Josh Satin

Pos1B

B/TR/R

Born1984-12-23

Age (2027)42

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2016

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2014	29	AAALas Vegas 51s	440	.289/.390/.439	9	1	82	—	.235/.307/.347
2014	29	MLBNYM	43	.086/.256/.143	0	0	33	-1.2
2015	30	AAA/INTL2 orgs	295	.238/.344/.343	4	1	64	—	.222/.293/.310
2016	31	AAASD	49	.182/.250/.273	0	0	6	—	.133/.188/.200
2017	32	No MLB games played
2018	33	No MLB games played
2019	34	No MLB games played
2020	35	No MLB games played
2021	36	No MLB games played
2022	37	No MLB games played
2023	38	No MLB games played
2024	39	No MLB games played
2025	40	No MLB games played
2026	41	No MLB games played

Last 3 seasons WAR -1.2

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)
2009	24	A+	St. Lucie Mets	—	28	22	8	2	0	1	5	7	0	0	0	364	481	591	1.072	227	467	25	18	452	143	—	—	—	—	—	—
2009	24	A	Savannah Sand Gnats	—	520	440	125	38	0	7	73	103	2	0	3	284	388	418	807	134	352	20	14	362	74	—	—	—	—	—	—
2010	25	AA	Binghamton Mets	—	332	286	88	24	1	7	36	71	7	1	0	308	398	472	870	164	384	21	11	385	105	—	—	—	—	—	—
2010	25	A+	St. Lucie Mets	—	245	209	66	15	0	5	30	50	3	1	5	316	409	459	868	144	391	20	12	385	101	—	—	—	—	—	—
2010	25	INTL	Mesa Solar Sox	—	48	41	16	2	0	1	6	13	1	0	0	390	479	512	991	122	556	27	12	444	187	—	—	—	—	—	—
2011	26	MLB	New York Mets	—	27	25	5	1	0	0	1	11	1	0	0	200	259	240	499	40	357	41	4	235	49	-2	+0	+1	-12	+1	-1.2
2011	26	AAA	Buffalo Bisons	—	160	145	46	8	0	1	14	33	1	1	2	317	381	393	774	76	405	21	9	352	76	—	—	—	—	—	—
2011	26	AA	Binghamton Mets	—	404	338	110	35	2	11	57	91	4	2	2	325	429	538	967	213	411	23	14	420	123	—	—	—	—	—	—
2011	26	INTL	Leones del Caracas	—	59	41	6	0	0	2	17	16	1	0	0	146	407	293	699	146	174	27	29	345	120	—	—	—	—	—	—
2012	27	AAA	Buffalo Bisons	—	527	441	126	25	1	14	77	109	3	3	4	286	395	442	838	156	346	21	15	373	103	—	—	—	—	—	—
2013	28	MLB	New York Mets	—	221	190	53	15	0	3	30	56	0	1	1	279	377	405	783	126	379	25	14	353	127	+7	-0	-1	-9	+5	0.2
2013	28	AAA	Las Vegas 51s	—	264	220	67	14	0	9	43	45	1	0	2	305	420	491	911	186	349	17	16	406	98	—	—	—	—	—	—
2014	29	MLB	New York Mets	—	43	35	3	2	0	0	6	14	2	0	0	86	256	143	399	57	143	33	14	212	33	-3	+0	-0	-9	+1	-1.2
2014	29	AAA	Las Vegas 51s	—	440	374	108	27	1	9	61	79	1	1	3	289	390	439	828	150	341	18	14	369	82	—	—	—	—	—	—
2015	30	AAA	Louisville Bats	—	280	235	58	12	1	4	34	44	4	1	1	247	352	357	709	111	283	16	12	318	68	—	—	—	—	—	—
2015	30	INTL	Toros del Este	—	15	13	1	0	0	0	2	2	0	0	0	77	200	77	277		91	13	13	153	-10	—	—	—	—	—	—
