Chesny Young

Pos2B
B/TR/R
Born1992-10-06
Age (2027)34
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2018
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201623AA/INTL2 orgs642.310/.387/.384416103—.285/.340/.362
201724AAACHC475.256/.316/.3111757—.240/.288/.286
201825AAA/ROK2 orgs306.269/.317/.3040437—.220/.251/.247
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)
201421 AKane County Cougars — 114105 34620 5220 21 324355419774 95400 194 333 80 — — — — — —
201522 A+Myrtle Beach Pelicans — 452402 1291831 45444 125 321395388783 67358 1010 357 100 — — — — — —
201522 ASouth Bend Cubs — 122108 34510 1271 93 315388380768 65333 610 348 86 — — — — — —
201623 AATennessee Smokies — 553491 1492524 57642 1614 303378387765 84340 1210 347 97 — — — — — —
201623 INTLLeones del Escogido — 8977 27100 1181 01 351438364802 13391 912 373 139 — — — — — —
201724 AAAIowa Cubs — 475425 1092001 33704 76 256316311627 54299 157 281 57 — — — — — —
201825 AAAIowa Cubs — 290271 72810 16540 41 266307303609 37329 196 276 35 — — — — — —
201825 ROKAZL Cubs 1 — 1612 4000 440 00 333500333833 500 2525 401 68 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201421 A MLEKane County Cougars — 114107 30520 3310 21 280300364664 84374 273 287 80 — — — — — —
201522 A+ MLEMyrtle Beach Pelicans — 452419 1261521 28614 125 301350353704 53351 136 316 100 — — — — — —
201522 A MLESouth Bend Cubs — 122112 31410 8101 93 277331330661 54300 87 296 86 — — — — — —
201623 AA MLETennessee Smokies — 553508 1452623 40792 1614 285340362702 77329 147 311 97 — — — — — —
201724 AAA MLEIowa Cubs — 475433 1041701 25844 76 240288286574 46278 185 253 57 — — — — — —
201825 AAA MLEIowa Cubs — 290277 61610 10700 41 220247249496 29288 243 220 35 — — — — — —
201825 ROK MLEAZL Cubs 1 — 1614 3000 260 00 214312214527 385 3812 268 68 — — — — — —
201421 A MLEKane County Cougars — 114107 30520 3310 21 280300364664 84385 273 287 80 — — — — — —
201421 A RAWKane County Cougars — 114105 34620 5220 21 324355419774 95400 194 333 80 — — — — — —
201522 A+ MLE2 teams — 574531 1581931 36715 218 298348350698 53341 126 312 97 — — — — — —
201522 A+ RAW2 teams — 574510 1632341 57515 218 320393386780 67352 910 355 97 — — — — — —
201623 AA MLE2 teams — 642590 1693124 46913 1615 286341366707 80331 147 311 97 — — — — — —
201623 AA RAW2 teams — 642568 1762624 68723 1615 310387384770 74347 1111 350 97 — — — — — —
201724 AAA MLEIowa Cubs — 475433 1041701 25844 76 240288286574 46290 185 253 57 — — — — — —
201724 AAA RAWIowa Cubs — 475425 1092001 33704 76 256316311627 54299 157 281 57 — — — — — —
201825 AAA MLE2 teams — 306290 64610 13760 41 221254248502 28296 254 223 37 — — — — — —
201825 AAA RAW2 teams — 306283 76810 20580 41 269317304621 35335 197 283 37 — — — — — —
201421 A MLEKane County Cougars — 114110 30520 3310 21 273300355655 82374 273 287 80 — — — — — —
201522 A+ MLE2 teams — 574528 1581931 36715 218 299348352700 53340 126 312 97 — — — — — —
201623 AA MLE2 teams — 642588 1693124 46913 1615 287341367709 80329 147 311 97 — — — — — —
201724 AAA MLEIowa Cubs — 475443 1041701 25844 76 235288280568 45278 185 253 57 — — — — — —
201825 AAA MLE2 teams — 306290 64610 13760 41 221254248502 28293 254 223 37 — — — — — —
▸ Career Totals
Career— MLE — 21111951 5257886 12335312 5031 269316326643 57323 176 284 78 -54 -2 +0 +8 +46 -0.4
/ 162G— MLE — 650601 1612422 381094 1510 268316324641 57321 176 284 78 -17 -1 +0 +2 +14 -0.1

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.

2018 AAAIowa Cubs · 290 PAwOBA .271 → .220 (−51)K% 18.6% → 24.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.62%÷0.993×1.290——24.19%
BB% (unintentional) /PA5.52%÷1.116×0.710—×1.0183.57%
HBP% /PA0.00%—×0.980—×1.0180.00%
Singles /BIP29.03%÷1.033×0.900×1.005×1.01825.87%
Doubles /BIP3.69%÷1.091×0.810×1.005×1.0182.80%
Triples /BIP0.46%÷1.024×0.810×1.005×1.0180.37%
Home runs /BIP0.00%÷0.919×0.780—×1.0180.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 84, 1B 107, 2B 118, 3B 105, K 99, BB 123 — 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 ×1.005.

