Edwardo Melendez

P Myrtle Beach Pelicans

Age 23 RHP 6'0" / 177 lbs A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	20	ROKDSL Cubs Red	14	3	30	7.71	2.90	23.7%	14.4%	—	K 16.1% · BB 18.0% · FIP 4.01
2025	21	MIX2 levels	18	8	61	5.46	4.33	22.3%	19.1%	—	K 15.4% · BB 23.6% · FIP 5.69
2026	22	MIX2 levels	31	4	72	2.76	3.87	26.7%	15.3%	—	K 20.2% · BB 17.2% · FIP 4.64
2027PROJ	23	MLBCHC	59	0	62	6.08	6.08	17.4%	20.0%	-1.0
2028PROJ43% MLB	24	MLBCHC	27	0	28	5.77	5.68	18.6%	17.6%	-0.3
2029PROJ66% MLB	25	MLBCHC	42	0	44	5.52	5.43	19.3%	16.2%	-0.4

Next 3 projected WAR -1.8Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff35Control20Command20

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 99%

CompsBlake Quinn (age 23) · Garrett Apker (age 23) · Jon Keller (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 149140vR 132

ERA6.08

FIP6.08

K%17.4%

BB%20.0%

K-BB%-2.6%

Proj IP62

Value2027 · WAR

Runs saved vs league avg · 62 IP

Grades · Contract

Scouting Grades

STUF3535

CTRL2020

CMD2020

K†4045

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)
2024	20	ROK MLE	DSL Cubs Red	14	3	30	139	33	20	0	21%	2.2	16.1%	18.0%	-1.8%	0.0%	7.71	4.01	—
2024	20	ROK MLE	DSL Cubs Red	14	3	30	139	33	20	0	21%	2.2	16.1%	18.0%	-1.8%	0.0%	7.71	4.01	—
2024	20	ROK RAW	DSL Cubs Red	14	3	30	139	33	20	0	21%	2.2	23.7%	14.4%	9.4%	0.0%	7.71	2.90	—
2025	21	MIX MLE	2 levels	18	8	61	282	63	54	3	44%	3.4	15.4%	23.6%	-8.2%	1.6%	5.46	5.69	—
2025	21	MIX MLE	2 levels	18	8	61	282	63	54	3	44%	3.4	15.4%	23.6%	-8.2%	1.6%	5.46	5.69	—
2025	21	MIX RAW	2 levels	18	8	61	282	63	54	3	44%	3.4	22.3%	19.1%	3.2%	1.1%	5.46	4.33	—
2026	22	MIX MLE	2 levels	31	4	72	307	82	47	6	13%	2.3	20.2%	17.2%	3.0%	1.9%	2.76	4.64	—
2026	22	MIX MLE	2 levels	31	4	72	307	82	47	6	13%	2.3	20.2%	17.2%	3.0%	1.9%	2.76	4.64	—
2026	22	MIX RAW	2 levels	31	4	72	307	82	47	6	13%	2.3	26.7%	15.3%	11.4%	2.0%	2.76	3.87	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	CHC	59	0	62	262	46	52	7	0%	1.1	17.4%	20.0%	-2.6%	2.8%	6.08	6.08	-1.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	CHC	63	0	66	279	52	49	8	0%	1.0	18.6%	17.6%	0.9%	2.8%	5.77	5.68	-0.8
2029	25	MLB MLE	CHC	64	0	67	282	55	46	8	0%	1.0	19.3%	16.2%	3.2%	2.8%	5.52	5.43	-0.7
2030	26	MLB MLE	CHC	64	0	67	282	56	45	8	0%	1.0	19.7%	15.8%	4.0%	2.8%	5.39	5.35	-0.6
2031	27	MLB MLE	CHC	63	0	66	278	55	44	8	0%	1.0	19.8%	15.7%	4.1%	2.9%	5.36	5.36	-0.6
2032	28	MLB MLE	CHC	61	0	64	270	53	43	8	0%	1.0	19.7%	15.8%	3.8%	3.0%	5.41	5.45	-0.6
2028	24	MLB CTX	CHC	27	0	28	118	22	21	3	0%	1.0	18.6%	17.6%	0.9%	2.8%	5.77	5.68	-0.3
2029	25	MLB CTX	CHC	42	0	44	186	36	30	5	0%	1.0	19.3%	16.2%	3.2%	2.8%	5.52	5.43	-0.4
2030	26	MLB CTX	CHC	50	0	53	224	44	35	6	0%	1.1	19.7%	15.8%	4.0%	2.8%	5.39	5.35	-0.5
2031	27	MLB CTX	CHC	53	0	56	236	47	37	7	0%	1.1	19.8%	15.7%	4.1%	2.9%	5.36	5.36	-0.5
2032	28	MLB CTX	CHC	54	0	57	241	47	38	7	0%	1.1	19.7%	15.8%	3.8%	3.0%	5.41	5.45	-0.6
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		227	0	239	1007	197	162	29	0%	1.1	19.5%	16.0%	3.5%	2.8%	5.46	5.05	-1.4
/ 200 IP	—	RAW		190	0	200	844	165	136	24	0%	1.1	19.5%	16.0%	3.5%	2.8%	5.46	5.05	-1.2
Career	—	MLE		63	15	163	728	128	145	11	24%	2.6	17.6%	19.9%	-2.3%	1.5%	4.69	4.93	-3.4
/ 200 IP	—	MLE		77	18	200	893	157	177	13	24%	2.6	17.6%	19.9%	-2.3%	1.5%	4.69	4.93	-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
Edwardo Melendez (OGILVIE)	—	—	6.08	17.4%	20.0%	2.8%	—	5.49	19.2%	2.7%	200	-0.59	—	—	—
Blake Quinn R 2017 · 5.41 FIP	23	SW	5.41	16.9%	15.3%	3.3%	.328	4.42	17.1%	3.3%	48	-0.99	4.42	122	87
Garrett Apker R 2023 · 6.24 FIP	23	SW	6.24	15.0%	18.8%	3.7%	.343	4.93	18.9%	5.2%	53	-1.31	4.01	101	87
Jon Keller R 2016 · 5.48 FIP	23	SW	5.48	15.3%	20.9%	1.9%	.265	3.84	8.9%	-2.9%	15	-1.64	3.64	156	85
Cole Percival R 2022 · 5.21 FIP	23	SU	5.21	15.4%	14.5%	2.9%	.297	4.27	17.9%	5.9%	182	-0.94	3.58	327	83
Carlos Polanco R 2017 · 5.71 FIP	23	SU	5.71	13.9%	20.0%	2.3%	.267	—	—	—	—	—	3.70	276	83
Johan Moreno R 2024 · 6.25 FIP	21	SW	6.25	13.2%	16.7%	3.9%	.325	4.36	20.7%	8.0%	115	-1.89	3.09	216	80
Jake Eddington R 2024 · 5.02 FIP	23	SW	5.02	18.8%	24.1%	0.8%	.316	4.83	16.6%	-1.5%	105	-0.19	4.70	135	80
Hansel Rosario R 2024 · 5.54 FIP	21	SW	5.54	19.2%	22.2%	2.3%	.306	7.16	16.3%	-21.0%	19	+1.62	5.25	107	80
Josue Gerardo R 2016 · 5.33 FIP	23	SU	5.33	17.8%	23.5%	1.4%	.220	5.99	16.5%	-6.0%	30	+0.66	4.59	122	80
Brett Lockwood R 2021 · 5.46 FIP	24	SU	5.46	16.2%	15.5%	3.2%	.312	4.58	11.0%	-6.3%	79	-0.88	4.24	132	79
Victor Santos R 2001 · 4.97 FIP	24	SW	4.97	15.5%	13.4%	2.7%	.231	4.38	16.4%	7.4%	206	-0.59	4.09	602	79
Jeff Soptic R 2015 · 5.30 FIP	24	SU	5.30	15.5%	17.2%	2.5%	.237	5.52	13.6%	-1.7%	68	+0.22	5.30	124	79
Ted Stuka R 2021 · 5.72 FIP	24	SW	5.72	12.4%	23.4%	1.3%	.262	6.22	15.9%	-13.1%	41	+0.50	5.36	105	79
David Lucroy R 2016 · 4.99 FIP	23	SU	4.99	15.8%	16.8%	2.0%	.352	—	—	—	—	—	3.93	103	79
Cole Aker R 2019 · 5.60 FIP	22	SW	5.60	19.5%	20.6%	2.8%	.239	6.17	12.0%	-9.9%	28	+0.57	3.60	147	78
Jordan Brink R 2016 · 5.96 FIP	23	SW	5.96	18.3%	19.2%	3.6%	.233	—	—	—	—	—	3.99	132	78
Luis Ledo R 2018 · 5.51 FIP	23	SU	5.51	17.1%	17.6%	3.0%	.329	3.65	20.8%	8.0%	85	-1.86	3.27	376	78
Jacob Morris R 2015 · 5.43 FIP	24	SU	5.43	18.0%	19.6%	2.5%	.218	4.77	18.7%	-2.4%	46	-0.66	4.77	102	77
Radhames Liz R 2007 · 5.07 FIP	23	SW	5.07	19.7%	18.0%	2.5%	.301	5.66	14.5%	2.3%	84	+0.59	2.81	219	77
James Acuna R 2021 · 5.12 FIP	23	SU	5.12	21.3%	17.0%	3.0%	.302	4.33	19.4%	4.6%	60	-0.79	4.33	107	77

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	2.0	65	19.1%	16.8%	1.10	5.58
Brian Bruney ('12)	1.3	43	21.2%	15.8%	0.94	4.68
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Doug Bochtler ('00)	1.3	65	18.6%	14.4%	1.25	4.57
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Dave Jolly ('53-'57, -0 WAR*)	1.5	58	20.2%*	14.3%*	0.91*	4.33*
Ron Piche ('60-'66, -3 WAR*)	1.1	44	20.6%*	12.8%*	1.14*	5.06*