Angel Roa

P DSL Red Sox Red

Age 18 RHP ROK peak 0.1 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	17	ROKDSL Red Sox R…	8	2	22	3.22	2.03	24.1%	6.9%	—	K 16.4% · BB 8.6% · FIP 2.81
2027PROJ	18	MLB—	12	0	13	4.38	4.38	21.6%	8.8%	0.0
2028PROJ49% MLB	19	MLB—	10	0	10	4.31	4.27	22.2%	8.6%	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 99%

CompsAnderson Cardenas (age 18) · Wilmy Sanchez (age 18) · David Davalillo (age 20)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 116108vR 100

ERA4.38

FIP4.38

K%21.6%

BB%8.8%

K-BB%12.8%

Proj IP13

Value2027 · WAR

Runs saved vs league avg · 13 IP

Grades · Contract

Scouting Grades

K†5055

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 Red Sox Red	8	2	22	87	21	6	0	25%	2.8	16.4%	8.6%	7.8%	0.0%	3.22	2.81	—
2026	17	ROK MLE	DSL Red Sox Red	8	2	22	87	21	6	0	25%	2.8	16.4%	8.6%	7.8%	0.0%	3.22	2.81	—
2026	17	ROK RAW	DSL Red Sox Red	8	2	22	87	21	6	0	25%	2.8	24.1%	6.9%	17.2%	0.0%	3.22	2.03	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	18	MLB	—	12	0	13	55	12	5	2	0%	1.1	21.6%	8.8%	12.8%	2.9%	4.38	4.38	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	19	MLB MLE	—	20	0	21	89	20	8	3	0%	1.1	22.2%	8.6%	13.6%	2.9%	4.31	4.27	+0.1
2028	19	MLB CTX	—	10	0	10	42	9	4	1	0%	1.0	22.2%	8.6%	13.6%	2.9%	4.31	4.27	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		10	0	10	44	10	4	1	0%	1.0	22.2%	8.6%	13.6%	2.9%	4.31	3.89	+0.1
/ 200 IP	—	RAW		190	0	200	844	193	77	19	0%	1.1	22.2%	8.6%	13.6%	2.9%	4.31	3.89	+1.6
Career	—	MLE		8	2	22	87	14	8	0	25%	2.8	16.4%	8.6%	7.8%	0.0%	3.22	2.81	+0.1
/ 200 IP	—	MLE		72	18	200	779	128	67	0	25%	2.8	16.4%	8.6%	7.8%	0.0%	3.22	2.81	+0.7

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
Angel Roa (OGILVIE)	—	—	4.38	21.6%	8.8%	2.9%	—	4.27	22.2%	13.6%	21	-0.11	—	—	—
Anderson Cardenas R 2024 · 4.90 FIP	18	SW	4.90	19.5%	11.9%	3.5%	.235	3.52	22.2%	8.8%	58	-1.38	3.52	129	81
Wilmy Sanchez R 2022 · 3.87 FIP	18	SW	3.87	23.0%	12.9%	1.9%	.316	4.24	21.5%	3.8%	148	+0.37	3.31	218	81
David Davalillo R 2023 · 3.33 FIP	20	SW	3.33	18.6%	6.8%	1.7%	.292	3.31	20.9%	12.4%	308	-0.02	2.96	325	80
Huei-Sheng Lin R 2019 · 4.59 FIP	20	SW	4.59	17.4%	7.4%	3.7%	.360	5.64	16.1%	3.7%	88	+1.05	4.59	120	80
Ricardo Brizuela R 2022 · 4.03 FIP	19	SW	4.03	20.1%	11.6%	2.1%	.375	4.39	16.0%	7.1%	208	+0.36	3.20	246	80
Saul Teran R 2022 · 4.81 FIP	20	SW	4.81	17.5%	9.8%	3.5%	.333	3.88	20.8%	8.7%	94	-0.93	2.28	166	80
Luis Aguilar R 2023 · 4.45 FIP	19	SW	4.45	17.6%	10.3%	2.8%	.356	4.27	16.7%	6.7%	111	-0.18	3.51	146	79
Leury Tejada R 2018 · 4.03 FIP	18	SW	4.03	16.5%	10.1%	1.9%	.286	5.06	17.4%	6.2%	39	+1.03	4.03	183	79
Yorlin Calderon R 2019 · 4.90 FIP	17	SW	4.90	15.4%	8.3%	3.7%	.275	5.02	20.3%	13.1%	84	+0.12	3.43	287	79
Harold Cortijo R 2017 · 4.46 FIP	18	SU	4.46	19.1%	9.8%	3.1%	.309	5.64	13.5%	2.2%	73	+1.18	4.15	179	79
Dawil Almonte R 2022 · 3.59 FIP	20	SW	3.59	17.4%	7.8%	1.8%	.271	4.54	14.7%	3.3%	97	+0.95	3.59	138	78
Randy Rodríguez R 2018 · 3.31 FIP	18	SW	3.31	19.9%	9.7%	1.2%	.319	2.71	25.6%	13.1%	87	-0.60	1.99	336	78
Eccel Correa R 2023 · 4.39 FIP	20	SW	4.39	19.4%	11.9%	2.6%	.316	4.41	14.0%	2.2%	154	+0.02	3.96	189	78
Brandon Komar R 2019 · 4.77 FIP	20	SW	4.77	17.7%	11.6%	3.1%	.327	4.93	16.7%	5.7%	198	+0.16	3.00	538	77
Simon Mathews R 2017 · 4.09 FIP	21	SW	4.09	17.7%	7.5%	2.8%	.326	4.42	16.0%	5.9%	167	+0.33	4.09	215	77
Jake Elliott R 2016 · 3.82 FIP	21	SU	3.82	19.2%	7.1%	2.6%	.353	3.81	18.1%	10.0%	202	-0.01	2.91	354	77
Carlos Gutierrez R 2019 · 4.71 FIP	19	SW	4.71	15.1%	7.1%	3.6%	.326	3.08	18.3%	6.2%	47	-1.63	3.08	122	77
Blayne Enlow R 2017 · 3.50 FIP	18	SW	3.50	16.8%	6.5%	1.8%	.170	3.97	14.1%	4.4%	205	+0.47	3.31	413	77
Osiel Rodriguez R 2022 · 3.38 FIP	20	SU	3.38	19.6%	6.6%	2.0%	.306	5.31	22.3%	7.4%	92	+1.93	3.38	124	76
Christian Romero R 2021 · 3.25 FIP	18	SP-	3.25	18.8%	8.6%	1.2%	.280	4.90	16.2%	7.8%	198	+1.65	3.25	466	76