Jake Haberer

P Arkansas Travelers

Age 32 RHP 6'2" / 225 lbs AA

Overview

AAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	27	AASEA	45	0	43	5.40	4.14	30.0%	14.5%	—	K 24.3% · BB 16.0% · FIP 5.24
2023	28	AASEA	36	4	47	4.21	4.19	20.3%	13.4%	—	K 16.4% · BB 14.7% · FIP 5.10
2024	29	MIX2 levels	17	1	19	4.19	3.57	22.0%	13.2%	—	K 16.2% · BB 17.6% · FIP 5.03
2027PROJ	32	MLBSEA	8	0	8	4.64	4.64	22.1%	10.9%	-0.0
2028PROJ31% MLB	33	MLBSEA	6	0	6	4.76	4.86	21.7%	11.2%	-0.0

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

Contract

No contract data on file.

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

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 121113vR 105

ERA4.64

FIP4.64

K%22.1%

BB%10.9%

K-BB%11.1%

Proj IP8

Value2027 · WAR

Runs saved vs league avg · 8 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)
2018	23	MIX MLE	2 levels	8	0	9	45	13	6	0	0%	1.1	28.9%	13.3%	15.6%	0.0%	5.19	2.35	—
2018	23	MIX RAW	2 levels	8	0	9	45	13	6	0	0%	1.1	28.9%	13.3%	15.6%	0.0%	5.19	2.18	—
2019	24	MIX MLE	3 levels	38	0	49	218	68	32	3	0%	1.3	26.9%	17.3%	9.6%	0.8%	4.93	3.46	—
2019	24	MIX RAW	3 levels	38	0	49	218	68	32	3	0%	1.3	31.2%	14.7%	16.5%	1.4%	4.93	3.08	—
2021	26	AA MLE	Arkansas Travelers	26	0	32	157	26	25	5	0%	1.2	13.4%	17.5%	-4.1%	4.3%	6.12	6.54	—
2021	26	AA RAW	Arkansas Travelers	26	0	32	157	26	25	5	0%	1.2	16.6%	15.9%	0.6%	3.2%	6.12	5.82	—
2022	27	AA MLE	Arkansas Travelers	45	0	43	200	60	29	6	0%	1.0	24.3%	16.0%	8.3%	4.0%	5.40	5.24	—
2022	27	AA RAW	Arkansas Travelers	45	0	43	200	60	29	6	0%	1.0	30.0%	14.5%	15.5%	3.0%	5.40	4.14	—
2023	28	AA MLE	Arkansas Travelers	36	4	47	202	41	27	4	11%	1.3	16.4%	14.7%	1.7%	2.8%	4.21	5.10	—
2023	28	AA RAW	Arkansas Travelers	36	4	47	202	41	27	4	11%	1.3	20.3%	13.4%	6.9%	2.0%	4.21	4.19	—
2024	29	MIX MLE	2 levels	17	1	19	91	20	12	1	6%	1.1	16.2%	17.6%	-1.4%	2.0%	4.19	5.03	—
2024	29	MIX MLE	2 levels	17	1	19	91	20	12	1	6%	1.1	16.2%	17.6%	-1.4%	2.0%	4.19	5.03	—
2024	29	MIX RAW	2 levels	17	1	19	91	20	12	1	6%	1.1	22.0%	13.2%	8.8%	1.1%	4.19	3.57	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	32	MLB	SEA	8	0	8	34	7	4	1	0%	1.0	22.1%	10.9%	11.1%	3.0%	4.64	4.64	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	33	MLB MLE	SEA	19	0	20	84	18	9	3	0%	1.1	21.7%	11.2%	10.5%	3.3%	4.76	4.86	-0.1
2028	33	MLB CTX	SEA	6	0	6	25	5	3	1	0%	1.0	21.7%	11.2%	10.5%	3.3%	4.76	4.86	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	6	26	6	3	1	0%	1.0	21.7%	11.2%	10.5%	3.3%	4.76	4.48	+0.0
/ 200 IP	—	RAW		190	0	200	844	192	96	32	0%	1.1	21.7%	11.2%	10.5%	3.3%	4.76	4.48	+0.2
Career	—	MLE		170	5	200	913	189	149	24	3%	1.2	20.7%	16.3%	4.4%	2.6%	4.99	4.84	-0.1
/ 200 IP	—	MLE		170	5	200	913	189	149	24	3%	1.2	20.7%	16.3%	4.4%	2.6%	4.99	4.84	-0.7

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 Haberer (OGILVIE)	—	—	4.64	22.1%	10.9%	3.0%	—	4.86	21.7%	10.5%	20	+0.22	—	—	—
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	86
Arcenio Leon R 2019 · 3.61 FIP	32	SU	3.61	21.4%	8.1%	2.4%	.314	—	—	—	—	—	3.00	115	84
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	82
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	81
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
Jeff Fulchino R 2011 · 4.44 FIP	31	SU	4.44	20.4%	11.1%	3.0%	.302	—	—	—	—	—	3.36	178	78
Miguel Mejia R 2019 · 4.41 FIP	31	SU	4.41	15.7%	10.7%	2.3%	.341	—	—	—	—	—	3.37	108	77
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	77
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	76
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	75
Dan Winkler R 2022 · 3.87 FIP	32	SU	3.87	24.4%	14.0%	1.9%	.281	—	—	—	—	—	2.40	231	75
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
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	74
Jim Henderson R 2015 · 5.27 FIP	32	SU	5.27	16.7%	11.9%	3.8%	.307	4.55	25.8%	16.8%	35	-0.72	1.86	167	74
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	73
Jason Bulger R 2010 · 4.36 FIP	31	SU	4.36	22.5%	13.5%	2.6%	.324	—	—	—	—	—	3.78	106	73
Rafael Martín R 2016 · 4.74 FIP	32	SU	4.74	20.5%	10.7%	3.7%	.265	3.96	21.3%	15.8%	110	-0.78	2.94	227	72
Brian Sanches R 2011 · 4.35 FIP	32	SU	4.35	19.6%	11.1%	2.7%	.250	—	—	—	—	—	3.39	229	72
Ryan Kelly R 2019 · 4.33 FIP	31	SU	4.33	14.7%	7.2%	2.8%	.307	—	—	—	—	—	2.49	131	72