Brady Singer

P Cincinnati Reds

Age 30 RHP 6'5" / 215 lbs MLB peak 0.7 · 2027

Overview

MLBSP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR
2024	27	MLBKC	32	32	180	3.71	3.70	22.3%	7.1%	3.7
2025	28	MLBCIN	32	32	170	4.03	3.70	22.8%	8.4%	3.5
2026	29	MLBCIN	31	31	157	5.85	5.33	17.4%	8.6%	0.1
2027PROJ	30	MLBCIN	19	19	115	4.72	4.85	18.7%	8.4%	0.7
2028PROJ	31	MLBCIN	14	14	82	4.94	5.08	17.9%	8.7%	0.3
2029PROJ	32	MLBCIN	10	10	58	5.18	5.34	17.1%	9.1%	0.0

Last 3 seasons WAR 7.3 · Next 3 projected WAR 1.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

K%17

FB Velo10

xwOBA vs10

Form13.73 ERA (proj 4.72) · K 12.3% (proj 18.7%) · BB 14.9% (proj 8.4%) ▼▼ last 60d · 20 IP through Oct 27

CompsTom Koehler (age 30) · Chase Anderson (age 30) · Miguel González (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 132123vR 115

ERA4.72

FIP4.85

K%18.7%

BB%8.4%

K-BB%10.3%

Proj IP115

Value2027 · WAR

Runs saved vs league avg · 115 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p1090.7

Whiff%

p4023.9%

p1717.4%

xwOBA vs

p100.368

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)
2019	22	MIX MLE	2 levels	26	26	148	613	138	39	9	100%	5.7	17.9%	7.1%	10.8%	2.0%	2.85	3.57	—
2019	22	MIX RAW	2 levels	26	26	148	613	138	39	9	100%	5.7	22.5%	6.4%	16.2%	1.5%	2.85	2.82	—
2020	23	MLB MLE	Kansas City Royals	12	12	64	263	61	23	8	100%	5.4	23.2%	8.7%	14.4%	3.3%	4.06	4.05	+1.0
2020	23	MLB RAW	Kansas City Royals	12	12	64	263	61	23	8	100%	5.4	23.2%	8.7%	14.4%	3.0%	4.06	3.89	+1.2
2021	24	MIX MLE	2 levels	29	29	133	609	133	53	15	100%	4.6	22.4%	8.9%	13.5%	2.6%	5.21	3.75	+2.6
2021	24	MIX RAW	2 levels	29	29	133	609	133	53	15	100%	4.6	21.8%	8.7%	13.1%	2.5%	5.21	3.76	+2.6
2022	25	MIX MLE	2 levels	30	27	167	674	161	39	21	90%	5.6	23.7%	5.8%	17.9%	3.4%	3.23	3.69	+3.4
2022	25	MIX RAW	2 levels	30	27	167	674	161	39	21	90%	5.6	23.9%	5.8%	18.1%	3.1%	3.23	3.51	+3.9
2023	26	MLB MLE	Kansas City Royals	29	29	160	702	133	49	20	100%	5.5	18.9%	7.0%	12.0%	3.1%	5.52	4.07	+2.5
2023	26	MLB RAW	Kansas City Royals	29	29	160	702	133	49	20	100%	5.5	18.9%	7.0%	12.0%	2.8%	5.52	3.98	+2.7
2024	27	MLB MLE	Kansas City Royals	32	32	180	762	170	54	22	100%	5.6	22.3%	7.1%	15.2%	3.1%	3.71	3.83	+3.4
2024	27	MLB MLE	Kansas City Royals	32	32	180	762	170	54	22	100%	5.6	22.3%	7.1%	15.2%	3.1%	3.71	3.83	+3.4
2024	27	MLB RAW	Kansas City Royals	32	32	180	762	170	54	22	100%	5.6	22.3%	7.1%	15.2%	2.9%	3.71	3.70	+3.7
2025	28	MLB MLE	Cincinnati Reds	32	32	170	716	163	60	19	100%	5.3	22.8%	8.4%	14.4%	2.5%	4.03	3.59	+3.7
2025	28	MLB MLE	Cincinnati Reds	32	32	170	716	163	60	19	100%	5.3	22.8%	8.4%	14.4%	2.5%	4.03	3.59	+3.7
2025	28	MLB RAW	Cincinnati Reds	32	32	170	716	163	60	19	100%	5.3	22.8%	8.4%	14.4%	2.7%	4.03	3.70	+3.5
2026	29	MLB MLE	Cincinnati Reds	31	31	157	725	126	62	32	100%	5.1	17.4%	8.6%	8.8%	4.1%	5.85	4.96	+0.8
2026	29	MLB MLE	Cincinnati Reds	31	31	157	725	126	62	32	100%	5.1	17.4%	8.6%	8.8%	4.1%	5.85	4.96	+0.8
2026	29	MLB RAW	Cincinnati Reds	31	31	157	725	126	62	32	100%	5.1	17.4%	8.6%	8.8%	4.4%	5.85	5.33	+0.1
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			190	187	1012	4375	934	335	133	98%	5.3	21.3%	7.7%	13.7%	3.0%	4.48	3.96	+17.4
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	30	MLB	CIN	19	19	115	486	91	41	17	100%	6.1	18.7%	8.4%	10.3%	3.4%	4.72	4.85	+0.7
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	31	MLB MLE	CIN	14	14	82	345	62	30	13	100%	5.8	17.9%	8.7%	9.2%	3.7%	4.94	5.08	+0.3
2029	32	MLB MLE	CIN	10	10	58	244	42	22	10	100%	5.8	17.1%	9.1%	8.0%	3.9%	5.18	5.34	+0.0
2028	31	MLB CTX	CIN	14	14	82	346	62	30	13	100%	5.9	17.9%	8.7%	9.2%	3.7%	4.94	5.08	+0.3
2029	32	MLB CTX	CIN	10	10	58	245	42	22	10	100%	5.8	17.1%	9.1%	8.0%	3.9%	5.18	5.34	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		213	210	1152	4964	1038	387	155	99%	5.4	20.9%	7.8%	13.1%	3.1%	4.55	4.04	+18.6
/ 200 IP	—	RAW		37	37	200	862	180	67	27	99%	5.4	20.9%	7.8%	13.1%	3.1%	4.55	4.04	+3.2
Career	—	MLE		221	218	1179	5064	1058	385	152	99%	5.3	20.9%	7.6%	13.3%	3.0%	4.30	3.94	+17.7
/ 200 IP	—	MLE		38	37	200	859	180	65	26	99%	5.3	20.9%	7.6%	13.3%	3.0%	4.30	3.94	+3.1

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.

2022 AAAOmaha Storm Chasers · 14 IPFIP 5.41 → 6.04 (+0.63)K% 20.8% → 18.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.75%	—	×0.880	18.26%
BB% (unintentional) /BF	7.55%	—	×1.050	7.92%
HR / BF /BF	5.66%	÷0.984	×1.100	6.33%

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 97).

Result: FIP 5.41 → 6.04, 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).

2021 AAAOmaha Storm Chasers · 5 IPFIP 5.30 → 5.59 (+0.29)K% 8.7% → 7.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	8.70%	—	×0.880	7.65%
BB% (unintentional) /BF	4.35%	—	×1.050	4.57%
HR / BF /BF	4.35%	÷1.027	×1.100	4.66%

Result: FIP 5.30 → 5.59, 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 AANorthwest Arkansas Naturals · 91 IPFIP 3.23 → 4.05 (+0.82)K% 22.1% → 17.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.08%	—	×0.810	17.88%
BB% (unintentional) /BF	6.75%	—	×1.100	7.43%
HR / BF /BF	2.08%	÷0.901	×1.200	2.77%

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 80).

Result: FIP 3.23 → 4.05, 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+Wilmington Blue Rocks · 58 IPFIP 2.10 → 2.76 (+0.66)K% 23.2% → 17.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.25%	—	×0.770	17.90%
BB% (unintentional) /BF	5.70%	—	×1.150	6.56%
HR / BF /BF	0.44%	÷0.884	×1.250	0.62%

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 77).

Result: FIP 2.10 → 2.76, 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
Brady Singer (OGILVIE)	—	—	—	—	—	3.4%	—	5.19	17.6%	8.7%	140	+0.34	—	—	—
Tom Koehler R 2016 · 4.38 FIP	30	SP	4.38	19.0%	9.8%	3.0%	.291	4.66	22.4%	13.4%	110	+0.28	3.76	822	77
Chase Anderson R 2018 · 4.98 FIP	30	SP	4.98	19.9%	8.9%	4.4%	.235	4.93	20.1%	11.9%	253	-0.05	3.30	1,260	73
Miguel González R 2014 · 4.49 FIP	30	SP	4.49	16.5%	7.5%	3.4%	.268	4.26	16.6%	9.5%	457	-0.23	3.72	905	70
Tanner Roark R 2017 · 3.88 FIP	30	SP	3.88	21.4%	7.6%	3.0%	.294	4.48	20.3%	13.2%	393	+0.60	2.40	1,194	69
Rolando Arrojo R 2000 · 4.47 FIP	32	SP	4.47	16.1%	8.0%	3.1%	.291	3.68	16.4%	9.2%	185	-0.79	3.50	700	67
Jeremy Guthrie R 2009 · 5.09 FIP	30	SP	5.09	12.6%	6.8%	4.0%	.282	4.41	13.7%	7.5%	599	-0.68	4.08	1,834	67
Masahiro Tanaka R 2019 · 4.01 FIP	30	SP	4.01	19.6%	5.3%	3.5%	.292	4.08	22.3%	18.2%	48	+0.07	2.82	1,054	66
Roberto Hernandez R 2011 · 4.32 FIP	30	SP	4.32	13.1%	6.8%	2.6%	.284	4.48	15.4%	8.5%	330	+0.16	3.63	1,435	64
Kyle Gibson R 2018 · 3.97 FIP	30	SP	3.97	21.7%	9.3%	2.8%	.282	3.91	21.2%	12.9%	409	-0.06	3.56	1,920	63
Rodrigo Lopez R 2006 · 4.67 FIP	30	SP-	4.67	16.1%	6.7%	3.8%	.325	4.30	13.2%	7.9%	109	-0.37	4.06	1,344	63
Orlando Hernandez R 2000 · 4.68 FIP	30	SP	4.68	17.2%	6.0%	4.2%	.255	4.38	18.6%	11.3%	241	-0.30	3.35	1,315	62
Ramon Ortiz R 2003 · 4.99 FIP	30	SP	4.99	11.5%	7.7%	3.4%	.288	4.88	13.0%	6.8%	490	-0.11	4.32	1,525	61
Matt Shoemaker R 2017 · 4.88 FIP	30	SP	4.88	21.2%	8.6%	4.5%	.271	4.29	23.5%	15.5%	88	-0.59	3.12	728	61
Todd Ritchie R 2002 · 4.66 FIP	30	SP	4.66	12.4%	8.0%	2.9%	.331	4.78	11.5%	3.9%	28	+0.12	3.03	828	59
Lance Lynn R 2017 · 4.68 FIP	30	SP	4.68	19.7%	9.4%	3.7%	.237	3.25	25.9%	17.8%	449	-1.43	2.85	2,006	59
Kris Benson R 2005 · 4.56 FIP	30	SP	4.56	12.9%	6.0%	3.3%	.256	5.38	11.3%	4.1%	183	+0.82	3.53	1,244	58
Robert Person R 2000 · 3.80 FIP	30	SP	3.80	22.1%	12.7%	1.8%	.278	4.75	19.5%	9.1%	308	+0.95	3.41	885	57
Cory Lidle R 2002 · 3.67 FIP	30	SP	3.67	13.9%	4.5%	2.1%	.275	4.13	14.1%	8.3%	589	+0.46	3.48	1,318	57
Paul Wilson R 2003 · 4.61 FIP	30	SP	4.61	12.7%	6.2%	3.3%	.292	4.72	14.4%	7.2%	230	+0.11	2.59	942	56
Mike Fiers R 2015 · 3.86 FIP	30	SP	3.86	23.7%	7.8%	3.2%	.277	4.73	19.9%	13.3%	494	+0.87	2.83	1,140	55

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 927 starter careers (497 from 1990-2025 + 430 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	6.3	127	20.7%	7.9%	1.22	4.57
Chris Capuano ('16)	7.1	119	19.5%	7.5%	1.23	4.38
Larry McWilliams ('78-'90, 10 WAR*)	7.8	130	19.0%*	8.1%*	1.24*	4.56*
Lynn McGlothen ('72-'82, 13 WAR*)	7.5	150	21.2%*	8.7%*	1.26*	4.50*
Frank Pastore ('79-'86, 6 WAR*)	4.9	123	18.1%*	7.2%*	1.17*	4.88*
Derek Holland ('21)	7.3	113	19.7%	8.4%	1.35	4.62
Mike Minor ('22)	7.0	128	21.6%	7.0%	1.30	4.25