Fernando Martinez

PosLF
B/TL/R
Born1988-10-10
Age (2027)38
No MLB projection yet. Career stats below are historical.
Overview
INTLLAST SEASON 2016
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201425INTLEstrellas de …57.241/.281/.3702084—
201526AAARojos del Agu…29.179/.207/.286108—.179/.207/.286
201627INTLEstrellas Ori…21.143/.143/.2861012—
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)
200617 A+St. Lucie Mets — 130119 23425 6244 11 193256387642 193198 185 283 50 — — — — — —
200617 AHagerstown Suns — 211192 641425 15363 74 333390505896 172388 177 394 120 — — — — — —
200718 AABinghamton Mets — 259236 641114 20513 34 271336377713 106331 208 323 86 — — — — — —
200819 AABinghamton Mets — 385352 1011948 27733 62 287343432775 145339 197 343 100 — — — — — —
200819 ROKGCL Mets — 1514 6110 021 00 4294676431.110 214500 130 484 119 — — — — — —
200920 MLBNew York Mets — 10091 16601 5143 20 176242275517 99197 145 236 46 -6 +0 -1 -3 +2 -0.8
200920 AAABuffalo Bisons — 190176 511628 11332 21 290339540878 250316 176 380 114 — — — — — —
201021 MLBNew York Mets — 2218 3000 152 01 167286167452 214 235 222 39 -2 -0 -1 -3 +0 -0.6
201021 AAABuffalo Bisons — 287257 6516012 17658 10 253319455774 202291 236 337 84 — — — — — —
201021 A+St. Lucie Mets — 1615 4100 120 00 267312333646 67308 126 294 51 — — — — — —
201122 MLBNew York Mets — 2322 5201 170 00 227261455715 227286 304 311 103 +0 +0 -0 -3 +0 -0.3
201122 AAABuffalo Bisons — 250223 581108 18606 00 260332417749 157318 247 332 80 — — — — — —
201122 INTLLeones del Escogido — 2826 2100 151 00 77143115258 3895 184 129 -26 — — — — — —
201223 MLBHouston Astros — 130118 28716 6345 01 237302466768 229278 265 336 112 +2 -0 -4 -6 +3 -0.5
201223 AAAOklahoma City RedHawks — 373341 10723213 24856 12 314369507877 194384 236 384 105 — — — — — —
201223 INTLLeones del Escogido — 3128 6201 370 00 214290393683 179250 2310 305 93 — — — — — —
201324 MLBHouston Astros — 3533 6001 1121 00 182229273501 91250 343 230 42 -2 +0 -2 -3 +1 -0.7
201324 AAAScranton/Wilkes-Barre RailRiders — 211188 501217 17434 10 266340452792 186307 208 349 97 — — — — — —
201324 INTLLeones del Escogido — 7159 18700 12130 00 305423424846 119391 1817 385 146 — — — — — —
201425 INTLEstrellas de Oriente — 5754 13102 172 01 241281370651 130244 122 292 84 — — — — — —
201526 AAARojos del Aguila de Veracruz — 2928 5001 071 00 179207286493 107200 240 222 8 — — — — — —
201627 INTLEstrellas Orientales — 2121 3001 080 00 143143286429 143167 380 185 12 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 310282 581519 147211 22 206270362632 156241 235 282 77 -9 -0 -8 -19 +7 -2.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200617 A+ MLESt. Lucie Mets — 130120 21424 5344 11 175233342574 167192 264 242 50 — — — — — —
200617 A MLEHagerstown Suns — 211197 601224 10483 74 305348447794 142382 235 345 120 — — — — — —
200718 AA MLEBinghamton Mets — 259243 641013 13623 34 263309350659 86346 245 296 86 — — — — — —
200819 AA MLEBinghamton Mets — 385361 1011846 18893 62 280319402721 122349 235 316 100 — — — — — —
200819 ROK MLEGCL Mets — 1514 5110 031 00 357400571971 214391 200 344 119 — — — — — —
200920 MLB MLENew York Mets — 10091 16601 5143 20 176242275517 99197 145 236 46 -6 +0 -1 -3 +2 -0.8
200920 AAA MLEBuffalo Bisons — 190179 481427 8402 21 268307486793 218305 214 336 114 — — — — — —
201021 MLB MLENew York Mets — 2218 3000 152 01 167286167452 214 235 225 39 -2 -0 -1 -3 +0 -0.6
201021 AAA MLEBuffalo Bisons — 287261 6012010 13798 10 230287391678 161281 285 293 84 — — — — — —
201021 A+ MLESt. Lucie Mets — 1616 4100 030 00 250250312562 62284 190 243 51 — — — — — —
201122 MLB MLENew York Mets — 2322 5201 170 00 227261455715 227286 304 320 103 +0 +0 -0 -3 +0 -0.3
201122 AAA MLEBuffalo Bisons — 250229 541006 12706 00 236291358650 122306 285 286 80 — — — — — —
201223 MLB MLEHouston Astros — 130118 28716 6345 01 237302466768 229278 265 334 112 +2 -0 -4 -6 +3 -0.5
201223 AAA MLEOklahoma City RedHawks — 373350 9720210 151086 12 277318431749 154368 294 324 105 — — — — — —
201324 MLB MLEHouston Astros — 3533 6001 1121 00 182229273501 91250 343 231 42 -2 +0 -2 -3 +1 -0.7
201324 AAA MLEScranton/Wilkes-Barre RailRiders — 211194 481016 11514 10 247301402703 155301 245 312 97 — — — — — —
201526 AAA MLERojos del Aguila de Veracruz — 2928 5001 081 00 179207286493 107185 280 180 8 — — — — — —
200617 A MLE2 teams — 341317 811648 15827 85 256304407711 151319 244 306 93 — — — — — —
200617 A RAW2 teams — 341311 8718410 21607 85 280339460799 180317 186 352 93 — — — — — —
200718 AA MLEBinghamton Mets — 259243 641013 13623 34 263309350659 86343 245 296 86 — — — — — —
200718 AA RAWBinghamton Mets — 259236 641114 20513 34 271336377713 106331 208 323 86 — — — — — —
200819 AA MLE2 teams — 400375 1051856 18924 62 280320403723 123354 234 317 101 — — — — — —
200819 AA RAW2 teams — 400366 1072058 27754 62 292348440787 148346 197 348 101 — — — — — —
200920 AAA MLE2 teams — 290270 642028 13545 41 237285415700 178268 194 302 90 — — — — — —
200920 AAA RAW2 teams — 290267 672229 16475 41 251306449755 199274 166 330 90 — — — — — —
201021 AAA MLE3 teams — 325295 6713010 148710 11 227285373658 146284 274 286 80 — — — — — —
201021 AAA RAW3 teams — 325290 7217012 197210 11 248317431748 183287 226 327 80 — — — — — —
201122 AAA MLE3 teams — 301277 651308 14857 00 235289368657 134306 285 289 82 — — — — — —
201122 AAA RAW3 teams — 301271 651409 20727 00 240309391700 151292 247 312 82 — — — — — —
201223 AAA MLE3 teams — 534498 13329317 2215111 13 267313440752 173348 284 327 107 — — — — — —
201223 AAA RAW3 teams — 534487 14132320 3312611 13 290348491839 201352 246 368 107 — — — — — —
201324 AAA MLE3 teams — 317294 691319 16815 10 235286378663 143291 265 300 89 — — — — — —
201324 AAA RAW3 teams — 317280 741918 30685 10 264346425771 161320 219 344 89 — — — — — —
201425 INTL MLEEstrellas de Oriente — 5754 13102 172 01 241281370651 130244 122 — — — — — — — —
201425 INTL RAWEstrellas de Oriente — 5754 13102 172 01 241281370651 130244 122 292 84 — — — — — —
201526 AAA MLERojos del Aguila de Veracruz — 2928 5001 081 00 179207286493 107211 280 180 8 — — — — — —
201526 AAA RAWRojos del Aguila de Veracruz — 2928 5001 071 00 179207286493 107200 240 222 8 — — — — — —
201627 INTL MLEEstrellas Orientales — 2121 3001 080 00 143143286429 143167 380 — — — — — — — —
201627 INTL RAWEstrellas Orientales — 2121 3001 080 00 143143286429 143167 380 185 12 — — — — — —
200617 A MLE2 teams — 341316 811648 15827 85 256304408712 152310 244 306 93 — — — — — —
200718 AA MLEBinghamton Mets — 259241 641013 13623 34 266309353662 87346 245 296 86 — — — — — —
200819 AA MLE2 teams — 400375 1051856 18924 62 280320403723 123351 234 317 101 — — — — — —
200920 AAA MLE2 teams — 290270 642028 13545 41 237285415700 178268 194 302 90 — — — — — —
201021 AAA MLE3 teams — 325298 6713010 148710 11 225285369654 144277 274 286 80 — — — — — —
201122 AAA MLE3 teams — 301277 651308 14857 00 235289368657 134304 285 289 82 — — — — — —
201223 AAA MLE3 teams — 534496 13329317 2215111 13 268313442754 173345 284 327 107 — — — — — —
201324 AAA MLE3 teams — 317293 691319 16815 10 235286379665 143294 265 300 89 — — — — — —
201526 AAA MLERojos del Aguila de Veracruz — 2928 5001 081 00 179207286493 107185 280 180 8 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 310282 581519 147211 22 206270362632 156241 235 282 86 -9 -0 -8 -19 +7 -2.9
/ 162G— A+C — 650591 12131219 2915123 44 205269360629 156240 234 282 86 -18 -1 -16 -40 +14 -6.1
Career— MLE — 28742672 6691331673 12671755 2417 250298394692 144314 254 296 86 -9 -0 -8 -19 +7 -2.9
/ 162G— MLE — 650604 15230417 2816212 54 252298399697 147315 254 296 86 -18 -1 -16 -40 +14 -6.1

