Glenn Otto Jr. — OGILVIE

Glenn Otto Jr. P Sugar Land Space Cowboys

Age 30 RHP 6'3" / 240 lbs AAA peak 0.4 · 2026

2026 ROS PROJECTION0 act + 4 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 125117vR 109

ERA4.70

FIP4.84

K%21.9%

BB%11.2%

K-BB%10.7%

ROS IP4

Value2026 · WAR

Runs saved vs league avg · 4 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF5050

CTRL4040

CMD4040

K†5050

Statcast Percentiles

FB Velo

p3893.7

Whiff%

p9033.3%

p4621.6%

xwOBA vs

p100.404

SL-1.1

FB-3.4

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)
2017	21	ROK MLE	GCL Yankees West	2	2	3	10	5	0	0	100%	1.5	50.0%	0.0%	50.0%	0.0%	0.00	-1.12	—
2017	21	ROK RAW	GCL Yankees West	2	2	3	10	5	0	0	100%	1.5	50.0%	0.0%	50.0%	0.0%	0.00	-0.23	—
2018	22	A MLE	Charleston RiverDogs	2	2	10	45	8	7	1	100%	5.2	17.8%	15.6%	2.2%	2.2%	3.48	4.79	—
2018	22	A RAW	Charleston RiverDogs	2	2	10	45	8	7	1	100%	5.2	17.8%	15.6%	2.2%	2.2%	3.48	4.84	—
2019	23	MIX MLE	2 levels	17	14	61	265	74	36	1	82%	3.6	21.4%	15.5%	5.9%	0.5%	3.23	3.55	—
2019	23	MIX RAW	2 levels	17	14	61	265	74	36	1	82%	3.6	27.9%	13.6%	14.3%	0.4%	3.23	2.66	—
2021	25	MIX MLE	3 levels	23	22	119	491	162	32	8	96%	5.2	28.3%	6.9%	21.3%	1.8%	4.39	2.56	+3.6
2021	25	MIX RAW	3 levels	23	22	119	491	162	32	8	96%	5.2	33.0%	6.5%	26.5%	1.6%	4.39	2.06	+4.4
2022	26	MIX MLE	2 levels	30	30	145	627	119	65	22	100%	4.8	18.2%	10.6%	7.7%	3.3%	4.52	4.73	+0.3
2022	26	MIX RAW	2 levels	30	30	145	627	119	65	22	100%	4.8	19.0%	10.4%	8.6%	3.5%	4.52	4.77	+0.2
2023	27	MIX MLE	2 levels	19	9	46	207	54	32	11	47%	2.4	22.6%	14.2%	8.4%	5.2%	5.52	5.86	-0.7
2023	27	MIX MLE	2 levels	19	9	46	207	54	32	11	47%	2.4	22.6%	14.2%	8.4%	5.2%	5.52	5.86	-0.7
2023	27	MIX RAW	2 levels	19	9	46	207	54	32	11	47%	2.4	26.1%	15.5%	10.6%	5.3%	5.52	5.97	-0.7
2024	28	MIX MLE	2 levels	13	5	16	78	21	14	3	38%	1.3	23.9%	15.3%	8.7%	2.1%	7.71	4.15	—
2024	28	MIX MLE	2 levels	13	5	16	78	21	14	3	38%	1.3	23.9%	15.3%	8.7%	2.1%	7.71	4.15	—
2024	28	MIX RAW	2 levels	13	5	16	78	21	14	3	38%	1.3	26.9%	17.9%	9.0%	3.8%	7.71	5.49	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			39	33	170	749	146	76	29	85%	4.4	19.5%	10.1%	9.3%	3.9%	5.62	4.94	-0.1
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	30	MLB	HOU	1	1	4	17	4	2	1	100%	4.0	21.9%	11.2%	10.7%	3.3%	4.70	4.84	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	HOU	8	8	49	206	43	24	7	100%	6.1	21.1%	11.6%	9.5%	3.5%	4.93	5.08	-0.1
2028	32	MLB MLE	HOU	8	8	45	190	39	23	7	100%	5.6	20.3%	11.9%	8.4%	3.7%	5.17	5.33	-0.2
2029	33	MLB MLE	HOU	7	7	41	175	34	22	7	100%	5.9	19.4%	12.4%	7.1%	4.0%	5.43	5.61	-0.3
2027	31	MLB CTX	HOU	3	3	18	76	16	9	3	100%	6.0	21.1%	11.6%	9.5%	3.5%	4.93	5.08	-0.0
2028	32	MLB CTX	HOU	4	4	25	106	21	13	4	100%	6.2	20.3%	11.9%	8.4%	3.7%	5.17	5.33	-0.1
2029	33	MLB CTX	HOU	5	5	28	118	23	15	5	100%	5.6	19.4%	12.4%	7.1%	4.0%	5.43	5.61	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		51	45	240	1048	206	112	40	88%	4.7	19.7%	10.7%	9.0%	3.8%	5.50	4.90	-0.0
/ 200 IP	—	RAW		42	37	200	872	171	93	33	88%	4.7	19.7%	10.7%	9.0%	3.8%	5.50	4.90	-0.0
Career	—	MLE		106	84	401	1723	388	189	44	79%	3.8	22.5%	11.0%	11.5%	2.6%	4.47	4.01	-0.7
/ 200 IP	—	MLE		53	42	200	859	194	94	22	79%	3.8	22.5%	11.0%	11.5%	2.6%	4.47	4.01	-0.5

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
Glenn Otto Jr. (OGILVIE)	—	—	4.84	21.9%	11.2%	3.3%	—	5.33	20.3%	8.4%	135	+0.49	—	—	—
Fabio Castillo R 2017 · 3.98 FIP	28	SP-	3.98	20.9%	8.8%	2.8%	.291	—	—	—	—	—	3.13	195	76
Michael Mariot R 2019 · 5.01 FIP	30	SP	5.01	19.8%	11.1%	4.0%	.333	5.03	15.8%	7.4%	182	+0.02	2.40	676	76
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	75
Zack Segovia R 2015 · 4.78 FIP	32	SP	4.78	15.0%	8.3%	3.4%	.314	3.33	20.2%	14.3%	39	-1.45	3.33	144	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	74
Hector Noesí R 2015 · 4.37 FIP	28	SP-	4.37	17.6%	8.1%	3.2%	.261	—	—	—	—	—	4.37	250	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
Aaron Wilkerson R 2019 · 4.67 FIP	30	SP-	4.67	20.9%	9.8%	3.8%	.291	3.33	24.6%	19.0%	112	-1.34	2.75	902	71
Reinier Roibal R 2019 · 4.91 FIP	30	SP	4.91	17.5%	11.8%	3.3%	.426	—	—	—	—	—	3.11	133	71
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
David Hale R 2018 · 4.22 FIP	30	SP-	4.22	15.4%	7.5%	2.7%	.299	3.65	17.1%	11.3%	114	-0.57	3.30	493	69
Mitch Atkins R 2016 · 3.65 FIP	30	SP-	3.65	21.4%	8.2%	2.4%	.341	4.77	14.3%	6.2%	78	+1.12	3.65	205	69
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	69
Hiram Burgos R 2017 · 4.94 FIP	29	SP	4.94	19.3%	7.5%	4.6%	.351	—	—	—	—	—	3.40	355	67
Tyler Cloyd R 2017 · 4.51 FIP	30	SP-	4.51	16.0%	6.8%	3.5%	.293	4.99	17.2%	9.8%	170	+0.48	3.89	250	67
Tim Adleman R 2017 · 5.35 FIP	29	SP-	5.35	20.3%	9.4%	5.1%	.276	4.30	22.8%	15.0%	117	-1.05	3.63	605	66
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	66
Kohei Arihara R 2022 · 4.58 FIP	29	SP-	4.58	16.4%	7.2%	3.5%	.333	—	—	—	—	—	4.58	135	66
Tim Lincecum R 2015 · 4.20 FIP	31	SP	4.20	18.0%	10.8%	2.3%	.296	5.02	17.4%	6.3%	89	+0.82	4.20	166	66
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	66

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	0.9	47	20.8%	11.7%	1.39	5.03
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Amir Garrett ('23)	1.5	51	25.8%	13.4%	1.50	5.10
Jacob Barnes ('24)	1.5	42	22.1%	9.6%	1.21	4.58
Roansy Contreras ('24)	1.2	77	19.5%	10.1%	1.36	4.78
Alex Young ('23)	1.3	52	19.5%	8.6%	1.61	4.43
Robert Stephenson ('23)	1.7	57	26.2%	9.9%	1.39	4.33