Edgar Benitez

P DSL Orioles Black

Age 22 RHP 6'0" / 165 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	20	ROKDSL Orioles B…	7	1	17	4.32	3.88	16.9%	11.3%	—	K 11.5% · BB 14.1% · FIP 5.23
2026	21	ROKDSL Orioles B…	5	1	7	12.15	5.80	8.1%	21.6%	—	K 8.1% · BB 21.6% · FIP 5.15
2027PROJ	22	MLBBAL	10	0	10	4.70	4.70	21.9%	11.3%	-0.0
2028PROJ49% MLB	23	MLBBAL	10	0	10	4.55	4.48	22.8%	10.3%	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 98%

CompsKyle Zurak (age 22) · Todd Peterson (age 23) · Zac Ryan (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 122114vR 106

ERA4.70

FIP4.70

K%21.9%

BB%11.3%

K-BB%10.6%

Proj IP10

Value2027 · WAR

Runs saved vs league avg · 10 IP

Grades · Contract

Scouting Grades

K†5055

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)
2025	20	ROK MLE	DSL Orioles Black	7	1	17	71	12	8	1	14%	2.4	11.5%	14.1%	-2.6%	2.4%	4.32	5.23	—
2025	20	ROK MLE	DSL Orioles Black	7	1	17	71	12	8	1	14%	2.4	11.5%	14.1%	-2.6%	2.4%	4.32	5.23	—
2025	20	ROK RAW	DSL Orioles Black	7	1	17	71	12	8	1	14%	2.4	16.9%	11.3%	5.6%	1.4%	4.32	3.88	—
2026	21	ROK MLE	DSL Orioles Black	5	1	7	37	3	8	0	20%	1.3	8.1%	21.6%	-13.5%	0.0%	12.15	5.15	—
2026	21	ROK MLE	DSL Orioles Black	5	1	7	37	3	8	0	20%	1.3	8.1%	21.6%	-13.5%	0.0%	12.15	5.15	—
2026	21	ROK RAW	DSL Orioles Black	5	1	7	37	3	8	0	20%	1.3	8.1%	21.6%	-13.5%	0.0%	12.15	5.80	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	BAL	10	0	10	42	9	5	1	0%	1.0	21.9%	11.3%	10.6%	3.0%	4.70	4.70	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	BAL	19	0	20	84	19	9	2	0%	1.1	22.8%	10.3%	12.5%	2.9%	4.55	4.48	+0.0
2028	23	MLB CTX	BAL	10	0	10	42	10	4	1	0%	1.0	22.8%	10.3%	12.5%	2.9%	4.55	4.48	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	9	4	1	0%	1.1	22.8%	10.3%	12.5%	2.9%	4.55	4.10	+0.1
/ 200 IP	—	RAW		190	0	200	844	183	81	20	0%	1.1	22.8%	10.3%	12.5%	2.9%	4.55	4.10	+1.1
Career	—	MLE		12	2	23	108	11	18	2	17%	1.9	10.3%	16.7%	-6.3%	1.6%	6.56	5.20	+0.0
/ 200 IP	—	MLE		103	17	200	926	96	154	15	17%	1.9	10.3%	16.7%	-6.3%	1.6%	6.56	5.20	+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
Edgar Benitez (OGILVIE)	—	—	4.70	21.9%	11.3%	3.0%	—	4.48	22.8%	12.5%	20	-0.22	—	—	—
Kyle Zurak R 2017 · 3.96 FIP	22	SU	3.96	21.2%	9.4%	2.6%	.302	3.42	16.7%	7.5%	121	-0.54	3.20	181	88
Todd Peterson R 2021 · 5.11 FIP	23	SW	5.11	18.4%	10.3%	4.1%	.279	4.83	15.0%	4.3%	124	-0.28	4.45	175	85
Zac Ryan R 2017 · 3.83 FIP	23	SU	3.83	20.5%	10.9%	2.0%	.233	3.93	21.6%	6.9%	124	+0.10	3.83	184	84
Cody Palmquist R 2016 · 4.31 FIP	22	SU	4.31	21.9%	9.0%	3.5%	.278	6.02	14.7%	7.1%	62	+1.71	4.31	104	84
Heath Holder R 2016 · 4.16 FIP	23	SU	4.16	21.1%	10.1%	2.8%	.287	3.30	22.3%	13.1%	247	-0.86	2.94	367	84
Jonathan Papelbon R 2005 · 3.93 FIP	24	SW	3.93	23.0%	10.1%	2.7%	.305	1.90	31.3%	26.8%	196	-2.03	1.33	726	84
Luis Romero R 2017 · 5.00 FIP	23	SU	5.00	22.1%	11.9%	4.1%	.367	4.26	21.6%	12.5%	132	-0.74	4.00	293	84
Brandyn Sittinger R 2017 · 4.37 FIP	23	SU	4.37	22.2%	13.8%	2.5%	.324	3.97	21.2%	7.2%	72	-0.40	3.58	152	83
Ismael Cabrera R 2016 · 4.77 FIP	22	SU	4.77	19.5%	12.4%	3.2%	.276	5.29	16.9%	6.5%	95	+0.52	3.56	133	82
Brandon Beckel R 2024 · 3.75 FIP	22	SU	3.75	19.4%	10.3%	1.8%	.250	4.23	19.5%	10.5%	147	+0.48	3.75	194	82
Tyler Mitzel R 2019 · 4.34 FIP	23	SU	4.34	24.1%	12.0%	3.2%	.245	4.10	22.4%	14.3%	96	-0.24	4.03	142	82
Cole Gordon R 2019 · 4.09 FIP	23	SU	4.09	22.0%	12.7%	2.3%	.243	5.19	20.9%	9.5%	83	+1.10	4.09	112	82
Ricardo Velez R 2023 · 4.44 FIP	24	SU	4.44	22.4%	10.9%	3.4%	.261	4.09	18.8%	8.1%	138	-0.35	3.83	166	82
Caleb Freeman R 2019 · 3.98 FIP	21	SU	3.98	24.6%	12.9%	2.4%	.267	5.15	21.7%	8.1%	58	+1.17	3.98	225	82
Jordan Mikel R 2021 · 4.49 FIP	22	SU	4.49	20.5%	12.5%	2.8%	.330	4.16	19.2%	9.0%	109	-0.33	3.04	195	82
Sean Isaac R 2016 · 4.27 FIP	23	SU	4.27	19.5%	12.3%	2.3%	.342	3.76	25.0%	10.7%	128	-0.51	3.27	155	82
Owen Holt R 2022 · 3.72 FIP	23	SU	3.72	20.7%	10.2%	2.0%	.258	4.51	18.7%	6.4%	107	+0.79	3.72	145	82
Peyton Williams R 2021 · 3.69 FIP	23	SU	3.69	22.3%	10.3%	2.1%	.311	4.82	22.2%	10.2%	100	+1.13	3.69	123	81
Mike Morrison R 2016 · 4.86 FIP	22	SU	4.86	17.3%	10.7%	3.4%	.280	4.02	19.0%	7.1%	128	-0.84	3.36	145	81
Colby Morris R 2021 · 4.11 FIP	24	SU	4.11	20.4%	10.7%	2.5%	.291	5.76	16.2%	4.4%	54	+1.65	4.11	105	81