Fernando Hernandez

P DSL Twins

Age 20 RHP ROK peak 0.4 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	19	ROKMIN	7	7	13	4.05	1.15	27.6%	3.4%	—	K 18.8% · BB 4.3% · FIP 2.06
2027PROJ	20	MLBMIN	1	1	8	4.02	4.02	22.5%	6.5%	0.1
2028PROJ49% MLB	21	MLBMIN	2	2	10	4.00	3.96	23.0%	6.6%	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 1% · didn't stick 97%

CompsJonathan Stiever (age 21) · Caleb Sampen (age 22) · Clarke Schmidt (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 110101vR 93

ERA4.02

FIP4.02

K%22.5%

BB%6.5%

K-BB%16.0%

Proj IP8

Value2027 · WAR

Runs saved vs league avg · 8 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	19	ROK MLE	DSL Twins	7	7	13	58	16	2	0	100%	1.9	18.8%	4.3%	14.4%	0.0%	4.05	2.06	—
2026	19	ROK MLE	DSL Twins	7	7	13	58	16	2	0	100%	1.9	18.8%	4.3%	14.4%	0.0%	4.05	2.06	—
2026	19	ROK RAW	DSL Twins	7	7	13	58	16	2	0	100%	1.9	27.6%	3.4%	24.1%	0.0%	4.05	1.15	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	MIN	1	1	8	34	8	2	1	100%	8.0	22.5%	6.5%	16.0%	3.0%	4.02	4.02	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	MIN	4	4	20	84	19	6	2	100%	5.0	23.0%	6.6%	16.4%	2.9%	4.00	3.96	+0.2
2028	21	MLB CTX	MIN	2	2	10	42	10	3	1	100%	5.0	23.0%	6.6%	16.4%	2.9%	4.00	3.96	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		2	2	10	42	10	3	1	100%	4.9	23.0%	6.6%	16.4%	2.9%	4.00	3.58	+0.2
/ 200 IP	—	RAW		41	41	200	844	203	61	20	100%	4.8	23.0%	6.6%	16.4%	2.9%	4.00	3.58	+3.2
Career	—	MLE		7	7	13	58	11	2	0	100%	1.9	18.8%	4.3%	14.4%	0.0%	4.05	2.06	+0.2
/ 200 IP	—	MLE		105	105	200	870	163	38	0	100%	1.9	18.8%	4.3%	14.4%	0.0%	4.05	2.06	+2.2

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
Fernando Hernandez (OGILVIE)	—	—	4.02	22.5%	6.5%	3.0%	—	3.96	23.0%	16.4%	20	-0.06	—	—	—
Jonathan Stiever R 2018 · 4.39 FIP	21	SP	4.39	22.9%	9.7%	3.6%	.308	4.25	20.7%	14.2%	219	-0.14	4.23	247	81
Caleb Sampen R 2018 · 3.46 FIP	22	SP	3.46	21.7%	8.3%	2.1%	.358	3.49	15.2%	6.8%	139	+0.03	3.09	213	78
Clarke Schmidt R 2018 · 3.53 FIP	22	SP	3.53	23.1%	8.5%	2.4%	.324	3.26	21.3%	13.1%	108	-0.27	2.77	537	77
Jeff Criswell R 2021 · 4.14 FIP	22	SP	4.14	18.5%	9.2%	2.6%	.242	5.24	21.9%	11.8%	306	+1.10	4.14	352	73
Jonathan Loáisiga R 2017 · 3.48 FIP	22	SP	3.48	17.3%	4.2%	2.4%	.220	3.72	25.4%	18.0%	149	+0.24	2.30	398	73
Chris Clark R 2023 · 3.29 FIP	21	SP	3.29	18.9%	6.9%	1.7%	.362	4.79	18.2%	7.5%	333	+1.50	3.29	353	72
Michael Grove R 2019 · 4.39 FIP	22	SP	4.39	24.3%	9.5%	3.9%	.409	5.45	21.8%	11.5%	176	+1.06	3.01	396	72
Carson Fulmer R 2015 · 4.15 FIP	21	SP	4.15	21.4%	11.5%	2.5%	.259	4.96	17.1%	4.0%	364	+0.81	3.88	910	72
Zach Haake R 2018 · 4.13 FIP	21	SP	4.13	16.4%	8.6%	2.4%	.205	4.54	20.2%	6.8%	121	+0.41	3.44	272	71
Eric Cerantola R 2022 · 4.86 FIP	22	SP	4.86	23.8%	7.9%	5.1%	.392	3.99	24.6%	9.9%	198	-0.87	3.37	270	71
Marco Raya R 2023 · 3.99 FIP	20	SP	3.99	19.9%	9.6%	2.5%	.238	4.75	20.8%	10.0%	256	+0.76	3.99	383	70
Ryan Fernandez R 2018 · 4.44 FIP	20	SP-	4.44	19.2%	6.8%	3.8%	.357	3.37	20.8%	13.2%	53	-1.07	3.02	363	70
Rayner Urbaez R 2023 · 3.88 FIP	20	SP	3.88	23.6%	11.4%	2.4%	.337	3.35	15.0%	3.0%	27	-0.53	2.55	103	69
Israel Puello R 2021 · 3.88 FIP	20	SP	3.88	21.9%	9.8%	2.5%	.328	5.91	17.6%	5.2%	107	+2.03	3.01	266	69
Miguel Díaz R 2015 · 3.40 FIP	20	SP-	3.40	19.3%	7.7%	1.7%	.365	4.40	19.4%	8.2%	233	+1.00	2.11	573	69
Manuel Genao R 2024 · 3.02 FIP	18	SP	3.02	17.9%	8.7%	0.6%	.318	3.90	17.3%	8.6%	162	+0.88	3.02	191	69
Richard Guasch R 2018 · 2.94 FIP	20	SP-	2.94	20.0%	5.4%	1.5%	.267	4.67	21.0%	5.2%	134	+1.73	2.94	316	68
Sam Bachman R 2021 · 3.70 FIP	21	SP	3.70	19.9%	7.9%	2.3%	.316	5.16	15.2%	2.2%	142	+1.46	3.22	251	68
Pedro Reyes R 2023 · 4.17 FIP	20	SP-	4.17	18.0%	9.2%	2.6%	.159	4.92	11.0%	0.5%	90	+0.75	2.87	180	68
Angel Jimenez R 2023 · 3.31 FIP	20	SP	3.31	23.3%	5.1%	2.8%	.368	4.43	21.1%	10.0%	144	+1.12	3.24	223	67