Miguel Yajure — OGILVIE

Miguel Yajure P Sugar Land Space Cowboys

Age 28 RHP 6'1" / 215 lbs AAA

2026 ROS PROJECTION1 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 129121vR 113

ERA5.05

FIP5.06

K%20.6%

BB%11.7%

K-BB%8.9%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 7 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF4545

CTRL3535

CMD2525

K†5050

Statcast Percentiles

FB Velo

p2792.9

Whiff%

p3823.6%

p1013.4%

xwOBA vs

p100.411

CT-3.4

FB-6.8

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)
2015	17	ROK MLE	DSL Yankees 2	14	14	57	235	36	20	1	100%	4.1	10.4%	10.6%	-0.2%	0.6%	1.42	3.89	—
2015	17	ROK RAW	DSL Yankees 2	14	14	57	235	36	20	1	100%	4.1	15.3%	8.5%	6.8%	0.4%	1.42	3.12	—
2016	18	ROK MLE	GCL Yankees East	9	6	31	123	21	5	1	67%	3.5	11.6%	5.1%	6.5%	1.1%	2.87	3.39	—
2016	18	ROK RAW	GCL Yankees East	9	6	31	123	21	5	1	67%	3.5	17.1%	4.1%	13.0%	0.8%	2.87	2.65	—
2018	20	A MLE	Charleston RiverDogs	14	14	65	270	56	15	3	100%	4.6	15.3%	6.6%	8.8%	1.8%	3.90	3.61	—
2018	20	A RAW	Charleston RiverDogs	14	14	65	270	56	15	3	100%	4.6	20.7%	5.6%	15.2%	1.1%	3.90	2.67	—
2019	21	MIX MLE	2 levels	24	20	139	556	133	30	5	83%	5.8	18.3%	6.3%	12.1%	1.3%	2.14	3.05	—
2019	21	MIX RAW	2 levels	24	20	139	556	133	30	5	83%	5.8	23.9%	5.4%	18.5%	0.9%	2.14	2.30	—
2020	22	MLB MLE	New York Yankees	3	0	7	29	8	5	1	0%	2.3	27.6%	17.2%	10.3%	3.4%	1.29	4.85	-0.0
2020	22	MLB RAW	New York Yankees	3	0	7	29	8	5	1	0%	2.3	27.6%	17.2%	10.3%	3.4%	1.29	4.81	-0.0
2021	23	MIX MLE	3 levels	15	14	63	261	56	21	13	93%	4.2	19.1%	8.5%	10.6%	5.2%	4.60	5.41	-0.4
2021	23	MIX RAW	3 levels	15	14	63	261	56	21	13	93%	4.2	21.5%	8.0%	13.4%	5.0%	4.60	5.01	-0.1
2022	24	MIX MLE	2 levels	28	15	79	364	69	38	10	54%	2.8	17.2%	10.8%	6.5%	3.0%	6.95	4.64	+0.2
2022	24	MIX RAW	2 levels	28	15	79	364	69	38	10	54%	2.8	19.0%	10.4%	8.5%	2.7%	6.95	4.44	+0.4
2023	25	MIX MLE	3 levels	22	19	76	352	80	38	10	86%	3.4	18.6%	9.7%	8.8%	3.4%	6.07	4.62	—
2023	25	MIX MLE	3 levels	22	19	76	352	80	38	10	86%	3.4	18.6%	9.7%	8.8%	3.4%	6.07	4.62	—
2023	25	MIX RAW	3 levels	22	19	76	352	80	38	10	86%	3.4	22.7%	10.8%	11.9%	2.8%	6.07	4.21	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			19	4	46	216	35	27	10	21%	2.4	16.2%	12.5%	3.7%	4.6%	7.58	6.14	-0.8
▸ 2026 season
YTD	28	AAA MLE	Sugar Land Space Cowboys	1	0	1	7	0	5	0	0%	0.7	—	—	—	—	54.00	—	—
YTD	28	AAA MLE	Sugar Land Space Cowboys	1	0	1	7	0	5	0	0%	0.7	—	—	—	—	54.00	—	—
▸ 2026 season — so far · projected rest · full
2026	28	AAA RAW	HOU	1	0	1	7	0	5	0	0%	0.7	0.0%	71.4%	-71.4%	0.0%	54.00	12.15	—
ROS	28	MLB MLE	HOU	6	0	6	25	5	3	1	0%	1.0	20.6%	11.7%	8.9%	3.4%	5.05	5.06	-0.0
2026 TOT	28	MLB MLE	HOU	—	—	7	32	5	8	1	—	—	16.1%	24.9%	-8.8%	2.6%	10.07	4.54	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	29	MLB MLE	HOU	11	11	66	280	57	33	10	100%	6.0	20.3%	11.7%	8.7%	3.5%	5.08	5.15	-0.2
2028	30	MLB MLE	HOU	10	10	62	263	52	31	10	100%	6.2	19.9%	11.8%	8.1%	3.6%	5.18	5.29	-0.3
2027	29	MLB CTX	HOU	4	4	24	101	21	12	4	100%	6.0	20.3%	11.7%	8.7%	3.5%	5.08	5.15	-0.1
2028	30	MLB CTX	HOU	6	6	34	144	29	17	5	100%	5.7	19.9%	11.8%	8.1%	3.6%	5.18	5.29	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		29	14	106	466	85	56	19	48%	3.6	18.3%	12.1%	6.2%	4.1%	6.21	5.32	-0.9
/ 200 IP	—	RAW		56	26	200	883	161	106	36	47%	3.6	18.3%	12.1%	6.2%	4.1%	6.21	5.32	-1.7
Career	—	MLE		130	102	517	2197	368	190	52	78%	4.0	16.8%	8.6%	8.1%	2.4%	3.99	4.08	-1.1
/ 200 IP	—	MLE		50	39	200	850	142	73	20	78%	4.0	16.8%	8.6%	8.1%	2.4%	3.99	4.08	-1.2

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
Miguel Yajure (OGILVIE)	—	—	5.06	20.6%	11.7%	3.4%	—	5.22	20.1%	8.4%	128	+0.16	—	—	—
Fabio Castillo R 2017 · 3.98 FIP	28	SP-	3.98	20.9%	8.8%	2.8%	.291	—	—	—	—	—	3.13	195	79
Hector Noesí R 2015 · 4.37 FIP	28	SP-	4.37	17.6%	8.1%	3.2%	.261	—	—	—	—	—	4.37	250	77
Ariel Peña R 2017 · 3.99 FIP	28	SP	3.99	22.5%	12.0%	2.3%	.304	6.07	19.9%	-5.7%	21	+2.08	3.74	223	74
Matt Cain R 2015 · 4.88 FIP	30	SP-	4.88	17.1%	6.8%	4.3%	.296	4.87	15.2%	7.6%	214	-0.01	4.82	294	73
Kris Medlen R 2015 · 4.82 FIP	29	SP-	4.82	15.4%	6.4%	4.0%	.261	5.17	17.1%	8.6%	173	+0.35	4.59	261	73
Justin Masterson R 2015 · 4.10 FIP	30	SP-	4.10	18.2%	10.5%	2.2%	.307	3.73	17.3%	6.4%	196	-0.37	3.50	269	72
Vanny Valenzuela R 2016 · 4.54 FIP	28	SP	4.54	16.3%	11.3%	2.5%	.380	6.25	10.9%	1.2%	25	+1.71	3.26	118	72
Omar Bencomo R 2017 · 4.50 FIP	28	SP-	4.50	18.9%	6.3%	4.0%	.333	4.48	14.9%	10.1%	186	-0.02	3.70	381	71
Chris Ellis R 2021 · 5.41 FIP	28	SP	5.41	19.6%	11.5%	4.6%	.274	6.19	11.8%	-1.3%	64	+0.78	3.84	780	71
Austin Bibens-Dirkx R 2015 · 3.97 FIP	30	SP	3.97	17.4%	7.1%	2.6%	.315	4.94	15.9%	8.7%	305	+0.97	3.97	567	70
David Phelps R 2015 · 3.94 FIP	28	SP	3.94	16.0%	6.8%	2.4%	.299	2.82	29.9%	20.6%	142	-1.12	2.50	373	70
Clayton Mortensen R 2015 · 4.41 FIP	30	SP-	4.41	15.0%	12.6%	1.8%	.289	4.43	22.0%	10.3%	115	+0.02	4.31	221	69
David Griffin R 2023 · 5.85 FIP	27	SP-	5.85	13.9%	9.2%	5.0%	.306	—	—	—	—	—	4.43	239	69
Yohan Pino R 2015 · 4.13 FIP	31	SP-	4.13	17.8%	5.8%	3.3%	.312	5.33	15.2%	11.6%	35	+1.20	4.13	133	69
Luke Irvine R 2016 · 4.31 FIP	27	SP-	4.31	13.4%	9.8%	2.0%	.302	—	—	—	—	—	4.31	104	68
Lucas Harrell R 2016 · 4.07 FIP	31	SP	4.07	15.7%	12.9%	1.2%	.310	3.57	16.2%	5.7%	30	-0.50	3.57	139	68
Lisalverto Bonilla R 2017 · 4.61 FIP	27	SW	4.61	18.2%	10.5%	3.1%	.304	4.70	15.8%	3.2%	11	+0.09	3.22	221	68
Andrew Quezada R 2023 · 5.33 FIP	26	SP-	5.33	14.4%	9.5%	4.1%	.344	4.92	12.5%	5.0%	173	-0.41	4.40	412	68
Jacob Turner R 2018 · 4.48 FIP	27	SP-	4.48	14.9%	8.8%	2.8%	.297	—	—	—	—	—	4.29	340	68
Kanekoa Texeira R 2015 · 4.13 FIP	29	SP-	4.13	14.5%	11.2%	1.5%	.280	4.10	10.2%	-0.2%	63	-0.03	4.10	165	67

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.0	66	20.3%	11.7%	1.35	5.10
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Roansy Contreras ('24)	1.2	77	19.5%	10.1%	1.36	4.78
Amir Garrett ('23)	1.5	51	25.8%	13.4%	1.50	5.10
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Alex Young ('23)	1.3	52	19.5%	8.6%	1.61	4.43
Jacob Barnes ('24)	1.5	42	22.1%	9.6%	1.21	4.58