Jake Diekman — OGILVIE

Jake Diekman P New York Mets

Age 39 LHP 6'4" / 195 lbs MLB

2026 ROS PROJECTION0 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 108116vR 125

ERA4.56

FIP4.81

K%27.0%

BB%14.9%

K-BB%12.2%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 5 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF5555

CTRL2020

CMD4040

K†6565

Statcast Percentiles

FB Velo

p5294.7

Whiff%

p7228.7%

p7927.6%

xwOBA vs

p200.348

SL (29%)

FB-2.9 (61%)

CH-3.6 (10%)

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)
2015	28	MIX MLE	2 levels	73	0	65	286	76	32	5	0%	0.9	26.5%	11.9%	14.6%	1.8%	3.58	3.38	+0.9
2015	28	MIX RAW	2 levels	73	0	65	286	76	32	5	0%	0.9	26.6%	11.2%	15.4%	1.7%	3.58	3.24	+1.0
2016	29	MLB MLE	Texas Rangers	66	0	53	221	59	25	4	0%	0.8	26.7%	11.3%	15.4%	1.7%	3.40	3.23	+0.8
2016	29	MLB RAW	Texas Rangers	66	0	53	221	59	25	4	0%	0.8	26.7%	11.3%	15.4%	1.8%	3.40	3.27	+0.8
2017	30	MIX MLE	3 levels	17	1	17	67	21	9	1	6%	1.0	31.3%	13.4%	17.9%	1.5%	2.12	2.97	+0.3
2017	30	MIX RAW	3 levels	17	1	17	67	21	9	1	6%	1.0	31.3%	13.4%	17.9%	1.5%	2.12	2.98	+0.3
2018	31	MLB MLE	Arizona Diamondbacks	71	0	53	243	66	29	4	0%	0.8	27.2%	11.9%	15.2%	1.7%	4.72	3.27	+0.8
2018	31	MLB RAW	Arizona Diamondbacks	71	0	53	243	66	29	4	0%	0.8	27.2%	11.9%	15.2%	1.6%	4.72	3.23	+0.8
2019	32	MLB MLE	Oakland Athletics	76	0	62	282	84	38	3	0%	0.8	29.8%	13.5%	16.3%	1.2%	4.65	2.93	+1.2
2019	32	MLB RAW	Oakland Athletics	76	0	62	282	84	38	3	0%	0.8	29.8%	13.5%	16.3%	1.1%	4.65	2.86	+1.3
2020	33	MLB MLE	Oakland Athletics	21	0	21	84	31	11	1	0%	1.0	36.9%	13.1%	23.8%	1.3%	0.42	2.36	+0.6
2020	33	MLB RAW	Oakland Athletics	21	0	21	84	31	11	1	0%	1.0	36.9%	13.1%	23.8%	1.2%	0.42	2.35	+0.6
2021	34	MLB MLE	Oakland Athletics	67	0	61	262	83	32	10	0%	0.9	31.7%	12.2%	19.5%	4.2%	3.86	4.27	+0.2
2021	34	MLB RAW	Oakland Athletics	67	0	61	262	83	32	10	0%	0.9	31.7%	12.2%	19.5%	3.8%	3.86	4.09	+0.3
2022	35	MLB MLE	Chicago White Sox	70	0	58	269	79	40	9	0%	0.8	29.4%	14.9%	14.5%	3.3%	4.99	4.31	+0.2
2022	35	MLB RAW	Chicago White Sox	70	0	58	269	79	40	9	0%	0.8	29.4%	14.9%	14.5%	3.3%	4.99	4.47	+0.1
2023	36	MLB MLE	Tampa Bay Rays	63	0	57	243	64	37	3	0%	0.9	26.3%	15.2%	11.1%	1.3%	3.34	3.50	+0.7
2023	36	MLB MLE	Tampa Bay Rays	63	0	57	243	64	37	3	0%	0.9	26.3%	15.2%	11.1%	1.3%	3.34	3.50	+0.7
2023	36	MLB RAW	Tampa Bay Rays	63	0	57	243	64	37	3	0%	0.9	26.3%	15.2%	11.1%	1.2%	3.34	3.49	+0.7
2024	37	MLB MLE	New York Mets	43	0	32	145	40	24	7	0%	0.7	27.6%	16.6%	11.0%	4.8%	5.62	5.52	-0.4
2024	37	MLB MLE	New York Mets	43	0	32	145	40	24	7	0%	0.7	27.6%	16.6%	11.0%	4.8%	5.62	5.52	-0.4
2024	37	MLB RAW	New York Mets	43	0	32	145	40	24	7	0%	0.7	27.6%	16.6%	11.0%	4.8%	5.62	5.69	-0.4
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			555	0	466	2054	588	276	47	0%	0.8	28.6%	13.4%	15.2%	2.3%	4.04	3.66	+4.9
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	39	MLB	NYM	5	0	5	21	6	3	1	0%	1.0	27.0%	14.9%	12.2%	3.2%	4.56	4.81	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	40	MLB MLE	NYM	44	0	46	195	50	30	7	0%	1.0	25.9%	15.6%	10.3%	3.6%	4.97	5.24	-0.4
2027	40	MLB CTX	NYM	44	0	46	194	50	30	7	0%	1.0	25.9%	15.6%	10.3%	3.6%	4.97	5.24	-0.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		599	0	512	2249	638	306	54	0%	0.9	28.4%	13.6%	14.8%	2.4%	4.12	3.75	+4.9
/ 200 IP	—	RAW		234	0	200	879	249	120	21	0%	0.9	28.4%	13.6%	14.8%	2.4%	4.12	3.75	+1.9
Career	—	MLE		567	1	479	2102	603	279	49	0%	0.8	28.7%	13.3%	15.4%	2.3%	3.95	3.63	+4.5
/ 200 IP	—	MLE		237	0	200	878	252	117	20	0%	0.8	28.7%	13.3%	15.4%	2.3%	3.95	3.63	+1.8

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 Diekman (OGILVIE)	—	—	4.81	27.0%	14.9%	3.2%	—	5.24	25.9%	10.3%	46	+0.43	—	—	—
Joaquín Benoit R 2016 · 3.72 FIP	39	SU	3.72	25.5%	11.3%	2.5%	.258	4.48	21.6%	11.7%	50	+0.76	3.58	164	40
Jason Grilli R 2016 · 4.13 FIP	39	SU	4.13	32.3%	12.4%	4.0%	.264	5.58	26.1%	16.3%	40	+1.45	2.05	133	36
Horacio Ramirez L 2019 · 4.65 FIP	39	SU	4.65	5.7%	6.0%	2.3%	.233	—	—	—	—	—	3.39	199	34
Daniel Bard R 2023 · 4.95 FIP	38	SU	4.95	20.3%	19.8%	1.9%	.224	—	—	—	—	—	2.56	200	33
Santiago Casilla R 2018 · 4.14 FIP	38	SU	4.14	16.8%	15.2%	1.0%	.248	—	—	—	—	—	3.50	219	30
Peter Moylan R 2018 · 4.77 FIP	39	SU	4.77	17.8%	11.6%	3.1%	.322	—	—	—	—	—	3.11	174	29
Juan Sandoval R 2019 · 5.41 FIP	38	SU	5.41	15.9%	7.2%	5.0%	.273	—	—	—	—	—	3.24	225	28
Luis Ayala R 2017 · 4.00 FIP	39	SU	4.00	15.9%	11.7%	1.4%	.340	—	—	—	—	—	3.03	119	27
Matt Belisle R 2018 · 4.60 FIP	38	SU	4.60	15.4%	6.2%	3.7%	.355	—	—	—	—	—	2.51	174	23
Brad Ziegler R 2018 · 4.03 FIP	38	SU	4.03	16.4%	6.2%	2.8%	.276	—	—	—	—	—	2.63	257	14
Chris Young R 2017 · 5.68 FIP	38	SU	5.68	14.9%	8.1%	5.1%	.374	—	—	—	—	—	4.69	242	13
Ryan Vogelsong R 2016 · 4.79 FIP	39	SP-	4.79	16.7%	10.4%	3.2%	.270	—	—	—	—	—	4.45	217	5
Logan Duran R 2019 · 3.66 FIP	37	SP-	3.66	15.5%	8.9%	1.4%	.427	—	—	—	—	—	3.42	187	4

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	0.5	50	26.5%	15.2%	1.30	4.75
Amir Garrett ('23)	1.5	51	25.8%	13.4%	1.50	5.10
Daniel Bard ('23)	1.0	50	25.1%	13.5%	0.81	3.82
Lucas Sims ('24)	1.4	47	27.6%	11.6%	1.24	4.22
Michael Kopech ('24)	1.9	96	26.1%	12.5%	1.45	4.15
José Cisnero ('23)	1.1	42	24.8%	11.3%	0.94	3.84
Keegan Thompson ('24)	1.1	57	23.0%	11.3%	1.19	3.64