Roberto Geraldo

P DSL Orioles Orange

Age 18 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	17	ROKDSL Orioles O…	13	20	3.20	3.15	22.4%	15.3%	—	K 15.3% · BB 19.1% · FIP 4.23
2027PROJ	18	MLB—	11	12	5.31	5.31	21.1%	15.9%	-0.1
2028PROJ49% MLB	19	MLB—	10	10	5.06	4.97	21.7%	13.8%	-0.0

Next 2 projected WAR -0.1Projected 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%

CompsAlejandro Lugo (age 18) · Efrailin Ramos (age 18) · Carlos De Los Santos (age 18)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 134126vR 118

ERA5.31

FIP5.31

K%21.1%

BB%15.9%

K-BB%5.2%

Proj IP12

Value2027 · WAR

Runs saved vs league avg · 12 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)
2026	17	ROK MLE	DSL Orioles Orange	13	0	20	98	22	15	0	0%	1.5	15.3%	19.1%	-3.9%	0.0%	3.20	4.23	—
2026	17	ROK MLE	DSL Orioles Orange	13	0	20	98	22	15	0	0%	1.5	15.3%	19.1%	-3.9%	0.0%	3.20	4.23	—
2026	17	ROK RAW	DSL Orioles Orange	13	0	20	98	22	15	0	0%	1.5	22.4%	15.3%	7.1%	0.0%	3.20	3.15	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	18	MLB	—	11	0	12	51	11	8	1	0%	1.1	21.1%	15.9%	5.2%	2.9%	5.31	5.31	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	19	MLB MLE	—	19	0	20	84	18	12	2	0%	1.1	21.7%	13.8%	7.9%	2.9%	5.06	4.97	-0.1
2028	19	MLB CTX	—	10	0	10	42	9	6	1	0%	1.0	21.7%	13.8%	7.9%	2.9%	5.06	4.97	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	9	6	1	0%	1.1	21.7%	13.8%	7.9%	2.9%	5.06	4.59	-0.0
/ 200 IP	—	RAW		190	0	200	844	183	122	20	0%	1.1	21.7%	13.8%	7.9%	2.9%	5.06	4.59	-0.1
Career	—	MLE		13	0	20	98	15	19	0	0%	1.5	15.3%	19.1%	-3.9%	0.0%	3.20	4.23	-0.1
/ 200 IP	—	MLE		132	0	200	997	152	191	0	0%	1.5	15.3%	19.1%	-3.9%	0.0%	3.20	4.23	-1.0

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
Roberto Geraldo (OGILVIE)	—	—	5.31	21.1%	15.9%	2.9%	—	4.97	21.7%	7.9%	20	-0.34	—	—	—
Alejandro Lugo R 2021 · 4.91 FIP	18	SU	4.91	20.4%	16.7%	2.6%	.265	4.96	16.7%	3.1%	98	+0.05	3.77	159	91
Efrailin Ramos R 2024 · 4.31 FIP	18	SU	4.31	21.0%	15.7%	1.8%	.284	3.35	17.0%	6.4%	106	-0.96	3.11	142	89
Carlos De Los Santos R 2019 · 5.68 FIP	18	SU	5.68	16.9%	16.0%	3.6%	.286	3.95	20.9%	3.2%	86	-1.73	3.67	173	86
Michael Brewer R 2021 · 4.30 FIP	20	SU	4.30	23.7%	16.2%	2.1%	.303	4.69	19.7%	6.3%	114	+0.39	3.14	144	86
Drew Pestka R 2024 · 4.26 FIP	20	SU	4.26	19.0%	15.1%	1.6%	.298	4.55	18.1%	0.7%	83	+0.29	3.42	100	85
Joel Ibarra R 2021 · 4.13 FIP	19	SU	4.13	21.1%	16.3%	1.4%	.345	4.50	20.7%	1.6%	98	+0.37	4.08	155	84
Francisco Frias R 2023 · 5.74 FIP	18	SU	5.74	20.8%	14.1%	4.8%	.294	4.83	19.2%	2.2%	134	-0.91	4.00	148	84
Jonathan Jimenez R 2023 · 5.41 FIP	19	SU	5.41	16.4%	16.2%	3.0%	.333	5.09	14.1%	2.2%	178	-0.32	3.49	189	84
Seth Mayberry R 2019 · 4.12 FIP	19	SU	4.12	18.3%	14.4%	1.4%	.270	3.41	23.6%	10.3%	53	-0.71	2.88	120	83
Chase Ingram R 2015 · 4.11 FIP	20	SU	4.11	23.2%	15.8%	1.8%	.244	4.14	15.8%	3.0%	154	+0.03	4.04	174	83
Samuel Carpio R 2024 · 4.20 FIP	21	SU	4.20	21.2%	15.3%	1.7%	.300	5.36	21.6%	-3.4%	112	+1.16	4.20	134	83
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	83
Kevin Rodriguez R 2019 · 4.37 FIP	18	SU	4.37	17.4%	12.8%	2.0%	.279	4.14	16.7%	7.6%	41	-0.23	2.34	188	82
Jesus Colina R 2023 · 5.30 FIP	18	SU	5.30	15.3%	15.2%	2.9%	.265	4.00	17.2%	7.6%	103	-1.30	3.82	128	82
Kyle Hinton R 2018 · 4.17 FIP	21	SU	4.17	23.5%	15.0%	2.1%	.275	5.69	17.7%	-0.7%	75	+1.52	4.17	106	82
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	82
Jose Luis Reyes R 2021 · 4.49 FIP	18	SU	4.49	17.0%	16.3%	1.4%	.262	4.59	14.4%	5.4%	145	+0.10	4.49	206	82
Isaac Gallegos R 2024 · 4.40 FIP	21	SU	4.40	22.9%	17.8%	1.8%	.267	3.09	19.9%	10.5%	106	-1.31	2.89	125	82
Danny Hilario R 2023 · 5.65 FIP	18	SU	5.65	17.8%	19.4%	2.9%	.241	3.68	17.2%	6.9%	68	-1.97	3.58	107	81
Gerson Moreno R 2016 · 4.48 FIP	20	SU	4.48	18.6%	14.8%	2.0%	.278	4.13	23.0%	9.1%	67	-0.35	3.37	349	81