Jainer Marmolejos

P DSL Orioles Orange

Age 19 RHP 6'0" / 165 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	17	ROKDSL Orioles B…	10	10	33	5.73	3.77	18.3%	14.0%	—	K 12.4% · BB 17.5% · FIP 4.84
2026	18	ROKDSL Orioles O…	14	0	19	7.11	3.84	18.5%	17.4%	—	K 12.6% · BB 21.7% · FIP 4.79
2027PROJ	19	MLBBAL	13	0	14	5.68	5.68	18.9%	17.5%	-0.2
2028PROJ49% MLB	20	MLBBAL	14	0	15	5.36	5.24	20.1%	15.0%	-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%

CompsOver Galue (age 20) · Anthony Cruz (age 19) · Will Kobos (age 20)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 141133vR 125

ERA5.68

FIP5.68

K%18.9%

BB%17.5%

K-BB%1.4%

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)
2025	17	ROK MLE	DSL Orioles Black	10	10	33	164	30	23	1	100%	3.3	12.4%	17.5%	-5.1%	1.0%	5.73	4.84	—
2025	17	ROK MLE	DSL Orioles Black	10	10	33	164	30	23	1	100%	3.3	12.4%	17.5%	-5.1%	1.0%	5.73	4.84	—
2025	17	ROK RAW	DSL Orioles Black	10	10	33	164	30	23	1	100%	3.3	18.3%	14.0%	4.3%	0.6%	5.73	3.77	—
2026	18	ROK MLE	DSL Orioles Orange	14	0	19	92	17	16	0	0%	1.4	12.6%	21.7%	-9.2%	0.0%	7.11	4.79	—
2026	18	ROK MLE	DSL Orioles Orange	14	0	19	92	17	16	0	0%	1.4	12.6%	21.7%	-9.2%	0.0%	7.11	4.79	—
2026	18	ROK RAW	DSL Orioles Orange	14	0	19	92	17	16	0	0%	1.4	18.5%	17.4%	1.1%	0.0%	7.11	3.84	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	BAL	13	0	14	59	11	10	2	0%	1.1	18.9%	17.5%	1.4%	2.9%	5.68	5.68	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	BAL	30	0	31	132	26	20	4	0%	1.0	20.1%	15.0%	5.1%	2.8%	5.36	5.24	-0.2
2028	20	MLB CTX	BAL	14	0	15	63	13	9	2	0%	1.1	20.1%	15.0%	5.1%	2.8%	5.36	5.24	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		15	0	15	65	13	10	2	0%	1.0	20.1%	15.0%	5.1%	2.8%	5.36	4.86	-0.1
/ 200 IP	—	RAW		190	0	200	844	170	130	26	0%	1.1	20.1%	15.0%	5.1%	2.8%	5.36	4.86	-0.7
Career	—	MLE		24	10	52	256	32	49	2	42%	2.2	12.5%	19.0%	-6.6%	0.7%	6.23	4.82	-0.2
/ 200 IP	—	MLE		92	38	200	985	123	188	7	42%	2.2	12.5%	19.0%	-6.6%	0.7%	6.23	4.82	-1.6

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
Jainer Marmolejos (OGILVIE)	—	—	5.68	18.9%	17.5%	2.9%	—	5.24	20.1%	5.1%	31	-0.44	—	—	—
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	88
Anthony Cruz R 2022 · 5.38 FIP	19	SW	5.38	16.7%	16.6%	2.9%	.237	4.19	18.2%	5.6%	180	-1.19	3.32	272	87
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	87
Denny Larrondo R 2021 · 4.77 FIP	19	SW	4.77	22.7%	17.5%	2.5%	.293	5.26	18.1%	-0.4%	155	+0.49	4.48	293	86
Randel Clemente R 2021 · 5.99 FIP	19	SW	5.99	14.3%	21.7%	2.4%	.270	4.60	21.8%	-1.8%	88	-1.39	3.74	214	83
Yeiber Cartaya R 2022 · 5.86 FIP	19	SW	5.86	14.4%	21.1%	2.4%	.256	4.45	19.9%	2.0%	195	-1.41	4.12	283	82
Raimon Gomez R 2021 · 4.90 FIP	19	SW	4.90	17.3%	13.6%	2.8%	.265	3.28	19.5%	8.0%	48	-1.62	3.28	103	82
Tanner Cooper R 2021 · 4.71 FIP	21	SW	4.71	17.1%	14.1%	2.3%	.338	5.15	14.4%	6.7%	121	+0.44	4.51	148	82
Angel Peralta R 2024 · 6.70 FIP	17	SW	6.70	19.0%	29.7%	2.6%	.200	4.28	15.9%	2.0%	84	-2.42	3.81	107	82
Junior Pina R 2022 · 5.93 FIP	19	SW	5.93	15.7%	22.4%	2.4%	.263	6.65	9.7%	-20.4%	26	+0.72	4.72	115	82
Joseph Hernandez R 2018 · 5.37 FIP	18	SW	5.37	15.6%	15.0%	3.1%	.296	4.39	24.7%	8.0%	31	-0.98	4.39	260	81
Jesus Rivero R 2022 · 4.75 FIP	19	SW	4.75	21.6%	23.3%	1.0%	.254	4.21	21.8%	2.6%	87	-0.54	4.09	146	81
Josue Panacual R 2021 · 4.81 FIP	19	SW	4.81	17.5%	15.6%	2.2%	.286	4.41	14.2%	0.8%	91	-0.40	4.41	164	81
Ben Peoples R 2019 · 6.28 FIP	18	SW	6.28	21.8%	27.5%	2.8%	.227	4.51	23.0%	9.1%	103	-1.77	3.56	365	80
Keegan Collett R 2019 · 5.05 FIP	21	SW	5.05	21.9%	24.6%	1.2%	.321	4.68	29.1%	9.0%	84	-0.37	3.93	184	80
Yorman Galindez R 2022 · 4.93 FIP	19	SW	4.93	19.1%	18.3%	2.1%	.374	3.77	22.9%	6.2%	96	-1.16	3.63	201	79
Doimil Perez R 2023 · 5.95 FIP	19	SU	5.95	17.8%	14.7%	4.5%	.322	5.36	16.6%	-2.0%	47	-0.59	3.32	139	79
Juan Burgos R 2019 · 4.75 FIP	19	SW	4.75	15.4%	13.5%	2.3%	.292	4.38	17.7%	0.8%	58	-0.37	3.50	284	79
Kai Wynyard R 2021 · 5.35 FIP	19	SW	5.35	19.0%	26.2%	1.0%	.375	3.85	18.2%	6.5%	129	-1.50	3.32	257	78
Hansel Rosario R 2022 · 6.13 FIP	19	SW	6.13	16.9%	32.0%	0.7%	.271	5.82	16.0%	-8.8%	82	-0.31	5.25	107	78