Cody Bradford

P Texas Rangers

Age 29 LHP 6'4" / 197 lbs MLB peak 0.2 · 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%	2.7	K 19.8% · BB 4.9% · FIP 3.74
2024	26	MIX3 levels	17	15	82	3.29	3.31	23.2%	4.0%	2.1	K 22.7% · BB 4.2% · FIP 3.37
2026	28	MIX3 levels	15	13	56	3.86	4.24	15.8%	5.0%	0.8	K 11.4% · BB 5.2% · FIP 4.38
2027PROJ	29	MLBTEX	5	5	31	4.30	4.67	12.9%	4.3%	0.3
2028PROJ95% MLB	30	MLBTEX	5	5	32	4.64	4.87	12.2%	4.6%	0.2
2029PROJ95% MLB	31	MLBTEX	4	4	25	4.92	5.11	11.4%	5.0%	0.1

Last 3 seasons WAR 5.6 · Next 3 projected WAR 0.5Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

xwOBA vs21

FB Velo10

K%10

Form5.60 ERA (proj 4.30) · K 11.4% (proj 12.9%) · BB 5.1% (proj 4.3%) · last 60d · 18 IP through Oct 27

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 IP31

Value2027 · WAR

Runs saved vs league avg · 31 IP

Grades · Statcast · Contract

Scouting Grades

STUF4545

CTRL7070

CMD6060

K†3030

Statcast Percentiles

FB Velo

p1088.6

Whiff%

p1018.1%

p1011.4%

xwOBA vs

p210.346

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)
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	+2.6
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	+2.7
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	+2.0
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	+2.0
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	+2.1
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	+0.7
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	+0.7
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	+0.8
▸ 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	+2.8
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	TEX	5	5	31	131	17	6	4	100%	6.2	12.9%	4.3%	8.5%	3.1%	4.30	4.67	+0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	TEX	6	6	33	140	17	6	5	100%	5.5	12.2%	4.6%	7.5%	3.3%	4.64	4.87	+0.2
2029	31	MLB MLE	TEX	4	4	26	111	13	6	4	100%	6.6	11.4%	5.0%	6.4%	3.6%	4.92	5.11	+0.1
2028	30	MLB CTX	TEX	5	5	32	135	16	6	5	100%	6.4	12.2%	4.6%	7.5%	3.3%	4.64	4.87	+0.2
2029	31	MLB CTX	TEX	4	4	25	106	12	5	4	100%	6.2	11.4%	5.0%	6.4%	3.6%	4.92	5.11	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		53	38	233	974	171	46	35	72%	4.4	17.6%	4.8%	12.8%	3.6%	4.40	4.20	+3.3
/ 200 IP	—	RAW		46	33	200	836	147	39	30	72%	4.4	17.6%	4.8%	12.8%	3.6%	4.40	4.20	+2.8
Career	—	MLE		112	96	483	2018	409	113	71	86%	4.3	20.3%	5.6%	14.7%	3.5%	4.23	4.03	+3.1
/ 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	+2.6

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.

2026 AAARound Rock Express · 6 IPFIP 5.21 → 6.01 (+0.80)K% 29.2% → 25.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.17%	—	×0.860	25.08%
BB% (unintentional) /BF	0.00%	—	×0.900	0.00%
HR / BF /BF	8.33%	÷1.000	×1.100	9.17%

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 100).

Result: FIP 5.21 → 6.01, 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).

2026 AAFrisco RoughRiders · 6 IPFIP 0.99 → 1.70 (+0.71)K% 37.5% → 30.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	37.50%	—	×0.810	30.38%
BB% (unintentional) /BF	8.33%	—	×1.100	9.17%
HR / BF /BF	0.00%	÷1.000	×1.200	0.00%

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 100).

Result: FIP 0.99 → 1.70, 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).

2023 AAARound Rock Express · 74 IPFIP 3.04 → 3.30 (+0.25)K% 21.3% → 18.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.31%	—	×0.860	18.33%
BB% (unintentional) /BF	5.25%	—	×0.900	4.72%
HR / BF /BF	1.97%	÷1.035	×1.100	2.09%

Result: FIP 3.04 → 3.30, 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 AAFrisco RoughRiders · 119 IPFIP 3.81 → 4.91 (+1.09)K% 24.7% → 20.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.65%	—	×0.810	19.97%
BB% (unintentional) /BF	6.56%	—	×1.100	7.22%
HR / BF /BF	3.58%	÷0.915	×1.200	4.70%

Result: FIP 3.81 → 4.91, 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 A+Hickory Crawdads · 62 IPFIP 3.00 → 4.56 (+1.56)K% 33.2% → 25.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.21%	—	×0.770	25.57%
BB% (unintentional) /BF	6.49%	—	×1.150	7.46%
HR / BF /BF	3.44%	÷0.881	×1.250	4.87%

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 76).

Result: FIP 3.00 → 4.56, 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 AAFrisco RoughRiders · 35 IPFIP 1.45 → 1.97 (+0.51)K% 28.1% → 22.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.08%	—	×0.810	22.75%
BB% (unintentional) /BF	2.74%	—	×1.100	3.01%
HR / BF /BF	0.68%	÷1.114	×1.200	0.74%

Result: FIP 1.45 → 1.97, 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).

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%	—	4.98	11.8%	7.1%	60	+0.31	—	—	—
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: 2,161 pitcher careers (1,251 from 1990-2025 + 910 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	1.3	44	16.9%	4.7%	1.38	4.40
Austin Pruitt ('24)	1.6	63	16.6%	5.6%	1.31	4.54
Jim Willoughby ('71-'78, 4 WAR*)	2.8	79	16.0%*	6.2%*	1.42*	4.13*
Edward Mujica ('17)	2.8	69	19.1%	3.9%	1.30	3.92
Casey Fien ('17)	1.4	58	21.0%	5.1%	1.46	4.42
Tom Hausman ('75-'82, 1 WAR*)	2.2	74	14.3%*	6.5%*	1.22*	4.45*
Donn Pall ('88-'98, 3 WAR*)	2.5	63	17.1%*	6.2%*	1.20*	3.86*