Rodrigo Ramirez

P DSL Blue Jays Red

Age 20 RHP 6'6" / 205 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	18	ROKDSL Blue Jays…	7	1	13	4.15	3.25	19.0%	13.8%	—	K 12.9% · BB 17.2% · FIP 4.19
2026	19	ROKDSL Blue Jays…	16	3	32	4.78	3.16	24.3%	10.3%	—	K 16.5% · BB 12.9% · FIP 4.47
2027PROJ	20	MLBTOR	14	0	15	4.97	4.97	20.4%	12.6%	-0.1
2028PROJ49% MLB	21	MLBTOR	14	0	15	4.80	4.72	21.1%	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.

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 99%

CompsJoangel Gonzalez (age 20) · Saul Teran (age 20) · Rolddy Muñoz (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 128119vR 111

ERA4.97

FIP4.97

K%20.4%

BB%12.6%

K-BB%7.8%

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)
2025	18	ROK MLE	DSL Blue Jays Blue	7	1	13	58	11	8	0	14%	1.9	12.9%	17.2%	-4.3%	0.0%	4.15	4.19	—
2025	18	ROK MLE	DSL Blue Jays Blue	7	1	13	58	11	8	0	14%	1.9	12.9%	17.2%	-4.3%	0.0%	4.15	4.19	—
2025	18	ROK RAW	DSL Blue Jays Blue	7	1	13	58	11	8	0	14%	1.9	19.0%	13.8%	5.2%	0.0%	4.15	3.25	—
2026	19	ROK MLE	DSL Blue Jays Red	16	3	32	136	33	14	2	19%	2.0	16.5%	12.9%	3.6%	2.1%	4.78	4.47	—
2026	19	ROK MLE	DSL Blue Jays Red	16	3	32	136	33	14	2	19%	2.0	16.5%	12.9%	3.6%	2.1%	4.78	4.47	—
2026	19	ROK RAW	DSL Blue Jays Red	16	3	32	136	33	14	2	19%	2.0	24.3%	10.3%	14.0%	1.5%	4.78	3.16	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	TOR	14	0	15	63	13	8	2	0%	1.1	20.4%	12.6%	7.8%	2.9%	4.97	4.97	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	TOR	29	0	30	128	27	15	4	0%	1.0	21.1%	11.4%	9.7%	2.9%	4.80	4.72	-0.1
2028	21	MLB CTX	TOR	14	0	15	63	13	7	2	0%	1.1	21.1%	11.4%	9.7%	2.9%	4.80	4.72	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		14	0	15	63	13	7	2	0%	1.1	21.1%	11.4%	9.7%	2.9%	4.80	4.34	+0.0
/ 200 IP	—	RAW		190	0	200	844	175	94	27	0%	1.1	21.1%	11.4%	9.7%	2.9%	4.80	4.34	+0.5
Career	—	MLE		23	4	45	194	30	28	3	17%	2.0	15.4%	14.2%	1.2%	1.4%	4.60	4.39	-0.1
/ 200 IP	—	MLE		102	18	200	862	133	122	12	17%	2.0	15.4%	14.2%	1.2%	1.4%	4.60	4.39	-0.4

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
Rodrigo Ramirez (OGILVIE)	—	—	4.97	20.4%	12.6%	2.9%	—	4.72	21.1%	9.7%	30	-0.25	—	—	—
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
Saul Teran R 2022 · 4.81 FIP	20	SW	4.81	17.5%	9.8%	3.5%	.333	3.88	20.8%	8.7%	94	-0.93	2.28	166	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
Joel Ibarra R 2022 · 4.08 FIP	20	SW	4.08	21.4%	13.8%	1.9%	.323	4.74	19.6%	-3.4%	86	+0.66	4.08	155	84
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
Carlos Campos R 2021 · 4.82 FIP	20	SU	4.82	20.4%	10.7%	3.8%	.304	5.85	15.3%	8.1%	19	+1.03	4.82	134	83
Tanner Cooper R 2021 · 4.71 FIP	21	SW	4.71	17.1%	14.1%	2.3%	.338	5.15	14.4%	6.7%	121	+0.44	4.51	148	82
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	82
Audry Lugo R 2019 · 4.05 FIP	20	SU	4.05	18.5%	11.4%	2.0%	.247	5.30	15.6%	-0.4%	77	+1.25	4.05	113	82
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	82
Brandon Komar R 2019 · 4.77 FIP	20	SW	4.77	17.7%	11.6%	3.1%	.327	4.93	16.7%	5.7%	198	+0.16	3.00	538	82
Josnier Parra R 2023 · 4.56 FIP	21	SU	4.56	15.9%	9.8%	2.9%	.319	5.01	12.1%	2.9%	118	+0.45	3.76	150	82
Kyle Zurak R 2017 · 3.96 FIP	22	SU	3.96	21.2%	9.4%	2.6%	.302	3.42	16.7%	7.5%	121	-0.54	3.20	181	82
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	82
Blake Workman R 2018 · 4.00 FIP	20	SU	4.00	18.9%	9.5%	2.4%	.307	3.98	23.8%	19.5%	105	-0.02	3.09	213	82
Reiss Knehr R 2018 · 4.29 FIP	21	SU	4.29	21.3%	12.3%	2.6%	.267	4.86	18.8%	7.2%	171	+0.57	3.36	398	82
Joan Ogando R 2024 · 3.98 FIP	20	SU	3.98	20.3%	14.9%	1.3%	.333	5.35	20.3%	-1.4%	132	+1.37	3.98	172	82
Johzan Oquendo R 2021 · 4.22 FIP	20	SW	4.22	18.4%	14.5%	1.5%	.294	3.65	23.5%	5.7%	113	-0.57	3.62	187	82
Chase Ingram R 2015 · 4.11 FIP	20	SU	4.11	23.2%	15.8%	1.8%	.244	4.14	15.8%	3.0%	154	+0.03	4.04	174	81
Logan Lombana R 2015 · 4.63 FIP	21	SU	4.63	16.9%	10.0%	3.1%	.315	4.02	15.7%	8.1%	123	-0.61	3.80	155	81