Melky Mesa

PosLF
B/TR/R
Born1987-01-31
Age (2027)40
No MLB projection yet. Career stats below are historical.
Overview
INTLLAST SEASON 2020
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WAR
201831INTLAguilas de Me…50.159/.245/.2950050—
201932INTLLeones del Es…122.272/.320/.38622100—
202033INTLLeones del Es…31.179/.233/.1790115—
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)
200619 ROKGCL Yankees — 159145 30723 11451 33 207268345612 138276 287 271 3 — — — — — —
200720 ROKGCL Yankees — 169153 361023 9554 53 235295386681 150344 335 299 9 — — — — — —
200922 ACharleston RiverDogs — 570497 11224720 5116811 186 225308423730 197293 299 320 48 — — — — — —
201023 A+Tampa Yankees — 509446 11621919 4412911 319 260340475815 215320 259 355 74 — — — — — —
201124 AATrenton Thunder — 436386 972449 361299 1813 251327404731 153353 308 326 70 — — — — — —
201124 A+Tampa Yankees — 1812 2100 342 10 167389250639 83250 2217 320 77 — — — — — —
201124 INTLLeones del Escogido — 5348 10330 4101 10 208283396679 187263 198 299 88 — — — — — —
201225 AAAScranton/Wilkes-Barre Yankees — 133126 29819 7430 51 230271524794 294270 325 342 65 — — — — — —
201225 AATrenton Thunder — 371332 9218114 29756 173 277344464808 187318 208 356 82 — — — — — —
201225 INTLLeones del Escogido — 6256 14512 4170 20 250300482782 232316 276 329 109 — — — — — —
201326 AAAScranton/Wilkes-Barre RailRiders — 332314 8215313 111125 132 261297452749 191361 343 327 64 — — — — — —
201326 INTLLeones del Escogido — 9487 20410 6210 12 230280299578 69299 226 261 63 — — — — — —
201427 AAABuffalo Bisons — 9386 24405 4313 10 279333500833 221380 334 367 73 — — — — — —
201427 AANew Hampshire Fisher Cats — 138129 33914 5334 12 256304434738 178315 244 327 54 — — — — — —
201427 INTLLeones del Escogido — 8581 17312 4360 11 210247346593 136349 425 263 64 — — — — — —
201528 AAABuffalo Bisons — 264246 532114 12893 11 215261358618 142316 345 272 34 — — — — — —
201528 AANew Hampshire Fisher Cats — 181174 52924 6501 21 299326443768 144400 283 340 53 — — — — — —
201528 INTLLeones del Escogido — 3932 9100 4102 10 281395312707 31409 2610 328 108 — — — — — —
201629 AAABuffalo Bisons — 10293 27710 8251 11 290353387740 97397 258 334 58 — — — — — —
201629 AANew Hampshire Fisher Cats — 172160 34715 8494 41 212267362630 150274 285 282 22 — — — — — —
201831 INTLAguilas de Mexicali — 5044 7410 4141 00 159245295540 136226 288 242 50 — — — — — —
201932 INTLLeones del Escogido — 122114 31512 8240 20 272320386706 114330 207 316 100 — — — — — —
202033 INTLLeones del Escogido — 3128 5000 270 10 179233179412 238 236 191 15 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200619 ROK MLEGCL Yankees — 159149 19412 7651 33 128172208380 81207 414 173 3 — — — — — —
200720 ROK MLEGCL Yankees — 169156 23612 6794 53 147199237436 90252 474 181 9 — — — — — —
200922 A MLECharleston RiverDogs — 570522 8918615 3222511 186 170234314548 144251 396 239 48 — — — — — —
201023 A+ MLETampa Yankees — 509462 9519616 3018411 319 206270377647 171289 366 278 74 — — — — — —
201124 AA MLETrenton Thunder — 436401 871938 241639 1813 217276339616 122338 376 271 70 — — — — — —
201124 A+ MLETampa Yankees — 1814 2100 252 10 143333214548 71239 2811 282 77 — — — — — —
201225 AAA MLEScranton/Wilkes-Barre Yankees — 133128 24618 5520 51 188218438656 250230 394 264 65 — — — — — —
201225 AA MLETrenton Thunder — 371343 8014111 20926 173 233287376663 143283 255 289 82 — — — — — —
201326 AAA MLEScranton/Wilkes-Barre RailRiders — 332317 7011311 81335 132 221252379630 158327 402 263 64 — — — — — —
201427 AAA MLEBuffalo Bisons — 9387 19304 3403 10 218269391660 172343 433 276 73 — — — — — —
201427 AA MLENew Hampshire Fisher Cats — 138131 27713 3414 12 206246344590 137273 302 248 54 — — — — — —
201528 AAA MLEBuffalo Bisons — 264250 451713 81063 11 180215292507 112284 403 219 34 — — — — — —
