Michael Hobbs

P Inland Empire 66ers

Age 28 RHP 6'3" / 215 lbs A

Overview

APROSPECT

ETA2029MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	25	AALAD	42	58	2.97	3.53	21.8%	12.6%	—	K 17.7% · BB 13.9% · FIP 4.14
2025	26	AASEA	45	51	2.47	3.61	26.2%	17.5%	—	K 21.2% · BB 19.2% · FIP 4.46
2026	27	MIX4 levels	12	18	2.45	2.72	21.8%	11.5%	—	K 21.8% · BB 11.5% · FIP 2.72
2027PROJ	28	MLBSEA	66	69	5.57	5.57	20.8%	18.5%	-0.8
2028PROJ30% MLB	29	MLBSEA	19	20	5.52	5.57	20.8%	17.8%	-0.2
2029PROJ50% MLB	30	MLBSEA	30	31	5.56	5.66	20.6%	17.4%	-0.4

Next 3 projected WAR -1.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff50Control20Command40

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

CompsGregory Infante (age 28) · Spencer Bivens (age 28) · Conor Grammes (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 139131vR 123

ERA5.57

FIP5.57

K%20.8%

BB%18.5%

K-BB%2.3%

Proj IP69

Value2027 · WAR

Runs saved vs league avg · 69 IP

Grades · Contract

Scouting Grades

STUF5050

CTRL2020

CMD4040

K†5050

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)
2021	22	MIX MLE	2 levels	8	0	8	39	13	7	2	0%	1.0	33.3%	17.9%	15.4%	5.1%	5.40	5.37	—
2021	22	MIX RAW	2 levels	8	0	8	39	13	7	2	0%	1.0	33.3%	17.9%	15.4%	5.1%	5.40	5.62	—
2022	23	A+ MLE	Great Lakes Loons	19	0	26	107	24	12	2	0%	1.4	17.3%	12.9%	4.4%	2.3%	3.08	4.54	—
2022	23	A+ RAW	Great Lakes Loons	19	0	26	107	24	12	2	0%	1.4	22.4%	11.2%	11.2%	1.9%	3.08	3.63	—
2023	24	A+ MLE	Great Lakes Loons	44	0	49	219	62	30	5	0%	1.1	21.8%	15.8%	6.0%	3.0%	3.12	4.90	—
2023	24	A+ RAW	Great Lakes Loons	44	0	49	219	62	30	5	0%	1.1	28.3%	13.7%	14.6%	2.3%	3.12	3.73	—
2024	25	AA MLE	Tulsa Drillers	42	0	58	238	52	30	3	0%	1.4	17.7%	13.9%	3.8%	1.4%	2.97	4.14	—
2024	25	AA MLE	Tulsa Drillers	42	0	58	238	52	30	3	0%	1.4	17.7%	13.9%	3.8%	1.4%	2.97	4.14	—
2024	25	AA RAW	Tulsa Drillers	42	0	58	238	52	30	3	0%	1.4	21.8%	12.6%	9.2%	1.3%	2.97	3.53	—
2025	26	AA MLE	Arkansas Travelers	45	0	51	229	60	40	2	0%	1.1	21.2%	19.2%	2.0%	1.3%	2.47	4.46	—
2025	26	AA MLE	Arkansas Travelers	45	0	51	229	60	40	2	0%	1.1	21.2%	19.2%	2.0%	1.3%	2.47	4.46	—
2025	26	AA RAW	Arkansas Travelers	45	0	51	229	60	40	2	0%	1.1	26.2%	17.5%	8.7%	0.9%	2.47	3.61	—
2026	27	MIX MLE	4 levels	12	0	18	78	17	9	0	0%	1.5	21.8%	11.5%	10.3%	0.0%	2.45	2.72	—
2026	27	MIX MLE	4 levels	12	0	18	78	17	9	0	0%	1.5	21.8%	11.5%	10.3%	0.0%	2.45	2.72	—
2026	27	MIX RAW	4 levels	12	0	18	78	17	9	0	0%	1.5	21.8%	11.5%	10.3%	0.0%	2.45	2.72	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	SEA	66	0	69	291	60	54	8	0%	1.0	20.8%	18.5%	2.3%	2.7%	5.57	5.57	-0.8
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	SEA	63	0	66	280	58	50	8	0%	1.1	20.8%	17.8%	3.0%	2.9%	5.52	5.57	-0.7
2029	30	MLB MLE	SEA	59	0	62	263	54	46	8	0%	1.1	20.6%	17.4%	3.2%	3.1%	5.56	5.66	-0.8
2028	29	MLB CTX	SEA	19	0	20	84	18	15	2	0%	1.1	20.8%	17.8%	3.0%	2.9%	5.52	5.57	-0.2
2029	30	MLB CTX	SEA	30	0	31	131	27	23	4	0%	1.0	20.6%	17.4%	3.2%	3.1%	5.56	5.66	-0.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		49	0	51	216	45	38	7	0%	1.0	20.7%	17.6%	3.1%	3.0%	5.54	5.24	-0.4
/ 200 IP	—	RAW		190	0	200	844	176	149	27	0%	1.1	20.7%	17.6%	3.1%	3.0%	5.54	5.24	-1.6
Career	—	MLE		170	0	211	910	187	141	17	0%	1.2	20.5%	15.5%	5.0%	1.9%	2.95	4.38	-1.6
/ 200 IP	—	MLE		161	0	200	864	177	134	17	0%	1.2	20.5%	15.5%	5.0%	1.9%	2.95	4.38	-2.5

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
Michael Hobbs (OGILVIE)	—	—	5.57	20.8%	18.5%	2.7%	—	5.61	20.7%	3.1%	128	+0.04	—	—	—
Gregory Infante R 2015 · 4.54 FIP	28	SU	4.54	16.9%	15.7%	1.6%	.290	3.78	21.3%	12.7%	181	-0.76	2.97	230	83
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.85	18.1%	10.3%	272	-1.01	3.52	391	80
Conor Grammes R 2024 · 4.55 FIP	27	SU	4.55	18.3%	17.9%	1.3%	.303	5.60	15.3%	-11.6%	22	+1.05	4.11	171	77
Wil Browning R 2017 · 4.44 FIP	28	SU	4.44	17.9%	13.1%	2.2%	.359	—	—	—	—	—	2.14	162	77
Charles Hall R 2023 · 5.10 FIP	28	SU	5.10	18.0%	19.1%	2.0%	.278	—	—	—	—	—	2.43	181	75
Trey Haley R 2016 · 4.98 FIP	26	SU	4.98	14.0%	16.5%	1.8%	.282	—	—	—	—	—	3.14	111	75
Stevie Branche R 2024 · 5.67 FIP	27	SU	5.67	19.3%	17.6%	3.6%	.320	—	—	—	—	—	3.23	162	75
Kevin Gryboski R 2002 · 5.02 FIP	28	SU	5.02	13.9%	13.4%	2.5%	.263	3.83	12.0%	2.9%	126	-1.19	3.67	178	75
Vic Black R 2015 · 5.28 FIP	27	SU	5.28	17.5%	19.3%	2.2%	.358	6.03	9.0%	-11.6%	29	+0.75	3.16	107	75
Jake Haberer R 2023 · 5.10 FIP	28	SU	5.10	16.4%	14.7%	2.8%	.262	5.03	16.2%	-1.4%	15	-0.07	3.46	183	75
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	75
Jose Veras R 2009 · 5.13 FIP	28	SU	5.13	17.8%	12.4%	3.6%	.228	3.57	26.3%	14.0%	186	-1.56	3.37	422	74
Tyler Davis R 2024 · 6.02 FIP	25	SU	6.02	21.0%	18.8%	4.2%	.317	3.78	21.9%	10.2%	111	-2.24	3.20	137	74
Ronald Peña R 2019 · 4.55 FIP	27	SU	4.55	20.5%	12.6%	2.9%	.355	4.49	16.5%	6.1%	39	-0.06	3.72	187	74
Chris Jefferson R 2024 · 5.65 FIP	27	SU	5.65	16.4%	13.6%	4.0%	.308	—	—	—	—	—	3.53	140	74
Jordan Gore R 2022 · 5.37 FIP	27	SU	5.37	15.2%	18.5%	2.2%	.321	—	—	—	—	—	3.20	113	74
Cole McDonald R 2024 · 5.01 FIP	27	SU	5.01	20.9%	12.7%	3.8%	.281	—	—	—	—	—	2.81	153	74
Kyle Dowdy R 2021 · 5.16 FIP	28	SU	5.16	20.3%	14.6%	3.5%	.282	3.54	21.6%	9.6%	116	-1.62	2.98	606	73
Jeff Ames R 2019 · 4.45 FIP	28	SU	4.45	25.6%	16.8%	2.5%	.351	—	—	—	—	—	3.85	272	73
Roman Phansalkar R 2024 · 5.39 FIP	26	SU	5.39	15.8%	13.2%	3.6%	.294	4.33	18.2%	3.7%	31	-1.06	4.33	164	73

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	1.0	66	20.7%	17.9%	1.12	5.55
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Brian Bruney ('12)	1.3	43	21.2%	15.8%	0.94	4.68
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Dave Jolly ('53-'57, -0 WAR*)	1.5	58	20.2%*	14.3%*	0.91*	4.33*
Ken Wright ('70-'74, -0 WAR*)	1.2	79	23.8%*	16.1%*	0.70*	5.24*