Omar Arredondo

P DSL Rays

Age 21 RHP 6'3" / 188 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	19	ROKTB	14	21	6.43	5.24	10.2%	13.3%	—	K 6.9% · BB 16.6% · FIP 6.15
2027PROJ	21	MLBTB	11	12	5.02	5.02	20.7%	12.9%	-0.1
2028PROJ49% MLB	22	MLBTB	10	10	4.79	4.69	21.9%	11.4%	-0.0

Next 2 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsLuis Alvarado (age 21) · Jordan Mikel (age 22) · Max Gieg (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 129120vR 112

ERA5.02

FIP5.02

K%20.7%

BB%12.9%

K-BB%7.8%

Proj IP12

Value2027 · WAR

Runs saved vs league avg · 12 IP

Grades · Contract

Scouting Grades

K†5050

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	19	ROK MLE	DSL Rays	14	0	21	98	10	13	2	0%	1.5	6.9%	16.6%	-9.6%	2.8%	6.43	6.15	—
2025	19	ROK MLE	DSL Rays	14	0	21	98	10	13	2	0%	1.5	6.9%	16.6%	-9.6%	2.8%	6.43	6.15	—
2025	19	ROK RAW	DSL Rays	14	0	21	98	10	13	2	0%	1.5	10.2%	13.3%	-3.1%	2.0%	6.43	5.24	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	21	MLB	TB	11	0	12	51	10	7	2	0%	1.1	20.7%	12.9%	7.8%	3.0%	5.02	5.02	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	22	MLB MLE	TB	19	0	20	84	18	10	2	0%	1.1	21.9%	11.4%	10.4%	2.9%	4.79	4.69	-0.0
2028	22	MLB CTX	TB	10	0	10	42	9	5	1	0%	1.0	21.9%	11.4%	10.4%	2.9%	4.79	4.69	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	9	5	1	0%	1.1	21.9%	11.4%	10.4%	2.9%	4.79	4.31	+0.0
/ 200 IP	—	RAW		190	0	200	844	183	102	20	0%	1.1	21.9%	11.4%	10.4%	2.9%	4.79	4.31	+0.6
Career	—	MLE		14	0	21	98	7	16	3	0%	1.5	6.9%	16.6%	-9.6%	2.8%	6.43	6.15	-0.0
/ 200 IP	—	MLE		133	0	200	933	65	155	26	0%	1.5	6.9%	16.6%	-9.6%	2.8%	6.43	6.15	-0.3

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
Omar Arredondo (OGILVIE)	—	—	5.02	20.7%	12.9%	3.0%	—	4.69	21.9%	10.4%	20	-0.33	—	—	—
Luis Alvarado R 2018 · 5.24 FIP	21	SU	5.24	20.2%	12.4%	4.2%	.276	5.16	18.7%	4.4%	140	-0.08	4.89	162	90
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	89
Max Gieg R 2022 · 5.10 FIP	21	SU	5.10	21.1%	11.8%	4.2%	.317	4.65	20.4%	2.3%	92	-0.45	3.98	149	89
Kasey Ford R 2021 · 4.89 FIP	23	SU	4.89	20.3%	14.5%	3.0%	.310	4.26	21.9%	5.8%	98	-0.63	2.53	114	89
Nolan Sparks R 2024 · 4.10 FIP	21	SU	4.10	21.8%	13.5%	2.1%	.229	4.72	19.3%	5.3%	140	+0.62	4.10	155	88
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	87
Easton Sikorski R 2023 · 4.85 FIP	23	SU	4.85	20.9%	14.1%	3.1%	.254	4.62	17.5%	6.3%	154	-0.23	4.23	183	87
Kyle Hinton R 2018 · 4.17 FIP	21	SU	4.17	23.5%	15.0%	2.1%	.275	5.69	17.7%	-0.7%	75	+1.52	4.17	106	87
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	87
Brandon Dufault R 2021 · 5.32 FIP	22	SU	5.32	22.1%	15.9%	3.8%	.278	4.83	21.0%	4.2%	66	-0.49	4.38	152	87
Samuel Carpio R 2024 · 4.20 FIP	21	SU	4.20	21.2%	15.3%	1.7%	.300	5.36	21.6%	-3.4%	112	+1.16	4.20	134	87
Zack Hess R 2019 · 5.00 FIP	22	SU	5.00	18.1%	13.1%	3.2%	.232	5.47	22.9%	6.3%	50	+0.47	5.00	101	87
Jeremy Beasley R 2017 · 4.71 FIP	21	SU	4.71	19.5%	11.6%	3.3%	.273	4.10	17.7%	8.7%	234	-0.61	3.17	337	87
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	87
Carson Hobbs R 2024 · 5.63 FIP	22	SU	5.63	18.9%	13.6%	4.4%	.303	3.97	22.0%	10.4%	118	-1.66	3.54	143	86
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	86
Tyler Smith R 2018 · 5.30 FIP	22	SU	5.30	17.8%	14.3%	3.4%	.329	4.35	19.8%	7.8%	94	-0.95	3.44	121	86
Ty Tice R 2017 · 4.29 FIP	21	SU	4.29	22.2%	12.9%	2.6%	.271	3.53	19.4%	8.3%	108	-0.76	3.24	288	86
Osiel Rodriguez R 2023 · 4.82 FIP	21	SU	4.82	22.7%	15.7%	3.0%	.263	5.62	22.0%	7.6%	56	+0.80	3.38	124	86
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	86