Jesus Delgado

P DSL Athletics

Age 21 RHP 6'2" / 190 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	19	ROKOAK	12	7	34	3.41	3.74	17.9%	11.0%	—	K 12.2% · BB 13.8% · FIP 5.04
2026	20	ROKOAK	10	0	16	4.02	1.82	28.4%	9.0%	—	K 19.3% · BB 11.2% · FIP 2.89
2027PROJ	21	MLBOAK	12	0	13	4.83	4.83	20.6%	11.7%	-0.0
2028PROJ49% MLB	22	MLBOAK	15	0	16	4.64	4.55	21.8%	10.5%	0.0

Next 2 projected WAR -0.0Projected 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%

CompsKyle Zurak (age 22) · Joangel Gonzalez (age 20) · Todd Peterson (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 125117vR 109

ERA4.83

FIP4.83

K%20.6%

BB%11.7%

K-BB%8.9%

Proj IP13

Value2027 · WAR

Runs saved vs league avg · 13 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)
2025	19	ROK MLE	DSL Athletics	12	7	34	145	26	16	2	58%	2.9	12.2%	13.8%	-1.6%	2.2%	3.41	5.04	—
2025	19	ROK MLE	DSL Athletics	12	7	34	145	26	16	2	58%	2.9	12.2%	13.8%	-1.6%	2.2%	3.41	5.04	—
2025	19	ROK RAW	DSL Athletics	12	7	34	145	26	16	2	58%	2.9	17.9%	11.0%	6.9%	1.4%	3.41	3.74	—
2026	20	ROK MLE	DSL Athletics	10	0	16	67	19	6	0	0%	1.6	19.3%	11.2%	8.1%	0.0%	4.02	2.89	—
2026	20	ROK MLE	DSL Athletics	10	0	16	67	19	6	0	0%	1.6	19.3%	11.2%	8.1%	0.0%	4.02	2.89	—
2026	20	ROK RAW	DSL Athletics	10	0	16	67	19	6	0	0%	1.6	28.4%	9.0%	19.4%	0.0%	4.02	1.82	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	21	MLB	OAK	12	0	13	55	11	6	2	0%	1.1	20.6%	11.7%	8.9%	2.9%	4.83	4.83	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	22	MLB MLE	OAK	31	0	32	137	30	14	4	0%	1.0	21.8%	10.5%	11.3%	2.9%	4.64	4.55	0.0
2028	22	MLB CTX	OAK	15	0	16	68	15	7	2	0%	1.1	21.8%	10.5%	11.3%	2.9%	4.64	4.55	0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		15	0	16	67	15	7	2	0%	1.1	21.8%	10.5%	11.3%	2.9%	4.64	4.17	+0.1
/ 200 IP	—	RAW		190	0	200	844	188	88	25	0%	1.1	21.8%	10.5%	11.3%	2.9%	4.64	4.17	+0.9
Career	—	MLE		22	7	50	212	31	28	3	32%	2.3	14.4%	13.0%	1.5%	1.5%	3.60	4.36	0.0
/ 200 IP	—	MLE		88	28	200	848	122	110	13	32%	2.3	14.4%	13.0%	1.5%	1.5%	3.60	4.36	0.0

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
Jesus Delgado (OGILVIE)	—	—	4.83	20.6%	11.7%	2.9%	—	4.55	21.8%	11.3%	32	-0.28	—	—	—
Kyle Zurak R 2017 · 3.96 FIP	22	SU	3.96	21.2%	9.4%	2.6%	.302	3.42	16.7%	7.5%	121	-0.54	3.20	181	85
Joangel Gonzalez R 2024 · 4.23 FIP	20	SU	4.23	18.3%	11.7%	2.1%	.312	5.15	18.3%	2.5%	116	+0.92	3.93	151	83
Todd Peterson R 2021 · 5.11 FIP	23	SW	5.11	18.4%	10.3%	4.1%	.279	4.83	15.0%	4.3%	124	-0.28	4.45	175	83
Juan Mendez R 2021 · 4.45 FIP	22	SW	4.45	20.5%	14.2%	2.3%	.271	5.07	21.9%	6.1%	128	+0.62	3.69	156	82
Brandon Komar R 2019 · 4.77 FIP	20	SW	4.77	17.7%	11.6%	3.1%	.327	4.93	16.7%	5.7%	198	+0.16	3.00	538	82
Tanner Cooper R 2021 · 4.71 FIP	21	SW	4.71	17.1%	14.1%	2.3%	.338	5.15	14.4%	6.7%	121	+0.44	4.51	148	82
Brandon Beckel R 2024 · 3.75 FIP	22	SU	3.75	19.4%	10.3%	1.8%	.250	4.23	19.5%	10.5%	147	+0.48	3.75	194	82
Rolddy Muñoz R 2021 · 4.32 FIP	21	SU	4.32	21.4%	13.7%	2.4%	.342	3.54	21.1%	9.8%	149	-0.78	3.18	290	82
Luis F. Castillo R 2016 · 4.51 FIP	21	SU	4.51	16.7%	10.5%	2.7%	.337	3.50	19.7%	12.3%	96	-1.01	2.95	254	81
Alec Barger R 2021 · 4.55 FIP	23	SW	4.55	21.7%	13.6%	2.8%	.289	4.17	21.3%	9.4%	148	-0.38	3.85	242	81
Zac Ryan R 2017 · 3.83 FIP	23	SU	3.83	20.5%	10.9%	2.0%	.233	3.93	21.6%	6.9%	124	+0.10	3.83	184	81
Luis Romero R 2017 · 5.00 FIP	23	SU	5.00	22.1%	11.9%	4.1%	.367	4.26	21.6%	12.5%	132	-0.74	4.00	293	81
Josnier Parra R 2023 · 4.56 FIP	21	SU	4.56	15.9%	9.8%	2.9%	.319	5.01	12.1%	2.9%	118	+0.45	3.76	150	81
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	81
Justin Lasko R 2019 · 3.66 FIP	22	SU	3.66	17.1%	8.6%	1.7%	.286	4.62	15.8%	8.1%	152	+0.96	3.66	173	80
William Kempner R 2023 · 4.02 FIP	22	SU	4.02	21.5%	12.2%	2.2%	.277	3.17	28.8%	15.2%	112	-0.85	3.14	173	80
Tyler Santana R 2021 · 4.28 FIP	23	SU	4.28	20.3%	15.1%	1.8%	.333	4.37	16.0%	5.7%	259	+0.09	3.37	401	80
Cody Palmquist R 2016 · 4.31 FIP	22	SU	4.31	21.9%	9.0%	3.5%	.278	6.02	14.7%	7.1%	62	+1.71	4.31	104	80
Reiss Knehr R 2018 · 4.29 FIP	21	SU	4.29	21.3%	12.3%	2.6%	.267	4.86	18.8%	7.2%	171	+0.57	3.36	398	79
Jeremy Beasley R 2017 · 4.71 FIP	21	SU	4.71	19.5%	11.6%	3.3%	.273	4.10	17.7%	8.7%	234	-0.61	3.17	337	79