Gabriel Sequeira

P West Michigan Whitecaps

Age 29 LHP 6'0" / 200 lbs A+

Overview

A+PROSPECT

MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	24	A+DET	46	49	3.12	3.45	25.0%	11.4%	—	K 19.2% · BB 13.1% · FIP 4.60
2023	25	A+DET	45	49	2.74	2.29	27.3%	7.7%	—	K 21.0% · BB 8.8% · FIP 3.19
2024	26	MIX4 levels	21	23	7.94	3.23	29.1%	16.4%	—	K 23.0% · BB 20.6% · FIP 4.92
2027PROJ	29	MLBDET	8	8	4.59	4.59	23.4%	11.4%	-0.0
2028PROJ30% MLB	30	MLBDET	6	6	4.67	4.74	23.0%	11.4%	-0.0

Next 2 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsClay Rapada (age 30) · Raul Valdes (age 32) · Edward Paredes (age 29)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 104112vR 120

ERA4.59

FIP4.59

K%23.4%

BB%11.4%

K-BB%12.0%

Proj IP8

Value2027 · WAR

Runs saved vs league avg · 8 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)
2021	23	A MLE	Lakeland Flying Tigers	34	0	48	215	74	19	1	0%	1.4	25.5%	10.4%	15.0%	0.6%	4.72	2.62	—
2021	23	A RAW	Lakeland Flying Tigers	34	0	48	215	74	19	1	0%	1.4	34.4%	8.8%	25.6%	0.5%	4.72	1.46	—
2022	24	A+ MLE	West Michigan Whitecaps	46	0	49	220	55	25	4	0%	1.1	19.2%	13.1%	6.2%	2.7%	3.12	4.60	—
2022	24	A+ RAW	West Michigan Whitecaps	46	0	49	220	55	25	4	0%	1.1	25.0%	11.4%	13.6%	1.8%	3.12	3.45	—
2023	25	A+ MLE	West Michigan Whitecaps	45	0	49	209	57	16	2	0%	1.1	21.0%	8.8%	12.2%	1.4%	2.74	3.19	—
2023	25	A+ RAW	West Michigan Whitecaps	45	0	49	209	57	16	2	0%	1.1	27.3%	7.7%	19.6%	1.0%	2.74	2.29	—
2024	26	MIX MLE	4 levels	21	0	23	110	32	18	1	0%	1.1	23.0%	20.6%	2.4%	2.1%	7.94	4.92	—
2024	26	MIX MLE	4 levels	21	0	23	110	32	18	1	0%	1.1	23.0%	20.6%	2.4%	2.1%	7.94	4.92	—
2024	26	MIX RAW	4 levels	21	0	23	110	32	18	1	0%	1.1	29.1%	16.4%	12.7%	0.9%	7.94	3.23	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	DET	8	0	8	34	8	4	1	0%	1.0	23.4%	11.4%	12.0%	3.0%	4.59	4.59	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	DET	19	0	20	84	19	10	3	0%	1.1	23.0%	11.4%	11.6%	3.2%	4.67	4.74	-0.0
2028	30	MLB CTX	DET	6	0	6	25	6	3	1	0%	1.0	23.0%	11.4%	11.6%	3.2%	4.67	4.74	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	6	26	6	3	1	0%	1.0	23.0%	11.4%	11.6%	3.2%	4.67	4.36	+0.0
/ 200 IP	—	RAW		190	0	200	844	198	99	33	0%	1.1	23.0%	11.4%	11.6%	3.2%	4.67	4.36	+0.5
