Connor KokxOF Akron RubberDucks
Age 26 R/R 6'0" / 195 lbs AA K +5%HR +5% Svc 0.0 · Ctrl thru 2034
wRC+†69
AVG/OBP/SLG.206 / .288 / .310
PA136
HR2
K%29
BB%8
MLB%2%
BAT: -4.7 runs (wOBA-derived runs vs avg)-5BATRUN: +0.4 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.8 runs (Positional adjustment)-1POSREP: +3.9 runs (Replacement-level credit)+4REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
-0.1peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2029
Service   0 yrs (est)
Team Control Through   2034
First FA Year   2035
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2029
2027MiLBstill in minors · estimated debut 2029
2028MiLBstill in minors · estimated debut 2029
2029Pre-Arb$0.8M
2030Pre-Arb$0.9M
2031Pre-Arb$0.9M
2032Arb-1$0.2M
2033Arb-2$0.4M
2034Arb-3$0.6M
Totals $-19M $-19M +$0.0M

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
202121 ROKACL Indians 5645 8110 3178 51 .178.339.244.584 .067.286 305 .262 59 -3 +1 +0 -0 +2 -0.1
202222 A+2 teams 395347 681126 38987 138 .196.288.291.579 .095.253 2510 .261 58 -19 -1 +0 -2 +11 -1.1
202323 AAAkron RubberDucks 390338 681603 3411614 295 .201.301.275.576 .074.293 309 .259 56 -19 +4 +0 -2 +11 -0.7
202424 AAAkron RubberDucks 10997 18200 6346 93 .186.275.206.481 .021.286 316 .230 34 -8 +1 +0 -1 +3 -0.5
▸ 2026 Season
202626 MLBCLE 136121 24502 11393 41 .198.281.289.571 .091.283 298 .276 69 -5 +0 +0 -1 +4 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202727 MLB 11%CLE 209185 40814 17595 72 .216.300.335.635 .119.284 288 .281 73 -6 +1 +0 -1 +6 -0.1
202828 MLB 22%CLE 276245 521015 23776 82 .212.296.322.618 .110.285 288 .283 75 -8 +1 -1 -2 +8 -0.2
202929 MLB 34%CLE 310274 591216 26867 92 .215.300.332.632 .117.284 288 .283 75 -9 +1 -1 -2 +9 -0.2
203030 MLB 44%CLE 333295 621216 28947 92 .210.294.319.613 .108.283 288 .281 73 -10 +1 -2 -2 +9 -0.4
203131 MLB 53%CLE 330293 611216 27947 71 .208.291.317.608 .109.282 288 .277 70 -11 +1 -3 -2 +9 -0.6
203232 MLB 64%CLE 319283 571115 26937 61 .201.285.300.585 .099.280 298 .273 67 -12 +1 -4 -2 +9 -0.8
203333 MLB 74%CLE 294262 531015 24876 40 .202.284.305.590 .103.278 308 .267 63 -12 +1 -4 -2 +8 -0.9
203434 MLB 81%CLE 254226 45914 21785 30 .199.282.301.583 .102.277 318 .261 58 -12 +1 -5 -2 +7 -1.1
▸ Career Totals (MLE all levels + projections)
Career 34113011 6151191152 28497288 11328 .204.292.303.595 .099.281 288 .271 65 -134 +11 -20 -20 +97 -6.7
/ 162G 650574 11823210 5418517 225 .206.293.305.598 .099.283 288 .271 65 -26 +2 -4 -4 +18 -1.3

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
202121 ROKACL Indians 5642 10111 6118 51 .238.429.381.810 .143.300 2011 .382 150 +3 +1 +2 0.5
202222 A+Lake County Captains 324273 641127 43646 127 .234.351.366.717 .132.281 2013 .328 109 +3 -0 +9 1.2
202222 INTLPeoria Javelinas 7160 17310 9151 11 .283.386.367.752 .083.370 2113 .341 119 +2 -0 +2 0.3
202323 AAAkron RubberDucks 390325 741803 478814 295 .228.350.311.661 .083.300 2312 .309 94 -2 +4 +11 1.3
202424 AAAkron RubberDucks 10995 22300 8266 93 .232.330.263.593 .032.319 247 .285 76 -3 +1 +3 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
Connor Kokx (OGILVIE) 26 .206/.288/.310 .104.283 24 29% 8% 69 -0.1
Adam Engel
2019 · MLB
27 42→48 43→50 54→60 39 .208/.265/.327 .119.287 1021 30% 6% 62 -0.9 .230/.286/.372 .142.305 1417 28% 5% 83 +0.6 .227/.287/.366.138.305132328%5%79+0.1
Gary Brown
2015 · AAA
26 43→53 41→45 50→55 40 .211/.261/.309 .098.272 822 25% 4% 56 -1.3 .207/.252/.308 .101.262 919 24% 4% 52 -1.6 .196/.237/.289.093.23981621%4%37-1.9
Jimmy Herron
2022 · AA
26 40→45 40→45 50→55 47 .193/.269/.283 .090.257 716 26% 8% 53 -1.5 .222/.297/.356 .134.276 1520 24% 8% 84 +0.6 .218/.294/.351.132.264152423%8%78+0.2
Chad Hinshaw
2017 · AA
26 44 43→45 55 41 .213/.289/.329 .116.307 1126 32% 7% 74 -0.1 .199/.262/.295 .096.300 815 34% 6% 53 -1.5 .177/.235/.263.086.26771134%6%30-1.5
Drew Jackson
2019 · AA
26 42→45 44→45 50→55 43 .210/.281/.323 .113.279 1117 28% 7% 69 -0.4 .198/.276/.314 .116.288 1220 33% 8% 65 -0.7 .181/.268/.277.096.287102537%9%49-0.8
Kristopher Negrón
2012 · AAA
26 44→50 42→45 55 41 .216/.271/.320 .104.278 1019 26% 5% 63 -0.8 .206/.257/.312 .106.278 1018 28% 5% 55 -1.4 .225/.289/.349.123.323141432%7%74-0.0
Cory Vaughn
2015 · AAA
26 38→40 45 54→50 42 .196/.270/.318 .122.273 1315 32% 7% 63 -0.8 .193/.258/.302 .109.284 1112 34% 7% 53 -1.5 .153/.220/.254.100.2339936%7%22-1.3
Jason Romano
2005 · MLB
26 43 43→45 54→50 45 .214/.270/.321 .107.271 1117 25% 7% 63 -0.9 .232/.281/.350 .118.283 1110 21% 6% 75 -0.0 .255/.296/.373.118.3109920%5%84+0.3
Tyler Saladino
2015 · AAA
26 47→46 41→45 55 47 .226/.289/.324 .097.285 821 23% 7% 71 -0.3 .236/.286/.341 .105.288 1023 21% 6% 74 -0.1 .228/.288/.326.099.289101724%7%69-0.2
Taylor Featherston
2016 · MLB
26 42→45 47→50 50 38 .213/.258/.351 .138.274 1512 28% 4% 66 -0.6 .200/.252/.324 .124.274 1311 31% 5% 56 -1.3 .186/.243/.304.118.267131234%5%45-1.3
Danny Worth
2012 · MLB
26 46→53 41→45 51→50 42 .222/.271/.319 .097.291 815 26% 6% 62 -0.9 .211/.274/.310 .099.297 715 29% 8% 62 -0.9 .222/.290/.321.098.3257931%8%68-0.3
Jonathan Davis
2018 · AA
26 44→52 44→45 51→55 47 .214/.297/.333 .120.288 1118 28% 9% 79 +0.3 .228/.305/.348 .120.295 1119 25% 7% 85 +0.7 .216/.301/.330.114.280102225%7%76+0.1
Mycal Jones
2013 · AA
26 41→46 41→45 49→55 42 .203/.260/.302 .100.265 917 26% 6% 54 -1.4 .216/.273/.302 .086.279 622 23% 6% 59 -1.1 .222/.282/.307.085.28562423%7%61-0.6
Travis Witherspoon
2015 · AA
26 41→47 46→45 53→55 43 .209/.268/.337 .128.278 1423 30% 7% 66 -0.6 .197/.249/.299 .102.272 1118 30% 6% 48 -1.9 .163/.206/.224.061.22371930%5%7-2.2
Corey Toups
2018 · AAA
25 44→47 43→45 55→50 40 .212/.271/.329 .117.297 1017 31% 6% 65 -0.7 .203/.266/.307 .104.321 1015 37% 7% 58 -1.2 .177/.247/.258.081.30091941%7%34-1.3
Daniel Amaral
2023 · AA
26 41 47→40 48→55 41 .209/.268/.341 .133.288 1514 32% 7% 68 -0.5 .231/.302/.338 .107.302 928 25% 8% 81 +0.4 .241/.322/.332.091.31264822%9%85+0.3
Hunter Stovall
2023 · AA
26 50→49 42→45 51→50 43 .240/.289/.350 .110.317 916 27% 6% 78 +0.2 .227/.274/.322 .095.279 915 21% 6% 64 -0.8 .218/.266/.302.084.25991619%6%52-1.0
Ryan Klosterman
2008 · AA
26 41→45 43→45 55 44 .206/.272/.320 .114.265 1020 26% 7% 63 -0.8 .211/.274/.315 .104.280 916 26% 7% 63 -0.8 .206/.272/.311.105.275101427%8%59-0.6
Mitch Longo
2021 · AA
26 45 42→45 51→50 41 .218/.268/.325 .106.285 913 26% 6% 62 -0.9 .227/.274/.372 .145.296 1618 28% 5% 78 +0.2 .222/.267/.379.157.284192229%5%73-0.1
Narciso Crook
2021 · AAA
26 45→43 45→55 51→50 37 .220/.269/.351 .131.313 1212 32% 5% 70 -0.3 .214/.283/.371 .157.316 1814 36% 7% 82 +0.5 .199/.278/.357.158.302191538%7%73-0.1