Glenn Otto Jr.

P Sugar Land Space Cowboys

Age 31 RHP 6'3" / 240 lbs AAA peak 0.5 · 2027

Overview

AAARP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	26	MIX2 levels	30	30	145	4.52	4.77	19.0%	10.4%	1.1	K 18.2% · BB 10.6% · FIP 4.73
2023	27	MIX2 levels	19	9	46	5.52	5.97	26.1%	15.5%	-0.7	K 23.2% · BB 14.2% · FIP 5.81
2024	28	MIX2 levels	13	5	16	7.71	5.49	26.9%	17.9%	—	K 24.8% · BB 15.3% · FIP 4.07
2025	29	No MLB games played
2026	30	No MLB games played
2027PROJ	31	MLBHOU	1	1	5	4.53	4.63	22.0%	10.1%	0.0
2028PROJ37% MLB	32	MLBHOU	3	3	17	4.74	4.88	21.2%	10.5%	0.1
2029PROJ55% MLB	33	MLBHOU	4	4	22	4.99	5.16	20.3%	11.0%	0.1

Last 3 seasons WAR 0.3 · Next 3 projected WAR 0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2023

K%46

FB Velo38

xwOBA vs10

CompsElian Leyva (age 30) · Zack Segovia (age 32) · Reinier Roibal (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 121113vR 105

ERA4.53

FIP4.63

K%22.0%

BB%10.1%

K-BB%11.8%

Proj IP51

Value2027 · WAR

Runs saved vs league avg · 51 IP

Grades · Statcast · Contract

Scouting Grades

STUF5050

CTRL4040

CMD4040

K†5050

Statcast Percentiles

FB Velo

p3893.7

Whiff%

p9033.3%

p4621.6%

xwOBA vs

p100.404

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)
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	+4.3
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	+5.2
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	+1.1
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	+1.1
2023	27	MIX MLE	2 levels	19	9	46	207	54	32	11	47%	2.4	23.2%	14.2%	9.0%	5.2%	5.52	5.81	-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	24.8%	15.3%	9.5%	2.1%	7.71	4.07	—
2024	28	MIX MLE	2 levels	13	5	16	78	21	14	3	38%	1.3	24.8%	15.3%	9.5%	2.1%	7.71	4.07	—
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	+0.9
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	31	MLB	HOU	1	1	5	21	5	2	1	100%	5.0	22.0%	10.1%	11.8%	3.1%	4.53	4.63	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	32	MLB MLE	HOU	8	8	47	200	42	21	7	100%	5.9	21.2%	10.5%	10.6%	3.4%	4.74	4.88	+0.3
2029	33	MLB MLE	HOU	7	7	40	167	34	18	6	100%	5.7	20.3%	11.0%	9.3%	3.7%	4.99	5.16	+0.1
2028	32	MLB CTX	HOU	3	3	17	72	15	8	2	100%	5.7	21.2%	10.5%	10.6%	3.4%	4.74	4.88	+0.1
2029	33	MLB CTX	HOU	4	4	22	93	19	10	3	100%	5.5	20.3%	11.0%	9.3%	3.7%	4.99	5.16	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		46	40	209	915	180	94	35	87%	4.5	19.7%	10.3%	9.4%	3.8%	5.48	4.83	+1.4
/ 200 IP	—	RAW		44	38	200	876	172	90	34	87%	4.6	19.7%	10.3%	9.4%	3.8%	5.48	4.83	+1.3
Career	—	MLE		106	84	401	1723	390	189	44	79%	3.8	22.6%	11.0%	11.6%	2.6%	4.47	4.00	+1.3
/ 200 IP	—	MLE		53	42	200	859	194	94	22	79%	3.8	22.6%	11.0%	11.6%	2.6%	4.47	4.00	+1.0

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.

2024 AAASugar Land Space Cowboys · 13 IPFIP 3.74 → 4.07 (+0.33)K% 28.8% → 24.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.81%	—	×0.860	24.78%
BB% (unintentional) /BF	16.95%	—	×0.900	15.25%
HR / BF /BF	1.69%	÷0.903	×1.100	2.06%

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 81).

Result: FIP 3.74 → 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).

2023 AAAEl Paso Chihuahuas · 35 IPFIP 4.64 → 4.84 (+0.19)K% 27.6% → 23.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.56%	—	×0.860	23.71%
BB% (unintentional) /BF	16.67%	—	×0.900	15.00%
HR / BF /BF	3.21%	÷1.052	×1.100	3.35%

Result: FIP 4.64 → 4.84, 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 AAARound Rock Express · 10 IPFIP 2.89 → 3.44 (+0.56)K% 30.0% → 26.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.00%	—	×0.880	26.40%
BB% (unintentional) /BF	7.50%	—	×1.050	7.88%
HR / BF /BF	2.50%	÷0.957	×1.100	2.87%

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 91).

Result: FIP 2.89 → 3.44, 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 AASomerset Patriots · 65 IPFIP 1.66 → 2.57 (+0.90)K% 40.7% → 33.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	40.71%	—	×0.810	32.98%
BB% (unintentional) /BF	5.53%	—	×1.100	6.09%
HR / BF /BF	2.37%	÷1.053	×1.200	2.70%

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 111).

Result: FIP 1.66 → 2.57, 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 AAARound Rock Express · 30 IPFIP 2.04 → 2.33 (+0.30)K% 24.4% → 21.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.41%	—	×0.880	21.48%
BB% (unintentional) /BF	7.87%	—	×1.050	8.27%
HR / BF /BF	0.00%	÷0.958	×1.100	0.00%

Result: FIP 2.04 → 2.33, 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+Tampa Tarpons · 56 IPFIP 2.69 → 3.55 (+0.86)K% 27.8% → 21.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.76%	—	×0.770	21.37%
BB% (unintentional) /BF	13.47%	—	×1.150	15.49%
HR / BF /BF	0.41%	÷0.960	×1.250	0.53%

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 92).

Result: FIP 2.69 → 3.55, 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 ROKGCL Yankees West · 5 IPFIP 2.47 → 3.75 (+1.29)K% 30.0% → 20.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.00%	—	×0.680	20.40%
BB% (unintentional) /BF	15.00%	—	×1.250	18.75%
HR / BF /BF	0.00%	÷1.000	×1.400	0.00%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. 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 2.47 → 3.75, 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).

2018 ACharleston RiverDogs · 10 IPFIP 4.79 → 6.27 (+1.48)K% 17.8% → 13.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.78%	—	×0.740	13.16%
BB% (unintentional) /BF	15.56%	—	×1.180	18.36%
HR / BF /BF	2.22%	÷0.811	×1.300	3.56%

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 62).

Result: FIP 4.79 → 6.27, 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
Glenn Otto Jr. (OGILVIE)	—	—	4.63	22.0%	10.1%	3.1%	—	5.01	20.8%	10.0%	87	+0.38	—	—	—
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	76
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
Reinier Roibal R 2019 · 4.91 FIP	30	SP	4.91	17.5%	11.8%	3.3%	.426	—	—	—	—	—	3.11	133	69
Kohei Arihara R 2022 · 4.58 FIP	29	SP-	4.58	16.4%	7.2%	3.5%	.333	—	—	—	—	—	4.58	135	66
Mitch Lively R 2017 · 3.47 FIP	31	SP-	3.47	17.0%	6.4%	1.8%	.304	—	—	—	—	—	2.39	158	66
Tyler Herron R 2017 · 4.02 FIP	30	SP	4.02	16.4%	8.7%	2.2%	.377	—	—	—	—	—	4.02	117	65
Hisashi Iwakuma R 2012 · 4.28 FIP	31	SP-	4.28	19.5%	7.7%	3.4%	.277	3.45	21.5%	17.8%	528	-0.83	3.19	884	64
Scott Copeland R 2019 · 5.62 FIP	31	SP-	5.62	17.1%	12.4%	4.4%	.311	—	—	—	—	—	3.55	569	64
Danny Gutierrez R 2017 · 4.11 FIP	30	SP	4.11	15.1%	6.1%	2.8%	.362	—	—	—	—	—	3.34	239	64
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	3.84	193	63
Mike Burns R 2009 · 4.90 FIP	31	SP-	4.90	17.2%	6.6%	4.4%	.307	—	—	—	—	—	3.10	104	62
André Rienzo R 2019 · 5.33 FIP	31	SP	5.33	17.9%	11.8%	4.1%	.337	—	—	—	—	—	3.53	321	62
Juan Delgadillo R 2015 · 4.54 FIP	32	SP	4.54	15.5%	7.2%	3.3%	.316	4.47	10.9%	4.7%	39	-0.07	4.47	143	61
Hector Galvan R 2019 · 4.84 FIP	31	SP-	4.84	14.3%	12.2%	2.6%	.357	—	—	—	—	—	3.59	406	61
Austin Bibens-Dirkx R 2016 · 4.92 FIP	31	SP-	4.92	14.9%	7.2%	4.0%	.277	5.19	16.3%	8.8%	259	+0.27	3.97	567	61
Edgar Alberto Garcia R 2017 · 4.01 FIP	29	SP-	4.01	17.3%	10.9%	1.8%	.305	—	—	—	—	—	4.01	272	61
Jorge Martinez R 2016 · 3.53 FIP	31	SP-	3.53	12.9%	5.3%	1.6%	.266	3.71	16.5%	11.5%	154	+0.18	3.53	214	61
Joe Biagini R 2021 · 4.80 FIP	31	SP	4.80	18.0%	10.6%	3.4%	.309	4.53	16.4%	6.6%	39	-0.27	2.66	624	60
Miguel Ruiz R 2017 · 5.60 FIP	31	SP	5.60	10.6%	11.0%	3.6%	.279	—	—	—	—	—	5.60	117	60
Elih Villanueva R 2017 · 5.48 FIP	31	SP	5.48	14.1%	6.0%	5.1%	.365	—	—	—	—	—	3.83	225	60

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	1.5	62	20.3%	10.3%	1.41	5.22
Phil Hennigan ('69-'73, -0 WAR*)	1.4	70	20.9%*	10.4%*	1.50*	4.95*
Steve Shields ('85-'89, -3 WAR*)	1.1	55	17.0%*	9.0%*	1.61*	5.49*
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
Collin Balester ('15)	1.0	50	17.4%	10.1%	1.75	5.47
Mike Wright Jr. ('21)	1.4	55	17.4%	8.8%	1.47	5.97
Buddy Carlyle ('15)	1.5	58	18.5%	8.5%	1.32	5.14