Eduard Bazardo — OGILVIE

Eduard Bazardo P Seattle Mariners

Age 30 RHP 6'0" / 190 lbs MLB peak 0.5 · 2026

2026 ROS PROJECTION62 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 109101vR 93

ERA3.47

FIP3.71

K%24.0%

BB%7.5%

K-BB%16.5%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 68 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF4040

CTRL5050

CMD6060

K†6060

Statcast Percentiles

FB Velo

p6495.5

Whiff%

p2221.4%

p5523.2%

xwOBA vs

p320.333

FB+3.1 (63%)

SI (62%)

SL-1.7 (35%)

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	19	ROK MLE	DSL Red Sox 1	14	14	58	244	55	16	2	100%	4.1	15.3%	8.2%	7.1%	1.1%	4.37	3.47	—
2015	19	ROK RAW	DSL Red Sox 1	14	14	58	244	55	16	2	100%	4.1	22.5%	6.6%	16.0%	0.8%	4.37	2.48	—
2016	20	ROK MLE	DSL Red Sox 1	17	1	45	171	48	18	0	6%	2.7	19.1%	13.2%	5.9%	0.0%	0.79	3.15	—
2016	20	ROK RAW	DSL Red Sox 1	17	1	45	171	48	18	0	6%	2.7	28.1%	10.5%	17.5%	0.0%	0.79	2.17	—
2017	21	ROK MLE	GCL Red Sox	17	2	56	229	67	16	0	12%	3.3	19.9%	8.7%	11.2%	0.0%	2.41	2.53	—
2017	21	ROK RAW	GCL Red Sox	17	2	56	229	67	16	0	12%	3.3	29.3%	7.0%	22.3%	0.0%	2.41	1.56	—
2018	22	A MLE	Greenville Drive	5	5	28	114	28	2	2	100%	5.6	18.2%	2.1%	16.1%	2.5%	3.21	3.18	—
2018	22	A RAW	Greenville Drive	5	5	28	114	28	2	2	100%	5.6	24.6%	1.8%	22.8%	1.8%	3.21	2.24	—
2019	23	MIX MLE	2 levels	38	0	73	297	88	22	3	0%	1.9	23.3%	8.3%	15.0%	1.2%	2.21	2.86	—
2019	23	MIX RAW	2 levels	38	0	73	297	88	22	3	0%	1.9	29.6%	7.4%	22.2%	1.0%	2.21	2.13	—
2021	25	MIX MLE	3 levels	16	0	18	85	24	8	3	0%	1.1	18.5%	9.2%	9.3%	4.4%	5.40	5.11	-0.1
2021	25	MIX RAW	3 levels	16	0	18	85	24	8	3	0%	1.1	28.2%	9.4%	18.8%	3.5%	5.40	3.92	+0.1
2022	26	MIX MLE	2 levels	49	4	74	320	71	23	9	8%	1.5	19.9%	7.5%	12.5%	3.1%	3.30	4.07	+0.4
2022	26	MIX RAW	2 levels	49	4	74	320	71	23	9	8%	1.5	22.2%	7.2%	15.0%	2.8%	3.30	3.70	+0.7
2023	27	MIX MLE	2 levels	49	1	64	268	73	20	4	2%	1.3	23.6%	6.9%	16.7%	1.5%	3.53	2.79	+1.3
2023	27	MIX MLE	2 levels	49	1	64	268	73	20	4	2%	1.3	23.6%	6.9%	16.7%	1.5%	3.53	2.79	+1.3
2023	27	MIX RAW	2 levels	49	1	64	268	73	20	4	2%	1.3	27.2%	7.5%	19.8%	1.5%	3.53	2.57	+1.5
2024	28	MIX MLE	2 levels	44	0	49	201	62	20	4	0%	1.1	28.4%	9.4%	19.0%	2.0%	4.62	2.98	+0.9
2024	28	MIX MLE	2 levels	44	0	49	201	62	20	4	0%	1.1	28.4%	9.4%	19.0%	2.0%	4.62	2.98	+0.9
2024	28	MIX RAW	2 levels	44	0	49	201	62	20	4	0%	1.1	30.8%	10.0%	20.9%	2.0%	4.62	2.85	+1.0
2025	29	MLB MLE	Seattle Mariners	73	0	79	313	82	25	9	0%	1.1	26.2%	8.0%	18.2%	2.9%	2.52	3.52	+1.0
2025	29	MLB MLE	Seattle Mariners	73	0	79	313	82	25	9	0%	1.1	26.2%	8.0%	18.2%	2.9%	2.52	3.52	+1.0
2025	29	MLB RAW	Seattle Mariners	73	0	79	313	82	25	9	0%	1.1	26.2%	8.0%	18.2%	2.9%	2.52	3.46	+1.0
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			190	0	204	841	208	64	29	0%	1.1	24.7%	7.6%	17.1%	3.4%	3.44	3.85	+1.7
▸ 2026 season
YTD	30	MLB MLE	Seattle Mariners	68	0	62	276	64	20	12	0%	0.9	23.2%	7.2%	15.9%	4.5%	4.04	4.51	+0.0
YTD	30	MLB MLE	Seattle Mariners	68	0	62	276	64	20	12	0%	0.9	23.2%	7.2%	15.9%	4.5%	4.04	4.51	+0.0
▸ 2026 season — so far · projected rest · full
2026	30	MLB RAW	SEA	68	0	62	276	64	20	12	0%	0.9	23.2%	7.2%	15.9%	4.3%	4.04	4.45	+0.1
SO FAR	30	MLB RAW	SEA	68	0	62	276	64	20	12	0%	0.9	23.2%	7.2%	15.9%	4.3%	4.04	4.45	+0.1
ROS	30	MLB MLE	SEA	5	0	6	24	6	2	1	0%	1.1	24.0%	7.5%	16.5%	3.1%	3.47	3.71	+0.1
ROS	30	MLB CTX	SEA	6	0	6	25	6	2	1	0%	1.0	24.0%	7.5%	16.5%	3.1%	3.47	3.71	+0.1
2026 TOT	30	MLB MLE	SEA	—	—	68	300	70	22	13	—	—	23.3%	7.3%	16.0%	4.2%	4.00	4.44	+0.1
FULL	30	MLB A+C	SEA	—	—	68	287	70	22	13	—	—	24.3%	7.6%	16.7%	4.4%	4.00	4.45	+0.1
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	SEA	60	0	63	265	62	21	10	0%	1.0	23.4%	7.9%	15.5%	3.6%	4.31	4.49	+0.0
2028	32	MLB MLE	SEA	55	0	58	245	55	20	10	0%	1.1	22.6%	8.3%	14.3%	3.9%	4.57	4.75	-0.1
2027	31	MLB CTX	SEA	57	0	60	253	59	20	9	0%	1.1	23.4%	7.9%	15.5%	3.6%	4.31	4.49	+0.0
2028	32	MLB CTX	SEA	52	0	55	232	53	19	9	0%	1.1	22.6%	8.3%	14.3%	3.9%	4.57	4.75	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		305	0	325	1350	325	105	48	0%	1.1	24.1%	7.8%	16.3%	3.5%	3.79	4.00	+2.1
/ 200 IP	—	RAW		188	0	200	832	200	65	30	0%	1.1	24.1%	7.8%	16.3%	3.5%	3.79	4.00	+1.3
Career	—	MLE		390	27	606	2518	551	204	52	7%	1.6	21.9%	8.1%	13.8%	2.1%	3.17	3.42	+1.7
/ 200 IP	—	MLE		129	9	200	831	182	67	17	7%	1.6	21.9%	8.1%	13.8%	2.1%	3.17	3.42	+1.0

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
Eduard Bazardo (OGILVIE)	—	—	3.93	25.1%	7.8%	2.9%	—	4.61	23.0%	15.0%	121	+0.68	—	—	—
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	83
Ross Ohlendorf R 2015 · 3.30 FIP	32	SU	3.30	23.7%	7.2%	2.3%	.342	4.93	23.4%	12.7%	66	+1.63	3.30	122	81
Joakim Soria R 2015 · 3.70 FIP	31	SU	3.70	23.5%	6.6%	3.2%	.258	2.91	26.6%	18.9%	183	-0.79	2.01	380	80
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	80
Ryan Tepera R 2018 · 3.90 FIP	30	SU	3.90	25.9%	8.7%	3.4%	.282	3.20	28.4%	19.9%	104	-0.70	2.35	445	79
Jumbo Diaz R 2015 · 3.16 FIP	31	SU	3.16	25.2%	6.0%	2.6%	.286	3.65	21.9%	12.2%	152	+0.49	2.80	284	78
Ryan Cook R 2018 · 3.96 FIP	31	SU	3.96	25.1%	10.8%	2.9%	.280	—	—	—	—	—	3.96	102	78
David Hernandez R 2015 · 4.40 FIP	30	SU	4.40	22.9%	7.6%	4.1%	.287	3.17	24.9%	18.4%	192	-1.23	2.60	268	78
Jhan Mariñez R 2018 · 4.09 FIP	29	SU	4.09	21.2%	7.9%	3.2%	.331	—	—	—	—	—	3.16	253	77
Junichi Tazawa R 2016 · 4.14 FIP	30	SU	4.14	26.0%	6.2%	4.4%	.288	4.74	17.7%	9.1%	118	+0.60	2.94	227	77
Daniel Hudson R 2017 · 4.07 FIP	30	SU	4.07	24.4%	11.8%	2.8%	.301	4.01	24.1%	15.2%	140	-0.06	1.68	468	77
Drew Storen R 2017 · 3.83 FIP	29	SU	3.83	19.5%	7.3%	2.6%	.289	4.31	19.4%	8.4%	10	+0.48	2.36	172	76
Matt Bush R 2016 · 2.87 FIP	30	SU	2.87	24.7%	6.0%	2.0%	.232	3.94	22.2%	12.7%	75	+1.07	2.87	249	76
Blake Wood R 2016 · 3.76 FIP	30	SU	3.76	24.5%	10.6%	2.5%	.307	3.44	25.3%	16.0%	74	-0.32	2.92	210	76
Rob Wooten R 2015 · 4.86 FIP	30	SU	4.86	19.3%	5.5%	4.9%	.299	3.87	17.7%	14.4%	111	-0.99	3.19	191	76
Gregory Infante R 2017 · 2.97 FIP	30	SU	2.97	22.8%	8.2%	1.4%	.251	4.07	22.0%	17.4%	50	+1.10	2.97	230	75
Kevin Jepsen R 2015 · 3.47 FIP	31	SU	3.47	20.7%	9.1%	1.8%	.241	5.85	16.9%	7.2%	90	+2.38	3.47	160	75
Shane Greene R 2019 · 3.50 FIP	30	SU	3.50	25.4%	6.3%	3.2%	.232	4.26	20.5%	9.9%	86	+0.76	2.86	484	75
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	75
Alexi Ogando R 2015 · 5.11 FIP	31	SU	5.11	19.1%	9.4%	4.4%	.253	3.95	17.2%	8.0%	67	-1.16	3.79	132	75

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	0.9	63	23.8%	8.0%	1.33	4.17
Noé Ramirez ('22)	1.3	52	24.8%	9.0%	1.33	4.19
Eli Morgan ('24)	1.3	66	23.8%	6.4%	1.46	3.97
Mike Mayers ('23)	1.2	47	24.3%	7.8%	1.50	4.47
Adbert Alzolay ('23)	1.1	70	26.1%	7.0%	1.32	3.84
Colin Poche ('24)	1.0	52	27.0%	9.2%	1.34	3.63
Jarlín García ('22)	1.5	61	19.6%	7.8%	1.33	3.79