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.

2015 AAARojos del Aguila de Veracruz · 29 PAwOBA .215 → .180 (−36)K% 24.1% → 28.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.14%÷1.009×1.200——28.72%
BB% (unintentional) /PA0.00%÷1.121×0.690—×1.0030.00%
HBP% /PA3.45%—×0.940—×1.0033.25%
Singles /BIP19.05%÷0.998×0.930—×1.00317.81%
Doubles /BIP0.00%÷1.074×0.830—×1.0030.00%
Triples /BIP0.00%÷0.900×0.920—×1.0030.00%
Home runs /BIP4.76%÷0.920×0.700—×1.0033.63%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 84, 1B 100, 2B 115, 3B 80, K 102, BB 124 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average).

Result: wOBA .215 → .180; ISO .107 → .077; BABIP .200 → .185. 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 AAAScranton/Wilkes-Barre RailRiders · 211 PAwOBA .341 → .312 (−29)K% 20.4% → 24.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.38%÷1.010×1.200——24.21%
BB% (unintentional) /PA7.58%÷1.015×0.690—×1.0335.32%
HBP% /PA1.90%—×0.940—×1.0331.84%
Singles /BIP20.69%÷0.971×0.930×1.042×1.03321.33%
Doubles /BIP8.28%÷1.026×0.830×1.042×1.0337.21%
Triples /BIP0.69%÷1.000×0.970×1.042×1.0330.72%
Home runs /BIP4.83%÷0.976×0.840—×1.0334.29%

Factors used: league row IL. Park (home-season share, regressed): HR 95, 1B 94, 2B 105, 3B 100, K 102, BB 103 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.042.

Result: wOBA .341 → .312; ISO .186 → .166; BABIP .307 → .301. 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 AAAOklahoma City RedHawks · 373 PAwOBA .373 → .324 (−49)K% 22.8% → 28.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.79%÷1.018×1.290——28.88%
BB% (unintentional) /PA5.63%÷1.079×0.710—×1.0483.88%
HBP% /PA1.61%—×0.980—×1.0481.65%
Singles /BIP26.95%÷1.001×0.900×1.050×1.04826.67%
Doubles /BIP8.98%÷0.960×0.810×1.050×1.0488.34%
Triples /BIP0.78%÷1.101×0.810×1.050×1.0480.63%
Home runs /BIP5.08%÷1.033×0.780—×1.0484.02%

Factors used: league row PCL. Park (home-season share, regressed): HR 107, 1B 100, 2B 92, 3B 120, K 104, BB 116 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .373 → .324; ISO .194 → .155; BABIP .384 → .368. 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 AAABuffalo Bisons · 250 PAwOBA .326 → .286 (−40)K% 24.0% → 28.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.00%÷1.026×1.200——28.06%
BB% (unintentional) /PA7.20%÷1.088×0.690—×1.0504.79%
HBP% /PA2.40%—×0.940—×1.0502.37%
Singles /BIP23.93%÷1.008×0.930×1.019×1.05023.63%
Doubles /BIP6.75%÷0.977×0.830×1.019×1.0506.14%
Triples /BIP0.00%÷0.981×0.970×1.019×1.0500.00%
Home runs /BIP4.91%÷1.139×0.840—×1.0503.80%

Factors used: league row IL. Park (home-season share, regressed): HR 128, 1B 102, 2B 95, 3B 96, K 105, BB 118 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.019.

Result: wOBA .326 → .286; ISO .157 → .127; BABIP .318 → .306. 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).

2010 AAABuffalo Bisons · 287 PAwOBA .330 → .293 (−37)K% 22.6% → 27.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.65%÷0.984×1.200——27.62%
BB% (unintentional) /PA5.92%÷0.958×0.690—×1.0504.48%
HBP% /PA2.79%—×0.940—×1.0502.75%
Singles /BIP19.27%÷0.969×0.930×1.039×1.05020.18%
Doubles /BIP8.33%÷1.133×0.830×1.039×1.0506.66%
Triples /BIP0.00%÷1.150×0.970×1.039×1.0500.00%
Home runs /BIP6.25%÷1.026×0.840—×1.0505.37%

Factors used: league row IL. Park (home-season share, regressed): HR 105, 1B 94, 2B 127, 3B 130, K 97, BB 92 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.039.

Result: wOBA .330 → .293; ISO .202 → .166; BABIP .291 → .281. 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).

2010 A+St. Lucie Mets · 16 PAwOBA .259 → .243 (−16)K% 12.5% → 17.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.50%÷1.008×1.420——17.60%
BB% (unintentional) /PA0.00%÷1.020×0.750—×1.0120.00%
HBP% /PA0.00%—×0.930—×1.0120.00%
Singles /BIP23.08%÷1.018×0.920—×1.01221.11%
Doubles /BIP7.69%÷1.024×0.960—×1.0127.30%
Triples /BIP0.00%÷1.150×0.810—×1.0120.00%
Home runs /BIP0.00%÷0.942×0.880—×1.0120.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 88, 1B 104, 2B 105, 3B 130, K 102, BB 104 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average).

Result: wOBA .259 → .243; ISO .067 → .064; BABIP .308 → .284. 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).

2009 AAABuffalo Bisons · 190 PAwOBA .371 → .336 (−35)K% 17.4% → 20.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.37%÷1.000×1.200——20.84%
BB% (unintentional) /PA5.79%÷1.000×0.690—×1.0504.19%
HBP% /PA1.05%—×0.940—×1.0501.04%
Singles /BIP17.48%÷1.000×0.930×1.035×1.05017.66%
Doubles /BIP11.19%÷1.000×0.830×1.035×1.05010.09%
Triples /BIP1.40%÷1.000×0.970×1.035×1.0501.47%
Home runs /BIP5.59%÷1.000×0.840—×1.0504.93%

Factors used: league row IL. 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 27.2 → +5.0% on BB/HBP/hit rates (6.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.035.

Result: wOBA .371 → .336; ISO .250 → .222; BABIP .316 → .305. 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).

2008 AABinghamton Mets · 385 PAwOBA .334 → .316 (−18)K% 19.0% → 23.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.96%÷1.000×1.220——23.13%
BB% (unintentional) /PA6.49%÷1.000×0.700—×1.0504.77%
HBP% /PA0.78%—×0.850—×1.0500.70%
Singles /BIP25.09%÷1.000×0.970×1.039×1.05026.56%
Doubles /BIP6.81%÷1.000×0.860×1.039×1.0506.39%
Triples /BIP1.43%÷1.000×0.950×1.039×1.0501.49%
Home runs /BIP2.87%÷1.000×0.780—×1.0502.35%

Factors used: league row EL. 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 24.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.039.

Result: wOBA .334 → .316; ISO .145 → .128; BABIP .339 → .349. 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 — .