	742	201	267	21	7	325	69	—	—	—	—	—	—
2006	25	AAA	Rochester Red Wings	—	582	525	125	32	3	21	49	121	2	3	4	238	306	430	736	192	267	21	8	323	72	—	—	—	—	—	—
2007	26	MLB	Minnesota Twins	—	84	77	16	2	1	2	6	20	0	1	1	208	265	338	603	130	250	24	7	268	67	-3	-0	-2	-9	+2	-1.4
2007	26	AAA	Rochester Red Wings	—	446	400	112	32	3	13	32	83	5	2	2	280	341	472	813	192	316	19	7	352	91	—	—	—	—	—	—
2008	27	AAA	Rochester Red Wings	—	587	527	147	33	3	23	50	98	1	9	2	279	343	484	826	205	299	17	9	358	93	—	—	—	—	—	—
2009	28	MLB	Pittsburgh Pirates	—	358	314	92	21	1	21	40	76	1	10	2	293	375	567	942	274	323	21	11	406	150	+21	+1	-5	-7	+8	1.9
2009	28	AAA	Indianapolis Indians	—	299	277	85	18	0	12	18	47	1	14	4	307	351	502	853	195	330	16	6	372	96	—	—	—	—	—	—
2010	29	MLB	Pittsburgh Pirates	—	654	592	146	34	1	21	53	123	1	7	3	247	310	414	723	167	274	19	8	318	102	+2	+0	-15	-12	+14	-1.0
2011	30	MLB	Pittsburgh Pirates	—	478	423	103	30	1	16	48	104	2	6	3	243	323	433	755	189	283	22	10	333	111	+6	+0	-8	-5	+10	0.4
2012	31	MLB	Pittsburgh Pirates	—	515	475	130	28	3	27	33	103	0	2	0	274	321	516	837	242	293	20	6	360	132	+20	+0	-14	-9	+11	0.9
2013	32	MLB	Pittsburgh Pirates	—	440	403	94	26	2	15	31	101	2	2	0	233	291	419	711	186	271	23	7	312	99	-0	+0	-10	-8	+10	-0.8
2014	33	MLB	Miami Marlins	—	547	496	122	33	2	15	46	116	1	0	1	246	311	411	723	165	290	21	8	320	107	+5	-0	-13	-10	+12	-0.6
2015	34	MLB	New York Yankees	—	152	144	31	4	1	5	8	37	0	0	0	215	257	361	618	146	255	24	5	275	69	-6	+0	-4	-2	+3	-0.8
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3228	2924	734	178	12	122	265	680	7	28	10	251	315	445	760	194	284	21	8	333	111	+43	+2	-70	-62	+70	-1.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	24	AAA MLE	Rochester Red Wings	—	527	501	106	18	2	21	23	131	1	5	1	212	248	381	629	170	241	25	4	270	69	—	—	—	—	—	—
2006	25	AAA MLE	Rochester Red Wings	—	582	541	114	27	3	18	33	145	2	3	4	211	259	372	630	161	246	25	6	274	72	—	—	—	—	—	—
2007	26	MLB MLE	Minnesota Twins	—	84	77	16	2	1	2	6	20	0	1	1	208	265	338	603	130	250	24	7	268	67	-3	-0	-2	-9	+2	-1.4
2007	26	AAA MLE	Rochester Red Wings	—	446	412	101	27	3	11	20	99	5	2	2	245	288	405	694	160	283	22	4	303	91	—	—	—	—	—	—
2008	27	AAA MLE	Rochester Red Wings	—	587	546	135	28	3	20	31	117	1	9	2	247	289	419	708	172	270	20	5	306	93	—	—	—	—	—	—
2009	28	MLB MLE	Pittsburgh Pirates	—	358	322	92	21	1	21	32	76	1	10	2	286	352	553	905	267	323	21	9	390	150	+21	+1	-5	-7	+8	1.9
2009	28	AAA MLE	Indianapolis Indians	—	299	288	76	15	0	10	7	57	1	14	4	264	284	420	704	156	289	19	2	310	96	—	—	—	—	—	—
2010	29	MLB MLE	Pittsburgh Pirates	—	654	594	147	33	1	23	51	123	1	7	3	247	308	423	731	175	274	19	8	319	102	+2	+0	-15	-12	+14	-1.0
2011	30	MLB MLE	Pittsburgh Pirates	—	478	426	103	29	1	17	46	104	2	6	3	242	319	434	753	192	283	22	10	333	111	+6	+0	-8	-5	+10	0.4
2012	31	MLB MLE	Pittsburgh Pirates	—	515	477	131	27	3	29	31	103	0	2	0	275	319	526	845	252	293	20	6	363	132	+20	+0	-14	-9	+11	0.9
2013	32	MLB MLE	Pittsburgh Pirates	—	440	403	94	25	2	16	31	101	2	2	0	233	291	424	716	191	271	23	7	315	99	-0	+0	-10	-8	+10	-0.8
2014	33	MLB MLE	Miami Marlins	—	547	500	127	36	2	16	42	116	1	0	1	254	313	430	743	176	290	21	8	327	107	+5	-0	-13	-10	+12	-0.6
2015	34	MLB MLE	New York Yankees	—	152	144	31	4	1	5	8	37	0	0	0	215	257	361	618	146	255	24	5	271	69	-6	+0	-4	-2	+3	-0.8
2005	24	AAA MLE	Rochester Red Wings	—	527	501	106	18	2	21	23	131	1	5	1	212	248	381	629	170	243	25	4	270	69	—	—	—	—	—	—
2005	24	AAA RAW	Rochester Red Wings	—	527	488	119	22	2	24	36	109	1	5	1	244	297	445	742	201	267	21	7	325	69	—	—	—	—	—	—
2006	25	AAA MLE	Rochester Red Wings	—	582	541	114	27	3	18	33	145	2	3	4	211	259	372	630	161	250	25	6	274	72	—	—	—	—	—	—
2006	25	AAA RAW	Rochester Red Wings	—	582	525	125	32	3	21	49	121	2	3	4	238	306	430	736	192	267	21	8	323	72	—	—	—	—	—	—
2007	26	AAA MLE	2 teams	—	530	489	117	29	4	13	26	119	5	3	3	239	285	395	679	155	283	22	5	297	87	—	—	—	—	—	—
2007	26	AAA RAW	2 teams	—	530	477	128	34	4	15	38	103	5	3	3	268	329	451	780	182	306	19	7	338	87	—	—	—	—	—	—
2008	27	AAA MLE	Rochester Red Wings	—	587	546	135	28	3	20	31	117	1	9	2	247	289	419	708	172	275	20	5	306	93	—	—	—	—	—	—
2008	27	AAA RAW	Rochester Red Wings	—	587	527	147	33	3	23	50	98	1	9	2	279	343	484	826	205	299	17	9	358	93	—	—	—	—	—	—
2009	28	MLB MLE	2 teams	—	657	610	168	36	1	31	39	133	2	24	6	275	321	490	811	215	303	20	6	354	126	+20	+2	-5	-7	+14	2.5
2009	28	MLB RAW	2 teams	—	657	591	177	39	1	33	58	123	2	24	6	299	364	536	900	237	327	19	9	390	126	+20	+2	-5	-7	+14	2.5
2010	29	MLB MLE	Pittsburgh Pirates	—	654	594	147	33	1	23	51	123	1	7	3	247	308	423	731	175	272	19	8	319	102	+2	+0	-15	-12	+14	-1.0
2010	29	MLB RAW	Pittsburgh Pirates	—	654	592	146	34	1	21	53	123	1	7	3	247	310	414	723	167	274	19	8	318	102	+2	+0	-15	-12	+14	-1.0
2011	30	MLB MLE	Pittsburgh Pirates	—	478	426	103	29	1	17	46	104	2	6	3	242	319	434	753	192	278	22	10	333	111	+6	+0	-8	-5	+10	0.4
2011	30	MLB RAW	Pittsburgh Pirates	—	478	423	103	30	1	16	48	104	2	6	3	243	323	433	755	189	283	22	10	333	111	+6	+0	-8	-5	+10	0.4
2012	31	MLB MLE	Pittsburgh Pirates	—	515	477	131	27	3	29	31	103	0	2	0	275	319	526	845	252	290	20	6	363	132	+20	+0	-14	-9	+11	0.9
