Echedry Vargas

SS Jupiter Hammerheads

Age 22 R/R 5'11" / 170 lbs A HR -10%H -3% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#509ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	ADown East Woo…	422	.276/.322/.454	14	29	72	—	.231/.270/.367
2025	20	A+MIA	323	.201/.256/.322	7	8	25	—	.166/.213/.258
2026	21	AMIA	415	.323/.377/.611	27	9	107	—	.260/.304/.482
2027PROJMLE	22	MLBMIA	525	.215/.258/.377	19	9	75	0.2
2028PROJ34% MLB	23	MLBMIA	126	.212/.257/.369	4	2	80	0.1
2029PROJ46% MLB	24	MLBMIA	190	.215/.262/.374	7	4	83	0.3

Next 3 projected WAR 0.6Projected 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

Skills · percentileMiLB Statcast 2026 A

Max EV96

Z-Con%59

Speed57

K%56

Whiff%52

BB%18

Career WAR0.0 WAR median (P10 0.0 / P90 9.9, comp-based) · star 4% · didn't stick 84%

CompsJohan Mieses (age 22) · Freuddy Batista (age 22) · Audry Pérez (age 22)

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

wRC+†75

AVG/OBP/SLG.214 / .256 / .374

PA210

HR7

K%27

BB%4

ISO161

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$16M ctrl surplus

Tools · ContractCON 30 / POW 35

Toolsscout grade

CONTACT30

scouting grade only

POWER35

scouting grade only

EYE25

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
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	+0.5	$1M	+$0.8M
2033	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2034	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2035	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-2	$0.7M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$3M	+$1M

