Yoshi Tsutsugo

PosLF

B/TL/R

Born1991-11-26

Age (2027)35

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	29	AAAOklahoma City…	180	.257/.371/.507	10	0	92	—	.217/.297/.389
2021	29	MLBPIT	262	.217/.308/.383	8	0	97	-0.8
2022	30	AAATOR	154	.301/.430/.520	7	0	109	—	.248/.338/.398
2022	30	MLBPIT	193	.171/.254/.229	2	0	39	-1.8
2023	31	AAA/AASF	279	.260/.404/.457	10	3	87	—	.208/.314/.346
2024	32	No MLB games played
2025	33	No MLB games played
2026	34	No MLB games played

Last 3 seasons WAR -2.6

Contract

No contract data on file.

Skills · percentileStatcast 2020-2022

Avg EV56

Barrel%42

xwOBA31

Speed22

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)
2015	23	INTL	Leones del Escogido	—	40	34	7	0	1	0	5	8	1	1	0	206	325	265	590	59	269	20	12	282	77	—	—	—	—	—	—
2020	28	MLB	Tampa Bay Rays	—	185	157	31	5	1	8	26	50	1	0	0	197	315	395	710	197	230	27	14	319	100	+0	+0	-1	-2	+4	0.1
2021	29	MLB	Pittsburgh Pirates	—	262	230	50	12	1	8	29	72	1	0	1	217	308	383	690	165	278	27	11	309	97	-1	-0	-5	-8	+6	-0.8
2021	29	AAA	Oklahoma City Dodgers	—	180	148	38	7	0	10	26	32	1	0	0	257	371	507	878	250	252	18	14	376	92	—	—	—	—	—	—
2022	30	MLB	Pittsburgh Pirates	—	193	170	29	4	0	2	19	50	0	0	0	171	254	229	483	59	221	26	10	225	39	-14	+0	-2	-6	+4	-1.8
2022	30	AAA	Buffalo Bisons	—	154	123	37	6	0	7	28	41	0	0	1	301	430	520	951	220	385	27	18	412	109	—	—	—	—	—	—
2023	31	AAA	Sacramento River Cats	—	224	178	44	10	2	6	42	62	2	2	2	247	396	427	823	180	339	28	19	370	79	—	—	—	—	—	—
2023	31	AA	Richmond Flying Squirrels	—	55	45	14	0	0	4	10	17	0	1	1	311	436	578	1.014	267	417	31	18	443	120	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	640	557	110	21	2	18	74	172	2	0	1	197	294	339	633	142	247	27	12	286	80	-15	-0	-8	-16	+14	-2.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2020	28	MLB MLE	Tampa Bay Rays	—	185	158	31	5	1	8	25	50	1	0	0	196	310	392	702	196	230	27	14	316	100	+0	+0	-1	-2	+4	0.1
2021	29	MLB MLE	Pittsburgh Pirates	—	262	230	50	11	1	9	29	72	1	0	1	217	308	391	699	174	278	27	11	312	97	-1	-0	-5	-8	+6	-0.8
2021	29	AAA MLE	Oklahoma City Dodgers	—	180	157	34	6	0	7	17	39	1	0	0	217	297	389	686	172	226	22	9	304	92	—	—	—	—	—	—
2022	30	MLB MLE	Pittsburgh Pirates	—	193	170	29	4	0	2	19	50	0	0	0	171	254	229	483	59	221	26	10	226	39	-14	+0	-2	-6	+4	-1.8
2022	30	AAA MLE	Buffalo Bisons	—	154	133	33	5	0	5	18	48	0	0	1	248	338	398	736	150	331	31	12	330	109	—	—	—	—	—	—
2023	31	AAA MLE	Sacramento River Cats	—	224	192	38	8	2	4	28	69	2	2	2	198	306	323	629	125	276	31	12	285	79	—	—	—	—	—	—
2023	31	AA MLE	Richmond Flying Squirrels	—	55	48	12	0	0	3	7	21	0	1	1	250	345	438	783	188	377	38	13	346	120	—	—	—	—	—	—
2015	23	INTL MLE	Leones del Escogido	—	40	34	7	0	1	0	5	8	1	1	0	206	325	265	590	59	269	20	12	—	—	—	—	—	—	—	—
2015	23	INTL RAW	Leones del Escogido	—	40	34	7	0	1	0	5	8	1	1	0	206	325	265	590	59	269	20	12	282	77	—	—	—	—	—	—
2020	28	MLB MLE	Tampa Bay Rays	—	185	158	31	5	1	8	25	50	1	0	0	196	310	392	702	196	228	27	14	316	100	+0	+0	-1	-2	+4	0.1
2020	28	MLB RAW	Tampa Bay Rays	—	185	157	31	5	1	8	26	50	1	0	0	197	315	395	710	197	230	27	14	319	100	+0	+0	-1	-2	+4	0.1
2021	29	MLB MLE	2 teams	—	442	387	85	18	1	16	46	111	2	0	1	220	306	395	701	176	259	25	10	309	95	-3	-0	-5	-8	+10	-0.6
2021	29	MLB RAW	2 teams	—	442	378	88	19	1	18	55	104	2	0	1	233	333	431	765	198	267	24	12	336	95	-3	-0	-5	-8	+10	-0.6
2022	30	MLB MLE	2 teams	—	347	303	62	9	0	7	37	98	0	0	1	205	291	304	595	99	268	28	11	272	70	-12	-0	-2	-6	+8	-1.3
2022	30	MLB RAW	2 teams	—	347	293	66	10	0	9	47	91	0	0	1	225	332	352	684	126	285	26	14	308	70	-12	-0	-2	-6	+8	-1.3
2023	31	AAA MLE	2 teams	—	279	240	50	8	2	7	35	89	2	3	3	208	314	346	660	137	295	32	13	297	87	—	—	—	—	—	—
2023	31	AAA RAW	2 teams	—	279	223	58	10	2	10	52	79	2	3	3	260	404	457	862	197	353	28	19	384	87	—	—	—	—	—	—
2020	28	MLB MLE	Tampa Bay Rays	—	185	157	31	5	1	8	25	50	1	0	0	197	310	395	705	197	230	27	14	316	100	—	—	—	—	—	—
2021	29	MLB MLE	2 teams	—	442	391	85	18	1	16	46	111	2	0	1	217	306	391	697	174	257	25	10	309	95	—	—	—	—	—	—
2022	30	MLB MLE	2 teams	—	347	307	62	9	0	7	37	98	0	0	1	202	291	300	591	98	270	28	11	272	70	—	—	—	—	—	—
2023	31	AAA MLE	2 teams	—	279	240	50	8	2	7	35	89	2	3	3	208	314	346	660	137	296	32	13	297	87	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	640	557	110	21	2	18	74	172	2	0	1	197	294	339	633	142	247	27	12	286	81	-15	-0	-8	-16	+14	-2.6
/ 162G	—	A+C		—	650	566	111	21	2	18	75	175	2	0	1	196	292	336	628	140	245	27	12	286	81	-16	-0	-8	-16	+14	-2.7
Career	—	MLE		—	1293	1122	235	40	5	38	148	356	6	4	5	209	305	356	660	146	265	28	11	288	81	-15	-0	-8	-16	+14	-2.6
/ 162G	—	MLE		—	650	564	118	20	3	19	74	179	3	2	3	209	304	356	661	147	265	28	11	288	81	-16	-0	-8	-16	+14	-2.7

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.

2023 AAASacramento River Cats · 224 PAwOBA .364 → .285 (−80)K% 27.7% → 30.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.68%	÷1.087	×1.200	—	—	30.56%
BB% (unintentional) /PA	18.75%	÷0.981	×0.690	—	×0.952	12.56%
HBP% /PA	0.89%	—	×0.940	—	×0.952	0.80%
Singles /BIP	22.41%	÷0.992	×0.930	×0.950	×0.952	19.00%
Doubles /BIP	8.62%	÷0.992	×0.830	×0.950	×0.952	6.52%
Triples /BIP	1.72%	÷0.956	×0.970	×0.950	×0.952	1.58%
Home runs /BIP	5.17%	÷1.057	×0.700	—	×0.952	3.26%

Factors used: league row International League. Park (home-season share, regressed): HR 111, 1B 98, 2B 98, 3B 91, K 117, BB 96 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .364 → .285; ISO .180 → .137; BABIP .339 → .276. 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).

2023 AARichmond Flying Squirrels · 55 PAwOBA .431 → .346 (−85)K% 30.9% → 37.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.91%	÷0.995	×1.220	—	—	37.92%
BB% (unintentional) /PA	18.18%	÷0.985	×0.700	—	×0.940	12.15%
HBP% /PA	0.00%	—	×0.850	—	×0.940	0.00%
Singles /BIP	35.71%	÷0.978	×0.970	—	×0.940	33.31%
Doubles /BIP	0.00%	÷1.003	×0.860	—	×0.940	0.00%
Triples /BIP	0.00%	÷0.900	×0.950	—	×0.940	0.00%
Home runs /BIP	14.29%	÷0.906	×0.780	—	×0.940	11.56%

Factors used: league row EL. Park (home-season share, regressed): HR 81, 1B 96, 2B 101, 3B 80, K 99, BB 97 — applied at half strength. Age: age 32 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (7.2 yr older than average).

Result: wOBA .431 → .346; ISO .267 → .212; BABIP .417 → .377. 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).

2022 AAABuffalo Bisons · 154 PAwOBA .410 → .330 (−81)K% 26.6% → 31.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.62%	÷1.018	×1.200	—	—	31.39%
BB% (unintentional) /PA	18.18%	÷1.032	×0.690	—	×0.962	11.69%
HBP% /PA	0.00%	—	×0.940	—	×0.962	0.00%
Singles /BIP	29.27%	÷0.960	×0.930	×0.972	×0.962	26.50%
Doubles /BIP	7.32%	÷0.984	×0.830	×0.972	×0.962	5.77%
Triples /BIP	0.00%	÷1.149	×0.970	×0.972	×0.962	0.00%
Home runs /BIP	8.54%	÷0.951	×0.700	—	×0.962	6.04%

Factors used: league row International League. Park (home-season share, regressed): HR 90, 1B 92, 2B 97, 3B 130, K 104, BB 106 — 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 ×0.972.

Result: wOBA .410 → .330; ISO .220 → .170; BABIP .385 → .331. 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 AAAOklahoma City Dodgers · 180 PAwOBA .377 → .304 (−73)K% 17.8% → 21.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.78%	÷0.994	×1.200	—	—	21.45%
BB% (unintentional) /PA	14.44%	÷1.015	×0.690	—	×0.972	9.55%
HBP% /PA	0.56%	—	×0.940	—	×0.972	0.51%
Singles /BIP	18.10%	÷0.958	×0.930	×0.996	×0.972	17.02%
Doubles /BIP	6.03%	÷0.941	×0.830	×0.996	×0.972	5.16%
Triples /BIP	0.00%	÷0.900	×0.920	×0.996	×0.972	0.00%
Home runs /BIP	8.62%	÷1.016	×0.700	—	×0.972	5.77%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 103, 1B 92, 2B 88, 3B 80, K 99, BB 103 — 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 ×0.996.

Result: wOBA .377 → .304; ISO .250 → .187; BABIP .252 → .226. 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 — .