2012	31	MLB RAW	Pittsburgh Pirates	—	515	475	130	28	3	27	33	103	0	2	0	274	321	516	837	242	293	20	6	360	132	+20	+0	-14	-9	+11	0.9
2013	32	MLB MLE	Pittsburgh Pirates	—	440	403	94	25	2	16	31	101	2	2	0	233	291	424	716	191	269	23	7	315	99	-0	+0	-10	-8	+10	-0.8
2013	32	MLB RAW	Pittsburgh Pirates	—	440	403	94	26	2	15	31	101	2	2	0	233	291	419	711	186	271	23	7	312	99	-0	+0	-10	-8	+10	-0.8
2014	33	MLB MLE	Miami Marlins	—	547	500	127	36	2	16	42	116	1	0	1	254	313	430	743	176	298	21	8	327	107	+5	-0	-13	-10	+12	-0.6
2014	33	MLB RAW	Miami Marlins	—	547	496	122	33	2	15	46	116	1	0	1	246	311	411	723	165	290	21	8	320	107	+5	-0	-13	-10	+12	-0.6
2015	34	MLB MLE	New York Yankees	—	152	144	31	4	1	5	8	37	0	0	0	215	257	361	618	146	255	24	5	271	69	-6	+0	-4	-2	+3	-0.8
2015	34	MLB RAW	New York Yankees	—	152	144	31	4	1	5	8	37	0	0	0	215	257	361	618	146	255	24	5	275	69	-6	+0	-4	-2	+3	-0.8
2005	24	AAA MLE	Rochester Red Wings	—	527	498	106	18	2	21	23	131	1	5	1	213	248	384	631	171	241	25	4	270	69	—	—	—	—	—	—
2006	25	AAA MLE	Rochester Red Wings	—	582	542	114	27	3	18	33	145	2	3	4	210	259	371	630	161	246	25	6	274	72	—	—	—	—	—	—
2007	26	AAA MLE	2 teams	—	530	494	117	29	4	13	26	119	5	3	3	237	285	391	675	154	278	22	5	297	87	—	—	—	—	—	—
2008	27	AAA MLE	Rochester Red Wings	—	587	550	135	28	3	20	31	117	1	9	2	245	289	416	705	171	270	20	5	306	93	—	—	—	—	—	—
2009	28	MLB MLE	2 teams	—	657	611	168	36	1	31	39	133	2	24	6	275	321	489	810	214	307	20	6	354	126	—	—	—	—	—	—
2010	29	MLB MLE	Pittsburgh Pirates	—	654	597	147	33	1	23	51	123	1	7	3	246	308	420	728	174	274	19	8	319	102	—	—	—	—	—	—
2011	30	MLB MLE	Pittsburgh Pirates	—	478	427	103	29	1	17	46	104	2	6	3	241	319	433	752	192	283	22	10	333	111	—	—	—	—	—	—
2012	31	MLB MLE	Pittsburgh Pirates	—	515	479	131	27	3	29	31	103	0	2	0	273	319	524	843	251	293	20	6	363	132	—	—	—	—	—	—
2013	32	MLB MLE	Pittsburgh Pirates	—	440	404	94	25	2	16	31	101	2	2	0	233	291	423	715	191	271	23	7	315	99	—	—	—	—	—	—
2014	33	MLB MLE	Miami Marlins	—	547	499	127	36	2	16	42	116	1	0	1	255	313	431	744	176	290	21	8	327	107	—	—	—	—	—	—
2015	34	MLB MLE	New York Yankees	—	152	143	31	4	1	5	8	37	0	0	0	217	257	364	620	147	255	24	5	271	69	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3228	2924	734	178	12	122	265	680	7	28	10	251	315	445	760	194	284	21	8	333	99	+43	+2	-70	-62	+70	-1.7
/ 162G	—	A+C		—	650	589	148	36	2	25	53	137	1	6	2	251	314	447	760	195	284	21	8	333	99	+9	+0	-14	-12	+14	-0.3
Career	—	MLE		—	5669	5231	1273	292	23	209	361	1229	17	61	23	243	294	428	722	184	276	22	6	315	99	+43	+2	-70	-62	+70	-1.7
/ 162G	—	MLE		—	650	600	146	33	3	24	41	141	2	7	3	243	294	428	722	185	276	22	6	315	99	+9	+0	-14	-12	+14	-0.3

