Brady CerkownykC FCL Tigers
Age 23 R/R 6'0" / 190 lbs ROK HR +5%H +3% Svc 0.0 · Ctrl thru 2037 peak 1.0 · 2030
wRC+†53
AVG/OBP/SLG.201 / .265 / .290
PA75
HR1
K%31
BB%7
MLB%0%
BAT: -4.0 runs (wOBA-derived runs vs avg)-4BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.3 runs (Positional adjustment)+1POSREP: +2.1 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
1.0peak
2030

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2032
Service   0 yrs (est)
Team Control Through   2037
First FA Year   2038
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2032
2027MiLBstill in minors · estimated debut 2032
2028MiLBstill in minors · estimated debut 2032
2029MiLBstill in minors · estimated debut 2032
2030MiLBstill in minors · estimated debut 2032
2031MiLBstill in minors · estimated debut 2032
2032Ext / FA-deal$0.9M+0.8$4M+$3M
2033Ext / FA-deal$1.0M+0.6$3M+$2M
2034Ext / FA-deal$1.0M+0.3$2M+$0.5M
2035Ext / FA-deal$3M+0.1$0.5M-$2M
2036Ext / FA-deal$0.4M
2037Ext / FA-deal$0.6M
Totals $7M $5M -$2M
Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
202522 ROKFCL Tigers 8275 13102 4323 10 .173.244.267.511 .093.268 395 .206 16 -8 +0 +0 +1 +2 -0.4
▸ 2026 Season
202623 MLBDET 7569 14211 5231 10 .203.267.304.571 .101.290 317 .255 53 -4 +0 +0 +1 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 10%DET 146133 29513 11441 20 .218.283.338.621 .120.292 308 .272 66 -6 +0 +0 +3 +4 0.2
202825 MLB 25%DET 251226 49825 20743 31 .217.289.336.625 .119.294 298 .283 75 -7 +0 +0 +4 +7 0.5
202926 MLB 42%DET 326294 651128 26953 41 .221.291.354.645 .133.295 298 .289 80 -7 +0 +0 +6 +9 0.8
203027 MLB 58%DET 366329 721229 301064 51 .219.292.350.642 .131.295 298 .290 80 -8 +1 +0 +7 +10 1.0
203128 MLB 68%DET 390351 771339 321144 51 .219.292.350.642 .131.295 298 .289 80 -9 +1 -1 +7 +11 0.9
203229 MLB 77%DET 398358 781339 331174 40 .218.291.346.638 .128.294 298 .287 78 -10 +1 -1 +7 +11 0.8
203330 MLB 84%DET 400360 781339 331194 30 .217.290.344.634 .128.292 308 .284 76 -11 +1 -2 +7 +11 0.6
203431 MLB 91%DET 380342 721228 311154 10 .211.284.327.611 .117.291 308 .280 73 -12 +0 -3 +7 +11 0.3
203532 MLBDET 355320 661127 291093 00 .206.278.319.597 .112.289 318 .276 69 -12 +0 -4 +6 +10 0.1
203633 MLBDET 319287 591026 261003 00 .206.278.317.596 .111.288 318 .270 65 -13 +0 -4 +6 +9 -0.2
203734 MLBDET 271245 50825 22872 00 .204.275.314.589 .110.286 328 .264 60 -12 +0 -5 +5 +8 -0.5
▸ Career Totals (MLE all levels + projections)
Career 37593389 7221192581 302113539 294 .213.285.335.620 .122.292 308 .279 72 -119 +4 -20 +67 +107 4.0
/ 162G 650586 12521414 521967 51 .213.285.334.620 .121.293 308 .279 72 -21 +1 -3 +12 +18 0.7

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
202522 ROKFCL Tigers 8273 16102 6223 10 .219.305.315.620 .096.286 277 .288 78 -2 +0 +2 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
Brady Cerkownyk (OGILVIE) 23 .201/.265/.290 .090.290 11 31% 7% 53 -0.2
Juan Uriarte
2021 · A
23 38 41→45 48→30 32 .190/.229/.285 .095.284 96 36% 4% 36 -2.7 .195/.244/.278 .083.290 66 33% 4% 40 -2.4 .151/.199/.200.049.2340033%2%-2-1.2
Andy Paz
2016 · A
23 39 37→40 48→45 43 .187/.248/.258 .071.267 55 31% 8% 37 -2.6 .224/.274/.290 .066.298 47 24% 7% 55 -1.4 .235/.280/.283.048.3033722%6%52-0.5
Steven Baron
2014 · A
23 36 40→45 52→50 36 .183/.218/.281 .098.255 79 31% 4% 30 -3.1 .212/.258/.297 .085.293 59 28% 6% 50 -1.7 .233/.289/.308.075.3134825%7%63-0.4
Nick Quintana
2021 · A
23 39→40 39→45 49→45 37 .187/.241/.273 .085.291 69 36% 6% 37 -2.6 .183/.266/.292 .109.257 115 31% 9% 55 -1.4 .165/.258/.271.106.22711331%10%44-1.1
Marcos Castañon
2022 · A
23 40→49 42→50 49→40 35 .195/.249/.300 .105.304 96 37% 5% 49 -1.8 .213/.290/.368 .155.286 192 31% 8% 85 +0.7 .208/.282/.358.150.27119130%8%76+0.1
David Sheaffer
2019 · A
24 37 42→55 52→40 39 .188/.235/.290 .102.252 107 29% 5% 40 -2.4 .209/.253/.332 .123.291 135 32% 5% 59 -1.1 .191/.236/.303.112.26912133%5%42-0.7
Randy Florentino
2023 · A
23 36 41→50 47→45 40 .183/.244/.273 .090.273 97 35% 7% 40 -2.4 .196/.244/.284 .088.259 96 27% 6% 42 -2.3 .184/.224/.260.076.2317423%4%25-1.0
Jose Sibrian
2022 · A
23 42 36→50 48→30 38 .198/.246/.264 .066.277 35 29% 5% 37 -2.6 .210/.269/.304 .094.272 83 25% 5% 58 -1.2 .214/.277/.324.110.26411023%5%64-0.3
Grayson Greiner
2016 · A
23 38 38→45 46→30 37 .185/.238/.260 .075.283 63 35% 6% 33 -2.9 .212/.264/.314 .102.298 93 30% 6% 58 -1.2 .218/.278/.331.113.29311028%7%66-0.4
Corey Joyce
2022 · AA
23 41 39→45 53→50 39 .193/.262/.274 .080.300 713 36% 7% 48 -1.9 .208/.307/.328 .120.294 1212 31% 10% 82 +0.5 .212/.315/.318.105.30191429%10%80+0.2
Dylan Neuse
2023 · A
24 37 39→40 49→50 44 .183/.260/.264 .081.271 814 33% 9% 45 -2.1 .205/.286/.296 .091.292 713 29% 9% 63 -0.8 .211/.301/.305.094.29351327%10%72-0.1
Brian Ruggiano
2009 · A
23 40→44 38→45 54→55 38 .192/.247/.277 .085.295 510 35% 6% 41 -2.3 .215/.269/.322 .107.306 914 31% 6% 63 -0.9 .218/.273/.332.114.29991529%5%64-0.4
Carson Blair
2013 · A
23 35 43→50 43→30 38 .178/.239/.287 .110.282 106 39% 7% 41 -2.3 .197/.269/.330 .133.320 124 39% 8% 66 -0.6 .192/.271/.336.144.31514140%9%65-0.3
Blaze Alexander
2022 · A
23 38→48 42→50 52→50 39 .185/.256/.288 .103.292 1114 38% 7% 49 -1.8 .218/.290/.354 .136.331 1511 36% 7% 81 +0.4 .220/.308/.345.126.328131034%8%84+0.4
Travis Mattair
2012 · A
23 39→44 40→45 50→45 38 .193/.244/.285 .092.281 77 33% 6% 42 -2.3 .212/.264/.333 .121.286 134 29% 6% 63 -0.8 .209/.261/.330.121.27814229%6%58-1.1
Luis De Los Santos
2021 · A
23 40→49 41→45 49→45 37 .197/.246/.296 .098.279 88 32% 5% 46 -2.0 .220/.267/.345 .125.300 136 30% 5% 68 -0.5 .219/.284/.338.119.29513729%7%70-0.2
Shane Zeile
2016 · A
23 40 38→50 48→40 41 .195/.249/.277 .082.264 55 28% 6% 42 -2.3 .208/.256/.313 .105.276 86 26% 5% 54 -1.4 .204/.249/.339.135.25910325%4%57-0.5
Ben Gobbel
2023 · A
23 42→40 37→45 47→50 41 .200/.260/.270 .071.284 47 30% 6% 46 -2.0 .210/.269/.323 .113.290 1213 30% 6% 63 -0.8 .206/.261/.335.128.272151329%5%58-0.7
Skye Bolt
2017 · A
23 41→39 40→50 47→50 42 .198/.260/.294 .095.271 79 28% 6% 52 -1.6 .200/.260/.327 .127.289 1210 33% 7% 60 -1.0 .234/.302/.369.135.310151228%8%86+0.3
Jorge Saez
2014 · A
23 39 39→45 49→30 44 .190/.251/.274 .084.256 76 28% 7% 43 -2.2 .197/.265/.293 .096.279 83 30% 8% 53 -1.5 .208/.272/.349.141.28920334%7%69-0.1