Joendry Vargas

SS Ontario Tower Buzzers

Age 21 R/R 6'3" / 175 lbs A HR +8%BB -8% Svc 0.0 · Ctrl thru 2034

Overview

APROSPECTMiLBFA 2035

OGV OFP40OGV rank#365ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKLAD	171	.303/.408/.493	4	11	72	—	.204/.284/.329
2025	19	ALAA	137	.221/.291/.361	4	17	32	—	.168/.224/.272
2026	20	ALAD	554	.293/.335/.452	12	24	78	—	.250/.284/.374
2027PROJMLE	21	MLBLAD	575	.218/.258/.334	10	15	64	-0.1
2028PROJ34% MLB	22	MLBLAD	158	.220/.263/.349	4	4	73	0.0
2029PROJ48% MLB	23	MLBLAD	249	.225/.270/.367	7	6	80	0.3

Next 3 projected WAR 0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2034Service0.0First FA2035

2027MiLB2028MiLB2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Arb-1$4M2033Arb-2$6M2034Arb-3$8M

Skills · percentileMiLB Statcast 2026 A

Whiff%78

K%77

Speed70

Z-Con%65

ISO64

wOBA47

Career WAR0.0 WAR median (P10 -1.0 / P90 13, comp-based) · star 0% · didn't stick 85%

CompsJohan Mieses (age 21) · Jeter Downs (age 21) · Tucker Mitchell (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†64

AVG/OBP/SLG.216 / .256 / .331

PA210

HR4

SB5

K%25

BB%4

ISO116

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$10M ctrl surplus

Contract

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
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.3	$1M	+$0.4M
2030	Pre-Arb	$0.8M	+0.6	$2M	+$1M
2031	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2032	Arb-1	$4M	+0.8	$2M	+$0.0M (cut)
2033	Arb-2	$6M	+0.8	$2M	+$0.0M (cut)
2034	Arb-3	$8M	+0.7	$2M	+$0.0M (cut)
Totals		$3M		$11M	+$3M

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.

