Yan Mago — OGILVIE

Yan Mago P ACL D-backs

Age 22 RHP 6'0" / 160 lbs ROK

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 11 proj IP

wRC+ AGAINSTvL 153145vR 137

ERA6.31

FIP6.31

K%19.6%

BB%22.3%

K-BB%-2.7%

ROS IP12

Value2026 · WAR

Runs saved vs league avg · 11 IP

Grades · Contract

Scouting Grades

K†4550

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)
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 season
YTD	22	ROK MLE	ACL D-backs	9	0	10	44	9	7	0	0%	1.1	—	—	—	—	6.10	—	—
YTD	22	ROK MLE	ACL D-backs	9	0	10	44	9	7	0	0%	1.1	—	—	—	—	6.10	—	—
▸ 2026 season — so far · projected rest · full
2026	22	ROK RAW	ARI	9	0	10	44	9	7	0	0%	1.1	20.5%	15.9%	4.5%	0.0%	6.10	3.39	—
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	23	MLB MLE	ARI	19	0	20	84	18	16	3	0%	1.1	20.9%	18.4%	2.4%	3.0%	5.85	5.68	-0.2
2027	23	MLB CTX	ARI	10	0	10	42	9	8	1	0%	1.0	20.9%	18.4%	2.4%	3.0%	5.85	5.68	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	9	8	1	0%	1.1	20.9%	18.4%	2.4%	3.0%	5.85	5.30	-0.1
/ 200 IP	—	RAW		190	0	200	844	183	163	20	0%	1.1	20.9%	18.4%	2.4%	3.0%	5.85	5.30	-1.8
Career	—	MLE		38	6	57	279	38	80	8	16%	1.5	13.7%	28.5%	-14.8%	2.8%	7.11	7.12	-0.3
/ 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	-2.6

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)	—	—	6.31	19.6%	22.3%	3.0%	—	5.68	20.9%	2.4%	20	-0.63	—	—	—
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	89
Tommy McCollum R 2021 · 6.21 FIP	22	SU	6.21	17.1%	27.2%	2.0%	.235	3.80	26.4%	10.9%	112	-2.41	2.90	219	85
Marcus Crescentini R 2015 · 5.80 FIP	22	SU	5.80	21.8%	21.9%	3.2%	.365	3.95	23.3%	11.6%	123	-1.85	2.74	150	85
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	3.10	167	85
Jace Beck R 2022 · 6.24 FIP	22	SU	6.24	19.2%	23.6%	3.2%	.205	4.33	27.6%	8.3%	76	-1.91	4.03	211	84
Bryce McGowan R 2022 · 5.90 FIP	22	SU	5.90	17.0%	22.9%	2.4%	.368	4.36	20.6%	6.6%	145	-1.54	3.71	178	84
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	84
Cory Thompson R 2017 · 5.42 FIP	22	SU	5.42	15.2%	15.7%	2.9%	.289	4.34	16.3%	10.6%	131	-1.08	3.59	218	84
Jairo Beras R 2017 · 6.07 FIP	22	SU	6.07	16.4%	16.9%	4.0%	.237	4.35	20.7%	4.5%	96	-1.72	3.48	110	84
Greg Weissert R 2016 · 5.22 FIP	21	SU	5.22	19.4%	19.3%	2.4%	.382	3.80	23.0%	10.3%	126	-1.42	2.57	481	84
Fabian Anguamea R 2016 · 5.11 FIP	22	SU	5.11	16.6%	15.2%	2.7%	.295	4.53	15.8%	1.8%	96	-0.58	3.99	164	83
Brett Hanewich R 2017 · 5.18 FIP	22	SU	5.18	15.9%	17.6%	2.2%	.372	4.32	20.3%	2.8%	108	-0.86	4.24	134	83
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	83
Zach Barnes R 2022 · 5.35 FIP	23	SU	5.35	18.2%	22.0%	1.8%	.378	5.03	14.9%	1.5%	119	-0.32	4.90	145	83
Danny Dopico R 2016 · 5.58 FIP	22	SU	5.58	18.3%	22.6%	2.1%	.309	3.19	23.9%	11.2%	189	-2.39	3.00	318	82
Madison Jeffrey R 2022 · 5.47 FIP	22	SU	5.47	19.9%	25.3%	1.5%	.252	5.08	17.6%	-9.7%	107	-0.39	4.65	168	82
Walker Brockhouse R 2021 · 6.65 FIP	22	SU	6.65	20.2%	19.7%	5.0%	.265	4.69	19.3%	3.2%	111	-1.96	4.24	126	82
Nick Kuzia R 2017 · 5.18 FIP	21	SU	5.18	16.5%	15.2%	2.8%	.361	5.35	17.6%	6.6%	60	+0.17	4.54	231	82
Jordan Brink R 2016 · 5.96 FIP	23	SW	5.96	18.3%	19.2%	3.6%	.233	—	—	—	—	—	3.99	132	81
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	81