Jordy Barley

PosSS
B/TR/R
Born1999-12-03
Age (2027)27
No MLB projection yet. Career stats below are historical.
Overview
AALAST SEASON 2024
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202222A+WSH319.203/.259/.2882342—.145/.183/.201
202323AAA/A+WSH263.240/.314/.36153136—.183/.236/.278
202424AAWSH129.157/.289/.23121019—.139/.227/.209
Contract
No contract data on file.
Skills · percentileMiLB Statcast 2024 AA
BB%95
Speed56
Chase%45
ISO21
wRC+18
wOBA16

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)
201717 ROKAZL Padres — 195182 441164 11652 72 242292434726 192354 336 318 13 — — — — — —
201818 ROKAZL Padres 2 — 218195 39924 15595 127 200274328603 128259 277 271 6 — — — — — —
201919 INTLCanberra Cavalry — 6762 17312 5190 40 274328452780 177366 287 344 119 — — — — — —
202121 AFredericksburg Nationals — 420364 8314210 481256 4511 228328360688 132316 3011 313 36 — — — — — —
202222 A+Wilmington Blue Rocks — 319295 601142 221000 344 203259288547 85297 317 248 2 — — — — — —
202323 AAARochester Red Wings — 6053 15002 6240 92 283356396752 113481 4010 335 63 — — — — — —
202323 A+Wilmington Blue Rocks — 203180 41923 17672 223 228302350652 122336 338 290 28 — — — — — —
202424 AAHarrisburg Senators — 129108 17202 20440 103 157289231521 74242 3416 252 19 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201717 ROK MLEAZL Padres — 195186 27633 7942 72 145185258443 113265 484 188 13 — — — — — —
201818 ROK MLEAZL Padres 2 — 218201 27613 9855 127 134191219410 85196 394 177 6 — — — — — —
202121 A MLEFredericksburg Nationals — 420383 651126 291766 4511 170239256495 86282 427 221 36 — — — — — —
202222 A+ MLEWilmington Blue Rocks — 319303 44831 141310 344 145183201384 56244 414 171 2 — — — — — —
202323 AAA MLERochester Red Wings — 6054 12001 5290 92 222288278566 56461 488 262 63 — — — — — —
202323 A+ MLEWilmington Blue Rocks — 203187 32723 10902 223 171221278499 107281 445 209 28 — — — — — —
202424 AA MLEHarrisburg Senators — 129115 16202 13530 103 139227209435 70231 4110 196 19 — — — — — —
201717 ROK MLEAZL Padres — 195186 27633 7942 72 145185258443 113270 484 188 13 — — — — — —
201717 ROK RAWAZL Padres — 195182 441164 11652 72 242292434726 192354 336 318 13 — — — — — —
201818 ROK MLEAZL Padres 2 — 218201 27613 9855 127 134191219410 85207 394 177 6 — — — — — —
201818 ROK RAWAZL Padres 2 — 218195 39924 15595 127 200274328603 128259 277 271 6 — — — — — —
201919 INTL MLECanberra Cavalry — 6762 17312 5190 40 274328452780 177366 287 — — — — — — — —
201919 INTL RAWCanberra Cavalry — 6762 17312 5190 40 274328452780 177366 287 344 119 — — — — — —
202121 A MLEFredericksburg Nationals — 420383 651126 291766 4511 170239256495 86291 427 221 36 — — — — — —
202121 A RAWFredericksburg Nationals — 420364 8314210 481256 4511 228328360688 132316 3011 313 36 — — — — — —
202222 A+ MLEWilmington Blue Rocks — 319303 44831 141310 344 145183201384 56249 414 171 2 — — — — — —
202222 A+ RAWWilmington Blue Rocks — 319295 601142 221000 344 203259288547 85297 317 248 2 — — — — — —
202323 A+ MLE2 teams — 263241 45724 151202 315 187240282522 95342 466 221 36 — — — — — —
202323 A+ RAW2 teams — 263233 56925 23912 315 240314361674 120364 359 300 36 — — — — — —
202424 AA MLEHarrisburg Senators — 129115 16202 13530 103 139227209435 70233 4110 196 19 — — — — — —
202424 AA RAWHarrisburg Senators — 129108 17202 20440 103 157289231521 74242 3416 252 19 — — — — — —
201717 ROK MLEAZL Padres — 195184 27633 7942 72 147185261445 114265 484 188 13 — — — — — —
201818 ROK MLEAZL Padres 2 — 218202 27613 9855 127 134191218409 84196 394 177 6 — — — — — —
202121 A MLEFredericksburg Nationals — 420382 651126 291766 4511 170239257496 86282 427 221 36 — — — — — —
202222 A+ MLEWilmington Blue Rocks — 319302 44831 141310 344 146183202385 56244 414 171 2 — — — — — —
202323 A+ MLE2 teams — 263244 45724 151202 315 184240279519 94322 466 221 36 — — — — — —
202424 AA MLEHarrisburg Senators — 129115 16202 13530 103 139227209435 70231 4110 196 19 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202424 AA MLEHarrisburg Senators — 129115 16202 13530 103 139227209435 70231 4110 196 19 — — — — — —
▸ Career Totals
Career— MLE — 16111491 241431221 9267815 14332 162218249467 87274 426 190 15 -163 +16 +0 +17 +35 -9.7
/ 162G— MLE — 650602 971758 372746 5813 161217246463 85275 426 190 15 -66 +6 +0 +7 +14 -3.9

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.

2024 AAHarrisburg Senators · 129 PAwOBA .246 → .196 (−50)K% 34.1% → 41.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA34.11%÷1.008×1.220——41.27%
BB% (unintentional) /PA15.50%÷1.051×0.700—×0.99810.30%
HBP% /PA0.00%—×0.850—×0.9980.00%
Singles /BIP20.31%÷1.010×0.970×1.011×0.99819.68%
Doubles /BIP3.12%÷0.964×0.860×1.011×0.9982.81%
Triples /BIP0.00%÷0.915×0.950×1.011×0.9980.00%
Home runs /BIP3.12%÷0.990×0.780—×0.9982.46%

Factors used: league row EL. Park (home-season share, regressed): HR 98, 1B 102, 2B 93, 3B 83, K 102, BB 110 — 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 ×1.011.

Result: wOBA .246 → .196; ISO .074 → .059; BABIP .242 → .231. 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).

2023 A+Wilmington Blue Rocks · 203 PAwOBA .286 → .209 (−77)K% 33.0% → 44.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA33.00%÷0.973×1.310——44.45%
BB% (unintentional) /PA8.37%÷1.005×0.600—×0.9884.94%
HBP% /PA0.99%—×0.770—×0.9880.75%
Singles /BIP23.89%÷0.981×0.870×0.958×0.98820.07%
Doubles /BIP7.96%÷0.894×0.780×0.958×0.9886.58%
Triples /BIP1.77%÷0.913×0.850×0.958×0.9881.56%
Home runs /BIP2.65%÷0.913×0.880—×0.9882.53%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 83, 1B 96, 2B 79, 3B 83, K 95, BB 101 — 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 ×0.958.

Result: wOBA .286 → .209; ISO .122 → .097; BABIP .336 → .281. 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).

2023 AAARochester Red Wings · 60 PAwOBA .326 → .262 (−65)K% 40.0% → 49.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA40.00%÷0.980×1.200——48.97%
BB% (unintentional) /PA10.00%÷0.956×0.690—×1.0487.56%
HBP% /PA0.00%—×0.940—×1.0480.00%
Singles /BIP44.83%÷0.996×0.930—×1.04843.89%
Doubles /BIP0.00%÷1.137×0.830—×1.0480.00%
Triples /BIP0.00%÷1.150×0.970—×1.0480.00%
Home runs /BIP6.90%÷1.058×0.700—×1.0484.78%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 99, 2B 127, 3B 130, K 96, BB 91 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average).

Result: wOBA .326 → .262; ISO .113 → .071; BABIP .481 → .461. 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 A+Wilmington Blue Rocks · 319 PAwOBA .243 → .171 (−72)K% 31.3% → 41.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA31.35%÷0.998×1.310——41.14%
BB% (unintentional) /PA6.90%÷0.963×0.600—×0.9984.29%
HBP% /PA0.00%—×0.770—×0.9980.00%
Singles /BIP22.05%÷0.990×0.870×0.965×0.99818.67%
Doubles /BIP5.64%÷0.974×0.780×0.965×0.9984.35%
Triples /BIP2.05%÷1.150×0.850×0.965×0.9981.46%
Home runs /BIP1.03%÷1.114×0.880—×0.9980.81%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 123, 1B 98, 2B 95, 3B 130, K 100, BB 93 — 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 ×0.965.

Result: wOBA .243 → .171; ISO .085 → .057; BABIP .297 → .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).

2021 AFredericksburg Nationals · 420 PAwOBA .305 → .221 (−84)K% 29.8% → 41.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA29.76%÷0.967×1.360——41.85%
BB% (unintentional) /PA10.95%÷1.100×0.690——6.87%
HBP% /PA1.43%—×0.780——1.11%
Singles /BIP23.85%÷1.006×0.920×0.993—21.65%
Doubles /BIP5.86%÷0.942×0.830×0.993—5.12%
Triples /BIP0.84%÷0.901×0.910×0.993—0.84%
Home runs /BIP4.18%÷1.159×0.800——2.89%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 132, 1B 101, 2B 88, 3B 80, K 93, BB 120 — 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 ×0.993.

Result: wOBA .305 → .221; ISO .132 → .090; BABIP .316 → .282. 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 Padres 2 · 218 PAwOBA .265 → .177 (−88)K% 27.1% → 39.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.06%÷1.000×1.440——38.97%
BB% (unintentional) /PA6.42%÷1.000×0.620—×1.0084.01%
HBP% /PA2.29%—×0.720—×1.0081.66%
Singles /BIP17.65%÷1.000×0.820×0.960×1.00813.99%
Doubles /BIP6.62%÷1.000×0.720×0.960×1.0084.61%
Triples /BIP1.47%÷1.000×0.720×0.960×1.0081.02%
Home runs /BIP2.94%÷1.000×0.780—×1.0082.31%

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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.960.

Result: wOBA .265 → .177; ISO .128 → .084; BABIP .259 → .196. 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 ROKAZL Padres · 195 PAwOBA .310 → .188 (−122)K% 33.3% → 48.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA33.33%÷1.000×1.440——48.00%
BB% (unintentional) /PA5.64%÷1.000×0.620—×1.0223.58%
HBP% /PA1.03%—×0.720—×1.0220.76%
Singles /BIP19.66%÷1.000×0.820×0.950×1.02215.66%
Doubles /BIP9.40%÷1.000×0.720×0.950×1.0226.58%
Triples /BIP5.13%÷1.000×0.720×0.950×1.0223.59%
Home runs /BIP3.42%÷1.000×0.780—×1.0222.73%

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 ×0.950.

Result: wOBA .310 → .188; ISO .192 → .112; BABIP .354 → .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).

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