Adan Moreno

P ACL Padres

Age 22 RHP 6'1" / 185 lbs ROK peak 0.2 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	19	ASD	1	0	2	0.00	2.50	22.2%	11.1%	—	K 22.2% · BB 11.1% · FIP 2.63
2025	20	ROKSD	8	6	15	6.46	4.34	20.0%	10.0%	—	K 13.6% · BB 12.5% · FIP 5.69
2027PROJ	22	MLBSD	2	2	9	4.60	4.60	22.2%	10.6%	0.0
2028PROJ49% MLB	23	MLBSD	2	2	10	4.47	4.40	23.1%	9.8%	0.1

Next 2 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsChad Donato (age 22) · Caleb Sampen (age 22) · Hunter Gregory (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 121112vR 104

ERA4.60

FIP4.60

K%22.2%

BB%10.6%

K-BB%11.6%

Proj IP9

Value2027 · WAR

Runs saved vs league avg · 9 IP

Grades · Contract

Scouting Grades

K†5555

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)
2023	18	ROK MLE	ACL Padres	13	10	43	197	34	20	2	77%	3.3	11.7%	12.7%	-1.0%	1.6%	4.19	4.57	—
2023	18	ROK RAW	ACL Padres	13	10	43	197	34	20	2	77%	3.3	17.3%	10.2%	7.1%	1.0%	4.19	3.52	—
2024	19	A MLE	Lake Elsinore Storm	1	0	2	9	2	1	0	0%	1.7	22.2%	11.1%	11.1%	0.0%	0.00	2.63	—
2024	19	A MLE	Lake Elsinore Storm	1	0	2	9	2	1	0	0%	1.7	22.2%	11.1%	11.1%	0.0%	0.00	2.63	—
2024	19	A RAW	Lake Elsinore Storm	1	0	2	9	2	1	0	0%	1.7	22.2%	11.1%	11.1%	0.0%	0.00	2.50	—
2025	20	ROK MLE	ACL Padres	8	6	15	70	14	7	2	75%	1.9	13.6%	12.5%	1.1%	3.9%	6.46	5.69	—
2025	20	ROK MLE	ACL Padres	8	6	15	70	14	7	2	75%	1.9	13.6%	12.5%	1.1%	3.9%	6.46	5.69	—
2025	20	ROK RAW	ACL Padres	8	6	15	70	14	7	2	75%	1.9	20.0%	10.0%	10.0%	2.9%	6.46	4.34	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	SD	2	2	9	38	8	4	1	100%	4.5	22.2%	10.6%	11.6%	3.0%	4.60	4.60	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	SD	4	4	20	84	19	8	3	100%	5.0	23.1%	9.8%	13.2%	3.0%	4.47	4.40	+0.1
2028	23	MLB CTX	SD	2	2	10	42	10	4	1	100%	5.0	23.1%	9.8%	13.2%	3.0%	4.47	4.40	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		2	2	10	42	10	4	1	100%	4.9	23.1%	9.8%	13.2%	3.0%	4.47	4.02	+0.1
/ 200 IP	—	RAW		37	37	200	844	203	81	20	100%	5.3	23.1%	9.8%	13.2%	3.0%	4.47	4.02	+2.1
Career	—	MLE		22	16	60	276	35	35	6	73%	2.7	12.6%	12.6%	-0.0%	2.1%	4.65	4.79	+0.1
/ 200 IP	—	MLE		73	53	200	920	115	116	19	73%	2.7	12.6%	12.6%	-0.0%	2.1%	4.65	4.79	+1.2

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
Adan Moreno (OGILVIE)	—	—	4.60	22.2%	10.6%	3.0%	—	4.40	23.1%	13.2%	20	-0.20	—	—	—
Chad Donato R 2017 · 3.85 FIP	22	SP-	3.85	20.9%	11.4%	2.0%	.333	3.99	21.4%	12.6%	184	+0.14	2.89	439	85
Caleb Sampen R 2018 · 3.46 FIP	22	SP	3.46	21.7%	8.3%	2.1%	.358	3.49	15.2%	6.8%	139	+0.03	3.09	213	81
Hunter Gregory R 2022 · 3.90 FIP	23	SP-	3.90	21.2%	8.7%	2.7%	.374	4.56	20.4%	7.9%	188	+0.66	3.84	249	81
Clarke Schmidt R 2018 · 3.53 FIP	22	SP	3.53	23.1%	8.5%	2.4%	.324	3.26	21.3%	13.1%	108	-0.27	2.77	537	81
Ray Gaither R 2022 · 4.85 FIP	24	SP-	4.85	21.9%	13.2%	3.5%	.314	4.34	18.3%	5.8%	123	-0.51	3.84	164	80
Ryan Atkinson R 2016 · 4.58 FIP	23	SP-	4.58	18.4%	11.3%	2.9%	.315	4.48	21.6%	9.0%	305	-0.10	4.14	338	80
Casey Legumina R 2021 · 4.08 FIP	24	SP-	4.08	23.3%	9.3%	3.2%	.260	4.33	20.2%	11.3%	189	+0.25	3.54	355	79
Colin Fields R 2023 · 3.62 FIP	23	SP-	3.62	20.5%	10.3%	1.7%	.246	3.86	22.0%	13.3%	208	+0.24	2.87	254	79
Jared Ruxer R 2015 · 4.16 FIP	23	SP-	4.16	17.3%	10.6%	2.1%	.333	4.29	14.9%	7.5%	240	+0.13	3.39	270	79
Ryan Jennings R 2023 · 3.43 FIP	24	SP-	3.43	23.4%	11.9%	1.5%	.316	4.31	22.9%	10.2%	109	+0.88	3.43	142	79
Andrew Quezada R 2021 · 4.40 FIP	24	SP-	4.40	18.1%	8.1%	3.3%	.312	4.86	14.6%	6.1%	291	+0.46	4.40	412	78
Miguelangel Boadas R 2024 · 3.55 FIP	21	SP-	3.55	20.6%	11.0%	1.4%	.319	—	—	—	—	—	2.64	129	77
Moises Castillo R 2024 · 4.58 FIP	19	SP-	4.58	18.1%	11.7%	2.8%	.269	4.06	19.4%	4.9%	67	-0.52	3.76	104	77
Tanner Hall R 2024 · 4.67 FIP	22	SP-	4.67	18.8%	11.2%	3.2%	.295	5.33	10.1%	-4.6%	72	+0.66	4.67	137	77
Michael Knorr R 2023 · 4.30 FIP	23	SP-	4.30	23.6%	11.1%	3.3%	.312	5.15	22.0%	9.5%	123	+0.85	4.30	181	76
River Ryan R 2022 · 3.69 FIP	23	SP	3.69	26.1%	12.2%	2.3%	.321	3.88	20.3%	9.2%	134	+0.19	2.44	223	76
Chris Campos R 2023 · 4.91 FIP	22	SP-	4.91	21.0%	11.8%	3.8%	.364	4.57	18.6%	11.6%	249	-0.34	4.54	318	76
Mac Sceroler R 2017 · 4.46 FIP	22	SP-	4.46	17.6%	11.8%	2.5%	.318	4.34	18.4%	10.3%	200	-0.12	3.95	275	76
Noah Denoyer R 2021 · 4.51 FIP	23	SP-	4.51	21.5%	12.1%	3.1%	.275	4.10	25.7%	15.7%	121	-0.41	3.26	181	76
Drew Rasmussen R 2019 · 3.64 FIP	24	SP-	3.64	24.6%	12.6%	1.9%	.312	3.21	22.7%	16.2%	237	-0.43	1.21	694	75