Johmphy De La CruzSS DSL Rangers Blue
Age 19 R/R 6'0" / 180 lbs ROK K +3% Svc 0.0 · Ctrl thru 2037 peak 2.9 · 2033
wRC+†53
AVG/OBP/SLG.197 / .265 / .288
PA76
HR1
K%32
BB%7
MLB%0%
BAT: -4.1 runs (wOBA-derived runs vs avg)-4BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.8 runs (Positional adjustment)+1POSREP: +2.2 runs (Replacement-level credit)+2REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
3.0peak
2034

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+2.7$26M+$25M
2033Ext / FA-deal$1.0M+2.9$29M+$28M
2034Ext / FA-deal$1.0M+2.9$29M+$28M
2035Ext / FA-deal$6M+2.8$29M+$23M
2036Ext / FA-deal$9M+2.6$28M+$19M
2037Ext / FA-deal$12M+2.3$25M+$14M
Totals $29M $166M +$137M

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
202417 ROKDSL Rangers Blue 163139 11300 22941 105 .079.210.101.311 .022.239 5813 .159 -20 -22 +0 +0 +2 +5 -1.6
▸ 2026 Season
202619 MLBTEX 7669 14211 6241 10 .203.276.304.581 .101.290 328 .254 53 -4 +0 +0 +1 +2 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11%TEX 124112 24412 10381 21 .214.285.321.606 .107.298 318 .283 75 -4 +0 +0 +1 +4 0.1
202821 MLB 28%TEX 276246 561027 25793 61 .228.307.370.676 .142.300 299 .301 88 -4 +1 +0 +3 +8 0.8
202922 MLB 48%TEX 390345 8014311 371095 92 .232.315.386.701 .154.300 289 .310 95 -2 +1 +0 +4 +11 1.4
203023 MLB 65%TEX 467412 9717314 461286 112 .235.321.393.714 .158.300 2710 .317 100 +0 +1 +0 +5 +13 2.0
203124 MLB 82%TEX 519456 10718316 521406 133 .235.321.393.714 .158.301 2710 .321 104 +2 +1 +0 +6 +15 2.4
203225 MLBTEX 550482 11520417 561487 143 .239.327.402.729 .164.301 2710 .324 106 +4 +2 +0 +6 +16 2.7
203326 MLBTEX 567496 11820418 591527 143 .238.327.403.731 .165.302 2710 .326 107 +5 +2 +0 +6 +16 2.9
203427 MLBTEX 574501 11920418 611557 143 .238.329.401.730 .164.302 2711 .326 107 +5 +2 +0 +6 +16 2.9
203528 MLBTEX 574501 11820418 611567 132 .236.327.399.726 .164.301 2711 .324 106 +4 +2 -1 +6 +16 2.8
203629 MLBTEX 566493 11620318 611557 122 .235.328.398.726 .162.301 2711 .322 105 +3 +2 -1 +6 +16 2.6
203730 MLBTEX 558486 11219317 601557 101 .230.324.387.711 .156.299 2811 .319 102 +2 +2 -2 +6 +16 2.3
203831 MLBTEX 545476 10818316 581536 80 .227.319.378.697 .151.298 2811 .315 100 -0 +2 -3 +6 +15 2.0
203932 MLBTEX 527460 10317315 561516 50 .224.316.372.688 .148.296 2911 .311 96 -2 +1 -4 +6 +15 1.6
204033 MLBTEX 498436 9716314 531466 30 .222.315.369.684 .147.295 2911 .305 92 -5 +1 -4 +5 +14 1.1
204134 MLBTEX 451395 8514212 481365 10 .215.308.352.660 .137.293 3011 .299 87 -7 +0 -5 +5 +13 0.6
204235 MLBTEX 396348 7312210 411244 00 .210.300.342.642 .132.291 3110 .291 81 -9 +0 -6 +4 +11 0.1
204336 MLBTEX 337296 611028 351093 00 .206.296.334.631 .128.288 3210 .282 74 -10 +0 -6 +4 +10 -0.3
204437 MLBTEX 272239 47716 28903 00 .197.289.310.599 .113.284 3310 .272 67 -10 +0 -7 +3 +8 -0.7
▸ Career Totals (MLE all levels + projections)
Career 84307388 166128151238 875244298 14628 .225.315.373.688 .148.300 2910 .309 94 -54 +18 -38 +90 +239 26.0
/ 162G 650570 12822418 671888 112 .225.315.372.687 .147.300 2910 .309 94 -4 +1 -3 +7 +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
202417 ROKDSL Rangers Blue 163129 20500 32641 105 .155.327.194.521 .039.303 3920 .264 60 -7 +0 +5 -0.3

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
Johmphy De La Cruz (OGILVIE) 19 .197/.265/.288 .090.290 11 32% 7% 53 -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
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
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
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
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
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
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
Derek Norris
2009 · A
20 40→50 42→55 49→50 43 .194/.269/.300 .106.295 96 35% 9% 58 -1.2 .209/.301/.372 .163.281 206 31% 11% 91 +1.1 .254/.332/.403.149.31115522%10%106+1.6
Agustín Ramírez
2021 · A
19 40→45 41→55 46→50 40 .199/.248/.293 .095.266 85 28% 5% 46 -2.0 .208/.268/.334 .126.284 138 30% 7% 66 -0.6 .230/.293/.405.176.264221622%7%92+1.1
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
Renato Núñez
2013 · A
19 44→51 43→60 48→30 38 .215/.262/.330 .115.285 95 27% 4% 61 -1.0 .213/.253/.351 .138.277 173 29% 4% 64 -0.8 .238/.308/.452.215.27831126%7%111+1.7
Davis Schneider
2018 · A
19 40→44 41→55 48→50 50 .198/.276/.300 .102.259 86 26% 9% 60 -1.0 .193/.268/.290 .097.299 87 35% 8% 54 -1.4 .213/.322/.409.196.27524930%12%106+1.6
Aaron Altherr
2010 · A
19 42→51 38→55 51→50 43 .201/.253/.279 .078.267 511 26% 6% 44 -2.1 .200/.241/.279 .079.282 616 30% 4% 38 -2.6 .244/.318/.420.176.303171424%8%104+1.5
Ezequiel Tovar
2021 · A
19 44→50 37→55 50 44 .206/.273/.280 .074.302 314 31% 8% 53 -1.5 .239/.275/.375 .136.286 1415 22% 4% 79 +0.3 .251/.287/.420.170.321191128%4%93+1.2
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
Heliot Ramos
2019 · A
19 41→51 43→55 47→50 33 .202/.246/.317 .115.301 118 36% 4% 52 -1.6 .215/.268/.348 .133.317 159 35% 6% 69 -0.4 .256/.322/.432.177.31922826%7%112+2.4
Joe Benson
2007 · A
19 42→50 42→60 46→50 41 .206/.256/.312 .106.277 810 28% 6% 54 -1.4 .214/.282/.309 .095.312 613 31% 7% 65 -0.7 .231/.309/.414.183.319191532%8%101+1.4
Eloy Jiménez
2016 · A
19 40→50 40→65 49→40 39 .197/.240/.291 .094.269 77 29% 5% 41 -2.3 .251/.286/.404 .153.321 164 26% 4% 91 +1.1 .273/.314/.492.219.31430023%5%125+2.3
Austin Dean
2013 · A
19 40→50 39→55 45 45 .195/.265/.280 .085.270 55 28% 8% 50 -1.7 .220/.275/.314 .094.285 76 24% 6% 63 -0.9 .257/.302/.413.156.30417421%5%96+1.1
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