Bryan Andrade — OGILVIE

Bryan AndradeSS Stockton Ports

Age 21 R/R 6'1" / 145 lbs A HR -5% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION460 act + 9 ros · stats below = ROS only

showingROS

wRC+†61

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

PA9

HR0

K%22

BB%11

BABIP275

ISO87

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 40 / POW 20

Toolsscout grade

CONTACT40

scouting grade only

POWER20

scouting grade only

EYE55

scouting grade only

SPEED40

scouting grade only

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
2026	MiLB	still in minors · estimated debut 2031
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	+0.3	$0.8M	+$0.3M
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2034	Arb-1	$1M	+0.2	$0.4M	+$0.0M (cut)
2035	Arb-2	$2M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-3	$1.0M	—	—	—
Totals		$3M		$3M	+$0.8M

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)
2022	17	ROK	DSL Athletics	—	123	101	20	2	0	0	13	19	4	1	0	198	314	218	531	20	233	15	11	251	56	-6	+0	—	—	+3	-0.4
2023	18	ROK	DSL Athletics	—	111	96	18	0	0	0	11	18	3	0	0	188	291	188	478		228	16	10	236	46	-7	+0	—	—	+2	-0.5
2024	19	ROK	ACL Athletics	—	42	42	11	0	1	0	0	12	0	0	1	262	262	310	571	48	367	29	0	254	58	-2	-0	—	—	+1	-0.2
2025	20	A	Stockton Ports	—	152	129	30	4	0	1	21	28	1	1	0	233	344	287	631	54	290	18	14	298	88	-2	+0	—	—	+3	0.1
2025	20	ROK	ACL Athletics	—	92	79	23	2	3	1	9	13	1	2	0	291	371	430	801	139	324	14	10	347	121	+2	+0	—	—	+2	0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Athletics	—	123	106	17	2	0	0	8	29	4	1	0	160	246	179	425	19	191	24	7	192	16	-12	+0	—	—	+3	-1.0
2023	18	ROK MLE	DSL Athletics	—	111	100	14	0	0	0	7	26	3	0	0	140	218	140	358		176	23	6	164	-3	-14	+0	—	—	+2	-1.1
2024	19	ROK MLE	ACL Athletics	—	42	42	8	0	1	0	0	17	0	0	1	190	190	238	429	48	293	40	0	162	-4	-5	-0	—	—	+1	-0.5
2025	20	A MLE	Stockton Ports	—	152	136	27	3	0	1	14	37	1	1	0	199	278	243	521	44	264	24	9	239	48	-9	+0	—	—	+3	-0.6
2025	20	ROK MLE	ACL Athletics	—	92	82	17	1	2	1	6	19	1	2	0	207	270	305	575	98	247	21	7	260	62	-4	+0	—	—	+2	-0.2
2022	17	ROK MLE	DSL Athletics	—	123	106	17	2	0	0	8	29	4	1	0	160	246	179	425	19	210	24	7	192	16	—	—	—	—	—	—
2022	17	ROK RAW	DSL Athletics	—	123	101	20	2	0	0	13	19	4	1	0	198	314	218	531	20	233	15	11	251	16	—	—	—	—	—	—
2023	18	ROK MLE	DSL Athletics	—	111	100	14	0	0	0	7	26	3	0	0	140	218	140	358		187	23	6	164	-3	—	—	—	—	—	—
2023	18	ROK RAW	DSL Athletics	—	111	96	18	0	0	0	11	18	3	0	0	188	291	188	478		228	16	10	236	-3	—	—	—	—	—	—
2024	19	ROK MLE	ACL Athletics	—	42	42	8	0	1	0	0	17	0	0	1	190	190	238	429	48	320	40	0	162	-4	—	—	—	—	—	—
