Torii Hunter Jr.

PosOF
B/TR/R
Born1995-06-07
Age (2027)32
No MLB projection yet. Career stats below are historical.
Overview
AALAST SEASON 2022
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201924A+SEA306.251/.362/.32011644—.181/.273/.226
202126AAA/AALAA348.233/.313/.36281245—.191/.249/.281
202227AAA/AALAA291.255/.317/.42282464—.223/.272/.361
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)
201722 ROKOrem Owlz — 247213 751031 23447 132 352432441873 89440 189 389 80 — — — — — —
201823 A+Inland Empire 66ers — 6055 18110 2182 50 327373382755 55486 303 337 68 — — — — — —
201823 ABurlington Bees — 433381 971482 441064 246 255338349687 94343 2410 311 51 — — — — — —
201924 A+Inland Empire 66ers — 306259 65741 38767 163 251362320682 69350 2512 317 44 — — — — — —
202126 AAASalt Lake Bees — 1816 2001 270 00 125222312535 188125 3911 243 1 — — — — — —
202126 AARocket City Trash Pandas — 330293 701417 311093 125 239318365683 126354 339 307 47 — — — — — —
202227 AAASalt Lake Bees — 10394 25321 7321 82 266324372696 106393 317 310 61 — — — — — —
202227 AARocket City Trash Pandas — 188169 42737 12574 162 249314450763 201327 306 332 65 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201722 ROK MLEOrem Owlz — 247223 60721 13637 132 269329332661 63361 265 287 80 — — — — — —
201823 A+ MLEInland Empire 66ers — 6056 16110 1232 50 286322339661 54443 382 268 68 — — — — — —
201823 A MLEBurlington Bees — 433396 831082 291494 246 210270290561 81313 347 243 51 — — — — — —
201924 A+ MLEInland Empire 66ers — 306270 49521 271027 163 181273226499 44285 339 233 44 — — — — — —
202126 AAA MLESalt Lake Bees — 1817 2001 190 00 118167294461 176112 506 169 1 — — — — — —
202126 AA MLERocket City Trash Pandas — 330303 591214 211313 125 195254281534 86319 406 237 47 — — — — — —
202227 AAA MLESalt Lake Bees — 10396 24321 5391 82 250294354648 104380 385 259 61 — — — — — —
202227 AA MLERocket City Trash Pandas — 188173 36635 8684 162 208259364624 156297 364 265 65 — — — — — —
201722 ROK MLEOrem Owlz — 247223 60721 13637 132 269329332661 63371 265 287 80 — — — — — —
201722 ROK RAWOrem Owlz — 247213 751031 23447 132 352432441873 89440 189 389 80 — — — — — —
201823 A MLE2 teams — 493452 961082 301726 296 212270283554 71333 356 246 53 — — — — — —
201823 A RAW2 teams — 493436 1151592 461246 296 264342353695 89360 259 314 53 — — — — — —
201924 A+ MLEInland Empire 66ers — 306270 49521 271027 163 181273226499 44286 339 233 44 — — — — — —
201924 A+ RAWInland Empire 66ers — 306259 65741 38767 163 251362320682 69350 2512 317 44 — — — — — —
202126 AA MLE2 teams — 348319 611215 231393 125 191252282534 91318 407 233 44 — — — — — —
202126 AA RAW2 teams — 348309 721418 331163 125 233313362676 129344 339 304 44 — — — — — —
202227 AA MLE2 teams — 291270 59955 121075 244 219265344609 126338 374 263 64 — — — — — —
202227 AA RAW2 teams — 291263 671058 19895 244 255317422739 167351 317 324 64 — — — — — —
201722 ROK MLEOrem Owlz — 247225 60721 13637 132 267329329658 62361 265 287 80 — — — — — —
201823 A MLE2 teams — 493454 961082 301726 296 211270282552 70329 356 246 53 — — — — — —
201924 A+ MLEInland Empire 66ers — 306269 49521 271027 163 182273227500 45285 339 233 44 — — — — — —
202126 AA MLE2 teams — 348319 611215 231393 125 191252282534 91308 407 233 44 — — — — — —
202227 AA MLE2 teams — 291272 59955 121075 244 217265342607 125326 374 263 64 — — — — — —
▸ Career Totals
Career— MLE — 16851534 325431814 10558328 9420 212275291565 79329 356 250 55 -90 +11 +0 -10 +37 -5.3
/ 162G— MLE — 650592 1251775 4122511 368 211275289564 78329 356 250 55 -35 +4 +0 -4 +14 -2.1

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.

2022 AARocket City Trash Pandas · 188 PAwOBA .326 → .265 (−61)K% 30.3% → 36.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA30.32%÷1.023×1.220——36.15%
BB% (unintentional) /PA6.38%÷1.041×0.680—×0.9784.08%
HBP% /PA2.13%—×0.840—×0.9781.75%
Singles /BIP22.32%÷1.020×0.920×1.035×0.97820.39%
Doubles /BIP6.25%÷0.978×0.910×1.035×0.9785.89%
Triples /BIP2.68%÷0.900×0.880×1.035×0.9782.65%
Home runs /BIP6.25%÷1.131×0.800—×0.9784.32%

Factors used: league row SL. Park (home-season share, regressed): HR 126, 1B 104, 2B 96, 3B 80, K 105, BB 108 — 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 ×1.035.

Result: wOBA .326 → .265; ISO .201 → .156; BABIP .327 → .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).

2022 AAASalt Lake Bees · 103 PAwOBA .302 → .259 (−43)K% 31.1% → 37.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA31.07%÷0.989×1.200——37.70%
BB% (unintentional) /PA6.80%÷1.034×0.690—×1.0034.55%
HBP% /PA0.97%—×0.940—×1.0030.92%
Singles /BIP30.65%÷0.993×0.930×1.050×1.00330.23%
Doubles /BIP4.84%÷0.956×0.830×1.050×1.0034.42%
Triples /BIP3.23%÷1.150×0.970×1.050×1.0032.87%
Home runs /BIP1.61%÷0.978×0.700—×1.0031.16%

Factors used: league row International League. Park (home-season share, regressed): HR 96, 1B 99, 2B 91, 3B 130, K 98, 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 ×1.050.

Result: wOBA .302 → .259; ISO .106 → .085; BABIP .393 → .380. 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 AARocket City Trash Pandas · 330 PAwOBA .300 → .237 (−63)K% 33.0% → 39.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA33.03%÷1.018×1.220——39.59%
BB% (unintentional) /PA9.39%÷0.992×0.690—×0.9886.46%
HBP% /PA0.91%—×0.850—×0.9880.76%
Singles /BIP26.09%÷0.985×0.940×0.981×0.98824.13%
Doubles /BIP7.61%÷0.947×0.870×0.981×0.9886.78%
Triples /BIP0.54%÷1.150×0.920×0.981×0.9880.42%
Home runs /BIP3.80%÷1.249×0.780—×0.9882.35%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 150, 1B 97, 2B 89, 3B 130, K 104, BB 98 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.981.

Result: wOBA .300 → .237; ISO .126 → .088; BABIP .354 → .319. 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 AAASalt Lake Bees · 18 PAwOBA .237 → .169 (−67)K% 38.9% → 47.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA38.89%÷0.982×1.200——47.51%
BB% (unintentional) /PA11.11%÷1.090×0.690—×1.0187.16%
HBP% /PA0.00%—×0.940—×1.0180.00%
Singles /BIP11.11%÷1.032×0.930—×1.01810.20%
Doubles /BIP0.00%÷1.002×0.830—×1.0180.00%
Triples /BIP0.00%÷1.150×0.920—×1.0180.00%
Home runs /BIP11.11%÷0.907×0.700—×1.0188.73%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 81, 1B 106, 2B 100, 3B 130, K 96, BB 118 — 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).

Result: wOBA .237 → .169; ISO .188 → .134; BABIP .125 → .112. 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 A+Inland Empire 66ers · 306 PAwOBA .310 → .233 (−77)K% 24.8% → 33.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.84%÷0.997×1.340——33.39%
BB% (unintentional) /PA12.09%÷0.968×0.710—×0.9888.76%
HBP% /PA2.29%—×0.790—×0.9881.79%
Singles /BIP28.96%÷1.024×0.910×0.950×0.98824.17%
Doubles /BIP3.83%÷0.985×0.820×0.950×0.9882.99%
Triples /BIP2.19%÷1.150×0.760×0.950×0.9881.36%
Home runs /BIP0.55%÷0.939×0.920—×0.9880.53%

Factors used: league row CAL. Park (home-season share, regressed): HR 88, 1B 105, 2B 97, 3B 130, K 99, BB 94 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .310 → .233; ISO .069 → .048; BABIP .350 → .285. 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 ABurlington Bees · 433 PAwOBA .306 → .243 (−64)K% 24.5% → 34.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.48%÷0.970×1.360——34.33%
BB% (unintentional) /PA10.16%÷1.042×0.690—×0.9906.66%
HBP% /PA0.92%—×0.780—×0.9900.71%
Singles /BIP26.55%÷1.009×0.920×1.034×0.99024.77%
Doubles /BIP5.09%÷1.147×0.830×1.034×0.9903.77%
Triples /BIP2.91%÷0.900×0.910×1.034×0.9903.01%
Home runs /BIP0.73%÷0.907×0.800—×0.9900.63%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 81, 1B 102, 2B 129, 3B 80, K 94, BB 108 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.034.

Result: wOBA .306 → .243; ISO .094 → .077; BABIP .343 → .313. 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+Inland Empire 66ers · 60 PAwOBA .329 → .268 (−60)K% 30.0% → 38.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA30.00%÷1.044×1.340——38.52%
BB% (unintentional) /PA3.33%÷0.986×0.710—×0.9982.40%
HBP% /PA3.33%—×0.790—×0.9982.63%
Singles /BIP43.24%÷0.977×0.910—×0.99840.21%
Doubles /BIP2.70%÷1.087×0.820—×0.9982.03%
Triples /BIP2.70%÷0.978×0.760—×0.9982.10%
Home runs /BIP0.00%÷0.978×0.920—×0.9980.00%

Factors used: league row CAL. Park (home-season share, regressed): HR 96, 1B 95, 2B 117, 3B 96, K 109, BB 97 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average).

Result: wOBA .329 → .268; ISO .055 → .038; BABIP .486 → .443. 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 ROKOrem Owlz · 247 PAwOBA .378 → .287 (−91)K% 17.8% → 25.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.81%÷1.000×1.440——25.65%
BB% (unintentional) /PA8.91%÷1.000×0.610—×0.9755.30%
HBP% /PA2.83%—×0.720—×0.9751.99%
Singles /BIP36.09%÷1.000×0.820×1.050×0.97530.30%
Doubles /BIP5.92%÷1.000×0.720×1.050×0.9754.36%
Triples /BIP1.78%÷1.000×0.720×1.050×0.9751.31%
Home runs /BIP0.59%÷1.000×0.750—×0.9750.43%

Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .378 → .287; ISO .089 → .064; BABIP .440 → .361. 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).