Jake Diekman P New York Mets
Age 39 LHP 6'4" / 195 lbs MLB
2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 53 proj IP
wRC+ AGAINSTvL 109119vR 128
ERA4.57
FIP4.81
K%27.0%
BB%14.9%
K-BB%12.2%
ROS IP54
Value2026 · WAR
Runs saved vs league avg · 53 IP
K: +1.7 runs (Runs saved by strikeouts vs lg-avg K%)+2KBB: -3.6 runs (Runs saved by walk suppression vs lg-avg BB%)-4BBCONTACT: -1.8 runs (Runs saved on contact quality (HR suppression) vs lg)-2CONTACTSTAM: +2.2 runs (Replacement credit for innings volume)+2STAMTotal WAR: -0.16 (53 IP)-0.2WAR
0.0-0.22627
Grades · Statcast · Arsenal · Contract
Scouting Grades
STUF5555
CTRL2020
CMD4040
K†6565
Statcast Percentiles
FB Velo
p5294.7
Whiff%
p7228.7%
K%
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

Viewactual = stats as recorded (seasons combined) + projected real-world MLB lines · MLE = level/park-neutral translations
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.

YearAge LvlTeam GGSIPBF KBBHR GS%IP/G K%BB%K-BB%HR% ERAFIP WAR
201528MIX2 levels73065286763250%0.926.5%11.9%14.6%1.9%3.583.40+1.0
201528MIX2 levels73065286763250%0.926.6%11.2%15.4%1.7%3.583.24+1.1
201629MLBTexas Rangers66053221592540%0.826.7%11.3%15.4%1.8%3.403.25+0.8
201629MLBTexas Rangers66053221592540%0.826.7%11.3%15.4%1.8%3.403.27+0.8
201730MIX3 levels171176721916%1.031.3%13.4%17.9%1.5%2.122.97+0.3
201730MIX3 levels171176721916%1.031.3%13.4%17.9%1.5%2.122.98+0.3
201831MLBArizona Diamondbacks71053243662940%0.827.2%11.9%15.2%1.6%4.723.18+0.9
201831MLBArizona Diamondbacks71053243662940%0.827.2%11.9%15.2%1.6%4.723.23+0.8
201932MLBOakland Athletics76062282843830%0.829.8%13.5%16.3%1.1%4.652.90+1.2
201932MLBOakland Athletics76062282843830%0.829.8%13.5%16.3%1.1%4.652.86+1.3
202033MLBOakland Athletics2102184311110%1.036.9%13.1%23.8%1.2%0.422.33+0.6
202033MLBOakland Athletics2102184311110%1.036.9%13.1%23.8%1.2%0.422.35+0.5
202134MLBOakland Athletics670612628332100%0.931.7%12.2%19.5%4.0%3.864.17+0.3
202134MLBOakland Athletics670612628332100%0.931.7%12.2%19.5%3.8%3.864.09+0.3
202235MLBChicago White Sox70058269794090%0.829.4%14.9%14.5%3.2%4.994.28+0.2
202235MLBChicago White Sox70058269794090%0.829.4%14.9%14.5%3.3%4.994.47+0.1
202336MLBTampa Bay Rays63057243643730%0.926.3%15.2%11.1%1.3%3.343.52+0.7
202336MLBTampa Bay Rays63057243643730%0.926.3%15.2%11.1%1.2%3.343.49+0.7
202437MLBNew York Mets43032145402470%0.727.6%16.6%11.0%4.9%5.625.53-0.4
202437MLBNew York Mets43032145402470%0.727.6%16.6%11.0%4.8%5.625.69-0.4
▸ 2026 Season
202639MLBNYM51054226613470%1.127.0%14.9%12.2%3.2%4.574.81-0.2
▸ 2027+ Projections   WITH CONTEXT · MLB TIME ONLY ⓘ
202740MLBNYM44046195503070%1.025.9%15.6%10.3%3.6%4.985.25-0.4
202740MLBNYM44046194503070%1.025.9%15.6%10.3%3.6%4.985.25-0.4
▸ Career (MLB actual + context projections)
Career59905122249638306540%0.928.4%13.6%14.8%2.4%4.123.75+9.9
/ 200 IP2340200879249120210%0.928.4%13.6%14.8%2.4%4.123.75+3.9
Career56714792102603279480%0.828.7%13.3%15.4%2.3%3.953.60+10.1
/ 200 IP2370200878252117200%0.828.7%13.3%15.4%2.3%3.953.60+4.2

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
CompAgeRole FIPK%BB%HR/BFBABIP FIPK%K-BB%IP ΔFIPLow FIPIPMatch
Jake Diekman (OGILVIE) 4.81 27.0%14.9%3.2% 5.25 25.9%10.3%46 +0.44
Joaquín Benoit R 2026 · 3.72 FIP 39 SU 3.72 25.5%11.3%2.5%.258 4.35 21.6%11.7%50 +0.63 3.72 164 39
Jason Grilli R 2026 · 4.13 FIP 39 SU 4.13 32.3%12.4%4.0%.264 5.63 26.1%16.3%40 +1.50 1.98 133 35
Horacio Ramirez L 2026 · 4.62 FIP 39 SU 4.62 5.7%6.0%2.2%.233 3.28 199 34
Daniel Bard R 2025 · 4.81 FIP 38 SU 4.81 20.3%19.8%1.7%.224 2.48 200 32
Santiago Casilla R 2025 · 4.08 FIP 38 SU 4.08 16.8%15.2%0.9%.248 3.51 219 30
Peter Moylan R 2026 · 4.77 FIP 39 SU 4.77 17.8%11.6%3.1%.322 3.10 174 28
Juan Sandoval R 2025 · 5.49 FIP 38 SU 5.49 15.9%7.2%5.1%.273 3.17 225 28
Luis Ayala R 2026 · 3.94 FIP 39 SU 3.94 15.9%11.7%1.3%.340 2.99 119 27
Matt Belisle R 2025 · 4.59 FIP 38 SU 4.59 15.4%6.2%3.7%.355 2.51 174 22
Erubiel Gonzalez R 2025 · 3.66 FIP 38 SU 3.66 13.3%2.5%2.5%.388 3.03 119 15
Brad Ziegler R 2025 · 3.88 FIP 38 SU 3.88 16.4%6.2%2.5%.276 2.61 257 14
Chris Young R 2025 · 5.65 FIP 38 SU 5.65 14.9%8.1%5.1%.374 4.67 242 13
Ryan Vogelsong R 2026 · 4.67 FIP 39 SP- 4.67 16.7%10.4%3.0%.270 4.46 217 5

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 327 completed pitcher careers (2015-2024).

PlayerYrsIP/yrK%BB%HR/9ERA
OGILVIE CAREER PROJECTION25026.5%15.2%1.304.76
Amir Garrett ('23)65125.8%13.4%1.505.10
Daniel Bard ('23)45025.1%13.5%0.813.82
Michael Kopech ('24)49626.1%12.5%1.454.15
Kyle Barraclough ('19)55029.0%14.1%0.863.53
Lucas Sims ('24)64727.6%11.6%1.244.22
Fernando Rodney ('19)55924.6%11.8%0.884.21