Jhomnardo Reyes

OF FCL Twins

Age 19 L/L 6'3" / 186 lbs ROK Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1177ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKMIN	207	.291/.392/.469	1	10	45	—	.176/.265/.264
2026	18	A/ROK2 orgs	343	.252/.372/.399	7	24	58	—	.186/.279/.285
2027PROJMLE	19	MLBMIN	453	.214/.288/.323	7	9	74	-0.3
2028PROJ34% MLB	20	MLBMIN	103	.221/.296/.347	2	2	82	-0.1
2029PROJ48% MLB	21	MLBMIN	198	.227/.303/.368	5	4	89	-0.0

Next 3 projected WAR -0.4Projected 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

Speed67

Z-Con%63

BB%57

K%52

Chase%47

Whiff%45

Career WAR0.0 WAR median (P10 -0.3 / P90 3.0, comp-based) · star 2% · didn't stick 90%

CompsCarlos Jimenez (age 19) · Akil Baddoo (age 19) · Davis Schneider (age 19)

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

wRC+†74

AVG/OBP/SLG.212 / .285 / .320

PA210

HR3

K%26

BB%8

ISO109

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$23M ctrl surplus

Contract

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	+0.7	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2035	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2036	Arb-1	$3M	+0.5	$1M	+$0.0M (cut)
2037	Arb-2	$3M	+0.4	$0.7M	+$0.0M (cut)
2038	Arb-3	$3M	+0.2	$0.3M	+$0.0M (cut)
Totals		$3M		$7M	+$4M

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)
2025	17	ROK	DSL Twins	—	207	175	51	10	9	1	24	59	5	10	7	291	392	469	861	177	424	29	12	376	45	—	—	—	—	—	—
2026	18	A	Delmarva Shorebirds	—	150	127	25	1	1	0	22	35	1	10	4	197	320	220	540	24	272	23	15	265	28	—	—	—	—	—	—
2026	18	ROK	FCL Twins	—	193	159	47	12	3	7	27	44	5	14	12	296	414	541	954	245	364	23	14	414	82	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Twins	—	207	182	32	6	5	0	17	73	5	10	7	176	265	264	528	88	266	35	8	234	45	—	—	—	—	—	—
2026	18	A MLE	Delmarva Shorebirds	—	150	133	22	1	1	0	16	48	1	10	4	165	260	188	448	23	254	32	11	210	28	—	—	—	—	—	—
2026	18	ROK MLE	FCL Twins	—	193	169	34	8	2	5	17	63	5	14	12	201	293	361	654	160	280	33	9	289	82	—	—	—	—	—	—
2025	17	ROK MLE	DSL Twins	—	207	182	32	6	5	0	17	73	5	10	7	176	265	264	528	88	286	35	8	234	45	—	—	—	—	—	—
2025	17	ROK RAW	DSL Twins	—	207	175	51	10	9	1	24	59	5	10	7	291	392	469	861	177	424	29	12	376	45	—	—	—	—	—	—
2026	18	ROK MLE	2 teams	—	343	302	57	9	3	5	33	111	6	24	16	189	282	288	570	99	277	32	10	254	58	—	—	—	—	—	—
2026	18	ROK RAW	2 teams	—	343	286	72	13	4	7	49	79	6	24	16	252	372	399	771	147	322	23	14	349	58	—	—	—	—	—	—
2025	17	ROK MLE	DSL Twins	—	207	183	32	6	5	0	17	73	5	10	7	175	265	262	527	87	266	35	8	234	45	—	—	—	—	—	—
2026	18	ROK MLE	2 teams	—	343	301	57	9	3	5	33	111	6	24	16	189	282	289	571	100	269	32	10	254	58	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL Twins	—	207	183	32	6	5	0	17	73	5	10	7	175	265	262	527	87	266	35	8	234	45	—	—	—	—	—	—
2026	18	ROK MLE	2 teams	—	343	301	57	9	3	5	33	111	6	24	16	189	282	289	571	100	269	32	10	254	58	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	MIN	0%	453	408	87	16	3	7	37	116	5	9	3	214	288	323	611	109	278	26	8	277	74	-14	+1	-2	-3	+10	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	MIN	34%	301	269	60	11	2	6	25	76	4	6	2	221	296	346	642	125	281	25	8	289	82	-6	+0	-2	-2	+7	-0.3
2029	21	MLB MLE	MIN	48%	408	365	82	14	3	10	35	101	5	9	3	227	303	367	670	140	283	25	9	300	89	-5	+1	-2	-2	+9	0.0
2030	22	MLB MLE	MIN	54%	455	407	94	16	3	13	39	111	6	9	3	232	308	383	691	151	284	24	9	308	95	-3	+1	-1	-3	+10	0.4
2031	23	MLB MLE	MIN	57%	505	451	106	18	4	15	43	122	6	10	4	235	311	394	706	159	286	24	9	314	99	-1	+0	-1	-3	+11	0.7
2032	24	MLB MLE	MIN	57%	561	501	120	21	4	18	48	135	7	11	4	238	314	403	716	165	287	24	9	318	102	+1	+1	+0	-3	+12	1.1
2033	25	MLB MLE	MIN	57%	583	521	124	21	4	19	50	140	7	11	4	239	315	407	722	168	287	24	9	321	103	+2	+1	+0	-3	+13	1.2
2034	26	MLB MLE	MIN	56%	594	531	127	22	4	20	51	142	7	11	4	240	315	410	725	171	287	24	9	322	104	+3	+1	+0	-4	+13	1.3
2035	27	MLB MLE	MIN	55%	592	529	127	22	4	20	51	143	7	11	4	238	314	407	722	169	286	24	9	320	103	+2	+1	+0	-4	+13	1.2
2036	28	MLB MLE	MIN	55%	583	521	123	21	4	19	50	142	7	10	4	237	312	403	715	166	285	24	9	318	101	+1	+0	-1	-3	+13	1.0
2037	29	MLB MLE	MIN	58%	566	506	118	20	4	18	49	139	6	8	4	234	309	396	705	162	284	25	9	314	99	-1	+0	-1	-3	+12	0.7
2038	30	MLB MLE	MIN	60%	552	494	113	19	3	17	47	138	6	8	5	231	306	388	694	157	282	25	9	309	95	-3	-0	-2	-3	+12	0.3
2039	31	MLB MLE	MIN	62%	534	478	108	18	3	16	45	135	6	6	6	227	301	378	679	152	279	25	8	303	91	-6	-1	-3	-3	+12	-0.1
2028	20	MLB CTX	MIN	34%	103	92	21	4	1	2	9	26	1	2	1	221	296	347	642	126	281	25	9	289	82	-2	+0	-1	-1	+2	-0.1
2029	21	MLB CTX	MIN	48%	198	177	40	7	1	5	17	49	2	4	2	227	303	368	670	141	283	25	9	300	89	-3	+0	-1	-1	+4	-0.0
2030	22	MLB CTX	MIN	54%	247	221	52	9	2	7	21	60	3	5	2	232	308	384	691	152	284	24	9	309	95	-2	+0	-1	-1	+5	0.2
2031	23	MLB CTX	MIN	57%	286	255	60	10	2	9	25	69	4	6	2	236	311	395	706	160	286	24	9	314	99	-0	+0	-0	-2	+6	0.4
2032	24	MLB CTX	MIN	57%	317	283	67	12	2	10	27	76	4	6	2	238	314	404	717	165	287	24	9	319	102	+1	+0	+0	-2	+7	0.6
2033	25	MLB CTX	MIN	57%	329	294	70	12	2	11	28	79	4	6	2	239	315	408	723	169	287	24	9	321	103	+1	+0	+0	-2	+7	0.7
2034	26	MLB CTX	MIN	56%	336	300	71	12	2	11	29	81	4	6	2	240	315	411	726	171	287	24	9	322	104	+2	+0	+0	-2	+7	0.7
2035	27	MLB CTX	MIN	55%	328	293	70	12	2	11	28	79	4	6	2	239	314	408	723	170	286	24	9	321	103	+1	+0	+0	-2	+7	0.7
2036	28	MLB CTX	MIN	55%	320	285	68	12	2	11	28	78	4	5	2	237	312	403	716	167	285	24	9	318	101	+0	+0	-0	-2	+7	0.5
2037	29	MLB CTX	MIN	58%	329	294	69	12	2	11	28	81	4	5	2	234	309	397	706	163	284	25	9	314	99	-1	+0	-1	-2	+7	0.4
2038	30	MLB CTX	MIN	60%	333	298	69	12	2	10	28	83	4	5	3	231	306	389	695	158	282	25	8	309	95	-2	-0	-1	-2	+7	0.2
2039	31	MLB CTX	MIN	62%	330	296	67	11	2	10	28	84	3	4	4	227	301	379	680	152	279	25	8	303	91	-3	-1	-2	-2	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3456	3088	724	125	22	108	296	845	41	60	26	234	310	394	704	160	286	24	9	314	94	-8	+2	-7	-21	+75	4.2
/ 162G	—	A+C		—	650	581	136	24	4	20	56	159	8	11	5	234	311	392	703	158	286	24	9	314	94	-1	+0	-1	-4	+14	0.8
Career	—	MLE		—	6994	6246	1431	245	52	199	600	1762	87	148	72	229	305	381	686	151	285	25	9	306	94	-23	+3	-13	-39	+140	6.9
/ 162G	—	MLE		—	650	580	133	23	5	18	56	164	8	14	7	229	306	379	685	150	286	25	9	306	94	-2	+0	-1	-4	+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 ROKFCL Twins · 193 PAwOBA .408 → .289 (−119)K% 22.8% → 32.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.80%	÷1.000	×1.440	—	—	32.83%
BB% (unintentional) /PA	13.99%	÷1.000	×0.620	—	×1.008	8.74%
HBP% /PA	2.59%	—	×0.720	—	×1.008	1.88%
Singles /BIP	21.74%	÷1.000	×0.820	×0.990	×1.008	17.79%
Doubles /BIP	10.43%	÷1.000	×0.720	×0.990	×1.008	7.50%
Triples /BIP	2.61%	÷1.000	×0.720	×0.990	×1.008	1.87%
Home runs /BIP	6.09%	÷1.000	×0.780	—	×1.008	4.78%

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 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 ×0.990.

Result: wOBA .408 → .289; ISO .245 → .176; BABIP .364 → .280. 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 ADelmarva Shorebirds · 150 PAwOBA .260 → .210 (−49)K% 23.3% → 31.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.33%	÷1.000	×1.360	—	—	31.73%
BB% (unintentional) /PA	14.67%	÷1.000	×0.690	—	×1.045	10.58%
HBP% /PA	0.67%	—	×0.780	—	×1.045	0.54%
Singles /BIP	25.00%	÷1.000	×0.920	×0.976	×1.045	23.46%
Doubles /BIP	1.09%	÷1.000	×0.830	×0.976	×1.045	0.92%
Triples /BIP	1.09%	÷1.000	×0.910	×0.976	×1.045	1.01%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.045	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 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 ×0.976.

Result: wOBA .260 → .210; ISO .024 → .020; BABIP .272 → .254. 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 Twins · 207 PAwOBA .373 → .234 (−138)K% 28.5% → 35.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.50%	÷0.990	×1.220	—	—	35.13%
BB% (unintentional) /PA	11.59%	÷0.995	×0.700	—	×1.008	8.22%
HBP% /PA	2.42%	—	×0.700	—	×1.008	1.70%
Singles /BIP	26.72%	÷0.991	×0.680	×0.977	×1.008	18.06%
Doubles /BIP	8.62%	÷0.982	×0.600	×0.977	×1.008	5.19%
Triples /BIP	7.76%	÷1.150	×0.600	×0.977	×1.008	3.99%
Home runs /BIP	0.86%	÷0.953	×0.470	—	×1.008	0.43%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 91, 1B 98, 2B 96, 3B 130, K 98, BB 99 — 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 ×0.977.

Result: wOBA .373 → .234; ISO .177 → .094; BABIP .424 → .266. 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
#1Leroy Stanton'70-'78 * career totals — 7 seasons, 2,883 PA	4.3	2,883	77	36	245*	314*	430*	-33	-1	6.5	7.8
/162	664	18	8	-7.7	-0.2	1.5	pk7: 9
#2Scott Spiezio'96-'07 * career totals — 11 seasons, 4,412 PA	6.6	4,412	119	33	245*	318*	406*	-34	-15	7.5	7.8
/162	664	18	5	-5.2	-2.3	1.1	pk7: 8
#3Scott Hairstonlast yr '14 career totals — 9 seasons, 2,624 PA	4.0	2,624	106	36	242	297	444	-18	-16	6.0	6.6
/162	664	27	9	-4.5	-4.1	1.5	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	5.5	3,665	111	65	234	306	392	-22	+0	6.6	6.1
/162	664	20	12	-4.0	+0.0	1.2	pk7: 6
#4Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#5Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#6Emil Brown'97-'09 * career totals — 7 seasons, 2,508 PA	3.8	2,508	59	52	247*	314*	388*	-25	+8	3.5	4.0
/162	664	16	14	-6.6	+2.1	0.9	pk7: 5

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
Jhomnardo Reyes (OGILVIE)	19	—	—	—	—	212/285/320	108	278	3	4	26%	8%	74	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Carlos Jimenez 2022 · A	19	36→44	39→50	53→55	48	177/265/262	85	249	7	11	30%	9%	53	-2.1	194/283/299	105	299	9	16	34%	10%	68	-1.0	223/303/376	153	308	17	18	31%	10%	89	+0.4
✕Akil Baddoo 2018 · A	19	46→53	42→50	52→55	49	220/298/335	114	290	7	10	25%	9%	80	-0.1	201/274/317	116	305	8	13	34%	9%	68	-1.0	238/319/386	148	309	15	24	26%	11%	100	+0.9
●Davis Schneider 2018 · A	19	40→45	41→55	48→50	50	197/279/301	104	258	8	6	26%	10%	66	-1.1	196/270/292	96	306	8	7	35%	8%	61	-1.5	212/323/402	190	276	23	9	30%	13%	106	+1.4
✕Angel Ortiz 2022 · A	19	42→45	41→50	46→45	44	206/261/296	90	269	9	9	26%	7%	57	-1.8	207/257/302	95	281	7	7	27%	6%	57	-1.8	227/286/370	143	294	13	8	26%	7%	82	+0.0
✕Alexander Canario 2019 · A	19	39→36	41→60	47→50	46	193/265/292	98	258	9	12	28%	8%	59	-1.7	209/266/356	147	291	17	11	33%	7%	74	-0.5	210/280/412	202	285	27	13	35%	8%	90	+0.4
✕Bo Naylor 2019 · A	19	45→46	39→55	52→50	46	212/280/301	90	299	6	9	30%	9%	66	-1.1	196/254/318	122	282	11	8	33%	7%	60	-1.6	218/311/396	178	274	21	12	27%	11%	100	+1.0
✕Max Clark 2024 · A	19	44→53	42→45	51→55	48	207/292/314	106	308	9	11	33%	10%	74	-0.5	238/314/357	119	306	11	17	24%	9%	92	+0.7	245/323/369	124	304	11	19	22%	10%	96	+0.9
✕Tirso Ornelas 2019 · A	19	44→54	41→50	50→45	45	214/282/314	100	297	8	5	30%	8%	70	-0.9	195/261/274	79	285	5	5	31%	8%	53	-2.1	262/321/391	130	320	13	7	22%	7%	99	+1.1
✕Josue Briceño 2024 · A	19	43	44→60	45→40	45	212/270/332	119	265	11	5	24%	7%	70	-0.9	231/302/376	145	286	16	3	24%	8%	92	+0.7	230/310/399	168	278	22	1	25%	9%	99	+0.6
●Carter Jensen 2023 · A	20	38→48	42→55	45→50	49	189/279/298	109	272	9	7	32%	11%	66	-1.1	205/296/340	135	284	14	9	30%	11%	82	-0.0	233/312/421	188	299	22	7	28%	10%	105	+1.6
✕Victor Mesa Jr. 2021 · A	19	45→46	37→55	49→50	47	212/272/292	80	272	4	8	22%	7%	61	-1.5	214/265/314	100	290	7	9	27%	6%	63	-1.4	238/297/408	169	279	21	11	23%	7%	95	+0.5
●Esmerlyn Valdez 2023 · A	19	40→44	42→60	44→30	44	195/277/301	106	276	10	5	31%	8%	66	-1.1	199/274/334	135	301	16	4	37%	8%	73	-0.6	207/300/402	195	286	26	2	35%	10%	96	+0.8
✕Ronny Ugarte 2023 · A	18	39	41→45	47→30	46	193/268/298	105	252	7	6	26%	8%	61	-1.5	208/273/298	90	262	5	5	21%	7%	63	-1.4	229/293/323	94	294	8	2	24%	8%	73	-0.3
●Dilson Herrera 2013 · A	19	42→52	42→55	51→50	45	208/267/322	113	262	9	13	24%	7%	66	-1.1	246/298/377	131	321	12	12	26%	6%	90	+0.6	267/319/412	145	327	15	13	22%	6%	104	+1.4
✕Angel Guzman 2024 · A	18	39	39→45	51→55	51	190/275/281	91	246	6	9	24%	9%	61	-1.5	193/294/290	97	272	8	10	29%	11%	70	-0.8	182/294/282	100	260	9	9	30%	12%	65	-0.4
✕Estevan Florial 2017 · A	19	39→49	42→50	52→60	40	192/255/297	106	289	10	11	35%	7%	56	-1.9	217/275/334	117	369	10	13	40%	7%	72	-0.7	214/285/371	157	317	17	29	36%	8%	82	+0.0
✕Noelvi Marte 2021 · A	19	41→51	41→50	49→55	45	201/256/299	98	254	8	12	24%	7%	56	-1.9	233/299/372	139	304	15	16	27%	8%	90	+0.6	241/309/383	142	307	16	19	26%	8%	94	+0.7
✕Nomar Mazara 2014 · A	19	39→49	43→55	44→40	39	194/254/306	113	294	11	3	36%	7%	58	-1.7	235/295/368	133	306	15	3	27%	7%	88	+0.4	249/308/420	171	291	21	3	22%	7%	102	+1.4
●Moisés Ballesteros 2023 · A	19	41→51	46→50	45→40	50	210/283/334	125	261	14	5	25%	9%	76	-0.4	248/309/379	131	301	14	4	21%	8%	95	+0.9	266/327/397	130	316	14	3	20%	8%	104	+1.4
✕Derek Hill 2015 · A	19	41→51	40→55	55→60	47	200/270/292	91	260	7	13	25%	8%	60	-1.6	205/256/277	72	300	3	25	30%	6%	51	-2.3	240/291/409	169	325	21	27	32%	5%	95	+0.4

Jhomnardo Reyes

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps