Julien Hernandez

P Visalia Rawhide

Age 25 RHP A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	24	AARI	17	23	8.74	3.85	31.2%	14.3%	—	K 23.1% · BB 16.9% · FIP 5.19
2027PROJ	25	MLBARI	13	14	5.02	5.02	23.3%	14.6%	-0.1
2028PROJ43% MLB	26	MLBARI	9	9	4.94	4.93	23.5%	14.0%	-0.0

Next 2 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 100%

CompsMaikel Cleto (age 25) · Brad Boxberger (age 25) · Francisco Del Rosario (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 129120vR 112

ERA5.02

FIP5.02

K%23.3%

BB%14.6%

K-BB%8.7%

Proj IP14

Value2027 · WAR

Runs saved vs league avg · 14 IP

Grades · Contract

Scouting Grades

K†5555

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

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 WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to industry-standard fWAR.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far)
2026	24	A MLE	Visalia Rawhide	17	0	23	112	35	16	3	0%	1.3	23.1%	16.9%	6.3%	3.5%	8.74	5.19	—
2026	24	A MLE	Visalia Rawhide	17	0	23	112	35	16	3	0%	1.3	23.1%	16.9%	6.3%	3.5%	8.74	5.19	—
2026	24	A RAW	Visalia Rawhide	17	0	23	112	35	16	3	0%	1.3	31.2%	14.3%	17.0%	2.7%	8.74	3.85	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	ARI	13	0	14	59	14	9	2	0%	1.1	23.3%	14.6%	8.7%	3.0%	5.02	5.02	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	ARI	19	0	20	86	20	12	3	0%	1.1	23.5%	14.0%	9.5%	3.0%	4.94	4.93	-0.1
2028	26	MLB CTX	ARI	9	0	9	38	9	5	1	0%	1.0	23.5%	14.0%	9.5%	3.0%	4.94	4.93	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		8	0	9	37	9	5	1	0%	1.1	23.5%	14.0%	9.5%	3.0%	4.94	4.55	-0.0
/ 200 IP	—	RAW		190	0	200	844	206	115	23	0%	1.1	23.5%	14.0%	9.5%	3.0%	4.94	4.55	-0.0
Career	—	MLE		17	0	23	112	26	19	4	0%	1.3	23.1%	16.9%	6.3%	3.5%	8.74	5.19	-0.1
/ 200 IP	—	MLE		150	0	200	988	229	167	34	0%	1.3	23.1%	16.9%	6.3%	3.5%	8.74	5.19	-0.9

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Julien Hernandez (OGILVIE)	—	—	5.02	23.3%	14.6%	3.0%	—	4.93	23.5%	9.5%	20	-0.09	—	—	—
Maikel Cleto R 2014 · 4.24 FIP	25	SU	4.24	23.2%	15.2%	2.1%	.256	3.45	25.4%	14.5%	106	-0.79	2.59	185	89
Brad Boxberger R 2013 · 4.40 FIP	25	SU	4.40	25.5%	13.8%	3.1%	.296	3.54	32.3%	22.2%	152	-0.86	2.63	478	88
Francisco Del Rosario R 2006 · 5.13 FIP	25	SU	5.13	19.4%	13.0%	3.7%	.290	3.93	19.7%	10.3%	26	-1.20	3.93	194	87
Michael Wuertz R 2004 · 4.46 FIP	25	SU	4.46	24.2%	12.9%	3.2%	.243	3.39	26.1%	16.6%	189	-1.07	2.27	414	86
CJ Weins R 2024 · 4.55 FIP	23	SU	4.55	24.7%	15.9%	2.8%	.276	5.77	16.2%	-4.4%	76	+1.22	4.55	117	86
Brandon Cunniff R 2015 · 4.28 FIP	26	SU	4.28	24.5%	13.2%	2.9%	.256	4.32	20.3%	9.0%	115	+0.04	3.89	180	86
Dan Kolb R 2001 · 4.49 FIP	26	SU	4.49	21.4%	12.9%	2.9%	.295	3.61	14.3%	5.5%	131	-0.88	3.00	283	84
Nick Ernst R 2022 · 5.05 FIP	25	SU	5.05	21.9%	14.6%	3.5%	.275	—	—	—	—	—	3.56	117	83
Eduardo Herrera R 2024 · 4.13 FIP	24	SU	4.13	25.5%	15.7%	2.2%	.284	4.44	16.7%	-5.0%	31	+0.31	4.13	127	83
Dylan Hall R 2023 · 3.98 FIP	25	SU	3.98	21.0%	13.2%	1.8%	.305	7.24	15.1%	2.4%	58	+3.26	3.47	153	83
Manny Acosta R 2007 · 4.05 FIP	26	SU	4.05	23.7%	14.0%	2.1%	.196	4.23	19.0%	9.1%	130	+0.18	3.08	350	83
Sam Gardner R 2023 · 4.04 FIP	26	SU	4.04	23.8%	15.1%	1.9%	.298	3.23	26.7%	16.4%	76	-0.81	2.28	121	83
Alec Barger R 2023 · 4.44 FIP	25	SU	4.44	21.5%	14.4%	2.4%	.326	4.67	18.6%	7.5%	79	+0.23	3.85	242	83
Shawn Tolleson R 2012 · 3.86 FIP	24	SU	3.86	24.4%	11.9%	2.4%	.265	3.47	24.4%	18.5%	144	-0.39	3.05	218	83
Cameron Gann R 2017 · 4.22 FIP	24	SU	4.22	21.4%	12.4%	2.5%	.296	5.36	21.1%	6.8%	23	+1.14	3.58	146	83
Trey Benton R 2023 · 4.49 FIP	25	SU	4.49	23.8%	13.9%	3.0%	.366	2.92	18.1%	7.4%	31	-1.57	2.92	139	83
Conor Grammes R 2022 · 4.64 FIP	25	SU	4.64	28.6%	16.8%	3.3%	.293	4.52	20.8%	1.1%	128	-0.12	4.11	171	82
Ben Hecht R 2019 · 4.51 FIP	24	SU	4.51	22.7%	12.9%	3.1%	.293	7.98	14.1%	-11.4%	13	+3.47	4.39	155	82
Kevin Kopps R 2022 · 4.56 FIP	25	SU	4.56	20.2%	15.1%	2.3%	.278	4.40	16.3%	4.0%	182	-0.16	3.45	237	82
Dakota Mekkes R 2019 · 4.58 FIP	24	SU	4.58	23.1%	15.4%	2.7%	.290	4.85	16.7%	1.8%	70	+0.27	2.94	246	82