Gerelmi Maldonado

P Eugene Emeralds

Age 23 RHP 6'2" / 256 lbs A+

Overview

A+PROSPECT

Scout OFP47ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	21	ASF	23	20	59	3.97	3.44	25.4%	16.2%	—	K 18.8% · BB 19.1% · FIP 4.32
2026	22	A+SF	35	0	32	3.90	6.41	27.8%	27.2%	—	K 21.4% · BB 31.2% · FIP 7.37
2027PROJ	23	MLBSF	86	0	90	5.68	5.68	23.1%	20.0%	-1.1
2028PROJ43% MLB	24	MLBSF	38	0	40	5.35	5.23	23.9%	17.1%	-0.3
2029PROJ66% MLB	25	MLBSF	59	0	62	5.08	4.94	24.4%	15.2%	-0.3

Next 3 projected WAR -1.7Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff58Control36Command36FB velo68

Career WAR0 WAR median (P10 -0 / P90 0, comp-based) · star 0% · didn't stick 98%

CompsAlec Barger (age 23) · Jhonny Polanco (age 23) · Blake Quinn (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 141133vR 125

ERA5.68

FIP5.68

K%23.1%

BB%20.0%

K-BB%3.1%

Proj IP90

Value2027 · WAR

Runs saved vs league avg · 90 IP

Grades · Contract

Scouting Grades

OFP—50

STUF5060

CTRL4035

CMD2035

K†5560

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)
2021	17	ROK MLE	DSL Giants Black	13	6	29	133	30	17	0	46%	2.3	15.3%	16.0%	-0.6%	0.0%	5.22	3.83	—
2021	17	ROK RAW	DSL Giants Black	13	6	29	133	30	17	0	46%	2.3	22.6%	12.8%	9.8%	0.0%	5.22	2.79	—
2022	18	ROK MLE	ACL Giants Orange	14	8	40	167	59	19	3	57%	2.8	24.0%	14.2%	9.8%	2.5%	2.27	4.23	—
2022	18	ROK RAW	ACL Giants Orange	14	8	40	167	59	19	3	57%	2.8	35.3%	11.4%	24.0%	1.8%	2.27	2.55	—
2023	19	A MLE	San Jose Giants	19	16	65	287	81	40	5	84%	3.4	20.9%	16.4%	4.4%	2.5%	4.71	4.82	—
2023	19	A RAW	San Jose Giants	19	16	65	287	81	40	5	84%	3.4	28.2%	13.9%	14.3%	1.7%	4.71	3.45	—
2025	21	A MLE	San Jose Giants	23	20	59	272	69	44	2	87%	2.6	18.8%	19.1%	-0.3%	0.7%	3.97	4.32	—
2025	21	A MLE	San Jose Giants	23	20	59	272	69	44	2	87%	2.6	18.8%	19.1%	-0.3%	0.7%	3.97	4.32	—
2025	21	A RAW	San Jose Giants	23	20	59	272	69	44	2	87%	2.6	25.4%	16.2%	9.2%	0.7%	3.97	3.44	—
2026	22	A+ MLE	Eugene Emeralds	35	0	32	162	45	44	5	0%	0.9	21.4%	31.2%	-9.8%	3.9%	3.90	7.37	—
2026	22	A+ MLE	Eugene Emeralds	35	0	32	162	45	44	5	0%	0.9	21.4%	31.2%	-9.8%	3.9%	3.90	7.37	—
2026	22	A+ RAW	Eugene Emeralds	35	0	32	162	45	44	5	0%	0.9	27.8%	27.2%	0.6%	3.1%	3.90	6.41	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	SF	86	0	90	380	88	76	11	0%	1.0	23.1%	20.0%	3.1%	3.0%	5.68	5.68	-1.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	SF	88	0	92	389	93	66	11	0%	1.0	23.9%	17.1%	6.9%	2.9%	5.35	5.23	-0.7
2029	25	MLB MLE	SF	89	0	93	394	96	60	12	0%	1.0	24.4%	15.2%	9.2%	2.9%	5.08	4.94	-0.4
2030	26	MLB MLE	SF	89	0	93	394	97	58	12	0%	1.0	24.6%	14.8%	9.8%	2.9%	4.95	4.88	-0.4
2031	27	MLB MLE	SF	88	0	92	388	95	57	12	0%	1.0	24.5%	14.7%	9.8%	3.0%	4.91	4.90	-0.4
2032	28	MLB MLE	SF	85	0	89	377	92	56	12	0%	1.0	24.4%	14.8%	9.6%	3.1%	4.95	4.98	-0.4
2033	29	MLB MLE	SF	81	0	85	360	87	54	12	0%	1.1	24.1%	15.0%	9.1%	3.2%	5.05	5.12	-0.6
2034	30	MLB MLE	SF	76	0	80	338	80	52	12	0%	1.1	23.8%	15.3%	8.4%	3.4%	5.20	5.29	-0.7
2028	24	MLB CTX	SF	38	0	40	169	40	29	5	0%	1.1	23.9%	17.1%	6.9%	2.9%	5.35	5.23	-0.3
2029	25	MLB CTX	SF	59	0	62	262	64	40	8	0%	1.1	24.4%	15.2%	9.2%	2.9%	5.08	4.94	-0.3
2030	26	MLB CTX	SF	70	0	74	312	77	46	9	0%	1.1	24.6%	14.8%	9.8%	2.9%	4.95	4.88	-0.3
2031	27	MLB CTX	SF	74	0	78	329	81	48	10	0%	1.1	24.5%	14.7%	9.8%	3.0%	4.91	4.90	-0.3
2032	28	MLB CTX	SF	75	0	79	334	81	49	10	0%	1.1	24.4%	14.8%	9.6%	3.1%	4.95	4.98	-0.4
2033	29	MLB CTX	SF	73	0	77	325	78	49	10	0%	1.1	24.1%	15.0%	9.1%	3.2%	5.05	5.12	-0.5
2034	30	MLB CTX	SF	70	0	74	312	74	48	11	0%	1.1	23.8%	15.3%	8.4%	3.4%	5.20	5.29	-0.6
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		462	0	485	2047	497	310	63	0%	1.0	24.3%	15.1%	9.1%	3.1%	5.05	4.66	-0.6
/ 200 IP	—	RAW		190	0	200	844	205	128	26	0%	1.1	24.3%	15.1%	9.1%	3.1%	5.05	4.66	-0.3
Career	—	MLE		104	50	225	1021	206	195	20	48%	2.2	20.2%	19.1%	1.1%	1.9%	4.03	4.86	-3.6
/ 200 IP	—	MLE		92	44	200	906	183	173	17	48%	2.2	20.2%	19.1%	1.1%	1.9%	4.03	4.86	-1.1

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
Gerelmi Maldonado (OGILVIE)	—	—	5.68	23.1%	20.0%	3.0%	—	5.02	24.3%	8.6%	279	-0.66	—	—	—
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	77
Jhonny Polanco R 2015 · 4.75 FIP	23	SW	4.75	18.9%	14.2%	2.6%	.283	4.06	21.3%	5.7%	48	-0.69	4.06	116	77
Blake Quinn R 2017 · 5.41 FIP	23	SW	5.41	16.9%	15.3%	3.3%	.328	4.42	17.1%	3.3%	48	-0.99	4.42	122	77
Cole Aker R 2019 · 5.60 FIP	22	SW	5.60	19.5%	20.6%	2.8%	.239	6.17	12.0%	-9.9%	28	+0.57	3.60	147	75
Blake Holub R 2022 · 4.55 FIP	23	SU	4.55	21.7%	15.3%	2.4%	.339	3.73	23.4%	12.7%	156	-0.82	3.22	258	75
Cole McDonald R 2022 · 5.07 FIP	25	SW	5.07	26.5%	19.8%	3.1%	.403	3.87	23.6%	11.6%	93	-1.20	2.81	153	74
Yohan Ramírez R 2018 · 4.72 FIP	23	SW	4.72	18.2%	14.6%	2.4%	.243	4.16	27.6%	10.7%	172	-0.56	2.60	685	74
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	72
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	72
Radhames Liz R 2007 · 5.07 FIP	23	SW	5.07	19.7%	18.0%	2.5%	.301	5.66	14.5%	2.3%	84	+0.59	2.81	219	72
James McArthur R 2019 · 5.04 FIP	22	SP-	5.04	18.8%	15.5%	2.9%	.304	4.41	20.0%	10.7%	131	-0.63	3.48	352	72
Zach Linginfelter R 2021 · 5.53 FIP	24	SP-	5.53	19.1%	16.0%	3.7%	.295	5.01	18.8%	-0.6%	46	-0.52	3.62	109	71
Cole Percival R 2022 · 5.21 FIP	23	SU	5.21	15.4%	14.5%	2.9%	.297	4.27	17.9%	5.9%	182	-0.94	3.58	327	71
Corey Avant R 2024 · 4.76 FIP	22	SW	4.76	17.1%	14.9%	2.2%	.394	4.57	19.9%	6.4%	221	-0.19	3.69	292	71
Joey Matulovich R 2019 · 5.52 FIP	22	SW	5.52	19.8%	14.6%	4.1%	.378	5.04	20.5%	8.9%	133	-0.48	3.22	201	71
Garrett Apker R 2023 · 6.24 FIP	23	SW	6.24	15.0%	18.8%	3.7%	.343	4.93	18.9%	5.2%	53	-1.31	4.01	101	70
Grant Ford R 2021 · 5.78 FIP	23	SW	5.78	20.1%	13.2%	4.9%	.300	4.61	19.0%	4.5%	112	-1.17	3.83	188	70
Kris Hall R 2015 · 4.63 FIP	24	SU	4.63	18.3%	17.8%	1.5%	.281	7.01	12.7%	-7.8%	34	+2.38	4.63	106	70
Victor Santos R 2001 · 4.97 FIP	24	SW	4.97	15.5%	13.4%	2.7%	.231	4.38	16.4%	7.4%	206	-0.59	4.09	602	70
Jordan Brink R 2016 · 5.96 FIP	23	SW	5.96	18.3%	19.2%	3.6%	.233	—	—	—	—	—	3.99	132	70

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,853 starter careers (497 from 1990-2025 + 1,356 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	3.6	89	24.1%	15.9%	1.18	5.15
Roy Parmelee ('29-'39, 4 WAR*)	5.6	124	24.0%*	12.7%*	1.20*	4.75*
Kazuhisa Ishii ('02-'05, 1 WAR*)	2.8	141	19.8%*	13.6%*	1.14*	4.72*
Ferdie Schupp ('13-'22, 4 WAR*)	5.3	132	27.9%*	13.2%*	1.25*	4.83*
Tommy Byrne ('43-'57, 6 WAR*)	6.8	124	23.8%*	13.6%*	0.98*	4.39*
Tony Saunders ('99)	1.7	115	19.7%	13.2%	0.86	4.56
Jason Bere ('03)	5.6	123	18.4%	12.6%	1.17	5.14