Matt Moore P ACL Royals
Age 37 LHP 6'3" / 210 lbs ROK
2026 ROS PROJECTION3 act + 33 ip · rates below = ROS only
wRC+ AGAINSTvL 105115vR 124
ERA4.42
FIP4.84
K%21.7%
BB%9.6%
K-BB%12.1%
ROS IP33
Value2026 · WAR
Runs saved vs league avg · 36 IP
K: +0.1 runs (Runs saved by strikeouts vs lg-avg K%)+0KBB: -0.1 runs (Runs saved by walk suppression vs lg-avg BB%)-0BBCONTACT: -1.0 runs (Runs saved on contact quality (HR suppression) vs lg)-1CONTACTSTAM: +1.5 runs (Replacement credit for innings volume)+1STAMTotal WAR: +0.05 (36 IP)+0.1WAR
-0.2-0.42627
Grades · Statcast · Arsenal · Contract
Scouting Grades
K†5050
Statcast Percentiles
FB Velo
p2592.7
Whiff%
p5926.7%
K%
p3219.5%
xwOBA vs
p390.324
FB+4.2 (50%)
CU (18%)
CT-2.0 (1%)
CH-5.1 (32%)

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
201526MIX3 levels22221144901133816100%5.221.9%7.8%14.1%3.5%4.414.18+1.6
201526MIX3 levels22221144901133816100%5.223.1%7.8%15.3%3.3%4.413.94+2.0
201627MLBSan Francisco Giants33331988381787125100%6.021.2%8.5%12.8%3.2%4.084.16+2.9
201627MLBSan Francisco Giants33331988381787125100%6.021.2%8.5%12.8%3.0%4.084.02+3.2
201728MLBSan Francisco Giants3231174790148642797%5.418.7%8.1%10.6%3.7%5.524.58+1.7
201728MLBSan Francisco Giants3231174790148642797%5.418.7%8.1%10.6%3.4%5.524.52+1.8
201829MLBTexas Rangers391210247186401931%2.618.3%8.5%9.8%3.9%6.794.79+0.7
201829MLBTexas Rangers391210247186401931%2.618.3%8.5%9.8%4.0%6.795.01+0.5
201930MLBDetroit Tigers221033910100%5.027.3%3.0%24.2%0.0%0.001.18+0.4
201930MLBDetroit Tigers221033910100%5.027.3%3.0%24.2%0.0%0.001.60+0.3
202132MIX2 levels29189242185452062%3.219.6%10.8%8.7%4.9%5.955.49-0.3
202132MIX2 levels29189242185452062%3.220.2%10.7%9.5%4.8%5.955.54-0.3
202233MIX2 levels65079321903730%1.227.3%11.8%15.5%1.0%1.822.82+2.0
202233MIX2 levels65079321903730%1.228.0%11.5%16.5%0.9%1.822.72+2.1
202334MLBMiami Marlins50053218601270%1.127.5%5.5%22.0%3.4%2.563.34+0.7
202334MLBMiami Marlins50053218601270%1.127.5%5.5%22.0%3.2%2.563.23+0.8
202435MLBLos Angeles Angels510482104124110%0.919.5%11.4%8.1%5.4%5.035.88-0.8
202435MLBLos Angeles Angels510482104124110%0.919.5%11.4%8.1%5.2%5.035.85-0.7
▸ 2026 Season
202637ROKACL Royals22310400100%1.50.00
ROS37MLBKC553313830135100%6.621.7%9.6%12.1%3.6%4.424.84-0.1
ROS37MLBKC021.7%9.6%12.1%3.5%4.364.78
2026 TOT37MLBKC361483413522.9%8.9%14.0%3.4%4.054.43+0.0
▸ 2027+ Projections   WITH CONTEXT · MLB TIME ONLY ⓘ
202738MLBKC27028119241250%1.020.5%10.3%10.2%4.0%4.935.27-0.2
202738MLBKC27028118241250%1.020.5%10.3%10.2%3.9%4.865.20-0.2
▸ Career (MLB actual + context projections)
Career333103824359573831612131%2.520.5%8.8%11.7%3.4%4.774.32+10.4
/ 200 IP8125200873179772931%2.520.5%8.8%11.7%3.4%4.774.32+2.5
Career325120874380280333413537%2.721.1%8.8%12.3%3.5%4.624.37+10.5
/ 200 IP7427200870184763137%2.721.1%8.8%12.3%3.5%4.624.37+2.4

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
Matt Moore (OGILVIE) 4.84 21.7%9.6%3.6% 5.27 20.5%10.2%28 +0.43
Wandy Rodriguez L 2025 · 3.84 FIP 36 SP- 3.84 19.4%8.5%2.4%.312 3.84 101 55
Jorge De La Rosa L 2026 · 3.99 FIP 37 SU 3.99 19.3%9.5%2.4%.269 3.68 405 54
Scott Kazmir L 2026 · 4.59 FIP 37 SP 4.59 19.2%8.8%3.6%.280 3.72 395 51
Juan Antonio Pena L 2026 · 4.15 FIP 37 SP- 4.15 13.6%9.9%1.7%.287 4.15 149 50
Craig Breslow L 2026 · 5.02 FIP 37 SU 5.02 17.8%15.1%2.7%.400 4.22 159 41
Jonathan Sánchez L 2025 · 4.65 FIP 36 SP 4.65 18.1%8.3%3.7%.339 4.65 109 40
Jorge Castillo L 2026 · 5.23 FIP 37 SP 5.23 19.6%8.1%5.0%.316 4.40 408 39
Jean Machi R 2024 · 3.92 FIP 35 SU 3.92 18.6%6.6%2.8%.285 3.92 186 34
Tsuyoshi Wada L 2023 · 3.68 FIP 34 SP 3.68 16.8%7.1%2.0%.307 3.68 119 33
Francisley Bueno L 2025 · 4.60 FIP 36 SP 4.60 11.7%8.4%2.6%.351 3.39 138 32
Chris Narveson L 2024 · 4.40 FIP 35 SP 4.40 12.2%10.4%1.8%.264 4.40 249 31
Francisco Del Rosario R 2025 · 4.09 FIP 36 SU 4.09 16.4%10.0%2.0%.267 6.61 11.9%-0.6%77 +2.52 4.09 145 31
Ryan Vogelsong R 2027 · 4.46 FIP 38 SP- 4.46 18.1%9.4%3.1%.295 4.67 16.7%6.3%82 +0.21 4.46 217 30
Eric Stults L 2024 · 4.25 FIP 35 SP 4.25 14.5%5.9%2.9%.266 4.25 138 30
Dustin McGowan R 2024 · 4.59 FIP 35 SU 4.59 19.4%6.7%4.2%.277 3.83 208 29
Jake Peavy R 2024 · 4.36 FIP 35 SP- 4.36 19.6%6.7%3.8%.318 4.09 262 29
Fernando Rodney R 2027 · 4.26 FIP 38 SU 4.26 20.9%9.4%3.2%.272 3.34 26.2%15.2%185 -0.92 2.67 295 29
Santiago Casilla R 2026 · 4.04 FIP 37 SU 4.04 22.0%8.1%3.2%.289 4.08 16.8%1.6%44 +0.04 3.51 219 29
Salvador Valdez R 2025 · 4.24 FIP 36 SW 4.24 17.1%8.2%2.8%.405 3.65 326 29
Jonathan Castellanos R 2026 · 5.02 FIP 37 SW 5.02 11.0%9.0%3.1%.348 3.56 394 27

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 PROJECTION23021.1%9.9%1.474.66
José Ruiz ('24)55222.2%10.4%1.414.41
Travis Wood ('17)38520.8%9.8%1.344.72
Alex Young ('23)55219.5%8.6%1.614.43
Drew VerHagen ('23)64319.7%9.4%1.404.82
Matt Albers ('19)54920.3%8.3%1.374.21
Bud Norris ('18)47922.7%9.2%1.285.07