Brent Suter

P Atlanta Braves

Age 37 LHP 6'4" / 213 lbs MLB peak 0.1 · 2027

Overview

MLBRP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	34	MIX2 levels	50	3	70	3.07	3.92	18.8%	4.2%	0.5	K 18.5% · BB 4.4% · FIP 3.98
2025	35	MLBCIN	48	3	68	4.52	4.40	18.2%	5.8%	0.1
2026	36	MLBATL	54	4	91	3.36	3.43	20.7%	6.1%	1.2
2027PROJ	37	MLBATL	50	0	53	4.02	4.38	17.5%	6.5%	0.1
2028PROJ	38	MLBATL	21	0	22	4.50	4.81	16.4%	7.2%	-0.1
2029PROJ	39	MLBATL	9	0	9	4.95	5.25	15.2%	7.9%	-0.1

Last 3 seasons WAR 1.9 · Next 3 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

xwOBA vs56

K%40

FB Velo10

Form1.72 ERA (proj 4.02) · K 25.8% (proj 17.5%) · BB 6.5% (proj 6.5%) ▲▲ last 60d · 16 IP through Oct 27

CompsHeriberto Ruelas (age 35) · Brian Shouse (age 37) · Hisanori Takahashi (age 37)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 95103vR 111

ERA4.02

FIP4.38

K%17.5%

BB%6.5%

K-BB%11.1%

Proj IP53

Value2027 · WAR

Runs saved vs league avg · 53 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p1087.8

Whiff%

p3823.6%

p4020.7%

xwOBA vs

p560.306

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	25	MIX MLE	2 levels	26	17	118	478	83	38	6	65%	4.6	14.3%	8.7%	5.7%	1.5%	2.36	3.81	—
2015	25	MIX RAW	2 levels	26	17	118	478	83	38	6	65%	4.6	17.4%	7.9%	9.4%	1.3%	2.36	3.32	—
2016	26	MIX MLE	2 levels	40	17	132	544	90	19	8	42%	3.3	14.9%	3.6%	11.3%	1.6%	3.47	3.16	+2.2
2016	26	MIX RAW	2 levels	40	17	132	544	90	19	8	42%	3.3	16.5%	3.5%	13.1%	1.5%	3.47	2.96	+2.6
2017	27	MIX MLE	3 levels	33	23	121	506	103	28	13	70%	3.7	19.7%	5.7%	13.9%	2.7%	3.63	3.66	+2.5
2017	27	MIX RAW	3 levels	33	23	121	506	103	28	13	70%	3.7	20.4%	5.5%	14.8%	2.6%	3.63	3.49	+2.8
2018	28	MLB MLE	Milwaukee Brewers	20	18	101	424	84	17	18	90%	5.1	19.8%	4.0%	15.8%	4.0%	4.44	4.15	+1.5
2018	28	MLB RAW	Milwaukee Brewers	20	18	101	424	84	17	18	90%	5.1	19.8%	4.0%	15.8%	4.2%	4.44	4.25	+1.4
2019	29	MIX MLE	4 levels	17	4	35	124	40	4	1	24%	2.1	23.1%	1.5%	21.5%	1.5%	0.26	2.15	+1.0
2019	29	MIX RAW	4 levels	17	4	35	124	40	4	1	24%	2.1	32.3%	3.2%	29.0%	0.8%	0.26	1.53	+1.3
2020	30	MLB MLE	Milwaukee Brewers	16	4	32	129	38	5	4	25%	2.0	29.5%	3.9%	25.6%	3.0%	3.13	2.72	+0.7
2020	30	MLB RAW	Milwaukee Brewers	16	4	32	129	38	5	4	25%	2.0	29.5%	3.9%	25.6%	3.1%	3.13	2.82	+0.7
2021	31	MLB MLE	Milwaukee Brewers	61	1	73	313	69	21	9	2%	1.2	22.0%	6.7%	15.3%	2.7%	3.07	3.59	+0.8
2021	31	MLB RAW	Milwaukee Brewers	61	1	73	313	69	21	9	2%	1.2	22.0%	6.7%	15.3%	2.9%	3.07	3.67	+0.8
2022	32	MLB MLE	Milwaukee Brewers	54	0	67	272	53	22	9	0%	1.2	19.5%	8.1%	11.4%	3.2%	3.78	4.21	+0.3
2022	32	MLB RAW	Milwaukee Brewers	54	0	67	272	53	22	9	0%	1.2	19.5%	8.1%	11.4%	3.3%	3.78	4.25	+0.2
2023	33	MIX MLE	2 levels	58	2	70	295	56	25	3	3%	1.2	18.8%	8.6%	10.3%	0.9%	3.33	3.09	+1.2
2023	33	MIX RAW	2 levels	58	2	70	295	56	25	3	3%	1.2	19.0%	8.5%	10.5%	1.0%	3.33	3.13	+1.2
2024	34	MIX MLE	2 levels	50	3	70	288	54	12	10	6%	1.4	18.5%	4.4%	14.1%	3.4%	3.07	3.98	+0.5
2024	34	MIX MLE	2 levels	50	3	70	288	54	12	10	6%	1.4	18.5%	4.4%	14.1%	3.4%	3.07	3.98	+0.5
2024	34	MIX RAW	2 levels	50	3	70	288	54	12	10	6%	1.4	18.8%	4.2%	14.6%	3.5%	3.07	3.92	+0.5
2025	35	MLB MLE	Cincinnati Reds	48	3	68	291	53	17	11	6%	1.4	18.2%	5.8%	12.4%	3.5%	4.52	4.22	+0.3
2025	35	MLB MLE	Cincinnati Reds	48	3	68	291	53	17	11	6%	1.4	18.2%	5.8%	12.4%	3.5%	4.52	4.22	+0.3
2025	35	MLB RAW	Cincinnati Reds	48	3	68	291	53	17	11	6%	1.4	18.2%	5.8%	12.4%	3.8%	4.52	4.40	+0.1
2026	36	MLB MLE	Atlanta Braves	54	4	91	376	78	23	9	7%	1.7	20.7%	6.1%	14.6%	2.4%	3.36	3.44	+1.2
2026	36	MLB MLE	Atlanta Braves	54	4	91	376	78	23	9	7%	1.7	20.7%	6.1%	14.6%	2.4%	3.36	3.44	+1.2
2026	36	MLB RAW	Atlanta Braves	54	4	91	376	78	23	9	7%	1.7	20.7%	6.1%	14.6%	2.4%	3.36	3.43	+1.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			402	51	688	2864	574	168	85	13%	1.7	20.0%	5.9%	14.2%	3.0%	3.54	3.77	+6.4
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	37	MLB	ATL	50	0	53	224	39	14	6	0%	1.1	17.5%	6.5%	11.1%	2.8%	4.02	4.38	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	38	MLB MLE	ATL	21	0	22	94	15	7	3	0%	1.1	16.4%	7.2%	9.2%	3.3%	4.50	4.81	-0.1
2029	39	MLB MLE	ATL	8	0	9	37	6	3	1	0%	1.1	15.2%	7.9%	7.4%	3.7%	4.95	5.25	-0.1
2030	40	MLB MLE	ATL	3	0	3	14	2	1	1	0%	1.1	14.1%	8.6%	5.5%	4.2%	5.39	5.68	-0.0
2028	38	MLB CTX	ATL	21	0	22	93	15	7	3	0%	1.0	16.4%	7.2%	9.2%	3.3%	4.50	4.81	-0.1
2029	39	MLB CTX	ATL	9	0	9	38	6	3	1	0%	1.0	15.2%	7.9%	7.4%	3.7%	4.95	5.25	-0.1
2030	40	MLB CTX	ATL	3	0	3	13	2	1	1	0%	1.0	14.1%	8.6%	5.5%	4.2%	5.39	5.68	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		435	51	723	3009	597	179	90	12%	1.7	19.8%	5.9%	13.9%	3.0%	3.60	3.82	+6.3
/ 200 IP	—	RAW		120	14	200	833	165	50	25	12%	1.7	19.8%	5.9%	13.9%	3.0%	3.60	3.82	+1.7
Career	—	MLE		477	96	979	4040	762	235	101	20%	2.1	18.9%	5.8%	13.0%	2.5%	3.35	3.62	+6.2
/ 200 IP	—	MLE		97	20	200	825	156	48	21	20%	2.1	18.9%	5.8%	13.0%	2.5%	3.35	3.62	+1.7

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 AAASan Antonio Missions · 12 IPFIP 0.15 → 0.61 (+0.45)K% 41.9% → 36.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	41.86%	—	×0.880	36.84%
BB% (unintentional) /BF	4.65%	—	×1.050	4.88%
HR / BF /BF	0.00%	÷0.977	×1.100	0.00%

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 95).

Result: FIP 0.15 → 0.61, 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 AAAColorado Springs Sky Sox · 37 IPFIP 3.46 → 4.06 (+0.60)K% 24.7% → 21.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.68%	—	×0.880	21.71%
BB% (unintentional) /BF	5.19%	—	×1.050	5.45%
HR / BF /BF	3.25%	÷0.933	×1.100	3.83%

Result: FIP 3.46 → 4.06, 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 AAAColorado Springs Sky Sox · 111 IPFIP 2.70 → 2.97 (+0.27)K% 16.6% → 14.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.56%	—	×0.880	14.57%
BB% (unintentional) /BF	3.09%	—	×1.050	3.25%
HR / BF /BF	1.10%	÷0.973	×1.100	1.25%

Result: FIP 2.70 → 2.97, 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).

2015 AABiloxi Shuckers · 83 IPFIP 3.02 → 3.48 (+0.46)K% 19.0% → 15.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.99%	—	×0.810	15.38%
BB% (unintentional) /BF	9.50%	—	×1.100	10.45%
HR / BF /BF	0.59%	÷1.084	×1.200	0.66%

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 117).

Result: FIP 3.02 → 3.48, 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).

2015 AAAColorado Springs Sky Sox · 35 IPFIP 4.06 → 4.60 (+0.54)K% 13.5% → 11.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	13.48%	—	×0.880	11.86%
BB% (unintentional) /BF	4.26%	—	×1.050	4.47%
HR / BF /BF	2.84%	÷0.886	×1.100	3.52%

Result: FIP 4.06 → 4.60, 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).

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
Brent Suter (OGILVIE)	—	—	—	—	—	2.8%	—	4.81	16.4%	9.2%	22	+0.43	—	—	—
Heriberto Ruelas L 2017 · 3.42 FIP	35	SU	3.42	17.2%	6.7%	1.7%	.294	—	—	—	—	—	2.95	117	53
Brian Shouse L 2006 · 4.19 FIP	37	SU	4.19	13.2%	7.5%	2.3%	.269	3.37	15.3%	11.0%	127	-0.82	2.32	339	53
Hisanori Takahashi L 2012 · 4.04 FIP	37	SU	4.04	24.5%	6.1%	4.1%	.295	—	—	—	—	—	3.50	240	52
Scott Atchison R 2013 · 3.80 FIP	37	SU	3.80	14.4%	6.2%	2.1%	.273	3.60	16.7%	12.9%	92	-0.20	2.52	340	33
Keiichi Yabu R 2005 · 4.05 FIP	36	SU	4.05	16.8%	8.8%	2.3%	.307	3.48	15.9%	6.6%	68	-0.57	3.48	126	28
Juan Sandoval R 2017 · 3.42 FIP	36	SU	3.42	16.7%	7.2%	1.5%	.298	5.41	15.9%	8.7%	57	+1.99	3.24	225	27
Chris Nichting R 2002 · 4.67 FIP	36	SU	4.67	16.6%	3.3%	4.6%	.289	—	—	—	—	—	4.11	103	25
Hector Navarro R 2017 · 3.53 FIP	37	SU	3.53	11.5%	5.6%	1.3%	.283	—	—	—	—	—	2.30	126	24
Pete Walker R 2006 · 4.45 FIP	37	SU	4.45	19.6%	8.0%	3.6%	.337	—	—	—	—	—	4.45	327	24
Salvador Valdez R 2019 · 4.30 FIP	36	SW	4.30	17.1%	8.2%	2.9%	.405	—	—	—	—	—	3.60	326	24
Rudy Gonzalez R 2017 · 4.72 FIP	36	SU	4.72	15.8%	7.1%	3.8%	.354	—	—	—	—	—	3.31	119	23
Brian Sweeney R 2010 · 4.63 FIP	36	SU	4.63	9.5%	3.4%	3.5%	.226	—	—	—	—	—	3.03	108	22
Francisco Del Rosario R 2017 · 4.15 FIP	36	SU	4.15	16.4%	10.0%	2.1%	.267	6.35	11.9%	-0.6%	77	+2.20	3.93	194	22
Zack Segovia R 2019 · 4.55 FIP	36	SU	4.55	17.6%	13.6%	2.2%	.353	—	—	—	—	—	3.33	144	21
Tony Pena Jr. R 2017 · 3.43 FIP	36	SU	3.43	10.9%	4.3%	1.3%	.312	—	—	—	—	—	2.80	128	19
Jonathan Castellanos R 2019 · 5.24 FIP	37	SW	5.24	11.0%	9.0%	3.5%	.348	—	—	—	—	—	3.40	394	19
Matt Bush R 2023 · 3.79 FIP	37	SU	3.79	26.2%	8.7%	3.3%	.225	—	—	—	—	—	2.87	249	18
Yoshihisa Hirano R 2020 · 5.02 FIP	36	SU	5.02	17.5%	12.7%	3.3%	.381	—	—	—	—	—	3.45	132	15
Logan Duran R 2019 · 3.66 FIP	37	SP-	3.66	15.5%	8.9%	1.4%	.427	—	—	—	—	—	3.42	187	14

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	3.9	55	19.7%	6.3%	1.15	3.63
Donnie Moore ('75-'88, 7 WAR*)	3.3	60	20.7%*	6.6%*	1.00*	3.83*
Rod Beck ('04)	3.8	59	20.3%	6.0%	1.14	3.30
Glen Perkins ('17)	3.1	69	19.1%	6.0%	1.07	3.88
Craig Stammen ('22)	4.4	80	20.1%	6.4%	0.97	3.66
Tony Castillo ('88-'98, 4 WAR*)	2.6	59	18.5%*	7.3%*	0.98*	3.76*
Donn Pall ('88-'98, 3 WAR*)	2.5	63	17.1%*	6.2%*	1.20*	3.86*