201528 AA MLENew Hampshire Fisher Cats — 181176 39612 4641 21 222243301544 80344 352 247 53 — — — — — —
201629 AAA MLEBuffalo Bisons — 10296 22610 5321 11 229275312587 83339 315 254 58 — — — — — —
201629 AA MLENew Hampshire Fisher Cats — 172163 27513 5624 41 166209264473 98240 363 201 22 — — — — — —
200619 ROK MLEGCL Yankees — 159149 19412 7651 33 128172208380 81205 414 173 3 — — — — — —
200619 ROK RAWGCL Yankees — 159145 30723 11451 33 207268345612 138276 287 271 3 — — — — — —
200720 ROK MLEGCL Yankees — 169156 23612 6794 53 147199237436 90276 474 181 9 — — — — — —
200720 ROK RAWGCL Yankees — 169153 361023 9554 53 235295386681 150344 335 299 9 — — — — — —
200922 A MLECharleston RiverDogs — 570522 8918615 3222511 186 170234314548 144258 396 239 48 — — — — — —
200922 A RAWCharleston RiverDogs — 570497 11224720 5116811 186 225308423730 197293 299 320 48 — — — — — —
201023 A+ MLETampa Yankees — 509462 9519616 3018411 319 206270377647 171296 366 278 74 — — — — — —
201023 A+ RAWTampa Yankees — 509446 11621919 4412911 319 260340475815 215320 259 355 74 — — — — — —
201124 AA MLE3 teams — 507464 1002349 2918812 2013 216279341620 125340 376 271 70 — — — — — —
201124 AA RAW3 teams — 507446 1092879 4314312 2013 244325399724 155339 288 323 70 — — — — — —
201225 AA MLE3 teams — 566528 11722221 281626 244 222269390659 169276 295 282 77 — — — — — —
201225 AA RAW3 teams — 566514 13531325 401356 244 263322481803 218308 247 349 77 — — — — — —
201326 AAA MLE2 teams — 426408 8814314 101715 144 216243368611 152327 402 263 64 — — — — — —
201326 AAA RAW2 teams — 426401 10219413 171335 144 254293419712 165345 314 313 64 — — — — — —
201427 AA MLE3 teams — 316301 631419 81117 33 209247352599 143298 353 259 62 — — — — — —
201427 AA RAW3 teams — 316296 7416211 131007 33 250297429727 179341 324 322 62 — — — — — —
201528 AAA MLE3 teams — 484461 932536 131846 42 202233308541 106319 383 230 42 — — — — — —
201528 AAA RAW3 teams — 484452 1143138 221496 42 252296387683 135357 315 302 42 — — — — — —
201629 AA MLE2 teams — 274259 491123 10945 52 189234282515 93284 344 221 36 — — — — — —
201629 AA RAW2 teams — 274253 611425 16745 52 241299372671 130322 276 302 36 — — — — — —
201831 INTL MLEAguilas de Mexicali — 5044 7410 4141 00 159245295540 136226 288 — — — — — — — —
201831 INTL RAWAguilas de Mexicali — 5044 7410 4141 00 159245295540 136226 288 242 50 — — — — — —
201932 INTL MLELeones del Escogido — 122114 31512 8240 20 272320386706 114330 207 — — — — — — — —
201932 INTL RAWLeones del Escogido — 122114 31512 8240 20 272320386706 114330 207 316 100 — — — — — —
202033 INTL MLELeones del Escogido — 3128 5000 270 10 179233179412 238 236 — — — — — — — —
202033 INTL RAWLeones del Escogido — 3128 5000 270 10 179233179412 238 236 191 15 — — — — — —
200619 ROK MLEGCL Yankees — 159150 19412 7651 33 127172207379 80207 414 173 3 — — — — — —
200720 ROK MLEGCL Yankees — 169157 23612 6794 53 146199236434 89252 474 181 9 — — — — — —
200922 A MLECharleston RiverDogs — 570522 8918615 3222511 186 170234314548 144251 396 239 48 — — — — — —
201023 A+ MLETampa Yankees — 509463 9519616 3018411 319 205270376646 171289 366 278 74 — — — — — —
201124 AA MLE3 teams — 507461 1002349 2918812 2013 217279343622 126334 376 271 70 — — — — — —
201225 AA MLE3 teams — 566527 11722221 281626 244 222269391660 169269 295 282 77 — — — — — —
201326 AAA MLE2 teams — 426408 8814314 101715 144 216243368611 152327 402 263 64 — — — — — —
201427 AA MLE3 teams — 316298 631419 81117 33 211247356603 144301 353 259 62 — — — — — —
201528 AAA MLE3 teams — 484462 932536 131846 42 201233307541 106308 383 230 42 — — — — — —
201629 AA MLE2 teams — 274257 491123 10945 52 191234284518 93277 344 221 36 — — — — — —
▸ Career Totals
Career— MLE — 41833896 7791653199 187150869 13049 200249334584 134294 364 239 48 -260 +6 +1 -37 +91 -20.3
/ 162G— MLE — 650605 12126515 2923411 208 200249334583 134295 364 239 48 -40 +1 +0 -6 +14 -3.2

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.

2016 AANew Hampshire Fisher Cats · 172 PAwOBA .274 → .201 (−73)K% 28.5% → 35.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.49%÷0.969×1.220——35.87%
BB% (unintentional) /PA4.65%÷1.079×0.700—×0.9582.89%
HBP% /PA2.33%—×0.850—×0.9581.89%
Singles /BIP18.92%÷0.995×0.970×0.987×0.95817.46%
Doubles /BIP6.31%÷1.000×0.860×0.987×0.9585.13%
Triples /BIP0.90%÷1.031×0.950×0.987×0.9580.78%
Home runs /BIP4.50%÷1.292×0.780—×0.9582.60%

Factors used: league row EL. Park (home-season share, regressed): HR 158, 1B 99, 2B 100, 3B 106, K 94, BB 116 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.

Result: wOBA .274 → .201; ISO .150 → .093; BABIP .274 → .240. 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 AAABuffalo Bisons · 102 PAwOBA .326 → .254 (−72)K% 24.5% → 31.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.51%÷0.937×1.200——31.38%
BB% (unintentional) /PA7.84%÷1.034×0.690—×0.9825.14%
HBP% /PA0.98%—×0.940—×0.9820.90%
Singles /BIP27.94%÷1.008×0.930×0.951×0.98224.07%
Doubles /BIP10.29%÷0.917×0.830×0.951×0.9828.70%
Triples /BIP1.47%÷1.150×0.970×0.951×0.9821.16%
Home runs /BIP0.00%÷1.164×0.840—×0.9820.00%

Factors used: league row IL. Park (home-season share, regressed): HR 133, 1B 102, 2B 83, 3B 130, K 87, BB 107 — 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 ×0.951.

Result: wOBA .326 → .254; ISO .097 → .076; BABIP .397 → .339. 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 AAABuffalo Bisons · 264 PAwOBA .267 → .219 (−48)K% 33.7% → 40.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA33.71%÷1.008×1.200——40.14%
BB% (unintentional) /PA4.55%÷1.040×0.690—×0.9922.99%
HBP% /PA1.14%—×0.940—×0.9921.06%
Singles /BIP17.20%÷0.981×0.930×0.989×0.99215.99%
Doubles /BIP13.38%÷0.944×0.830×0.989×0.99211.54%
Triples /BIP0.64%÷0.900×0.970×0.989×0.9920.67%
Home runs /BIP2.55%÷0.966×0.840—×0.9922.20%

Factors used: league row IL. Park (home-season share, regressed): HR 93, 1B 96, 2B 89, 3B 80, K 102, BB 108 — 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 ×0.989.

Result: wOBA .267 → .219; ISO .142 → .117; BABIP .316 → .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).

2015 AANew Hampshire Fisher Cats · 181 PAwOBA .330 → .247 (−83)K% 27.6% → 35.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.62%÷0.960×1.220——35.11%
BB% (unintentional) /PA3.31%÷1.026×0.700—×0.9682.19%
HBP% /PA0.55%—×0.850—×0.9680.45%
Singles /BIP29.84%÷0.996×0.970×0.959×0.96826.96%
Doubles /BIP7.26%÷1.064×0.860×0.959×0.9685.45%
Triples /BIP1.61%÷1.150×0.950×0.959×0.9681.24%
Home runs /BIP3.23%÷1.130×0.780—×0.9682.16%

Factors used: league row EL. Park (home-season share, regressed): HR 126, 1B 99, 2B 113, 3B 130, K 92, BB 105 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.959.

Result: wOBA .330 → .247; ISO .144 → .093; BABIP .400 → .344. 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 AANew Hampshire Fisher Cats · 138 PAwOBA .318 → .248 (−70)K% 23.9% → 29.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.91%÷0.976×1.220——29.88%
BB% (unintentional) /PA3.62%÷1.062×0.700—×0.9782.33%
HBP% /PA2.90%—×0.850—×0.9782.41%
Singles /BIP19.79%÷1.012×0.970×0.950×0.97817.63%
Doubles /BIP9.38%÷0.952×0.860×0.950×0.9787.87%
Triples /BIP1.04%÷0.921×0.950×0.950×0.9781.00%
Home runs /BIP4.17%÷1.066×0.780—×0.9782.98%

Factors used: league row EL. Park (home-season share, regressed): HR 113, 1B 102, 2B 90, 3B 84, K 95, BB 112 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .318 → .248; ISO .178 → .132; BABIP .315 → .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).

2014 AAABuffalo Bisons · 93 PAwOBA .356 → .276 (−80)K% 33.3% → 42.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA33.33%÷0.942×1.200——42.47%
BB% (unintentional) /PA4.30%÷1.041×0.690—×1.0032.86%
HBP% /PA3.23%—×0.940—×1.0033.04%
Singles /BIP27.27%÷0.968×0.930×0.978×1.00325.70%
Doubles /BIP7.27%÷0.985×0.830×0.978×1.0036.01%
Triples /BIP0.00%÷1.150×0.970×0.978×1.0030.00%
Home runs /BIP9.09%÷1.006×0.840—×1.0037.62%

Factors used: league row IL. Park (home-season share, regressed): HR 101, 1B 94, 2B 97, 3B 130, K 88, BB 108 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.978.

Result: wOBA .356 → .276; ISO .221 → .161; BABIP .380 → .343. 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 · 332 PAwOBA .320 → .263 (−56)K% 33.7% → 40.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA33.73%÷1.010×1.200——40.07%
BB% (unintentional) /PA3.31%÷1.015×0.690—×1.0182.29%
HBP% /PA1.51%—×0.940—×1.0181.44%
Singles /BIP25.25%÷0.971×0.930×0.970×1.01823.88%
Doubles /BIP7.43%÷1.026×0.830×0.970×1.0185.94%
Triples /BIP1.49%÷1.000×0.970×0.970×1.0181.42%
Home runs /BIP6.44%÷0.976×0.840—×1.0185.64%

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 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.970.

Result: wOBA .320 → .263; ISO .191 → .153; BABIP .361 → .327. 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 AATrenton Thunder · 371 PAwOBA .347 → .289 (−58)K% 20.2% → 24.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.22%÷0.990×1.220——24.91%
BB% (unintentional) /PA7.55%÷0.955×0.700—×0.9985.52%
HBP% /PA1.62%—×0.850—×0.9981.37%
Singles /BIP22.96%÷0.980×0.970×0.950×0.99821.54%
Doubles /BIP7.00%÷1.058×0.860×0.950×0.9985.40%
Triples /BIP0.39%÷0.900×0.950×0.950×0.9980.39%
Home runs /BIP5.45%÷0.975×0.780—×0.9984.35%

Factors used: league row EL. Park (home-season share, regressed): HR 95, 1B 96, 2B 112, 3B 80, K 98, BB 91 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .347 → .289; ISO .187 → .146; BABIP .318 → .283. 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 — .