Julio Zayas

C St. Lucie Mets

Age 21 R/R 5'11" / 190 lbs A H -5% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKNYM	131	.239/.354/.367	3	0	46	—	.171/.254/.256
2025	19	ROKNYM	173	.284/.395/.369	1	0	65	—	.224/.314/.289
2026	20	ANYM	421	.238/.341/.367	11	0	57	—	.196/.273/.297
2027PROJMLE	21	MLBNYM	531	.173/.253/.262	9	2	47	-0.3
2028PROJ34% MLB	22	MLBNYM	125	.174/.255/.271	2	1	54	-0.2
2029PROJ48% MLB	23	MLBNYM	198	.179/.260/.282	4	1	58	-0.2

Next 3 projected WAR -0.7Projected 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 EV83

BB%59

Chase%54

K%44

Whiff%42

Z-Con%42

Career WAR0.0 WAR median (P10 0.0 / P90 6.7, comp-based) · star 1% · didn't stick 85%

CompsRandy César (age 21) · J.J. D'Orazio (age 21) · Matt Kennelly (age 21)

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

wRC+†47

AVG/OBP/SLG.171 / .251 / .259

PA210

HR4

K%33

BB%9

ISO89

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 50 / POW 20

Toolsscout grade

CONTACT50

scouting grade only

POWER20

scouting grade only

EYE45

scouting grade only

SPEED35

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	—	—	—
2033	Pre-Arb	$0.9M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.2M	+$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. 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	17	ROK	DSL Mets Orange	—	202	176	54	14	1	7	15	26	5	1	1	307	376	517	893	210	318	13	7	382	48	—	—	—	—	—	—
2024	18	ROK	FCL Mets	—	131	109	26	3	1	3	18	22	2	0	0	239	354	367	721	128	271	17	14	328	46	—	—	—	—	—	—
2025	19	ROK	FCL Mets	—	173	141	40	9	0	1	22	24	6	0	0	284	395	369	764	85	333	14	13	350	65	—	—	—	—	—	—
2026	20	A	St. Lucie Mets	—	421	357	85	11	1	11	54	107	3	0	0	238	341	367	707	129	305	25	13	320	57	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Mets Orange	—	202	182	35	9	1	3	10	33	5	1	1	192	254	302	556	110	198	16	5	239	48	—	—	—	—	—	—
2024	18	ROK MLE	FCL Mets	—	131	117	20	2	1	2	11	33	2	0	0	171	254	256	510	85	215	25	8	236	46	—	—	—	—	—	—
2025	19	ROK MLE	FCL Mets	—	173	152	34	7	0	1	14	34	6	0	0	224	314	289	603	66	270	20	8	265	65	—	—	—	—	—	—
2026	20	A MLE	St. Lucie Mets	—	421	377	74	9	1	9	37	146	3	0	0	196	273	297	570	101	279	35	9	253	57	—	—	—	—	—	—
2023	17	ROK MLE	DSL Mets Orange	—	202	182	35	9	1	3	10	33	5	1	1	192	254	302	556	110	212	16	5	239	48	—	—	—	—	—	—
2023	17	ROK RAW	DSL Mets Orange	—	202	176	54	14	1	7	15	26	5	1	1	307	376	517	893	210	318	13	7	382	48	—	—	—	—	—	—
2024	18	ROK MLE	FCL Mets	—	131	117	20	2	1	2	11	33	2	0	0	171	254	256	510	85	217	25	8	236	46	—	—	—	—	—	—
2024	18	ROK RAW	FCL Mets	—	131	109	26	3	1	3	18	22	2	0	0	239	354	367	721	128	271	17	14	328	46	—	—	—	—	—	—
2025	19	ROK MLE	FCL Mets	—	173	152	34	7	0	1	14	34	6	0	0	224	314	289	603	66	280	20	8	265	65	—	—	—	—	—	—
2025	19	ROK RAW	FCL Mets	—	173	141	40	9	0	1	22	24	6	0	0	284	395	369	764	85	333	14	13	350	65	—	—	—	—	—	—
2026	20	A MLE	St. Lucie Mets	—	421	377	74	9	1	9	37	146	3	0	0	196	273	297	570	101	288	35	9	253	57	—	—	—	—	—	—
2026	20	A RAW	St. Lucie Mets	—	421	357	85	11	1	11	54	107	3	0	0	238	341	367	707	129	305	25	13	320	57	—	—	—	—	—	—
2023	17	ROK MLE	DSL Mets Orange	—	202	185	35	9	1	3	10	33	5	1	1	189	254	297	551	108	198	16	5	239	48	—	—	—	—	—	—
2024	18	ROK MLE	FCL Mets	—	131	117	20	2	1	2	11	33	2	0	0	171	254	256	510	85	215	25	8	236	46	—	—	—	—	—	—
