Andrew Young

Pos2B
B/TR/R
Born1994-05-10
Age (2027)33
No MLB projection yet. Career stats below are historical.
Overview
AALAST SEASON 2022
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202026MLBARI34.192/.382/.385101250.0
202127AAAARI224.304/.392/.59811299—.225/.302/.420
202127MLBARI104.209/.301/.48460115-0.1
202228AAA/AAWSH369.211/.320/.38714351—.166/.252/.293
202329No MLB games played
202430No MLB games played
202531No MLB games played
202632No MLB games played
Last 3 seasons WAR -0.1
Contract
No contract data on file.
Scouting grades · 20-80
Power67Speed61Eye44

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)
201622 ROKGCL Cardinals — 4331 10210 734 00 323500452952 129357 716 427 102 — — — — — —
201723 A+Palm Beach Cardinals — 221196 52905 104910 30 265333388721 122322 225 320 73 — — — — — —
201723 APeoria Chiefs — 244211 6011412 225410 52 284379545924 261331 229 402 93 — — — — — —
201824 AASpringfield Cardinals — 152135 43319 72610 02 319395556950 237340 175 418 105 — — — — — —
201824 A+Palm Beach Cardinals — 351297 8210212 315917 40 276377444821 168304 179 364 95 — — — — — —
201824 INTLSurprise Saguaros — 8469 22513 14160 10 319434551984 232373 1917 426 175 — — — — — —
201925 AAAReno Aces — 277239 6710321 246812 22 280375611985 331305 259 422 93 — — — — — —
201925 AAJackson Generals — 263223 581528 185319 11 260365453818 193305 207 363 85 — — — — — —
202026 MLBArizona Diamondbacks — 3426 5201 5103 00 192382385767 192267 2915 357 125 +1 +0 -2 +0 +1 0.0
202127 MLBArizona Diamondbacks — 10491 19706 6456 00 209301484784 275317 436 341 115 +2 +0 -7 +1 +2 -0.1
202127 AAAReno Aces — 224194 5920211 20788 20 304392598990 294449 359 425 99 — — — — — —
202228 AAARochester Red Wings — 11191 19403 14336 31 209351352703 143291 3013 328 65 — — — — — —
202228 AAHarrisburg Senators — 258227 4810011 28863 01 211306401707 189285 3311 317 45 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 138117 24907 11559 00 205321462783 256304 408 345 120 +3 +0 -8 +1 +3 -0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201622 ROK MLEGCL Cardinals — 4334 9210 444 00 265405382787 118275 99 319 102 — — — — — —
201723 A+ MLEPalm Beach Cardinals — 221198 45805 86910 30 227292343635 116299 314 276 73 — — — — — —
201723 A MLEPeoria Chiefs — 244218 47839 157010 52 216296404700 188273 296 305 93 — — — — — —
201824 AA MLESpringfield Cardinals — 152138 36316 43210 02 261329428756 167294 213 324 105 — — — — — —
201824 A+ MLEPalm Beach Cardinals — 351306 719212 228117 40 232319392711 160264 236 309 95 — — — — — —
201925 AAA MLEReno Aces — 277245 497214 189112 22 200287416704 216243 336 306 93 — — — — — —
201925 AA MLEJackson Generals — 263229 501227 126319 11 218312380691 162257 245 294 85 — — — — — —
202026 MLB MLEArizona Diamondbacks — 3426 5201 5103 00 192382385767 192267 2915 352 125 +1 +0 -2 +0 +1 0.0
202127 MLB MLEArizona Diamondbacks — 10491 18606 6456 00 198291462753 264317 436 338 115 +2 +0 -7 +1 +2 -0.1
202127 AAA MLEReno Aces — 224200 451427 14958 20 225302420722 195370 426 315 99 — — — — — —
202228 AAA MLERochester Red Wings — 11195 17402 10386 31 179297284582 105271 349 265 65 — — — — — —
202228 AA MLEHarrisburg Senators — 258236 38808 191053 01 161233297529 136246 417 234 45 — — — — — —
201622 ROK MLEGCL Cardinals — 4334 9210 444 00 265405382787 118300 99 319 102 — — — — — —
201622 ROK RAWGCL Cardinals — 4331 10210 734 00 323500452952 129357 716 427 102 — — — — — —
201723 A MLE2 teams — 465417 9317314 2213920 82 223294379673 156295 305 291 83 — — — — — —
201723 A RAW2 teams — 465407 11220417 3210320 82 275357469827 194326 227 363 83 — — — — — —
201824 A+ MLE3 teams — 587522 12514321 3113127 52 239316398714 159277 225 314 98 — — — — — —
201824 A+ RAW3 teams — 587501 14718424 5210127 52 293390489879 196323 179 387 98 — — — — — —
201925 AAA MLE2 teams — 540474 9919421 3015331 33 209299399698 190257 286 300 89 — — — — — —
201925 AAA RAW2 teams — 540462 12525529 4212131 33 271370535905 264305 228 393 89 — — — — — —
202026 MLB MLEArizona Diamondbacks — 3426 5201 5103 00 192382385767 192267 2915 352 125 +1 +0 -2 +0 +1 0.0
202026 MLB RAWArizona Diamondbacks — 3426 5201 5103 00 192382385767 192267 2915 357 125 +1 +0 -2 +0 +1 0.0
202127 AAA MLE2 teams — 328291 6521214 2014014 20 223305454758 230364 436 322 104 — — — — — —
202127 AAA RAW2 teams — 328285 7827217 2612314 20 274363561924 288412 388 398 104 — — — — — —
202228 AA MLE2 teams — 369331 5612010 291439 32 169255296551 127258 398 243 51 — — — — — —
202228 AA RAW2 teams — 369318 6714014 421199 32 211320387707 176286 3211 321 51 — — — — — —
201622 ROK MLEGCL Cardinals — 4335 9210 444 00 257405371776 114275 99 319 102 — — — — — —
201723 A MLE2 teams — 465420 9317314 2213920 82 221294376670 155285 305 291 83 — — — — — —
201824 A+ MLE3 teams — 587524 12514321 3113127 52 239316397712 158273 225 314 98 — — — — — —
201925 AAA MLE2 teams — 540474 9919421 3015331 33 209299399698 190250 286 300 89 — — — — — —
202026 MLB MLEArizona Diamondbacks — 3426 5201 5103 00 192382385767 192267 2915 352 125 — — — — — —
202127 AAA MLE2 teams — 328291 6521214 2014014 20 223305454758 230353 436 322 104 — — — — — —
202228 AA MLE2 teams — 369328 5612010 291439 32 171255299554 128254 398 243 51 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 138117 24907 11559 00 205321462783 256304 408 345 87 +3 +0 -8 +1 +3 -0.1
/ 162G— A+C — 650551 11342033 5225942 00 205321461782 256303 408 345 87 +15 +0 -39 +6 +14 -0.4
Career— MLE — 23662095 452871381 141720108 219 216299386685 170283 306 297 87 +3 +0 -8 +1 +3 -0.1
/ 162G— MLE — 650576 12424422 3919830 62 215300385685 170283 306 297 87 +15 +0 -39 +6 +14 -0.4

