Luke Voit

Pos1B
B/TR/R
Born1991-02-13
Age (2027)36
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2023
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202130AAA/AA2 orgs53.375/.434/.83360144—.285/.340/.551
202130MLBNYY241.239/.328/.4371101130.0
202231MLBWSH568.226/.311/.402221990.0
202332AAANYM200.263/.422/.615150101—.195/.317/.426
202332MLBMIL74.221/.284/.2650263-0.7
202433No MLB games played
202534No MLB games played
202635No MLB games played
Last 3 seasons WAR -0.7
Contract
No contract data on file.
Skills · percentileStatcast 2021-2023
Barrel%90
xwOBA70
Avg EV60
Speed10

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)
201423 A+Palm Beach Cardinals — 390351 972159 32794 11 276344442785 165332 208 347 83 — — — — — —
201524 A+Palm Beach Cardinals — 540462 12618511 631045 20 273365405770 132323 1912 343 74 — — — — — —
201625 AASpringfield Cardinals — 546482 14320519 52838 12 297375477852 180323 1510 376 98 — — — — — —
201625 INTLTiburones de Aguadilla — 5349 9300 3111 10 184245245490 61237 216 228 41 — — — — — —
201726 MLBSt. Louis Cardinals — 124114 28904 7313 00 246306430736 184304 256 327 109 +1 +0 -1 -8 +3 -0.5
201726 AAAMemphis Redbirds — 307269 8823113 29538 11 327408565974 238368 179 425 110 — — — — — —
201827 MLBNew York Yankees — 161143 465015 17431 00 3223986711.069 350365 2711 458 188 +17 +0 -6 -8 +3 0.7
201827 AAAScranton/Wilkes-Barre RailRiders — 303263 7918210 34565 01 300391498889 198348 1811 392 101 — — — — — —
201928 MLBNew York Yankees — 510429 11321121 711429 00 263379464843 200345 2814 376 136 +22 +0 -11 -9 +11 1.3
201928 AAAScranton/Wilkes-Barre RailRiders — 1917 8202 220 00 4715269411.467 471462 1111 618 220 — — — — — —
202029 MLBNew York Yankees — 234213 595022 17543 00 277339610949 333268 237 407 153 +15 +0 -5 -4 +5 1.1
202130 MLBNew York Yankees — 241213 517111 21747 00 239328437764 197312 319 341 113 +4 +0 -3 -5 +5 0.0
202130 AAAScranton/Wilkes-Barre RailRiders — 3632 11304 381 00 3444178121.229 469350 228 517 132 — — — — — —
202130 AASomerset Patriots — 1716 7102 150 00 4384718751.346 438556 296 574 170 — — — — — —
202231 MLBWashington Nationals — 568500 11322022 551797 11 226311402713 176298 3210 317 99 -1 -0 -1 -10 +12 0.0
202231 AAAEl Paso Chihuahuas — 2018 0000 2120 00 100100 6010 70 -83 — — — — — —
202332 MLBMilwaukee Brewers — 7468 15300 4272 20 221284265548 44366 365 256 63 -3 +0 -1 -5 +2 -0.7
202332 AAASyracuse Mets — 200156 418115 39534 00 2634226151.037 353292 2620 443 101 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 19121680 42572295 19255032 31 253341468809 215316 2910 357 128 +63 +0 -27 -50 +41 2.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201423 A+ MLEPalm Beach Cardinals — 390358 832049 251124 11 232289385675 154305 296 291 83 — — — — — —
201524 A+ MLEPalm Beach Cardinals — 540476 1031539 501515 20 216298317615 101282 289 277 74 — — — — — —
201625 AA MLESpringfield Cardinals — 546499 13017513 35998 12 261319393712 132297 186 313 98 — — — — — —
201726 MLB MLESt. Louis Cardinals — 124114 28904 7313 00 246306430736 184304 256 329 109 +1 +0 -1 -8 +3 -0.5
201726 AAA MLEMemphis Redbirds — 307278 7117110 20688 11 255324432755 176304 227 331 110 — — — — — —
201827 MLB MLENew York Yankees — 161143 455014 17431 00 3153916431.035 329365 2711 446 188 +17 +0 -6 -8 +3 0.7
201827 AAA MLEScranton/Wilkes-Barre RailRiders — 303275 701528 22675 01 255321411732 156304 227 318 101 — — — — — —
201928 MLB MLENew York Yankees — 510431 11221120 691429 00 260373452826 193345 2814 369 136 +22 +0 -11 -9 +11 1.3
201928 AAA MLEScranton/Wilkes-Barre RailRiders — 1918 8202 120 00 4444748891.363 444390 115 493 220 — — — — — —
202029 MLB MLENew York Yankees — 234213 585021 17543 00 272335592926 319268 237 395 153 +15 +0 -5 -4 +5 1.1
202130 MLB MLENew York Yankees — 241213 507110 21747 00 235324418741 183312 319 336 113 +4 +0 -3 -5 +5 0.0
202130 AAA MLEScranton/Wilkes-Barre RailRiders — 3633 9302 2101 00 273333545879 273294 286 364 132 — — — — — —
202130 AA MLESomerset Patriots — 1716 5101 160 00 312353562915 250464 356 419 170 — — — — — —
202231 MLB MLEWashington Nationals — 568501 11322022 541797 11 226310401711 176298 3210 315 99 -1 -0 -1 -10 +12 0.0
202231 AAA MLEEl Paso Chihuahuas — 2019 0000 1150 00 5050 755 46 -83 — — — — — —
202332 MLB MLEMilwaukee Brewers — 7468 15300 4272 20 221284265548 44366 365 261 63 -3 +0 -1 -5 +2 -0.7
202332 AAA MLESyracuse Mets — 200169 337110 26664 00 195317426743 231232 3313 318 101 — — — — — —
201423 A+ MLEPalm Beach Cardinals — 390358 832049 251124 11 232289385675 154310 296 291 83 — — — — — —
201423 A+ RAWPalm Beach Cardinals — 390351 972159 32794 11 276344442785 165332 208 347 83 — — — — — —
201524 A+ MLEPalm Beach Cardinals — 540476 1031539 501515 20 216298317615 101289 289 277 74 — — — — — —
201524 A+ RAWPalm Beach Cardinals — 540462 12618511 631045 20 273365405770 132323 1912 343 74 — — — — — —
201625 AA MLE2 teams — 599547 14419615 391099 22 263323402725 139302 187 313 98 — — — — — —
201625 AA RAW2 teams — 599531 15223519 55949 22 286363456819 169315 169 363 98 — — — — — —
201726 AAA MLE2 teams — 431392 10026115 279911 11 255321441762 186305 236 330 110 — — — — — —
201726 AAA RAW2 teams — 431383 11632117 368411 11 303379525904 222350 198 397 110 — — — — — —
201827 AAA MLE2 teams — 464418 11520222 391106 01 275346490836 215324 248 363 131 — — — — — —
201827 AAA RAW2 teams — 464406 12523225 51996 01 308393559952 251353 2111 415 131 — — — — — —
201928 MLB MLE2 teams — 529449 11923121 701449 00 265375461836 196344 2713 373 139 +24 +0 -11 -9 +11 1.6
201928 MLB RAW2 teams — 529446 12123123 731449 00 271384482867 211350 2714 385 139 +24 +0 -11 -9 +11 1.6
202029 MLB MLENew York Yankees — 234213 585021 17543 00 272335592926 319266 237 395 153 +15 +0 -5 -4 +5 1.1
202029 MLB RAWNew York Yankees — 234213 595022 17543 00 277339610949 333268 237 407 153 +15 +0 -5 -4 +5 1.1
202130 MLB MLE3 teams — 294262 6511114 24908 00 248330458788 210323 318 344 119 +7 +0 -3 -5 +6 0.4
202130 MLB RAW3 teams — 294261 6911117 25878 00 264347510857 245331 309 376 119 +7 +0 -3 -5 +6 0.4
202231 MLB MLE2 teams — 588520 11322022 551947 11 217301387687 169294 339 306 93 -5 -0 -1 -10 +13 -0.4
202231 MLB RAW2 teams — 588518 11322022 571917 11 218304388692 170293 3210 308 93 -5 -0 -1 -10 +13 -0.4
202332 AAA MLE2 teams — 274237 4810110 30936 20 203308380687 177281 3411 303 91 — — — — — —
202332 AAA RAW2 teams — 274224 5611115 43806 20 250385509894 259315 2916 393 91 — — — — — —
201423 A+ MLEPalm Beach Cardinals — 390358 832049 251124 11 232289385675 154305 296 291 83 — — — — — —
201524 A+ MLEPalm Beach Cardinals — 540480 1031539 501515 20 215298315612 100282 289 277 74 — — — — — —
201625 AA MLE2 teams — 599546 14419615 391099 22 264323403726 139297 187 313 98 — — — — — —
201726 AAA MLE2 teams — 431390 10026115 279911 11 256321444765 187304 236 330 110 — — — — — —
201827 AAA MLE2 teams — 464416 11520222 391106 01 276346493838 216325 248 363 131 — — — — — —
201928 MLB MLE2 teams — 529445 11923121 701449 00 267375465840 198346 2713 373 139 — — — — — —
202029 MLB MLENew York Yankees — 234212 585021 17543 00 274335594929 321268 237 395 153 — — — — — —
202130 MLB MLE3 teams — 294260 6511114 24908 00 250330462791 212319 318 344 119 — — — — — —
202231 MLB MLE2 teams — 588521 11322022 551947 11 217301386686 169288 339 306 93 — — — — — —
202332 AAA MLE2 teams — 274236 4810110 30936 20 203308381689 178268 3411 303 91 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 19121680 42572295 19255032 31 253341468809 215316 2910 357 107 +63 +0 -27 -50 +41 2.8
/ 162G— A+C — 650571 14424132 6518711 10 252340466806 214315 2910 357 107 +21 +0 -9 -17 +14 0.9
Career— MLE — 43433872 94817119158 376115668 96 245323421744 176306 279 326 107 +63 +0 -27 -50 +41 2.8
/ 162G— MLE — 650580 14326324 5617310 11 247324426749 179307 279 326 107 +21 +0 -9 -17 +14 0.9

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.

2023 AAASyracuse Mets · 200 PAwOBA .434 → .318 (−116)K% 26.5% → 33.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.50%÷0.961×1.200——33.10%
BB% (unintentional) /PA19.50%÷0.967×0.690—×0.95213.24%
HBP% /PA2.00%—×0.940—×0.9521.79%
Singles /BIP16.50%÷0.997×0.930×0.961×0.95214.08%
Doubles /BIP7.77%÷0.933×0.830×0.961×0.9526.32%
Triples /BIP0.97%÷1.150×0.970×0.961×0.9520.75%
Home runs /BIP14.56%÷1.003×0.700—×0.9529.68%

Factors used: league row International League. Park (home-season share, regressed): HR 101, 1B 99, 2B 87, 3B 130, K 92, BB 93 — 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 ×0.961.

Result: wOBA .434 → .318; ISO .353 → .245; BABIP .292 → .232. 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).

2022 AAAEl Paso Chihuahuas · 20 PAwOBA .069 → .046 (−23)K% 60.0% → 75.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA60.00%÷0.959×1.200——75.12%
BB% (unintentional) /PA10.00%÷0.990×0.690—×0.9626.70%
HBP% /PA0.00%—×0.940—×0.9620.00%
Singles /BIP0.00%÷1.047×0.930—×0.9620.00%
Doubles /BIP0.00%÷1.133×0.830—×0.9620.00%
Triples /BIP0.00%÷1.002×0.970—×0.9620.00%
Home runs /BIP0.00%÷1.138×0.700—×0.9620.00%

Factors used: league row International League. Park (home-season share, regressed): HR 128, 1B 109, 2B 127, 3B 100, K 92, BB 98 — 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).

Result: wOBA .069 → .046; ISO .000 → .000; BABIP .000 → .000. 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 AAAScranton/Wilkes-Barre RailRiders · 36 PAwOBA .502 → .364 (−138)K% 22.2% → 26.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.22%÷0.993×1.200——26.85%
BB% (unintentional) /PA8.33%÷0.973×0.690—×0.9725.74%
HBP% /PA2.78%—×0.940—×0.9722.54%
Singles /BIP16.67%÷0.974×0.930—×0.97215.47%
Doubles /BIP12.50%÷0.915×0.830—×0.97211.02%
Triples /BIP0.00%÷1.150×0.920—×0.9720.00%
Home runs /BIP16.67%÷1.149×0.700—×0.9729.87%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 130, 1B 95, 2B 83, 3B 130, K 99, BB 95 — 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).

