Daneurys De La CruzC Lakeland Flying Tigers
Age 25 R/R 5'10" / 160 lbs A HR +5%H +3% Svc 0.0 · Ctrl thru 2036 peak 0.5 · 2029
wRC+†62
AVG/OBP/SLG.202 / .271 / .311
PA86
HR2
K%31
BB%8
MLB%0%
BAT: -3.7 runs (wOBA-derived runs vs avg)-4BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.5 runs (Positional adjustment)+2POSREP: +2.4 runs (Replacement-level credit)+2REPTotal WAR: +0.00+0.0WAR
trajectory · 10 yrs
0.5peak
2029

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+0.3$1M+$0.5M
2032Ext / FA-deal$0.9M+0.1$0.5M-$0.5M
2033Ext / FA-deal$1.0M
2034Ext / FA-deal$0.2M
2035Ext / FA-deal$0.4M
2036Extbeyond projection horizon · no WAR estimate
Totals $3M $-4M -$8M
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
201817 ROKDSL Tigers 2 118104 12311 12462 15 .115.220.192.413 .077.193 3910 .179 -5 -14 -2 +0 +2 +3 -1.1
201918 ROKDSL Tigers 2 133118 23502 9533 33 .195.269.288.557 .093.318 407 .245 46 -8 -1 +0 +2 +4 -0.3
202120 ROKFCL Tigers East 162140 25516 18563 32 .179.286.357.643 .179.241 3511 .290 80 -4 -0 +0 +3 +5 0.4
202221 A2 teams 259228 28711 241436 20 .123.225.175.400 .053.318 559 .191 5 -28 +0 +0 +5 +7 -1.6
202322 ROKFCL Tigers 7772 9302 4431 21 .125.182.250.432 .125.259 565 .197 9 -8 +0 +0 +1 +2 -0.4
202423 A2 teams 177156 28511 18643 44 .179.277.244.520 .064.297 3610 .249 49 -10 -1 +0 +3 +5 -0.3
▸ 2026 Season
202625 MLBDET 8678 17312 7271 10 .218.291.359.650 .141.286 318 .266 62 -4 +0 +0 +2 +2 0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202726 MLB 10%DET 131119 26513 10401 21 .218.285.353.638 .134.289 318 .277 70 -4 +0 +0 +2 +4 0.2
202827 MLB 25%DET 223201 43815 18672 41 .214.285.338.623 .124.289 308 .281 73 -7 +0 +0 +4 +6 0.4
202928 MLB 36%DET 286258 551026 23853 41 .213.285.337.622 .124.289 308 .282 74 -8 +0 -1 +5 +8 0.5
203029 MLB 50%DET 320288 611127 26953 41 .212.284.337.621 .125.288 308 .281 73 -10 +0 -1 +6 +9 0.4
203130 MLB 68%DET 342308 651227 281033 31 .211.283.331.614 .120.287 308 .278 71 -11 +0 -2 +6 +10 0.3
203231 MLB 85%DET 333300 621127 271023 20 .207.279.327.605 .120.285 318 .274 68 -12 +0 -3 +6 +9 0.1
203332 MLBDET 315283 581026 26983 00 .205.279.318.597 .113.284 318 .269 64 -13 +0 -4 +6 +9 -0.2
203433 MLBDET 283255 50915 23903 00 .196.270.298.569 .102.282 328 .264 60 -13 +0 -4 +5 +8 -0.4
203534 MLBDET 238215 41714 19782 00 .191.263.288.551 .098.280 338 .258 56 -12 +0 -5 +4 +7 -0.6
▸ Career Totals (MLE all levels + projections)
Career 34833123 6031141965 292119042 3520 .193.271.304.575 .111.285 348 .261 58 -165 -1 -20 +62 +99 -2.6
/ 162G 650583 11321412 542228 74 .194.271.305.576 .111.287 348 .261 58 -31 -0 -4 +12 +18 -0.5

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
201817 ROKDSL Tigers 2 11897 16411 19322 15 .165.314.258.571 .093.234 2716 .276 70 -4 -2 +3 -0.3
201918 ROKDSL Tigers 2 133113 32703 14373 33 .283.377.425.802 .142.382 2811 .354 129 +4 -1 +4 0.8
202120 ROKFCL Tigers East 162127 36827 31383 32 .283.435.543.978 .260.349 2319 .427 185 +15 -0 +5 2.0
202221 ALakeland Flying Tigers 238201 41912 32925 20 .204.328.289.616 .085.364 3913 .292 82 -5 +0 +7 0.2
202221 ROKFCL Tigers 2119 4200 071 00 .211.250.316.566 .105.308 330 .243 45 -1 +0 +1 -0.1
202322 ROKFCL Tigers 7768 16513 7281 21 .235.312.471.782 .235.351 369 .341 119 +2 +0 +2 0.4
202423 ALakeland Flying Tigers 158132 28612 24432 33 .212.342.318.660 .106.299 2715 .309 95 -1 -1 +4 0.3
202423 ROKFCL Tigers 1915 8200 331 11 .533.632.6671.298 .133.667 1616 .570 294 +4 -0 +1 0.5

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
Daneurys De La Cruz (OGILVIE) 25 .202/.271/.311 .108.286 21 31% 8% 62 -0.1
Drake Osborn
2023 · A
25 40 43→50 49→40 42 .201/.266/.309 .108.276 116 30% 7% 59 -1.1 .189/.244/.301 .112.256 134 31% 6% 47 -1.9 .179/.231/.285.106.23913231%5%35-1.3
Andres Sosa
2023 · A
25 39 42→40 52→45 46 .191/.291/.300 .109.275 99 31% 9% 69 -0.4 .196/.285/.288 .092.287 77 32% 8% 63 -0.9 .183/.273/.260.077.2766433%7%47-0.7
Maverick Handley
2023 · AA
25 40 45 51→50 44 .199/.282/.323 .124.278 1313 32% 8% 70 -0.3 .204/.293/.301 .097.284 911 29% 9% 69 -0.4 .196/.289/.271.075.27561028%9%57-0.6
Sicnarf Loopstok
2018 · A
25 41→37 47→50 46→50 37 .207/.268/.345 .139.293 1511 34% 6% 69 -0.4 .221/.296/.379 .158.309 198 33% 8% 90 +1.0 .215/.315/.403.187.28426232%11%106+0.8
Jeferson Morales
2023 · A
24 39→46 46→45 49→50 44 .197/.277/.329 .131.260 149 29% 7% 69 -0.4 .215/.289/.346 .131.275 139 25% 7% 78 +0.2 .223/.298/.355.132.27712823%7%81+0.2
Brent Diaz
2021 · A
25 43 42→45 47→45 47 .207/.290/.314 .107.289 109 30% 9% 70 -0.3 .205/.275/.326 .121.305 148 35% 6% 68 -0.5 .179/.249/.295.116.26816738%5%45-0.7
Vito Friscia
2022 · A
25 45 42→45 51→40 44 .212/.289/.319 .107.324 105 35% 9% 71 -0.3 .213/.297/.339 .126.316 134 34% 10% 80 +0.4 .194/.287/.324.130.27914033%11%69-0.2
Sean Jamieson
2014 · A
25 44→46 44→45 51→50 45 .214/.283/.334 .120.278 1012 26% 7% 72 -0.2 .229/.289/.338 .109.309 99 27% 6% 75 -0.0 .230/.289/.325.094.3197728%6%68-0.2
Logan Driscoll
2023 · A
25 42→45 45 49→40 41 .211/.275/.335 .124.295 136 32% 7% 69 -0.4 .225/.281/.350 .125.306 135 29% 6% 76 +0.0 .232/.286/.359.127.31113329%5%76+0.1
Christian Sepulveda
2023 · A
25 41 44→50 50→55 36 .205/.260/.331 .127.294 1110 33% 5% 62 -0.9 .206/.269/.330 .124.284 1214 31% 5% 66 -0.6 .186/.256/.313.126.245152129%4%53-0.5
JJ Schwarz
2021 · A
25 39 41→45 48→30 44 .192/.259/.283 .091.263 86 29% 8% 49 -1.8 .208/.276/.329 .121.293 143 32% 8% 68 -0.5 .201/.273/.323.122.28015132%9%62-0.5
Seth Bynum
2006 · A
25 44 43→55 50 44 .215/.273/.334 .119.280 109 26% 7% 67 -0.5 .212/.267/.314 .102.292 99 29% 6% 59 -1.1 .219/.261/.365.147.28918531%5%68-0.4
Mike Ahmed
2017 · A
25 44→46 44→50 47→50 45 .217/.285/.334 .117.296 1111 30% 8% 72 -0.2 .209/.271/.328 .119.315 139 35% 7% 66 -0.6 .192/.250/.296.105.30711739%6%46-0.7
Bennett Hostetler
2023 · A
25 43→39 44→45 50→45 38 .215/.274/.328 .112.291 126 30% 5% 67 -0.5 .202/.267/.321 .119.293 139 34% 6% 63 -0.9 .181/.251/.292.111.278121337%6%45-0.8
Tomas Duenas
2006 · A
25 39 44→50 52→40 37 .199/.253/.310 .111.281 128 33% 5% 53 -1.5 .218/.267/.360 .142.278 185 28% 5% 72 -0.2 .215/.261/.361.146.26420227%5%67-0.2
William Simoneit
2022 · A
25 47 45 50→45 43 .228/.295/.350 .122.319 139 31% 8% 81 +0.4 .210/.287/.330 .120.313 126 34% 8% 73 -0.1 .182/.264/.300.118.28512438%7%54-0.6
Zach Wright
2015 · A
25 43→45 44→45 44→40 42 .212/.278/.325 .113.296 135 31% 7% 68 -0.5 .201/.275/.315 .114.289 118 32% 7% 64 -0.8 .152/.251/.261.109.2149931%8%39-0.8
Jakson Reetz
2021 · A
25 41→34 45→60 43→45 43 .206/.285/.327 .121.286 135 31% 8% 72 -0.2 .197/.275/.360 .163.272 204 34% 6% 77 +0.1 .197/.277/.397.201.24526431%7%84+0.3
Jake Rogers
2018 · A
23 41→40 44→55 47→45 42 .205/.269/.327 .122.280 1110 30% 7% 65 -0.7 .196/.267/.342 .146.271 177 33% 8% 69 -0.4 .206/.283/.412.206.26529133%8%91+0.6
Matt Liuzza
2009 · A
25 44 45→50 45→30 43 .217/.280/.343 .126.308 133 33% 8% 73 -0.1 .215/.291/.349 .134.311 144 33% 9% 80 +0.4 .198/.292/.345.147.27917233%11%75-0.0