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	67	—	—	—	—	—	—
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	72	—	—	—	—	—	—
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	32	—	—	—	—	—	—
2026	20	A	Ontario Tower Buzzers	—	554	515	151	34	6	12	27	104	6	24	10	293	335	452	788	159	344	19	5	345	78	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL LAD Bautista	—	208	182	39	8	1	3	22	38	1	19	5	214	302	319	621	104	236	18	11	267	67	—	—	—	—	—	—
2024	18	ROK MLE	ACL Dodgers	—	171	152	31	6	2	3	12	57	5	11	5	204	284	329	613	125	295	33	7	274	72	—	—	—	—	—	—
2025	19	A MLE	Rancho Cucamonga Quakes	—	137	125	21	2	1	3	8	56	1	17	2	168	224	272	496	104	254	41	6	216	32	—	—	—	—	—	—
2026	20	A MLE	Ontario Tower Buzzers	—	554	524	131	28	5	9	19	141	6	24	10	250	284	374	658	124	316	25	3	284	78	—	—	—	—	—	—
2023	17	ROK MLE	DSL LAD Bautista	—	208	182	39	8	1	3	22	38	1	19	5	214	302	319	621	104	250	18	11	267	67	—	—	—	—	—	—
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	67	—	—	—	—	—	—
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	274	72	—	—	—	—	—	—
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	72	—	—	—	—	—	—
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	—	—	—	—	—	—
2026	20	A MLE	Ontario Tower Buzzers	—	554	524	131	28	5	9	19	141	6	24	10	250	284	374	658	124	322	25	3	284	78	—	—	—	—	—	—
2026	20	A RAW	Ontario Tower Buzzers	—	554	515	151	34	6	12	27	104	6	24	10	293	335	452	788	159	344	19	5	345	78	—	—	—	—	—	—
2023	17	ROK MLE	DSL LAD Bautista	—	208	183	39	8	1	3	22	38	1	19	5	213	302	317	619	104	236	18	11	267	67	—	—	—	—	—	—
2024	18	ROK MLE	ACL Dodgers	—	171	152	31	6	2	3	12	57	5	11	5	204	284	329	613	125	295	33	7	274	72	—	—	—	—	—	—
2025	19	A MLE	Rancho Cucamonga Quakes	—	137	127	21	2	1	3	8	56	1	17	2	165	224	268	492	102	254	41	6	216	32	—	—	—	—	—	—
2026	20	A MLE	Ontario Tower Buzzers	—	554	524	131	28	5	9	19	141	6	24	10	250	284	374	658	124	316	25	3	284	78	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	ACL Dodgers	—	171	152	31	6	2	3	12	57	5	11	5	204	284	329	613	125	295	33	7	274	72	—	—	—	—	—	—
2025	19	A MLE	Rancho Cucamonga Quakes	—	137	127	21	2	1	3	8	56	1	17	2	165	224	268	492	102	254	41	6	216	32	—	—	—	—	—	—
2026	20	A MLE	Ontario Tower Buzzers	—	554	524	131	28	5	9	19	141	6	24	10	250	284	374	658	124	316	25	3	284	78	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	LAD	0%	575	540	117	23	4	10	24	144	6	15	5	218	258	334	592	116	275	25	4	263	64	-24	+1	-1	+6	+12	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	LAD	34%	461	433	96	19	3	10	20	113	5	11	4	224	267	355	622	131	277	25	4	276	73	-15	+1	+0	+5	+10	0.1
2029	23	MLB MLE	LAD	48%	513	479	110	21	4	13	24	124	5	12	4	229	274	373	647	143	279	24	5	286	80	-12	+1	+1	+5	+11	0.6
2030	24	MLB MLE	LAD	53%	550	513	120	23	4	16	27	131	5	12	4	233	279	385	664	152	281	24	5	293	84	-10	+1	+2	+6	+12	1.1
2031	25	MLB MLE	LAD	55%	571	530	125	24	4	17	30	135	6	12	4	235	283	392	675	157	281	24	5	298	88	-8	+1	+2	+6	+12	1.4
2032	26	MLB MLE	LAD	56%	583	540	128	24	4	18	32	138	6	11	4	236	286	396	681	159	282	24	5	300	89	-7	+1	+2	+6	+13	1.5
2033	27	MLB MLE	LAD	55%	583	540	127	24	4	18	32	139	6	11	4	235	285	393	678	158	281	24	5	299	89	-8	+1	+2	+6	+13	1.4
2034	28	MLB MLE	LAD	55%	575	534	125	24	4	17	31	138	5	9	3	234	283	389	672	155	281	24	5	297	87	-9	+1	+2	+6	+12	1.2
2035	29	MLB MLE	LAD	53%	560	520	121	23	4	16	30	136	5	8	3	231	280	383	663	152	280	24	5	293	84	-10	+0	+1	+6	+12	0.9
2036	30	MLB MLE	LAD	57%	547	508	116	22	3	15	29	135	5	6	3	229	277	376	653	147	278	25	5	289	82	-12	+0	+0	+6	+12	0.6
2037	31	MLB MLE	LAD	60%	530	493	111	21	3	14	28	132	4	4	4	225	272	367	639	142	275	25	5	283	78	-14	-1	-1	+6	+11	0.2
2028	22	MLB CTX	LAD	34%	158	148	33	6	1	4	7	39	2	4	1	220	263	349	612	129	270	25	4	271	73	-5	+0	+0	+2	+3	0.0
2029	23	MLB CTX	LAD	48%	249	233	53	10	2	7	12	60	2	6	2	225	270	367	637	142	272	24	5	282	80	-6	+0	+1	+3	+5	0.3
2030	24	MLB CTX	LAD	53%	290	271	62	11	2	9	14	69	3	6	2	229	276	380	655	150	274	24	5	289	84	-5	+0	+1	+3	+6	0.6
2031	25	MLB CTX	LAD	55%	312	290	67	12	2	10	16	74	3	6	2	231	280	387	667	156	275	24	5	294	88	-5	+0	+1	+3	+7	0.7
2032	26	MLB CTX	LAD	56%	324	300	70	13	2	10	18	77	3	6	2	232	282	391	673	159	275	24	6	297	89	-4	+0	+1	+3	+7	0.8
2033	27	MLB CTX	LAD	55%	321	298	69	13	2	10	17	76	3	6	2	231	281	389	670	157	275	24	5	296	89	-4	+0	+1	+3	+7	0.8
2034	28	MLB CTX	LAD	55%	314	291	67	12	2	10	17	75	3	5	2	230	279	384	664	154	274	24	5	293	87	-5	+0	+1	+3	+7	0.7
2035	29	MLB CTX	LAD	53%	299	278	63	11	2	9	16	73	3	4	2	228	277	379	655	151	273	24	5	290	84	-6	+0	+1	+3	+6	0.5
2036	30	MLB CTX	LAD	57%	312	289	66	12	2	9	17	77	3	4	2	225	273	372	645	147	272	25	5	285	82	-7	+0	+0	+3	+7	0.3
2037	31	MLB CTX	LAD	60%	315	293	66	12	2	9	16	79	3	2	2	221	269	362	631	141	269	25	5	280	78	-8	-0	-0	+3	+7	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2894	2691	616	112	19	87	150	699	28	49	19	229	277	382	658	153	275	24	5	289	81	-55	+2	+7	+31	+63	4.9
/ 162G	—	A+C		—	650	604	138	25	4	20	34	157	6	11	4	228	276	382	659	154	274	24	5	289	81	-12	+0	+2	+7	+14	1.1
Career	—	MLE		—	6753	6270	1445	278	48	176	353	1666	67	172	61	230	279	374	653	144	284	25	5	287	81	-116	+5	+13	+61	+123	8.8
/ 162G	—	MLE		—	650	604	140	27	5	17	34	160	6	17	6	232	280	377	657	146	285	25	5	287	81	-13	+1	+2	+7	+14	1.0

