Jose De La CruzOF Lakeland Flying Tigers
Age 24 R/R 6'1" / 216 lbs A HR +5%H +3% Svc 0.0 · Ctrl thru 2036
wRC+†28
AVG/OBP/SLG.155 / .227 / .251
PA112
HR2
K%47
BB%7
MLB%0%
BAT: -9.1 runs (wOBA-derived runs vs avg)-9BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.7 runs (Positional adjustment)-1POSREP: +3.2 runs (Replacement-level credit)+3REPTotal WAR: -0.60-0.6WAR
Scouting · nowfuture
HIT
2020
PWR
4040
SPD
4646
EYE
4242
trajectory · 10 yrs
-0.7peak
2026

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
2035Ext / FA-deal$0.4M
2036Ext / FA-deal$0.6M
Totals $-4M $-59M -$55M
Underwater contract
Projected production over the remaining contract is worth -$55M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

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
201917 ROKDSL Tigers 2 253232 45837 111088 168 .194.255.345.600 .151.319 434 .255 53 -13 +0 +0 -2 +7 -0.8
202119 ROK2 teams 341312 39714 1618711 138 .125.195.192.387 .067.285 555 .175 -8 -42 -1 +0 -2 +10 -3.5
202220 A2 teams 368336 43816 222079 43 .128.202.211.413 .083.298 566 .185 0 -42 -0 +0 -2 +10 -3.4
202321 ALakeland Flying Tigers 381340 591007 311745 23 .174.253.265.517 .091.317 468 .238 40 -26 -1 +0 -2 +11 -1.8
202422 ALakeland Flying Tigers 471430 689110 2722712 93 .158.228.253.482 .095.297 486 .220 27 -39 +1 +0 -3 +13 -2.9
202523 A2 teams 153140 16501 10812 21 .114.184.171.356 .057.254 537 .161 -18 -20 +0 +0 -1 +4 -1.7
▸ 2026 Season
202624 MLBDET 112101 16302 8532 10 .158.234.248.482 .089.289 477 .222 28 -9 +0 +0 -1 +3 -0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202725 MLB 10%DET 190171 28504 14853 21 .164.239.263.503 .099.291 457 .236 39 -13 +0 +0 -1 +5 -0.9
202826 MLB 25%DET 279251 44816 211205 31 .175.253.287.540 .112.292 438 .244 45 -17 +0 +0 -2 +8 -1.1
202927 MLB 42%DET 329296 531018 251385 31 .179.255.301.555 .122.292 428 .248 48 -19 +0 +0 -2 +9 -1.2
203028 MLB 52%DET 360323 571018 281506 31 .176.255.288.543 .111.291 428 .249 49 -21 +0 -1 -2 +10 -1.4
203129 MLB 63%DET 372334 591118 291566 21 .177.255.287.542 .111.290 428 .247 47 -22 +0 -1 -2 +11 -1.6
203230 MLB 72%DET 379340 591118 301606 20 .174.253.282.535 .109.288 428 .244 45 -24 +0 -2 -2 +11 -1.7
203331 MLB 90%DET 372334 571018 291596 00 .171.249.278.528 .108.286 438 .240 42 -24 +0 -3 -2 +11 -1.9
203432 MLBDET 358322 541017 281555 00 .168.245.270.515 .102.285 438 .235 38 -25 +0 -4 -2 +10 -2.1
203533 MLBDET 331297 49916 261455 00 .165.244.263.507 .098.283 448 .230 34 -25 +0 -4 -2 +9 -2.2
203634 MLBDET 289261 40705 221294 00 .153.230.238.468 .084.281 458 .224 30 -23 +0 -5 -2 +8 -2.2
▸ Career Totals (MLE all levels + projections)
Career 53384820 78614114105 3772434100 6231 .163.238.263.502 .100.295 467 .228 33 -404 +0 -20 -32 +151 -31.1
/ 162G 650587 9617213 4629612 84 .164.239.266.505 .102.294 467 .228 33 -49 +0 -2 -4 +18 -3.8

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
201917 ROKDSL Tigers 2 253225 6913511 18758 168 .307.378.556.934 .249.411 307 .404 168 +19 +0 +7 2.7
202119 ALakeland Flying Tigers 158142 18311 10745 61 .127.210.183.393 .056.250 476 .190 3 -17 +1 +4 -1.2
202119 ROKFCL Tigers East 183159 43914 17586 77 .270.363.415.778 .145.398 329 .350 126 +5 -1 +5 0.9
202220 ALakeland Flying Tigers 345307 6210110 291328 33 .202.288.339.627 .137.313 388 .285 77 -9 -1 +10 0.0
202220 ROKFCL Tigers 2321 5201 1111 10 .238.304.476.781 .238.444 484 .343 121 +1 +0 +1 0.1
202321 ALakeland Flying Tigers 381325 7914012 461205 23 .243.346.397.743 .154.338 3112 .332 113 +5 -1 +11 1.6
202422 ALakeland Flying Tigers 471419 9916216 3816412 93 .236.318.399.716 .162.344 358 .321 104 +2 +1 +13 1.6
202523 ALakeland Flying Tigers 10289 14301 11371 11 .157.257.225.482 .067.250 3611 .229 34 -8 -0 +3 -0.5
202523 ROKFCL Tigers 5148 10500 2201 10 .208.255.312.567 .104.357 394 .256 54 -3 +0 +1 -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
Jose De La Cruz (OGILVIE) 24 20 40 46 42 .155/.227/.251 .096.289 21 47% 7% 28 -0.6
Doran Turchin
2021 · A
24 38 42→45 48→50 39 .186/.253/.292 .106.284 97 36% 7% 49 -1.8 .195/.268/.319 .124.328 1310 41% 7% 63 -0.9 .159/.245/.287.128.276141144%8%43-1.0
Ignacio Valdez
2018 · A
23 32 47→45 43→50 36 .168/.238/.295 .127.287 153 45% 7% 43 -2.2 .187/.241/.285 .098.331 95 43% 6% 41 -2.3 .137/.165/.201.064.2474045%3%-17-1.2
Dylan Rosa
2019 · A
23 38→31 44→45 44→45 38 .188/.250/.303 .115.301 126 40% 7% 50 -1.8 .194/.246/.312 .118.295 138 37% 5% 50 -1.7 .171/.225/.295.124.27516842%5%35-1.2
Kieron Pope
2011 · A
24 41→34 44→45 46→45 30 .199/.247/.312 .113.318 125 40% 4% 51 -1.7 .200/.247/.302 .102.312 95 37% 4% 48 -1.9 .161/.202/.239.078.2557039%4%8-1.4
Pat McInerney
2019 · A
24 34 45 48→45 43 .171/.262/.293 .121.281 137 41% 10% 54 -1.4 .181/.257/.298 .117.302 126 41% 8% 53 -1.5 .156/.229/.270.115.25614342%7%31-1.6
Jordan Betts
2016 · A
24 36→29 38→45 48→40 33 .174/.222/.250 .075.292 67 41% 5% 24 -3.6 .185/.232/.289 .104.285 104 37% 6% 38 -2.6 .184/.231/.298.114.27113236%5%39-1.5
John Sansone
2018 · A
24 36→29 43→40 45→40 38 .184/.250/.291 .107.277 115 36% 6% 47 -1.9 .184/.240/.278 .094.288 86 37% 5% 39 -2.5 .162/.206/.237.075.2605538%3%10-2.4
Caleb Hamilton
2019 · A
24 35 41→45 45 46 .176/.255/.278 .102.255 85 32% 9% 46 -2.0 .184/.253/.289 .105.270 108 33% 8% 47 -1.9 .145/.237/.274.129.20919339%10%37-0.8
Jhalan Jackson
2017 · A
24 38→32 46→50 42→45 37 .195/.245/.327 .132.276 136 34% 6% 54 -1.4 .190/.254/.329 .139.304 166 40% 7% 59 -1.1 .171/.246/.312.140.28718644%8%49-1.1
Grant Fink
2015 · A
24 38→32 42→40 44→45 38 .178/.250/.278 .101.323 93 45% 8% 44 -2.1 .184/.255/.273 .089.330 85 42% 8% 44 -2.1 .151/.229/.208.057.2714542%9%15-1.5
Seth Gray
2022 · A
24 37→38 42→45 49→50 39 .182/.260/.280 .098.288 106 38% 7% 50 -1.8 .195/.271/.303 .108.322 1211 40% 8% 60 -1.0 .192/.271/.298.106.325131442%8%55-0.9
Scott Schreiber
2021 · A
25 39 43→45 47→45 34 .189/.239/.298 .109.310 119 41% 6% 43 -2.2 .222/.275/.364 .142.307 1710 32% 5% 76 +0.1 .228/.277/.373.146.307191031%5%76+0.0
Gerrion Grim
2017 · A
23 34 41→55 45→40 31 .170/.217/.262 .092.293 97 44% 5% 24 -3.5 .195/.232/.344 .149.278 215 37% 4% 53 -1.5 .185/.216/.361.176.22928234%3%47-1.3
Connor Blair
2022 · A
24 37 40→45 48→45 44 .183/.255/.269 .086.272 711 34% 8% 43 -2.2 .192/.279/.306 .114.309 128 38% 9% 64 -0.8 .150/.260/.268.118.24016541%11%45-0.7
Brandon Parker
2022 · A
23 38 45 49→50 36 .183/.256/.302 .120.315 126 43% 7% 53 -1.5 .194/.271/.320 .126.306 139 38% 8% 64 -0.8 .179/.256/.306.127.284151140%7%52-0.7
Gabriel Garcia
2021 · A
23 35 43→45 43→45 44 .176/.264/.284 .108.267 116 36% 9% 53 -1.5 .191/.254/.308 .117.336 127 44% 7% 53 -1.5 .150/.209/.256.107.28012349%6%20-1.5
Jeremy Eierman
2021 · A
24 34→26 42→55 50→45 32 .174/.221/.277 .103.286 109 42% 5% 30 -3.1 .182/.238/.330 .148.297 1910 44% 5% 53 -1.5 .158/.218/.314.156.244221044%5%37-1.0
Neil Medchill
2011 · A
24 35→27 44→50 44→45 33 .177/.233/.284 .107.299 127 43% 6% 38 -2.6 .194/.253/.324 .130.320 167 42% 7% 56 -1.3 .195/.254/.327.132.31617542%7%55-0.6
Brock Carpenter
2018 · A
23 38 41→40 47→30 42 .186/.260/.282 .097.283 106 36% 8% 50 -1.8 .200/.264/.303 .103.319 86 37% 7% 56 -1.3 .192/.255/.314.122.3108338%7%50-0.6
Taylor Snyder
2019 · A
24 37→32 44→55 46→50 33 .191/.234/.312 .121.281 1211 36% 4% 45 -2.1 .193/.241/.330 .137.293 1612 38% 5% 53 -1.5 .165/.222/.322.157.239221440%7%41-1.2