Jose Menes

P DSL Tampa Bay

Age 23 RHP 6'3" / 175 lbs ROK peak 0.4 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	21	ROKDSL Tampa Bay	12	9	42	5.53	3.57	15.0%	11.2%	—	K 10.2% · BB 14.0% · FIP 4.45
2026	22	ROKDSL Tampa Bay	12	11	49	5.36	2.65	18.8%	7.0%	—	K 12.8% · BB 8.8% · FIP 3.50
2027PROJ	23	MLB—	10	10	52	5.87	5.87	10.5%	13.7%	-0.6
2028PROJ43% MLB	24	MLB—	4	4	23	5.60	5.52	13.5%	13.0%	-0.2
2029PROJ66% MLB	25	MLB—	6	6	36	5.40	5.32	15.3%	12.6%	-0.2

Next 3 projected WAR -0.9Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff20Control35Command20

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 99%

CompsMitchell Boggs (age 24) · Bryce Warrecker (age 22) · Johnny Hellweg (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 145137vR 128

ERA5.87

FIP5.87

K%10.5%

BB%13.7%

K-BB%-3.1%

Proj IP52

Value2027 · WAR

Runs saved vs league avg · 52 IP

Grades · Contract

Scouting Grades

STUF2020

CTRL3535

CMD2020

K†3040

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)
2025	21	ROK MLE	DSL Tampa Bay	12	9	42	187	28	21	1	75%	3.5	10.2%	14.0%	-3.9%	0.8%	5.53	4.45	—
2025	21	ROK MLE	DSL Tampa Bay	12	9	42	187	28	21	1	75%	3.5	10.2%	14.0%	-3.9%	0.8%	5.53	4.45	—
2025	21	ROK RAW	DSL Tampa Bay	12	9	42	187	28	21	1	75%	3.5	15.0%	11.2%	3.7%	0.5%	5.53	3.57	—
2026	22	ROK MLE	DSL Tampa Bay	12	11	49	213	40	15	1	92%	4.1	12.8%	8.8%	4.0%	0.7%	5.36	3.50	—
2026	22	ROK MLE	DSL Tampa Bay	12	11	49	213	40	15	1	92%	4.1	12.8%	8.8%	4.0%	0.7%	5.36	3.50	—
2026	22	ROK RAW	DSL Tampa Bay	12	11	49	213	40	15	1	92%	4.1	18.8%	7.0%	11.7%	0.5%	5.36	2.65	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	—	10	10	52	220	23	30	6	100%	5.2	10.5%	13.7%	-3.1%	2.8%	5.87	5.87	-0.6
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	—	10	10	54	227	31	29	6	100%	5.4	13.5%	13.0%	0.5%	2.8%	5.60	5.52	-0.4
2029	25	MLB MLE	—	9	9	54	230	35	29	6	100%	6.0	15.3%	12.6%	2.7%	2.8%	5.40	5.32	-0.3
2030	26	MLB MLE	—	9	9	54	230	37	28	6	100%	6.0	16.3%	12.4%	3.9%	2.8%	5.27	5.21	-0.2
2031	27	MLB MLE	—	9	9	54	226	37	28	6	100%	6.0	16.5%	12.4%	4.1%	2.9%	5.24	5.23	-0.2
2028	24	MLB CTX	—	4	4	23	97	13	13	3	100%	5.8	13.5%	13.0%	0.5%	2.8%	5.60	5.52	-0.2
2029	25	MLB CTX	—	6	6	36	152	23	19	4	100%	6.0	15.3%	12.6%	2.7%	2.8%	5.40	5.32	-0.2
2030	26	MLB CTX	—	7	7	43	182	30	22	5	100%	6.1	16.3%	12.4%	3.9%	2.8%	5.27	5.21	-0.2
2031	27	MLB CTX	—	8	8	46	194	32	24	6	100%	5.8	16.5%	12.4%	4.1%	2.9%	5.24	5.23	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		25	25	148	624	98	78	18	100%	5.9	15.7%	12.5%	3.2%	2.8%	5.34	4.91	-0.0
/ 200 IP	—	RAW		34	34	200	844	133	106	24	100%	5.9	15.7%	12.5%	3.2%	2.8%	5.34	4.91	-0.0
Career	—	MLE		24	20	91	400	46	45	3	83%	3.8	11.6%	11.2%	0.3%	0.7%	5.44	3.94	-1.0
/ 200 IP	—	MLE		53	44	200	879	102	99	6	83%	3.8	11.6%	11.2%	0.3%	0.7%	5.44	3.94	-1.0

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 Menes (OGILVIE)	—	—	5.87	10.5%	13.7%	2.8%	—	5.35	15.0%	2.4%	162	-0.52	—	—	—
Mitchell Boggs R 2008 · 5.80 FIP	24	SP-	5.80	7.9%	13.4%	3.0%	.298	3.63	18.0%	8.6%	186	-2.17	3.21	330	86
Bryce Warrecker R 2024 · 5.43 FIP	22	SP	5.43	11.3%	11.7%	3.3%	.271	3.82	20.1%	9.6%	91	-1.61	2.47	154	85
Johnny Hellweg R 2013 · 5.63 FIP	24	SP	5.63	5.6%	16.0%	1.8%	.298	5.82	9.6%	-8.1%	82	+0.19	2.98	140	84
John Maine R 2005 · 6.04 FIP	24	SP-	6.04	13.0%	13.0%	4.3%	.242	4.20	20.9%	11.4%	421	-1.84	3.91	582	82
Ryan Jensen R 2001 · 5.03 FIP	25	SP-	5.03	13.5%	13.0%	2.6%	.285	4.82	13.4%	5.2%	185	-0.21	4.35	253	82
Jurgen Jimenez R 2018 · 5.25 FIP	22	SP-	5.25	11.5%	13.3%	2.6%	.283	—	—	—	—	—	3.80	158	80
Yoan López R 2016 · 5.84 FIP	23	SP	5.84	10.4%	12.6%	3.7%	.282	3.67	25.5%	17.4%	153	-2.17	2.21	377	79
Billy Buckner R 2007 · 5.43 FIP	23	SP-	5.43	11.9%	11.2%	3.5%	.305	4.73	18.3%	10.4%	104	-0.70	3.73	252	79
Tyler Schlaffer R 2024 · 5.08 FIP	23	SP-	5.08	14.5%	13.3%	2.8%	.298	4.13	20.3%	7.7%	190	-0.95	3.79	399	79
Troy Miller R 2019 · 5.09 FIP	22	SP	5.09	12.0%	12.7%	2.5%	.299	5.30	18.3%	8.3%	45	+0.21	5.09	168	78
Ian Kennedy R 2008 · 5.04 FIP	23	SP	5.04	13.9%	13.4%	2.6%	.331	3.63	21.4%	14.2%	416	-1.41	2.88	1,929	78
Jason Savacool R 2024 · 4.83 FIP	22	SP-	4.83	14.9%	14.1%	2.2%	.275	4.88	17.2%	4.6%	128	+0.05	4.26	225	78
Reid Schaller R 2019 · 5.18 FIP	22	SP	5.18	16.3%	13.8%	3.1%	.241	4.40	19.9%	7.9%	87	-0.78	3.61	186	78
Brian Bannister R 2006 · 4.93 FIP	25	SP-	4.93	11.1%	11.7%	2.3%	.234	4.32	13.3%	6.6%	502	-0.61	3.97	667	78
Mason Pelio R 2023 · 6.38 FIP	23	SP-	6.38	13.3%	17.4%	4.0%	.255	5.88	9.0%	-12.8%	26	-0.50	5.88	122	78
Jacob Meador R 2024 · 5.34 FIP	23	SP-	5.34	15.6%	14.0%	3.2%	.301	6.73	14.7%	-6.6%	50	+1.39	5.34	139	77
Justin Miller R 2002 · 5.01 FIP	24	SP-	5.01	14.5%	13.6%	2.6%	.280	5.41	12.5%	2.1%	82	+0.40	2.63	373	77
Jaison Vilera R 2019 · 5.62 FIP	22	SP-	5.62	11.2%	12.8%	3.4%	.311	7.05	13.8%	5.5%	87	+1.43	3.67	256	77
Tyler McKay R 2021 · 4.74 FIP	23	SP-	4.74	12.1%	12.8%	1.9%	.275	3.84	17.8%	7.7%	163	-0.90	3.10	275	77
Rubén Menes R 2024 · 5.62 FIP	22	SP-	5.62	15.8%	15.2%	3.5%	.235	4.77	15.6%	2.4%	81	-0.85	3.39	112	77

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	1.3	54	14.4%	12.8%	1.09	5.47
Mike Mohler ('01)	2.1	60	15.0%	12.4%	0.97	4.99
C.J. Nitkowski ('05)	2.4	68	15.8%	11.9%	1.07	5.37
Jesus Colome ('10)	2.1	53	17.3%	11.7%	1.03	4.69
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*