2016	31	AAA	El Paso Chihuahuas	—	49	44	8	4	0	0	2	11	2	0	0	182	250	273	523	91	242	22	4	237	6	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	291	250	61	18	0	3	37	81	3	1	1	244	348	352	700	108	347	28	13	322	104	+1	-0	-0	-29	+6	-2.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	24	A+ MLE	St. Lucie Mets	—	28	23	7	2	0	1	4	10	0	0	0	304	407	522	929	217	420	36	14	379	143	—	—	—	—	—	—
2009	24	A MLE	Savannah Sand Gnats	—	520	467	106	30	0	6	46	138	2	0	3	227	299	330	629	103	299	27	9	277	74	—	—	—	—	—	—
2010	25	AA MLE	Binghamton Mets	—	332	296	80	21	1	5	26	89	7	1	0	270	343	399	742	128	359	27	8	324	105	—	—	—	—	—	—
2010	25	A+ MLE	St. Lucie Mets	—	245	218	58	14	0	4	21	70	3	1	5	266	339	385	724	119	361	29	9	318	101	—	—	—	—	—	—
2011	26	MLB MLE	New York Mets	—	27	25	5	1	0	0	1	11	1	0	0	200	259	240	499	40	357	41	4	241	49	-2	+0	+1	-12	+1	-1.2
2011	26	AAA MLE	Buffalo Bisons	—	160	150	39	6	0	1	9	39	1	1	2	260	306	320	626	60	351	24	6	281	76	—	—	—	—	—	—
2011	26	AA MLE	Binghamton Mets	—	404	354	100	31	2	8	41	112	4	2	2	282	363	449	813	167	375	28	10	350	123	—	—	—	—	—	—
2012	27	AAA MLE	Buffalo Bisons	—	527	467	120	22	1	13	51	132	3	3	4	257	334	392	726	135	320	25	10	321	103	—	—	—	—	—	—
2013	28	MLB MLE	New York Mets	—	221	192	55	16	0	3	28	56	0	1	1	286	377	417	794	130	379	25	13	356	127	+7	-0	-1	-9	+5	0.2
2013	28	AAA MLE	Las Vegas 51s	—	264	233	56	11	0	6	30	61	1	0	2	240	330	365	694	124	305	23	11	313	98	—	—	—	—	—	—
2014	29	MLB MLE	New York Mets	—	43	35	3	2	0	0	6	14	2	0	0	86	256	143	399	57	143	33	14	217	33	-3	+0	-0	-9	+1	-1.2
2014	29	AAA MLE	Las Vegas 51s	—	440	395	93	21	1	7	40	108	1	1	3	235	307	347	654	111	297	25	9	289	82	—	—	—	—	—	—
2015	30	AAA MLE	Louisville Bats	—	280	248	55	11	1	3	21	53	4	1	1	222	293	310	604	89	253	19	8	269	68	—	—	—	—	—	—
2016	31	AAA MLE	El Paso Chihuahuas	—	49	45	6	3	0	0	1	15	2	0	0	133	188	200	388	67	196	31	2	177	6	—	—	—	—	—	—
2009	24	A MLE	2 teams	—	548	490	111	31	0	6	50	148	2	0	3	227	301	327	627	100	307	27	9	282	77	—	—	—	—	—	—
2009	24	A RAW	2 teams	—	548	462	133	40	0	8	78	110	2	0	3	288	393	426	819	139	357	20	14	366	77	—	—	—	—	—	—
2010	25	AA MLE	3 teams	—	625	557	150	38	1	10	51	173	11	2	5	269	342	395	737	126	369	28	8	321	104	—	—	—	—	—	—
2010	25	AA RAW	3 teams	—	625	536	170	41	1	13	72	134	11	2	5	317	409	470	879	153	398	21	12	390	104	—	—	—	—	—	—
2011	26	AA MLE	4 teams	—	650	582	158	42	2	9	56	177	7	3	4	271	343	397	740	125	372	27	9	326	107	—	—	—	—	—	—
