Romer Cuadrado

PosRF
B/TR/R
Born1997-09-12
Age (2027)29
No MLB projection yet. Career stats below are historical.
Overview
INTLPROSPECT
MLB%0%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WAR
202426INTLCaribes de An…200.286/.337/.508102136—
202527INTLCaribes de An…195.281/.366/.47472137—
202628INTLCaribes de An…31.345/.387/.51710156—
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)
201517 ROKDSL Dodgers — 249221 49922 23575 109 222309308617 86290 239 286 13 — — — — — —
201618 ROKAZL Dodgers — 192161 38814 30501 41 236359373732 137318 2616 336 42 — — — — — —
201719 ROKOgden Raptors — 301260 871259 30747 114 335418523941 188433 2510 410 83 — — — — — —
201820 AGreat Lakes Loons — 517472 991945 401592 75 210274299573 89303 318 261 25 — — — — — —
201921 AGreat Lakes Loons — 353310 801917 35876 21 258345394738 135335 2510 332 61 — — — — — —
201921 ROKAZL Dodgers Mota — 4237 10302 4111 20 270357514871 243333 2610 382 53 — — — — — —
202022 INTLLeones del Caracas — 125108 30401 16341 22 278376343719 65397 2713 334 112 — — — — — —
202123 AATulsa Drillers — 309278 633010 281171 01 227300345645 119346 389 292 38 — — — — — —
202123 INTLLeones del Caracas — 140121 33905 15462 11 273362471833 198394 3311 365 133 — — — — — —
202224 INTLNavegantes del Magallanes — 4844 13111 4110 22 295354432786 136375 238 350 123 — — — — — —
202325 INTLNavegantes del Magallanes — 206177 53926 26512 22 299395475870 175388 2513 386 147 — — — — — —
202426 INTLCaribes de Anzoategui — 200185 5311010 13561 21 286337508845 222358 286 368 136 — — — — — —
202527 INTLCaribes de Anzoategui — 195171 481017 19594 20 281366474840 193387 3010 371 137 — — — — — —
202628 INTLCaribes de Anzoategui — 3129 10201 250 01 345387517904 172391 166 399 156 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201517 ROK MLEDSL Dodgers — 249228 33611 16695 109 145217193410 48202 286 187 13 — — — — — —
201618 ROK MLEAZL Dodgers — 192172 30613 19721 41 174260273534 99265 3810 231 42 — — — — — —
201719 ROK MLEOgden Raptors — 301272 65836 181077 114 239303357660 118356 366 291 83 — — — — — —
201820 A MLEGreat Lakes Loons — 517485 831533 282112 75 171219233452 62291 415 205 25 — — — — — —
201921 A MLEGreat Lakes Loons — 353322 671615 231146 21 208274311584 102297 327 258 61 — — — — — —
201921 ROK MLEAZL Dodgers Mota — 4239 7201 2161 20 179238308546 128249 385 246 53 — — — — — —
202123 AA MLETulsa Drillers — 309288 52207 181481 01 181231260492 80331 486 225 38 — — — — — —
201517 ROK MLEDSL Dodgers — 249228 33611 16695 109 145217193410 48203 286 187 13 — — — — — —
201517 ROK RAWDSL Dodgers — 249221 49922 23575 109 222309308617 86290 239 286 13 — — — — — —
201618 ROK MLEAZL Dodgers — 192172 30613 19721 41 174260273534 99278 3810 231 42 — — — — — —
201618 ROK RAWAZL Dodgers — 192161 38814 30501 41 236359373732 137318 2616 336 42 — — — — — —
201719 ROK MLEOgden Raptors — 301272 65836 181077 114 239303357660 118364 366 291 83 — — — — — —
201719 ROK RAWOgden Raptors — 301260 871259 30747 114 335418523941 188433 2510 410 83 — — — — — —
201820 A MLEGreat Lakes Loons — 517485 831533 282112 75 171219233452 62293 415 205 25 — — — — — —
201820 A RAWGreat Lakes Loons — 517472 991945 401592 75 210274299573 89303 318 261 25 — — — — — —
201921 A MLE2 teams — 395360 751817 261307 41 208275322597 114302 337 257 60 — — — — — —
201921 A RAW2 teams — 395347 902219 39987 41 259346406752 147335 2510 338 60 — — — — — —
202022 INTL MLELeones del Caracas — 125108 30401 16341 22 278376343719 65397 2713 — — — — — — — —
202022 INTL RAWLeones del Caracas — 125108 30401 16341 22 278376343719 65397 2713 334 112 — — — — — —
202123 AA MLE2 teams — 449416 763011 262153 12 183236269505 87337 486 225 38 — — — — — —
202123 AA RAW2 teams — 449399 9612015 431633 12 241319383703 143362 3610 315 38 — — — — — —
202224 INTL MLENavegantes del Magallanes — 4844 13111 4110 22 295354432786 136375 238 — — — — — — — —
202224 INTL RAWNavegantes del Magallanes — 4844 13111 4110 22 295354432786 136375 238 350 123 — — — — — —
202325 INTL MLENavegantes del Magallanes — 206177 53926 26512 22 299395475870 175388 2513 — — — — — — — —
202325 INTL RAWNavegantes del Magallanes — 206177 53926 26512 22 299395475870 175388 2513 386 147 — — — — — —
202426 INTL MLECaribes de Anzoategui — 200185 5311010 13561 21 286337508845 222358 286 — — — — — — — —
202426 INTL RAWCaribes de Anzoategui — 200185 5311010 13561 21 286337508845 222358 286 368 136 — — — — — —
202527 INTL MLECaribes de Anzoategui — 195171 481017 19594 20 281366474840 193387 3010 — — — — — — — —
202527 INTL RAWCaribes de Anzoategui — 195171 481017 19594 20 281366474840 193387 3010 371 137 — — — — — —
202628 INTL MLECaribes de Anzoategui — 3129 10201 250 01 345387517904 172391 166 — — — — — — — —
202628 INTL RAWCaribes de Anzoategui — 3129 10201 250 01 345387517904 172391 166 399 156 — — — — — —
201517 ROK MLEDSL Dodgers — 249226 33611 16695 109 146217195412 49202 286 187 13 — — — — — —
201618 ROK MLEAZL Dodgers — 192170 30613 19721 41 176260276537 100265 3810 231 42 — — — — — —
201719 ROK MLEOgden Raptors — 301273 65836 181077 114 238303355658 117356 366 291 83 — — — — — —
201820 A MLEGreat Lakes Loons — 517482 831533 282112 75 172219234454 62291 415 205 25 — — — — — —
201921 A MLE2 teams — 395359 751817 261307 41 209275323598 114292 337 257 60 — — — — — —
202123 AA MLE2 teams — 449417 763011 262153 12 182236269505 86331 486 225 38 — — — — — —
▸ Career Totals
Career— MLE — 29082647 569931357 213102033 4730 215282325606 110323 357 167 -1 -348 -3 +0 -31 +63 -32.5
/ 162G— MLE — 650592 12821313 482287 117 216283328611 111325 357 167 -1 -78 -1 +0 -7 +14 -7.3

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.

2021 AATulsa Drillers · 309 PAwOBA .285 → .225 (−60)K% 37.9% → 47.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA37.86%÷0.966×1.220——47.80%
BB% (unintentional) /PA8.74%÷1.051×0.690—×1.0125.81%
HBP% /PA0.32%—×0.850—×1.0120.28%
Singles /BIP31.06%÷1.030×0.940×1.050×1.01230.10%
Doubles /BIP1.86%÷1.026×0.870×1.050×1.0121.68%
Triples /BIP0.00%÷0.900×0.920×1.050×1.0120.00%
Home runs /BIP6.21%÷0.935×0.780—×1.0125.25%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 87, 1B 106, 2B 105, 3B 80, K 93, BB 110 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .285 → .225; ISO .119 → .089; BABIP .346 → .331. 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 AGreat Lakes Loons · 353 PAwOBA .326 → .258 (−68)K% 24.6% → 32.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.65%÷1.035×1.360——32.38%
BB% (unintentional) /PA9.92%÷1.031×0.690——6.64%
HBP% /PA1.70%—×0.780——1.33%
Singles /BIP23.77%÷1.002×0.920×0.982—21.42%
Doubles /BIP8.52%÷0.934×0.830×0.982—7.44%
Triples /BIP0.45%÷1.061×0.910×0.982—0.38%
Home runs /BIP3.14%÷1.018×0.800——2.47%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 104, 1B 100, 2B 87, 3B 112, K 107, BB 106 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.982.

Result: wOBA .326 → .258; ISO .135 → .106; BABIP .335 → .297. 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 ROKAZL Dodgers Mota · 42 PAwOBA .372 → .246 (−126)K% 26.2% → 37.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.19%÷1.000×1.440——37.71%
BB% (unintentional) /PA9.52%÷1.000×0.620—×0.9755.76%
HBP% /PA2.38%—×0.720—×0.9751.67%
Singles /BIP19.23%÷1.000×0.820—×0.97515.38%
Doubles /BIP11.54%÷1.000×0.720—×0.9758.10%
Triples /BIP0.00%÷1.000×0.720—×0.9750.00%
Home runs /BIP7.69%÷1.000×0.780—×0.9755.85%

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).

Result: wOBA .372 → .246; ISO .243 → .160; BABIP .333 → .249. 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 AGreat Lakes Loons · 517 PAwOBA .254 → .205 (−49)K% 30.8% → 40.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA30.75%÷1.026×1.360——40.78%
BB% (unintentional) /PA7.54%÷0.962×0.690—×1.0155.49%
HBP% /PA0.39%—×0.780—×1.0150.31%
Singles /BIP22.68%÷0.977×0.920×1.033×1.01522.40%
Doubles /BIP6.07%÷0.983×0.830×1.033×1.0155.38%
Triples /BIP1.28%÷1.024×0.910×1.033×1.0151.19%
Home runs /BIP1.60%÷1.100×0.800—×1.0151.18%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 120, 1B 95, 2B 97, 3B 105, K 105, BB 92 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.033.

Result: wOBA .254 → .205; ISO .089 → .066; BABIP .303 → .291. 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).

2017 ROKOgden Raptors · 301 PAwOBA .404 → .291 (−113)K% 24.6% → 35.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.58%÷1.000×1.440——35.40%
BB% (unintentional) /PA9.97%÷1.000×0.610—×0.9956.05%
HBP% /PA2.33%—×0.720—×0.9951.67%
Singles /BIP32.80%÷1.000×0.820×1.050×0.99528.10%
Doubles /BIP6.45%÷1.000×0.720×1.050×0.9954.85%
Triples /BIP2.69%÷1.000×0.720×1.050×0.9952.02%
Home runs /BIP4.84%÷1.000×0.750—×0.9953.61%

Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .404 → .291; ISO .188 → .130; BABIP .433 → .356. 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).

2016 ROKAZL Dodgers · 192 PAwOBA .328 → .231 (−97)K% 26.0% → 37.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.04%÷1.000×1.440——37.50%
BB% (unintentional) /PA15.62%÷1.000×0.620—×1.0089.76%
HBP% /PA0.52%—×0.720—×1.0080.38%
Singles /BIP22.52%÷1.000×0.820×1.050×1.00819.54%
Doubles /BIP7.21%÷1.000×0.720×1.050×1.0085.49%
Triples /BIP0.90%÷1.000×0.720×1.050×1.0080.69%
Home runs /BIP3.60%÷1.000×0.780—×1.0082.83%

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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .328 → .231; ISO .137 → .096; BABIP .318 → .265. 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 DSLDSL Dodgers · 249 PAwOBA .279 → .187 (−92)K% 22.9% → 27.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.89%÷1.000×1.220——27.93%
BB% (unintentional) /PA9.24%÷1.000×0.700—×1.0086.51%
HBP% /PA2.01%—×0.700—×1.0081.42%
Singles /BIP21.95%÷1.000×0.680×1.050×1.00815.79%
Doubles /BIP5.49%÷1.000×0.600×1.050×1.0083.48%
Triples /BIP1.22%÷1.000×0.600×1.050×1.0080.77%
Home runs /BIP1.22%÷1.000×0.470—×1.0080.58%

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 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .279 → .187; ISO .086 → .049; BABIP .290 → .202. 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 — .