Anthony Jimenez

PosCF
B/TR/R
Born1995-10-21
Age (2027)31
No MLB projection yet. Career stats below are historical.
Overview
INTLPROSPECT
MLB%0%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WAR
202226INTLTiburones de …36.133/.278/.1330034—
202428INTLBravos de Mar…80.315/.375/.50731149—
202529INTLBravos de Mar…31.194/.194/.2580021—
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)
201418 ROKVSL Mariners — 264219 641940 33385 235 292397416812 123344 1412 359 53 — — — — — —
201519 ROKDSL Mariners 1 — 271237 681045 192813 306 287372426798 139307 107 357 40 — — — — — —
201519 INTLTigres de Aragua — 2219 8000 310 13 421500421921 444 514 424 173 — — — — — —
201620 ROKAZL Mariners — 203186 581151 12432 146 312358441799 129399 216 351 56 — — — — — —
201620 INTLAguilas del Zulia — 2221 3100 190 00 143182190372 48250 415 172 3 — — — — — —
201721 AClinton LumberKings — 256228 681727 19735 2410 298365482848 184407 297 369 80 — — — — — —
201822 A+Modesto Nuts — 415385 1012036 221037 137 262314377691 114344 255 310 51 — — — — — —
201822 INTLCardenales de Lara — 7168 14000 2131 11 206239206445 255 183 208 27 — — — — — —
201923 A+Modesto Nuts — 211188 42942 15538 106 223308346654 122301 257 298 33 — — — — — —
201923 INTLCardenales de Lara — 138126 34511 8343 43 270328349678 79363 256 307 94 — — — — — —
202024 INTLTigres de Aragua — 8880 24413 7191 12 300364487851 188362 228 376 141 — — — — — —
202125 INTLLeones del Caracas — 139125 33801 11322 51 264333352685 88348 238 311 97 — — — — — —
202226 INTLTiburones de La Guaira — 3630 4000 5111 00 133278133411 211 3114 218 34 — — — — — —
202428 INTLBravos de Margarita — 8073 23503 7210 11 315375507882 192408 269 389 149 — — — — — —
202529 INTLBravos de Margarita — 3131 6200 080 00 194194258452 65261 260 200 21 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201418 ROK MLEVSL Mariners — 264231 451230 21465 235 195276273549 78228 178 246 53 — — — — — —
201519 ROK MLEDSL Mariners 1 — 271244 44622 123413 306 180257246502 66201 134 228 40 — — — — — —
201620 ROK MLEAZL Mariners — 203192 44831 7622 146 229264318581 89326 313 251 56 — — — — — —
201721 A MLEClinton LumberKings — 256234 551315 131025 2410 235290363653 128379 405 286 80 — — — — — —
201822 A+ MLEModesto Nuts — 415394 841625 131397 137 213251302553 89313 333 243 51 — — — — — —
201923 A+ MLEModesto Nuts — 211193 32632 10738 106 166237259496 93248 355 217 33 — — — — — —
201418 ROK MLEVSL Mariners — 264231 451230 21465 235 195276273549 78237 178 246 53 — — — — — —
201418 ROK RAWVSL Mariners — 264219 641940 33385 235 292397416812 123344 1412 359 53 — — — — — —
201519 ROK MLE2 teams — 293265 50733 133713 319 189261272533 83208 134 228 40 — — — — — —
201519 ROK RAW2 teams — 293256 761045 222913 319 297381426807 129318 108 362 40 — — — — — —
201620 ROK MLE2 teams — 225213 49841 8692 146 230265319584 89333 314 251 56 — — — — — —
201620 ROK RAW2 teams — 225207 611251 13522 146 295341415756 121387 236 333 56 — — — — — —
201721 A MLEClinton LumberKings — 256234 551315 131025 2410 235290363653 128388 405 286 80 — — — — — —
201721 A RAWClinton LumberKings — 256228 681727 19735 2410 298365482848 184407 297 369 80 — — — — — —
201822 A+ MLE2 teams — 486461 981926 161638 148 213252302553 89315 343 243 51 — — — — — —
201822 A+ RAW2 teams — 486453 1152036 241168 148 254303351654 97329 245 295 51 — — — — — —
201923 A+ MLE2 teams — 349321 531044 1612011 149 165230259488 93249 345 217 33 — — — — — —
201923 A+ RAW2 teams — 349314 761453 238711 149 242316347663 105326 257 302 33 — — — — — —
202024 INTL MLETigres de Aragua — 8880 24413 7191 12 300364487851 188362 228 — — — — — — — —
202024 INTL RAWTigres de Aragua — 8880 24413 7191 12 300364487851 188362 228 376 141 — — — — — —
202125 INTL MLELeones del Caracas — 139125 33801 11322 51 264333352685 88348 238 — — — — — — — —
202125 INTL RAWLeones del Caracas — 139125 33801 11322 51 264333352685 88348 238 311 97 — — — — — —
202226 INTL MLETiburones de La Guaira — 3630 4000 5111 00 133278133411 211 3114 — — — — — — — —
202226 INTL RAWTiburones de La Guaira — 3630 4000 5111 00 133278133411 211 3114 218 34 — — — — — —
202428 INTL MLEBravos de Margarita — 8073 23503 7210 11 315375507882 192408 269 — — — — — — — —
202428 INTL RAWBravos de Margarita — 8073 23503 7210 11 315375507882 192408 269 389 149 — — — — — —
202529 INTL MLEBravos de Margarita — 3131 6200 080 00 194194258452 65261 260 — — — — — — — —
202529 INTL RAWBravos de Margarita — 3131 6200 080 00 194194258452 65261 260 200 21 — — — — — —
201418 ROK MLEVSL Mariners — 264236 451230 21465 235 191276267543 76228 178 246 53 — — — — — —
201519 ROK MLE2 teams — 293265 50733 133713 319 189261272533 83201 134 228 40 — — — — — —
201620 ROK MLE2 teams — 225213 49841 8692 146 230265319584 89326 314 251 56 — — — — — —
201721 A MLEClinton LumberKings — 256236 551315 131025 2410 233290360650 127379 405 286 80 — — — — — —
201822 A+ MLE2 teams — 486459 981926 161638 148 214252303554 89313 343 243 51 — — — — — —
201923 A+ MLE2 teams — 349319 531044 1612011 149 166230260490 94248 345 217 33 — — — — — —
▸ Career Totals
Career— MLE — 22472064 440881826 11762848 12751 213271311582 98292 285 203 23 -205 +5 +0 +8 +49 -14.6
/ 162G— MLE — 650597 1272558 3418214 3715 213272312583 99290 285 203 23 -59 +1 +0 +2 +14 -4.2

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.

2019 A+Modesto Nuts · 211 PAwOBA .291 → .217 (−73)K% 25.1% → 34.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.12%÷0.976×1.340——34.49%
BB% (unintentional) /PA7.11%÷1.052×0.710—×0.9884.74%
HBP% /PA3.79%—×0.790—×0.9882.96%
Singles /BIP20.00%÷1.005×0.910×0.968×0.98817.32%
Doubles /BIP6.67%÷1.050×0.820×0.968×0.9884.98%
Triples /BIP2.96%÷1.022×0.760×0.968×0.9882.11%
Home runs /BIP1.48%÷0.768×0.920—×0.9881.75%

Factors used: league row CAL. Park (home-season share, regressed): HR 54, 1B 101, 2B 110, 3B 104, K 95, BB 110 — 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 ×0.968.

Result: wOBA .291 → .217; ISO .122 → .094; BABIP .301 → .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).

2018 A+Modesto Nuts · 415 PAwOBA .301 → .243 (−58)K% 24.8% → 33.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.82%÷0.990×1.340——33.60%
BB% (unintentional) /PA5.06%÷1.106×0.710—×0.9983.24%
HBP% /PA1.69%—×0.790—×0.9981.33%
Singles /BIP25.53%÷1.003×0.910×1.025×0.99823.69%
Doubles /BIP7.09%÷0.951×0.820×1.025×0.9986.25%
Triples /BIP1.06%÷1.150×0.760×1.025×0.9980.72%
Home runs /BIP2.13%÷0.925×0.920—×0.9982.11%

Factors used: league row CAL. Park (home-season share, regressed): HR 85, 1B 101, 2B 90, 3B 130, K 98, BB 121 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.025.

Result: wOBA .301 → .243; ISO .114 → .093; BABIP .344 → .313. 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 AClinton LumberKings · 256 PAwOBA .362 → .286 (−76)K% 28.5% → 39.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.52%÷0.972×1.360——39.90%
BB% (unintentional) /PA7.42%÷1.036×0.690——4.94%
HBP% /PA1.95%—×0.780——1.52%
Singles /BIP27.10%÷0.951×0.920×1.005—26.33%
Doubles /BIP10.97%÷0.950×0.830×1.005—9.62%
Triples /BIP1.29%÷1.150×0.910×1.005—1.03%
Home runs /BIP4.52%÷0.931×0.800——3.88%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 86, 1B 90, 2B 90, 3B 130, K 94, BB 107 — 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 ×1.005.

Result: wOBA .362 → .286; ISO .184 → .140; BABIP .407 → .379. 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 Mariners · 203 PAwOBA .343 → .251 (−92)K% 21.2% → 30.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.18%÷1.000×1.440——30.50%
BB% (unintentional) /PA5.91%÷1.000×0.620—×0.9853.61%
HBP% /PA0.99%—×0.720—×0.9850.70%
Singles /BIP28.67%÷1.000×0.820×1.050×0.98524.32%
Doubles /BIP7.69%÷1.000×0.720×1.050×0.9855.73%
Triples /BIP3.50%÷1.000×0.720×1.050×0.9852.60%
Home runs /BIP0.70%÷1.000×0.780—×0.9850.54%

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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .343 → .251; ISO .129 → .089; BABIP .399 → .326. 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 Mariners 1 · 271 PAwOBA .347 → .228 (−118)K% 10.3% → 12.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA10.33%÷1.000×1.220——12.61%
BB% (unintentional) /PA6.27%÷1.000×0.700—×0.9854.33%
HBP% /PA4.80%—×0.700—×0.9853.31%
Singles /BIP23.44%÷1.000×0.680×1.013×0.98515.91%
Doubles /BIP4.78%÷1.000×0.600×1.013×0.9852.87%
Triples /BIP1.91%÷1.000×0.600×1.013×0.9851.15%
Home runs /BIP2.39%÷1.000×0.470—×0.9851.11%

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 ×1.013.

Result: wOBA .347 → .228; ISO .139 → .077; BABIP .307 → .201. 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 DSLVSL Mariners · 264 PAwOBA .353 → .246 (−107)K% 14.4% → 17.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.39%÷1.000×1.220——17.56%
BB% (unintentional) /PA11.36%÷1.000×0.700—×0.9957.91%
HBP% /PA1.89%—×0.700—×0.9951.32%
Singles /BIP22.65%÷1.000×0.680×1.019×0.99515.61%
Doubles /BIP10.50%÷1.000×0.600×1.019×0.9956.38%
Triples /BIP2.21%÷1.000×0.600×1.019×0.9951.34%
Home runs /BIP0.00%÷1.000×0.470—×0.9950.00%

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 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 ×1.019.

Result: wOBA .353 → .246; ISO .123 → .080; BABIP .344 → .228. 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 — .