Jose M. Rodriguez

P Tampa Tarpons

Age 23 RHP 5'11" / 160 lbs A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	19	ROKDSL NYY Yanke…	6	0	6	9.00	7.60	21.6%	27.0%	—	K 21.6% · BB 27.0% · FIP 6.18
2025	21	MIX2 levels	17	13	72	3.38	3.53	23.5%	14.8%	—	K 16.6% · BB 18.1% · FIP 4.82
2026	22	MIX2 levels	33	0	60	4.07	3.38	28.0%	14.2%	—	K 20.8% · BB 16.6% · FIP 4.53
2027PROJ	23	MLBNYY	59	0	62	6.05	6.05	17.4%	19.7%	-1.0
2028PROJ43% MLB	24	MLBNYY	27	0	28	5.72	5.62	18.6%	17.1%	-0.3
2029PROJ66% MLB	25	MLBNYY	43	0	45	5.46	5.35	19.3%	15.5%	-0.4

Next 3 projected WAR -1.7Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff35Control20Command30

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 98%

CompsGarrett Apker (age 23) · Blake Quinn (age 23) · Cole Percival (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 148140vR 132

ERA6.05

FIP6.05

K%17.4%

BB%19.7%

K-BB%-2.3%

Proj IP62

Value2027 · WAR

Runs saved vs league avg · 62 IP

Grades · Contract

Scouting Grades

STUF3535

CTRL2020

CMD3030

K†4045

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)
2023	19	ROK MLE	DSL NYY Yankees	6	0	6	37	8	10	1	0%	1.0	21.6%	27.0%	-5.4%	2.7%	9.00	6.18	—
2023	19	ROK RAW	DSL NYY Yankees	6	0	6	37	8	10	1	0%	1.0	21.6%	27.0%	-5.4%	2.7%	9.00	7.60	—
2025	21	MIX MLE	2 levels	17	13	72	310	73	46	3	76%	4.2	16.6%	18.1%	-1.6%	1.5%	3.38	4.82	—
2025	21	MIX MLE	2 levels	17	13	72	310	73	46	3	76%	4.2	16.6%	18.1%	-1.6%	1.5%	3.38	4.82	—
2025	21	MIX RAW	2 levels	17	13	72	310	73	46	3	76%	4.2	23.5%	14.8%	8.7%	1.0%	3.38	3.53	—
2026	22	MIX MLE	2 levels	33	0	60	261	73	37	4	0%	1.8	20.8%	16.6%	4.2%	2.0%	4.07	4.53	—
2026	22	MIX MLE	2 levels	33	0	60	261	73	37	4	0%	1.8	20.8%	16.6%	4.2%	2.0%	4.07	4.53	—
2026	22	MIX RAW	2 levels	33	0	60	261	73	37	4	0%	1.8	28.0%	14.2%	13.8%	1.5%	4.07	3.38	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	NYY	59	0	62	262	46	52	7	0%	1.1	17.4%	19.7%	-2.3%	2.8%	6.05	6.05	-1.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	NYY	63	0	66	280	52	48	8	0%	1.1	18.6%	17.1%	1.4%	2.8%	5.72	5.62	-0.8
2029	25	MLB MLE	NYY	64	0	67	284	55	44	8	0%	1.1	19.3%	15.5%	3.8%	2.8%	5.46	5.35	-0.6
2030	26	MLB MLE	NYY	64	0	67	284	56	43	8	0%	1.1	19.7%	15.2%	4.6%	2.8%	5.33	5.28	-0.5
2031	27	MLB MLE	NYY	63	0	66	280	55	42	8	0%	1.1	19.8%	15.1%	4.7%	2.9%	5.29	5.29	-0.5
2032	28	MLB MLE	NYY	61	0	64	271	53	41	8	0%	1.1	19.7%	15.2%	4.4%	3.0%	5.34	5.37	-0.6
2028	24	MLB CTX	NYY	27	0	28	118	22	20	3	0%	1.0	18.6%	17.1%	1.4%	2.8%	5.72	5.62	-0.3
2029	25	MLB CTX	NYY	43	0	45	190	37	29	5	0%	1.0	19.3%	15.5%	3.8%	2.8%	5.46	5.35	-0.4
2030	26	MLB CTX	NYY	50	0	53	224	44	34	6	0%	1.1	19.7%	15.2%	4.6%	2.8%	5.33	5.28	-0.4
2031	27	MLB CTX	NYY	53	0	56	236	47	36	7	0%	1.1	19.8%	15.1%	4.7%	2.9%	5.29	5.29	-0.5
2032	28	MLB CTX	NYY	54	0	57	241	47	37	7	0%	1.1	19.7%	15.2%	4.4%	3.0%	5.34	5.37	-0.5
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		228	0	240	1012	197	156	29	0%	1.1	19.5%	15.5%	4.1%	2.9%	5.39	4.98	-1.2
/ 200 IP	—	RAW		190	0	200	844	164	130	24	0%	1.1	19.5%	15.5%	4.1%	2.9%	5.39	4.98	-1.0
Career	—	MLE		56	13	138	608	114	109	11	23%	2.5	18.7%	18.0%	0.7%	1.8%	3.92	4.78	-3.2
/ 200 IP	—	MLE		81	19	200	883	165	159	16	23%	2.5	18.7%	18.0%	0.7%	1.8%	3.92	4.78	-1.9

