Ronald Medrano — OGILVIE

Ronald Medrano P Northwest Arkansas Naturals

Age 30 RHP 6'0" / 170 lbs AA peak 0.2 · 2026

2026 ROS PROJECTION0 act + 1 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 118110vR 102

ERA4.49

FIP4.49

K%21.1%

BB%9.0%

K-BB%12.1%

ROS IP1

Value2026 · WAR

Runs saved vs league avg · 1 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 + 2026 so far)
2015	19	ROK MLE	GCL Cardinals	17	7	64	268	43	14	1	41%	3.8	10.9%	6.5%	4.4%	0.5%	2.53	3.29	—
2015	19	ROK RAW	GCL Cardinals	17	7	64	268	43	14	1	41%	3.8	16.0%	5.2%	10.8%	0.4%	2.53	2.62	—
2023	27	MIX MLE	2 levels	11	7	36	160	34	13	3	64%	3.3	15.7%	8.7%	7.0%	3.0%	5.25	4.51	—
2023	27	MIX MLE	2 levels	11	7	36	160	34	13	3	64%	3.3	15.7%	8.7%	7.0%	3.0%	5.25	4.51	—
2023	27	MIX RAW	2 levels	11	7	36	160	34	13	3	64%	3.3	21.2%	8.1%	13.1%	1.9%	5.25	3.38	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	30	MLB	KC	1	1	1	4	1	0	0	100%	1.0	21.1%	9.0%	12.1%	3.0%	4.49	4.49	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	KC	3	3	20	84	18	8	3	100%	6.7	21.0%	9.4%	11.6%	3.2%	4.59	4.67	+0.1
2027	31	MLB CTX	KC	1	1	6	25	5	2	1	100%	6.0	21.0%	9.4%	11.6%	3.2%	4.59	4.67	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		1	1	6	26	6	2	1	100%	6.3	21.0%	9.4%	11.6%	3.2%	4.59	4.29	+0.0
/ 200 IP	—	RAW		28	28	200	844	192	64	32	100%	7.1	21.0%	9.4%	11.6%	3.2%	4.59	4.29	+1.4
Career	—	MLE		28	14	100	428	54	31	6	50%	3.6	12.7%	7.3%	5.4%	1.4%	3.51	3.75	+0.1
/ 200 IP	—	MLE		56	28	200	856	109	63	12	50%	3.6	12.7%	7.3%	5.4%	1.4%	3.51	3.75	+0.5

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
Ronald Medrano (OGILVIE)	—	—	4.49	21.1%	9.0%	3.0%	—	4.67	21.0%	11.6%	20	+0.18	—	—	—
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	74
Esmil Rogers R 2015 · 3.51 FIP	29	SW	3.51	18.5%	8.9%	1.6%	.348	2.86	21.7%	17.9%	40	-0.65	2.86	199	71
Edgar Alberto Garcia R 2017 · 4.01 FIP	29	SP-	4.01	17.3%	10.9%	1.8%	.305	—	—	—	—	—	4.01	272	68
Jorge Martinez R 2016 · 3.53 FIP	31	SP-	3.53	12.9%	5.3%	1.6%	.266	3.71	16.5%	11.5%	154	+0.18	3.53	214	68
Fabio Castillo R 2017 · 3.98 FIP	28	SP-	3.98	20.9%	8.8%	2.8%	.291	—	—	—	—	—	3.13	195	68
Carlos Frías R 2019 · 4.42 FIP	29	SP-	4.42	16.9%	11.1%	2.4%	.369	—	—	—	—	—	3.58	204	67
Justin Masterson R 2015 · 4.10 FIP	30	SP-	4.10	18.2%	10.5%	2.2%	.307	3.73	17.3%	6.4%	196	-0.37	3.50	269	66
Bud Norris R 2015 · 4.68 FIP	30	SW	4.68	18.8%	8.2%	3.9%	.327	3.78	24.2%	15.5%	233	-0.90	3.51	316	66
Steve Johnson R 2017 · 4.53 FIP	29	SW	4.53	20.3%	8.9%	3.7%	.321	—	—	—	—	—	2.22	152	65
Yoanner Negrin R 2015 · 3.79 FIP	31	SW	3.79	15.1%	7.5%	1.9%	.256	3.29	15.0%	8.5%	270	-0.50	3.15	485	64
Hector Noesí R 2015 · 4.37 FIP	28	SP-	4.37	17.6%	8.1%	3.2%	.261	—	—	—	—	—	4.37	250	63
Josh Zeid R 2017 · 5.35 FIP	30	SW	5.35	18.3%	10.8%	4.4%	.334	—	—	—	—	—	4.12	265	63
Chris Mazza R 2020 · 3.94 FIP	30	SP-	3.94	21.3%	11.0%	2.3%	.348	3.95	21.4%	13.5%	111	+0.01	3.29	563	63
David Hale R 2018 · 4.22 FIP	30	SP-	4.22	15.4%	7.5%	2.7%	.299	3.65	17.1%	11.3%	114	-0.57	3.30	493	63
Paul Clemens R 2017 · 4.72 FIP	29	SW	4.72	14.9%	11.0%	2.7%	.264	—	—	—	—	—	4.58	247	62
Eder Llamas R 2016 · 4.12 FIP	30	SW	4.12	11.4%	6.8%	2.0%	.301	3.23	11.3%	4.6%	64	-0.89	3.23	171	62
Michael Mariot R 2019 · 5.01 FIP	30	SP	5.01	19.8%	11.1%	4.0%	.333	5.03	15.8%	7.4%	182	+0.02	2.40	676	62
Tim Dillard R 2015 · 3.58 FIP	32	SW	3.58	15.9%	7.7%	1.5%	.330	3.85	16.7%	8.1%	144	+0.27	3.13	352	62
Yohan Pino R 2015 · 4.13 FIP	31	SP-	4.13	17.8%	5.8%	3.3%	.312	5.33	15.2%	11.6%	35	+1.20	4.13	133	62
Matt Cain R 2015 · 4.88 FIP	30	SP-	4.88	17.1%	6.8%	4.3%	.296	4.87	15.2%	7.6%	214	-0.01	4.82	294	62