Eduard Bazardo

P Seattle Mariners

Age 31 RHP 6'0" / 190 lbs MLB peak 0.1 · 2027

Overview

MLBRP40-MAN

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	28	MIX2 levels	44	49	4.62	2.85	30.8%	10.0%	1.0	K 28.8% · BB 9.4% · FIP 2.94
2025	29	MLBSEA	73	79	2.52	3.46	26.2%	8.0%	1.0
2026	30	MLBSEA	73	67	4.01	4.56	23.6%	7.7%	-0.0
2027PROJ	31	MLBSEA	54	57	4.10	4.41	23.5%	7.6%	0.1
2028PROJ95% MLB	32	MLBSEA	38	40	4.44	4.66	22.7%	8.0%	-0.1
2029PROJ95% MLB	33	MLBSEA	28	29	4.74	4.94	21.9%	8.4%	-0.1

Last 3 seasons WAR 2.0 · Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo62

K%58

xwOBA vs27

Form6.64 ERA (proj 4.10) · K 22.8% (proj 23.5%) · BB 10.9% (proj 7.6%) ▼ last 90d · 20 IP through Oct 27

CompsChris Hatcher (age 31) · Carlos Torres (age 31) · Fernando Rodriguez Jr. (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 119111vR 103

ERA4.10

FIP4.41

K%23.5%

BB%7.6%

K-BB%15.9%

Proj IP57

Value2027 · WAR

Runs saved vs league avg · 57 IP

Grades · Statcast · Contract

Scouting Grades

STUF4040

CTRL5050

CMD6060

K†5555

Statcast Percentiles

FB Velo

p6295.4

Whiff%

p2621.9%

p5823.6%

xwOBA vs

p270.339

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 the standard WAR scale.

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)
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	24.2%	6.9%	17.3%	1.5%	3.53	2.73	+1.4
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	28.8%	9.4%	19.4%	2.0%	4.62	2.94	+0.9
2024	28	MIX MLE	2 levels	44	0	49	201	62	20	4	0%	1.1	28.8%	9.4%	19.4%	2.0%	4.62	2.94	+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
2026	30	MLB MLE	Seattle Mariners	73	0	67	297	70	23	13	0%	0.9	23.6%	7.7%	15.8%	4.5%	4.01	4.55	-0.0
2026	30	MLB MLE	Seattle Mariners	73	0	67	297	70	23	13	0%	0.9	23.6%	7.7%	15.8%	4.5%	4.01	4.55	-0.0
2026	30	MLB RAW	Seattle Mariners	73	0	67	297	70	23	13	0%	0.9	23.6%	7.7%	15.8%	4.4%	4.01	4.56	-0.0
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			195	0	209	862	214	67	30	0%	1.1	24.8%	7.8%	17.1%	3.5%	3.44	3.88	+1.7
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	31	MLB	SEA	54	0	57	241	57	18	9	0%	1.1	23.5%	7.6%	15.9%	3.6%	4.10	4.41	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	32	MLB MLE	SEA	40	0	42	178	40	14	7	0%	1.1	22.7%	8.0%	14.7%	3.8%	4.44	4.66	-0.1
2029	33	MLB MLE	SEA	29	0	30	127	28	11	5	0%	1.0	21.9%	8.4%	13.4%	4.1%	4.74	4.94	-0.1
2028	32	MLB CTX	SEA	38	0	40	169	38	13	6	0%	1.1	22.7%	8.0%	14.7%	3.8%	4.44	4.66	-0.1
2029	33	MLB CTX	SEA	28	0	29	122	27	10	5	0%	1.0	21.9%	8.4%	13.4%	4.1%	4.74	4.94	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		260	0	278	1152	279	91	41	0%	1.1	24.2%	7.9%	16.3%	3.6%	3.72	4.02	+1.7
/ 200 IP	—	RAW		188	0	200	830	201	66	30	0%	1.1	24.2%	7.9%	16.3%	3.6%	3.72	4.02	+1.2
Career	—	MLE		395	27	611	2539	560	207	53	7%	1.5	22.0%	8.1%	13.9%	2.1%	3.17	3.42	+1.5
/ 200 IP	—	MLE		129	9	200	832	183	68	18	7%	1.5	22.0%	8.1%	13.9%	2.1%	3.17	3.42	+1.0

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2024 AAATacoma Rainiers · 21 IPFIP 3.15 → 3.32 (+0.18)K% 31.2% → 26.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.18%	—	×0.860	26.82%
BB% (unintentional) /BF	11.83%	—	×0.900	10.65%
HR / BF /BF	2.15%	÷1.142	×1.100	2.07%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 128).

Result: FIP 3.15 → 3.32, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 AAATacoma Rainiers · 48 IPFIP 2.22 → 2.43 (+0.21)K% 28.9% → 24.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.86%	—	×0.860	24.82%
BB% (unintentional) /BF	7.96%	—	×0.900	7.16%
HR / BF /BF	1.00%	÷1.157	×1.100	0.95%

Result: FIP 2.22 → 2.43, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2022 AAAWorcester Red Sox · 57 IPFIP 3.13 → 3.60 (+0.47)K% 23.5% → 20.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.53%	—	×0.880	20.71%
BB% (unintentional) /BF	7.45%	—	×1.050	7.82%
HR / BF /BF	1.96%	÷0.939	×1.100	2.30%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 88).

Result: FIP 3.13 → 3.60, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 AAAWorcester Red Sox · 11 IPFIP 5.32 → 5.11 (−0.21)K% 21.1% → 18.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.05%	—	×0.880	18.53%
BB% (unintentional) /BF	8.77%	—	×1.050	9.21%
HR / BF /BF	5.26%	÷1.318	×1.100	4.39%

Result: FIP 5.32 → 5.11, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2019 A+Salem Red Sox · 41 IPFIP 1.39 → 2.18 (+0.79)K% 32.5% → 25.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.52%	—	×0.770	25.04%
BB% (unintentional) /BF	5.52%	—	×1.150	6.35%
HR / BF /BF	0.61%	÷1.080	×1.250	0.71%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 116).

Result: FIP 1.39 → 2.18, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2019 AAPortland Sea Dogs · 32 IPFIP 2.94 → 3.70 (+0.75)K% 26.1% → 21.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.12%	—	×0.810	21.16%
BB% (unintentional) /BF	9.70%	—	×1.100	10.67%
HR / BF /BF	1.49%	÷0.953	×1.200	1.88%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 91).

Result: FIP 2.94 → 3.70, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2018 AGreenville Drive · 28 IPFIP 2.21 → 3.18 (+0.97)K% 24.6% → 18.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.56%	—	×0.740	18.18%
BB% (unintentional) /BF	1.75%	—	×1.180	2.07%
HR / BF /BF	1.75%	÷0.923	×1.300	2.47%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 85).

Result: FIP 2.21 → 3.18, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2017 ROKGCL Red Sox · 56 IPFIP 1.51 → 2.53 (+1.01)K% 29.3% → 19.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.26%	—	×0.680	19.90%
BB% (unintentional) /BF	6.99%	—	×1.250	8.73%
HR / BF /BF	0.00%	÷1.000	×1.400	0.00%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 1.51 → 2.53, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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)	—	—	4.41	23.5%	7.6%	3.6%	—	4.78	22.3%	14.2%	72	+0.37	—	—	—
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	2.51	246	80
Carlos Torres R 2014 · 3.66 FIP	31	SU	3.66	23.7%	8.4%	2.7%	.295	3.72	20.2%	12.4%	213	+0.06	2.89	604	76
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	335	76
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	76
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	76
Josh Fields R 2017 · 3.98 FIP	31	SU	3.98	26.9%	6.3%	4.3%	.216	5.01	20.5%	12.9%	66	+1.03	1.80	330	75
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	570	75
Guillermo Mota R 2004 · 3.39 FIP	31	SU	3.39	21.6%	7.9%	2.0%	.249	4.11	19.3%	11.6%	182	+0.72	2.68	857	74
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	74
Manny Acosta R 2012 · 4.49 FIP	31	SU	4.49	21.3%	11.1%	3.2%	.295	—	—	—	—	—	3.08	350	73
Mark Serrano R 2017 · 3.56 FIP	31	SU	3.56	21.9%	6.4%	2.7%	.240	5.25	20.2%	12.3%	42	+1.69	3.16	120	73
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	73
Frank Francisco R 2011 · 3.74 FIP	31	SU	3.74	24.3%	7.3%	3.2%	.296	3.77	23.9%	13.7%	42	+0.03	2.92	369	73
Brian Sanches R 2010 · 4.24 FIP	31	SU	4.24	21.3%	10.6%	2.9%	.217	4.35	19.6%	8.5%	62	+0.11	3.39	229	73
Jeff Fulchino R 2011 · 4.44 FIP	31	SU	4.44	20.4%	11.1%	3.0%	.302	—	—	—	—	—	3.36	178	73
Mike DeJean R 2002 · 3.80 FIP	31	SU	3.80	19.9%	9.5%	2.1%	.265	3.66	19.6%	10.5%	206	-0.14	2.82	622	73
Matt Herges R 2001 · 3.62 FIP	31	SU	3.62	17.5%	7.8%	1.8%	.281	3.73	17.0%	10.3%	209	+0.11	2.90	691	72
Gregory Infante R 2018 · 4.07 FIP	31	SU	4.07	22.0%	4.6%	4.1%	.291	—	—	—	—	—	2.97	230	72
Spencer Bivens R 2024 · 4.07 FIP	30	SU	4.07	18.0%	5.8%	3.2%	.265	3.88	18.2%	10.9%	157	-0.19	3.52	391	71
Alex Wilson R 2018 · 4.16 FIP	31	SU	4.16	17.6%	5.3%	3.4%	.232	5.06	19.4%	13.4%	62	+0.90	2.93	382	71

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 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	1.7	56	24.1%	8.1%	1.39	3.79
Shawn Tolleson ('16)	1.1	54	23.1%	8.3%	1.28	3.92
Blake Parker ('21)	1.7	58	26.7%	7.9%	1.30	3.47
Ryan Tepera ('23)	1.8	52	24.3%	8.8%	1.13	3.62
Buddy Schultz ('75-'79, 2 WAR*)	1.2	60	27.4%*	8.5%*	1.21*	4.14*
Joe Hoerner ('63-'77, 8 WAR*)	2.8	51	23.2%*	7.9%*	1.21*	3.52*
Julio Navarro ('62-'70, 1 WAR*)	1.1	53	21.7%*	7.8%*	1.55*	4.13*