Yojackson Laya

SS ACL Dodgers

Age 20 R/R 5'9" / 154 lbs ROK HR +8%BB -8% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1091ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL LAD Bauti…	181	.254/.441/.313	0	9	58	—	.178/.330/.219
2025	18	ROKDSL LAD Bauti…	139	.211/.348/.237	0	12	17	—	.150/.261/.175
2026	19	ROKLAD	76	.212/.307/.303	1	2	19	—	.159/.227/.232
2027PROJMLE	20	MLBLAD	186	.216/.292/.295	2	4	68	0.0
2028PROJ34% MLB	21	MLBLAD	34	.216/.292/.303	0	1	74	0.0
2029PROJ48% MLB	22	MLBLAD	90	.220/.296/.315	1	2	78	0.1

Next 3 projected WAR 0.1Projected 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 Rk

Whiff%70

Z-Con%55

K%52

ISO27

Chase%24

Speed20

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsDixon Machado (age 20) · Michael Reed (age 20) · Brandon Short (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 44 proj PA

wRC+†68

AVG/OBP/SLG.214 / .289 / .292

PA44

HR0

K%25

BB%8

ISO79

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$13M ctrl surplus

Tools · ContractCON 55 / POW 35

Toolsscout grade

CONTACT55

scouting grade only

POWER35

scouting grade only

EYE54

scouting grade only

SPEED59

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	+0.4	$1M	+$0.5M
2034	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2035	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2036	Arb-1	$1M	+0.2	$0.4M	+$0.0M (cut)
2037	Arb-2	$1M	—	—	—
2038	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)
2024	17	ROK	DSL LAD Bautista	—	181	134	34	6	1	0	36	30	9	9	3	254	441	313	755	60	327	17	20	362	58	—	—	—	—	—	—
2025	18	ROK	DSL LAD Bautista	—	139	114	24	1	1	0	19	20	5	12	6	211	348	237	585	26	255	14	14	286	17	—	—	—	—	—	—
2026	19	ROK	ACL Dodgers	—	76	66	14	3	0	1	7	16	2	2	1	212	307	303	610	91	265	21	9	281	19	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL LAD Bautista	—	181	146	26	4	1	0	24	37	9	9	3	178	330	219	549	41	227	20	13	254	58	—	—	—	—	—	—
2025	18	ROK MLE	DSL LAD Bautista	—	139	120	18	1	1	0	13	24	5	12	6	150	261	175	436	25	170	17	9	193	17	—	—	—	—	—	—
2026	19	ROK MLE	ACL Dodgers	—	76	69	11	2	0	1	4	23	2	2	1	159	227	232	459	72	214	30	5	197	19	—	—	—	—	—	—
2024	17	ROK MLE	DSL LAD Bautista	—	181	146	26	4	1	0	24	37	9	9	3	178	330	219	549	41	239	20	13	254	58	—	—	—	—	—	—
2024	17	ROK RAW	DSL LAD Bautista	—	181	134	34	6	1	0	36	30	9	9	3	254	441	313	755	60	327	17	20	362	58	—	—	—	—	—	—
2025	18	ROK MLE	DSL LAD Bautista	—	139	120	18	1	1	0	13	24	5	12	6	150	261	175	436	25	188	17	9	193	17	—	—	—	—	—	—
2025	18	ROK RAW	DSL LAD Bautista	—	139	114	24	1	1	0	19	20	5	12	6	211	348	237	585	26	255	14	14	286	17	—	—	—	—	—	—
2026	19	ROK MLE	ACL Dodgers	—	76	69	11	2	0	1	4	23	2	2	1	159	227	232	459	72	222	30	5	197	19	—	—	—	—	—	—
2026	19	ROK RAW	ACL Dodgers	—	76	66	14	3	0	1	7	16	2	2	1	212	307	303	610	91	265	21	9	281	19	—	—	—	—	—	—
2024	17	ROK MLE	DSL LAD Bautista	—	181	146	26	4	1	0	24	37	9	9	3	178	330	219	549	41	227	20	13	254	58	—	—	—	—	—	—
2025	18	ROK MLE	DSL LAD Bautista	—	139	120	18	1	1	0	13	24	5	12	6	150	261	175	436	25	170	17	9	193	17	—	—	—	—	—	—
2026	19	ROK MLE	ACL Dodgers	—	76	70	11	2	0	1	4	23	2	2	1	157	227	229	455	71	214	30	5	197	19	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL LAD Bautista	—	181	146	26	4	1	0	24	37	9	9	3	178	330	219	549	41	227	20	13	254	58	—	—	—	—	—	—
2025	18	ROK MLE	DSL LAD Bautista	—	139	120	18	1	1	0	13	24	5	12	6	150	261	175	436	25	170	17	9	193	17	—	—	—	—	—	—
2026	19	ROK MLE	ACL Dodgers	—	76	70	11	2	0	1	4	23	2	2	1	157	227	229	455	71	214	30	5	197	19	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	LAD	0%	186	166	36	6	1	2	15	47	3	4	1	216	292	295	586	79	287	25	8	269	68	-7	+0	+0	+2	+4	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	LAD	34%	99	89	20	3	1	1	8	25	2	2	1	220	296	310	606	89	289	25	8	277	74	-3	+0	+0	+1	+2	0.0
2029	22	MLB MLE	LAD	48%	186	166	37	6	1	3	15	46	3	4	1	224	300	322	621	98	290	25	8	283	78	-5	+0	+0	+2	+4	0.2
2030	23	MLB MLE	LAD	54%	283	254	57	9	2	4	23	69	4	7	2	227	303	331	633	104	291	24	8	288	81	-6	+1	+0	+3	+6	0.3
2031	24	MLB MLE	LAD	55%	362	323	73	12	2	6	30	88	6	9	2	229	305	338	643	109	292	24	8	291	83	-7	+1	+0	+4	+8	0.6
2032	25	MLB MLE	LAD	56%	407	364	84	14	3	7	34	98	6	10	2	230	306	344	650	113	292	24	8	294	85	-7	+1	+0	+4	+9	0.7
2033	26	MLB MLE	LAD	56%	435	390	90	15	3	8	36	105	6	10	3	230	306	344	650	114	292	24	8	294	85	-8	+1	+0	+5	+9	0.7
2034	27	MLB MLE	LAD	55%	445	398	91	15	3	8	37	108	7	10	3	229	305	342	647	112	291	24	8	293	84	-8	+1	+0	+5	+10	0.7
2035	28	MLB MLE	LAD	55%	446	400	91	15	3	8	37	109	6	10	3	228	303	337	640	110	290	24	8	290	82	-9	+1	-1	+5	+10	0.5
2036	29	MLB MLE	LAD	58%	439	394	89	15	3	7	36	108	6	9	3	225	301	331	632	106	289	25	8	287	80	-10	+1	-1	+5	+10	0.3
2037	30	MLB MLE	LAD	55%	428	384	85	14	2	7	35	107	6	8	3	223	297	324	621	101	288	25	8	282	77	-12	+0	-2	+5	+9	0.1
2028	21	MLB CTX	LAD	34%	34	30	6	1	0	0	3	8	1	1	0	216	292	303	595	86	282	24	9	273	74	-1	+0	+0	+0	+1	0.0
2029	22	MLB CTX	LAD	48%	90	82	18	3	1	1	7	22	1	2	1	220	296	315	611	95	283	24	8	279	78	-2	+0	+0	+1	+2	0.1
2030	23	MLB CTX	LAD	54%	153	137	30	5	1	2	13	37	2	4	1	223	299	325	623	102	284	24	8	284	81	-3	+0	+0	+2	+3	0.2
2031	24	MLB CTX	LAD	55%	201	179	40	6	1	4	17	49	3	5	1	225	301	332	633	107	285	24	8	287	83	-4	+1	+0	+2	+4	0.3
2032	25	MLB CTX	LAD	56%	228	204	45	7	1	4	19	55	3	5	1	226	302	338	640	111	285	24	8	290	85	-4	+1	+0	+2	+5	0.4
2033	26	MLB CTX	LAD	56%	245	219	50	8	1	5	20	59	4	6	1	226	302	338	641	112	285	24	8	290	85	-4	+1	+0	+3	+5	0.4
2034	27	MLB CTX	LAD	55%	246	220	50	8	1	5	20	60	4	6	2	225	301	336	637	111	285	24	8	289	84	-5	+0	+0	+3	+5	0.4
2035	28	MLB CTX	LAD	55%	245	219	49	8	1	4	20	60	4	5	1	224	300	331	631	108	284	24	8	286	82	-5	+1	-0	+3	+5	0.3
2036	29	MLB CTX	LAD	58%	255	228	50	8	1	4	21	63	4	5	2	221	297	325	622	104	283	25	8	283	80	-6	+0	-1	+3	+6	0.2
2037	30	MLB CTX	LAD	55%	237	213	46	7	1	4	19	59	3	4	2	219	294	318	612	99	282	25	8	279	77	-6	+0	-1	+3	+5	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1934	1731	384	61	9	33	159	472	29	43	12	222	298	325	623	103	284	24	8	285	77	-42	+4	-2	+21	+42	2.3
/ 162G	—	A+C		—	650	582	129	21	3	11	53	159	10	14	4	222	298	325	622	103	284	24	8	285	77	-14	+1	-1	+7	+14	0.8
Career	—	MLE		—	3970	3536	779	126	25	60	336	958	69	103	33	220	300	321	621	101	284	24	8	282	77	-78	+7	-4	+38	+77	4.1
/ 162G	—	MLE		—	650	579	128	21	4	10	55	157	11	17	5	221	301	323	624	102	284	24	8	282	77	-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 ROKACL Dodgers · 76 PAwOBA .274 → .197 (−77)K% 21.1% → 30.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.05%	÷1.000	×1.440	—	—	30.32%
BB% (unintentional) /PA	9.21%	÷1.000	×0.620	—	×0.995	5.68%
HBP% /PA	2.63%	—	×0.720	—	×0.995	1.89%
Singles /BIP	20.00%	÷1.000	×0.820	×1.020	×0.995	16.65%
Doubles /BIP	6.00%	÷1.000	×0.720	×1.020	×0.995	4.38%
Triples /BIP	0.00%	÷1.000	×0.720	×1.020	×0.995	0.00%
Home runs /BIP	2.00%	÷1.000	×0.780	—	×0.995	1.55%

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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.020.

Result: wOBA .274 → .197; ISO .091 → .065; BABIP .265 → .214. 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 DSLDSL LAD Bautista · 139 PAwOBA .280 → .193 (−87)K% 14.4% → 17.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.39%	÷1.007	×1.220	—	—	17.43%
BB% (unintentional) /PA	13.67%	÷1.022	×0.700	—	×0.995	9.32%
HBP% /PA	3.60%	—	×0.700	—	×0.995	2.51%
Singles /BIP	23.40%	÷1.031	×0.680	×1.031	×0.995	15.83%
Doubles /BIP	1.06%	÷1.093	×0.600	×1.031	×0.995	0.60%
Triples /BIP	1.06%	÷1.150	×0.600	×1.031	×0.995	0.57%
Home runs /BIP	0.00%	÷1.075	×0.470	—	×0.995	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 115, 1B 106, 2B 119, 3B 130, K 101, BB 104 — 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 ×1.031.

Result: wOBA .280 → .193; ISO .026 → .015; BABIP .255 → .170. 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 LAD Bautista · 181 PAwOBA .354 → .254 (−101)K% 16.6% → 20.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.57%	÷0.994	×1.220	—	—	20.35%
BB% (unintentional) /PA	19.89%	÷1.051	×0.700	—	×1.008	13.35%
HBP% /PA	4.97%	—	×0.700	—	×1.008	3.51%
Singles /BIP	25.96%	÷0.998	×0.680	×1.033	×1.008	18.41%
Doubles /BIP	5.77%	÷0.963	×0.600	×1.033	×1.008	3.74%
Triples /BIP	0.96%	÷1.150	×0.600	×1.033	×1.008	0.52%
Home runs /BIP	0.00%	÷1.059	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 112, 1B 100, 2B 92, 3B 130, K 99, 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 ×1.033.

Result: wOBA .354 → .254; ISO .060 → .041; BABIP .327 → .227. 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
#1Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#2Gordon 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
#3Jose Uribe'84-'93 * career totals — 9 seasons, 3,369 PA	5.1	3,369	19	74	240*	300*	338*	+36	+27	7.8	7.7
/162	664	4	15	+7.1	+5.3	1.5	pk7: 8
#4Gene Michael'66-'75 * career totals — 9 seasons, 3,095 PA	4.7	3,095	15	22	233*	291*	316*	+32	+27	4.6	5.8
/162	664	3	5	+6.8	+5.8	1.0	pk7: 7
#5Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.0	1,977	33	44	228	300	336	+21	+18	3.7	3.5
/162	664	11	15	+7.1	+6.0	1.2	pk7: 3
#6Tim Cullen'66-'72 * career totals — 6 seasons, 1,960 PA	3.0	1,960	9	10	229*	288*	313*	+10	+27	2.7	2.7
/162	664	3	3	+3.6	+9.1	0.9	pk7: 3

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
Yojackson Laya (OGILVIE)	20	50→55	30→35	54→59	54	214/289/292	78	287	0	1	25%	8%	68	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dixon Machado 2012 · A	20	45→55	33→45	53→55	45	208/262/242	34	265	1	17	21%	6%	45	-2.7	213/271/276	63	264	3	13	19%	7%	57	-1.8	254/310/331	78	304	5	12	17%	7%	81	-0.1
●Michael Reed 2013 · A	20	43→53	35→45	54→55	40	194/256/250	56	320	2	12	38%	8%	45	-2.7	229/307/322	93	331	3	18	29%	9%	81	-0.1	234/319/339	105	329	4	22	27%	10%	87	+0.3
✕Brandon Short 2009 · A	20	45→54	37→45	49→50	41	210/270/288	78	284	3	14	26%	6%	59	-1.6	242/286/355	113	326	10	10	27%	4%	80	-0.1	250/292/374	124	332	11	11	27%	4%	84	+0.2
✕Ryan Vega 2017 · A	20	44	40	54→45	41	212/260/305	93	270	8	9	24%	5%	59	-1.6	212/271/300	88	287	7	7	27%	6%	63	-1.4	190/257/269	79	268	7	6	30%	7%	50	-1.3
✕Albertson Asigen 2023 · A	21	43	35→40	56→55	50	201/277/262	60	263	2	12	23%	9%	56	-1.9	215/296/295	80	325	5	20	32%	9%	71	-0.8	209/299/294	85	336	7	27	36%	9%	69	-0.3
✕Heiker Meneses 2011 · A	20	37→47	36→40	54→55	41	179/248/245	66	260	4	18	31%	7%	42	-2.9	225/274/303	78	328	4	17	31%	5%	63	-1.3	236/284/314	78	342	3	18	30%	4%	66	-0.8
✕Allen Córdoba 2016 · A	20	46→51	35→45	50→55	44	216/263/272	57	258	3	12	18%	5%	53	-2.1	228/278/310	82	286	5	13	21%	6%	67	-1.1	233/296/332	99	290	8	22	21%	5%	77	-0.2
✕Alberto Rodriguez 2021 · A	20	42→52	38→50	52→50	44	203/259/282	79	268	5	14	25%	7%	53	-2.1	228/290/353	125	327	10	8	31%	7%	82	-0.0	228/292/360	132	326	11	7	31%	7%	81	-0.1
✕Johnni Turbo 2010 · A	21	43→51	38→40	55	36	207/240/290	83	290	4	15	30%	4%	47	-2.5	221/257/304	83	315	5	17	30%	4%	57	-1.8	250/280/336	86	301	6	19	18%	3%	70	-0.5
✕Ronald Bermudez 2007 · A	19	41→47	35→45	56→45	46	192/255/261	69	254	2	9	24%	7%	47	-2.5	214/286/294	80	266	3	10	19%	9%	67	-1.1	260/287/330	70	328	3	4	21%	3%	72	-0.4
✕Che-Hsuan Lin 2008 · A	19	41→51	42→40	56→55	40	200/253/311	111	279	8	14	30%	6%	58	-1.7	229/294/317	88	284	6	19	20%	7%	75	-0.5	243/314/319	76	293	5	22	18%	8%	80	-0.1
✕Jean Carlos Sio 2024 · A	20	41→51	36→45	51→50	51	192/268/258	66	238	4	13	20%	9%	52	-2.2	221/300/315	94	287	8	11	24%	8%	78	-0.3	224/303/331	107	289	11	12	25%	8%	79	-0.2
✕Charcer Burks 2016 · A	21	44→48	37→40	53→50	44	209/266/280	71	281	4	17	26%	7%	55	-1.9	208/279/306	98	289	8	15	28%	8%	67	-1.1	202/280/301	98	284	8	14	29%	8%	65	-1.1
✕Cristian Hernández 2024 · A	20	39→48	37→45	53→60	38	187/246/255	68	296	5	17	37%	7%	42	-2.9	213/278/306	93	307	7	28	30%	8%	67	-1.1	217/285/319	102	301	8	34	29%	8%	69	-0.8
✕Tyler Ladendorf 2009 · A	21	39→49	37→40	53→50	43	188/255/262	74	250	4	9	25%	6%	48	-2.5	214/265/304	90	276	6	9	24%	6%	61	-1.5	224/285/315	91	283	6	3	22%	7%	69	-0.4
✕Luis De Los Santos 2018 · A	20	43→50	35→45	52→45	36	202/243/264	62	274	3	8	26%	3%	43	-2.8	195/240/285	90	279	7	8	31%	4%	47	-2.5	222/288/333	111	299	11	7	28%	7%	74	-0.3
✕Buddy Kennedy 2019 · A	20	45→55	39→45	51→50	44	215/267/304	88	283	5	6	25%	6%	61	-1.5	217/275/326	109	287	10	7	27%	7%	70	-0.8	237/323/352	115	299	9	6	22%	10%	93	+0.7
✕Jahdiel Santamaria 2007 · A	20	44	36→40	52→50	48	207/266/272	65	255	3	11	19%	7%	54	-2.0	216/276/290	74	256	3	10	16%	7%	61	-1.5	225/279/292	68	266	2	9	15%	6%	60	-0.6
✕Diego Infante 2021 · A	21	44→54	38→45	52→50	38	206/256/286	79	316	5	9	35%	6%	53	-2.1	236/290/364	128	360	13	12	36%	7%	84	+0.2	233/284/360	127	349	14	14	35%	6%	79	-0.2
✕Eury Pérez 2009 · A	19	44→54	36→40	54→65	51	204/286/265	61	255	3	20	20%	8%	61	-1.5	257/302/327	70	316	4	28	19%	5%	79	-0.2	300/333/376	75	363	4	37	18%	3%	96	+0.8

Yojackson Laya

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps