Jefferson Vargas

Jefferson VargasSS DSL CLE Goryl

Age 18 L/R 5'9" / 148 lbs ROK HR -15%K -5% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION55 act + 11 ros · stats below = ROS only

showingROS

wRC+†54

AVG/OBP/SLG.100 / .182 / .100

PA11

HR0

K%27

BB%9

BABIP257

ISO68

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$5M ctrl surplus

Tools · ContractCON 30 / POW 20

Toolsscout grade

CONTACT30

scouting grade only

POWER20

scouting grade only

EYE60

scouting grade only

SPEED45

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2034	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2035	Arb-1	$2M	+0.4	$0.8M	+$0.0M
2036	Arb-2	$3M	+0.3	$0.6M	+$0.0M (cut)
2037	Arb-3	$3M	+0.2	$0.3M	+$0.0M (cut)
Totals		$5M		$4M	+$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)
2025	17	ROK	DSL CLE Mendoza	—	161	128	27	4	1	0	29	36	2	5	1	211	365	258	623	47	290	22	18	300	89	-2	+1	—	—	+3	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL CLE Mendoza	—	161	139	20	3	1	0	18	53	2	5	1	144	252	180	431	36	221	33	11	204	24	-15	+1	—	—	+3	-1.1
2025	17	ROK MLE	DSL CLE Mendoza	—	161	139	20	3	1	0	18	53	2	5	1	144	252	180	431	36	230	33	11	204	24	—	—	—	—	—	—
2025	17	ROK RAW	DSL CLE Mendoza	—	161	128	27	4	1	0	29	36	2	5	1	211	365	258	623	47	290	22	18	300	24	—	—	—	—	—	—
2025	17	ROK MLE	DSL CLE Mendoza	—	161	140	20	3	1	0	18	53	2	5	1	143	252	179	430	36	221	33	11	204	24	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL CLE Mendoza	—	161	140	20	3	1	0	18	53	2	5	1	143	252	179	430	36	221	33	11	204	24	—	—	—	—	—	—
YTD	18	ROK MLE	PIT	—	55	46	6	1	1	0	7	13	2	1	1	130	273	196	468	65	182	24	13	209	28	-5	-0	+0	+1	+1	-0.3
▸ 2026 season
YTD	18	ROK RAW	PIT	—	55	42	7	1	1	0	11	9	2	1	1	167	364	238	602	71	212	16	20	301	28	—	—	—	—	—	—
ROS	18	ROK MLE	PIT	0%	11	10	1	0	0	0	1	3	0	0	0	100	182	100	282		258	27	9	247	54	-1	+0	+0	+0	+0	-0.0
TOT	18	ROK MLE	PIT	—	66	56	7	1	1	0	8	16	2	1	1	125	258	179	436	54	175	24	12	215	32	-5	-0	+0	+1	+1	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	PIT	34%	222	196	38	6	2	2	21	58	3	3	1	194	282	276	557	82	262	26	9	259	61	-10	+0	+0	+2	+5	-0.3
2028	20	MLB MLE	PIT	48%	355	314	63	11	3	4	33	91	5	5	2	201	287	293	580	92	266	26	9	268	68	-14	+0	+0	+4	+8	-0.2
2029	21	MLB MLE	PIT	54%	455	402	82	14	3	6	43	115	7	7	2	204	292	299	591	95	269	25	9	275	72	-15	+1	+0	+5	+10	0.0
2030	22	MLB MLE	PIT	57%	525	462	96	16	4	8	50	132	8	8	3	208	296	312	608	104	270	25	10	279	75	-16	+0	+0	+6	+11	0.2
2031	23	MLB MLE	PIT	58%	573	505	106	18	4	9	54	143	9	9	3	210	298	315	612	105	271	25	9	281	76	-16	+1	+0	+6	+12	0.3
2032	24	MLB MLE	PIT	61%	604	533	113	19	5	10	57	151	9	10	3	212	299	323	622	111	272	25	9	283	78	-16	+1	+0	+6	+13	0.4
2033	25	MLB MLE	PIT	63%	622	548	116	19	5	11	59	155	10	10	3	212	300	325	625	113	272	25	9	284	78	-16	+1	+0	+7	+13	0.5
2034	26	MLB MLE	PIT	64%	631	556	118	20	5	11	60	157	10	10	3	212	300	326	626	113	272	25	10	285	79	-16	+1	+0	+7	+14	0.5
2035	27	MLB MLE	PIT	65%	632	556	118	20	5	11	61	158	10	10	3	212	301	326	627	113	272	25	10	285	79	-16	+1	+0	+7	+14	0.5
2036	28	MLB MLE	PIT	65%	627	551	116	19	5	11	61	157	10	10	3	211	301	323	624	113	271	25	10	284	78	-16	+1	-1	+7	+14	0.4
2037	29	MLB MLE	PIT	65%	618	542	113	19	4	10	61	156	10	9	3	208	300	314	614	105	271	25	10	282	77	-17	+1	-1	+7	+13	0.2
2038	30	MLB MLE	PIT	65%	607	533	110	18	4	10	60	155	9	9	3	206	297	311	609	105	270	26	10	280	75	-18	+1	-2	+7	+13	0.0
2039	31	MLB MLE	PIT	65%	593	521	107	18	4	9	58	153	9	9	3	205	296	307	603	102	268	26	10	276	73	-19	+1	-3	+6	+13	-0.2
2027	19	MLB CTX	PIT	34%	76	68	14	2	1	1	7	20	1	1	0	206	289	309	598	103	261	26	9	246	61	-4	+0	+0	+1	+2	-0.1
2028	20	MLB CTX	PIT	48%	172	151	30	5	1	2	16	44	3	3	1	199	288	285	573	86	265	26	9	255	68	-7	+0	+0	+2	+4	-0.1
2029	21	MLB CTX	PIT	54%	247	218	45	8	2	3	23	63	4	4	1	206	294	303	597	96	267	26	9	261	72	-8	+0	+0	+3	+5	0.0
2030	22	MLB CTX	PIT	57%	297	262	53	9	2	4	28	75	5	5	2	202	292	298	589	95	268	25	9	264	75	-9	+0	+0	+3	+6	0.1
2031	23	MLB CTX	PIT	58%	330	291	61	10	3	5	31	83	5	5	2	210	297	316	613	107	269	25	9	266	76	-9	+0	+0	+4	+7	0.2
2032	24	MLB CTX	PIT	61%	368	324	68	11	3	6	35	92	6	6	2	210	299	318	617	108	270	25	10	268	78	-10	+0	+0	+4	+8	0.3
2033	25	MLB CTX	PIT	63%	390	344	72	12	3	6	37	97	6	6	2	209	297	314	611	105	270	25	9	269	78	-10	+0	+0	+4	+8	0.3
2034	26	MLB CTX	PIT	64%	402	355	74	13	3	6	38	100	6	6	2	208	296	313	608	104	270	25	9	269	79	-10	+0	+0	+4	+9	0.3
2035	27	MLB CTX	PIT	65%	411	362	76	13	3	7	40	103	6	7	2	210	299	320	619	110	270	25	10	270	79	-10	+1	+0	+4	+9	0.4
2036	28	MLB CTX	PIT	65%	408	359	75	13	3	6	40	102	6	6	2	209	299	312	611	103	269	25	10	269	78	-11	+0	-0	+4	+9	0.3
2037	29	MLB CTX	PIT	65%	402	354	73	12	3	6	39	102	6	6	2	206	296	308	604	102	269	25	10	267	77	-11	+0	-1	+4	+9	0.2
2038	30	MLB CTX	PIT	65%	395	347	72	12	3	6	39	101	6	6	2	207	298	311	610	104	268	26	10	265	75	-12	+0	-1	+4	+9	0.0
2039	31	MLB CTX	PIT	65%	385	338	68	11	3	5	38	100	6	6	2	201	293	296	589	95	266	26	10	261	73	-12	+0	-2	+4	+8	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4283	3773	781	131	33	63	411	1082	66	67	22	207	296	309	605	102	271	25	10	266	74	-122	+5	-5	+46	+93	1.7
/ 162G	—	A+C		—	650	573	119	20	5	10	62	164	10	10	3	208	296	312	609	105	271	25	10	266	74	-19	+1	-1	+7	+14	0.3
Career	—	MLE		—	7236	6368	1317	220	54	112	697	1837	111	114	36	207	296	311	607	104	270	25	10	278	74	-205	+8	-7	+76	+153	2.5
/ 162G	—	MLE		—	650	572	119	20	5	10	63	165	10	10	3	208	298	313	611	105	273	25	10	278	74	-19	+1	-1	+7	+14	0.2

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
#2Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#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
#4Sandy 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
#5Ronny 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
#6Yolmer 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.7	4,417	70	69	209	295	315	+47	+27	4.5	4.1
/162	664	10	10	+7.1	+4.1	0.7	pk7: 4

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
Jefferson Vargas (OGILVIE)	18	30	20	45	60	185/272/252	68	258	1	2	27%	9%	54	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nicoll Parra 2012 · A	18	39	36→30	44→55	45	183/264/252	70	275	4	8	32%	8%	50	-2.3	197/307/251	54	268	1	18	24%	12%	67	-1.1	186/321/224	38	254	0	27	22%	14%	65	-0.4
✕Carlos Soler 2018 · A	18	39	37→45	46→45	39	187/248/267	80	274	3	8	31%	6%	47	-2.6	216/272/305	89	319	3	8	31%	6%	63	-1.3	238/290/344	106	352	2	8	31%	5%	76	-0.2
✕Kleininger Teran 2007 · A	18	43	36→30	46→45	46	204/263/271	66	266	4	5	24%	7%	52	-2.2	214/282/273	59	266	2	5	19%	8%	60	-1.6	228/286/289	61	277	1	3	17%	7%	62	-0.6
✕Adonis Figuereo 2019 · A	18	37	38→30	46→45	44	182/246/261	79	250	5	8	28%	7%	45	-2.7	193/264/271	78	270	6	6	28%	8%	53	-2.1	194/266/259	66	250	6	5	24%	8%	49	-0.9
✕Deivi Estrada 2019 · A	18	40	36→30	45→50	43	190/259/260	71	280	2	10	31%	7%	49	-2.4	210/287/274	64	289	3	9	26%	9%	63	-1.4	195/270/241	46	288	2	8	30%	8%	47	-0.8
✕Kleiber Rodriguez 2018 · A	19	37	35→30	46→40	46	175/250/234	59	244	2	5	27%	8%	40	-3.0	219/280/288	69	282	3	5	21%	7%	63	-1.4	240/298/301	61	284	2	4	15%	8%	71	-0.4
✕Jose Perez 2022 · A	18	41	38→40	42→45	44	193/266/276	83	281	5	6	31%	8%	55	-1.9	200/299/287	87	269	5	7	25%	11%	71	-0.8	193/314/286	93	255	5	7	23%	13%	76	-0.1
✕Iraj Serrano 2017 · A	18	38	35→30	50	50	178/255/236	59	221	2	10	20%	8%	43	-2.8	208/295/256	48	264	1	10	19%	9%	62	-1.4	206/304/235	29	266	0	10	20%	10%	59	-0.6
✕Ronier Lascarro 2019 · A	18	43	35→40	47→50	47	199/274/261	62	291	2	7	30%	9%	55	-1.9	201/287/276	75	282	4	9	27%	10%	63	-1.3	200/308/280	80	249	4	10	19%	12%	70	-0.4
✕Carlos Goris 2019 · A	18	35	35→30	51→55	43	166/241/233	66	250	2	7	32%	8%	36	-3.3	189/268/264	75	265	5	12	28%	9%	54	-2.0	169/264/229	60	224	6	21	25%	11%	42	-1.1
✕Michael De La Cruz 2015 · A	19	43	35→40	46→50	50	199/283/256	57	281	2	10	28%	10%	57	-1.8	188/254/253	65	290	3	9	33%	8%	45	-2.7	169/235/227	58	265	2	10	34%	7%	30	-1.3
✕Daniel Vellojin 2019 · A	19	39	39→45	47→45	48	189/268/273	83	260	6	6	28%	9%	56	-1.9	213/303/311	98	271	7	8	22%	10%	78	-0.3	194/297/306	112	259	11	6	27%	12%	72	-0.3
✕Marco Guzman 2013 · A	18	37	35→45	47→50	47	176/257/242	66	244	2	8	26%	8%	45	-2.7	198/263/278	80	251	4	7	22%	8%	55	-2.0	224/262/324	100	290	5	8	24%	5%	62	-0.5
✕Francisco Aponte 2009 · A	18	43	36→30	49→60	46	205/268/268	64	265	4	9	23%	7%	54	-2.0	230/305/289	59	291	2	17	20%	8%	73	-0.6	224/288/270	46	274	0	22	17%	8%	61	-0.6
✕Roynier Hernandez 2023 · A	18	44→51	34→30	46→50	52	204/278/258	54	261	2	8	21%	9%	56	-1.9	234/302/288	54	298	1	9	20%	9%	71	-0.8	250/313/298	48	318	0	9	20%	8%	75	-0.2
✕Adrian Alfaro 2014 · A	18	40	34→30	46→50	49	189/263/243	54	253	1	9	24%	9%	47	-2.6	203/266/265	62	249	2	11	18%	7%	52	-2.2	202/264/260	58	239	1	13	15%	7%	48	-1.0
✕Richard Rodriguez 2012 · A	19	39	36→30	48→50	45	186/255/247	61	260	3	12	28%	8%	45	-2.7	210/266/251	41	261	1	14	19%	7%	49	-2.4	233/291/254	20	278	0	16	15%	7%	56	-0.6
✕Enmanuel Terrero 2022 · A	19	43	36→45	46→55	53	200/285/268	68	260	3	9	23%	10%	61	-1.5	217/295/305	88	312	7	14	30%	10%	73	-0.6	206/286/298	92	317	9	17	35%	10%	65	-0.5
✕Andrés Nolaya 2023 · A	18	41	35→45	44→50	47	190/277/250	60	289	2	10	32%	10%	55	-2.0	190/259/257	67	295	3	15	34%	7%	49	-2.4	198/276/278	80	279	7	21	29%	7%	58	-0.6
✕Yasmil Bucce 2023 · A	18	41	39→50	49→40	45	196/264/278	82	269	6	5	28%	8%	55	-1.9	200/286/292	92	306	7	4	34%	10%	68	-1.0	189/297/321	132	304	15	2	39%	12%	76	-0.2

Career Stats + Projections

Career Comps

Career Path Comps