Trevin Michael

P Erie SeaWolves

Age 29 RHP 6'2" / 200 lbs AA peak 0.1 · 2027

Overview

AAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	26	MIX2 levels	39	1	58	3.12	3.15	29.7%	7.0%	—	K 22.9% · BB 7.6% · FIP 4.40
2025	27	MIX3 levels	39	0	66	2.18	2.54	29.7%	8.6%	—	K 23.0% · BB 9.1% · FIP 3.77
2026	28	AADET	38	1	49	1.46	2.59	30.2%	13.9%	—	K 24.5% · BB 15.2% · FIP 3.29
2027PROJ	29	MLBDET	29	0	30	4.40	4.40	23.7%	12.1%	0.1
2028PROJ31% MLB	30	MLBDET	9	0	9	4.50	4.57	23.3%	12.1%	-0.0

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

Contract

No contract data on file.

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

CompsJoe Nelson (age 31) · Jim Miller (age 30) · Dustin Molleken (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 117109vR 101

ERA4.40

FIP4.40

K%23.7%

BB%12.1%

K-BB%11.6%

Proj IP30

Value2027 · WAR

Runs saved vs league avg · 30 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)
2022	24	MIX MLE	3 levels	10	0	12	49	17	4	3	0%	1.2	34.7%	8.2%	26.5%	6.1%	5.84	4.56	—
2022	24	MIX RAW	3 levels	10	0	12	49	17	4	3	0%	1.2	34.7%	8.2%	26.5%	6.1%	5.84	4.48	—
2023	25	MIX MLE	3 levels	42	1	50	212	67	24	1	2%	1.2	23.2%	8.3%	14.9%	0.9%	3.44	2.66	—
2023	25	MIX RAW	3 levels	42	1	50	212	67	24	1	2%	1.2	31.6%	11.3%	20.3%	0.5%	3.44	2.11	—
2024	26	MIX MLE	2 levels	39	1	58	229	68	16	7	3%	1.5	22.9%	7.6%	15.2%	4.1%	3.12	4.40	—
2024	26	MIX MLE	2 levels	39	1	58	229	68	16	7	3%	1.5	22.9%	7.6%	15.2%	4.1%	3.12	4.40	—
2024	26	MIX RAW	2 levels	39	1	58	229	68	16	7	3%	1.5	29.7%	7.0%	22.7%	3.1%	3.12	3.15	—
2025	27	MIX MLE	3 levels	39	0	66	266	79	23	4	0%	1.7	23.0%	9.1%	13.9%	2.7%	2.18	3.77	—
2025	27	MIX MLE	3 levels	39	0	66	266	79	23	4	0%	1.7	23.0%	9.1%	13.9%	2.7%	2.18	3.77	—
2025	27	MIX RAW	3 levels	39	0	66	266	79	23	4	0%	1.7	29.7%	8.6%	21.1%	1.5%	2.18	2.54	—
2026	28	AA MLE	Erie SeaWolves	38	1	49	202	61	28	1	3%	1.3	24.5%	15.2%	9.2%	0.6%	1.46	3.29	—
2026	28	AA MLE	Erie SeaWolves	38	1	49	202	61	28	1	3%	1.3	24.5%	15.2%	9.2%	0.6%	1.46	3.29	—
2026	28	AA RAW	Erie SeaWolves	38	1	49	202	61	28	1	3%	1.3	30.2%	13.9%	16.3%	0.5%	1.46	2.59	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	DET	29	0	30	127	30	15	3	0%	1.0	23.7%	12.1%	11.6%	2.5%	4.40	4.40	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	DET	27	0	28	119	28	14	3	0%	1.0	23.3%	12.1%	11.2%	2.8%	4.50	4.57	-0.0
2028	30	MLB CTX	DET	9	0	9	38	9	5	1	0%	1.0	23.3%	12.1%	11.2%	2.8%	4.50	4.57	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		8	0	9	37	9	5	1	0%	1.1	23.3%	12.1%	11.2%	2.8%	4.50	4.19	+0.0
/ 200 IP	—	RAW		190	0	200	844	203	113	23	0%	1.1	23.3%	12.1%	11.2%	2.8%	4.50	4.19	+0.9
Career	—	MLE		168	3	235	958	229	94	23	2%	1.4	23.9%	9.8%	14.1%	2.4%	2.72	3.62	-0.0
/ 200 IP	—	MLE		143	3	200	815	195	80	19	2%	1.4	23.9%	9.8%	14.1%	2.4%	2.72	3.62	-0.0

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
Trevin Michael (OGILVIE)	—	—	4.40	23.7%	12.1%	2.5%	—	4.57	23.3%	11.2%	28	+0.17	—	—	—
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	88
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	86
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	86
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
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	83
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	83
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	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	80
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	80
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	80
Marcos Mateo R 2011 · 3.40 FIP	27	SU	3.40	25.5%	10.2%	2.1%	.361	—	—	—	—	—	3.12	104	80
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	80
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	79
Michael Dimock R 2018 · 3.37 FIP	28	SU	3.37	23.5%	10.7%	1.6%	.346	—	—	—	—	—	3.08	166	79
Brandon Cunniff R 2017 · 4.79 FIP	28	SU	4.79	20.1%	11.6%	3.5%	.275	6.80	13.9%	-1.9%	30	+2.01	3.89	180	79
Jose Veras R 2010 · 4.10 FIP	29	SU	4.10	26.9%	14.4%	2.6%	.239	3.42	25.3%	14.8%	201	-0.68	3.37	422	79
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	79
Grant Sides R 2019 · 3.31 FIP	30	SU	3.31	21.7%	9.8%	1.5%	.267	—	—	—	—	—	3.31	159	78
Manny Acosta R 2010 · 3.61 FIP	29	SU	3.61	26.8%	10.8%	2.5%	.277	4.12	21.9%	12.6%	94	+0.51	3.08	350	78
Cole McDonald R 2024 · 5.01 FIP	27	SU	5.01	20.9%	12.7%	3.8%	.281	—	—	—	—	—	2.81	153	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	29	23.5%	12.1%	1.02	4.45
José Cisnero ('24)	1.4	46	24.0%	11.3%	1.01	4.16
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Yorkis Perez ('02)	1.4	40	20.8%	11.8%	0.93	4.44
Fernando Rodriguez Jr. ('16)	1.2	58	24.6%	11.1%	0.93	4.35
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Mac Scarce ('72-'78, 1 WAR*)	1.0	52	25.9%*	12.4%*	1.27*	4.17*