Cade Vernon

P Eugene Emeralds

Age 25 RHP 6'2" / 211 lbs A+

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	23	ASF	36	0	56	1.60	3.06	19.5%	6.8%	—	K 14.5% · BB 8.0% · FIP 3.61
2026	24	A+SF	30	7	76	4.52	4.30	11.8%	10.4%	—	K 9.1% · BB 12.0% · FIP 4.84
2027PROJ	25	MLBSF	67	0	70	5.58	5.58	10.0%	11.7%	-0.8
2028PROJ43% MLB	26	MLBSF	29	0	30	5.38	5.33	12.7%	11.5%	-0.3
2029PROJ63% MLB	27	MLBSF	41	0	43	5.30	5.30	13.5%	11.4%	-0.4

Next 3 projected WAR -1.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff30Control50Command40

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 100%

CompsStarling Peralta (age 25) · Zach Nuding (age 25) · Ian Villers (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 139131vR 123

ERA5.58

FIP5.58

K%10.0%

BB%11.7%

K-BB%-1.7%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF3030

CTRL5050

CMD4040

K†3030

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	23	A MLE	San Jose Giants	36	0	56	220	43	15	3	0%	1.6	14.5%	8.0%	6.4%	1.3%	1.60	3.61	—
2025	23	A MLE	San Jose Giants	36	0	56	220	43	15	3	0%	1.6	14.5%	8.0%	6.4%	1.3%	1.60	3.61	—
2025	23	A RAW	San Jose Giants	36	0	56	220	43	15	3	0%	1.6	19.5%	6.8%	12.7%	1.4%	1.60	3.06	—
2026	24	A+ MLE	Eugene Emeralds	30	7	76	346	41	36	5	23%	2.5	9.1%	12.0%	-2.8%	1.8%	4.52	4.84	—
2026	24	A+ MLE	Eugene Emeralds	30	7	76	346	41	36	5	23%	2.5	9.1%	12.0%	-2.8%	1.8%	4.52	4.84	—
2026	24	A+ RAW	Eugene Emeralds	30	7	76	346	41	36	5	23%	2.5	11.8%	10.4%	1.4%	1.4%	4.52	4.30	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	SF	67	0	70	296	30	35	8	0%	1.0	10.0%	11.7%	-1.7%	2.7%	5.58	5.58	-0.8
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	SF	67	0	70	296	38	34	8	0%	1.0	12.7%	11.5%	1.3%	2.7%	5.38	5.33	-0.6
2029	27	MLB MLE	SF	66	0	69	291	39	33	8	0%	1.0	13.5%	11.4%	2.2%	2.8%	5.30	5.30	-0.6
2030	28	MLB MLE	SF	64	0	67	282	39	32	8	0%	1.0	13.9%	11.4%	2.5%	2.9%	5.30	5.33	-0.6
2031	29	MLB MLE	SF	61	0	64	270	38	31	8	0%	1.0	13.9%	11.6%	2.3%	3.0%	5.37	5.44	-0.6
2028	26	MLB CTX	SF	29	0	30	127	16	15	3	0%	1.0	12.7%	11.5%	1.3%	2.7%	5.38	5.33	-0.3
2029	27	MLB CTX	SF	41	0	43	182	25	21	5	0%	1.0	13.5%	11.4%	2.2%	2.8%	5.30	5.30	-0.4
2030	28	MLB CTX	SF	48	0	50	211	29	24	6	0%	1.0	13.9%	11.4%	2.5%	2.9%	5.30	5.33	-0.4
2031	29	MLB CTX	SF	50	0	52	220	31	25	7	0%	1.0	13.9%	11.6%	2.3%	3.0%	5.37	5.44	-0.5
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		167	0	176	742	101	85	21	0%	1.1	13.6%	11.4%	2.2%	2.9%	5.33	4.97	-0.9
/ 200 IP	—	RAW		190	0	200	844	115	97	24	0%	1.1	13.6%	11.4%	2.2%	2.9%	5.33	4.97	-1.0
Career	—	MLE		66	7	132	566	63	59	9	11%	2.0	11.2%	10.4%	0.8%	1.6%	3.27	4.36	-2.5
/ 200 IP	—	MLE		100	11	200	858	96	90	14	11%	2.0	11.2%	10.4%	0.8%	1.6%	3.27	4.36	-1.8

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
Cade Vernon (OGILVIE)	—	—	5.58	10.0%	11.7%	2.7%	—	5.32	13.4%	2.0%	206	-0.26	—	—	—
Starling Peralta R 2016 · 4.49 FIP	25	SU	4.49	9.9%	10.0%	1.7%	.261	—	—	—	—	—	4.49	117	85
Zach Nuding R 2015 · 4.76 FIP	25	SU	4.76	12.5%	10.5%	2.5%	.236	5.03	12.6%	3.3%	106	+0.27	4.76	146	83
Ian Villers R 2024 · 4.55 FIP	23	SU	4.55	13.2%	11.9%	1.9%	.311	4.23	15.6%	5.2%	59	-0.32	4.23	107	82
Kender Villegas R 2017 · 4.70 FIP	24	SU	4.70	13.3%	13.3%	1.9%	.269	—	—	—	—	—	3.26	131	82
Jarod Wright R 2022 · 5.73 FIP	25	SU	5.73	12.7%	13.2%	3.7%	.282	4.46	13.2%	3.8%	53	-1.27	4.46	170	82
Dillon McNamara R 2017 · 5.01 FIP	25	SW	5.01	13.3%	11.1%	3.0%	.229	3.00	21.2%	12.3%	69	-2.01	1.73	244	81
Clate Schmidt R 2019 · 5.66 FIP	25	SU	5.66	13.5%	13.9%	3.5%	.290	—	—	—	—	—	3.51	160	81
John Kuchno R 2016 · 5.14 FIP	25	SU	5.14	10.2%	8.6%	3.3%	.275	—	—	—	—	—	2.43	162	81
James Pugliese R 2017 · 4.72 FIP	24	SW	4.72	12.5%	11.6%	2.2%	.226	—	—	—	—	—	2.52	218	81
Cooper Adams R 2024 · 5.42 FIP	24	SW	5.42	13.0%	12.2%	3.4%	.275	4.32	21.7%	10.4%	141	-1.10	3.05	221	81
Wuilder Rodriguez R 2018 · 5.25 FIP	25	SU	5.25	11.1%	10.4%	3.2%	.320	4.12	9.2%	1.0%	18	-1.13	3.03	249	81
Mike Hepple R 2015 · 4.46 FIP	25	SU	4.46	11.2%	12.9%	1.2%	.244	5.75	11.1%	-7.4%	59	+1.29	4.46	116	81
Justin Camp R 2018 · 4.56 FIP	25	SU	4.56	13.2%	11.9%	1.9%	.296	—	—	—	—	—	2.59	140	80
Matt Roney R 2003 · 5.54 FIP	23	SW	5.54	10.5%	9.8%	3.8%	.249	—	—	—	—	—	5.54	101	80
Sean White R 2007 · 4.48 FIP	26	SU	4.48	9.7%	12.1%	1.2%	.260	3.96	10.5%	4.1%	99	-0.52	3.75	134	80
El'Hajj Muhammad R 2016 · 4.58 FIP	25	SU	4.58	13.6%	10.0%	2.5%	.285	5.01	7.1%	-2.5%	11	+0.43	4.58	113	80
Philip Walby R 2017 · 4.49 FIP	25	SU	4.49	12.7%	12.0%	1.7%	.311	—	—	—	—	—	3.46	137	80
Juan Paniagua R 2015 · 4.69 FIP	25	SU	4.69	15.7%	11.9%	2.6%	.262	4.63	16.2%	1.8%	93	-0.06	4.57	151	80
Conner O'Neil R 2019 · 5.78 FIP	24	SU	5.78	12.8%	13.6%	3.7%	.340	6.92	16.4%	4.1%	26	+1.14	2.89	115	79
Robert Coles R 2016 · 4.45 FIP	24	SU	4.45	9.8%	9.4%	1.8%	.291	—	—	—	—	—	3.29	109	79

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.7	68	12.8%	11.5%	1.08	5.39
Luther Hackman ('03)	1.1	71	13.3%	10.9%	1.10	5.09
Rodney Myers ('04)	1.2	60	15.0%	10.3%	1.05	5.07
Mike Mohler ('01)	2.1	60	15.0%	12.4%	0.97	4.99
Russ Swan ('89-'94, -2 WAR*)	1.3	89	12.3%*	9.9%*	1.13*	5.09*
Jim Winn ('83-'88, -1 WAR*)	1.5	77	15.1%*	11.0%*	1.09*	4.96*
Greg Booker ('83-'90, -1 WAR*)	1.3	53	13.3%*	10.2%*	1.07*	4.51*