Cristopher Hernandez

P DSL Mets Blue

Age 19 LHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	18	ROKDSL Mets Blue	13	14	11.30	7.15	12.3%	32.1%	—	K 8.4% · BB 40.1% · FIP 7.47
2027PROJ	19	MLBNYM	8	8	5.96	5.96	19.7%	20.0%	-0.1
2028PROJ49% MLB	20	MLBNYM	10	10	5.59	5.45	20.7%	16.8%	-0.1

Next 2 projected WAR -0.2Projected 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%

CompsCD Pelham (age 20) · Yensy Bello (age 19) · Daniel Gonzalez (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 130138vR 146

ERA5.96

FIP5.96

K%19.7%

BB%20.0%

K-BB%-0.3%

Proj IP8

Value2027 · WAR

Runs saved vs league avg · 8 IP

Grades · Contract

Scouting Grades

K†4550

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	18	ROK MLE	DSL Mets Blue	13	0	14	81	10	26	0	0%	1.1	8.4%	40.1%	-31.7%	0.0%	11.30	7.47	—
2026	18	ROK MLE	DSL Mets Blue	13	0	14	81	10	26	0	0%	1.1	8.4%	40.1%	-31.7%	0.0%	11.30	7.47	—
2026	18	ROK RAW	DSL Mets Blue	13	0	14	81	10	26	0	0%	1.1	12.3%	32.1%	-19.8%	0.0%	11.30	7.15	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	NYM	8	0	8	34	7	7	1	0%	1.0	19.7%	20.0%	-0.3%	2.9%	5.96	5.96	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	NYM	19	0	20	84	17	14	2	0%	1.1	20.7%	16.8%	3.8%	2.9%	5.59	5.45	-0.2
2028	20	MLB CTX	NYM	10	0	10	42	9	7	1	0%	1.0	20.7%	16.8%	3.8%	2.9%	5.59	5.45	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	9	7	1	0%	1.1	20.7%	16.8%	3.8%	2.9%	5.59	5.07	-0.1
/ 200 IP	—	RAW		190	0	200	844	183	142	20	0%	1.1	20.7%	16.8%	3.8%	2.9%	5.59	5.07	-1.2
Career	—	MLE		13	0	14	81	7	32	0	0%	1.1	8.4%	40.1%	-31.7%	0.0%	11.30	7.47	-0.2
/ 200 IP	—	MLE		181	0	200	1130	95	453	0	0%	1.1	8.4%	40.1%	-31.7%	0.0%	11.30	7.47	-2.1

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
Cristopher Hernandez (OGILVIE)	—	—	5.96	19.7%	20.0%	2.9%	—	5.45	20.7%	3.8%	20	-0.51	—	—	—
CD Pelham L 2015 · 4.77 FIP	20	SU	4.77	18.8%	18.7%	1.6%	.286	4.00	20.4%	7.8%	109	-0.77	3.39	288	88
Yensy Bello L 2022 · 6.82 FIP	19	SU	6.82	19.9%	32.3%	2.4%	.240	3.76	17.4%	4.1%	91	-3.06	2.65	103	88
Daniel Gonzalez L 2021 · 5.55 FIP	19	SU	5.55	13.6%	19.1%	2.1%	.318	4.98	20.1%	2.0%	100	-0.57	4.34	136	78
Edison Suriel L 2018 · 6.39 FIP	19	SU	6.39	16.8%	20.5%	3.8%	.341	2.16	21.4%	14.6%	17	-4.23	2.16	159	77
Jayvien Sandridge L 2018 · 5.17 FIP	19	SU	5.17	15.5%	19.0%	1.8%	.188	6.78	19.0%	-4.9%	13	+1.61	3.25	223	77
Develson Aria L 2019 · 5.19 FIP	18	SU	5.19	15.5%	19.7%	1.6%	.311	4.33	21.7%	3.1%	54	-0.86	4.32	137	77
Roberto Medina L 2024 · 5.29 FIP	19	SW	5.29	18.5%	19.6%	2.3%	.254	5.91	15.1%	-2.7%	45	+0.62	3.87	109	74
Zhiorman Imbriano L 2022 · 5.72 FIP	19	SU	5.72	12.3%	21.1%	1.8%	.283	4.79	13.2%	-5.0%	65	-0.93	3.82	100	73
Alex Robinson L 2015 · 5.75 FIP	20	SU	5.75	16.2%	31.7%	0.0%	.312	4.45	23.4%	5.2%	123	-1.30	3.69	135	73
Anfernny Reyes L 2023 · 4.98 FIP	19	SU	4.98	21.6%	13.6%	3.6%	.282	4.34	21.0%	1.8%	99	-0.64	2.89	175	72
Ignacio Briceno L 2021 · 5.16 FIP	20	SU	5.16	12.7%	12.9%	2.7%	.230	3.33	17.0%	7.2%	82	-1.83	2.39	156	72
Gabriel Cotto L 2019 · 5.98 FIP	19	SW	5.98	11.3%	18.4%	2.8%	.309	5.15	18.5%	2.4%	113	-0.83	5.02	236	71
Max Green L 2018 · 4.87 FIP	22	SU	4.87	15.7%	13.3%	2.6%	.352	4.41	13.9%	6.6%	86	-0.46	4.19	169	71
Carlos Sarmiento L 2023 · 6.86 FIP	19	SU	6.86	15.4%	25.3%	3.4%	.450	—	—	—	—	—	4.76	100	70
Felix Cabrera L 2021 · 6.37 FIP	19	SW	6.37	11.0%	22.5%	2.5%	.324	4.96	15.3%	-2.3%	92	-1.41	3.96	132	70
Andre Davis L 2015 · 6.34 FIP	21	SU	6.34	13.6%	16.7%	4.2%	.384	4.43	17.5%	9.9%	127	-1.91	4.14	154	69
Izaak Martinez L 2024 · 6.26 FIP	22	SU	6.26	21.5%	15.0%	5.6%	.300	4.03	20.0%	10.6%	125	-2.23	3.77	138	69
Enrique Perez L 2017 · 5.13 FIP	19	SU	5.13	16.0%	26.7%	0.0%	.333	4.81	16.2%	1.9%	27	-0.32	3.76	133	69
Gabriel Rodriguez L 2018 · 6.80 FIP	19	SU	6.80	24.9%	45.8%	0.0%	.188	6.53	26.8%	-6.5%	32	-0.27	6.05	128	69
Denny Bentley L 2018 · 4.85 FIP	20	SU	4.85	19.6%	10.3%	3.8%	.318	2.88	25.4%	10.3%	58	-1.97	2.88	175	69