Kyle Wilcox — OGILVIE

Kyle Wilcox P Albuquerque Isotopes

Age 32 RHP 6'3" / 195 lbs AAA

2026 ROS PROJECTION0 act + 2 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 131122vR 114

ERA5.13

FIP5.13

K%21.2%

BB%14.1%

K-BB%7.0%

ROS IP2

Value2026 · WAR

Runs saved vs league avg · 2 IP

Grades · Contract

Scouting Grades

K†5050

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)
2016	22	A MLE	Clinton LumberKings	36	9	76	365	80	68	2	25%	2.1	16.2%	22.0%	-5.8%	0.7%	7.11	4.92	—
2016	22	A RAW	Clinton LumberKings	36	9	76	365	80	68	2	25%	2.1	21.9%	18.6%	3.3%	0.5%	7.11	4.02	—
2017	23	A MLE	Clinton LumberKings	21	0	33	147	52	21	4	0%	1.6	26.2%	16.9%	9.3%	3.8%	3.78	5.11	—
2017	23	A RAW	Clinton LumberKings	21	0	33	147	52	21	4	0%	1.6	35.4%	14.3%	21.1%	2.7%	3.78	3.43	—
2018	24	MIX MLE	2 levels	37	0	59	248	94	29	4	0%	1.6	29.7%	12.2%	17.4%	1.2%	3.38	2.78	—
2018	24	MIX RAW	2 levels	37	0	59	248	94	29	4	0%	1.6	37.9%	11.7%	26.2%	1.6%	3.38	2.26	—
2019	25	MIX MLE	2 levels	46	0	62	277	91	48	4	0%	1.3	25.1%	21.2%	4.0%	2.7%	3.21	5.16	—
2019	25	MIX RAW	2 levels	46	0	62	277	91	48	4	0%	1.3	32.9%	17.3%	15.5%	1.4%	3.21	3.33	—
2022	28	MIX MLE	2 levels	17	1	17	74	24	19	1	6%	1.0	25.1%	26.6%	-1.4%	2.2%	2.16	5.57	—
2022	28	MIX RAW	2 levels	17	1	17	74	24	19	1	6%	1.0	32.4%	25.7%	6.8%	1.4%	2.16	4.42	—
2023	29	MIX MLE	2 levels	48	0	55	227	72	34	2	0%	1.1	25.8%	15.4%	10.3%	1.3%	2.62	3.61	—
2023	29	MIX MLE	2 levels	48	0	55	227	72	34	2	0%	1.1	25.8%	15.4%	10.3%	1.3%	2.62	3.61	—
2023	29	MIX RAW	2 levels	48	0	55	227	72	34	2	0%	1.1	31.7%	15.0%	16.7%	0.9%	2.62	2.81	—
2024	30	AAA MLE	Albuquerque Isotopes	16	0	26	133	30	25	5	0%	1.6	18.7%	16.9%	1.8%	3.8%	9.12	5.73	—
2024	30	AAA MLE	Albuquerque Isotopes	16	0	26	133	30	25	5	0%	1.6	18.7%	16.9%	1.8%	3.8%	9.12	5.73	—
2024	30	AAA RAW	Albuquerque Isotopes	16	0	26	133	30	25	5	0%	1.6	22.6%	18.8%	3.8%	3.8%	9.12	6.22	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	32	MLB	COL	2	0	2	8	2	1	0	0%	1.0	21.2%	14.1%	7.0%	3.0%	5.13	5.13	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	33	MLB MLE	COL	19	0	20	84	18	12	3	0%	1.1	20.9%	14.1%	6.8%	3.3%	5.20	5.30	-0.2
2027	33	MLB CTX	COL	7	0	7	30	6	4	1	0%	1.0	20.9%	14.1%	6.8%	3.3%	5.20	5.30	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	0	7	31	6	4	1	0%	1.1	20.9%	14.1%	6.8%	3.3%	5.20	4.92	-0.0
/ 200 IP	—	RAW		190	0	200	844	163	109	27	0%	1.1	20.9%	14.1%	6.8%	3.3%	5.20	4.92	-0.9
Career	—	MLE		221	10	327	1471	343	271	28	5%	1.5	23.3%	18.4%	4.9%	1.9%	4.51	4.52	-0.2
/ 200 IP	—	MLE		135	6	200	900	210	166	17	5%	1.5	23.3%	18.4%	4.9%	1.9%	4.51	4.52	-1.7

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 Wilcox (OGILVIE)	—	—	5.13	21.2%	14.1%	3.0%	—	5.30	20.9%	6.8%	20	+0.17	—	—	—
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	84
Clayton Mortensen R 2017 · 4.59 FIP	32	SU	4.59	23.2%	14.2%	3.0%	.258	—	—	—	—	—	4.31	221	84
Miguel Mejia R 2019 · 4.41 FIP	31	SU	4.41	15.7%	10.7%	2.3%	.341	—	—	—	—	—	3.37	108	77
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	77
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	76
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	76
Ryan Cook R 2018 · 3.96 FIP	31	SU	3.96	25.1%	10.8%	2.9%	.280	—	—	—	—	—	3.96	102	75
A.J. Schugel R 2021 · 4.82 FIP	32	SU	4.82	16.6%	12.3%	2.9%	.351	—	—	—	—	—	2.80	299	75
Fredy Quintero R 2019 · 4.62 FIP	31	SU	4.62	17.2%	13.7%	2.2%	.310	—	—	—	—	—	4.29	241	74
Dalier Hinojosa R 2016 · 4.30 FIP	30	SU	4.30	18.7%	12.6%	2.2%	.329	—	—	—	—	—	3.41	104	74
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	73
Antonio Guzman R 2019 · 4.96 FIP	31	SU	4.96	19.3%	14.7%	3.0%	.326	—	—	—	—	—	3.15	254	73
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	72
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	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	72
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	70
Rudy Gonzalez R 2015 · 4.52 FIP	34	SW	4.52	13.5%	9.6%	2.4%	.347	3.84	14.0%	6.5%	79	-0.68	3.31	119	70
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	70
Jeff Manship R 2016 · 4.87 FIP	31	SU	4.87	19.0%	10.6%	3.7%	.262	—	—	—	—	—	2.83	114	70
Brandon Workman R 2021 · 4.97 FIP	32	SU	4.97	18.4%	14.0%	3.0%	.364	—	—	—	—	—	2.04	269	70