Gustavo Rodriguez

P Las Vegas Aviators

Age 26 RHP 6'3" / 160 lbs AAA

Overview

AAAPROSPECT

ETA2028MLB%10%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	MIX2 levels	22	0	33	4.32	2.65	22.9%	9.2%	—	K 18.4% · BB 10.6% · FIP 2.89
2025	24	MIX3 levels	39	0	44	1.64	2.90	28.4%	12.6%	—	K 22.6% · BB 13.8% · FIP 3.68
2026	25	MIX2 levels	19	1	25	2.55	2.29	24.0%	9.6%	—	K 18.9% · BB 9.9% · FIP 2.76
2027PROJ	26	MLBOAK	13	0	14	4.43	4.43	21.0%	11.0%	0.0
2028PROJ43% MLB	27	MLBOAK	16	0	17	4.44	4.46	21.2%	10.9%	0.0

Next 2 projected WAR 0.0Projected 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 95%

CompsGuillermo Moscoso (age 25) · Josh Zeid (age 26) · Daniel Corcino (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 117109vR 101

ERA4.43

FIP4.43

K%21.0%

BB%11.0%

K-BB%10.0%

Proj IP14

Value2027 · WAR

Runs saved vs league avg · 14 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)
2018	17	ROK MLE	DSL Cardinals Red	8	1	12	54	4	8	0	12%	1.5	5.0%	18.5%	-13.5%	0.0%	2.25	5.02	—
2018	17	ROK RAW	DSL Cardinals Red	8	1	12	54	4	8	0	12%	1.5	7.4%	14.8%	-7.4%	0.0%	2.25	4.43	—
2019	18	ROK MLE	DSL Cardinals Blue	12	12	57	234	53	11	1	100%	4.8	15.4%	5.9%	9.5%	0.6%	2.04	2.87	—
2019	18	ROK RAW	DSL Cardinals Blue	12	12	57	234	53	11	1	100%	4.8	22.6%	4.7%	17.9%	0.4%	2.04	2.05	—
2021	20	MIX MLE	2 levels	21	11	48	233	52	30	4	52%	2.3	15.6%	16.3%	-0.8%	2.2%	7.26	5.04	—
2021	20	MIX RAW	2 levels	21	11	48	233	52	30	4	52%	2.3	22.3%	12.9%	9.4%	1.7%	7.26	3.89	—
2022	21	A MLE	Palm Beach Cardinals	27	1	58	233	66	25	4	4%	2.1	21.0%	12.7%	8.3%	2.5%	2.65	4.32	—
2022	21	A RAW	Palm Beach Cardinals	27	1	58	233	66	25	4	4%	2.1	28.3%	10.7%	17.6%	1.7%	2.65	3.01	—
2023	22	MIX MLE	2 levels	40	0	70	314	75	37	7	0%	1.8	17.9%	14.1%	3.8%	2.7%	4.86	4.84	—
2023	22	MIX RAW	2 levels	40	0	70	314	75	37	7	0%	1.8	23.9%	11.8%	12.1%	2.2%	4.86	3.84	—
2024	23	MIX MLE	2 levels	22	0	33	153	35	14	1	0%	1.5	18.4%	10.6%	7.8%	0.0%	4.32	2.89	—
2024	23	MIX MLE	2 levels	22	0	33	153	35	14	1	0%	1.5	18.4%	10.6%	7.8%	0.0%	4.32	2.89	—
2024	23	MIX RAW	2 levels	22	0	33	153	35	14	1	0%	1.5	22.9%	9.2%	13.7%	0.7%	4.32	2.65	—
2025	24	MIX MLE	3 levels	39	0	44	183	52	23	2	0%	1.1	22.6%	13.8%	8.8%	1.4%	1.64	3.68	—
2025	24	MIX MLE	3 levels	39	0	44	183	52	23	2	0%	1.1	22.6%	13.8%	8.8%	1.4%	1.64	3.68	—
2025	24	MIX RAW	3 levels	39	0	44	183	52	23	2	0%	1.1	28.4%	12.6%	15.8%	1.1%	1.64	2.90	—
2026	25	MIX MLE	2 levels	19	1	25	104	25	10	0	5%	1.3	18.9%	9.9%	9.0%	0.0%	2.55	2.76	—
2026	25	MIX MLE	2 levels	19	1	25	104	25	10	0	5%	1.3	18.9%	9.9%	9.0%	0.0%	2.55	2.76	—
2026	25	MIX RAW	2 levels	19	1	25	104	25	10	0	5%	1.3	24.0%	9.6%	14.4%	0.0%	2.55	2.29	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	OAK	13	0	14	59	12	7	1	0%	1.1	21.0%	11.0%	10.0%	2.4%	4.43	4.43	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	OAK	37	0	39	165	35	18	4	0%	1.1	21.2%	10.9%	10.3%	2.5%	4.44	4.46	+0.0
2028	27	MLB CTX	OAK	16	0	17	72	15	8	2	0%	1.1	21.2%	10.9%	10.3%	2.5%	4.44	4.46	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		16	0	17	70	15	8	2	0%	1.0	21.2%	10.9%	10.3%	2.5%	4.44	4.08	+0.1
/ 200 IP	—	RAW		190	0	200	844	181	97	24	0%	1.1	21.2%	10.9%	10.3%	2.5%	4.44	4.08	+1.1
Career	—	MLE		188	26	348	1508	269	187	23	14%	1.8	17.8%	12.4%	5.4%	1.5%	3.65	4.01	+0.0
/ 200 IP	—	MLE		108	15	200	867	155	108	13	14%	1.8	17.8%	12.4%	5.4%	1.5%	3.65	4.01	+0.2

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
Gustavo Rodriguez (OGILVIE)	—	—	4.43	21.0%	11.0%	2.4%	—	4.46	21.2%	10.3%	39	+0.03	—	—	—
Guillermo Moscoso R 2009 · 3.56 FIP	25	SU	3.56	18.8%	9.4%	1.6%	.311	4.33	15.8%	8.5%	178	+0.77	3.56	486	85
Josh Zeid R 2013 · 4.00 FIP	26	SU	4.00	20.3%	9.3%	2.6%	.287	4.75	16.2%	4.8%	183	+0.75	4.00	313	84
Daniel Corcino R 2017 · 3.93 FIP	26	SU	3.93	21.7%	11.4%	2.2%	.292	4.91	19.0%	7.9%	223	+0.98	3.84	318	84
Francisco Del Rosario R 2007 · 3.93 FIP	26	SU	3.93	19.7%	9.4%	2.4%	.356	—	—	—	—	—	3.93	194	82
Jesus Pirela R 2015 · 3.84 FIP	26	SU	3.84	23.7%	11.6%	2.3%	.305	3.92	17.1%	13.9%	45	+0.08	3.24	161	82
Josh Lueke R 2011 · 3.24 FIP	26	SU	3.24	20.4%	8.5%	1.4%	.323	4.75	18.7%	12.4%	52	+1.51	2.29	191	82
Josh Roenicke R 2009 · 3.25 FIP	26	SU	3.25	23.9%	10.9%	1.5%	.341	4.17	15.4%	4.7%	124	+0.92	3.25	500	82
Jason Stoffel R 2015 · 3.61 FIP	26	SU	3.61	23.4%	10.1%	2.2%	.267	3.49	27.2%	19.2%	59	-0.12	3.49	103	82
Pedro Villarreal R 2014 · 3.51 FIP	26	SU	3.51	19.4%	9.7%	1.5%	.233	3.86	15.3%	11.4%	102	+0.35	3.32	116	82
Carlos Fisher R 2009 · 3.90 FIP	26	SU	3.90	21.2%	12.8%	1.8%	.317	3.80	18.2%	8.1%	46	-0.10	2.48	245	82
Tom Wilhelmsen R 2011 · 3.28 FIP	27	SU	3.28	22.1%	9.6%	1.5%	.253	3.18	22.9%	13.4%	218	-0.10	2.72	398	81
Garrett Apker R 2024 · 4.01 FIP	24	SU	4.01	19.8%	11.2%	2.1%	.288	8.46	15.4%	-7.6%	11	+4.45	4.01	101	81
Ronald Peña R 2018 · 4.19 FIP	26	SU	4.19	23.4%	11.6%	2.9%	.273	4.52	18.7%	7.1%	88	+0.33	3.72	187	81
Jose Rafael De Paula R 2017 · 4.46 FIP	26	SU	4.46	19.9%	9.8%	3.3%	.278	4.79	22.7%	10.3%	89	+0.33	2.64	315	81
Jacob Bosiokovic R 2019 · 3.84 FIP	25	SU	3.84	17.2%	9.8%	1.7%	.289	4.21	24.7%	12.1%	62	+0.37	3.84	181	81
Jason Boyd R 2000 · 3.68 FIP	27	SU	3.68	19.9%	12.4%	1.2%	.346	4.86	13.9%	2.8%	81	+1.18	3.68	128	80
Luke Bell R 2024 · 3.62 FIP	23	SU	3.62	20.4%	9.9%	1.8%	.295	5.69	13.1%	1.3%	66	+2.07	3.62	110	80
Robbie Baker R 2021 · 3.62 FIP	26	SU	3.62	19.2%	11.3%	1.3%	.303	5.21	19.5%	12.0%	107	+1.59	3.29	181	80
Casey Fien R 2009 · 5.17 FIP	25	SU	5.17	17.0%	11.3%	3.8%	.306	2.79	22.7%	19.2%	35	-2.38	2.79	308	80
Matt Wivinis R 2019 · 3.84 FIP	26	SU	3.84	19.5%	12.2%	1.5%	.262	5.95	14.5%	6.2%	17	+2.11	1.61	124	80

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	0.3	26	21.2%	10.9%	0.97	4.44
Manny Acosta ('12)	1.2	41	20.5%	10.9%	1.09	3.99
Yorkis Perez ('02)	1.4	40	20.8%	11.8%	0.93	4.44
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Ed Vosberg ('86-'02, 1 WAR*)	1.2	47	21.0%*	9.6%*	0.86*	4.06*
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*