Geremy Villoria

P FCL Twins

Age 18 RHP 6'2" / 175 lbs ROK peak 0.3 · 2028

Overview

ROKPROSPECT

Scout OFP50ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	16	ROKMIN	8	8	22	3.68	1.87	25.5%	7.4%	—	K 17.4% · BB 9.3% · FIP 2.81
2026	17	ROKMIN	6	0	7	0.00	2.96	17.9%	10.7%	—	K 17.9% · BB 10.7% · FIP 2.95
2027PROJ	18	MLBMIN	17	0	18	4.51	4.51	21.7%	9.8%	0.0
2028PROJ49% MLB	19	MLBMIN	10	0	10	4.42	4.37	22.2%	9.3%	0.0

Next 2 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff50Control40

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 91%

CompsAlimber Santa (age 18) · Saul Teran (age 20) · Wilmy Sanchez (age 18)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 119111vR 103

ERA4.51

FIP4.51

K%21.7%

BB%9.8%

K-BB%11.9%

Proj IP18

Value2027 · WAR

Runs saved vs league avg · 18 IP

Grades · Contract

Scouting Grades

OFP—50

STUF—50

CTRL—40

K†5055

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	16	ROK MLE	DSL Twins	8	8	22	94	24	7	0	100%	2.8	17.4%	9.3%	8.1%	0.0%	3.68	2.81	—
2025	16	ROK MLE	DSL Twins	8	8	22	94	24	7	0	100%	2.8	17.4%	9.3%	8.1%	0.0%	3.68	2.81	—
2025	16	ROK RAW	DSL Twins	8	8	22	94	24	7	0	100%	2.8	25.5%	7.4%	18.1%	0.0%	3.68	1.87	—
2026	17	ROK MLE	FCL Twins	6	0	7	28	5	3	0	0%	1.2	17.9%	10.7%	7.1%	0.0%	0.00	2.95	—
2026	17	ROK MLE	FCL Twins	6	0	7	28	5	3	0	0%	1.2	17.9%	10.7%	7.1%	0.0%	0.00	2.95	—
2026	17	ROK RAW	FCL Twins	6	0	7	28	5	3	0	0%	1.2	17.9%	10.7%	7.1%	0.0%	0.00	2.96	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	18	MLB	MIN	17	0	18	76	16	7	2	0%	1.1	21.7%	9.8%	11.9%	3.0%	4.51	4.51	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	19	MLB MLE	MIN	20	0	21	88	20	8	3	0%	1.0	22.2%	9.3%	13.0%	2.9%	4.42	4.37	+0.0
2028	19	MLB CTX	MIN	10	0	10	42	9	4	1	0%	1.0	22.2%	9.3%	13.0%	2.9%	4.42	4.37	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		10	0	10	43	10	4	1	0%	1.0	22.2%	9.3%	13.0%	2.9%	4.42	3.99	+0.1
/ 200 IP	—	RAW		190	0	200	844	196	78	20	0%	1.1	22.2%	9.3%	13.0%	2.9%	4.42	3.99	+1.3
Career	—	MLE		14	8	29	122	21	12	0	57%	2.1	17.5%	9.6%	7.8%	0.0%	2.79	2.84	+0.1
/ 200 IP	—	MLE		97	55	200	841	147	81	0	57%	2.1	17.5%	9.6%	7.8%	0.0%	2.79	2.84	+1.2

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
Geremy Villoria (OGILVIE)	—	—	4.51	21.7%	9.8%	3.0%	—	4.37	22.2%	13.0%	21	-0.14	—	—	—
Alimber Santa R 2021 · 4.85 FIP	18	SW	4.85	17.0%	11.4%	3.2%	.304	5.08	20.9%	1.8%	125	+0.23	3.30	277	81
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	79
Wilmy Sanchez R 2022 · 3.87 FIP	18	SW	3.87	23.0%	12.9%	1.9%	.316	4.24	21.5%	3.8%	148	+0.37	3.31	218	78
Leury Tejada R 2018 · 4.03 FIP	18	SW	4.03	16.5%	10.1%	1.9%	.286	5.06	17.4%	6.2%	39	+1.03	4.03	183	78
Luis Aguilar R 2023 · 4.45 FIP	19	SW	4.45	17.6%	10.3%	2.8%	.356	4.27	16.7%	6.7%	111	-0.18	3.51	146	78
Ricardo Brizuela R 2022 · 4.03 FIP	19	SW	4.03	20.1%	11.6%	2.1%	.375	4.39	16.0%	7.1%	208	+0.36	3.20	246	77
David Davalillo R 2023 · 3.33 FIP	20	SW	3.33	18.6%	6.8%	1.7%	.292	3.31	20.9%	12.4%	308	-0.02	2.96	325	77
Yorlin Calderon R 2019 · 4.90 FIP	17	SW	4.90	15.4%	8.3%	3.7%	.275	5.02	20.3%	13.1%	84	+0.12	3.43	287	77
Deretd Parra R 2019 · 5.29 FIP	19	SP-	5.29	16.8%	10.9%	4.1%	.295	3.85	15.7%	2.3%	83	-1.44	2.79	161	77
Luis Victorino R 2022 · 4.26 FIP	19	SP-	4.26	18.9%	12.8%	2.1%	.301	4.98	15.9%	-5.0%	84	+0.72	4.26	149	77
Heisell Baro R 2019 · 4.37 FIP	17	SP-	4.37	19.0%	11.9%	2.5%	.196	5.91	15.8%	-1.4%	61	+1.54	4.25	105	76
Fraynel Nova R 2022 · 3.83 FIP	20	SP-	3.83	16.4%	7.9%	2.0%	.296	4.17	14.9%	4.9%	110	+0.34	3.38	129	76
Anderson Cardenas R 2024 · 4.90 FIP	18	SW	4.90	19.5%	11.9%	3.5%	.235	3.52	22.2%	8.8%	58	-1.38	3.52	129	76
Michael Dominguez R 2019 · 3.82 FIP	18	SW	3.82	20.8%	13.2%	1.5%	.218	4.69	21.1%	10.6%	110	+0.87	3.82	383	75
Sean Paul Liñan R 2023 · 4.05 FIP	18	SP-	4.05	17.7%	8.3%	2.5%	.324	4.30	22.1%	10.2%	210	+0.25	3.29	272	75
Gerardo Salas R 2021 · 3.44 FIP	18	SW	3.44	15.8%	5.1%	1.9%	.250	4.06	17.6%	10.3%	219	+0.62	3.44	397	75
Carlos Espinosa R 2022 · 3.73 FIP	20	SW	3.73	17.0%	11.2%	1.2%	.260	4.52	22.0%	9.8%	177	+0.79	3.73	274	74
Wuilliams Rodriguez R 2024 · 3.76 FIP	18	SW	3.76	16.3%	11.0%	1.2%	.277	5.39	14.3%	3.9%	120	+1.63	3.76	187	74
Huei-Sheng Lin R 2019 · 4.59 FIP	20	SW	4.59	17.4%	7.4%	3.7%	.360	5.64	16.1%	3.7%	88	+1.05	4.59	120	74
Dawil Almonte R 2022 · 3.59 FIP	20	SW	3.59	17.4%	7.8%	1.8%	.271	4.54	14.7%	3.3%	97	+0.95	3.59	138	74