Yan Mago

P ACL D-backs

Age 23 RHP 6'0" / 160 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	21	ROKDSL Arizona R…	17	19	6.52	7.13	14.9%	22.8%	—	K 10.1% · BB 28.5% · FIP 7.89
2026	22	ROKARI	9	10	6.10	3.39	20.5%	15.9%	—	K 20.5% · BB 15.9% · FIP 3.39
2027PROJ	23	MLBARI	11	12	5.77	5.77	21.2%	19.1%	-0.2
2028PROJ43% MLB	24	MLBARI	9	9	5.44	5.31	21.9%	16.2%	-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%

CompsHudson Leach (age 22) · James Acuna (age 23) · Carlos Contreras (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 143135vR 126

ERA5.77

FIP5.77

K%21.2%

BB%19.1%

K-BB%2.0%

Proj IP12

Value2027 · WAR

Runs saved vs league avg · 12 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)
2022	18	ROK MLE	DSL D-backs Red	12	6	27	134	28	35	3	50%	2.3	14.2%	32.6%	-18.4%	3.1%	7.90	7.76	—
2022	18	ROK RAW	DSL D-backs Red	12	6	27	134	28	35	3	50%	2.3	20.9%	26.1%	-5.2%	2.2%	7.90	6.32	—
2025	21	ROK MLE	DSL Arizona Red	17	0	19	101	15	23	3	0%	1.1	10.1%	28.5%	-18.4%	3.7%	6.52	7.89	—
2025	21	ROK MLE	DSL Arizona Red	17	0	19	101	15	23	3	0%	1.1	10.1%	28.5%	-18.4%	3.7%	6.52	7.89	—
2025	21	ROK RAW	DSL Arizona Red	17	0	19	101	15	23	3	0%	1.1	14.9%	22.8%	-7.9%	3.0%	6.52	7.13	—
2026	22	ROK MLE	ACL D-backs	9	0	10	44	9	7	0	0%	1.1	20.5%	15.9%	4.5%	0.0%	6.10	3.39	—
2026	22	ROK MLE	ACL D-backs	9	0	10	44	9	7	0	0%	1.1	20.5%	15.9%	4.5%	0.0%	6.10	3.39	—
2026	22	ROK RAW	ACL D-backs	9	0	10	44	9	7	0	0%	1.1	20.5%	15.9%	4.5%	0.0%	6.10	3.39	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	ARI	11	0	12	51	11	10	2	0%	1.1	21.2%	19.1%	2.0%	3.0%	5.77	5.77	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	ARI	19	0	20	84	19	14	3	0%	1.1	21.9%	16.2%	5.8%	3.0%	5.44	5.31	-0.2
2028	24	MLB CTX	ARI	9	0	9	38	8	6	1	0%	1.0	21.9%	16.2%	5.8%	3.0%	5.44	5.31	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		8	0	9	36	8	6	1	0%	1.1	21.9%	16.2%	5.8%	3.0%	5.44	4.93	-0.0
/ 200 IP	—	RAW		190	0	200	844	187	140	23	0%	1.1	21.9%	16.2%	5.8%	3.0%	5.44	4.93	-0.9
Career	—	MLE		38	6	57	279	38	80	8	16%	1.5	13.7%	28.5%	-14.8%	2.8%	7.11	7.12	-0.2
/ 200 IP	—	MLE		133	21	200	979	134	279	28	16%	1.5	13.7%	28.5%	-14.8%	2.8%	7.11	7.12	-1.8

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
Yan Mago (OGILVIE)	—	—	5.77	21.2%	19.1%	3.0%	—	5.31	21.9%	5.8%	20	-0.46	—	—	—
Hudson Leach R 2024 · 5.37 FIP	22	SU	5.37	20.5%	20.0%	2.7%	.261	4.54	20.9%	3.1%	71	-0.83	2.77	101	87
James Acuna R 2021 · 5.12 FIP	23	SU	5.12	21.3%	17.0%	3.0%	.302	4.33	19.4%	4.6%	60	-0.79	4.33	107	87
Carlos Contreras R 2014 · 4.77 FIP	23	SU	4.77	20.2%	18.1%	2.0%	.304	4.35	18.4%	5.0%	107	-0.42	4.29	127	86
Andrew Schultz R 2019 · 5.25 FIP	22	SU	5.25	20.9%	17.8%	3.0%	.345	4.59	23.0%	4.7%	45	-0.66	3.56	176	86
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	86
Morgan McSweeney R 2021 · 5.36 FIP	23	SU	5.36	21.9%	16.3%	3.7%	.295	5.15	18.5%	5.3%	93	-0.21	3.20	213	85
Christian Ruebeck R 2024 · 6.03 FIP	23	SU	6.03	20.6%	24.4%	2.9%	.265	4.57	21.6%	1.9%	70	-1.46	4.35	104	84
Jackson Rose R 2018 · 5.32 FIP	22	SU	5.32	17.3%	17.2%	2.8%	.267	4.77	23.5%	16.5%	56	-0.55	3.33	147	84
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	84
Kasey Ford R 2021 · 4.89 FIP	23	SU	4.89	20.3%	14.5%	3.0%	.310	4.26	21.9%	5.8%	98	-0.63	2.53	114	84
Zane Russell R 2024 · 4.95 FIP	24	SU	4.95	22.7%	18.3%	2.6%	.314	5.36	18.2%	6.7%	71	+0.41	4.63	108	83
Konnor Ash R 2022 · 4.57 FIP	23	SU	4.57	22.2%	17.0%	2.2%	.340	3.56	22.4%	8.7%	87	-1.01	2.11	127	83
Saul Teran R 2024 · 5.21 FIP	22	SU	5.21	22.4%	18.8%	2.9%	.279	4.40	20.1%	10.7%	84	-0.81	2.28	166	83
Jordan Brink R 2016 · 5.96 FIP	23	SW	5.96	18.3%	19.2%	3.6%	.233	—	—	—	—	—	3.99	132	83
Tyler Davis R 2024 · 6.02 FIP	25	SU	6.02	21.0%	18.8%	4.2%	.317	3.78	21.9%	10.2%	111	-2.24	3.20	137	83
Roberto Espinosa R 2015 · 4.92 FIP	23	SU	4.92	18.9%	18.6%	1.9%	.273	4.43	14.8%	2.2%	77	-0.49	4.32	117	82
Franklyn German R 2003 · 5.17 FIP	23	SU	5.17	18.5%	18.9%	2.2%	.313	5.27	13.1%	0.1%	86	+0.10	3.37	152	82
Junior Rincon R 2015 · 4.93 FIP	23	SU	4.93	17.8%	13.8%	2.9%	.318	3.75	17.6%	5.1%	82	-1.18	3.52	113	82
Willian Suarez R 2021 · 5.23 FIP	23	SU	5.23	20.4%	17.3%	3.0%	.329	5.13	25.4%	9.5%	128	-0.10	3.99	219	82
Hunter Parsons R 2021 · 5.38 FIP	24	SU	5.38	21.4%	15.3%	3.9%	.247	4.78	21.8%	10.2%	115	-0.60	4.73	183	82