Maikis De La Cruz

PosCF
B/TR/R
Born1990-09-06
Age (2027)36
No MLB projection yet. Career stats below are historical.
Overview
AALAST SEASON 2016
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201423A+NYM483.267/.307/.35351255—.234/.263/.314
201524A+NYM360.247/.311/.32131026—.181/.232/.235
201625AABinghamton Me…358.227/.284/.3124634—.198/.239/.263
Contract
No contract data on file.

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.

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)
201120 ROKDSL Mets 1 — 301265 851910 27394 3312 321392400792 79373 139 354 40 — — — — — —
201221 ROKKingsport Mets — 247223 611251 14483 95 274325386711 112333 196 310 42 — — — — — —
201322 ASavannah Sand Gnats — 398349 912053 39816 173 261345372718 112327 2010 323 64 — — — — — —
201423 A+St. Lucie Mets — 483450 1202405 25821 123 267307353660 87314 175 293 55 — — — — — —
201524 A+St. Lucie Mets — 360324 801313 29851 105 247311321632 74321 248 285 26 — — — — — —
201625 AABinghamton Mets — 358330 751604 26750 66 227284312596 85282 217 270 34 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201120 ROK MLEDSL Mets 1 — 301274 561110 18484 3312 204264252515 47237 166 227 40 — — — — — —
201221 ROK MLEKingsport Mets — 247228 49941 9683 95 215254303557 88270 284 231 42 — — — — — —
201322 A MLESavannah Sand Gnats — 398361 791653 271106 173 219284316600 97294 287 263 64 — — — — — —
201423 A+ MLESt. Lucie Mets — 483458 1072504 171181 123 234263314577 81298 244 250 55 — — — — — —
201524 A+ MLESt. Lucie Mets — 360332 601012 211221 105 181232235467 54264 346 207 26 — — — — — —
201625 AA MLEBinghamton Mets — 358338 671303 18860 66 198239263502 65250 245 219 34 — — — — — —
201120 ROK MLEDSL Mets 1 — 301274 561110 18484 3312 204264252515 47246 166 227 40 — — — — — —
201120 ROK RAWDSL Mets 1 — 301265 851910 27394 3312 321392400792 79373 139 354 40 — — — — — —
201221 ROK MLEKingsport Mets — 247228 49941 9683 95 215254303557 88291 284 231 42 — — — — — —
201221 ROK RAWKingsport Mets — 247223 611251 14483 95 274325386711 112333 196 310 42 — — — — — —
201322 A MLESavannah Sand Gnats — 398361 791653 271106 173 219284316600 97302 287 263 64 — — — — — —
201322 A RAWSavannah Sand Gnats — 398349 912053 39816 173 261345372718 112327 2010 323 64 — — — — — —
201423 A+ MLESt. Lucie Mets — 483458 1072504 171181 123 234263314577 81304 244 250 55 — — — — — —
201423 A+ RAWSt. Lucie Mets — 483450 1202405 25821 123 267307353660 87314 175 293 55 — — — — — —
201524 A+ MLESt. Lucie Mets — 360332 601012 211221 105 181232235467 54274 346 207 26 — — — — — —
201524 A+ RAWSt. Lucie Mets — 360324 801313 29851 105 247311321632 74321 248 285 26 — — — — — —
201625 AA MLEBinghamton Mets — 358338 671303 18860 66 198239263502 65256 245 219 34 — — — — — —
201625 AA RAWBinghamton Mets — 358330 751604 26750 66 227284312596 85282 217 270 34 — — — — — —
201120 ROK MLEDSL Mets 1 — 301276 561110 18484 3312 203264250514 47237 166 227 40 — — — — — —
201221 ROK MLEKingsport Mets — 247233 49941 9683 95 210254296550 86270 284 231 42 — — — — — —
201322 A MLESavannah Sand Gnats — 398362 791653 271106 173 218284315599 97294 287 263 64 — — — — — —
201423 A+ MLESt. Lucie Mets — 483462 1072504 171181 123 232263312574 80298 244 250 55 — — — — — —
201524 A+ MLESt. Lucie Mets — 360335 601012 211221 105 179232233464 54264 346 207 26 — — — — — —
201625 AA MLEBinghamton Mets — 358337 671303 18860 66 199239264503 65250 245 219 34 — — — — — —
▸ Career Totals
Career— MLE — 21471991 418841113 11055215 8734 210257283539 73280 265 235 45 -141 +4 +0 +8 +47 -8.4
/ 162G— MLE — 650603 1262534 331675 2610 209256280536 71279 265 235 45 -43 +1 +0 +2 +14 -2.5

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.

2016 AABinghamton Mets · 358 PAwOBA .263 → .219 (−44)K% 20.9% → 24.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.95%÷1.062×1.220——24.06%
BB% (unintentional) /PA6.98%÷0.996×0.700—×0.9884.85%
HBP% /PA0.00%—×0.850—×0.9880.00%
Singles /BIP21.57%÷1.034×0.970×0.995×0.98819.88%
Doubles /BIP6.27%÷1.070×0.860×0.995×0.9884.95%
Triples /BIP0.00%÷0.956×0.950×0.995×0.9880.00%
Home runs /BIP1.57%÷1.085×0.780—×0.9881.11%

Factors used: league row EL. Park (home-season share, regressed): HR 117, 1B 107, 2B 114, 3B 91, K 112, BB 99 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.995.

Result: wOBA .263 → .219; ISO .085 → .064; BABIP .282 → .250. 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).

2015 A+St. Lucie Mets · 360 PAwOBA .281 → .207 (−73)K% 23.6% → 33.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.61%÷0.992×1.420——33.80%
BB% (unintentional) /PA8.06%÷1.023×0.750—×0.9785.78%
HBP% /PA0.28%—×0.930—×0.9780.25%
Singles /BIP26.36%÷1.049×0.920×0.960×0.97821.70%
Doubles /BIP5.44%÷1.055×0.960×0.960×0.9784.65%
Triples /BIP0.42%÷0.900×0.810×0.960×0.9780.35%
Home runs /BIP1.26%÷1.269×0.880—×0.9780.85%

Factors used: league row FSL. Park (home-season share, regressed): HR 154, 1B 110, 2B 111, 3B 80, K 98, BB 105 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.960.

Result: wOBA .281 → .207; ISO .074 → .053; BABIP .321 → .264. 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).

2014 A+St. Lucie Mets · 483 PAwOBA .287 → .250 (−38)K% 17.0% → 24.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.98%÷0.984×1.420——24.50%
BB% (unintentional) /PA5.18%÷1.106×0.750—×0.9883.47%
HBP% /PA0.21%—×0.930—×0.9880.19%
Singles /BIP24.73%÷1.018×0.920×1.022×0.98822.57%
Doubles /BIP6.52%÷0.883×0.960×1.022×0.9887.16%
Triples /BIP0.00%÷1.150×0.810×1.022×0.9880.00%
Home runs /BIP1.36%÷1.054×0.880—×0.9881.12%

Factors used: league row FSL. Park (home-season share, regressed): HR 111, 1B 104, 2B 77, 3B 130, K 97, BB 121 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .287 → .250; ISO .087 → .081; BABIP .314 → .298. 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).

2013 ASavannah Sand Gnats · 398 PAwOBA .318 → .263 (−56)K% 20.4% → 27.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.35%÷0.986×1.340——27.66%
BB% (unintentional) /PA9.80%÷0.960×0.660—×0.9906.67%
HBP% /PA1.51%—×0.770—×0.9901.15%
Singles /BIP23.51%÷1.011×0.920×1.008×0.99021.36%
Doubles /BIP7.46%÷0.980×0.820×1.008×0.9906.23%
Triples /BIP1.87%÷0.902×0.940×1.008×0.9901.94%
Home runs /BIP1.12%÷0.793×0.820—×0.9901.15%

Factors used: league row SAL. Park (home-season share, regressed): HR 59, 1B 102, 2B 96, 3B 80, K 97, BB 92 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.

Result: wOBA .318 → .263; ISO .112 → .100; BABIP .327 → .294. 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).

2012 ROKKingsport Mets · 247 PAwOBA .309 → .231 (−78)K% 19.4% → 27.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.43%÷1.000×1.420——27.60%
BB% (unintentional) /PA5.67%÷1.000×0.640—×0.9753.54%
HBP% /PA1.21%—×0.740—×0.9750.88%
Singles /BIP24.57%÷1.000×0.840×1.025×0.97520.62%
Doubles /BIP6.86%÷1.000×0.740×1.025×0.9755.07%
Triples /BIP2.86%÷1.000×0.740×1.025×0.9752.11%
Home runs /BIP0.57%÷1.000×0.800—×0.9750.45%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.025.

Result: wOBA .309 → .231; ISO .112 → .080; BABIP .333 → .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).

2011 DSLDSL Mets 1 · 301 PAwOBA .348 → .227 (−120)K% 13.0% → 15.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.96%÷1.000×1.220——15.81%
BB% (unintentional) /PA8.97%÷1.000×0.700—×0.9756.12%
HBP% /PA1.33%—×0.700—×0.9750.91%
Singles /BIP28.76%÷1.000×0.680×0.984×0.97518.77%
Doubles /BIP8.41%÷1.000×0.600×0.984×0.9754.84%
Triples /BIP0.44%÷1.000×0.600×0.984×0.9750.25%
Home runs /BIP0.00%÷1.000×0.470—×0.9750.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 18.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.984.

Result: wOBA .348 → .227; ISO .079 → .047; BABIP .373 → .237. 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).