Jarryd Dale

PosSS
B/TR/R
Born2000-09-11
Age (2027)26
No MLB projection yet. Career stats below are historical.
Overview
INTLLAST SEASON 2024
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202221AAA/A+/INTL2 orgs694.214/.317/.30173150—.169/.261/.229
202322A+/ROK/INTL2 orgs199.291/.369/.40021093—.181/.262/.320
202423AA/A+/INTL2 orgs263.283/.336/.40561090—.141/.184/.230
Contract
No contract data on file.
Skills · percentileMiLB Statcast 2024 AA
ISO58
Speed26
K%22
Z-Con%12
Whiff%11
wRC+5

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)
201615 INTLMelbourne Aces — 7068 14201 1190 11 206217279497 74271 271 219 34 — — — — — —
201716 INTLMelbourne Aces — 158147 39713 10420 22 265312388700 122353 276 311 97 — — — — — —
201817 ROKAZL Padres 2 — 131120 22600 7474 31 183252233485 50301 365 229 -20 — — — — — —
201817 INTLMelbourne Aces — 10894 17200 11241 41 181274202476 21239 2210 227 40 — — — — — —
201918 ROKAZL Padres 2 — 123113 34500 8362 61 301358345703 44442 297 323 29 — — — — — —
201918 INTLMelbourne Aces — 9792 18201 5330 22 196237250487 54293 345 224 38 — — — — — —
202019 INTLMelbourne Aces — 8880 21302 3230 41 263289375664 112339 263 279 75 — — — — — —
202120 ALake Elsinore Storm — 446402 1082326 321096 318 269332381712 112352 247 318 49 — — — — — —
202221 AAAEl Paso Chihuahuas — 3327 6200 570 00 222344296640 74286 2115 293 53 — — — — — —
202221 A+Fort Wayne TinCaps — 519435 861734 741304 277 198320278598 80269 2514 281 40 — — — — — —
202221 INTLMelbourne Aces — 142132 35603 6351 42 265302379681 114337 254 299 88 — — — — — —
202322 A+Fort Wayne TinCaps — 4537 8401 6172 11 216356405761 189368 3813 346 55 — — — — — —
202322 ROKACL Padres — 3531 8310 450 60 258343419762 161308 1411 339 41 — — — — — —
202322 INTLMelbourne Aces — 119107 35401 8222 33 327381393774 65405 187 348 122 — — — — — —
202423 AASan Antonio Missions — 9385 12203 3282 11 141189271459 129164 303 201 -2 — — — — — —
202423 A+Fort Wayne TinCaps — 2926 7010 3100 10 269345346691 77438 3410 315 42 — — — — — —
202423 INTLMelbourne Aces — 141126 48703 10221 83 381431508939 127441 167 407 161 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201817 ROK MLEAZL Padres 2 — 131123 13300 4684 31 106160130290 24239 523 139 -20 — — — — — —
201918 ROK MLEAZL Padres 2 — 123117 23300 4522 61 197236222458 26358 423 211 29 — — — — — —
202120 A MLELake Elsinore Storm — 446413 861625 211596 318 208257293550 85310 365 241 49 — — — — — —
202221 AAA MLEEl Paso Chihuahuas — 3328 6200 490 00 214312286598 71251 2712 246 53 — — — — — —
202221 A+ MLEFort Wayne TinCaps — 519457 761423 521674 277 166257225483 59248 3210 227 40 — — — — — —
202322 A+ MLEFort Wayne TinCaps — 4539 7301 4212 11 179289333622 154303 479 250 55 — — — — — —
202322 ROK MLEACL Padres — 3533 6210 270 60 182229303532 121230 206 229 41 — — — — — —
202423 AA MLESan Antonio Missions — 9386 10202 2352 11 116156209365 93148 382 165 -2 — — — — — —
202423 A+ MLEFort Wayne TinCaps — 2927 6010 2130 10 222276296572 74390 457 231 42 — — — — — —
201615 INTL MLEMelbourne Aces — 7068 14201 1190 11 206217279497 74271 271 — — — — — — — —
201615 INTL RAWMelbourne Aces — 7068 14201 1190 11 206217279497 74271 271 219 34 — — — — — —
201716 INTL MLEMelbourne Aces — 158147 39713 10420 22 265312388700 122353 276 — — — — — — — —
201716 INTL RAWMelbourne Aces — 158147 39713 10420 22 265312388700 122353 276 311 97 — — — — — —
201817 ROK MLE2 teams — 239224 24600 81245 72 107156134290 27238 523 139 -20 — — — — — —
201817 ROK RAW2 teams — 239214 39800 18715 72 182262220481 37271 308 228 -20 — — — — — —
201918 ROK MLE2 teams — 220210 42600 8932 83 200236229465 29359 424 211 29 — — — — — —
201918 ROK RAW2 teams — 220205 52701 13692 83 254305302607 49378 316 279 29 — — — — — —
202019 INTL MLEMelbourne Aces — 8880 21302 3230 41 263289375664 112339 263 — — — — — — — —
202019 INTL RAWMelbourne Aces — 8880 21302 3230 41 263289375664 112339 263 279 75 — — — — — —
202120 A MLELake Elsinore Storm — 446413 861625 211596 318 208257293550 85321 365 241 49 — — — — — —
202120 A RAWLake Elsinore Storm — 446402 1082326 321096 318 269332381712 112352 247 318 49 — — — — — —
202221 A+ MLE3 teams — 694608 1032034 712205 319 169262232494 62254 3210 228 41 — — — — — —
202221 A+ RAW3 teams — 694594 1272537 851725 319 214317301619 88285 2512 285 41 — — — — — —
202322 INTL MLE3 teams — 199177 291122 17714 104 164253282535 119260 369 241 49 — — — — — —
202322 INTL RAW3 teams — 199175 511112 18444 104 291369400769 109380 229 346 49 — — — — — —
202423 INTL MLE3 teams — 263244 34415 91023 104 139180225405 86209 393 181 8 — — — — — —
202423 INTL RAW3 teams — 263237 67916 16603 104 283336405741 122353 236 324 8 — — — — — —
201817 ROK MLE2 teams — 239224 24600 81245 72 107156134290 27239 523 139 -20 — — — — — —
201918 ROK MLE2 teams — 220208 42600 8932 83 202236231467 29358 424 211 29 — — — — — —
202120 A MLELake Elsinore Storm — 446416 861625 211596 318 207257291548 84310 365 241 49 — — — — — —
202221 A+ MLE3 teams — 694613 1032034 712205 319 168262230492 62248 3210 228 41 — — — — — —
202322 INTL MLE3 teams — 199176 291122 17714 104 165253284537 119271 369 241 49 — — — — — —
202423 INTL MLE3 teams — 263249 34415 91023 104 137180221401 84206 393 181 8 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202423 INTL MLE3 teams — 263249 34415 91023 104 137180221401 84206 393 181 8 — — — — — —
▸ Career Totals
Career— MLE — 23772171 39275922 14885325 10434 181241254495 73283 366 185 12 -250 +7 +0 +25 +52 -16.9
/ 162G— MLE — 650594 1072126 402337 289 180240253493 72281 366 185 12 -68 +2 +0 +7 +14 -4.6

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 AASan Antonio Missions · 93 PAwOBA .198 → .165 (−33)K% 30.1% → 37.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA30.11%÷0.987×1.220——37.22%
BB% (unintentional) /PA3.23%÷0.987×0.700—×1.0122.32%
HBP% /PA2.15%—×0.870—×1.0121.89%
Singles /BIP12.28%÷1.015×0.920×1.002×1.01211.28%
Doubles /BIP3.51%÷0.957×0.840×1.002×1.0123.12%
Triples /BIP0.00%÷1.150×0.940×1.002×1.0120.00%
Home runs /BIP5.26%÷0.953×0.800—×1.0124.47%

Factors used: league row TL. Park (home-season share, regressed): HR 91, 1B 103, 2B 91, 3B 130, K 97, BB 97 — 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 ×1.002.

Result: wOBA .198 → .165; ISO .129 → .106; BABIP .164 → .148. 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).

2024 A+Fort Wayne TinCaps · 29 PAwOBA .308 → .231 (−77)K% 34.5% → 44.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA34.48%÷0.982×1.270——44.59%
BB% (unintentional) /PA10.34%÷1.043×0.710—×0.9886.96%
HBP% /PA0.00%—×0.790—×0.9880.00%
Singles /BIP37.50%÷0.997×0.920—×0.98834.18%
Doubles /BIP0.00%÷0.973×0.810—×0.9880.00%
Triples /BIP6.25%÷1.082×0.850—×0.9884.85%
Home runs /BIP0.00%÷0.916×0.800—×0.9880.00%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 83, 1B 99, 2B 95, 3B 116, K 96, 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).

