Josh Staumont

P ACL Reds

Age 33 RHP 6'3" / 200 lbs ROK peak 0.2 · 2027

Overview

ROKRP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	29	MIX2 levels	25	1	24	4.50	2.81	29.5%	13.3%	0.5	K 27.0% · BB 14.6% · FIP 3.34
2024	30	MIX2 levels	35	0	36	4.25	3.35	22.7%	14.3%	0.5	K 21.2% · BB 13.8% · FIP 3.42
2026	32	MIX2 levels	8	2	7	1.29	1.24	35.5%	9.7%	—	K 35.5% · BB 9.7% · FIP 1.33
2027PROJ	33	MLBCIN	—	—	0	4.45	4.40	24.1%	11.1%	—
2028PROJMLE	34	MLBCIN	—	—	0	4.60	4.70	23.2%	11.6%	—
2029PROJMLE	35	MLBCIN	—	—	0	4.86	5.04	22.3%	12.1%	—

Last 3 seasons WAR 1.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2024

FB Velo45

xwOBA vs39

K%18

CompsTony Barnette (age 33) · D.J. Carrasco (age 33) · Huascar Brazobán (age 33)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 117109vR 101

ERA4.45

FIP4.40

K%24.1%

BB%11.1%

K-BB%13.0%

Proj IP145

Value2027 · WAR

Runs saved vs league avg · 145 IP

Grades · Statcast · Contract

Scouting Grades

STUF5555

CTRL2020

CMD4040

K†6060

Statcast Percentiles

FB Velo

p4594.2

Whiff%

p5425.9%

p1817.6%

xwOBA vs

p390.325

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	21	ROK MLE	Idaho Falls Chukars	18	4	40	172	58	32	0	22%	2.2	22.9%	23.3%	-0.3%	0.0%	2.48	4.11	—
2015	21	ROK RAW	Idaho Falls Chukars	18	4	40	172	58	32	0	22%	2.2	33.7%	18.6%	15.1%	0.0%	2.48	2.60	—
2016	22	MIX MLE	2 levels	29	26	123	580	167	103	5	90%	4.3	22.7%	20.1%	2.6%	1.1%	4.23	4.34	—
2016	22	MIX RAW	2 levels	29	26	123	580	167	103	5	90%	4.3	28.8%	17.8%	11.0%	0.9%	4.23	3.42	—
2017	23	MIX MLE	2 levels	26	25	125	572	138	97	16	96%	4.8	20.7%	18.1%	2.6%	3.2%	5.56	5.40	—
2017	23	MIX RAW	2 levels	26	25	125	572	138	97	16	96%	4.8	24.1%	17.0%	7.2%	2.8%	5.56	4.89	—
2018	24	AAA MLE	Omaha Storm Chasers	41	5	74	329	103	50	4	12%	1.8	27.6%	16.0%	11.6%	1.2%	3.51	3.46	—
2018	24	AAA RAW	Omaha Storm Chasers	41	5	74	329	103	50	4	12%	1.8	31.3%	15.2%	16.1%	1.2%	3.51	3.05	—
2019	25	MIX MLE	2 levels	48	12	71	309	89	45	8	25%	1.5	25.9%	15.1%	10.8%	2.8%	3.31	4.36	+0.2
2019	25	MIX RAW	2 levels	48	12	71	309	89	45	8	25%	1.5	28.8%	14.6%	14.2%	2.6%	3.31	3.96	+0.5
2020	26	MLB MLE	Kansas City Royals	26	0	26	112	37	16	2	0%	1.0	33.0%	14.3%	18.8%	1.9%	2.45	3.18	+0.4
2020	26	MLB RAW	Kansas City Royals	26	0	26	112	37	16	2	0%	1.0	33.0%	14.3%	18.8%	1.8%	2.45	3.10	+0.4
2021	27	MLB MLE	Kansas City Royals	64	0	66	264	72	26	6	0%	1.0	27.3%	9.8%	17.4%	2.5%	2.88	3.39	+0.9
2021	27	MLB RAW	Kansas City Royals	64	0	66	264	72	26	6	0%	1.0	27.3%	9.8%	17.4%	2.3%	2.88	3.28	+1.0
2022	28	MIX MLE	2 levels	44	0	40	184	47	30	3	0%	0.9	24.4%	16.5%	8.0%	1.8%	6.13	4.14	+0.2
2022	28	MIX RAW	2 levels	44	0	40	184	47	30	3	0%	0.9	25.5%	16.3%	9.2%	1.6%	6.13	3.98	+0.3
2023	29	MIX MLE	2 levels	25	1	24	105	31	14	1	4%	1.0	27.0%	14.6%	12.4%	1.2%	4.50	3.34	+0.3
2023	29	MIX RAW	2 levels	25	1	24	105	31	14	1	4%	1.0	29.5%	13.3%	16.2%	1.0%	4.50	2.81	+0.5
2024	30	MIX MLE	2 levels	35	0	36	154	35	22	1	0%	1.0	21.2%	13.8%	7.4%	0.7%	4.25	3.42	+0.5
2024	30	MIX MLE	2 levels	35	0	36	154	35	22	1	0%	1.0	21.2%	13.8%	7.4%	0.7%	4.25	3.42	+0.5
2024	30	MIX RAW	2 levels	35	0	36	154	35	22	1	0%	1.0	22.7%	14.3%	8.4%	0.6%	4.25	3.35	+0.5
2026	32	MIX MLE	2 levels	8	2	7	31	11	3	0	25%	0.9	35.5%	9.7%	25.8%	0.0%	1.29	1.33	—
2026	32	MIX MLE	2 levels	8	2	7	31	11	3	0	25%	0.9	35.5%	9.7%	25.8%	0.0%	1.29	1.33	—
2026	32	MIX RAW	2 levels	8	2	7	31	11	3	0	25%	0.9	35.5%	9.7%	25.8%	0.0%	1.29	1.24	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			194	1	193	831	209	107	16	1%	1.0	25.2%	12.9%	12.3%	1.9%	3.97	3.68	+2.0
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	33	MLB	CIN	—	—	0	—	—	—	—	—	—	24.1%	11.1%	13.0%	2.8%	4.45	4.40	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	34	MLB MLE	CIN	102	0	107	450	105	52	14	0%	1.0	23.2%	11.6%	11.6%	3.1%	4.60	4.70	-0.2
2029	35	MLB MLE	CIN	78	0	82	347	77	42	12	0%	1.1	22.3%	12.1%	10.1%	3.5%	4.86	5.04	-0.4
2028	34	MLB CTX	CIN	—	—	0	—	—	—	—	—	—	23.2%	11.6%	11.6%	3.1%	4.60	4.70	—
2029	35	MLB CTX	CIN	—	—	0	—	—	—	—	—	—	22.3%	12.1%	10.1%	3.5%	4.86	5.04	—
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		194	1	193	831	209	107	16	1%	1.0	25.2%	12.9%	12.3%	1.9%	3.97	3.66	+2.0
/ 200 IP	—	RAW		201	1	200	863	217	111	17	1%	1.0	25.2%	12.9%	12.3%	1.9%	3.97	3.66	+2.1
Career	—	MLE		364	75	631	2812	686	471	52	21%	1.7	24.4%	16.8%	7.6%	1.8%	4.08	4.17	+1.3
/ 200 IP	—	MLE		115	24	200	891	217	149	16	21%	1.7	24.4%	16.8%	7.6%	1.8%	4.08	4.17	+0.7

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.

2024 AAAIowa Cubs · 12 IPFIP 3.34 → 3.56 (+0.21)K% 32.7% → 28.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.69%	—	×0.860	28.12%
BB% (unintentional) /BF	15.38%	—	×0.900	13.85%
HR / BF /BF	1.92%	÷1.079	×1.100	1.96%

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 116).

Result: FIP 3.34 → 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).

2019 AAAOmaha Storm Chasers · 51 IPFIP 3.33 → 3.85 (+0.52)K% 33.5% → 29.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.48%	—	×0.880	29.47%
BB% (unintentional) /BF	16.29%	—	×1.050	17.10%
HR / BF /BF	1.81%	÷1.023	×1.100	1.95%

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 105).

Result: FIP 3.33 → 3.85, 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).

2018 AAAOmaha Storm Chasers · 74 IPFIP 3.05 → 3.46 (+0.41)K% 31.3% → 27.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.31%	—	×0.880	27.55%
BB% (unintentional) /BF	15.20%	—	×1.050	15.96%
HR / BF /BF	1.22%	÷1.101	×1.100	1.21%

Result: FIP 3.05 → 3.46, 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 AAAOmaha Storm Chasers · 76 IPFIP 5.29 → 5.99 (+0.70)K% 26.1% → 22.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.05%	—	×0.880	22.92%
BB% (unintentional) /BF	17.65%	—	×1.050	18.53%
HR / BF /BF	3.92%	÷0.956	×1.100	4.51%

Result: FIP 5.29 → 5.99, 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 AANorthwest Arkansas Naturals · 49 IPFIP 3.85 → 4.42 (+0.58)K% 20.9% → 17.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.93%	—	×0.810	16.95%
BB% (unintentional) /BF	15.81%	—	×1.100	17.40%
HR / BF /BF	0.93%	÷1.114	×1.200	1.00%

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 123).

Result: FIP 3.85 → 4.42, 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 A+Wilmington Blue Rocks · 73 IPFIP 3.69 → 4.70 (+1.02)K% 26.6% → 20.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.63%	—	×0.770	20.50%
BB% (unintentional) /BF	18.70%	—	×1.150	21.50%
HR / BF /BF	0.85%	÷0.954	×1.250	1.11%

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 91).

Result: FIP 3.69 → 4.70, 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).

2016 AANorthwest Arkansas Naturals · 50 IPFIP 2.93 → 3.77 (+0.84)K% 32.2% → 26.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.16%	—	×0.810	26.05%
BB% (unintentional) /BF	16.30%	—	×1.100	17.93%
HR / BF /BF	0.88%	÷0.967	×1.200	1.09%

Result: FIP 2.93 → 3.77, 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 ROKIdaho Falls Chukars · 40 IPFIP 2.61 → 4.11 (+1.50)K% 33.7% → 22.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.72%	—	×0.680	22.93%
BB% (unintentional) /BF	18.60%	—	×1.250	23.26%
HR / BF /BF	0.00%	÷1.000	×1.400	0.00%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. 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 2.61 → 4.11, 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
Josh Staumont (OGILVIE)	—	—	4.40	24.1%	11.1%	2.8%	—	4.85	22.8%	11.0%	189	+0.45	—	—	—
Tony Barnette R 2017 · 3.56 FIP	33	SU	3.56	22.6%	7.1%	2.7%	.335	2.61	25.0%	20.2%	26	-0.95	2.61	144	58
D.J. Carrasco R 2010 · 3.45 FIP	33	SU	3.45	19.7%	9.4%	1.5%	.275	4.47	12.0%	6.7%	49	+1.02	3.23	490	58
Huascar Brazobán R 2023 · 3.52 FIP	33	SU	3.52	25.3%	11.3%	2.1%	.304	3.54	21.9%	11.8%	195	+0.02	3.08	370	57
Giovanni Carrara R 2001 · 4.06 FIP	33	SU	4.06	20.1%	6.0%	3.5%	.249	4.28	15.7%	7.9%	173	+0.22	2.50	462	57
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	57
Chris Jakubauskas R 2011 · 4.42 FIP	32	SW	4.42	15.7%	7.9%	3.0%	.339	—	—	—	—	—	4.42	165	57
Jose Manuel Lopez R 2017 · 3.61 FIP	32	SU	3.61	20.4%	10.0%	1.8%	.331	6.14	17.9%	3.7%	41	+2.53	3.50	170	56
Felipe Arredondo R 2019 · 4.65 FIP	32	SU	4.65	16.2%	7.1%	3.7%	.272	—	—	—	—	—	3.92	337	56
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	56
Alan Busenitz R 2024 · 3.57 FIP	33	SU	3.57	18.6%	6.8%	2.1%	.304	7.93	16.1%	9.7%	25	+4.36	2.92	436	55
Jake Sanchez R 2023 · 4.70 FIP	33	SU	4.70	20.3%	10.6%	3.6%	.317	—	—	—	—	—	1.86	361	54
Angel Sánchez R 2023 · 4.90 FIP	33	SW	4.90	19.0%	10.5%	3.8%	.333	3.77	11.8%	6.8%	27	-1.13	3.77	284	54
Shawn Camp R 2009 · 3.73 FIP	33	SU	3.73	17.4%	7.5%	2.1%	.272	3.57	14.4%	9.7%	216	-0.16	2.79	589	54
Ivan Maldonado R 2015 · 4.60 FIP	35	SW	4.60	12.8%	8.7%	2.7%	.269	5.41	6.4%	-3.3%	104	+0.81	4.60	172	53
Jean Machi R 2015 · 4.56 FIP	33	SU	4.56	16.3%	8.6%	3.2%	.276	4.24	18.5%	11.9%	128	-0.32	2.16	306	53
Aquilino López R 2008 · 3.70 FIP	33	SU	3.70	17.7%	5.2%	2.6%	.301	—	—	—	—	—	3.10	207	53
Tommy Nance R 2024 · 3.51 FIP	33	SU	3.51	20.2%	5.8%	2.5%	.327	2.84	26.3%	19.5%	123	-0.67	2.08	360	53
Hirokazu Sawamura R 2021 · 4.48 FIP	33	SU	4.48	26.2%	11.2%	4.0%	.263	4.02	18.1%	6.8%	51	-0.46	4.02	104	53
Jared Burton R 2014 · 3.90 FIP	33	SU	3.90	16.9%	8.1%	2.2%	.263	3.99	25.1%	15.7%	14	+0.09	3.09	367	53
Rafael Betancourt R 2008 · 4.12 FIP	33	SU	4.12	20.7%	6.5%	3.6%	.304	2.37	31.4%	27.3%	181	-1.75	1.79	686	53

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	2.6	66	24.0%	12.1%	1.03	4.37
Roy Thomas ('77-'87, 2 WAR*)	2.1	60	23.5%*	11.0%*	0.94*	4.03*
Brandon Workman ('21)	1.6	55	24.3%	11.1%	1.04	4.02
Dennis Higgins ('66-'72, 1 WAR*)	2.1	82	24.5%*	12.2%*	0.94*	4.34*
José Cisnero ('24)	1.4	46	24.0%	11.3%	1.01	4.16
Rob Tejeda ('05-'11, 3 WAR*)	2.2	74	21.8%*	12.6%*	1.00*	4.23*
Jeff Parrett ('86-'96, 6 WAR*)	3.6	72	24.8%*	11.0%*	1.02*	4.07*