Result: wOBA .502 → .364; ISO .469 → .297; BABIP .350 → .294. 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 AASomerset Patriots · 17 PAwOBA .557 → .419 (−138)K% 29.4% → 35.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA29.41%÷1.024×1.220——35.06%
BB% (unintentional) /PA5.88%÷1.036×0.690—×0.9483.71%
HBP% /PA0.00%—×0.850—×0.9480.00%
Singles /BIP36.36%÷1.008×0.940—×0.94832.15%
Doubles /BIP9.09%÷0.905×0.870—×0.9488.29%
Triples /BIP0.00%÷0.900×0.920—×0.9480.00%
Home runs /BIP18.18%÷1.053×0.780—×0.94812.76%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 111, 1B 102, 2B 81, 3B 80, K 105, BB 107 — applied at half strength. Age: age 30 vs a level average of 24.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average).

Result: wOBA .557 → .419; ISO .438 → .303; BABIP .556 → .464. 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 AAAScranton/Wilkes-Barre RailRiders · 19 PAwOBA .600 → .493 (−107)K% 10.5% → 12.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA10.53%÷1.007×1.200——12.55%
BB% (unintentional) /PA10.53%÷1.066×0.690—×0.9926.76%
HBP% /PA0.00%—×0.940—×0.9920.00%
Singles /BIP26.67%÷1.019×0.930—×0.99224.14%
Doubles /BIP13.33%÷1.009×0.830—×0.99210.88%
Triples /BIP0.00%÷0.938×0.970—×0.9920.00%
Home runs /BIP13.33%÷1.087×0.840—×0.99210.22%

Factors used: league row IL. Park (home-season share, regressed): HR 117, 1B 104, 2B 102, 3B 88, K 101, BB 113 — 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).

Result: wOBA .600 → .493; ISO .471 → .375; BABIP .462 → .390. 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 AAAScranton/Wilkes-Barre RailRiders · 303 PAwOBA .382 → .318 (−65)K% 18.5% → 22.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.48%÷1.002×1.200——22.14%
BB% (unintentional) /PA10.89%÷1.034×0.690—×1.0037.29%
HBP% /PA1.65%—×0.940—×1.0031.56%
Singles /BIP23.67%÷1.032×0.930×0.997×1.00321.35%
Doubles /BIP8.70%÷1.004×0.830×0.997×1.0037.19%
Triples /BIP0.97%÷1.130×0.970×0.997×1.0030.83%
Home runs /BIP4.83%÷1.046×0.840—×1.0033.89%

Factors used: league row IL. Park (home-season share, regressed): HR 109, 1B 106, 2B 101, 3B 126, K 100, BB 107 — 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 ×0.997.

Result: wOBA .382 → .318; ISO .198 → .163; BABIP .348 → .304. 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 AAAMemphis Redbirds · 307 PAwOBA .414 → .331 (−83)K% 17.3% → 22.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.26%÷1.010×1.290——22.06%
BB% (unintentional) /PA9.12%÷0.997×0.710—×1.0186.61%
HBP% /PA2.61%—×0.980—×1.0182.60%
Singles /BIP23.61%÷1.001×0.900×0.950×1.01820.53%
Doubles /BIP10.65%÷1.021×0.810×0.950×1.0188.17%
Triples /BIP0.46%÷1.135×0.810×0.950×1.0180.32%
Home runs /BIP6.02%÷0.980×0.780—×1.0184.88%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 100, 2B 104, 3B 127, K 102, BB 99 — 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 ×0.950.

Result: wOBA .414 → .331; ISO .238 → .184; BABIP .368 → .304. 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 AASpringfield Cardinals · 546 PAwOBA .368 → .313 (−54)K% 15.2% → 18.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.20%÷1.019×1.220——18.19%
BB% (unintentional) /PA9.34%÷0.999×0.700—×0.9986.53%
HBP% /PA1.47%—×0.870—×0.9981.27%
Singles /BIP24.81%÷0.966×0.920×0.997×0.99823.51%
Doubles /BIP5.01%÷0.986×0.840×0.997×0.9984.25%
Triples /BIP1.25%÷0.900×0.940×0.997×0.9981.30%
Home runs /BIP4.76%÷1.155×0.800—×0.9983.29%

Factors used: league row TL. Park (home-season share, regressed): HR 131, 1B 93, 2B 97, 3B 80, K 104, BB 100 — 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 ×0.997.

Result: wOBA .368 → .313; ISO .180 → .140; BABIP .323 → .297. 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).