Michael De La Cruz

PosC
B/TS/R
Born1993-05-15
Age (2027)34
No MLB projection yet. Career stats below are historical.
Overview
INTLPROSPECT
MLB%0%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202431AA/INTL2 orgs323.196/.311/.2512633—.174/.244/.215
202532INTLDominican Rep…82.200/.291/.3000064—
202633INTLLeones del Es…19.133/.263/.1330025—
Contract
No contract data on file.
Skills · percentileMiLB Statcast 2024 AA
Whiff%97
K%94
Z-Con%92
BB%78
Chase%63
Speed32

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.
basis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral
Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

YearAge LvlTeam MLB% PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
201320 ROKGCL Blue Jays — 233186 49961 42412 165 263404392797 129329 1818 360 59 — — — — — —
201522 ALansing Lugnuts — 239211 511500 23411 53 242319313632 71298 1710 287 32 — — — — — —
201623 A+Dunedin Blue Jays — 149133 32642 13221 53 241313391704 150270 159 310 51 — — — — — —
201724 AANew Hampshire Fisher Cats — 2622 11301 430 00 5005777731.350 273556 1215 579 227 — — — — — —
201724 A+Dunedin Blue Jays — 222199 491102 19470 22 246312332644 85307 219 289 47 — — — — — —
201724 ALansing Lugnuts — 5245 9200 571 10 200294244539 44231 1310 252 19 — — — — — —
201825 AAABuffalo Bisons — 5043 8510 6170 00 186286349635 163308 3412 281 38 — — — — — —
201825 INTLTigres del Licey — 2016 6000 450 00 375500375875 545 2520 411 164 — — — — — —
201926 AAABuffalo Bisons — 192162 451205 26331 10 278381444825 167320 1714 365 91 — — — — — —
201926 INTLTigres del Licey — 8160 9300 20110 00 150362200562 50184 1425 287 80 — — — — — —
202027 INTLTigres del Licey — 2418 3001 690 00 167375333708 167250 3825 337 114 — — — — — —
202128 AAAReno Aces — 4843 11303 5140 00 256333535868 279308 2910 377 68 — — — — — —
202128 AAAmarillo Sod Poodles — 5950 15312 8170 00 300397520917 220406 2914 396 86 — — — — — —
202128 INTLTigres del Licey — 9784 21300 12230 00 250344286629 36339 2412 294 85 — — — — — —
202229 AAErie SeaWolves — 7660 12202 14102 01 200368333702 133208 1318 332 62 — — — — — —
202229 ROKFCL Tigers — 2421 7211 340 10 3334176671.083 333375 1712 461 93 — — — — — —
202229 INTLDominican Republic — 9286 20400 6170 00 233283279562 47290 187 259 61 — — — — — —
202330 AASan Antonio Missions — 408355 911717 43670 72 256335369704 113291 1611 313 61 — — — — — —
202330 INTLDominican Republic — 142118 31411 22170 01 263379339718 76297 1215 330 109 — — — — — —
202431 AASan Antonio Missions — 274235 49801 33371 62 209307255563 47241 1412 264 26 — — — — — —
202431 INTLTigres del Licey — 4936 4101 12130 00 111333222556 111136 2724 276 73 — — — — — —
202532 INTLDominican Republic — 8270 14510 9180 00 200291300591 100264 2211 263 64 — — — — — —
202633 INTLLeones del Escogido — 1915 2000 360 00 133263133396 222 3216 205 25 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201320 ROK MLEGCL Blue Jays — 233202 38641 26592 165 188287272559 84256 2511 256 59 — — — — — —
201522 A MLELansing Lugnuts — 239218 411000 16581 53 188247234481 46248 247 216 32 — — — — — —
201623 A+ MLEDunedin Blue Jays — 149137 26532 9331 53 190245314559 124228 226 243 51 — — — — — —
201724 AA MLENew Hampshire Fisher Cats — 2624 11301 240 00 4585007081.208 250505 158 503 227 — — — — — —
201724 A+ MLEDunedin Blue Jays — 222205 431101 13660 22 210257278535 68291 306 238 47 — — — — — —
201724 A MLELansing Lugnuts — 5247 7100 3101 10 149216170386 21194 196 196 19 — — — — — —
201825 AAA MLEBuffalo Bisons — 5044 7410 4210 00 159224295520 136277 428 225 38 — — — — — —
201926 AAA MLEBuffalo Bisons — 192169 391004 19411 10 231312361673 130278 2110 302 91 — — — — — —
202128 AAA MLEReno Aces — 4844 8202 4170 00 182250364614 182248 358 269 68 — — — — — —
202128 AA MLEAmarillo Sod Poodles — 5953 12211 5220 00 226293358652 132346 378 295 86 — — — — — —
202229 AA MLEErie SeaWolves — 7665 12202 9122 01 185303308610 123180 1612 260 62 — — — — — —
