Joel Kuhnel P San Francisco Giants
Age 31 RHP 6'5" / 290 lbs MLB peak 0.4 · 2026
2026 ROS PROJECTION53 act + 5 ip · rates below = ROS only
showingROS
wRC+ AGAINSTvL 117109vR 101
ERA4.00
FIP3.77
K%16.7%
BB%5.1%
K-BB%11.6%
ROS IP5
Value2026 · WAR
Runs saved vs league avg · 58 IP
K: -2.5 runs (Runs saved by strikeouts vs lg-avg K%)-3KBB: +0.9 runs (Runs saved by walk suppression vs lg-avg BB%)+1BBCONTACT: -1.8 runs (Runs saved on contact quality (HR suppression) vs lg)-2CONTACTSTAM: +2.4 runs (Replacement credit for innings volume)+2STAMTotal WAR: -0.12 (58 IP)-0.1WAR
0.00.0-0.22628
Grades · Statcast · Arsenal · Contract
Scouting Grades
STUF4545
CTRL7070
CMD5555
K†4545
Statcast Percentiles
FB Velo
p5895.1
Whiff%
p2722.1%
K%
p1013.1%
xwOBA vs
p100.362
FB+1.4 (58%)
CT (24%)
CH (6%)
SI (53%)
SL (7%)
CU (4%)

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.
basis 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.

YearAge LvlTeam GGSIPBF KBBHR GS%IP/G K%BB%K-BB%HR% ERAFIP 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)
201621ROK MLEBillings Mustangs180219214110%1.210.3%1.4%9.0%1.5%3.433.23
201621ROK RAWBillings Mustangs180219214110%1.215.2%1.1%14.1%1.1%3.432.53
201722A MLEDayton Dragons48064276541060%1.314.5%4.3%10.2%2.4%4.363.75
201722A RAWDayton Dragons48064276541060%1.319.6%3.6%15.9%2.2%4.363.10
201823A+ MLEDaytona Tortugas4405322556920%1.219.2%4.6%14.6%1.1%3.042.64
201823A+ RAWDaytona Tortugas4405322556920%1.224.9%4.0%20.9%0.9%3.041.99
201924MIX MLE3 levels52063257591870%1.219.5%6.5%13.0%3.4%2.564.13+0.3
201924MIX RAW3 levels52063257591870%1.223.0%7.0%16.0%2.7%2.563.53+0.8
202025MLB MLECincinnati Reds303133020%1.023.1%0.0%23.1%15.4%6.009.60-0.2
202025MLB RAWCincinnati Reds303133020%1.023.1%0.0%23.1%15.4%6.009.77-0.2
202126MIX MLE2 levels81831111112%1.035.5%3.2%32.3%3.2%1.122.28
202126MIX RAW2 levels81831111112%1.035.5%3.2%32.3%3.2%1.122.35
202227MIX MLE2 levels63068297631490%1.122.0%5.1%16.9%2.9%5.803.49+0.9
202227MIX RAW2 levels63068297631490%1.121.2%4.7%16.5%3.0%5.803.58+0.8
202328MIX MLE2 levels47057258342060%1.211.1%7.1%4.0%2.7%6.044.55+0.0
202328MIX MLE2 levels47057258342060%1.211.1%7.1%4.0%2.7%6.044.55+0.0
202328MIX RAW2 levels47057258342060%1.213.2%7.8%5.4%2.3%6.044.34+0.1
202429MIX MLE2 levels41052214361120%1.314.7%5.7%9.0%0.6%3.292.90+1.0
202429MIX MLE2 levels41052214361120%1.314.7%5.7%9.0%0.6%3.292.90+1.0
202429MIX RAW2 levels41052214361120%1.316.8%5.1%11.7%0.9%3.292.85+1.1
202530AAA MLEScranton/Wilkes-Barre RailRiders50264259561154%1.317.9%3.8%14.1%2.0%3.533.16
202530AAA MLEScranton/Wilkes-Barre RailRiders50264259561154%1.317.9%3.8%14.1%2.0%3.533.16
202530AAA RAWScranton/Wilkes-Barre RailRiders50264259561154%1.321.6%4.2%17.4%1.9%3.532.88
▸ Career totals (raw MLB only — as recorded)
MLB Career12101335829935210%1.117.0%6.0%11.0%3.6%5.564.46+0.1
▸ 2026 season
YTD31MLB MLESan Francisco Giants52053229371780%1.015.1%7.2%7.9%3.8%3.914.82-0.2
YTD31MLB MLESan Francisco Giants52053229371780%1.015.1%7.2%7.9%3.8%3.914.82-0.2
▸ 2026 season — so far · projected rest · full
202631AAA RAWSF130145414410%1.125.9%7.4%18.5%1.9%1.292.87
202631MLB RAWSF39039175231370%1.013.1%7.4%5.7%4.0%4.855.13-0.3
SO FAR31MLB RAWSF39039175231370%1.013.1%7.4%5.7%4.0%4.855.13-0.3
ROS31MLB MLESF505224110%1.116.7%5.1%11.6%2.6%4.003.77+0.0
ROS31MLB CTXSF505214110%1.016.7%5.1%11.6%2.6%4.003.77+0.0
2026 TOT31MLB MLESF582514118916.2%7.2%9.0%3.4%3.914.72-0.1
FULL31MLB A+CSF441874118921.8%9.7%12.1%4.6%5.155.01-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
202732MLB MLESF56058246381480%1.015.4%5.6%9.8%3.2%4.614.62-0.0
202833MLB MLESF51054226331480%1.014.6%6.0%8.5%3.4%4.784.90-0.2
202732MLB CTXSF52055232361370%1.115.4%5.6%9.8%3.2%4.614.62-0.0
202833MLB CTXSF49051215311370%1.014.6%6.0%8.5%3.4%4.784.90-0.2
▸ Career totals — MLB only (actual + projected)
Career RAW2270244105317062360%1.116.2%5.9%10.3%3.5%5.154.38+0.5
/ 200 IP RAW186020086213951290%1.116.2%5.9%10.3%3.5%5.154.38+0.4
Career MLE42635062151363113531%1.216.9%5.3%11.6%2.5%4.033.69-0.1
/ 200 IP MLE168120085014345211%1.216.9%5.3%11.6%2.5%4.033.69-0.1

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player162sIP/yrK%BB%HR/9ERA
OGILVIE CAREER PROJECTION0.95816.1%5.2%1.174.47
Austin Pruitt ('23)1.56116.9%5.6%1.224.45
Alex Claudio ('21)1.55916.3%6.1%0.763.66
Joe Biagini ('19)1.68119.1%7.8%1.284.86
Robert Gsellman ('21)1.76718.4%7.8%0.964.38
Brandon Kintzler ('21)1.55016.2%6.3%0.913.57
Josh Winckowski ('24)1.27718.3%8.2%1.134.21