Career	—	MLE		146	0	169	754	166	92	12	0%	1.2	22.1%	12.2%	9.8%	1.6%	4.11	3.69	-0.0
/ 200 IP	—	MLE		173	0	200	894	197	109	15	0%	1.2	22.1%	12.2%	9.8%	1.6%	4.11	3.69	-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
Gabriel Sequeira (OGILVIE)	—	—	4.59	23.4%	11.4%	3.0%	—	4.74	23.0%	11.6%	20	+0.15	—	—	—
Clay Rapada L 2011 · 4.34 FIP	30	SU	4.34	26.1%	10.1%	3.9%	.268	3.00	24.5%	14.2%	38	-1.34	3.00	120	83
Raul Valdes L 2010 · 4.02 FIP	32	SU	4.02	21.4%	9.9%	2.7%	.301	3.14	27.4%	22.5%	78	-0.88	2.29	160	80
Edward Paredes L 2016 · 3.47 FIP	29	SU	3.47	24.1%	13.0%	1.4%	.225	3.55	23.7%	14.0%	86	+0.08	2.36	130	80
Nick Hagadone L 2015 · 3.65 FIP	29	SU	3.65	22.6%	8.9%	2.4%	.329	3.74	22.6%	13.3%	33	+0.09	2.97	141	79
Colton Johnson L 2024 · 3.92 FIP	26	SU	3.92	20.8%	11.0%	2.1%	.309	4.53	12.2%	-0.4%	48	+0.61	3.92	106	77
Sammy Solís L 2018 · 4.39 FIP	29	SU	4.39	24.9%	9.6%	4.0%	.330	4.05	26.2%	17.3%	23	-0.34	2.51	190	77
Jose Meraz L 2017 · 4.34 FIP	29	SU	4.34	16.4%	10.3%	2.4%	.282	3.80	10.5%	-2.0%	30	-0.54	3.78	110	76
Josh Smoker L 2018 · 3.66 FIP	29	SU	3.66	22.1%	8.4%	2.5%	.318	6.58	14.2%	3.4%	14	+2.92	2.71	230	76
Juan Pablo Perez L 2007 · 5.32 FIP	28	SU	5.32	17.5%	14.0%	3.5%	.324	—	—	—	—	—	1.75	104	76
Jeff Ibarra L 2017 · 3.64 FIP	29	SU	3.64	18.1%	7.0%	2.1%	.342	2.85	20.6%	17.2%	29	-0.79	2.85	101	76
Darin Downs L 2014 · 3.78 FIP	29	SU	3.78	18.2%	11.5%	1.4%	.255	4.06	12.9%	8.7%	16	+0.28	2.83	107	75
Matt Thornton L 2006 · 3.43 FIP	29	SU	3.43	21.6%	7.5%	2.2%	.263	2.61	27.2%	20.5%	196	-0.82	1.71	663	74
Keith Hessler L 2018 · 4.96 FIP	29	SU	4.96	19.8%	13.3%	3.4%	.348	—	—	—	—	—	3.31	228	74
Andrew Barbosa L 2017 · 4.67 FIP	29	SU	4.67	20.2%	9.6%	3.8%	.301	—	—	—	—	—	2.70	175	74
Arturo Barradas L 2017 · 3.42 FIP	29	SU	3.42	18.1%	7.0%	1.8%	.288	3.24	16.1%	9.5%	34	-0.18	3.24	163	73
Mike Zagurski L 2012 · 4.48 FIP	29	SU	4.48	20.9%	11.7%	3.0%	.305	—	—	—	—	—	2.94	120	73
Colt Hynes L 2013 · 4.76 FIP	28	SU	4.76	15.5%	8.3%	3.5%	.361	3.49	19.3%	12.8%	96	-1.27	3.42	169	73
Dario Alvarez L 2018 · 3.47 FIP	29	SU	3.47	20.7%	12.4%	1.0%	.250	—	—	—	—	—	3.47	160	73
Ryan Verdugo L 2015 · 3.61 FIP	28	SU	3.61	19.8%	10.8%	1.5%	.281	3.36	22.7%	17.3%	82	-0.25	3.36	153	72
Stephen Randolph L 2003 · 4.83 FIP	29	SU	4.83	18.5%	14.8%	2.6%	.247	5.69	15.8%	-3.0%	82	+0.86	4.83	155	72