Gabriel Sequeira

Gabriel Sequeira P West Michigan Whitecaps

Age 28 LHP 6'0" / 200 lbs A+

2026 ROS PROJECTION0 act + 1 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 107115vR 123

ERA4.73

FIP4.73

K%22.8%

BB%12.4%

K-BB%10.4%

ROS IP1

Value2026 · WAR

Runs saved vs league avg · 1 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 + 2026 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+ 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	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	28	MLB	DET	1	0	1	4	1	1	0	0%	1.0	22.8%	12.4%	10.4%	2.9%	4.73	4.73	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	29	MLB MLE	DET	19	0	20	84	19	10	3	0%	1.1	22.6%	12.3%	10.3%	3.1%	4.77	4.82	-0.1
2027	29	MLB CTX	DET	6	0	6	25	6	3	1	0%	1.0	22.6%	12.3%	10.3%	3.1%	4.77	4.82	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	6	26	6	3	1	0%	1.0	22.6%	12.3%	10.3%	3.1%	4.77	4.44	+0.0
/ 200 IP	—	RAW		190	0	200	844	198	99	33	0%	1.1	22.6%	12.3%	10.3%	3.1%	4.77	4.44	+0.3
Career	—	MLE		146	0	169	754	166	92	12	0%	1.2	22.1%	12.2%	9.8%	1.6%	4.11	3.69	-0.1
/ 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	-0.6

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
Gabriel Sequeira (OGILVIE)	—	—	4.73	22.8%	12.4%	2.9%	—	4.82	22.6%	10.3%	20	+0.09	—	—	—
Ashur Tolliver L 2016 · 4.19 FIP	28	SU	4.19	21.3%	9.8%	3.0%	.308	5.03	13.8%	-5.1%	35	+0.84	3.49	134	81
Mitchell Tyranski L 2023 · 5.14 FIP	25	SU	5.14	20.4%	13.6%	3.7%	.269	4.10	20.7%	6.1%	103	-1.04	3.46	145	80
Jeff Ibarra L 2016 · 3.75 FIP	28	SU	3.75	17.8%	9.7%	1.7%	.321	3.29	19.2%	13.8%	66	-0.46	2.85	101	80
Jeremy Horst L 2015 · 4.09 FIP	29	SU	4.09	18.8%	11.2%	2.1%	.291	3.71	15.1%	2.7%	48	-0.38	3.71	108	80
Dario Alvarez L 2017 · 3.68 FIP	28	SU	3.68	24.7%	12.4%	2.0%	.336	3.47	20.7%	8.3%	27	-0.21	3.47	160	80
Josh Edgin L 2016 · 3.64 FIP	29	SU	3.64	22.1%	13.2%	1.3%	.359	3.81	23.2%	13.6%	80	+0.17	3.63	113	79
Trevor Lane L 2022 · 4.05 FIP	28	SU	4.05	22.2%	12.7%	2.2%	.317	—	—	—	—	—	2.13	246	78
Josh Osich L 2017 · 5.00 FIP	28	SU	5.00	21.4%	12.9%	3.8%	.328	4.47	21.1%	14.1%	143	-0.53	3.41	315	78
Zac Rosscup L 2015 · 4.84 FIP	27	SU	4.84	24.6%	11.0%	4.4%	.296	2.85	29.5%	21.7%	40	-1.99	2.56	160	78
Aaron Brown L 2019 · 4.04 FIP	27	SU	4.04	22.9%	13.5%	2.1%	.317	4.77	19.4%	6.7%	129	+0.73	4.04	269	77
Mike Dunn L 2015 · 3.75 FIP	30	SU	3.75	27.7%	11.9%	2.7%	.294	4.21	22.5%	10.9%	110	+0.46	3.71	181	76
Adam Liberatore L 2015 · 3.64 FIP	28	SU	3.64	21.1%	7.3%	2.5%	.267	3.17	23.3%	15.2%	73	-0.47	2.38	124	76
Dan Runzler L 2015 · 3.78 FIP	30	SU	3.78	19.0%	13.1%	1.2%	.383	4.07	16.5%	4.0%	63	+0.29	3.78	127	75
Tommy Layne L 2015 · 3.61 FIP	30	SU	3.61	21.7%	12.1%	1.5%	.284	3.34	20.2%	11.0%	97	-0.27	1.32	182	75
Sam Freeman L 2015 · 4.21 FIP	28	SU	4.21	23.4%	14.6%	2.2%	.265	3.52	22.0%	10.3%	166	-0.69	3.03	299	75
Jordan Harrison L 2019 · 3.80 FIP	28	SU	3.80	19.1%	9.7%	2.0%	.311	—	—	—	—	—	3.80	244	75
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	75
Juan Grullon L 2016 · 4.64 FIP	26	SU	4.64	19.8%	10.9%	3.3%	.305	—	—	—	—	—	4.64	134	74
Kevin Siegrist L 2017 · 3.95 FIP	28	SU	3.95	25.0%	11.6%	2.7%	.327	—	—	—	—	—	2.72	176	73
Josh Smoker L 2017 · 4.20 FIP	28	SU	4.20	25.5%	9.4%	3.8%	.329	4.35	20.2%	11.3%	59	+0.15	2.71	230	73