Kade KretzschmarOF Palm Beach Cardinals
Age 26 L/R 6'1" / 205 lbs A HR -7%K -4% Svc 0.0 · Ctrl thru 2036
wRC+†78
AVG/OBP/SLG.215 / .297 / .329
PA144
HR3
K%27
BB%9
MLB%0%
BAT: -3.6 runs (wOBA-derived runs vs avg)-4BATRUN: -0.0 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.9 runs (Positional adjustment)-1POSREP: +4.1 runs (Replacement-level credit)+4REPTotal WAR: -0.00-0.0WAR
Scouting · nowfuture
HIT
4040
PWR
3131
SPD
4747
EYE
5454
trajectory · 10 yrs
0.1peak
2028

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2031
Service   0 yrs (est)
Team Control Through   2036
First FA Year   2037
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2031
2027MiLBstill in minors · estimated debut 2031
2028MiLBstill in minors · estimated debut 2031
2029MiLBstill in minors · estimated debut 2031
2030MiLBstill in minors · estimated debut 2031
2031Arb-3$0.9M
2032Ext / FA-deal$0.9M
2033Ext / FA-deal$1.0M
2034Ext / FA-deal$0.2M
2035Extbeyond projection horizon · no WAR estimate
2036Extbeyond projection horizon · no WAR estimate
Totals $0.3M $-13M -$13M

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
202323 APalm Beach Cardinals 9278 23411 10244 31 .295.402.410.812 .115.415 2611 .347 124 +2 +0 +0 -1 +3 0.5
202424 A2 teams 356310 60732 321009 73 .194.288.255.543 .061.274 289 .251 50 -20 +0 +0 -2 +10 -1.2
▸ 2026 Season
202626 MLBSTL 144128 28513 13392 21 .219.301.344.644 .125.287 279 .287 78 -4 +0 +0 -1 +4 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202727 MLB 10%STL 150134 29513 13402 31 .216.295.336.631 .119.287 279 .291 81 -3 +0 +0 -1 +4 0.0
202828 MLB 20%STL 241214 47915 21644 41 .220.301.341.642 .121.288 279 .292 82 -5 +0 -1 -1 +7 0.0
202929 MLB 34%STL 294262 571026 26784 51 .218.298.340.638 .122.287 279 .292 81 -6 +1 -1 -2 +8 -0.0
203030 MLB 48%STL 327290 641227 29885 51 .221.302.348.651 .128.286 279 .289 80 -8 +1 -2 -2 +9 -0.2
203131 MLB 56%STL 337299 651227 30925 41 .217.299.341.641 .124.284 279 .285 77 -9 +0 -3 -2 +10 -0.4
203232 MLB 67%STL 334296 631126 30935 40 .213.296.324.620 .111.283 289 .281 73 -10 +1 -4 -2 +9 -0.5
203333 MLB 76%STL 315279 581025 28905 40 .208.292.312.603 .104.281 299 .276 69 -11 +1 -4 -2 +9 -0.8
203434 MLB 83%STL 277247 49914 24814 30 .198.280.291.571 .093.280 299 .269 64 -11 +1 -5 -2 +8 -0.9
▸ Career Totals (MLE all levels + projections)
Career 28672537 543941849 25678949 4410 .214.298.323.622 .109.288 289 .282 74 -85 +5 -20 -17 +81 -3.6
/ 162G 650575 12321411 5817911 102 .214.298.322.620 .108.288 289 .282 74 -19 +1 -4 -4 +18 -0.8

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
202323 APalm Beach Cardinals 9275 25411 13164 31 .333.457.453.910 .120.414 1714 .413 175 +8 +0 +3 1.1
202424 A+Peoria Chiefs 4439 7000 4120 10 .179.256.179.435 .000.259 279 .207 17 -4 +0 +1 -0.3
202424 APalm Beach Cardinals 312260 711142 39569 63 .273.386.369.756 .096.335 1812 .344 122 +8 +0 +9 1.7

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
Kade Kretzschmar (OGILVIE) 26 40 31 47 54 .215/.297/.329 .114.287 32 27% 9% 78 +0.0
Daniel Nunez
2008 · AAA
26 44→51 42→30 45→50 44 .214/.280/.318 .104.292 1011 29% 8% 66 -0.6 .216/.275/.307 .091.300 812 29% 6% 61 -1.0 .247/.326/.322.075.31441421%7%85+0.3
Nathan Panther
2007 · AA
26 44→43 42→45 45 46 .215/.277/.319 .103.272 98 24% 7% 65 -0.7 .226/.295/.355 .129.281 127 23% 8% 82 +0.5 .229/.305/.375.146.27615622%9%88+0.5
Chase Calabuig
2022 · AA
26 42→52 39→40 44→45 49 .206/.278/.287 .081.268 86 25% 9% 58 -1.2 .246/.307/.366 .120.290 115 18% 8% 89 +1.0 .277/.336/.411.134.31811316%8%109+1.2
Adam Melker
2014 · AA
26 47 41→40 44→50 42 .226/.276/.321 .095.296 99 26% 6% 65 -0.7 .234/.279/.332 .098.292 1013 23% 5% 69 -0.4 .245/.287/.319.074.29491820%4%64-0.4
Shayne Fontana
2022 · AA
25 41 42→45 48→55 46 .197/.276/.303 .106.284 99 32% 9% 61 -1.0 .215/.297/.325 .110.300 1114 30% 9% 76 +0.1 .222/.305/.326.104.296111927%8%77+0.1
Chantz Mack
2017 · AA
26 45→47 44→45 45 47 .222/.290/.336 .113.293 115 27% 8% 75 -0.0 .216/.293/.320 .104.299 106 28% 10% 72 -0.2 .153/.267/.207.054.2125027%14%32-0.5
Bryce Windham
2023 · AA
26 43 41→40 47→50 53 .211/.287/.306 .095.253 86 20% 9% 66 -0.6 .226/.291/.317 .091.293 611 23% 8% 70 -0.3 .240/.299/.327.087.32031524%8%73-0.0
Nick Baligod
2013 · A
25 48 44→40 49→45 47 .235/.294/.352 .117.288 117 22% 7% 81 +0.4 .239/.292/.329 .090.272 67 14% 7% 73 -0.1 .241/.295/.318.077.2695612%6%68-0.3
Greg Cullen
2022 · AA
25 45→42 42→40 42→40 50 .217/.304/.324 .107.280 104 25% 9% 79 +0.3 .236/.327/.346 .110.320 116 27% 11% 94 +1.3 .236/.337/.336.100.32111527%11%93+0.5
Richard Lane
2006 · AA
26 48 41→40 43→40 50 .230/.301/.332 .102.286 75 21% 8% 79 +0.3 .207/.255/.300 .093.271 65 25% 6% 50 -1.7 .177/.208/.254.076.2354226%3%15-1.7
Austin Davidson
2018 · A
25 43 42→45 45 45 .210/.273/.315 .104.261 97 23% 7% 63 -0.9 .225/.286/.345 .120.282 106 23% 7% 76 +0.0 .224/.288/.352.128.27511322%7%75-0.0
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
Reid Fronk
2011 · A
25 44→48 41→45 47→50 48 .211/.297/.318 .107.282 89 26% 9% 75 -0.0 .199/.281/.288 .089.290 57 30% 9% 59 -1.1 .170/.256/.249.079.2595433%9%37-1.6
Will Toffey
2021 · AA
26 43 43→45 46→50 49 .208/.295/.324 .116.301 107 32% 10% 75 -0.0 .202/.286/.331 .129.342 1312 41% 9% 73 -0.1 .185/.274/.320.135.321131343%9%62-0.4
Cal Towey
2016 · AA
26 46→49 42→45 49→50 45 .214/.297/.319 .105.319 813 33% 9% 75 -0.0 .201/.284/.304 .103.318 910 36% 9% 66 -0.6 .189/.280/.295.106.3039937%10%59-0.8
Mike Papi
2019 · AAA
26 44→47 46→45 45 49 .220/.298/.347 .127.290 135 28% 9% 82 +0.5 .217/.284/.324 .107.302 97 29% 8% 69 -0.4 .167/.226/.209.042.2480030%6%12-0.7
Carlos Alvarez
2014 · AAA
26 46 45 46→45 47 .226/.287/.350 .124.279 127 23% 8% 77 +0.1 .234/.306/.341 .107.284 98 19% 9% 83 +0.6 .249/.327/.336.087.3006618%9%89+0.4
Justin Howard
2014 · AA
26 52→45 41→45 41→45 47 .243/.309/.345 .102.325 87 26% 8% 85 +0.7 .232/.292/.349 .117.323 107 29% 7% 79 +0.3 .206/.266/.324.118.2959331%5%58-0.6
Luis González
2021 · AA
25 45→50 44→45 46→50 44 .224/.275/.340 .116.281 1111 24% 6% 69 -0.4 .227/.297/.343 .116.291 1218 25% 8% 80 +0.4 .230/.308/.344.114.294122225%9%81+0.2
Mitchell Tolman
2019 · A
25 44→47 40→45 45→50 48 .211/.286/.301 .089.282 79 26% 8% 65 -0.7 .212/.281/.308 .096.301 89 30% 8% 65 -0.7 .215/.285/.332.118.28411827%7%70-0.2