Vince Vannelle

P Winston-Salem Dash

Age 29 RHP 5'10" / 202 lbs A+

Overview

A+PROSPECT

MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	24	MIX3 levels	35	0	42	2.98	3.03	28.3%	11.1%	—	K 19.9% · BB 8.6% · FIP 3.71
2023	25	MIX2 levels	35	1	56	6.63	4.70	19.7%	11.3%	—	K 15.5% · BB 12.7% · FIP 5.32
2025	27	MIX2 levels	16	0	25	5.76	3.66	19.2%	4.8%	—	K 14.8% · BB 5.5% · FIP 5.24
2027PROJ	29	MLBCWS	11	0	12	4.38	4.38	20.6%	7.5%	0.0
2028PROJ30% MLB	30	MLBCWS	6	0	6	4.48	4.55	20.5%	8.0%	0.0

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

Contract

No contract data on file.

CompsNeil Wagner (age 29) · Tyler Sturdevant (age 29) · Diego Moreno (age 29)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 116108vR 100

ERA4.38

FIP4.38

K%20.6%

BB%7.5%

K-BB%13.1%

Proj IP12

Value2027 · WAR

Runs saved vs league avg · 12 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 + 2027 so far)
2022	24	MIX MLE	3 levels	35	0	42	180	51	20	3	0%	1.2	19.9%	8.6%	11.3%	2.2%	2.98	3.71	—
2022	24	MIX RAW	3 levels	35	0	42	180	51	20	3	0%	1.2	28.3%	11.1%	17.2%	1.7%	2.98	3.03	—
2023	25	MIX MLE	2 levels	35	1	56	274	54	31	8	3%	1.6	15.5%	12.7%	2.9%	3.5%	6.63	5.32	—
2023	25	MIX RAW	2 levels	35	1	56	274	54	31	8	3%	1.6	19.7%	11.3%	8.4%	2.9%	6.63	4.70	—
2025	27	MIX MLE	2 levels	16	0	25	104	20	5	3	0%	1.6	14.8%	5.5%	9.3%	4.9%	5.76	5.24	—
2025	27	MIX MLE	2 levels	16	0	25	104	20	5	3	0%	1.6	14.8%	5.5%	9.3%	4.9%	5.76	5.24	—
2025	27	MIX RAW	2 levels	16	0	25	104	20	5	3	0%	1.6	19.2%	4.8%	14.4%	2.9%	5.76	3.66	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	CWS	11	0	12	51	10	4	2	0%	1.1	20.6%	7.5%	13.1%	3.1%	4.38	4.38	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	CWS	19	0	20	84	17	7	3	0%	1.1	20.5%	8.0%	12.5%	3.3%	4.48	4.55	0.0
2028	30	MLB CTX	CWS	6	0	6	25	5	2	1	0%	1.0	20.5%	8.0%	12.5%	3.3%	4.48	4.55	0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	6	26	5	2	1	0%	1.0	20.5%	8.0%	12.5%	3.3%	4.48	4.17	+0.0
/ 200 IP	—	RAW		190	0	200	844	165	66	33	0%	1.1	20.5%	8.0%	12.5%	3.3%	4.48	4.17	+0.9
Career	—	MLE		86	1	123	558	94	56	19	1%	1.4	16.8%	10.0%	6.8%	3.3%	5.20	4.78	0.0
/ 200 IP	—	MLE		140	2	200	907	153	91	30	1%	1.4	16.8%	10.0%	6.8%	3.3%	5.20	4.78	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
Vince Vannelle (OGILVIE)	—	—	4.38	20.6%	7.5%	3.1%	—	4.55	20.5%	12.5%	20	+0.17	—	—	—
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	90
Tyler Sturdevant R 2015 · 4.37 FIP	29	SU	4.37	21.3%	8.5%	3.6%	.241	3.97	18.5%	11.9%	118	-0.40	3.44	149	85
Diego Moreno R 2016 · 3.75 FIP	29	SU	3.75	21.0%	8.2%	2.5%	.347	3.13	17.8%	11.9%	54	-0.62	2.29	187	83
Gerardo Sanchez R 2017 · 3.47 FIP	28	SU	3.47	21.6%	8.4%	2.1%	.355	3.58	20.5%	15.1%	56	+0.11	2.65	137	82
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	81
Tyler Walker R 2005 · 4.19 FIP	29	SU	4.19	19.4%	7.5%	3.2%	.303	3.61	19.7%	11.3%	93	-0.58	2.38	289	80
Marc Magliaro R 2018 · 3.94 FIP	28	SU	3.94	19.6%	7.3%	2.9%	.307	—	—	—	—	—	3.94	125	80
Brian Sanches R 2008 · 4.74 FIP	29	SU	4.74	18.5%	9.3%	3.7%	.378	4.01	20.5%	10.8%	182	-0.73	3.39	229	80
Ryan Brasier R 2016 · 3.68 FIP	28	SU	3.68	25.0%	7.7%	3.1%	.289	3.09	24.2%	17.9%	130	-0.59	2.31	426	78
Adrian Garza R 2017 · 4.47 FIP	29	SU	4.47	16.0%	7.0%	3.4%	.351	5.18	9.7%	4.1%	113	+0.71	3.94	229	78
Joel Peralta R 2005 · 4.67 FIP	29	SU	4.67	20.7%	8.3%	4.1%	.227	4.27	18.0%	13.3%	214	-0.40	2.70	648	78
Jeremy Fikac R 2004 · 4.91 FIP	29	SU	4.91	19.6%	8.0%	4.5%	.276	—	—	—	—	—	3.10	136	78
Francisco Mendoza R 2016 · 3.81 FIP	28	SU	3.81	17.9%	7.7%	2.3%	.344	—	—	—	—	—	3.13	120	78
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	78
Evan Scribner R 2013 · 4.06 FIP	28	SU	4.06	16.7%	6.1%	2.9%	.271	4.59	26.9%	25.2%	60	+0.53	3.23	136	78
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	77
Jose Manuel Lopez R 2015 · 5.21 FIP	30	SU	5.21	18.6%	7.6%	4.9%	.373	3.56	18.5%	9.3%	93	-1.65	3.50	170	77
Andrew Robinson R 2017 · 4.32 FIP	29	SU	4.32	23.4%	8.8%	3.8%	.245	—	—	—	—	—	3.19	160	77
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	77
Cody Hall R 2017 · 4.03 FIP	29	SU	4.03	26.8%	10.0%	3.5%	.299	3.92	25.9%	8.4%	19	-0.11	3.51	134	77