Justin Greene

PosCF
B/TR/R
Born1985-10-10
Age (2027)41
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2019
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201731AAA/INTL2 orgs607.336/.407/.4801666112—.302/.356/.420
201832INTLVenados de Ma…78.232/.303/.2610460—
201933AAATigres de Qui…168.311/.366/.4444774—.258/.299/.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)
200822 AKannapolis Intimidators — 3028 7110 041 10 250276357633 107280 130 272 49 — — — — — —
200822 ROKBristol White Sox — 212186 51952 18466 268 274357409766 134355 228 342 51 — — — — — —
200923 A+Winston-Salem Dash — 201175 42602 16528 125 240330309639 69331 268 297 45 — — — — — —
200923 AKannapolis Intimidators — 338284 861337 306614 167 303396444840 141371 209 368 88 — — — — — —
201024 AABirmingham Barons — 179168 39733 8541 64 232271363634 131324 304 279 38 — — — — — —
201024 A+Winston-Salem Dash — 291249 7715910 28736 177 309392562954 253399 2510 404 83 — — — — — —
201125 AAACharlotte Knights — 9686 22413 7281 22 256319430749 174339 297 326 68 — — — — — —
201125 AABirmingham Barons — 369325 832138 311227 117 255333412746 157381 338 329 78 — — — — — —
201226 AAACharlotte Knights — 205185 44616 17502 124 238309378687 141292 248 308 62 — — — — — —
201226 AABirmingham Barons — 158135 381032 21350 141 281378444823 163364 2213 363 95 — — — — — —
201327 AAMobile BayBears — 430380 1171991 42742 3112 308380413793 105377 1710 352 80 — — — — — —
201428 AAMobile BayBears — 10292 16410 9280 04 174248239487 65246 279 225 1 — — — — — —
201428 INTLAguilas de Mexicali — 7565 13200 9220 22 200297231528 31302 2912 251 56 — — — — — —
201529 AAASaraperos de Saltillo — 439390 13726210 35774 1812 351410505915 154416 188 397 101 — — — — — —
201529 INTLMexico — 183161 54531 15351 147 335395422818 87424 198 357 128 — — — — — —
201630 AAASaraperos de Saltillo — 489427 14522810 50844 3912 340414499913 159402 1710 398 103 — — — — — —
201630 INTLYaquis de Obregon — 9784 26411 10221 123 310389417806 107410 2310 357 128 — — — — — —
201731 AAAAcereros del Norte — 438384 13618213 44805 5122 354427513940 159421 1810 413 112 — — — — — —
201731 INTLMexico — 169151 44513 13352 158 291355397753 106360 218 334 112 — — — — — —
201832 INTLVenados de Mazatlan — 7869 16010 7190 43 232303261564 29320 249 257 60 — — — — — —
201933 AAATigres de Quintana Roo — 168151 47614 13380 72 311366444810 132394 238 353 74 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200822 A MLEKannapolis Intimidators — 3028 7110 051 10 250276357633 107252 170 241 49 — — — — — —
200822 ROK MLEBristol White Sox — 212193 39641 11656 268 202267290557 88291 315 244 51 — — — — — —
200923 A+ MLEWinston-Salem Dash — 201182 37502 10748 125 203275264539 60316 375 234 45 — — — — — —
200923 A MLEKannapolis Intimidators — 338295 771136 198914 167 261335380715 119327 266 299 88 — — — — — —
201024 AA MLEBirmingham Barons — 179171 34623 5681 64 199226310536 111302 383 224 38 — — — — — —
201024 A+ MLEWinston-Salem Dash — 291260 601167 171096 177 231293400693 169340 376 291 83 — — — — — —
201125 AAA MLECharlotte Knights — 9688 19312 5321 22 216266341607 125299 335 269 68 — — — — — —
201125 AA MLEBirmingham Barons — 369336 781937 201467 117 232289369658 137372 405 283 78 — — — — — —
201226 AAA MLECharlotte Knights — 205191 40516 11592 124 209260340600 131265 295 260 62 — — — — — —
201226 AA MLEBirmingham Barons — 158142 35932 14430 141 246314394708 148333 279 309 95 — — — — — —
201327 AA MLEMobile BayBears — 430395 1031681 27912 3112 261311349661 89325 216 286 80 — — — — — —
201428 AA MLEMobile BayBears — 10295 13310 6340 04 137188189378 53208 336 170 1 — — — — — —
201529 AAA MLESaraperos de Saltillo — 439400 1162226 25944 1812 290338400738 110352 216 318 101 — — — — — —
201630 AAA MLESaraperos de Saltillo — 489446 1281677 311064 3912 287339401740 114351 226 320 103 — — — — — —
201731 AAA MLEAcereros del Norte — 438400 1211629 28965 5122 302356420776 117369 226 334 112 — — — — — —
201933 AAA MLETigres de Quintana Roo — 168155 40513 9450 72 258299361660 103332 275 278 74 — — — — — —
200822 ROK MLE2 teams — 242221 44741 11717 278 199259281540 81287 295 244 51 — — — — — —
200822 ROK RAW2 teams — 242214 581062 18507 278 271347402749 131344 217 333 51 — — — — — —
200923 A MLE2 teams — 539477 1121537 2916222 2812 235309323632 88339 305 275 72 — — — — — —
200923 A RAW2 teams — 539459 1281939 4611822 2812 279371392763 113356 229 341 72 — — — — — —
201024 A+ MLE2 teams — 470430 9317810 231787 2311 216267363630 147340 385 265 66 — — — — — —
201024 A+ RAW2 teams — 470417 116221213 361277 2311 278346482828 204369 278 356 66 — — — — — —
201125 AA MLE2 teams — 465424 982249 251788 139 231287366652 134371 385 280 76 — — — — — —
201125 AA RAW2 teams — 465411 10525411 381508 139 255330416746 161372 328 328 76 — — — — — —
201226 AAA MLE2 teams — 363333 751448 251012 265 225283363647 138296 287 281 77 — — — — — —
201226 AAA RAW2 teams — 363320 821648 38852 265 256339406745 150323 2310 332 77 — — — — — —
201327 AA MLEMobile BayBears — 430395 1031681 27912 3112 261311349661 89333 216 286 80 — — — — — —
201327 AA RAWMobile BayBears — 430380 1171991 42742 3112 308380413793 105377 1710 352 80 — — — — — —
201428 AA MLE2 teams — 177165 23610 10600 26 139189188376 48217 346 170 1 — — — — — —
201428 AA RAW2 teams — 177157 29610 18500 26 185269236504 51269 2810 236 1 — — — — — —
201529 AAA MLE2 teams — 622565 1653139 361325 3219 292340405745 113366 216 318 101 — — — — — —
201529 AAA RAW2 teams — 622551 19131511 501125 3219 347406481887 134419 188 385 101 — — — — — —
201630 AAA MLE2 teams — 586533 1521988 381275 5115 285339396734 111359 226 320 103 — — — — — —
201630 AAA RAW2 teams — 586511 17126911 601065 5115 335410485895 151403 1810 392 103 — — — — — —
201731 AAA MLE2 teams — 607553 16722213 391347 6630 302356420775 118377 226 334 112 — — — — — —
201731 AAA RAW2 teams — 607535 18023316 571157 6630 336407480888 144404 199 391 112 — — — — — —
201832 INTL MLEVenados de Mazatlan — 7869 16010 7190 43 232303261564 29320 249 — — — — — — — —
201832 INTL RAWVenados de Mazatlan — 7869 16010 7190 43 232303261564 29320 249 257 60 — — — — — —
201933 AAA MLETigres de Quintana Roo — 168155 40513 9450 72 258299361660 103346 275 278 74 — — — — — —
201933 AAA RAWTigres de Quintana Roo — 168151 47614 13380 72 311366444810 132394 238 353 74 — — — — — —
200822 ROK MLE2 teams — 242222 44741 11717 278 198259279539 81286 295 244 51 — — — — — —
200923 A MLE2 teams — 539483 1121537 2916222 2812 232309319628 87323 305 275 72 — — — — — —
201024 A+ MLE2 teams — 470437 9317810 231787 2311 213267357624 144326 385 265 66 — — — — — —
201125 AA MLE2 teams — 465429 982249 251788 139 228287361648 133357 385 280 76 — — — — — —
201226 AAA MLE2 teams — 363333 751448 251012 265 225283363647 138295 287 281 77 — — — — — —
201327 AA MLEMobile BayBears — 430398 1031681 27912 3112 259311347658 88325 216 286 80 — — — — — —
201428 AA MLE2 teams — 177165 23610 10600 26 139189188376 48208 346 170 1 — — — — — —
201529 AAA MLE2 teams — 622576 1653139 361325 3219 286340398738 111352 216 318 101 — — — — — —
201630 AAA MLE2 teams — 586538 1521988 381275 5115 283339392731 110351 226 320 103 — — — — — —
201731 AAA MLE2 teams — 607556 16722213 391347 6630 300356417773 117369 226 334 112 — — — — — —
201933 AAA MLETigres de Quintana Roo — 168157 40513 9450 72 255299357655 102332 275 278 74 — — — — — —
▸ Career Totals
Career— MLE — 47474320 10881744769 279129865 310132 252307362669 110343 276 285 79 -119 +9 +0 +17 +103 1.0
/ 162G— MLE — 650592 1482469 381789 4218 250305356662 106341 276 285 79 -16 +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.

2019 AAATigres de Quintana Roo · 168 PAwOBA .343 → .278 (−66)K% 22.6% → 26.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.62%÷1.008×1.200——26.92%
BB% (unintentional) /PA7.74%÷0.966×0.690—×0.9405.19%
HBP% /PA0.00%—×0.940—×0.9400.00%
Singles /BIP31.86%÷0.962×0.930×0.950×0.94027.51%
Doubles /BIP5.31%÷0.990×0.830×0.950×0.9403.98%
Triples /BIP0.88%÷0.900×0.920×0.950×0.9400.81%
Home runs /BIP3.54%÷0.898×0.700—×0.9402.59%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 80, 1B 92, 2B 98, 3B 80, K 102, BB 93 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .343 → .278; ISO .132 → .101; BABIP .394 → .332. 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 AAAAcereros del Norte · 438 PAwOBA .402 → .334 (−68)K% 18.3% → 22.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.26%÷0.996×1.200——22.02%
BB% (unintentional) /PA9.59%÷0.985×0.690—×0.9526.39%
HBP% /PA1.14%—×0.940—×0.9521.02%
Singles /BIP33.88%÷1.025×0.930×1.036×0.95230.31%
Doubles /BIP5.92%÷0.958×0.830×1.036×0.9525.06%
Triples /BIP0.66%÷1.109×0.920×1.036×0.9520.54%
Home runs /BIP4.28%÷0.969×0.700—×0.9522.94%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 105, 2B 92, 3B 122, K 99, BB 97 — 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 ×1.036.

Result: wOBA .402 → .334; ISO .159 → .120; BABIP .421 → .369. 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 AAASaraperos de Saltillo · 489 PAwOBA .390 → .320 (−70)K% 17.2% → 21.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.18%÷0.948×1.200——21.74%
BB% (unintentional) /PA10.02%÷1.047×0.690—×0.9626.35%
HBP% /PA0.82%—×0.940—×0.9620.74%
Singles /BIP30.61%÷1.007×0.930×1.033×0.96228.10%
Doubles /BIP6.41%÷1.154×0.830×1.033×0.9624.59%
Triples /BIP2.33%÷1.059×0.920×1.033×0.9622.01%
Home runs /BIP2.92%÷0.966×0.700—×0.9622.03%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 93, 1B 101, 2B 131, 3B 112, K 90, BB 109 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.033.

Result: wOBA .390 → .320; ISO .159 → .120; BABIP .402 → .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 AAASaraperos de Saltillo · 439 PAwOBA .388 → .318 (−69)K% 17.5% → 21.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.54%÷0.989×1.200——21.29%
BB% (unintentional) /PA7.74%÷0.903×0.690—×0.9725.75%
HBP% /PA0.91%—×0.940—×0.9720.83%
Singles /BIP31.63%÷1.024×0.930×0.975×0.97227.23%
Doubles /BIP8.31%÷0.948×0.830×0.975×0.9726.89%
Triples /BIP0.64%÷0.900×0.920×0.975×0.9720.62%
Home runs /BIP3.19%÷1.099×0.700—×0.9721.98%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 120, 1B 105, 2B 90, 3B 80, K 98, BB 81 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.975.

Result: wOBA .388 → .318; ISO .154 → .114; BABIP .416 → .352. 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 AAMobile BayBears · 102 PAwOBA .222 → .170 (−52)K% 27.5% → 33.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.45%÷0.993×1.220——33.71%
BB% (unintentional) /PA8.82%÷1.030×0.680—×0.9585.58%
HBP% /PA0.00%—×0.840—×0.9580.00%
Singles /BIP17.19%÷1.018×0.920×0.970×0.95814.44%
Doubles /BIP6.25%÷0.965×0.910×0.970×0.9585.48%
Triples /BIP1.56%÷1.038×0.880×0.970×0.9581.23%
Home runs /BIP0.00%÷0.902×0.800—×0.9580.00%

Factors used: league row SL. Park (home-season share, regressed): HR 80, 1B 104, 2B 93, 3B 108, K 99, BB 106 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.970.

Result: wOBA .222 → .170; ISO .065 → .053; BABIP .246 → .208. 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).

2013 AAMobile BayBears · 430 PAwOBA .344 → .286 (−58)K% 17.2% → 21.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.21%÷0.993×1.220——21.14%
BB% (unintentional) /PA9.30%÷0.994×0.680—×0.9686.16%
HBP% /PA0.47%—×0.840—×0.9680.38%
Singles /BIP28.76%÷1.022×0.920×1.005×0.96825.20%
Doubles /BIP6.21%÷1.089×0.910×1.005×0.9685.05%
Triples /BIP2.94%÷1.023×0.880×1.005×0.9682.46%
Home runs /BIP0.33%÷1.071×0.800—×0.9680.24%

Factors used: league row SL. Park (home-season share, regressed): HR 114, 1B 104, 2B 118, 3B 105, K 99, BB 99 — 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 ×1.005.

Result: wOBA .344 → .286; ISO .105 → .087; BABIP .377 → .325. 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).

2012 AAACharlotte Knights · 205 PAwOBA .302 → .260 (−42)K% 24.4% → 28.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.39%÷1.020×1.200——28.68%
BB% (unintentional) /PA8.29%÷1.047×0.690—×1.0035.48%
HBP% /PA0.98%—×0.940—×1.0030.92%
Singles /BIP22.96%÷1.009×0.930×1.004×1.00321.31%
Doubles /BIP4.44%÷1.065×0.830×1.004×1.0033.49%
Triples /BIP0.74%÷0.900×0.970×1.004×1.0030.80%
Home runs /BIP4.44%÷0.866×0.840—×1.0034.32%

Factors used: league row IL. Park (home-season share, regressed): HR 73, 1B 102, 2B 113, 3B 80, K 104, BB 109 — 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 ×1.004.

Result: wOBA .302 → .260; ISO .141 → .130; BABIP .292 → .265. 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).

2012 AABirmingham Barons · 158 PAwOBA .356 → .309 (−48)K% 22.2% → 27.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.15%÷1.001×1.220——27.00%
BB% (unintentional) /PA13.29%÷0.997×0.680—×0.9788.87%
HBP% /PA0.00%—×0.840—×0.9780.00%
Singles /BIP23.00%÷0.995×0.920×1.002×0.97820.83%
Doubles /BIP10.00%÷0.952×0.910×1.002×0.9789.36%
Triples /BIP3.00%÷0.910×0.880×1.002×0.9782.84%
Home runs /BIP2.00%÷0.823×0.800—×0.9781.90%

Factors used: league row SL. Park (home-season share, regressed): HR 65, 1B 99, 2B 90, 3B 82, K 100, BB 99 — 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 ×1.002.

Result: wOBA .356 → .309; ISO .163 → .156; BABIP .364 → .333. 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 — .