Michael Petersen

Michael Petersen P Miami Marlins

Age 32 RHP 6'7" / 195 lbs MLB peak 0.2 · 2026

2026 ROS PROJECTION59 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 9991vR 83

ERA4.04

FIP3.79

K%26.2%

BB%9.6%

K-BB%16.5%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 64 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF4040

CTRL4040

CMD3535

K†5560

Statcast Percentiles

FB Velo

p9097.9

Whiff%

p7429.1%

p8528.7%

xwOBA vs

p770.286

FB+2.2 (61%)

CH+0.6 (12%)

SL (27%)

CT (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 + 2026 so far)
2015	21	ROK MLE	AZL Brewers	4	3	7	25	5	2	0	75%	1.7	20.0%	8.0%	12.0%	0.0%	1.35	2.42	—
2015	21	ROK RAW	AZL Brewers	4	3	7	25	5	2	0	75%	1.7	20.0%	8.0%	12.0%	0.0%	1.35	2.50	—
2016	22	ROK MLE	Helena Brewers	10	5	23	125	19	13	4	50%	2.3	10.3%	13.0%	-2.7%	4.5%	7.71	6.33	—
2016	22	ROK RAW	Helena Brewers	10	5	23	125	19	13	4	50%	2.3	15.2%	10.4%	4.8%	3.2%	7.71	5.37	—
2017	23	ROK MLE	Helena Brewers	15	9	46	221	48	31	5	60%	3.1	14.8%	17.5%	-2.8%	3.2%	6.41	5.81	—
2017	23	ROK RAW	Helena Brewers	15	9	46	221	48	31	5	60%	3.1	21.7%	14.0%	7.7%	2.3%	6.41	4.44	—
2018	24	A MLE	Wisconsin Timber Rattlers	32	0	68	282	62	23	5	0%	2.1	16.3%	9.6%	6.6%	2.3%	3.46	4.19	—
2018	24	A RAW	Wisconsin Timber Rattlers	32	0	68	282	62	23	5	0%	2.1	22.0%	8.2%	13.8%	1.8%	3.46	3.25	—
2019	25	A+ MLE	Carolina Mudcats	41	0	54	230	65	34	4	0%	1.3	21.8%	17.0%	4.8%	2.0%	3.00	4.52	—
2019	25	A+ RAW	Carolina Mudcats	41	0	54	230	65	34	4	0%	1.3	28.3%	14.8%	13.5%	1.7%	3.00	3.54	—
2022	28	ROK MLE	ACL Rockies	1	1	1	3	2	0	0	100%	1.0	66.7%	0.0%	66.7%	0.0%	0.00	-2.53	—
2022	28	ROK RAW	ACL Rockies	1	1	1	3	2	0	0	100%	1.0	66.7%	0.0%	66.7%	0.0%	0.00	-0.90	—
2023	29	MIX MLE	2 levels	41	0	42	186	49	24	3	0%	1.0	21.6%	12.4%	9.2%	1.7%	3.46	3.80	—
2023	29	MIX MLE	2 levels	41	0	42	186	49	24	3	0%	1.0	21.6%	12.4%	9.2%	1.7%	3.46	3.80	—
2023	29	MIX RAW	2 levels	41	0	42	186	49	24	3	0%	1.0	26.3%	12.9%	13.4%	1.6%	3.46	3.41	—
2024	30	MIX MLE	2 levels	51	0	53	215	58	18	4	0%	1.0	23.5%	8.0%	15.5%	2.0%	3.25	3.25	+0.8
2024	30	MIX MLE	2 levels	51	0	53	215	58	18	4	0%	1.0	23.5%	8.0%	15.5%	2.0%	3.25	3.25	+0.8
2024	30	MIX RAW	2 levels	51	0	53	215	58	18	4	0%	1.0	27.0%	8.4%	18.6%	1.9%	3.25	2.91	+1.0
2025	31	MIX MLE	2 levels	48	1	54	240	64	17	8	2%	1.1	23.3%	6.6%	16.8%	3.9%	4.31	4.08	+0.3
2025	31	MIX MLE	2 levels	48	1	54	240	64	17	8	2%	1.1	23.3%	6.6%	16.8%	3.9%	4.31	4.08	+0.3
2025	31	MIX RAW	2 levels	48	1	54	240	64	17	8	2%	1.1	26.7%	7.1%	19.6%	3.3%	4.31	3.60	+0.6
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			90	0	97	409	100	40	11	0%	1.1	24.4%	9.8%	14.7%	2.7%	3.90	3.75	+0.9
▸ 2026 season
YTD	32	MLB MLE	Miami Marlins	59	0	59	240	69	25	5	0%	1.0	28.7%	10.4%	18.3%	2.2%	3.19	3.20	+1.0
YTD	32	MLB MLE	Miami Marlins	59	0	59	240	69	25	5	0%	1.0	28.7%	10.4%	18.3%	2.2%	3.19	3.20	+1.0
▸ 2026 season — so far · projected rest · full
2026	32	MLB RAW	MIA	59	0	59	240	69	25	5	0%	1.0	28.7%	10.4%	18.3%	2.1%	3.19	3.14	+1.0
SO FAR	32	MLB RAW	MIA	59	0	59	240	69	25	5	0%	1.0	28.7%	10.4%	18.3%	2.1%	3.19	3.14	+1.0
ROS	32	MLB MLE	MIA	5	0	5	21	5	2	1	0%	1.0	26.2%	9.6%	16.5%	3.1%	4.04	3.79	+0.0
ROS	32	MLB CTX	MIA	5	0	5	21	6	2	1	0%	1.0	26.2%	9.6%	16.5%	3.1%	4.04	3.79	+0.0
2026 TOT	32	MLB MLE	MIA	—	—	64	261	74	27	6	—	—	28.5%	10.4%	18.2%	2.2%	3.25	3.24	+1.1
FULL	32	MLB A+C	MIA	—	—	64	271	74	27	6	—	—	27.4%	10.0%	17.5%	2.1%	3.25	3.18	+1.1
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	33	MLB MLE	MIA	51	0	53	225	55	23	7	0%	1.0	24.5%	10.0%	14.4%	3.1%	4.38	4.39	+0.1
2028	34	MLB MLE	MIA	46	0	48	204	48	21	7	0%	1.1	23.5%	10.5%	13.0%	3.4%	4.56	4.69	-0.1
2029	35	MLB MLE	MIA	41	0	43	183	41	20	7	0%	1.1	22.5%	10.9%	11.6%	3.7%	4.82	5.01	-0.2
2027	33	MLB CTX	MIA	49	0	51	215	53	22	7	0%	1.0	24.5%	10.0%	14.4%	3.1%	4.38	4.39	+0.1
2028	34	MLB CTX	MIA	42	0	44	186	44	19	6	0%	1.0	23.5%	10.5%	13.0%	3.4%	4.56	4.69	-0.1
2029	35	MLB CTX	MIA	35	0	37	156	35	17	6	0%	1.1	22.5%	10.9%	11.6%	3.7%	4.82	5.01	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		220	0	234	986	236	100	30	0%	1.1	24.0%	10.1%	13.9%	3.1%	4.28	4.05	+1.4
/ 200 IP	—	RAW		188	0	200	844	202	86	26	0%	1.1	24.0%	10.1%	13.9%	3.1%	4.28	4.05	+1.2
Career	—	MLE		302	19	407	1767	364	204	46	6%	1.3	20.6%	11.6%	9.0%	2.6%	3.98	4.24	+0.7
/ 200 IP	—	MLE		148	9	200	868	179	100	22	6%	1.3	20.6%	11.6%	9.0%	2.6%	3.98	4.24	+0.6

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 Petersen (OGILVIE)	—	—	4.43	22.9%	9.0%	3.2%	—	4.68	23.5%	13.1%	145	+0.25	—	—	—
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	80
Ryan Cook R 2018 · 3.96 FIP	31	SU	3.96	25.1%	10.8%	2.9%	.280	—	—	—	—	—	3.96	102	79
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	79
Fernando Nieve R 2015 · 4.27 FIP	33	SU	4.27	22.0%	10.5%	3.1%	.290	2.43	26.9%	22.6%	89	-1.84	1.96	112	79
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	284	78
Santiago Casilla R 2015 · 3.50 FIP	35	SU	3.50	25.4%	8.6%	2.7%	.290	3.97	22.4%	12.7%	161	+0.47	3.50	219	77
Ross Ohlendorf R 2015 · 3.30 FIP	32	SU	3.30	23.7%	7.2%	2.3%	.342	4.93	23.4%	12.7%	66	+1.63	3.30	122	77
Blake Wood R 2017 · 3.44 FIP	31	SU	3.44	25.3%	9.3%	2.4%	.364	—	—	—	—	—	2.92	210	77
Jonathan Broxton R 2016 · 3.77 FIP	32	SU	3.77	22.0%	7.3%	2.9%	.256	4.34	20.5%	9.0%	16	+0.57	3.67	137	77
Arcenio Leon R 2019 · 3.61 FIP	32	SU	3.61	21.4%	8.1%	2.4%	.314	—	—	—	—	—	3.00	115	76
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	73
Chris Hatcher R 2017 · 4.31 FIP	32	SU	4.31	24.5%	7.4%	4.3%	.291	5.32	18.0%	8.4%	36	+1.01	2.92	176	73
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	72
Carlos Fisher R 2015 · 3.45 FIP	32	SU	3.45	22.6%	11.6%	1.4%	.236	3.17	22.5%	11.1%	91	-0.28	2.48	147	72
Nate Jones R 2018 · 4.09 FIP	32	SU	4.09	23.4%	10.9%	2.9%	.279	5.85	21.4%	13.8%	38	+1.76	2.57	157	72
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	72
Joakim Soria R 2016 · 4.33 FIP	32	SU	4.33	23.2%	9.2%	3.7%	.319	2.63	28.5%	21.7%	186	-1.70	2.01	380	71
Josh Fields R 2018 · 3.48 FIP	32	SU	3.48	21.4%	6.5%	2.5%	.224	7.56	18.9%	9.5%	25	+4.08	1.90	238	71
David Phelps R 2019 · 4.35 FIP	32	SU	4.35	24.5%	10.9%	3.5%	.289	3.46	26.7%	16.6%	84	-0.89	2.50	373	70
Brad Boxberger R 2020 · 4.65 FIP	32	SU	4.65	22.8%	10.1%	4.0%	.280	3.49	27.2%	17.5%	149	-1.16	3.01	363	70

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.0	51	23.4%	10.0%	1.29	4.60
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Noé Ramirez ('22)	1.3	52	24.8%	9.0%	1.33	4.19
Robert Stephenson ('23)	1.7	57	26.2%	9.9%	1.39	4.33
Jacob Barnes ('24)	1.5	42	22.1%	9.6%	1.21	4.58
Mike Mayers ('23)	1.2	47	24.3%	7.8%	1.50	4.47
Austin Voth ('24)	1.7	58	22.2%	8.2%	1.50	4.63