Ricardo Montilla

P DSL Royals Fortuna

Age 20 RHP 6'1" / 160 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	18	ROKDSL Royals Fo…	11	2	28	4.45	3.81	15.3%	12.1%	—	K 10.4% · BB 15.1% · FIP 4.80
2026	19	ROKDSL Royals Fo…	9	0	16	0.55	3.77	11.9%	13.4%	—	K 8.1% · BB 16.8% · FIP 4.54
2027PROJ	20	MLB—	11	0	12	5.30	5.30	18.6%	14.2%	-0.1
2028PROJ49% MLB	21	MLB—	12	0	13	5.06	4.97	19.8%	12.5%	-0.1

Next 2 projected WAR -0.2Projected 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%

CompsJoangel Gonzalez (age 20) · Drew Pestka (age 20) · Tyler Smith (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 134126vR 118

ERA5.30

FIP5.30

K%18.6%

BB%14.2%

K-BB%4.4%

Proj IP12

Value2027 · WAR

Runs saved vs league avg · 12 IP

Grades · Contract

Scouting Grades

K†4545

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	18	ROK MLE	DSL Royals Fortuna	11	2	28	124	19	15	1	18%	2.6	10.4%	15.1%	-4.7%	1.2%	4.45	4.80	—
2025	18	ROK MLE	DSL Royals Fortuna	11	2	28	124	19	15	1	18%	2.6	10.4%	15.1%	-4.7%	1.2%	4.45	4.80	—
2025	18	ROK RAW	DSL Royals Fortuna	11	2	28	124	19	15	1	18%	2.6	15.3%	12.1%	3.2%	0.8%	4.45	3.81	—
2026	19	ROK MLE	DSL Royals Fortuna	9	0	16	67	8	9	0	0%	1.8	8.1%	16.8%	-8.7%	0.0%	0.55	4.54	—
2026	19	ROK MLE	DSL Royals Fortuna	9	0	16	67	8	9	0	0%	1.8	8.1%	16.8%	-8.7%	0.0%	0.55	4.54	—
2026	19	ROK RAW	DSL Royals Fortuna	9	0	16	67	8	9	0	0%	1.8	11.9%	13.4%	-1.5%	0.0%	0.55	3.77	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	—	11	0	12	51	9	7	1	0%	1.1	18.6%	14.2%	4.4%	2.9%	5.30	5.30	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	—	26	0	27	113	22	14	3	0%	1.0	19.8%	12.5%	7.3%	2.9%	5.06	4.97	-0.1
2028	21	MLB CTX	—	12	0	13	55	11	7	2	0%	1.1	19.8%	12.5%	7.3%	2.9%	5.06	4.97	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		13	0	13	56	11	7	2	0%	1.0	19.8%	12.5%	7.3%	2.9%	5.06	4.59	-0.0
/ 200 IP	—	RAW		190	0	200	844	167	106	30	0%	1.1	19.8%	12.5%	7.3%	2.9%	5.06	4.59	-0.1
Career	—	MLE		20	2	45	191	18	30	1	10%	2.2	9.6%	15.7%	-6.1%	0.8%	3.02	4.71	-0.1
/ 200 IP	—	MLE		90	9	200	855	82	134	7	10%	2.2	9.6%	15.7%	-6.1%	0.8%	3.02	4.71	-1.0

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
Ricardo Montilla (OGILVIE)	—	—	5.30	18.6%	14.2%	2.9%	—	4.97	19.8%	7.3%	27	-0.33	—	—	—
Joangel Gonzalez R 2024 · 4.23 FIP	20	SU	4.23	18.3%	11.7%	2.1%	.312	5.15	18.3%	2.5%	116	+0.92	3.93	151	87
Drew Pestka R 2024 · 4.26 FIP	20	SU	4.26	19.0%	15.1%	1.6%	.298	4.55	18.1%	0.7%	83	+0.29	3.42	100	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	85
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	85
Michael Perez R 2024 · 5.44 FIP	21	SU	5.44	18.3%	16.1%	3.4%	.296	4.65	23.4%	7.7%	132	-0.79	4.38	153	85
Devon Fisher R 2016 · 4.39 FIP	20	SU	4.39	16.5%	12.5%	2.0%	.333	5.76	15.1%	0.9%	88	+1.37	4.39	102	85
Tommy DeJuneas R 2017 · 4.72 FIP	21	SU	4.72	19.1%	15.5%	2.3%	.357	4.59	20.8%	4.9%	100	-0.13	3.93	178	85
Brayan Cabello R 2024 · 5.24 FIP	20	SU	5.24	16.1%	12.4%	3.5%	.262	4.19	11.6%	-0.1%	65	-1.05	3.82	152	84
Junior Rincon R 2015 · 4.93 FIP	23	SU	4.93	17.8%	13.8%	2.9%	.318	3.75	17.6%	5.1%	82	-1.18	3.52	113	84
Adam Ravenelle R 2015 · 4.32 FIP	22	SU	4.32	19.6%	14.8%	1.8%	.322	5.06	17.1%	4.3%	130	+0.74	4.32	165	84
Rolddy Muñoz R 2021 · 4.32 FIP	21	SU	4.32	21.4%	13.7%	2.4%	.342	3.54	21.1%	9.8%	149	-0.78	3.18	290	84
Alejandro Méndez R 2021 · 5.70 FIP	20	SU	5.70	14.6%	14.5%	3.6%	.321	5.60	15.8%	-7.5%	91	-0.10	4.65	136	83
Paul Gervase R 2022 · 4.91 FIP	22	SU	4.91	20.3%	16.2%	2.7%	.345	3.76	29.3%	16.0%	152	-1.15	3.38	211	83
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	83
Alexander Martinez R 2017 · 4.40 FIP	20	SU	4.40	17.1%	12.4%	2.1%	.337	3.35	21.3%	13.0%	87	-1.05	3.06	170	83
Kevin Camacho R 2024 · 4.84 FIP	19	SU	4.84	15.3%	12.9%	2.5%	.271	4.71	19.2%	0.8%	68	-0.13	4.12	113	83
Justin Kelly R 2021 · 5.93 FIP	22	SU	5.93	15.5%	14.3%	4.2%	.259	4.93	15.4%	6.8%	149	-1.00	3.17	196	83
Orlando Romero R 2017 · 4.53 FIP	20	SU	4.53	19.4%	14.8%	2.2%	.294	4.66	18.5%	6.7%	62	+0.13	3.92	162	83
Hayden Snelsire R 2024 · 5.10 FIP	23	SU	5.10	18.9%	13.8%	3.4%	.272	4.28	20.0%	13.7%	135	-0.82	3.83	178	83
Jake Bird R 2018 · 4.59 FIP	22	SU	4.59	17.7%	13.0%	2.4%	.254	3.65	16.1%	4.9%	156	-0.94	3.06	525	83