Michael Bienlien

P West Michigan Whitecaps

Age 29 RHP 6'3" / 246 lbs A+ peak 0.1 · 2027

Overview

A+PROSPECT

MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	24	MIX2 levels	35	0	54	4.19	4.16	23.8%	11.3%	—	K 17.9% · BB 13.2% · FIP 5.24
2023	25	MIX2 levels	35	1	56	6.27	3.56	24.7%	11.4%	—	K 19.6% · BB 12.7% · FIP 4.28
2024	26	MIX3 levels	35	1	59	4.30	2.83	26.0%	8.1%	—	K 20.2% · BB 7.9% · FIP 3.06
2027PROJ	29	MLBDET	34	0	36	4.29	4.29	22.5%	8.7%	0.1
2028PROJ30% MLB	30	MLBDET	10	0	10	4.40	4.47	22.2%	9.0%	0.0

Next 2 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsNeil Wagner (age 29) · Diego Moreno (age 29) · Joe Nelson (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 115107vR 98

ERA4.29

FIP4.29

K%22.5%

BB%8.7%

K-BB%13.8%

Proj IP36

Value2027 · WAR

Runs saved vs league avg · 36 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)
2019	21	MIX MLE	3 levels	16	0	31	144	31	14	0	0%	1.9	15.7%	11.3%	4.4%	0.0%	3.82	3.20	—
2019	21	MIX RAW	3 levels	16	0	31	144	31	14	0	0%	1.9	21.5%	9.7%	11.8%	0.0%	3.82	2.45	—
2021	23	MIX MLE	2 levels	34	0	61	269	65	28	2	0%	1.8	18.2%	12.1%	6.1%	1.1%	3.86	3.70	—
2021	23	MIX RAW	2 levels	34	0	61	269	65	28	2	0%	1.8	24.2%	10.4%	13.8%	0.7%	3.86	2.77	—
2022	24	MIX MLE	2 levels	35	0	54	248	59	28	7	0%	1.5	17.9%	13.2%	4.7%	3.6%	4.19	5.24	—
2022	24	MIX RAW	2 levels	35	0	54	248	59	28	7	0%	1.5	23.8%	11.3%	12.5%	2.8%	4.19	4.16	—
2023	25	MIX MLE	2 levels	35	1	56	255	63	29	5	3%	1.6	19.6%	12.7%	6.9%	2.2%	6.27	4.28	—
2023	25	MIX RAW	2 levels	35	1	56	255	63	29	5	3%	1.6	24.7%	11.4%	13.3%	2.0%	6.27	3.56	—
2024	26	MIX MLE	3 levels	35	1	59	246	64	20	4	3%	1.7	20.2%	7.9%	12.2%	1.2%	4.30	3.06	—
2024	26	MIX MLE	3 levels	35	1	59	246	64	20	4	3%	1.7	20.2%	7.9%	12.2%	1.2%	4.30	3.06	—
2024	26	MIX RAW	3 levels	35	1	59	246	64	20	4	3%	1.7	26.0%	8.1%	17.9%	1.6%	4.30	2.83	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	DET	34	0	36	152	34	13	4	0%	1.1	22.5%	8.7%	13.8%	2.9%	4.29	4.29	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	DET	32	0	34	143	32	13	5	0%	1.1	22.2%	9.0%	13.2%	3.1%	4.40	4.47	+0.0
2028	30	MLB CTX	DET	10	0	10	42	9	4	1	0%	1.0	22.2%	9.0%	13.2%	3.1%	4.40	4.47	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		10	0	10	43	10	4	1	0%	1.0	22.2%	9.0%	13.2%	3.1%	4.40	4.09	+0.1
/ 200 IP	—	RAW		190	0	200	844	195	78	19	0%	1.1	22.2%	9.0%	13.2%	3.1%	4.40	4.09	+1.1
Career	—	MLE		155	2	260	1162	216	134	21	1%	1.7	18.6%	11.5%	7.1%	1.8%	4.54	3.96	+0.0
/ 200 IP	—	MLE		119	2	200	895	166	103	16	1%	1.7	18.6%	11.5%	7.1%	1.8%	4.54	3.96	+0.2