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 AOntario Tower Buzzers · 554 PAwOBA .339 → .284 (−55)K% 18.8% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.77%	÷1.000	×1.360	—	—	25.53%
BB% (unintentional) /PA	4.87%	÷1.000	×0.690	—	×1.015	3.41%
HBP% /PA	1.08%	—	×0.780	—	×1.015	0.86%
Singles /BIP	24.09%	÷1.000	×0.920	×1.015	×1.015	22.83%
Doubles /BIP	8.27%	÷1.000	×0.830	×1.015	×1.015	7.07%
Triples /BIP	1.46%	÷1.000	×0.910	×1.015	×1.015	1.37%
Home runs /BIP	2.92%	÷1.000	×0.800	—	×1.015	2.37%

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 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.

Result: wOBA .339 → .284; ISO .159 → .128; BABIP .344 → .316. 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).

2025 ARancho Cucamonga Quakes · 137 PAwOBA .286 → .216 (−70)K% 29.9% → 41.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.93%	÷0.987	×1.360	—	—	41.23%
BB% (unintentional) /PA	8.03%	÷0.981	×0.690	—	×1.030	5.82%
HBP% /PA	0.73%	—	×0.780	—	×1.030	0.59%
Singles /BIP	23.46%	÷1.004	×0.920	×0.973	×1.030	21.54%
Doubles /BIP	3.70%	÷1.054	×0.830	×0.973	×1.030	2.92%
Triples /BIP	1.23%	÷1.150	×0.910	×0.973	×1.030	0.98%
Home runs /BIP	4.94%	÷1.055	×0.800	—	×1.030	3.86%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 111, 1B 101, 2B 111, 3B 130, K 97, BB 96 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.973.

Result: wOBA .286 → .216; ISO .139 → .097; BABIP .287 → .254. 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 Dodgers · 171 PAwOBA .389 → .274 (−116)K% 22.8% → 33.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.81%	÷0.984	×1.440	—	—	33.37%
BB% (unintentional) /PA	12.28%	÷1.070	×0.620	—	×1.008	7.17%
HBP% /PA	2.92%	—	×0.720	—	×1.008	2.12%
Singles /BIP	26.21%	÷1.011	×0.820	×0.976	×1.008	20.90%
Doubles /BIP	8.74%	÷1.010	×0.720	×0.976	×1.008	6.13%
Triples /BIP	2.91%	÷0.967	×0.720	×0.976	×1.008	2.13%
Home runs /BIP	3.88%	÷0.942	×0.780	—	×1.008	3.24%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 102, 2B 102, 3B 93, K 97, BB 114 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.976.

Result: wOBA .389 → .274; ISO .190 → .139; BABIP .386 → .295. 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 LAD Bautista · 208 PAwOBA .412 → .267 (−146)K% 14.9% → 18.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.90%	÷0.999	×1.220	—	—	18.21%
BB% (unintentional) /PA	14.42%	÷0.980	×0.700	—	×1.008	10.38%
HBP% /PA	0.48%	—	×0.700	—	×1.008	0.34%
Singles /BIP	25.87%	÷1.003	×0.680	×1.018	×1.008	17.99%
Doubles /BIP	8.39%	÷0.990	×0.600	×1.018	×1.008	5.21%
Triples /BIP	0.70%	÷0.969	×0.600	×1.018	×1.008	0.44%
Home runs /BIP	4.90%	÷1.319	×0.470	—	×1.008	1.76%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 164, 1B 101, 2B 98, 3B 94, K 100, BB 96 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.

Result: wOBA .412 → .267; ISO .201 → .097; BABIP .360 → .236. 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
#1Paul DeJonglast yr '25 career totals — 9 seasons, 3,500 PA	5.3	3,500	146	29	229	294	416	+36	+35	16.1	16.0
/162	664	28	6	+6.8	+6.6	3.1	pk7: 16
#2Greg Gagne'83-'97 * career totals — 13 seasons, 6,207 PA	9.3	6,207	111	108	249*	297*	394*	+65	+26	13.2	13.0
/162	664	12	12	+6.9	+2.8	1.4	pk7: 13
#3Khalil 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
#4Danny 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
#5Alex Gonzalez'94-'06 * career totals — 12 seasons, 5,528 PA	8.3	5,528	137	97	232*	290*	379*	+55	+6	8.3	10.0
/162	664	16	12	+6.6	+0.8	1.0	pk7: 12
#6Kevin Elster'86-'00 * career totals — 9 seasons, 3,225 PA	4.9	3,225	88	14	223*	294*	388*	+34	+9	7.9	8.1
/162	664	18	3	+7.0	+1.9	1.6	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.7	3,105	86	55	232	276	381	+33	+10	5.9	5.5
/162	664	18	12	+7.1	+2.1	1.3	pk7: 5

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)	21	—	—	—	—	216/256/331	115	275	4	5	25%	4%	64	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Johan Mieses 2016 · A	21	40→33	45→55	52→50	40	204/250/330	126	265	12	14	28%	5%	61	-1.5	189/238/351	162	266	20	4	37%	5%	63	-1.4	192/268/358	166	237	23	7	30%	7%	73	-0.4
✕Jeter Downs 2019 · A	21	42→41	43→50	52→55	44	208/273/317	109	269	11	18	26%	7%	68	-1.0	210/276/360	150	277	17	18	29%	7%	79	-0.2	176/270/315	139	246	15	26	33%	9%	66	-0.6
✕Tucker Mitchell 2022 · A	21	42	40→50	51→45	39	201/262/292	91	296	7	7	33%	6%	57	-1.8	195/270/308	113	293	13	8	36%	7%	65	-1.2	180/256/294	114	253	15	7	34%	7%	55	-0.8
✕Christian Villanueva 2012 · A	21	45→47	44→55	53→50	41	221/269/340	119	276	11	16	24%	5%	71	-0.8	222/273/353	131	287	13	9	27%	5%	76	-0.4	228/286/406	177	263	24	3	23%	6%	93	+0.6
✕Sean Coyle 2013 · A	21	40→38	45→50	54→50	38	199/264/327	128	286	12	13	34%	6%	67	-1.1	211/271/364	153	307	18	14	36%	6%	78	-0.3	204/267/368	165	294	22	15	37%	7%	75	-0.2
✕Jhostynxon Garcia 2024 · A	21	38→44	41→50	52→50	43	182/258/286	104	279	7	9	35%	8%	55	-1.9	220/276/370	150	298	17	10	31%	6%	81	-0.1	226/279/379	153	297	20	9	30%	5%	81	-0.0
✕Juan Mora 2021 · A	21	40	39→45	53→55	52	192/277/280	88	229	6	14	19%	8%	61	-1.5	221/287/329	108	296	9	10	27%	6%	75	-0.5	218/275/319	102	286	9	8	26%	5%	67	-0.5
✕Ceddanne Rafaela 2021 · A	20	40→50	42→55	52→55	42	198/252/297	99	246	10	13	24%	5%	55	-2.0	232/272/383	151	296	15	19	26%	4%	82	+0.0	250/287/402	152	300	17	19	22%	4%	93	+0.8
✕Samad Taylor 2019 · A	21	39→49	41→50	54→65	45	193/258/302	109	254	8	22	26%	7%	58	-1.7	195/272/314	119	297	11	25	35%	8%	67	-1.1	242/320/377	134	335	14	46	29%	9%	98	+0.7
✕Kenedy Corona 2021 · A	21	46→42	42→50	53→55	46	221/284/328	107	271	8	14	21%	6%	74	-0.5	210/267/329	119	292	12	21	31%	6%	68	-1.0	203/263/338	135	278	15	26	31%	6%	66	-0.8
✕Jorge Alcantara 2013 · A	21	42	41→45	50	42	200/270/298	98	297	8	11	33%	8%	62	-1.4	192/261/284	92	292	6	14	34%	8%	55	-1.9	143/221/238	95	216	5	25	34%	8%	30	-1.0
✕Jase Bowen 2022 · A	21	37→42	42→50	54→55	35	186/247/286	100	284	10	12	37%	5%	51	-2.2	197/249/316	119	284	14	16	34%	5%	59	-1.7	209/260/343	134	298	14	23	33%	6%	66	-0.7
✕Brayan Buelvas 2023 · A	21	36→45	47→50	50→55	40	190/251/322	132	249	14	13	30%	6%	61	-1.5	196/259/315	119	279	11	18	32%	7%	62	-1.4	205/266/334	130	290	12	14	32%	7%	66	-0.8
✕José Rodríguez 2021 · A	20	41→51	43→50	52→55	37	208/240/316	109	266	11	11	27%	4%	54	-2.0	248/280/380	132	299	14	24	21%	4%	84	+0.1	248/280/383	135	297	15	29	22%	4%	81	-0.0
✕Emilio Guerrero 2014 · A	21	45→42	40→45	49→45	43	218/270/312	94	278	8	11	24%	6%	65	-1.2	215/257/317	102	302	9	7	30%	5%	61	-1.5	221/259/335	114	296	9	5	28%	4%	63	-0.7
✕Edward Salcedo 2012 · A	21	42→43	43→45	50	40	208/258/324	116	274	10	13	28%	5%	63	-1.4	204/250/328	124	280	13	15	31%	5%	61	-1.5	194/246/302	107	249	11	14	26%	6%	52	-1.5
✕Jhonkensy Noel 2021 · A	20	40→42	43→55	47→45	42	202/266/309	107	265	11	7	28%	6%	63	-1.3	222/273/394	172	288	23	5	31%	5%	86	+0.3	200/264/382	182	250	25	1	31%	6%	78	-0.3
✕Eduardo Diaz 2018 · A	21	46→45	41→50	53→50	40	225/271/329	104	291	8	14	25%	5%	69	-0.9	213/256/317	104	294	9	11	29%	4%	61	-1.5	199/243/329	129	271	15	12	32%	4%	56	-1.0
✕Steven Baron 2013 · A	22	39	41→45	50	37	194/232/294	100	263	8	10	29%	4%	46	-2.6	197/236/287	90	278	6	9	30%	5%	45	-2.7	236/292/311	74	314	4	8	24%	7%	69	-0.4
●Alonzo Harris 2010 · A	21	41→51	45→50	50→60	37	208/250/324	115	280	14	12	31%	5%	59	-1.6	216/256/310	94	285	8	15	26%	4%	58	-1.7	234/290/378	144	282	15	35	22%	7%	85	+0.2

Joendry Vargas

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps