Thomas Takayoshi

Thomas TakayoshiC ACL Athletics

Age 25 S/R 6'1" / 190 lbs ROK HR -5% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION75 act + 9 ros · stats below = ROS only

showingROS

wRC+†60

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP299

ISO89

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · Contract

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$0.0M

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. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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)
2025	24	A	Stockton Ports	—	143	131	29	1	0	1	10	50	2	0	0	221	287	252	539	31	350	35	7	253	58	-7	+0	—	—	+3	-0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	24	A MLE	Stockton Ports	—	143	134	23	1	0	1	7	66	2	0	0	172	224	201	425	30	321	46	5	186	12	-15	+0	—	—	+3	-1.2
2025	24	A MLE	Stockton Ports	—	143	134	23	1	0	1	7	66	2	0	0	172	224	201	425	30	328	46	5	186	12	—	—	—	—	—	—
2025	24	A RAW	Stockton Ports	—	143	131	29	1	0	1	10	50	2	0	0	221	287	252	539	31	350	35	7	253	12	—	—	—	—	—	—
2025	24	A MLE	Stockton Ports	—	143	133	23	1	0	1	7	66	2	0	0	173	224	203	427	30	321	46	5	186	12	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	24	A MLE	Stockton Ports	—	143	133	23	1	0	1	7	66	2	0	0	173	224	203	427	30	321	46	5	186	12	—	—	—	—	—	—
YTD	25	ROK MLE	OAK	—	75	64	13	2	0	1	9	25	2	0	1	203	320	281	601	78	316	33	12	273	71	-3	-0	+0	+1	+2	-0.0
▸ 2026 season
YTD	25	ROK RAW	OAK	—	43	36	13	3	0	1	7	7	0	0	0	361	465	528	993	167	429	16	16	441	71	—	—	—	—	—	—
YTD	25	A RAW	OAK	—	32	24	4	0	0	0	6	11	2	0	1	167	375	167	542		308	34	19	290	71	—	—	—	—	—	—
ROS	25	ROK MLE	OAK	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		294	33	11	257	60	-0	+0	+0	+0	+0	-0.0
TOT	25	ROK MLE	OAK	—	84	72	14	2	0	1	10	28	2	0	1	194	310	264	573	69	302	33	12	271	70	-3	-0	+0	+2	+2	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	26	MLB MLE	OAK	30%	183	165	34	5	1	3	14	59	2	2	1	206	276	303	579	97	294	32	8	265	65	-8	+0	+0	+3	+4	-0.0
2028	27	MLB MLE	OAK	42%	258	233	49	8	1	5	20	81	3	3	1	210	281	318	599	107	294	31	8	269	68	-10	+0	+0	+5	+6	0.1
2029	28	MLB MLE	OAK	48%	309	277	58	9	1	6	25	96	4	3	1	209	284	314	598	105	293	31	8	271	70	-11	+0	-1	+6	+7	0.1
2030	29	MLB MLE	OAK	49%	335	301	62	10	1	6	27	104	4	3	1	206	280	306	586	100	292	31	8	270	69	-12	+0	-1	+6	+7	-0.0
2031	30	MLB MLE	OAK	50%	352	316	64	10	1	6	29	110	4	3	1	203	278	297	575	95	291	31	8	268	67	-14	+0	-2	+6	+8	-0.2
2027	26	MLB CTX	OAK	30%	55	50	11	2	0	1	4	18	1	1	0	220	291	320	611	100	300	33	7	258	65	-2	+0	+0	+1	+1	0.0
2028	27	MLB CTX	OAK	42%	107	97	20	3	0	2	8	34	1	1	0	206	274	299	573	93	299	32	7	263	68	-4	+0	+0	+2	+2	0.0
2029	28	MLB CTX	OAK	48%	147	132	29	5	1	3	12	46	2	1	1	220	295	341	635	121	299	31	8	265	70	-5	-0	-0	+3	+3	-0.0
2030	29	MLB CTX	OAK	49%	165	149	32	5	1	3	13	51	2	2	1	215	287	322	609	107	298	31	8	264	69	-6	+0	-1	+3	+4	-0.0
2031	30	MLB CTX	OAK	50%	177	159	34	6	1	3	14	55	2	1	1	214	286	321	606	107	296	31	8	262	67	-7	-0	-1	+3	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	651	587	126	21	3	12	51	204	8	6	3	215	286	322	608	107	304	31	8	263	63	-25	+0	-2	+12	+14	-0.1
/ 162G	—	A+C		—	650	586	126	21	3	12	51	204	8	6	3	215	287	323	609	108	305	31	8	263	63	-25	+0	-2	+12	+14	-0.1
Career	—	MLE		—	1589	1434	291	43	5	27	123	519	19	14	5	203	275	296	571	93	295	33	8	261	63	-55	+1	-4	+26	+31	-0.1
/ 162G	—	MLE		—	650	587	119	18	2	11	50	212	8	6	2	203	274	296	571	94	294	33	8	261	63	-25	+0	-2	+12	+14	-0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#2Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#3Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#4Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	1.1	759	13	7	207	276	308	+14	+12	0.4	0.5
