Kazuma Okamoto

3B Toronto Blue Jays

Age 31 R/R 6'1" / 220 lbs MLB Svc 1.000 · Ctrl thru 2029

Overview

MLB40-MANExtFA 2030

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2016	20	INTLGigantes de C…	130	.257/.352/.330	0	0	93	—
2026	30	MLBTOR	636	.232/.311/.452	33	1	113	2.5
2027PROJ	31	MLBTOR	502	.228/.308/.441	25	2	109	1.5
2028PROJ98% MLB	32	MLBTOR	560	.221/.301/.426	27	2	103	1.0
2029PROJ98% MLB	33	MLBTOR	457	.213/.292/.407	21	1	95	0.3

Last 2 seasons WAR 2.5 · Next 3 projected WAR 2.8Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2029Service1.000First FA2030

2027Ext$15M2028Ext$15M2029Ext$15M

Skills · percentileStatcast 2026

Barrel%83

Avg EV72

Bat Spd69

xwOBA67

Speed27

Form.237/.330/.468 ▲▲ rolling true talent (60d window) · proj .227/.305/.440

CompsDavid Ross (age 31) · Tom Murphy (age 31) · Eugenio Suárez (age 31)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 112109vR 98

AVG/OBP/SLG.228 / .308 / .441

PA502

HR25

K%27

BB%9

BABIP267

ISO216

MLB%100%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$21M ctrl surplus

Tools · Recent Form · Splits · ContractCON 37 / POW 64

Toolsscout grade · Statcast %ile · 2026

CONTACT37

xAVG

170.224

POWER64

Barrel%

8313.1

Avg EV

7290.6

Bat Spd

6973.3

EYE80

scouting grade only

SPEED44

Sprint

2726.4

Recent Formrolling true talent ⓘ

K%25%▲▲24% over 101 PA (60d) · proj 27%

BB%11%▲▲14% over 101 PA (60d) · proj 9%

ISO.231▲.264 over 87 AB (60d) · proj .213

HR/BB8.5%·9.5% over 63 BBE (60d) · proj 7.9%

BABIP.267·.281 over 57 BIP (60d) · proj .266

SLASH.237/.330/.468▲▲proj .227/.305/.440

Platoon Splits2026 · 105 PA

vs LHP

vs RHP

Edge

—

wRC+

166

◀◀L

wOBA

414

307

◀◀L

ISO

150

192

▶▶R

BABIP

429

275

◀◀L

21.7%

35.4%

◀◀L

BB%

13.0%

11.0%

◀◀L

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

Status Pre-Arb

MLB Debut 2026

Service 1.000 yrs.days

Team Control Through 2029

First FA Year 2030

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext	$15M	+1.7	$14M	-$1M
2028	Ext	$15M	+1.0	$7M	-$6M
2029	Ext	$15M	+0.3	$1M	-$11M
Totals		$45M		$22M	-$19M

