Scott Bandura — OGILVIE

Scott BanduraLF Sacramento River Cats

Age 24 L/R 6'3" / 190 lbs AAA HR -15%H -3% Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION604 act + 9 ros · stats below = ROS only

showingROS

wRC+†98

AVG/OBP/SLG—

PA1

HR0

K%22

BB%11

BABIP312

ISO107

MLB%10%

Value2026 · WAR

2026 MLB RUNS · solid = so far · light = projected ROS (park-applied)

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$10M ctrl surplus

Tools · ContractCON 50 / POW 40

Toolsscout grade

CONTACT50

scouting grade only

POWER40

scouting grade only

EYE50

scouting grade only

SPEED60

scouting grade only

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.5	$2M	+$1M
2029	Pre-Arb	$0.8M	+0.5	$2M	+$1.0M
2030	Pre-Arb	$0.9M	+0.5	$1M	+$0.9M
2031	Arb-1	$2M	+0.4	$1M	+$0.0M (cut)
2032	Arb-2	$3M	+0.3	$0.8M	+$0.0M (cut)
2033	Arb-3	$3M	+0.1	$0.2M	+$0.0M (cut)
Totals		$3M		$7M	+$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. 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	21	A	San Jose Giants	—	99	79	19	5	1	2	15	26	2	3	1	241	375	405	780	165	315	26	15	344	119	+2	+0	—	—	+2	0.5
2023	21	ROK	ACL Giants Orange	—	21	15	6	1	0	1	5	6	0	0	0	400	550	667	1.217	267	556	29	24	499	224	+3	+0	—	—	+0	0.4
2024	22	A+	Eugene Emeralds	—	247	211	48	9	2	6	31	69	3	19	2	227	335	374	709	147	304	28	13	320	103	+1	+3	—	—	+5	0.9
2024	22	A	San Jose Giants	—	126	105	29	7	1	0	14	24	6	5	3	276	392	362	754	86	354	19	11	348	121	+3	-0	—	—	+3	0.6
2025	23	AA	Richmond Flying Squirrels	—	186	161	32	9	1	3	23	57	1	11	0	199	303	323	626	124	287	31	12	287	80	-4	+2	—	—	+4	0.2
2025	23	A+	Eugene Emeralds	—	373	319	98	15	3	7	44	90	7	30	2	307	403	439	842	132	404	24	12	377	141	+18	+5	—	—	+8	3.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	21	A MLE	San Jose Giants	—	99	84	16	4	1	2	10	37	2	3	1	190	292	333	625	143	276	37	10	277	74	-3	+0	—	—	+2	-0.1
2023	21	ROK MLE	ACL Giants Orange	—	21	17	5	1	0	1	3	8	0	0	0	294	400	529	929	235	418	38	14	362	131	+1	+0	—	—	+0	0.1
2024	22	A+ MLE	Eugene Emeralds	—	247	223	35	6	1	4	19	100	3	19	2	157	233	247	479	90	254	40	8	222	36	-19	+3	—	—	+5	-1.1
2024	22	A MLE	San Jose Giants	—	126	109	24	5	1	0	10	34	6	5	3	220	320	284	604	64	309	27	8	274	72	-4	-0	—	—	+3	-0.2
2025	23	AA MLE	Richmond Flying Squirrels	—	186	167	28	8	1	2	17	68	1	11	0	168	249	263	512	96	264	37	9	226	39	-13	+2	—	—	+4	-0.7
2025	23	A+ MLE	Eugene Emeralds	—	373	334	80	10	3	6	29	118	7	30	2	240	314	341	655	102	337	32	8	285	79	-9	+5	—	—	+8	0.4
2023	21	A MLE	2 teams	—	120	100	22	5	1	3	14	46	2	3	1	220	328	380	708	160	345	38	12	292	84	—	—	—	—	—	—
2023	21	A RAW	2 teams	—	120	94	25	6	1	3	20	32	2	3	1	266	405	447	852	181	349	27	17	371	84	—	—	—	—	—	—
2024	22	A+ MLE	2 teams	—	373	332	60	12	2	4	29	133	9	24	5	181	265	265	530	84	283	36	8	240	48	—	—	—	—	—	—
2024	22	A+ RAW	2 teams	—	373	316	77	16	3	6	45	93	9	24	5	244	354	370	724	127	323	25	12	330	48	—	—	—	—	—	—
2025	23	A+ MLE	2 teams	—	559	501	107	18	3	8	46	186	8	41	2	214	290	309	599	96	319	33	8	265	66	—	—	—	—	—	—
2025	23	A+ RAW	2 teams	—	559	480	130	24	4	10	67	147	8	41	2	271	369	400	769	129	368	26	12	347	66	—	—	—	—	—	—
2023	21	A MLE	2 teams	—	120	103	22	5	1	3	14	46	2	3	1	214	328	369	697	155	301	38	12	292	84	—	—	—	—	—	—
2024	22	A+ MLE	2 teams	—	373	332	60	12	2	4	29	133	9	24	5	181	265	265	530	84	273	36	8	240	48	—	—	—	—	—	—
2025	23	A+ MLE	2 teams	—	559	500	107	18	3	8	46	186	8	41	2	214	290	310	600	96	313	33	8	265	66	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	21	A MLE	2 teams	—	120	103	22	5	1	3	14	46	2	3	1	214	328	369	697	155	301	38	12	292	84	—	—	—	—	—	—
2024	22	A+ MLE	2 teams	—	373	332	60	12	2	4	29	133	9	24	5	181	265	265	530	84	273	36	8	240	48	—	—	—	—	—	—
2025	23	A+ MLE	2 teams	—	559	500	107	18	3	8	46	186	8	41	2	214	290	310	600	96	313	33	8	265	66	—	—	—	—	—	—
YTD	24	AAA MLE	SF	—	604	533	150	32	5	10	50	115	7	34	4	281	351	417	767	135	337	19	8	331	110	+7	+5	+0	-6	+13	2.0
▸ 2026 season
YTD	24	AA RAW	SF	—	174	142	46	9	2	3	25	30	3	10	2	324	435	479	914	155	387	17	14	400	110	—	—	—	—	—	—
YTD	24	AAA RAW	SF	—	430	368	117	28	3	10	48	61	4	24	2	318	402	492	894	174	354	14	11	388	110	—	—	—	—	—	—
ROS	24	AAA MLE	SF	10%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		318	22	11	313	98	-0	+0	+0	-0	+0	0.0
▸ 2026 season — projected rest
ROS	24	MLB CTX	SF	10%	1	1	0	0	0	0	0	0	0	0	0						312	0	0	299	98	-0	+0	+0	-0	+0	0.0
FULL	24	MLB A+C	SF	—	1	1	0	0	0	0	0	0	0	0	0							0	0	299	110	+0	+0	+0	-0	+0	0.0
TOT	24	AAA MLE	SF	—	613	541	151	32	5	10	51	117	7	34	4	279	349	412	761	133	335	19	8	331	110	+7	+5	+0	-7	+13	2.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	SF	35%	581	522	131	27	4	10	48	131	6	26	3	251	321	375	697	125	313	23	8	312	97	-2	+4	+0	-6	+13	0.9
2028	26	MLB MLE	SF	46%	609	546	138	28	4	12	51	137	7	28	3	253	325	385	709	132	312	22	8	315	99	-1	+4	+0	-7	+13	1.1
2029	27	MLB MLE	SF	50%	627	561	140	28	4	12	54	142	7	28	3	250	323	378	701	128	310	23	9	315	99	-0	+4	+0	-7	+14	1.1
2030	28	MLB MLE	SF	52%	638	571	143	29	4	13	55	145	7	27	3	250	324	384	707	133	310	23	9	314	99	-1	+4	-1	-7	+14	1.0
2031	29	MLB MLE	SF	52%	637	570	141	28	4	12	55	146	7	25	3	247	321	374	695	126	309	23	9	312	98	-2	+4	-1	-7	+14	0.8
2032	30	MLB MLE	SF	52%	629	562	139	28	4	12	55	146	7	23	2	247	322	375	698	128	308	23	9	310	96	-3	+4	-2	-7	+14	0.5
2033	31	MLB MLE	SF	52%	619	553	134	27	3	11	54	145	7	19	2	242	318	362	679	119	305	23	9	305	93	-5	+3	-3	-7	+13	0.2
2034	32	MLB MLE	SF	52%	384	344	81	16	2	6	33	92	4	10	1	235	310	346	656	110	302	24	9	300	89	-5	+2	-4	-4	+8	-0.3
2027	25	MLB CTX	SF	35%	202	181	44	9	1	3	17	46	2	9	1	243	315	354	669	110	307	23	8	298	97	-1	+1	+0	-2	+4	0.3
2028	26	MLB CTX	SF	46%	282	253	62	12	2	5	24	64	3	13	1	245	318	368	685	123	306	23	9	300	99	-0	+2	+0	-3	+6	0.5
2029	27	MLB CTX	SF	50%	314	281	69	14	2	6	27	71	3	14	2	246	318	374	692	128	305	23	9	300	99	-0	+2	+0	-3	+7	0.5
2030	28	MLB CTX	SF	52%	332	296	72	14	2	6	29	75	4	14	2	243	319	365	684	122	304	23	9	300	99	-0	+2	-0	-4	+7	0.5
2031	29	MLB CTX	SF	52%	330	294	71	14	2	6	29	76	4	13	1	241	318	364	682	122	303	23	9	298	98	-1	+2	-1	-4	+7	0.4
2032	30	MLB CTX	SF	52%	325	290	70	14	2	6	28	75	4	12	1	241	317	366	682	124	302	23	9	295	96	-2	+2	-1	-3	+7	0.3
2033	31	MLB CTX	SF	52%	319	285	67	13	2	5	28	75	3	10	1	235	310	347	657	112	299	24	9	291	93	-3	+2	-1	-3	+7	0.1
2034	32	MLB CTX	SF	52%	198	177	41	8	1	3	17	47	2	5	1	232	306	339	645	107	296	24	9	286	89	-3	+1	-2	-2	+4	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2303	2058	496	98	14	40	199	529	25	90	10	241	316	361	676	120	304	23	9	296	90	-10	+14	-5	-25	+50	2.5
/ 162G	—	A+C		—	650	581	140	28	4	11	56	149	7	25	3	241	315	360	675	119	304	23	9	296	90	-3	+4	-2	-7	+14	0.7
Career	—	MLE		—	5785	5170	1237	246	35	103	495	1451	71	254	28	239	314	360	674	121	311	25	9	302	90	-19	+29	-10	-51	+103	5.2
/ 162G	—	MLE		—	650	581	140	28	4	12	56	163	8	29	3	241	317	365	682	124	312	25	9	302	90	-3	+4	-1	-7	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Eric Byrneslast yr '09 career totals — 8 seasons, 3,440 PA	5.2	3,440	106	125	260	321	441	-21	+3	14.9	15.2
/162	664	20	24	-4.1	+0.6	2.9	pk7: 16
#2Drew Stubbslast yr '16 career totals — 8 seasons, 3,143 PA	4.7	3,143	92	161	244	314	394	+3	+16	12.2	12.3
/162	664	19	34	+0.6	+3.3	2.6	pk7: 12
#3Manuel Margotlast yr '24 career totals — 8 seasons, 3,154 PA	4.8	3,154	56	94	254	307	380	-5	+27	8.4	8.8
/162	664	12	20	-1.1	+5.6	1.8	pk7: 9
#4Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
#5Desmond Jenningslast yr '16 career totals — 6 seasons, 2,327 PA	3.5	2,327	55	93	245	323	394	-9	+10	8.1	8.1
/162	664	16	27	-2.5	+2.7	2.3	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	3.5	2,335	44	92	247	317	373	-14	+0	5.2	5.2
/162	664	12	26	-4.0	+0.0	1.5	pk7: 5
#6Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5

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
Scott Bandura (OGILVIE)	24	50	40	60	50	251/321/372	121	318	5	16	23%	8%	98	+0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Roger Bernadina 2008 · AAA	24	48→58	40→45	54→60	46	228/289/316	88	299	7	27	25%	7%	72	-0.7	261/315/370	109	336	8	29	23%	7%	95	+0.9	261/318/385	124	324	11	31	22%	7%	95	+0.9
✕Jared Oliva 2020 · AA	24	47→48	41→45	57→65	42	225/286/329	105	302	8	27	27%	6%	75	-0.5	218/271/318	100	303	7	24	29%	6%	66	-1.1	223/290/349	126	282	12	55	24%	7%	77	-0.2
✕Eliezer Álvarez 2019 · AA	24	45→55	42→45	57→55	40	216/270/329	112	312	9	21	32%	6%	69	-0.9	202/261/305	103	316	10	15	36%	7%	60	-1.6	182/248/267	86	291	8	13	38%	8%	44	-1.9
✕Forrest Wall 2019 · AA	23	44→54	41→45	53→70	42	215/272/311	97	294	8	23	29%	6%	65	-1.2	217/277/323	106	306	8	22	30%	7%	70	-0.8	253/326/354	101	349	8	50	27%	9%	92	+0.5
✕Darrell Ceciliani 2014 · AA	24	51→53	40→45	57→55	41	242/288/338	95	322	6	22	26%	5%	77	-0.3	242/281/351	109	316	9	21	25%	4%	78	-0.3	239/279/352	113	306	10	21	25%	4%	75	-0.3
●Ruben Sosa 2015 · AAA	24	49→55	40→45	62→60	43	228/287/331	103	328	5	32	30%	7%	75	-0.5	253/307/357	104	336	6	30	24%	7%	88	+0.5	271/336/373	102	341	5	31	21%	7%	100	+0.8
✕Jeremy Hazelbaker 2012 · AA	24	43→53	43→55	59→60	42	208/274/326	117	310	10	34	34%	8%	70	-0.9	221/268/337	116	312	12	31	31%	5%	70	-0.9	244/304/419	175	340	17	21	31%	7%	98	+0.7
✕Juan Silva 2015 · A	24	50→46	41→45	56→55	52	235/315/337	102	312	8	29	26%	10%	87	+0.4	217/291/304	87	283	5	17	23%	9%	71	-0.8	198/269/272	74	259	3	10	23%	8%	53	-0.8
✕Eric Patterson 2007 · AAA	24	51→55	44→50	61→60	45	247/297/374	127	309	10	30	23%	6%	88	+0.5	244/294/368	124	303	10	28	22%	7%	86	+0.3	245/299/370	126	301	11	31	22%	7%	87	+0.3
✕Alejandro Ortiz 2014 · AAA	24	48→58	42→40	56→50	44	229/289/337	108	300	8	20	26%	7%	78	-0.3	240/290/343	103	338	8	15	29%	6%	78	-0.3	274/326/366	92	370	7	11	26%	6%	96	+0.5
✕Ji Hwan Bae 2023 · MLB	24	50→52	42→45	58→60	45	242/297/353	111	305	8	27	23%	7%	84	+0.1	242/306/342	100	326	6	31	25%	8%	84	+0.2	242/313/336	94	331	6	39	26%	9%	83	+0.1
✕Khalil Lee 2021 · AA	23	46→51	41→45	57→55	42	212/286/309	96	325	8	30	35%	8%	70	-0.8	205/307/330	125	338	11	15	38%	9%	84	+0.2	190/304/318	128	331	11	13	40%	10%	78	-0.2
●Michael Bourn 2006 · AA	23	51→61	39→45	57→65	44	243/294/329	86	318	6	24	25%	7%	77	-0.3	243/299/332	89	313	5	37	22%	7%	79	-0.2	276/338/379	103	351	5	38	21%	8%	102	+1.6
✕Leo German 2017 · AAA	24	49→56	42→45	61→55	40	239/285/351	112	305	9	28	24%	5%	79	-0.2	264/300/346	82	345	6	22	24%	4%	83	+0.1	279/314/353	75	359	6	19	23%	4%	86	+0.2
✕Ryan LaMarre 2013 · AA	24	51→52	38→45	55→60	44	237/298/313	75	318	5	27	26%	7%	75	-0.5	217/274/308	91	287	8	19	26%	6%	65	-1.2	236/307/362	126	336	11	23	31%	7%	87	+0.2
●Jake McCarthy 2021 · A	24	45→55	39→50	57→60	40	213/267/303	90	314	6	21	32%	6%	61	-1.5	241/304/386	145	314	13	33	26%	7%	95	+0.9	274/338/400	126	325	12	37	18%	7%	108	+1.6
✕Drew Avans 2021 · AA	25	45→53	45	54→60	41	222/277/344	121	307	13	20	31%	6%	74	-0.5	229/300/341	112	326	8	28	30%	9%	82	+0.0	220/298/327	106	313	7	30	29%	9%	76	-0.3
✕Corey Rosier 2023 · A	23	47→52	42→40	62→60	49	227/302/337	110	300	8	28	26%	9%	82	+0.0	216/278/313	97	290	7	33	26%	7%	68	-1.0	208/271/300	92	276	7	36	26%	7%	60	-1.0
✕Lane Adams 2015 · AA	25	46	43→45	57→60	43	224/279/338	114	287	10	27	25%	6%	74	-0.5	228/281/349	121	306	12	31	28%	6%	77	-0.3	227/280/350	123	310	14	36	30%	6%	74	-0.4
✕Tito Polo 2019 · AA	24	48→54	43→45	58→60	40	233/287/345	112	306	10	29	27%	5%	78	-0.3	222/270/323	101	291	8	20	25%	5%	67	-1.1	213/241/297	84	275	3	25	23%	3%	46	-0.5

Career Stats + Projections

Career Comps

Career Path Comps