Ethan Sloan

P West Michigan Whitecaps

Age 24 LHP 5'11" / 190 lbs A+

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	22	ADET	34	47	3.61	3.61	20.2%	8.9%	—	K 14.9% · BB 10.5% · FIP 4.79
2026	23	A+DET	33	42	8.14	4.74	16.0%	9.2%	—	K 12.3% · BB 10.6% · FIP 5.40
2027PROJ	24	MLBDET	54	57	5.69	5.69	12.2%	12.2%	-0.7
2028PROJ43% MLB	25	MLBDET	24	25	5.46	5.40	14.6%	11.6%	-0.2
2029PROJ66% MLB	26	MLBDET	36	38	5.30	5.26	15.9%	11.4%	-0.3

Next 3 projected WAR -1.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff35Control40Command35

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 100%

CompsJaime Cerda (age 24) · Chris Reed (age 25) · Trevor Seidenberger (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 125133vR 141

ERA5.69

FIP5.69

K%12.2%

BB%12.2%

K-BB%0.0%

Proj IP57

Value2027 · WAR

Runs saved vs league avg · 57 IP

Grades · Contract

Scouting Grades

STUF3535

CTRL4040

CMD3535

K†3030

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)
2024	21	A MLE	Lakeland Flying Tigers	2	0	2	12	3	4	0	0%	0.8	25.0%	33.3%	-8.3%	0.0%	10.80	5.21	—
2024	21	A MLE	Lakeland Flying Tigers	2	0	2	12	3	4	0	0%	0.8	25.0%	33.3%	-8.3%	0.0%	10.80	5.21	—
2024	21	A RAW	Lakeland Flying Tigers	2	0	2	12	3	4	0	0%	0.8	25.0%	33.3%	-8.3%	0.0%	10.80	6.70	—
2025	22	A MLE	Lakeland Flying Tigers	34	0	47	203	41	18	4	0%	1.4	14.9%	10.5%	4.5%	3.0%	3.61	4.79	—
2025	22	A MLE	Lakeland Flying Tigers	34	0	47	203	41	18	4	0%	1.4	14.9%	10.5%	4.5%	3.0%	3.61	4.79	—
2025	22	A RAW	Lakeland Flying Tigers	34	0	47	203	41	18	4	0%	1.4	20.2%	8.9%	11.3%	2.0%	3.61	3.61	—
2026	23	A+ MLE	West Michigan Whitecaps	33	0	42	206	33	19	6	0%	1.3	12.3%	10.6%	1.7%	3.6%	8.14	5.40	—
2026	23	A+ MLE	West Michigan Whitecaps	33	0	42	206	33	19	6	0%	1.3	12.3%	10.6%	1.7%	3.6%	8.14	5.40	—
2026	23	A+ RAW	West Michigan Whitecaps	33	0	42	206	33	19	6	0%	1.3	16.0%	9.2%	6.8%	2.9%	8.14	4.74	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	DET	54	0	57	241	29	29	7	0%	1.1	12.2%	12.2%	0.0%	3.1%	5.69	5.69	-0.7
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	DET	55	0	58	244	36	28	7	0%	1.1	14.6%	11.6%	3.0%	3.1%	5.46	5.40	-0.5
2029	26	MLB MLE	DET	55	0	58	244	39	28	7	0%	1.1	15.9%	11.4%	4.6%	3.1%	5.30	5.26	-0.5
2028	25	MLB CTX	DET	24	0	25	106	15	12	3	0%	1.0	14.6%	11.6%	3.0%	3.1%	5.46	5.40	-0.2
2029	26	MLB CTX	DET	36	0	38	160	26	18	5	0%	1.1	15.9%	11.4%	4.6%	3.1%	5.30	5.26	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		60	0	63	267	41	31	8	0%	1.1	15.4%	11.5%	3.9%	3.1%	5.36	4.93	-0.3
/ 200 IP	—	RAW		190	0	200	844	130	98	25	0%	1.1	15.4%	11.5%	3.9%	3.1%	5.36	4.93	-0.9
Career	—	MLE		69	0	91	421	59	47	14	0%	1.3	14.0%	11.2%	2.8%	3.2%	5.84	5.10	-1.1
/ 200 IP	—	MLE		152	0	200	925	129	103	30	0%	1.3	14.0%	11.2%	2.8%	3.2%	5.84	5.10	-1.8

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
Ethan Sloan (OGILVIE)	—	—	5.69	12.2%	12.2%	3.1%	—	5.33	15.2%	3.8%	116	-0.36	—	—	—
Jaime Cerda L 2003 · 5.18 FIP	24	SU	5.18	13.2%	13.2%	2.8%	.275	3.92	17.2%	5.0%	65	-1.26	3.10	123	88
Chris Reed L 2015 · 4.92 FIP	25	SU	4.92	15.4%	14.5%	2.3%	.284	4.67	16.4%	6.6%	81	-0.25	4.67	137	87
Trevor Seidenberger L 2016 · 6.29 FIP	24	SU	6.29	13.1%	14.9%	4.4%	.309	—	—	—	—	—	4.64	101	86
Chandler Hawkins L 2017 · 4.76 FIP	24	SU	4.76	13.5%	11.7%	2.4%	.255	—	—	—	—	—	3.51	115	82
Chris Nunn L 2015 · 5.49 FIP	24	SU	5.49	13.9%	16.8%	2.6%	.350	3.92	19.3%	6.7%	37	-1.57	3.30	180	82
Bryan Harper L 2015 · 4.90 FIP	25	SU	4.90	15.2%	9.4%	3.5%	.236	4.38	17.1%	5.3%	92	-0.52	4.13	133	81
Jose Meraz L 2015 · 4.71 FIP	27	SU	4.71	13.3%	12.0%	2.2%	.331	4.06	15.3%	6.7%	44	-0.65	3.78	110	81
Andre Wheeler L 2016 · 5.25 FIP	24	SU	5.25	17.5%	12.1%	3.8%	.347	5.01	14.4%	2.4%	29	-0.24	3.82	150	80
Frank Garces L 2015 · 5.65 FIP	25	SU	5.65	16.7%	13.3%	4.2%	.267	4.32	16.9%	8.9%	114	-1.33	4.32	306	80
Ryne Slack L 2016 · 4.95 FIP	24	SU	4.95	15.2%	13.6%	2.6%	.247	5.03	15.6%	2.9%	93	+0.08	4.07	212	80
Michael Roth L 2014 · 5.10 FIP	24	SU	5.10	15.0%	11.7%	3.3%	.333	4.48	13.4%	6.1%	381	-0.62	2.34	515	80
Andy Cox L 2018 · 5.35 FIP	24	SU	5.35	13.9%	11.1%	3.7%	.318	3.70	22.2%	4.7%	52	-1.65	2.51	120	80
Jason Kershner L 2002 · 4.76 FIP	25	SU	4.76	16.8%	12.1%	2.8%	.233	4.04	14.5%	8.1%	76	-0.72	3.87	100	79
Gerardo Concepción L 2016 · 4.53 FIP	24	SU	4.53	16.9%	10.4%	2.8%	.311	—	—	—	—	—	4.53	104	79
Dan Jennings L 2012 · 5.13 FIP	25	SU	5.13	9.3%	11.6%	2.5%	.242	3.04	20.5%	12.4%	137	-2.09	2.60	344	79
Winston Lavendier L 2017 · 5.06 FIP	24	SU	5.06	17.8%	12.9%	3.4%	.344	4.94	14.2%	4.7%	21	-0.12	2.98	179	79
Joe Kemlage L 2023 · 5.35 FIP	24	SU	5.35	17.6%	11.7%	4.1%	.349	—	—	—	—	—	4.42	128	79
Stephen Peterson L 2015 · 4.59 FIP	27	SU	4.59	13.0%	9.5%	2.5%	.284	3.04	17.3%	6.3%	55	-1.55	3.04	120	78
Gabriel Sequeira L 2022 · 4.60 FIP	24	SU	4.60	19.3%	13.1%	2.7%	.294	3.57	21.4%	10.0%	63	-1.03	2.62	160	78
Michael Freeman L 2016 · 5.06 FIP	24	SU	5.06	8.4%	13.3%	1.8%	.347	5.11	11.9%	-6.6%	20	+0.05	3.58	113	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	0.9	58	14.3%	11.7%	1.19	5.48
Brian Stokes ('10)	1.0	52	14.5%	10.1%	1.22	5.27
Luther Hackman ('03)	1.1	71	13.3%	10.9%	1.10	5.09
Rodney Myers ('04)	1.2	60	15.0%	10.3%	1.05	5.07
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Jim Winn ('83-'88, -1 WAR*)	1.5	77	15.1%*	11.0%*	1.09*	4.96*