2011	26	AA RAW	4 teams	—	650	549	167	44	2	14	89	151	7	3	4	304	408	468	876	164	393	23	14	389	107	—	—	—	—	—	—
2012	27	AAA MLE	Buffalo Bisons	—	527	467	120	22	1	13	51	132	3	3	4	257	334	392	726	135	326	25	10	321	103	—	—	—	—	—	—
2012	27	AAA RAW	Buffalo Bisons	—	527	441	126	25	1	14	77	109	3	3	4	286	395	442	838	156	346	21	15	373	103	—	—	—	—	—	—
2013	28	AAA MLE	2 teams	—	485	425	111	27	0	9	58	117	1	1	3	261	351	388	739	127	340	24	12	333	111	—	—	—	—	—	—
2013	28	AAA RAW	2 teams	—	485	410	120	29	0	12	73	101	1	1	3	293	401	451	852	159	362	21	15	382	111	—	—	—	—	—	—
2014	29	AAA MLE	2 teams	—	483	430	96	23	1	7	46	122	3	1	3	223	303	330	633	107	292	25	10	283	77	—	—	—	—	—	—
2014	29	AAA RAW	2 teams	—	483	409	111	29	1	9	67	93	3	1	3	271	378	413	791	142	328	19	14	355	77	—	—	—	—	—	—
2015	30	AAA MLE	2 teams	—	295	262	58	11	1	4	22	56	4	1	1	221	292	317	608	95	262	19	7	269	68	—	—	—	—	—	—
2015	30	AAA RAW	2 teams	—	295	248	59	12	1	4	36	46	4	1	1	238	344	343	686	105	272	16	12	310	68	—	—	—	—	—	—
2016	31	AAA MLE	El Paso Chihuahuas	—	49	45	6	3	0	0	1	15	2	0	0	133	188	200	388	67	200	31	2	177	6	—	—	—	—	—	—
2016	31	AAA RAW	El Paso Chihuahuas	—	49	44	8	4	0	0	2	11	2	0	0	182	250	273	523	91	242	22	4	237	6	—	—	—	—	—	—
2009	24	A MLE	2 teams	—	548	491	111	31	0	6	50	148	2	0	3	226	301	326	627	100	305	27	9	282	77	—	—	—	—	—	—
2010	25	AA MLE	3 teams	—	625	558	150	38	1	10	51	173	11	2	5	269	342	394	737	125	360	28	8	321	104	—	—	—	—	—	—
2011	26	AA MLE	4 teams	—	650	582	158	42	2	9	56	177	7	3	4	271	343	397	740	125	368	27	9	326	107	—	—	—	—	—	—
2012	27	AAA MLE	Buffalo Bisons	—	527	468	120	22	1	13	51	132	3	3	4	256	334	391	725	135	320	25	10	321	103	—	—	—	—	—	—
2013	28	AAA MLE	2 teams	—	485	423	111	27	0	9	58	117	1	1	3	262	351	390	741	128	339	24	12	333	111	—	—	—	—	—	—
2014	29	AAA MLE	2 teams	—	483	431	96	23	1	7	46	122	3	1	3	223	303	329	632	107	283	25	10	283	77	—	—	—	—	—	—
2015	30	AAA MLE	2 teams	—	295	267	58	11	1	4	22	56	4	1	1	217	292	311	603	94	253	19	7	269	68	—	—	—	—	—	—
2016	31	AAA MLE	El Paso Chihuahuas	—	49	46	6	3	0	0	1	15	2	0	0	130	188	196	383	65	196	31	2	177	6	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	291	250	61	18	0	3	37	81	3	1	1	244	348	352	700	108	347	28	13	322	94	+1	-0	-0	-29	+6	-2.2
/ 162G	—	A+C		—	650	558	136	40	0	7	83	181	7	2	2	244	349	353	702	109	347	28	13	322	94	+3	-0	-1	-65	+14	-5.0
Career	—	MLE		—	3662	3258	810	197	6	58	335	940	33	11	23	249	325	366	691	118	328	26	9	307	94	+1	-0	-0	-29	+6	-2.2
/ 162G	—	MLE		—	650	578	143	35	1	10	59	167	6	2	4	247	323	363	687	116	327	26	9	307	94	+3	-0	-1	-65	+14	-5.0

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.

2016 AAAEl Paso Chihuahuas · 49 PAwOBA .231 → .177 (−54)K% 22.4% → 30.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.45%	÷0.951	×1.290	—	—	30.45%
BB% (unintentional) /PA	4.08%	÷1.004	×0.710	—	×0.952	2.75%
HBP% /PA	4.08%	—	×0.980	—	×0.952	3.81%
Singles /BIP	12.12%	÷1.026	×0.900	—	×0.952	10.12%
Doubles /BIP	12.12%	÷0.987	×0.810	—	×0.952	9.47%
Triples /BIP	0.00%	÷1.028	×0.810	—	×0.952	0.00%
Home runs /BIP	0.00%	÷1.160	×0.780	—	×0.952	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 132, 1B 105, 2B 97, 3B 106, K 90, BB 101 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average).

Result: wOBA .231 → .177; ISO .091 → .066; BABIP .242 → .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).

2015 AAALouisville Bats · 280 PAwOBA .312 → .269 (−44)K% 15.7% → 19.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.71%	÷0.991	×1.200	—	—	19.03%
BB% (unintentional) /PA	11.43%	÷1.023	×0.690	—	×0.962	7.42%
HBP% /PA	1.43%	—	×0.940	—	×0.962	1.29%
Singles /BIP	21.47%	÷0.999	×0.930	×1.021	×0.962	19.63%
Doubles /BIP	6.28%	÷0.975	×0.830	×1.021	×0.962	5.25%
Triples /BIP	0.52%	÷0.922	×0.970	×1.021	×0.962	0.54%
Home runs /BIP	2.09%	÷1.009	×0.840	—	×0.962	1.68%

Factors used: league row IL. Park (home-season share, regressed): HR 102, 1B 100, 2B 95, 3B 84, K 98, BB 105 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .312 → .269; ISO .111 → .098; BABIP .283 → .253. 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 AAALas Vegas 51s · 440 PAwOBA .364 → .289 (−74)K% 18.0% → 24.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.95%	÷0.945	×1.290	—	—	24.50%
BB% (unintentional) /PA	13.86%	÷1.060	×0.710	—	×0.972	9.03%
HBP% /PA	0.23%	—	×0.980	—	×0.972	0.22%
Singles /BIP	24.07%	÷0.991	×0.900	×1.035	×0.972	21.98%
Doubles /BIP	9.15%	÷1.057	×0.810	×1.035	×0.972	7.06%
Triples /BIP	0.34%	÷0.900	×0.810	×1.035	×0.972	0.31%
Home runs /BIP	3.05%	÷0.925	×0.780	—	×0.972	2.50%

Factors used: league row PCL. Park (home-season share, regressed): HR 85, 1B 98, 2B 111, 3B 80, K 89, BB 112 — 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 ×1.035.

Result: wOBA .364 → .289; ISO .150 → .118; BABIP .341 → .297. 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 AAALas Vegas 51s · 264 PAwOBA .396 → .313 (−83)K% 17.0% → 23.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.05%	÷0.952	×1.290	—	—	23.11%
BB% (unintentional) /PA	16.29%	÷0.994	×0.710	—	×0.982	11.42%
HBP% /PA	0.38%	—	×0.980	—	×0.982	0.36%
Singles /BIP	25.14%	÷1.018	×0.900	×1.048	×0.982	22.87%
Doubles /BIP	8.00%	÷1.023	×0.810	×1.048	×0.982	6.52%
Triples /BIP	0.00%	÷1.150	×0.810	×1.048	×0.982	0.00%
Home runs /BIP	5.14%	÷1.078	×0.780	—	×0.982	3.66%

Factors used: league row PCL. Park (home-season share, regressed): HR 116, 1B 104, 2B 105, 3B 130, K 90, 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 ×1.048.

