Gosuke Katoh

Pos2B

B/TL/R

Born1994-10-08

Age (2027)32

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	24	AAA/AA2 orgs	415	.267/.363/.401	11	11	73	—	.226/.293/.329
2021	26	AAASD	402	.306/.389/.474	8	8	85	—	.248/.314/.361
2022	27	AAANYM	329	.219/.305/.377	9	7	49	—	.188/.247/.303

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)
2013	18	ROK	GCL Yankees1	—	215	184	57	11	5	6	27	44	2	4	2	310	404	522	925	212	378	20	13	403	72	—	—	—	—	—	—
2014	19	A	Charleston RiverDogs	—	465	383	85	19	6	3	71	142	3	20	10	222	348	326	674	104	339	31	15	309	47	—	—	—	—	—	—
2015	20	A	Charleston RiverDogs	—	149	124	20	2	0	1	18	50	0	8	2	161	268	202	469	40	253	34	12	219	-3	—	—	—	—	—	—
2015	20	ROK	Pulaski Yankees	—	254	202	58	9	1	5	49	61	0	9	0	287	426	416	842	129	390	24	19	381	72	—	—	—	—	—	—
2016	21	A	Charleston RiverDogs	—	253	218	50	14	3	1	26	66	4	6	1	229	323	335	657	106	320	26	10	296	42	—	—	—	—	—	—
2017	22	A+	Tampa Yankees	—	346	300	88	20	3	6	40	72	1	11	7	293	378	440	818	147	366	21	12	361	82	—	—	—	—	—	—
2018	23	AA	Trenton Thunder	—	503	433	99	27	2	5	62	123	3	11	6	229	329	335	664	106	305	24	12	303	65	—	—	—	—	—	—
2019	24	AAA	Scranton/Wilkes-Barre RailRiders	—	307	262	73	10	0	11	42	82	2	8	4	279	382	443	825	164	367	27	14	370	83	—	—	—	—	—	—
2019	24	AA	Trenton Thunder	—	108	97	23	3	1	0	10	28	0	3	1	237	308	289	597	52	329	26	9	274	43	—	—	—	—	—	—
2021	26	AAA	El Paso Chihuahuas	—	402	350	107	27	4	8	46	84	2	8	4	306	389	474	864	169	381	21	11	380	85	—	—	—	—	—	—
2022	27	AAA	Syracuse Mets	—	329	292	64	15	2	9	32	73	4	7	1	219	305	377	682	158	262	22	10	307	49	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	18	ROK MLE	GCL Yankees1	—	215	194	40	7	3	4	17	63	2	4	2	206	277	335	612	129	282	29	8	275	72	—	—	—	—	—	—
2014	19	A MLE	Charleston RiverDogs	—	465	408	74	14	5	3	46	195	3	20	10	181	269	262	531	81	317	42	10	238	47	—	—	—	—	—	—
2015	20	A MLE	Charleston RiverDogs	—	149	131	17	2	0	1	11	69	0	8	2	130	197	168	365	38	229	46	7	164	-3	—	—	—	—	—	—
2015	20	ROK MLE	Pulaski Yankees	—	254	220	48	7	1	4	31	87	0	9	0	218	315	314	628	95	323	34	12	274	72	—	—	—	—	—	—
2016	21	A MLE	Charleston RiverDogs	—	253	227	43	10	3	1	17	87	4	6	1	189	258	273	531	84	282	34	7	230	42	—	—	—	—	—	—
2017	22	A+ MLE	Tampa Yankees	—	346	311	73	18	2	5	29	108	1	11	7	235	302	354	656	119	332	31	8	289	82	—	—	—	—	—	—
2018	23	AA MLE	Trenton Thunder	—	503	452	97	23	2	4	43	150	3	11	6	215	287	301	588	86	305	30	9	264	65	—	—	—	—	—	—
2019	24	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	307	277	64	8	0	9	27	98	2	8	4	231	304	357	661	126	319	32	9	291	83	—	—	—	—	—	—
2019	24	AA MLE	Trenton Thunder	—	108	100	21	2	1	0	7	36	0	3	1	210	262	250	512	40	317	33	6	232	43	—	—	—	—	—	—
2021	26	AAA MLE	El Paso Chihuahuas	—	402	363	90	20	3	5	33	105	2	8	4	248	314	361	675	113	327	26	8	294	85	—	—	—	—	—	—
2022	27	AAA MLE	Syracuse Mets	—	329	304	57	13	2	6	20	91	4	7	1	188	247	303	550	115	240	28	6	240	49	—	—	—	—	—	—
2013	18	ROK MLE	GCL Yankees1	—	215	194	40	7	3	4	17	63	2	4	2	206	277	335	612	129	281	29	8	275	72	—	—	—	—	—	—
2013	18	ROK RAW	GCL Yankees1	—	215	184	57	11	5	6	27	44	2	4	2	310	404	522	925	212	378	20	13	403	72	—	—	—	—	—	—
