Jake Cousins

P Oklahoma City Comets

Age 33 RHP 6'4" / 195 lbs AAA peak 0.2 · 2027 ILInjured 60-Day (D60)

Overview

AAARPIL-6040-MAN

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	30	MIX2 levels	44	44	2.45	3.37	33.7%	12.7%	0.6	K 34.2% · BB 12.3% · FIP 3.42
2025	31	A+NYY	2	2	7.71	-0.33	36.4%	0.0%	—	K 36.4% · BB 0.0% · FIP 0.03
2026	32	AAALAD	6	4	10.38	4.72	20.0%	25.0%	—	K 20.0% · BB 25.0% · FIP 4.58
2027PROJ	33	MLBLAD	12	13	3.93	3.93	28.7%	9.5%	0.1
2028PROJ40% MLB	34	MLBLAD	16	17	4.15	4.28	27.3%	10.0%	0.1

Last 3 seasons WAR 0.6 · Next 2 projected WAR 0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2024

K%90

xwOBA vs67

FB Velo55

CompsSpencer Patton (age 33) · Joe Nelson (age 33) · Jim Henderson (age 33)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 10395vR 87

ERA3.93

FIP3.93

K%28.7%

BB%9.5%

K-BB%19.2%

Proj IP29

Value2027 · WAR

Runs saved vs league avg · 29 IP

Grades · Statcast · Contract

Scouting Grades

STUF7070

CTRL3030

CMD6565

K†6565

Statcast Percentiles

FB Velo

p5594.9

Whiff%

p9035.8%

p9034.2%

xwOBA vs

p670.295

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	23	ROK MLE	GCL Nationals	3	0	3	18	4	3	0	0%	1.0	22.2%	16.7%	5.6%	0.0%	3.00	3.33	—
2017	23	ROK RAW	GCL Nationals	3	0	3	18	4	3	0	0%	1.0	22.2%	16.7%	5.6%	0.0%	3.00	3.43	—
2018	24	ROK MLE	GCL Nationals	7	1	11	49	8	2	0	14%	1.6	16.3%	4.1%	12.2%	0.0%	4.09	2.24	—
2018	24	ROK RAW	GCL Nationals	7	1	11	49	8	2	0	14%	1.6	16.3%	4.1%	12.2%	0.0%	4.09	2.19	—
2019	25	MIX MLE	2 levels	14	0	28	102	39	2	0	0%	2.0	27.1%	2.3%	24.7%	0.0%	1.91	1.11	—
2019	25	MIX RAW	2 levels	14	0	28	102	39	2	0	0%	2.0	38.2%	2.0%	36.3%	0.0%	1.91	0.56	—
2021	27	MIX MLE	3 levels	47	1	49	201	74	23	5	2%	1.0	35.2%	14.4%	20.8%	2.3%	2.59	3.21	+0.8
2021	27	MIX RAW	3 levels	47	1	49	201	74	23	5	2%	1.0	36.8%	11.4%	25.4%	2.5%	2.59	2.81	+1.0
2022	28	MIX MLE	3 levels	34	0	37	159	54	18	3	0%	1.1	30.9%	11.9%	19.1%	2.1%	2.68	3.15	+0.6
2022	28	MIX RAW	3 levels	34	0	37	159	54	18	3	0%	1.1	34.0%	11.3%	22.6%	1.9%	2.68	2.69	+0.8
2023	29	MIX MLE	3 levels	38	0	38	176	50	28	5	0%	1.0	27.3%	11.4%	15.9%	3.9%	5.97	4.38	+0.1
2023	29	MIX RAW	3 levels	38	0	38	176	50	28	5	0%	1.0	28.4%	15.9%	12.5%	2.8%	5.97	4.40	+0.1
2024	30	MIX MLE	2 levels	44	0	44	181	61	23	5	0%	1.0	34.2%	12.3%	21.9%	3.0%	2.45	3.42	+0.6
2024	30	MIX MLE	2 levels	44	0	44	181	61	23	5	0%	1.0	34.2%	12.3%	21.9%	3.0%	2.45	3.42	+0.6
2024	30	MIX RAW	2 levels	44	0	44	181	61	23	5	0%	1.0	33.7%	12.7%	21.0%	2.8%	2.45	3.37	+0.6
2025	31	A+ MLE	Hudson Valley Renegades	2	0	2	11	4	0	0	0%	1.2	36.4%	0.0%	36.4%	0.0%	7.71	0.03	—
2025	31	A+ MLE	Hudson Valley Renegades	2	0	2	11	4	0	0	0%	1.2	36.4%	0.0%	36.4%	0.0%	7.71	0.03	—
2025	31	A+ RAW	Hudson Valley Renegades	2	0	2	11	4	0	0	0%	1.2	36.4%	0.0%	36.4%	0.0%	7.71	-0.33	—
2026	32	AAA MLE	Oklahoma City Comets	6	0	4	20	4	5	0	0%	0.7	20.0%	25.0%	-5.0%	0.0%	10.38	4.58	—
2026	32	AAA MLE	Oklahoma City Comets	6	0	4	20	4	5	0	0%	0.7	20.0%	25.0%	-5.0%	0.0%	10.38	4.58	—
2026	32	AAA RAW	Oklahoma City Comets	6	0	4	20	4	5	0	0%	0.7	20.0%	25.0%	-5.0%	0.0%	10.38	4.72	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			88	0	91	384	125	54	10	0%	1.0	32.6%	14.1%	18.5%	2.6%	2.78	3.56	+1.1
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	33	MLB	LAD	12	0	13	55	16	5	2	0%	1.1	28.7%	9.5%	19.2%	3.0%	3.93	3.93	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	34	MLB MLE	LAD	39	0	41	172	47	17	6	0%	1.0	27.3%	10.0%	17.3%	3.3%	4.15	4.28	+0.1
2028	34	MLB CTX	LAD	16	0	17	72	20	7	2	0%	1.1	27.3%	10.0%	17.3%	3.3%	4.15	4.28	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		104	0	107	454	144	61	12	0%	1.0	31.7%	13.4%	18.3%	2.7%	2.99	3.61	+1.2
/ 200 IP	—	RAW		194	0	200	847	269	114	22	0%	1.0	31.7%	13.4%	18.3%	2.7%	2.99	3.61	+2.2
Career	—	MLE		195	2	216	917	278	103	20	1%	1.1	30.3%	11.2%	19.1%	2.2%	3.37	3.17	+1.2
/ 200 IP	—	MLE		180	2	200	848	257	95	19	1%	1.1	30.3%	11.2%	19.1%	2.2%	3.37	3.17	+1.8

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.

2026 AAAOklahoma City Comets · 4 IPFIP 4.58 → 4.50 (−0.08)K% 20.0% → 17.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.00%	—	×0.860	17.20%
BB% (unintentional) /BF	25.00%	—	×0.900	22.50%
HR / BF /BF	0.00%	÷1.000	×1.100	0.00%

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 100).

Result: FIP 4.58 → 4.50, 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).

2024 AAAScranton/Wilkes-Barre RailRiders · 6 IPFIP 2.45 → 2.62 (+0.17)K% 30.8% → 26.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.77%	—	×0.860	26.46%
BB% (unintentional) /BF	15.38%	—	×0.900	13.85%
HR / BF /BF	0.00%	÷1.045	×1.100	0.00%

Result: FIP 2.45 → 2.62, 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 AAASugar Land Space Cowboys · 27 IPFIP 3.77 → 4.38 (+0.61)K% 31.7% → 27.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.75%	—	×0.860	27.30%
BB% (unintentional) /BF	12.70%	—	×0.900	11.43%
HR / BF /BF	3.17%	÷0.896	×1.100	3.90%

Result: FIP 3.77 → 4.38, 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 AAANashville Sounds · 23 IPFIP 2.97 → 3.55 (+0.58)K% 32.0% → 28.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.96%	—	×0.880	28.12%
BB% (unintentional) /BF	11.34%	—	×1.050	11.91%
HR / BF /BF	2.06%	÷0.946	×1.100	2.40%

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 89).

Result: FIP 2.97 → 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).

2021 AAANashville Sounds · 10 IPFIP 1.66 → 2.41 (+0.75)K% 42.1% → 37.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	42.11%	—	×0.880	37.05%
BB% (unintentional) /BF	5.26%	—	×1.050	5.53%
HR / BF /BF	2.63%	÷0.915	×1.100	3.16%

Result: FIP 1.66 → 2.41, 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 AABiloxi Shuckers · 9 IPFIP 2.43 → 3.54 (+1.11)K% 36.8% → 29.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	36.84%	—	×0.810	29.84%
BB% (unintentional) /BF	7.89%	—	×1.100	8.68%
HR / BF /BF	2.63%	÷0.929	×1.200	3.40%

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 86).

Result: FIP 2.43 → 3.54, 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 AWisconsin Timber Rattlers · 14 IPFIP 0.62 → 1.48 (+0.86)K% 35.3% → 26.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.29%	—	×0.740	26.12%
BB% (unintentional) /BF	3.92%	—	×1.180	4.63%
HR / BF /BF	0.00%	÷1.022	×1.300	0.00%

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 104).

Result: FIP 0.62 → 1.48, 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 ROKAZL Brewers Blue · 14 IPFIP -0.38 → 0.74 (+1.11)K% 41.2% → 28.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	41.18%	—	×0.680	28.00%
BB% (unintentional) /BF	0.00%	—	×1.250	0.00%
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 -0.38 → 0.74, 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
Jake Cousins (OGILVIE)	—	—	3.93	28.7%	9.5%	3.0%	—	4.28	27.3%	17.3%	41	+0.35	—	—	—
Spencer Patton R 2021 · 3.04 FIP	33	SU	3.04	27.9%	8.7%	2.2%	.305	4.97	21.2%	10.4%	88	+1.93	2.79	239	78
Joe Nelson R 2008 · 3.08 FIP	33	SU	3.08	26.1%	7.8%	2.2%	.252	5.35	19.8%	5.5%	40	+2.27	3.08	139	77
Jim Henderson R 2016 · 4.55 FIP	33	SU	4.55	25.8%	9.0%	4.5%	.287	—	—	—	—	—	1.86	167	77
Tony Barnette R 2017 · 3.56 FIP	33	SU	3.56	22.6%	7.1%	2.7%	.335	2.61	25.0%	20.2%	26	-0.95	2.61	144	72
Arcenio Leon R 2019 · 3.61 FIP	32	SU	3.61	21.4%	8.1%	2.4%	.314	—	—	—	—	—	3.00	115	70
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	70
Vinny Nittoli R 2024 · 3.96 FIP	33	SU	3.96	29.1%	8.5%	4.1%	.328	4.34	22.2%	14.6%	39	+0.38	3.66	331	69
Jay Jackson R 2021 · 4.14 FIP	33	SU	4.14	31.1%	13.3%	3.6%	.255	4.48	26.4%	20.6%	105	+0.34	2.36	261	69
Brendan Donnelly R 2004 · 3.05 FIP	33	SU	3.05	32.6%	8.7%	2.9%	.302	3.88	19.0%	11.8%	150	+0.83	2.23	385	68
Huascar Brazobán R 2023 · 3.52 FIP	33	SU	3.52	25.3%	11.3%	2.1%	.304	3.54	21.9%	11.8%	195	+0.02	3.08	370	67
Zack Segovia R 2016 · 3.33 FIP	33	SU	3.33	20.2%	5.9%	2.2%	.312	4.55	17.6%	4.0%	57	+1.22	3.33	144	67
Adrian Ramirez R 2019 · 4.29 FIP	31	SU	4.29	21.7%	6.3%	4.0%	.327	—	—	—	—	—	3.04	137	66
Hirokazu Sawamura R 2021 · 4.48 FIP	33	SU	4.48	26.2%	11.2%	4.0%	.263	4.02	18.1%	6.8%	51	-0.46	4.02	104	66
Jose Manuel Lopez R 2017 · 3.61 FIP	32	SU	3.61	20.4%	10.0%	1.8%	.331	6.14	17.9%	3.7%	41	+2.53	3.50	170	66
Akinori Otsuka R 2005 · 3.05 FIP	33	SU	3.05	21.7%	9.4%	1.1%	.278	2.59	19.4%	14.2%	92	-0.46	2.39	232	65
Marcos Mateo R 2015 · 3.12 FIP	31	SU	3.12	28.0%	8.0%	2.5%	.247	—	—	—	—	—	3.12	104	65
Neil Wagner R 2017 · 3.11 FIP	33	SU	3.11	20.7%	8.6%	1.2%	.257	—	—	—	—	—	3.11	135	65
Dale Thayer R 2014 · 3.56 FIP	33	SU	3.56	23.4%	4.9%	3.3%	.243	4.34	15.8%	8.8%	38	+0.78	2.75	239	64
Tommy Nance R 2024 · 3.51 FIP	33	SU	3.51	20.2%	5.8%	2.5%	.327	2.84	26.3%	19.5%	123	-0.67	2.08	360	64
Dustin Molleken R 2017 · 3.38 FIP	32	SU	3.38	24.3%	12.4%	1.4%	.311	—	—	—	—	—	3.38	129	63

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	0.8	41	30.5%	12.6%	1.11	3.35
Corey Knebel ('22)	1.5	51	31.7%	11.2%	1.00	3.26
Kevin Siegrist ('17)	1.2	49	27.9%	11.3%	0.92	3.04
Ryan Buchter ('21)	1.2	59	26.3%	11.7%	1.26	3.16
Victor Cruz ('78-'83, 5 WAR*)	1.4	54	35.3%*	11.5%*	1.30*	3.24*
Rod Scurry ('80-'88, 5 WAR*)	2.3	58	29.6%*	13.6%*	0.91*	3.67*
Alberto Reyes ('95-'08, 5 WAR*)	2.1	54	27.1%*	10.2%*	1.18*	3.66*