Angel Vizcaino

P ACL Athletics

Age 21 RHP 6'2" / 168 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	19	ROKOAK	11	0	10	0.90	2.60	18.4%	7.9%	—	K 18.4% · BB 7.9% · FIP 2.54
2026	20	ROKOAK	6	5	19	10.12	5.62	13.3%	7.1%	—	K 9.0% · BB 8.9% · FIP 6.61
2027PROJ	21	MLBOAK	10	0	11	4.68	4.68	19.4%	9.0%	-0.0
2028PROJ49% MLB	22	MLBOAK	10	0	10	4.53	4.45	20.9%	8.5%	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 2% · didn't stick 97%

CompsWilmer Ortega (age 21) · Cole Stapler (age 22) · Simon Mathews (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 122114vR 106

ERA4.68

FIP4.68

K%19.4%

BB%9.0%

K-BB%10.3%

Proj IP11

Value2027 · WAR

Runs saved vs league avg · 11 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	19	ROK MLE	DSL Athletics	11	0	10	38	7	3	0	0%	0.9	18.4%	7.9%	10.5%	0.0%	0.90	2.54	—
2025	19	ROK MLE	DSL Athletics	11	0	10	38	7	3	0	0%	0.9	18.4%	7.9%	10.5%	0.0%	0.90	2.54	—
2025	19	ROK RAW	DSL Athletics	11	0	10	38	7	3	0	0%	0.9	18.4%	7.9%	10.5%	0.0%	0.90	2.60	—
2026	20	ROK MLE	ACL Athletics	6	5	19	98	13	7	4	83%	3.1	9.0%	8.9%	0.1%	5.7%	10.12	6.61	—
2026	20	ROK MLE	ACL Athletics	6	5	19	98	13	7	4	83%	3.1	9.0%	8.9%	0.1%	5.7%	10.12	6.61	—
2026	20	ROK RAW	ACL Athletics	6	5	19	98	13	7	4	83%	3.1	13.3%	7.1%	6.1%	4.1%	10.12	5.62	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	21	MLB	OAK	10	0	11	46	9	4	1	0%	1.1	19.4%	9.0%	10.3%	3.1%	4.68	4.68	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	22	MLB MLE	OAK	19	0	20	84	18	7	3	0%	1.1	20.9%	8.5%	12.3%	3.0%	4.53	4.45	+0.0
2028	22	MLB CTX	OAK	10	0	10	42	9	4	1	0%	1.0	20.9%	8.5%	12.3%	3.0%	4.53	4.45	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	9	4	1	0%	1.1	20.9%	8.5%	12.3%	3.0%	4.53	4.07	+0.1
/ 200 IP	—	RAW		190	0	200	844	183	81	20	0%	1.1	20.9%	8.5%	12.3%	3.0%	4.53	4.07	+1.1
Career	—	MLE		17	5	29	136	16	12	6	29%	1.7	11.6%	8.6%	3.0%	4.1%	6.91	5.47	+0.0
/ 200 IP	—	MLE		119	35	200	949	111	82	39	29%	1.7	11.6%	8.6%	3.0%	4.1%	6.91	5.47	+0.2

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 Vizcaino (OGILVIE)	—	—	4.68	19.4%	9.0%	3.1%	—	4.45	20.9%	12.3%	20	-0.23	—	—	—
Wilmer Ortega R 2022 · 4.01 FIP	21	SP-	4.01	18.2%	7.9%	2.6%	.304	5.81	16.1%	1.8%	30	+1.80	3.62	158	83
Cole Stapler R 2017 · 3.83 FIP	22	SW	3.83	19.2%	6.0%	2.9%	.266	3.31	18.1%	13.2%	220	-0.52	3.26	255	83
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	81
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
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	79
Florencio Serrano R 2021 · 3.84 FIP	21	SP-	3.84	19.3%	8.5%	2.4%	.264	4.80	14.1%	3.4%	117	+0.96	3.84	206	79
Austin Hutchison R 2017 · 4.05 FIP	22	SW	4.05	19.7%	6.0%	3.4%	.340	4.55	18.7%	9.2%	213	+0.50	3.51	235	79
Jonathan Petit R 2022 · 4.64 FIP	21	SP-	4.64	16.3%	9.1%	3.2%	.272	5.11	15.6%	2.4%	113	+0.47	2.70	189	79
Juan Mendez R 2021 · 4.45 FIP	22	SW	4.45	20.5%	14.2%	2.3%	.271	5.07	21.9%	6.1%	128	+0.62	3.69	156	79
Nick Gallagher R 2018 · 4.26 FIP	22	SW	4.26	17.2%	7.1%	3.1%	.310	4.55	22.4%	7.1%	90	+0.29	4.10	196	78
Davis Martin R 2018 · 3.59 FIP	21	SW	3.59	16.3%	8.2%	1.5%	.317	4.71	18.9%	10.7%	233	+1.12	3.59	749	78
Todd Peterson R 2021 · 5.11 FIP	23	SW	5.11	18.4%	10.3%	4.1%	.279	4.83	15.0%	4.3%	124	-0.28	4.45	175	77
Miguel Alfonseca R 2021 · 4.19 FIP	21	SP-	4.19	18.3%	12.1%	2.0%	.400	5.36	14.9%	-0.9%	92	+1.17	4.19	123	77
Dan Wheeler R 2000 · 3.82 FIP	22	SW	3.82	15.3%	8.1%	1.8%	.325	4.16	15.7%	9.7%	69	+0.34	2.77	641	77
Adam Bernero R 2000 · 4.15 FIP	23	SW	4.15	14.2%	8.5%	2.1%	.283	4.88	14.2%	6.3%	247	+0.73	3.45	376	77
Jose Gutierrez R 2023 · 3.59 FIP	20	SW	3.59	16.3%	5.3%	2.2%	.360	4.36	15.1%	4.8%	181	+0.77	3.34	214	77
Conor Harber R 2015 · 3.93 FIP	21	SW	3.93	14.3%	10.0%	1.4%	.257	4.33	16.3%	2.8%	262	+0.40	3.05	333	77
Brendan Collins R 2022 · 3.67 FIP	22	SW	3.67	21.8%	10.3%	2.0%	.294	3.86	20.2%	5.1%	54	+0.19	3.67	122	76
Kyle Zimmer R 2015 · 3.74 FIP	23	SW	3.74	21.8%	8.6%	2.5%	.293	4.55	20.4%	9.0%	33	+0.81	2.08	276	76
Franco Aleman R 2022 · 3.95 FIP	22	SW	3.95	21.3%	8.2%	2.9%	.391	2.98	28.9%	18.9%	114	-0.97	2.28	226	76