Cooper Criswell — OGILVIE

Cooper Criswell P Seattle Mariners

Age 30 RHP 6'6" / 200 lbs MLB

2026 ROS PROJECTION38 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 111103vR 95

ERA3.88

FIP4.10

K%16.1%

BB%7.1%

K-BB%9.1%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 43 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF3535

CTRL5555

CMD4040

K†3030

Statcast Percentiles

FB Velo

p1090.9

Whiff%

p2321.5%

p2819.0%

xwOBA vs

p760.287

FB+1.2 (34%)

SL+0.8 (20%)

CH (26%)

SI (27%)

CT (21%)

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)
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	+1.5
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	+2.3
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	+1.5
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	+1.8
2023	27	MIX MLE	2 levels	33	17	118	521	107	33	14	52%	3.6	17.9%	5.9%	12.0%	2.7%	4.44	3.80	+1.5
2023	27	MIX MLE	2 levels	33	17	118	521	107	33	14	52%	3.6	17.9%	5.9%	12.0%	2.7%	4.44	3.80	+1.5
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	+1.7
2024	28	MIX MLE	2 levels	31	23	125	532	96	39	10	74%	4.0	17.3%	7.2%	10.1%	1.9%	3.53	3.61	+2.0
2024	28	MIX MLE	2 levels	31	23	125	532	96	39	10	74%	4.0	17.3%	7.2%	10.1%	1.9%	3.53	3.61	+2.0
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	+2.1
2025	29	MIX MLE	2 levels	23	15	83	357	77	33	9	65%	3.6	18.3%	8.5%	9.9%	2.7%	3.67	4.13	+0.8
2025	29	MIX MLE	2 levels	23	15	83	357	77	33	9	65%	3.6	18.3%	8.5%	9.9%	2.7%	3.67	4.13	+0.8
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	+1.1
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			76	21	190	820	140	54	22	28%	2.5	17.1%	6.6%	10.5%	2.7%	4.27	3.99	+1.3
▸ 2026 season
YTD	30	MLB MLE	Seattle Mariners	34	0	38	153	30	8	4	0%	1.1	19.0%	4.9%	14.1%	2.2%	3.82	3.31	+0.6
YTD	30	MLB MLE	Seattle Mariners	34	0	38	153	30	8	4	0%	1.1	19.0%	4.9%	14.1%	2.2%	3.82	3.31	+0.6
▸ 2026 season — so far · projected rest · full
2026	30	AAA RAW	SEA	3	0	3	11	3	1	1	0%	0.9	27.3%	9.1%	18.2%	9.1%	10.12	6.94	—
2026	30	MLB RAW	SEA	31	0	35	142	27	7	3	0%	1.1	19.0%	4.9%	14.1%	2.1%	3.34	3.28	+0.5
SO FAR	30	MLB RAW	SEA	31	0	35	142	27	7	3	0%	1.1	19.0%	4.9%	14.1%	2.1%	3.34	3.28	+0.5
ROS	30	MLB MLE	SEA	5	0	5	21	3	1	1	0%	1.0	16.1%	7.1%	9.1%	2.7%	3.88	4.10	+0.0
ROS	30	MLB CTX	SEA	5	0	5	21	3	1	1	0%	1.0	16.1%	7.1%	9.1%	2.7%	3.88	4.10	+0.0
2026 TOT	30	MLB MLE	SEA	—	—	43	174	33	9	5	—	—	19.2%	5.4%	13.8%	2.6%	3.83	3.40	+0.6
FULL	30	MLB A+C	SEA	—	—	40	168	33	9	5	—	—	19.8%	5.6%	14.2%	2.7%	4.09	3.62	+0.6
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	SEA	51	0	54	228	34	17	6	0%	1.1	14.9%	7.4%	7.4%	2.8%	4.52	4.70	-0.1
2028	32	MLB MLE	SEA	48	0	50	211	30	17	6	0%	1.0	14.1%	7.8%	6.2%	3.0%	4.78	4.96	-0.2
2027	31	MLB CTX	SEA	49	0	51	215	32	16	6	0%	1.0	14.9%	7.4%	7.4%	2.8%	4.52	4.70	-0.1
2028	32	MLB CTX	SEA	45	0	47	198	28	16	6	0%	1.0	14.1%	7.8%	6.2%	3.0%	4.78	4.96	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		175	21	293	1257	204	87	35	12%	1.7	16.2%	6.9%	9.3%	2.8%	4.39	4.13	+1.5
/ 200 IP	—	RAW		119	14	200	858	139	59	24	12%	1.7	16.2%	6.9%	9.3%	2.8%	4.39	4.13	+1.0
Career	—	MLE		186	108	658	2820	524	179	73	58%	3.5	18.6%	6.4%	12.2%	2.6%	4.21	3.76	+2.2
/ 200 IP	—	MLE		57	33	200	858	159	54	22	58%	3.5	18.6%	6.4%	12.2%	2.6%	4.21	3.76	+1.5

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
Cooper Criswell (OGILVIE)	—	—	4.79	14.0%	8.0%	2.7%	—	4.82	14.5%	6.9%	104	+0.03	—	—	—
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	69
Mike Bolsinger R 2017 · 4.26 FIP	29	SW	4.26	20.2%	9.4%	3.0%	.317	—	—	—	—	—	3.42	327	67
Josh Lindblom R 2017 · 3.91 FIP	30	SW	3.91	18.7%	5.5%	3.1%	.333	3.50	27.2%	18.8%	45	-0.41	3.50	348	66
Steve Johnson R 2017 · 4.53 FIP	29	SW	4.53	20.3%	8.9%	3.7%	.321	—	—	—	—	—	2.22	152	66
Eder Llamas R 2016 · 4.12 FIP	30	SW	4.12	11.4%	6.8%	2.0%	.301	3.23	11.3%	4.6%	64	-0.89	3.23	171	65
Josh Collmenter R 2016 · 4.71 FIP	30	SW	4.71	16.8%	10.0%	3.2%	.250	5.32	21.3%	15.9%	37	+0.61	4.55	223	65
Paul Clemens R 2017 · 4.72 FIP	29	SW	4.72	14.9%	11.0%	2.7%	.264	—	—	—	—	—	4.58	247	64
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	63
A.J. Morris R 2016 · 4.60 FIP	29	SW	4.60	16.9%	6.9%	3.7%	.345	—	—	—	—	—	3.02	123	63
Rodolfo Aguirre R 2015 · 4.29 FIP	30	SW	4.29	12.4%	6.9%	2.5%	.288	4.81	11.4%	1.3%	125	+0.52	3.39	212	62
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	62
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	62
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	61
Lisalverto Bonilla R 2019 · 4.70 FIP	29	SP-	4.70	15.8%	12.6%	2.5%	.265	—	—	—	—	—	3.22	221	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	60
Edgar Alberto Garcia R 2017 · 4.01 FIP	29	SP-	4.01	17.3%	10.9%	1.8%	.305	—	—	—	—	—	4.01	272	60
Alfonso Sanchez R 2017 · 4.51 FIP	29	SW	4.51	12.5%	9.8%	2.2%	.346	7.58	8.6%	1.4%	39	+3.07	4.51	224	59
Bud Norris R 2015 · 4.68 FIP	30	SW	4.68	18.8%	8.2%	3.9%	.327	3.78	24.2%	15.5%	233	-0.90	3.51	316	59
Murphy Smith R 2018 · 4.57 FIP	30	SW	4.57	13.6%	9.3%	2.6%	.273	—	—	—	—	—	3.16	300	59
Chris Leroux R 2015 · 4.20 FIP	31	SU	4.20	15.2%	8.6%	2.4%	.279	4.08	13.5%	5.5%	140	-0.12	4.08	219	58

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	0.8	54	14.3%	7.7%	1.10	4.62
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Robert Gsellman ('21)	1.7	67	18.4%	7.8%	0.96	4.38
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Austin Pruitt ('23)	1.5	61	16.9%	5.6%	1.22	4.45
Josh Fleming ('24)	1.3	51	14.6%	7.5%	1.17	4.77
Jarlín García ('22)	1.5	61	19.6%	7.8%	1.33	3.79