Vladi Gomez

SS FCL Mets

Age 21 L/R 5'11" / 150 lbs ROK H -5% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#2312ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKDSL Mets Oran…	178	.264/.401/.368	1	28	45	—	.158/.277/.204
2025	19	ROKNYM	152	.172/.327/.221	1	19	12	—	.129/.233/.174
2026	20	A/ROKNYM	267	.271/.374/.360	1	45	54	—	.208/.286/.271
2027PROJMLE	21	MLBNYM	377	.188/.264/.254	2	12	49	-0.3
2028PROJ34% MLB	22	MLBNYM	71	.189/.266/.269	1	2	57	-0.1
2029PROJ48% MLB	23	MLBNYM	144	.195/.271/.286	2	5	63	-0.1

Next 3 projected WAR -0.5Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 A

Speed78

Z-Con%76

Whiff%50

K%39

BB%35

Chase%33

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

CompsJaden Rudd (age 21) · Jenner Emeterio (age 21) · Rodolfo Penalo (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 158 proj PA

wRC+†49

AVG/OBP/SLG.186 / .262 / .252

PA158

HR1

SB5

K%26

BB%8

ISO66

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Tools · ContractCON 20 / POW 20

Toolsscout grade

CONTACT20

scouting grade only

POWER20

scouting grade only

EYE60

scouting grade only

SPEED60

scouting grade only

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	—	—	—
2035	Pre-Arb	$1.0M	—	—	—
2036	Arb-1	$0.2M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.8M	+$0.0M