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 Bienlien (OGILVIE)	—	—	4.29	22.5%	8.7%	2.9%	—	4.47	22.2%	13.2%	34	+0.18	—	—	—
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	88
Diego Moreno R 2016 · 3.75 FIP	29	SU	3.75	21.0%	8.2%	2.5%	.347	3.13	17.8%	11.9%	54	-0.62	2.29	187	87
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
Ryan Brasier R 2016 · 3.68 FIP	28	SU	3.68	25.0%	7.7%	3.1%	.289	3.09	24.2%	17.9%	130	-0.59	2.31	426	85
Tyler Sturdevant R 2015 · 4.37 FIP	29	SU	4.37	21.3%	8.5%	3.6%	.241	3.97	18.5%	11.9%	118	-0.40	3.44	149	85
Coleman Huntley III R 2022 · 4.05 FIP	29	SU	4.05	24.4%	10.9%	3.0%	.311	2.38	20.9%	12.6%	25	-1.67	2.38	160	84
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	83
Gerardo Sanchez R 2017 · 3.47 FIP	28	SU	3.47	21.6%	8.4%	2.1%	.355	3.58	20.5%	15.1%	56	+0.11	2.65	137	82
Tyler Walker R 2005 · 4.19 FIP	29	SU	4.19	19.4%	7.5%	3.2%	.303	3.61	19.7%	11.3%	93	-0.58	2.38	289	82
Marc Magliaro R 2018 · 3.94 FIP	28	SU	3.94	19.6%	7.3%	2.9%	.307	—	—	—	—	—	3.94	125	81
Cody Hall R 2017 · 4.03 FIP	29	SU	4.03	26.8%	10.0%	3.5%	.299	3.92	25.9%	8.4%	19	-0.11	3.51	134	81
Mark Serrano R 2016 · 3.16 FIP	30	SU	3.16	17.7%	6.5%	1.3%	.290	4.36	21.1%	14.0%	88	+1.20	3.16	120	80
Blake Smith R 2016 · 3.59 FIP	28	SU	3.59	22.4%	8.6%	2.4%	.307	—	—	—	—	—	3.17	124	80
Dalier Hinojosa R 2015 · 3.41 FIP	29	SU	3.41	20.4%	9.8%	1.4%	.283	4.30	18.7%	6.1%	24	+0.89	3.41	104	80
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	80
Scott Atchison R 2004 · 3.61 FIP	28	SU	3.61	27.1%	9.0%	3.0%	.309	4.55	19.1%	11.5%	31	+0.94	2.52	340	79
Andrew Robinson R 2017 · 4.32 FIP	29	SU	4.32	23.4%	8.8%	3.8%	.245	—	—	—	—	—	3.19	160	79
Jason Bulger R 2008 · 4.60 FIP	29	SU	4.60	27.4%	12.3%	4.1%	.293	3.94	25.1%	13.3%	90	-0.66	3.78	106	78
Bo Schultz R 2015 · 4.30 FIP	29	SU	4.30	18.3%	7.9%	3.2%	.218	3.49	15.1%	8.9%	77	-0.81	2.73	141	78
Francisco Mendoza R 2016 · 3.81 FIP	28	SU	3.81	17.9%	7.7%	2.3%	.344	—	—	—	—	—	3.13	120	78

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	0.3	35	22.4%	8.8%	1.18	4.34
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
Ian Krol ('21)	1.0	42	21.2%	8.8%	1.25	4.49
Chris Hatcher ('18)	1.3	53	22.9%	8.4%	1.32	4.65
Dave Baldwin ('66-'73, 2 WAR*)	1.1	56	22.2%*	9.2%*	0.96*	3.97*
Ed Vosberg ('86-'02, 1 WAR*)	1.2	47	21.0%*	9.6%*	0.86*	4.06*
Gary Wayne ('89-'94, 2 WAR*)	1.2	62	19.9%*	9.4%*	1.05*	3.88*