Joendry Vargas — OGILVIE

Joendry VargasSS Ontario Tower Buzzers

Age 20 R/R 6'3" / 175 lbs A HR +8%BB -8% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION554 act + 10 ros · stats below = ROS only

showingROS

wRC+†75

AVG/OBP/SLG.100 / .100 / .100

PA10

HR0

K%30

BB%5

BABIP292

ISO121

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$28M ctrl surplus

Tools · ContractCON 36 / POW 53

Toolsscout grade

CONTACT36

scouting grade only

POWER53

scouting grade only

EYE50

scouting grade only

SPEED48

scouting grade only

DEFENSE50

scouting grade only

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.8	$3M	+$2M
2030	Pre-Arb	$0.9M	+1.0	$6M	+$5M
2031	Pre-Arb	$0.9M	+1.1	$6M	+$5M
2032	Arb-1	$5M	+1.2	$6M	+$3M
2033	Arb-2	$9M	+1.2	$6M	+$1M
2034	Arb-3	$12M	+1.0	$4M	+$0.0M (cut)
Totals		$17M		$31M	+$18M

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	17	ROK	DSL LAD Bautista	—	208	174	57	12	1	7	30	31	1	19	5	328	429	529	958	201	360	15	14	417	168	+17	+2	—	—	+5	2.4
2024	18	ROK	ACL Dodgers	—	171	142	43	9	3	4	21	39	5	11	5	303	408	493	901	190	386	23	12	395	153	+11	+0	—	—	+4	1.5
2025	19	A	Rancho Cucamonga Quakes	—	137	122	27	3	1	4	11	41	1	17	2	221	291	361	652	139	287	30	8	288	81	-3	+3	—	—	+3	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL LAD Bautista	—	208	185	45	9	1	4	19	45	1	19	5	243	317	368	685	124	285	22	9	300	89	-3	+2	—	—	+5	0.4
2024	18	ROK MLE	ACL Dodgers	—	171	152	31	6	2	3	12	57	5	11	5	204	284	329	613	125	293	33	7	272	70	-6	+0	—	—	+4	-0.2
2025	19	A MLE	Rancho Cucamonga Quakes	—	137	125	21	2	1	3	8	56	1	17	2	168	224	272	496	104	243	41	6	216	32	-11	+3	—	—	+3	-0.6
2023	17	ROK MLE	DSL LAD Bautista	—	208	185	45	9	1	4	19	45	1	19	5	243	317	368	685	124	295	22	9	300	89	—	—	—	—	—	—
2023	17	ROK RAW	DSL LAD Bautista	—	208	174	57	12	1	7	30	31	1	19	5	328	429	529	958	201	360	15	14	417	89	—	—	—	—	—	—
2024	18	ROK MLE	ACL Dodgers	—	171	152	31	6	2	3	12	57	5	11	5	204	284	329	613	125	298	33	7	272	70	—	—	—	—	—	—
2024	18	ROK RAW	ACL Dodgers	—	171	142	43	9	3	4	21	39	5	11	5	303	408	493	901	190	386	23	12	395	70	—	—	—	—	—	—
2025	19	A MLE	Rancho Cucamonga Quakes	—	137	125	21	2	1	3	8	56	1	17	2	168	224	272	496	104	261	41	6	216	32	—	—	—	—	—	—
2025	19	A RAW	Rancho Cucamonga Quakes	—	137	122	27	3	1	4	11	41	1	17	2	221	291	361	652	139	287	30	8	288	32	—	—	—	—	—	—
2023	17	ROK MLE	DSL LAD Bautista	—	208	186	45	9	1	4	19	45	1	19	5	242	317	366	683	124	285	22	9	300	89	—	—	—	—	—	—
2024	18	ROK MLE	ACL Dodgers	—	171	152	31	6	2	3	12	57	5	11	5	204	284	329	613	125	293	33	7	272	70	—	—	—	—	—	—
2025	19	A MLE	Rancho Cucamonga Quakes	—	137	127	21	2	1	3	8	56	1	17	2	165	224	268	492	102	243	41	6	216	32	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL LAD Bautista	—	208	186	45	9	1	4	19	45	1	19	5	242	317	366	683	124	285	22	9	300	89	—	—	—	—	—	—
