Brian Sanchez — OGILVIE

Brian SanchezLF Beloit Sky Carp

Age 22 L/R 6'3" / 170 lbs A+ HR -10%H -3% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION412 act + 9 ros · stats below = ROS only

showingROS

wRC+†67

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

PA9

HR0

K%33

BB%11

BABIP263

ISO120

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 45 / POW 35

Toolsscout grade

CONTACT45

scouting grade only

POWER35

scouting grade only

EYE50

scouting grade only

SPEED60

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
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
Totals		$0.0M		$-2M	+$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.

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	19	ROK	DSL Brewers 1	—	128	101	30	7	4	0	20	23	3	8	4	297	427	446	873	149	366	18	16	381	144	+7	+0	—	—	+3	1.0
2024	20	ROK	FCL Yankees	—	198	173	53	16	4	4	23	41	2	16	3	306	394	514	908	208	383	21	12	399	156	+13	+2	—	—	+4	2.0
2025	21	A	Tampa Tarpons	—	286	242	68	16	5	4	36	67	2	24	4	281	376	438	814	157	366	23	13	358	129	+10	+3	—	—	+6	2.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	19	ROK MLE	DSL Brewers 1	—	128	109	23	5	3	0	12	33	3	8	4	211	306	312	618	101	271	26	9	273	71	-4	+0	—	—	+3	-0.2
2024	20	ROK MLE	FCL Yankees	—	198	182	39	10	3	3	14	61	2	16	3	214	278	352	629	137	298	31	7	267	67	-8	+2	—	—	+4	-0.2
2025	21	A MLE	Tampa Tarpons	—	286	252	53	13	4	4	28	95	2	24	4	210	294	341	636	131	308	33	10	282	77	-8	+3	—	—	+6	0.2
2023	19	ROK MLE	DSL Brewers 1	—	128	109	23	5	3	0	12	33	3	8	4	211	306	312	618	101	287	26	9	273	71	—	—	—	—	—	—
2023	19	ROK RAW	DSL Brewers 1	—	128	101	30	7	4	0	20	23	3	8	4	297	427	446	873	149	366	18	16	381	71	—	—	—	—	—	—
2024	20	ROK MLE	FCL Yankees	—	198	182	39	10	3	3	14	61	2	16	3	214	278	352	629	137	305	31	7	267	67	—	—	—	—	—	—
2024	20	ROK RAW	FCL Yankees	—	198	173	53	16	4	4	23	41	2	16	3	306	394	514	908	208	383	21	12	399	67	—	—	—	—	—	—
2025	21	A MLE	Tampa Tarpons	—	286	252	53	13	4	4	28	95	2	24	4	210	294	341	636	131	312	33	10	282	77	—	—	—	—	—	—
2025	21	A RAW	Tampa Tarpons	—	286	242	68	16	5	4	36	67	2	24	4	281	376	438	814	157	366	23	13	358	77	—	—	—	—	—	—
2023	19	ROK MLE	DSL Brewers 1	—	128	112	23	5	3	0	12	33	3	8	4	205	306	304	610	98	271	26	9	273	71	—	—	—	—	—	—
2024	20	ROK MLE	FCL Yankees	—	198	180	39	10	3	3	14	61	2	16	3	217	278	356	633	139	298	31	7	267	67	—	—	—	—	—	—
2025	21	A MLE	Tampa Tarpons	—	286	254	53	13	4	4	28	95	2	24	4	209	294	339	633	130	308	33	10	282	77	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	DSL Brewers 1	—	128	112	23	5	3	0	12	33	3	8	4	205	306	304	610	98	271	26	9	273	71	—	—	—	—	—	—
2024	20	ROK MLE	FCL Yankees	—	198	180	39	10	3	3	14	61	2	16	3	217	278	356	633	139	298	31	7	267	67	—	—	—	—	—	—
2025	21	A MLE	Tampa Tarpons	—	286	254	53	13	4	4	28	95	2	24	4	209	294	339	633	130	308	33	10	282	77	—	—	—	—	—	—
YTD	22	A+ MLE	MIA	—	412	369	75	18	2	10	32	138	5	10	7	203	276	344	620	141	286	33	8	273	71	-14	-1	+0	-4	+9	-1.1
▸ 2026 season
YTD	22	A+ RAW	MIA	—	412	355	91	23	3	13	45	102	5	10	7	256	347	448	795	192	317	25	11	348	71	—	—	—	—	—	—
ROS	22	A+ MLE	MIA	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		271	33	11	267	67	-0	+0	+0	-0	+0	-0.0
TOT	22	A+ MLE	MIA	—	421	377	76	18	2	10	33	141	5	10	7	202	275	340	614	138	284	33	8	273	71	-15	-1	+0	-5	+9	-1.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	MIA	35%	405	364	74	17	3	9	34	122	4	9	4	203	279	341	619	137	273	30	8	278	74	-12	+0	+0	-4	+9	-0.8
2028	24	MLB MLE	MIA	46%	456	411	85	19	3	11	38	134	4	10	4	207	280	348	628	141	276	29	8	285	79	-11	+0	+0	-5	+10	-0.6
2029	25	MLB MLE	MIA	52%	479	430	90	20	3	12	41	138	5	11	5	209	286	353	639	144	277	29	9	289	82	-10	+0	+0	-5	+10	-0.5
2030	26	MLB MLE	MIA	54%	491	441	93	21	3	13	42	141	5	11	5	211	287	361	647	150	277	29	9	291	83	-10	+0	+0	-5	+11	-0.4
2031	27	MLB MLE	MIA	54%	492	441	93	21	3	13	43	141	5	11	5	211	288	361	649	150	276	29	9	291	83	-10	+0	+0	-5	+11	-0.4
2027	23	MLB CTX	MIA	35%	140	126	24	5	1	3	12	42	1	3	1	190	266	317	584	127	265	30	9	263	74	-4	+0	+0	-2	+3	-0.3
2028	24	MLB CTX	MIA	46%	211	189	37	8	1	5	18	62	2	5	2	196	273	328	601	132	267	29	9	270	79	-5	+0	+0	-2	+5	-0.3
2029	25	MLB CTX	MIA	52%	248	223	46	10	2	6	21	71	2	6	2	206	280	350	630	143	268	29	8	274	82	-5	+0	+0	-3	+5	-0.2
2030	26	MLB CTX	MIA	54%	266	238	49	10	2	7	23	76	3	6	3	206	284	353	637	147	268	29	9	275	83	-5	+0	+0	-3	+6	-0.3
2031	27	MLB CTX	MIA	54%	267	239	49	10	2	7	23	77	3	6	3	205	283	351	634	146	268	29	9	275	83	-5	+0	+0	-3	+6	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1132	1015	205	43	8	28	97	328	11	26	11	202	279	343	622	141	267	29	9	272	79	-26	+1	+0	-12	+25	-1.3
/ 162G	—	A+C		—	650	583	118	25	5	16	56	188	6	15	6	202	279	345	624	142	267	29	9	272	79	-15	+0	+0	-7	+14	-0.7
Career	—	MLE		—	2944	2638	551	126	25	65	253	868	30	100	34	209	286	350	635	141	282	29	9	285	79	-55	+1	+0	-25	+51	-2.8
/ 162G	—	MLE		—	650	582	122	28	6	14	56	192	7	22	8	210	287	351	637	141	284	30	9	285	79	-15	+0	+0	-7	+14	-0.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#2Gregory 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
#3Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#4Dayan Viciedolast yr '14 career totals — 5 seasons, 1,798 PA	2.7	1,798	66	2	254	298	424	-18	-29	0.3	0.3
/162	664	24	1	-6.6	-10.7	0.1	pk7: 0
#5Hunter Dozierlast yr '23 career totals — 6 seasons, 2,294 PA	3.5	2,294	73	19	238	305	421	-23	-45	0.0	0.0
/162	664	21	5	-6.5	-13.2	0.0	pk7: 0
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.7	1,133	29	26	211	283	358	-12	-2	-0.5	-0.3
/162	664	17	15	-7.1	-1.2	-0.3	pk7: 0
#6Domonic Brownlast yr '15 career totals — 6 seasons, 1,748 PA	2.6	1,748	54	23	246	305	405	-19	-39	-1.1	-1.1
/162	664	21	9	-7.1	-14.7	-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
Brian Sanchez (OGILVIE)	22	45	35	60	50	193/267/321	128	271	6	9	32%	8%	67	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Hoy Park 2018 · A	22	43→49	39→45	58→55	46	205/275/296	91	274	6	17	26%	8%	63	-1.3	223/300/306	83	296	5	16	24%	9%	75	-0.5	228/317/324	96	297	8	17	24%	11%	83	+0.0
✕Chandler Simpson 2023 · A	22	49→59	38→30	56→70	48	228/294/313	86	300	4	17	24%	8%	74	-0.5	270/314/320	50	311	1	59	13%	6%	82	-0.0	303/337/348	46	336	0	63	10%	5%	93	+0.8
✕Victor Scott II 2023 · A	22	44→54	44→40	58→65	51	211/296/334	123	285	10	19	28%	10%	80	-0.1	223/284/317	94	282	7	44	22%	6%	71	-0.8	218/282/304	85	275	7	49	22%	6%	66	-1.0
✕Adonis Pacheco 2013 · A	22	45	39→50	57→55	45	213/271/312	99	277	4	16	24%	7%	65	-1.2	204/258/296	92	260	5	11	22%	6%	56	-1.9	160/206/240	80	191	3	9	17%	6%	22	-1.2
✕Chris Pieters 2017 · A	22	48	39→45	54→55	49	226/307/315	88	296	6	17	24%	8%	80	-0.2	207/265/296	89	292	5	12	29%	6%	59	-1.7	197/253/289	92	277	5	13	29%	6%	51	-0.8
✕Kier Meredith 2022 · A	22	42	36→30	51→60	45	197/268/264	67	279	4	12	29%	8%	53	-2.1	210/306/281	71	297	4	26	28%	9%	73	-0.6	226/338/275	49	304	3	35	23%	10%	81	-0.0
✕Carlos Rodríguez 2023 · A	22	46→56	38→40	51→55	44	218/277/303	85	299	5	16	28%	7%	65	-1.2	249/302/325	76	299	4	15	17%	7%	78	-0.3	250/303/320	70	288	5	18	14%	7%	75	-0.4
✕Roger Bernadina 2006 · A	22	40→50	44→45	54→60	50	202/283/312	110	254	12	20	25%	9%	71	-0.8	236/296/330	94	314	8	26	25%	7%	78	-0.3	261/318/385	124	324	11	31	22%	7%	95	+0.9
✕Jakob Marsee 2023 · A	22	44→48	43→45	58→60	54	211/315/327	116	289	9	21	28%	12%	86	+0.3	215/313/338	123	273	13	33	24%	11%	88	+0.5	211/310/338	127	264	13	40	24%	11%	84	+0.2
✕Juan Perez 2014 · A	22	44→51	41→45	53→55	41	214/259/320	106	274	8	18	25%	5%	62	-1.4	210/250/306	96	272	7	16	25%	5%	55	-1.9	223/266/335	112	289	12	24	27%	5%	66	-0.7
✕Troy Montgomery 2017 · A	22	46→55	43→40	50	44	225/286/341	115	295	10	12	26%	7%	78	-0.3	230/296/326	96	310	7	13	26%	8%	77	-0.3	238/308/327	90	320	6	14	25%	9%	79	-0.1
✕Kevin Kramer 2016 · A	22	46→54	40→45	54→50	44	220/276/315	95	281	6	12	24%	6%	68	-1.0	244/300/352	108	310	7	8	22%	6%	85	+0.2	251/305/365	114	325	8	8	24%	6%	88	+0.3
✕Darrell Ceciliani 2012 · A	22	47→53	39→45	52→55	44	223/282/309	86	298	6	16	26%	6%	68	-1.0	241/288/334	93	322	6	18	26%	5%	76	-0.4	250/289/355	105	331	8	26	26%	4%	79	-0.1
✕Ezequiel Pagan 2022 · A	22	44→53	42→45	52→50	39	217/265/326	109	278	9	9	25%	4%	66	-1.1	234/285/342	108	286	11	10	21%	5%	77	-0.3	228/281/329	100	277	11	12	21%	5%	70	-0.6
✕Jason Denham 2008 · A	22	44→45	38→40	51→55	44	211/269/283	72	288	6	16	28%	7%	57	-1.8	224/284/319	95	288	9	18	24%	7%	72	-0.7	227/292/316	89	272	11	27	20%	8%	73	-0.3
✕Carlos Guzman 2008 · A	22	39→48	43→50	53→50	44	194/277/307	113	282	11	9	33%	9%	68	-1.0	224/272/334	110	313	11	8	30%	6%	70	-0.8	234/286/330	96	304	9	3	25%	6%	72	-0.3
✕Leon Johnson 2008 · A	23	49	40	58→60	50	229/302/326	97	301	6	22	24%	9%	80	-0.2	218/282/296	78	282	5	17	23%	7%	65	-1.2	200/262/221	21	248	0	22	18%	6%	38	-0.7
✕Bobby Boyd 2015 · A	22	43→53	38→45	54→60	43	209/260/285	76	280	5	15	27%	6%	55	-2.0	230/275/314	84	317	5	23	27%	6%	66	-1.1	238/283/324	86	324	4	28	27%	6%	69	-0.8
✕Michael Siani 2021 · A	22	43→45	38→40	53→60	40	205/260/281	76	283	6	21	29%	6%	53	-2.1	198/268/295	97	271	9	28	28%	8%	61	-1.5	207/279/299	92	270	8	33	25%	8%	63	-1.1
✕Forrest Wall 2018 · A	22	45→55	40→45	50→70	43	220/271/313	93	286	8	16	25%	6%	65	-1.2	216/276/323	107	300	9	19	29%	7%	70	-0.9	253/326/354	101	349	8	50	27%	9%	92	+0.5

Career Stats + Projections

Career Comps

Career Path Comps