Gregori Ramirez

P ACL D-backs

Age 22 RHP 6'3" / 170 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	18	ROKDSL Arizona R…	16	0	21	6.53	4.16	22.4%	22.4%	—	K 15.3% · BB 28.1% · FIP 5.37
2025	20	MIX2 levels	17	0	20	3.60	3.55	25.3%	15.4%	—	K 17.9% · BB 18.8% · FIP 3.97
2026	21	MIX2 levels	14	4	31	9.87	6.65	23.3%	22.1%	—	K 15.4% · BB 24.8% · FIP 7.67
2027PROJ	22	MLBARI	13	0	14	5.97	5.97	20.3%	20.0%	-0.2
2028PROJ49% MLB	23	MLBARI	13	0	14	5.58	5.44	21.4%	16.7%	-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 100%

CompsJordan Brink (age 23) · Michael Perez (age 21) · Hudson Leach (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 147138vR 130

ERA5.97

FIP5.97

K%20.3%

BB%20.0%

K-BB%0.3%

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)
2022	17	ROK MLE	DSL D-backs Red	4	4	7	33	2	7	2	100%	1.8	6.1%	21.2%	-15.2%	6.1%	4.91	8.60	—
2022	17	ROK RAW	DSL D-backs Red	4	4	7	33	2	7	2	100%	1.8	6.1%	21.2%	-15.2%	6.1%	4.91	8.96	—
2023	18	ROK MLE	DSL Arizona Red	16	0	21	98	22	22	0	0%	1.3	15.3%	28.1%	-12.8%	0.0%	6.53	5.37	—
2023	18	ROK RAW	DSL Arizona Red	16	0	21	98	22	22	0	0%	1.3	22.4%	22.4%	0.0%	0.0%	6.53	4.16	—
2025	20	MIX MLE	2 levels	17	0	20	91	23	14	1	0%	1.2	17.9%	18.8%	-0.9%	0.0%	3.60	3.97	—
2025	20	MIX MLE	2 levels	17	0	20	91	23	14	1	0%	1.2	17.9%	18.8%	-0.9%	0.0%	3.60	3.97	—
2025	20	MIX RAW	2 levels	17	0	20	91	23	14	1	0%	1.2	25.3%	15.4%	9.9%	1.1%	3.60	3.55	—
2026	21	MIX MLE	2 levels	14	4	31	163	38	36	6	29%	2.2	15.4%	24.8%	-9.4%	5.0%	9.87	7.67	—
2026	21	MIX MLE	2 levels	14	4	31	163	38	36	6	29%	2.2	15.4%	24.8%	-9.4%	5.0%	9.87	7.67	—
2026	21	MIX RAW	2 levels	14	4	31	163	38	36	6	29%	2.2	23.3%	22.1%	1.2%	3.7%	9.87	6.65	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	ARI	13	0	14	59	12	12	2	0%	1.1	20.3%	20.0%	0.3%	3.0%	5.97	5.97	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	ARI	28	0	29	122	26	20	4	0%	1.0	21.4%	16.7%	4.7%	3.0%	5.58	5.44	-0.3
2028	23	MLB CTX	ARI	13	0	14	59	13	10	2	0%	1.1	21.4%	16.7%	4.7%	3.0%	5.58	5.44	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		14	0	14	60	13	10	2	0%	1.0	21.4%	16.7%	4.7%	3.0%	5.58	5.06	-0.1
/ 200 IP	—	RAW		190	0	200	844	183	141	28	0%	1.1	21.4%	16.7%	4.7%	3.0%	5.58	5.06	-1.2
Career	—	MLE		51	8	79	385	58	92	10	16%	1.5	15.2%	23.9%	-8.7%	2.6%	6.95	6.29	-0.3
/ 200 IP	—	MLE		129	20	200	975	148	233	26	16%	1.5	15.2%	23.9%	-8.7%	2.6%	6.95	6.29	-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
Gregori Ramirez (OGILVIE)	—	—	5.97	20.3%	20.0%	3.0%	—	5.44	21.4%	4.7%	29	-0.53	—	—	—
Jordan Brink R 2016 · 5.96 FIP	23	SW	5.96	18.3%	19.2%	3.6%	.233	—	—	—	—	—	3.99	132	86
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	86
Hudson Leach R 2024 · 5.37 FIP	22	SU	5.37	20.5%	20.0%	2.7%	.261	4.54	20.9%	3.1%	71	-0.83	2.77	101	85
Will Varmette R 2024 · 5.06 FIP	21	SU	5.06	22.8%	19.3%	2.6%	.302	5.13	16.1%	2.3%	135	+0.07	4.69	182	84
James Acuna R 2021 · 5.12 FIP	23	SU	5.12	21.3%	17.0%	3.0%	.302	4.33	19.4%	4.6%	60	-0.79	4.33	107	84
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
Fabian Anguamea R 2016 · 5.11 FIP	22	SU	5.11	16.6%	15.2%	2.7%	.295	4.53	15.8%	1.8%	96	-0.58	3.99	164	83
Jackson Rose R 2018 · 5.32 FIP	22	SU	5.32	17.3%	17.2%	2.8%	.267	4.77	23.5%	16.5%	56	-0.55	3.33	147	82
Christian Ruebeck R 2024 · 6.03 FIP	23	SU	6.03	20.6%	24.4%	2.9%	.265	4.57	21.6%	1.9%	70	-1.46	4.35	104	82
Conor Grady R 2021 · 5.28 FIP	22	SU	5.28	17.2%	19.0%	2.2%	.242	4.62	16.9%	5.1%	96	-0.66	4.62	108	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
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	82
Marcus Crescentini R 2015 · 5.80 FIP	22	SU	5.80	21.8%	21.9%	3.2%	.365	3.95	23.3%	11.6%	123	-1.85	2.74	150	81
Andrew Schultz R 2019 · 5.25 FIP	22	SU	5.25	20.9%	17.8%	3.0%	.345	4.59	23.0%	4.7%	45	-0.66	3.56	176	81
Morgan McSweeney R 2021 · 5.36 FIP	23	SU	5.36	21.9%	16.3%	3.7%	.295	5.15	18.5%	5.3%	93	-0.21	3.20	213	81
Saul Teran R 2024 · 5.21 FIP	22	SU	5.21	22.4%	18.8%	2.9%	.279	4.40	20.1%	10.7%	84	-0.81	2.28	166	81
José Mesa Jr. R 2016 · 5.41 FIP	22	SU	5.41	22.4%	17.2%	3.7%	.311	4.00	22.8%	9.6%	113	-1.41	3.33	176	81
Audry Lugo R 2021 · 4.82 FIP	22	SU	4.82	17.6%	15.8%	2.2%	.333	5.76	13.7%	-2.6%	39	+0.94	4.05	113	81
Keegan Collett R 2019 · 5.05 FIP	21	SW	5.05	21.9%	24.6%	1.2%	.321	4.68	29.1%	9.0%	84	-0.37	3.93	184	81
Miguel Alfonseca R 2022 · 4.78 FIP	22	SU	4.78	20.1%	16.4%	2.4%	.354	5.73	11.6%	-3.8%	56	+0.95	4.19	123	81