2014	19	A MLE	Charleston RiverDogs	—	465	408	74	14	5	3	46	195	3	20	10	181	269	262	531	81	332	42	10	238	47	—	—	—	—	—	—
2014	19	A RAW	Charleston RiverDogs	—	465	383	85	19	6	3	71	142	3	20	10	222	348	326	674	104	339	31	15	309	47	—	—	—	—	—	—
2015	20	ROK MLE	2 teams	—	403	351	64	8	1	5	42	156	0	17	2	182	270	254	523	71	307	39	10	233	44	—	—	—	—	—	—
2015	20	ROK RAW	2 teams	—	403	326	78	11	1	6	67	111	0	17	2	239	369	334	703	95	341	28	17	321	44	—	—	—	—	—	—
2016	21	A MLE	Charleston RiverDogs	—	253	227	43	10	3	1	17	87	4	6	1	189	258	273	531	84	298	34	7	230	42	—	—	—	—	—	—
2016	21	A RAW	Charleston RiverDogs	—	253	218	50	14	3	1	26	66	4	6	1	229	323	335	657	106	320	26	10	296	42	—	—	—	—	—	—
2017	22	A+ MLE	Tampa Yankees	—	346	311	73	18	2	5	29	108	1	11	7	235	302	354	656	119	340	31	8	289	82	—	—	—	—	—	—
2017	22	A+ RAW	Tampa Yankees	—	346	300	88	20	3	6	40	72	1	11	7	293	378	440	818	147	366	21	12	361	82	—	—	—	—	—	—
2018	23	AA MLE	Trenton Thunder	—	503	452	97	23	2	4	43	150	3	11	6	215	287	301	588	86	309	30	9	264	65	—	—	—	—	—	—
2018	23	AA RAW	Trenton Thunder	—	503	433	99	27	2	5	62	123	3	11	6	229	329	335	664	106	305	24	12	303	65	—	—	—	—	—	—
2019	24	AAA MLE	2 teams	—	415	377	84	10	1	9	34	133	2	11	5	223	291	326	617	103	318	32	8	276	73	—	—	—	—	—	—
2019	24	AAA RAW	2 teams	—	415	359	96	13	1	11	52	110	2	11	5	267	363	401	764	134	356	27	13	345	73	—	—	—	—	—	—
2021	26	AAA MLE	El Paso Chihuahuas	—	402	363	90	20	3	5	33	105	2	8	4	248	314	361	675	113	333	26	8	294	85	—	—	—	—	—	—
2021	26	AAA RAW	El Paso Chihuahuas	—	402	350	107	27	4	8	46	84	2	8	4	306	389	474	864	169	381	21	11	380	85	—	—	—	—	—	—
2022	27	AAA MLE	Syracuse Mets	—	329	304	57	13	2	6	20	91	4	7	1	188	247	303	550	115	246	28	6	240	49	—	—	—	—	—	—
2022	27	AAA RAW	Syracuse Mets	—	329	292	64	15	2	9	32	73	4	7	1	219	305	377	682	158	262	22	10	307	49	—	—	—	—	—	—
2013	18	ROK MLE	GCL Yankees1	—	215	194	40	7	3	4	17	63	2	4	2	206	277	335	612	129	282	29	8	275	72	—	—	—	—	—	—
2014	19	A MLE	Charleston RiverDogs	—	465	413	74	14	5	3	46	195	3	20	10	179	269	259	528	80	317	42	10	238	47	—	—	—	—	—	—
2015	20	ROK MLE	2 teams	—	403	358	64	8	1	5	42	156	0	17	2	179	270	249	518	70	288	39	10	233	44	—	—	—	—	—	—
2016	21	A MLE	Charleston RiverDogs	—	253	230	43	10	3	1	17	87	4	6	1	187	258	270	528	83	282	34	7	230	42	—	—	—	—	—	—
2017	22	A+ MLE	Tampa Yankees	—	346	313	73	18	2	5	29	108	1	11	7	233	302	351	653	118	332	31	8	289	82	—	—	—	—	—	—
2018	23	AA MLE	Trenton Thunder	—	503	452	97	23	2	4	43	150	3	11	6	215	287	301	588	86	305	30	9	264	65	—	—	—	—	—	—
2019	24	AAA MLE	2 teams	—	415	376	84	10	1	9	34	133	2	11	5	223	291	327	618	104	318	32	8	276	73	—	—	—	—	—	—
2021	26	AAA MLE	El Paso Chihuahuas	—	402	364	90	20	3	5	33	105	2	8	4	247	314	360	674	113	327	26	8	294	85	—	—	—	—	—	—
2022	27	AAA MLE	Syracuse Mets	—	329	302	57	13	2	6	20	91	4	7	1	189	247	305	552	116	240	28	6	240	49	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	3331	2987	622	123	22	42	281	1088	21	95	38	208	281	306	587	98	309	33	8	260	62	-150	+4	+1	+5	+72	-7.0
/ 162G	—	MLE		—	650	583	121	24	4	8	55	212	4	19	7	208	280	304	584	96	309	33	8	260	62	-29	+1	+0	+1	+14	-1.3