/162	664	11	7	+11.9	+10.5	0.4	pk7: 1
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Thomas Takayoshi (OGILVIE)	25	—	—	—	—	198/270/285	87	294	2	1	33%	8%	60	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕JJ Schwarz 2021 · A	25	38	41→45	48→30	43	190/254/280	91	265	9	6	31%	7%	52	-2.2	214/281/329	115	298	12	3	30%	8%	73	-0.6	208/278/322	114	287	13	1	30%	9%	68	-0.5
✕Chase Simpson 2017 · A	25	40→38	43→45	51→45	44	196/268/315	118	277	10	5	32%	8%	65	-1.2	196/254/311	115	290	11	7	34%	7%	59	-1.7	132/172/240	108	193	12	3	39%	4%	10	-1.2
✕Jan Vázquez 2016 · AA	25	41	41→40	43→45	42	201/271/296	95	285	8	7	31%	7%	62	-1.4	218/291/312	94	290	7	9	26%	7%	74	-0.6	215/293/302	88	284	7	7	25%	7%	69	-0.3
✕Jerome Pena 2014 · A	25	39→34	39→40	46→45	41	191/251/276	85	280	7	8	33%	7%	49	-2.4	204/261/305	101	324	8	8	37%	7%	59	-1.6	189/252/304	115	318	10	7	41%	7%	54	-0.7
✕Patrick Dorrian 2021 · A	25	42→38	42→50	51→45	40	204/259/318	114	293	9	7	32%	6%	62	-1.4	196/263/336	140	295	16	6	37%	8%	69	-0.9	185/255/332	147	273	18	5	38%	8%	61	-1.0
✕James Free 2022 · A	24	41→45	40→45	48→30	43	195/266/289	94	298	7	6	35%	8%	58	-1.7	221/276/340	119	295	13	3	28%	7%	74	-0.6	226/281/354	129	289	16	1	27%	6%	77	-0.2
✕Taylor Gushue 2018 · A	24	36	44→45	44→30	39	187/238/295	107	252	13	2	31%	5%	49	-2.4	204/255/330	126	276	14	3	30%	6%	64	-1.3	199/260/327	128	276	15	0	32%	7%	64	-0.6
✕Jackson Cluff 2022 · AA	25	40→30	40→45	49→60	38	194/261/281	86	283	7	12	32%	5%	55	-1.9	180/256/281	101	278	9	16	36%	8%	53	-2.1	179/271/301	122	264	12	28	34%	10%	62	-0.8
✕Jose Sermo 2016 · A	25	43→36	41→55	46→50	36	203/252/297	94	322	8	10	38%	6%	55	-2.0	208/251/352	144	351	16	11	43%	5%	67	-1.1	192/233/343	152	330	17	11	45%	5%	58	-0.9
✕Michael Papierski 2021 · A	25	38→44	39→40	39→40	47	188/273/268	81	267	8	5	31%	9%	57	-1.8	205/290/300	95	270	9	3	25%	9%	71	-0.8	200/288/293	93	258	9	0	25%	10%	66	-0.6
✕David Lyon 2015 · A	25	35	44→45	47→30	36	179/238/295	116	288	11	4	40%	6%	49	-2.4	175/245/304	129	303	14	4	44%	8%	55	-2.0	129/214/265	135	216	17	1	46%	9%	33	-1.1
✕Chadd Krist 2015 · A	25	40	41→40	44→45	42	196/258/292	96	269	8	6	29%	7%	56	-1.9	194/248/291	97	281	9	6	32%	6%	52	-2.2	151/202/238	87	213	10	0	34%	5%	19	-1.4
✕Drake Osborn 2023 · A	25	40	43→45	49→40	42	200/265/310	110	270	11	6	29%	7%	63	-1.4	190/246/297	107	260	12	4	31%	6%	53	-2.1	179/234/280	101	242	12	2	31%	5%	42	-1.3
✕Devin Thomas 2009 · A	24	40	42→45	48→40	42	191/269/289	99	298	9	11	37%	8%	61	-1.5	209/269/309	100	347	7	7	39%	7%	64	-1.3	206/262/309	104	353	6	3	41%	6%	58	-0.9
✕Chris Kroski 2007 · A	25	41	41→45	49→40	38	201/251/297	96	288	8	5	32%	5%	54	-2.0	214/274/329	115	283	9	4	26%	6%	71	-0.8	219/286/355	136	281	11	0	25%	7%	81	-0.0
✕Shane Matheny 2021 · A	25	38→41	41→45	44→50	37	187/244/280	92	294	9	4	38%	6%	48	-2.5	198/275/313	115	315	12	8	38%	9%	68	-1.0	190/280/310	120	295	13	9	37%	10%	67	-0.7
✕Blake Hunt 2023 · AA	24	38	42→45	50→40	39	192/251/296	104	277	10	5	33%	6%	55	-2.0	208/265/332	124	274	13	5	28%	6%	68	-1.0	208/275/351	144	265	17	1	28%	7%	74	-0.2
✕Chris Williams 2022 · AA	25	37→32	44→55	50→40	44	178/267/295	117	306	11	6	42%	10%	61	-1.5	191/270/355	164	283	21	5	38%	9%	76	-0.4	176/260/345	169	249	23	4	38%	9%	68	-0.7
✕Donny Sands 2021 · A	25	41	38→45	45→40	40	197/249/279	82	279	5	5	30%	6%	49	-2.4	228/286/347	119	277	13	4	22%	7%	79	-0.2	224/286/336	112	273	12	2	22%	8%	74	-0.3
✕Dylan Neuse 2023 · A	24	36	39→40	49→50	44	177/255/257	79	269	8	14	35%	9%	48	-2.5	207/287/299	92	295	7	12	29%	9%	69	-0.9	212/301/305	93	294	5	13	27%	10%	75	-0.3

Career Stats + Projections

Career Comps

Career Path Comps