Raibel Reyes

P DSL Tampa Bay

Age 18 LHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	17	ROKDSL Tampa Bay	14	23	4.70	3.80	17.8%	12.9%	—	K 12.1% · BB 16.1% · FIP 4.88
2027PROJ	18	MLB—	13	14	5.16	5.16	20.2%	13.9%	-0.1
2028PROJ49% MLB	19	MLB—	10	11	4.95	4.86	21.0%	12.3%	-0.0

Next 2 projected WAR -0.1Projected 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 100%

CompsDenny Bentley (age 20) · Yenfri Sosa (age 18) · Miguel Jerez (age 18)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 115123vR 131

ERA5.16

FIP5.16

K%20.2%

BB%13.9%

K-BB%6.3%

Proj IP14

Value2027 · WAR

Runs saved vs league avg · 14 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)
2026	17	ROK MLE	DSL Tampa Bay	14	0	23	101	18	13	1	0%	1.6	12.1%	16.1%	-4.0%	1.4%	4.70	4.88	—
2026	17	ROK MLE	DSL Tampa Bay	14	0	23	101	18	13	1	0%	1.6	12.1%	16.1%	-4.0%	1.4%	4.70	4.88	—
2026	17	ROK RAW	DSL Tampa Bay	14	0	23	101	18	13	1	0%	1.6	17.8%	12.9%	5.0%	1.0%	4.70	3.80	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	18	MLB	—	13	0	14	59	12	8	2	0%	1.1	20.2%	13.9%	6.3%	3.0%	5.16	5.16	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	19	MLB MLE	—	21	0	22	92	19	11	3	0%	1.0	21.0%	12.3%	8.6%	2.9%	4.95	4.86	-0.1
2028	19	MLB CTX	—	10	0	11	46	10	6	1	0%	1.1	21.0%	12.3%	8.6%	2.9%	4.95	4.86	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		10	0	11	45	9	6	1	0%	1.1	21.0%	12.3%	8.6%	2.9%	4.95	4.48	+0.0
/ 200 IP	—	RAW		190	0	200	844	169	112	19	0%	1.1	21.0%	12.3%	8.6%	2.9%	4.95	4.48	+0.2
Career	—	MLE		14	0	23	101	12	16	1	0%	1.6	12.1%	16.1%	-4.0%	1.4%	4.70	4.88	-0.1
/ 200 IP	—	MLE		122	0	200	878	106	141	12	0%	1.6	12.1%	16.1%	-4.0%	1.4%	4.70	4.88	-0.7

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
Raibel Reyes (OGILVIE)	—	—	5.16	20.2%	13.9%	3.0%	—	4.86	21.0%	8.6%	22	-0.30	—	—	—
Denny Bentley L 2018 · 4.85 FIP	20	SU	4.85	19.6%	10.3%	3.8%	.318	2.88	25.4%	10.3%	58	-1.97	2.88	175	82
Yenfri Sosa L 2022 · 4.27 FIP	18	SU	4.27	17.5%	14.3%	1.5%	.354	4.38	22.5%	6.3%	91	+0.11	2.49	128	82
Miguel Jerez L 2016 · 4.53 FIP	18	SU	4.53	15.0%	9.6%	2.7%	.268	3.46	14.8%	8.9%	129	-1.07	3.39	151	79
Daniel Juarez L 2019 · 4.45 FIP	18	SU	4.45	24.9%	14.7%	2.9%	.389	4.24	26.5%	9.0%	68	-0.21	3.68	221	79
Denny Martinez L 2015 · 4.06 FIP	18	SU	4.06	15.0%	12.8%	1.1%	.294	2.86	19.0%	11.2%	94	-1.20	2.21	124	78
Boone Logan L 2006 · 4.69 FIP	21	SU	4.69	16.1%	14.0%	2.1%	.302	4.14	17.2%	10.5%	110	-0.55	2.58	442	78
Zach Matson L 2016 · 4.39 FIP	20	SU	4.39	14.4%	10.9%	2.0%	.319	4.72	25.2%	10.0%	68	+0.33	4.39	187	78
CD Pelham L 2015 · 4.77 FIP	20	SU	4.77	18.8%	18.7%	1.6%	.286	4.00	20.4%	7.8%	109	-0.77	3.39	288	77
Vance Tatum L 2016 · 5.04 FIP	21	SU	5.04	17.2%	9.7%	3.9%	.319	5.06	15.6%	2.3%	85	+0.02	4.90	116	77
Stanly Sabino L 2016 · 3.97 FIP	18	SU	3.97	15.2%	12.6%	1.0%	.247	4.24	17.8%	2.3%	80	+0.27	3.30	114	77
Gregori Louis L 2022 · 5.03 FIP	19	SU	5.03	25.4%	13.1%	4.4%	.364	4.96	19.1%	2.9%	89	-0.07	3.58	149	77
Drew Harrington L 2016 · 4.18 FIP	21	SU	4.18	15.7%	9.6%	2.1%	.295	4.14	12.5%	5.4%	175	-0.04	3.17	190	76
Peter Bonilla L 2023 · 4.27 FIP	18	SU	4.27	19.3%	18.7%	0.8%	.267	5.81	19.9%	-3.2%	70	+1.54	4.27	134	76
Rio Britton L 2024 · 4.28 FIP	21	SU	4.28	19.2%	13.5%	2.0%	.354	5.03	22.4%	7.1%	98	+0.75	4.28	166	75
Yordy Herrera L 2023 · 4.98 FIP	18	SU	4.98	20.6%	23.1%	1.3%	.283	4.88	21.2%	1.8%	117	-0.10	3.87	163	75
Franderly Morel L 2023 · 4.00 FIP	19	SU	4.00	13.8%	10.1%	1.4%	.317	5.53	19.4%	6.7%	86	+1.53	3.80	120	75
Ignacio Briceno L 2021 · 5.16 FIP	20	SU	5.16	12.7%	12.9%	2.7%	.230	3.33	17.0%	7.2%	82	-1.83	2.39	156	74
Felix Carvallo L 2015 · 4.56 FIP	21	SU	4.56	17.1%	9.8%	3.0%	.323	4.60	17.7%	4.7%	67	+0.04	4.56	132	74
Angel Padron L 2016 · 4.56 FIP	18	SU	4.56	16.4%	17.9%	1.1%	.247	4.14	17.0%	7.0%	222	-0.42	3.05	293	73
Tim Collins L 2011 · 4.36 FIP	21	SU	4.36	20.3%	15.6%	1.8%	.255	3.47	25.9%	15.6%	144	-0.89	3.16	297	73