Oswaldo Osorio — OGILVIE

Oswaldo OsorioSS Ontario Tower Buzzers

Age 21 L/R 6'1" / 171 lbs A HR +8%BB -8% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION321 act + 10 ros · stats below = ROS only

showingROS

wRC+†62

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%40

BB%10

BABIP248

ISO96

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$4M ctrl surplus

Tools · ContractCON 20 / POW 30

Toolsscout grade

CONTACT20

scouting grade only

POWER30

scouting grade only

EYE60

scouting grade only

SPEED50

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	+0.2	$0.5M	+$0.0M
2034	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-2	$1M	—	—	—
2036	Arb-3	$1.0M	—	—	—
Totals		$3M		$2M	+$0.6M

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 LAD Bautista	—	187	138	33	4	5	6	39	44	8	11	7	239	432	471	903	232	300	24	21	401	158	+13	-1	—	—	+4	1.7
2023	18	ROK	ACL Dodgers	—	201	164	43	6	3	6	29	54	7	1	1	262	395	445	840	183	352	27	14	377	141	+10	-0	—	—	+4	1.4
2024	19	A	Rancho Cucamonga Quakes	—	291	247	48	13	1	2	34	85	10	1	3	194	316	279	596	85	287	29	12	284	78	-8	-1	—	—	+6	-0.2
2025	20	A	Rancho Cucamonga Quakes	—	201	159	22	0	0	5	36	69	6	7	4	138	318	233	551	94	200	34	18	275	72	-7	-0	—	—	+4	-0.2
2025	20	ROK	ACL Dodgers	—	34	32	12	3	0	0	1	12	1	0	0	375	412	469	881	94	600	35	3	395	153	+2	+0	—	—	+1	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL LAD Bautista	—	187	151	26	3	4	5	26	62	8	11	7	172	324	344	669	172	231	33	14	288	81	-4	-1	—	—	+4	-0.1
2023	18	ROK MLE	ACL Dodgers	—	201	175	32	4	2	4	18	77	7	1	1	183	285	297	582	114	281	38	9	257	60	-10	-0	—	—	+4	-0.6
2024	19	A MLE	Rancho Cucamonga Quakes	—	291	255	36	10	1	1	26	118	10	1	3	141	247	200	447	59	246	41	9	206	26	-26	-1	—	—	+6	-2.1
2025	20	A MLE	Rancho Cucamonga Quakes	—	201	169	16	0	0	4	26	94	6	7	4	95	239	166	404	71	171	47	13	198	20	-19	-0	—	—	+4	-1.5
2025	20	ROK MLE	ACL Dodgers	—	34	32	7	1	0	0	1	17	1	0	0	219	265	250	515	31	469	50	3	229	41	-2	+0	—	—	+1	-0.2
2022	17	ROK MLE	DSL LAD Bautista	—	187	151	26	3	4	5	26	62	8	11	7	172	324	344	669	172	244	33	14	288	81	—	—	—	—	—	—
2022	17	ROK RAW	DSL LAD Bautista	—	187	138	33	4	5	6	39	44	8	11	7	239	432	471	903	232	300	24	21	401	81	—	—	—	—	—	—
2023	18	ROK MLE	ACL Dodgers	—	201	175	32	4	2	4	18	77	7	1	1	183	285	297	582	114	295	38	9	257	60	—	—	—	—	—	—
2023	18	ROK RAW	ACL Dodgers	—	201	164	43	6	3	6	29	54	7	1	1	262	395	445	840	183	352	27	14	377	60	—	—	—	—	—	—
2024	19	A MLE	Rancho Cucamonga Quakes	—	291	255	36	10	1	1	26	118	10	1	3	141	247	200	447	59	257	41	9	206	26	—	—	—	—	—	—