Result: wOBA .396 → .313; ISO .186 → .137; BABIP .349 → .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).

2012 AAABuffalo Bisons · 527 PAwOBA .367 → .321 (−45)K% 20.7% → 25.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.68%	÷0.989	×1.200	—	—	25.10%
BB% (unintentional) /PA	14.23%	÷1.002	×0.690	—	×0.992	9.72%
HBP% /PA	0.57%	—	×0.940	—	×0.992	0.53%
Singles /BIP	25.90%	÷0.992	×0.930	×1.018	×0.992	24.51%
Doubles /BIP	7.53%	÷0.963	×0.830	×1.018	×0.992	6.55%
Triples /BIP	0.30%	÷1.002	×0.970	×1.018	×0.992	0.29%
Home runs /BIP	4.22%	÷0.901	×0.840	—	×0.992	3.90%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 98, 2B 93, 3B 100, K 98, BB 100 — 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 ×1.018.

Result: wOBA .367 → .321; ISO .156 → .146; BABIP .346 → .320. 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 AABinghamton Mets · 404 PAwOBA .415 → .350 (−65)K% 22.5% → 27.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.52%	÷0.995	×1.220	—	—	27.61%
BB% (unintentional) /PA	14.11%	÷0.944	×0.700	—	×0.978	10.24%
HBP% /PA	0.99%	—	×0.850	—	×0.978	0.82%
Singles /BIP	25.10%	÷1.005	×0.970	×1.005	×0.978	23.80%
Doubles /BIP	14.17%	÷0.961	×0.860	×1.005	×0.978	12.47%
Triples /BIP	0.81%	÷0.920	×0.950	×1.005	×0.978	0.82%
Home runs /BIP	4.45%	÷1.102	×0.780	—	×0.978	3.08%

Factors used: league row EL. Park (home-season share, regressed): HR 120, 1B 101, 2B 92, 3B 84, K 99, BB 89 — 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 ×1.005.

Result: wOBA .415 → .350; ISO .213 → .171; BABIP .411 → .375. 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 AAABuffalo Bisons · 160 PAwOBA .343 → .281 (−62)K% 20.6% → 24.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.62%	÷1.026	×1.200	—	—	24.12%
BB% (unintentional) /PA	8.75%	÷1.088	×0.690	—	×1.003	5.57%
HBP% /PA	0.62%	—	×0.940	—	×1.003	0.59%
Singles /BIP	33.04%	÷1.008	×0.930	×0.952	×1.003	29.12%
Doubles /BIP	7.14%	÷0.977	×0.830	×0.952	×1.003	5.80%
Triples /BIP	0.00%	÷0.981	×0.970	×0.952	×1.003	0.00%
Home runs /BIP	0.89%	÷1.139	×0.840	—	×1.003	0.66%

Factors used: league row IL. Park (home-season share, regressed): HR 128, 1B 102, 2B 95, 3B 96, K 105, BB 118 — 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 ×0.952.

Result: wOBA .343 → .281; ISO .076 → .060; BABIP .405 → .351. 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 AABinghamton Mets · 332 PAwOBA .379 → .324 (−55)K% 21.4% → 26.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.39%	÷0.975	×1.220	—	—	26.76%
BB% (unintentional) /PA	10.84%	÷0.975	×0.700	—	×0.988	7.69%
HBP% /PA	2.11%	—	×0.850	—	×0.988	1.77%
Singles /BIP	26.05%	÷1.023	×0.970	×1.032	×0.988	25.19%
Doubles /BIP	11.16%	÷0.982	×0.860	×1.032	×0.988	9.97%
Triples /BIP	0.47%	÷1.150	×0.950	×1.032	×0.988	0.39%
Home runs /BIP	3.26%	÷1.048	×0.780	—	×0.988	2.39%

Factors used: league row EL. Park (home-season share, regressed): HR 110, 1B 105, 2B 96, 3B 130, K 95, BB 95 — 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 ×1.032.

Result: wOBA .379 → .324; ISO .164 → .133; BABIP .384 → .359. 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 — .