Ruddy Gomez

P Wichita Wind Surge

Age 27 RHP 6'2" / 215 lbs AA peak 0.1 · 2027

Overview

AAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	25	MIX3 levels	30	46	1.58	1.76	33.1%	5.2%	—	K 24.6% · BB 5.9% · FIP 2.93
2026	26	MIX3 levels	19	30	3.30	2.33	35.1%	7.6%	—	K 29.3% · BB 8.2% · FIP 3.06
2027PROJ	27	MLBMIN	15	16	3.78	3.78	26.8%	7.7%	0.1
2028PROJ38% MLB	28	MLBMIN	8	8	3.89	3.92	26.3%	8.0%	0.1

Next 2 projected WAR 0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0 WAR median (P10 -0 / P90 1, comp-based) · star 0% · didn't stick 94%

CompsMichael Flynn (age 27) · Simon Castro (age 27) · Santiago Casilla (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 10597vR 89

ERA3.78

FIP3.78

K%26.8%

BB%7.7%

K-BB%19.1%

Proj IP16

Value2027 · WAR

Runs saved vs league avg · 16 IP

Grades · Contract

Scouting Grades

K†6060

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	25	MIX MLE	3 levels	30	0	46	172	57	9	2	0%	1.5	24.6%	5.9%	18.7%	2.1%	1.58	2.93	—
2025	25	MIX MLE	3 levels	30	0	46	172	57	9	2	0%	1.5	24.6%	5.9%	18.7%	2.1%	1.58	2.93	—
2025	25	MIX RAW	3 levels	30	0	46	172	57	9	2	0%	1.5	33.1%	5.2%	27.9%	1.2%	1.58	1.76	—
2026	26	MIX MLE	3 levels	19	0	30	131	46	10	3	0%	1.6	29.3%	8.2%	21.1%	2.6%	3.30	3.06	—
2026	26	MIX MLE	3 levels	19	0	30	131	46	10	3	0%	1.6	29.3%	8.2%	21.1%	2.6%	3.30	3.06	—
2026	26	MIX RAW	3 levels	19	0	30	131	46	10	3	0%	1.6	35.1%	7.6%	27.5%	2.3%	3.30	2.33	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	MIN	15	0	16	68	18	5	2	0%	1.1	26.8%	7.7%	19.1%	2.9%	3.78	3.78	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	MIN	19	0	20	84	22	7	3	0%	1.1	26.3%	8.0%	18.3%	3.0%	3.89	3.92	+0.2
2028	28	MLB CTX	MIN	8	0	8	34	9	3	1	0%	1.0	26.3%	8.0%	18.3%	3.0%	3.89	3.92	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	0	8	32	8	3	1	0%	1.1	26.3%	8.0%	18.3%	3.0%	3.89	3.54	+0.1
/ 200 IP	—	RAW		190	0	200	844	213	80	27	0%	1.1	26.3%	8.0%	18.3%	3.0%	3.89	3.54	+2.4
Career	—	MLE		49	0	76	303	81	21	7	0%	1.5	26.6%	6.9%	19.7%	2.3%	2.26	2.99	+0.1
/ 200 IP	—	MLE		130	0	200	801	213	55	18	0%	1.5	26.6%	6.9%	19.7%	2.3%	2.26	2.99	+1.5

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
Ruddy Gomez (OGILVIE)	—	—	3.78	26.8%	7.7%	2.9%	—	3.92	26.3%	18.3%	20	+0.14	—	—	—
Michael Flynn R 2024 · 3.99 FIP	27	SU	3.99	27.6%	8.3%	3.9%	.277	4.68	16.2%	3.7%	50	+0.69	3.89	168	85
Simon Castro R 2015 · 3.28 FIP	27	SU	3.28	26.4%	8.5%	2.4%	.320	3.58	26.0%	17.6%	128	+0.30	3.01	185	85
Santiago Casilla R 2007 · 3.58 FIP	27	SU	3.58	23.7%	7.8%	2.7%	.257	3.60	19.8%	10.7%	154	+0.02	2.76	647	83
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	83
Scott Atchison R 2004 · 3.61 FIP	28	SU	3.61	27.1%	9.0%	3.0%	.309	4.55	19.1%	11.5%	31	+0.94	2.52	340	83
Anthony Varvaro R 2012 · 3.66 FIP	27	SU	3.66	27.6%	10.5%	2.8%	.311	3.30	17.7%	11.0%	139	-0.36	3.02	208	83
Jose Veras R 2008 · 3.67 FIP	27	SU	3.67	24.9%	9.1%	2.8%	.281	4.10	23.8%	11.7%	169	+0.43	3.37	422	82
Jason Stoffel R 2016 · 3.49 FIP	27	SU	3.49	27.2%	8.0%	3.0%	.293	—	—	—	—	—	3.49	103	81
Kiko Calero R 2003 · 3.54 FIP	28	SU	3.54	31.5%	11.1%	3.1%	.273	3.11	26.1%	18.9%	159	-0.43	2.27	298	81
Marcos Mateo R 2011 · 3.40 FIP	27	SU	3.40	25.5%	10.2%	2.1%	.361	—	—	—	—	—	3.12	104	81
Chaz Roe R 2013 · 4.02 FIP	26	SU	4.02	25.3%	10.5%	3.1%	.259	2.81	24.6%	16.2%	133	-1.21	1.72	279	80
Maikel Cleto R 2016 · 3.44 FIP	27	SU	3.44	27.9%	9.9%	2.6%	.301	3.61	23.6%	14.3%	70	+0.17	2.59	185	80
Wil Browning R 2016 · 2.77 FIP	27	SU	2.77	23.8%	7.4%	1.3%	.292	4.44	17.9%	4.8%	58	+1.67	2.14	162	80
Taylor Williams R 2018 · 3.52 FIP	27	SU	3.52	24.2%	8.9%	2.4%	.309	4.35	22.5%	12.7%	108	+0.83	2.51	309	80
Spencer Patton R 2015 · 3.47 FIP	27	SU	3.47	26.8%	9.6%	2.6%	.295	2.79	30.3%	18.1%	57	-0.68	2.79	239	80
Zach Franklin R 2024 · 3.24 FIP	25	SU	3.24	26.4%	10.9%	1.8%	.301	4.15	27.5%	18.3%	117	+0.91	3.24	158	80
George Kontos R 2012 · 2.87 FIP	27	SU	2.87	24.9%	6.8%	1.8%	.263	3.75	18.2%	13.1%	161	+0.88	2.56	421	80
Matt Ramsey R 2017 · 3.25 FIP	27	SU	3.25	24.2%	9.6%	1.8%	.330	3.21	23.6%	14.6%	81	-0.04	2.42	125	80
Matt Pushard R 2024 · 3.87 FIP	26	SU	3.87	24.1%	8.9%	3.0%	.242	3.29	22.2%	14.0%	115	-0.58	2.84	220	80
Alex Powers R 2019 · 2.88 FIP	27	SU	2.88	27.9%	9.1%	1.8%	.272	4.24	25.0%	14.7%	48	+1.36	2.82	264	79