Michael Rucker

P Seattle Mariners

Age 33 RHP 6'1" / 195 lbs MLB peak 0.3 · 2027

Overview

MLBRP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	29	MIX2 levels	48	2	62	3.79	4.04	23.3%	9.5%	0.4	K 22.3% · BB 9.3% · FIP 4.24
2024	30	MIX3 levels	26	0	31	6.16	3.33	26.9%	7.6%	—	K 22.0% · BB 6.8% · FIP 3.94
2026	32	MIX2 levels	59	0	66	4.21	3.48	26.0%	9.7%	0.8	K 24.8% · BB 9.3% · FIP 3.57
2027PROJ	33	MLBSEA	65	0	68	4.08	4.14	25.4%	9.3%	0.3
2028PROJ95% MLB	34	MLBSEA	56	0	59	4.30	4.45	24.5%	9.8%	0.1
2029PROJ91% MLB	35	MLBSEA	49	0	51	4.59	4.78	23.6%	10.3%	-0.1

Last 3 seasons WAR 1.2 · Next 3 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

K%75

FB Velo74

xwOBA vs57

Whiff%54

CompsTony Barnette (age 33) · Joe Nelson (age 33) · Jim Henderson (age 33)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 108100vR 92

ERA4.08

FIP4.14

K%25.4%

BB%9.3%

K-BB%16.1%

Proj IP68

Value2027 · WAR

Runs saved vs league avg · 68 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF5555

CTRL4545

CMD5050

K†6060

Statcast Percentiles

FB Velo

p7496.2

Whiff%

p5425.9%

p7526.9%

xwOBA vs

p570.305

CT+2.9

SL+1.4

CH-0.6

FB-4.4

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)
2016	22	ROK MLE	AZL Cubs	5	0	9	30	11	1	0	0%	1.7	36.7%	3.3%	33.3%	0.0%	0.00	0.43	—
2016	22	ROK RAW	AZL Cubs	5	0	9	30	11	1	0	0%	1.7	36.7%	3.3%	33.3%	0.0%	0.00	0.91	—
2017	23	MIX MLE	2 levels	27	15	106	421	114	19	6	56%	3.9	18.9%	5.8%	13.1%	1.8%	2.38	3.22	—
2017	23	MIX RAW	2 levels	27	15	106	421	114	19	6	56%	3.9	27.1%	4.5%	22.6%	1.4%	2.38	2.22	—
2018	24	AA MLE	Tennessee Smokies	26	26	133	558	118	37	17	100%	5.1	17.1%	7.3%	9.8%	3.9%	3.73	4.70	—
2018	24	AA RAW	Tennessee Smokies	26	26	133	558	118	37	17	100%	5.1	21.1%	6.6%	14.5%	3.0%	3.73	3.82	—
2019	25	MIX MLE	2 levels	36	1	80	339	93	25	10	3%	2.2	22.5%	7.6%	15.0%	3.3%	4.18	3.96	—
2019	25	MIX RAW	2 levels	36	1	80	339	93	25	10	3%	2.2	27.4%	7.4%	20.1%	2.9%	4.18	3.34	—
2021	27	MIX MLE	2 levels	39	0	68	293	79	19	13	0%	1.7	25.0%	6.6%	18.3%	4.6%	5.72	4.33	+0.2
2021	27	MIX RAW	2 levels	39	0	68	293	79	19	13	0%	1.7	27.0%	6.5%	20.5%	4.4%	5.72	4.10	+0.4
2022	28	MIX MLE	2 levels	51	0	70	297	63	27	8	0%	1.4	20.7%	9.2%	11.5%	2.8%	3.34	4.06	+0.4
2022	28	MIX RAW	2 levels	51	0	70	297	63	27	8	0%	1.4	21.2%	9.1%	12.1%	2.7%	3.34	3.94	+0.5
2023	29	MIX MLE	2 levels	48	2	62	253	59	24	8	4%	1.3	22.3%	9.3%	13.0%	3.4%	3.79	4.24	+0.2
2023	29	MIX RAW	2 levels	48	2	62	253	59	24	8	4%	1.3	23.3%	9.5%	13.8%	3.2%	3.79	4.04	+0.4
2024	30	MIX MLE	3 levels	26	0	31	145	39	11	4	0%	1.2	22.0%	6.8%	15.2%	3.4%	6.16	3.94	—
2024	30	MIX MLE	3 levels	26	0	31	145	39	11	4	0%	1.2	22.0%	6.8%	15.2%	3.4%	6.16	3.94	—
2024	30	MIX RAW	3 levels	26	0	31	145	39	11	4	0%	1.2	26.9%	7.6%	19.3%	2.8%	6.16	3.33	—
2026	32	MIX MLE	2 levels	59	0	66	288	75	28	7	0%	1.1	24.8%	9.3%	15.5%	2.5%	4.21	3.57	+0.8
2026	32	MIX MLE	2 levels	59	0	66	288	75	28	7	0%	1.1	24.8%	9.3%	15.5%	2.5%	4.21	3.57	+0.8
2026	32	MIX RAW	2 levels	59	0	66	288	75	28	7	0%	1.1	26.0%	9.7%	16.3%	2.4%	4.21	3.48	+0.8
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			133	0	167	717	170	67	25	0%	1.3	23.7%	9.3%	14.4%	3.5%	5.12	4.21	+0.7
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	33	MLB	SEA	65	0	68	287	73	27	9	0%	1.0	25.4%	9.3%	16.1%	3.0%	4.08	4.14	+0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	34	MLB MLE	SEA	59	0	62	262	64	26	9	0%	1.1	24.5%	9.8%	14.7%	3.3%	4.30	4.45	+0.1
2029	35	MLB MLE	SEA	53	0	56	235	55	24	8	0%	1.0	23.6%	10.3%	13.2%	3.6%	4.59	4.78	-0.1
2028	34	MLB CTX	SEA	56	0	59	249	61	24	8	0%	1.1	24.5%	9.8%	14.7%	3.3%	4.30	4.45	+0.1
2029	35	MLB CTX	SEA	49	0	51	215	51	22	8	0%	1.0	23.6%	10.3%	13.2%	3.6%	4.59	4.78	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		237	0	276	1179	281	113	41	0%	1.2	23.9%	9.6%	14.2%	3.5%	4.85	4.21	+1.1
/ 200 IP	—	RAW		172	0	200	853	203	82	30	0%	1.2	23.9%	9.6%	14.2%	3.5%	4.85	4.21	+0.8
Career	—	MLE		317	44	623	2624	557	199	82	14%	2.0	21.2%	7.6%	13.6%	3.1%	3.86	3.99	+0.6
/ 200 IP	—	MLE		102	14	200	842	179	64	26	14%	2.0	21.2%	7.6%	13.6%	3.1%	3.86	3.99	+0.4

