José Rondon

Pos3B
B/TR/R
Born1994-03-03
Age (2027)33
No MLB projection yet. Career stats below are historical.
Overview
INTL
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WAR
202430INTLVenezuela259.295/.383/.47383141—
202531INTLLeones del Ca…143.309/.397/.43921138—
202632INTLLeones del Ca…45.308/.400/.38500130—
Contract
No contract data on file.
Skills · percentileStatcast 2018-2021
Speed52
Barrel%32
xwOBA27
Avg EV17

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)
201117 ROKDSL Angels — 189165 521120 17161 94 315383406789 91344 89 345 50 — — — — — —
201218 ROKOrem Owlz — 237212 561431 16272 65 264322373694 108294 117 303 42 — — — — — —
201319 ROKOrem Owlz — 316276 812221 30312 138 293367399765 105319 109 337 65 — — — — — —
201420 A+Lake Elsinore Storm — 478433 1382651 30732 117 319366409774 90381 156 339 95 — — — — — —
201420 INTLNavegantes del Magallanes — 4847 11300 1130 10 234250298548 64324 272 246 52 — — — — — —
201521 AASan Antonio Missions — 107100 19210 4150 13 190221230451 40221 144 200 10 — — — — — —
201521 A+Lake Elsinore Storm — 264237 711233 21382 176 300362414775 114345 148 343 80 — — — — — —
201622 MLBSan Diego Padres — 2625 3000 140 00 120154120274 143 154 131 -24 -4 +0 -2 +8 +1 0.2
201622 AAAEl Paso Chihuahuas — 8280 24401 1120 01 300309388696 88338 151 306 58 — — — — — —
201622 AASan Antonio Missions — 409376 1052125 15663 134 279312386698 106325 164 301 76 — — — — — —
201622 INTLTigres de Aragua — 191167 44731 13245 22 263335359694 96299 137 306 94 — — — — — —
201723 AAAEl Paso Chihuahuas — 9185 24801 6160 10 282330412741 129338 187 331 61 — — — — — —
201723 AASan Antonio Missions — 234215 631234 16431 21 293345433777 140349 187 343 88 — — — — — —
201723 ROKAZL Padres — 2217 6002 430 10 3534767061.182 353308 1418 481 143 — — — — — —
201723 INTLTigres de Aragua — 2222 3100 050 00 136136182318 45176 230 141 -19 — — — — — —
201824 MLBChicago White Sox — 107100 23606 7300 21 230280470750 240266 287 327 106 +1 +0 +0 +2 +2 0.5
201824 AAACharlotte Knights — 336313 7815418 16823 56 249292495787 246278 245 338 63 — — — — — —
201824 INTLLeones del Caracas — 130118 28503 9181 11 237297356653 119253 147 291 83 — — — — — —
201925 MLBBaltimore Orioles — 157143 28303 11382 00 196263280543 84245 247 249 52 -9 +0 -1 +1 +3 -0.6
201925 AAANorfolk Tides — 8373 16402 10220 10 219313356669 137286 2712 305 52 — — — — — —
202026 INTLLeones del Caracas — 134117 37927 15121 20 3163986071.005 291303 911 431 178 — — — — — —
202127 MLBSt. Louis Cardinals — 9080 21303 8170 20 263330412742 150290 199 325 109 +1 +0 -1 -3 +2 -0.1
202127 AAAMemphis Redbirds — 9385 20306 8220 00 235301482783 247246 249 343 53 — — — — — —
202127 INTLLeones del Caracas — 123107 31413 12302 00 290372430802 140368 2410 355 126 — — — — — —
202228 INTLVenezuela — 272229 7613213 37582 20 3324295761.006 245389 2114 433 179 — — — — — —
202329 INTLLeones del Caracas — 247213 7217114 28392 12 3384206241.044 286354 1611 444 187 — — — — — —
202430 INTLVenezuela — 259224 661418 31421 32 295383473856 179328 1612 377 141 — — — — — —
202531 INTLLeones del Caracas — 143123 381002 17271 10 309397439836 130375 1912 372 138 — — — — — —
202632 INTLLeones del Caracas — 4539 12300 5101 00 308400385785 77414 2211 360 130 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 380348 7512012 27892 41 216276353629 138253 237 281 76 -11 +0 -3 +7 +8 0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201117 ROK MLEDSL Angels — 189170 37710 12191 94 218273271544 53236 106 242 50 — — — — — —
201218 ROK MLEOrem Owlz — 237218 451021 10392 65 206248284532 78235 164 230 42 — — — — — —
201319 ROK MLEOrem Owlz — 316288 691721 18452 138 240289323612 83260 146 264 65 — — — — — —
201420 A+ MLELake Elsinore Storm — 478440 1322341 23972 117 300338377715 77370 205 308 95 — — — — — —
201521 AA MLESan Antonio Missions — 107101 19210 3190 13 188212228439 40213 183 183 10 — — — — — —
201521 A+ MLELake Elsinore Storm — 264242 611033 16532 176 252304355659 103303 206 287 80 — — — — — —
201622 MLB MLESan Diego Padres — 2625 3000 140 00 120154120274 143 154 132 -24 -4 +0 -2 +8 +1 0.2
201622 AAA MLEEl Paso Chihuahuas — 8280 21301 1160 01 263272338609 75305 201 254 58 — — — — — —
201622 AA MLESan Antonio Missions — 409381 1032025 10803 134 270294373667 102313 202 281 76 — — — — — —
201723 AAA MLEEl Paso Chihuahuas — 9186 19601 5210 10 221264326589 105288 235 258 61 — — — — — —
201723 AA MLESan Antonio Missions — 234220 571033 11521 21 259297373670 114329 225 299 88 — — — — — —
201723 ROK MLEAZL Padres — 2219 5002 240 10 263333579912 316236 189 380 143 — — — — — —
201824 MLB MLEChicago White Sox — 107100 23606 7300 21 230280470750 240266 287 325 106 +1 +0 +0 +2 +2 0.5
201824 AAA MLECharlotte Knights — 336318 6512312 111003 56 204238374612 170251 303 261 63 — — — — — —