202229 ROK MLEFCL Tigers — 2422 5111 260 10 227292500792 273270 258 305 93 — — — — — —
202330 AA MLESan Antonio Missions — 408369 791217 31830 72 214275309584 95244 208 258 61 — — — — — —
202431 AA MLESan Antonio Missions — 274247 43701 22461 62 174244215459 40200 178 207 26 — — — — — —
201320 ROK MLEGCL Blue Jays — 233202 38641 26592 165 188287272559 84257 2511 256 59 — — — — — —
201320 ROK RAWGCL Blue Jays — 233186 49961 42412 165 263404392797 129329 1818 360 59 — — — — — —
201522 A MLELansing Lugnuts — 239218 411000 16581 53 188247234481 46255 247 216 32 — — — — — —
201522 A RAWLansing Lugnuts — 239211 511500 23411 53 242319313632 71298 1710 287 32 — — — — — —
201623 A+ MLEDunedin Blue Jays — 149137 26532 9331 53 190245314559 124231 226 243 51 — — — — — —
201623 A+ RAWDunedin Blue Jays — 149133 32642 13221 53 241313391704 150270 159 310 51 — — — — — —
201724 A+ MLE3 teams — 300276 621502 18801 32 225275301575 76303 276 254 58 — — — — — —
201724 A+ RAW3 teams — 300266 691603 28571 32 259332353686 94314 199 308 58 — — — — — —
201825 AAA MLE2 teams — 7063 10610 6290 00 159232286518 127294 419 225 38 — — — — — —
201825 AAA RAW2 teams — 7059 14510 10220 00 237348356704 119378 3114 318 38 — — — — — —
201926 AAA MLE2 teams — 273241 571506 27581 10 237316373689 137287 2110 302 91 — — — — — —
201926 AAA RAW2 teams — 273222 541505 46441 10 243375378754 135282 1617 342 91 — — — — — —
202027 INTL MLETigres del Licey — 2418 3001 690 00 167375333708 167250 3825 — — — — — — — —
202027 INTL RAWTigres del Licey — 2418 3001 690 00 167375333708 167250 3825 337 114 — — — — — —
202128 INTL MLE3 teams — 204185 40926 17740 00 216282384666 168318 368 283 78 — — — — — —
202128 INTL RAW3 teams — 204177 47915 25540 00 266356412769 147350 2612 343 78 — — — — — —
202229 INTL MLE3 teams — 192170 31615 20352 11 182276318594 135200 1810 271 69 — — — — — —
202229 INTL RAW3 teams — 192167 39813 23312 11 234333347681 114271 1612 313 69 — — — — — —
202330 AA MLE2 teams — 550499 1071719 411120 73 214274307581 92253 207 258 61 — — — — — —
202330 AA RAW2 teams — 550473 1222128 65840 73 258346362708 104292 1512 317 61 — — — — — —
202431 AA MLE2 teams — 323291 50801 26541 62 172242210452 38206 178 207 26 — — — — — —
202431 AA RAW2 teams — 323271 53902 45501 62 196311251562 55231 1514 266 26 — — — — — —
202532 INTL MLEDominican Republic — 8270 14510 9180 00 200291300591 100264 2211 — — — — — — — —
202532 INTL RAWDominican Republic — 8270 14510 9180 00 200291300591 100264 2211 263 64 — — — — — —
202633 INTL MLELeones del Escogido — 1915 2000 360 00 133263133396 222 3216 — — — — — — — —
202633 INTL RAWLeones del Escogido — 1915 2000 360 00 133263133396 222 3216 205 25 — — — — — —
201320 ROK MLEGCL Blue Jays — 233203 38641 26592 165 187287271558 84256 2511 256 59 — — — — — —
201522 A MLELansing Lugnuts — 239220 411000 16581 53 186247232479 45248 247 216 32 — — — — — —
201623 A+ MLEDunedin Blue Jays — 149138 26532 9331 53 188245312556 123228 226 243 51 — — — — — —
201724 A+ MLE3 teams — 300278 621502 18801 32 223275299573 76293 276 254 58 — — — — — —
201825 AAA MLE2 teams — 7064 10610 6290 00 156232281513 125277 419 225 38 — — — — — —
201926 AAA MLE2 teams — 273243 571506 27581 10 235316370686 136278 2110 302 91 — — — — — —
202128 INTL MLE3 teams — 204185 40926 17740 00 216282384666 168302 368 283 78 — — — — — —
202229 INTL MLE3 teams — 192168 31615 20352 11 185276321597 137202 1810 271 69 — — — — — —
202330 AA MLE2 teams — 550504 1071719 411120 73 212274304578 91244 207 258 61 — — — — — —
202431 AA MLE2 teams — 323293 50801 26541 62 171242208450 38200 178 207 26 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202431 AA MLE2 teams — 323293 50801 26541 62 171242208450 38200 178 207 26 — — — — — —
▸ Career Totals
Career— MLE — 26582385 4811021333 2246259 4419 202273297569 95256 248 241 49 -161 +1 +0 +47 +58 -5.6
/ 162G— MLE — 650583 1172538 551532 115 201272295567 94255 248 241 49 -39 +0 +0 +12 +14 -1.4

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2024 AASan Antonio Missions · 274 PAwOBA .260 → .207 (−53)K% 13.5% → 16.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.50%÷0.987×1.220——16.70%
BB% (unintentional) /PA12.04%÷0.987×0.700—×0.9408.03%
HBP% /PA0.36%—×0.870—×0.9400.30%
Singles /BIP20.20%÷1.015×0.920×0.980×0.94016.87%
Doubles /BIP4.04%÷0.957×0.840×0.980×0.9403.27%
Triples /BIP0.00%÷1.150×0.940×0.980×0.9400.00%
Home runs /BIP0.51%÷0.953×0.800—×0.9400.40%

Factors used: league row TL. Park (home-season share, regressed): HR 91, 1B 103, 2B 91, 3B 130, K 97, BB 97 — applied at half strength. Age: age 31 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (6.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.980.

Result: wOBA .260 → .207; ISO .047 → .039; BABIP .241 → .200. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 AASan Antonio Missions · 408 PAwOBA .311 → .258 (−53)K% 16.4% → 20.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.42%÷0.987×1.220——20.30%
BB% (unintentional) /PA10.54%÷0.927×0.700—×0.9487.55%
HBP% /PA0.00%—×0.870—×0.9480.00%
Singles /BIP22.92%÷0.986×0.920×0.990×0.94820.06%
Doubles /BIP5.90%÷1.116×0.840×0.990×0.9484.17%
Triples /BIP0.35%÷1.010×0.940×0.990×0.9480.30%
Home runs /BIP2.43%÷0.820×0.800—×0.9482.25%

Factors used: league row TL. Park (home-season share, regressed): HR 64, 1B 97, 2B 123, 3B 102, K 97, BB 85 — applied at half strength. Age: age 30 vs a level average of 24.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .311 → .258; ISO .113 → .096; BABIP .291 → .244. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 AAErie SeaWolves · 76 PAwOBA .319 → .260 (−59)K% 13.2% → 16.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.16%÷0.995×1.220——16.13%
BB% (unintentional) /PA17.11%÷0.992×0.700—×0.95811.56%
HBP% /PA2.63%—×0.850—×0.9582.14%
Singles /BIP16.00%÷1.042×0.970×1.002×0.95814.30%
Doubles /BIP4.00%÷1.042×0.860×1.002×0.9583.17%
Triples /BIP0.00%÷0.900×0.950×1.002×0.9580.00%
Home runs /BIP4.00%÷0.926×0.780—×0.9583.23%

Factors used: league row EL. Park (home-season share, regressed): HR 85, 1B 108, 2B 108, 3B 80, K 99, BB 98 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.002.

Result: wOBA .319 → .260; ISO .133 → .114; BABIP .208 → .180. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 ROKFCL Tigers · 24 PAwOBA .449 → .305 (−144)K% 16.7% → 24.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.67%÷0.973×1.440——24.66%
BB% (unintentional) /PA12.50%÷0.978×0.620—×0.9407.45%
HBP% /PA0.00%—×0.720—×0.9400.00%
Singles /BIP17.65%÷1.018×0.820—×0.94013.36%
Doubles /BIP11.76%÷0.941×0.720—×0.9408.46%
Triples /BIP5.88%÷0.990×0.720—×0.9404.02%
Home runs /BIP5.88%÷0.990×0.780—×0.9404.36%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 98, 1B 104, 2B 88, 3B 98, K 95, BB 96 — applied at half strength. Age: age 29 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (9.5 yr older than average).

Result: wOBA .449 → .305; ISO .333 → .230; BABIP .375 → .270. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2021 AAAmarillo Sod Poodles · 59 PAwOBA .392 → .295 (−98)K% 28.8% → 37.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.81%÷0.946×1.220——37.17%
BB% (unintentional) /PA13.56%÷0.992×0.690—×0.9689.13%
HBP% /PA0.00%—×0.850—×0.9680.00%
Singles /BIP27.27%÷1.025×0.940—×0.96824.20%
Doubles /BIP9.09%÷1.034×0.870—×0.9687.40%
Triples /BIP3.03%÷0.945×0.920—×0.9682.86%
Home runs /BIP6.06%÷1.271×0.780—×0.9683.60%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 154, 1B 105, 2B 107, 3B 89, K 89, BB 98 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average).

Result: wOBA .392 → .295; ISO .220 → .152; BABIP .406 → .346. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2021 AAAReno Aces · 48 PAwOBA .367 → .269 (−97)K% 29.2% → 35.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA29.17%÷0.991×1.200——35.31%
BB% (unintentional) /PA10.42%÷0.963×0.690—×0.9927.40%
HBP% /PA0.00%—×0.940—×0.9920.00%
Singles /BIP17.24%÷1.047×0.930—×0.99215.19%
Doubles /BIP10.34%÷1.096×0.830—×0.9927.77%
Triples /BIP0.00%÷1.113×0.920—×0.9920.00%
Home runs /BIP10.34%÷0.958×0.700—×0.9927.50%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 92, 1B 109, 2B 119, 3B 123, K 98, BB 93 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average).

Result: wOBA .367 → .269; ISO .279 → .194; BABIP .308 → .248. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2019 AAABuffalo Bisons · 192 PAwOBA .357 → .302 (−56)K% 17.2% → 21.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.19%÷0.968×1.200——21.30%
BB% (unintentional) /PA13.54%÷0.953×0.690—×1.0189.98%
HBP% /PA0.52%—×0.940—×1.0180.50%
Singles /BIP21.71%÷1.011×0.930×0.950×1.01819.30%
Doubles /BIP9.30%÷0.954×0.830×0.950×1.0187.83%
Triples /BIP0.00%÷0.909×0.970×0.950×1.0180.00%
Home runs /BIP3.88%÷1.000×0.840—×1.0183.32%

Factors used: league row IL. Park (home-season share, regressed): HR 100, 1B 102, 2B 91, 3B 82, K 94, BB 91 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .357 → .302; ISO .167 → .144; BABIP .320 → .278. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2018 AAABuffalo Bisons · 50 PAwOBA .274 → .225 (−48)K% 34.0% → 41.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA34.00%÷0.993×1.200——41.09%
BB% (unintentional) /PA12.00%÷0.954×0.690—×1.0338.97%
HBP% /PA0.00%—×0.940—×1.0330.00%
Singles /BIP7.69%÷0.970×0.930—×1.0337.62%
Doubles /BIP19.23%÷0.987×0.830—×1.03316.70%
Triples /BIP3.85%÷1.150×0.970—×1.0333.35%
Home runs /BIP0.00%÷1.080×0.840—×1.0330.00%

Factors used: league row IL. Park (home-season share, regressed): HR 116, 1B 94, 2B 97, 3B 130, K 99, BB 91 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average).

Result: wOBA .274 → .225; ISO .163 → .136; BABIP .308 → .277. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .