Yordy Magdariaga

P DSL Tigers 2

Age 21 RHP 6'0" / 175 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	19	ROKDSL Phillies …	14	1	25	7.20	2.78	19.2%	10.8%	—	K 13.1% · BB 13.5% · FIP 3.70
2026	20	ROKDSL Tigers 2	19	0	26	5.13	4.77	15.3%	15.3%	—	K 10.4% · BB 19.1% · FIP 5.94
2027PROJ	21	MLB—	14	0	15	5.50	5.50	18.3%	15.4%	-0.2
2028PROJ49% MLB	22	MLB—	11	0	12	5.18	5.04	20.1%	13.3%	-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%

CompsMichael Perez (age 21) · Tyler Smith (age 22) · Tommy DeJuneas (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 138129vR 121

ERA5.50

FIP5.50

K%18.3%

BB%15.4%

K-BB%2.8%

Proj IP15

Value2027 · WAR

Runs saved vs league avg · 15 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 + 2027 so far)
2025	19	ROK MLE	DSL Phillies White	14	1	25	130	25	14	0	7%	1.8	13.1%	13.5%	-0.4%	0.0%	7.20	3.70	—
2025	19	ROK MLE	DSL Phillies White	14	1	25	130	25	14	0	7%	1.8	13.1%	13.5%	-0.4%	0.0%	7.20	3.70	—
2025	19	ROK RAW	DSL Phillies White	14	1	25	130	25	14	0	7%	1.8	19.2%	10.8%	8.5%	0.0%	7.20	2.78	—
2026	20	ROK MLE	DSL Tigers 2	19	0	26	118	18	18	2	0%	1.4	10.4%	19.1%	-8.7%	2.4%	5.13	5.94	—
2026	20	ROK MLE	DSL Tigers 2	19	0	26	118	18	18	2	0%	1.4	10.4%	19.1%	-8.7%	2.4%	5.13	5.94	—
2026	20	ROK RAW	DSL Tigers 2	19	0	26	118	18	18	2	0%	1.4	15.3%	15.3%	0.0%	1.7%	5.13	4.77	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	21	MLB	—	14	0	15	63	12	10	2	0%	1.1	18.3%	15.4%	2.8%	2.9%	5.50	5.50	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	22	MLB MLE	—	24	0	25	105	21	14	3	0%	1.0	20.1%	13.3%	6.8%	2.9%	5.18	5.04	-0.1
2028	22	MLB CTX	—	11	0	12	51	10	7	1	0%	1.1	20.1%	13.3%	6.8%	2.9%	5.18	5.04	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		12	0	12	52	10	7	1	0%	1.0	20.1%	13.3%	6.8%	2.9%	5.18	4.66	-0.0
/ 200 IP	—	RAW		190	0	200	844	163	114	16	0%	1.1	20.1%	13.3%	6.8%	2.9%	5.18	4.66	-0.3
Career	—	MLE		33	1	51	248	29	40	3	3%	1.6	11.8%	16.1%	-4.3%	1.1%	6.14	4.77	-0.1
/ 200 IP	—	MLE		129	4	200	966	114	156	11	3%	1.6	11.8%	16.1%	-4.3%	1.1%	6.14	4.77	-1.1

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
Yordy Magdariaga (OGILVIE)	—	—	5.50	18.3%	15.4%	2.9%	—	5.04	20.1%	6.8%	25	-0.46	—	—	—
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	94
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	91
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	89
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	89
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	89
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	88
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	88
Tim Naughton R 2017 · 4.53 FIP	21	SU	4.53	17.9%	15.6%	1.8%	.312	3.58	20.7%	6.4%	83	-0.95	2.93	305	88
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	88
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	87
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
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	86
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	86
Jason Ruffcorn R 2021 · 4.74 FIP	23	SU	4.74	16.6%	14.2%	2.3%	.297	4.69	17.6%	4.2%	136	-0.05	4.01	283	86
Zack Hess R 2019 · 5.00 FIP	22	SU	5.00	18.1%	13.1%	3.2%	.232	5.47	22.9%	6.3%	50	+0.47	5.00	101	86
Stefan Raeth R 2023 · 4.62 FIP	22	SU	4.62	18.0%	15.4%	2.0%	.309	4.73	17.5%	8.3%	124	+0.11	4.51	173	86
Brooks Crawford R 2019 · 4.78 FIP	22	SU	4.78	14.9%	13.7%	2.2%	.262	3.56	22.1%	14.5%	103	-1.22	2.50	296	86
Devon Fisher R 2016 · 4.39 FIP	20	SU	4.39	16.5%	12.5%	2.0%	.333	5.76	15.1%	0.9%	88	+1.37	4.39	102	86
Carson Hobbs R 2024 · 5.63 FIP	22	SU	5.63	18.9%	13.6%	4.4%	.303	3.97	22.0%	10.4%	118	-1.66	3.54	143	85
Jake Bird R 2018 · 4.59 FIP	22	SU	4.59	17.7%	13.0%	2.4%	.254	3.65	16.1%	4.9%	156	-0.94	3.06	525	85