Simon Juan

OF St. Lucie Mets

Age 22 R/R 6'0" / 195 lbs A H -5% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	ROKNYM	202	.273/.338/.459	7	4	54	—	.200/.244/.332
2025	20	ANYM	376	.222/.293/.340	7	17	47	—	.188/.247/.284
2026	21	ANYM	298	.215/.260/.362	9	7	20	—	.160/.199/.262
2027PROJMLE	22	MLBNYM	408	.161/.207/.261	8	7	29	-1.1
2028PROJ34% MLB	23	MLBNYM	76	.162/.211/.267	2	1	35	-0.5

Next 2 projected WAR -1.6Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029Ext$0.0M2030Ext$0.0M2031Ext$0.0M2032Ext$0.9M2033Ext$0.9M2034Ext$1.0M+3

Skills · percentileMiLB Statcast 2026 A

Max EV94

Speed62

Z-Con%27

Whiff%26

K%24

BB%8

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

CompsKingston Liniak (age 22) · Ranyelmy Alberto (age 22) · Dyron Campos (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 182 proj PA

wRC+†29

AVG/OBP/SLG.160 / .205 / .259

PA182

HR4

K%39

BB%4

ISO100

MLB%0%

Value2027 · WAR

trajectory · projected WAR by year

Tools · ContractCON 30 / POW 35

Toolsscout grade

CONTACT30

scouting grade only

POWER35

scouting grade only

EYE30

scouting grade only

SPEED50

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	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
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		$0.0M	+$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)
2022	17	ROK	DSL Mets 1	—	231	201	44	9	3	2	20	54	7	16	1	219	309	323	632	104	288	23	9	289	15	—	—	—	—	—	—
2023	18	ROK	FCL Mets	—	147	132	29	5	0	2	12	39	2	1	2	220	295	303	598	83	293	27	8	274	8	—	—	—	—	—	—
2024	19	ROK	FCL Mets	—	202	183	50	11	1	7	17	48	1	4	1	273	338	459	797	186	333	24	8	351	54	—	—	—	—	—	—
2025	20	A	St. Lucie Mets	—	376	338	75	13	3	7	29	111	5	17	4	222	293	340	633	118	304	30	8	285	47	—	—	—	—	—	—
2026	21	A	St. Lucie Mets	—	298	279	60	10	2	9	11	97	6	7	5	215	260	362	622	147	291	33	4	276	20	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Mets 1	—	231	209	30	6	2	1	14	65	7	16	1	144	222	206	427	62	192	28	6	190	15	—	—	—	—	—	—
2023	18	ROK MLE	FCL Mets	—	147	136	19	3	0	1	8	59	2	1	2	140	199	184	382	44	235	40	5	180	8	—	—	—	—	—	—
2024	19	ROK MLE	FCL Mets	—	202	190	38	8	1	5	10	71	1	4	1	200	244	332	575	132	284	35	5	248	54	—	—	—	—	—	—
2025	20	A MLE	St. Lucie Mets	—	376	345	65	11	2	6	22	143	5	17	4	188	247	284	531	96	290	38	6	237	47	—	—	—	—	—	—
2026	21	A MLE	St. Lucie Mets	—	298	282	45	7	2	6	8	132	6	7	5	160	199	262	462	103	257	44	3	198	20	—	—	—	—	—	—
2022	17	ROK MLE	DSL Mets 1	—	231	209	30	6	2	1	14	65	7	16	1	144	222	206	427	62	201	28	6	190	15	—	—	—	—	—	—
2022	17	ROK RAW	DSL Mets 1	—	231	201	44	9	3	2	20	54	7	16	1	219	309	323	632	104	288	23	9	289	15	—	—	—	—	—	—
2023	18	ROK MLE	FCL Mets	—	147	136	19	3	0	1	8	59	2	1	2	140	199	184	382	44	234	40	5	180	8	—	—	—	—	—	—
2023	18	ROK RAW	FCL Mets	—	147	132	29	5	0	2	12	39	2	1	2	220	295	303	598	83	293	27	8	274	8	—	—	—	—	—	—
2024	19	ROK MLE	FCL Mets	—	202	190	38	8	1	5	10	71	1	4	1	200	244	332	575	132	287	35	5	248	54	—	—	—	—	—	—
2024	19	ROK RAW	FCL Mets	—	202	183	50	11	1	7	17	48	1	4	1	273	338	459	797	186	333	24	8	351	54	—	—	—	—	—	—
2025	20	A MLE	St. Lucie Mets	—	376	345	65	11	2	6	22	143	5	17	4	188	247	284	531	96	295	38	6	237	47	—	—	—	—	—	—
2025	20	A RAW	St. Lucie Mets	—	376	338	75	13	3	7	29	111	5	17	4	222	293	340	633	118	304	30	8	285	47	—	—	—	—	—	—
2026	21	A MLE	St. Lucie Mets	—	298	282	45	7	2	6	8	132	6	7	5	160	199	262	462	103	267	44	3	198	20	—	—	—	—	—	—
2026	21	A RAW	St. Lucie Mets	—	298	279	60	10	2	9	11	97	6	7	5	215	260	362	622	147	291	33	4	276	20	—	—	—	—	—	—
2022	17	ROK MLE	DSL Mets 1	—	231	208	30	6	2	1	14	65	7	16	1	144	222	207	428	62	192	28	6	190	15	—	—	—	—	—	—
2023	18	ROK MLE	FCL Mets	—	147	136	19	3	0	1	8	59	2	1	2	140	199	184	382	44	235	40	5	180	8	—	—	—	—	—	—
2024	19	ROK MLE	FCL Mets	—	202	189	38	8	1	5	10	71	1	4	1	201	244	333	577	132	284	35	5	248	54	—	—	—	—	—	—
2025	20	A MLE	St. Lucie Mets	—	376	346	65	11	2	6	22	143	5	17	4	188	247	283	531	95	290	38	6	237	47	—	—	—	—	—	—
2026	21	A MLE	St. Lucie Mets	—	298	282	45	7	2	6	8	132	6	7	5	160	199	262	462	103	257	44	3	198	20	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	ROK MLE	FCL Mets	—	202	189	38	8	1	5	10	71	1	4	1	201	244	333	577	132	284	35	5	248	54	—	—	—	—	—	—
2025	20	A MLE	St. Lucie Mets	—	376	346	65	11	2	6	22	143	5	17	4	188	247	283	531	95	290	38	6	237	47	—	—	—	—	—	—
2026	21	A MLE	St. Lucie Mets	—	298	282	45	7	2	6	8	132	6	7	5	160	199	262	462	103	257	44	3	198	20	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	NYM	0%	408	383	62	11	2	8	17	158	5	7	3	161	207	261	468	100	244	39	4	211	29	-34	+0	+0	-2	+9	-1.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	NYM	34%	222	207	35	6	1	5	10	83	3	4	1	167	215	274	489	107	247	37	5	220	35	-17	+0	+0	-1	+5	-1.3
2028	23	MLB CTX	NYM	34%	76	72	12	2	0	2	3	29	1	1	1	162	211	267	478	105	239	38	4	216	35	-6	-0	+0	-0	+2	-0.5
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	76	72	12	2	0	2	3	29	1	1	1	167	211	278	488	111	244	38	4	216	31	-6	-0	+0	-0	+2	-0.5
/ 162G	—	A+C		—	650	616	102	17	0	17	26	248	9	9	9	166	211	276	487	110	242	38	4	216	31	-50	-2	+0	-4	+14	-4.2
Career	—	MLE		—	1658	1539	260	46	9	28	80	623	26	52	15	169	222	265	488	96	258	38	5	215	31	-32	+1	+0	-2	+9	-2.6
/ 162G	—	MLE		—	650	603	102	18	4	11	31	244	10	20	6	169	222	267	489	98	259	38	5	215	31	-52	+1	+0	-4	+14	-4.2

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 · 298 PAwOBA .270 → .198 (−72)K% 32.6% → 44.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.55%	÷1.000	×1.360	—	—	44.27%
BB% (unintentional) /PA	3.69%	÷1.000	×0.690	—	×1.015	2.59%
HBP% /PA	2.01%	—	×0.780	—	×1.015	1.59%
Singles /BIP	21.43%	÷1.000	×0.920	×0.975	×1.015	19.51%
Doubles /BIP	5.49%	÷1.000	×0.830	×0.975	×1.015	4.51%
Triples /BIP	1.10%	÷1.000	×0.910	×0.975	×1.015	0.99%
Home runs /BIP	4.95%	÷1.000	×0.800	—	×1.015	4.02%

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 ×0.975.

Result: wOBA .270 → .198; ISO .147 → .102; BABIP .291 → .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 ASt. Lucie Mets · 376 PAwOBA .280 → .237 (−43)K% 29.5% → 37.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.52%	÷1.060	×1.360	—	—	37.88%
BB% (unintentional) /PA	7.71%	÷0.953	×0.690	—	×1.030	5.75%
HBP% /PA	1.33%	—	×0.780	—	×1.030	1.07%
Singles /BIP	22.91%	÷0.977	×0.920	×0.998	×1.030	22.18%
Doubles /BIP	5.73%	÷0.903	×0.830	×0.998	×1.030	5.41%
Triples /BIP	1.32%	÷1.150	×0.910	×0.998	×1.030	1.08%
Home runs /BIP	3.08%	÷0.855	×0.800	—	×1.030	2.97%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 71, 1B 95, 2B 81, 3B 130, K 112, BB 91 — 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 ×0.998.

Result: wOBA .280 → .237; ISO .118 → .101; BABIP .304 → .290. 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 · 202 PAwOBA .343 → .248 (−95)K% 23.8% → 35.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.76%	÷0.973	×1.440	—	—	35.17%
BB% (unintentional) /PA	8.42%	÷1.068	×0.620	—	×1.008	4.92%
HBP% /PA	0.50%	—	×0.720	—	×1.008	0.36%
Singles /BIP	22.96%	÷0.979	×0.820	×1.050	×1.008	20.34%
Doubles /BIP	8.15%	÷0.952	×0.720	×1.050	×1.008	6.52%
Triples /BIP	0.74%	÷0.900	×0.720	×1.050	×1.008	0.63%
Home runs /BIP	5.19%	÷0.974	×0.780	—	×1.008	4.18%

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 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 ×1.050.

Result: wOBA .343 → .248; ISO .186 → .134; BABIP .333 → .284. 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 ROKFCL Mets · 147 PAwOBA .269 → .180 (−89)K% 26.5% → 40.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.53%	÷0.949	×1.440	—	—	40.27%
BB% (unintentional) /PA	8.16%	÷1.004	×0.620	—	×1.022	5.15%
HBP% /PA	1.36%	—	×0.720	—	×1.022	1.00%
Singles /BIP	23.66%	÷1.046	×0.820	×1.014	×1.022	19.22%
Doubles /BIP	5.38%	÷0.953	×0.720	×1.014	×1.022	4.21%
Triples /BIP	0.00%	÷0.979	×0.720	×1.014	×1.022	0.00%
Home runs /BIP	2.15%	÷1.040	×0.780	—	×1.022	1.65%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 109, 2B 91, 3B 96, K 90, BB 101 — 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 ×1.014.

Result: wOBA .269 → .180; ISO .083 → .055; BABIP .293 → .235. 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 Mets 1 · 231 PAwOBA .282 → .190 (−92)K% 23.4% → 28.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.38%	÷1.010	×1.220	—	—	28.24%
BB% (unintentional) /PA	8.23%	÷0.968	×0.700	—	×1.022	6.08%
HBP% /PA	3.03%	—	×0.700	—	×1.022	2.17%
Singles /BIP	20.41%	÷1.016	×0.680	×1.003	×1.022	14.01%
Doubles /BIP	6.12%	÷1.000	×0.600	×1.003	×1.022	3.77%
Triples /BIP	2.04%	÷0.900	×0.600	×1.003	×1.022	1.40%
Home runs /BIP	1.36%	÷0.950	×0.470	—	×1.022	0.69%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 103, 2B 100, 3B 80, K 102, BB 94 — 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 ×1.003.

Result: wOBA .282 → .190; ISO .104 → .063; BABIP .288 → .192. 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 Mayberry Jr.last yr '15 career totals — 6 seasons, 1,506 PA	2.3	1,506	54	15	234	298	417	-6	-18	1.7	1.7
/162	664	24	7	-2.8	-8.1	0.8	pk7: 2
#2Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#3Dave McCarty'93-'05 * career totals — 9 seasons, 1,647 PA	2.5	1,647	36	9	233*	295*	365*	-26	+16	-1.1	0.5
/162	664	15	4	-10.5	+6.6	-0.4	pk7: 2
#4Jimmy Stewart'63-'73 * career totals — 8 seasons, 1,602 PA	2.4	1,602	8	38	235*	309*	329*	-1	+2	-0.2	0.5
/162	664	3	16	-0.4	+0.7	-0.1	pk7: 1
#5Karim Garcia'95-'04 * career totals — 6 seasons, 1,560 PA	2.3	1,560	66	10	231*	269*	413*	-16	-3	-1.0	0.1
/162	664	28	4	-6.7	-1.3	-0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 1 projected seasons	0.4	258	5	5	163	208	266	-2	+0	-1.5	-0.8
/162	664	13	12	-4.0	+0.0	-3.9	pk7: 0
#6Seth Brownlast yr '25 career totals — 6 seasons, 1,799 PA	2.7	1,799	74	24	227	293	421	-23	-34	-0.8	-0.8
/162	664	27	9	-8.6	-12.4	-0.3	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
Simon Juan (OGILVIE)	22	30	35	50	30	160/205/259	99	244	4	3	39%	4%	29	-1.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Kingston Liniak 2022 · A	22	33→26	42→45	52→50	38	170/231/275	105	255	10	13	36%	6%	42	-2.9	190/258/294	104	276	9	10	32%	8%	57	-1.8	146/240/225	79	200	7	3	29%	11%	33	-0.8
✕Ranyelmy Alberto 2016 · A	22	34	43→40	46→45	37	177/232/286	109	272	11	10	38%	6%	45	-2.7	190/234/271	81	314	6	6	39%	5%	41	-3.0	167/198/209	43	292	2	1	42%	4%	10	-2.6
✕Dyron Campos 2023 · A	22	35	42→30	47→50	38	182/234/282	100	256	10	7	32%	6%	45	-2.7	179/233/271	92	282	8	9	38%	5%	42	-2.9	121/174/196	75	193	8	13	41%	3%	1	-1.9
✕Ignacio Valdez 2017 · A	22	30	45	45→50	37	163/227/284	121	244	13	4	38%	6%	43	-2.8	176/235/284	108	321	11	4	45%	6%	46	-2.6	129/156/191	62	248	4	0	48%	3%	-9	-1.2
✕Angel Aguilar 2017 · A	22	37→38	43→45	51→50	35	191/230/300	109	269	11	11	33%	4%	47	-2.6	191/225/291	100	270	9	9	32%	3%	42	-2.9	183/214/279	96	258	8	8	32%	3%	33	-2.2
✕Brendan Venter 2019 · A	22	35	43→40	48→30	37	183/235/289	106	252	12	5	32%	5%	47	-2.6	187/257/292	105	293	10	4	38%	5%	57	-1.8	155/237/252	97	256	10	0	40%	4%	39	-1.7
✕Kenny Diekroeger 2013 · A	22	35	44→40	52→45	36	183/231/290	107	275	12	7	38%	6%	45	-2.7	184/224/254	70	277	7	7	35%	4%	34	-3.5	186/226/245	59	267	6	8	31%	4%	30	-2.1
✕Dwight Britton 2009 · A	22	37	39→40	47→50	34	183/232/268	85	284	7	11	37%	5%	40	-3.0	204/256/307	103	313	11	13	36%	5%	59	-1.7	194/246/296	102	279	14	21	35%	4%	51	-0.8
✕Maikol Escotto 2024 · A	22	35	41→45	47→50	35	179/230/275	96	276	10	12	38%	5%	42	-2.9	190/232/297	107	275	12	16	34%	4%	47	-2.5	179/219/283	104	251	14	22	34%	4%	37	-1.4
✕Osiris Johnson 2022 · A	21	35	44→40	51→50	37	181/235/289	108	264	12	7	36%	6%	47	-2.6	192/240/283	91	267	10	11	31%	5%	47	-2.5	183/230/260	77	248	9	15	29%	5%	36	-1.5
✕Chris Baker 2018 · A	23	36→30	41→40	48→45	35	181/230/280	99	273	9	6	36%	5%	42	-2.9	187/236/277	90	296	8	7	38%	5%	44	-2.8	168/214/244	77	270	8	5	40%	5%	26	-1.2
✕Jose Almonte 2019 · A	22	37	42→40	48→45	35	185/245/281	95	284	10	7	37%	5%	49	-2.4	172/221/260	88	294	7	6	42%	5%	34	-3.5	103/142/173	71	180	5	2	45%	3%	-17	-2.5
✕Louis Silverio 2016 · A	22	38	42→40	48→30	33	194/229/298	103	285	10	6	35%	4%	46	-2.6	200/227/291	91	284	7	4	31%	3%	42	-2.9	198/218/282	84	277	6	1	31%	2%	34	-1.6
✕Sthervin Matos 2016 · A	22	36→35	40→50	51→50	37	183/233/274	90	264	8	14	33%	5%	42	-2.9	191/240/282	91	286	8	10	34%	6%	47	-2.6	142/175/217	75	206	8	2	35%	4%	3	-1.4
✕Gabriel Rosa 2014 · A	21	35	40	51→50	38	178/237/265	88	260	9	12	34%	6%	42	-2.9	186/250/277	91	276	8	12	33%	6%	50	-2.3	137/205/222	84	200	8	18	34%	6%	19	-1.3
✕Fabian Pertuz 2023 · A	22	39→36	40	49→55	34	191/235/284	93	286	8	9	35%	4%	45	-2.7	178/229/269	91	272	8	12	36%	5%	40	-3.1	151/206/232	81	230	8	13	37%	5%	21	-2.3
✕Lizandro Espinoza 2024 · A	21	31→24	39→45	47→60	38	161/223/240	80	247	7	10	36%	6%	31	-3.7	167/231/270	103	253	11	20	37%	7%	42	-2.9	159/229/271	111	233	12	30	36%	7%	39	-1.8
✕Jonathan Willems 2021 · A	22	39	42→45	47→55	33	197/234/302	104	283	10	6	33%	3%	49	-2.4	182/232/270	88	305	8	11	41%	4%	41	-3.0	137/187/211	74	232	7	12	43%	3%	9	-1.3
✕Ariel Sandoval 2018 · A	22	37→36	45	45→50	31	189/228/311	122	292	14	9	40%	4%	49	-2.4	182/229/294	112	303	12	10	42%	5%	46	-2.6	169/216/277	108	279	12	11	42%	5%	34	-2.6
✕Sammy Infante 2023 · A	22	33→26	45	48→55	36	171/240/293	122	282	14	10	42%	7%	51	-2.3	190/256/283	93	303	8	16	37%	7%	54	-2.0	180/250/254	74	287	5	20	36%	6%	43	-1.3

Simon Juan

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps