Wander Ventura

P FCL Rays

Age 24 RHP 6'2" / 170 lbs ROK peak 0.2 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	20	ROKTB	10	10	28	3.90	2.56	17.1%	7.3%	—	K 11.6% · BB 9.1% · FIP 3.28
2024	21	ROKTB	12	5	30	5.10	4.43	16.5%	14.4%	—	K 11.3% · BB 18.0% · FIP 5.53
2027PROJ	24	MLBTB	3	3	18	4.76	4.76	22.4%	12.1%	0.0
2028PROJ43% MLB	25	MLBTB	2	2	9	4.64	4.59	22.9%	11.1%	0.0

Next 2 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsRay Gaither (age 24) · Casey Legumina (age 24) · Mitch Neunborn (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 124115vR 107

ERA4.76

FIP4.76

K%22.4%

BB%12.1%

K-BB%10.3%

Proj IP18

Value2027 · WAR

Runs saved vs league avg · 18 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)
2022	19	ROK MLE	DSL Rays	12	3	21	92	20	13	0	25%	1.7	14.8%	17.7%	-2.9%	0.0%	3.92	4.09	—
2022	19	ROK RAW	DSL Rays	12	3	21	92	20	13	0	25%	1.7	21.7%	14.1%	7.6%	0.0%	3.92	3.05	—
2023	20	ROK MLE	DSL Rays	10	10	28	123	21	9	0	100%	2.8	11.6%	9.1%	2.5%	0.0%	3.90	3.28	—
2023	20	ROK RAW	DSL Rays	10	10	28	123	21	9	0	100%	2.8	17.1%	7.3%	9.8%	0.0%	3.90	2.56	—
2024	21	ROK MLE	FCL Rays	12	5	30	139	23	20	2	42%	2.5	11.3%	18.0%	-6.7%	2.0%	5.10	5.53	—
2024	21	ROK MLE	FCL Rays	12	5	30	139	23	20	2	42%	2.5	11.3%	18.0%	-6.7%	2.0%	5.10	5.53	—
2024	21	ROK RAW	FCL Rays	12	5	30	139	23	20	2	42%	2.5	16.5%	14.4%	2.2%	1.4%	5.10	4.43	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	TB	3	3	18	76	17	9	2	100%	6.0	22.4%	12.1%	10.3%	3.0%	4.76	4.76	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	TB	3	3	20	84	19	9	3	100%	6.7	22.9%	11.1%	11.8%	3.0%	4.64	4.59	+0.1
2028	25	MLB CTX	TB	2	2	9	38	9	4	1	100%	4.5	22.9%	11.1%	11.8%	3.0%	4.64	4.59	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		1	1	9	36	8	4	1	100%	8.6	22.9%	11.1%	11.8%	3.0%	4.64	4.21	+0.1
/ 200 IP	—	RAW		34	34	200	844	187	94	23	100%	5.9	22.9%	11.1%	11.8%	3.0%	4.64	4.21	+1.6
Career	—	MLE		34	18	78	354	44	52	3	53%	2.3	12.3%	14.8%	-2.5%	0.8%	4.37	4.37	+0.1
/ 200 IP	—	MLE		87	46	200	904	111	134	7	53%	2.3	12.3%	14.8%	-2.5%	0.8%	4.37	4.37	+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
Wander Ventura (OGILVIE)	—	—	4.76	22.4%	12.1%	3.0%	—	4.59	22.9%	11.8%	20	-0.17	—	—	—
Ray Gaither R 2022 · 4.85 FIP	24	SP-	4.85	21.9%	13.2%	3.5%	.314	4.34	18.3%	5.8%	123	-0.51	3.84	164	83
Casey Legumina R 2021 · 4.08 FIP	24	SP-	4.08	23.3%	9.3%	3.2%	.260	4.33	20.2%	11.3%	189	+0.25	3.54	355	81
Mitch Neunborn R 2023 · 3.65 FIP	26	SP-	3.65	24.5%	9.5%	2.6%	.232	5.11	17.6%	6.7%	206	+1.46	3.65	248	79
Jeff Niemann R 2008 · 5.04 FIP	25	SW	5.04	18.4%	10.5%	4.0%	.294	4.16	17.4%	10.3%	490	-0.88	2.96	544	78
Keagan Gillies R 2022 · 5.68 FIP	24	SP-	5.68	17.2%	11.3%	4.7%	.370	3.54	23.5%	13.9%	142	-2.14	2.93	177	77
Hunter Gregory R 2023 · 4.06 FIP	24	SW	4.06	20.0%	12.1%	2.0%	.322	5.10	20.1%	8.3%	161	+1.04	3.84	249	76
Brad Deppermann R 2021 · 4.51 FIP	25	SW	4.51	17.1%	9.6%	3.0%	.289	3.52	20.0%	7.8%	45	-0.99	1.94	143	76
Alfredo Figaro R 2009 · 4.98 FIP	25	SP-	4.98	19.3%	12.0%	3.6%	.370	4.42	7.2%	-1.5%	15	-0.56	3.75	143	75
Blair Henley R 2021 · 5.02 FIP	24	SP-	5.02	20.8%	12.2%	3.9%	.450	4.51	17.7%	5.4%	170	-0.51	3.97	187	74
Shohei Tomioka R 2021 · 4.00 FIP	25	SW	4.00	18.9%	9.0%	2.5%	.311	4.39	17.2%	4.0%	141	+0.39	3.65	301	73
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	73
Trent Fennell R 2019 · 4.08 FIP	23	SW	4.08	20.6%	12.2%	2.1%	.328	5.52	19.4%	3.5%	107	+1.44	4.08	163	73
Sean Mooney R 2022 · 4.70 FIP	24	SP-	4.70	24.7%	13.5%	3.6%	.277	—	—	—	—	—	3.36	102	73
Peyton Pallette R 2024 · 4.38 FIP	23	SW	4.38	20.7%	10.9%	3.0%	.309	3.59	25.9%	13.5%	119	-0.79	3.54	273	73
Zach Linginfelter R 2021 · 5.53 FIP	24	SP-	5.53	19.1%	16.0%	3.7%	.295	5.01	18.8%	-0.6%	46	-0.52	3.62	109	72
Daniel Corcino R 2014 · 4.37 FIP	23	SP-	4.37	18.8%	12.5%	2.3%	.208	4.14	19.6%	10.0%	76	-0.23	3.84	318	72
Greyfer Eregua R 2017 · 4.87 FIP	23	SP-	4.87	18.3%	9.3%	3.9%	.317	—	—	—	—	—	3.73	126	72
Jeff Manship R 2009 · 4.69 FIP	24	SW	4.69	14.4%	10.3%	2.7%	.330	4.23	14.9%	9.5%	51	-0.46	2.83	250	72
Tanner Hall R 2024 · 4.67 FIP	22	SP-	4.67	18.8%	11.2%	3.2%	.295	5.33	10.1%	-4.6%	72	+0.66	4.67	137	72
Drew Rasmussen R 2019 · 3.64 FIP	24	SP-	3.64	24.6%	12.6%	1.9%	.312	3.21	22.7%	16.2%	237	-0.43	1.21	694	72