201925 MLB MLEBaltimore Orioles — 157143 28303 11382 00 196263280543 84245 247 245 52 -9 +0 -1 +1 +3 -0.6
201925 AAA MLENorfolk Tides — 8377 14302 6270 10 182241299540 117260 337 245 52 — — — — — —
202127 MLB MLESt. Louis Cardinals — 9080 21303 8170 20 263330412742 150290 199 330 109 +1 +0 -1 -3 +2 -0.1
202127 AAA MLEMemphis Redbirds — 9388 15204 5280 00 170215330545 159203 305 246 53 — — — — — —
201117 ROK MLEDSL Angels — 189170 37710 12191 94 218273271544 53242 106 242 50 — — — — — —
201117 ROK RAWDSL Angels — 189165 521120 17161 94 315383406789 91344 89 345 50 — — — — — —
201218 ROK MLEOrem Owlz — 237218 451021 10392 65 206248284532 78243 164 230 42 — — — — — —
201218 ROK RAWOrem Owlz — 237212 561431 16272 65 264322373694 108294 117 303 42 — — — — — —
201319 ROK MLEOrem Owlz — 316288 691721 18452 138 240289323612 83273 146 264 65 — — — — — —
201319 ROK RAWOrem Owlz — 316276 812221 30312 138 293367399765 105319 109 337 65 — — — — — —
201420 A+ MLE2 teams — 526485 1462651 261062 127 301339381721 80383 205 308 95 — — — — — —
201420 A+ RAW2 teams — 526480 1492951 31862 127 310355398753 87376 166 330 95 — — — — — —
201521 A+ MLE2 teams — 371343 781233 19722 189 227272306578 79278 195 257 60 — — — — — —
201521 A+ RAW2 teams — 371337 901443 25532 189 267321359680 92307 147 302 60 — — — — — —
201622 AA MLE4 teams — 708662 1733237 161378 157 261287350638 89317 192 269 68 — — — — — —
201622 AA RAW4 teams — 708648 1763257 301068 157 272312369681 97312 154 297 68 — — — — — —
201723 AA MLE4 teams — 369345 881836 20821 41 255298377675 122317 225 293 85 — — — — — —
201723 AA RAW4 teams — 369339 962137 26671 41 283336425761 142333 187 336 85 — — — — — —
201824 AAA MLE3 teams — 573540 11423423 231684 88 211249396645 185257 294 276 73 — — — — — —
201824 AAA RAW3 teams — 573531 12926427 321304 88 243291460751 217269 236 325 73 — — — — — —
201925 MLB MLE2 teams — 240220 42605 17652 10 191255286542 95247 277 245 52 -14 +0 -1 +1 +5 -0.9
201925 MLB RAW2 teams — 240216 44705 21602 10 204280306586 102258 259 269 52 -14 +0 -1 +1 +5 -0.9
202026 INTL MLELeones del Caracas — 134117 37927 15121 20 3163986071.005 291303 911 — — — — — — — —
202026 INTL RAWLeones del Caracas — 134117 37927 15121 20 3163986071.005 291303 911 431 178 — — — — — —
202127 INTL MLE3 teams — 306278 608012 22752 20 216278374652 158246 257 287 81 — — — — — —
202127 INTL RAW3 teams — 306272 7210112 28692 20 265338441779 176308 239 342 81 — — — — — —
202228 INTL MLEVenezuela — 272229 7613213 37582 20 3324295761.006 245389 2114 — — — — — — — —
202228 INTL RAWVenezuela — 272229 7613213 37582 20 3324295761.006 245389 2114 433 179 — — — — — —
202329 INTL MLELeones del Caracas — 247213 7217114 28392 12 3384206241.044 286354 1611 — — — — — — — —
202329 INTL RAWLeones del Caracas — 247213 7217114 28392 12 3384206241.044 286354 1611 444 187 — — — — — —
202430 INTL MLEVenezuela — 259224 661418 31421 32 295383473856 179328 1612 — — — — — — — —
202430 INTL RAWVenezuela — 259224 661418 31421 32 295383473856 179328 1612 377 141 — — — — — —
202531 INTL MLELeones del Caracas — 143123 381002 17271 10 309397439836 130375 1912 — — — — — — — —
202531 INTL RAWLeones del Caracas — 143123 381002 17271 10 309397439836 130375 1912 372 138 — — — — — —
202632 INTL MLELeones del Caracas — 4539 12300 5101 00 308400385785 77414 2211 — — — — — — — —
202632 INTL RAWLeones del Caracas — 4539 12300 5101 00 308400385785 77414 2211 360 130 — — — — — —
201117 ROK MLEDSL Angels — 189174 37710 12191 94 213273264538 52236 106 242 50 — — — — — —
201218 ROK MLEOrem Owlz — 237223 451021 10392 65 202248278526 76235 164 230 42 — — — — — —
201319 ROK MLEOrem Owlz — 316293 691721 18452 138 235289317606 82260 146 264 65 — — — — — —
201420 A+ MLE2 teams — 526493 1462651 261062 127 296339375714 79370 205 308 95 — — — — — —
201521 A+ MLE2 teams — 371347 781233 19722 189 225272303575 78277 195 257 60 — — — — — —
201622 AA MLE4 teams — 708678 1733237 161378 157 255287342629 87303 192 269 68 — — — — — —
201723 AA MLE4 teams — 369345 881836 20821 41 255298377675 122312 225 293 85 — — — — — —
201824 AAA MLE3 teams — 573541 11423423 231684 88 211249396644 185255 294 276 73 — — — — — —
201925 MLB MLE2 teams — 240219 42605 17652 10 192255288543 96250 277 245 52 — — — — — —
202127 INTL MLE3 teams — 306279 608012 22752 20 215278373651 158246 257 287 81 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 380348 7512012 27892 41 216276353629 138253 237 281 29 -11 +0 -3 +7 +8 0.2
/ 162G— A+C — 650595 12921021 461523 72 217276358634 141254 237 281 29 -18 +1 -6 +12 +14 0.3
Career— MLE — 49354494 115322529103 31699634 9753 257310388699 132305 206 212 29 -11 +0 -3 +7 +8 0.2
/ 162G— MLE — 650592 15330414 421314 137 258312394705 135307 206 212 29 -18 +1 -6 +12 +14 0.3

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.

2021 AAAMemphis Redbirds · 93 PAwOBA .333 → .246 (−87)K% 23.7% → 29.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.66%÷0.955×1.200——29.73%
BB% (unintentional) /PA8.60%÷1.056×0.690—×1.0035.64%
HBP% /PA0.00%—×0.940—×1.0030.00%
Singles /BIP17.46%÷1.016×0.930×0.950×1.00315.23%
Doubles /BIP4.76%÷1.029×0.830×0.950×1.0033.66%
Triples /BIP0.00%÷1.150×0.920×0.950×1.0030.00%
Home runs /BIP9.52%÷0.949×0.700—×1.0037.05%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 103, 2B 106, 3B 130, K 91, BB 111 — 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 ×0.950.

Result: wOBA .333 → .246; ISO .247 → .175; BABIP .246 → .203. 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 AAANorfolk Tides · 83 PAwOBA .297 → .245 (−52)K% 26.5% → 32.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.51%÷0.973×1.200——32.68%
BB% (unintentional) /PA12.05%÷1.103×0.690—×1.0337.79%
HBP% /PA0.00%—×0.940—×1.0330.00%
Singles /BIP19.61%÷1.033×0.930—×1.03318.24%
Doubles /BIP7.84%÷0.990×0.830—×1.0336.79%
Triples /BIP0.00%÷0.954×0.970—×1.0330.00%
Home runs /BIP3.92%÷0.889×0.840—×1.0333.83%

Factors used: league row IL. Park (home-season share, regressed): HR 78, 1B 107, 2B 98, 3B 91, K 95, BB 121 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average).

Result: wOBA .297 → .245; ISO .137 → .124; BABIP .286 → .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).

2018 AAACharlotte Knights · 336 PAwOBA .331 → .261 (−70)K% 24.4% → 29.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.40%÷0.986×1.200——29.69%
BB% (unintentional) /PA4.76%÷1.030×0.690—×1.0483.34%
HBP% /PA0.89%—×0.940—×1.0480.88%
Singles /BIP17.75%÷1.030×0.930×1.023×1.04817.18%
Doubles /BIP6.49%÷1.077×0.830×1.023×1.0485.37%
Triples /BIP1.73%÷1.150×0.970×1.023×1.0481.57%
Home runs /BIP7.79%÷1.319×0.840—×1.0485.20%

Factors used: league row IL. Park (home-season share, regressed): HR 164, 1B 106, 2B 115, 3B 130, K 97, BB 106 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.

Result: wOBA .331 → .261; ISO .246 → .171; BABIP .278 → .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).

2017 AASan Antonio Missions · 234 PAwOBA .335 → .299 (−36)K% 18.4% → 22.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.38%÷1.000×1.220——22.42%
BB% (unintentional) /PA6.84%÷0.994×0.700—×1.0274.95%
HBP% /PA0.43%—×0.870—×1.0270.38%
Singles /BIP25.58%÷0.996×0.920×1.008×1.02724.45%
Doubles /BIP6.98%÷0.992×0.840×1.008×1.0276.11%
Triples /BIP1.74%÷0.900×0.940×1.008×1.0271.89%
Home runs /BIP2.33%÷0.940×0.800—×1.0272.03%

Factors used: league row TL. Park (home-season share, regressed): HR 88, 1B 99, 2B 98, 3B 80, K 100, BB 99 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.

Result: wOBA .335 → .299; ISO .140 → .126; BABIP .349 → .329. 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 AAAEl Paso Chihuahuas · 91 PAwOBA .322 → .258 (−64)K% 17.6% → 22.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.58%÷1.005×1.290——22.58%
BB% (unintentional) /PA6.59%÷0.921×0.710—×1.0505.34%
HBP% /PA0.00%—×0.980—×1.0500.00%
Singles /BIP21.74%÷1.040×0.900×0.955×1.05018.87%
Doubles /BIP11.59%÷0.983×0.810×0.955×1.0509.58%
Triples /BIP0.00%÷1.049×0.810×0.955×1.0500.00%
Home runs /BIP1.45%÷1.087×0.780—×1.0501.09%

Factors used: league row PCL. Park (home-season share, regressed): HR 117, 1B 108, 2B 97, 3B 110, K 101, BB 84 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.955.

Result: wOBA .322 → .258; ISO .129 → .099; BABIP .338 → .288. 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 · 22 PAwOBA .490 → .380 (−110)K% 13.6% → 19.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.64%÷1.000×1.440——19.64%
BB% (unintentional) /PA18.18%÷1.000×0.620—×0.96510.88%
HBP% /PA0.00%—×0.720—×0.9650.00%
Singles /BIP28.57%÷1.000×0.820—×0.96522.61%
Doubles /BIP0.00%÷1.000×0.720—×0.9650.00%
Triples /BIP0.00%÷1.000×0.720—×0.9650.00%
Home runs /BIP14.29%÷1.000×0.780—×0.96510.75%

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 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average).

Result: wOBA .490 → .380; ISO .353 → .290; BABIP .308 → .236. 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 AASan Antonio Missions · 409 PAwOBA .294 → .281 (−12)K% 16.1% → 19.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.14%÷1.012×1.220——19.46%
BB% (unintentional) /PA3.42%÷1.016×0.700—×1.0422.46%
HBP% /PA0.73%—×0.870—×1.0420.66%
Singles /BIP24.84%÷1.015×0.920×1.026×1.04224.05%
Doubles /BIP6.77%÷0.951×0.840×1.026×1.0426.39%
Triples /BIP0.65%÷0.900×0.940×1.026×1.0420.72%
Home runs /BIP1.61%÷0.933×0.800—×1.0421.44%

Factors used: league row TL. Park (home-season share, regressed): HR 87, 1B 103, 2B 90, 3B 80, K 102, BB 103 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.026.

Result: wOBA .294 → .281; ISO .106 → .102; BABIP .325 → .313. 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 AAAEl Paso Chihuahuas · 82 PAwOBA .301 → .254 (−47)K% 14.6% → 19.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.63%÷0.951×1.290——19.85%
BB% (unintentional) /PA1.22%÷1.004×0.710—×1.0500.91%
HBP% /PA0.00%—×0.980—×1.0500.00%
Singles /BIP27.94%÷1.026×0.900×0.994×1.05025.58%
Doubles /BIP5.88%÷0.987×0.810×0.994×1.0505.04%
Triples /BIP0.00%÷1.028×0.810×0.994×1.0500.00%
Home runs /BIP1.47%÷1.160×0.780—×1.0501.04%

Factors used: league row PCL. Park (home-season share, regressed): HR 132, 1B 105, 2B 97, 3B 106, K 90, BB 101 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.

Result: wOBA .301 → .254; ISO .087 → .066; BABIP .338 → .305. 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 — .