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)
2022	17	ROK	DSL TEX Blue	—	223	196	59	19	5	4	13	27	10	13	5	301	374	510	885	209	325	12	6	382	49	—	—	—	—	—	—
2023	18	ROK	ACL Rangers	—	222	197	62	15	1	11	21	54	3	17	3	315	389	569	958	254	383	24	9	416	62	—	—	—	—	—	—
2024	19	A	Down East Wood Ducks	—	422	392	108	24	2	14	21	89	6	29	9	276	322	454	776	179	323	21	5	341	72	—	—	—	—	—	—
2025	20	A+	Beloit Sky Carp	—	323	298	60	11	2	7	17	80	5	8	2	201	256	322	578	121	249	25	5	259	25	—	—	—	—	—	—
2026	21	A	Jupiter Hammerheads	—	415	375	121	23	2	27	27	91	6	9	1	323	377	611	988	288	357	22	7	421	107	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL TEX Blue	—	223	200	37	11	3	2	9	34	10	13	5	185	256	300	556	115	205	15	4	241	49	—	—	—	—	—	—
2023	18	ROK MLE	ACL Rangers	—	222	204	41	9	1	7	14	83	3	17	3	201	262	358	620	157	283	37	6	260	62	—	—	—	—	—	—
2024	19	A MLE	Down East Wood Ducks	—	422	398	92	19	1	11	15	119	6	29	9	231	270	367	637	136	296	28	4	275	72	—	—	—	—	—	—
2025	20	A+ MLE	Beloit Sky Carp	—	323	302	50	9	2	5	13	105	5	8	2	166	212	258	471	93	224	33	4	205	25	—	—	—	—	—	—
2026	21	A MLE	Jupiter Hammerheads	—	415	384	100	18	2	21	18	124	6	9	1	260	304	482	786	221	307	30	4	327	107	—	—	—	—	—	—
2022	17	ROK MLE	DSL TEX Blue	—	223	200	37	11	3	2	9	34	10	13	5	185	256	300	556	115	208	15	4	241	49	—	—	—	—	—	—
2022	17	ROK RAW	DSL TEX Blue	—	223	196	59	19	5	4	13	27	10	13	5	301	374	510	885	209	325	12	6	382	49	—	—	—	—	—	—
2023	18	ROK MLE	ACL Rangers	—	222	204	41	9	1	7	14	83	3	17	3	201	262	358	620	157	296	37	6	260	62	—	—	—	—	—	—
2023	18	ROK RAW	ACL Rangers	—	222	197	62	15	1	11	21	54	3	17	3	315	389	569	958	254	383	24	9	416	62	—	—	—	—	—	—
2024	19	A MLE	Down East Wood Ducks	—	422	398	92	19	1	11	15	119	6	29	9	231	270	367	637	136	300	28	4	275	72	—	—	—	—	—	—
2024	19	A RAW	Down East Wood Ducks	—	422	392	108	24	2	14	21	89	6	29	9	276	322	454	776	179	323	21	5	341	72	—	—	—	—	—	—
2025	20	A+ MLE	Beloit Sky Carp	—	323	302	50	9	2	5	13	105	5	8	2	166	212	258	471	93	232	33	4	205	25	—	—	—	—	—	—
2025	20	A+ RAW	Beloit Sky Carp	—	323	298	60	11	2	7	17	80	5	8	2	201	256	322	578	121	249	25	5	259	25	—	—	—	—	—	—
2026	21	A MLE	Jupiter Hammerheads	—	415	384	100	18	2	21	18	124	6	9	1	260	304	482	786	221	322	30	4	327	107	—	—	—	—	—	—
2026	21	A RAW	Jupiter Hammerheads	—	415	375	121	23	2	27	27	91	6	9	1	323	377	611	988	288	357	22	7	421	107	—	—	—	—	—	—
2022	17	ROK MLE	DSL TEX Blue	—	223	202	37	11	3	2	9	34	10	13	5	183	256	297	553	114	205	15	4	241	49	—	—	—	—	—	—
2023	18	ROK MLE	ACL Rangers	—	222	203	41	9	1	7	14	83	3	17	3	202	262	360	622	158	283	37	6	260	62	—	—	—	—	—	—
2024	19	A MLE	Down East Wood Ducks	—	422	398	92	19	1	11	15	119	6	29	9	231	270	367	637	136	296	28	4	275	72	—	—	—	—	—	—
2025	20	A+ MLE	Beloit Sky Carp	—	323	302	50	9	2	5	13	105	5	8	2	166	212	258	471	93	224	33	4	205	25	—	—	—	—	—	—
2026	21	A MLE	Jupiter Hammerheads	—	415	388	100	18	2	21	18	124	6	9	1	258	304	477	781	219	307	30	4	327	107	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	A MLE	Down East Wood Ducks	—	422	398	92	19	1	11	15	119	6	29	9	231	270	367	637	136	296	28	4	275	72	—	—	—	—	—	—
2025	20	A+ MLE	Beloit Sky Carp	—	323	302	50	9	2	5	13	105	5	8	2	166	212	258	471	93	224	33	4	205	25	—	—	—	—	—	—
2026	21	A MLE	Jupiter Hammerheads	—	415	388	100	18	2	21	18	124	6	9	1	258	304	477	781	219	307	30	4	327	107	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	MIA	0%	525	492	107	20	2	19	22	144	6	9	2	215	258	377	634	161	262	27	4	279	75	-16	+1	+0	+6	+11	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	MIA	34%	366	343	75	14	2	13	16	98	4	7	2	220	264	386	650	167	264	27	4	286	80	-9	+1	+0	+4	+8	0.4
2029	24	MLB MLE	MIA	46%	411	383	86	16	2	15	20	108	5	8	2	223	269	392	662	170	267	26	5	291	83	-8	+1	+0	+4	+9	0.6
2030	25	MLB MLE	MIA	52%	459	428	96	18	2	17	23	120	5	8	2	224	273	395	668	171	268	26	5	294	85	-8	+1	+0	+5	+10	0.8
2031	26	MLB MLE	MIA	54%	476	443	100	18	2	18	25	123	5	8	2	225	275	396	671	170	269	26	5	296	86	-8	+1	+0	+5	+10	0.9
2032	27	MLB MLE	MIA	54%	481	447	101	19	2	18	26	124	5	8	2	225	277	394	671	169	270	26	5	296	86	-8	+1	+0	+5	+10	0.9
2033	28	MLB MLE	MIA	54%	479	445	99	18	2	17	26	125	5	6	2	224	275	390	665	166	269	26	5	293	85	-9	+0	-1	+5	+10	0.7
2034	29	MLB MLE	MIA	53%	468	435	96	18	2	16	25	123	5	5	1	222	272	384	656	162	268	26	5	290	82	-10	+1	-1	+5	+10	0.5
2035	30	MLB MLE	MIA	52%	458	426	94	17	2	16	24	122	5	3	1	219	269	377	646	158	266	27	5	285	79	-11	+0	-2	+5	+10	0.2
2036	31	MLB MLE	MIA	56%	441	411	87	16	1	14	23	119	4	2	1	215	264	368	632	153	263	27	5	280	75	-13	+0	-3	+5	+10	-0.1
2028	23	MLB CTX	MIA	34%	126	118	24	4	0	4	6	34	1	2	1	212	257	369	625	157	255	27	5	276	80	-3	+0	+0	+1	+3	0.1
2029	24	MLB CTX	MIA	46%	190	177	39	7	1	7	9	50	2	4	1	215	262	374	637	160	257	26	5	281	83	-4	+0	+0	+2	+4	0.3
2030	25	MLB CTX	MIA	52%	237	220	47	8	1	8	12	62	3	4	1	217	266	377	643	161	259	26	5	284	85	-4	+0	+0	+3	+5	0.4
2031	26	MLB CTX	MIA	54%	258	239	52	9	1	9	14	67	3	5	1	217	268	378	646	160	260	26	5	285	86	-4	+1	+0	+3	+6	0.5
2032	27	MLB CTX	MIA	54%	261	242	52	9	1	9	14	67	3	4	1	218	269	376	646	159	260	26	5	285	86	-4	+0	+0	+3	+6	0.5
2033	28	MLB CTX	MIA	54%	260	241	52	9	1	9	14	68	3	3	1	216	268	372	640	156	260	26	5	283	85	-5	+0	-0	+3	+6	0.4
2034	29	MLB CTX	MIA	53%	248	230	49	9	1	8	13	65	3	2	1	214	265	367	632	153	259	26	5	280	82	-5	+0	-1	+3	+5	0.2
2035	30	MLB CTX	MIA	52%	240	223	47	8	1	8	13	64	2	1	1	211	262	360	622	149	257	27	5	276	79	-6	-0	-1	+3	+5	0.1
2036	31	MLB CTX	MIA	56%	249	232	48	8	1	8	13	67	2	1	0	208	257	351	608	144	255	27	5	270	75	-7	+0	-2	+3	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2069	1922	410	71	8	70	108	544	22	26	8	213	263	368	631	155	258	26	5	280	78	-43	+2	-4	+22	+45	2.3
/ 162G	—	A+C		—	650	604	129	22	3	22	34	171	7	8	3	214	264	369	633	156	258	26	5	280	78	-13	+1	-1	+7	+14	0.7
Career	—	MLE		—	5854	5446	1196	228	27	197	286	1585	75	135	36	220	268	380	648	160	270	27	5	284	78	-90	+5	-7	+46	+92	4.7
/ 162G	—	MLE		—	650	605	133	25	3	22	32	176	8	15	4	220	268	380	648	160	270	27	5	284	78	-14	+1	-1	+7	+14	0.7

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 AJupiter Hammerheads · 415 PAwOBA .414 → .327 (−87)K% 21.9% → 29.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.93%	÷1.000	×1.360	—	—	29.82%
BB% (unintentional) /PA	6.27%	÷1.000	×0.690	—	×1.015	4.39%
HBP% /PA	1.45%	—	×0.780	—	×1.015	1.14%
Singles /BIP	24.30%	÷1.000	×0.920	×0.961	×1.015	21.81%
Doubles /BIP	8.10%	÷1.000	×0.830	×0.961	×1.015	6.56%
Triples /BIP	0.70%	÷1.000	×0.910	×0.961	×1.015	0.63%
Home runs /BIP	9.51%	÷1.000	×0.800	—	×1.015	7.72%

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 ×0.961.

Result: wOBA .414 → .327; ISO .288 → .222; BABIP .357 → .307. 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 A+Beloit Sky Carp · 323 PAwOBA .254 → .205 (−48)K% 24.8% → 32.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.77%	÷0.972	×1.270	—	—	32.36%
BB% (unintentional) /PA	5.26%	÷0.978	×0.710	—	×1.042	3.98%
HBP% /PA	1.55%	—	×0.790	—	×1.042	1.27%
Singles /BIP	18.35%	÷1.028	×0.920	×0.984	×1.042	16.83%
Doubles /BIP	5.05%	÷0.961	×0.810	×0.984	×1.042	4.36%
Triples /BIP	0.92%	÷1.000	×0.850	×0.984	×1.042	0.80%
Home runs /BIP	3.21%	÷1.006	×0.800	—	×1.042	2.66%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 101, 1B 106, 2B 92, 3B 100, K 94, BB 96 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.984.

