Osiel Rodriguez

P Tampa Tarpons

Age 25 RHP 6'2" / 210 lbs A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	20	MIX2 levels	13	35	4.37	2.50	28.6%	5.4%	—	K 19.6% · BB 6.6% · FIP 3.38
2023	21	MIX3 levels	25	37	3.62	3.26	32.5%	12.3%	—	K 22.7% · BB 15.7% · FIP 4.82
2024	22	ANYY	30	56	2.56	4.02	29.7%	12.2%	—	K 22.0% · BB 14.4% · FIP 5.62
2027PROJ	25	MLBNYY	37	39	4.66	4.66	23.1%	11.5%	-0.0
2028PROJ43% MLB	26	MLBNYY	16	17	4.61	4.60	23.3%	11.3%	-0.0

Next 2 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsJesus Pirela (age 26) · Barrett Loseke (age 25) · Garrett Mock (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 122114vR 105

ERA4.66

FIP4.66

K%23.1%

BB%11.5%

K-BB%11.5%

Proj IP39

Value2027 · WAR

Runs saved vs league avg · 39 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)
2019	17	ROK MLE	DSL Yankees	5	4	10	47	9	4	1	80%	1.9	19.1%	8.5%	10.6%	2.1%	5.59	3.73	—
2019	17	ROK RAW	DSL Yankees	5	4	10	47	9	4	1	80%	1.9	19.1%	8.5%	10.6%	2.1%	5.59	3.82	—
2021	19	ROK MLE	FCL Yankees	6	0	9	37	11	2	1	0%	1.4	29.7%	5.4%	24.3%	2.7%	4.15	2.76	—
2021	19	ROK RAW	FCL Yankees	6	0	9	37	11	2	1	0%	1.4	29.7%	5.4%	24.3%	2.7%	4.15	2.75	—
2022	20	MIX MLE	2 levels	13	0	35	147	42	8	3	0%	2.7	19.6%	6.6%	12.9%	2.0%	4.37	3.38	—
2022	20	MIX RAW	2 levels	13	0	35	147	42	8	3	0%	2.7	28.6%	5.4%	23.1%	2.0%	4.37	2.50	—
2023	21	MIX MLE	3 levels	25	0	37	163	53	20	4	0%	1.5	22.7%	15.7%	7.0%	3.0%	3.62	4.82	—
2023	21	MIX RAW	3 levels	25	0	37	163	53	20	4	0%	1.5	32.5%	12.3%	20.2%	2.5%	3.62	3.26	—
2024	22	A MLE	Tampa Tarpons	30	0	56	229	68	28	8	0%	1.9	22.0%	14.4%	7.5%	4.6%	2.56	5.62	—
2024	22	A MLE	Tampa Tarpons	30	0	56	229	68	28	8	0%	1.9	22.0%	14.4%	7.5%	4.6%	2.56	5.62	—
2024	22	A RAW	Tampa Tarpons	30	0	56	229	68	28	8	0%	1.9	29.7%	12.2%	17.5%	3.5%	2.56	4.02	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	NYY	37	0	39	165	38	19	5	0%	1.1	23.1%	11.5%	11.5%	3.0%	4.66	4.66	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	NYY	38	0	39	166	39	19	5	0%	1.0	23.3%	11.3%	12.0%	3.0%	4.61	4.60	-0.0
2028	26	MLB CTX	NYY	16	0	17	72	17	8	2	0%	1.1	23.3%	11.3%	12.0%	3.0%	4.61	4.60	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		16	0	17	71	17	8	2	0%	1.1	23.3%	11.3%	12.0%	3.0%	4.61	4.22	+0.1
/ 200 IP	—	RAW		190	0	200	844	202	95	24	0%	1.1	23.3%	11.3%	12.0%	3.0%	4.61	4.22	+0.8
Career	—	MLE		79	4	147	623	136	74	20	5%	1.9	21.8%	11.9%	9.9%	3.3%	3.55	4.57	-0.0
/ 200 IP	—	MLE		107	5	200	848	185	101	28	5%	1.9	21.8%	11.9%	9.9%	3.3%	3.55	4.57	-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
Osiel Rodriguez (OGILVIE)	—	—	4.66	23.1%	11.5%	3.0%	—	4.60	23.3%	12.0%	39	-0.06	—	—	—
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	89
Barrett Loseke R 2022 · 4.42 FIP	25	SU	4.42	21.7%	10.1%	3.4%	.311	5.24	23.5%	12.2%	22	+0.82	4.42	152	89
Garrett Mock R 2008 · 3.57 FIP	25	SU	3.57	25.6%	11.1%	2.2%	.300	4.06	17.1%	7.4%	91	+0.49	3.57	132	89
Chris Jefferson R 2022 · 3.53 FIP	25	SU	3.53	22.4%	10.2%	1.9%	.330	4.99	16.5%	3.9%	101	+1.46	3.53	140	88
Cody Tucker R 2024 · 4.97 FIP	25	SU	4.97	22.0%	12.0%	4.0%	.272	5.36	15.8%	-1.9%	40	+0.39	4.97	105	88
Grant Balfour R 2003 · 4.13 FIP	25	SU	4.13	26.1%	10.4%	3.5%	.275	3.79	24.4%	12.8%	39	-0.34	2.04	533	87
Austin Ross R 2019 · 4.41 FIP	24	SU	4.41	20.7%	9.6%	3.4%	.281	5.19	21.2%	5.7%	55	+0.78	4.41	121	86
Ben Hecht R 2019 · 4.51 FIP	24	SU	4.51	22.7%	12.9%	3.1%	.293	7.98	14.1%	-11.4%	13	+3.47	4.39	155	86
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	86
Jackson Hicks R 2023 · 3.90 FIP	25	SU	3.90	22.6%	10.5%	2.5%	.336	—	—	—	—	—	2.17	116	86
Taylor Floyd R 2023 · 4.34 FIP	25	SU	4.34	21.7%	10.8%	3.1%	.331	4.61	18.4%	8.9%	192	+0.27	3.48	359	86
Dusty Isaacs R 2017 · 4.00 FIP	25	SU	4.00	23.1%	10.8%	2.7%	.255	4.62	21.6%	9.9%	86	+0.62	3.16	253	85
Jordan Milbrath R 2017 · 4.05 FIP	25	SU	4.05	19.9%	10.4%	2.4%	.272	3.61	19.6%	9.7%	129	-0.44	3.19	386	85
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	85
Darin Gillies R 2018 · 4.81 FIP	25	SU	4.81	22.2%	10.2%	4.2%	.294	4.83	23.2%	12.8%	106	+0.02	4.22	295	84
Dylan Hall R 2023 · 3.98 FIP	25	SU	3.98	21.0%	13.2%	1.8%	.305	7.24	15.1%	2.4%	58	+3.26	3.47	153	84
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	84
Cameron Gann R 2017 · 4.22 FIP	24	SU	4.22	21.4%	12.4%	2.5%	.296	5.36	21.1%	6.8%	23	+1.14	3.58	146	84
Francisco Del Rosario R 2006 · 5.13 FIP	25	SU	5.13	19.4%	13.0%	3.7%	.290	3.93	19.7%	10.3%	26	-1.20	3.93	194	84
Shawn Tolleson R 2012 · 3.86 FIP	24	SU	3.86	24.4%	11.9%	2.4%	.265	3.47	24.4%	18.5%	144	-0.39	3.05	218	84

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	0.4	39	23.2%	11.4%	1.17	4.63
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
José Cisnero ('24)	1.4	46	24.0%	11.3%	1.01	4.16
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
David Aardsma ('15)	1.7	48	23.1%	12.4%	1.09	4.27
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*