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 AAHarrisburg Senators · 258 PAwOBA .309 → .234 (−75)K% 33.3% → 40.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA33.33%÷0.996×1.220——40.83%
BB% (unintentional) /PA10.85%÷0.980×0.700—×0.9687.51%
HBP% /PA1.16%—×0.850—×0.9680.96%
Singles /BIP19.15%÷1.016×0.970×0.962×0.96817.01%
Doubles /BIP7.09%÷0.936×0.860×0.962×0.9686.07%
Triples /BIP0.00%÷1.150×0.950×0.962×0.9680.00%
Home runs /BIP7.80%÷0.979×0.780—×0.9686.01%

Factors used: league row EL. Park (home-season share, regressed): HR 96, 1B 103, 2B 87, 3B 130, K 99, BB 96 — 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 ×0.962.

Result: wOBA .309 → .234; ISO .189 → .139; BABIP .285 → .246. 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 AAARochester Red Wings · 111 PAwOBA .320 → .265 (−56)K% 29.7% → 34.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA29.73%÷1.049×1.200——34.02%
BB% (unintentional) /PA12.61%÷0.973×0.690—×0.9928.88%
HBP% /PA5.41%—×0.940—×0.9925.04%
Singles /BIP20.69%÷1.011×0.930×1.050×0.99219.83%
Doubles /BIP6.90%÷0.930×0.830×1.050×0.9926.41%
Triples /BIP0.00%÷0.913×0.970×1.050×0.9920.00%
Home runs /BIP5.17%÷1.084×0.700—×0.9923.31%

Factors used: league row International League. Park (home-season share, regressed): HR 117, 1B 102, 2B 86, 3B 83, K 110, BB 95 — 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 ×1.050.

Result: wOBA .320 → .265; ISO .143 → .104; BABIP .291 → .271. 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 AAAReno Aces · 224 PAwOBA .417 → .315 (−102)K% 34.8% → 42.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA34.82%÷0.991×1.200——42.16%
BB% (unintentional) /PA8.93%÷0.963×0.690—×1.0036.41%
HBP% /PA3.57%—×0.940—×1.0033.37%
Singles /BIP22.41%÷1.047×0.930×1.018×1.00320.32%
Doubles /BIP17.24%÷1.096×0.830×1.018×1.00313.33%
Triples /BIP1.72%÷1.113×0.920×1.018×1.0031.46%
Home runs /BIP9.48%÷0.958×0.700—×1.0036.95%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 92, 1B 109, 2B 119, 3B 123, K 98, BB 93 — 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 ×1.018.

