Cooper Criswell

P Seattle Mariners

Age 31 RHP 6'6" / 200 lbs MLB

Overview

MLBRP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	28	MIX2 levels	31	23	125	3.53	3.54	18.0%	7.3%	2.8	K 17.4% · BB 7.2% · FIP 3.60
2025	29	MIX2 levels	23	15	83	3.67	3.84	21.6%	9.2%	1.5	K 18.9% · BB 8.5% · FIP 4.08
2026	30	MIX2 levels	40	0	43	3.74	3.70	18.6%	7.7%	0.4	K 18.0% · BB 7.6% · FIP 3.52
2027PROJ	31	MLBSEA	30	0	32	4.36	4.69	14.7%	8.2%	-0.1
2028PROJ95% MLB	32	MLBSEA	16	0	17	4.71	4.95	13.9%	8.6%	-0.1
2029PROJ95% MLB	33	MLBSEA	10	0	10	5.02	5.23	13.0%	9.0%	-0.1

Last 3 seasons WAR 4.8 · Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

xwOBA vs61

K%21

FB Velo10

CompsTodd Redmond (age 30) · Jared Fernandez (age 31) · Samuel Deduno (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 114106vR 98

ERA4.36

FIP4.69

K%14.7%

BB%8.2%

K-BB%6.5%

Proj IP32

Value2027 · WAR

Runs saved vs league avg · 32 IP

Grades · Statcast · Contract

Scouting Grades

STUF3535

CTRL5555

CMD4040

K†3030

Statcast Percentiles

FB Velo

p1090.6

Whiff%

p1720.7%

p2118.0%

xwOBA vs

p610.301

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)
2019	23	A+ MLE	Inland Empire 66ers	25	21	117	512	111	35	10	84%	4.7	16.7%	7.9%	8.8%	2.6%	4.60	4.11	—
2019	23	A+ RAW	Inland Empire 66ers	25	21	117	512	111	35	10	84%	4.7	21.7%	6.8%	14.8%	2.0%	4.60	3.21	—
2021	25	MIX MLE	3 levels	22	22	119	512	128	20	17	100%	5.4	21.3%	4.3%	17.0%	3.7%	5.01	3.85	+2.2
2021	25	MIX RAW	3 levels	22	22	119	512	128	20	17	100%	5.4	25.0%	3.9%	21.1%	3.3%	5.01	3.31	+3.1
2022	26	MIX MLE	4 levels	18	10	58	233	61	11	4	56%	3.2	21.3%	4.5%	16.8%	1.6%	3.88	2.76	+1.9
2022	26	MIX RAW	4 levels	18	10	58	233	61	11	4	56%	3.2	26.2%	4.7%	21.5%	1.7%	3.88	2.46	+2.1
2023	27	MIX MLE	2 levels	33	17	118	521	107	33	14	52%	3.6	18.4%	5.9%	12.5%	2.7%	4.44	3.76	+2.3
2023	27	MIX RAW	2 levels	33	17	118	521	107	33	14	52%	3.6	20.5%	6.3%	14.2%	2.7%	4.44	3.67	+2.4
2024	28	MIX MLE	2 levels	31	23	125	532	96	39	10	74%	4.0	17.4%	7.2%	10.3%	1.9%	3.53	3.60	+2.7
2024	28	MIX MLE	2 levels	31	23	125	532	96	39	10	74%	4.0	17.4%	7.2%	10.3%	1.9%	3.53	3.60	+2.7
2024	28	MIX RAW	2 levels	31	23	125	532	96	39	10	74%	4.0	18.0%	7.3%	10.7%	1.9%	3.53	3.54	+2.8
2025	29	MIX MLE	2 levels	23	15	83	357	77	33	9	65%	3.6	18.9%	8.5%	10.4%	2.7%	3.67	4.08	+1.3
2025	29	MIX MLE	2 levels	23	15	83	357	77	33	9	65%	3.6	18.9%	8.5%	10.4%	2.7%	3.67	4.08	+1.3
2025	29	MIX RAW	2 levels	23	15	83	357	77	33	9	65%	3.6	21.6%	9.2%	12.3%	2.5%	3.67	3.84	+1.5
2026	30	MIX MLE	2 levels	40	0	43	183	34	14	4	0%	1.1	18.0%	7.6%	10.5%	1.8%	3.74	3.52	+0.5
2026	30	MIX MLE	2 levels	40	0	43	183	34	14	4	0%	1.1	18.0%	7.6%	10.5%	1.8%	3.74	3.52	+0.5
2026	30	MIX RAW	2 levels	40	0	43	183	34	14	4	0%	1.1	18.6%	7.7%	10.9%	2.2%	3.74	3.70	+0.4
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			82	21	195	850	144	60	22	26%	2.4	16.9%	7.1%	9.9%	2.6%	4.24	4.01	+1.2
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	31	MLB	SEA	30	0	32	135	20	11	3	0%	1.1	14.7%	8.2%	6.5%	2.6%	4.36	4.69	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	32	MLB MLE	SEA	17	0	18	77	11	7	2	0%	1.1	13.9%	8.6%	5.3%	2.8%	4.71	4.95	-0.1
2029	33	MLB MLE	SEA	10	0	10	42	6	4	1	0%	1.0	13.0%	9.0%	4.0%	3.1%	5.02	5.23	-0.1
2030	34	MLB MLE	SEA	5	0	6	24	3	2	1	0%	1.1	12.1%	9.5%	2.6%	3.4%	5.33	5.53	-0.1
2028	32	MLB CTX	SEA	16	0	17	72	10	6	2	0%	1.1	13.9%	8.6%	5.3%	2.8%	4.71	4.95	-0.1
2029	33	MLB CTX	SEA	10	0	10	42	6	4	1	0%	1.0	13.0%	9.0%	4.0%	3.1%	5.02	5.23	-0.1
2030	34	MLB CTX	SEA	5	0	5	21	3	2	1	0%	1.0	12.1%	9.5%	2.6%	3.4%	5.33	5.53	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		112	21	227	985	162	72	26	19%	2.0	16.5%	7.3%	9.1%	2.6%	4.33	4.09	+1.2
/ 200 IP	—	RAW		99	18	200	867	143	63	23	19%	2.0	16.5%	7.3%	9.1%	2.6%	4.33	4.09	+1.1
Career	—	MLE		192	108	663	2850	533	185	73	56%	3.5	18.7%	6.5%	12.2%	2.6%	4.21	3.75	+3.3
/ 200 IP	—	MLE		58	33	200	859	161	56	22	56%	3.5	18.7%	6.5%	12.2%	2.6%	4.21	3.75	+2.9

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.

2025 AAAWorcester Red Sox · 66 IPFIP 3.50 → 3.80 (+0.30)K% 24.5% → 21.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.55%	—	×0.860	21.11%
BB% (unintentional) /BF	10.11%	—	×0.900	9.10%
HR / BF /BF	2.17%	÷0.984	×1.100	2.42%

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 97).

Result: FIP 3.50 → 3.80, 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 AAAWorcester Red Sox · 26 IPFIP 2.24 → 2.40 (+0.16)K% 21.3% → 18.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.30%	—	×0.860	18.31%
BB% (unintentional) /BF	7.41%	—	×0.900	6.67%
HR / BF /BF	0.00%	÷0.996	×1.100	0.00%

Result: FIP 2.24 → 2.40, 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 AAADurham Bulls · 85 IPFIP 3.25 → 3.39 (+0.14)K% 21.6% → 18.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.62%	—	×0.860	18.59%
BB% (unintentional) /BF	6.22%	—	×0.900	5.59%
HR / BF /BF	2.16%	÷1.137	×1.100	2.09%

Result: FIP 3.25 → 3.39, 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 AAADurham Bulls · 37 IPFIP 2.84 → 3.17 (+0.33)K% 22.8% → 20.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.76%	—	×0.880	20.03%
BB% (unintentional) /BF	4.14%	—	×1.050	4.34%
HR / BF /BF	2.07%	÷1.034	×1.100	2.20%

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 107).

Result: FIP 2.84 → 3.17, 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 ROKACL Angels · 13 IPFIP 0.50 → 1.61 (+1.11)K% 36.5% → 24.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	36.54%	—	×0.680	24.85%
BB% (unintentional) /BF	3.85%	—	×1.250	4.81%
HR / BF /BF	0.00%	÷0.943	×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 89).

Result: FIP 0.50 → 1.61, 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 AARocket City Trash Pandas · 5 IPFIP 4.75 → 5.36 (+0.60)K% 21.7% → 17.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.74%	—	×0.810	17.61%
BB% (unintentional) /BF	8.70%	—	×1.100	9.57%
HR / BF /BF	4.35%	÷1.131	×1.200	4.61%

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 126).

Result: FIP 4.75 → 5.36, 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 AARocket City Trash Pandas · 70 IPFIP 2.68 → 3.12 (+0.44)K% 29.2% → 23.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.21%	—	×0.810	23.66%
BB% (unintentional) /BF	2.75%	—	×1.100	3.02%
HR / BF /BF	3.09%	÷1.249	×1.200	2.97%

Result: FIP 2.68 → 3.12, 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 AAASalt Lake Bees · 47 IPFIP 4.18 → 4.87 (+0.69)K% 20.4% → 17.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.38%	—	×0.880	17.93%
BB% (unintentional) /BF	5.69%	—	×1.050	5.97%
HR / BF /BF	3.79%	÷0.907	×1.100	4.60%

Result: FIP 4.18 → 4.87, 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
Cooper Criswell (OGILVIE)	—	—	4.69	14.7%	8.2%	2.6%	—	5.05	13.6%	4.9%	28	+0.36	—	—	—
Todd Redmond R 2015 · 3.86 FIP	30	SW	3.86	15.4%	7.1%	2.1%	.311	—	—	—	—	—	3.21	247	72
Jared Fernandez R 2003 · 3.57 FIP	31	SP-	3.57	11.8%	6.2%	1.2%	.269	—	—	—	—	—	3.57	101	70
Samuel Deduno R 2014 · 3.92 FIP	31	SW	3.92	18.7%	9.9%	2.1%	.287	3.84	19.8%	12.3%	39	-0.08	2.99	327	69
Wes Obermueller R 2007 · 4.83 FIP	30	SW	4.83	12.6%	11.2%	2.5%	.317	—	—	—	—	—	4.72	308	67
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	65
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	65
Juan Omar Espinoza R 2015 · 4.81 FIP	31	SP-	4.81	8.9%	6.6%	3.0%	.346	4.84	8.4%	-0.8%	52	+0.03	4.81	104	65
Yoanner Negrin R 2015 · 3.79 FIP	31	SW	3.79	15.1%	7.5%	1.9%	.256	3.29	15.0%	8.5%	270	-0.50	3.15	485	64
Paolo Espino R 2018 · 4.51 FIP	31	SW	4.51	18.7%	9.6%	3.2%	.348	4.42	20.4%	14.7%	202	-0.09	3.42	933	63
Luke Hudson R 2006 · 3.81 FIP	29	SP-	3.81	14.5%	8.4%	1.6%	.307	—	—	—	—	—	3.81	235	62
A.J. Morris R 2016 · 4.60 FIP	29	SW	4.60	16.9%	6.9%	3.7%	.345	—	—	—	—	—	3.02	123	61
Marco Antonio Duarte R 2019 · 5.03 FIP	32	SW	5.03	12.2%	9.1%	3.3%	.420	—	—	—	—	—	4.07	203	61
Francisco Cordova R 2015 · 5.51 FIP	31	SW	5.51	6.4%	4.6%	4.3%	.261	4.59	7.1%	-0.6%	83	-0.92	4.59	115	61
Josh A. Smith R 2019 · 4.65 FIP	31	SW	4.65	20.8%	6.4%	4.5%	.341	3.67	17.4%	8.6%	59	-0.98	2.91	598	61
Murphy Smith R 2018 · 4.57 FIP	30	SW	4.57	13.6%	9.3%	2.6%	.273	—	—	—	—	—	3.16	300	61
Edgar Alberto Garcia R 2017 · 4.01 FIP	29	SP-	4.01	17.3%	10.9%	1.8%	.305	—	—	—	—	—	4.01	272	61
Jose A. Flores R 2018 · 4.77 FIP	29	SP-	4.77	13.7%	10.3%	2.8%	.350	—	—	—	—	—	2.94	237	60
Scott McGregor R 2015 · 4.37 FIP	28	SP-	4.37	11.8%	7.6%	2.4%	.293	—	—	—	—	—	4.37	107	60
Chris Jakubauskas R 2009 · 4.97 FIP	30	SW	4.97	12.1%	6.2%	3.9%	.250	4.42	15.7%	7.8%	72	-0.55	4.42	165	60
Marco Carrillo R 2017 · 5.33 FIP	30	SW	5.33	11.1%	7.4%	4.1%	.278	6.08	9.9%	0.8%	104	+0.75	5.33	194	59

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	1.3	37	16.2%	7.8%	1.02	4.34
Matt Wise ('08)	1.6	53	18.1%	7.9%	1.14	4.23
John Morris ('66-'74, -0 WAR*)	1.2	58	18.3%*	8.2%*	1.00*	4.74*
Jerry Reed ('81-'90, 3 WAR*)	2.4	60	16.6%*	8.2%*	1.08*	3.97*
Josh Outman ('14)	1.4	46	19.0%	9.7%	0.92	4.43
Adrian Devine ('73-'80, 2 WAR*)	1.9	65	16.7%*	7.8%*	1.12*	4.45*
Donne Wall ('02)	2.4	59	16.1%	7.7%	1.18	4.20