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.

2022 AAASyracuse Mets · 329 PAwOBA .296 → .240 (−57)K% 22.2% → 27.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.19%	÷0.961	×1.200	—	—	27.71%
BB% (unintentional) /PA	9.12%	÷1.019	×0.690	—	×0.992	6.13%
HBP% /PA	1.22%	—	×0.940	—	×0.992	1.13%
Singles /BIP	17.35%	÷0.953	×0.930	×0.991	×0.992	16.64%
Doubles /BIP	6.85%	÷0.951	×0.830	×0.991	×0.992	5.87%
Triples /BIP	0.91%	÷1.000	×0.970	×0.991	×0.992	0.87%
Home runs /BIP	4.11%	÷1.033	×0.700	—	×0.992	2.76%

Factors used: league row International League. Park (home-season share, regressed): HR 107, 1B 91, 2B 90, 3B 100, K 92, BB 104 — 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 ×0.991.

Result: wOBA .296 → .240; ISO .158 → .117; BABIP .262 → .240. 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).

2021 AAAEl Paso Chihuahuas · 402 PAwOBA .372 → .294 (−78)K% 20.9% → 26.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.90%	÷0.960	×1.200	—	—	26.12%
BB% (unintentional) /PA	11.44%	÷0.980	×0.690	—	×1.003	8.08%
HBP% /PA	0.50%	—	×0.940	—	×1.003	0.47%
Singles /BIP	25.56%	÷1.003	×0.930	×0.992	×1.003	23.59%
Doubles /BIP	10.15%	÷1.116	×0.830	×0.992	×1.003	7.51%
Triples /BIP	1.50%	÷1.099	×0.920	×0.992	×1.003	1.25%
Home runs /BIP	3.01%	÷1.154	×0.700	—	×1.003	1.83%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 131, 1B 101, 2B 123, 3B 120, K 92, BB 96 — 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 ×0.992.

Result: wOBA .372 → .294; ISO .169 → .116; BABIP .381 → .327. 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).

2019 AAAScranton/Wilkes-Barre RailRiders · 307 PAwOBA .359 → .291 (−69)K% 26.7% → 31.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.71%	÷1.007	×1.200	—	—	31.84%
BB% (unintentional) /PA	13.36%	÷1.066	×0.690	—	×1.033	8.93%
HBP% /PA	0.65%	—	×0.940	—	×1.033	0.63%
Singles /BIP	28.89%	÷1.019	×0.930	×0.950	×1.033	25.87%
Doubles /BIP	5.56%	÷1.009	×0.830	×0.950	×1.033	4.48%
Triples /BIP	0.00%	÷0.938	×0.970	×0.950	×1.033	0.00%
Home runs /BIP	6.11%	÷1.087	×0.840	—	×1.033	4.88%

Factors used: league row IL. Park (home-season share, regressed): HR 117, 1B 104, 2B 102, 3B 88, K 101, BB 113 — 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 ×0.950.

Result: wOBA .359 → .291; ISO .164 → .131; BABIP .367 → .319. 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).

2019 AATrenton Thunder · 108 PAwOBA .270 → .232 (−38)K% 25.9% → 33.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.93%	÷0.956	×1.220	—	—	33.08%
BB% (unintentional) /PA	9.26%	÷0.999	×0.700	—	×0.998	6.48%
HBP% /PA	0.00%	—	×0.850	—	×0.998	0.00%
Singles /BIP	27.54%	÷0.984	×0.970	—	×0.998	27.10%
Doubles /BIP	4.35%	÷1.040	×0.860	—	×0.998	3.59%
Triples /BIP	1.45%	÷0.937	×0.950	—	×0.998	1.47%
Home runs /BIP	0.00%	÷0.960	×0.780	—	×0.998	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 92, 1B 97, 2B 108, 3B 87, K 91, BB 100 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average).

Result: wOBA .270 → .232; ISO .052 → .044; BABIP .329 → .317. 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 AATrenton Thunder · 503 PAwOBA .295 → .264 (−31)K% 24.5% → 29.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.45%	÷1.002	×1.220	—	—	29.77%
BB% (unintentional) /PA	11.73%	÷0.972	×0.700	—	×1.012	8.55%
HBP% /PA	0.60%	—	×0.850	—	×1.012	0.51%
Singles /BIP	20.97%	÷0.954	×0.970	×1.030	×1.012	22.23%
Doubles /BIP	8.71%	÷1.042	×0.860	×1.030	×1.012	7.49%
Triples /BIP	0.65%	÷0.944	×0.950	×1.030	×1.012	0.68%
Home runs /BIP	1.61%	÷1.034	×0.780	—	×1.012	1.23%

Factors used: league row EL. Park (home-season share, regressed): HR 107, 1B 91, 2B 108, 3B 89, K 100, BB 94 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.030.

Result: wOBA .295 → .264; ISO .106 → .089; BABIP .305 → .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).

2017 A+Tampa Yankees · 346 PAwOBA .353 → .289 (−65)K% 20.8% → 31.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.81%	÷0.949	×1.420	—	—	31.14%
BB% (unintentional) /PA	11.27%	÷1.007	×0.750	—	×0.998	8.38%
HBP% /PA	0.29%	—	×0.930	—	×0.998	0.27%
Singles /BIP	25.88%	÷1.071	×0.920	×1.034	×0.998	22.92%
Doubles /BIP	8.77%	÷0.995	×0.960	×1.034	×0.998	8.73%
Triples /BIP	1.32%	÷1.031	×0.810	×1.034	×0.998	1.07%
Home runs /BIP	2.63%	÷0.949	×0.880	—	×0.998	2.44%

Factors used: league row FSL. Park (home-season share, regressed): HR 90, 1B 114, 2B 99, 3B 106, K 90, BB 101 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.034.

Result: wOBA .353 → .289; ISO .147 → .126; BABIP .366 → .332. 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 ACharleston RiverDogs · 253 PAwOBA .291 → .230 (−61)K% 26.1% → 34.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.09%	÷1.017	×1.340	—	—	34.39%
BB% (unintentional) /PA	10.28%	÷0.995	×0.660	—	—	6.81%
HBP% /PA	1.58%	—	×0.770	—	—	1.22%
Singles /BIP	21.05%	÷1.000	×0.920	×1.015	—	19.66%
Doubles /BIP	9.21%	÷1.145	×0.820	×1.015	—	6.69%
Triples /BIP	1.97%	÷0.930	×0.940	×1.015	—	2.03%
Home runs /BIP	0.66%	÷0.895	×0.820	—	—	0.60%

Factors used: league row SAL. Park (home-season share, regressed): HR 79, 1B 100, 2B 129, 3B 86, K 103, BB 99 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.

Result: wOBA .291 → .230; ISO .106 → .084; BABIP .320 → .282. 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 ROKPulaski Yankees · 254 PAwOBA .372 → .274 (−98)K% 24.0% → 34.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.02%	÷1.000	×1.420	—	—	34.10%
BB% (unintentional) /PA	19.29%	÷1.000	×0.640	—	×0.985	12.16%
HBP% /PA	0.00%	—	×0.740	—	×0.985	0.00%
Singles /BIP	30.50%	÷1.000	×0.840	×1.031	×0.985	26.02%
Doubles /BIP	6.38%	÷1.000	×0.740	×1.031	×0.985	4.80%
Triples /BIP	0.71%	÷1.000	×0.740	×1.031	×0.985	0.53%
Home runs /BIP	3.55%	÷1.000	×0.800	—	×0.985	2.79%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.031.

Result: wOBA .372 → .274; ISO .129 → .096; BABIP .390 → .323. 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).