Bryan Gonzalez Garcia

Bryan Gonzalez GarciaSS Ontario Tower Buzzers

Age 21 R/R 5'8" / 161 lbs A HR +8%BB -8% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION168 act + 17 ros · stats below = ROS only

showingROS

wRC+†59

AVG/OBP/SLG.188 / .235 / .250

PA17

HR0

K%29

BB%6

BABIP273

ISO62

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$6M ctrl surplus

Tools · ContractCON 38 / POW 38

Toolsscout grade

CONTACT38

scouting grade only

POWER38

scouting grade only

EYE48

scouting grade only

SPEED49

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	+0.1	$0.3M	+$0.0M (cut)
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$1.0M	—	—	—
2034	Arb-1	$0.4M	—	—	—
2035	Arb-2	$5M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.1M	+$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	18	ROK	ACL Dodgers	—	35	32	7	0	0	0	2	7	1	2	0	219	286	219	504		280	20	6	242	50	-2	+0	—	—	+1	-0.1
2024	19	ROK	ACL Dodgers	—	29	23	3	1	0	0	6	6	0	2	0	130	310	174	484	43	176	21	21	251	56	-2	+0	—	—	+1	-0.0
2024	19	INTL	Gigantes de Carolina	—	44	41	10	1	0	0	2	10	0	1	0	244	279	268	547	24	323	23	5	246	53	-2	+0	—	—	+1	-0.1
2025	20	ROK	ACL Dodgers	—	133	118	21	2	0	1	9	28	4	1	1	178	260	220	480	42	220	21	7	227	40	-10	-0	—	—	+3	-0.7
2025	20	INTL	Criollos de Caguas	—	15	11	1	0	0	0	1	1	2	0	0	91	286	91	377		91	7	7	205	25	-1	+0	—	—	+0	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	18	ROK MLE	ACL Dodgers	—	35	33	5	0	0	0	1	10	1	2	0	152	200	152	352		238	29	3	177	6	-4	+0	—	—	+1	-0.3
2024	19	ROK MLE	ACL Dodgers	—	29	26	3	1	0	0	3	9	0	2	0	115	207	154	361	38	137	31	10	161	-5	-4	+0	—	—	+1	-0.3
2025	20	ROK MLE	ACL Dodgers	—	133	121	16	1	0	1	6	41	4	1	1	132	198	165	364	33	183	31	5	163	-4	-16	-0	—	—	+3	-1.4
2023	18	ROK MLE	ACL Dodgers	—	35	33	5	0	0	0	1	10	1	2	0	152	200	152	352		217	29	3	177	6	—	—	—	—	—	—
2023	18	ROK RAW	ACL Dodgers	—	35	32	7	0	0	0	2	7	1	2	0	219	286	219	504		280	20	6	242	6	—	—	—	—	—	—
2024	19	INTL MLE	2 teams	—	73	63	6	2	0	0	9	22	0	3	0	95	208	127	335	32	146	30	12	161	-5	—	—	—	—	—	—
2024	19	INTL RAW	2 teams	—	73	64	13	2	0	0	8	16	0	3	0	203	292	234	526	31	271	22	11	248	-5	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	148	133	18	1	0	1	6	45	6	1	1	135	207	165	372	30	189	30	4	163	-4	—	—	—	—	—	—
2025	20	ROK RAW	2 teams	—	148	129	22	2	0	1	10	29	6	1	1	171	262	209	471	39	206	20	7	225	-4	—	—	—	—	—	—
2023	18	ROK MLE	ACL Dodgers	—	35	33	5	0	0	0	1	10	1	2	0	152	200	152	352		238	29	3	177	6	—	—	—	—	—	—
2024	19	INTL MLE	2 teams	—	73	64	6	2	0	0	9	22	0	3	0	94	208	125	333	31	137	30	12	161	-5	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	148	135	18	1	0	1	6	45	6	1	1	133	207	163	370	30	183	30	4	163	-4	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	ACL Dodgers	—	35	33	5	0	0	0	1	10	1	2	0	152	200	152	352		238	29	3	177	6	—	—	—	—	—	—
2024	19	INTL MLE	2 teams	—	73	64	6	2	0	0	9	22	0	3	0	94	208	125	333	31	137	30	12	161	-5	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	148	135	18	1	0	1	6	45	6	1	1	133	207	163	370	30	183	30	4	163	-4	—	—	—	—	—	—
YTD	21	A MLE	LAD	—	168	152	30	9	1	2	13	52	2	2	1	197	269	309	579	112	283	31	8	246	52	-10	+0	+0	+2	+4	-0.4
▸ 2026 season
YTD	21	ROK RAW	LAD	—	79	66	20	6	0	2	12	12	1	2	1	303	418	485	903	182	346	15	15	403	52	—	—	—	—	—	—
YTD	21	A RAW	LAD	—	89	79	18	6	1	0	8	26	1	0	0	228	307	329	636	101	333	29	9	288	52	—	—	—	—	—	—
ROS	21	A MLE	LAD	0%	17	16	3	1	0	0	1	5	0	0	0	188	235	250	485	62	278	29	6	255	59	-1	+0	+0	+0	+0	-0.0
TOT	21	A MLE	LAD	—	185	168	33	10	1	2	14	57	2	2	1	196	266	304	570	107	282	31	8	246	53	-10	+0	+0	+2	+4	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	LAD	34%	244	222	45	9	1	4	17	70	3	4	1	203	269	306	575	104	277	29	7	262	63	-11	+0	+0	+3	+5	-0.2
2028	23	MLB MLE	LAD	48%	346	314	67	14	2	6	25	96	4	6	2	213	280	328	608	115	279	28	7	270	69	-13	+0	+0	+4	+7	-0.1
2029	24	MLB MLE	LAD	53%	416	377	80	16	2	8	31	114	5	7	2	212	281	329	610	117	281	27	7	275	72	-14	+1	+0	+4	+9	0.0
2030	25	MLB MLE	LAD	55%	454	412	88	18	2	9	34	124	5	8	3	214	282	333	614	119	281	27	7	277	74	-14	+0	+0	+5	+10	0.1
2031	26	MLB MLE	LAD	56%	477	433	92	19	2	9	36	130	5	9	3	212	281	328	609	115	281	27	8	277	74	-15	+1	+0	+5	+10	0.1
2032	27	MLB MLE	LAD	55%	485	440	93	19	2	9	37	133	5	9	3	211	280	325	605	114	281	27	8	278	74	-15	+1	+0	+5	+11	0.1
2033	28	MLB MLE	LAD	55%	486	441	93	19	2	9	37	134	5	9	3	211	280	324	604	113	281	28	8	277	73	-15	+1	-1	+5	+11	0.0
2034	29	MLB MLE	LAD	53%	480	435	92	19	2	9	37	133	5	8	3	211	281	326	607	115	280	28	8	275	72	-16	+0	-1	+5	+10	-0.1
2035	30	MLB MLE	LAD	53%	472	428	90	18	2	9	36	132	5	8	3	210	279	325	604	114	279	28	8	272	70	-17	+0	-2	+5	+10	-0.3
2027	22	MLB CTX	LAD	34%	84	77	15	3	0	1	6	24	1	1	0	195	262	273	535	78	273	29	7	252	63	-4	+0	+0	+1	+2	-0.1
2028	23	MLB CTX	LAD	48%	168	152	31	6	1	3	12	47	2	3	1	204	271	316	587	112	275	28	7	260	69	-6	+0	+0	+2	+4	-0.1
2029	24	MLB CTX	LAD	53%	219	199	41	8	1	4	16	60	2	4	1	206	272	317	588	111	276	27	7	265	72	-7	+0	+0	+2	+5	0.0
2030	25	MLB CTX	LAD	55%	248	225	48	10	1	5	18	68	3	4	1	213	280	333	614	120	277	27	7	267	74	-8	+0	+0	+3	+5	0.1
2031	26	MLB CTX	LAD	56%	265	240	50	10	1	5	20	72	3	5	2	208	278	321	598	113	277	27	8	267	74	-8	+0	+0	+3	+6	0.1
2032	27	MLB CTX	LAD	55%	267	242	50	10	1	5	20	73	3	5	2	207	275	318	594	112	277	27	7	268	74	-8	+0	+0	+3	+6	0.1
2033	28	MLB CTX	LAD	55%	266	241	50	10	1	5	20	73	3	5	1	207	277	320	596	112	276	27	8	267	73	-8	+1	-0	+3	+6	0.0
2034	29	MLB CTX	LAD	53%	256	231	49	10	1	5	20	71	3	4	1	212	283	329	612	117	276	28	8	265	72	-8	+0	-1	+3	+6	-0.1
2035	30	MLB CTX	LAD	53%	248	224	46	9	1	5	19	69	3	4	1	205	276	321	598	116	275	28	8	263	70	-9	+0	-1	+3	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2021	1831	380	76	8	38	151	557	23	35	10	208	276	320	596	113	275	28	7	265	67	-67	+3	-2	+22	+44	-0.1
/ 162G	—	A+C		—	650	589	122	24	3	12	49	179	7	11	3	207	276	319	596	112	274	28	8	265	67	-22	+1	-1	+7	+14	-0.0
Career	—	MLE		—	4133	3747	772	155	17	73	307	1148	49	74	24	206	275	315	590	109	275	28	7	267	67	-130	+4	-4	+42	+84	-0.5
/ 162G	—	MLE		—	650	589	121	24	3	11	48	181	8	12	4	205	274	312	587	107	275	28	7	267	67	-22	+1	-1	+7	+14	-0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#2Ronny 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
#3Chris 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
#4Adam 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
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.3	2,163	39	37	212	277	327	+23	+18	1.2	1.3
/162	664	12	11	+7.1	+5.5	0.4	pk7: 1
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-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
Bryan Gonzalez Garcia (OGILVIE)	21	33→38	33→38	44→49	48	198/262/294	95	278	2	2	29%	7%	59	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/298/304	85	284	8	4	24%	7%	74	-0.5	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕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
✕Tomás Nido 2015 · A	21	44→43	39→45	49→30	43	212/267/299	87	285	6	7	27%	6%	61	-1.5	230/261/332	102	302	9	2	26%	4%	65	-1.2	238/272/346	108	283	9	0	19%	4%	71	-0.5
✕Jonathan Ornelas 2021 · A	21	42→52	39→45	50	41	204/263/293	89	285	6	11	29%	6%	58	-1.7	228/278/329	101	310	10	10	28%	6%	72	-0.7	235/295/316	82	324	8	12	28%	7%	72	-0.6
✕Jorge Alcantara 2013 · A	21	42	41→45	50	43	201/271/299	98	298	8	11	33%	8%	63	-1.4	193/263/287	94	294	6	14	34%	8%	57	-1.8	147/226/244	97	221	6	25	34%	8%	33	-1.0
✕Arturo De Freitas 2022 · A	21	43	38→45	50→40	39	205/264/287	82	287	5	8	29%	5%	57	-1.8	173/225/248	75	289	7	4	40%	6%	33	-3.6	143/191/216	73	246	8	0	44%	5%	11	-1.5
✕Francisco Acuna 2021 · A	21	44→48	37→45	49→50	42	208/267/284	76	290	4	7	28%	6%	57	-1.8	193/273/282	89	275	6	10	30%	7%	61	-1.5	217/289/313	96	287	8	16	26%	7%	70	-0.4
✕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
✕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
✕Kyle Nevin 2023 · A	21	41→38	40	52→50	39	198/250/294	96	274	6	10	29%	5%	53	-2.1	216/274/318	102	332	9	10	35%	7%	68	-1.0	210/271/306	96	328	9	12	36%	7%	61	-0.9
✕Braulio Vasquez 2019 · A	20	43	38→40	47→65	40	207/259/281	74	295	5	11	30%	6%	53	-2.1	191/260/268	77	304	6	15	36%	7%	51	-2.2	188/266/266	78	286	5	32	33%	7%	52	-0.9
✕Glenn Santiago 2023 · A	22	41	41→40	46→45	39	201/255/297	96	286	8	8	32%	6%	55	-1.9	198/263/285	87	291	7	9	32%	7%	57	-1.8	182/254/257	75	267	7	8	32%	8%	46	-1.1
✕Jose Bellorin 2011 · A	20	42	39→40	47→50	42	203/257/285	81	265	6	10	25%	6%	53	-2.1	223/280/308	85	271	6	9	19%	6%	68	-1.0	239/295/316	78	276	6	10	15%	6%	73	-0.3
✕Adan Velazquez 2011 · A	21	42→52	41→45	52→50	40	203/262/305	102	282	7	10	29%	6%	60	-1.6	219/266/310	91	294	7	9	27%	5%	63	-1.4	243/282/332	89	297	7	6	20%	4%	70	-0.5
✕Luis Palacios 2010 · A	21	39	39→40	46→50	36	192/235/276	84	265	7	5	30%	4%	43	-2.8	192/239/270	78	302	5	7	36%	5%	43	-2.8	140/190/175	36	236	0	6	38%	6%	0	-1.0
✕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
✕Yeldrys Molina 2009 · A	20	43	38→40	48→50	44	206/265/287	82	281	4	9	27%	7%	57	-1.8	194/252/272	78	285	4	8	31%	7%	49	-2.4	139/198/200	60	203	0	9	29%	6%	11	-1.2
✕Claudio Finol 2022 · A	22	40	38→40	46→45	40	194/253/278	85	271	5	6	29%	6%	51	-2.3	196/253/280	84	275	6	9	29%	6%	51	-2.2	192/260/271	78	271	9	12	31%	7%	51	-0.6
✕Jordyn Adams 2021 · A	21	41	40→45	47→60	42	200/264/290	90	290	8	9	32%	7%	58	-1.7	191/247/278	87	313	7	24	39%	6%	49	-2.4	188/249/290	102	288	11	26	37%	7%	50	-1.3
✕Tucker Mitchell 2022 · A	21	42	40→45	51→45	39	201/262/293	92	296	7	7	33%	6%	57	-1.8	195/269/306	111	299	13	8	37%	7%	65	-1.2	180/257/292	111	259	15	7	35%	7%	55	-0.8

Career Stats + Projections

Career Comps

Career Path Comps