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)
2016	20	INTL	Gigantes de Carolina	—	130	109	28	8	0	0	13	21	3	0	2	257	352	330	682	73	308	16	10	305	93	—	—	—	—	—	—
2026	30	MLB	Toronto Blue Jays	—	636	568	132	26	0	33	59	183	6	1	1	232	311	452	764	220	279	29	9	336	113	+10	-0	-1	+2	+14	2.5
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	636	568	132	26	0	33	59	183	6	1	1	232	311	452	764	220	279	29	9	336	114	+10	-0	-1	+2	+14	2.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	30	MLB MLE	Toronto Blue Jays	—	636	568	132	26	0	33	59	183	6	1	1	232	311	452	764	220	279	29	9	336	113	+10	-0	-1	+2	+14	2.5
2016	20	INTL MLE	Gigantes de Carolina	—	130	109	28	8	0	0	13	21	3	0	2	257	352	330	682	73	308	16	10	—	—	—	—	—	—	—	—
2016	20	INTL RAW	Gigantes de Carolina	—	130	109	28	8	0	0	13	21	3	0	2	257	352	330	682	73	308	16	10	305	93	—	—	—	—	—	—
2026	30	MLB MLE	Toronto Blue Jays	—	636	568	132	26	0	33	59	183	6	1	1	232	311	452	764	220	279	29	9	336	113	+10	-0	-1	+2	+14	2.5
2026	30	MLB RAW	Toronto Blue Jays	—	636	568	132	26	0	33	59	183	6	1	1	232	311	452	764	220	279	29	9	336	113	+10	-0	-1	+2	+14	2.5
2026	30	MLB MLE	Toronto Blue Jays	—	636	566	132	26	0	33	59	183	6	1	1	233	311	454	765	221	279	29	9	336	113	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	30	MLB MLE	Toronto Blue Jays	—	636	566	132	26	0	33	59	183	6	1	1	233	311	454	765	221	279	29	9	336	113	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	31	MLB MLE	TOR	100%	569	505	115	22	1	28	53	155	6	3	1	227	307	440	748	213	266	27	9	329	109	+6	+0	-3	+2	+12	1.7
▸ 2027 — real world (MLB)
2027	31	MLB CTX	TOR	100%	502	445	102	19	1	25	47	137	5	2	1	228	308	441	749	213	267	27	9	329	109	+5	+0	-3	+2	+11	1.5
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	32	MLB MLE	TOR	98%	571	509	112	21	1	27	52	158	5	2	1	221	300	425	726	204	260	28	9	320	103	+2	+0	-7	+2	+12	1.0
2029	33	MLB MLE	TOR	98%	466	417	88	16	0	21	42	132	4	1	0	213	291	407	698	194	252	28	9	309	95	-3	+0	-7	+2	+10	0.3
2030	34	MLB MLE	TOR	94%	386	346	70	12	0	17	34	112	3	1	0	203	280	385	665	182	243	29	9	295	86	-6	+0	-7	+1	+8	-0.4
2028	32	MLB CTX	TOR	98%	560	499	111	21	1	27	51	155	5	2	1	221	301	426	727	204	261	28	9	320	103	+2	+0	-6	+2	+12	1.0
2029	33	MLB CTX	TOR	98%	457	409	87	16	0	21	41	129	4	1	0	213	292	407	699	194	253	28	9	309	95	-3	+0	-7	+2	+10	0.3
2030	34	MLB CTX	TOR	94%	361	323	66	11	0	16	32	105	3	1	0	203	281	385	666	182	243	29	9	296	86	-6	+0	-7	+1	+8	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2014	1799	396	74	1	97	183	572	18	5	2	220	298	424	723	204	262	28	9	318	92	+3	+0	-20	+7	+44	3.4
/ 162G	—	A+C		—	650	581	127	24	0	31	59	185	6	2	1	219	297	420	717	201	261	28	9	318	92	+1	+0	-7	+2	+14	1.1
Career	—	MLE		—	2691	2394	533	103	2	123	247	743	26	7	5	223	302	421	724	199	266	28	9	304	92	+8	+0	-24	+9	+55	5.0
/ 162G	—	MLE		—	650	578	129	25	0	30	60	179	6	2	1	223	303	422	725	199	265	28	9	304	92	+2	+0	-6	+2	+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.

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Travis Shawlast yr '21 career totals — 7 seasons, 2,671 PA	4.0	2,671	114	20	239	322	441	+4	+6	13.4	13.4
/162	664	28	5	+1.1	+1.6	3.3	pk7: 13
#2Jack Howell'85-'99 * career totals — 9 seasons, 2,982 PA	4.5	2,982	108	14	236*	317*	441*	-0	+15	13.0	12.6
/162	664	24	3	-0.1	+3.4	2.9	pk7: 12
#3Trevor Plouffelast yr '17 career totals — 7 seasons, 3,178 PA	4.8	3,178	103	12	243	306	411	+14	-18	8.4	8.4
/162	664	22	3	+2.8	-3.8	1.8	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.8	2,515	121	8	222	298	428	+9	-3	8.0	8.0
/162	664	32	2	+2.4	-0.8	2.1	pk7: 8
#4Willie Greene'92-'00 * career totals — 7 seasons, 2,183 PA	3.3	2,183	86	17	225*	313*	415*	-4	+5	5.9	6.5
/162	664	26	5	-1.1	+1.5	1.8	pk7: 7
#5Leo Gomez'90-'96 * career totals — 6 seasons, 2,238 PA	3.4	2,238	79	4	238*	329*	430*	+5	-20	6.2	6.2
/162	664	23	1	+1.4	-6.1	1.8	pk7: 6
#6Tim Beckhamlast yr '19 career totals — 5 seasons, 1,743 PA	2.6	1,743	63	13	248	301	431	+19	-13	6.1	6.1
/162	664	24	5	+7.1	-4.8	2.3	pk7: 6