2024	19	ROK RAW	ACL Athletics	—	42	42	11	0	1	0	0	12	0	0	1	262	262	310	571	48	367	29	0	254	-4	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	244	218	45	5	2	2	20	56	2	3	0	206	279	275	554	69	264	23	8	247	53	—	—	—	—	—	—
2025	20	A RAW	2 teams	—	244	208	53	6	3	2	30	41	2	3	0	255	354	341	696	87	304	17	12	316	53	—	—	—	—	—	—
2022	17	ROK MLE	DSL Athletics	—	123	110	17	2	0	0	8	29	4	1	0	155	246	173	418	18	191	24	7	192	16	—	—	—	—	—	—
2023	18	ROK MLE	DSL Athletics	—	111	100	14	0	0	0	7	26	3	0	0	140	218	140	358		176	23	6	164	-3	—	—	—	—	—	—
2024	19	ROK MLE	ACL Athletics	—	42	42	8	0	1	0	0	17	0	0	1	190	190	238	429	48	293	40	0	162	-4	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	244	220	45	5	2	2	20	56	2	3	0	205	279	273	552	68	258	23	8	247	53	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	DSL Athletics	—	111	100	14	0	0	0	7	26	3	0	0	140	218	140	358		176	23	6	164	-3	—	—	—	—	—	—
2024	19	ROK MLE	ACL Athletics	—	42	42	8	0	1	0	0	17	0	0	1	190	190	238	429	48	293	40	0	162	-4	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	244	220	45	5	2	2	20	56	2	3	0	205	279	273	552	68	258	23	8	247	53	—	—	—	—	—	—
YTD	21	A MLE	OAK	—	460	417	84	13	3	9	29	132	8	13	1	201	267	312	578	110	266	29	6	254	58	-23	+2	+0	+5	+10	-0.6
▸ 2026 season
YTD	21	A RAW	OAK	—	460	404	99	17	4	10	42	99	8	13	1	245	328	381	709	136	296	22	9	317	58	—	—	—	—	—	—
ROS	21	A MLE	OAK	0%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		270	22	11	258	61	-0	+0	+0	+0	+0	-0.0
TOT	21	A MLE	OAK	—	469	425	85	13	3	9	30	134	8	13	1	200	266	308	574	108	264	29	6	254	58	-23	+2	+0	+5	+10	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	OAK	34%	404	368	78	12	3	8	28	108	5	6	1	212	277	326	603	114	272	27	7	269	68	-15	+1	+0	+4	+9	-0.1
2028	23	MLB MLE	OAK	48%	462	420	90	14	3	10	33	120	6	6	1	214	281	333	614	119	274	26	7	278	74	-14	+1	+0	+5	+10	0.1
2029	24	MLB MLE	OAK	53%	498	453	98	16	3	11	36	127	6	7	1	216	283	338	621	121	276	26	7	283	78	-13	+1	+0	+5	+11	0.4
2030	25	MLB MLE	OAK	55%	514	465	103	17	3	12	38	130	6	7	1	222	289	348	637	127	276	25	7	286	80	-12	+1	+0	+6	+11	0.5
2031	26	MLB MLE	OAK	56%	521	470	105	17	3	13	39	132	7	7	1	223	293	355	648	132	276	25	7	287	80	-12	+1	+0	+6	+11	0.6
2032	27	MLB MLE	OAK	55%	520	469	103	17	3	12	39	132	7	7	1	220	289	345	635	126	276	25	8	287	80	-12	+1	+0	+6	+11	0.6
2033	28	MLB MLE	OAK	59%	514	464	101	16	3	12	39	131	6	7	1	218	287	343	630	125	276	25	8	286	80	-12	+1	-1	+6	+11	0.5
2034	29	MLB MLE	OAK	61%	504	454	100	16	3	12	39	130	6	6	1	220	291	348	639	128	275	26	8	284	79	-13	+1	-1	+5	+11	0.3
2035	30	MLB MLE	OAK	62%	493	446	96	15	3	11	38	128	6	6	1	215	286	336	622	121	274	26	8	282	77	-14	+1	-2	+5	+11	0.1
2036	31	MLB MLE	OAK	63%	479	433	92	15	3	10	37	126	6	5	1	212	284	330	614	118	272	26	8	278	74	-15	+1	-3	+5	+10	-0.1
2027	22	MLB CTX	OAK	34%	139	126	27	4	1	3	10	37	2	2	0	214	283	333	616	119	277	27	7	263	68	-5	+0	+0	+1	+3	-0.0
2028	23	MLB CTX	OAK	48%	224	203	44	7	1	5	16	58	3	3	0	217	284	335	619	118	279	26	7	271	74	-7	+1	+0	+2	+5	0.1
2029	24	MLB CTX	OAK	53%	263	239	53	9	2	6	19	67	3	4	0	222	287	351	639	130	281	25	7	276	78	-7	+1	+0	+3	+6	0.2
2030	25	MLB CTX	OAK	55%	281	254	57	10	2	6	21	71	4	4	0	224	294	350	644	126	281	25	7	279	80	-7	+1	+0	+3	+6	0.3
2031	26	MLB CTX	OAK	56%	290	263	59	10	2	7	21	73	4	4	0	224	292	357	649	133	281	25	7	280	80	-7	+1	+0	+3	+6	0.3
2032	27	MLB CTX	OAK	55%	286	258	59	10	2	7	22	73	4	4	0	229	299	364	664	136	281	26	8	280	80	-7	+1	+0	+3	+6	0.3
2033	28	MLB CTX	OAK	59%	302	272	61	10	2	7	23	77	4	4	0	224	294	353	647	129	281	25	8	279	80	-7	+1	-0	+3	+7	0.3
2034	29	MLB CTX	OAK	61%	306	276	61	10	2	7	23	79	4	4	0	221	290	348	638	127	280	26	8	278	79	-8	+1	-1	+3	+7	0.2
2035	30	MLB CTX	OAK	62%	306	275	61	10	2	7	24	80	4	4	0	222	294	349	643	127	279	26	8	275	77	-8	+1	-1	+3	+7	0.1
2036	31	MLB CTX	OAK	63%	302	272	59	10	2	6	23	79	4	3	0	217	288	335	622	118	277	26	8	271	74	-9	+1	-2	+3	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2699	2438	541	90	18	61	202	694	36	36	0	222	291	349	640	127	283	26	7	276	72	-72	+7	-4	+29	+58	1.8
/ 162G	—	A+C		—	650	587	131	22	4	15	49	167	9	9	0	223	293	351	644	128	284	26	8	276	72	-17	+2	-1	+7	+14	0.4
Career	—	MLE		—	5438	4916	1051	162	33	113	402	1394	70	68	11	214	283	329	612	115	273	26	7	275	72	-134	+9	-7	+53	+107	2.8
/ 162G	—	MLE		—	650	588	126	19	4	14	48	167	8	8	1	214	283	332	614	117	273	26	7	275	72	-18	+1	-1	+7	+14	0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#2Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#3Gordon 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
#4Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#5Yolmer 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
#6Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.5	3,011	66	39	218	282	338	+32	+18	3.4	3.2
/162	664	15	9	+7.1	+4.0	0.7	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
Bryan Andrade (OGILVIE)	21	40	20	40	55	201/265/298	97	270	5	7	28%	7%	61	-0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Simon Vasquez 2009 · A	21	45	35→40	40→50	49	210/285/271	61	269	2	4	22%	8%	61	-1.5	227/286/308	81	283	4	7	20%	6%	70	-0.9	253/299/341	88	301	2	9	16%	5%	81	-0.0
✕Deivi Mejia 2011 · A	21	40	39→40	43→30	44	193/264/278	85	266	7	5	29%	8%	55	-1.9	212/259/304	92	276	7	4	25%	4%	59	-1.7	224/268/311	87	267	6	1	18%	3%	64	-0.5
✕Franklin Tineo 2016 · A	21	36	38→45	41→50	47	177/258/254	77	247	5	7	29%	9%	48	-2.5	190/264/281	91	260	7	10	28%	8%	56	-1.9	184/261/280	96	239	8	13	25%	8%	53	-0.7
✕Andy Paz 2014 · A	21	45	38→40	42→45	47	212/273/289	77	273	5	5	23%	7%	61	-1.5	202/261/272	70	282	5	5	28%	7%	52	-2.2	218/268/266	48	284	3	6	23%	6%	50	-0.7
✕Imeldo Diaz 2019 · A	21	44	41→40	46→45	41	216/264/307	91	269	9	5	23%	5%	61	-1.5	230/264/310	80	304	5	5	25%	4%	61	-1.5	237/260/299	62	315	3	2	25%	2%	54	-0.6
✕Bill Pujols 2015 · A	21	43	37→40	43→50	46	204/263/281	76	253	4	7	20%	6%	55	-2.0	197/257/271	74	281	3	6	29%	6%	51	-2.3	146/212/197	51	225	0	5	32%	6%	15	-0.9
✕Adrian Abreu 2012 · A	21	39	38→40	47→55	47	190/263/273	82	247	5	9	24%	8%	53	-2.1	212/292/300	88	256	8	17	19%	9%	71	-0.8	209/299/290	80	241	9	25	16%	10%	70	-0.3
✕Jesus Rojas 2007 · A	21	43	39→40	42→45	46	209/277/287	79	272	7	6	25%	8%	62	-1.4	231/291/326	95	301	8	5	24%	8%	76	-0.4	257/314/357	100	322	9	1	22%	8%	91	+0.2
✕Abrahan Gutierrez 2021 · A	21	44→43	39→45	46→40	43	214/262/293	80	273	7	6	24%	6%	57	-1.8	225/298/328	103	300	8	4	26%	8%	80	-0.2	218/296/319	101	289	9	2	26%	8%	74	-0.3
✕Claudio Finol 2021 · A	21	42	37→40	43→45	40	202/249/275	72	266	4	5	25%	5%	47	-2.5	192/249/275	83	270	6	8	29%	6%	49	-2.4	178/246/255	77	255	7	10	31%	7%	42	-0.6
✕Yohander Martinez 2023 · A	21	45	36→30	43→50	52	211/307/270	59	273	5	8	23%	10%	71	-0.8	198/307/266	68	283	5	6	29%	10%	70	-0.8	169/291/224	56	252	4	5	30%	11%	55	-0.6
✕Ramon Mendoza 2022 · A	21	42→49	37→45	43→45	44	198/271/274	75	282	3	5	29%	8%	57	-1.8	197/270/281	84	288	5	5	31%	8%	58	-1.7	230/307/340	110	300	10	3	25%	9%	83	+0.0
✕Cutter Dykstra 2010 · A	21	40→50	40	47→55	43	198/260/282	84	275	8	11	30%	7%	54	-2.0	222/279/297	75	309	6	16	28%	6%	65	-1.2	239/307/326	86	317	6	16	24%	8%	79	-0.1
✕Alfredo Lopez 2011 · A	21	48	37→30	44→50	45	225/290/297	71	291	4	7	23%	7%	69	-0.9	239/304/300	61	304	3	13	21%	7%	74	-0.5	233/289/282	48	288	1	15	18%	6%	62	-0.6
✕Raul Juarez 2018 · A	20	44	38→45	42→40	40	212/269/287	76	277	6	6	25%	5%	59	-1.6	203/254/282	79	289	6	5	30%	5%	52	-2.2	147/189/214	67	208	8	0	33%	3%	9	-1.0
✕Enlly Morales 2011 · A	21	48	37→40	40	45	224/272/296	72	268	3	5	18%	5%	61	-1.5	214/263/281	67	294	3	6	27%	5%	55	-2.0	196/238/233	37	287	0	3	30%	2%	32	-0.6
✕Alexander Campos 2022 · A	22	42	42→40	46→45	48	206/291/311	105	278	9	6	28%	9%	73	-0.6	220/302/308	88	316	7	6	30%	9%	76	-0.4	234/327/306	73	330	7	6	28%	11%	84	+0.1
✕Victor Moscote 2015 · A	21	46	35→30	43→45	41	219/263/276	58	290	3	6	25%	5%	53	-2.1	202/259/260	58	272	2	4	25%	6%	49	-2.4	180/251/225	45	240	1	1	24%	6%	37	-0.9
✕Alex Todd 2012 · A	22	39	37→40	44→45	39	187/248/259	72	259	4	4	28%	5%	45	-2.7	223/289/310	87	301	6	6	26%	6%	72	-0.7	241/310/327	86	323	6	5	25%	5%	81	-0.0
✕Ariel Baez 2012 · A	21	39	41→40	43→45	43	194/265/291	97	265	8	5	29%	7%	59	-1.7	199/257/281	82	285	5	6	30%	6%	53	-2.1	173/227/238	65	246	2	6	29%	5%	30	-1.2

Career Stats + Projections

Career Comps

Career Path Comps