Albert Feliz

P DSL LAD Mega

Age 21 RHP 6'4" / 175 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	19	ROKDSL LAD Bauti…	14	16	13.78	6.96	22.1%	30.8%	—	K 15.0% · BB 38.5% · FIP 7.39
2026	20	ROKDSL LAD Mega	17	22	9.27	2.38	34.7%	18.6%	—	K 23.6% · BB 23.3% · FIP 4.06
2027PROJ	21	MLBLAD	11	12	5.70	5.70	22.4%	20.0%	-0.2
2028PROJ49% MLB	22	MLBLAD	10	10	5.32	5.16	23.4%	16.6%	-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 98%

CompsJordy Luciano (age 21) · Hudson Leach (age 22) · Andrew Schultz (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 141133vR 125

ERA5.70

FIP5.70

K%22.4%

BB%20.0%

K-BB%2.4%

Proj IP12

Value2027 · WAR

Runs saved vs league avg · 12 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)
2025	19	ROK MLE	DSL LAD Bautista	14	0	16	104	23	32	1	0%	1.2	15.0%	38.5%	-23.4%	1.3%	13.78	7.39	—
2025	19	ROK MLE	DSL LAD Bautista	14	0	16	104	23	32	1	0%	1.2	15.0%	38.5%	-23.4%	1.3%	13.78	7.39	—
2025	19	ROK RAW	DSL LAD Bautista	14	0	16	104	23	32	1	0%	1.2	22.1%	30.8%	-8.7%	1.0%	13.78	6.96	—
2026	20	ROK MLE	DSL LAD Mega	17	0	22	118	41	22	0	0%	1.3	23.6%	23.3%	0.3%	0.0%	9.27	4.06	—
2026	20	ROK MLE	DSL LAD Mega	17	0	22	118	41	22	0	0%	1.3	23.6%	23.3%	0.3%	0.0%	9.27	4.06	—
2026	20	ROK RAW	DSL LAD Mega	17	0	22	118	41	22	0	0%	1.3	34.7%	18.6%	16.1%	0.0%	9.27	2.38	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	21	MLB	LAD	11	0	12	51	11	10	1	0%	1.1	22.4%	20.0%	2.4%	2.9%	5.70	5.70	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	22	MLB MLE	LAD	20	0	21	89	21	15	3	0%	1.1	23.4%	16.6%	6.8%	2.8%	5.32	5.16	-0.1
2028	22	MLB CTX	LAD	10	0	10	42	10	7	1	0%	1.0	23.4%	16.6%	6.8%	2.8%	5.32	5.16	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		10	0	10	44	10	7	1	0%	1.0	23.4%	16.6%	6.8%	2.8%	5.32	4.78	-0.0
/ 200 IP	—	RAW		190	0	200	844	193	135	19	0%	1.1	23.4%	16.6%	6.8%	2.8%	5.32	4.78	-0.5
Career	—	MLE		31	0	39	222	44	68	1	0%	1.2	19.6%	30.4%	-10.8%	0.6%	11.17	5.62	-0.2
/ 200 IP	—	MLE		160	0	200	1148	225	349	7	0%	1.2	19.6%	30.4%	-10.8%	0.6%	11.17	5.62	-1.4

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
Albert Feliz (OGILVIE)	—	—	5.70	22.4%	20.0%	2.9%	—	5.16	23.4%	6.8%	21	-0.54	—	—	—
Jordy Luciano R 2022 · 4.97 FIP	21	SU	4.97	24.9%	22.3%	2.1%	.306	5.33	17.1%	-4.8%	80	+0.36	4.97	104	90
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	90
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	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
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	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	87
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	87
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	87
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	86
Osiel Rodriguez R 2023 · 4.82 FIP	21	SU	4.82	22.7%	15.7%	3.0%	.263	5.62	22.0%	7.6%	56	+0.80	3.38	124	85
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	85
Adonis Villavicencio R 2022 · 4.65 FIP	21	SU	4.65	21.5%	21.9%	1.1%	.316	3.93	18.0%	3.9%	90	-0.72	3.21	115	84
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	84
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	84
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	84
José Mesa Jr. R 2016 · 5.41 FIP	22	SU	5.41	22.4%	17.2%	3.7%	.311	4.00	22.8%	9.6%	113	-1.41	3.33	176	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	487	84
Konnor Ash R 2022 · 4.57 FIP	23	SU	4.57	22.2%	17.0%	2.2%	.340	3.56	22.4%	8.7%	87	-1.01	2.11	127	84
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	84
Elison Joseph R 2022 · 4.91 FIP	21	SU	4.91	19.6%	20.3%	1.6%	.310	4.33	24.8%	6.9%	138	-0.58	3.32	217	84