Roldanny Sena

P DSL Orioles Black

Age 20 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	19	ROKDSL Orioles B…	14	22	4.84	2.92	15.3%	9.0%	—	K 10.4% · BB 11.3% · FIP 3.65
2027PROJ	20	MLBBAL	12	13	4.79	4.79	19.4%	10.6%	-0.0
2028PROJ49% MLB	21	MLBBAL	10	10	4.64	4.58	20.4%	9.9%	-0.0

Next 2 projected WAR -0.0Projected 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%

CompsBlake Workman (age 20) · Mike Morrison (age 22) · Logan Lombana (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 124116vR 108

ERA4.79

FIP4.79

K%19.4%

BB%10.6%

K-BB%8.8%

Proj IP13

Value2027 · WAR

Runs saved vs league avg · 13 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 Orioles Black	14	0	22	111	17	10	0	0%	1.6	10.4%	11.3%	-0.8%	0.0%	4.84	3.65	—
2026	19	ROK MLE	DSL Orioles Black	14	0	22	111	17	10	0	0%	1.6	10.4%	11.3%	-0.8%	0.0%	4.84	3.65	—
2026	19	ROK RAW	DSL Orioles Black	14	0	22	111	17	10	0	0%	1.6	15.3%	9.0%	6.3%	0.0%	4.84	2.92	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	BAL	12	0	13	55	11	6	2	0%	1.1	19.4%	10.6%	8.8%	2.9%	4.79	4.79	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	BAL	20	0	21	89	18	9	3	0%	1.1	20.4%	9.9%	10.5%	2.9%	4.64	4.58	-0.0
2028	21	MLB CTX	BAL	10	0	10	42	9	4	1	0%	1.0	20.4%	9.9%	10.5%	2.9%	4.64	4.58	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		10	0	10	44	9	4	1	0%	1.0	20.4%	9.9%	10.5%	2.9%	4.64	4.20	+0.0
/ 200 IP	—	RAW		190	0	200	844	174	77	19	0%	1.1	20.4%	9.9%	10.5%	2.9%	4.64	4.20	+0.8
Career	—	MLE		14	0	22	111	12	12	0	0%	1.6	10.4%	11.3%	-0.8%	0.0%	4.84	3.65	-0.0
/ 200 IP	—	MLE		125	0	200	994	104	112	0	0%	1.6	10.4%	11.3%	-0.8%	0.0%	4.84	3.65	-0.1

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
Roldanny Sena (OGILVIE)	—	—	4.79	19.4%	10.6%	2.9%	—	4.58	20.4%	10.5%	21	-0.21	—	—	—
Blake Workman R 2018 · 4.00 FIP	20	SU	4.00	18.9%	9.5%	2.4%	.307	3.98	23.8%	19.5%	105	-0.02	3.09	213	92
Mike Morrison R 2016 · 4.86 FIP	22	SU	4.86	17.3%	10.7%	3.4%	.280	4.02	19.0%	7.1%	128	-0.84	3.36	145	88
Logan Lombana R 2015 · 4.63 FIP	21	SU	4.63	16.9%	10.0%	3.1%	.315	4.02	15.7%	8.1%	123	-0.61	3.80	155	88
Sandy Lugo R 2015 · 3.86 FIP	21	SU	3.86	20.7%	9.5%	2.4%	.352	3.98	23.6%	12.5%	119	+0.12	3.48	146	87
Audry Lugo R 2019 · 4.05 FIP	20	SU	4.05	18.5%	11.4%	2.0%	.247	5.30	15.6%	-0.4%	77	+1.25	4.05	113	87
Luis Alvarado R 2018 · 5.24 FIP	21	SU	5.24	20.2%	12.4%	4.2%	.276	5.16	18.7%	4.4%	140	-0.08	4.89	162	87
Jeremy Beasley R 2017 · 4.71 FIP	21	SU	4.71	19.5%	11.6%	3.3%	.273	4.10	17.7%	8.7%	234	-0.61	3.17	337	87
Chris Gau R 2018 · 4.76 FIP	21	SU	4.76	20.0%	8.6%	4.1%	.290	3.19	29.5%	23.5%	37	-1.57	2.96	211	86
Max Gieg R 2022 · 5.10 FIP	21	SU	5.10	21.1%	11.8%	4.2%	.317	4.65	20.4%	2.3%	92	-0.45	3.98	149	86
Jose Diaz R 2019 · 3.97 FIP	19	SU	3.97	17.9%	10.4%	1.9%	.326	5.52	19.2%	1.1%	64	+1.55	3.91	189	86
Yeuris Jimenez R 2021 · 4.42 FIP	20	SU	4.42	16.3%	9.6%	2.7%	.290	4.24	18.1%	4.6%	162	-0.18	3.32	328	86
Joangel Gonzalez R 2024 · 4.23 FIP	20	SU	4.23	18.3%	11.7%	2.1%	.312	5.15	18.3%	2.5%	116	+0.92	3.93	151	86
Troy Bacon R 2017 · 3.92 FIP	20	SU	3.92	19.9%	11.7%	1.9%	.222	4.06	19.7%	10.8%	102	+0.14	3.34	203	86
Austin Mason R 2015 · 4.41 FIP	21	SU	4.41	17.1%	11.6%	2.4%	.289	4.06	16.2%	6.5%	151	-0.35	3.60	179	85
Josnier Parra R 2023 · 4.56 FIP	21	SU	4.56	15.9%	9.8%	2.9%	.319	5.01	12.1%	2.9%	118	+0.45	3.76	150	85
Jordan Mikel R 2021 · 4.49 FIP	22	SU	4.49	20.5%	12.5%	2.8%	.330	4.16	19.2%	9.0%	109	-0.33	3.04	195	85
Devon Fisher R 2016 · 4.39 FIP	20	SU	4.39	16.5%	12.5%	2.0%	.333	5.76	15.1%	0.9%	88	+1.37	4.39	102	85
Carlos Campos R 2021 · 4.82 FIP	20	SU	4.82	20.4%	10.7%	3.8%	.304	5.85	15.3%	8.1%	19	+1.03	4.82	134	85
Andrew Bash R 2019 · 3.87 FIP	22	SU	3.87	18.0%	9.2%	2.1%	.273	4.21	14.9%	4.8%	146	+0.34	3.46	483	85
Aneudy Duarte R 2018 · 4.79 FIP	20	SU	4.79	17.1%	11.7%	3.0%	.295	—	—	—	—	—	4.26	102	85