Jose Cuas — OGILVIE

Jose Cuas P Omaha Storm Chasers

Age 32 RHP 6'3" / 195 lbs AAA

2026 ROS PROJECTION58 act + 2 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 115107vR 99

ERA4.24

FIP4.32

K%21.7%

BB%11.4%

K-BB%10.4%

ROS IP2

Value2026 · WAR

Runs saved vs league avg · 60 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

K†5555

Statcast Percentiles

FB Velo

p1592.0

Whiff%

p6026.9%

p5122.4%

xwOBA vs

p120.357

SI (40%)

CH-0.6 (3%)

FB-0.9 (73%)

SL-4.7 (23%)

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 + 2026 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 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	23.8%	11.1%	12.8%	3.7%	6.89	4.52	+0.0
2024	30	MIX MLE	2 levels	43	0	47	228	62	27	8	0%	1.1	23.8%	11.1%	12.8%	3.7%	6.89	4.52	+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	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			151	2	137	640	141	76	14	1%	0.9	22.0%	11.9%	10.2%	2.2%	4.13	4.03	+0.8
▸ 2026 season
YTD	32	MLB MLE	Kansas City Royals	54	0	58	256	58	28	2	0%	1.1	20.1%	10.2%	9.8%	0.9%	2.64	3.17	—
YTD	32	MLB MLE	Kansas City Royals	54	0	58	256	58	28	2	0%	1.1	20.1%	10.2%	9.8%	0.9%	2.64	3.17	—
▸ 2026 season — so far · projected rest · full
2026	32	AAA RAW	KC	35	0	40	171	39	18	2	0%	1.1	22.8%	10.5%	12.3%	1.2%	2.70	3.15	—
2026	32	MLB RAW	KC	19	0	18	85	19	10	0	0%	0.9	22.4%	11.8%	10.6%	0.0%	2.50	2.70	+0.4
SO FAR	32	MLB RAW	KC	19	0	18	85	19	10	0	0%	0.9	22.4%	11.8%	10.6%	0.0%	2.50	2.70	+0.4
ROS	32	MLB MLE	KC	2	0	2	8	2	1	0	0%	0.9	21.7%	11.4%	10.4%	2.9%	4.24	4.32	+0.0
ROS	32	MLB CTX	KC	2	0	2	8	2	1	0	0%	1.0	21.7%	11.4%	10.4%	2.7%	4.12	4.20	+0.0
2026 TOT	32	MLB MLE	KC	—	—	60	264	60	29	2	—	—	22.6%	11.0%	11.7%	0.8%	2.69	3.21	+1.0
FULL	32	MLB A+C	KC	—	—	20	84	60	29	2	—	—	71.2%	34.4%	36.7%	2.6%	8.09	2.90	+0.3
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	33	MLB MLE	KC	19	0	20	86	19	10	2	0%	1.1	21.5%	12.1%	9.4%	2.9%	4.62	4.76	-0.0
2027	33	MLB CTX	KC	18	0	19	80	17	10	2	0%	1.1	21.5%	12.1%	9.4%	2.6%	4.50	4.64	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		171	2	159	730	160	87	16	1%	0.9	22.0%	11.9%	10.1%	2.2%	4.17	3.98	+1.1
/ 200 IP	—	RAW		216	3	200	920	202	110	20	1%	0.9	22.0%	11.9%	10.1%	2.2%	4.17	3.98	+1.3
Career	—	MLE		323	2	356	1595	322	174	30	1%	1.1	20.2%	10.9%	9.3%	1.9%	3.82	3.82	+0.8
/ 200 IP	—	MLE		182	1	200	897	181	98	17	1%	1.1	20.2%	10.9%	9.3%	1.9%	3.82	3.82	+1.0

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)	—	—	4.72	22.4%	11.6%	3.0%	—	4.76	21.5%	9.4%	20	+0.04	—	—	—
Clayton Mortensen R 2017 · 4.59 FIP	32	SU	4.59	23.2%	14.2%	3.0%	.258	—	—	—	—	—	4.31	221	80
Joakim Soria R 2016 · 4.33 FIP	32	SU	4.33	23.2%	9.2%	3.7%	.319	2.63	28.5%	21.7%	186	-1.70	2.01	380	78
Louis Coleman R 2018 · 3.98 FIP	32	SU	3.98	19.8%	9.9%	2.4%	.243	4.44	17.6%	3.6%	14	+0.46	3.10	256	78
Cory Gearrin R 2018 · 4.02 FIP	32	SU	4.02	21.4%	8.1%	3.1%	.292	3.78	19.5%	9.5%	55	-0.24	3.15	272	77
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	112	77
Ryan Cook R 2018 · 3.96 FIP	31	SU	3.96	25.1%	10.8%	2.9%	.280	—	—	—	—	—	3.96	102	76
Dan Winkler R 2022 · 3.87 FIP	32	SU	3.87	24.4%	14.0%	1.9%	.281	—	—	—	—	—	2.40	231	75
Manny Acosta R 2016 · 4.19 FIP	35	SU	4.19	18.1%	9.1%	2.7%	.273	3.08	23.2%	9.9%	44	-1.11	3.08	102	75
Tyler Clippard R 2017 · 4.37 FIP	32	SU	4.37	27.3%	11.4%	3.9%	.243	3.59	28.0%	21.3%	157	-0.78	2.49	417	74
Rafael Martín R 2016 · 4.74 FIP	32	SU	4.74	20.5%	10.7%	3.7%	.265	3.96	21.3%	15.8%	110	-0.78	2.94	227	74
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	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	4.12	186	72
Brad Boxberger R 2020 · 4.65 FIP	32	SU	4.65	22.8%	10.1%	4.0%	.280	3.49	27.2%	17.5%	149	-1.16	3.01	363	71
Junichi Tazawa R 2018 · 5.14 FIP	32	SU	5.14	20.4%	10.1%	4.5%	.362	4.16	17.0%	8.6%	21	-0.98	2.94	227	71
Jeff Manship R 2016 · 4.87 FIP	31	SU	4.87	19.0%	10.6%	3.7%	.262	—	—	—	—	—	2.83	114	71
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	70
Jonathan Broxton R 2016 · 3.77 FIP	32	SU	3.77	22.0%	7.3%	2.9%	.256	4.34	20.5%	9.0%	16	+0.57	3.67	137	70
David Phelps R 2019 · 4.35 FIP	32	SU	4.35	24.5%	10.9%	3.5%	.289	3.46	26.7%	16.6%	84	-0.89	2.50	373	70
Dustin McGowan R 2015 · 5.32 FIP	33	SU	5.32	15.0%	14.5%	3.0%	.300	4.23	20.9%	13.0%	145	-1.09	3.82	208	69
Miguel Mejia R 2019 · 4.41 FIP	31	SU	4.41	15.7%	10.7%	2.3%	.341	—	—	—	—	—	3.37	108	69