Edwin Díaz P Los Angeles Dodgers
Age 32 RHP 6'3" / 165 lbs MLB Svc 9.0 · Ctrl thru 2029 peak 1.0 · 2026 ILInjured 60-Day (D60)
2026 ROS PROJECTION8 act + 37 ip · rates below = ROS only
wRC+ AGAINSTvL 8071vR 62
ERA2.79
FIP2.59
K%38.9%
BB%8.3%
K-BB%30.6%
ROS IP37
Value2026 · WAR
Runs saved vs league avg · 45 IP
K: +7.3 runs (Runs saved by strikeouts vs lg-avg K%)+7KBB: -0.1 runs (Runs saved by walk suppression vs lg-avg BB%)-0BBCONTACT: +3.0 runs (Runs saved on contact quality (HR suppression) vs lg)+3CONTACTSTAM: +1.9 runs (Replacement credit for innings volume)+2STAMTotal WAR: +1.27 (45 IP)+1.3WAR
0.01.53.00.51.00.70.5-$36M ctrl surplus26272829303132333435
projected WAR paid WAR ($/8M) surplus deficit post-control
Grades · Arsenal · Contract
Scouting Grades
STUF8080
CTRL5050
CMD8080
K†8080
SL (47%)
FB-2.3 (52%)
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   FA
MLB Debut   2016
Service   9.703 yrs.days
Team Control Through   2029
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026ROSExt$6M+0.5$2M-$4M
2027Ext$23M+1.0$7M-$13M
2028Ext$23M+0.7$2M-$16M
2029Ext$6M+0.5$2M-$3M
Totals $58M $13M -$36M
Underwater contract
Projected production over the remaining contract is worth -$36M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

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
201521MIX2 levels2727141584145468100%5.219.8%8.7%11.1%1.9%3.823.56
201521MIX2 levels2727141584145468100%5.224.8%7.9%17.0%1.4%3.822.76
201622MIX2 levels656923791422089%1.434.8%5.5%29.3%2.4%2.532.15+3.3
201622MIX2 levels656923791422089%1.437.5%5.3%32.2%2.1%2.531.80+3.7
201723MLBSeattle Mariners660662788930100%1.032.0%10.8%21.2%3.8%3.273.84+0.6
201723MLBSeattle Mariners660662788930100%1.032.0%10.8%21.2%3.6%3.273.74+0.7
201824MLBSeattle Mariners730732801241750%1.044.3%6.1%38.2%1.9%1.961.16+3.1
201824MLBSeattle Mariners730732801241750%1.044.3%6.1%38.2%1.8%1.961.30+3.0
201925MLBNew York Mets660582549919150%0.939.0%7.5%31.5%5.9%5.594.01+0.4
201925MLBNew York Mets660582549919150%0.939.0%7.5%31.5%5.9%5.594.03+0.4
202026MLBNew York Mets26026110501420%1.045.5%12.7%32.7%1.8%1.751.88+0.8
202026MLBNew York Mets26026110501420%1.045.5%12.7%32.7%1.8%1.751.85+0.8
202127MLBNew York Mets63063257892230%1.034.6%8.6%26.1%1.2%3.451.90+2.0
202127MLBNew York Mets63063257892230%1.034.6%8.6%26.1%1.2%3.451.94+2.0
202228MLBNew York Mets610622351181730%1.050.2%7.2%43.0%1.3%1.310.48+3.0
202228MLBNew York Mets610622351181730%1.050.2%7.2%43.0%1.3%1.310.75+2.8
202430MIX2 levels56056223872170%1.038.9%9.3%29.6%3.3%3.402.78+1.2
202430MIX2 levels56056223872170%1.039.0%9.4%29.6%3.1%3.402.74+1.2
202531MLBNew York Mets62066258982140%1.138.0%8.1%29.8%1.6%1.631.78+2.3
202531MLBNew York Mets62066258982140%1.138.0%8.1%29.8%1.6%1.631.88+2.2
▸ 2026 Season
202632MLBLos Angeles Dodgers91839144111%0.97.88
ROS32MLBLAD35037156611340%1.138.9%8.3%30.6%2.4%2.792.59+0.8
ROS32MLBLAD35037156611340%1.138.9%8.3%30.6%2.4%2.752.55+0.9
2026 TOT32MLBLAD451957517538.3%8.7%29.6%2.5%3.692.13+1.3
2026 FULL32MLBLAD431827517541.2%9.4%31.8%2.6%3.832.23+1.2
▸ 2027+ Projections   WITH CONTEXT · MLB TIME ONLY ⓘ
202733MLBLAD56059248922370%1.037.2%9.1%28.1%2.7%2.973.00+1.1
202834MLBLAD51053225822270%1.036.3%9.6%26.7%3.0%3.173.30+0.8
202935MLBLAD46048202712170%1.035.4%10.2%25.2%3.4%3.453.64+0.5
203036MLBLAD40042179611970%1.134.3%10.8%23.5%3.8%3.794.01+0.3
202733MLBLAD56059249932370%1.137.2%9.1%28.1%2.7%2.932.96+1.1
202834MLBLAD50053224812270%1.136.3%9.6%26.7%3.0%3.123.25+0.8
202935MLBLAD46048203722170%1.035.4%10.2%25.2%3.3%3.403.59+0.5
203036MLBLAD40042177611960%1.134.3%10.8%23.5%3.7%3.733.95+0.3
▸ Career (MLB actual + context projections)
Career755076531491217274850%1.038.6%8.7%29.9%2.7%3.002.43+26.6
/ 200 IP197020082431872220%1.038.6%8.7%29.9%2.7%3.002.43+7.0
Career5743471128971015236716%1.235.0%8.2%26.9%2.5%3.042.52+24.0
/ 200 IP1611020081528566206%1.235.0%8.2%26.9%2.5%3.042.52+6.7

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
Edwin Díaz (OGILVIE) 2.59 38.9%8.3%2.4% 3.29 36.4%26.8%160 +0.70
C.C. Lee R 2025 · 3.00 FIP 31 SU 3.00 34.7%9.1%3.0%.275 2.50 121 73
Mark Lowe R 2026 · 2.37 FIP 32 SU 2.37 28.4%5.1%1.9%.302 5.17 19.2%9.9%98 +2.80 2.37 153 69
Adam Ottavino R 2026 · 1.99 FIP 32 SU 1.99 36.2%10.0%1.2%.224 3.22 28.6%16.3%147 +1.23 1.99 488 69
Josh Lueke R 2024 · 2.50 FIP 30 SU 2.50 30.0%4.1%2.6%.264 2.50 107 68
Wade Davis R 2026 · 3.13 FIP 32 SU 3.13 29.9%10.0%2.4%.235 4.87 20.2%8.1%85 +1.74 2.00 320 68
Jay Jackson R 2025 · 2.91 FIP 31 SU 2.91 32.4%9.1%2.5%.272 3.61 29.4%19.9%41 +0.70 2.41 261 67
Seunghwan Oh R 2028 · 1.81 FIP 34 SU 1.81 32.9%4.8%1.6%.263 3.42 24.1%19.6%146 +1.61 1.81 226 66
Blake Parker R 2026 · 2.61 FIP 32 SU 2.61 33.9%6.3%2.9%.228 4.31 26.6%18.8%144 +1.70 2.61 339 64
David Robertson R 2026 · 1.99 FIP 32 SU 1.99 37.1%6.8%2.1%.204 2.77 32.2%23.4%70 +0.78 1.99 494 63
Shawn Kelley R 2026 · 2.80 FIP 32 SU 2.80 35.7%4.0%4.0%.254 5.02 23.1%17.9%122 +2.22 2.34 232 62
Ryan Tepera R 2026 · 3.07 FIP 32 SU 3.07 34.8%13.5%2.2%.341 3.31 25.2%18.0%129 +0.24 2.33 445 62
Michael Tonkin R 2026 · 2.33 FIP 32 SU 2.33 32.1%7.9%1.7%.321 3.74 23.5%16.0%211 +1.41 2.33 480 62
Blake Wood R 2025 · 3.52 FIP 31 SU 3.52 25.3%9.3%2.5%.364 3.05 210 61
Bud Norris R 2026 · 3.60 FIP 32 SU 3.60 27.7%9.0%3.1%.298 3.52 27.3%20.0%58 -0.08 3.52 316 61
Santiago Casilla R 2029 · 3.51 FIP 35 SU 3.51 25.4%8.6%2.7%.290 3.93 22.4%12.7%161 +0.42 3.51 219 61
Craig Kimbrel R 2026 · 3.24 FIP 32 SU 3.24 40.6%15.9%2.8%.286 2.81 34.6%24.9%189 -0.43 0.89 599 60
Pedro Strop R 2026 · 3.03 FIP 32 SU 3.03 26.0%10.0%1.6%.263 3.35 25.3%16.4%101 +0.32 2.48 277 60
Oliver Drake R 2026 · 3.26 FIP 32 SU 3.26 33.5%8.1%3.6%.268 2.25 317 60
Spencer Patton R 2027 · 3.09 FIP 33 SU 3.09 27.9%8.7%2.3%.305 5.10 21.4%9.7%88 +2.01 2.74 239 60
Daniel Bard R 2029 · 2.70 FIP 35 SU 2.70 25.5%7.5%1.5%.290 3.50 25.3%12.0%175 +0.80 2.48 200 59

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 PROJECTION54936.4%9.6%1.183.22
Andrew Miller ('21)65435.9%8.3%0.972.73
Cody Allen ('19)55931.3%10.2%1.193.51
Corey Knebel ('22)64732.3%11.2%0.953.04
David Robertson ('24)76632.1%9.6%0.852.91
Keone Kela ('19)54330.1%9.4%0.923.23
Ken Giles ('19)56032.6%7.6%0.752.89