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.

2009 AAAIndianapolis Indians · 299 PAwOBA .357 → .310 (−47)K% 15.7% → 18.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.72%	÷1.000	×1.200	—	—	18.86%
BB% (unintentional) /PA	3.68%	÷1.000	×0.690	—	×0.992	2.52%
HBP% /PA	0.33%	—	×0.940	—	×0.992	0.31%
Singles /BIP	23.91%	÷1.000	×0.930	×0.984	×0.992	21.71%
Doubles /BIP	7.83%	÷1.000	×0.830	×0.984	×0.992	6.34%
Triples /BIP	0.00%	÷1.000	×0.970	×0.984	×0.992	0.00%
Home runs /BIP	5.22%	÷1.000	×0.840	—	×0.992	4.35%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.984.

Result: wOBA .357 → .310; ISO .195 → .164; BABIP .330 → .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).

2008 AAARochester Red Wings · 587 PAwOBA .351 → .306 (−45)K% 16.7% → 20.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.70%	÷1.000	×1.200	—	—	20.03%
BB% (unintentional) /PA	7.67%	÷1.000	×0.690	—	×1.003	5.31%
HBP% /PA	0.17%	—	×0.940	—	×1.003	0.16%
Singles /BIP	20.51%	÷1.000	×0.930	×1.003	×1.003	19.19%
Doubles /BIP	7.69%	÷1.000	×0.830	×1.003	×1.003	6.42%
Triples /BIP	0.70%	÷1.000	×0.970	×1.003	×1.003	0.68%
Home runs /BIP	5.36%	÷1.000	×0.840	—	×1.003	4.52%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.003.

Result: wOBA .351 → .306; ISO .205 → .177; BABIP .299 → .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).

2007 AAARochester Red Wings · 446 PAwOBA .346 → .303 (−43)K% 18.6% → 22.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.61%	÷1.000	×1.200	—	—	22.33%
BB% (unintentional) /PA	6.28%	÷1.000	×0.690	—	×1.018	4.41%
HBP% /PA	1.12%	—	×0.940	—	×1.018	1.07%
Singles /BIP	20.19%	÷1.000	×0.930	×0.983	×1.018	18.78%
Doubles /BIP	10.09%	÷1.000	×0.830	×0.983	×1.018	8.38%
Triples /BIP	0.95%	÷1.000	×0.970	×0.983	×1.018	0.92%
Home runs /BIP	4.10%	÷1.000	×0.840	—	×1.018	3.51%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.983.

Result: wOBA .346 → .303; ISO .193 → .167; BABIP .316 → .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).

2006 AAARochester Red Wings · 582 PAwOBA .315 → .274 (−41)K% 20.8% → 24.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.79%	÷1.000	×1.200	—	—	24.95%
BB% (unintentional) /PA	7.90%	÷1.000	×0.690	—	×1.033	5.63%
HBP% /PA	0.34%	—	×0.940	—	×1.033	0.33%
Singles /BIP	17.08%	÷1.000	×0.930	×0.998	×1.033	16.38%
Doubles /BIP	7.92%	÷1.000	×0.830	×0.998	×1.033	6.78%
Triples /BIP	0.74%	÷1.000	×0.970	×0.998	×1.033	0.74%
Home runs /BIP	5.20%	÷1.000	×0.840	—	×1.033	4.51%

Factors used: league row IL. 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 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 ×0.998.

Result: wOBA .315 → .274; ISO .192 → .167; BABIP .267 → .246. 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 AAARochester Red Wings · 527 PAwOBA .314 → .270 (−44)K% 20.7% → 24.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.68%	÷1.000	×1.200	—	—	24.82%
BB% (unintentional) /PA	6.07%	÷1.000	×0.690	—	×1.048	4.39%
HBP% /PA	0.19%	—	×0.940	—	×1.048	0.19%
Singles /BIP	18.73%	÷1.000	×0.930	×0.955	×1.048	17.45%
Doubles /BIP	5.80%	÷1.000	×0.830	×0.955	×1.048	4.82%
Triples /BIP	0.53%	÷1.000	×0.970	×0.955	×1.048	0.51%
Home runs /BIP	6.33%	÷1.000	×0.840	—	×1.048	5.57%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.955.

Result: wOBA .314 → .270; ISO .201 → .172; BABIP .267 → .241. 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).