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
Jose M. Rodriguez (OGILVIE)	—	—	6.05	17.4%	19.7%	2.8%	—	5.42	19.2%	3.3%	201	-0.63	—	—	—
Garrett Apker R 2023 · 6.24 FIP	23	SW	6.24	15.0%	18.8%	3.7%	.343	4.93	18.9%	5.2%	53	-1.31	4.01	101	86
Blake Quinn R 2017 · 5.41 FIP	23	SW	5.41	16.9%	15.3%	3.3%	.328	4.42	17.1%	3.3%	48	-0.99	4.42	122	86
Cole Percival R 2022 · 5.21 FIP	23	SU	5.21	15.4%	14.5%	2.9%	.297	4.27	17.9%	5.9%	182	-0.94	3.58	327	85
Jon Keller R 2016 · 5.48 FIP	23	SW	5.48	15.3%	20.9%	1.9%	.265	3.84	8.9%	-2.9%	15	-1.64	3.64	156	85
Carlos Polanco R 2017 · 5.71 FIP	23	SU	5.71	13.9%	20.0%	2.3%	.267	—	—	—	—	—	3.70	276	85
Brett Lockwood R 2021 · 5.46 FIP	24	SU	5.46	16.2%	15.5%	3.2%	.312	4.58	11.0%	-6.3%	79	-0.88	4.24	132	83
Jeff Soptic R 2015 · 5.30 FIP	24	SU	5.30	15.5%	17.2%	2.5%	.237	5.52	13.6%	-1.7%	68	+0.22	5.30	124	83
Josue Gerardo R 2016 · 5.33 FIP	23	SU	5.33	17.8%	23.5%	1.4%	.220	5.99	16.5%	-6.0%	30	+0.66	4.59	122	82
Luis Ledo R 2018 · 5.51 FIP	23	SU	5.51	17.1%	17.6%	3.0%	.329	3.65	20.8%	8.0%	85	-1.86	3.27	376	81
Jacob Morris R 2015 · 5.43 FIP	24	SU	5.43	18.0%	19.6%	2.5%	.218	4.77	18.7%	-2.4%	46	-0.66	4.77	102	81
David Lucroy R 2016 · 4.99 FIP	23	SU	4.99	15.8%	16.8%	2.0%	.352	—	—	—	—	—	3.93	103	81
James Acuna R 2021 · 5.12 FIP	23	SU	5.12	21.3%	17.0%	3.0%	.302	4.33	19.4%	4.6%	60	-0.79	4.33	107	81
Jake Eddington R 2024 · 5.02 FIP	23	SW	5.02	18.8%	24.1%	0.8%	.316	4.83	16.6%	-1.5%	105	-0.19	4.70	135	80
Derrick Turnbow R 2000 · 6.58 FIP	22	SU	6.58	13.8%	19.9%	3.9%	.257	1.43	28.3%	22.6%	15	-5.15	1.43	245	80
Cole Aker R 2019 · 5.60 FIP	22	SW	5.60	19.5%	20.6%	2.8%	.239	6.17	12.0%	-9.9%	28	+0.57	3.60	147	80
Victor Santos R 2001 · 4.97 FIP	24	SW	4.97	15.5%	13.4%	2.7%	.231	4.38	16.4%	7.4%	206	-0.59	4.09	602	79
Johan Moreno R 2024 · 6.25 FIP	21	SW	6.25	13.2%	16.7%	3.9%	.325	4.36	20.7%	8.0%	115	-1.89	3.09	216	79
Junior Rincon R 2015 · 4.93 FIP	23	SU	4.93	17.8%	13.8%	2.9%	.318	3.75	17.6%	5.1%	82	-1.18	3.52	113	79
Hayden Snelsire R 2024 · 5.10 FIP	23	SU	5.10	18.9%	13.8%	3.4%	.272	4.28	20.0%	13.7%	135	-0.82	3.83	178	79
Jordan Brink R 2016 · 5.96 FIP	23	SW	5.96	18.3%	19.2%	3.6%	.233	—	—	—	—	—	3.99	132	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	2.0	65	19.1%	16.3%	1.10	5.53
Brian Bruney ('12)	1.3	43	21.2%	15.8%	0.94	4.68
Doug Bochtler ('00)	1.3	65	18.6%	14.4%	1.25	4.57
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Ron Piche ('60-'66, -3 WAR*)	1.1	44	20.6%*	12.8%*	1.14*	5.06*
Dave Jolly ('53-'57, -0 WAR*)	1.5	58	20.2%*	14.3%*	0.91*	4.33*