2025	19	ROK MLE	FCL Mets	—	173	151	34	7	0	1	14	34	6	0	0	225	314	291	605	66	270	20	8	265	65	—	—	—	—	—	—
2026	20	A MLE	St. Lucie Mets	—	421	378	74	9	1	9	37	146	3	0	0	196	273	296	570	101	279	35	9	253	57	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	FCL Mets	—	131	117	20	2	1	2	11	33	2	0	0	171	254	256	510	85	215	25	8	236	46	—	—	—	—	—	—
2025	19	ROK MLE	FCL Mets	—	173	151	34	7	0	1	14	34	6	0	0	225	314	291	605	66	270	20	8	265	65	—	—	—	—	—	—
2026	20	A MLE	St. Lucie Mets	—	421	378	74	9	1	9	37	146	3	0	0	196	273	296	570	101	279	35	9	253	57	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	NYM	0%	531	475	82	13	1	9	46	173	5	2	1	173	253	262	514	89	245	33	9	238	47	-33	+0	+0	+9	+12	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	NYM	34%	365	326	58	9	1	7	32	115	4	2	0	179	260	278	537	99	248	32	9	247	54	-20	+0	+0	+7	+8	-0.5
2029	23	MLB MLE	NYM	48%	409	366	68	11	1	9	36	126	4	2	1	184	265	289	554	105	251	31	9	254	58	-20	+0	+0	+7	+9	-0.4
2030	24	MLB MLE	NYM	53%	445	398	75	12	1	10	39	135	5	2	1	189	269	299	568	110	254	30	9	260	62	-20	+0	+0	+8	+10	-0.3
2031	25	MLB MLE	NYM	55%	445	398	76	12	1	10	39	133	5	2	1	192	272	306	578	114	257	30	9	264	65	-19	+0	+0	+8	+10	-0.1
2032	26	MLB MLE	NYM	56%	445	398	77	13	1	10	39	131	5	2	1	194	275	311	585	116	258	29	9	267	67	-18	+0	+0	+8	+10	-0.0
2033	27	MLB MLE	NYM	55%	445	399	77	13	1	10	39	132	4	2	0	193	274	308	581	114	257	30	9	265	66	-18	+0	+0	+8	+10	-0.0
2034	28	MLB MLE	NYM	55%	445	399	76	12	1	10	39	133	4	0	0	191	272	303	575	112	256	30	9	262	64	-19	+0	-1	+8	+10	-0.2
2028	22	MLB CTX	NYM	34%	125	112	19	3	0	2	11	40	1	1	0	174	255	271	526	97	240	32	9	243	54	-7	+0	+0	+2	+3	-0.2
2029	23	MLB CTX	NYM	48%	198	177	31	5	0	4	17	61	2	1	0	179	260	282	543	103	243	31	9	249	58	-10	+0	+0	+4	+4	-0.2
2030	24	MLB CTX	NYM	53%	235	210	39	6	1	5	21	71	2	1	0	184	265	292	556	108	246	30	9	255	62	-11	+0	+0	+4	+5	-0.1
2031	25	MLB CTX	NYM	55%	244	217	41	6	1	6	22	73	3	1	0	187	268	298	566	112	248	30	9	259	65	-10	+0	+0	+4	+5	-0.0
2032	26	MLB CTX	NYM	56%	248	221	43	7	1	6	22	73	3	1	0	189	270	303	573	114	250	29	9	261	67	-10	+0	+0	+4	+5	0.0
2033	27	MLB CTX	NYM	55%	245	219	42	7	1	6	22	73	2	1	0	188	269	300	569	112	249	30	9	260	66	-10	+0	+0	+4	+5	-0.0
2034	28	MLB CTX	NYM	55%	243	217	40	6	1	5	22	73	2	0	0	186	267	296	562	109	248	30	9	257	64	-10	+0	-0	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1538	1373	255	40	5	34	137	464	15	6	0	186	267	296	563	111	251	30	9	256	60	-68	+1	-0	+27	+33	-0.7
/ 162G	—	A+C		—	650	580	107	17	2	14	58	196	6	3	0	184	266	293	559	109	249	30	9	256	60	-29	+1	-0	+12	+14	-0.3
Career	—	MLE		—	4136	3700	702	114	10	85	353	1219	49	14	5	190	269	295	564	105	255	29	9	257	60	-148	+1	-1	+57	+70	-2.1
/ 162G	—	MLE		—	650	581	110	18	2	13	55	192	8	2	1	189	268	294	563	105	255	30	8	257	60	-30	+0	-0	+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 ASt. Lucie Mets · 421 PAwOBA .314 → .253 (−61)K% 25.4% → 34.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.42%	÷1.000	×1.360	—	—	34.57%
BB% (unintentional) /PA	12.59%	÷1.000	×0.690	—	×1.030	8.95%
HBP% /PA	0.71%	—	×0.780	—	×1.030	0.57%
Singles /BIP	24.80%	÷1.000	×0.920	×0.991	×1.030	23.29%
Doubles /BIP	4.40%	÷1.000	×0.830	×0.991	×1.030	3.73%
Triples /BIP	0.40%	÷1.000	×0.910	×0.991	×1.030	0.37%
Home runs /BIP	4.40%	÷1.000	×0.800	—	×1.030	3.63%