2024	18	ROK MLE	ACL Dodgers	—	171	152	31	6	2	3	12	57	5	11	5	204	284	329	613	125	293	33	7	272	70	—	—	—	—	—	—
2025	19	A MLE	Rancho Cucamonga Quakes	—	137	127	21	2	1	3	8	56	1	17	2	165	224	268	492	102	243	41	6	216	32	—	—	—	—	—	—
YTD	20	A MLE	LAD	—	554	524	128	27	4	10	19	140	6	24	10	244	279	368	647	124	311	25	3	282	77	-15	+1	+0	+6	+12	0.4
▸ 2026 season
YTD	20	A RAW	LAD	—	554	515	151	34	6	12	27	104	6	24	10	293	335	452	788	159	344	19	5	345	77	—	—	—	—	—	—
ROS	20	A MLE	LAD	0%	10	10	1	0	0	0	0	3	0	0	0	100	100	100	200		297	30	0	280	75	-0	+0	-0	+0	+0	0.0
TOT	20	A MLE	LAD	—	564	534	129	27	4	10	19	143	6	24	10	242	275	363	639	122	308	25	3	282	77	-15	+1	-0	+6	+12	0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	LAD	34%	378	354	85	17	3	9	17	93	4	9	3	240	283	381	664	141	296	25	4	292	83	-7	+1	-1	+4	+8	0.5
2028	22	MLB MLE	LAD	48%	609	569	137	27	4	16	29	147	6	14	5	241	285	387	671	146	297	24	5	298	88	-9	+1	-1	+7	+13	1.1
2029	23	MLB MLE	LAD	54%	627	583	143	28	4	18	32	148	7	13	5	245	293	400	692	154	297	24	5	307	94	-5	+1	-1	+7	+14	1.5
2030	24	MLB MLE	LAD	55%	638	592	148	29	4	20	34	149	7	13	5	250	299	414	712	164	298	23	5	312	98	-2	+1	-1	+7	+14	1.8
2031	25	MLB MLE	LAD	56%	637	591	149	29	4	21	34	148	7	13	5	252	301	421	722	169	298	23	5	316	100	-0	+1	-1	+7	+14	2.0
2032	26	MLB MLE	LAD	56%	629	583	146	28	4	21	34	146	7	12	4	250	300	420	720	170	298	23	5	317	101	+1	+1	-1	+7	+14	2.1
2033	27	MLB MLE	LAD	55%	619	573	144	28	4	20	34	144	7	12	4	251	301	419	720	168	298	23	5	317	101	+1	+1	-1	+7	+13	2.1
2034	28	MLB MLE	LAD	55%	609	564	141	27	4	20	34	143	6	11	4	250	300	418	718	168	298	23	6	316	100	+0	+1	-2	+7	+13	1.9
2035	29	MLB MLE	LAD	53%	598	553	137	26	4	19	34	141	6	10	4	248	298	412	711	165	297	24	6	315	99	-1	+0	-3	+6	+13	1.7
2036	30	MLB MLE	LAD	53%	587	543	135	26	4	19	33	140	6	9	3	249	299	416	715	168	297	24	6	312	97	-2	+1	-3	+6	+13	1.5
2037	31	MLB MLE	LAD	52%	576	532	131	25	4	18	33	139	6	9	3	246	298	410	707	164	295	24	6	308	95	-4	+1	-4	+6	+12	1.2
2038	32	MLB MLE	LAD	52%	564	521	125	24	3	17	32	139	6	8	3	240	292	395	687	155	292	25	6	303	91	-6	+0	-5	+6	+12	0.8
2039	33	MLB MLE	LAD	52%	453	421	99	18	3	13	25	114	4	6	2	235	284	385	669	150	288	25	6	296	86	-7	+0	-5	+5	+10	0.2
2040	34	MLB MLE	LAD	47%	407	377	85	15	2	11	23	105	4	4	2	225	277	363	641	138	282	26	6	286	80	-10	+0	-6	+4	+9	-0.2
2027	21	MLB CTX	LAD	34%	130	122	29	6	1	3	6	32	1	3	1	238	279	377	656	139	292	25	5	282	83	-3	+0	-0	+1	+3	0.2
2028	22	MLB CTX	LAD	48%	295	276	66	13	2	8	14	71	3	7	2	239	283	388	671	149	292	24	5	289	88	-4	+1	-1	+3	+6	0.5
2029	23	MLB CTX	LAD	54%	340	316	77	15	2	10	17	80	4	7	3	244	291	399	690	155	293	24	5	297	94	-3	+0	-1	+4	+7	0.8
2030	24	MLB CTX	LAD	55%	354	328	81	16	2	11	19	83	4	7	3	247	296	409	705	162	294	23	5	303	98	-1	+0	-1	+4	+8	1.0
2031	25	MLB CTX	LAD	56%	357	331	83	16	2	12	19	83	4	7	3	251	299	420	719	169	294	23	5	306	100	-0	+0	-1	+4	+8	1.1
2032	26	MLB CTX	LAD	56%	354	328	81	15	2	12	19	82	4	7	2	247	296	415	711	168	294	23	5	308	101	+0	+1	-1	+4	+8	1.2
2033	27	MLB CTX	LAD	55%	342	316	79	15	2	12	19	80	4	7	2	250	301	424	725	174	294	23	6	308	101	+0	+1	-1	+4	+7	1.2
2034	28	MLB CTX	LAD	55%	334	308	76	14	2	11	19	78	4	6	2	247	299	412	711	166	293	23	6	307	100	+0	+0	-1	+4	+7	1.0
2035	29	MLB CTX	LAD	53%	319	295	73	14	2	11	18	75	3	5	2	247	297	420	718	173	293	24	6	306	99	-0	+0	-1	+3	+7	0.9
2036	30	MLB CTX	LAD	53%	309	285	70	13	2	10	18	74	3	5	2	246	297	411	708	165	292	24	6	303	97	-1	+0	-2	+3	+7	0.8
2037	31	MLB CTX	LAD	52%	300	277	68	13	2	10	17	73	3	4	2	245	296	415	711	170	290	24	6	299	95	-2	+0	-2	+3	+6	0.6
2038	32	MLB CTX	LAD	52%	292	271	64	12	1	9	16	72	3	4	1	236	286	387	674	151	287	25	5	294	91	-3	+0	-2	+3	+6	0.4
2039	33	MLB CTX	LAD	52%	234	217	50	9	1	7	13	59	2	3	1	230	280	378	658	147	283	25	6	287	86	-4	+0	-3	+3	+5	0.1
2040	34	MLB CTX	LAD	47%	192	177	40	7	1	5	11	49	2	2	1	226	279	362	641	136	278	26	6	278	80	-5	+0	-3	+2	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4152	3847	937	178	24	131	225	991	44	74	27	244	293	404	697	161	293	24	5	300	93	-24	+4	-19	+44	+90	9.7
/ 162G	—	A+C		—	650	602	148	28	4	21	35	155	7	12	4	246	295	410	705	164	295	24	5	300	93	-4	+1	-3	+7	+14	1.5
Career	—	MLE		—	8457	7828	1903	364	55	252	467	2057	90	190	64	243	293	400	694	157	297	24	6	306	93	-51	+8	-37	+85	+172	18.1
/ 162G	—	MLE		—	650	602	146	28	4	19	36	158	7	15	5	243	293	397	690	154	296	24	6	306	93	-4	+1	-3	+7	+14	1.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Didi Gregoriuslast yr '22 career totals — 10 seasons, 4,238 PA	6.4	4,238	134	37	256	308	421	+45	-10	17.0	17.2
/162	664	21	6	+7.1	-1.5	2.7	pk7: 18
#2Bill Halllast yr '11 career totals — 9 seasons, 3,621 PA	5.5	3,621	123	62	249	308	437	+22	+7	15.9	16.6
/162	664	23	11	+4.1	+1.3	2.9	pk7: 17
#3John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#4Jarrod Saltalamacchialast yr '16 career totals — 9 seasons, 3,127 PA	4.7	3,127	110	5	235	308	414	+56	-10	14.1	14.8
/162	664	23	1	+11.9	-2.1	3.0	pk7: 16
#5Zack Cozartlast yr '19 career totals — 8 seasons, 3,350 PA	5.0	3,350	85	21	246	300	398	+33	+38	14.2	14.8
/162	664	17	4	+6.6	+7.6	2.8	pk7: 15
#6Khalil Greenelast yr '09 career totals — 7 seasons, 2,835 PA	4.3	2,835	90	25	245	302	422	+30	+14	13.0	13.0
/162	664	21	6	+7.1	+3.2	3.0	pk7: 13
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	6.6	4,370	131	81	245	291	404	+45	+0	13.8	11.6
/162	664	20	12	+6.9	+0.0	2.1	pk7: 9

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
Joendry Vargas (OGILVIE)	20	20→36	30→53	50→48	50	232/271/354	122	297	4	8	25%	4%	75	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Austin Hedges 2013 · A	20	45→40	43→60	45	42	221/270/333	111	270	10	12	22%	5%	70	-0.9	212/257/309	97	267	8	7	23%	5%	59	-1.7	227/269/410	183	271	25	4	26%	5%	84	+0.1
✕Ceddanne Rafaela 2021 · A	20	41→51	42→55	52→55	41	203/255/306	103	257	10	13	25%	5%	58	-1.7	228/267/375	147	291	14	19	26%	4%	78	-0.3	253/291/409	156	303	17	19	22%	4%	93	+0.8
✕Miguel Amaya 2019 · A	20	43→41	43→50	48→40	44	212/277/322	110	267	11	4	25%	6%	70	-0.8	210/288/334	124	267	13	4	25%	8%	78	-0.3	212/319/354	142	290	16	3	30%	10%	93	+0.3
✕Edmundo Sosa 2016 · A	20	44→49	41→55	49→50	43	217/268/318	101	262	9	8	21%	5%	65	-1.2	228/264/308	80	298	6	6	24%	4%	61	-1.5	252/297/419	167	305	19	9	23%	4%	99	+0.6
✕Ronarsy Ledesma 2012 · A	19	41	42→45	47→50	43	203/277/306	103	268	9	7	27%	6%	67	-1.1	224/283/326	102	290	5	11	24%	5%	73	-0.6	226/280/337	111	291	6	11	23%	4%	73	-0.3
✕Jeter Downs 2019 · A	21	41→40	43→50	52→55	43	204/269/311	107	264	11	18	26%	6%	65	-1.2	205/270/351	146	270	17	18	29%	7%	75	-0.5	171/263/306	134	238	15	26	33%	8%	61	-0.7
✕Maximo Rivera 2013 · A	20	46	41→45	52→60	43	223/275/312	89	278	9	23	23%	6%	66	-1.1	216/267/290	74	293	5	14	26%	6%	58	-1.7	195/246/249	53	277	2	10	29%	5%	38	-0.7
✕Ravel Santana 2011 · A	19	43	46→50	51→55	47	216/296/344	128	273	15	16	26%	8%	83	+0.1	220/281/361	141	294	15	13	29%	7%	80	-0.1	205/253/387	182	264	22	15	31%	6%	75	-0.2
✕Efrain Contreras 2007 · A	20	44	41→45	51→55	44	212/279/311	99	261	9	8	22%	6%	69	-0.9	227/290/334	107	277	10	13	21%	6%	78	-0.3	227/291/331	104	281	10	15	22%	5%	75	-0.2
✕Jake Marisnick 2011 · A	20	42→52	41→60	55	40	203/262/305	102	272	7	18	27%	5%	61	-1.5	231/286/355	124	296	11	19	25%	5%	81	-0.1	231/295/439	208	305	27	18	33%	6%	102	+0.7
✕Hao-Yu Lee 2023 · A	20	48→44	45→50	48→55	46	232/305/356	123	310	12	12	28%	8%	88	+0.5	236/300/363	127	303	12	16	25%	7%	88	+0.4	241/304/389	148	298	14	15	23%	7%	93	+0.6
✕Masyn Winn 2022 · A	20	42→52	39→50	57→55	42	201/259/292	90	285	6	22	30%	7%	56	-1.9	230/286/359	129	289	11	21	23%	7%	82	-0.0	252/312/373	121	300	11	11	19%	7%	93	+0.8
✕Christian Villanueva 2012 · A	21	44→46	43→55	53→50	40	217/263/333	116	270	11	16	24%	5%	67	-1.1	216/266/341	125	279	12	9	27%	5%	70	-0.8	223/280/397	174	256	23	3	23%	6%	88	+0.3
✕Luis Torrens 2016 · A	20	43→48	38→50	49→40	44	204/275/284	80	281	6	6	28%	7%	61	-1.5	210/273/293	83	267	6	4	22%	7%	62	-1.4	237/296/380	143	283	15	2	21%	6%	89	+0.2
●Jahmai Jones 2018 · A	20	48→50	42→50	51→50	43	233/284/342	109	297	9	16	24%	6%	77	-0.3	208/268/307	99	274	8	13	26%	7%	63	-1.4	248/345/422	173	324	16	18	26%	11%	114	+1.3
✕Jose Paez 2014 · A	20	46	39→45	51→50	38	217/261/309	92	303	5	11	29%	5%	60	-1.6	209/260/289	80	324	4	10	34%	6%	55	-1.9	195/251/252	57	320	4	11	38%	6%	40	-0.6
✕Johan Mieses 2016 · A	21	41→33	45→55	52→50	39	207/251/337	130	273	12	14	29%	5%	63	-1.3	187/234/345	158	264	20	4	37%	5%	60	-1.6	191/265/355	164	235	23	7	30%	7%	72	-0.4
✕Jeferson Quero 2023 · A	20	46→45	44→50	49→45	41	225/274/342	117	290	12	9	26%	6%	73	-0.6	226/282/358	132	276	15	7	23%	7%	80	-0.1	215/277/344	129	257	16	4	23%	7%	73	-0.4
✕Bryan Ramos 2022 · A	20	40→42	45→50	49→50	41	200/269/322	122	272	12	8	30%	6%	68	-1.0	213/273/348	135	267	17	5	26%	6%	75	-0.5	208/267/338	130	255	17	5	26%	6%	68	-0.8
✕Janelfry Zorrilla 2011 · A	20	41	40→45	50	42	202/257/291	89	262	7	13	26%	6%	55	-2.0	224/279/352	128	280	13	10	24%	6%	78	-0.3	225/276/353	127	282	14	8	25%	5%	75	-0.2

Career Stats + Projections

Career Comps

Career Path Comps