Emmanuel Pena

P DSL Orioles Orange

Age 19 RHP 6'0" / 145 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…	11	11	33	7.99	4.88	16.3%	19.9%	—	K 11.1% · BB 24.8% · FIP 5.88
2026	18	ROKDSL Orioles O…	10	10	30	5.93	5.18	23.9%	24.6%	—	K 16.3% · BB 30.8% · FIP 6.71
2027PROJ	19	MLBBAL	3	3	18	6.00	6.00	19.1%	20.0%	-0.2
2028PROJ49% MLB	20	MLBBAL	3	3	15	5.62	5.48	20.2%	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 96%

CompsMarlon Nieves (age 19) · Marlon De La Cruz (age 18) · Tyrone Yulie (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 147139vR 131

ERA6.00

FIP6.00

K%19.1%

BB%20.0%

K-BB%-0.9%

Proj IP18

Value2027 · WAR

Runs saved vs league avg · 18 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	11	11	33	166	27	33	1	100%	3.0	11.1%	24.8%	-13.8%	1.0%	7.99	5.88	—
2025	17	ROK MLE	DSL Orioles Black	11	11	33	166	27	33	1	100%	3.0	11.1%	24.8%	-13.8%	1.0%	7.99	5.88	—
2025	17	ROK RAW	DSL Orioles Black	11	11	33	166	27	33	1	100%	3.0	16.3%	19.9%	-3.6%	0.6%	7.99	4.88	—
2026	18	ROK MLE	DSL Orioles Orange	10	10	30	142	34	35	2	100%	3.0	16.3%	30.8%	-14.5%	2.0%	5.93	6.71	—
2026	18	ROK MLE	DSL Orioles Orange	10	10	30	142	34	35	2	100%	3.0	16.3%	30.8%	-14.5%	2.0%	5.93	6.71	—
2026	18	ROK RAW	DSL Orioles Orange	10	10	30	142	34	35	2	100%	3.0	23.9%	24.6%	-0.7%	1.4%	5.93	5.18	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	BAL	3	3	18	76	15	15	2	100%	6.0	19.1%	20.0%	-0.9%	2.9%	6.00	6.00	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	BAL	6	6	31	130	26	22	4	100%	5.1	20.2%	16.8%	3.4%	2.9%	5.62	5.48	-0.2
2028	20	MLB CTX	BAL	3	3	15	63	13	11	2	100%	5.0	20.2%	16.8%	3.4%	2.9%	5.62	5.48	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		3	3	15	64	13	11	2	100%	5.1	20.2%	16.8%	3.4%	2.9%	5.62	5.10	-0.0
/ 200 IP	—	RAW		43	43	200	844	171	145	26	100%	4.6	20.2%	16.8%	3.4%	2.9%	5.62	5.10	-0.5
Career	—	MLE		21	21	63	308	41	85	5	100%	3.0	13.5%	27.6%	-14.1%	1.5%	7.00	6.26	-0.2
/ 200 IP	—	MLE		67	67	200	978	132	270	14	100%	3.0	13.5%	27.6%	-14.1%	1.5%	7.00	6.26	-1.3

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
Emmanuel Pena (OGILVIE)	—	—	6.00	19.1%	20.0%	2.9%	—	5.48	20.2%	3.4%	31	-0.52	—	—	—
Marlon Nieves R 2024 · 5.63 FIP	19	SP	5.63	17.9%	20.0%	2.8%	.300	4.19	18.6%	1.2%	134	-1.44	3.82	187	89
Marlon De La Cruz R 2024 · 5.31 FIP	18	SP	5.31	17.1%	20.9%	1.8%	.306	5.34	13.8%	-6.9%	101	+0.03	4.35	140	85
Tyrone Yulie R 2021 · 6.80 FIP	19	SP	6.80	19.7%	22.1%	4.7%	.324	5.30	18.1%	2.7%	166	-1.50	4.87	265	83
Kenyi Perez R 2021 · 6.09 FIP	19	SP	6.09	15.6%	27.4%	1.5%	.349	6.38	21.0%	-13.4%	77	+0.29	4.30	194	82
Luis Medina R 2018 · 6.84 FIP	19	SP	6.84	17.4%	31.2%	2.3%	.330	4.96	21.8%	5.2%	199	-1.88	3.30	606	82
Luis Ghisays R 2024 · 5.74 FIP	18	SP	5.74	13.8%	15.0%	3.5%	.291	5.08	16.2%	5.4%	75	-0.66	4.58	110	82
Jeferson Figueroa R 2021 · 5.24 FIP	20	SP	5.24	17.1%	15.6%	2.9%	.232	5.02	20.6%	5.4%	188	-0.22	4.77	249	82
Tanner McDougal R 2023 · 4.96 FIP	20	SP	4.96	19.7%	16.9%	2.5%	.285	4.81	21.3%	8.0%	253	-0.15	3.82	323	81
Anderson Munoz R 2018 · 5.90 FIP	19	SP-	5.90	14.4%	18.2%	3.1%	.306	4.35	25.7%	13.3%	73	-1.55	4.15	109	81
Chen-Wei Lin R 2023 · 6.48 FIP	21	SP	6.48	21.3%	22.0%	4.4%	.379	3.81	20.5%	8.4%	257	-2.67	3.05	269	81
Yerlin Rodriguez R 2021 · 5.73 FIP	19	SP-	5.73	20.0%	23.6%	2.4%	.378	4.63	19.9%	0.7%	112	-1.10	3.84	244	80
Jose Pena Jr. R 2022 · 5.48 FIP	19	SP-	5.48	15.0%	18.7%	2.3%	.269	4.62	19.2%	3.1%	124	-0.86	3.48	176	80
Jared Kelley R 2021 · 5.33 FIP	19	SP	5.33	16.5%	23.2%	1.2%	.312	5.14	16.5%	-1.2%	174	-0.19	4.25	250	80
Lisandro Almonte R 2021 · 4.89 FIP	19	SP-	4.89	16.3%	16.4%	2.0%	.298	4.93	19.6%	4.9%	78	+0.04	3.81	128	80
Maximo Gonzalez R 2024 · 5.75 FIP	17	SP	5.75	15.4%	16.1%	3.5%	.233	6.06	12.7%	1.8%	73	+0.31	3.51	120	80
Jharold Clemente R 2023 · 4.97 FIP	20	SP	4.97	17.5%	13.6%	3.0%	.258	5.11	13.3%	4.3%	92	+0.14	4.09	116	80
Gio Arriera R 2017 · 5.41 FIP	19	SP	5.41	15.1%	13.9%	3.3%	.333	4.34	15.5%	2.0%	79	-1.07	4.34	185	80
Alexander Almonte R 2024 · 5.69 FIP	17	SP	5.69	16.2%	13.8%	4.0%	.250	4.82	12.6%	-2.8%	75	-0.87	4.27	100	79
Mitch Keller R 2015 · 4.95 FIP	19	SP	4.95	16.8%	19.8%	1.4%	.407	3.36	19.4%	11.9%	375	-1.59	2.52	1,520	79
Shane Panzini R 2022 · 5.64 FIP	20	SP	5.64	17.3%	15.8%	3.6%	.335	4.96	18.5%	5.6%	251	-0.68	4.59	338	79