Adrián Delgado

P FCL Orioles

Age 22 RHP 6'3" / 182 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	19	ROKDSL Orioles B…	16	20	6.86	5.03	23.7%	28.9%	—	K 16.1% · BB 36.1% · FIP 6.31
2025	20	ABAL	29	32	5.62	5.07	23.3%	23.3%	—	K 17.2% · BB 27.5% · FIP 6.12
2026	21	MIX2 levels	14	15	8.59	5.76	25.3%	32.5%	—	K 25.3% · BB 32.5% · FIP 5.08
2027PROJ	22	MLBBAL	16	17	5.87	5.87	20.8%	20.0%	-0.2
2028PROJ49% MLB	23	MLBBAL	14	15	5.49	5.35	21.8%	16.7%	-0.1

Next 2 projected WAR -0.4Projected 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) · Andrew Schultz (age 22) · Jackson Rose (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 145137vR 128

ERA5.87

FIP5.87

K%20.8%

BB%20.0%

K-BB%0.8%

Proj IP17

Value2027 · WAR

Runs saved vs league avg · 17 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	17	ROK MLE	DSL BAL Orange	11	0	11	62	10	23	0	0%	1.0	11.0%	46.4%	-35.4%	0.0%	7.94	8.05	—
2022	17	ROK RAW	DSL BAL Orange	11	0	11	62	10	23	0	0%	1.0	16.1%	37.1%	-21.0%	0.0%	7.94	7.42	—
2023	18	ROK MLE	DSL Orioles Black	13	0	20	84	18	21	2	0%	1.5	14.6%	31.2%	-16.7%	3.8%	4.50	7.92	—
2023	18	ROK RAW	DSL Orioles Black	13	0	20	84	18	21	2	0%	1.5	21.4%	25.0%	-3.6%	2.4%	4.50	5.75	—
2024	19	ROK MLE	DSL Orioles Black	16	0	20	97	23	28	0	0%	1.2	16.1%	36.1%	-20.0%	0.0%	6.86	6.31	—
2024	19	ROK MLE	DSL Orioles Black	16	0	20	97	23	28	0	0%	1.2	16.1%	36.1%	-20.0%	0.0%	6.86	6.31	—
2024	19	ROK RAW	DSL Orioles Black	16	0	20	97	23	28	0	0%	1.2	23.7%	28.9%	-5.2%	0.0%	6.86	5.03	—
2025	20	A MLE	Delmarva Shorebirds	29	0	32	159	37	37	2	0%	1.1	17.2%	27.5%	-10.2%	1.8%	5.62	6.12	—
2025	20	A MLE	Delmarva Shorebirds	29	0	32	159	37	37	2	0%	1.1	17.2%	27.5%	-10.2%	1.8%	5.62	6.12	—
2025	20	A RAW	Delmarva Shorebirds	29	0	32	159	37	37	2	0%	1.1	23.3%	23.3%	0.0%	1.3%	5.62	5.07	—
2026	21	MIX MLE	2 levels	14	0	15	83	21	27	0	0%	1.0	25.3%	32.5%	-7.2%	0.0%	8.59	5.08	—
2026	21	MIX MLE	2 levels	14	0	15	83	21	27	0	0%	1.0	25.3%	32.5%	-7.2%	0.0%	8.59	5.08	—
2026	21	MIX RAW	2 levels	14	0	15	83	21	27	0	0%	1.0	25.3%	32.5%	-7.2%	0.0%	8.59	5.76	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	BAL	16	0	17	72	15	14	2	0%	1.1	20.8%	20.0%	0.8%	2.9%	5.87	5.87	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	BAL	28	0	30	126	28	21	4	0%	1.1	21.8%	16.7%	5.1%	2.9%	5.49	5.35	-0.3
2028	23	MLB CTX	BAL	14	0	15	63	14	11	2	0%	1.1	21.8%	16.7%	5.1%	2.9%	5.49	5.35	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		14	0	15	62	14	10	2	0%	1.0	21.8%	16.7%	5.1%	2.9%	5.49	4.97	-0.1
/ 200 IP	—	RAW		190	0	200	844	190	136	27	0%	1.1	21.8%	16.7%	5.1%	2.9%	5.49	4.97	-1.0
Career	—	MLE		83	0	98	485	83	161	6	0%	1.2	17.1%	33.1%	-16.0%	1.3%	6.36	6.54	-0.3
/ 200 IP	—	MLE		170	0	200	993	170	329	12	0%	1.2	17.1%	33.1%	-16.0%	1.3%	6.36	6.54	-1.9

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
Adrián Delgado (OGILVIE)	—	—	5.87	20.8%	20.0%	2.9%	—	5.35	21.8%	5.1%	30	-0.52	—	—	—
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	93
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	91
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	90
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	89
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	89
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	89
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	89
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	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	88
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	87
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	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	86
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	86
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	487	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	86
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	85
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	85
Jonathan Teaney R 2018 · 4.77 FIP	22	SU	4.77	22.5%	19.8%	1.9%	.328	5.65	16.4%	0.7%	55	+0.88	4.77	108	85
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	85
Miguel Alfonseca R 2022 · 4.78 FIP	22	SU	4.78	20.1%	16.4%	2.4%	.354	5.73	11.6%	-3.8%	56	+0.95	4.19	123	85