Jay Austin

PosOF
B/TL/L
Born1990-08-10
Age (2027)36
No MLB projection yet. Career stats below are historical.
Overview
INTLLAST SEASON 2020
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201221ALexington Leg…59.255/.356/.3140574—.241/.305/.296
201928AAA/INTL2 orgs646.329/.386/.4841644106—.287/.324/.402
202029INTLMayos de Navo…61.182/.250/.2180135—
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)
200817 ROKGreeneville Astros — 235212 42420 19694 146 198277236512 38294 298 243 3 — — — — — —
200918 ALexington Legends — 435397 1062261 31780 2313 267320360680 93330 187 302 67 — — — — — —
201019 A+Lancaster JetHawks — 587532 139251310 391263 5420 261315414729 152323 217 316 59 — — — — — —
201019 INTLPeoria Javelinas — 5245 7000 790 24 156269156425 194 1713 216 32 — — — — — —
201120 A+Lancaster JetHawks — 350315 811743 29731 1711 257322365687 108321 218 306 53 — — — — — —
201120 ALexington Legends — 144123 25700 13325 62 203305260565 57269 229 264 31 — — — — — —
201120 INTLSalt River Rafters — 5245 14410 690 41 311392444837 133378 1712 367 134 — — — — — —
201221 ALexington Legends — 5951 13110 741 50 255356314670 59277 712 313 74 — — — — — —
201928 AAAPiratas de Campeche — 485434 14323315 39542 318 329387500887 171347 118 385 98 — — — — — —
201928 INTLTigres de Aragua — 161146 48541 12201 136 329384438822 110373 127 363 132 — — — — — —
202029 INTLMayos de Navojoa — 6155 10200 392 11 182250218468 36213 155 219 35 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200817 ROK MLEGreeneville Astros — 235219 32310 12984 146 146204169373 23260 425 172 3 — — — — — —
200918 A MLELexington Legends — 435407 1011961 211040 2313 248285332617 84326 245 267 67 — — — — — —
201019 A+ MLELancaster JetHawks — 587540 1171999 311783 5420 217263335598 119292 305 255 59 — — — — — —
201120 A+ MLELancaster JetHawks — 350324 701233 201021 1711 216264299563 83292 296 246 53 — — — — — —
201120 A MLELexington Legends — 144127 22600 9435 62 173255220476 47244 306 214 31 — — — — — —
201221 A MLELexington Legends — 5954 13110 451 50 241305296601 56270 87 277 74 — — — — — —
201928 AAA MLEPiratas de Campeche — 485450 1291939 23612 318 287324402726 116303 135 313 98 — — — — — —
200817 ROK MLEGreeneville Astros — 235219 32310 12984 146 146204169373 23264 425 172 3 — — — — — —
200817 ROK RAWGreeneville Astros — 235212 42420 19694 146 198277236512 38294 298 243 3 — — — — — —
200918 A MLELexington Legends — 435407 1011961 211040 2313 248285332617 84331 245 267 67 — — — — — —
200918 A RAWLexington Legends — 435397 1062261 31780 2313 267320360680 93330 187 302 67 — — — — — —
201019 A+ MLE2 teams — 639589 12721109 341943 5624 216262331593 115303 305 255 59 — — — — — —
201019 A+ RAW2 teams — 639577 146251310 461353 5624 253312393705 140313 217 308 59 — — — — — —
201120 A+ MLE3 teams — 546499 1012033 321606 2714 202259273531 70286 296 237 46 — — — — — —
201120 A+ RAW3 teams — 546483 1202853 481146 2714 248324346670 97314 219 301 46 — — — — — —
201221 A MLELexington Legends — 5954 13110 451 50 241305296601 56265 87 277 74 — — — — — —
201221 A RAWLexington Legends — 5951 13110 741 50 255356314670 59277 712 313 74 — — — — — —
201928 AAA MLE2 teams — 646601 17226412 30813 4414 286323403726 116312 135 313 98 — — — — — —
201928 AAA RAW2 teams — 646580 19128716 51743 4414 329386484871 155354 118 379 98 — — — — — —
202029 INTL MLEMayos de Navojoa — 6155 10200 392 11 182250218468 36213 155 — — — — — — — —
202029 INTL RAWMayos de Navojoa — 6155 10200 392 11 182250218468 36213 155 219 35 — — — — — —
200817 ROK MLEGreeneville Astros — 235217 32310 12984 146 147204171375 23260 425 172 3 — — — — — —
200918 A MLELexington Legends — 435411 1011961 211040 2313 246285328614 83326 245 267 67 — — — — — —
201019 A+ MLE2 teams — 639597 12721109 341943 5624 213262327589 114292 305 255 59 — — — — — —
201120 A+ MLE3 teams — 546503 1012033 321606 2714 201259270529 70278 296 237 46 — — — — — —
201221 A MLELexington Legends — 5954 13110 451 50 241305296601 56270 87 277 74 — — — — — —
201928 AAA MLE2 teams — 646608 17226412 30813 4414 283323398721 115303 135 313 98 — — — — — —
▸ Career Totals
Career— MLE — 26212424 556922525 13665119 17072 229276319595 90301 255 255 58 -130 +5 +0 -16 +57 -8.5
/ 162G— MLE — 650601 1382366 341615 4218 230277318594 88301 255 255 58 -32 +1 +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.

2019 AAAPiratas de Campeche · 485 PAwOBA .375 → .313 (−61)K% 11.1% → 12.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.13%÷1.071×1.200——12.47%
BB% (unintentional) /PA7.22%÷1.033×0.690—×0.9824.73%
HBP% /PA0.41%—×0.940—×0.9820.38%
Singles /BIP26.84%÷0.954×0.930×0.950×0.98224.40%
Doubles /BIP6.05%÷0.971×0.830×0.950×0.9824.83%
Triples /BIP0.79%÷0.987×0.920×0.950×0.9820.69%
Home runs /BIP3.95%÷1.196×0.700—×0.9822.27%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 139, 1B 91, 2B 94, 3B 97, K 114, BB 107 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .375 → .313; ISO .171 → .120; BABIP .347 → .303. 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 ALexington Legends · 59 PAwOBA .299 → .277 (−23)K% 6.8% → 8.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA6.78%÷1.046×1.340——8.68%
BB% (unintentional) /PA10.17%÷1.016×0.660——6.60%
HBP% /PA1.69%—×0.770——1.31%
Singles /BIP23.40%÷0.992×0.920×1.050—22.79%
Doubles /BIP2.13%÷0.998×0.820×1.050—1.84%
Triples /BIP2.13%÷0.900×0.940×1.050—2.33%
Home runs /BIP0.00%÷1.064×0.820——0.00%

Factors used: league row SAL. Park (home-season share, regressed): HR 113, 1B 98, 2B 100, 3B 80, K 109, BB 103 — 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 .299 → .277; ISO .059 → .063; BABIP .277 → .270. 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).

2011 A+Lancaster JetHawks · 350 PAwOBA .302 → .246 (−56)K% 20.9% → 29.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.86%÷0.960×1.340——29.12%
BB% (unintentional) /PA8.29%÷1.063×0.710—×1.0275.69%
HBP% /PA0.29%—×0.790—×1.0270.23%
Singles /BIP23.55%÷1.006×0.910×1.038×1.02722.72%
Doubles /BIP7.02%÷1.132×0.820×1.038×1.0275.42%
Triples /BIP1.65%÷1.100×0.760×1.038×1.0271.22%
Home runs /BIP1.24%÷0.957×0.920—×1.0271.22%

Factors used: league row CAL. Park (home-season share, regressed): HR 91, 1B 101, 2B 126, 3B 120, K 92, BB 113 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.038.

Result: wOBA .302 → .246; ISO .108 → .083; BABIP .321 → .292. 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).

2011 ALexington Legends · 144 PAwOBA .262 → .214 (−47)K% 22.2% → 29.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.22%÷0.998×1.340——29.84%
BB% (unintentional) /PA9.03%÷0.996×0.660—×1.0156.08%
HBP% /PA3.47%—×0.770—×1.0152.71%
Singles /BIP19.78%÷1.006×0.920×0.989×1.01518.16%
Doubles /BIP7.69%÷0.939×0.820×0.989×1.0156.75%
Triples /BIP0.00%÷1.034×0.940×0.989×1.0150.00%
Home runs /BIP0.00%÷1.002×0.820—×1.0150.00%

Factors used: league row SAL. Park (home-season share, regressed): HR 100, 1B 101, 2B 88, 3B 107, K 100, BB 99 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.989.

Result: wOBA .262 → .214; ISO .057 → .048; BABIP .269 → .244. 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).

2010 A+Lancaster JetHawks · 587 PAwOBA .309 → .255 (−54)K% 21.5% → 30.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.47%÷0.945×1.340——30.44%
BB% (unintentional) /PA6.64%÷0.932×0.710—×1.0425.27%
HBP% /PA0.51%—×0.790—×1.0420.42%
Singles /BIP22.41%÷1.051×0.910×1.050×1.04221.23%
Doubles /BIP6.16%÷1.077×0.820×1.050×1.0425.13%
Triples /BIP3.20%÷1.094×0.760×1.050×1.0422.43%
Home runs /BIP2.46%÷1.017×0.920—×1.0422.32%

Factors used: league row CAL. Park (home-season share, regressed): HR 103, 1B 110, 2B 115, 3B 119, K 89, BB 86 — 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 ×1.050.

Result: wOBA .309 → .255; ISO .152 → .120; BABIP .323 → .292. 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).

2009 ALexington Legends · 435 PAwOBA .293 → .267 (−27)K% 17.9% → 24.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.93%÷1.000×1.340——24.03%
BB% (unintentional) /PA6.90%÷1.000×0.660—×1.0454.76%
HBP% /PA0.00%—×0.770—×1.0450.00%
Singles /BIP24.14%÷1.000×0.920×1.050×1.04524.37%
Doubles /BIP6.90%÷1.000×0.820×1.050×1.0456.21%
Triples /BIP1.88%÷1.000×0.940×1.050×1.0451.94%
Home runs /BIP0.31%÷1.000×0.820—×1.0450.27%

Factors used: league row SAL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.050.

Result: wOBA .293 → .267; ISO .093 → .085; BABIP .330 → .326. 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).

2008 ROKGreeneville Astros · 235 PAwOBA .237 → .172 (−65)K% 29.4% → 41.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA29.36%÷1.000×1.420——41.69%
BB% (unintentional) /PA8.09%÷1.000×0.640—×1.0225.29%
HBP% /PA1.70%—×0.740—×1.0221.29%
Singles /BIP25.17%÷1.000×0.840×1.050×1.02222.70%
Doubles /BIP2.80%÷1.000×0.740×1.050×1.0222.22%
Triples /BIP1.40%÷1.000×0.740×1.050×1.0221.11%
Home runs /BIP0.00%÷1.000×0.800—×1.0220.00%

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 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .237 → .172; ISO .038 → .025; BABIP .294 → .260. 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 — .