Kyle Barraclough

P Round Rock Express

Age 37 RHP 6'3" / 229 lbs AAA peak 0.1 · 2027

Overview

AAARP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	32	MIX2 levels	49	0	54	3.00	3.01	30.4%	13.9%	1.0	K 27.8% · BB 15.2% · FIP 3.64
2023	33	MIX2 levels	17	13	82	4.52	5.27	18.9%	14.6%	0.1	K 17.5% · BB 13.3% · FIP 5.08
2024	34	AAATEX	31	4	55	3.74	3.23	27.1%	13.8%	—	K 23.3% · BB 12.4% · FIP 3.49
2025	35	No MLB games played
2026	36	No MLB games played
2027PROJ	37	MLBTEX	6	0	6	4.37	4.39	23.8%	10.2%	0.0
2028PROJMLE	38	MLBTEX	—	—	0	4.64	4.82	22.6%	10.9%	—
2029PROJMLE	39	MLBTEX	—	—	0	5.01	5.26	21.4%	11.6%	—

Last 3 seasons WAR 1.1 · Next 3 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2021

K%90

xwOBA vs40

FB Velo30

CompsKeiichi Yabu (age 36) · Juan Sandoval (age 36) · Matt Bush (age 37)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 117108vR 100

ERA4.37

FIP4.39

K%23.8%

BB%10.2%

K-BB%13.6%

Proj IP59

Value2027 · WAR

Runs saved vs league avg · 59 IP

Grades · Statcast · Contract

Scouting Grades

STUF6060

CTRL3030

CMD4545

K†5555

Statcast Percentiles

FB Velo

p3093.1

Whiff%

p8530.8%

p9030.0%

xwOBA vs

p400.323

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	3 levels	63	0	68	288	90	46	1	0%	1.1	27.0%	17.2%	9.8%	0.4%	2.25	3.20	+1.1
2015	25	MIX RAW	3 levels	63	0	68	288	90	46	1	0%	1.1	31.2%	16.0%	15.3%	0.3%	2.25	2.67	+1.5
2016	26	MIX MLE	2 levels	78	0	79	327	122	44	1	0%	1.0	36.9%	14.1%	22.9%	0.3%	2.75	1.95	+2.5
2016	26	MIX RAW	2 levels	78	0	79	327	122	44	1	0%	1.0	37.3%	13.5%	23.9%	0.3%	2.75	1.84	+2.6
2017	27	MIX MLE	3 levels	68	1	68	295	79	36	5	1%	1.0	26.6%	12.2%	14.3%	1.8%	2.91	3.42	+0.9
2017	27	MIX RAW	3 levels	68	1	68	295	79	36	5	1%	1.0	26.8%	12.2%	14.6%	1.7%	2.91	3.32	+1.0
2018	28	MLB MLE	Miami Marlins	61	0	56	245	60	31	8	0%	0.9	24.5%	12.7%	11.8%	3.4%	4.20	4.52	+0.0
2018	28	MLB RAW	Miami Marlins	61	0	56	245	60	31	8	0%	0.9	24.5%	12.7%	11.8%	3.3%	4.20	4.48	+0.0
2019	29	MIX MLE	5 levels	60	1	52	241	69	30	11	2%	0.9	24.4%	11.6%	12.8%	5.9%	5.54	5.76	-0.7
2019	29	MIX RAW	5 levels	60	1	52	241	69	30	11	2%	0.9	28.6%	12.4%	16.2%	4.6%	5.54	4.93	-0.2
2021	31	MIX MLE	2 levels	42	0	52	215	80	29	10	0%	1.2	33.7%	14.0%	19.8%	4.6%	3.44	4.54	+0.0
2021	31	MIX RAW	2 levels	42	0	52	215	80	29	10	0%	1.2	37.2%	13.5%	23.7%	4.7%	3.44	4.19	+0.2
2022	32	MIX MLE	2 levels	49	0	54	230	70	32	3	0%	1.1	27.8%	15.2%	12.6%	1.7%	3.00	3.64	+0.6
2022	32	MIX RAW	2 levels	49	0	54	230	70	32	3	0%	1.1	30.4%	13.9%	16.5%	1.3%	3.00	3.01	+1.0
2023	33	MIX MLE	2 levels	17	13	82	350	66	51	12	76%	4.8	17.5%	13.3%	4.2%	3.2%	4.52	5.08	+0.3
2023	33	MIX RAW	2 levels	17	13	82	350	66	51	12	76%	4.8	18.9%	14.6%	4.3%	3.4%	4.52	5.27	+0.1
2024	34	AAA MLE	Round Rock Express	31	4	55	247	67	34	3	13%	1.8	23.3%	12.4%	10.9%	1.4%	3.74	3.49	—
2024	34	AAA MLE	Round Rock Express	31	4	55	247	67	34	3	13%	1.8	23.3%	12.4%	10.9%	1.4%	3.74	3.49	—
2024	34	AAA RAW	Round Rock Express	31	4	55	247	67	34	3	13%	1.8	27.1%	13.8%	13.4%	1.2%	3.74	3.23	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			291	0	282	1242	350	162	31	0%	1.0	28.2%	13.0%	15.1%	2.5%	3.86	3.77	+2.6
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	37	MLB	TEX	6	0	6	25	6	3	1	0%	1.0	23.8%	10.2%	13.6%	3.0%	4.37	4.39	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	38	MLB MLE	TEX	37	0	38	163	37	18	6	0%	1.0	22.6%	10.9%	11.7%	3.4%	4.64	4.82	-0.1
2029	39	MLB MLE	TEX	26	0	27	115	25	13	4	0%	1.0	21.4%	11.6%	9.9%	3.9%	5.01	5.26	-0.2
2028	38	MLB CTX	TEX	—	—	0	—	—	—	—	—	—	22.6%	10.9%	11.7%	3.4%	4.64	4.82	—
2029	39	MLB CTX	TEX	—	—	0	—	—	—	—	—	—	21.4%	11.6%	9.9%	3.9%	5.01	5.26	—
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		291	0	282	1242	350	162	31	0%	1.0	28.2%	13.0%	15.1%	2.5%	3.86	3.74	+2.7
/ 200 IP	—	RAW		206	0	200	881	248	115	22	0%	1.0	28.2%	13.0%	15.1%	2.5%	3.86	3.74	+1.9
Career	—	MLE		469	19	566	2438	651	333	59	4%	1.2	26.7%	13.6%	13.1%	2.4%	3.55	3.90	+2.3
/ 200 IP	—	MLE		166	7	200	862	230	118	21	4%	1.2	26.7%	13.6%	13.1%	2.4%	3.55	3.90	+1.3

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.

2024 AAARound Rock Express · 55 IPFIP 3.22 → 3.49 (+0.27)K% 27.1% → 23.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.13%	—	×0.860	23.33%
BB% (unintentional) /BF	13.77%	—	×0.900	12.39%
HR / BF /BF	1.21%	÷0.928	×1.100	1.44%

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 86).

Result: FIP 3.22 → 3.49, 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 AAAWorcester Red Sox · 74 IPFIP 4.88 → 5.08 (+0.20)K% 20.4% → 17.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.39%	—	×0.860	17.54%
BB% (unintentional) /BF	14.80%	—	×0.900	13.32%
HR / BF /BF	2.96%	÷1.008	×1.100	3.23%

Result: FIP 4.88 → 5.08, 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 AAASalt Lake Bees · 45 IPFIP 3.12 → 3.64 (+0.52)K% 31.6% → 27.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.61%	—	×0.880	27.81%
BB% (unintentional) /BF	14.51%	—	×1.050	15.23%
HR / BF /BF	1.55%	÷0.978	×1.100	1.75%

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 96).

Result: FIP 3.12 → 3.64, 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 AAASt. Paul Saints · 39 IPFIP 3.56 → 4.01 (+0.45)K% 40.0% → 35.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	40.00%	—	×0.880	35.20%
BB% (unintentional) /BF	13.55%	—	×1.050	14.23%
HR / BF /BF	3.87%	÷1.121	×1.100	3.80%

Result: FIP 3.56 → 4.01, 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).

2019 AAHarrisburg Senators · 10 IPFIP 1.62 → 2.39 (+0.78)K% 37.8% → 30.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	37.84%	—	×0.810	30.65%
BB% (unintentional) /BF	13.51%	—	×1.100	14.86%
HR / BF /BF	0.00%	÷1.111	×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 122).

Result: FIP 1.62 → 2.39, 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 AAASacramento River Cats · 6 IPFIP 3.10 → 3.56 (+0.46)K% 32.1% → 28.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.14%	—	×0.880	28.29%
BB% (unintentional) /BF	21.43%	—	×1.050	22.50%
HR / BF /BF	0.00%	÷1.027	×1.100	0.00%

Result: FIP 3.10 → 3.56, 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).

2016 AAANew Orleans Zephyrs · 6 IPFIP 0.08 → 0.55 (+0.46)K% 42.9% → 37.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	42.86%	—	×0.880	37.71%
BB% (unintentional) /BF	4.76%	—	×1.050	5.00%
HR / BF /BF	0.00%	÷0.919	×1.100	0.00%

Result: FIP 0.08 → 0.55, 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 AAJacksonville Suns · 29 IPFIP 2.73 → 3.41 (+0.68)K% 29.1% → 23.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.13%	—	×0.810	23.60%
BB% (unintentional) /BF	16.54%	—	×1.100	18.19%
HR / BF /BF	0.00%	÷0.973	×1.200	0.00%

Result: FIP 2.73 → 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).

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
Kyle Barraclough (OGILVIE)	—	—	4.39	23.8%	10.2%	3.0%	—	5.00	22.1%	11.0%	66	+0.61	—	—	—
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	77
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	74
Matt Bush R 2023 · 3.79 FIP	37	SU	3.79	26.2%	8.7%	3.3%	.225	—	—	—	—	—	2.87	249	71
Zack Segovia R 2019 · 4.55 FIP	36	SU	4.55	17.6%	13.6%	2.2%	.353	—	—	—	—	—	3.33	144	69
Rudy Gonzalez R 2017 · 4.72 FIP	36	SU	4.72	15.8%	7.1%	3.8%	.354	—	—	—	—	—	3.31	119	68
Salvador Valdez R 2019 · 4.30 FIP	36	SW	4.30	17.1%	8.2%	2.9%	.405	—	—	—	—	—	3.60	326	64
Pete Walker R 2006 · 4.45 FIP	37	SU	4.45	19.6%	8.0%	3.6%	.337	—	—	—	—	—	4.45	327	64
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	62
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	61
Chris Nichting R 2002 · 4.67 FIP	36	SU	4.67	16.6%	3.3%	4.6%	.289	—	—	—	—	—	4.11	103	61
Hector Navarro R 2017 · 3.53 FIP	37	SU	3.53	11.5%	5.6%	1.3%	.283	—	—	—	—	—	2.30	126	57
Brian Sweeney R 2010 · 4.63 FIP	36	SU	4.63	9.5%	3.4%	3.5%	.226	—	—	—	—	—	3.03	108	49
Tony Pena Jr. R 2017 · 3.43 FIP	36	SU	3.43	10.9%	4.3%	1.3%	.312	—	—	—	—	—	2.80	128	49
Yoshihisa Hirano R 2020 · 5.02 FIP	36	SU	5.02	17.5%	12.7%	3.3%	.381	—	—	—	—	—	3.45	132	48
Heriberto Ruelas L 2017 · 3.42 FIP	35	SU	3.42	17.2%	6.7%	1.7%	.294	—	—	—	—	—	2.95	117	38
Jonathan Castellanos R 2019 · 5.24 FIP	37	SW	5.24	11.0%	9.0%	3.5%	.348	—	—	—	—	—	3.40	394	37
Hisanori Takahashi L 2012 · 4.04 FIP	37	SU	4.04	24.5%	6.1%	4.1%	.295	—	—	—	—	—	3.50	240	34
Logan Duran R 2019 · 3.66 FIP	37	SP-	3.66	15.5%	8.9%	1.4%	.427	—	—	—	—	—	3.42	187	34
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	31

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	2.0	51	26.6%	13.0%	1.06	4.09
Rex Brothers ('21)	1.6	54	27.6%	13.5%	0.98	4.08
Antonio Bastardo ('17)	2.0	56	28.0%	11.4%	1.01	4.01
Jose Veras ('14)	2.1	60	24.0%	12.1%	0.96	3.91
Rod Scurry ('80-'88, 5 WAR*)	2.3	58	29.6%*	13.6%*	0.91*	3.67*
Mac Scarce ('72-'78, 1 WAR*)	1.0	52	25.9%*	12.4%*	1.27*	4.17*
Alberto Reyes ('95-'08, 5 WAR*)	2.1	54	27.1%*	10.2%*	1.18*	3.66*