Edwing Fernandez

P DSL CLE Mendoza

Age 18 RHP ROK peak 0.1 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	17	ROKDSL CLE Mendo…	8	5	19	6.63	4.89	12.6%	11.5%	—	K 8.6% · BB 14.4% · FIP 5.96
2027PROJ	18	MLBPIT	2	2	11	5.06	5.06	19.6%	12.5%	-0.0
2028PROJ49% MLB	19	MLBPIT	2	2	10	4.87	4.80	20.5%	11.3%	0.0

Next 2 projected WAR -0.0Projected 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 99%

CompsLuis Victorino (age 19) · Deretd Parra (age 19) · Alimber Santa (age 18)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 129121vR 113

ERA5.06

FIP5.06

K%19.6%

BB%12.5%

K-BB%7.0%

Proj IP11

Value2027 · WAR

Runs saved vs league avg · 11 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	17	ROK MLE	DSL CLE Mendoza	8	5	19	87	11	10	2	62%	2.4	8.6%	14.4%	-5.8%	3.2%	6.63	5.96	—
2026	17	ROK MLE	DSL CLE Mendoza	8	5	19	87	11	10	2	62%	2.4	8.6%	14.4%	-5.8%	3.2%	6.63	5.96	—
2026	17	ROK RAW	DSL CLE Mendoza	8	5	19	87	11	10	2	62%	2.4	12.6%	11.5%	1.1%	2.3%	6.63	4.89	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	18	MLB	PIT	2	2	11	46	9	6	1	100%	5.5	19.6%	12.5%	7.0%	3.0%	5.06	5.06	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	19	MLB MLE	PIT	4	4	20	84	17	10	2	100%	5.0	20.5%	11.3%	9.2%	2.9%	4.87	4.80	+0.0
2028	19	MLB CTX	PIT	2	2	10	42	9	5	1	100%	5.0	20.5%	11.3%	9.2%	2.9%	4.87	4.80	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		2	2	10	42	9	5	1	100%	4.9	20.5%	11.3%	9.2%	2.9%	4.87	4.42	+0.1
/ 200 IP	—	RAW		46	46	200	844	183	102	20	100%	4.3	20.5%	11.3%	9.2%	2.9%	4.87	4.42	+1.1
Career	—	MLE		8	5	19	87	7	12	3	62%	2.4	8.6%	14.4%	-5.8%	3.2%	6.63	5.96	+0.0
/ 200 IP	—	MLE		84	53	200	916	79	132	29	62%	2.4	8.6%	14.4%	-5.8%	3.2%	6.63	5.96	+0.2

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
Edwing Fernandez (OGILVIE)	—	—	5.06	19.6%	12.5%	3.0%	—	4.80	20.5%	9.2%	20	-0.26	—	—	—
Luis Victorino R 2022 · 4.26 FIP	19	SP-	4.26	18.9%	12.8%	2.1%	.301	4.98	15.9%	-5.0%	84	+0.72	4.26	149	85
Deretd Parra R 2019 · 5.29 FIP	19	SP-	5.29	16.8%	10.9%	4.1%	.295	3.85	15.7%	2.3%	83	-1.44	2.79	161	84
Alimber Santa R 2021 · 4.85 FIP	18	SW	4.85	17.0%	11.4%	3.2%	.304	5.08	20.9%	1.8%	125	+0.23	3.30	277	84
Cristian Aray R 2024 · 4.99 FIP	17	SP-	4.99	14.8%	11.8%	3.0%	.272	4.48	13.0%	-2.3%	72	-0.51	4.44	104	82
Jose Cedeno R 2019 · 4.66 FIP	17	SP-	4.66	15.3%	9.7%	3.0%	.271	3.39	21.5%	12.9%	88	-1.27	2.80	123	81
Gerelmi Maldonado R 2022 · 4.23 FIP	18	SP-	4.23	24.0%	14.2%	2.5%	.337	4.58	19.9%	2.2%	124	+0.35	3.83	225	80
Heisell Baro R 2019 · 4.37 FIP	17	SP-	4.37	19.0%	11.9%	2.5%	.196	5.91	15.8%	-1.4%	61	+1.54	4.25	105	80
Yosber Sanchez R 2019 · 5.58 FIP	18	SP-	5.58	14.6%	14.9%	3.3%	.315	4.61	20.2%	-5.2%	13	-0.97	3.21	200	80
Moises Castillo R 2024 · 4.58 FIP	19	SP-	4.58	18.1%	11.7%	2.8%	.269	4.06	19.4%	4.9%	67	-0.52	3.76	104	79
Nicholas Economos R 2015 · 4.95 FIP	20	SP-	4.95	15.3%	10.7%	3.3%	.233	5.28	10.4%	0.6%	57	+0.33	4.40	223	79
Jhoster Baez R 2024 · 4.57 FIP	19	SP-	4.57	17.3%	14.8%	1.9%	.283	5.93	15.9%	-5.0%	73	+1.36	4.57	110	79
Janser Lara R 2016 · 5.61 FIP	19	SP-	5.61	20.1%	17.3%	3.7%	.354	5.04	17.9%	4.8%	118	-0.57	2.84	220	78
Sean Paul Liñan R 2023 · 4.05 FIP	18	SP-	4.05	17.7%	8.3%	2.5%	.324	4.30	22.1%	10.2%	210	+0.25	3.29	272	77
Eliazar Dishmey R 2023 · 6.05 FIP	18	SW	6.05	17.9%	15.1%	4.6%	.302	3.83	21.9%	9.2%	268	-2.22	3.40	311	77
Luis Aguilar R 2023 · 4.45 FIP	19	SW	4.45	17.6%	10.3%	2.8%	.356	4.27	16.7%	6.7%	111	-0.18	3.51	146	77
Jharold Clemente R 2023 · 4.97 FIP	20	SP	4.97	17.5%	13.6%	3.0%	.258	5.11	13.3%	4.3%	92	+0.14	4.09	116	77
Edgar Leon R 2023 · 4.36 FIP	18	SP	4.36	18.2%	15.4%	1.5%	.268	4.93	17.6%	-3.0%	83	+0.57	4.13	144	76
David Lorduy R 2022 · 4.51 FIP	18	SP-	4.51	15.0%	13.4%	1.8%	.369	3.91	18.0%	9.9%	172	-0.60	3.38	269	76
Aneury Lora R 2022 · 3.95 FIP	18	SP	3.95	16.6%	11.1%	1.5%	.339	3.72	15.1%	5.9%	114	-0.23	3.69	192	76
Richard Fernandez R 2022 · 5.10 FIP	19	SP	5.10	15.1%	9.3%	3.8%	.309	4.25	16.5%	-0.2%	85	-0.85	3.66	137	76