Geferlyn Avelino

P DSL LAD Mega

Age 20 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	19	ROKDSL LAD Mega	16	2	23	7.43	6.06	15.7%	25.6%	—	K 10.7% · BB 32.0% · FIP 6.89
2027PROJ	20	MLB—	13	0	14	6.00	6.00	19.2%	20.0%	-0.2
2028PROJ49% MLB	21	MLB—	10	0	11	5.62	5.48	20.3%	16.8%	-0.1

Next 2 projected WAR -0.3Projected 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) · Elison Joseph (age 20) · Over Galue (age 20)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 147139vR 131

ERA6.00

FIP6.00

K%19.2%

BB%20.0%

K-BB%-0.8%

Proj IP14

Value2027 · WAR

Runs saved vs league avg · 14 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)
2026	19	ROK MLE	DSL LAD Mega	16	2	23	121	19	31	1	12%	1.4	10.7%	32.0%	-21.3%	1.2%	7.43	6.89	—
2026	19	ROK MLE	DSL LAD Mega	16	2	23	121	19	31	1	12%	1.4	10.7%	32.0%	-21.3%	1.2%	7.43	6.89	—
2026	19	ROK RAW	DSL LAD Mega	16	2	23	121	19	31	1	12%	1.4	15.7%	25.6%	-9.9%	0.8%	7.43	6.06	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	—	13	0	14	59	11	12	2	0%	1.1	19.2%	20.0%	-0.8%	2.9%	6.00	6.00	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	—	21	0	22	92	19	15	3	0%	1.0	20.3%	16.8%	3.5%	2.9%	5.62	5.48	-0.2
2028	21	MLB CTX	—	10	0	11	46	9	8	1	0%	1.1	20.3%	16.8%	3.5%	2.9%	5.62	5.48	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		10	0	11	45	9	8	1	0%	1.1	20.3%	16.8%	3.5%	2.9%	5.62	5.10	-0.1
/ 200 IP	—	RAW		190	0	200	844	169	150	19	0%	1.1	20.3%	16.8%	3.5%	2.9%	5.62	5.10	-1.3
Career	—	MLE		16	2	23	121	13	39	1	12%	1.4	10.7%	32.0%	-21.3%	1.2%	7.43	6.89	-0.2
/ 200 IP	—	MLE		139	17	200	1052	112	337	12	12%	1.4	10.7%	32.0%	-21.3%	1.2%	7.43	6.89	-2.2

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
Geferlyn Avelino (OGILVIE)	—	—	6.00	19.2%	20.0%	2.9%	—	5.48	20.3%	3.5%	22	-0.52	—	—	—
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
Elison Joseph R 2021 · 5.31 FIP	20	SU	5.31	17.4%	19.2%	2.3%	.254	4.55	23.5%	6.8%	133	-0.76	3.32	217	87
Over Galue R 2021 · 5.01 FIP	20	SW	5.01	17.5%	17.0%	2.2%	.346	4.16	18.2%	3.6%	94	-0.85	4.16	122	85
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	85
Daniel Lloyd R 2021 · 5.40 FIP	20	SU	5.40	20.4%	22.4%	2.2%	.367	4.15	18.0%	8.5%	226	-1.25	3.59	319	85
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	85
Juan Martinez R 2021 · 5.12 FIP	20	SW	5.12	17.4%	20.8%	1.6%	.314	5.54	15.4%	-0.3%	31	+0.42	4.03	122	84
Erian Rodriguez R 2022 · 5.51 FIP	20	SU	5.51	16.2%	19.8%	2.3%	.378	4.16	16.2%	3.6%	241	-1.35	3.81	287	84
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	84
Ismael Aquino R 2019 · 4.89 FIP	20	SU	4.89	17.0%	16.5%	2.1%	.354	5.58	14.1%	-1.5%	14	+0.69	3.99	122	83
Angel Reyes R 2018 · 4.91 FIP	20	SU	4.91	16.5%	19.4%	1.4%	.328	4.51	17.1%	5.7%	119	-0.40	3.99	308	83
Samuel Fabian R 2023 · 6.61 FIP	20	SU	6.61	16.8%	27.4%	2.7%	.352	4.33	17.2%	4.8%	64	-2.28	4.21	120	83
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	83
Will Kobos R 2018 · 5.58 FIP	20	SW	5.58	19.3%	16.0%	3.8%	.313	3.46	26.6%	11.6%	76	-2.12	2.44	139	82
Adrian Rodriguez R 2021 · 6.92 FIP	20	SU	6.92	23.1%	34.0%	2.7%	.368	5.46	23.1%	-1.6%	93	-1.46	2.43	148	82
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	82
Ryan Harbin R 2022 · 5.47 FIP	20	SU	5.47	14.4%	18.9%	2.2%	.317	4.18	24.0%	8.1%	156	-1.29	3.82	185	82
Conor Grady R 2021 · 5.28 FIP	22	SU	5.28	17.2%	19.0%	2.2%	.242	4.62	16.9%	5.1%	96	-0.66	4.62	108	82
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	82
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	82