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
Kazuma Okamoto (OGILVIE)	31	37	64	44	80	225/305/437	211	266	25	2	27%	9%	109	+1.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕David Ross 2008 · MLB	31	39	61→60	46→45	47	221/287/436	215	247	30	2	26%	8%	101	+1.4	232/321/408	176	287	20	3	25%	11%	106	+1.8	269/361/462	194	343	20	0	25%	12%	134	+1.0
✕Tom Murphy 2022 · MLB	31	44→38	55→65	47→45	51	230/315/408	179	296	24	4	30%	11%	105	+1.7	247/326/430	183	325	22	5	29%	10%	114	+2.3	287/337/536	249	358	31	0	28%	6%	143	+1.2
●Eugenio Suárez 2022 · MLB	31	37→47	63→65	42→50	50	215/304/447	232	250	32	3	29%	10%	110	+2.1	232/320/434	202	298	27	2	30%	10%	113	+2.3	235/313/459	224	288	32	2	29%	8%	117	+2.8
✕Shelley Duncan 2010 · MLB	30	40→44	58→60	48→45	49	224/293/424	200	249	27	5	23%	8%	100	+1.3	225/297/405	180	263	23	4	24%	8%	97	+1.1	218/295/394	176	253	23	2	24%	9%	94	+0.5
●Todd Frazier 2018 · MLB	32	40→50	60	45→50	55	224/318/440	216	241	29	9	22%	11%	114	+2.3	232/319/417	185	268	24	7	23%	10%	108	+1.9	234/315/410	176	275	22	6	23%	8%	106	+1.2
✕Gary Sánchez 2024 · MLB	31	38→48	57→65	48→45	48	210/294/404	194	251	26	3	28%	9%	97	+1.1	227/316/417	190	271	26	3	26%	10%	107	+1.9	221/325/412	190	258	26	0	25%	11%	110	+0.8
✕Hunter Renfroe 2023 · MLB	31	45→47	62→65	41→45	47	250/310/479	229	276	31	3	23%	8%	119	+2.7	236/300/416	180	271	22	3	22%	8%	101	+1.4	225/292/387	162	260	19	1	21%	8%	91	+0.4
✕Adam Hyzdu 2003 · MLB	31	44→41	63→50	43→45	51	245/322/474	229	272	32	5	24%	10%	122	+3.0	233/318/407	174	290	21	6	26%	11%	105	+1.7	203/282/341	139	253	16	5	26%	10%	76	-0.4
●Adam Duvall 2020 · MLB	31	38→45	63→70	44→45	44	223/287/457	233	251	32	4	27%	7%	106	+1.8	229/289/477	248	263	36	4	29%	7%	112	+2.2	223/282/469	245	269	35	4	32%	6%	108	+1.3
●Chris Carter 2018 · MLB	31	37→47	61→65	44→45	48	211/303/431	220	275	30	3	34%	10%	106	+1.8	209/302/443	234	273	32	4	35%	11%	108	+1.9	190/293/441	251	231	36	2	35%	12%	104	+1.2
✕DJ Stewart 2024 · MLB	30	40→49	58→60	45→50	50	220/314/418	198	262	27	4	28%	10%	107	+1.8	196/297/342	146	262	18	8	31%	11%	84	+0.1	155/276/261	106	216	14	8	32%	12%	58	-0.7
✕Roberto Pérez 2020 · MLB	31	41→42	55	46→30	49	222/302/401	179	277	24	3	29%	10%	98	+1.2	210/294/362	152	282	20	4	31%	10%	86	+0.3	156/250/263	108	214	15	2	33%	10%	49	-0.6
✕Kyle Higashioka 2022 · MLB	32	38→43	59→60	46→45	43	215/269/420	204	248	28	4	27%	7%	91	+0.6	225/272/406	181	265	25	4	25%	6%	88	+0.4	230/276/419	189	272	26	4	26%	6%	93	+0.4
✕Ryan Schimpf 2018 · MLB	30	32→41	61→60	41→45	47	193/285/415	222	243	30	2	34%	10%	96	+1.0	192/274/360	168	303	21	7	41%	9%	79	-0.2	111/192/223	112	218	10	4	50%	8%	15	-1.0
●Mark Reynolds 2015 · MLB	31	38→48	56→65	45→50	51	211/299/392	181	259	25	6	29%	10%	95	+1.0	240/320/414	174	308	22	4	28%	10%	107	+1.9	250/332/426	176	324	22	2	28%	10%	117	+2.1
✕Donnie Murphy 2013 · MLB	30	42→40	57→65	48→45	43	226/288/428	202	267	24	5	26%	6%	99	+1.3	209/272/367	158	261	20	6	28%	6%	79	-0.2	193/257/332	140	240	18	4	28%	6%	64	-0.6
✕Pedro Álvarez 2017 · MLB	30	44→48	62→65	47→45	49	242/309/464	222	279	31	5	26%	9%	116	+2.5	226/278/410	184	274	26	3	27%	7%	91	+0.7	213/260/384	171	257	25	1	28%	6%	76	-0.3
✕Jordan Luplow 2023 · MLB	29	36→46	60→65	45→50	53	208/299/422	214	230	29	8	26%	11%	103	+1.5	212/290/368	156	253	19	13	24%	9%	86	+0.3	198/278/331	132	238	16	15	24%	8%	72	-0.3
✕Miguel Sanó 2024 · MLB	31	41→51	58→70	48→45	48	221/304/424	203	292	27	7	33%	10%	105	+1.7	227/303/364	137	334	16	7	34%	8%	90	+0.6	203/284/307	103	325	13	0	38%	8%	69	-0.2
★Kyle Schwarber 2024 · MLB	31	34→44	67→70	45	59	211/330/472	261	235	37	4	29%	14%	125	+3.2	228/345/482	254	268	36	5	29%	14%	132	+3.7	231/350/489	258	271	37	5	29%	14%	136	+4.7

Kazuma Okamoto

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps