Randy Romero

PosOF
B/TR/R
Born1999-08-10
Age (2027)27
No MLB projection yet. Career stats below are historical.
Overview
INTLPROSPECT
MLB%0%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WAR
202424INTLVenados de Ma…183.263/.304/.3101774—
202525INTLJaguares de N…183.232/.276/.27411549—
202626INTLCaneros de lo…48.268/.333/.2680166—
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)
201818 ROKDSL Pirates 1 — 197174 44721 17232 124 253326333660 80287 129 296 17 — — — — — —
201919 ROKDSL Pirates 2 — 245218 821351 17153 361 376429495924 119389 67 400 61 — — — — — —
201919 INTLVenados de Mazatlan — 3734 6100 190 20 176200206406 29240 243 176 5 — — — — — —
202020 INTLSultanes de Monterrey — 4943 6200 5110 50 140229186415 47188 2210 197 20 — — — — — —
202121 ROKFCL Pirates Gold — 170151 38540 11242 152 252311338649 86295 146 284 24 — — — — — —
202121 INTLVenados de Mazatlan — 311280 81921 16473 165 289334346681 57340 155 298 88 — — — — — —
202222 ABradenton Marauders — 123112 23301 6321 72 205252259511 54268 265 228 12 — — — — — —
202222 INTLVenados de Mazatlan — 282270 751142 7501 267 278299370669 93332 182 294 85 — — — — — —
202323 INTLMexico — 234219 52702 8430 125 237264297561 59286 183 246 53 — — — — — —
202424 INTLVenados de Mazatlan — 183171 45501 8362 76 263304310614 47328 204 278 74 — — — — — —
202525 INTLJaguares de Nayarit — 183164 38211 10330 154 232276274550 43280 185 240 49 — — — — — —
202626 INTLCaneros de los Mochis — 4841 11000 371 11 268333268602 314 156 266 66 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201818 ROK MLEDSL Pirates 1 — 197180 29410 11282 124 161218194412 33189 146 194 17 — — — — — —
201919 ROK MLEDSL Pirates 2 — 245225 53830 10183 361 236277298575 62241 74 258 61 — — — — — —
202121 ROK MLEFCL Pirates Gold — 170155 28320 7342 152 181226226451 45225 204 204 24 — — — — — —
202222 A MLEBradenton Marauders — 123114 20201 4441 72 175210219429 44249 363 186 12 — — — — — —
201818 ROK MLEDSL Pirates 1 — 197180 29410 11282 124 161218194412 33191 146 194 17 — — — — — —
201818 ROK RAWDSL Pirates 1 — 197174 44721 17232 124 253326333660 80287 129 296 17 — — — — — —
201919 ROK MLE2 teams — 282258 62931 12213 381 240282310592 70252 74 258 61 — — — — — —
201919 ROK RAW2 teams — 282252 881451 18243 381 349399456856 107373 96 370 61 — — — — — —
202020 INTL MLESultanes de Monterrey — 4943 6200 5110 50 140229186415 47188 2210 — — — — — — — —
202020 INTL RAWSultanes de Monterrey — 4943 6200 5110 50 140229186415 47188 2210 197 20 — — — — — —
202121 INTL MLE2 teams — 481439 82970 19975 317 187229239468 52236 204 204 24 — — — — — —
202121 INTL RAW2 teams — 481431 1191461 27715 317 276326343670 67324 156 293 24 — — — — — —
202222 INTL MLE2 teams — 405382 65702 131442 339 170202204406 34261 363 186 12 — — — — — —
202222 INTL RAW2 teams — 405382 981443 13822 339 257285338622 81315 203 274 12 — — — — — —
202323 INTL MLEMexico — 234219 52702 8430 125 237264297561 59286 183 — — — — — — — —
202323 INTL RAWMexico — 234219 52702 8430 125 237264297561 59286 183 246 53 — — — — — —
202424 INTL MLEVenados de Mazatlan — 183171 45501 8362 76 263304310614 47328 204 — — — — — — — —
202424 INTL RAWVenados de Mazatlan — 183171 45501 8362 76 263304310614 47328 204 278 74 — — — — — —
202525 INTL MLEJaguares de Nayarit — 183164 38211 10330 154 232276274550 43280 185 — — — — — — — —
202525 INTL RAWJaguares de Nayarit — 183164 38211 10330 154 232276274550 43280 185 240 49 — — — — — —
202626 INTL MLECaneros de los Mochis — 4841 11000 371 11 268333268602 314 156 — — — — — — — —
202626 INTL RAWCaneros de los Mochis — 4841 11000 371 11 268333268602 314 156 266 66 — — — — — —
201818 ROK MLEDSL Pirates 1 — 197182 29410 11282 124 159218192410 33189 146 194 17 — — — — — —
201919 ROK MLE2 teams — 282265 62931 12213 381 234282302584 68241 74 258 61 — — — — — —
202121 INTL MLE2 teams — 481454 82970 19975 317 181229231460 51225 204 204 24 — — — — — —
202222 INTL MLE2 teams — 405387 65702 131442 339 168202202403 34249 363 186 12 — — — — — —
▸ Career Totals
Career— MLE — 20621897 39045127 8942015 15437 206247253500 47257 204 138 -20 -296 +16 +0 -12 +45 -25.2
/ 162G— MLE — 650598 1231442 281325 4912 206247253500 47257 204 138 -20 -93 +5 +0 -4 +14 -8.0

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.

2022 ABradenton Marauders · 123 PAwOBA .228 → .186 (−41)K% 26.0% → 35.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.02%÷0.996×1.360——35.51%
BB% (unintentional) /PA4.88%÷1.015×0.690—×0.9903.28%
HBP% /PA0.81%—×0.780—×0.9900.63%
Singles /BIP23.75%÷0.999×0.920×1.050×0.99022.73%
Doubles /BIP3.75%÷1.082×0.830×1.050×0.9902.99%
Triples /BIP0.00%÷0.900×0.910×1.050×0.9900.00%
Home runs /BIP1.25%÷1.111×0.800—×0.9900.89%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 122, 1B 100, 2B 116, 3B 80, K 99, BB 103 — 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 ×1.050.

Result: wOBA .228 → .186; ISO .054 → .038; BABIP .268 → .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).

2021 ROKFCL Pirates Gold · 170 PAwOBA .280 → .204 (−76)K% 14.1% → 20.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.12%÷1.014×1.440——20.06%
BB% (unintentional) /PA6.47%÷0.982×0.620—×0.9753.98%
HBP% /PA1.18%—×0.720—×0.9750.83%
Singles /BIP22.83%÷0.986×0.820×0.988×0.97518.30%
Doubles /BIP3.94%÷1.039×0.720×0.988×0.9752.63%
Triples /BIP3.15%÷1.132×0.720×0.988×0.9751.93%
Home runs /BIP0.00%÷0.946×0.780—×0.9750.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 97, 2B 108, 3B 126, K 103, BB 96 — 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 ×0.988.

Result: wOBA .280 → .204; ISO .086 → .055; BABIP .295 → .225. 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 DSLDSL Pirates 2 · 245 PAwOBA .397 → .258 (−139)K% 6.1% → 7.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA6.12%÷1.000×1.220——7.47%
BB% (unintentional) /PA6.12%÷1.000×0.700—×0.9854.22%
HBP% /PA1.22%—×0.700—×0.9850.84%
Singles /BIP31.03%÷1.000×0.680×0.950×0.98519.75%
Doubles /BIP6.40%÷1.000×0.600×0.950×0.9853.60%
Triples /BIP2.46%÷1.000×0.600×0.950×0.9851.38%
Home runs /BIP0.49%÷1.000×0.470—×0.9850.23%

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 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .397 → .258; ISO .119 → .069; BABIP .389 → .241. 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 DSLDSL Pirates 1 · 197 PAwOBA .287 → .194 (−93)K% 11.7% → 14.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.68%÷1.000×1.220——14.24%
BB% (unintentional) /PA8.12%÷1.000×0.700—×0.9955.66%
HBP% /PA1.02%—×0.700—×0.9950.71%
Singles /BIP22.52%÷1.000×0.680×1.000×0.99515.24%
Doubles /BIP4.64%÷1.000×0.600×1.000×0.9952.77%
Triples /BIP1.32%÷1.000×0.600×1.000×0.9950.79%
Home runs /BIP0.66%÷1.000×0.470—×0.9950.31%

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 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.000.

Result: wOBA .287 → .194; ISO .080 → .047; BABIP .287 → .189. 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 — .