Gabe Klobosits

P Iowa Cubs

Age 32 RHP 6'8" / 254 lbs AAA peak 0.1 · 2027

Overview

AAARPROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	28	AAATOR	14	1	19	4.74	5.78	14.6%	14.6%	—	K 12.6% · BB 13.2% · FIP 6.12
2026	31	AAACHC	27	2	33	3.51	3.16	26.9%	12.4%	—	K 23.1% · BB 11.2% · FIP 3.39
2027PROJ	32	MLBCHC	17	0	18	4.34	4.34	23.2%	10.7%	0.0
2028PROJ37% MLB	33	MLBCHC	7	0	7	4.50	4.62	22.4%	11.0%	-0.0

Next 2 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2021

xwOBA vs63

FB Velo52

Whiff%10

K%10

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

CompsJoe Nelson (age 31) · Arcenio Leon (age 32) · Jose Manuel Lopez (age 32)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 116108vR 99

ERA4.34

FIP4.34

K%23.2%

BB%10.7%

K-BB%12.5%

Proj IP18

Value2027 · WAR

Runs saved vs league avg · 18 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

K†5555

Statcast Percentiles

FB Velo

p5294.7

Whiff%

p1018.8%

p109.6%

xwOBA vs

p630.299

FB+0.6

SL-0.8

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)
2017	22	MIX MLE	2 levels	5	0	9	32	16	2	0	0%	1.8	50.0%	6.2%	43.8%	0.0%	1.00	-0.33	—
2017	22	MIX RAW	2 levels	5	0	9	32	16	2	0	0%	1.8	50.0%	6.2%	43.8%	0.0%	1.00	0.21	—
2018	23	A+ MLE	Potomac Nationals	11	0	16	76	18	11	0	0%	1.5	18.2%	16.6%	1.6%	0.0%	2.20	3.67	—
2018	23	A+ RAW	Potomac Nationals	11	0	16	76	18	11	0	0%	1.5	23.7%	14.5%	9.2%	0.0%	2.20	2.92	—
2019	24	MIX MLE	3 levels	18	0	27	104	19	11	1	0%	1.5	18.3%	10.6%	7.7%	1.0%	2.02	3.42	—
2019	24	MIX RAW	3 levels	18	0	27	104	19	11	1	0%	1.5	18.3%	10.6%	7.7%	1.0%	2.02	3.40	—
2021	26	MIX MLE	3 levels	42	0	50	211	51	15	1	0%	1.2	20.7%	7.5%	13.2%	0.5%	2.72	2.60	+1.2
2021	26	MIX RAW	3 levels	42	0	50	211	51	15	1	0%	1.2	24.2%	7.1%	17.1%	0.5%	2.72	2.21	+1.4
2022	27	AAA MLE	Las Vegas Aviators	11	0	11	51	12	6	3	0%	1.0	20.7%	12.4%	8.4%	6.0%	7.59	6.22	—
2022	27	AAA RAW	Las Vegas Aviators	11	0	11	51	12	6	3	0%	1.0	23.5%	11.8%	11.8%	5.9%	7.59	6.19	—
2023	28	AAA MLE	Buffalo Bisons	14	1	19	82	12	12	3	7%	1.4	12.6%	13.2%	-0.6%	4.4%	4.74	6.12	—
2023	28	AAA RAW	Buffalo Bisons	14	1	19	82	12	12	3	7%	1.4	14.6%	14.6%	0.0%	3.7%	4.74	5.78	—
2026	31	AAA MLE	Iowa Cubs	27	2	33	145	39	18	2	7%	1.2	23.1%	11.2%	12.0%	1.5%	3.51	3.39	—
2026	31	AAA MLE	Iowa Cubs	27	2	33	145	39	18	2	7%	1.2	23.1%	11.2%	12.0%	1.5%	3.51	3.39	—
2026	31	AAA RAW	Iowa Cubs	27	2	33	145	39	18	2	7%	1.2	26.9%	12.4%	14.5%	1.4%	3.51	3.16	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			11	0	11	52	5	4	0	0%	1.0	9.6%	7.7%	1.9%	0.0%	6.35	3.28	+0.2
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	32	MLB	CHC	17	0	18	76	18	8	2	0%	1.1	23.2%	10.7%	12.5%	2.7%	4.34	4.34	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	33	MLB MLE	CHC	19	0	20	84	19	9	3	0%	1.1	22.4%	11.0%	11.4%	3.0%	4.50	4.62	-0.0
2028	33	MLB CTX	CHC	7	0	7	30	7	3	1	0%	1.0	22.4%	11.0%	11.4%	3.0%	4.50	4.62	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		18	0	19	83	12	7	1	0%	1.0	14.4%	8.9%	5.5%	1.1%	5.62	3.63	+0.2
/ 200 IP	—	RAW		193	0	200	889	128	75	11	0%	1.0	14.4%	8.9%	5.5%	1.1%	5.62	3.63	+2.2
Career	—	MLE		128	3	165	701	147	75	11	2%	1.3	21.0%	10.7%	10.3%	1.6%	3.17	3.54	+0.2
/ 200 IP	—	MLE		155	4	200	851	178	91	13	2%	1.3	21.0%	10.7%	10.3%	1.6%	3.17	3.54	+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
Gabe Klobosits (OGILVIE)	—	—	4.34	23.2%	10.7%	2.7%	—	4.62	22.3%	11.4%	20	+0.28	—	—	—
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	88
Arcenio Leon R 2019 · 3.61 FIP	32	SU	3.61	21.4%	8.1%	2.4%	.314	—	—	—	—	—	3.00	115	85
Jose Manuel Lopez R 2017 · 3.61 FIP	32	SU	3.61	20.4%	10.0%	1.8%	.331	6.14	17.9%	3.7%	41	+2.53	3.50	170	83
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	83
Neil Wagner R 2016 · 4.05 FIP	32	SU	4.05	19.8%	12.3%	1.9%	.360	3.11	20.7%	12.1%	54	-0.94	3.11	135	80
Sergio Santos R 2015 · 4.17 FIP	32	SU	4.17	24.7%	8.2%	3.9%	.283	—	—	—	—	—	1.36	178	78
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	77
Jeff Fulchino R 2011 · 4.44 FIP	31	SU	4.44	20.4%	11.1%	3.0%	.302	—	—	—	—	—	3.36	178	77
Mark Serrano R 2017 · 3.56 FIP	31	SU	3.56	21.9%	6.4%	2.7%	.240	5.25	20.2%	12.3%	42	+1.69	3.16	120	75
James Hoyt R 2019 · 3.45 FIP	32	SU	3.45	22.2%	9.9%	1.8%	.355	5.63	22.1%	10.4%	50	+2.18	1.61	312	75
Jumbo Diaz R 2016 · 3.85 FIP	32	SU	3.85	22.3%	9.2%	2.7%	.247	3.28	23.0%	13.8%	141	-0.57	2.80	319	75
Grant Sides R 2019 · 3.31 FIP	30	SU	3.31	21.7%	9.8%	1.5%	.267	—	—	—	—	—	3.31	159	75
Dustin Molleken R 2017 · 3.38 FIP	32	SU	3.38	24.3%	12.4%	1.4%	.311	—	—	—	—	—	3.38	129	74
Hirokazu Sawamura R 2021 · 4.48 FIP	33	SU	4.48	26.2%	11.2%	4.0%	.263	4.02	18.1%	6.8%	51	-0.46	4.02	104	74
Dan Winkler R 2022 · 3.87 FIP	32	SU	3.87	24.4%	14.0%	1.9%	.281	—	—	—	—	—	2.40	231	74
Scott Atchison R 2007 · 4.55 FIP	31	SU	4.55	19.1%	7.6%	3.8%	.297	4.59	16.2%	9.5%	60	+0.04	2.52	340	74
Leonel Campos R 2017 · 3.70 FIP	30	SU	3.70	25.7%	11.8%	2.3%	.241	—	—	—	—	—	2.62	168	74
Dale Thayer R 2013 · 3.62 FIP	32	SU	3.62	23.7%	7.4%	2.9%	.287	3.85	20.6%	15.0%	103	+0.23	2.75	239	74
Miguel Mejia R 2019 · 4.41 FIP	31	SU	4.41	15.7%	10.7%	2.3%	.341	—	—	—	—	—	3.37	108	74
Erik Davis R 2018 · 3.52 FIP	31	SU	3.52	17.4%	8.9%	1.4%	.317	—	—	—	—	—	3.05	227	73