Cody Bradford

P Texas Rangers

Age 29 LHP 6'4" / 197 lbs MLB peak 0.4 · 2027

Overview

MLBSP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	25	MIX2 levels	34	22	130	4.35	3.66	21.5%	5.2%	1.9	K 19.8% · BB 4.9% · FIP 3.74
2024	26	MIX3 levels	17	15	82	3.29	3.31	23.2%	4.0%	1.6	K 22.7% · BB 4.2% · FIP 3.37
2026	28	MIX3 levels	15	13	56	3.86	4.24	15.8%	5.0%	0.4	K 11.4% · BB 5.2% · FIP 4.38
2027PROJ	29	MLBTEX	10	10	58	4.30	4.67	12.9%	4.3%	0.2
2028PROJ95% MLB	30	MLBTEX	9	9	52	4.64	4.87	12.2%	4.6%	0.0
2029PROJ95% MLB	31	MLBTEX	8	8	48	4.92	5.11	11.4%	5.0%	-0.1

Last 3 seasons WAR 4.0 · 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

xwOBA vs21

FB Velo10

Whiff%10

K%10

CompsKwang Hyun Kim (age 32) · Roy Merritt (age 30) · Andrew Albers (age 29)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 108116vR 124

ERA4.30

FIP4.67

K%12.9%

BB%4.3%

K-BB%8.5%

Proj IP58

Value2027 · WAR

Runs saved vs league avg · 58 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF4545

CTRL7070

CMD6060

K†3030

Statcast Percentiles

FB Velo

p1088.6

Whiff%

p1018.1%

p1011.4%

xwOBA vs

p210.346

FB+9.2 (52%)

CH+1.6 (27%)

CU (13%)

SL-1.9 (7%)

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 + 2027 so far)
2021	23	MIX MLE	2 levels	20	20	96	408	128	21	10	100%	4.8	24.6%	5.9%	18.7%	3.4%	4.11	3.63	—
2021	23	MIX RAW	2 levels	20	20	96	408	128	21	10	100%	4.8	31.4%	5.1%	26.2%	2.5%	4.11	2.45	—
2022	24	AA MLE	Frisco RoughRiders	26	26	119	503	124	33	18	100%	4.6	20.0%	7.2%	12.8%	4.7%	5.01	4.91	—
2022	24	AA RAW	Frisco RoughRiders	26	26	119	503	124	33	18	100%	4.6	24.7%	6.6%	18.1%	3.6%	5.01	3.82	—
2023	25	MIX MLE	2 levels	34	22	130	539	116	28	17	65%	3.8	19.8%	4.9%	14.9%	3.1%	4.35	3.74	+1.8
2023	25	MIX RAW	2 levels	34	22	130	539	116	28	17	65%	3.8	21.5%	5.2%	16.3%	3.2%	4.35	3.66	+1.9
2024	26	MIX MLE	3 levels	17	15	82	327	76	13	10	88%	4.8	22.7%	4.2%	18.5%	3.0%	3.29	3.37	+1.5
2024	26	MIX MLE	3 levels	17	15	82	327	76	13	10	88%	4.8	22.7%	4.2%	18.5%	3.0%	3.29	3.37	+1.5
2024	26	MIX RAW	3 levels	17	15	82	327	76	13	10	88%	4.8	23.2%	4.0%	19.3%	3.1%	3.29	3.31	+1.6
2026	28	MIX MLE	3 levels	15	13	56	241	38	12	8	87%	3.7	11.4%	5.2%	6.2%	2.9%	3.86	4.38	+0.3
2026	28	MIX MLE	3 levels	15	13	56	241	38	12	8	87%	3.7	11.4%	5.2%	6.2%	2.9%	3.86	4.38	+0.3
2026	28	MIX RAW	3 levels	15	13	56	241	38	12	8	87%	3.7	15.8%	5.0%	10.8%	3.3%	3.86	4.24	+0.4
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			44	29	176	735	143	35	27	66%	4.0	19.5%	4.8%	14.7%	3.7%	4.29	4.06	+1.7
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	TEX	10	10	58	245	32	11	8	100%	5.8	12.9%	4.3%	8.5%	3.1%	4.30	4.67	+0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	TEX	9	9	55	231	28	11	8	100%	6.1	12.2%	4.6%	7.5%	3.3%	4.64	4.87	+0.0
2029	31	MLB MLE	TEX	8	8	51	215	25	11	8	100%	6.4	11.4%	5.0%	6.4%	3.6%	4.92	5.11	-0.1
2028	30	MLB CTX	TEX	9	9	52	220	27	10	7	100%	5.8	12.2%	4.6%	7.5%	3.3%	4.64	4.87	+0.0
2029	31	MLB CTX	TEX	8	8	48	203	23	10	7	100%	6.0	11.4%	5.0%	6.4%	3.6%	4.92	5.11	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		61	46	277	1159	193	55	42	75%	4.5	16.7%	4.8%	11.9%	3.6%	4.46	4.27	+2.1
/ 200 IP	—	RAW		44	33	200	838	139	40	30	75%	4.6	16.7%	4.8%	11.9%	3.6%	4.46	4.27	+1.5
Career	—	MLE		112	96	483	2018	409	113	71	86%	4.3	20.3%	5.6%	14.7%	3.5%	4.23	4.03	+1.6
/ 200 IP	—	MLE		46	40	200	835	169	47	29	86%	4.3	20.3%	5.6%	14.7%	3.5%	4.23	4.03	+1.1

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
Cody Bradford (OGILVIE)	—	—	4.67	12.9%	4.3%	3.1%	—	4.99	11.8%	7.0%	106	+0.32	—	—	—
Kwang Hyun Kim L 2020 · 3.76 FIP	32	SP	3.76	15.6%	6.5%	2.1%	.214	4.21	17.7%	9.5%	107	+0.45	3.76	146	76
Roy Merritt L 2016 · 3.93 FIP	30	SP-	3.93	13.3%	5.9%	2.2%	.293	3.95	16.2%	10.4%	116	+0.02	3.93	129	70
Andrew Albers L 2015 · 4.13 FIP	29	SP-	4.13	12.4%	7.2%	2.1%	.354	3.51	17.9%	12.6%	303	-0.62	2.98	568	67
John Bale L 2003 · 4.12 FIP	29	SP	4.12	19.0%	5.1%	3.6%	.305	—	—	—	—	—	2.49	168	67
Alejandro Soto L 2015 · 4.41 FIP	29	SP	4.41	12.8%	7.0%	2.7%	.367	4.07	14.6%	9.1%	128	-0.34	3.96	280	65
Edgar Osuna L 2017 · 5.05 FIP	29	SP	5.05	10.6%	8.2%	3.3%	.345	5.09	10.0%	2.8%	83	+0.04	5.05	175	65
Matt Lujan L 2017 · 4.69 FIP	28	SP-	4.69	14.3%	6.4%	3.6%	.348	—	—	—	—	—	4.06	227	65
Eric Stults L 2009 · 3.95 FIP	29	SP	3.95	14.8%	10.8%	1.4%	.294	4.00	13.3%	6.9%	111	+0.05	3.50	773	64
Arturo Lopez L 2015 · 4.80 FIP	32	SP	4.80	13.7%	6.2%	3.8%	.301	4.80	10.9%	4.2%	217	+0.00	4.34	445	63
John Lamb L 2018 · 4.64 FIP	28	SP	4.64	22.5%	7.2%	4.6%	.319	—	—	—	—	—	3.38	390	62
Tomas Solis L 2015 · 4.20 FIP	32	SP	4.20	15.0%	6.2%	2.9%	.264	5.09	12.0%	3.7%	159	+0.89	4.20	327	61
Jack Snodgrass L 2016 · 5.01 FIP	28	SP-	5.01	15.7%	10.1%	3.6%	.305	—	—	—	—	—	4.66	118	61
Danny Wirchansky L 2024 · 4.47 FIP	27	SP-	4.47	16.2%	7.4%	3.3%	.246	5.88	13.0%	0.2%	68	+1.41	4.47	179	61
Nick Greenwood L 2016 · 3.71 FIP	28	SP-	3.71	11.2%	2.9%	2.2%	.288	—	—	—	—	—	3.71	277	60
Brandon Mann L 2016 · 4.72 FIP	32	SP	4.72	19.4%	7.9%	4.1%	.320	3.97	19.0%	7.6%	128	-0.75	3.59	190	60
Darin Gorski L 2016 · 4.50 FIP	28	SP	4.50	15.0%	9.8%	2.6%	.299	—	—	—	—	—	4.50	206	59
Duane Below L 2015 · 3.63 FIP	29	SW	3.63	12.5%	3.7%	2.0%	.266	4.57	14.7%	9.6%	140	+0.94	3.63	265	59
Adam Wilk L 2017 · 5.53 FIP	29	SP-	5.53	14.5%	6.1%	5.2%	.338	4.77	13.5%	5.2%	165	-0.76	3.29	480	59
Carlos Teller L 2016 · 4.86 FIP	29	SP-	4.86	14.3%	10.7%	2.9%	.297	4.74	12.6%	1.1%	148	-0.12	3.75	333	59
Alejandro Astorga L 2016 · 3.72 FIP	29	SP	3.72	15.0%	9.1%	1.4%	.290	4.01	14.4%	6.2%	116	+0.29	3.72	311	59

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	57	15.9%	4.7%	1.36	4.44
Austin Pruitt ('24)	1.6	63	16.6%	5.6%	1.31	4.54
Donn Pall ('88-'98, 3 WAR*)	2.5	63	17.1%*	6.2%*	1.20*	3.86*
Julio Mateo ('07)	1.6	64	16.2%	6.4%	1.27	3.68
Taylor Buchholz ('11)	1.6	78	17.7%	6.6%	1.19	4.28
Max Leon ('73-'78, 2 WAR*)	1.6	62	18.3%*	7.1%*	1.26*	3.96*
Mike Jeffcoat ('83-'94, 1 WAR*)	2.5	83	15.2%*	6.7%*	1.16*	4.65*