Result: wOBA .271 → .220; ISO .037 → .027; BABIP .329 → .288. 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 ROKAZL Cubs 1 · 16 PAwOBA .392 → .268 (−124)K% 25.0% → 36.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.00%÷1.000×1.440——36.00%
BB% (unintentional) /PA25.00%÷1.000×0.620—×0.94014.57%
HBP% /PA0.00%—×0.720—×0.9400.00%
Singles /BIP50.00%÷1.000×0.820—×0.94038.54%
Doubles /BIP0.00%÷1.000×0.720—×0.9400.00%
Triples /BIP0.00%÷1.000×0.720—×0.9400.00%
Home runs /BIP0.00%÷1.000×0.780—×0.9400.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 26 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (6.5 yr older than average).

Result: wOBA .392 → .268; ISO .000 → .000; BABIP .500 → .385. 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 AAAIowa Cubs · 475 PAwOBA .278 → .253 (−25)K% 14.7% → 17.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.74%÷1.083×1.290——17.56%
BB% (unintentional) /PA6.95%÷0.965×0.710—×1.0335.28%
HBP% /PA0.84%—×0.980—×1.0330.85%
Singles /BIP24.79%÷0.991×0.900×1.020×1.03323.72%
Doubles /BIP5.63%÷1.056×0.810×1.020×1.0334.55%
Triples /BIP0.00%÷1.042×0.810×1.020×1.0330.00%
Home runs /BIP0.28%÷0.899×0.780—×1.0330.25%

Factors used: league row PCL. Park (home-season share, regressed): HR 80, 1B 98, 2B 111, 3B 108, K 117, 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 ×1.020.

Result: wOBA .278 → .253; ISO .054 → .045; BABIP .299 → .278. 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 AATennessee Smokies · 553 PAwOBA .340 → .311 (−28)K% 11.6% → 14.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.57%÷0.992×1.220——14.24%
BB% (unintentional) /PA10.31%÷0.982×0.680—×1.0127.23%
HBP% /PA0.36%—×0.840—×1.0120.31%
Singles /BIP27.63%÷1.013×0.920×1.037×1.01226.34%
Doubles /BIP5.85%÷0.918×0.910×1.037×1.0126.09%
Triples /BIP0.47%÷0.900×0.880×1.037×1.0120.48%
Home runs /BIP0.94%÷1.059×0.800—×1.0120.72%

Factors used: league row SL. Park (home-season share, regressed): HR 112, 1B 103, 2B 84, 3B 80, K 98, BB 96 — 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 ×1.037.

Result: wOBA .340 → .311; ISO .084 → .081; BABIP .340 → .329. 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 A+Myrtle Beach Pelicans · 452 PAwOBA .347 → .316 (−31)K% 9.7% → 13.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA9.73%÷1.025×1.420——13.48%
BB% (unintentional) /PA9.51%÷0.960×0.630—×0.9986.23%
HBP% /PA0.88%—×0.860—×0.9980.76%
Singles /BIP29.89%÷0.977×0.940×1.050×0.99830.14%
Doubles /BIP5.03%÷1.015×0.830×1.050×0.9984.31%
Triples /BIP0.84%÷1.138×0.800×1.050×0.9980.62%
Home runs /BIP0.28%÷0.888×0.900—×0.9980.28%

Factors used: league row CAR. Park (home-season share, regressed): HR 78, 1B 95, 2B 103, 3B 128, K 105, BB 92 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .347 → .316; ISO .067 → .057; BABIP .358 → .351. 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 ASouth Bend Cubs · 122 PAwOBA .342 → .296 (−46)K% 5.7% → 7.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA5.74%÷0.984×1.360——7.93%
BB% (unintentional) /PA9.84%÷1.006×0.690—×0.9906.68%
HBP% /PA0.82%—×0.780—×0.9900.63%
Singles /BIP27.72%÷1.036×0.920×1.050×0.99025.60%
Doubles /BIP4.95%÷1.109×0.830×1.050×0.9903.85%
Triples /BIP0.99%÷1.073×0.910×1.050×0.9900.87%
Home runs /BIP0.00%÷1.064×0.800—×0.9900.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 113, 1B 107, 2B 122, 3B 115, K 97, BB 101 — 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 ×1.050.

Result: wOBA .342 → .296; ISO .065 → .054; BABIP .333 → .300. 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 AKane County Cougars · 114 PAwOBA .330 → .287 (−43)K% 19.3% → 27.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.30%÷0.952×1.360——27.56%
BB% (unintentional) /PA4.39%÷1.058×0.690——2.86%
HBP% /PA0.00%—×0.780——0.00%
Singles /BIP31.33%÷1.029×0.920×1.050—29.41%
Doubles /BIP7.23%÷0.914×0.830×1.050—6.90%
Triples /BIP2.41%÷1.144×0.910×1.050—2.01%
Home runs /BIP0.00%÷1.029×0.800——0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 106, 1B 106, 2B 83, 3B 129, K 90, BB 112 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .330 → .287; ISO .095 → .083; BABIP .400 → .374. 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 — .