Tony KempLF Louisville Bats
Age 34 L/R 5'6" / 160 lbs AAA HR +9%K -4% Svc 10.000 · Ctrl thru 2026 peak 1.1 · 2026
wRC+†95
AVG/OBP/SLG.243 / .321 / .358
PA342
HR6
SB8
K%12
BB%9
MLB%10%
BAT: -2.0 runs (wOBA-derived runs vs avg)-2BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: +1.1 runs (Defensive runs vs avg)+1FLDPOS: +1.2 runs (Positional adjustment)+1POSREP: +9.7 runs (Replacement-level credit)+10REPTotal WAR: +1.10+1.1WAR
Scouting · nowfuture
HIT
6868
PWR
3434
SPD
4242
EYE
4654
trajectory · 10 yrs
0.2peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   FA
MLB Debut   2016
Service   10.000 yrs.days
Team Control Through   2026
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Ext / FA-deal$1M+1.1$9M+$8M
Totals $1M $9M +$8M

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
201321 AQuad Cities River Bandits 120103 24111 14222 42 .233.336.291.627 .058.287 1812 .273 67 -4 +0 +0 +0 +3 -0.1
201422 A+2 teams 631550 1592887 519115 4113 .289.365.407.773 .118.333 148 .333 113 +9 +3 +0 +2 +18 3.3
201523 AAA2 teams 541480 1381742 40856 3514 .287.350.352.702 .065.343 167 .306 92 -5 +1 +0 +2 +15 1.4
201624 AAA2 teams 437385 1001253 38712 129 .260.329.340.670 .081.309 169 .292 81 -9 -1 -1 -5 +12 -0.4
201725 AAA2 teams 593554 1612258 25614 257 .291.326.392.718 .101.314 104 .309 94 -4 +2 -0 -6 +17 0.9
201826 MLB2 teams 478424 1202146 44644 225 .283.356.394.750 .111.320 139 .326 108 +4 +2 -3 -5 +14 1.2
201927 MLBChicago Cubs 279245 49929 23476 44 .200.285.363.648 .163.207 178 .276 69 -10 -1 +5 +1 +8 0.4
202028 MLBOakland Athletics 11493 23500 15143 31 .247.369.301.670 .054.284 1213 .307 93 -1 +0 +1 +0 +3 0.4
202129 MLBOakland Athletics 397330 941639 52516 82 .285.392.433.825 .148.309 1313 .357 131 +14 +1 +1 +1 +11 2.8
202230 MLBOakland Athletics 558497 1202328 45698 111 .241.315.344.659 .103.265 128 .290 80 -12 +2 +0 +2 +16 0.8
202331 MLBOakland Athletics 419359 761135 44406 154 .212.308.301.609 .089.224 1011 .275 69 -15 +1 -2 -4 +12 -0.9
202432 AAALouisville Bats 326295 671017 23435 82 .227.294.339.633 .112.242 137 .281 73 -10 +1 +0 +1 +9 0.2
▸ 2026 Season
202634 MLBCIN 342303 751326 31425 83 .248.327.363.690 .116.265 129 .309 95 -2 +0 +1 +1 +10 1.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202735 MLB 20%CIN 282251 611025 25384 62 .243.321.359.680 .116.262 139 .301 88 -4 +0 -5 +1 +8 0.1
▸ Career Totals (MLE all levels + projections)
Career 55174869 12671984276 47073876 20269 .260.335.365.700 .105.291 139 .306 92 -48 +13 -3 -8 +156 11.2
/ 162G 650574 1492359 55879 248 .260.334.364.698 .105.290 138 .306 92 -6 +2 -0 -1 +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
201321 AQuad Cities River Bandits 12098 25111 19182 42 .255.387.316.703 .061.304 1516 .330 111 +1 +0 +3 0.5
201422 AACorpus Christi Hooks 275233 681144 28327 136 .292.384.425.809 .133.322 1210 .356 131 +10 +0 +8 1.8
201422 A+Lancaster JetHawks 356295 991944 45358 287 .336.437.468.905 .132.367 1013 .398 163 +25 +3 +10 3.9
201523 AAAFresno Grizzlies 311271 74933 21375 206 .273.337.362.698 .089.305 127 .303 90 -3 +2 +9 0.7
201523 AACorpus Christi Hooks 230193 691010 35281 158 .358.459.420.878 .062.416 1215 .400 165 +17 -0 +7 2.4
201624 MLBHouston Astros 136120 26431 14270 21 .217.299.325.624 .108.269 2010 .280 73 -4 +0 -1 -5 +4 -0.6
201624 AAAFresno Grizzlies 301255 78942 34342 108 .306.392.396.788 .090.344 1111 .347 124 +8 -1 +9 1.6
201725 MLBHouston Astros 3937 8100 151 10 .216.256.243.500 .027.250 133 .232 36 -3 +0 -0 -6 +1 -0.8
201725 AAAFresno Grizzlies 554504 16623910 35433 247 .329.375.470.845 .141.344 86 .368 140 +25 +2 +16 4.3
201826 MLBHouston Astros 295255 671506 32443 93 .263.351.392.743 .129.296 1511 .332 112 +4 +1 -3 -5 +8 0.5
201826 AAAFresno Grizzlies 183161 54650 19151 132 .335.409.435.844 .099.367 810 .375 145 +9 +2 +5 1.7
201927 MLBChicago Cubs 279245 52948 23476 44 .212.296.380.675 .167.227 178 .298 86 -4 -1 +5 +1 +8 0.9
202028 MLBOakland Athletics 11493 23500 15143 31 .247.369.301.670 .054.284 1213 .310 96 -1 +0 +1 +0 +3 0.4
202129 MLBOakland Athletics 397330 921638 52516 82 .279.387.418.805 .139.304 1313 .357 131 +14 +1 +1 +1 +11 2.8
202230 MLBOakland Athletics 558497 1172427 45698 111 .235.309.334.643 .099.259 128 .290 80 -12 +2 +0 +2 +16 0.7
202331 MLBOakland Athletics 419359 751335 44406 154 .209.306.304.609 .095.221 1011 .277 70 -14 +1 -2 -4 +12 -0.8
202432 AAALouisville Bats 326283 741219 35365 82 .261.353.406.759 .145.270 1111 .340 119 +7 +1 +9 1.7
▸ Career Totals (raw MLB only — historical actual)
MLB Career 22371936 460871535 22629733 5316 .238.327.352.680 .115.262 1310 .305 92 -21 +4 +1 -16 +63 3.2

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
Tony Kemp (OGILVIE) 34 68 34 42 54 .243/.321/.358 .115.265 68 12% 9% 95 +0.8
Orlando Palmeiro
2004 · MLB
35 56 38→40 44→50 58 .261/.331/.340 .079.280 510 9% 9% 92 +1.2 .256/.326/.364 .108.279 88 11% 9% 97 +1.5 .256/.324/.368.111.2837611%8%93+0.4
Norichika Aoki
2016 · MLB
34 59→62 39→45 50→55 56 .282/.347/.369 .087.297 618 8% 8% 107 +2.2 .279/.340/.386 .107.305 814 11% 7% 108 +2.3 .284/.345/.392.108.31471311%7%109+1.9
Gerardo Parra
2021 · MLB
34 50→60 45→50 49→55 49 .246/.308/.365 .118.286 1314 18% 7% 90 +1.0 .231/.306/.361 .130.293 1310 24% 9% 89 +0.9 .214/.297/.314.100.2839626%10%70-0.1
Yosmany Guerra
2017 · AAA
34 54→60 40→45 43→45 53 .259/.323/.354 .095.298 78 15% 8% 92 +1.2 .266/.321/.377 .111.309 67 15% 7% 98 +1.6 .276/.332/.398.122.3216515%7%106+1.6
Joe Thurston
2014 · AAA
34 49→58 44→45 47→50 49 .238/.307/.356 .119.281 1112 19% 8% 88 +0.9 .237/.298/.335 .098.275 910 16% 7% 78 +0.2 .241/.300/.316.076.2736714%7%71-0.2
Jose Espinoza
2008 · AAA
34 56→57 43→45 43→45 52 .270/.334/.385 .116.307 96 15% 8% 106 +2.2 .264/.323/.366 .102.313 99 18% 7% 96 +1.5 .269/.329/.360.091.3218818%7%93+0.8
Pablo Ozuna
2009 · MLB
34 54 41→40 45→55 48 .260/.303/.364 .103.278 813 10% 5% 87 +0.8 .248/.296/.353 .105.283 714 14% 5% 81 +0.4 .269/.309/.358.088.31702014%3%83+0.2
Wilfredo Arano
2010 · AAA
34 55 39→45 40→45 51 .259/.308/.335 .077.270 75 8% 6% 82 +0.5 .256/.308/.334 .078.281 66 11% 6% 81 +0.4 .293/.342/.349.056.310306%6%98+0.4
Mark Kotsay
2010 · MLB
34 54→63 42→50 43→50 53 .259/.312/.369 .111.276 97 10% 7% 92 +1.2 .251/.310/.366 .115.270 106 11% 8% 91 +1.1 .247/.310/.353.106.2649310%8%78+0.1
Denard Span
2018 · MLB
34 54→64 47→50 49→55 54 .267/.328/.406 .140.284 1414 12% 8% 108 +2.3 .260/.333/.412 .152.291 1412 15% 9% 112 +2.6 .261/.346/.415.154.299121116%10%115+2.3
Howie Clark
2008 · MLB
34 52→58 40 46→40 53 .248/.304/.340 .092.264 87 10% 7% 81 +0.4 .255/.297/.361 .106.273 96 10% 5% 83 +0.6 .272/.311/.376.105.289739%5%90+0.7
Tike Redman
2011 · AAA
34 58→60 40→45 49→55 54 .276/.334/.377 .101.302 714 11% 8% 103 +1.9 .258/.325/.349 .091.294 512 13% 9% 92 +1.2 .259/.332/.310.051.3020813%9%82+0.3
Skip Schumaker
2014 · MLB
34 56→64 38→45 41→50 52 .264/.326/.347 .084.306 44 15% 8% 92 +1.2 .247/.308/.338 .091.300 56 18% 8% 82 +0.5 .240/.299/.323.082.2973419%8%69-0.2
Jésus Feliciano
2013 · MLB
34 55→63 35→40 44→50 46 .259/.295/.320 .060.286 39 11% 4% 72 -0.2 .241/.279/.324 .083.271 711 14% 4% 66 -0.6 .245/.278/.313.068.26981312%4%59-0.3
Hector Garanzuay
2015 · AAA
34 57→61 44→45 39→50 47 .279/.319/.398 .119.312 126 15% 5% 103 +1.9 .257/.304/.350 .093.291 96 14% 6% 84 +0.6 .247/.301/.310.064.2776413%6%72-0.1
Luis Borges
2014 · AAA
34 59→68 36→40 40→45 47 .276/.310/.345 .068.301 37 10% 4% 84 +0.6 .282/.305/.348 .066.307 36 9% 3% 82 +0.5 .290/.307/.342.052.312237%2%77+0.1
Brady Clark
2007 · MLB
34 58→62 42→45 41→50 56 .278/.358/.383 .105.300 910 11% 9% 116 +2.8 .257/.336/.360 .103.292 87 14% 9% 101 +1.8 .256/.342/.349.092.3082516%9%93+0.4
Irving Falu
2017 · MLB
34 55→63 39→40 47→55 49 .261/.301/.348 .086.285 715 11% 5% 81 +0.4 .252/.292/.349 .097.274 912 11% 5% 79 +0.3 .250/.292/.338.088.27081110%5%72-0.2
Quinton McCracken
2005 · MLB
34 54→63 40 47→50 51 .258/.315/.366 .108.300 610 16% 8% 92 +1.2 .241/.301/.330 .089.279 711 15% 8% 77 +0.1 .242/.301/.308.066.28241015%8%63-0.3
Craig Counsell
2004 · MLB
33 55→60 38→45 46→55 60 .258/.337/.340 .082.286 511 12% 10% 95 +1.4 .247/.332/.341 .094.279 618 13% 10% 94 +1.3 .244/.335/.346.102.27071911%11%92+0.9