Michael De La CruzC Dominican Republic
Age 33 S/R 5'10" / 190 lbs INTL HR +13%BB +8% Svc 0.0 · Ctrl thru 2036 peak 0.5 · 2026
wRC+†74
AVG/OBP/SLG.225 / .291 / .330
PA250
HR4
K%20
BB%8
MLB%0%
BAT: -7.2 runs (wOBA-derived runs vs avg)-7BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +4.5 runs (Positional adjustment)+4POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: +0.50+0.5WAR
Scouting · nowfuture
HIT
5959
PWR
3030
SPD
4949
EYE
5151
trajectory · 10 yrs
0.3peak
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
2029Extbeyond projection horizon · no WAR estimate
2030Extbeyond projection horizon · no WAR estimate
2031Extbeyond projection horizon · no WAR estimate
2032Extbeyond projection horizon · no WAR estimate
2033Extbeyond projection horizon · no WAR estimate
2034Extbeyond projection horizon · no WAR estimate
2035Extbeyond projection horizon · no WAR estimate
2036Extbeyond projection horizon · no WAR estimate
Totals $0.0M $0.0M +$0.0M

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
201320 ROKGCL Blue Jays 233202 38641 26592 165 .188.287.272.559 .084.257 2511 .257 55 -12 +1 +0 +4 +7 0.0
201522 ALansing Lugnuts 239218 431100 16531 53 .197.255.248.503 .050.259 227 .224 30 -19 -0 +0 +4 +7 -0.8
201623 A+Dunedin Blue Jays 149137 25522 9331 53 .182.238.292.530 .109.221 226 .240 42 -10 -0 +0 +3 +4 -0.3
201724 A+3 teams 300275 621502 19791 32 .225.278.302.580 .076.303 266 .257 55 -15 -0 +0 +5 +8 -0.2
201825 AAA2 teams 7063 10610 6290 00 .159.232.286.518 .127.294 419 .213 21 -6 +0 +0 +1 +2 -0.3
201926 AAA2 teams 273241 551406 27581 10 .228.309.361.670 .133.275 2110 .297 85 -4 +0 +0 +5 +8 0.8
202027 INTLTigres del Licey 2418 3001 690 00 .167.375.333.708 .167.250 3825 +0 +0
202128 INTL3 teams 204184 37826 18800 00 .201.272.364.636 .163.310 399 .280 73 -6 +0 +0 +4 +6 0.3
202229 INTL3 teams 192169 31615 21362 11 .183.281.320.601 .136.203 1911 .287 78 -5 -0 +0 +3 +5 0.4
202330 AA2 teams 550497 11118110 431190 73 .223.285.324.609 .101.268 228 .270 65 -22 +0 +0 +10 +16 0.4
202431 AA2 teams 323290 51801 27571 62 .176.248.214.462 .038.214 188 .218 25 -27 +0 +0 +6 +9 -1.2
202532 INTLDominican Republic 8270 14510 9180 00 .200.291.300.591 .100.264 2211 +0 +1
▸ 2026 Season
202633 MLBSD 250227 521014 20511 41 .229.294.335.629 .106.272 208 .283 74 -7 +0 +0 +4 +7 0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202734 MLB 7%SD 231209 47914 19491 31 .225.293.335.628 .110.273 218 .281 73 -7 +0 -5 +4 +7 -0.1
202835 MLB 18%SD 196177 39713 16441 21 .220.289.322.611 .102.273 228 .277 70 -7 +0 -6 +4 +6 -0.3
▸ Career Totals (MLE all levels + projections)
Career 33162977 6181281545 28277412 5322 .208.279.306.585 .098.262 239 .254 53 -177 +2 -10 +59 +94 -3.3
/ 162G 650584 1212539 551522 104 .207.278.307.584 .099.262 238 .254 53 -35 +0 -2 +12 +18 -0.6

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
