Jhocsuanth Vargas

C Hickory Crawdads

Age 20 R/R 5'11" / 170 lbs A HR +15%BB +5% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#1751ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	16	ROKDSL Rangers B…	126	.273/.365/.391	2	4	36	—	.177/.262/.248
2024	17	ROKTEX	37	.290/.371/.484	2	0	91	—	.250/.314/.438
2026	19	A/ROKTEX	55	.160/.192/.180	0	0	-22	—	.121/.154/.141
2027PROJMLE	20	MLBTEX	165	.215/.267/.305	2	2	61	0.0
2028PROJ34% MLB	21	MLBTEX	39	.220/.273/.319	1	0	65	-0.0
2029PROJ48% MLB	22	MLBTEX	98	.223/.278/.328	2	1	69	0.0

Next 3 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 98%

CompsEdgar Corcino (age 20) · Brian Sanchez (age 20) · Dustin Peterson (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 45 proj PA

wRC+†61

AVG/OBP/SLG.214 / .265 / .302

PA45

HR1

K%28

BB%6

ISO89

MLB%0%

Value2027 · WAR

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

Tools · Contract

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
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	$0.9M	+0.3	$0.8M	+$0.3M
2034	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2035	Arb-1	$1M	+0.2	$0.4M	+$0.0M (cut)
2036	Arb-2	$1M	—	—	—
2037	Arb-3	$0.6M	—	—	—
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. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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	16	ROK	DSL Rangers Blue	—	126	110	30	7	0	2	11	19	5	4	1	273	365	391	756	118	315	15	9	345	36	—	—	—	—	—	—
2024	17	ROK	ACL Rangers	—	37	31	9	0	0	2	4	3	0	0	1	290	371	484	855	194	250	8	11	359	91	—	—	—	—	—	—
2026	19	A	Hickory Crawdads	—	39	36	4	1	0	0	1	14	0	0	1	111	135	139	274	28	167	36	3	120	-47	—	—	—	—	—	—
2026	19	ROK	ACL Rangers	—	16	14	4	0	0	0	1	2	0	0	0	286	333	286	619		308	12	6	270	40	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	16	ROK MLE	DSL Rangers Blue	—	126	113	20	5	0	1	8	24	5	4	1	177	262	248	510	71	210	19	6	222	36	—	—	—	—	—	—
2024	17	ROK MLE	ACL Rangers	—	37	32	8	0	0	2	3	4	0	0	1	250	314	438	752	188	204	11	8	302	91	—	—	—	—	—	—
2026	19	A MLE	Hickory Crawdads	—	39	36	3	1	0	0	1	19	0	0	1	83	108	111	219	28	152	49	3	98	-47	—	—	—	—	—	—
2026	19	ROK MLE	ACL Rangers	—	16	14	3	0	0	0	1	3	0	0	0	214	267	214	481		252	19	6	228	40	—	—	—	—	—	—
2023	16	ROK MLE	DSL Rangers Blue	—	126	113	20	5	0	1	8	24	5	4	1	177	262	248	510	71	216	19	6	222	36	—	—	—	—	—	—
2023	16	ROK RAW	DSL Rangers Blue	—	126	110	30	7	0	2	11	19	5	4	1	273	365	391	756	118	315	15	9	345	36	—	—	—	—	—	—
2024	17	ROK MLE	ACL Rangers	—	37	32	8	0	0	2	3	4	0	0	1	250	314	438	752	188	214	11	8	302	91	—	—	—	—	—	—
2024	17	ROK RAW	ACL Rangers	—	37	31	9	0	0	2	4	3	0	0	1	290	371	484	855	194	250	8	11	359	91	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	55	51	7	1	0	0	1	22	0	0	1	137	154	157	311	20	219	40	2	136	-22	—	—	—	—	—	—
2026	19	A RAW	2 teams	—	55	50	8	1	0	0	2	16	0	0	1	160	192	180	372	20	216	29	4	164	-22	—	—	—	—	—	—
2023	16	ROK MLE	DSL Rangers Blue	—	126	112	20	5	0	1	8	24	5	4	1	179	262	250	512	71	210	19	6	222	36	—	—	—	—	—	—
2024	17	ROK MLE	ACL Rangers	—	37	34	8	0	0	2	3	4	0	0	1	235	314	412	726	176	204	11	8	302	91	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	55	54	7	1	0	0	1	22	0	0	1	130	154	148	302	19	181	40	2	136	-22	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	ACL Rangers	—	37	34	8	0	0	2	3	4	0	0	1	235	314	412	726	176	204	11	8	302	91	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	55	54	7	1	0	0	1	22	0	0	1	130	154	148	302	19	181	40	2	136	-22	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	TEX	0%	165	153	32	4	1	2	10	46	1	2	1	215	267	305	572	89	288	28	6	258	61	-8	+0	+0	+3	+4	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	TEX	34%	113	104	23	3	1	2	7	31	1	1	0	219	272	315	588	96	289	27	6	265	65	-5	+0	+0	+2	+2	0.0
2029	22	MLB MLE	TEX	48%	202	186	42	6	1	4	13	55	1	2	1	222	277	324	601	102	290	27	6	270	69	-7	+0	+0	+4	+4	0.1
2030	23	MLB MLE	TEX	54%	296	273	62	9	2	6	19	79	2	3	1	224	280	332	612	107	291	27	6	275	72	-10	+0	+0	+5	+6	0.2
2031	24	MLB MLE	TEX	55%	371	341	77	11	2	8	24	98	3	4	2	226	283	338	621	112	292	26	6	279	75	-11	+0	+0	+7	+8	0.4
2032	25	MLB MLE	TEX	56%	412	378	86	13	2	9	28	108	3	4	2	228	286	343	629	115	292	26	7	282	77	-11	+0	+0	+7	+9	0.5
2033	26	MLB MLE	TEX	56%	436	401	90	13	2	9	29	114	3	4	2	228	286	343	629	116	292	26	7	282	77	-12	+0	+0	+8	+9	0.5
2034	27	MLB MLE	TEX	55%	445	409	91	13	2	9	30	117	3	4	2	227	285	341	625	114	291	26	7	281	76	-13	+0	+0	+8	+10	0.5
2035	28	MLB MLE	TEX	55%	445	409	91	13	2	9	30	118	3	3	2	225	282	336	619	111	290	27	7	278	74	-14	-0	-1	+8	+10	0.3
2036	29	MLB MLE	TEX	53%	438	403	90	13	2	9	29	118	3	1	1	222	280	330	609	108	289	27	7	274	72	-15	-0	-1	+8	+9	0.1
2037	30	MLB MLE	TEX	53%	427	393	86	12	2	8	28	116	3	1	1	219	276	322	598	103	287	27	7	269	68	-16	-0	-2	+8	+9	-0.2
2028	21	MLB CTX	TEX	34%	39	37	8	1	0	1	2	11	0	0	0	220	273	319	593	99	289	28	5	267	65	-2	+0	+0	+1	+1	-0.0
2029	22	MLB CTX	TEX	48%	98	91	21	3	1	2	6	27	1	1	0	223	278	328	606	106	290	28	6	272	69	-4	+0	+0	+2	+2	0.0
2030	23	MLB CTX	TEX	54%	161	149	33	4	1	3	10	43	1	2	1	225	281	336	618	111	291	27	6	277	72	-5	+0	+0	+3	+3	0.1
2031	24	MLB CTX	TEX	55%	206	188	43	6	1	5	14	54	2	2	1	228	285	343	628	115	292	26	7	281	75	-6	+0	+0	+4	+4	0.2
2032	25	MLB CTX	TEX	56%	231	212	48	7	1	5	15	61	2	2	1	229	287	348	635	119	292	26	6	284	77	-6	+0	+0	+4	+5	0.3
2033	26	MLB CTX	TEX	56%	245	225	51	7	1	6	16	64	2	2	1	229	287	349	636	120	292	26	7	285	77	-7	+0	+0	+4	+5	0.3
2034	27	MLB CTX	TEX	55%	246	225	51	7	1	6	17	65	2	2	1	228	286	346	632	118	291	26	7	283	76	-7	+0	+0	+4	+5	0.3
2035	28	MLB CTX	TEX	55%	244	224	50	7	1	5	16	65	2	1	1	226	284	341	625	115	290	27	7	280	74	-8	-0	-0	+4	+5	0.2
2036	29	MLB CTX	TEX	53%	234	214	48	7	1	5	16	63	2	1	1	223	281	335	615	111	289	27	7	276	72	-8	-0	-1	+4	+5	0.0
2037	30	MLB CTX	TEX	53%	225	207	46	6	1	5	15	61	1	1	1	220	277	326	603	106	287	27	7	272	68	-8	-0	-1	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1929	1772	399	55	9	43	127	514	15	14	8	225	283	339	622	114	291	27	7	279	71	-61	-0	-2	+34	+42	1.3
/ 162G	—	A+C		—	650	597	134	19	3	14	43	173	5	5	3	224	282	337	619	112	291	27	7	279	71	-20	-0	-1	+12	+14	0.4
Career	—	MLE		—	3848	3535	782	113	18	77	252	1017	30	31	17	221	279	329	607	107	286	26	7	273	71	-115	-0	-4	+65	+79	2.4
/ 162G	—	MLE		—	650	597	132	19	3	13	43	172	5	5	3	221	280	328	608	107	286	26	7	273	71	-21	-0	-1	+12	+14	0.4

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AHickory Crawdads · 39 PAwOBA .124 → .098 (−26)K% 35.9% → 48.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.90%	÷1.000	×1.360	—	—	48.82%
BB% (unintentional) /PA	2.56%	÷1.000	×0.690	—	×1.030	1.82%
HBP% /PA	0.00%	—	×0.780	—	×1.030	0.00%
Singles /BIP	13.64%	÷1.000	×0.920	—	×1.030	12.92%
Doubles /BIP	4.55%	÷1.000	×0.830	—	×1.030	3.89%
Triples /BIP	0.00%	÷1.000	×0.910	—	×1.030	0.00%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.030	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average).

Result: wOBA .124 → .098; ISO .028 → .021; BABIP .167 → .152. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2026 ROKACL Rangers · 16 PAwOBA .281 → .228 (−53)K% 12.5% → 18.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.50%	÷1.000	×1.440	—	—	18.00%
BB% (unintentional) /PA	6.25%	÷1.000	×0.620	—	×0.995	3.86%
HBP% /PA	0.00%	—	×0.720	—	×0.995	0.00%
Singles /BIP	33.33%	÷1.000	×0.820	—	×0.995	27.20%
Doubles /BIP	0.00%	÷1.000	×0.720	—	×0.995	0.00%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.995	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.995	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average).

Result: wOBA .281 → .228; ISO .000 → .000; BABIP .308 → .252. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 ROKACL Rangers · 37 PAwOBA .369 → .302 (−68)K% 8.1% → 11.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.11%	÷0.993	×1.440	—	—	11.76%
BB% (unintentional) /PA	10.81%	÷0.971	×0.620	—	×1.022	7.06%
HBP% /PA	0.00%	—	×0.720	—	×1.022	0.00%
Singles /BIP	25.00%	÷1.014	×0.820	—	×1.022	20.66%
Doubles /BIP	0.00%	÷1.011	×0.720	—	×1.022	0.00%
Triples /BIP	0.00%	÷1.150	×0.720	—	×1.022	0.00%
Home runs /BIP	7.14%	÷1.040	×0.780	—	×1.022	5.48%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 103, 2B 102, 3B 130, K 99, BB 94 — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average).

Result: wOBA .369 → .302; ISO .194 → .159; BABIP .250 → .204. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 DSLDSL Rangers Blue · 126 PAwOBA .337 → .222 (−114)K% 15.1% → 19.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.08%	÷0.970	×1.220	—	—	18.97%
BB% (unintentional) /PA	8.73%	÷1.024	×0.700	—	×1.022	6.10%
HBP% /PA	3.97%	—	×0.700	—	×1.022	2.84%
Singles /BIP	23.08%	÷1.069	×0.680	×1.030	×1.022	15.46%
Doubles /BIP	7.69%	÷0.901	×0.600	×1.030	×1.022	5.39%
Triples /BIP	0.00%	÷1.036	×0.600	×1.030	×1.022	0.00%
Home runs /BIP	2.20%	÷1.180	×0.470	—	×1.022	0.90%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 136, 1B 114, 2B 80, 3B 107, K 94, BB 105 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.030.

Result: wOBA .337 → .222; ISO .118 → .067; BABIP .315 → .210. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jacob Stallingslast yr '25 career totals — 7 seasons, 1,850 PA	2.8	1,850	33	0	229	310	340	+33	+50	10.3	10.3
/162	664	12	0	+11.9	+17.9	3.7	pk7: 10
#2Brian Schneider'00-'12 * career totals — 12 seasons, 3,570 PA	5.4	3,570	67	4	238*	309*	359*	+63	-0	9.0	8.8
/162	664	12	1	+11.7	-0.1	1.7	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
#4Fred Kendall'69-'80 * career totals — 8 seasons, 2,823 PA	4.3	2,823	31	5	231*	283*	340*	+48	+1	5.0	5.9
/162	664	7	1	+11.2	+0.1	1.2	pk7: 7
#5Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.0	1,973	40	15	225	279	336	+35	+24	2.7	2.6
/162	664	13	5	+11.9	+8.1	0.9	pk7: 2
#6Mike Difelice'96-'08 * career totals — 7 seasons, 1,714 PA	2.6	1,714	28	3	226*	277*	345*	+30	+0	0.6	1.5
/162	664	11	1	+11.7	+0.0	0.2	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
Jhocsuanth Vargas (OGILVIE)	20	—	—	—	—	214/265/302	89	288	1	0	28%	6%	61	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Edgar Corcino 2012 · A	20	34→44	40→45	44→45	37	172/232/256	83	269	8	6	37%	6%	38	-3.2	199/254/295	96	301	9	6	35%	6%	55	-2.0	232/277/343	111	292	10	4	23%	5%	73	-0.4
✕Brian Sanchez 2016 · A	20	35	39→50	47→45	37	173/232/259	86	255	6	7	33%	5%	39	-3.1	185/246/289	104	268	10	4	33%	6%	51	-2.2	177/247/294	117	245	12	0	32%	7%	52	-0.7
✕Dustin Peterson 2015 · A	20	39→49	39→45	42→45	34	193/229/276	83	281	6	3	33%	4%	40	-3.0	221/266/313	92	293	8	4	26%	5%	63	-1.4	240/285/359	119	300	14	2	24%	5%	78	-0.2
✕Robert Perez Jr. 2019 · A	19	34→44	39→50	42→45	41	172/238/252	80	245	7	6	31%	7%	40	-3.1	207/269/322	115	312	12	4	35%	6%	68	-1.0	219/291/377	157	314	20	2	35%	6%	87	+0.3
✕Daniel Montano 2019 · A	20	37→47	40→45	47→50	42	182/236/275	92	242	6	9	27%	6%	43	-2.8	187/232/268	81	275	5	10	32%	5%	40	-3.1	213/289/324	112	322	9	6	34%	9%	73	-0.5
✕Melky Mesa 2007 · A	20	36→46	40→55	45→55	34	179/225/268	89	289	7	6	39%	5%	38	-3.2	177/227/280	103	300	9	8	42%	5%	41	-3.0	211/269/364	153	299	17	21	34%	6%	74	-0.5
✕Emilio King 2009 · A	19	36	36→45	43→40	43	174/237/239	65	223	4	6	23%	6%	36	-3.3	193/257/273	80	275	4	6	30%	5%	51	-2.2	204/256/296	92	295	6	4	31%	4%	53	-0.9
✕Geulin Beltre 2011 · A	20	36→46	40	44→50	36	180/224/265	85	262	7	8	34%	5%	36	-3.3	214/253/287	73	295	5	10	28%	5%	51	-2.2	214/251/280	66	293	4	11	27%	4%	46	-1.9
✕Jesus Vasquez 2011 · A	19	37	40→45	47→55	41	182/234/272	91	230	7	11	24%	5%	42	-2.9	196/265/302	106	259	10	14	27%	7%	61	-1.5	185/272/306	121	236	12	20	26%	9%	70	-0.4
✕Jerar Encarnacion 2017 · A	19	40→45	38→50	50→45	38	195/232/275	80	260	5	6	27%	4%	41	-3.0	188/231/283	95	306	9	5	40%	5%	43	-2.8	223/288/380	158	332	23	6	38%	8%	86	+0.2
✕Vicmal De La Cruz 2014 · A	20	38	38→40	47→50	40	185/239/260	76	260	6	5	30%	6%	41	-3.0	185/243/256	71	278	3	6	32%	6%	42	-2.9	144/211/202	57	222	0	6	32%	6%	17	-1.5
✕Argenis Aldazoro 2013 · A	20	33	39→55	47→50	41	168/221/258	90	221	6	8	27%	5%	34	-3.5	201/236/309	108	266	10	8	28%	4%	51	-2.3	216/244/339	122	276	12	9	26%	4%	57	-0.6
✕Marino Campana 2018 · A	20	38	37→55	44→45	39	186/234/255	70	250	4	6	27%	5%	38	-3.2	194/239/318	124	296	13	4	37%	5%	55	-2.0	179/222/315	136	269	15	2	38%	4%	46	-1.3
✕Luis Barrera 2015 · A	19	34→44	38→45	49→50	47	168/236/246	78	214	5	7	24%	7%	37	-3.3	204/248/281	77	285	4	8	28%	5%	48	-2.5	248/293/357	110	319	5	17	23%	6%	80	-0.1
✕Michael A. Taylor 2011 · A	20	38→48	37→55	46→60	41	184/241/261	77	259	4	5	29%	6%	42	-2.9	198/247/308	110	295	8	17	34%	5%	55	-1.9	240/297/382	142	309	19	14	28%	7%	92	+0.6
✕Rainer Nunez 2021 · A	20	36→46	38→45	39→30	42	177/227/252	75	224	6	4	24%	5%	35	-3.4	223/269/348	125	291	14	2	28%	5%	73	-0.6	237/278/350	113	315	14	1	28%	5%	74	-0.5
✕Carlos De La Cruz 2021 · A	21	39→45	41→50	44→45	29	182/225/275	93	329	9	6	46%	5%	39	-3.1	196/254/322	126	322	14	6	41%	6%	62	-1.4	214/270/349	135	321	16	5	37%	5%	71	-0.6
✕Dustin Geiger 2012 · A	20	41→48	39→50	44→40	37	202/238/295	94	272	5	4	28%	4%	48	-2.5	215/266/349	134	283	15	4	29%	6%	72	-0.7	211/270/347	135	274	16	3	28%	6%	71	-0.6
✕Alexander Palma 2016 · A	20	40	37→50	51→45	39	195/224/265	70	238	5	9	21%	3%	35	-3.4	219/252/328	109	266	10	8	21%	4%	61	-1.5	240/278/387	146	288	16	7	22%	4%	81	-0.0
✕Moisés Sierra 2008 · A	19	35→45	40→50	49→50	38	177/232/265	88	238	8	10	29%	5%	40	-3.0	223/270/316	93	303	8	8	28%	4%	65	-1.2	252/302/391	139	320	16	11	25%	5%	93	+0.8

Jhocsuanth Vargas

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps