Jake Murray

P Fort Myers Mighty Mussels

Age 26 LHP 6'1" / 215 lbs A

Overview

APROSPECT

MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	25	AMIN	25	30	6.23	2.84	30.4%	15.5%	—	K 22.5% · BB 18.3% · FIP 4.00
2027PROJ	26	MLBMIN	17	18	5.14	5.14	22.9%	16.1%	-0.1
2028PROJ36% MLB	27	MLBMIN	10	10	5.08	5.10	22.9%	15.5%	-0.1

Next 2 projected WAR -0.2Projected 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 99%

CompsHector Mercado (age 26) · Nick Hagadone (age 26) · Jake Rice (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 115123vR 131

ERA5.14

FIP5.14

K%22.9%

BB%16.1%

K-BB%6.8%

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)
2026	25	A MLE	Fort Myers Mighty Mussels	25	0	30	148	45	23	1	0%	1.2	22.5%	18.3%	4.2%	0.9%	6.23	4.00	—
2026	25	A MLE	Fort Myers Mighty Mussels	25	0	30	148	45	23	1	0%	1.2	22.5%	18.3%	4.2%	0.9%	6.23	4.00	—
2026	25	A RAW	Fort Myers Mighty Mussels	25	0	30	148	45	23	1	0%	1.2	30.4%	15.5%	14.9%	0.7%	6.23	2.84	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	MIN	17	0	18	76	17	12	2	0%	1.1	22.9%	16.1%	6.8%	2.8%	5.14	5.14	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	MIN	26	0	27	114	26	18	3	0%	1.0	22.9%	15.5%	7.5%	2.9%	5.08	5.10	-0.2
2028	27	MLB CTX	MIN	10	0	10	42	10	7	1	0%	1.0	22.9%	15.5%	7.5%	2.9%	5.08	5.10	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	41	9	6	1	0%	1.1	23.0%	15.5%	7.5%	2.9%	5.08	4.72	-0.0
/ 200 IP	—	RAW		190	0	200	844	184	123	20	0%	1.1	23.0%	15.5%	7.5%	2.9%	5.08	4.72	-0.4
Career	—	MLE		25	0	30	148	33	27	1	0%	1.2	22.5%	18.3%	4.2%	0.9%	6.23	4.00	-0.2
/ 200 IP	—	MLE		165	0	200	976	220	179	9	0%	1.2	22.5%	18.3%	4.2%	0.9%	6.23	4.00	-1.3

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
Jake Murray (OGILVIE)	—	—	5.14	22.9%	16.1%	2.8%	—	5.10	22.9%	7.5%	27	-0.04	—	—	—
Hector Mercado L 2000 · 4.79 FIP	26	SU	4.79	21.7%	13.3%	3.3%	.270	4.22	22.9%	10.0%	111	-0.57	3.47	125	89
Nick Hagadone L 2012 · 4.74 FIP	26	SU	4.74	22.4%	12.9%	3.5%	.310	3.88	24.6%	14.7%	82	-0.86	2.97	141	86
Jake Rice L 2023 · 4.41 FIP	26	SU	4.41	23.4%	18.1%	1.8%	.305	4.87	19.0%	4.3%	103	+0.46	3.16	199	85
Trey Jeans L 2022 · 5.09 FIP	26	SU	5.09	22.3%	16.5%	3.3%	.291	—	—	—	—	—	2.74	111	85
C.J. Widger L 2024 · 4.21 FIP	25	SU	4.21	26.0%	16.0%	2.3%	.258	5.75	18.1%	-0.7%	57	+1.54	3.83	105	83
Matt Thornton L 2004 · 4.18 FIP	27	SU	4.18	20.3%	16.2%	1.4%	.304	4.18	21.8%	11.5%	167	-0.00	1.71	663	83
Brian Moran L 2015 · 4.50 FIP	26	SU	4.50	17.7%	14.1%	2.0%	.318	2.74	25.0%	17.4%	80	-1.76	1.80	421	82
Andy Fisher L 2022 · 4.20 FIP	26	SU	4.20	21.5%	15.4%	1.8%	.333	4.25	17.2%	6.3%	52	+0.05	3.13	167	82
Kevin Chapman L 2014 · 4.63 FIP	26	SU	4.63	19.6%	11.3%	3.2%	.297	3.30	22.3%	12.4%	137	-1.33	3.01	194	81
Trey Cumbie L 2022 · 5.07 FIP	26	SU	5.07	23.3%	16.1%	3.4%	.215	—	—	—	—	—	3.44	152	80
Matt Purke L 2016 · 4.25 FIP	26	SU	4.25	19.1%	13.9%	1.8%	.284	3.54	21.4%	8.8%	112	-0.71	3.01	226	80
Mitchell Tyranski L 2024 · 4.90 FIP	26	SU	4.90	21.0%	12.3%	3.7%	.234	3.46	20.5%	4.0%	57	-1.44	3.46	145	80
Brendan Nail L 2022 · 4.27 FIP	26	SU	4.27	22.6%	12.5%	2.7%	.311	4.36	19.3%	8.8%	53	+0.09	3.45	165	80
Graeme Stinson L 2023 · 4.85 FIP	25	SU	4.85	19.5%	15.6%	2.6%	.302	—	—	—	—	—	3.56	146	79
John Bale L 2001 · 4.41 FIP	27	SU	4.41	18.6%	15.0%	1.8%	.219	4.12	19.0%	13.9%	46	-0.29	2.49	168	79
Juan Pablo Perez L 2007 · 5.32 FIP	28	SU	5.32	17.5%	14.0%	3.5%	.324	—	—	—	—	—	1.75	104	79
Andrew Walling L 2024 · 4.05 FIP	24	SU	4.05	23.4%	13.2%	2.3%	.281	3.73	20.8%	7.5%	52	-0.32	3.14	161	79
Adam McCreery L 2019 · 4.29 FIP	26	SU	4.29	20.7%	14.5%	2.0%	.323	—	—	—	—	—	3.12	207	79
Fabian Williamson L 2015 · 5.31 FIP	26	SU	5.31	17.4%	17.9%	2.6%	.289	4.16	20.0%	8.2%	77	-1.15	3.39	154	79
Seth Clark L 2024 · 5.66 FIP	24	SU	5.66	18.9%	16.2%	3.9%	.267	4.56	17.7%	-2.7%	32	-1.10	4.23	128	78