2024	19	A RAW	Rancho Cucamonga Quakes	—	291	247	48	13	1	2	34	85	10	1	3	194	316	279	596	85	287	29	12	284	26	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	235	201	23	1	0	4	27	111	7	7	4	114	243	179	422	65	221	47	11	202	23	—	—	—	—	—	—
2025	20	A RAW	2 teams	—	235	191	34	3	0	5	37	81	7	7	4	178	332	272	604	94	276	34	16	293	23	—	—	—	—	—	—
2022	17	ROK MLE	DSL LAD Bautista	—	187	151	26	3	4	5	26	62	8	11	7	172	324	344	669	172	231	33	14	288	81	—	—	—	—	—	—
2023	18	ROK MLE	ACL Dodgers	—	201	174	32	4	2	4	18	77	7	1	1	184	285	299	584	115	281	38	9	257	60	—	—	—	—	—	—
2024	19	A MLE	Rancho Cucamonga Quakes	—	291	253	36	10	1	1	26	118	10	1	3	142	247	202	449	59	246	41	9	206	26	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	235	199	23	1	0	4	27	111	7	7	4	116	243	181	423	65	214	47	11	202	23	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	ACL Dodgers	—	201	174	32	4	2	4	18	77	7	1	1	184	285	299	584	115	281	38	9	257	60	—	—	—	—	—	—
2024	19	A MLE	Rancho Cucamonga Quakes	—	291	253	36	10	1	1	26	118	10	1	3	142	247	202	449	59	246	41	9	206	26	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	235	199	23	1	0	4	27	111	7	7	4	116	243	181	423	65	214	47	11	202	23	—	—	—	—	—	—
YTD	21	A MLE	LAD	—	321	286	52	8	2	13	28	118	5	1	2	182	266	360	627	178	248	37	9	272	70	-11	-1	+0	+3	+7	-0.2
▸ 2026 season
YTD	21	ROK RAW	LAD	—	98	86	19	4	2	3	10	29	2	0	2	221	316	419	735	198	296	30	10	328	70	—	—	—	—	—	—
YTD	21	A RAW	LAD	—	223	188	48	7	1	13	30	57	3	1	0	255	367	511	877	255	292	26	13	382	70	—	—	—	—	—	—
ROS	21	A MLE	LAD	0%	10	9	1	0	0	0	1	4	0	0	0	111	200	111	311		252	40	10	260	62	-0	+0	+0	+0	+0	-0.0
TOT	21	A MLE	LAD	—	331	295	53	8	2	13	29	122	5	1	2	180	264	353	617	173	247	37	9	271	70	-12	-1	+0	+4	+7	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	LAD	34%	349	307	56	9	2	10	33	121	6	3	2	182	275	322	597	140	256	35	9	271	69	-13	-0	+0	+4	+8	-0.2
2028	23	MLB MLE	LAD	48%	424	374	71	12	2	13	40	141	7	5	3	190	280	337	617	147	260	33	9	279	75	-13	-0	+0	+5	+9	0.1
2029	24	MLB MLE	LAD	53%	472	416	81	14	2	15	45	154	8	6	4	195	286	346	632	151	263	33	10	285	79	-12	-0	+0	+5	+10	0.3
2030	25	MLB MLE	LAD	55%	495	437	86	15	2	16	47	159	8	7	5	197	287	350	637	153	264	32	9	288	81	-11	-1	+0	+5	+11	0.4
2031	26	MLB MLE	LAD	56%	508	446	88	15	2	17	49	163	8	8	5	197	288	354	643	157	264	32	10	289	82	-11	-0	+0	+5	+11	0.5
2032	27	MLB MLE	LAD	55%	511	448	88	15	2	17	50	165	8	8	5	196	289	353	641	156	264	32	10	289	82	-11	-0	+0	+5	+11	0.5
2033	28	MLB MLE	LAD	55%	508	445	88	15	2	17	50	164	8	8	5	198	290	355	645	157	263	32	10	288	81	-11	-0	-1	+5	+11	0.4
2034	29	MLB MLE	LAD	53%	499	439	85	14	2	16	49	162	8	8	5	194	286	344	630	150	262	32	10	287	80	-12	-0	-1	+5	+11	0.3
2035	30	MLB MLE	LAD	53%	489	430	82	14	2	15	48	160	8	7	5	191	284	337	621	147	261	33	10	284	78	-13	-1	-2	+5	+11	0.1
2036	31	MLB MLE	LAD	56%	476	418	80	13	2	15	47	158	8	7	5	191	285	340	625	148	259	33	10	280	76	-14	-1	-3	+5	+10	-0.2
2027	22	MLB CTX	LAD	34%	120	106	19	3	0	4	11	42	2	1	1	179	269	321	590	142	253	35	9	258	69	-4	-0	+0	+1	+3	-0.1
2028	23	MLB CTX	LAD	48%	205	181	35	6	1	7	19	68	3	2	2	193	281	354	634	160	256	33	9	267	75	-6	-0	+0	+2	+4	0.0
2029	24	MLB CTX	LAD	53%	249	219	42	7	1	8	24	81	4	3	2	192	283	342	626	151	259	33	10	273	79	-6	-0	+0	+3	+5	0.2
2030	25	MLB CTX	LAD	55%	271	239	47	8	1	9	26	87	4	4	3	197	286	351	638	155	260	32	10	276	81	-6	-0	+0	+3	+6	0.2
2031	26	MLB CTX	LAD	56%	283	249	49	8	1	10	27	91	5	4	3	197	288	357	646	161	260	32	10	277	82	-6	-0	+0	+3	+6	0.3
2032	27	MLB CTX	LAD	55%	281	247	49	8	1	10	27	90	5	4	3	198	290	360	651	162	260	32	10	277	82	-6	-0	+0	+3	+6	0.3
2033	28	MLB CTX	LAD	55%	278	244	47	8	1	9	27	90	5	4	3	193	286	344	630	152	259	32	10	276	81	-6	-0	-0	+3	+6	0.2
2034	29	MLB CTX	LAD	53%	266	234	45	7	1	9	26	87	4	4	3	192	284	346	630	154	259	33	10	275	80	-6	-0	-1	+3	+6	0.1
2035	30	MLB CTX	LAD	53%	257	226	43	7	1	8	25	84	4	4	3	190	282	336	619	146	258	33	10	272	78	-7	-0	-1	+3	+6	0.0
2036	31	MLB CTX	LAD	56%	269	236	45	7	1	9	27	89	4	4	3	191	285	343	628	153	255	33	10	269	76	-8	-0	-2	+3	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2479	2181	421	69	9	83	239	809	40	34	26	193	285	347	632	154	260	33	10	273	73	-62	-4	-4	+27	+54	1.1
/ 162G	—	A+C		—	650	572	110	18	2	22	63	212	10	9	7	192	284	346	630	154	258	33	10	273	73	-16	-1	-1	+7	+14	0.3
Career	—	MLE		—	5655	4951	923	154	27	165	556	1919	109	87	59	186	283	328	611	142	262	34	10	276	73	-120	-4	-7	+51	+103	2.3
/ 162G	—	MLE		—	650	569	106	18	3	19	64	221	13	10	7	186	283	329	612	142	262	34	10	276	73	-16	-1	-1	+7	+14	0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny 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
#2Gordon 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
#3Sandy 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
#4J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
#5Adam 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	4.1	2,743	84	38	192	282	339	+29	+18	2.7	2.7
/162	664	20	9	+7.1	+4.4	0.7	pk7: 3
#6Ryan 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

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
Oswaldo Osorio (OGILVIE)	21	20	30	50	60	170/263/298	128	252	7	2	37%	9%	62	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Carlos Rodriguez 2023 · A	20	38	40→45	47→45	46	182/270/274	91	279	8	6	35%	10%	57	-1.8	191/265/269	78	298	5	6	34%	9%	53	-2.1	177/255/266	89	258	8	2	32%	9%	47	-1.0
✕Iverson Leonardo 2023 · A	21	37	44→50	49→50	40	187/257/301	114	274	12	9	35%	7%	58	-1.7	198/280/293	95	349	7	8	41%	9%	65	-1.2	152/277/229	77	359	3	4	50%	12%	49	-0.5
✕Leandro Pineda 2023 · A	21	36→46	39→45	47→45	42	172/250/266	94	272	5	6	36%	8%	48	-2.5	200/267/315	115	279	11	6	30%	7%	65	-1.2	210/283/339	129	268	13	5	26%	7%	74	-0.4
✕Rudy van Heydoorn 2010 · A	21	33	41→45	40→50	41	166/249/256	90	260	9	8	37%	8%	46	-2.6	199/274/309	110	312	10	5	36%	8%	67	-1.1	204/303/338	134	292	14	2	32%	11%	85	+0.1
✕Anthony Seigler 2021 · A	22	42→39	37→45	49→55	47	200/278/275	74	283	5	6	29%	9%	60	-1.6	192/289/299	107	272	9	9	30%	11%	70	-0.8	219/309/345	126	268	10	25	21%	11%	85	+0.2
✕Aaron Bracho 2022 · A	21	33→37	42→45	43→40	40	169/239/271	102	265	10	5	38%	8%	45	-2.7	179/245/294	115	257	13	4	34%	7%	53	-2.1	189/251/313	124	237	16	4	27%	7%	57	-1.0
✕Cole Roederer 2021 · A	21	38→32	43→45	51→50	42	190/258/298	108	281	10	12	34%	8%	57	-1.8	205/269/314	109	303	11	12	34%	7%	65	-1.2	180/254/288	108	265	12	11	34%	8%	53	-1.2
✕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
✕Andry Arias 2021 · A	21	40	40	52→40	41	192/259/281	89	288	7	8	34%	7%	54	-2.0	190/255/290	100	295	9	6	36%	7%	55	-2.0	163/231/263	100	247	9	3	36%	7%	38	-1.0
✕Payton Henry 2018 · A	21	39→31	42→45	46→30	38	189/254/293	104	302	8	3	38%	7%	55	-1.9	184/249/284	100	318	10	2	43%	6%	51	-2.2	242/289/361	119	320	16	1	29%	4%	79	-0.1
✕Ashton McGee 2021 · A	22	41	39→45	50→40	41	194/258/283	89	288	5	5	33%	7%	54	-2.0	201/288/312	111	366	10	4	43%	10%	72	-0.7	185/281/295	109	345	11	2	44%	11%	63	-0.7
✕Jaden Rudd 2023 · A	20	39→36	39→30	49→50	49	188/279/278	90	259	6	12	28%	10%	62	-1.4	179/292/246	67	290	3	14	35%	11%	61	-1.5	155/286/207	52	265	2	16	36%	11%	49	-1.2
✕Randy Florentino 2022 · A	22	34	40→50	43→45	40	169/236/252	83	270	8	6	38%	8%	38	-3.2	193/247/280	87	268	9	6	30%	6%	49	-2.4	188/237/266	78	247	8	4	27%	6%	40	-0.9
✕Willy Diaz 2015 · A	21	36	36→40	45→40	46	170/263/235	65	253	4	5	32%	9%	47	-2.6	187/263/267	80	309	5	4	37%	8%	53	-2.1	184/258/270	86	308	5	2	39%	8%	49	-0.9
✕Livan Soto 2022 · AA	22	36→46	40	50	42	182/238/271	89	250	7	11	30%	6%	43	-2.8	225/293/312	87	303	7	9	26%	8%	74	-0.6	234/307/314	80	309	6	8	24%	9%	77	-0.3
✕Aaron Shipman 2013 · A	21	40→37	35→30	44→50	48	187/266/245	59	273	2	9	30%	9%	49	-2.4	224/306/292	68	309	2	16	25%	10%	74	-0.6	243/332/303	60	328	1	21	23%	11%	81	-0.0
✕Nathan Mikolas 2015 · A	21	40	40	48→45	40	192/263/284	91	288	8	7	34%	7%	57	-1.8	209/269/300	91	305	8	6	32%	6%	62	-1.4	198/259/282	84	287	9	4	32%	6%	52	-0.7
✕Brenden Webb 2011 · A	21	38→39	41→45	53→50	43	184/261/289	104	283	8	7	35%	8%	57	-1.8	183/271/281	98	311	8	10	39%	10%	59	-1.6	169/250/290	121	279	12	10	41%	9%	52	-1.5
✕Je'Von Ward 2021 · A	21	42→35	37→45	47→50	42	196/257/268	73	297	4	8	33%	8%	49	-2.4	200/249/293	93	324	8	10	38%	6%	52	-2.2	191/275/315	124	286	14	8	36%	10%	68	-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

Career Stats + Projections

Career Comps

Career Path Comps