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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.991.

Result: wOBA .314 → .253; ISO .129 → .101; BABIP .305 → .279. 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 · 173 PAwOBA .344 → .265 (−79)K% 13.9% → 19.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.87%	÷1.007	×1.440	—	—	19.84%
BB% (unintentional) /PA	12.72%	÷0.988	×0.620	—	×1.008	8.04%
HBP% /PA	3.47%	—	×0.720	—	×1.008	2.52%
Singles /BIP	25.64%	÷0.987	×0.820	×0.996	×1.008	21.38%
Doubles /BIP	7.69%	÷0.989	×0.720	×0.996	×1.008	5.62%
Triples /BIP	0.00%	÷0.900	×0.720	×0.996	×1.008	0.00%
Home runs /BIP	0.85%	÷0.927	×0.780	—	×1.008	0.72%

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 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 ×0.996.

Result: wOBA .344 → .265; ISO .085 → .067; BABIP .333 → .270. 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 ROKFCL Mets · 131 PAwOBA .322 → .236 (−86)K% 16.8% → 24.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.79%	÷0.973	×1.440	—	—	24.86%
BB% (unintentional) /PA	13.74%	÷1.068	×0.620	—	×1.022	8.15%
HBP% /PA	1.53%	—	×0.720	—	×1.022	1.12%
Singles /BIP	21.84%	÷0.979	×0.820	×0.950	×1.022	17.76%
Doubles /BIP	3.45%	÷0.952	×0.720	×0.950	×1.022	2.53%
Triples /BIP	1.15%	÷0.900	×0.720	×0.950	×1.022	0.89%
Home runs /BIP	3.45%	÷0.974	×0.780	—	×1.022	2.82%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 95, 1B 96, 2B 90, 3B 80, K 95, BB 114 — 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 .322 → .236; ISO .128 → .101; BABIP .271 → .215. 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 Orange · 202 PAwOBA .381 → .239 (−142)K% 12.9% → 16.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.87%	÷0.975	×1.220	—	—	16.11%
BB% (unintentional) /PA	7.43%	÷1.052	×0.700	—	×1.022	5.05%
HBP% /PA	2.48%	—	×0.700	—	×1.022	1.77%
Singles /BIP	21.33%	÷1.020	×0.680	×0.971	×1.022	14.12%
Doubles /BIP	9.33%	÷1.012	×0.600	×0.971	×1.022	5.49%
Triples /BIP	0.67%	÷0.949	×0.600	×0.971	×1.022	0.42%
Home runs /BIP	4.67%	÷1.084	×0.470	—	×1.022	2.07%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 117, 1B 104, 2B 102, 3B 90, K 95, BB 110 — 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 ×0.971.

