Daniel Padilla

PosRF
B/TR/R
Born1997-02-16
Age (2027)30
No MLB projection yet. Career stats below are historical.
Overview
ROKLAST SEASON 2017
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201518ROKLAD182.321/.390/.39021249—.227/.288/.264
201619ROKDSL Dodgers 1207.279/.408/.34502153—.199/.299/.244
201720ROKAZL Dodgers34.185/.353/.2590227—.138/.265/.207
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)
201417 ROKDSL Dodgers — 169147 37140 14273 106 252329313642 61306 168 288 26 — — — — — —
201518 ROKDSL Dodgers — 182159 51122 15333 122 321390390780 69389 188 346 49 — — — — — —
201619 ROKDSL Dodgers 1 — 207165 46910 35311 218 279408345753 67336 1517 343 53 — — — — — —
201720 ROKAZL Dodgers — 3427 5010 661 20 185353259612 74238 1818 299 27 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201417 ROK MLEDSL Dodgers — 169151 28130 10333 106 185250232482 46220 206 206 26 — — — — — —
201518 ROK MLEDSL Dodgers — 182163 37111 11403 122 227288264552 37276 226 241 49 — — — — — —
201619 ROK MLEDSL Dodgers 1 — 207176 35610 24381 218 199299244543 45233 1812 246 53 — — — — — —
201720 ROK MLEAZL Dodgers — 3429 4010 491 20 138265207472 69190 2612 208 27 — — — — — —
201417 ROK MLEDSL Dodgers — 169151 28130 10333 106 185250232482 46235 206 206 26 — — — — — —
201417 ROK RAWDSL Dodgers — 169147 37140 14273 106 252329313642 61306 168 288 26 — — — — — —
201518 ROK MLEDSL Dodgers — 182163 37111 11403 122 227288264552 37290 226 241 49 — — — — — —
201518 ROK RAWDSL Dodgers — 182159 51122 15333 122 321390390780 69389 188 346 49 — — — — — —
201619 ROK MLEDSL Dodgers 1 — 207176 35610 24381 218 199299244543 45248 1812 246 53 — — — — — —
201619 ROK RAWDSL Dodgers 1 — 207165 46910 35311 218 279408345753 67336 1517 343 53 — — — — — —
201720 ROK MLEAZL Dodgers — 3429 4010 491 20 138265207472 69200 2612 208 27 — — — — — —
201720 ROK RAWAZL Dodgers — 3427 5010 661 20 185353259612 74238 1818 299 27 — — — — — —
201417 ROK MLEDSL Dodgers — 169154 28130 10333 106 182250227477 45220 206 206 26 — — — — — —
201518 ROK MLEDSL Dodgers — 182166 37111 11403 122 223288259547 36276 226 241 49 — — — — — —
201619 ROK MLEDSL Dodgers 1 — 207180 35610 24381 218 194299239537 44233 1812 246 53 — — — — — —
201720 ROK MLEAZL Dodgers — 3429 4010 491 20 138265207472 69190 2612 208 27 — — — — — —
▸ Career Totals
Career— MLE — 592519 104861 491208 4516 200280245524 44255 208 231 42 -41 +3 +0 -6 +13 -3.2
/ 162G— MLE — 650570 115971 541329 4918 202282247529 46257 208 231 42 -45 +3 +0 -7 +14 -3.6

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.

2017 ROKAZL Dodgers · 34 PAwOBA .293 → .208 (−85)K% 17.6% → 25.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.65%÷1.000×1.440——25.41%
BB% (unintentional) /PA17.65%÷1.000×0.620—×0.99510.89%
HBP% /PA2.94%—×0.720—×0.9952.11%
Singles /BIP19.05%÷1.000×0.820—×0.99515.54%
Doubles /BIP0.00%÷1.000×0.720—×0.9950.00%
Triples /BIP4.76%÷1.000×0.720—×0.9953.41%
Home runs /BIP0.00%÷1.000×0.780—×0.9950.00%

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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average).

Result: wOBA .293 → .208; ISO .074 → .053; BABIP .238 → .190. 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 DSLDSL Dodgers 1 · 207 PAwOBA .340 → .246 (−94)K% 15.0% → 18.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.98%÷1.000×1.220——18.27%
BB% (unintentional) /PA16.91%÷1.000×0.700—×0.99511.78%
HBP% /PA0.48%—×0.700—×0.9950.34%
Singles /BIP26.87%÷1.000×0.680×1.050×0.99519.09%
Doubles /BIP6.72%÷1.000×0.600×1.050×0.9954.21%
Triples /BIP0.75%÷1.000×0.600×1.050×0.9950.47%
Home runs /BIP0.00%÷1.000×0.470—×0.9950.00%

Factors used: level-wide DSL 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 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .340 → .246; ISO .067 → .045; BABIP .336 → .233. 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 DSLDSL Dodgers · 182 PAwOBA .341 → .241 (−100)K% 18.1% → 22.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.13%÷1.000×1.220——22.12%
BB% (unintentional) /PA8.24%÷1.000×0.700—×1.0085.81%
HBP% /PA1.65%—×0.700—×1.0081.16%
Singles /BIP36.51%÷1.000×0.680×1.050×1.00826.26%
Doubles /BIP0.79%÷1.000×0.600×1.050×1.0080.50%
Triples /BIP1.59%÷1.000×0.600×1.050×1.0081.01%
Home runs /BIP1.59%÷1.000×0.470—×1.0080.75%

Factors used: level-wide DSL 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 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .341 → .241; ISO .069 → .039; BABIP .389 → .276. 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 DSLDSL Dodgers · 169 PAwOBA .283 → .206 (−76)K% 16.0% → 19.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.98%÷1.000×1.220——19.49%
BB% (unintentional) /PA8.28%÷1.000×0.700—×1.0225.93%
HBP% /PA1.78%—×0.700—×1.0221.27%
Singles /BIP26.67%÷1.000×0.680×1.050×1.02219.47%
Doubles /BIP0.83%÷1.000×0.600×1.050×1.0220.54%
Triples /BIP3.33%÷1.000×0.600×1.050×1.0222.15%
Home runs /BIP0.00%÷1.000×0.470—×1.0220.00%

Factors used: level-wide DSL 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 17 vs a level average of 18.5 → +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 .283 → .206; ISO .061 → .041; BABIP .306 → .220. 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).