Result: wOBA .417 → .315; ISO .294 → .206; BABIP .449 → .370. 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 AAAReno Aces · 277 PAwOBA .411 → .306 (−105)K% 24.5% → 32.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.55%÷0.970×1.290——32.66%
BB% (unintentional) /PA8.66%÷0.986×0.710—×1.0336.45%
HBP% /PA4.33%—×0.980—×1.0334.39%
Singles /BIP19.30%÷1.035×0.900×0.950×1.03316.46%
Doubles /BIP5.85%÷1.025×0.810×0.950×1.0334.53%
Triples /BIP1.75%÷1.150×0.810×0.950×1.0331.21%
Home runs /BIP12.28%÷1.077×0.780—×1.0339.19%

Factors used: league row PCL. Park (home-season share, regressed): HR 115, 1B 107, 2B 105, 3B 130, K 94, BB 97 — 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 ×0.950.

Result: wOBA .411 → .306; ISO .331 → .226; BABIP .305 → .243. 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 AAJackson Generals · 263 PAwOBA .356 → .294 (−62)K% 20.2% → 23.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.15%÷1.028×1.220——23.93%
BB% (unintentional) /PA6.84%÷1.001×0.680—×0.9984.64%
HBP% /PA7.22%—×0.840—×0.9986.06%
Singles /BIP19.41%÷0.996×0.920×0.950×0.99817.00%
Doubles /BIP8.82%÷1.099×0.910×0.950×0.9986.93%
Triples /BIP1.18%÷0.900×0.880×0.950×0.9981.09%
Home runs /BIP4.71%÷0.966×0.800—×0.9983.89%

Factors used: league row SL. Park (home-season share, regressed): HR 93, 1B 99, 2B 120, 3B 80, K 106, 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 ×0.950.

Result: wOBA .356 → .294; ISO .193 → .160; BABIP .305 → .257. 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+Palm Beach Cardinals · 351 PAwOBA .358 → .309 (−49)K% 16.8% → 23.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.81%÷1.036×1.420——23.04%
BB% (unintentional) /PA8.83%÷1.045×0.750—×0.9886.26%
HBP% /PA4.84%—×0.930—×0.9884.45%
Singles /BIP24.37%÷1.027×0.920×0.961×0.98820.72%
Doubles /BIP4.20%÷0.942×0.960×0.961×0.9884.06%
Triples /BIP0.84%÷0.900×0.810×0.961×0.9880.72%
Home runs /BIP5.04%÷0.852×0.880—×0.9885.15%

Factors used: league row FSL. Park (home-season share, regressed): HR 70, 1B 105, 2B 88, 3B 80, K 107, BB 109 — 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 ×0.961.

Result: wOBA .358 → .309; ISO .168 → .164; BABIP .304 → .264. 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 AASpringfield Cardinals · 152 PAwOBA .405 → .324 (−81)K% 17.1% → 20.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.11%÷1.003×1.220——20.81%
BB% (unintentional) /PA3.95%÷1.026×0.700—×1.0122.73%
HBP% /PA6.58%—×0.870—×1.0125.79%
Singles /BIP27.52%÷1.014×0.920×0.968×1.01224.47%
Doubles /BIP2.75%÷0.973×0.840×0.968×1.0122.33%
Triples /BIP0.92%÷0.900×0.940×0.968×1.0120.94%
Home runs /BIP8.26%÷1.215×0.800—×1.0125.50%

Factors used: league row TL. Park (home-season share, regressed): HR 143, 1B 103, 2B 95, 3B 80, K 101, BB 105 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.968.

Result: wOBA .405 → .324; ISO .237 → .165; BABIP .340 → .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).

2017 APeoria Chiefs · 244 PAwOBA .390 → .305 (−85)K% 22.1% → 28.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.13%÷1.046×1.360——28.77%
BB% (unintentional) /PA8.61%÷0.969×0.690—×0.9906.07%
HBP% /PA4.10%—×0.780—×0.9903.16%
Singles /BIP21.02%÷1.035×0.920×0.961×0.99017.77%
Doubles /BIP7.01%÷0.992×0.830×0.961×0.9905.58%
Triples /BIP2.55%÷0.983×0.910×0.961×0.9902.24%
Home runs /BIP7.64%÷0.970×0.800—×0.9906.24%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 107, 2B 98, 3B 97, K 109, BB 94 — 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 ×0.961.

Result: wOBA .390 → .305; ISO .261 → .206; BABIP .331 → .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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .