Raymond Cruz

P DSL Reds

Age 19 LHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	18	ROKCIN	8	16	3.45	2.40	27.9%	13.2%	—	K 19.0% · BB 16.5% · FIP 3.59
2027PROJ	19	MLBCIN	9	9	4.91	4.91	22.5%	13.5%	-0.0
2028PROJ49% MLB	20	MLBCIN	10	10	4.73	4.66	22.9%	12.1%	-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%

CompsAnfernny Reyes (age 19) · Yokelvin Reyes (age 19) · Daniel Juarez (age 18)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 110118vR 126

ERA4.91

FIP4.91

K%22.5%

BB%13.5%

K-BB%8.9%

Proj IP9

Value2027 · WAR

Runs saved vs league avg · 9 IP

Grades · Contract

Scouting Grades

K†5555

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	18	ROK MLE	DSL Reds	8	0	16	68	19	9	0	0%	2.0	19.0%	16.5%	2.5%	0.0%	3.45	3.59	—
2026	18	ROK MLE	DSL Reds	8	0	16	68	19	9	0	0%	2.0	19.0%	16.5%	2.5%	0.0%	3.45	3.59	—
2026	18	ROK RAW	DSL Reds	8	0	16	68	19	9	0	0%	2.0	27.9%	13.2%	14.7%	0.0%	3.45	2.40	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	CIN	9	0	9	38	9	5	1	0%	1.0	22.5%	13.5%	8.9%	2.9%	4.91	4.91	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	CIN	19	0	20	84	19	10	2	0%	1.1	22.9%	12.1%	10.9%	2.9%	4.73	4.66	-0.0
2028	20	MLB CTX	CIN	10	0	10	42	10	5	1	0%	1.0	22.9%	12.1%	10.9%	2.9%	4.73	4.66	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	10	5	1	0%	1.1	22.9%	12.1%	10.9%	2.9%	4.73	4.28	+0.0
/ 200 IP	—	RAW		190	0	200	844	203	102	20	0%	1.1	22.9%	12.1%	10.9%	2.9%	4.73	4.28	+0.6
Career	—	MLE		8	0	16	68	13	11	0	0%	2.0	19.0%	16.5%	2.5%	0.0%	3.45	3.59	-0.0
/ 200 IP	—	MLE		102	0	200	868	165	144	0	0%	2.0	19.0%	16.5%	2.5%	0.0%	3.45	3.59	-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
Raymond Cruz (OGILVIE)	—	—	4.91	22.5%	13.5%	2.9%	—	4.66	22.9%	10.9%	20	-0.25	—	—	—
Anfernny Reyes L 2023 · 4.98 FIP	19	SU	4.98	21.6%	13.6%	3.6%	.282	4.34	21.0%	1.8%	99	-0.64	2.89	175	84
Yokelvin Reyes L 2023 · 3.94 FIP	19	SU	3.94	20.1%	12.8%	1.7%	.293	4.48	16.0%	4.1%	166	+0.54	3.50	221	84
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	82
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
Fabian Blanco L 2017 · 4.28 FIP	19	SU	4.28	18.8%	9.9%	2.8%	.368	4.05	16.9%	1.3%	74	-0.23	3.57	215	79
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	79
Jonathan Hennigan L 2017 · 4.08 FIP	22	SU	4.08	22.0%	13.6%	2.0%	.341	3.57	17.5%	5.8%	119	-0.51	3.46	265	79
Keylan Killgore L 2019 · 4.23 FIP	22	SU	4.23	20.7%	12.7%	2.3%	.307	—	—	—	—	—	3.73	161	78
Harry Gustin L 2024 · 3.91 FIP	22	SU	3.91	20.7%	11.0%	2.1%	.331	4.33	22.9%	12.7%	109	+0.42	3.70	152	78
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
Evan Taylor L 2022 · 4.31 FIP	22	SU	4.31	28.1%	16.5%	2.7%	.304	3.19	21.9%	10.0%	150	-1.12	3.09	225	76
Peter Bonilla L 2024 · 4.63 FIP	19	SU	4.63	20.9%	18.3%	1.8%	.250	6.24	19.5%	-5.4%	51	+1.61	4.27	134	76
Harold Melenge L 2021 · 4.55 FIP	19	SU	4.55	17.3%	12.7%	2.4%	.297	3.44	16.4%	10.2%	89	-1.11	2.69	238	76
James Ziemba L 2017 · 3.73 FIP	22	SU	3.73	18.3%	12.5%	1.1%	.309	5.16	11.7%	-0.7%	78	+1.43	3.73	110	75
Abdallah Aris L 2016 · 4.08 FIP	19	SU	4.08	18.0%	15.7%	0.9%	.264	3.63	22.4%	11.1%	37	-0.45	3.49	109	75
Adam Macko L 2019 · 3.88 FIP	18	SW	3.88	22.4%	14.6%	1.5%	.353	3.64	27.2%	12.4%	72	-0.24	3.40	406	75
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
Chase Watkins L 2022 · 3.75 FIP	22	SU	3.75	20.6%	11.8%	1.7%	.346	4.34	17.7%	9.0%	156	+0.59	3.30	232	74
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	74
Jake Higginbotham L 2018 · 5.15 FIP	22	SU	5.15	17.2%	10.6%	3.9%	.256	4.77	18.8%	6.4%	59	-0.38	3.28	335	74