Argenis Done

P DSL Royals Fortuna

Age 19 RHP 6'3" / 160 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	17	ROKDSL Royals Fo…	11	3	23	6.35	4.34	14.0%	17.5%	—	K 9.5% · BB 21.9% · FIP 5.07
2026	18	ROKDSL Royals Fo…	4	0	6	1.50	3.93	7.4%	11.1%	—	K 7.4% · BB 11.1% · FIP 3.88
2027PROJ	19	MLB—	13	0	14	5.39	5.39	20.8%	16.1%	-0.1
2028PROJ49% MLB	20	MLB—	10	0	11	5.13	5.03	21.5%	14.0%	-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%

CompsWill Kobos (age 20) · Denny Larrondo (age 19) · Raimon Gomez (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 136127vR 119

ERA5.39

FIP5.39

K%20.8%

BB%16.1%

K-BB%4.7%

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)
2025	17	ROK MLE	DSL Royals Fortuna	11	3	23	114	16	20	0	27%	2.1	9.5%	21.9%	-12.4%	0.0%	6.35	5.07	—
2025	17	ROK MLE	DSL Royals Fortuna	11	3	23	114	16	20	0	27%	2.1	9.5%	21.9%	-12.4%	0.0%	6.35	5.07	—
2025	17	ROK RAW	DSL Royals Fortuna	11	3	23	114	16	20	0	27%	2.1	14.0%	17.5%	-3.5%	0.0%	6.35	4.34	—
2026	18	ROK MLE	DSL Royals Fortuna	4	0	6	27	2	3	0	0%	1.5	7.4%	11.1%	-3.7%	0.0%	1.50	3.88	—
2026	18	ROK MLE	DSL Royals Fortuna	4	0	6	27	2	3	0	0%	1.5	7.4%	11.1%	-3.7%	0.0%	1.50	3.88	—
2026	18	ROK RAW	DSL Royals Fortuna	4	0	6	27	2	3	0	0%	1.5	7.4%	11.1%	-3.7%	0.0%	1.50	3.93	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	—	13	0	14	59	12	10	2	0%	1.1	20.8%	16.1%	4.7%	3.0%	5.39	5.39	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	—	20	0	21	90	19	13	3	0%	1.1	21.5%	14.0%	7.5%	2.9%	5.13	5.03	-0.1
2028	20	MLB CTX	—	10	0	11	46	10	7	1	0%	1.1	21.5%	14.0%	7.5%	2.9%	5.13	5.03	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		10	0	11	44	10	6	1	0%	1.1	21.5%	14.0%	7.5%	2.9%	5.13	4.65	-0.0
/ 200 IP	—	RAW		190	0	200	844	190	114	19	0%	1.1	21.5%	14.0%	7.5%	2.9%	5.13	4.65	-0.2
Career	—	MLE		15	3	29	141	13	28	0	20%	1.9	9.1%	19.9%	-10.7%	0.0%	5.34	4.84	-0.1
/ 200 IP	—	MLE		105	21	200	984	90	195	0	20%	1.9	9.1%	19.9%	-10.7%	0.0%	5.34	4.84	-1.1

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
Argenis Done (OGILVIE)	—	—	5.39	20.8%	16.1%	3.0%	—	5.03	21.5%	7.5%	21	-0.36	—	—	—
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	88
Denny Larrondo R 2021 · 4.77 FIP	19	SW	4.77	22.7%	17.5%	2.5%	.293	5.26	18.1%	-0.4%	155	+0.49	4.48	293	86
Raimon Gomez R 2021 · 4.90 FIP	19	SW	4.90	17.3%	13.6%	2.8%	.265	3.28	19.5%	8.0%	48	-1.62	3.28	103	84
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	84
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	83
Efrailin Ramos R 2024 · 4.31 FIP	18	SU	4.31	21.0%	15.7%	1.8%	.284	3.35	17.0%	6.4%	106	-0.96	3.11	142	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
Michael Brewer R 2021 · 4.30 FIP	20	SU	4.30	23.7%	16.2%	2.1%	.303	4.69	19.7%	6.3%	114	+0.39	3.14	144	83
Alejandro Lugo R 2021 · 4.91 FIP	18	SU	4.91	20.4%	16.7%	2.6%	.265	4.96	16.7%	3.1%	98	+0.05	3.77	159	83
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	82
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	82
Carlos De Los Santos R 2019 · 5.68 FIP	18	SU	5.68	16.9%	16.0%	3.6%	.286	3.95	20.9%	3.2%	86	-1.73	3.67	173	82
Kevin Rodriguez R 2019 · 4.37 FIP	18	SU	4.37	17.4%	12.8%	2.0%	.279	4.14	16.7%	7.6%	41	-0.23	2.34	188	82
Doimil Perez R 2023 · 5.95 FIP	19	SU	5.95	17.8%	14.7%	4.5%	.322	5.36	16.6%	-2.0%	47	-0.59	3.32	139	82
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	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	81
Luigi Hernandez R 2022 · 4.28 FIP	18	SW	4.28	23.9%	18.6%	1.5%	.348	5.00	17.9%	-5.3%	57	+0.72	4.28	109	81
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	81
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	81
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	81