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 Mets Blue	—	194	155	28	6	2	3	33	44	4	14	1	181	339	303	642	123	227	23	17	302	15	—	—	—	—	—	—
2024	18	ROK	DSL Mets Orange	—	178	144	38	6	3	1	29	32	4	28	4	264	401	368	769	104	330	18	16	355	45	—	—	—	—	—	—
2025	19	ROK	FCL Mets	—	152	122	21	1	1	1	26	33	2	19	3	172	327	221	548	49	225	22	17	269	12	—	—	—	—	—	—
2026	20	A	St. Lucie Mets	—	128	109	23	7	0	0	15	31	0	12	2	211	306	275	582	64	287	24	12	265	30	—	—	—	—	—	—
2026	20	ROK	FCL Mets	—	139	116	38	6	2	1	15	21	7	33	5	328	435	440	874	112	389	15	11	395	77	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Mets Blue	—	194	166	18	4	1	2	22	55	4	14	1	108	229	181	410	72	139	28	11	191	15	—	—	—	—	—	—
2024	18	ROK MLE	DSL Mets Orange	—	178	152	24	3	2	0	21	40	4	28	4	158	277	204	481	46	213	22	12	235	45	—	—	—	—	—	—
2025	19	ROK MLE	FCL Mets	—	152	132	17	1	1	1	16	47	2	19	3	129	233	174	408	45	175	31	11	186	12	—	—	—	—	—	—
2026	20	A MLE	St. Lucie Mets	—	128	114	20	6	0	0	10	42	0	12	2	175	242	228	470	53	257	33	8	213	30	—	—	—	—	—	—
2026	20	ROK MLE	FCL Mets	—	139	122	29	4	1	1	9	30	7	33	5	238	326	311	638	74	300	22	6	282	77	—	—	—	—	—	—
2023	17	ROK MLE	DSL Mets Blue	—	194	166	18	4	1	2	22	55	4	14	1	108	229	181	410	72	144	28	11	191	15	—	—	—	—	—	—
2023	17	ROK RAW	DSL Mets Blue	—	194	155	28	6	2	3	33	44	4	14	1	181	339	303	642	123	227	23	17	302	15	—	—	—	—	—	—
2024	18	ROK MLE	DSL Mets Orange	—	178	152	24	3	2	0	21	40	4	28	4	158	277	204	481	46	212	22	12	235	45	—	—	—	—	—	—
2024	18	ROK RAW	DSL Mets Orange	—	178	144	38	6	3	1	29	32	4	28	4	264	401	368	769	104	330	18	16	355	45	—	—	—	—	—	—
2025	19	ROK MLE	FCL Mets	—	152	132	17	1	1	1	16	47	2	19	3	129	233	174	408	45	188	31	11	186	12	—	—	—	—	—	—
2025	19	ROK RAW	FCL Mets	—	152	122	21	1	1	1	26	33	2	19	3	172	327	221	548	49	225	22	17	269	12	—	—	—	—	—	—
2026	20	ROK MLE	2 teams	—	267	235	49	10	1	1	20	72	7	45	7	209	290	272	562	64	291	27	7	249	55	—	—	—	—	—	—
2026	20	ROK RAW	2 teams	—	267	225	61	13	2	1	30	52	7	45	7	271	374	360	734	89	343	19	11	333	55	—	—	—	—	—	—
2023	17	ROK MLE	DSL Mets Blue	—	194	166	18	4	1	2	22	55	4	14	1	108	229	181	410	72	139	28	11	191	15	—	—	—	—	—	—
2024	18	ROK MLE	DSL Mets Orange	—	178	151	24	3	2	0	21	40	4	28	4	159	277	205	482	46	213	22	12	235	45	—	—	—	—	—	—
2025	19	ROK MLE	FCL Mets	—	152	133	17	1	1	1	16	47	2	19	3	128	233	173	406	45	175	31	11	186	12	—	—	—	—	—	—
2026	20	ROK MLE	2 teams	—	267	238	49	10	1	1	20	72	7	45	7	206	290	269	559	63	279	27	7	249	55	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL Mets Orange	—	178	151	24	3	2	0	21	40	4	28	4	159	277	205	482	46	213	22	12	235	45	—	—	—	—	—	—
2025	19	ROK MLE	FCL Mets	—	152	133	17	1	1	1	16	47	2	19	3	128	233	173	406	45	175	31	11	186	12	—	—	—	—	—	—
2026	20	ROK MLE	2 teams	—	267	238	49	10	1	1	20	72	7	45	7	206	290	269	559	63	279	27	7	249	55	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	NYM	0%	377	339	64	13	2	2	31	100	4	12	2	188	264	254	518	66	257	27	8	241	49	-23	+2	+0	+4	+8	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	NYM	34%	208	187	36	7	1	2	17	54	2	7	1	195	271	277	549	82	260	26	8	253	57	-11	+1	+0	+2	+5	-0.3
2029	23	MLB MLE	NYM	48%	298	268	54	10	2	4	25	76	3	9	2	201	277	295	571	94	263	26	8	262	63	-13	+1	+0	+3	+6	-0.2
2030	24	MLB MLE	NYM	53%	369	331	68	13	2	6	31	94	4	12	2	205	281	308	589	103	265	25	8	268	68	-14	+2	+0	+4	+8	-0.1
2031	25	MLB MLE	NYM	55%	407	365	75	14	2	7	34	103	5	13	2	208	284	316	601	108	267	25	8	273	71	-14	+2	+0	+4	+9	0.1
2032	26	MLB MLE	NYM	56%	430	386	81	15	2	8	36	108	5	13	3	210	286	323	609	112	268	25	8	276	73	-14	+1	+0	+5	+9	0.2
2033	27	MLB MLE	NYM	59%	437	392	82	16	2	8	37	110	5	13	3	209	285	320	605	111	267	25	8	275	72	-14	+1	+0	+5	+9	0.1
2034	28	MLB MLE	NYM	61%	436	391	81	15	2	8	37	111	5	11	2	207	283	316	599	108	267	25	8	272	70	-15	+1	-1	+5	+9	-0.1
2035	29	MLB MLE	NYM	63%	427	384	79	15	2	7	36	110	4	9	2	205	281	310	590	105	265	26	8	269	68	-16	+1	-1	+5	+9	-0.3
2036	30	MLB MLE	NYM	63%	416	374	75	14	2	6	35	108	4	7	2	202	277	302	580	100	264	26	8	264	65	-17	+1	-2	+4	+9	-0.5
2028	22	MLB CTX	NYM	34%	71	64	12	2	0	1	6	18	1	2	0	189	266	269	535	80	252	25	8	247	57	-4	+0	+0	+1	+2	-0.1
2029	23	MLB CTX	NYM	48%	144	129	26	5	1	2	12	37	2	5	1	195	271	286	557	91	254	26	8	256	63	-6	+1	+0	+2	+3	-0.1
2030	24	MLB CTX	NYM	53%	195	175	34	6	1	3	16	50	2	6	1	199	276	299	574	100	257	26	8	262	68	-7	+1	+0	+2	+4	-0.0
2031	25	MLB CTX	NYM	55%	223	200	40	7	1	4	19	56	2	7	1	202	279	308	586	106	258	25	9	267	71	-8	+1	+0	+2	+5	0.1
2032	26	MLB CTX	NYM	56%	239	214	43	8	1	4	20	60	3	7	1	204	281	313	594	110	259	25	8	270	73	-8	+1	+0	+3	+5	0.1
2033	27	MLB CTX	NYM	59%	259	232	48	9	1	5	22	65	3	8	2	203	280	311	591	108	259	25	8	269	72	-9	+1	+0	+3	+6	0.1
2034	28	MLB CTX	NYM	61%	268	240	49	9	1	5	23	68	3	7	1	201	278	307	585	105	258	25	9	266	70	-9	+1	-0	+3	+6	-0.0
2035	29	MLB CTX	NYM	63%	267	240	47	9	1	4	22	69	3	6	1	199	275	301	576	102	257	26	8	263	68	-10	+1	-1	+3	+6	-0.2
2036	30	MLB CTX	NYM	63%	263	236	46	8	1	4	22	68	3	4	1	196	272	294	566	97	255	26	8	259	65	-11	+0	-1	+3	+6	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1929	1730	345	63	8	32	162	491	22	52	9	199	276	301	577	101	258	25	8	264	62	-72	+7	-3	+21	+42	-0.5
/ 162G	—	A+C		—	650	583	117	21	3	11	55	165	7	18	3	201	278	304	581	103	259	25	8	264	62	-24	+2	-1	+7	+14	-0.2
Career	—	MLE		—	4377	3905	766	142	23	61	380	1130	56	205	35	196	277	291	568	95	257	26	9	259	62	-139	+12	-4	+38	+78	-1.5
/ 162G	—	MLE		—	650	580	113	21	3	9	56	168	8	30	5	195	275	288	563	93	256	26	9	259	62	-25	+2	-1	+7	+14	-0.3

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 ROKFCL Mets · 139 PAwOBA .388 → .282 (−105)K% 15.1% → 21.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.11%	÷1.000	×1.440	—	—	21.76%
BB% (unintentional) /PA	10.79%	÷1.000	×0.620	—	×0.985	6.59%
HBP% /PA	5.04%	—	×0.720	—	×0.985	3.57%
Singles /BIP	30.53%	÷1.000	×0.820	×0.983	×0.985	24.23%
Doubles /BIP	6.32%	÷1.000	×0.720	×0.983	×0.985	4.40%
Triples /BIP	2.11%	÷1.000	×0.720	×0.983	×0.985	1.47%
Home runs /BIP	1.05%	÷1.000	×0.780	—	×0.985	0.81%

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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.983.

Result: wOBA .388 → .282; ISO .112 → .080; BABIP .389 → .300. 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 ASt. Lucie Mets · 128 PAwOBA .263 → .213 (−50)K% 24.2% → 32.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.22%	÷1.000	×1.360	—	—	32.94%
BB% (unintentional) /PA	11.72%	÷1.000	×0.690	—	×1.015	8.21%
HBP% /PA	0.00%	—	×0.780	—	×1.015	0.00%
Singles /BIP	20.51%	÷1.000	×0.920	×0.989	×1.015	18.94%
Doubles /BIP	8.97%	÷1.000	×0.830	×0.989	×1.015	7.48%
Triples /BIP	0.00%	÷1.000	×0.910	×0.989	×1.015	0.00%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.015	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 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 ×0.989.