201320 ROKGCL Blue Jays 233186 49961 42412 165 .263.404.392.797 .129.329 1818 .360 134 +9 +1 +7 1.7
201522 ALansing Lugnuts 239211 511500 23411 53 .242.319.313.632 .071.298 1710 .287 78 -6 -0 +7 0.1
201623 A+Dunedin Blue Jays 149133 32642 13221 53 .241.313.391.704 .150.270 159 .310 96 -1 -0 +4 0.3
201724 AANew Hampshire Fisher Cats 2622 11301 430 00 .500.577.7731.350 .273.556 1215 .579 301 +6 +0 +1 0.7
201724 A+Dunedin Blue Jays 222199 491102 19470 22 .246.312.332.644 .085.307 219 .289 79 -5 -0 +6 0.1
201724 ALansing Lugnuts 5245 9200 571 10 .200.294.244.539 .044.231 1310 .252 51 -3 +0 +1 -0.1
201825 AAABuffalo Bisons 5043 8510 6170 00 .186.286.349.635 .163.308 3412 .281 73 -2 +0 +1 -0.0
201825 INTLTigres del Licey 2016 6000 450 00 .375.500.375.875 .000.545 2520 .411 173 +2 +0 +1 0.2
201926 AAABuffalo Bisons 192162 451205 26331 10 .278.381.444.825 .167.320 1714 .365 137 +8 +0 +5 1.4
201926 INTLTigres del Licey 8160 9300 20110 00 .150.362.200.562 .050.184 1425 .287 78 -2 +0 +2 0.0
202027 INTLTigres del Licey 2418 3001 690 00 .167.375.333.708 .167.250 3825 .337 116 +0 +0 +1 0.1
202128 AAAReno Aces 4843 11303 5140 00 .256.333.535.868 .279.308 2910 .377 147 +3 +0 +1 0.4
202128 AAAmarillo Sod Poodles 5950 15312 8170 00 .300.397.520.917 .220.406 2914 .396 161 +4 +0 +2 0.6
202128 INTLTigres del Licey 9784 21300 12230 00 .250.344.286.629 .036.339 2412 .294 83 -2 +0 +3 0.1
202229 AAErie SeaWolves 7660 12202 14102 01 .200.368.333.702 .133.208 1318 .332 112 +1 -0 +2 0.3
202229 ROKFCL Tigers 2421 7211 340 10 .333.417.6671.083 .333.375 1712 .461 211 +3 +0 +1 0.4
202229 INTLDominican Republic 9286 20400 6170 00 .233.283.279.562 .047.290 187 .259 56 -5 +0 +3 -0.2
202330 AASan Antonio Missions 408355 911717 43670 72 .256.335.369.704 .113.291 1611 .313 98 -1 +1 +12 1.1
202330 INTLDominican Republic 142118 31411 22170 01 .263.379.339.718 .076.297 1215 .330 110 +2 -0 +4 0.5
202431 AASan Antonio Missions 274235 49801 33371 62 .209.307.255.563 .047.241 1412 .264 60 -12 +0 +8 -0.4
202431 INTLTigres del Licey 4936 4101 12130 00 .111.333.222.556 .111.136 2724 .276 70 -2 +0 +1 -0.0
202532 INTLDominican Republic 8270 14510 9180 00 .200.291.300.591 .100.264 2211 .263 59 -4 +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
Michael De La Cruz (OGILVIE) 33 59 30 49 51 .225/.291/.330 .105.272 44 20% 8% 74 -0.0
Quinton McCracken
2004 · MLB
33 54→63 40 51→50 51 .254/.311/.360 .106.300 510 17% 8% 89 +1.0 .247/.306/.341 .094.288 611 15% 8% 82 +0.5 .250/.308/.327.078.28951014%8%73-0.0
Koyie Hill
2012 · MLB
33 45→43 40→45 50→40 46 .218/.280/.313 .095.290 75 26% 8% 65 -0.7 .198/.247/.284 .086.262 74 26% 6% 43 -2.2 .185/.233/.257.072.2455126%6%27-1.4
Luis Figueroa
2007 · AAA
33 52→58 42→40 42→45 47 .248/.283/.352 .104.262 99 10% 4% 75 -0.0 .254/.290/.338 .084.276 57 10% 4% 74 -0.1 .263/.294/.337.074.279427%4%73-0.1
Eloy Arano
2007 · AAA