Result: wOBA .308 → .231; ISO .077 → .052; BABIP .438 → .390. 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+Fort Wayne TinCaps · 45 PAwOBA .338 → .250 (−88)K% 37.8% → 47.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA37.78%÷1.014×1.270——47.33%
BB% (unintentional) /PA13.33%÷0.983×0.710—×0.9989.61%
HBP% /PA4.44%—×0.790—×0.9983.50%
Singles /BIP15.00%÷0.956×0.920—×0.99814.41%
Doubles /BIP20.00%÷1.118×0.810—×0.99814.47%
Triples /BIP0.00%÷1.150×0.850—×0.9980.00%
Home runs /BIP5.00%÷0.848×0.800—×0.9984.71%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 70, 1B 91, 2B 124, 3B 130, K 103, BB 97 — 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).

Result: wOBA .338 → .250; ISO .189 → .138; BABIP .368 → .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).

2023 ROKACL Padres · 35 PAwOBA .331 → .229 (−102)K% 14.3% → 20.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.29%÷0.983×1.440——20.93%
BB% (unintentional) /PA11.43%÷0.972×0.620—×0.9657.03%
HBP% /PA0.00%—×0.720—×0.9650.00%
Singles /BIP15.38%÷1.006×0.820—×0.96512.10%
Doubles /BIP11.54%÷1.001×0.720—×0.9658.01%
Triples /BIP3.85%÷0.931×0.720—×0.9652.87%
Home runs /BIP0.00%÷0.912×0.780—×0.9650.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 82, 1B 101, 2B 100, 3B 86, K 97, BB 94 — applied at half strength. Age: age 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average).

Result: wOBA .331 → .229; ISO .161 → .112; BABIP .308 → .230. 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+Fort Wayne TinCaps · 519 PAwOBA .276 → .227 (−49)K% 25.0% → 32.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.05%÷0.992×1.270——32.06%
BB% (unintentional) /PA14.26%÷1.011×0.710—×1.01210.13%
HBP% /PA0.77%—×0.790—×1.0120.62%
Singles /BIP20.33%÷0.982×0.920×0.996×1.01219.20%
Doubles /BIP5.57%÷0.935×0.810×0.996×1.0124.86%
Triples /BIP0.98%÷1.150×0.850×0.996×1.0120.73%
Home runs /BIP1.31%÷0.920×0.800—×1.0121.15%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 84, 1B 96, 2B 87, 3B 130, K 98, BB 102 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.996.

Result: wOBA .276 → .227; ISO .080 → .067; BABIP .269 → .248. 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 AAAEl Paso Chihuahuas · 33 PAwOBA .296 → .246 (−50)K% 21.2% → 26.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.21%÷0.959×1.200——26.56%
BB% (unintentional) /PA15.15%÷0.990×0.690—×1.05011.09%
HBP% /PA0.00%—×0.940—×1.0500.00%
Singles /BIP20.00%÷1.047×0.930—×1.05018.66%
Doubles /BIP10.00%÷1.133×0.830—×1.0507.69%
Triples /BIP0.00%÷1.002×0.970—×1.0500.00%
Home runs /BIP0.00%÷1.138×0.700—×1.0500.00%

Factors used: league row International League. Park (home-season share, regressed): HR 128, 1B 109, 2B 127, 3B 100, K 92, BB 98 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average).

Result: wOBA .296 → .246; ISO .074 → .059; BABIP .286 → .251. 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 ALake Elsinore Storm · 446 PAwOBA .311 → .241 (−70)K% 24.4% → 35.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.44%÷0.932×1.360——35.67%
BB% (unintentional) /PA6.95%÷1.012×0.690—×1.0154.81%
HBP% /PA1.35%—×0.780—×1.0151.07%
Singles /BIP26.28%÷1.002×0.920×0.980×1.01523.99%
Doubles /BIP7.85%÷1.053×0.830×0.980×1.0156.15%
Triples /BIP0.68%÷1.028×0.910×0.980×1.0150.60%
Home runs /BIP2.05%÷0.815×0.800—×1.0152.04%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 63, 1B 100, 2B 111, 3B 106, K 86, BB 102 — 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 ×0.980.

Result: wOBA .311 → .241; ISO .112 → .087; BABIP .352 → .310. 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 ROKAZL Padres 2 · 123 PAwOBA .312 → .211 (−100)K% 29.3% → 42.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA29.27%÷1.000×1.440——42.15%
BB% (unintentional) /PA5.69%÷1.000×0.620—×1.0083.55%
HBP% /PA1.63%—×0.720—×1.0081.18%
Singles /BIP37.66%÷1.000×0.820—×1.00831.11%
Doubles /BIP6.49%÷1.000×0.720—×1.0084.71%
Triples /BIP0.00%÷1.000×0.720—×1.0080.00%
Home runs /BIP0.00%÷1.000×0.780—×1.0080.00%

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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average).

Result: wOBA .312 → .211; ISO .044 → .027; BABIP .442 → .358. 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 — .