Jack Mahoney

P Lansing Lugnuts

Age 28 LHP 6'8" / 230 lbs A+

Overview

A+PROSPECT

MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	26	A+OAK	20	34	5.29	3.34	21.1%	13.0%	—	K 16.3% · BB 15.0% · FIP 4.09
2026	27	A+OAK	21	24	4.50	4.72	18.8%	12.5%	—	K 14.4% · BB 14.4% · FIP 5.54
2027PROJ	28	MLBOAK	15	16	5.30	5.30	17.7%	13.6%	-0.1
2028PROJ30% MLB	29	MLBOAK	6	6	5.28	5.33	18.0%	13.4%	-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%

CompsJuan Pablo Perez (age 28) · Stephen Randolph (age 29) · John Bale (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 118126vR 134

ERA5.30

FIP5.30

K%17.7%

BB%13.6%

K-BB%4.1%

Proj IP16

Value2027 · WAR

Runs saved vs league avg · 16 IP

Grades · Contract

Scouting Grades

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)
2025	26	A+ MLE	Lansing Lugnuts	20	0	34	161	34	21	1	0%	1.7	16.3%	15.0%	1.3%	0.8%	5.29	4.09	—
2025	26	A+ MLE	Lansing Lugnuts	20	0	34	161	34	21	1	0%	1.7	16.3%	15.0%	1.3%	0.8%	5.29	4.09	—
2025	26	A+ RAW	Lansing Lugnuts	20	0	34	161	34	21	1	0%	1.7	21.1%	13.0%	8.1%	0.6%	5.29	3.34	—
2026	27	A+ MLE	Lansing Lugnuts	21	0	24	112	21	14	3	0%	1.1	14.4%	14.4%	0.1%	3.3%	4.50	5.54	—
2026	27	A+ MLE	Lansing Lugnuts	21	0	24	112	21	14	3	0%	1.1	14.4%	14.4%	0.1%	3.3%	4.50	5.54	—
2026	27	A+ RAW	Lansing Lugnuts	21	0	24	112	21	14	3	0%	1.1	18.8%	12.5%	6.2%	2.7%	4.50	4.72	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	OAK	15	0	16	68	12	9	2	0%	1.1	17.7%	13.6%	4.1%	2.9%	5.30	5.30	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	OAK	19	0	20	84	15	11	3	0%	1.1	18.0%	13.4%	4.7%	3.1%	5.28	5.33	-0.2
2028	29	MLB CTX	OAK	6	0	6	25	5	3	1	0%	1.0	18.0%	13.4%	4.7%	3.1%	5.28	5.33	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	6	26	5	3	1	0%	1.0	18.0%	13.4%	4.7%	3.1%	5.28	4.95	-0.0
/ 200 IP	—	RAW		190	0	200	844	165	99	33	0%	1.1	18.0%	13.4%	4.7%	3.1%	5.28	4.95	-0.9
Career	—	MLE		41	0	58	273	42	40	5	0%	1.4	15.5%	14.7%	0.8%	1.9%	4.97	4.68	-0.2
/ 200 IP	—	MLE		141	0	200	941	146	139	18	0%	1.4	15.5%	14.7%	0.8%	1.9%	4.97	4.68	-1.8

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
Jack Mahoney (OGILVIE)	—	—	5.30	17.7%	13.6%	2.9%	—	5.33	18.0%	4.7%	20	+0.03	—	—	—
Juan Pablo Perez L 2007 · 5.32 FIP	28	SU	5.32	17.5%	14.0%	3.5%	.324	—	—	—	—	—	1.75	104	89
Stephen Randolph L 2003 · 4.83 FIP	29	SU	4.83	18.5%	14.8%	2.6%	.247	5.69	15.8%	-3.0%	82	+0.86	4.83	155	83
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	83
Bryan Harper L 2018 · 4.63 FIP	28	SU	4.63	14.9%	13.9%	1.9%	.288	—	—	—	—	—	4.13	133	80
Keith Hessler L 2017 · 5.18 FIP	28	SU	5.18	15.5%	11.8%	3.5%	.324	4.96	19.8%	6.5%	53	-0.22	3.31	228	80
Justin Wright L 2016 · 4.42 FIP	26	SU	4.42	14.7%	13.7%	1.5%	.302	—	—	—	—	—	2.28	109	78
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	78
Doug Slaten L 2008 · 4.56 FIP	28	SU	4.56	13.6%	8.8%	2.7%	.264	3.63	19.2%	10.2%	57	-0.93	3.22	139	77
Colt Hynes L 2013 · 4.76 FIP	28	SU	4.76	15.5%	8.3%	3.5%	.361	3.49	19.3%	12.8%	96	-1.27	3.42	169	77
Braulio Lara L 2017 · 5.80 FIP	28	SU	5.80	19.8%	17.8%	3.9%	.361	—	—	—	—	—	3.96	118	76
Jeremy Horst L 2013 · 4.46 FIP	27	SU	4.46	17.1%	8.9%	3.0%	.356	3.92	17.2%	5.4%	108	-0.54	2.12	181	75
Kit Scheetz L 2021 · 5.08 FIP	27	SU	5.08	16.2%	13.6%	2.9%	.278	—	—	—	—	—	2.34	195	75
Tom Martin L 2000 · 4.16 FIP	30	SU	4.16	14.7%	9.1%	2.1%	.274	4.29	21.8%	12.3%	68	+0.12	3.40	303	75
Josh Osich L 2017 · 5.00 FIP	28	SU	5.00	21.4%	12.9%	3.8%	.328	4.47	21.1%	14.1%	143	-0.53	3.41	315	75
Ashur Tolliver L 2016 · 4.19 FIP	28	SU	4.19	21.3%	9.8%	3.0%	.308	5.03	13.8%	-5.1%	35	+0.84	3.49	134	74
Juan Grullon L 2016 · 4.64 FIP	26	SU	4.64	19.8%	10.9%	3.3%	.305	—	—	—	—	—	4.64	134	74
Jordan Norberto L 2015 · 4.30 FIP	28	SU	4.30	16.9%	14.1%	1.5%	.307	—	—	—	—	—	3.89	117	74
Mike Zagurski L 2012 · 4.48 FIP	29	SU	4.48	20.9%	11.7%	3.0%	.305	—	—	—	—	—	2.94	120	74
Andrew Mitchell L 2022 · 6.04 FIP	27	SU	6.04	18.2%	17.0%	4.2%	.317	—	—	—	—	—	2.51	119	74
Kirby Bellow L 2018 · 4.42 FIP	26	SU	4.42	13.6%	14.0%	1.3%	.255	—	—	—	—	—	2.84	108	73