Argenis Granado

P DSL Rangers Red

Age 20 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	19	ROKDSL Rangers R…	11	28	8.68	4.99	21.4%	14.5%	—	K 14.5% · BB 18.1% · FIP 6.29
2027PROJ	20	MLB—	16	17	5.46	5.46	20.2%	15.9%	-0.2
2028PROJ49% MLB	21	MLB—	12	13	5.19	5.09	21.0%	13.8%	-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%

CompsAlix Hernandez (age 20) · Will Kobos (age 20) · José Mesa Jr. (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 137129vR 121

ERA5.46

FIP5.46

K%20.2%

BB%15.9%

K-BB%4.3%

Proj IP17

Value2027 · WAR

Runs saved vs league avg · 17 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)
2026	19	ROK MLE	DSL Rangers Red	11	0	28	145	31	21	4	0%	2.5	14.5%	18.1%	-3.6%	3.9%	8.68	6.29	—
2026	19	ROK MLE	DSL Rangers Red	11	0	28	145	31	21	4	0%	2.5	14.5%	18.1%	-3.6%	3.9%	8.68	6.29	—
2026	19	ROK RAW	DSL Rangers Red	11	0	28	145	31	21	4	0%	2.5	21.4%	14.5%	6.9%	2.8%	8.68	4.99	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	—	16	0	17	72	14	11	2	0%	1.1	20.2%	15.9%	4.3%	3.0%	5.46	5.46	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	—	25	0	26	112	23	15	3	0%	1.1	21.0%	13.8%	7.2%	3.0%	5.19	5.09	-0.2
2028	21	MLB CTX	—	12	0	13	55	12	8	2	0%	1.1	21.0%	13.8%	7.2%	3.0%	5.19	5.09	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		12	0	13	55	12	8	2	0%	1.1	21.0%	13.8%	7.2%	3.0%	5.19	4.71	-0.0
/ 200 IP	—	RAW		190	0	200	844	184	123	31	0%	1.1	21.0%	13.8%	7.2%	3.0%	5.19	4.71	-0.4
Career	—	MLE		11	0	28	145	21	26	6	0%	2.5	14.5%	18.1%	-3.6%	3.9%	8.68	6.29	-0.2
/ 200 IP	—	MLE		79	0	200	1036	151	188	40	0%	2.5	14.5%	18.1%	-3.6%	3.9%	8.68	6.29	-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
Argenis Granado (OGILVIE)	—	—	5.46	20.2%	15.9%	3.0%	—	5.09	21.0%	7.2%	26	-0.37	—	—	—
Alix Hernandez R 2024 · 4.44 FIP	20	SU	4.44	21.7%	13.7%	2.6%	.300	5.16	23.0%	11.4%	78	+0.72	3.55	170	83
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	82
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	82
Junior Sanchez R 2024 · 4.79 FIP	18	SU	4.79	17.1%	15.3%	2.2%	.356	4.53	18.7%	8.6%	219	-0.26	3.36	294	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
Marc Davis R 2022 · 5.26 FIP	22	SU	5.26	20.7%	14.0%	3.9%	.151	4.87	17.1%	-0.3%	88	-0.39	4.02	111	80
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	80
Anderson Munoz R 2019 · 4.80 FIP	20	SU	4.80	22.7%	16.4%	2.8%	.333	4.15	27.0%	16.4%	51	-0.65	4.15	109	79
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	79
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	79
Tyler Santana R 2021 · 4.28 FIP	23	SU	4.28	20.3%	15.1%	1.8%	.333	4.37	16.0%	5.7%	259	+0.09	3.37	401	79
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	79
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	79
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	78
Gilberto Lopez R 2024 · 4.69 FIP	20	SU	4.69	17.7%	16.7%	1.8%	.416	4.67	17.1%	6.7%	73	-0.02	3.58	105	78
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	78
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	78
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	78
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	78
Yunior Montero R 2015 · 4.82 FIP	22	SW	4.82	16.9%	14.1%	2.5%	.276	4.58	21.5%	6.2%	91	-0.24	3.65	127	78