Diomedes Hernandez

C Hudson Valley Renegades

Age 22 R/R 5'10" / 211 lbs A+ HR +14% Svc 0.0 · Ctrl thru 2036

Overview

A+PROSPECTMiLBFA 2037

OGV OFP35OGV rank#1816ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	A/ROKNYY	91	.272/.344/.333	1	1	51	—	.216/.267/.277
2025	20	AANYY	34	.156/.156/.219	0	0	-25	—	.156/.156/.219
2026	21	A+NYY	22	.211/.318/.316	0	0	35	—	.200/.273/.300
2027PROJMLE	22	MLBNYY	132	.210/.267/.304	2	2	61	0.0
2028PROJ35% MLB	23	MLBNYY	56	.214/.273/.318	1	1	65	0.0
2029PROJ46% MLB	24	MLBNYY	111	.217/.277/.328	2	1	69	0.0

Next 3 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$0.4M+2

Skills · percentileMiLB Statcast 2024 A

K%87

BB%62

Z-Con%50

Max EV44

Chase%39

Whiff%34

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

CompsJiandido Tromp (age 22) · J.C. Millan (age 22) · Steven Baron (age 23)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 56 proj PA

wRC+†61

AVG/OBP/SLG.208 / .265 / .301

PA56

HR1

K%29

BB%6

ISO94

MLB%0%

Value2027 · WAR

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

Tools · Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.2	$0.6M	+$0.0M
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2034	Arb-1	$0.4M	—	—	—
2035	Arb-2	$0.4M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$1M	+$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)
2022	17	ROK	DSL NYY Yankees	—	82	70	16	5	1	0	10	15	2	4	0	229	341	329	670	100	291	18	12	311	19	—	—	—	—	—	—
2024	19	A	Tampa Tarpons	—	47	40	12	2	0	1	6	7	0	0	1	300	391	425	816	125	333	15	13	361	92	—	—	—	—	—	—
2024	19	ROK	FCL Yankees	—	44	41	10	0	0	0	2	9	1	1	0	244	295	244	539		312	20	5	254	8	—	—	—	—	—	—
2025	20	AA	Somerset Patriots	—	34	32	5	2	0	0	0	16	0	0	0	156	156	219	375	62	312	47	0	155	-25	—	—	—	—	—	—
2026	21	A+	Hudson Valley Renegades	—	22	19	4	2	0	0	2	5	1	0	0	211	318	316	634	105	286	23	9	296	35	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL NYY Yankees	—	82	73	11	3	1	0	7	19	2	4	0	151	244	219	463	68	180	23	9	196	19	—	—	—	—	—	—
2024	19	A MLE	Tampa Tarpons	—	47	42	11	2	0	1	4	10	0	0	1	262	326	381	707	119	303	21	9	304	92	—	—	—	—	—	—
2024	19	ROK MLE	FCL Yankees	—	44	42	7	0	0	0	1	13	1	1	0	167	205	167	371		258	30	2	180	8	—	—	—	—	—	—
2025	20	AA MLE	Somerset Patriots	—	34	32	5	2	0	0	0	20	0	0	0	156	156	219	375	62	315	59	0	131	-25	—	—	—	—	—	—
2026	21	A+ MLE	Hudson Valley Renegades	—	22	20	4	2	0	0	1	7	1	0	0	200	273	300	573	100	242	32	5	220	35	—	—	—	—	—	—
2022	17	ROK MLE	DSL NYY Yankees	—	82	73	11	3	1	0	7	19	2	4	0	151	244	219	463	68	204	23	9	196	19	—	—	—	—	—	—
2022	17	ROK RAW	DSL NYY Yankees	—	82	70	16	5	1	0	10	15	2	4	0	229	341	329	670	100	291	18	12	311	19	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	91	84	19	2	0	1	5	23	1	1	1	226	278	286	563	60	295	25	5	244	51	—	—	—	—	—	—
2024	19	A RAW	2 teams	—	91	81	22	2	0	1	8	16	1	1	1	272	344	333	678	62	323	18	9	309	51	—	—	—	—	—	—
2025	20	AA MLE	Somerset Patriots	—	34	32	5	2	0	0	0	20	0	0	0	156	156	219	375	62	417	59	0	131	-25	—	—	—	—	—	—
2025	20	AA RAW	Somerset Patriots	—	34	32	5	2	0	0	0	16	0	0	0	156	156	219	375	62	312	47	0	155	-25	—	—	—	—	—	—
2026	21	A+ MLE	Hudson Valley Renegades	—	22	20	4	2	0	0	1	7	1	0	0	200	273	300	573	100	308	32	5	220	35	—	—	—	—	—	—
2026	21	A+ RAW	Hudson Valley Renegades	—	22	19	4	2	0	0	2	5	1	0	0	211	318	316	634	105	286	23	9	296	35	—	—	—	—	—	—
2022	17	ROK MLE	DSL NYY Yankees	—	82	73	11	3	1	0	7	19	2	4	0	151	244	219	463	68	180	23	9	196	19	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	91	85	19	2	0	1	5	23	1	1	1	224	278	282	560	59	281	25	5	244	51	—	—	—	—	—	—
2025	20	AA MLE	Somerset Patriots	—	34	34	5	2	0	0	0	20	0	0	0	147	156	206	362	59	315	59	0	131	-25	—	—	—	—	—	—
2026	21	A+ MLE	Hudson Valley Renegades	—	22	20	4	2	0	0	1	7	1	0	0	200	273	300	573	100	242	32	5	220	35	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	A MLE	2 teams	—	91	85	19	2	0	1	5	23	1	1	1	224	278	282	560	59	281	25	5	244	51	—	—	—	—	—	—
2025	20	AA MLE	Somerset Patriots	—	34	34	5	2	0	0	0	20	0	0	0	147	156	206	362	59	315	59	0	131	-25	—	—	—	—	—	—
2026	21	A+ MLE	Hudson Valley Renegades	—	22	20	4	2	0	0	1	7	1	0	0	200	273	300	573	100	242	32	5	220	35	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	NYY	0%	132	122	26	5	1	2	8	39	1	2	1	210	267	304	571	94	289	30	6	258	61	-6	+0	+0	+2	+3	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	NYY	35%	161	148	32	6	1	3	10	47	2	2	1	213	272	314	586	101	290	29	6	265	65	-7	+0	+0	+3	+3	-0.0
2029	24	MLB MLE	NYY	46%	241	221	48	9	1	4	16	69	2	3	1	216	276	323	599	107	291	29	7	270	69	-9	+0	+0	+4	+5	0.1
2030	25	MLB MLE	NYY	52%	297	272	61	11	2	6	20	84	3	4	1	218	279	330	609	112	291	28	7	274	72	-10	+0	+0	+5	+6	0.2
2031	26	MLB MLE	NYY	54%	337	308	68	12	2	7	23	94	3	4	1	220	281	336	617	116	291	28	7	277	74	-11	+0	+0	+6	+7	0.3
2032	27	MLB MLE	NYY	54%	351	321	71	13	2	7	24	97	3	4	1	220	282	337	619	116	291	28	7	278	74	-11	+0	+0	+6	+8	0.4
2033	28	MLB MLE	NYY	54%	355	325	71	13	2	7	24	99	3	3	1	218	280	332	612	114	289	28	7	275	72	-12	+0	-1	+6	+8	0.2
2034	29	MLB MLE	NYY	53%	348	318	69	13	2	6	24	98	3	2	1	216	277	326	603	110	288	28	7	272	70	-12	+0	-1	+6	+8	-0.0
2035	30	MLB MLE	NYY	57%	338	309	66	12	1	6	23	97	3	1	1	213	273	318	591	105	286	29	7	267	67	-13	-0	-2	+6	+7	-0.2
2028	23	MLB CTX	NYY	35%	56	51	11	2	0	1	4	16	1	1	0	214	273	318	591	104	290	29	7	266	65	-2	+0	+0	+1	+1	0.0
2029	24	MLB CTX	NYY	46%	111	102	23	4	1	2	7	32	1	1	0	217	277	328	604	110	291	29	6	272	69	-4	+0	+0	+2	+2	0.0
2030	25	MLB CTX	NYY	52%	154	141	32	6	1	3	10	43	2	2	1	219	280	335	615	116	291	28	6	276	72	-5	+0	+0	+3	+3	0.1
2031	26	MLB CTX	NYY	54%	183	167	38	7	1	4	12	51	2	2	1	221	282	341	623	120	291	28	7	279	74	-6	+0	+0	+3	+4	0.2
2032	27	MLB CTX	NYY	54%	190	173	39	7	1	4	13	53	2	2	1	221	283	342	625	120	290	28	7	280	74	-6	+0	+0	+3	+4	0.2
2033	28	MLB CTX	NYY	54%	193	176	39	7	1	4	13	54	2	2	1	219	281	337	618	117	289	28	7	278	72	-6	+0	-0	+3	+4	0.1
2034	29	MLB CTX	NYY	53%	185	168	38	7	1	4	13	52	2	1	1	217	278	330	608	113	288	28	7	274	70	-7	-0	-1	+3	+4	-0.0
2035	30	MLB CTX	NYY	57%	192	175	38	7	1	4	13	55	2	0	0	214	274	322	596	109	286	29	7	269	67	-8	+0	-1	+3	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1264	1153	258	47	7	26	85	356	14	11	5	224	285	344	629	121	298	28	7	275	67	-44	+0	-2	+23	+27	0.4
/ 162G	—	A+C		—	650	593	133	24	4	13	44	183	7	6	3	224	286	344	630	120	299	28	7	275	67	-22	+0	-1	+12	+14	0.2
Career	—	MLE		—	2713	2482	536	100	14	48	181	770	27	29	9	216	277	326	602	110	291	28	7	267	67	-87	+2	-4	+44	+54	0.9
/ 162G	—	MLE		—	650	595	129	24	3	12	43	184	6	7	2	217	276	328	604	111	291	28	7	267	67	-23	+0	-1	+12	+14	0.2

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 A+Hudson Valley Renegades · 22 PAwOBA .289 → .220 (−69)K% 22.7% → 29.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.73%	÷1.000	×1.310	—	—	29.77%
BB% (unintentional) /PA	9.09%	÷1.000	×0.600	—	×1.027	5.60%
HBP% /PA	4.55%	—	×0.770	—	×1.027	3.59%
Singles /BIP	14.29%	÷1.000	×0.870	—	×1.027	12.76%
Doubles /BIP	14.29%	÷1.000	×0.780	—	×1.027	11.44%
Triples /BIP	0.00%	÷1.000	×0.850	—	×1.027	0.00%
Home runs /BIP	0.00%	÷1.000	×0.880	—	×1.027	0.00%

Factors used: league row South Atlantic League. 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 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average).

Result: wOBA .289 → .220; ISO .105 → .081; BABIP .286 → .242. 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 AASomerset Patriots · 34 PAwOBA .151 → .131 (−20)K% 47.1% → 59.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	47.06%	÷0.970	×1.220	—	—	59.16%
BB% (unintentional) /PA	0.00%	÷0.977	×0.700	—	×1.050	0.00%
HBP% /PA	0.00%	—	×0.850	—	×1.050	0.00%
Singles /BIP	18.75%	÷0.969	×0.970	—	×1.050	19.70%
Doubles /BIP	12.50%	÷0.953	×0.860	—	×1.050	11.84%
Triples /BIP	0.00%	÷1.056	×0.950	—	×1.050	0.00%
Home runs /BIP	0.00%	÷1.030	×0.780	—	×1.050	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 106, 1B 94, 2B 91, 3B 111, K 94, BB 95 — applied at half strength. Age: age 20 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average).

Result: wOBA .151 → .131; ISO .062 → .051; BABIP .312 → .315. 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 ATampa Tarpons · 47 PAwOBA .360 → .304 (−56)K% 14.9% → 21.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.89%	÷0.959	×1.360	—	—	21.12%
BB% (unintentional) /PA	12.77%	÷1.061	×0.690	—	×1.045	8.67%
HBP% /PA	0.00%	—	×0.780	—	×1.045	0.00%
Singles /BIP	27.27%	÷1.035	×0.920	—	×1.045	25.33%
Doubles /BIP	6.06%	÷1.028	×0.830	—	×1.045	5.11%
Triples /BIP	0.00%	÷0.971	×0.910	—	×1.045	0.00%
Home runs /BIP	3.03%	÷0.979	×0.800	—	×1.045	2.59%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 96, 1B 107, 2B 106, 3B 94, K 92, BB 112 — 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).

Result: wOBA .360 → .304; ISO .125 → .106; BABIP .333 → .303. 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 Yankees · 44 PAwOBA .248 → .180 (−68)K% 20.5% → 30.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.45%	÷0.972	×1.440	—	—	30.29%
BB% (unintentional) /PA	4.55%	÷0.988	×0.620	—	×1.008	2.87%
HBP% /PA	2.27%	—	×0.720	—	×1.008	1.65%
Singles /BIP	31.25%	÷1.002	×0.820	—	×1.008	25.77%
Doubles /BIP	0.00%	÷1.087	×0.720	—	×1.008	0.00%
Triples /BIP	0.00%	÷0.970	×0.720	—	×1.008	0.00%
Home runs /BIP	0.00%	÷1.142	×0.780	—	×1.008	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 128, 1B 100, 2B 117, 3B 94, K 94, 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).

Result: wOBA .248 → .180; ISO .000 → .000; BABIP .312 → .258. 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 NYY Yankees · 82 PAwOBA .304 → .196 (−108)K% 18.3% → 22.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.29%	÷0.982	×1.220	—	—	22.74%
BB% (unintentional) /PA	12.20%	÷0.984	×0.700	—	×1.022	8.87%
HBP% /PA	2.44%	—	×0.700	—	×1.022	1.75%
Singles /BIP	18.18%	÷0.994	×0.680	×0.951	×1.022	12.09%
Doubles /BIP	9.09%	÷1.101	×0.600	×0.951	×1.022	4.82%
Triples /BIP	1.82%	÷0.986	×0.600	×0.951	×1.022	1.08%
Home runs /BIP	0.00%	÷1.195	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 139, 1B 99, 2B 120, 3B 97, K 96, BB 97 — 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 ×0.951.

Result: wOBA .304 → .196; ISO .100 → .054; BABIP .291 → .180. 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
#1Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#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
#3Fred Kendall'69-'80 * career totals — 8 seasons, 2,823 PA	4.3	2,823	31	5	231*	283*	340*	+48	+1	5.0	5.9
/162	664	7	1	+11.2	+0.1	1.2	pk7: 7
#4Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	pk7: 4
#5Mike Difelice'96-'08 * career totals — 7 seasons, 1,714 PA	2.6	1,714	28	3	226*	277*	345*	+30	+0	0.6	1.5
/162	664	11	1	+11.7	+0.0	0.2	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.9	1,264	23	12	218	276	330	+23	+16	1.4	1.4
/162	664	12	6	+11.9	+8.4	0.7	pk7: 1
#6Chad 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

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
Diomedes Hernandez (OGILVIE)	22	—	—	—	—	208/265/301	93	289	1	1	29%	6%	61	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jiandido Tromp 2016 · A	22	36→46	42→50	49→45	33	183/223/290	107	272	10	8	36%	4%	42	-2.9	214/256/355	141	285	14	9	29%	5%	70	-0.9	217/262/357	140	284	14	8	28%	5%	69	-0.7
✕J.C. Millan 2018 · A	22	40	37→40	45→30	36	195/236/271	76	279	4	8	31%	4%	42	-2.9	220/267/316	96	272	9	6	22%	6%	64	-1.3	226/273/320	94	265	9	4	18%	6%	64	-0.5
✕Steven Baron 2014 · A	23	35	40→45	53→50	34	180/213/275	96	257	7	9	33%	4%	34	-3.5	216/263/300	84	296	5	9	27%	6%	59	-1.7	236/292/311	74	314	4	8	24%	7%	69	-0.4
✕Randy César 2017 · A	22	38→48	40	45→40	35	188/229/270	82	284	8	3	36%	5%	39	-3.1	230/272/320	90	342	8	4	33%	5%	67	-1.1	237/283/328	91	347	8	2	32%	6%	69	-0.6
✕Javier Castillo 2006 · A	22	39→49	38→45	47→45	37	189/237/265	76	271	5	6	31%	5%	41	-3.0	225/269/332	107	296	8	7	26%	5%	68	-1.0	241/285/359	118	310	9	6	24%	5%	78	-0.2
✕Pedruin Bautista 2006 · A	22	39	38→40	50→60	33	191/224/270	79	281	4	10	33%	4%	36	-3.3	181/266/248	67	242	2	17	24%	9%	50	-2.3	158/266/216	57	204	1	25	20%	11%	42	-1.2
✕Narciso Crook 2017 · A	22	38→43	42→50	51→50	32	193/230/298	105	288	10	11	36%	4%	46	-2.6	210/261/330	120	310	11	10	34%	5%	65	-1.2	211/273/363	152	309	16	14	35%	6%	75	-0.3
✕Fabian Pertuz 2024 · AA	23	35→36	40	51→55	36	179/227/266	87	258	7	13	33%	5%	38	-3.2	186/239/281	95	297	9	11	38%	6%	46	-2.6	156/208/244	89	265	10	7	43%	5%	24	-2.2
✕Carlos De La Cruz 2022 · A	22	36→45	40→50	47→45	32	167/229/255	88	319	9	7	48%	6%	37	-3.3	213/269/350	137	326	16	6	38%	6%	74	-0.6	214/270/349	135	321	16	5	37%	5%	71	-0.6
✕Nick Quintana 2021 · A	23	39→40	39→45	49→45	36	186/240/271	86	298	6	9	38%	6%	44	-2.8	181/264/286	105	253	11	5	31%	9%	58	-1.7	163/255/263	100	223	10	3	30%	9%	47	-1.3
✕Felix Reyes 2023 · A	22	36→46	42→50	46→45	35	185/229/286	101	263	10	8	34%	4%	43	-2.8	221/256/343	122	261	14	7	21%	4%	66	-1.1	241/269/392	150	282	18	8	21%	3%	81	-0.0
✕Nick Lorusso 2024 · A	23	39→44	38→50	49→50	38	185/243/272	87	294	5	9	37%	6%	46	-2.6	202/265/325	123	271	12	10	29%	7%	66	-1.1	197/261/329	132	257	14	11	29%	7%	64	-0.9
✕Jalen Miller 2018 · A	21	39→44	39→45	47→50	38	192/234/281	89	260	6	7	28%	5%	44	-2.8	207/251/318	111	274	11	12	28%	5%	59	-1.7	184/243/300	116	238	12	18	28%	7%	49	-1.5
✕DJ Gladney 2023 · AA	22	35→44	43→50	51→50	31	168/227/273	106	318	12	6	48%	6%	40	-3.0	194/239/339	145	301	18	9	40%	5%	60	-1.6	209/250/359	149	319	19	13	39%	4%	66	-0.8
✕Imbewer Alvarez 2007 · A	21	39	38→40	45→55	39	187/243/268	81	270	4	8	31%	6%	45	-2.7	194/262/265	71	270	4	15	28%	7%	51	-2.2	186/265/247	62	244	4	22	24%	8%	47	-0.7
✕Brandon Barnes 2008 · A	22	38→48	38→55	46→50	37	184/235/263	80	274	5	7	34%	5%	40	-3.0	200/239/315	115	297	11	6	35%	4%	54	-2.0	242/288/365	123	327	11	16	28%	5%	83	+0.1
✕Martin Cervenka 2016 · A	23	38→47	37→45	47→40	39	184/228/254	70	254	4	4	29%	5%	35	-3.4	214/259/310	96	291	9	3	28%	6%	59	-1.6	214/259/323	109	288	12	2	29%	5%	62	-0.8
✕Walking Cabrera 2023 · A	22	39→37	41→45	48→45	40	192/249/294	102	277	8	8	32%	7%	53	-2.1	208/259/320	112	312	12	9	35%	6%	63	-1.4	200/248/316	117	298	15	10	37%	5%	57	-0.9
✕Jesse Hodges 2016 · A	22	37→44	40	43→40	37	185/240/272	87	276	7	4	35%	6%	45	-2.7	202/252/293	91	297	7	4	33%	6%	53	-2.1	190/241/292	102	273	9	2	33%	5%	47	-1.4
✕Luis De Los Santos 2019 · A	21	40→50	40→45	53→45	35	195/239/284	89	270	7	8	30%	4%	47	-2.6	201/245/304	103	287	9	7	32%	4%	53	-2.1	222/288/333	111	299	11	7	28%	7%	74	-0.3

Diomedes Hernandez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps