Jose Cuas

P Omaha Storm Chasers

Age 33 RHP 6'3" / 195 lbs AAA peak 0.1 · 2027

Overview

AAARP40-MAN

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	30	MIX2 levels	43	47	6.89	4.40	27.2%	11.8%	0.1	K 24.4% · BB 11.1% · FIP 4.47
2025	31	MIX2 levels	25	28	5.20	4.58	20.0%	17.0%	—	K 17.9% · BB 19.0% · FIP 4.00
2026	32	MIX2 levels	59	63	2.56	3.01	22.9%	11.5%	1.2	K 21.0% · BB 10.8% · FIP 3.13
2027PROJ	33	MLBKC	29	30	4.42	4.37	21.5%	10.9%	0.1
2028PROJ94% MLB	34	MLBKC	20	21	4.46	4.56	20.6%	11.4%	-0.0

Last 3 seasons WAR 1.3 · Next 2 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

K%55

xwOBA vs16

FB Velo12

Form2.12 ERA (proj 4.42) · K 20.3% (proj 21.5%) · BB 16.5% (proj 10.9%) ▼▼ last 90d · 17 IP through Oct 27

CompsJose Manuel Lopez (age 32) · Leo Rosales (age 34) · Arcenio Leon (age 32)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 116108vR 100

ERA4.42

FIP4.37

K%21.5%

BB%10.9%

K-BB%10.5%

Proj IP31

Value2027 · WAR

Runs saved vs league avg · 31 IP

Grades · Statcast · Contract

Scouting Grades

K†5050

Statcast Percentiles

FB Velo

p1291.8

Whiff%

p6327.3%

p5523.1%

xwOBA vs

p160.352

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)
2018	24	A MLE	Wisconsin Timber Rattlers	13	0	19	93	19	10	3	0%	1.5	15.1%	12.7%	2.4%	4.1%	8.38	5.69	—
2018	24	A RAW	Wisconsin Timber Rattlers	13	0	19	93	19	10	3	0%	1.5	20.4%	10.8%	9.7%	3.2%	8.38	4.70	—
2019	25	MIX MLE	2 levels	19	0	36	147	29	10	2	0%	1.9	14.8%	8.0%	6.8%	1.8%	2.02	3.84	—
2019	25	MIX RAW	2 levels	19	0	36	147	29	10	2	0%	1.9	19.7%	6.8%	12.9%	1.4%	2.02	3.04	—
2021	27	MIX MLE	3 levels	27	0	42	164	44	8	1	0%	1.5	19.5%	5.8%	13.7%	0.9%	1.51	2.71	—
2021	27	MIX RAW	3 levels	27	0	42	164	44	8	1	0%	1.5	26.8%	4.9%	22.0%	0.6%	1.51	1.88	—
2022	28	MIX MLE	2 levels	69	0	60	275	55	28	3	0%	0.9	19.1%	10.3%	8.8%	1.2%	2.85	3.45	+0.8
2022	28	MIX RAW	2 levels	69	0	60	275	55	28	3	0%	0.9	20.0%	10.2%	9.8%	1.1%	2.85	3.32	+0.9
2023	29	MIX MLE	2 levels	73	2	66	297	73	36	9	3%	0.9	24.3%	12.0%	12.3%	2.8%	4.07	4.13	+0.3
2023	29	MIX RAW	2 levels	73	2	66	297	73	36	9	3%	0.9	24.6%	12.1%	12.5%	3.0%	4.07	4.29	+0.2
2024	30	MIX MLE	2 levels	43	0	47	228	62	27	8	0%	1.1	24.4%	11.1%	13.4%	3.7%	6.89	4.47	+0.0
2024	30	MIX MLE	2 levels	43	0	47	228	62	27	8	0%	1.1	24.4%	11.1%	13.4%	3.7%	6.89	4.47	+0.0
2024	30	MIX RAW	2 levels	43	0	47	228	62	27	8	0%	1.1	27.2%	11.8%	15.4%	3.5%	6.89	4.40	+0.1
2025	31	MIX MLE	2 levels	25	0	28	135	27	23	2	0%	1.1	17.9%	19.0%	-1.1%	0.0%	5.20	4.00	—
2025	31	MIX MLE	2 levels	25	0	28	135	27	23	2	0%	1.1	17.9%	19.0%	-1.1%	0.0%	5.20	4.00	—
2025	31	MIX RAW	2 levels	25	0	28	135	27	23	2	0%	1.1	20.0%	17.0%	3.0%	1.5%	5.20	4.58	—
2026	32	MIX MLE	2 levels	59	0	63	279	64	32	2	0%	1.1	21.0%	10.8%	10.2%	0.8%	2.56	3.13	+1.1
2026	32	MIX MLE	2 levels	59	0	63	279	64	32	2	0%	1.1	21.0%	10.8%	10.2%	0.8%	2.56	3.13	+1.1
2026	32	MIX RAW	2 levels	59	0	63	279	64	32	2	0%	1.1	22.9%	11.5%	11.5%	0.7%	2.56	3.01	+1.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			156	2	143	663	147	80	14	1%	0.9	22.2%	12.1%	10.1%	2.1%	4.04	4.00	+0.9
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	33	MLB	KC	29	0	30	127	27	14	3	0%	1.0	21.5%	10.9%	10.5%	2.4%	4.42	4.37	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	34	MLB MLE	KC	22	0	23	95	20	11	3	0%	1.0	20.6%	11.4%	9.1%	2.7%	4.57	4.67	-0.0
2028	34	MLB CTX	KC	20	0	21	89	18	10	2	0%	1.1	20.6%	11.4%	9.1%	2.5%	4.46	4.56	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		176	2	164	753	165	90	16	1%	0.9	22.0%	12.0%	10.0%	2.2%	4.09	3.95	+1.2
/ 200 IP	—	RAW		215	2	200	918	201	110	20	1%	0.9	22.0%	12.0%	10.0%	2.2%	4.09	3.95	+1.4
Career	—	MLE		328	2	361	1618	331	178	30	1%	1.1	20.5%	11.0%	9.4%	1.9%	3.79	3.80	+0.9
/ 200 IP	—	MLE		182	1	200	896	183	99	17	1%	1.1	20.5%	11.0%	9.4%	1.9%	3.79	3.80	+1.1

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.

2026 AAAOmaha Storm Chasers · 40 IPFIP 3.15 → 3.35 (+0.20)K% 22.8% → 19.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.81%	—	×0.860	19.61%
BB% (unintentional) /BF	10.53%	—	×0.900	9.47%
HR / BF /BF	1.17%	÷1.000	×1.100	1.29%

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 3.15 → 3.35, 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).

2025 AAColumbus Clingstones · 22 IPFIP 3.42 → 4.00 (+0.57)K% 22.1% → 17.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.12%	—	×0.810	17.91%
BB% (unintentional) /BF	17.31%	—	×1.100	19.04%
HR / BF /BF	0.00%	÷0.934	×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 87).

Result: FIP 3.42 → 4.00, 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).

2025 AAALehigh Valley IronPigs · 5 IPFIP 7.59 → 8.11 (+0.52)K% 12.9% → 11.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	12.90%	—	×0.860	11.10%
BB% (unintentional) /BF	16.13%	—	×0.900	14.52%
HR / BF /BF	6.45%	÷0.947	×1.100	7.49%

Result: FIP 7.59 → 8.11, 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).

2024 AAALehigh Valley IronPigs · 31 IPFIP 3.57 → 3.95 (+0.38)K% 31.0% → 26.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.03%	—	×0.860	26.69%
BB% (unintentional) /BF	12.41%	—	×0.900	11.17%
HR / BF /BF	2.76%	÷0.989	×1.100	3.07%

Result: FIP 3.57 → 3.95, 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 AAAOmaha Storm Chasers · 22 IPFIP 2.61 → 2.94 (+0.33)K% 22.1% → 19.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.11%	—	×0.880	19.45%
BB% (unintentional) /BF	6.32%	—	×1.050	6.63%
HR / BF /BF	1.05%	÷0.984	×1.100	1.18%

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 2.61 → 2.94, 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 AANorthwest Arkansas Naturals · 32 IPFIP 2.15 → 2.71 (+0.56)K% 24.1% → 19.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.06%	—	×0.810	19.49%
BB% (unintentional) /BF	5.26%	—	×1.100	5.79%
HR / BF /BF	0.75%	÷0.957	×1.200	0.94%

Result: FIP 2.15 → 2.71, 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 AKane County Cougars · 22 IPFIP 3.15 → 4.07 (+0.93)K% 19.8% → 14.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.78%	—	×0.740	14.64%
BB% (unintentional) /BF	8.79%	—	×1.180	10.37%
HR / BF /BF	1.10%	÷0.875	×1.300	1.63%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 75).

Result: FIP 3.15 → 4.07, 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+Visalia Rawhide · 14 IPFIP 2.87 → 3.46 (+0.59)K% 19.6% → 15.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.64%	—	×0.770	15.12%
BB% (unintentional) /BF	3.57%	—	×1.150	4.11%
HR / BF /BF	1.79%	÷1.095	×1.250	2.04%

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 119).

Result: FIP 2.87 → 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).

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
Jose Cuas (OGILVIE)	—	—	4.37	21.5%	10.9%	2.4%	—	4.67	20.6%	9.1%	23	+0.30	—	—	—
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	80
Leo Rosales R 2015 · 3.99 FIP	34	SU	3.99	18.1%	10.8%	1.9%	.261	4.24	7.8%	-0.4%	22	+0.25	3.85	130	77
Arcenio Leon R 2019 · 3.61 FIP	32	SU	3.61	21.4%	8.1%	2.4%	.314	—	—	—	—	—	3.00	115	76
Miguel Mejia R 2019 · 4.41 FIP	31	SU	4.41	15.7%	10.7%	2.3%	.341	—	—	—	—	—	3.37	108	74
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	74
Jason Bulger R 2010 · 4.36 FIP	31	SU	4.36	22.5%	13.5%	2.6%	.324	—	—	—	—	—	3.78	106	73
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	72
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	72
Dustin Molleken R 2017 · 3.38 FIP	32	SU	3.38	24.3%	12.4%	1.4%	.311	—	—	—	—	—	3.38	129	71
Chad Fox R 2003 · 3.70 FIP	32	SU	3.70	23.2%	13.6%	1.5%	.262	—	—	—	—	—	2.82	194	70
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	70
Steve Delabar R 2016 · 4.62 FIP	33	SU	4.62	20.4%	15.6%	2.3%	.308	—	—	—	—	—	2.43	229	69
Mike James R 2001 · 4.52 FIP	33	SU	4.52	15.0%	8.7%	2.9%	.299	4.84	19.6%	9.8%	11	+0.32	2.87	314	69
Jim Henderson R 2016 · 4.55 FIP	33	SU	4.55	25.8%	9.0%	4.5%	.287	—	—	—	—	—	1.86	167	69
Fernando Rodriguez Jr. R 2016 · 3.61 FIP	32	SU	3.61	22.7%	10.4%	2.0%	.255	4.41	24.1%	13.8%	97	+0.80	3.34	335	69
Ryan Brasier R 2021 · 4.85 FIP	33	SU	4.85	18.0%	8.0%	4.1%	.286	3.16	23.7%	17.9%	150	-1.69	2.31	426	69
Mike Buddie R 2002 · 4.26 FIP	31	SU	4.26	15.1%	7.6%	2.7%	.297	—	—	—	—	—	3.76	123	68
Juan Sandoval R 2015 · 3.82 FIP	34	SU	3.82	15.4%	6.0%	2.3%	.294	3.33	17.4%	8.8%	116	-0.49	3.24	225	68
Mark Serrano R 2019 · 5.25 FIP	33	SU	5.25	20.2%	7.9%	5.2%	.289	—	—	—	—	—	3.16	120	67
Fernando Nieve R 2015 · 4.27 FIP	33	SU	4.27	22.0%	10.5%	3.1%	.290	2.43	26.9%	22.6%	89	-1.84	1.96	287	67

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	1.0	39	21.9%	12.3%	0.86	4.16
Yorkis Perez ('02)	1.4	40	20.8%	11.8%	0.93	4.44
David Aardsma ('15)	1.7	48	23.1%	12.4%	1.09	4.27
Tim Collins ('19)	1.2	48	23.3%	13.0%	0.89	3.60
Ray Searage ('81-'90, 4 WAR*)	1.4	41	21.0%*	10.8%*	0.84*	3.70*
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*