Rafeli Moronta

P DSL Cardinals

Age 17 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	16	ROKSTL	12	1	26	11.92	6.14	23.8%	21.8%	—	K 16.2% · BB 27.2% · FIP 7.27
2027PROJ	17	MLBSTL	14	0	15	5.93	5.93	20.7%	20.0%	-0.2
2028PROJ49% MLB	18	MLBSTL	11	0	12	5.57	5.44	21.4%	16.8%	-0.1

Next 2 projected WAR -0.3Projected 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%

CompsWill Kobos (age 20) · Anthony Cruz (age 19) · Jonney Rosario (age 17)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 146138vR 130

ERA5.93

FIP5.93

K%20.7%

BB%20.0%

K-BB%0.7%

Proj IP15

Value2027 · WAR

Runs saved vs league avg · 15 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	16	ROK MLE	DSL Cardinals	12	1	26	147	35	32	4	8%	2.1	16.2%	27.2%	-11.0%	3.8%	11.92	7.27	—
2026	16	ROK MLE	DSL Cardinals	12	1	26	147	35	32	4	8%	2.1	16.2%	27.2%	-11.0%	3.8%	11.92	7.27	—
2026	16	ROK RAW	DSL Cardinals	12	1	26	147	35	32	4	8%	2.1	23.8%	21.8%	2.0%	2.7%	11.92	6.14	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	17	MLB	STL	14	0	15	63	13	13	2	0%	1.1	20.7%	20.0%	0.7%	3.0%	5.93	5.93	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	18	MLB MLE	STL	23	0	24	103	22	17	3	0%	1.1	21.4%	16.8%	4.6%	3.0%	5.57	5.44	-0.2
2028	18	MLB CTX	STL	11	0	12	51	11	9	2	0%	1.1	21.4%	16.8%	4.6%	3.0%	5.57	5.44	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		11	0	12	50	11	8	1	0%	1.1	21.4%	16.8%	4.6%	3.0%	5.57	5.06	-0.1
/ 200 IP	—	RAW		190	0	200	844	184	134	17	0%	1.1	21.4%	16.8%	4.6%	3.0%	5.57	5.06	-1.2
Career	—	MLE		12	1	26	147	24	40	6	8%	2.1	16.2%	27.2%	-11.0%	3.8%	11.92	7.27	-0.2
/ 200 IP	—	MLE		94	8	200	1145	185	312	44	8%	2.1	16.2%	27.2%	-11.0%	3.8%	11.92	7.27	-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
Rafeli Moronta (OGILVIE)	—	—	5.93	20.7%	20.0%	3.0%	—	5.44	21.4%	4.6%	24	-0.49	—	—	—
Will Kobos R 2018 · 5.58 FIP	20	SW	5.58	19.3%	16.0%	3.8%	.313	3.46	26.6%	11.6%	76	-2.12	2.44	139	83
Anthony Cruz R 2022 · 5.38 FIP	19	SW	5.38	16.7%	16.6%	2.9%	.237	4.19	18.2%	5.6%	180	-1.19	3.32	272	83
Jonney Rosario R 2021 · 6.43 FIP	17	SU	6.43	17.8%	17.4%	4.8%	.338	4.30	16.9%	6.5%	85	-2.13	4.23	110	81
Over Galue R 2021 · 5.01 FIP	20	SW	5.01	17.5%	17.0%	2.2%	.346	4.16	18.2%	3.6%	94	-0.85	4.16	122	81
Jonathan Jimenez R 2023 · 5.41 FIP	19	SU	5.41	16.4%	16.2%	3.0%	.333	5.09	14.1%	2.2%	178	-0.32	3.49	189	81
Brendan Hardy R 2018 · 5.18 FIP	18	SU	5.18	17.0%	19.7%	1.8%	.227	6.99	15.9%	-17.2%	25	+1.81	2.54	137	80
Pedro Peralta R 2023 · 6.77 FIP	17	SU	6.77	15.3%	22.9%	3.8%	.300	6.07	14.3%	-7.4%	106	-0.70	5.13	121	79
Elison Joseph R 2021 · 5.31 FIP	20	SU	5.31	17.4%	19.2%	2.3%	.254	4.55	23.5%	6.8%	133	-0.76	3.32	217	79
Angel Peralta R 2024 · 6.70 FIP	17	SW	6.70	19.0%	29.7%	2.6%	.200	4.28	15.9%	2.0%	84	-2.42	3.81	107	79
Rodolfo Sanchez R 2017 · 5.15 FIP	17	SU	5.15	16.5%	13.8%	3.1%	.271	3.59	16.5%	10.8%	66	-1.56	3.59	255	79
Alexis Paulino R 2022 · 5.30 FIP	19	SU	5.30	16.9%	21.2%	1.7%	.384	4.94	17.6%	-5.1%	73	-0.36	4.39	102	78
Juan Arnaud R 2022 · 6.33 FIP	19	SU	6.33	14.6%	23.7%	2.7%	.330	4.40	18.8%	1.6%	102	-1.93	3.43	184	78
Elvis Jerez R 2019 · 6.39 FIP	19	SU	6.39	14.2%	22.8%	2.9%	.292	3.52	27.9%	8.0%	50	-2.87	3.13	109	78
Jesus Colina R 2023 · 5.30 FIP	18	SU	5.30	15.3%	15.2%	2.9%	.265	4.00	17.2%	7.6%	103	-1.30	3.82	128	78
Carlos Campos R 2018 · 5.37 FIP	17	SU	5.37	16.2%	18.6%	2.3%	.380	5.12	15.5%	5.3%	80	-0.25	4.82	134	78
Kendeglys Virguez R 2022 · 5.34 FIP	18	SU	5.34	17.7%	20.7%	2.1%	.359	4.93	18.5%	4.0%	79	-0.41	4.10	142	78
Adrian Rodriguez R 2021 · 6.92 FIP	20	SU	6.92	23.1%	34.0%	2.7%	.368	5.46	23.1%	-1.6%	93	-1.46	2.43	148	77
Daniel Lloyd R 2021 · 5.40 FIP	20	SU	5.40	20.4%	22.4%	2.2%	.367	4.15	18.0%	8.5%	226	-1.25	3.59	319	77
Luis A. Reyes R 2022 · 4.89 FIP	18	SW	4.89	17.7%	14.5%	2.6%	.422	6.15	14.4%	-12.8%	81	+1.26	4.89	123	77
Edwin Núñez R 2021 · 6.60 FIP	19	SU	6.60	15.2%	22.9%	3.4%	.343	4.73	16.4%	0.7%	170	-1.87	4.31	288	76