Andrés Muñoz

P Seattle Mariners

Age 28 RHP 6'2" / 222 lbs MLB Svc 7.0 · Ctrl thru 2028 peak 0.9 · 2027

Overview

MLBRP40-MANExtFA 2028

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR
2024	25	MLBSEA	60	59	2.12	2.98	33.2%	9.9%	1.1
2025	26	MLBSEA	64	62	1.73	2.06	32.7%	9.8%	1.9
2026	27	MLBSEA	61	57	4.24	3.29	37.1%	10.0%	0.9
2027PROJ	28	MLBSEA	55	58	3.20	3.18	37.1%	9.7%	1.0
2028PROJ95% MLB	29	MLBSEA	50	53	3.24	3.30	36.5%	9.9%	0.8
2029PROJ95% MLB	30	MLBSEA	48	50	3.40	3.51	35.8%	10.2%	0.6

Last 3 seasons WAR 3.8 · Next 3 projected WAR 2.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2028Service7.465First FA2028

2027Ext$8M2028Ext$10M

Skills · percentileStatcast 2026

FB Velo90

K%90

xwOBA vs83

Form4.74 ERA (proj 3.20) · K 39.0% (proj 37.1%) · BB 10.4% (proj 9.7%) · last 90d · 19 IP through Oct 27

CompsRay Black (age 28) · Joel Hanrahan (age 28) · Ken Giles (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 9082vR 74

ERA3.20

FIP3.18

K%37.1%

BB%9.7%

K-BB%27.4%

Proj IP58

Value2027 · WAR

Runs saved vs league avg · 58 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$4M ctrl surplus

Grades · Statcast · Contract

Scouting Grades

STUF7575

CTRL3535

CMD6565

K†8080

Statcast Percentiles

FB Velo

p9099.8

Whiff%

p9039.6%

p9037.1%

xwOBA vs

p830.280

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status FA

MLB Debut 2019

Service 7.465 yrs.days

Team Control Through 2028

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext	$8M	+1.0	$8M	+$0.0M
2028	Ext	$10M	+0.8	$3M	-$6M
Totals		$18M		$11M	-$6M

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)
2016	17	ROK MLE	AZL Padres	16	1	20	93	26	16	1	6%	1.2	19.0%	21.5%	-2.5%	1.5%	5.49	5.04	—
2016	17	ROK RAW	AZL Padres	16	1	20	93	26	16	1	6%	1.2	28.0%	17.2%	10.8%	1.1%	5.49	3.56	—
2017	18	A MLE	Fort Wayne TinCaps	3	0	2	11	3	2	0	0%	0.8	27.3%	18.2%	9.1%	0.0%	3.86	3.10	—
2017	18	A RAW	Fort Wayne TinCaps	3	0	2	11	3	2	0	0%	0.8	27.3%	18.2%	9.1%	0.0%	3.86	3.10	—
2018	19	AA MLE	San Antonio Missions	20	0	19	74	19	11	0	0%	0.9	20.8%	16.4%	4.4%	0.0%	0.95	3.41	—
2018	19	AA RAW	San Antonio Missions	20	0	19	74	19	11	0	0%	0.9	25.7%	14.9%	10.8%	0.0%	0.95	2.84	—
2019	20	MIX MLE	3 levels	57	0	59	252	88	29	6	0%	1.0	31.2%	12.1%	19.1%	2.5%	3.37	3.37	+0.8
2019	20	MIX RAW	3 levels	57	0	59	252	88	29	6	0%	1.0	34.9%	11.5%	23.4%	2.4%	3.37	2.91	+1.1
2021	22	MIX MLE	3 levels	5	2	4	17	8	3	0	40%	0.9	47.1%	17.6%	29.4%	0.0%	4.15	1.36	+0.2
2021	22	MIX RAW	3 levels	5	2	4	17	8	3	0	40%	0.9	47.1%	17.6%	29.4%	0.0%	4.15	1.48	+0.2
2022	23	MLB MLE	Seattle Mariners	64	0	65	248	96	12	5	0%	1.0	38.7%	4.8%	33.9%	2.1%	2.49	1.58	+2.3
2022	23	MLB RAW	Seattle Mariners	64	0	65	248	96	12	5	0%	1.0	38.7%	4.8%	33.9%	2.0%	2.49	1.70	+2.2
2023	24	MIX MLE	2 levels	55	0	52	220	70	20	2	0%	0.9	31.8%	9.0%	22.7%	1.0%	2.77	2.09	+1.5
2023	24	MIX RAW	2 levels	55	0	52	220	70	20	2	0%	0.9	31.8%	9.1%	22.7%	0.9%	2.77	2.06	+1.6
2024	25	MLB MLE	Seattle Mariners	60	0	59	232	77	23	6	0%	1.0	33.2%	9.9%	23.3%	2.7%	2.12	3.01	+1.1
2024	25	MLB MLE	Seattle Mariners	60	0	59	232	77	23	6	0%	1.0	33.2%	9.9%	23.3%	2.7%	2.12	3.01	+1.1
2024	25	MLB RAW	Seattle Mariners	60	0	59	232	77	23	6	0%	1.0	33.2%	9.9%	23.3%	2.6%	2.12	2.98	+1.1
2025	26	MLB MLE	Seattle Mariners	64	0	62	254	83	25	2	0%	1.0	32.7%	9.8%	22.8%	0.8%	1.73	2.03	+1.9
2025	26	MLB MLE	Seattle Mariners	64	0	62	254	83	25	2	0%	1.0	32.7%	9.8%	22.8%	0.8%	1.73	2.03	+1.9
2025	26	MLB RAW	Seattle Mariners	64	0	62	254	83	25	2	0%	1.0	32.7%	9.8%	22.8%	0.8%	1.73	2.06	+1.9
2026	27	MLB MLE	Seattle Mariners	61	0	57	240	89	24	9	0%	0.9	37.1%	10.0%	27.1%	3.8%	4.24	3.35	+0.8
2026	27	MLB MLE	Seattle Mariners	61	0	57	240	89	24	9	0%	0.9	37.1%	10.0%	27.1%	3.8%	4.24	3.35	+0.8
2026	27	MLB RAW	Seattle Mariners	61	0	57	240	89	24	9	0%	0.9	37.1%	10.0%	27.1%	3.8%	4.24	3.29	+0.9
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			324	0	317	1286	443	116	26	0%	1.0	34.4%	9.0%	25.4%	2.0%	2.76	2.47	+7.9
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	SEA	55	0	58	245	91	24	7	0%	1.1	37.1%	9.7%	27.4%	2.9%	3.20	3.18	+1.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	SEA	53	0	56	236	86	23	7	0%	1.1	36.5%	9.9%	26.6%	3.1%	3.28	3.34	+0.8
2029	30	MLB MLE	SEA	50	0	52	222	79	23	7	0%	1.1	35.8%	10.2%	25.6%	3.3%	3.44	3.55	+0.6
2028	29	MLB CTX	SEA	50	0	53	224	82	22	7	0%	1.1	36.5%	9.9%	26.6%	3.0%	3.24	3.30	+0.8
2029	30	MLB CTX	SEA	48	0	50	211	76	22	7	0%	1.0	35.8%	10.2%	25.6%	3.2%	3.40	3.51	+0.6
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		422	0	420	1720	600	160	39	0%	1.0	34.9%	9.3%	25.6%	2.3%	2.89	2.59	+9.9
/ 200 IP	—	RAW		201	0	200	820	286	76	19	0%	1.0	34.9%	9.3%	25.6%	2.3%	2.89	2.59	+4.7
Career	—	MLE		405	3	400	1641	538	171	32	1%	1.0	32.8%	10.4%	22.3%	2.0%	2.84	2.74	+9.3
/ 200 IP	—	MLE		203	2	200	821	269	86	16	1%	1.0	32.8%	10.4%	22.3%	2.0%	2.84	2.74	+4.4

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.

2019 AAAEl Paso Chihuahuas · 19 IPFIP 3.73 → 4.42 (+0.68)K% 30.0% → 26.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.00%	—	×0.880	26.40%
BB% (unintentional) /BF	8.75%	—	×1.050	9.19%
HR / BF /BF	3.75%	÷0.950	×1.100	4.34%

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 90).

Result: FIP 3.73 → 4.42, 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 AAAmarillo Sod Poodles · 17 IPFIP 1.86 → 2.70 (+0.84)K% 45.3% → 36.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	45.33%	—	×0.810	36.72%
BB% (unintentional) /BF	14.67%	—	×1.100	16.13%
HR / BF /BF	1.33%	÷1.337	×1.200	1.20%

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 167).

Result: FIP 1.86 → 2.70, 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 AASan Antonio Missions · 19 IPFIP 2.81 → 3.41 (+0.60)K% 25.7% → 20.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.68%	—	×0.810	20.80%
BB% (unintentional) /BF	14.86%	—	×1.100	16.35%
HR / BF /BF	0.00%	÷0.824	×1.200	0.00%

Result: FIP 2.81 → 3.41, 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).

2016 ROKAZL Padres · 20 IPFIP 3.51 → 5.04 (+1.54)K% 28.0% → 19.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.96%	—	×0.680	19.01%
BB% (unintentional) /BF	17.20%	—	×1.250	21.51%
HR / BF /BF	1.08%	÷1.000	×1.400	1.51%

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 3.51 → 5.04, 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
Andrés Muñoz (OGILVIE)	—	—	3.18	37.1%	9.7%	2.9%	—	3.44	36.2%	26.1%	108	+0.26	—	—	—
Ray Black R 2018 · 2.95 FIP	28	SU	2.95	38.1%	9.5%	3.4%	.289	4.89	30.8%	17.6%	45	+1.94	2.95	150	73
Joel Hanrahan R 2010 · 2.56 FIP	28	SU	2.56	34.0%	8.8%	2.2%	.321	3.22	24.2%	14.9%	128	+0.66	2.08	397	70
Ken Giles R 2019 · 2.02 FIP	28	SU	2.02	39.9%	7.7%	2.4%	.298	—	—	—	—	—	0.92	414	70
Sergio Santos R 2011 · 2.53 FIP	28	SU	2.53	35.4%	9.2%	2.3%	.254	3.13	29.4%	21.4%	47	+0.60	1.36	178	67
AJ Ramos R 2015 · 2.89 FIP	28	SU	2.89	31.4%	9.4%	2.3%	.247	3.43	26.8%	14.0%	142	+0.54	2.55	410	67
Jake Cousins R 2022 · 3.15 FIP	28	SU	3.15	30.9%	11.9%	2.1%	.265	3.82	31.3%	19.4%	65	+0.67	1.11	160	66
Jose Valverde R 2006 · 3.04 FIP	28	SU	3.04	30.9%	8.5%	2.7%	.341	3.30	27.6%	19.7%	190	+0.26	2.21	752	66
Nate Jones R 2013 · 2.58 FIP	27	SU	2.58	28.3%	7.9%	1.6%	.327	3.03	31.0%	25.7%	90	+0.45	2.57	307	66
Brad Lidge R 2005 · 2.01 FIP	28	SU	2.01	35.4%	7.6%	1.7%	.329	2.96	30.9%	21.2%	211	+0.95	1.56	595	65
Frank Francisco R 2008 · 3.05 FIP	28	SU	3.05	31.4%	9.1%	2.6%	.267	3.29	26.5%	19.4%	153	+0.24	2.92	369	65
Steve Delabar R 2012 · 3.82 FIP	29	SU	3.82	33.6%	9.1%	4.4%	.234	3.44	26.9%	15.9%	139	-0.38	2.43	229	65
Cody Allen R 2017 · 3.04 FIP	28	SU	3.04	32.6%	7.4%	3.2%	.300	5.02	27.0%	14.6%	90	+1.98	1.58	464	65
Pedro Báez R 2016 · 3.63 FIP	28	SU	3.63	28.1%	7.5%	3.6%	.229	3.39	24.6%	15.8%	190	-0.24	2.29	356	65
John Brebbia R 2018 · 3.20 FIP	28	SU	3.20	30.0%	6.4%	3.3%	.317	3.09	29.3%	22.2%	106	-0.11	2.89	576	65
Ernesto Frieri R 2013 · 3.55 FIP	28	SU	3.55	33.6%	9.9%	3.7%	.286	5.63	23.6%	15.4%	65	+2.08	2.62	334	64
Austin Adams R 2019 · 2.12 FIP	28	SU	2.12	41.7%	10.4%	2.2%	.296	2.39	31.5%	17.8%	53	+0.27	1.79	392	63
Kiko Calero R 2003 · 3.54 FIP	28	SU	3.54	31.5%	11.1%	3.1%	.273	3.11	26.1%	18.9%	159	-0.43	2.27	298	63
Jon Edwards R 2015 · 3.40 FIP	27	SU	3.40	31.7%	13.1%	2.4%	.264	2.40	30.3%	22.6%	30	-1.00	2.40	132	63
Jason Adam R 2020 · 3.76 FIP	28	SU	3.76	36.2%	13.8%	3.6%	.259	2.85	31.9%	24.0%	128	-0.91	2.42	396	63
David Robertson R 2013 · 2.42 FIP	28	SU	2.42	29.4%	6.5%	1.8%	.282	2.64	33.2%	25.6%	190	+0.22	1.53	888	62

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	2.4	54	35.2%	10.0%	0.93	2.94
Cody Allen ('19)	2.3	58	30.5%	9.9%	1.07	3.14
David Robertson ('25)	4.5	64	31.9%	9.9%	0.82	2.93
Bryan Harvey ('87-'94, 12 WAR*)	1.9	64	37.8%*	8.9%*	0.94*	2.59*
Corey Knebel ('22)	1.5	51	31.7%	11.2%	1.00	3.26
Tom Henke ('82-'95, 25 WAR*)	3.9	66	35.9%*	7.7%*	0.93*	2.72*
Randy Myers ('85-'98, 16 WAR*)	4.4	74	29.4%*	10.4%*	0.92*	3.47*