Gerardo CardonaC DSL Twins
Age 19 R/R 5'11" / 192 lbs ROK BB +3% Svc 0.0 · Ctrl thru 2037 peak 3.0 · 2033
wRC+†54
AVG/OBP/SLG.201 / .267 / .290
PA69
HR1
K%31
BB%7
MLB%0%
BAT: -3.6 runs (wOBA-derived runs vs avg)-4BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.2 runs (Positional adjustment)+1POSREP: +2.0 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
3.0peak
2033

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+2.9$28M+$27M
2033Ext / FA-deal$1.0M+3.0$30M+$29M
2034Ext / FA-deal$1.0M+3.0$30M+$29M
2035Ext / FA-deal$6M+2.8$29M+$24M
2036Ext / FA-deal$9M+2.7$29M+$20M
2037Ext / FA-deal$12M+2.4$27M+$15M
Totals $29M $172M +$143M

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
202518 ROKDSL Twins 7359 9200 11221 10 .153.296.186.482 .034.231 3015 .231 35 -5 +0 +0 +1 +2 -0.2
▸ 2026 Season
202619 MLBMIN 6963 13211 5211 10 .206.275.317.593 .111.291 307 .256 54 -4 +0 +0 +1 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11%MIN 160144 31513 13472 31 .215.289.326.616 .111.299 298 .285 76 -4 +0 +0 +3 +5 0.3
202821 MLB 28%MIN 301268 601027 26854 61 .224.302.354.656 .131.300 289 .298 86 -5 +1 +0 +5 +9 1.0
202922 MLB 48%MIN 406361 8414311 371115 92 .233.313.380.692 .147.300 279 .307 93 -3 +1 +0 +7 +12 1.7
203023 MLB 65%MIN 476422 9917313 451276 112 .235.317.382.699 .147.301 279 .314 99 -1 +1 +0 +8 +13 2.3
203124 MLB 82%MIN 520459 10918415 501386 122 .237.320.392.713 .155.301 2710 .319 102 +1 +2 +0 +9 +15 2.7
203225 MLBMIN 520458 11018416 511376 122 .240.324.402.726 .162.302 2610 .322 104 +3 +2 +0 +9 +15 2.9
203326 MLBMIN 520457 11018416 521376 122 .241.326.403.729 .162.303 2610 .324 106 +3 +2 +0 +9 +15 3.0
203427 MLBMIN 520456 10918416 531376 122 .239.326.401.728 .162.303 2610 .324 106 +3 +2 +0 +9 +15 3.0
203528 MLBMIN 520456 10818316 531386 112 .237.324.395.719 .158.302 2710 .323 105 +3 +1 -1 +9 +15 2.8
203629 MLBMIN 520455 10818316 541406 101 .237.326.396.722 .158.301 2710 .320 103 +2 +2 -1 +9 +15 2.7
203730 MLBMIN 520455 10517315 541416 91 .231.320.380.701 .149.300 2710 .317 101 +1 +1 -2 +9 +15 2.4
203831 MLBMIN 504441 10217314 521396 60 .231.321.379.699 .147.299 2810 .314 98 -1 +1 -3 +9 +14 2.1
203932 MLBMIN 488429 9716313 501376 40 .226.315.368.684 .142.297 2810 .309 95 -3 +1 -4 +9 +14 1.7
204033 MLBMIN 446392 8814312 461285 20 .224.314.367.681 .143.296 2910 .303 90 -5 +0 -4 +8 +13 1.2
204134 MLBMIN 390343 7512210 401164 10 .219.307.353.660 .134.294 3010 .297 85 -6 +0 -5 +7 +11 0.7
204235 MLBMIN 331292 621028 331013 00 .212.299.342.641 .130.292 3110 .289 79 -8 +0 -6 +6 +9 0.2
204336 MLBMIN 270238 49726 27863 00 .206.295.328.623 .122.289 3210 .280 73 -8 +0 -6 +5 +8 -0.2
204437 MLBMIN 209185 36514 20682 00 .195.280.297.577 .103.285 3310 .271 65 -8 +0 -7 +4 +6 -0.6
▸ Career Totals (MLE all levels + projections)
Career 77636833 156425651212 772215690 12218 .229.315.374.690 .145.300 2810 .309 95 -45 +17 -38 +139 +220 29.8
/ 162G 650572 13021418 651818 102 .227.315.372.688 .145.297 2810 .309 95 -4 +1 -3 +12 +18 2.5

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
202518 ROKDSL Twins 7352 10200 18151 10 .192.408.231.639 .038.256 2125 .316 100 +0 +0 +2 0.2

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
Gerardo Cardona (OGILVIE) 19 .201/.267/.290 .088.291 11 31% 7% 54 -0.2
Tim Beckham
2009 · A
19 42→52 38→55 49→50 38 .202/.248/.282 .080.290 57 31% 5% 43 -2.2 .219/.267/.307 .088.310 510 29% 5% 57 -1.2 .248/.301/.421.173.31922428%6%100+1.3
Andres Regnault
2018 · A
19 39 38→55 47→45 39 .185/.251/.256 .071.289 66 36% 7% 39 -2.5 .226/.287/.352 .126.291 137 26% 6% 79 +0.3 .248/.309/.417.169.29019621%6%103+0.7
Brendan Rodgers
2016 · A
19 43→53 40→50 46→45 39 .205/.255/.298 .093.301 77 33% 6% 50 -1.8 .224/.267/.352 .128.288 145 27% 4% 69 -0.4 .253/.308/.383.131.29813019%6%93+0.8
Pedro Severino
2012 · A
19 38→48 39→50 49→45 40 .187/.241/.272 .084.263 65 30% 6% 37 -2.6 .189/.233/.264 .075.239 53 22% 4% 31 -3.0 .246/.315/.384.137.30417324%8%95+0.7
Lane Thomas
2015 · A
19 45→51 37→55 51→55 43 .210/.271/.289 .080.308 39 31% 8% 54 -1.4 .192/.258/.279 .087.311 612 37% 8% 47 -1.9 .248/.312/.427.179.308211325%7%107+2.0
Alex Liddi
2008 · A
19 41→51 41→60 47→50 36 .200/.246/.304 .104.297 87 34% 5% 48 -1.9 .229/.277/.361 .132.323 128 31% 6% 76 +0.1 .241/.296/.424.182.33620533%6%99+1.7
Wilin Rosario
2008 · A
19 39→49 37→60 45 35 .189/.235/.257 .068.297 66 37% 5% 31 -3.0 .219/.259/.344 .125.302 145 31% 5% 64 -0.8 .265/.302/.457.192.30126421%5%107+1.6
Maikel Franco
2012 · A
19 36→46 38→55 48→40 37 .180/.226/.261 .081.253 64 30% 5% 28 -3.2 .239/.273/.382 .143.277 163 20% 4% 80 +0.4 .263/.299/.434.171.29019217%4%100+1.6
Samad Taylor
2017 · A
19 45→53 38→50 50→65 42 .214/.267/.294 .079.292 59 27% 6% 53 -1.5 .194/.259/.286 .092.272 618 29% 7% 50 -1.8 .236/.312/.377.141.324164630%9%94+0.8
Christian Vázquez
2010 · A
19 43→53 36→50 48→45 40 .200/.257/.272 .072.296 35 32% 6% 43 -2.2 .209/.259/.309 .100.278 103 27% 6% 55 -1.4 .263/.314/.411.148.30118819%7%101+1.2
Amed Rosario
2015 · A
19 39→49 40→50 43→55 36 .196/.231/.287 .092.270 75 30% 4% 37 -2.7 .236/.274/.327 .091.314 412 25% 4% 64 -0.8 .286/.323/.422.136.344121420%5%107+1.7
Jamie Westbrook
2014 · A
19 45→52 39→55 50→45 43 .213/.267/.306 .093.280 46 25% 6% 56 -1.3 .230/.270/.337 .107.280 97 21% 4% 66 -0.6 .245/.316/.386.141.28815420%8%96+1.1
Michael Chavis
2015 · A
19 44→47 38→60 48→45 39 .203/.258/.292 .090.318 48 36% 6% 50 -1.8 .193/.237/.327 .134.278 156 35% 4% 50 -1.7 .235/.292/.438.203.30429332%6%100+1.1
David Bote
2013 · A
20 43→48 38→55 50→45 43 .200/.271/.286 .086.293 48 31% 8% 54 -1.4 .190/.266/.272 .082.263 56 28% 8% 50 -1.8 .234/.308/.397.164.29819627%8%95+1.0
Luis Vázquez
2019 · A
19 40→46 36→50 49→45 39 .193/.237/.259 .066.276 38 30% 5% 32 -3.0 .202/.246/.272 .070.280 410 28% 5% 39 -2.5 .230/.295/.366.136.29817827%6%82+0.3
Michael Wing
2008 · A
19 44→53 37→55 51→40 37 .207/.253/.288 .081.305 46 32% 5% 46 -2.0 .220/.269/.322 .102.300 65 27% 6% 62 -0.9 .244/.285/.411.167.30419326%4%91+0.7
Thairo Estrada
2016 · A
20 44→54 39→50 48→55 41 .211/.264/.302 .090.275 58 24% 5% 55 -1.4 .255/.297/.344 .089.303 89 18% 5% 79 +0.3 .270/.326/.420.150.314172119%5%108+1.8
Yonathan Perlaza
2018 · A
19 40→50 37→60 48→50 37 .195/.235/.273 .078.279 412 31% 5% 34 -2.8 .213/.257/.285 .072.313 49 31% 6% 46 -2.0 .235/.307/.417.182.303191228%9%100+1.6
Tyler Stephenson
2017 · A
20 41→51 38→50 43→30 39 .197/.249/.277 .080.290 63 33% 6% 42 -2.3 .216/.283/.315 .099.290 93 27% 7% 67 -0.5 .253/.327/.399.146.32316125%9%102+1.3
Vaughn Grissom
2021 · A
20 44→54 39→50 51→55 44 .214/.271/.302 .088.272 76 23% 6% 58 -1.2 .265/.329/.388 .123.318 1115 19% 7% 105 +2.1 .283/.348/.417.134.334121718%7%116+2.4