Lucas Luetge P Iowa Cubs
Age 39 LHP 6'4" / 205 lbs AAA peak 0.2 · 2026
2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 54 proj IP
wRC+ AGAINSTvL 94104vR 113
ERA4.00
FIP4.11
K%21.9%
BB%7.4%
K-BB%14.4%
ROS IP55
Value2026 · WAR
Runs saved vs league avg · 54 IP
K: -0.4 runs (Runs saved by strikeouts vs lg-avg K%)-0KBB: +0.9 runs (Runs saved by walk suppression vs lg-avg BB%)+1BBCONTACT: -0.1 runs (Runs saved on contact quality (HR suppression) vs lg)-0CONTACTSTAM: +2.3 runs (Replacement credit for innings volume)+2STAMTotal WAR: +0.28 (54 IP)+0.3WAR
0.2-0.12627
Grades · Statcast · Arsenal · Contract
Scouting Grades
STUF5555
CTRL5555
CMD6060
K†5050
Statcast Percentiles
FB Velo
p1088.8
Whiff%
p1921.0%
K%
p4521.5%
xwOBA vs
p210.346
SL+1.0
FB+0.7
CT-5.1

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
201528MIX3 levels31152243402583%1.714.0%10.4%3.6%3.0%4.994.89-0.2
201528MIX3 levels31152243402583%1.716.5%10.3%6.2%3.3%4.994.99-0.3
201629AAASalt Lake Bees48056243582540%1.221.0%10.8%10.2%1.7%4.853.62
201629AAASalt Lake Bees48056243582540%1.223.9%10.3%13.6%1.6%4.853.30
201730AAANorfolk Tides24032141331250%1.320.6%8.9%11.7%5.3%4.555.42
201730AAANorfolk Tides24032141331250%1.323.4%8.5%14.9%3.5%4.554.21
201932MIX2 levels55068278741940%1.222.7%7.3%15.4%1.4%2.382.86
201932MIX2 levels55068278741940%1.226.6%6.8%19.8%1.4%2.382.53
202134MLBNew York Yankees57172301781462%1.325.9%4.7%21.3%1.9%2.742.52+1.9
202134MLBNew York Yankees57172301781462%1.325.9%4.7%21.3%2.0%2.742.60+1.9
202235MLBNew York Yankees50057251601640%1.123.9%6.4%17.5%1.5%2.672.70+1.2
202235MLBNew York Yankees50057251601640%1.123.9%6.4%17.5%1.6%2.672.75+1.2
202336MIX3 levels34039178431660%1.221.4%9.6%11.9%3.8%4.814.59-0.0
202336MIX3 levels34039178431660%1.224.2%9.0%15.2%3.4%4.814.12+0.2
202437AAAIowa Cubs44158249711862%1.325.1%7.6%17.5%2.3%4.013.20
202437AAAIowa Cubs44158249711862%1.328.5%7.2%21.3%2.4%4.012.93
▸ 2026 Season
202639MLBCHC52055231511760%1.121.9%7.4%14.4%2.8%4.004.11+0.3
▸ 2027+ Projections   WITH CONTEXT · MLB TIME ONLY ⓘ
202740MLBCHC45047199411660%1.020.7%8.2%12.6%3.2%4.334.54+0.0
202740MLBCHC020.7%8.2%12.6%3.2%4.334.54
▸ Career (MLB actual + context projections)
Career120114662515439121%1.224.6%6.2%18.4%1.9%3.092.86+4.3
/ 200 IP165120085821154161%1.224.6%6.2%18.4%1.9%3.092.86+5.9
Career34334351884416150451%1.322.1%8.0%14.1%2.4%3.703.54+9.4
/ 200 IP158120086619169201%1.322.1%8.0%14.1%2.4%3.703.54+4.3

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
Lucas Luetge (OGILVIE) 4.11 21.9%7.4%2.8% 4.54 20.7%12.6%47 +0.43
Neal Cotts L 2024 · 3.24 FIP 37 SU 3.24 25.5%8.0%2.3%.273 3.24 156 74
Horacio Ramirez L 2026 · 4.62 FIP 39 SU 4.62 5.7%6.0%2.2%.233 3.28 199 43
Darren O'Day R 2026 · 3.59 FIP 39 SU 3.59 27.7%8.5%3.2%.281 2.04 215 37
Matt Belisle R 2025 · 4.59 FIP 38 SU 4.59 15.4%6.2%3.7%.355 2.51 174 32
Brad Ziegler R 2025 · 3.88 FIP 38 SU 3.88 16.4%6.2%2.5%.276 2.61 257 32
Fernando Rodney R 2026 · 3.44 FIP 39 SU 3.44 26.1%12.0%1.9%.288 3.51 25.4%14.2%167 +0.07 2.67 295 32
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 31
Peter Moylan R 2026 · 4.77 FIP 39 SU 4.77 17.8%11.6%3.1%.322 3.10 174 30
Gaudencio Aguirre R 2029 · 3.31 FIP 42 SU 3.31 14.8%8.6%0.7%.293 3.98 14.9%6.8%75 +0.67 3.31 123 29
Manny Acosta R 2025 · 3.04 FIP 38 SU 3.04 23.2%13.3%0.4%.303 3.04 102 29
Erubiel Gonzalez R 2025 · 3.66 FIP 38 SU 3.66 13.3%2.5%2.5%.388 3.03 119 27
Hector Navarro R 2024 · 3.41 FIP 37 SU 3.41 11.5%5.6%1.0%.283 2.30 126 26
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 25
Luis Ayala R 2026 · 3.94 FIP 39 SU 3.94 15.9%11.7%1.3%.340 2.99 119 24
Santiago Casilla R 2025 · 4.08 FIP 38 SU 4.08 16.8%15.2%0.9%.248 3.51 219 23
Daniel Bard R 2025 · 4.81 FIP 38 SU 4.81 20.3%19.8%1.7%.224 2.48 200 20
Ryan Vogelsong R 2026 · 4.67 FIP 39 SP- 4.67 16.7%10.4%3.0%.270 4.46 217 11
Logan Duran R 2024 · 3.58 FIP 37 SP- 3.58 15.5%8.9%1.2%.427 3.36 187 8

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 PROJECTION25121.4%7.8%1.164.15
Fernando Salas ('18)45922.5%6.6%1.224.42
Jim Johnson ('18)46320.7%8.0%0.904.19
Carlos Torres ('17)37120.1%9.0%0.973.77
Josh Winckowski ('24)37718.3%8.2%1.134.21
Zach McAllister ('18)45724.8%7.9%1.143.63
Matt Albers ('19)54920.3%8.3%1.374.21