Anthony Vizcaya

P Mississippi Braves

Age 33 RHP 6'0" / 220 lbs AA

Overview

AAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2019	25	MIX2 levels	41	2	74	1.33	2.56	27.7%	9.7%	—	K 21.9% · BB 10.8% · FIP 3.22
2022	28	AAANYM	10	0	13	6.07	6.78	20.7%	12.1%	—	K 18.2% · BB 12.7% · FIP 7.20
2024	30	MIX2 levels	23	0	28	4.82	3.03	21.1%	6.5%	—	K 18.2% · BB 5.7% · FIP 3.54
2027PROJ	33	MLBATL	13	0	14	4.29	4.29	22.1%	8.2%	0.0
2028PROJ0% MLB	34	MLBATL	—	—	0	4.46	4.57	21.6%	8.8%	—

Next 2 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsArcenio Leon (age 32) · Zack Segovia (age 33) · Tony Barnette (age 33)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 115107vR 98

ERA4.29

FIP4.29

K%22.1%

BB%8.2%

K-BB%13.9%

Proj IP14

Value2027 · WAR

Runs saved vs league avg · 14 IP

Grades · Contract

Scouting Grades

K†5555

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)
2019	25	MIX MLE	2 levels	41	2	74	300	83	29	3	5%	1.8	21.9%	10.8%	11.1%	1.1%	1.33	3.22	—
2019	25	MIX RAW	2 levels	41	2	74	300	83	29	3	5%	1.8	27.7%	9.7%	18.0%	1.0%	1.33	2.56	—
2022	28	AAA MLE	Syracuse Mets	10	0	13	58	12	7	4	0%	1.3	18.2%	12.7%	5.5%	7.3%	6.07	7.20	—
2022	28	AAA RAW	Syracuse Mets	10	0	13	58	12	7	4	0%	1.3	20.7%	12.1%	8.6%	6.9%	6.07	6.78	—
2024	30	MIX MLE	2 levels	23	0	28	123	26	8	2	0%	1.2	18.2%	5.7%	12.5%	2.3%	4.82	3.54	—
2024	30	MIX MLE	2 levels	23	0	28	123	26	8	2	0%	1.2	18.2%	5.7%	12.5%	2.3%	4.82	3.54	—
2024	30	MIX RAW	2 levels	23	0	28	123	26	8	2	0%	1.2	21.1%	6.5%	14.6%	1.6%	4.82	3.03	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	33	MLB	ATL	13	0	14	59	13	5	2	0%	1.1	22.1%	8.2%	13.9%	3.0%	4.29	4.29	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	34	MLB MLE	ATL	19	0	20	84	18	7	3	0%	1.1	21.6%	8.8%	12.8%	3.3%	4.46	4.57	-0.0
2028	34	MLB CTX	ATL	—	—	0	—	—	—	—	—	—	21.6%	8.8%	12.8%	3.3%	4.46	4.57	—
▸ Career totals — MLB only (actual + projected)
Career	—	MLE		74	2	116	481	99	47	10	3%	1.6	20.5%	9.7%	10.8%	2.2%	2.72	3.78	-0.0
/ 200 IP	—	MLE		128	3	200	832	171	81	18	3%	1.6	20.5%	9.7%	10.8%	2.2%	2.72	3.78	-0.0

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
Anthony Vizcaya (OGILVIE)	—	—	4.29	22.1%	8.2%	3.0%	—	4.57	21.6%	12.8%	20	+0.28	—	—	—
Arcenio Leon R 2019 · 3.61 FIP	32	SU	3.61	21.4%	8.1%	2.4%	.314	—	—	—	—	—	3.00	115	87
Zack Segovia R 2016 · 3.33 FIP	33	SU	3.33	20.2%	5.9%	2.2%	.312	4.55	17.6%	4.0%	57	+1.22	3.33	144	82
Tony Barnette R 2017 · 3.56 FIP	33	SU	3.56	22.6%	7.1%	2.7%	.335	2.61	25.0%	20.2%	26	-0.95	2.61	144	82
Jose Manuel Lopez R 2017 · 3.61 FIP	32	SU	3.61	20.4%	10.0%	1.8%	.331	6.14	17.9%	3.7%	41	+2.53	3.50	170	80
Mark Serrano R 2019 · 5.25 FIP	33	SU	5.25	20.2%	7.9%	5.2%	.289	—	—	—	—	—	3.16	120	78
Neil Wagner R 2017 · 3.11 FIP	33	SU	3.11	20.7%	8.6%	1.2%	.257	—	—	—	—	—	3.11	135	78
Jim Henderson R 2016 · 4.55 FIP	33	SU	4.55	25.8%	9.0%	4.5%	.287	—	—	—	—	—	1.86	167	78
Adrian Ramirez R 2019 · 4.29 FIP	31	SU	4.29	21.7%	6.3%	4.0%	.327	—	—	—	—	—	3.04	137	77
Keiichi Yabu R 2005 · 4.05 FIP	36	SU	4.05	16.8%	8.8%	2.3%	.307	3.48	15.9%	6.6%	68	-0.57	3.48	126	77
Juan Sandoval R 2015 · 3.82 FIP	34	SU	3.82	15.4%	6.0%	2.3%	.294	3.33	17.4%	8.8%	116	-0.49	3.24	225	75
Ryan Brasier R 2021 · 4.85 FIP	33	SU	4.85	18.0%	8.0%	4.1%	.286	3.16	23.7%	17.9%	150	-1.69	2.31	426	75
Hector Navarro R 2015 · 4.35 FIP	35	SU	4.35	15.0%	5.4%	3.3%	.281	3.00	15.2%	9.0%	81	-1.35	2.30	126	75
Leo Rosales R 2015 · 3.99 FIP	34	SU	3.99	18.1%	10.8%	1.9%	.261	4.24	7.8%	-0.4%	22	+0.25	3.85	130	74
Tyler Walker R 2009 · 3.72 FIP	33	SU	3.72	18.0%	5.3%	2.7%	.243	3.77	20.7%	16.6%	35	+0.05	2.38	289	74
Mike Buddie R 2002 · 4.26 FIP	31	SU	4.26	15.1%	7.6%	2.7%	.297	—	—	—	—	—	3.76	123	74
Felipe Arredondo R 2019 · 4.65 FIP	32	SU	4.65	16.2%	7.1%	3.7%	.272	—	—	—	—	—	3.92	337	73
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	73
Hirokazu Sawamura R 2021 · 4.48 FIP	33	SU	4.48	26.2%	11.2%	4.0%	.263	4.02	18.1%	6.8%	51	-0.46	4.02	104	73
Jean Machi R 2015 · 4.56 FIP	33	SU	4.56	16.3%	8.6%	3.2%	.276	4.24	18.5%	11.9%	128	-0.32	2.16	306	72
Miguel Mejia R 2019 · 4.41 FIP	31	SU	4.41	15.7%	10.7%	2.3%	.341	—	—	—	—	—	3.37	108	72