Anthony Vizcaya — OGILVIE

Anthony Vizcaya P Mississippi Braves

Age 32 RHP 6'0" / 220 lbs AA

2026 ROS PROJECTION0 act + 1 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 114106vR 98

ERA4.27

FIP4.27

K%20.7%

BB%7.3%

K-BB%13.5%

ROS IP1

Value2026 · WAR

Runs saved vs league avg · 1 IP

Grades · Contract

Scouting Grades

K†5050

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 + 2026 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	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	32	MLB	ATL	1	0	1	4	1	0	0	0%	1.0	20.7%	7.3%	13.5%	3.0%	4.27	4.27	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	33	MLB MLE	ATL	19	0	20	84	17	7	3	0%	1.1	20.5%	7.9%	12.6%	3.2%	4.43	4.53	+0.0
2027	33	MLB CTX	ATL	6	0	6	25	5	2	1	0%	1.0	20.5%	7.9%	12.6%	3.2%	4.43	4.53	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	6	26	5	2	1	0%	1.0	20.5%	7.9%	12.6%	3.2%	4.43	4.14	+0.0
/ 200 IP	—	RAW		190	0	200	844	160	64	32	0%	1.1	20.5%	7.9%	12.6%	3.2%	4.43	4.14	+1.0
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)	—	—	4.27	20.7%	7.3%	3.0%	—	4.53	20.5%	12.6%	20	+0.26	—	—	—
Arcenio Leon R 2019 · 3.61 FIP	32	SU	3.61	21.4%	8.1%	2.4%	.314	—	—	—	—	—	3.00	115	87
Fernando Nieve R 2015 · 4.27 FIP	33	SU	4.27	22.0%	10.5%	3.1%	.290	2.43	26.9%	22.6%	89	-1.84	1.96	112	85
Matt Albers R 2015 · 3.19 FIP	32	SU	3.19	18.8%	4.7%	2.0%	.252	4.45	20.4%	13.3%	147	+1.26	3.15	244	82
Ross Ohlendorf R 2015 · 3.30 FIP	32	SU	3.30	23.7%	7.2%	2.3%	.342	4.93	23.4%	12.7%	66	+1.63	3.30	122	81
Jonathan Broxton R 2016 · 3.77 FIP	32	SU	3.77	22.0%	7.3%	2.9%	.256	4.34	20.5%	9.0%	16	+0.57	3.67	137	80
Mark Serrano R 2017 · 3.56 FIP	31	SU	3.56	21.9%	6.4%	2.7%	.240	5.25	20.2%	12.3%	42	+1.69	3.16	120	80
Manny Acosta R 2016 · 4.19 FIP	35	SU	4.19	18.1%	9.1%	2.7%	.273	3.08	23.2%	9.9%	44	-1.11	3.08	102	80
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	79
Logan Kensing R 2015 · 3.56 FIP	33	SU	3.56	17.6%	8.8%	1.5%	.270	3.06	17.9%	10.0%	124	-0.50	2.73	172	79
Carlos Torres R 2015 · 3.19 FIP	32	SU	3.19	19.8%	4.9%	2.1%	.315	3.67	20.8%	12.4%	206	+0.48	2.89	326	78
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	78
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	78
Adrian Ramirez R 2019 · 4.29 FIP	31	SU	4.29	21.7%	6.3%	4.0%	.327	—	—	—	—	—	3.04	137	78
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	78
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	78
Santiago Casilla R 2015 · 3.50 FIP	35	SU	3.50	25.4%	8.6%	2.7%	.290	3.97	22.4%	12.7%	161	+0.47	3.50	219	78
Miguel Socolovich R 2018 · 3.55 FIP	32	SU	3.55	20.8%	5.6%	2.7%	.338	3.55	18.4%	13.7%	42	+0.00	2.65	283	77
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	4.12	186	77
Ryan Cook R 2018 · 3.96 FIP	31	SU	3.96	25.1%	10.8%	2.9%	.280	—	—	—	—	—	3.96	102	77
Tanner Scheppers R 2017 · 4.86 FIP	30	SU	4.86	15.7%	6.7%	4.1%	.301	—	—	—	—	—	4.37	101	77