33 53→61 36→30 49→50 48 .250/.296/.309 .058.279 415 12% 5% 69 -0.4 .275/.302/.345 .070.313 411 13% 3% 80 +0.4 .292/.319/.350.058.33231013%3%84+0.4
Andrew Romine
2019 · MLB
33 47→54 40 51→55 46 .228/.286/.323 .095.285 712 22% 7% 69 -0.4 .236/.285/.336 .100.291 916 21% 6% 72 -0.2 .242/.288/.326.084.30181621%5%67-0.3
Emmanuel Burriss
2017 · MLB
32 51→58 38→40 53→60 47 .243/.288/.325 .082.274 517 14% 5% 70 -0.3 .225/.260/.298 .073.258 513 14% 4% 51 -1.7 .231/.253/.247.016.2530109%2%29-0.8
Wilkin Castillo
2016 · AAA
32 49→58 44→45 51→50 46 .239/.281/.352 .114.267 1110 16% 5% 75 -0.0 .209/.245/.297 .088.239 77 15% 4% 45 -2.1 .194/.225/.285.091.2209516%4%30-1.0
Michael Martinez
2016 · MLB
33 50→55 39→45 51→50 44 .239/.279/.330 .090.289 512 19% 5% 67 -0.5 .234/.273/.327 .093.294 510 21% 5% 64 -0.8 .234/.269/.313.079.2983622%4%55-0.6
José Yépez
2014 · AAA
33 48 39→40 47→30 47 .228/.287/.313 .085.264 65 16% 6% 68 -0.5 .207/.257/.282 .075.249 67 19% 5% 46 -2.0 .163/.198/.194.031.2024421%4%-2-1.3
Ray Olmedo
2014 · MLB
33 50→57 35→40 49→50 45 .235/.278/.299 .064.282 311 17% 5% 59 -1.1 .218/.263/.285 .067.275 313 21% 6% 49 -1.8 .212/.253/.256.044.27501122%5%33-2.0
Daniel Nunez
2015 · AAA
33 51 39→30 48→50 47 .243/.315/.328 .086.303 614 21% 7% 84 +0.6 .238/.296/.305 .067.290 410 18% 6% 69 -0.4 .230/.291/.275.045.28321018%6%56-0.6
Aaron Miles
2010 · MLB
33 56→65 37→40 44→45 49 .262/.301/.336 .074.289 56 11% 5% 78 +0.2 .255/.297/.330 .075.286 46 12% 5% 75 -0.0 .273/.315/.335.062.3032310%5%80+0.2
Carlos Orrantia
2015 · AAA
33 51→55 42→45 49→55 42 .247/.285/.354 .107.299 916 21% 5% 76 +0.1 .235/.276/.319 .084.297 79 22% 4% 64 -0.8 .231/.270/.294.063.2965623%4%53-0.7
Israel Nunez
2019 · AAA
33 47 46→40 49→40 44 .238/.278/.363 .125.275 149 20% 5% 76 +0.1 .241/.278/.342 .101.284 108 19% 4% 71 -0.3 .265/.292/.326.061.3087016%1%69-0.1
Gerson Manzanillo
2019 · AAA
33 53 38→30 51→50 44 .249/.287/.331 .082.288 516 16% 4% 71 -0.3 .232/.261/.311 .079.281 710 20% 3% 55 -1.4 .234/.252/.274.039.2844619%2%37-1.2
Elian Herrera
2016 · MLB
31 51→55 41→40 51→60 44 .247/.292/.349 .102.308 913 22% 6% 79 +0.3 .232/.285/.337 .105.307 99 26% 7% 72 -0.2 .182/.248/.198.016.2780032%8%20-0.7
Ali Castillo
2022 · AAA
33 48→58 39→45 47→55 44 .232/.269/.316 .084.270 68 17% 4% 59 -1.1 .227/.267/.284 .057.271 312 17% 5% 50 -1.7 .242/.281/.275.034.28601315%5%51-1.1
Wilson Delgado
2005 · MLB
33 52 42→45 49→40 52 .250/.317/.355 .105.292 106 18% 9% 91 +1.1 .241/.292/.354 .113.287 96 19% 7% 80 +0.4 .237/.278/.345.109.2827418%5%69-0.3
Drew Maggi
2021 · AAA
32 47→57 43→45 49→60 45 .228/.300/.337 .109.295 1013 25% 7% 80 +0.4 .200/.276/.309 .109.286 1119 32% 7% 63 -0.8 .178/.255/.264.087.26082232%7%40-1.1
Munenori Kawasaki
2014 · MLB
33 48→54 37→30 53→50 56 .222/.308/.293 .071.261 414 16% 10% 72 -0.2 .236/.304/.300 .064.289 312 18% 8% 71 -0.3 .240/.303/.290.050.29911618%8%67-0.3