Seranthony Domínguez

Seranthony Domínguez P Seattle Mariners

Age 31 RHP 6'1" / 225 lbs MLB peak 0.3 · 2026

2026 ROS PROJECTION56 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 108100vR 92

ERA3.91

FIP3.98

K%27.0%

BB%11.6%

K-BB%15.4%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 60 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF6060

CTRL3535

CMD5555

K†6565

Statcast Percentiles

FB Velo

p8897.2

Whiff%

p6227.1%

p6525.0%

xwOBA vs

p490.313

SL+0.6 (28%)

SI (17%)

CU (1%)

FB-1.4 (59%)

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)
2015	20	ROK MLE	GCL Phillies	2	1	8	36	9	7	1	50%	3.8	25.0%	19.4%	5.6%	2.8%	2.35	4.98	—
2015	20	ROK RAW	GCL Phillies	2	1	8	36	9	7	1	50%	3.8	25.0%	19.4%	5.6%	2.8%	2.35	5.19	—
2016	21	A MLE	Lakewood BlueClaws	10	10	48	193	50	20	2	100%	4.8	19.2%	12.2%	6.9%	1.6%	2.42	3.89	—
2016	21	A RAW	Lakewood BlueClaws	10	10	48	193	50	20	2	100%	4.8	25.9%	10.4%	15.5%	1.0%	2.42	2.81	—
2017	22	MIX MLE	2 levels	17	15	68	285	82	34	6	88%	4.0	22.2%	13.3%	8.9%	2.7%	3.72	4.40	—
2017	22	MIX RAW	2 levels	17	15	68	285	82	34	6	88%	4.0	28.8%	11.9%	16.8%	2.1%	3.72	3.34	—
2018	23	MIX MLE	3 levels	64	0	75	292	95	23	4	0%	1.2	32.0%	8.7%	23.4%	1.6%	2.65	2.38	+2.0
2018	23	MIX RAW	3 levels	64	0	75	292	95	23	4	0%	1.2	32.5%	7.9%	24.7%	1.4%	2.65	2.18	+2.1
2019	24	MLB MLE	Philadelphia Phillies	27	0	25	110	29	12	3	0%	0.9	26.4%	10.9%	15.5%	2.5%	4.01	3.65	+0.3
2019	24	MLB RAW	Philadelphia Phillies	27	0	25	110	29	12	3	0%	0.9	26.4%	10.9%	15.5%	2.7%	4.01	3.79	+0.2
2021	26	MIX MLE	4 levels	20	3	21	104	24	12	5	15%	1.1	22.3%	13.3%	9.0%	1.8%	7.59	3.90	+0.2
2021	26	MIX RAW	4 levels	20	3	21	104	24	12	5	15%	1.1	23.1%	11.5%	11.5%	4.8%	7.59	5.58	-0.3
2022	27	MIX MLE	2 levels	55	0	52	211	62	23	4	0%	0.9	29.5%	10.1%	19.3%	1.8%	2.94	2.89	+1.0
2022	27	MIX RAW	2 levels	55	0	52	211	62	23	4	0%	0.9	29.4%	10.9%	18.5%	1.9%	2.94	3.04	+0.9
2023	28	MIX MLE	2 levels	59	0	52	232	53	23	7	0%	0.9	21.4%	9.8%	11.6%	2.9%	3.63	4.13	+0.3
2023	28	MIX MLE	2 levels	59	0	52	232	53	23	7	0%	0.9	21.4%	9.8%	11.6%	2.9%	3.63	4.13	+0.3
2023	28	MIX RAW	2 levels	59	0	52	232	53	23	7	0%	0.9	22.8%	9.9%	12.9%	3.0%	3.63	4.14	+0.3
2024	29	MLB MLE	Baltimore Orioles	63	0	59	255	68	21	12	0%	0.9	26.7%	8.2%	18.4%	4.7%	4.45	4.49	+0.0
2024	29	MLB MLE	Baltimore Orioles	63	0	59	255	68	21	12	0%	0.9	26.7%	8.2%	18.4%	4.7%	4.45	4.49	+0.0
2024	29	MLB RAW	Baltimore Orioles	63	0	59	255	68	21	12	0%	0.9	26.7%	8.2%	18.4%	4.7%	4.45	4.51	+0.0
2025	30	MLB MLE	Toronto Blue Jays	67	0	63	261	79	34	5	0%	0.9	30.3%	13.0%	17.2%	1.9%	3.16	3.25	+1.0
2025	30	MLB MLE	Toronto Blue Jays	67	0	63	261	79	34	5	0%	0.9	30.3%	13.0%	17.2%	1.9%	3.16	3.25	+1.0
2025	30	MLB RAW	Toronto Blue Jays	67	0	63	261	79	34	5	0%	0.9	30.3%	13.0%	17.2%	1.9%	3.16	3.24	+1.0
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			383	0	362	1527	419	159	44	0%	0.9	27.4%	10.4%	17.0%	2.9%	3.58	3.68	+3.7
▸ 2026 season
YTD	31	MLB MLE	Seattle Mariners	61	0	56	236	59	29	9	0%	0.9	25.0%	12.3%	12.7%	3.9%	4.04	4.69	-0.1
YTD	31	MLB MLE	Seattle Mariners	61	0	56	236	59	29	9	0%	0.9	25.0%	12.3%	12.7%	3.9%	4.04	4.69	-0.1
▸ 2026 season — so far · projected rest · full
2026	31	MLB RAW	SEA	61	0	56	236	59	29	9	0%	0.9	25.0%	12.3%	12.7%	3.8%	4.04	4.64	-0.1
SO FAR	31	MLB RAW	SEA	61	0	56	236	59	29	9	0%	0.9	25.0%	12.3%	12.7%	3.8%	4.04	4.64	-0.1
ROS	31	MLB MLE	SEA	4	0	5	20	5	2	1	0%	1.2	27.0%	11.6%	15.4%	3.1%	3.91	3.98	+0.0
ROS	31	MLB CTX	SEA	5	0	5	21	6	2	1	0%	1.0	27.0%	11.6%	15.4%	3.1%	3.91	3.98	+0.0
2026 TOT	31	MLB MLE	SEA	—	—	60	256	64	31	10	—	—	25.2%	12.2%	12.9%	3.8%	4.03	4.64	-0.1
FULL	31	MLB A+C	SEA	—	—	60	255	64	31	10	—	—	25.3%	12.3%	13.0%	3.8%	4.03	4.59	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	32	MLB MLE	SEA	49	0	52	219	58	26	8	0%	1.1	26.6%	12.0%	14.6%	3.5%	4.54	4.67	-0.1
2028	33	MLB MLE	SEA	45	0	48	201	52	25	8	0%	1.1	25.8%	12.5%	13.3%	3.8%	4.79	4.95	-0.2
2029	34	MLB MLE	SEA	41	0	43	182	45	24	7	0%	1.1	24.9%	13.0%	11.9%	4.1%	5.07	5.26	-0.3
2027	32	MLB CTX	SEA	50	0	52	220	58	26	8	0%	1.0	26.6%	12.0%	14.6%	3.5%	4.54	4.67	-0.1
2028	33	MLB CTX	SEA	46	0	48	203	52	25	8	0%	1.0	25.8%	12.5%	13.3%	3.8%	4.79	4.95	-0.2
2029	34	MLB CTX	SEA	41	0	43	182	45	24	7	0%	1.0	24.9%	13.0%	11.9%	4.1%	5.07	5.26	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		523	0	509	2149	580	236	67	0%	1.0	27.0%	11.0%	16.0%	3.1%	3.92	3.93	+3.7
/ 200 IP	—	RAW		206	0	200	844	228	93	26	0%	1.0	27.0%	11.0%	16.0%	3.1%	3.92	3.93	+1.5
Career	—	MLE		445	29	525	2215	573	248	58	7%	1.2	25.9%	11.2%	14.7%	2.6%	3.56	3.77	+3.1
/ 200 IP	—	MLE		169	11	200	843	218	94	22	7%	1.2	25.9%	11.2%	14.7%	2.6%	3.56	3.77	+1.2

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
Seranthony Domínguez (OGILVIE)	—	—	4.05	29.4%	11.2%	3.0%	—	4.94	25.8%	13.4%	142	+0.89	—	—	—
Blake Wood R 2017 · 3.44 FIP	31	SU	3.44	25.3%	9.3%	2.4%	.364	—	—	—	—	—	2.92	210	80
Chris Hatcher R 2016 · 4.61 FIP	31	SU	4.61	23.8%	9.4%	4.2%	.283	4.69	22.0%	13.8%	96	+0.08	2.92	176	76
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	76
Brad Brach R 2017 · 3.36 FIP	31	SU	3.36	25.5%	9.1%	2.3%	.254	3.68	22.8%	11.1%	129	+0.32	2.69	410	76
Ryan Cook R 2018 · 3.96 FIP	31	SU	3.96	25.1%	10.8%	2.9%	.280	—	—	—	—	—	3.96	102	75
Daniel Hudson R 2018 · 3.91 FIP	31	SU	3.91	22.3%	8.6%	2.9%	.246	3.69	28.8%	20.4%	145	-0.22	1.68	468	75
Jonathan Broxton R 2015 · 3.67 FIP	31	SU	3.67	24.5%	8.2%	2.9%	.325	3.89	21.7%	13.5%	76	+0.22	3.67	137	73
Hirokazu Sawamura R 2021 · 4.48 FIP	33	SU	4.48	26.2%	11.2%	4.0%	.263	4.02	18.1%	6.8%	51	-0.46	4.02	104	73
Fernando Rodriguez Jr. R 2015 · 3.34 FIP	31	SU	3.34	26.5%	9.6%	2.3%	.241	3.89	23.3%	13.2%	105	+0.55	3.34	212	72
Joe Kelly R 2019 · 3.30 FIP	31	SU	3.30	27.4%	8.8%	2.5%	.312	2.71	29.2%	18.8%	81	-0.59	2.38	556	72
Tyler Chatwood R 2021 · 3.54 FIP	31	SU	3.54	26.2%	14.5%	1.5%	.286	—	—	—	—	—	3.30	537	72
Ryan Brasier R 2019 · 4.12 FIP	31	SU	4.12	25.3%	8.3%	3.8%	.278	3.56	24.3%	18.2%	99	-0.56	2.31	426	71
Matt Bush R 2017 · 3.60 FIP	31	SU	3.60	24.2%	7.9%	2.8%	.321	4.72	17.6%	4.6%	23	+1.12	2.87	249	71
Shintaro Fujinami R 2023 · 4.09 FIP	29	SU	4.09	23.2%	12.3%	2.5%	.290	4.55	21.2%	-0.6%	51	+0.46	4.09	130	71
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	70
Luis García R 2018 · 3.05 FIP	31	SU	3.05	25.0%	8.3%	1.8%	.341	4.16	22.5%	13.9%	113	+1.11	2.33	617	70
Tom Wilhelmsen R 2015 · 3.07 FIP	31	SU	3.07	22.5%	9.7%	1.1%	.298	5.78	13.8%	4.1%	86	+2.71	3.07	148	70
Pedro Báez R 2019 · 3.14 FIP	31	SU	3.14	25.0%	8.0%	2.1%	.207	4.30	18.6%	8.6%	17	+1.16	2.29	332	70
Danny Farquhar R 2017 · 3.62 FIP	30	SU	3.62	22.3%	11.0%	1.8%	.247	—	—	—	—	—	3.62	224	70
Blake Treinen R 2019 · 4.98 FIP	31	SU	4.98	22.2%	13.5%	3.7%	.302	2.60	27.3%	19.4%	98	-2.38	1.53	547	70

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.0	50	26.8%	12.1%	1.37	4.56
Lucas Sims ('24)	1.4	47	27.6%	11.6%	1.24	4.22
Amir Garrett ('23)	1.5	51	25.8%	13.4%	1.50	5.10
Robert Stephenson ('23)	1.7	57	26.2%	9.9%	1.39	4.33
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Michael Feliz ('21)	1.2	47	30.5%	9.8%	1.48	5.05
José Cisnero ('23)	1.1	42	24.8%	11.3%	0.94	3.84