Result: wOBA .254 → .205; ISO .121 → .094; BABIP .249 → .224. 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 ADown East Wood Ducks · 422 PAwOBA .333 → .275 (−58)K% 21.1% → 28.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.09%	÷1.022	×1.360	—	—	28.08%
BB% (unintentional) /PA	4.98%	÷0.983	×0.690	—	×1.045	3.65%
HBP% /PA	1.42%	—	×0.780	—	×1.045	1.16%
Singles /BIP	22.44%	÷0.973	×0.920	×0.964	×1.045	21.36%
Doubles /BIP	7.92%	÷0.978	×0.830	×0.964	×1.045	6.77%
Triples /BIP	0.66%	÷1.150	×0.910	×0.964	×1.045	0.53%
Home runs /BIP	4.62%	÷1.008	×0.800	—	×1.045	3.83%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 95, 2B 96, 3B 130, K 104, BB 97 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.964.

Result: wOBA .333 → .275; ISO .179 → .140; BABIP .323 → .296. 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 ROKACL Rangers · 222 PAwOBA .406 → .260 (−146)K% 24.3% → 37.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.32%	÷0.940	×1.440	—	—	37.25%
BB% (unintentional) /PA	9.46%	÷0.973	×0.620	—	×1.022	6.16%
HBP% /PA	1.35%	—	×0.720	—	×1.022	0.99%
Singles /BIP	24.48%	÷1.003	×0.820	×0.950	×1.022	19.43%
Doubles /BIP	10.49%	÷1.032	×0.720	×0.950	×1.022	7.11%
Triples /BIP	0.70%	÷1.114	×0.720	×0.950	×1.022	0.44%
Home runs /BIP	7.69%	÷1.124	×0.780	—	×1.022	5.46%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 125, 1B 101, 2B 106, 3B 123, K 88, BB 95 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .406 → .260; ISO .254 → .153; BABIP .383 → .283. 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).

2022 DSLDSL TEX Blue · 223 PAwOBA .379 → .241 (−138)K% 12.1% → 15.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.11%	÷0.964	×1.220	—	—	15.32%
BB% (unintentional) /PA	5.83%	÷0.998	×0.700	—	×1.022	4.18%
HBP% /PA	4.48%	—	×0.700	—	×1.022	3.21%
Singles /BIP	18.34%	÷0.982	×0.680	×0.959	×1.022	12.46%
Doubles /BIP	11.24%	÷1.007	×0.600	×0.959	×1.022	6.57%
Triples /BIP	2.96%	÷1.006	×0.600	×0.959	×1.022	1.73%
Home runs /BIP	2.37%	÷1.148	×0.470	—	×1.022	0.99%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 130, 1B 96, 2B 101, 3B 101, K 93, BB 100 — 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 ×0.959.

Result: wOBA .379 → .241; ISO .209 → .114; BABIP .325 → .205. 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
#2Danny 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
#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
#4Kevin 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	3.4	2,279	81	32	222	268	388	+24	+18	4.1	3.8
/162	664	24	9	+7.1	+5.2	1.2	pk7: 4
#5Pete Mackanin'73-'81 * career totals — 6 seasons, 1,686 PA	2.5	1,686	30	27	222*	261*	370*	+6	+23	0.6	1.6
/162	664	12	11	+2.4	+8.9	0.2	pk7: 3
#6Andres Thomas'85-'90 * career totals — 5 seasons, 2,185 PA	3.3	2,185	42	22	234*	256*	361*	+23	+24	0.5	0.5
/162	664	13	7	+7.1	+7.3	0.2	pk7: 0

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
Echedry Vargas (OGILVIE)	22	30	35	45	25	214/256/374	160	262	7	4	27%	4%	75	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Johan Mieses 2017 · A	22	36→33	53→55	44→50	36	199/248/370	171	271	21	8	35%	5%	71	-0.8	186/238/339	153	256	20	4	35%	5%	60	-1.6	192/268/358	166	237	23	7	30%	7%	73	-0.4
✕Freuddy Batista 2022 · A	22	38	50	46→40	41	202/264/358	156	275	19	7	33%	7%	74	-0.5	203/263/329	126	302	12	6	35%	6%	67	-1.1	206/259/338	132	266	17	4	29%	4%	64	-0.6
✕Audry Pérez 2011 · A	22	42	49→40	48→40	39	218/252/364	146	257	17	5	24%	4%	70	-0.8	222/243/325	103	261	11	2	20%	2%	57	-1.8	249/280/359	110	287	14	0	19%	3%	76	-0.2
✕Bryan Ramos 2024 · AA	22	42	50	44→50	43	221/284/370	149	272	19	5	27%	7%	84	+0.2	204/271/322	118	262	13	10	27%	7%	69	-0.9	190/263/293	103	246	11	12	27%	7%	56	-1.3
✕Yu Chang 2018 · AA	22	38→47	50	49→45	40	199/259/356	156	271	17	9	33%	6%	72	-0.7	217/277/354	137	301	14	7	31%	7%	78	-0.3	217/278/367	150	284	17	4	29%	7%	81	-0.0
✕Marcus Greene Jr. 2017 · A	22	34	46→50	44→40	39	182/248/308	126	266	15	5	36%	7%	57	-1.8	208/266/323	115	283	12	4	30%	7%	66	-1.1	206/265/315	109	274	12	2	28%	7%	62	-0.6
✕Rodolfo Durán 2019 · A	21	41	53→50	45	37	223/259/392	169	283	23	4	30%	4%	80	-0.2	205/240/335	130	273	16	4	30%	4%	59	-1.7	229/272/378	149	281	17	3	25%	5%	78	-0.2
✕Tyler Kolodny 2011 · A	23	40→37	49→45	51→50	40	207/277/361	153	275	17	9	30%	6%	80	-0.2	209/284/321	112	285	10	10	29%	6%	74	-0.6	205/290/288	83	271	7	10	25%	6%	66	-0.5
✕Rodolfo Castro 2021 · A	22	38→42	48→55	46→50	35	200/242/343	143	282	16	6	35%	5%	61	-1.5	216/272/376	160	285	20	8	31%	6%	81	-0.1	211/274/367	156	276	20	7	30%	7%	79	-0.2
✕Diego Cartaya 2024 · AA	22	34→35	52→50	46→30	42	188/270/345	156	257	21	2	35%	8%	74	-0.5	180/255/292	112	293	13	4	40%	8%	56	-1.9	178/255/284	106	262	13	2	35%	8%	53	-1.4
✕Sean Coyle 2014 · A	22	38	49→50	54→50	37	197/258/345	148	285	17	14	36%	6%	69	-0.9	206/268/346	140	308	16	13	36%	7%	73	-0.6	188/254/312	124	285	15	12	37%	7%	57	-1.0
✕Colton Shaver 2019 · A	23	36→32	49→50	43→30	42	192/262/338	145	252	18	4	31%	7%	70	-0.9	189/269/339	150	280	18	3	37%	8%	72	-0.7	163/256/315	152	248	20	0	41%	9%	59	-1.0
✕Kendall Simmons 2022 · A	22	41	48→50	49→50	39	208/274/357	149	292	15	9	33%	6%	78	-0.3	200/263/343	143	284	16	9	34%	6%	70	-0.8	201/265/348	147	289	17	7	35%	6%	70	-0.3
✕Sicnarf Loopstok 2016 · A	23	41→36	49→50	53→50	39	208/269/355	147	289	16	9	33%	6%	75	-0.5	208/272/340	132	295	14	10	33%	6%	73	-0.6	202/272/344	143	283	16	9	33%	6%	74	-0.3
✕Kyle Martin 2008 · A	23	37	47→55	48→45	38	195/237/330	135	241	15	6	27%	4%	57	-1.8	206/255/325	119	265	12	6	26%	5%	62	-1.4	199/249/316	117	251	12	5	26%	5%	56	-0.6
✕Chris Williams 2019 · A	22	37→31	52→55	46→40	47	204/277/364	160	252	22	4	29%	9%	80	-0.1	180/269/315	135	277	15	4	37%	10%	67	-1.1	175/259/344	169	246	24	4	38%	9%	68	-0.7
✕Zach Levenson 2024 · A	22	44→39	48→45	48→45	40	220/273/361	140	306	16	8	33%	6%	78	-0.3	200/278/327	127	264	14	8	28%	9%	72	-0.7	188/274/314	126	243	15	7	28%	9%	65	-0.8
✕Damiano Palmegiani 2023 · A	23	37→42	53→50	50→40	44	205/281/376	172	252	22	5	29%	7%	85	+0.2	198/279/345	147	276	17	5	33%	8%	78	-0.3	183/271/316	133	262	16	3	34%	8%	66	-0.8
✕Eddys Leonard 2023 · A	22	45→47	48→50	45→50	42	226/295/372	146	296	15	5	28%	6%	89	+0.5	222/280/363	141	284	16	8	27%	6%	81	-0.1	215/271/359	144	269	17	9	26%	5%	74	-0.4
✕Kiel Thibault 2006 · A	22	43	50→40	46→50	41	225/282/381	157	269	18	6	24%	5%	86	+0.3	212/264/297	85	274	6	8	24%	5%	59	-1.6	203/252/270	68	263	4	9	23%	4%	47	-1.1

Echedry Vargas

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps