Hector Hernandez

PosSS
B/TL/R
Born1983-01-21
Age (2027)44
No MLB projection yet. Career stats below are historical.
Overview
INTLLAST SEASON 2022
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WAR
202037INTLAguilas de Me…83.268/.350/.3380093—
202138INTLAguilas de Me…54.184/.216/.2240015—
202239INTLAlgodoneros d…77.208/.219/.2640025—
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)
200522 AAARojos del Aguila de Veracruz — 314289 87717 10482 61 301329405734 104338 153 315 90 — — — — — —
200623 AAARojos del Aguila de Veracruz — 407366 951714 26512 116 260312344656 85290 136 289 68 — — — — — —
200724 AAARieleros de Aguascalientes — 383346 961537 21455 44 277328399727 121300 125 317 82 — — — — — —
200825 AAARojos del Aguila de Veracruz — 256232 61620 12351 42 263302306608 43303 145 266 61 — — — — — —
200926 AAARojos del Aguila de Veracruz — 349321 931215 19292 43 290333380713 90304 85 315 72 — — — — — —
201027 AAARojos del Aguila de Veracruz — 358318 871163 21403 44 274325374699 101301 116 300 69 — — — — — —
201128 AAARojos del Aguila de Veracruz — 337310 88843 10342 84 284311365675 81307 103 289 76 — — — — — —
201128 INTLAguilas de Mexicali — 3430 4000 350 00 133212133345 160 159 168 0 — — — — — —
201229 AAADelfines de Ciudad del Carmen — 378347 1001732 19441 31 288327372699 84325 125 305 63 — — — — — —
201330 AAAPiratas de Campeche — 155140 32311 9180 11 229275286561 57256 126 247 32 — — — — — —
201431 AAAToros de Tijuana — 388359 901228 17380 62 251284362646 111259 104 280 45 — — — — — —
201431 INTLNaranjeros de Hermosillo — 4338 8000 450 00 211286211496 242 129 233 44 — — — — — —
201532 AAAToros de Tijuana — 162148 32501 11151 41 216275270545 54235 97 250 19 — — — — — —
201633 AAABroncos de Reynosa — 346316 87911 16333 22 275316320636 44301 105 281 51 — — — — — —
201633 INTLAguilas de Mexicali — 10897 21100 3120 00 216240227467 10241 113 199 21 — — — — — —
201734 AAAVaqueros Union Laguna — 225201 57801 18231 11 284345338684 55313 108 307 61 — — — — — —
201734 INTLAguilas de Mexicali — 1515 1000 010 00 676767133 71 70 60 -73 — — — — — —
201835 INTLAguilas de Mexicali — 1917 3000 021 00 176222176399 200 110 182 9 — — — — — —
201936 AAALeones de Yucatan — 211186 641102 15283 11 344400435835 91390 137 365 93 — — — — — —
201936 INTLAguilas de Mexicali — 8071 22300 360 10 310338352690 42338 84 289 82 — — — — — —
202037 INTLAguilas de Mexicali — 8371 19310 980 02 268350338688 70288 1011 305 93 — — — — — —
202138 INTLAguilas de Mexicali — 5449 9200 270 00 184216224440 41209 134 191 15 — — — — — —
202239 INTLAlgodoneros de Guasave — 7772 15210 1130 00 208219264483 56254 171 204 25 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200522 AAA MLERojos del Aguila de Veracruz — 314292 89715 7572 61 305326387713 82340 182 301 90 — — — — — —
200623 AAA MLERojos del Aguila de Veracruz — 407375 961613 17612 116 256292328620 72285 154 269 68 — — — — — —
200724 AAA MLERieleros de Aguascalientes — 383352 941435 15545 44 267306366673 99290 144 289 82 — — — — — —
200825 AAA MLERojos del Aguila de Veracruz — 256236 63620 8421 42 267294309603 42302 163 259 61 — — — — — —
200926 AAA MLERojos del Aguila de Veracruz — 349327 871014 13352 43 266298339638 73280 104 275 72 — — — — — —
201027 AAA MLERojos del Aguila de Veracruz — 358325 84962 14463 44 258295342637 83277 134 270 69 — — — — — —
201128 AAA MLERojos del Aguila de Veracruz — 337314 90842 6402 84 287304357661 70302 122 280 76 — — — — — —
201229 AAA MLEDelfines de Ciudad del Carmen — 378355 931432 11511 31 262286335621 73286 133 261 63 — — — — — —
201330 AAA MLEPiratas de Campeche — 155143 31311 6220 11 217248273521 56235 144 215 32 — — — — — —
201431 AAA MLEToros de Tijuana — 388367 831124 10430 62 226247300546 74235 113 235 45 — — — — — —
201532 AAA MLEToros de Tijuana — 162152 28401 7181 41 184225230455 46201 114 197 19 — — — — — —
201633 AAA MLEBroncos de Reynosa — 346322 79711 10393 22 245275283557 37265 113 244 51 — — — — — —
201734 AAA MLEVaqueros Union Laguna — 225208 52701 11281 11 250291298589 48273 125 258 61 — — — — — —
201936 AAA MLELeones de Yucatan — 211194 56902 8333 11 289327366693 77325 164 305 93 — — — — — —
200522 AAA MLERojos del Aguila de Veracruz — 314292 89715 7572 61 305326387713 82361 182 301 90 — — — — — —
200522 AAA RAWRojos del Aguila de Veracruz — 314289 87717 10482 61 301329405734 104338 153 315 90 — — — — — —
200623 AAA MLERojos del Aguila de Veracruz — 407375 961613 17612 116 256292328620 72296 154 269 68 — — — — — —
200623 AAA RAWRojos del Aguila de Veracruz — 407366 951714 26512 116 260312344656 85290 136 289 68 — — — — — —
200724 AAA MLERieleros de Aguascalientes — 383352 941435 15545 44 267306366673 99301 144 289 82 — — — — — —
200724 AAA RAWRieleros de Aguascalientes — 383346 961537 21455 44 277328399727 121300 125 317 82 — — — — — —
200825 AAA MLERojos del Aguila de Veracruz — 256236 63620 8421 42 267294309603 42318 163 259 61 — — — — — —
200825 AAA RAWRojos del Aguila de Veracruz — 256232 61620 12351 42 263302306608 43303 145 266 61 — — — — — —
200926 AAA MLERojos del Aguila de Veracruz — 349327 871014 13352 43 266298339638 73286 104 275 72 — — — — — —
200926 AAA RAWRojos del Aguila de Veracruz — 349321 931215 19292 43 290333380713 90304 85 315 72 — — — — — —
201027 AAA MLERojos del Aguila de Veracruz — 358325 84962 14463 44 258295342637 83292 134 270 69 — — — — — —
201027 AAA RAWRojos del Aguila de Veracruz — 358318 871163 21403 44 274325374699 101301 116 300 69 — — — — — —
201128 AAA MLE2 teams — 371346 98852 7442 84 283301353654 69316 122 280 76 — — — — — —
201128 AAA RAW2 teams — 371340 92843 13392 84 271301344646 74295 114 278 76 — — — — — —
201229 AAA MLEDelfines de Ciudad del Carmen — 378355 931432 11511 31 262286335621 73300 133 261 63 — — — — — —
201229 AAA RAWDelfines de Ciudad del Carmen — 378347 1001732 19441 31 288327372699 84325 125 305 63 — — — — — —
201330 AAA MLEPiratas de Campeche — 155143 31311 6220 11 217248273521 56250 144 215 32 — — — — — —
201330 AAA RAWPiratas de Campeche — 155140 32311 9180 11 229275286561 57256 126 247 32 — — — — — —
201431 AAA MLE2 teams — 431408 921225 11480 62 225246301547 76243 113 235 45 — — — — — —
201431 AAA RAW2 teams — 431397 981228 21430 62 247284348632 101258 105 275 45 — — — — — —
201532 AAA MLEToros de Tijuana — 162152 28401 7181 41 184225230455 46203 114 197 19 — — — — — —
201532 AAA RAWToros de Tijuana — 162148 32501 11151 41 216275270545 54235 97 250 19 — — — — — —
201633 AAA MLE2 teams — 454419 1041011 13513 22 248276284560 36276 113 244 51 — — — — — —
201633 AAA RAW2 teams — 454413 1081011 19453 22 262299298597 36287 104 262 51 — — — — — —
201734 AAA MLE2 teams — 240222 55701 12301 11 248289293582 45280 125 258 61 — — — — — —
201734 AAA RAW2 teams — 240216 58801 18241 11 269328319647 51295 108 292 61 — — — — — —
201835 INTL MLEAguilas de Mexicali — 1917 3000 021 00 176222176399 200 110 — — — — — — — —
201835 INTL RAWAguilas de Mexicali — 1917 3000 021 00 176222176399 200 110 182 9 — — — — — —
201936 AAA MLE2 teams — 291265 771302 11453 21 291326362688 72339 154 305 93 — — — — — —
201936 AAA RAW2 teams — 291257 861402 18343 21 335384412796 78375 126 345 93 — — — — — —
202037 INTL MLEAguilas de Mexicali — 8371 19310 980 02 268350338688 70288 1011 — — — — — — — —
202037 INTL RAWAguilas de Mexicali — 8371 19310 980 02 268350338688 70288 1011 305 93 — — — — — —
202138 INTL MLEAguilas de Mexicali — 5449 9200 270 00 184216224440 41209 134 — — — — — — — —
202138 INTL RAWAguilas de Mexicali — 5449 9200 270 00 184216224440 41209 134 191 15 — — — — — —
202239 INTL MLEAlgodoneros de Guasave — 7772 15210 1130 00 208219264483 56254 171 — — — — — — — —
202239 INTL RAWAlgodoneros de Guasave — 7772 15210 1130 00 208219264483 56254 171 204 25 — — — — — —
200522 AAA MLERojos del Aguila de Veracruz — 314302 89715 7572 61 295326374700 79340 182 301 90 — — — — — —
200623 AAA MLERojos del Aguila de Veracruz — 407385 961613 17612 116 249292319611 70285 154 269 68 — — — — — —
200724 AAA MLERieleros de Aguascalientes — 383360 941435 15545 44 261306358665 97290 144 289 82 — — — — — —
200825 AAA MLERojos del Aguila de Veracruz — 256245 63620 8421 42 257294298592 41302 163 259 61 — — — — — —
200926 AAA MLERojos del Aguila de Veracruz — 349331 871014 13352 43 263298335634 73280 104 275 72 — — — — — —
201027 AAA MLERojos del Aguila de Veracruz — 358338 84962 14463 44 249295328624 80277 134 270 69 — — — — — —
201128 AAA MLE2 teams — 371359 98852 7442 84 273301340641 67302 122 280 76 — — — — — —
201229 AAA MLEDelfines de Ciudad del Carmen — 378363 931432 11511 31 256286328614 72286 133 261 63 — — — — — —
201330 AAA MLEPiratas de Campeche — 155148 31311 6220 11 209248264512 54235 144 215 32 — — — — — —
201431 AAA MLE2 teams — 431417 921225 11480 62 221246295541 74235 113 235 45 — — — — — —
201532 AAA MLEToros de Tijuana — 162153 28401 7181 41 183225229454 46201 114 197 19 — — — — — —
201633 AAA MLE2 teams — 454435 1041011 13513 22 239276274549 34265 113 244 51 — — — — — —
201734 AAA MLE2 teams — 240225 55701 12301 11 244289289578 44273 125 258 61 — — — — — —
201936 AAA MLE2 teams — 291275 771302 11453 21 280326349675 69325 154 305 93 — — — — — —
▸ Career Totals
Career— MLE — 47824426 11371402834 16463427 6035 257288324612 67290 133 252 57 -247 -2 +0 +51 +104 -9.6
/ 162G— MLE — 650602 1551945 22864 85 257289327616 70290 133 252 57 -34 -0 +0 +7 +14 -1.3

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.

2019 AAALeones de Yucatan · 211 PAwOBA .356 → .305 (−51)K% 13.3% → 15.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.27%÷1.018×1.200——15.64%
BB% (unintentional) /PA5.69%÷0.986×0.690—×0.9403.74%
HBP% /PA1.42%—×0.940—×0.9401.26%
Singles /BIP32.28%÷0.992×0.930×0.950×0.94027.02%
Doubles /BIP6.96%÷0.910×0.830×0.950×0.9405.67%
Triples /BIP0.00%÷1.150×0.920×0.950×0.9400.00%
Home runs /BIP1.27%÷0.792×0.700—×0.9401.05%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 58, 1B 98, 2B 82, 3B 130, K 104, BB 97 — applied at half strength. Age: age 36 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (8.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .356 → .305; ISO .091 → .079; BABIP .390 → .325. 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 AAAVaqueros Union Laguna · 225 PAwOBA .300 → .258 (−43)K% 10.2% → 12.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA10.22%÷0.993×1.200——12.35%
BB% (unintentional) /PA7.56%÷0.991×0.690—×0.9404.95%
HBP% /PA0.44%—×0.940—×0.9400.39%
Singles /BIP26.97%÷1.039×0.930×1.045×0.94023.70%
Doubles /BIP4.49%÷0.972×0.830×1.045×0.9403.77%
Triples /BIP0.00%÷1.150×0.920×1.045×0.9400.00%
Home runs /BIP0.56%÷0.879×0.700—×0.9400.42%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 76, 1B 108, 2B 94, 3B 130, K 99, BB 98 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.045.

Result: wOBA .300 → .258; ISO .055 → .046; BABIP .313 → .273. 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 AAABroncos de Reynosa · 346 PAwOBA .276 → .244 (−32)K% 9.5% → 11.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA9.54%÷1.022×1.200——11.20%
BB% (unintentional) /PA4.34%÷0.970×0.690—×0.9422.90%
HBP% /PA0.87%—×0.940—×0.9420.77%
Singles /BIP26.86%÷1.014×0.930×1.030×0.94223.90%
Doubles /BIP3.18%÷1.030×0.830×1.030×0.9422.49%
Triples /BIP0.35%÷0.900×0.920×1.030×0.9420.35%
Home runs /BIP0.35%÷0.874×0.700—×0.9420.27%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 75, 1B 103, 2B 106, 3B 80, K 104, BB 94 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.030.

Result: wOBA .276 → .244; ISO .044 → .037; BABIP .301 → .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 AAAToros de Tijuana · 162 PAwOBA .243 → .197 (−46)K% 9.3% → 11.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA9.26%÷0.978×1.200——11.36%
BB% (unintentional) /PA6.79%÷1.013×0.690—×0.9524.40%
HBP% /PA0.62%—×0.940—×0.9520.55%
Singles /BIP19.55%÷0.982×0.930×0.976×0.95217.19%
Doubles /BIP3.76%÷1.026×0.830×0.976×0.9522.83%
Triples /BIP0.00%÷1.046×0.920×0.976×0.9520.00%
Home runs /BIP0.75%÷1.208×0.700—×0.9520.41%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 142, 1B 96, 2B 105, 3B 109, K 96, BB 103 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.976.

Result: wOBA .243 → .197; ISO .054 → .037; BABIP .235 → .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 AAAToros de Tijuana · 388 PAwOBA .273 → .235 (−39)K% 9.8% → 11.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA9.79%÷1.058×1.200——11.11%
BB% (unintentional) /PA4.12%÷1.035×0.690—×0.9622.65%
HBP% /PA0.00%—×0.940—×0.9620.00%
Singles /BIP21.18%÷0.982×0.930×1.015×0.96219.60%
Doubles /BIP3.74%÷0.956×0.830×1.015×0.9623.17%
Triples /BIP0.62%÷0.901×0.920×1.015×0.9620.62%
Home runs /BIP2.49%÷1.271×0.700—×0.9621.32%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 154, 1B 96, 2B 91, 3B 80, K 112, BB 107 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.

Result: wOBA .273 → .235; ISO .111 → .078; BABIP .259 → .235. 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 AAAPiratas de Campeche · 155 PAwOBA .238 → .215 (−22)K% 11.6% → 14.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.61%÷0.996×1.200——13.99%
BB% (unintentional) /PA5.16%÷0.959×0.690—×0.9723.61%
HBP% /PA0.00%—×0.940—×0.9720.00%
Singles /BIP22.13%÷0.990×0.930×1.024×0.97220.70%
Doubles /BIP2.46%÷0.994×0.830×1.024×0.9722.04%
Triples /BIP0.82%÷1.150×0.920×1.024×0.9720.65%
Home runs /BIP0.82%÷0.988×0.700—×0.9720.56%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 98, 1B 98, 2B 99, 3B 130, K 99, BB 92 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.024.

Result: wOBA .238 → .215; ISO .057 → .046; BABIP .256 → .235. 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 AAADelfines de Ciudad del Carmen · 378 PAwOBA .295 → .261 (−34)K% 11.6% → 13.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.64%÷1.040×1.200——13.43%
BB% (unintentional) /PA4.23%÷1.015×0.690—×0.9822.83%
HBP% /PA0.26%—×0.940—×0.9820.24%
Singles /BIP25.74%÷1.017×0.930×1.009×0.98223.33%
Doubles /BIP5.61%÷1.073×0.830×1.009×0.9824.30%
Triples /BIP0.99%÷1.000×0.920×1.009×0.9820.90%
Home runs /BIP0.66%÷0.889×0.700—×0.9820.51%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 78, 1B 103, 2B 114, 3B 100, K 108, BB 103 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.009.

Result: wOBA .295 → .261; ISO .084 → .069; BABIP .325 → .286. 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 AAARojos del Aguila de Veracruz · 337 PAwOBA .284 → .280 (−4)K% 10.1% → 11.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA10.09%÷1.017×1.200——11.90%
BB% (unintentional) /PA2.67%÷1.016×0.690—×0.9921.80%
HBP% /PA0.59%—×0.940—×0.9920.55%
Singles /BIP26.45%÷0.963×0.930×1.035×0.99226.22%
Doubles /BIP2.90%÷0.941×0.830×1.035×0.9922.62%
Triples /BIP1.45%÷0.900×0.920×1.035×0.9921.52%
Home runs /BIP1.09%÷1.007×0.700—×0.9920.75%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 101, 1B 93, 2B 88, 3B 80, K 103, BB 103 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.035.

Result: wOBA .284 → .280; ISO .081 → .074; BABIP .307 → .302. 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 — .