José Rodríguez

José Rodríguez P Tacoma Rainiers

Age 30 RHP 6'2" / 175 lbs AAA

2026 ROS PROJECTION0 act + 4 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 125117vR 109

ERA4.84

FIP4.84

K%17.5%

BB%8.6%

K-BB%8.9%

ROS IP4

Value2026 · WAR

Runs saved vs league avg · 4 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

K†4040

Statcast Percentiles

FB Velo

p3493.4

Whiff%

p2722.1%

p1015.5%

xwOBA vs

p100.372

CH+0.9

SL+0.6

FB-1.6

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 + 2026 so far)
2015	19	ROK MLE	Orem Owlz	15	15	62	271	58	16	5	100%	4.1	14.6%	7.4%	7.2%	2.6%	4.79	4.22	—
2015	19	ROK RAW	Orem Owlz	15	15	62	271	58	16	5	100%	4.1	21.4%	5.9%	15.5%	1.8%	4.79	3.05	—
2016	20	A MLE	Burlington Bees	27	27	132	557	115	32	4	100%	4.9	15.3%	6.8%	8.5%	0.7%	3.14	3.07	—
2016	20	A RAW	Burlington Bees	27	27	132	557	115	32	4	100%	4.9	20.6%	5.7%	14.9%	0.7%	3.14	2.48	—
2017	21	A+ MLE	Inland Empire 66ers	27	27	149	663	134	44	11	100%	5.5	15.6%	7.6%	7.9%	2.1%	5.18	3.88	—
2017	21	A+ RAW	Inland Empire 66ers	27	27	149	663	134	44	11	100%	5.5	20.2%	6.6%	13.6%	1.7%	5.18	3.15	—
2018	22	AA MLE	Mobile BayBears	23	23	115	523	105	41	10	100%	5.0	16.3%	8.6%	7.6%	2.4%	6.12	4.13	—
2018	22	AA RAW	Mobile BayBears	23	23	115	523	105	41	10	100%	5.0	20.1%	7.8%	12.2%	1.9%	6.12	3.48	—
2019	23	MIX MLE	3 levels	32	8	81	367	82	39	14	25%	2.5	19.6%	11.1%	8.5%	3.9%	5.64	5.01	-0.4
2019	23	MIX RAW	3 levels	32	8	81	367	82	39	14	25%	2.5	22.3%	10.6%	11.7%	3.8%	5.64	4.76	-0.2
2020	24	MLB MLE	Los Angeles Angels	1	0	2	8	0	1	0	0%	1.7	0.0%	12.5%	-12.5%	0.0%	0.00	4.68	-0.0
2020	24	MLB RAW	Los Angeles Angels	1	0	2	8	0	1	0	0%	1.7	0.0%	12.5%	-12.5%	0.0%	0.00	4.90	-0.0
2021	25	MIX MLE	2 levels	23	21	101	417	93	26	17	91%	4.4	19.2%	6.6%	12.6%	4.6%	4.47	4.82	—
2021	25	MIX RAW	2 levels	23	21	101	417	93	26	17	91%	4.4	22.3%	6.2%	16.1%	4.1%	4.47	4.22	—
2022	26	AAA MLE	Syracuse Mets	29	11	76	331	68	36	14	38%	2.6	18.1%	11.4%	6.7%	4.5%	4.95	5.49	—
2022	26	AAA RAW	Syracuse Mets	29	11	76	331	68	36	14	38%	2.6	20.5%	10.9%	9.7%	4.2%	4.95	5.12	—
2023	27	MIX MLE	2 levels	32	13	83	378	63	34	18	41%	2.6	14.1%	8.1%	5.9%	4.7%	7.51	5.51	-0.9
2023	27	MIX MLE	2 levels	32	13	83	378	63	34	18	41%	2.6	14.1%	8.1%	5.9%	4.7%	7.51	5.51	-0.9
2023	27	MIX RAW	2 levels	32	13	83	378	63	34	18	41%	2.6	16.7%	9.0%	7.7%	4.8%	7.51	5.64	-1.0
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			11	1	24	104	14	13	5	9%	2.2	13.5%	12.5%	1.0%	4.8%	3.33	6.22	-0.5
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	30	MLB	SEA	1	1	4	17	3	1	1	100%	4.0	17.5%	8.6%	8.9%	3.2%	4.84	4.84	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	SEA	8	8	50	213	37	19	7	100%	6.3	17.3%	9.0%	8.3%	3.4%	4.92	5.02	-0.1
2028	32	MLB MLE	SEA	8	8	47	197	33	19	7	100%	5.8	17.0%	9.4%	7.6%	3.6%	5.08	5.22	-0.2
2029	33	MLB MLE	SEA	7	7	43	181	30	18	7	100%	6.1	16.5%	9.9%	6.6%	3.9%	5.29	5.45	-0.3
2027	31	MLB CTX	SEA	3	3	19	80	14	7	3	100%	6.3	17.3%	9.0%	8.3%	3.4%	4.92	5.02	-0.0
2028	32	MLB CTX	SEA	4	4	26	110	19	10	4	100%	6.5	17.0%	9.4%	7.6%	3.6%	5.08	5.22	-0.1
2029	33	MLB CTX	SEA	5	5	29	122	20	12	5	100%	5.8	16.5%	9.9%	6.6%	3.9%	5.29	5.45	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		23	13	98	413	66	42	16	57%	4.2	16.0%	10.2%	5.8%	3.9%	4.67	5.21	-0.3
/ 200 IP	—	RAW		48	27	200	847	135	86	33	57%	4.2	16.0%	10.2%	5.8%	3.9%	4.67	5.21	-0.7
Career	—	MLE		209	145	800	3515	578	291	103	69%	3.8	16.4%	8.3%	8.2%	2.9%	5.12	4.37	-0.9
/ 200 IP	—	MLE		52	36	200	878	144	73	26	69%	3.8	16.4%	8.3%	8.2%	2.9%	5.12	4.37	-1.1

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
José Rodríguez (OGILVIE)	—	—	4.84	17.5%	8.6%	3.2%	—	5.22	17.0%	7.6%	140	+0.38	—	—	—
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	85
Zack Segovia R 2015 · 4.78 FIP	32	SP	4.78	15.0%	8.3%	3.4%	.314	3.33	20.2%	14.3%	39	-1.45	3.33	144	80
Hector Noesí R 2015 · 4.37 FIP	28	SP-	4.37	17.6%	8.1%	3.2%	.261	—	—	—	—	—	4.37	250	80
Matt Cain R 2015 · 4.88 FIP	30	SP-	4.88	17.1%	6.8%	4.3%	.296	4.87	15.2%	7.6%	214	-0.01	4.82	294	78
Fabio Castillo R 2017 · 3.98 FIP	28	SP-	3.98	20.9%	8.8%	2.8%	.291	—	—	—	—	—	3.13	195	77
David Hale R 2018 · 4.22 FIP	30	SP-	4.22	15.4%	7.5%	2.7%	.299	3.65	17.1%	11.3%	114	-0.57	3.30	493	77
Juan Omar Espinoza R 2015 · 4.81 FIP	31	SP-	4.81	8.9%	6.6%	3.0%	.346	4.84	8.4%	-0.8%	52	+0.03	4.81	104	75
Yohan Pino R 2015 · 4.13 FIP	31	SP-	4.13	17.8%	5.8%	3.3%	.312	5.33	15.2%	11.6%	35	+1.20	4.13	133	75
Justin Masterson R 2015 · 4.10 FIP	30	SP-	4.10	18.2%	10.5%	2.2%	.307	3.73	17.3%	6.4%	196	-0.37	3.50	269	73
Jair Jurrjens R 2015 · 4.59 FIP	29	SP-	4.59	10.3%	6.9%	2.7%	.365	4.27	16.3%	8.4%	54	-0.32	4.27	125	73
Scott McGregor R 2015 · 4.37 FIP	28	SP-	4.37	11.8%	7.6%	2.4%	.293	—	—	—	—	—	4.37	107	72
Michael Mariot R 2019 · 5.01 FIP	30	SP	5.01	19.8%	11.1%	4.0%	.333	5.03	15.8%	7.4%	182	+0.02	2.40	676	72
Jason Berken R 2015 · 4.34 FIP	31	SW	4.34	13.5%	6.6%	2.8%	.315	4.54	11.5%	3.2%	106	+0.20	4.34	219	72
Miguel Ruiz R 2015 · 5.77 FIP	29	SP-	5.77	8.8%	8.0%	4.4%	.346	5.60	10.6%	-0.4%	53	-0.17	5.60	117	71
Clayton Mortensen R 2015 · 4.41 FIP	30	SP-	4.41	15.0%	12.6%	1.8%	.289	4.43	22.0%	10.3%	115	+0.02	4.31	221	71
Austin Bibens-Dirkx R 2015 · 3.97 FIP	30	SP	3.97	17.4%	7.1%	2.6%	.315	4.94	15.9%	8.7%	305	+0.97	3.97	567	71
Mitch Atkins R 2016 · 3.65 FIP	30	SP-	3.65	21.4%	8.2%	2.4%	.341	4.77	14.3%	6.2%	78	+1.12	3.65	205	71
Tyler Cloyd R 2017 · 4.51 FIP	30	SP-	4.51	16.0%	6.8%	3.5%	.293	4.99	17.2%	9.8%	170	+0.48	3.89	250	71
Jerome Williams R 2015 · 4.72 FIP	33	SP-	4.72	13.4%	5.6%	3.7%	.326	5.81	11.7%	5.6%	74	+1.09	4.72	195	70
Kohei Arihara R 2022 · 4.58 FIP	29	SP-	4.58	16.4%	7.2%	3.5%	.333	—	—	—	—	—	4.58	135	70

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.0	48	17.1%	9.2%	1.35	5.02
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Alex Young ('23)	1.3	52	19.5%	8.6%	1.61	4.43
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Roansy Contreras ('24)	1.2	77	19.5%	10.1%	1.36	4.78
Austin Voth ('24)	1.7	58	22.2%	8.2%	1.50	4.63
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21