Casey Yamauchi — OGILVIE

Casey YamauchiSS Midland RockHounds

Age 25 R/R 5'9" / 155 lbs AA HR -5% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION458 act + 9 ros · stats below = ROS only

showingROS

wRC+†86

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

PA9

HR0

K%11

BB%4

BABIP290

ISO66

MLB%2%

Value2026 · WAR

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

Tools · ContractCON 60 / POW 25

Toolsscout grade

CONTACT60

scouting grade only

POWER25

scouting grade only

EYE20

scouting grade only

SPEED50

scouting grade only

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.4	$1M	+$0.7M
2030	Pre-Arb	$0.9M	+0.3	$0.9M	+$0.3M
2031	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2032	Arb-1	$1M	+0.1	$0.3M	+$0.0M (cut)
2033	Arb-2	$1M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$3M	+$1.0M

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.

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)
2023	22	AA	Midland RockHounds	—	35	31	6	1	0	0	2	5	2	1	1	194	286	226	512	32	231	14	6	248	54	-2	-0	—	—	+1	-0.1
2024	23	A+	Lansing Lugnuts	—	197	178	42	4	0	0	11	14	7	13	2	236	306	258	565	22	256	7	6	266	66	-8	+2	—	—	+4	-0.2
2024	23	A	Stockton Ports	—	132	114	36	6	2	0	10	13	5	7	3	316	395	404	799	88	350	10	8	355	127	+4	+0	—	—	+3	0.7
2025	24	AA	Midland RockHounds	—	19	19	9	1	1	1	0	2	0	0	0	474	474	789	1.263	316	500	11	0	548	257	+4	+0	—	—	+0	0.4
2025	24	A+	Lansing Lugnuts	—	481	435	120	21	3	1	22	36	15	13	7	276	333	345	677	69	294	7	5	304	92	-5	-0	—	—	+10	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	22	AA MLE	Midland RockHounds	—	35	32	6	1	0	0	1	6	2	1	1	188	257	219	476	31	210	17	3	206	26	-3	-0	—	—	+1	-0.3
2024	23	A+ MLE	Lansing Lugnuts	—	197	181	37	3	0	0	8	19	7	13	2	204	265	221	486	17	226	10	4	221	36	-15	+2	—	—	+4	-0.9
2024	23	A MLE	Stockton Ports	—	132	117	34	5	2	0	7	17	5	7	3	291	357	368	724	77	324	13	5	316	100	+0	+0	—	—	+3	0.3
2025	24	AA MLE	Midland RockHounds	—	19	19	8	1	1	1	0	2	0	0	0	421	421	737	1.158	316	439	11	0	441	185	+2	+0	—	—	+0	0.2
2025	24	A+ MLE	Lansing Lugnuts	—	481	443	101	15	2	1	14	50	15	13	7	228	275	278	553	50	245	10	3	245	52	-27	-0	—	—	+10	-1.8
2023	22	AA MLE	Midland RockHounds	—	35	32	6	1	0	0	1	6	2	1	1	188	257	219	476	31	231	17	3	206	26	—	—	—	—	—	—
2023	22	AA RAW	Midland RockHounds	—	35	31	6	1	0	0	2	5	2	1	1	194	286	226	512	32	231	14	6	248	26	—	—	—	—	—	—
2024	23	A+ MLE	2 teams	—	329	298	72	9	2	0	15	36	12	20	5	242	305	285	590	44	273	11	5	259	62	—	—	—	—	—	—
2024	23	A+ RAW	2 teams	—	329	292	78	10	2	0	21	27	12	20	5	267	342	315	657	48	292	8	6	302	62	—	—	—	—	—	—
2025	24	A+ MLE	2 teams	—	500	462	110	16	3	2	14	52	15	13	7	238	283	299	582	61	260	10	3	252	57	—	—	—	—	—	—
2025	24	A+ RAW	2 teams	—	500	454	129	22	4	2	22	38	15	13	7	284	338	363	702	79	302	8	4	313	57	—	—	—	—	—	—
2023	22	AA MLE	Midland RockHounds	—	35	32	6	1	0	0	1	6	2	1	1	188	257	219	476	31	210	17	3	206	26	—	—	—	—	—	—
2024	23	A+ MLE	2 teams	—	329	299	72	9	2	0	15	36	12	20	5	241	305	284	589	43	265	11	5	259	62	—	—	—	—	—	—
2025	24	A+ MLE	2 teams	—	500	467	110	16	3	2	14	52	15	13	7	236	283	296	579	60	252	10	3	252	57	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	22	AA MLE	Midland RockHounds	—	35	32	6	1	0	0	1	6	2	1	1	188	257	219	476	31	210	17	3	206	26	—	—	—	—	—	—
2024	23	A+ MLE	2 teams	—	329	299	72	9	2	0	15	36	12	20	5	241	305	284	589	43	265	11	5	259	62	—	—	—	—	—	—
2025	24	A+ MLE	2 teams	—	500	467	110	16	3	2	14	52	15	13	7	236	283	296	579	60	252	10	3	252	57	—	—	—	—	—	—
YTD	25	AA MLE	OAK	—	458	413	112	16	2	7	19	57	19	29	3	271	333	370	703	99	299	12	4	304	92	-4	+5	+0	+5	+10	1.5
▸ 2026 season
YTD	25	A+ RAW	OAK	—	201	172	51	9	1	4	17	19	9	9	0	297	389	430	819	134	313	9	8	365	92	—	—	—	—	—	—
YTD	25	AA RAW	OAK	—	257	233	67	9	1	5	10	26	10	20	3	288	344	399	743	112	305	10	4	331	92	—	—	—	—	—	—
ROS	25	AA MLE	OAK	2%	9	9	2	0	0	0	0	1	0	0	0	222	222	222	444		286	11	0	295	86	-0	+0	+0	+0	+0	0.0
TOT	25	AA MLE	OAK	—	467	422	114	16	2	7	19	58	19	29	3	270	330	367	698	97	298	12	4	304	92	-4	+5	+0	+5	+10	1.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	26	MLB MLE	OAK	31%	365	336	86	13	2	5	15	48	11	12	2	256	309	351	661	95	283	13	4	295	86	-6	+2	+0	+4	+8	0.7
2028	27	MLB MLE	OAK	42%	388	356	91	14	2	6	18	54	11	12	2	256	312	357	668	101	283	14	5	298	87	-6	+2	+0	+4	+8	0.9
2029	28	MLB MLE	OAK	48%	401	367	93	14	2	6	20	58	11	11	2	253	312	351	663	98	283	14	5	298	88	-6	+1	-1	+4	+9	0.8
2030	29	MLB MLE	OAK	49%	400	367	92	14	2	6	20	59	10	10	2	251	307	349	656	98	283	15	5	297	87	-6	+1	-1	+4	+9	0.7
2031	30	MLB MLE	OAK	50%	398	365	92	14	2	6	20	60	10	9	1	252	309	351	660	99	283	15	5	294	85	-7	+1	-2	+4	+9	0.5
2032	31	MLB MLE	OAK	51%	387	354	87	13	2	5	20	59	10	7	1	246	305	336	641	90	281	15	5	291	83	-8	+1	-3	+4	+8	0.3
2033	32	MLB MLE	OAK	51%	370	339	82	12	1	5	19	58	9	6	1	242	300	327	627	86	278	16	5	285	79	-9	+1	-4	+4	+8	0.0
2027	26	MLB CTX	OAK	31%	113	104	27	4	1	1	5	15	3	4	1	260	312	346	659	87	288	13	4	278	86	-2	+0	+0	+1	+2	0.2
2028	27	MLB CTX	OAK	42%	163	150	38	6	1	2	8	23	4	5	1	253	309	347	655	93	288	14	5	281	87	-2	+1	+0	+2	+4	0.4
2029	28	MLB CTX	OAK	48%	192	175	45	7	1	3	10	28	5	5	1	257	316	360	676	103	288	15	5	282	88	-3	+1	-0	+2	+4	0.4
2030	29	MLB CTX	OAK	49%	197	180	46	7	1	3	10	29	5	5	1	256	313	356	668	100	288	15	5	281	87	-3	+1	-1	+2	+4	0.3
2031	30	MLB CTX	OAK	50%	200	183	46	7	1	3	10	30	5	4	1	251	308	350	658	98	288	15	5	279	85	-3	+0	-1	+2	+4	0.2
2032	31	MLB CTX	OAK	51%	196	179	45	7	1	3	10	30	5	4	1	251	309	352	661	101	286	15	5	275	83	-4	+0	-1	+2	+4	0.1
2033	32	MLB CTX	OAK	51%	189	172	43	7	1	2	10	30	5	3	1	250	310	337	647	87	283	16	5	270	79	-5	+0	-2	+2	+4	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1250	1143	290	45	7	17	63	185	32	30	7	254	311	350	661	96	288	15	5	278	78	-22	+3	-5	+13	+27	1.6
/ 162G	—	A+C		—	650	594	151	23	4	9	33	96	17	16	4	254	313	352	664	98	288	15	5	278	78	-12	+2	-3	+7	+14	0.9
Career	—	MLE		—	3582	3285	813	120	18	41	162	491	101	101	24	247	303	332	636	85	278	14	5	284	78	-48	+9	-10	+29	+59	3.9
/ 162G	—	MLE		—	650	596	147	22	3	7	29	89	18	18	4	247	301	329	630	82	278	14	4	284	78	-11	+2	-3	+7	+14	0.9

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#2Adeiny Hechavarríalast yr '20 career totals — 9 seasons, 3,288 PA	5.0	3,288	37	35	253	291	351	+32	+46	8.6	8.8
/162	664	7	7	+6.5	+9.3	1.7	pk7: 9
#3José Perazalast yr '21 career totals — 6 seasons, 2,134 PA	3.2	2,134	35	76	266	307	373	+14	+31	8.6	8.6
/162	664	11	24	+4.5	+9.7	2.7	pk7: 9
#4Angel Berroalast yr '09 career totals — 8 seasons, 2,794 PA	4.2	2,794	46	50	259	303	375	+27	-6	6.7	7.1
/162	664	11	12	+6.5	-1.4	1.6	pk7: 7
#5Darwin Barneylast yr '17 career totals — 7 seasons, 2,729 PA	4.1	2,729	29	29	246	294	339	+10	+46	6.5	6.5
/162	664	7	7	+2.5	+11.2	1.6	pk7: 7
#6Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	1.9	1,258	17	30	251	305	345	+13	+9	2.8	2.8
/162	664	9	16	+7.1	+4.8	1.5	pk7: 3

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
Casey Yamauchi (OGILVIE)	25	60	25	50	20	255/309/336	81	286	3	15	12%	4%	86	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Valentin Gamez 2008 · AAA	25	55	36→40	48→40	47	258/295/320	62	288	4	15	12%	5%	75	-0.5	236/289/303	67	272	4	8	14%	7%	70	-0.9	277/325/348	71	313	3	3	12%	6%	92	+0.3
✕Tony Renda 2016 · AA	25	54→59	36→40	52→50	49	251/301/326	75	287	2	17	13%	6%	78	-0.3	246/288/328	82	282	4	15	14%	5%	74	-0.5	251/291/332	81	289	4	14	14%	4%	73	-0.3
✕Ramon Soto 2013 · AAA	25	53	36→30	47→45	45	251/298/318	67	302	4	9	18%	5%	76	-0.4	249/302/324	75	307	4	9	19%	6%	79	-0.2	296/338/363	68	374	0	7	20%	5%	99	+0.3
✕James Tomlin 2008 · AA	25	51→61	38→40	49→50	45	241/278/327	86	284	4	14	17%	5%	70	-0.8	261/309/347	86	317	3	13	17%	6%	86	+0.3	268/319/351	83	327	3	12	18%	6%	88	+0.3
✕Brandon Douglas 2012 · AA	26	56→55	36→40	54→50	45	261/297/339	78	299	2	15	14%	4%	80	-0.2	239/280/319	80	288	4	13	18%	5%	70	-0.9	232/277/309	77	280	4	11	18%	5%	63	-0.9
✕Chesny Young 2018 · AAA	25	54→64	35→30	43→50	48	254/303/317	63	300	3	11	16%	6%	77	-0.3	224/267/286	62	290	4	9	23%	5%	57	-1.8	215/247/240	25	290	0	7	25%	4%	34	-1.8
✕Omar Luna 2013 · AAA	26	56→63	36→30	48→50	45	262/297/326	64	297	3	13	13%	4%	77	-0.3	243/283/321	78	281	5	10	15%	5%	71	-0.8	233/262/290	57	268	2	4	14%	3%	51	-0.9
✕Leonardo Reginatto 2015 · AA	25	57→62	34→30	50→45	48	267/321/323	56	324	1	10	17%	7%	85	+0.2	247/292/312	65	302	3	6	18%	5%	72	-0.7	246/288/308	61	301	3	3	18%	5%	67	-0.8
✕Kevin Russo 2009 · AA	25	52→59	38→40	51→50	42	247/287/333	87	303	4	14	20%	4%	75	-0.5	246/295/322	76	308	4	14	20%	6%	76	-0.4	243/294/311	68	309	3	14	21%	5%	70	-0.6
✕Lorenzo Cedrola 2023 · AAA	25	52→59	39→40	50	39	247/280/339	92	293	6	13	18%	3%	74	-0.6	230/292/333	103	275	8	22	19%	5%	78	-0.3	218/303/322	105	253	8	35	17%	7%	77	-0.1
✕Diego Madero 2017 · AAA	25	51	38→40	50	45	243/280/322	79	278	5	16	15%	4%	70	-0.9	250/292/355	105	286	9	15	16%	5%	82	+0.0	244/289/353	109	274	11	13	15%	5%	77	-0.2
✕Ben Orloff 2012 · A	25	53→58	38→40	49→50	48	248/303/331	83	273	4	10	11%	5%	81	-0.1	255/308/310	55	281	2	10	9%	5%	78	-0.3	269/322/299	31	292	0	10	7%	5%	79	-0.1
✕Wladimir Sutil 2010 · AA	25	53→55	34→30	49→55	47	243/291/292	49	274	1	20	12%	5%	68	-1.0	234/284/288	54	265	2	18	12%	6%	63	-1.3	227/279/273	46	256	2	19	11%	6%	56	-1.1
✕Jose Bernardo Lopez 2015 · AAA	25	54	35→30	47→50	44	253/290/312	59	303	3	12	17%	5%	71	-0.8	250/287/338	88	300	6	9	18%	4%	76	-0.4	272/300/362	90	320	5	4	16%	3%	84	+0.0
✕Yonathan Daza 2019 · AA	25	54→61	38→45	49→50	40	257/285/347	90	316	4	13	20%	3%	77	-0.3	256/295/353	97	308	7	11	18%	5%	83	+0.1	270/316/353	83	322	5	6	17%	6%	88	+0.3
✕Paco Figueroa 2008 · AA	25	54→57	37→40	46→55	48	253/310/328	75	301	4	16	17%	7%	83	+0.1	250/303/332	82	306	3	16	18%	6%	80	-0.1	253/309/332	78	307	1	15	17%	7%	80	-0.1
✕Brendan Ryan 2007 · AAA	25	52→61	39→40	52→55	47	245/289/335	90	282	6	14	15%	6%	76	-0.4	250/299/337	87	289	6	19	15%	6%	80	-0.1	259/310/346	87	299	5	20	14%	6%	83	+0.1
✕Renny Osuna 2011 · AA	26	54→63	37→40	47→50	44	257/295/331	74	306	3	12	17%	5%	77	-0.3	251/287/331	80	289	5	15	14%	5%	74	-0.5	256/291/330	75	287	5	16	13%	5%	73	-0.6
●Kevin Newman 2019 · MLB	25	53→62	38→45	50	46	252/289/332	81	286	4	17	14%	5%	76	-0.4	260/304/363	103	287	9	14	12%	5%	88	+0.5	262/309/356	93	308	5	15	16%	6%	87	+0.2
✕Brandon Roberts 2010 · AA	25	54→58	37→40	50→55	44	253/301/324	71	301	4	17	17%	5%	78	-0.3	257/310/332	75	306	4	22	16%	5%	84	+0.1	262/316/330	68	310	3	26	15%	5%	83	+0.0

Career Stats + Projections

Career Comps

Career Path Comps