Khalil Lee

PosCF
B/TL/L
Born1998-06-26
Age (2027)29
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2023
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202123AAANYM388.274/.452/.500148124—.237/.385/.410
202123MLBNYM18.056/.056/.11100-63-0.9
202224AAA/ANYM453.214/.330/.370101558—.175/.270/.283
202325AAANYM77.185/.303/.3231253—.176/.263/.309
202426No MLB games played
202527No MLB games played
202628No MLB games played
Last 3 seasons WAR -0.9
Contract
No contract data on file.
Skills · percentileMiLB Statcast 2023 AAA
Max EV83
BB%64
Speed61
K%51
Chase%36
Z-Con%35

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)
201618 ROKAZL Royals — 222182 49966 33576 84 269398484882 214358 2615 390 68 — — — — — —
201719 ALexington Legends — 532451 10724617 6517110 2018 237346430776 193338 3212 344 68 — — — — — —
201820 AANorthwest Arkansas Naturals — 118102 25502 11282 22 245330353683 108319 249 305 60 — — — — — —
201820 A+Wilmington Blue Rocks — 301244 661344 48757 143 270405406810 135371 2516 368 90 — — — — — —
201820 INTLSurprise Saguaros — 9283 13301 8271 30 157239229468 72218 299 222 36 — — — — — —
201921 AANorthwest Arkansas Naturals — 546470 1242138 651549 5312 264364372736 109374 2812 336 63 — — — — — —
201921 INTLIndios de Mayaguez — 1918 4001 051 10 222263389652 167250 260 291 83 — — — — — —
202022 INTLIndios de Mayaguez — 5146 9401 5160 23 196275348622 152276 3110 281 76 — — — — — —
202123 MLBNew York Mets — 1818 1100 0130 00 5656111167 56200 720 71 -63 -3 +0 -1 -4 +0 -0.9
202123 AAASyracuse Mets — 388292 8020214 7111524 810 274452500952 226402 3018 425 124 — — — — — —
202224 AAASyracuse Mets — 418355 7525010 4713914 143 211326366692 155314 3311 316 58 — — — — — —
202224 ASt. Lucie Mets — 3529 7310 3113 13 241371414785 172389 319 357 55 — — — — — —
202325 AAASyracuse Mets — 7765 12601 10171 20 185303323626 138229 2213 286 53 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 1818 1100 0130 00 5656111167 56200 720 71 -66 -4 +0 -1 -4 +0 -0.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201618 ROK MLEAZL Royals — 222194 35644 21826 84 180281314595 134284 379 268 68 — — — — — —
201719 A MLELexington Legends — 532473 9319512 4323110 2018 197278334612 137337 438 268 68 — — — — — —
201820 AA MLENorthwest Arkansas Naturals — 118105 23402 8352 22 219287314601 95299 307 257 60 — — — — — —
201820 A+ MLEWilmington Blue Rocks — 301263 611135 291057 143 232324354678 122360 3510 301 90 — — — — — —
201921 AA MLENorthwest Arkansas Naturals — 546487 1001727 481959 5312 205289292580 86321 369 262 63 — — — — — —
202123 MLB MLENew York Mets — 1818 1100 0130 00 5656111167 56200 720 76 -63 -3 +0 -1 -4 +0 -0.9
202123 AAA MLESyracuse Mets — 388312 7420210 5114324 810 237385410795 173393 3713 351 124 — — — — — —
202224 AAA MLESyracuse Mets — 418370 652106 3317314 143 176269281550 105309 418 254 58 — — — — — —
202224 A MLESt. Lucie Mets — 3530 5210 2163 13 167286300586 133334 466 250 55 — — — — — —
202325 AAA MLESyracuse Mets — 7768 12601 7211 20 176263309572 132225 279 247 53 — — — — — —
201618 ROK MLEAZL Royals — 222194 35644 21826 84 180281314595 134284 379 268 68 — — — — — —
201618 ROK RAWAZL Royals — 222182 49966 33576 84 269398484882 214358 2615 390 68 — — — — — —
201719 A MLELexington Legends — 532473 9319512 4323110 2018 197278334612 137348 438 268 68 — — — — — —
201719 A RAWLexington Legends — 532451 10724617 6517110 2018 237346430776 193338 3212 344 68 — — — — — —
201820 A+ MLE3 teams — 511451 1031848 4517110 195 228312339651 111347 339 289 81 — — — — — —
201820 A+ RAW3 teams — 511429 1042147 6713010 195 242358359717 117330 2513 327 81 — — — — — —
201921 AA MLE2 teams — 565504 1031737 4920210 5412 204288292579 87323 369 262 63 — — — — — —
201921 AA RAW2 teams — 565488 1282139 6515910 5412 262361373734 111370 2812 335 63 — — — — — —
202022 INTL MLEIndios de Mayaguez — 5146 9401 5160 23 196275348622 152276 3110 — — — — — — — —
202022 INTL RAWIndios de Mayaguez — 5146 9401 5160 23 196275348622 152276 3110 281 76 — — — — — —
202123 AAA MLE2 teams — 406330 7521210 5115624 810 227370394764 167394 3813 339 115 — — — — — —
202123 AAA RAW2 teams — 406310 8121214 7112824 810 261435477912 216396 3217 410 115 — — — — — —
202224 AAA MLE2 teams — 453400 702316 3518917 156 175270282552 107311 428 254 58 — — — — — —
202224 AAA RAW2 teams — 453384 8228110 5015017 156 214330370699 156320 3311 319 58 — — — — — —
202325 AAA MLESyracuse Mets — 7768 12601 7211 20 176263309572 132234 279 247 53 — — — — — —
202325 AAA RAWSyracuse Mets — 7765 12601 10171 20 185303323626 138229 2213 286 53 — — — — — —
201618 ROK MLEAZL Royals — 222193 35644 21826 84 181281316597 135284 379 268 68 — — — — — —
201719 A MLELexington Legends — 532474 9319512 4323110 2018 196278333611 137337 438 268 68 — — — — — —
201820 A+ MLE3 teams — 511451 1031848 4517110 195 228312339651 111343 339 289 81 — — — — — —
201921 AA MLE2 teams — 565501 1031737 4920210 5412 206288293581 88321 369 262 63 — — — — — —
202123 AAA MLE2 teams — 406328 7521210 5115624 810 229370396767 168384 3813 339 115 — — — — — —
202224 AAA MLE2 teams — 453398 702316 3518917 156 176270284554 108311 428 254 58 — — — — — —
202325 AAA MLESyracuse Mets — 7769 12601 7211 20 174263304568 130225 279 247 53 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 1818 1100 0130 00 5656111167 56200 720 71 71 -4 +0 -1 -4 +0 -0.9
/ 162G— A+C — 650650 363600 04690 00 5555111166 55199 720 71 71 -128 +0 -38 -157 +14 -31.6
Career— MLE — 28172466 5001141949 256106878 12858 203298324622 121332 389 273 71 -4 +0 -1 -4 +0 -0.9
/ 162G— MLE — 650569 11426411 5924618 3013 200296318614 118327 389 273 71 -128 +0 -38 -157 +14 -31.6

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 · 77 PAwOBA .283 → .247 (−36)K% 22.1% → 27.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.08%÷0.961×1.200——27.58%
BB% (unintentional) /PA12.99%÷0.967×0.690—×1.0339.57%
HBP% /PA1.30%—×0.940—×1.0331.26%
Singles /BIP10.42%÷0.997×0.930×1.050×1.03310.54%
Doubles /BIP12.50%÷0.933×0.830×1.050×1.03312.06%
Triples /BIP0.00%÷1.150×0.970×1.050×1.0330.00%
Home runs /BIP2.08%÷1.003×0.700—×1.0331.50%

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 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 ×1.050.

Result: wOBA .283 → .247; ISO .138 → .121; BABIP .229 → .225. 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 AAASyracuse Mets · 418 PAwOBA .309 → .254 (−55)K% 33.3% → 41.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA33.25%÷0.961×1.200——41.52%
BB% (unintentional) /PA11.24%÷1.019×0.690—×1.0487.98%
HBP% /PA3.35%—×0.940—×1.0483.30%
Singles /BIP18.52%÷0.953×0.930×1.018×1.04819.27%
Doubles /BIP11.57%÷0.951×0.830×1.018×1.04810.77%
Triples /BIP0.00%÷1.000×0.970×1.018×1.0480.00%
Home runs /BIP4.63%÷1.033×0.700—×1.0483.29%

Factors used: league row International League. Park (home-season share, regressed): HR 107, 1B 91, 2B 90, 3B 100, K 92, BB 104 — 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 ×1.018.

Result: wOBA .309 → .254; ISO .155 → .115; BABIP .314 → .309. 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 ASt. Lucie Mets · 35 PAwOBA .348 → .250 (−98)K% 31.4% → 44.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA31.43%÷0.959×1.360——44.59%
BB% (unintentional) /PA8.57%÷1.081×0.690—×0.9805.36%
HBP% /PA8.57%—×0.780—×0.9806.55%
Singles /BIP16.67%÷1.052×0.920—×0.98014.29%
Doubles /BIP16.67%÷0.999×0.830—×0.98013.57%
Triples /BIP5.56%÷0.900×0.910—×0.9805.50%
Home runs /BIP0.00%÷0.949×0.800—×0.9800.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 110, 2B 100, 3B 80, K 92, BB 116 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average).

Result: wOBA .348 → .250; ISO .172 → .129; BABIP .389 → .334. 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 AAASyracuse Mets · 388 PAwOBA .416 → .351 (−65)K% 29.6% → 36.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA29.64%÷0.966×1.200——36.82%
BB% (unintentional) /PA18.30%÷1.006×0.690—×1.05013.17%
HBP% /PA6.19%—×0.940—×1.0506.11%
Singles /BIP24.86%÷1.032×0.930×1.050×1.05024.69%
Doubles /BIP11.30%÷0.897×0.830×1.050×1.05011.53%
Triples /BIP1.13%÷0.986×0.920×1.050×1.0501.16%
Home runs /BIP7.91%÷1.039×0.700—×1.0505.59%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 106, 2B 79, 3B 97, K 93, BB 101 — 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 ×1.050.

Result: wOBA .416 → .351; ISO .226 → .179; BABIP .402 → .393. 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 AANorthwest Arkansas Naturals · 546 PAwOBA .329 → .262 (−68)K% 28.2% → 35.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.21%÷0.962×1.220——35.76%
BB% (unintentional) /PA11.90%÷1.001×0.700—×1.0508.74%
HBP% /PA1.65%—×0.870—×1.0501.51%
Singles /BIP29.11%÷1.083×0.920×0.961×1.05024.97%
Doubles /BIP6.65%÷0.986×0.840×0.961×1.0505.71%
Triples /BIP0.95%÷1.091×0.940×0.961×1.0500.83%
Home runs /BIP2.53%÷0.901×0.800—×1.0502.36%

Factors used: league row TL. Park (home-season share, regressed): HR 80, 1B 117, 2B 97, 3B 118, K 92, BB 100 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.961.

Result: wOBA .329 → .262; ISO .109 → .091; BABIP .374 → .321. 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+Wilmington Blue Rocks · 301 PAwOBA .362 → .301 (−61)K% 24.9% → 35.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.92%÷1.010×1.420——35.03%
BB% (unintentional) /PA15.95%÷1.077×0.630—×1.0429.72%
HBP% /PA2.33%—×0.860—×1.0422.08%
Singles /BIP26.63%÷1.021×0.940×1.034×1.04226.42%
Doubles /BIP7.69%÷1.005×0.830×1.034×1.0426.85%
Triples /BIP2.37%÷0.965×0.800×1.034×1.0422.11%
Home runs /BIP2.37%÷0.773×0.900—×1.0422.87%

Factors used: league row CAR. Park (home-season share, regressed): HR 55, 1B 104, 2B 101, 3B 93, K 102, BB 115 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.034.

Result: wOBA .362 → .301; ISO .135 → .129; BABIP .371 → .360. 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 AANorthwest Arkansas Naturals · 118 PAwOBA .298 → .257 (−40)K% 23.7% → 29.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.73%÷0.979×1.220——29.56%
BB% (unintentional) /PA9.32%÷1.049×0.700—×1.0506.53%
HBP% /PA1.69%—×0.870—×1.0501.55%
Singles /BIP24.32%÷1.046×0.920×1.050×1.05023.58%
Doubles /BIP6.76%÷1.113×0.840×1.050×1.0505.62%
Triples /BIP0.00%÷0.956×0.940×1.050×1.0500.00%
Home runs /BIP2.70%÷1.008×0.800—×1.0502.25%

Factors used: league row TL. Park (home-season share, regressed): HR 102, 1B 109, 2B 123, 3B 91, K 96, BB 110 — 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 ×1.050.

Result: wOBA .298 → .257; ISO .108 → .089; BABIP .319 → .299. 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 ALexington Legends · 532 PAwOBA .337 → .268 (−69)K% 32.1% → 43.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA32.14%÷0.991×1.340——43.47%
BB% (unintentional) /PA12.22%÷1.053×0.660—×1.0458.00%
HBP% /PA1.88%—×0.770—×1.0451.51%
Singles /BIP21.43%÷0.936×0.920×1.036×1.04522.79%
Doubles /BIP8.57%÷0.982×0.820×1.036×1.0457.74%
Triples /BIP2.14%÷1.125×0.940×1.036×1.0451.94%
Home runs /BIP6.07%÷1.062×0.820—×1.0454.90%

Factors used: league row SAL. Park (home-season share, regressed): HR 112, 1B 87, 2B 96, 3B 125, K 98, BB 111 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.036.

Result: wOBA .337 → .268; ISO .193 → .146; BABIP .338 → .337. 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 — .