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 Rucker (OGILVIE)	—	—	4.14	25.4%	9.3%	3.0%	—	4.61	24.1%	14.0%	118	+0.47	—	—	—
Tony Barnette R 2017 · 3.56 FIP	33	SU	3.56	22.6%	7.1%	2.7%	.335	2.61	25.0%	20.2%	26	-0.95	2.61	144	79
Joe Nelson R 2008 · 3.08 FIP	33	SU	3.08	26.1%	7.8%	2.2%	.252	5.35	19.8%	5.5%	40	+2.27	3.08	139	78
Jim Henderson R 2016 · 4.55 FIP	33	SU	4.55	25.8%	9.0%	4.5%	.287	—	—	—	—	—	1.86	167	77
Arcenio Leon R 2019 · 3.61 FIP	32	SU	3.61	21.4%	8.1%	2.4%	.314	—	—	—	—	—	3.00	115	76
Neil Wagner R 2017 · 3.11 FIP	33	SU	3.11	20.7%	8.6%	1.2%	.257	—	—	—	—	—	3.11	135	74
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	74
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	73
Zack Segovia R 2016 · 3.33 FIP	33	SU	3.33	20.2%	5.9%	2.2%	.312	4.55	17.6%	4.0%	57	+1.22	3.33	144	73
Spencer Patton R 2021 · 3.04 FIP	33	SU	3.04	27.9%	8.7%	2.2%	.305	4.97	21.2%	10.4%	88	+1.93	2.79	239	73
Huascar Brazobán R 2023 · 3.52 FIP	33	SU	3.52	25.3%	11.3%	2.1%	.304	3.54	21.9%	11.8%	195	+0.02	3.08	370	72
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	72
Tim Dillard R 2016 · 3.13 FIP	33	SU	3.13	22.6%	8.2%	1.7%	.358	4.14	13.7%	6.9%	250	+1.01	2.92	432	72
Akinori Otsuka R 2005 · 3.05 FIP	33	SU	3.05	21.7%	9.4%	1.1%	.278	2.59	19.4%	14.2%	92	-0.46	2.39	232	72
Mark Serrano R 2019 · 5.25 FIP	33	SU	5.25	20.2%	7.9%	5.2%	.289	—	—	—	—	—	3.16	120	71
Adrian Ramirez R 2019 · 4.29 FIP	31	SU	4.29	21.7%	6.3%	4.0%	.327	—	—	—	—	—	3.04	137	71
Keiichi Yabu R 2005 · 4.05 FIP	36	SU	4.05	16.8%	8.8%	2.3%	.307	3.48	15.9%	6.6%	68	-0.57	3.48	126	69
Dustin Molleken R 2017 · 3.38 FIP	32	SU	3.38	24.3%	12.4%	1.4%	.311	—	—	—	—	—	3.38	129	68
Fernando Rodriguez Jr. R 2016 · 3.61 FIP	32	SU	3.61	22.7%	10.4%	2.0%	.255	4.41	24.1%	13.8%	97	+0.80	3.34	335	68
Jumbo Diaz R 2017 · 4.17 FIP	33	SU	4.17	20.0%	9.7%	2.8%	.302	2.90	24.2%	15.4%	98	-1.27	2.80	319	68
Tommy Nance R 2024 · 3.51 FIP	33	SU	3.51	20.2%	5.8%	2.5%	.327	2.84	26.3%	19.5%	123	-0.67	2.08	360	67

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	1.8	50	24.2%	9.6%	1.30	4.69
Chris Hatcher ('18)	1.3	53	22.9%	8.4%	1.32	4.65
José Ruiz ('25)	1.4	57	22.3%	10.4%	1.44	4.62
Michael Tonkin ('25)	1.6	55	23.2%	8.1%	1.28	4.23
Tom Dukes ('67-'72, -2 WAR*)	1.1	43	22.7%*	8.7%*	1.16*	5.37*
Bill Scherrer ('82-'88, 1 WAR*)	1.6	62	20.7%*	10.2%*	1.19*	4.44*
Barney Schultz ('55-'65, 2 WAR*)	1.7	58	24.6%*	8.3%*	1.28*	3.93*