Result: wOBA .381 → .239; ISO .210 → .111; BABIP .318 → .198. 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
#1Jeff Mathislast yr '20 career totals — 15 seasons, 3,003 PA	4.5	3,003	53	12	194	253	300	+54	+136	11.2	10.8
/162	664	12	3	+11.9	+30.1	2.5	pk7: 10
#2Sandy 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
#3Chad Moeller'00-'10 * career totals — 10 seasons, 1,539 PA	2.3	1,539	29	2	218*	277*	341*	+27	-0	-0.2	1.0
/162	664	13	1	+11.6	-0.1	-0.1	pk7: 2
#4Steve Swisher'74-'82 * career totals — 7 seasons, 1,577 PA	2.4	1,577	20	4	211*	275*	330*	+28	+0	-0.1	0.6
/162	664	8	2	+11.9	+0.0	-0.0	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.6	1,747	38	7	189	266	298	+31	+20	0.0	0.3
/162	664	14	3	+11.9	+7.6	0.0	pk7: 0
#5Mike Ryan'64-'74 * career totals — 9 seasons, 2,098 PA	3.2	2,098	28	4	196*	257*	311*	+38	+0	-1.9	-0.9
/162	664	9	1	+11.9	+0.0	-0.6	pk7: 0
#6Matt Walbeck'93-'03 * career totals — 9 seasons, 2,280 PA	3.4	2,280	28	13	222*	268*	305*	+40	-0	-3.5	-1.5
/162	664	8	4	+11.5	-0.0	-1.0	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
Julio Zayas (OGILVIE)	21	50	20	35	45	171/251/259	88	245	4	1	33%	9%	47	-0.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Randy César 2016 · A	21	39→49	38→40	40	40	191/243/266	75	268	6	2	30%	6%	44	-2.8	214/255/298	84	323	8	3	34%	5%	55	-1.9	237/283/328	91	347	8	2	32%	6%	69	-0.6
✕J.J. D'Orazio 2023 · A	21	42→49	38→40	41→30	43	199/266/279	80	295	5	3	32%	8%	56	-1.9	216/265/310	94	296	8	3	28%	6%	62	-1.4	197/245/276	79	263	9	1	28%	5%	45	-1.0
✕Matt Kennelly 2010 · A	21	42	37→40	34→40	37	203/244/271	68	288	5	3	30%	5%	45	-2.7	218/270/303	85	284	7	3	24%	6%	62	-1.4	224/280/310	86	279	7	2	21%	6%	65	-0.6
✕Darwin Rivera 2013 · A	21	42	40	37→30	38	206/249/294	88	289	8	2	31%	5%	53	-2.1	199/249/282	83	281	6	4	30%	5%	49	-2.4	155/200/218	63	212	5	0	29%	4%	14	-1.4
✕Jonathan Meyer 2012 · A	21	43→45	41→45	35→40	41	210/263/301	91	296	9	3	31%	6%	59	-1.6	213/255/302	89	281	9	3	26%	5%	57	-1.8	194/238/271	77	249	8	2	25%	5%	41	-1.9
✕Diego Gonzalez 2024 · A	21	43	37→40	41→40	43	203/259/272	68	273	4	6	26%	6%	51	-2.2	192/262/262	70	275	6	4	30%	8%	51	-2.3	164/244/217	52	234	5	2	30%	8%	33	-1.2
✕Kyle Overstreet 2016 · A	22	40→45	37→40	42→30	44	190/254/259	69	264	4	4	28%	7%	47	-2.6	223/279/316	93	282	8	3	22%	7%	69	-0.9	224/268/313	89	272	9	1	21%	5%	62	-1.0
✕David Rodríguez 2018 · A	22	41→44	37→40	40	41	199/257/271	72	272	5	3	28%	6%	51	-2.3	216/269/317	101	292	8	5	28%	6%	65	-1.2	203/261/320	118	275	14	4	30%	7%	61	-0.5
✕Ti'Quan Forbes 2018 · A	21	42→51	39→40	42→45	34	203/241/283	80	293	7	5	32%	4%	47	-2.6	218/264/301	83	301	6	5	28%	5%	59	-1.6	225/274/309	85	311	5	5	28%	5%	62	-1.0
✕Juan Fernandez 2019 · A	20	43→53	39→40	39→50	44	205/264/289	84	263	6	4	24%	6%	57	-1.8	211/270/305	94	274	8	5	25%	6%	63	-1.3	239/301/321	82	296	8	9	21%	6%	75	-0.3
✕Brian Schales 2018 · A	22	42→50	37→45	39→40	44	201/269/268	67	280	5	3	28%	7%	55	-2.0	213/279/328	115	312	10	4	33%	7%	72	-0.7	211/278/342	131	306	11	3	33%	7%	73	-0.4
✕Travis Harrison 2014 · A	21	43→50	43→40	41→45	42	209/282/320	110	300	11	3	32%	7%	72	-0.7	215/292/306	91	298	6	6	27%	8%	72	-0.7	209/291/292	83	290	4	7	27%	9%	67	-0.9
✕Jacob Gonzalez 2019 · A	21	44→50	39→40	43→40	38	211/261/296	86	279	7	5	26%	4%	58	-1.7	201/252/294	93	256	9	3	24%	5%	54	-2.0	211/261/303	93	254	11	1	21%	4%	59	-1.0
✕Alex Monsalve 2013 · A	21	46→52	39→40	42→40	41	224/262/309	84	281	6	4	23%	4%	60	-1.6	228/268/327	99	288	8	4	23%	4%	67	-1.1	226/266/297	71	279	5	0	20%	4%	57	-0.4
✕Avery Romero 2014 · A	21	40→50	41→40	45	44	197/257/294	98	242	9	5	23%	6%	56	-1.9	242/286/317	75	295	5	5	19%	5%	71	-0.8	241/287/309	68	293	4	4	18%	5%	67	-0.9
✕Gerardo Bustamante 2008 · A	22	38	39→40	42→50	40	189/236/271	83	258	7	4	30%	6%	42	-2.9	198/259/276	78	270	5	5	27%	7%	53	-2.1	219/256/297	79	272	10	12	23%	4%	52	-0.7
✕Omar Estévez 2019 · A	21	43	42→45	42→40	37	210/253/317	107	293	10	3	31%	5%	59	-1.6	215/266/322	107	302	10	3	30%	6%	65	-1.2	201/256/294	92	277	9	1	29%	6%	54	-1.1
✕Jose Gil 2008 · A	21	40	41→45	43→45	41	203/247/296	93	260	10	4	26%	5%	52	-2.2	209/248/305	96	272	8	7	26%	4%	55	-2.0	216/264/335	119	264	13	3	23%	5%	65	-0.5
✕Rudy van Heydoorn 2010 · A	21	31	39→40	40→50	43	157/245/233	76	238	7	8	35%	8%	39	-3.1	186/267/280	94	282	8	5	34%	9%	57	-1.8	172/284/270	98	232	9	2	27%	12%	64	-0.5
✕Jose Meza 2024 · A	21	43→42	39→40	44→50	50	203/296/287	84	284	7	7	29%	10%	70	-0.8	197/287/295	98	292	9	10	33%	10%	69	-0.9	186/278/281	95	274	9	12	33%	9%	61	-1.1

Julio Zayas

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps