Kolten Wong2B Reno Aces
Age 35 L/R 5'7" / 185 lbs AAA HR -5% Svc 13.000 · Ctrl thru 2026 peak 0.2 · 2026
wRC+†81
AVG/OBP/SLG.228 / .297 / .341
PA216
HR4
K%22
BB%7
xwOBA.266
Barrel%1.7%
MLB%10%
BAT: -4.7 runs (wOBA-derived runs vs avg)-5BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: -0.4 runs (Defensive runs vs avg)-0FLDPOS: +0.8 runs (Positional adjustment)+1POSREP: +6.1 runs (Replacement-level credit)+6REPTotal WAR: +0.20+0.2WAR
Scouting · nowfuture
PWR
4242
SPD
4747
EYE
5757
trajectory · 10 yrs
0.1peak
2026
Barrel%
101.7
xwOBA
140.266
Avg EV
1085.6
Whiff%
670.092
Chase%
590.300
Speed
3326.7
Bat Spd
4070.3

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   FA
MLB Debut   2013
Service   13.000 yrs.days
Team Control Through   2026
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Ext / FA-deal$1M+0.2$0.8M-$0.2M
Totals $1M $0.8M -$0.2M

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
201120 AQuad Cities River Bandits 222202 561224 13283 95 .277.330.416.746 .139.299 136 .321 104 +1 -0 +0 +1 +6 0.8
201221 AA2 teams 655611 1552187 321067 2614 .254.298.349.647 .095.295 165 .285 76 -18 -0 +0 +2 +19 0.3
201322 AAA2 teams 525486 1261978 29894 231 .259.306.377.683 .117.300 176 .298 87 -8 +4 +2 +2 +15 1.5
201423 MLB2 teams 513479 12518214 24834 264 .261.302.395.696 .134.290 165 .297 86 -8 +4 +4 +2 +15 1.6
201524 MLBSt. Louis Cardinals 613557 14829412 369515 158 .266.327.397.724 .131.299 156 .317 101 +1 -0 +4 +2 +17 2.5
201625 MLB2 teams 395342 85788 376011 80 .249.341.386.727 .137.276 159 .321 104 +2 +2 +4 +1 +11 2.0
201726 MLB2 teams 428370 1062835 426112 82 .286.377.419.796 .132.329 1410 .335 115 +7 +1 -1 +2 +12 2.1
201827 MLBSt. Louis Cardinals 407353 8919210 316014 65 .252.337.402.739 .150.276 158 .318 101 +1 -1 +6 +1 +12 1.9
201928 MLBSt. Louis Cardinals 549478 13627213 478313 244 .285.364.431.795 .146.318 159 .340 118 +11 +3 +3 +2 +16 3.6
202029 MLBSt. Louis Cardinals 208181 49421 20304 52 .271.356.331.688 .061.318 1410 .305 92 -2 +0 +2 +1 +6 0.7
202130 MLBMilwaukee Brewers 492445 12534214 318313 125 .281.346.461.806 .180.316 176 .346 123 +13 +0 +1 +2 +14 3.1
202231 MLBMilwaukee Brewers 497430 10623513 468814 176 .247.339.414.753 .167.278 189 .322 105 +3 +1 -7 +2 +14 1.3
202332 MLBLos Angeles Dodgers 250224 40604 18535 32 .179.255.259.514 .080.212 217 .236 39 -17 -0 -1 +1 +7 -1.1
202433 AAAReno Aces 121110 22401 7302 20 .200.261.264.524 .064.259 256 .244 45 -8 +0 +0 +0 +3 -0.3
▸ 2026 Season
202635 MLBARI 216194 45814 16474 31 .232.304.345.649 .113.279 227 .291 81 -5 +0 -0 +1 +6 0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202736 MLB 20%ARI 151137 31603 11352 21 .226.293.336.629 .109.277 237 .282 74 -4 +0 -7 +1 +4 -0.6
▸ Career Totals (MLE all levels + projections)
Career 62425599 144426548121 4401031127 18960 .258.326.387.713 .129.294 177 .310 95 -32 +14 +9 +22 +177 19.4
/ 162G 650583 15128513 4610713 206 .259.327.391.718 .132.295 167 .310 95 -3 +2 +1 +2 +18 2.0

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
201120 AQuad Cities River Bandits 222194 651525 21243 95 .335.408.510.919 .175.355 119 .399 164 +16 -0 +6 2.3
201221 AASpringfield Cardinals 579523 1502369 44747 2111 .287.350.405.756 .119.318 138 .337 116 +11 -0 +16 2.7
201221 INTLSurprise Saguaros 7674 24201 2110 53 .324.342.392.734 .068.371 143 .330 110 +1 -0 +2 0.3
201322 MLBSt. Louis Cardinals 6259 9100 3120 30 .153.194.169.363 .017.191 195 .171 -11 -8 +1 +2 +2 +2 -0.2
201322 AAAMemphis Redbirds 463412 12521810 41604 201 .303.372.466.838 .163.332 139 .367 139 +21 +4 +13 3.8
201423 MLBSt. Louis Cardinals 433402 10014312 21714 204 .249.293.388.681 .139.275 165 .299 87 -6 +2 +4 +2 +12 1.4
201423 AAAMemphis Redbirds 8075 27403 590 60 .360.400.533.933 .173.381 116 .412 173 +7 +1 +2 1.0
201524 MLBSt. Louis Cardinals 613557 14628411 369515 158 .262.324.386.710 .124.296 156 .318 101 +1 -0 +4 +2 +17 2.5
201625 MLBSt. Louis Cardinals 361313 75775 34529 70 .240.331.355.686 .115.268 149 .309 95 -2 +1 +4 +1 +10 1.5
201625 AAAMemphis Redbirds 3428 12014 462 10 .429.529.9291.458 .500.444 1812 .604 320 +8 +0 +1 1.0
201726 MLBSt. Louis Cardinals 411354 1012734 416012 82 .285.378.412.791 .127.331 1510 .355 130 +14 +1 -1 +2 +12 2.7
201726 AASpringfield Cardinals 1715 6201 210 00 .400.471.7331.204 .333.385 612 .515 252 +3 +0 +0 0.3
201827 MLBSt. Louis Cardinals 407353 881829 316014 65 .249.334.388.722 .139.275 158 .320 103 +2 -1 +6 +1 +12 2.0
201928 MLBSt. Louis Cardinals 549478 13625411 478313 244 .285.364.423.787 .138.321 159 .347 124 +15 +3 +3 +2 +16 4.0
202029 MLBSt. Louis Cardinals 208181 48421 20304 52 .265.351.326.677 .061.311 1410 .310 95 -1 +0 +2 +1 +6 0.8
202130 MLBMilwaukee Brewers 492445 12132214 318313 125 .272.337.447.785 .175.305 176 .347 124 +13 +0 +1 +2 +14 3.1
202231 MLBMilwaukee Brewers 497430 10824415 468814 176 .251.343.430.773 .179.280 189 .341 119 +11 +1 -7 +2 +14 2.1
202332 MLBLos Angeles Dodgers 250224 41604 18535 32 .183.259.263.523 .080.218 217 .241 43 -16 -0 -1 +1 +7 -0.9
202433 AAAReno Aces 121107 29602 10222 20 .271.345.383.728 .112.318 188 .325 107 +1 +0 +3 0.5
▸ Career Totals (raw MLB only — historical actual)
MLB Career 42833796 9731863186 328687103 12038 .256.332.390.722 .133.290 168 .322 105 +22 +9 +16 +17 +121 19.0

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
Kolten Wong (OGILVIE) 35 42 47 57 .228/.297/.341 .114.279 43 22% 7% 81 +0.1
Anthony Recker
2018 · MLB
34 42→48 47→50 49→45 44 .210/.284/.344 .134.285 145 30% 8% 76 +0.0 .215/.278/.370 .155.292 185 31% 7% 79 +0.3 .196/.261/.371.175.25722032%7%69-0.2
Matt Treanor
2012 · MLB
36 45 41→40 40 56 .216/.313/.306 .090.257 96 19% 11% 79 +0.3 .216/.312/.331 .115.267 118 22% 11% 84 +0.6 .161/.271/.266.105.20110524%11%41-0.5
Dioner Navarro
2019 · MLB
35 44→54 46→50 45 48 .220/.282/.348 .128.260 147 22% 8% 75 -0.0 .225/.302/.343 .118.278 128 22% 9% 82 +0.5 .182/.269/.232.050.2335022%10%38-0.5
Curtis Pride
2005 · MLB
36 48 46→45 51→55 43 .239/.295/.372 .133.300 1312 24% 6% 87 +0.8 .242/.317/.378 .136.327 1218 27% 10% 97 +1.5 .234/.314/.359.125.326112129%10%89+0.5
Hector Paez
2013 · AAA
35 46 43→45 48→40 42 .227/.255/.332 .105.243 126 13% 3% 59 -1.1 .228/.267/.341 .113.250 134 15% 3% 66 -0.6 .221/.262/.317.096.24311114%3%58-0.4
Charlie Culberson
2023 · MLB
34 49→52 45 48→50 44 .241/.290/.371 .130.302 1213 24% 6% 84 +0.6 .225/.273/.339 .114.313 1212 30% 6% 69 -0.4 .176/.203/.217.041.28651439%3%7-0.8
Andrés Blanco
2019 · MLB
35 45→47 44→50 45→50 48 .221/.292/.341 .120.261 128 20% 7% 78 +0.2 .220/.294/.367 .147.269 186 25% 7% 86 +0.8 .209/.288/.364.156.25621227%7%79+0.2
Trinidad Robles
2008 · AAA
35 49 44→40 47→45 46 .241/.294/.360 .119.288 1210 21% 6% 83 +0.6 .219/.273/.304 .085.272 77 21% 6% 59 -1.1 .220/.277/.248.028.2870021%5%43-0.9
Gerald Laird
2013 · MLB
33 49→47 43→50 46→50 50 .238/.298/.349 .111.270 106 16% 7% 82 +0.5 .244/.315/.343 .099.289 76 17% 9% 87 +0.8 .233/.312/.302.069.2882218%9%71-0.1
Drew Butera
2019 · MLB
35 45 46→40 47→40 47 .224/.287/.351 .127.274 134 23% 8% 78 +0.2 .204/.274/.319 .115.273 116 28% 8% 65 -0.7 .174/.252/.278.105.24611532%8%45-1.0
Jose Munoz
2013 · AAA
34 45→49 41→45 47→50 51 .217/.296/.313 .096.276 98 24% 10% 72 -0.2 .212/.281/.323 .111.274 119 25% 8% 69 -0.4 .159/.240/.258.100.1999424%9%32-0.6
Greg Dobbs
2013 · MLB
35 52→56 44→55 45→50 45 .255/.295/.371 .117.295 125 18% 5% 86 +0.8 .238/.291/.334 .096.282 95 18% 6% 75 -0.0 .215/.275/.281.066.2615119%6%44-0.7
Chad Moeller
2010 · MLB
35 44 42→50 43→30 43 .215/.267/.323 .107.265 94 22% 6% 62 -0.9 .219/.274/.333 .114.268 96 21% 6% 68 -0.5 .200/.257/.297.097.2494020%5%47-0.4
Francisco Cordoba
2019 · AAA
35 44→53 41→45 46→40 43 .215/.264/.306 .092.259 95 21% 5% 56 -1.3 .226/.281/.395 .169.250 245 21% 6% 88 +0.9 .214/.273/.396.182.22228020%6%83+0.4
Sandy Martinez
2006 · AAA
35 46 43→45 44→40 41 .227/.269/.334 .107.285 107 24% 5% 66 -0.6 .216/.261/.343 .127.270 156 25% 6% 65 -0.7 .191/.239/.318.127.22918226%6%47-1.0
Iker Franco
2016 · AAA
35 49→47 41→50 47→40 48 .237/.290/.328 .091.282 104 20% 7% 72 -0.2 .248/.302/.355 .107.306 125 22% 7% 85 +0.7 .248/.301/.357.109.30715023%7%83+0.2
Jesus Rivera
2013 · AAA
35 50→54 40 41→40 48 .241/.282/.330 .090.263 85 12% 5% 69 -0.4 .236/.281/.319 .083.279 75 17% 5% 66 -0.6 .276/.323/.333.057.3232414%6%87+0.3
Don Kelly
2014 · MLB
34 45→55 45 50→55 55 .220/.293/.334 .114.237 139 14% 9% 76 +0.1 .218/.298/.308 .090.255 810 17% 10% 71 -0.3 .196/.270/.241.044.2461919%9%38-0.9
Luke Carlin
2015 · AAA
34 43 41→45 44→45 51 .211/.283/.309 .098.255 96 21% 9% 66 -0.6 .194/.280/.292 .098.247 77 23% 9% 60 -1.0 .129/.251/.188.059.1730322%12%22-1.2
Jesus Alberto Vega
2016 · AAA
34 45 43→50 46→40 40 .222/.272/.332 .110.300 125 29% 6% 66 -0.6 .216/.263/.315 .099.304 105 31% 5% 58 -1.2 .195/.241/.294.099.27412233%5%40-0.8