Gavin KilenSS Eugene Emeralds
Age 22 L/R 5'10" / 187 lbs A+ BB -3% Svc 0.0 · Ctrl thru 2035 peak 1.6 · 2031
wRC+†73
AVG/OBP/SLG.222 / .291 / .348
PA65
HR1
K%28
BB%8
MLB%0%
BAT: -2.0 runs (wOBA-derived runs vs avg)-2BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: -0.3 runs (Defensive runs vs avg)-0FLDPOS: +0.7 runs (Positional adjustment)+1POSREP: +1.8 runs (Replacement-level credit)+2REPTotal WAR: +0.10+0.1WAR
Scouting · nowfuture
HIT
4557
PWR
3545
SPD
5047
FLD
4050
EYE
4050
trajectory · 10 yrs
1.8peak
2031

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2030
Service   0 yrs (est)
Team Control Through   2035
First FA Year   2036
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2030
2027MiLBstill in minors · estimated debut 2030
2028MiLBstill in minors · estimated debut 2030
2029MiLBstill in minors · estimated debut 2030
2030Arb-2$0.9M+1.5$14M+$13M
2031Arb-3$0.9M+1.6$15M+$14M
2032Ext / FA-deal$0.9M+1.5$14M+$13M
2033Ext / FA-deal$3M+1.4$14M+$11M
2034Ext / FA-deal$4M+1.2$12M+$8M
2035Ext / FA-deal$5M+1.0$10M+$5M
Totals $14M $79M +$65M

Career Projections (MLE)

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

YearAge LvlTeam PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
202521 ASan Jose Giants 4340 7110 271 00 .175.233.250.483 .075.212 165 .204 14 -4 +0 +0 +0 +1 -0.3
▸ 2026 Season (actual · ROS · total)
202622 A+Eugene Emeralds 8275 16502 4221 00 .213.263.360.623 .147.264 275 .255 53 -4 +0 +0 +1 +2 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%SF 162146 34714 13362 31 .233.304.377.681 .144.281 228 .304 91 -2 +0 -1 +2 +5 0.4
202824 MLB 26%SF 278249 591227 24613 51 .237.312.386.697 .149.283 229 .310 95 -1 +1 -1 +3 +8 0.9
202925 MLB 44%SF 351314 741529 30774 61 .236.310.382.693 .146.284 229 .314 98 -1 +1 -1 +4 +10 1.3
203026 MLB 59%SF 399357 8517211 35874 72 .238.313.389.702 .151.285 229 .316 100 -0 +1 -2 +4 +11 1.5
203127 MLB 76%SF 422376 9018212 38935 72 .239.317.394.711 .154.285 229 .316 100 -0 +1 -2 +5 +12 1.6
203228 MLB 84%SF 433386 9219212 39965 71 .238.316.391.707 .153.285 229 .315 99 -0 +1 -2 +5 +12 1.5
203329 MLB 90%SF 432385 9118212 39975 71 .236.315.387.702 .151.284 229 .313 98 -1 +1 -3 +5 +12 1.4
203430 MLBSF 429382 8918211 39985 71 .233.312.377.689 .144.283 239 .310 95 -2 +1 -4 +5 +12 1.2
203531 MLBSF 418373 8617211 38974 60 .231.308.375.684 .145.282 239 .307 93 -3 +1 -4 +4 +12 1.0
203632 MLBSF 402359 8216210 36954 50 .228.306.368.673 .139.281 249 .302 89 -5 +1 -5 +4 +11 0.7
203733 MLBSF 374333 761529 34914 50 .228.307.366.674 .138.280 249 .297 85 -6 +1 -6 +4 +11 0.4
203834 MLBSF 330294 651327 30833 50 .221.300.350.650 .129.279 259 .291 81 -7 +1 -6 +4 +9 0.0
203935 MLBSF 278248 531016 25733 40 .214.293.335.628 .121.277 269 .283 75 -8 +1 -7 +3 +8 -0.3
204036 MLBSF 222199 42814 19612 30 .211.286.322.608 .111.275 279 .275 69 -8 +1 -7 +2 +6 -0.6
▸ Career Totals (MLE all levels + projections)
Career 49734441 102520426125 441115254 7710 .231.308.373.681 .142.282 239 .305 91 -49 +11 -51 +53 +141 10.8
/ 162G 650580 13427316 581517 101 .231.309.371.679 .140.284 239 .305 91 -6 +2 -7 +7 +18 1.4

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

YearAge LvlTeam PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
202521 ASan Jose Giants 4339 8110 351 00 .205.279.282.561 .077.235 127 .259 57 -2 +0 +1 -0.1

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

Scouting At Match Age Next 3 Yrs Peak 3 Yrs
Comp Age HIT PWR SPD EYE AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR
Gavin Kilen (OGILVIE) 22 45→57 35→45 50→47 50 .222/.291/.348 .126.295 11 28% 8% 80 +0.0
TJ Friedl
2018 · A
22 47→53 41→50 49→55 43 .227/.287/.336 .109.294 711 24% 6% 74 -0.1 .225/.297/.323 .098.293 718 24% 7% 75 -0.0 .246/.337/.381.136.276151816%10%103+1.8
Graham Pauley
2023 · A
22 46→51 45→55 49→50 51 .225/.302/.352 .127.274 1212 22% 9% 85 +0.7 .233/.299/.395 .162.280 1911 23% 8% 95 +1.4 .223/.293/.390.167.262201123%8%88+0.7
Canaan Smith-Njigba
2021 · A
22 47 44→45 50→55 45 .230/.291/.353 .122.306 1210 28% 8% 79 +0.3 .230/.300/.348 .118.336 1017 32% 9% 82 +0.5 .228/.299/.352.124.336112133%9%80+0.2
Drake Baldwin
2023 · A
22 48→53 38→50 50→30 47 .220/.298/.300 .081.318 58 30% 9% 69 -0.4 .236/.307/.376 .140.295 163 24% 9% 93 +1.3 .265/.334/.430.166.29822119%9%118+1.8
Trevor Larnach
2019 · A
22 48→53 45→55 51→45 47 .235/.297/.362 .127.292 117 23% 8% 85 +0.7 .238/.301/.359 .121.342 124 31% 7% 86 +0.8 .235/.316/.401.167.29321426%10%99+1.4
Nick Senzel
2017 · A
22 48→56 44→50 51→50 47 .232/.297/.363 .132.298 1016 25% 8% 85 +0.7 .253/.307/.400 .147.331 1314 26% 7% 98 +1.6 .259/.313/.416.157.335151626%7%102+1.2
Colt Keith
2023 · A
21 49→53 46→55 53→45 45 .236/.300/.372 .137.327 138 31% 8% 89 +0.9 .251/.308/.410 .159.313 185 25% 7% 102 +1.8 .253/.314/.408.154.30718423%8%102+1.6
Eric Sogard
2008 · A
22 45→55 43→45 46→55 44 .223/.272/.327 .104.270 119 22% 6% 65 -0.7 .250/.310/.356 .106.283 810 14% 8% 88 +0.9 .255/.340/.377.121.290111015%11%103+1.2
Ryan Kalish
2010 · AA
22 49→51 44→50 52→55 46 .237/.296/.355 .118.303 1214 25% 8% 82 +0.5 .240/.297/.372 .132.298 1423 23% 7% 87 +0.8 .232/.286/.357.124.293122624%7%76+0.0
Mat Gamel
2008 · A
23 48→56 45→55 49→45 43 .238/.285/.373 .135.300 128 24% 6% 82 +0.5 .248/.303/.402 .154.330 156 28% 7% 98 +1.6 .247/.307/.405.158.33217429%7%100+1.4
Jonathan India
2019 · A
22 43→51 45→50 51→50 45 .208/.290/.333 .125.296 1210 32% 8% 76 +0.0 .217/.304/.340 .123.297 1210 29% 9% 83 +0.6 .243/.342/.393.150.294171122%10%107+1.9
Alek Thomas
2021 · A
21 50→52 42→50 48→50 43 .241/.293/.352 .111.314 810 25% 6% 79 +0.3 .243/.298/.388 .145.306 1311 24% 7% 92 +1.2 .243/.296/.389.146.295141122%6%87+0.7
Connor Norby
2022 · A
22 48→49 43→55 49→50 45 .228/.300/.340 .113.324 1011 31% 8% 81 +0.4 .238/.298/.405 .167.308 2011 28% 7% 97 +1.5 .239/.300/.413.174.310211129%7%97+1.5
Adam Haseley
2018 · A
22 45→55 43→45 47→50 42 .223/.271/.333 .110.288 107 26% 6% 66 -0.6 .253/.304/.366 .113.313 117 22% 6% 89 +0.9 .247/.299/.355.109.30412922%6%80+0.3
Dario Pizzano
2013 · A
22 52→57 41→50 50→40 46 .245/.311/.349 .104.315 86 24% 7% 87 +0.8 .248/.309/.376 .128.281 94 15% 8% 93 +1.3 .248/.310/.391.142.27310313%8%96+1.0
Justin Yurchak
2018 · A
21 51→61 44→40 49→40 52 .249/.317/.367 .118.295 124 20% 9% 94 +1.3 .228/.288/.319 .091.284 72 21% 8% 69 -0.4 .273/.337/.381.107.33711221%8%103+1.1
Matt McLain
2022 · A
22 46→56 44→55 53→55 48 .222/.299/.339 .117.299 1119 28% 9% 80 +0.4 .233/.315/.415 .182.322 2023 32% 9% 107 +2.2 .229/.313/.400.171.309202330%9%99+1.5
Jorbit Vivas
2023 · A
22 50→56 44→45 47→50 50 .245/.317/.366 .121.270 124 14% 7% 95 +1.4 .229/.313/.339 .110.261 1014 16% 8% 87 +0.8 .221/.312/.321.101.25491816%9%79+0.3
Tyler Nevin
2019 · A
22 50→54 43→50 45 42 .243/.288/.353 .109.312 107 25% 5% 78 +0.2 .218/.277/.332 .114.272 126 23% 7% 69 -0.4 .240/.318/.386.146.29017422%8%98+1.1
Brian Goodwin
2013 · AA
22 46→52 47→60 48→50 48 .228/.298/.366 .138.291 1413 26% 8% 87 +0.8 .216/.287/.334 .118.296 1014 28% 8% 74 -0.1 .243/.309/.437.195.311231128%8%105+1.3