Result: wOBA .263 → .213; ISO .064 → .052; BABIP .287 → .257. 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 ROKFCL Mets · 152 PAwOBA .265 → .186 (−79)K% 21.7% → 31.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.71%	÷1.007	×1.440	—	—	31.05%
BB% (unintentional) /PA	17.11%	÷0.988	×0.620	—	×0.995	10.68%
HBP% /PA	1.32%	—	×0.720	—	×0.995	0.94%
Singles /BIP	20.22%	÷0.987	×0.820	×0.950	×0.995	15.89%
Doubles /BIP	1.12%	÷0.989	×0.720	×0.950	×0.995	0.77%
Triples /BIP	1.12%	÷0.900	×0.720	×0.950	×0.995	0.85%
Home runs /BIP	1.12%	÷0.927	×0.780	—	×0.995	0.94%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 97, 2B 98, 3B 80, K 101, BB 98 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .265 → .186; ISO .049 → .038; BABIP .225 → .175. 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 DSLDSL Mets Orange · 178 PAwOBA .349 → .235 (−113)K% 18.0% → 22.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.98%	÷0.990	×1.220	—	—	22.17%
BB% (unintentional) /PA	16.29%	÷0.950	×0.700	—	×0.995	11.94%
HBP% /PA	2.25%	—	×0.700	—	×0.995	1.57%
Singles /BIP	25.00%	÷0.953	×0.680	×0.950	×0.995	16.86%
Doubles /BIP	5.36%	÷1.064	×0.600	×0.950	×0.995	2.85%
Triples /BIP	2.68%	÷0.921	×0.600	×0.950	×0.995	1.65%
Home runs /BIP	0.89%	÷0.996	×0.470	—	×0.995	0.42%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 91, 2B 113, 3B 84, K 98, BB 90 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .349 → .235; ISO .104 → .059; BABIP .330 → .213. 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 Mets Blue · 194 PAwOBA .298 → .191 (−107)K% 22.7% → 28.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.68%	÷0.971	×1.220	—	—	28.49%
BB% (unintentional) /PA	17.01%	÷1.049	×0.700	—	×1.008	11.44%
HBP% /PA	2.06%	—	×0.700	—	×1.008	1.45%
Singles /BIP	15.32%	÷1.074	×0.680	×0.988	×1.008	9.65%
Doubles /BIP	5.41%	÷0.976	×0.600	×0.988	×1.008	3.31%
Triples /BIP	1.80%	÷1.150	×0.600	×0.988	×1.008	0.94%
Home runs /BIP	2.70%	÷0.868	×0.470	—	×1.008	1.47%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 74, 1B 115, 2B 95, 3B 130, K 94, BB 110 — 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 ×0.988.

Result: wOBA .298 → .191; ISO .123 → .070; BABIP .227 → .139. 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
#1John McDonaldlast yr '14 career totals — 13 seasons, 2,596 PA	3.9	2,596	28	34	233	273	324	+20	+54	4.2	5.1
/162	664	7	9	+5.0	+13.9	1.1	pk7: 6
#2Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#3Enzo Hernandez'71-'78 * career totals — 6 seasons, 2,612 PA	3.9	2,612	2	129	222*	281*	294*	+28	+4	1.6	1.9
/162	664	1	33	+7.0	+1.0	0.4	pk7: 2
#4Al Weis'62-'71 * career totals — 8 seasons, 1,763 PA	2.7	1,763	7	55	223*	283*	300*	+10	+9	-0.2	1.3
/162	664	3	21	+3.8	+3.5	-0.1	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.1	2,088	32	57	205	278	308	+22	+18	0.5	0.8
/162	664	10	18	+7.1	+5.7	0.2	pk7: 1
#5David Howard'91-'99 * career totals — 8 seasons, 1,795 PA	2.7	1,795	11	23	220*	280*	301*	+10	+23	-1.6	-0.8
/162	664	4	9	+3.7	+8.5	-0.6	pk7: -0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

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
Vladi Gomez (OGILVIE)	21	20	20	60	60	186/262/252	66	257	1	5	26%	8%	49	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jaden Rudd 2024 · A	21	39→36	37→30	52→50	48	179/290/250	70	276	4	14	32%	10%	61	-1.5	193/286/269	76	307	5	13	35%	9%	63	-1.4	155/260/202	47	253	3	16	35%	10%	36	-0.9
✕Jenner Emeterio 2014 · A	21	41	34→30	54→60	55	190/281/239	49	242	2	25	21%	11%	53	-2.1	205/298/267	62	262	2	20	20%	11%	66	-1.1	198/314/254	56	245	0	28	16%	13%	69	-0.4
✕Rodolfo Penalo 2014 · A	21	42	35→30	56→65	52	192/267/256	63	230	2	25	16%	8%	51	-2.2	202/281/267	65	263	2	23	22%	9%	59	-1.7	190/280/247	57	251	1	30	22%	10%	52	-0.7
✕Roberto Caro 2015 · A	21	41→40	37→40	61→60	53	189/277/271	82	239	2	21	21%	10%	59	-1.7	193/264/265	72	284	2	16	30%	8%	52	-2.2	211/282/288	76	323	2	26	32%	8%	62	-0.7
✕Jose Ramos 2024 · A	21	36	38→40	59→55	43	175/251/257	81	256	4	23	31%	7%	46	-2.6	195/280/275	80	288	5	23	31%	9%	61	-1.5	194/290/265	72	282	5	28	30%	11%	60	-0.5
✕Alfredo Angarita 2018 · A	21	40	35→30	51→55	51	186/269/244	58	251	2	16	25%	10%	49	-2.4	199/263/254	55	285	2	10	28%	7%	49	-2.4	192/256/235	43	276	1	9	28%	7%	39	-1.4
✕Jason Denham 2007 · A	21	41→45	35→40	53→55	44	191/255/252	61	281	3	10	31%	8%	45	-2.7	220/280/300	80	293	8	18	26%	7%	65	-1.2	220/282/295	75	288	8	21	25%	8%	64	-0.8
✕Kier Meredith 2022 · A	22	42	36→30	51→60	45	197/266/263	67	278	4	12	29%	8%	53	-2.1	208/305/278	70	291	4	26	27%	9%	72	-0.7	223/339/272	49	296	2	35	22%	11%	80	-0.0
✕Jefry Puente 2012 · A	20	33	36→40	54→50	51	159/256/227	68	220	2	11	26%	10%	42	-2.9	182/263/253	71	238	3	14	23%	8%	49	-2.4	139/229/187	48	171	0	27	17%	8%	19	-1.2
✕Dionis Paulino 2015 · A	21	40	36→40	51→50	48	189/267/252	64	257	3	15	26%	9%	51	-2.3	202/263/272	70	293	3	12	30%	7%	53	-2.1	206/248/291	84	301	9	11	33%	5%	47	-0.8
✕Ayendy Perez 2015 · A	21	46	34→30	57→60	49	211/273/267	56	261	1	23	19%	7%	55	-2.0	224/275/281	57	315	1	23	27%	6%	58	-1.7	230/281/278	48	334	0	29	29%	6%	58	-0.9
✕Fadriel Cruz 2022 · A	21	40	37→30	56→55	51	188/268/261	73	246	4	25	24%	10%	53	-2.1	186/265/267	81	286	6	17	34%	9%	53	-2.1	161/245/228	67	253	8	19	36%	9%	34	-1.3
✕Luis Valenzuela 2015 · A	21	40	37→45	55→45	39	195/234/270	75	262	4	7	27%	5%	40	-3.0	244/269/336	92	305	5	7	21%	3%	69	-0.9	263/285/365	102	319	5	7	19%	2%	78	-0.1
✕Luke Williams 2018 · A	21	40→44	35→45	55→65	41	190/234/243	53	254	2	18	26%	5%	34	-3.5	203/260/293	90	270	8	18	26%	6%	57	-1.8	229/291/325	96	311	8	37	27%	7%	74	-0.3
✕Wilbis Santiago 2016 · A	20	42	34→40	55→30	48	195/256/250	55	233	2	10	17%	6%	45	-2.7	211/255/280	69	244	3	8	14%	4%	51	-2.2	245/270/324	80	276	3	3	12%	2%	65	-0.4
✕Emmanuel Morel 2017 · A	20	37	34→30	50→55	47	174/257/225	52	263	1	15	32%	10%	41	-3.0	194/259/259	65	313	2	13	36%	7%	49	-2.4	182/247/231	49	295	0	21	35%	6%	35	-0.9
✕Shard Munroe 2017 · A	21	39	36→40	58→50	51	184/262/257	74	236	3	16	22%	9%	49	-2.4	195/264/288	93	277	8	13	30%	8%	57	-1.8	173/247/267	94	252	9	14	33%	8%	45	-0.9
✕Roberto Reyes 2010 · A	21	35	37→40	55	44	168/249/240	72	256	4	15	33%	8%	42	-2.9	189/249/265	76	287	4	8	33%	6%	46	-2.6	179/233/246	67	261	5	2	32%	5%	34	-1.2
✕Yonki Hernandez 2012 · A	21	37	35→30	53→55	51	174/277/233	60	240	2	17	26%	10%	52	-2.2	190/257/261	71	301	4	18	35%	7%	49	-2.4	175/224/210	35	295	3	27	40%	6%	19	-1.1
✕Terry Serrano 2009 · A	22	39	35→30	50→55	46	183/246/241	59	240	2	15	24%	7%	40	-3.1	207/288/279	72	316	3	15	32%	10%	64	-1.3	204/311/268	64	327	2	21	33%	13%	68	-0.5

Vladi Gomez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps