Shotaro Morii

SS Stockton Ports

Age 20 L/R 6'0" / 190 lbs A HR -5% Svc 0.0 · Ctrl thru 2036

Overview

APROSPECTMiLBFA 2037

OGV OFP35OGV rank#831ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	18	ROKOAK	188	.258/.401/.384	3	4	50	—	.165/.267/.244
2026	19	AOAK	207	.227/.330/.369	4	5	51	—	.180/.261/.290
2027PROJMLE	20	MLBOAK	317	.211/.282/.329	6	5	73	0.2
2028PROJ34% MLB	21	MLBOAK	59	.222/.294/.354	1	1	79	0.0
2029PROJ48% MLB	22	MLBOAK	134	.226/.298/.365	3	2	83	0.1

Next 3 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$3M+2

Skills · percentileMiLB Statcast 2025 Rk

BB%85

ISO66

wOBA64

wRC+64

Chase%45

Speed45

Career WAR0.0 WAR median (P10 -0.3 / P90 2.7, comp-based) · star 0% · didn't stick 91%

CompsHoy Park (age 20) · Carlos Jimenez (age 20) · Carter Jensen (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 120 proj PA

wRC+†73

AVG/OBP/SLG.209 / .280 / .326

PA120

HR2

K%29

BB%8

ISO118

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$15M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.5	$1M	+$0.9M
2032	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2033	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2034	Arb-1	$3M	+0.6	$1M	+$0.2M
2035	Arb-2	$4M	+0.5	$1M	+$0.0M (cut)
2036	Arb-3	$4M	+0.3	$0.6M	+$0.0M (cut)
Totals		$5M		$8M	+$3M

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)
2025	18	ROK	ACL Athletics	—	188	151	39	8	1	3	36	47	0	4	3	258	401	384	785	126	353	25	19	360	50	—	—	—	—	—	—
2026	19	A	Stockton Ports	—	207	176	40	7	3	4	23	61	4	5	3	227	330	369	699	142	316	29	11	312	51	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	18	ROK MLE	ACL Athletics	—	188	164	27	5	1	2	23	69	0	4	3	165	267	244	511	79	268	37	12	242	50	—	—	—	—	—	—
2026	19	A MLE	Stockton Ports	—	207	183	33	5	3	3	16	83	4	5	3	180	261	290	551	109	288	40	8	244	51	—	—	—	—	—	—
2025	18	ROK MLE	ACL Athletics	—	188	164	27	5	1	2	23	69	0	4	3	165	267	244	511	79	266	37	12	242	50	—	—	—	—	—	—
2025	18	ROK RAW	ACL Athletics	—	188	151	39	8	1	3	36	47	0	4	3	258	401	384	785	126	353	25	19	360	50	—	—	—	—	—	—
2026	19	A MLE	Stockton Ports	—	207	183	33	5	3	3	16	83	4	5	3	180	261	290	551	109	300	40	8	244	51	—	—	—	—	—	—
2026	19	A RAW	Stockton Ports	—	207	176	40	7	3	4	23	61	4	5	3	227	330	369	699	142	316	29	11	312	51	—	—	—	—	—	—
2025	18	ROK MLE	ACL Athletics	—	188	163	27	5	1	2	23	69	0	4	3	166	267	245	513	80	268	37	12	242	50	—	—	—	—	—	—
2026	19	A MLE	Stockton Ports	—	207	185	33	5	3	3	16	83	4	5	3	178	261	286	548	108	288	40	8	244	51	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	18	ROK MLE	ACL Athletics	—	188	163	27	5	1	2	23	69	0	4	3	166	267	245	513	80	268	37	12	242	50	—	—	—	—	—	—
2026	19	A MLE	Stockton Ports	—	207	185	33	5	3	3	16	83	4	5	3	178	261	286	548	108	288	40	8	244	51	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	OAK	0%	317	286	60	11	2	6	25	91	3	5	2	211	282	329	611	118	284	29	8	276	73	-10	+0	-3	+3	+7	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	OAK	34%	171	153	33	6	1	4	14	48	2	3	1	216	288	344	632	128	285	28	8	284	79	-4	+0	-1	+2	+4	0.0
2029	22	MLB MLE	OAK	48%	276	249	55	10	2	7	22	76	3	5	2	220	293	356	648	135	286	28	8	291	83	-6	+0	-1	+3	+6	0.2
2030	23	MLB MLE	OAK	54%	364	327	72	13	2	9	30	99	4	7	2	224	296	364	661	141	287	27	8	296	86	-6	+1	-1	+4	+8	0.5
2031	24	MLB MLE	OAK	55%	419	376	85	15	3	11	35	112	5	8	2	226	299	371	670	145	289	27	8	299	89	-6	+1	-0	+4	+9	0.9
2032	25	MLB MLE	OAK	56%	451	406	92	17	3	12	37	120	5	8	3	228	301	375	676	147	289	27	8	302	90	-5	+0	-0	+5	+10	1.0
2033	26	MLB MLE	OAK	56%	466	419	95	17	3	13	39	124	5	8	3	228	301	376	676	148	289	27	8	302	91	-5	+0	-0	+5	+10	1.0
2034	27	MLB MLE	OAK	55%	472	425	96	17	3	13	39	126	5	8	3	227	300	373	673	146	288	27	8	301	90	-6	+0	-0	+5	+10	1.0
2035	28	MLB MLE	OAK	55%	468	421	95	17	3	13	39	126	5	7	3	225	298	369	667	144	287	27	8	298	88	-7	+0	-1	+5	+10	0.8
2036	29	MLB MLE	OAK	53%	459	413	92	16	3	12	38	125	5	7	3	223	295	363	658	140	286	27	8	295	86	-8	+0	-2	+5	+10	0.6
2037	30	MLB MLE	OAK	53%	448	404	89	16	3	11	37	123	4	6	3	220	292	355	647	135	285	27	8	290	83	-9	+0	-2	+5	+10	0.3
2038	31	MLB MLE	OAK	57%	432	390	84	15	2	10	35	121	4	5	4	216	287	346	633	130	282	28	8	285	79	-11	-1	-3	+5	+9	-0.1
2028	21	MLB CTX	OAK	34%	59	53	11	2	0	1	5	17	1	1	0	222	294	354	647	132	295	29	8	291	79	-2	+0	-0	+1	+1	0.0
2029	22	MLB CTX	OAK	48%	134	121	27	5	1	3	11	37	1	2	1	226	298	365	663	139	296	28	8	297	83	-3	+0	-1	+1	+3	0.1
2030	23	MLB CTX	OAK	54%	197	177	40	8	1	5	16	53	2	4	1	230	302	374	676	144	297	27	8	302	86	-3	+0	-1	+2	+4	0.3
2031	24	MLB CTX	OAK	55%	232	208	48	9	2	6	19	62	3	4	1	232	305	380	685	148	298	27	8	306	89	-3	+0	-0	+2	+5	0.5
2032	25	MLB CTX	OAK	56%	253	227	53	10	2	7	21	67	3	5	1	234	306	385	691	151	299	26	8	308	90	-3	+1	-0	+3	+5	0.6
2033	26	MLB CTX	OAK	56%	262	235	55	11	2	7	22	70	3	5	1	234	306	385	691	151	298	27	8	308	91	-3	+1	-0	+3	+6	0.6
2034	27	MLB CTX	OAK	55%	261	234	55	11	2	7	22	70	3	5	1	233	305	383	688	150	298	27	8	307	90	-3	+1	-0	+3	+6	0.6
2035	28	MLB CTX	OAK	55%	257	231	54	10	2	7	21	69	3	4	1	231	303	378	682	147	297	27	8	304	88	-4	+0	-0	+3	+6	0.5
2036	29	MLB CTX	OAK	53%	245	221	51	10	2	6	20	67	2	4	1	229	301	372	673	143	296	27	8	301	86	-4	+0	-1	+3	+5	0.3
2037	30	MLB CTX	OAK	53%	236	213	47	9	1	6	19	65	2	3	2	226	297	365	662	139	294	28	8	296	83	-5	-0	-1	+3	+5	0.1
2038	31	MLB CTX	OAK	57%	244	220	48	9	1	6	20	68	2	3	2	222	292	355	648	133	291	28	8	290	79	-6	-0	-2	+3	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2380	2140	489	94	16	61	196	645	25	40	12	229	301	373	674	144	296	27	8	302	83	-39	+3	-6	+26	+52	3.6
/ 162G	—	A+C		—	650	584	134	26	4	17	54	176	7	11	3	229	302	375	677	146	297	27	8	302	83	-11	+1	-2	+7	+14	1.0
Career	—	MLE		—	4941	4439	971	173	33	122	413	1386	52	83	36	219	293	355	648	136	287	28	8	291	83	-76	+3	-14	+49	+98	6.1
/ 162G	—	MLE		—	650	584	128	23	4	16	54	182	7	11	5	219	293	354	647	135	288	28	8	291	83	-11	+0	-2	+7	+14	0.9

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.

2026 AStockton Ports · 207 PAwOBA .309 → .244 (−65)K% 29.5% → 40.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.47%	÷1.000	×1.360	—	—	40.08%
BB% (unintentional) /PA	11.11%	÷1.000	×0.690	—	×1.030	7.90%
HBP% /PA	1.93%	—	×0.780	—	×1.030	1.55%
Singles /BIP	22.61%	÷1.000	×0.920	×0.990	×1.030	21.20%
Doubles /BIP	6.09%	÷1.000	×0.830	×0.990	×1.030	5.15%
Triples /BIP	2.61%	÷1.000	×0.910	×0.990	×1.030	2.42%
Home runs /BIP	3.48%	÷1.000	×0.800	—	×1.030	2.87%

Factors used: level-wide A 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 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .309 → .244; ISO .142 → .110; BABIP .316 → .288. 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).

2025 ROKACL Athletics · 188 PAwOBA .354 → .242 (−111)K% 25.0% → 36.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷0.983	×1.440	—	—	36.63%
BB% (unintentional) /PA	19.15%	÷0.971	×0.620	—	×1.008	12.32%
HBP% /PA	0.00%	—	×0.720	—	×1.008	0.00%
Singles /BIP	25.96%	÷1.039	×0.820	×0.984	×1.008	20.31%
Doubles /BIP	7.69%	÷1.020	×0.720	×0.984	×1.008	5.38%
Triples /BIP	0.96%	÷0.989	×0.720	×0.984	×1.008	0.69%
Home runs /BIP	2.88%	÷0.926	×0.780	—	×1.008	2.45%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 108, 2B 104, 3B 98, K 97, BB 94 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.984.

Result: wOBA .354 → .242; ISO .126 → .090; BABIP .353 → .268. 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).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sean Rodríguezlast yr '19 career totals — 11 seasons, 2,871 PA	4.3	2,871	79	42	226	302	380	+10	+16	8.1	8.5
/162	664	18	10	+2.3	+3.7	1.9	pk7: 9
#2Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#3Kevin Elster'86-'00 * career totals — 9 seasons, 3,225 PA	4.9	3,225	88	14	223*	294*	388*	+34	+9	7.9	8.1
/162	664	18	3	+7.0	+1.9	1.6	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	3.8	2,499	64	40	224	293	365	+27	-6	5.7	5.1
/162	664	17	11	+7.1	-1.5	1.5	pk7: 5
#4Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
#5Frank Duffy'70-'79 * career totals — 7 seasons, 2,924 PA	4.4	2,924	26	49	234*	283*	348*	+30	-2	0.9	2.1
/162	664	6	11	+6.7	-0.5	0.2	pk7: 3
#6Andujar Cedeno'90-'96 * career totals — 6 seasons, 2,233 PA	3.4	2,233	47	26	228*	284*	371*	+24	-20	1.3	1.3
/162	664	14	8	+7.1	-5.8	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
Shotaro Morii (OGILVIE)	20	—	—	—	—	209/280/326	117	284	2	2	29%	8%	73	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Hoy Park 2016 · A	20	40→50	41→45	47→55	46	197/270/297	100	265	8	11	28%	8%	62	-1.4	207/284/295	88	286	5	16	27%	9%	67	-1.1	234/324/332	98	306	8	17	24%	11%	88	+0.3
✕Carlos Jimenez 2023 · A	20	35→44	42→50	53→55	51	176/278/284	108	252	10	16	32%	11%	63	-1.3	209/288/321	112	322	10	16	35%	9%	74	-0.5	223/303/376	153	308	17	18	31%	10%	89	+0.4
●Carter Jensen 2023 · A	20	38→48	42→55	45→50	49	189/279/298	109	272	9	7	32%	11%	66	-1.1	205/296/340	135	284	14	9	30%	11%	82	-0.0	233/312/421	188	299	22	7	28%	10%	105	+1.6
✕Rio Ruiz 2014 · A	20	45→54	44→50	50→40	45	221/278/350	129	289	10	8	27%	7%	76	-0.4	241/308/352	111	311	9	4	23%	9%	88	+0.4	246/316/351	105	316	8	2	23%	9%	88	+0.4
✕Bo Naylor 2021 · A	21	41→46	44→55	51→50	42	206/261/333	127	283	11	7	30%	7%	66	-1.1	204/287/354	150	283	17	13	32%	10%	82	-0.0	218/311/396	178	274	21	12	27%	11%	100	+1.0
✕Isan Díaz 2016 · A	20	44→43	47→55	48→45	41	216/276/358	142	306	13	9	32%	7%	78	-0.3	206/276/342	136	304	13	8	34%	8%	74	-0.5	212/290/379	167	275	21	5	30%	9%	86	+0.2
✕Shed Long Jr. 2016 · A	20	44→50	42→50	44→50	43	216/269/322	106	282	10	6	27%	6%	66	-1.1	235/294/368	133	322	13	11	29%	7%	87	+0.4	238/300/387	148	320	15	11	29%	7%	91	+0.5
✕Canaan Smith-Njigba 2019 · A	20	46→51	41→45	46→55	51	218/304/317	98	298	9	7	28%	10%	79	-0.2	237/308/353	116	333	10	11	29%	9%	88	+0.5	242/319/359	118	343	9	15	29%	10%	91	+0.4
✕Juan Brito 2022 · A	20	44→50	41→50	47→45	46	215/282/311	96	276	9	12	25%	8%	70	-0.9	234/317/368	134	286	12	9	21%	10%	96	+1.0	231/317/370	139	276	13	9	20%	10%	94	+0.8
✕Carlos Rodriguez 2023 · A	20	37	39→45	47→45	49	178/272/261	83	262	6	6	32%	10%	55	-1.9	190/264/264	74	295	5	6	34%	9%	52	-2.2	178/256/266	88	258	7	2	31%	9%	47	-1.0
✕Gavin Conticello 2024 · A	21	36→46	45	48→50	40	185/254/310	126	264	13	8	34%	7%	59	-1.6	219/279/344	125	300	11	8	29%	7%	76	-0.4	230/290/358	128	308	12	7	28%	7%	80	-0.1
✕Bryan Ramos 2022 · A	20	41→42	45→50	49→50	42	206/277/332	126	281	12	8	30%	7%	73	-0.6	219/279/362	143	273	18	5	26%	6%	80	-0.1	214/275/354	140	261	19	5	25%	6%	74	-0.4
✕Izaac Pacheco 2023 · A	20	41→40	42→50	47→45	42	201/260/306	105	290	10	8	33%	7%	59	-1.6	187/250/307	120	297	13	5	39%	7%	57	-1.8	185/263/344	159	294	20	3	41%	9%	69	-0.6
✕Samuel Zavala 2023 · A	19	42→44	45	48→50	46	206/278/339	133	281	12	10	30%	9%	74	-0.5	193/287/305	112	289	11	12	34%	11%	71	-0.8	193/290/301	108	265	12	12	29%	11%	68	-0.8
✕Angel Martínez 2022 · A	20	42→50	41→50	50	45	204/264/307	103	268	7	10	26%	7%	61	-1.5	231/294/358	127	293	12	10	24%	7%	84	+0.2	236/284/389	154	280	16	12	22%	5%	89	+0.4
✕Ryan Mount 2007 · A	20	42	42→50	49→50	42	206/265/309	102	291	10	8	32%	7%	62	-1.4	224/270/342	118	294	12	11	27%	6%	72	-0.7	242/286/380	138	297	15	8	23%	5%	85	+0.1
✕Kevin Padlo 2016 · A	20	39→42	46→55	50	46	197/276/332	135	270	13	8	31%	9%	73	-0.6	186/272/313	127	276	12	8	34%	10%	67	-1.1	196/269/361	165	267	20	12	33%	8%	75	-0.3
✕Thayron Liranzo 2023 · A	20	39→43	47→50	48→30	43	197/269/333	136	279	14	5	33%	8%	70	-0.8	211/298/368	157	314	18	2	35%	11%	89	+0.5	200/293/350	150	295	17	1	35%	11%	80	-0.1
●Bryan Rincon 2023 · A	19	42→47	45	53→55	45	210/280/332	122	276	12	11	28%	8%	74	-0.6	194/285/295	101	272	9	22	29%	10%	68	-1.0	192/290/337	145	263	17	31	32%	11%	77	-0.2
✕Angel Ortiz 2022 · A	19	42→45	41→50	46→45	44	206/261/296	90	269	9	9	26%	7%	57	-1.8	207/257/302	95	281	7	7	27%	6%	57	-1.8	227/286/370	143	294	13	8	26%	7%	82	+0.0

Shotaro Morii

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps