Alberto Hernandez

SS Corpus Christi Hooks

Age 23 R/R 6'0" / 190 lbs AA HR -6% Svc 0.0 · Ctrl thru 2035

Overview

AAPROSPECTMiLBFA 2036

OGV OFP35OGV rank#2396ETA2029MLB%2%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	20	AHOU	271	.197/.289/.251	2	4	19	—	.157/.226/.190
2025	21	AHOU	344	.225/.317/.302	2	24	48	—	.206/.269/.273
2026	22	AA/A+HOU	151	.212/.275/.365	3	0	42	—	.178/.228/.313
2027PROJMLE	23	MLBHOU	3	.209/.264/.304	0	0	57	-0.0
2028PROJ31% MLB	24	MLBHOU	60	.214/.270/.320	1	1	64	-0.0
2029PROJ45% MLB	25	MLBHOU	112	.217/.275/.330	2	2	68	-0.1

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

ContractESTIMATED

Control thru2035Service0.0First FA2036

2027MiLB2028MiLB2029MiLB2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Arb-1$3M2034Ext$5M+1

Skills · percentileMiLB Statcast 2026 AA

Z-Con%94

Chase%78

K%71

Whiff%71

BB%37

ISO34

Career WAR0.0 WAR median (P10 0.0 / P90 0.3, comp-based) · star 0% · didn't stick 93%

CompsAlfredo González (age 23) · Onix Vega (age 23) · Will Piwnica-Worms (age 23)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†57

AVG/OBP/SLG.209 / .264 / .304

PA3

HR0

K%33

BB%6

BABIP267

ISO88

MLB%2%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$6M ctrl surplus

Tools · ContractCON 40 / POW 25

Toolsscout grade

CONTACT40

scouting grade only

POWER25

scouting grade only

EYE40

scouting grade only

SPEED60

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.8M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Arb-1	$3M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.8M	+$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	18	ROK	DSL HOU Blue	—	193	166	39	6	2	3	20	27	5	9	7	235	335	349	684	114	261	14	10	312	29	—	—	—	—	—	—
2023	19	ROK	FCL Astros	—	169	140	36	14	1	2	24	31	3	9	2	257	377	414	792	157	315	18	14	354	61	—	—	—	—	—	—
2024	20	A	Fayetteville Woodpeckers	—	271	239	47	7	0	2	29	61	2	4	2	197	289	251	540	54	254	23	11	256	19	—	—	—	—	—	—
2025	21	A	Fayetteville Woodpeckers	—	344	298	67	13	2	2	36	59	4	24	7	225	317	302	619	77	269	17	10	283	48	—	—	—	—	—	—
2026	22	AA	Corpus Christi Hooks	—	110	97	19	6	0	2	10	23	1	0	0	196	278	320	597	124	230	21	9	268	40	—	—	—	—	—	—
2026	22	A+	Asheville Tourists	—	41	40	10	4	1	1	1	9	0	0	1	250	268	475	743	225	300	22	2	321	48	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	18	ROK MLE	DSL HOU Blue	—	193	172	27	4	1	1	14	33	5	9	7	157	241	209	450	52	181	17	7	211	29	—	—	—	—	—	—
2023	19	ROK MLE	FCL Astros	—	169	149	29	11	1	1	15	42	3	9	2	195	281	302	583	107	256	25	9	259	61	—	—	—	—	—	—
2024	20	A MLE	Fayetteville Woodpeckers	—	271	248	39	5	0	1	20	81	2	4	2	157	226	190	415	32	226	30	7	196	19	—	—	—	—	—	—
2025	21	A MLE	Fayetteville Woodpeckers	—	344	311	64	11	2	2	23	80	4	24	7	206	269	273	543	68	256	23	7	239	48	—	—	—	—	—	—
2026	22	AA MLE	Corpus Christi Hooks	—	110	100	17	5	0	2	7	28	1	0	0	170	231	280	511	110	210	25	6	228	40	—	—	—	—	—	—
2026	22	A+ MLE	Asheville Tourists	—	41	40	8	3	1	1	1	12	0	0	1	200	220	400	620	200	250	29	2	239	48	—	—	—	—	—	—
2022	18	ROK MLE	DSL HOU Blue	—	193	172	27	4	1	1	14	33	5	9	7	157	241	209	450	52	186	17	7	211	29	—	—	—	—	—	—
2022	18	ROK RAW	DSL HOU Blue	—	193	166	39	6	2	3	20	27	5	9	7	235	335	349	684	114	261	14	10	312	29	—	—	—	—	—	—
2023	19	ROK MLE	FCL Astros	—	169	149	29	11	1	1	15	42	3	9	2	195	281	302	583	107	262	25	9	259	61	—	—	—	—	—	—
2023	19	ROK RAW	FCL Astros	—	169	140	36	14	1	2	24	31	3	9	2	257	377	414	792	157	315	18	14	354	61	—	—	—	—	—	—
2024	20	A MLE	Fayetteville Woodpeckers	—	271	248	39	5	0	1	20	81	2	4	2	157	226	190	415	32	228	30	7	196	19	—	—	—	—	—	—
2024	20	A RAW	Fayetteville Woodpeckers	—	271	239	47	7	0	2	29	61	2	4	2	197	289	251	540	54	254	23	11	256	19	—	—	—	—	—	—
2025	21	A MLE	Fayetteville Woodpeckers	—	344	311	64	11	2	2	23	80	4	24	7	206	269	273	543	68	265	23	7	239	48	—	—	—	—	—	—
2025	21	A RAW	Fayetteville Woodpeckers	—	344	298	67	13	2	2	36	59	4	24	7	225	317	302	619	77	269	17	10	283	48	—	—	—	—	—	—
2026	22	AA MLE	2 teams	—	151	140	25	8	1	2	8	40	1	0	1	179	228	293	521	114	230	26	5	231	42	—	—	—	—	—	—
2026	22	AA RAW	2 teams	—	151	137	29	10	1	3	11	32	1	0	1	212	275	365	640	153	250	21	7	283	42	—	—	—	—	—	—
2022	18	ROK MLE	DSL HOU Blue	—	193	172	27	4	1	1	14	33	5	9	7	157	241	209	450	52	181	17	7	211	29	—	—	—	—	—	—
2023	19	ROK MLE	FCL Astros	—	169	149	29	11	1	1	15	42	3	9	2	195	281	302	583	107	256	25	9	259	61	—	—	—	—	—	—
2024	20	A MLE	Fayetteville Woodpeckers	—	271	247	39	5	0	1	20	81	2	4	2	158	226	190	416	32	226	30	7	196	19	—	—	—	—	—	—
2025	21	A MLE	Fayetteville Woodpeckers	—	344	314	64	11	2	2	23	80	4	24	7	204	269	271	540	67	256	23	7	239	48	—	—	—	—	—	—
2026	22	AA MLE	2 teams	—	151	141	25	8	1	2	8	40	1	0	1	177	228	291	519	113	221	26	5	231	42	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	20	A MLE	Fayetteville Woodpeckers	—	271	247	39	5	0	1	20	81	2	4	2	158	226	190	416	32	226	30	7	196	19	—	—	—	—	—	—
2025	21	A MLE	Fayetteville Woodpeckers	—	344	314	64	11	2	2	23	80	4	24	7	204	269	271	540	67	256	23	7	239	48	—	—	—	—	—	—
2026	22	AA MLE	2 teams	—	151	141	25	8	1	2	8	40	1	0	1	177	228	291	519	113	221	26	5	231	42	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	HOU	2%	292	270	55	13	1	3	18	69	2	5	2	206	261	299	560	93	263	24	6	253	57	-15	+0	+0	+3	+6	-0.1
▸ 2027 — real world (MLB)
2027	23	MLB CTX	HOU	2%	3	3	0	0	0	0	0	1	0	0	0	209	264	304	568	95	267	33	0	257	57	-0	+0	+0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	HOU	31%	192	177	37	8	1	3	12	45	1	3	1	211	267	315	583	104	265	23	6	262	64	-8	+0	+0	+2	+4	-0.2
2029	25	MLB MLE	HOU	45%	252	232	49	11	1	4	16	59	2	4	2	214	272	326	597	111	267	23	6	268	68	-10	+0	+0	+3	+5	-0.2
2030	26	MLB MLE	HOU	51%	300	275	60	13	2	5	20	70	2	5	2	216	275	332	606	116	268	23	7	272	70	-11	+0	+0	+3	+6	-0.1
2031	27	MLB MLE	HOU	53%	320	292	64	14	2	6	22	75	3	5	2	217	276	333	609	117	268	23	7	273	71	-11	+0	+0	+3	+7	-0.0
2032	28	MLB MLE	HOU	53%	329	301	66	14	2	6	22	77	3	4	2	216	276	333	609	116	269	23	7	273	71	-11	+0	-1	+4	+7	-0.1
2033	29	MLB MLE	HOU	57%	324	297	64	14	1	6	22	77	2	3	1	214	274	327	601	113	268	24	7	270	69	-12	+0	-1	+3	+7	-0.3
2028	24	MLB CTX	HOU	31%	60	56	12	3	0	1	4	14	0	1	0	214	270	320	591	106	270	23	7	266	64	-3	+0	+0	+1	+1	-0.0
2029	25	MLB CTX	HOU	45%	112	103	23	5	1	2	7	26	1	2	1	217	275	330	605	113	271	23	6	272	68	-4	+0	+0	+1	+2	-0.1
2030	26	MLB CTX	HOU	51%	153	141	31	7	1	3	10	36	1	2	1	219	278	336	614	117	272	24	7	275	70	-5	+0	+0	+2	+3	-0.0
2031	27	MLB CTX	HOU	53%	168	154	34	8	1	3	11	39	1	2	1	220	279	337	616	118	273	23	7	276	71	-6	+0	+0	+2	+4	-0.0
2032	28	MLB CTX	HOU	53%	176	161	35	8	1	3	12	41	1	2	1	219	279	337	616	117	273	23	7	276	71	-6	+0	-0	+2	+4	-0.1
2033	29	MLB CTX	HOU	57%	185	169	37	8	1	3	13	44	1	1	1	217	277	331	608	114	272	24	7	273	69	-7	-0	-1	+2	+4	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	854	784	172	39	5	15	57	200	5	10	5	219	277	339	616	120	274	23	7	274	57	-31	+0	-1	+9	+19	-0.5
/ 162G	—	A+C		—	650	597	131	30	4	11	43	152	4	8	4	219	276	338	615	119	274	23	7	274	57	-24	+0	-1	+7	+14	-0.3
Career	—	MLE		—	2980	2719	550	119	15	38	202	711	29	72	30	202	265	299	564	97	257	24	7	253	57	-70	+1	-2	+20	+40	-1.1
/ 162G	—	MLE		—	650	593	119	26	3	8	44	155	6	16	7	201	263	295	558	94	255	24	7	253	57	-24	+0	-1	+7	+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 AACorpus Christi Hooks · 110 PAwOBA .266 → .228 (−38)K% 20.9% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.91%	÷1.000	×1.220	—	—	25.51%
BB% (unintentional) /PA	9.09%	÷1.000	×0.700	—	×1.042	6.63%
HBP% /PA	0.91%	—	×0.870	—	×1.042	0.82%
Singles /BIP	14.86%	÷1.000	×0.920	×0.990	×1.042	14.11%
Doubles /BIP	8.11%	÷1.000	×0.840	×0.990	×1.042	7.03%
Triples /BIP	0.00%	÷1.000	×0.940	×0.990	×1.042	0.00%
Home runs /BIP	2.70%	÷1.000	×0.800	—	×1.042	2.25%

Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .266 → .228; ISO .124 → .105; BABIP .230 → .210. 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 A+Asheville Tourists · 41 PAwOBA .311 → .239 (−72)K% 22.0% → 28.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.95%	÷1.000	×1.310	—	—	28.76%
BB% (unintentional) /PA	2.44%	÷1.000	×0.600	—	×1.012	1.48%
HBP% /PA	0.00%	—	×0.770	—	×1.012	0.00%
Singles /BIP	12.90%	÷1.000	×0.870	—	×1.012	11.36%
Doubles /BIP	12.90%	÷1.000	×0.780	—	×1.012	10.19%
Triples /BIP	3.23%	÷1.000	×0.850	—	×1.012	2.77%
Home runs /BIP	3.23%	÷1.000	×0.880	—	×1.012	2.87%

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 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average).

Result: wOBA .311 → .239; ISO .225 → .174; BABIP .300 → .250. 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 AFayetteville Woodpeckers · 344 PAwOBA .280 → .239 (−41)K% 17.2% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.15%	÷0.996	×1.360	—	—	23.42%
BB% (unintentional) /PA	10.47%	÷1.072	×0.690	—	×1.015	6.84%
HBP% /PA	1.16%	—	×0.780	—	×1.015	0.92%
Singles /BIP	20.92%	÷0.979	×0.920	×1.030	×1.015	20.55%
Doubles /BIP	5.44%	÷1.035	×0.830	×1.030	×1.015	4.56%
Triples /BIP	0.84%	÷0.953	×0.910	×1.030	×1.015	0.84%
Home runs /BIP	0.84%	÷1.005	×0.800	—	×1.015	0.68%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 101, 1B 96, 2B 107, 3B 91, K 99, BB 114 — 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 ×1.030.

Result: wOBA .280 → .239; ISO .077 → .066; BABIP .269 → .256. 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 AFayetteville Woodpeckers · 271 PAwOBA .249 → .196 (−53)K% 22.5% → 30.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.51%	÷1.020	×1.360	—	—	30.01%
BB% (unintentional) /PA	10.33%	÷1.024	×0.690	—	×1.030	7.17%
HBP% /PA	0.74%	—	×0.780	—	×1.030	0.59%
Singles /BIP	21.35%	÷1.038	×0.920	×1.006	×1.030	19.60%
Doubles /BIP	3.93%	÷1.132	×0.830	×1.006	×1.030	2.99%
Triples /BIP	0.00%	÷0.900	×0.910	×1.006	×1.030	0.00%
Home runs /BIP	1.12%	÷1.118	×0.800	—	×1.030	0.83%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 124, 1B 108, 2B 126, 3B 80, K 104, BB 105 — 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 ×1.006.

Result: wOBA .249 → .196; ISO .054 → .039; BABIP .254 → .226. 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 Astros · 169 PAwOBA .348 → .259 (−89)K% 18.3% → 25.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.34%	÷1.058	×1.440	—	—	24.97%
BB% (unintentional) /PA	14.20%	÷1.007	×0.620	—	×1.008	8.81%
HBP% /PA	1.78%	—	×0.720	—	×1.008	1.29%
Singles /BIP	17.43%	÷1.014	×0.820	×1.028	×1.008	14.61%
Doubles /BIP	12.84%	÷0.939	×0.720	×1.028	×1.008	10.20%
Triples /BIP	0.92%	÷0.900	×0.720	×1.028	×1.008	0.76%
Home runs /BIP	1.83%	÷1.379	×0.780	—	×1.008	1.05%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 176, 1B 103, 2B 88, 3B 80, K 112, BB 101 — 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 ×1.028.

Result: wOBA .348 → .259; ISO .157 → .116; BABIP .315 → .256. 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 HOU Blue · 193 PAwOBA .307 → .211 (−97)K% 14.0% → 17.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.99%	÷1.001	×1.220	—	—	17.05%
BB% (unintentional) /PA	10.36%	÷1.027	×0.700	—	×1.008	7.12%
HBP% /PA	2.59%	—	×0.700	—	×1.008	1.83%
Singles /BIP	20.14%	÷0.980	×0.680	×1.033	×1.008	14.55%
Doubles /BIP	4.32%	÷1.015	×0.600	×1.033	×1.008	2.66%
Triples /BIP	1.44%	÷0.900	×0.600	×1.033	×1.008	1.00%
Home runs /BIP	2.16%	÷0.989	×0.470	—	×1.008	1.03%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 98, 1B 96, 2B 103, 3B 80, K 100, BB 105 — 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 .307 → .211; ISO .114 → .067; BABIP .261 → .181. 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
#1Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#2Tim Bogar'93-'01 * career totals — 8 seasons, 1,710 PA	2.6	1,710	24	13	217*	284*	324*	+11	+37	2.1	2.9
/162	664	9	5	+4.2	+14.4	0.8	pk7: 4
#3Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#4Pete Mackanin'73-'81 * career totals — 6 seasons, 1,686 PA	2.5	1,686	30	27	222*	261*	370*	+6	+23	0.6	1.6
/162	664	12	11	+2.4	+8.9	0.2	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	1.3	856	15	11	216	272	330	+9	+9	0.2	0.2
/162	664	11	8	+7.1	+7.0	0.1	pk7: 0
#5David Howard'91-'99 * career totals — 8 seasons, 1,795 PA	2.7	1,795	11	23	220*	280*	301*	+10	+23	-1.6	-0.8
/162	664	4	9	+3.7	+8.5	-0.6	pk7: -0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	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
Alberto Hernandez (OGILVIE)	23	40	25	60	40	204/259/297	92	263	1	2	24%	6%	57	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alfredo González 2015 · A	23	42	38→40	52→45	43	203/263/284	81	270	6	9	26%	6%	55	-1.9	233/294/296	63	311	4	6	24%	7%	70	-0.9	228/290/283	56	297	4	5	23%	7%	63	-0.7
✕Onix Vega 2022 · A	23	44	38→30	51→45	45	210/281/291	81	271	6	7	24%	7%	65	-1.2	209/282/282	73	275	5	6	24%	8%	63	-1.4	198/277/253	56	260	4	5	23%	8%	53	-0.8
✕Will Piwnica-Worms 2013 · A	23	40	36→40	52→50	47	191/257/261	70	242	3	7	22%	7%	49	-2.4	205/279/287	82	275	6	8	26%	8%	63	-1.4	201/280/279	79	269	6	8	26%	8%	60	-0.8
✕Luis De La Cruz 2012 · A	23	47	39→30	50→30	43	225/264/322	97	276	5	7	20%	5%	64	-1.3	234/265/304	70	285	4	6	18%	4%	59	-1.6	272/285/327	55	319	3	2	15%	1%	70	-0.4
✕Claudio Finol 2023 · AA	23	38	37→30	50→45	40	185/239/261	76	255	4	8	28%	6%	42	-2.9	210/271/302	92	296	8	10	30%	7%	63	-1.4	202/270/282	80	285	9	12	31%	7%	57	-0.4
✕Ryan Leonards 2015 · A	24	46	39→40	56→50	43	220/275/306	87	278	6	12	23%	6%	65	-1.2	217/278/294	77	278	5	9	22%	6%	63	-1.3	212/277/276	64	270	3	8	21%	7%	56	-0.8
✕J.C. Millan 2019 · AA	23	43	40	48→30	43	210/260/303	93	264	8	8	23%	6%	59	-1.7	226/272/327	101	277	9	6	21%	6%	69	-0.9	231/271/321	91	275	9	2	19%	5%	63	-0.7
✕Efrain Contreras 2010 · A	23	44	39→40	52→55	43	210/273/295	85	272	6	11	24%	6%	63	-1.4	195/245/271	76	291	6	7	33%	5%	46	-2.6	162/206/221	59	241	6	5	34%	4%	17	-2.2
✕Corey Joyce 2022 · AA	23	40	39→40	54→50	39	192/262/271	79	300	7	14	36%	7%	53	-2.1	208/308/324	116	294	11	13	30%	10%	84	+0.1	214/316/317	103	300	9	14	28%	10%	82	+0.0
✕Erlin Cerda 2017 · A	23	42	35→40	51→55	43	197/259/263	67	264	2	11	25%	6%	50	-2.3	194/237/265	71	300	3	8	34%	4%	41	-3.0	162/195/205	44	254	0	8	35%	3%	7	-1.3
✕Bryce Arnold 2024 · AA	23	42	40→45	53→50	49	201/284/296	95	272	7	11	27%	9%	68	-1.0	186/276/289	103	283	10	10	35%	9%	64	-1.3	162/262/261	99	250	11	9	36%	9%	52	-1.2
✕Glenn Santiago 2024 · A	23	44	40	50→45	43	209/272/301	92	295	8	8	30%	7%	63	-1.3	199/260/287	88	290	8	9	32%	7%	55	-1.9	146/208/202	56	213	6	8	33%	6%	15	-1.6
✕Hector Estrella 2008 · A	23	46→45	39→40	50→45	44	219/272/306	87	272	6	6	22%	6%	64	-1.3	229/286/316	87	285	6	8	21%	7%	71	-0.8	231/291/315	84	284	6	8	20%	7%	71	-0.5
✕Alfredo Rodriguez 2017 · A	23	40→50	36→30	55→45	44	191/256/256	65	252	3	14	24%	6%	47	-2.5	215/255/269	54	276	3	10	22%	4%	48	-2.5	230/269/285	55	290	2	9	21%	4%	55	-1.3
✕Ethan Murray 2023 · AA	23	38→48	41→40	51→50	43	187/258/284	97	272	8	13	32%	8%	55	-2.0	202/275/294	92	293	7	12	31%	8%	63	-1.4	199/276/286	87	286	6	13	30%	8%	59	-1.0
✕Kevin Ramos 2009 · A	23	47	39→40	53→45	41	224/259/323	99	282	4	12	22%	4%	62	-1.4	212/257/290	78	282	3	8	24%	5%	54	-2.0	203/249/269	66	271	2	8	24%	5%	43	-1.2
✕Ross Wilson 2012 · AA	23	46→47	37→40	49→45	45	218/280/297	79	280	3	7	22%	6%	65	-1.2	202/271/288	86	269	6	6	26%	7%	60	-1.6	188/259/274	86	250	7	5	26%	6%	52	-1.4
✕Roberto Alvarez 2022 · A	23	48→43	37→30	49→40	44	227/289/298	71	300	5	5	25%	6%	69	-0.9	229/281/301	72	302	4	5	24%	5%	65	-1.2	235/283/296	61	298	0	2	20%	5%	63	-0.6
✕Matthew Batten 2018 · A	23	43→53	38→40	51→55	41	206/258/292	86	290	5	6	30%	6%	55	-1.9	225/281/308	83	326	6	12	30%	7%	68	-1.0	221/295/311	89	305	9	27	28%	9%	71	-0.6
✕Richie Martin Jr. 2018 · AA	23	44→54	38→45	51→60	43	209/271/292	84	272	5	13	24%	6%	61	-1.5	229/282/335	106	295	8	18	24%	6%	74	-0.5	231/285/334	103	299	7	20	24%	6%	74	-0.3

Alberto Hernandez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps