Maximin Medina

P FCL Nationals

Age 19 RHP ROK peak 0.3 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	18	ROKWSH	7	6	23	3.86	2.03	23.2%	7.1%	—	K 15.8% · BB 8.8% · FIP 2.89
2027PROJ	19	MLBWSH	3	3	14	4.42	4.42	21.2%	9.0%	0.1
2028PROJ49% MLB	20	MLBWSH	2	2	11	4.35	4.31	21.9%	8.7%	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 3, comp-based) · star 1% · didn't stick 89%

CompsLuis Arejula (age 19) · Juan Bello (age 18) · Kyle Glogoski (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 117109vR 101

ERA4.42

FIP4.42

K%21.2%

BB%9.0%

K-BB%12.3%

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)
2026	18	ROK MLE	FCL Nationals	7	6	23	99	23	7	0	86%	3.3	15.8%	8.8%	7.0%	0.0%	3.86	2.89	—
2026	18	ROK MLE	FCL Nationals	7	6	23	99	23	7	0	86%	3.3	15.8%	8.8%	7.0%	0.0%	3.86	2.89	—
2026	18	ROK RAW	FCL Nationals	7	6	23	99	23	7	0	86%	3.3	23.2%	7.1%	16.2%	0.0%	3.86	2.03	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	WSH	3	3	14	59	13	5	2	100%	4.7	21.2%	9.0%	12.3%	2.9%	4.42	4.42	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	WSH	4	4	22	93	20	8	3	100%	5.5	21.9%	8.7%	13.2%	2.9%	4.35	4.31	+0.2
2028	20	MLB CTX	WSH	2	2	11	46	10	4	1	100%	5.5	21.9%	8.7%	13.2%	2.9%	4.35	4.31	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		2	2	11	46	10	4	1	100%	5.4	21.9%	8.7%	13.2%	2.9%	4.35	3.93	+0.1
/ 200 IP	—	RAW		43	43	200	844	184	74	18	100%	4.6	21.9%	8.7%	13.2%	2.9%	4.35	3.93	+2.3
Career	—	MLE		7	6	23	99	16	9	0	86%	3.3	15.8%	8.8%	7.0%	0.0%	3.86	2.89	+0.2
/ 200 IP	—	MLE		60	51	200	849	134	75	0	86%	3.3	15.8%	8.8%	7.0%	0.0%	3.86	2.89	+1.4

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
Maximin Medina (OGILVIE)	—	—	4.42	21.2%	9.0%	2.9%	—	4.31	21.9%	13.2%	22	-0.11	—	—	—
Luis Arejula R 2021 · 3.52 FIP	19	SP	3.52	21.9%	8.7%	2.1%	.318	4.46	15.7%	3.5%	71	+0.94	3.52	115	87
Juan Bello R 2022 · 4.02 FIP	18	SP	4.02	18.3%	6.9%	2.9%	.256	3.93	18.2%	7.6%	155	-0.09	3.77	187	86
Kyle Glogoski R 2018 · 3.46 FIP	19	SP-	3.46	19.9%	8.5%	1.7%	.277	3.92	20.6%	9.1%	93	+0.46	3.32	206	85
Jose Montero R 2022 · 3.72 FIP	19	SP	3.72	20.8%	7.9%	2.5%	.377	4.03	15.8%	4.6%	234	+0.31	3.72	375	84
Gabe Bierman R 2021 · 4.80 FIP	21	SP-	4.80	21.3%	11.8%	3.6%	.277	4.51	16.2%	4.0%	187	-0.29	4.03	328	83
Edwin Jimenez R 2021 · 4.03 FIP	19	SP-	4.03	19.3%	8.9%	2.6%	.330	4.79	16.5%	8.0%	277	+0.76	4.03	406	83
Jordany Ventura R 2019 · 4.08 FIP	19	SP	4.08	16.8%	8.9%	2.3%	.264	—	—	—	—	—	4.08	219	83
Moises Castillo R 2024 · 4.58 FIP	19	SP-	4.58	18.1%	11.7%	2.8%	.269	4.06	19.4%	4.9%	67	-0.52	3.76	104	82
Logan Gragg R 2019 · 4.14 FIP	20	SP	4.14	17.4%	9.5%	2.4%	.343	5.20	15.2%	8.2%	202	+1.06	4.14	412	82
Andry Rondon R 2015 · 3.46 FIP	19	SP	3.46	19.8%	8.2%	1.8%	.283	3.98	15.6%	1.1%	49	+0.52	3.26	105	82
Yorman Gómez R 2022 · 3.36 FIP	19	SP	3.36	18.7%	6.2%	1.9%	.311	3.88	18.0%	6.7%	346	+0.52	3.18	494	81
Carlos Jimenez R 2021 · 4.08 FIP	19	SP-	4.08	20.6%	12.9%	2.0%	.274	5.21	20.4%	-0.0%	141	+1.13	4.07	257	80
Marco Raya R 2022 · 4.77 FIP	19	SP	4.77	21.4%	10.3%	4.0%	.250	4.42	19.8%	8.6%	254	-0.35	3.99	383	80
Chad Donato R 2017 · 3.85 FIP	22	SP-	3.85	20.9%	11.4%	2.0%	.333	3.99	21.4%	12.6%	184	+0.14	2.89	439	80
Felix Arronde R 2022 · 4.74 FIP	19	SP	4.74	20.7%	9.9%	3.9%	.371	4.23	16.7%	7.3%	278	-0.51	4.16	442	80
Miguel Díaz R 2015 · 3.40 FIP	20	SP-	3.40	19.3%	7.7%	1.7%	.365	4.40	19.4%	8.2%	233	+1.00	2.11	573	79
Chris Clark R 2023 · 3.29 FIP	21	SP	3.29	18.9%	6.9%	1.7%	.362	4.79	18.2%	7.5%	333	+1.50	3.29	353	79
Dario Gardea R 2018 · 3.46 FIP	19	SP-	3.46	18.6%	8.7%	1.5%	.250	3.45	19.5%	12.4%	50	-0.01	3.12	205	79
José López R 2015 · 4.04 FIP	21	SP	4.04	19.1%	9.9%	2.3%	.329	3.77	17.9%	9.9%	436	-0.27	3.12	543	79
Randry De Leon R 2024 · 4.49 FIP	19	SP	4.49	18.0%	11.5%	2.6%	.284	5.01	18.6%	1.6%	80	+0.52	4.37	153	79