Julio Rodriguez

P Corpus Christi Hooks

Age 27 RHP 6'3" / 180 lbs AA

Overview

AAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	24	MIX3 levels	38	54	3.48	2.90	26.7%	10.8%	—	K 20.8% · BB 12.8% · FIP 3.55
2025	25	MIX2 levels	21	32	6.40	2.48	32.0%	10.9%	—	K 24.1% · BB 12.3% · FIP 3.43
2026	26	MIX2 levels	31	37	5.40	3.29	28.9%	15.6%	—	K 24.2% · BB 11.5% · FIP 3.58
2027PROJ	27	MLBHOU	17	18	4.45	4.45	23.5%	11.5%	0.0
2028PROJ38% MLB	28	MLBHOU	8	8	4.49	4.52	23.4%	11.4%	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 0, comp-based) · star 0% · didn't stick 98%

CompsFernando Rodriguez Jr. (age 27) · Chaz Roe (age 26) · Tom Wilhelmsen (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 118110vR 101

ERA4.45

FIP4.45

K%23.5%

BB%11.5%

K-BB%12.1%

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)
2018	18	ROK MLE	AZL Giants Orange	8	0	16	71	15	10	0	0%	2.0	14.4%	17.6%	-3.2%	0.0%	2.20	4.12	—
2018	18	ROK RAW	AZL Giants Orange	8	0	16	71	15	10	0	0%	2.0	21.1%	14.1%	7.0%	0.0%	2.20	3.10	—
2019	19	ROK MLE	AZL Giants Orange	9	0	12	53	13	6	0	0%	1.3	16.7%	14.2%	2.5%	0.0%	4.63	3.48	—
2019	19	ROK RAW	AZL Giants Orange	9	0	12	53	13	6	0	0%	1.3	24.5%	11.3%	13.2%	0.0%	4.63	2.41	—
2022	22	A MLE	San Jose Giants	38	0	48	229	63	34	1	0%	1.3	20.4%	17.5%	2.8%	0.5%	4.34	3.89	—
2022	22	A RAW	San Jose Giants	38	0	48	229	63	34	1	0%	1.3	27.5%	14.8%	12.7%	0.4%	4.34	2.87	—
2023	23	A MLE	San Jose Giants	39	0	57	268	71	33	0	0%	1.5	19.6%	14.5%	5.1%	0.0%	5.97	3.28	—
2023	23	A RAW	San Jose Giants	39	0	57	268	71	33	0	0%	1.5	26.5%	12.3%	14.2%	0.0%	5.97	2.35	—
2024	24	MIX MLE	3 levels	38	0	54	240	64	26	3	0%	1.4	20.8%	12.8%	8.0%	1.1%	3.48	3.55	—
2024	24	MIX MLE	3 levels	38	0	54	240	64	26	3	0%	1.4	20.8%	12.8%	8.0%	1.1%	3.48	3.55	—
2024	24	MIX RAW	3 levels	38	0	54	240	64	26	3	0%	1.4	26.7%	10.8%	15.8%	1.2%	3.48	2.90	—
2025	25	MIX MLE	2 levels	21	0	32	147	47	16	2	0%	1.5	24.1%	12.3%	11.8%	1.5%	6.40	3.43	—
2025	25	MIX MLE	2 levels	21	0	32	147	47	16	2	0%	1.5	24.1%	12.3%	11.8%	1.5%	6.40	3.43	—
2025	25	MIX RAW	2 levels	21	0	32	147	47	16	2	0%	1.5	32.0%	10.9%	21.1%	1.4%	6.40	2.48	—
2026	26	MIX MLE	2 levels	31	0	37	173	50	27	2	0%	1.2	24.2%	11.5%	12.6%	1.9%	5.40	3.58	—
2026	26	MIX MLE	2 levels	31	0	37	173	50	27	2	0%	1.2	24.2%	11.5%	12.6%	1.9%	5.40	3.58	—
2026	26	MIX RAW	2 levels	31	0	37	173	50	27	2	0%	1.2	28.9%	15.6%	13.3%	1.2%	5.40	3.29	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	HOU	17	0	18	76	18	9	2	0%	1.1	23.5%	11.5%	12.1%	2.7%	4.45	4.45	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	HOU	19	0	20	84	20	10	2	0%	1.1	23.4%	11.4%	12.0%	2.9%	4.49	4.52	+0.0
2028	28	MLB CTX	HOU	8	0	8	34	8	4	1	0%	1.0	23.4%	11.4%	12.0%	2.9%	4.49	4.52	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	0	8	32	7	4	1	0%	1.1	23.4%	11.4%	12.0%	2.9%	4.49	4.14	+0.0
/ 200 IP	—	RAW		190	0	200	844	186	106	27	0%	1.1	23.4%	11.4%	12.0%	2.9%	4.49	4.14	+1.0
Career	—	MLE		184	0	256	1181	245	168	9	0%	1.4	20.8%	14.2%	6.6%	0.8%	4.81	3.58	+0.0
/ 200 IP	—	MLE		144	0	200	921	191	131	7	0%	1.4	20.8%	14.2%	6.6%	0.8%	4.81	3.58	+0.1

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
Julio Rodriguez (OGILVIE)	—	—	4.45	23.5%	11.5%	2.7%	—	4.52	23.4%	12.0%	20	+0.07	—	—	—
Fernando Rodriguez Jr. R 2011 · 3.85 FIP	27	SU	3.85	24.7%	10.8%	2.7%	.315	3.90	25.2%	16.5%	70	+0.05	3.34	335	87
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	85
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	85
C.C. Lee R 2014 · 3.77 FIP	27	SU	3.77	20.5%	8.7%	2.4%	.310	2.80	25.7%	17.6%	96	-0.97	2.59	149	85
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	85
Grant Balfour R 2004 · 3.79 FIP	26	SU	3.79	24.4%	11.6%	2.3%	.292	4.01	24.8%	8.3%	25	+0.22	2.04	533	84
Marcos Mateo R 2011 · 3.40 FIP	27	SU	3.40	25.5%	10.2%	2.1%	.361	—	—	—	—	—	3.12	104	84
Jason Bulger R 2008 · 4.60 FIP	29	SU	4.60	27.4%	12.3%	4.1%	.293	3.94	25.1%	13.3%	90	-0.66	3.78	106	82
Cole McDonald R 2024 · 5.01 FIP	27	SU	5.01	20.9%	12.7%	3.8%	.281	—	—	—	—	—	2.81	153	82
Francisco Del Rosario R 2007 · 3.93 FIP	26	SU	3.93	19.7%	9.4%	2.4%	.356	—	—	—	—	—	3.93	194	82
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
Jacob Bosiokovic R 2021 · 3.93 FIP	27	SU	3.93	26.4%	14.3%	2.3%	.274	4.80	21.7%	10.2%	69	+0.87	3.84	181	82
Brandon Gomes R 2011 · 3.74 FIP	27	SU	3.74	20.0%	10.0%	1.9%	.284	4.17	22.3%	15.2%	71	+0.43	3.48	190	81
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	81
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	81
Ronald Peña R 2019 · 4.55 FIP	27	SU	4.55	20.5%	12.6%	2.9%	.355	4.49	16.5%	6.1%	39	-0.06	3.72	187	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	81
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.85	18.1%	10.3%	272	-1.01	3.52	391	81
Fernando Rodney R 2003 · 3.34 FIP	26	SU	3.34	23.1%	11.2%	1.4%	.359	3.63	21.9%	12.9%	116	+0.29	1.85	933	81
Scott Dohmann R 2005 · 4.93 FIP	27	SU	4.93	24.5%	12.6%	4.2%	.321	4.69	18.9%	7.5%	96	-0.24	4.28	173	81