Joshua Rodriguez

PosSS
B/TR/R
Born1984-12-18
Age (2027)42
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2019
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201631AAA/AA2 orgs342.263/.384/.4209472—.211/.298/.339
201732AAALas Vegas 51s381.241/.299/.39512228—.172/.215/.263
201934AAA/INTL2 orgs599.298/.372/.50125485—.241/.297/.387
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)
200722 A+Kinston Indians — 568493 12920920 68952 218 262353460814 199285 1712 358 80 — — — — — —
200823 AAAkron Aeros — 621532 12822107 771220 126 241337359696 118298 2012 311 73 — — — — — —
200924 AAAkron Aeros — 131105 31400 23301 23 295426333760 38413 2318 354 95 — — — — — —
201025 AAAColumbus Clippers — 364317 9323112 40751 62 293374486860 192349 2111 375 95 — — — — — —
201025 AAAkron Aeros — 7963 20701 11101 02 317427476903 159339 1314 384 126 — — — — — —
201126 AAAIndianapolis Indians — 8470 16302 11240 10 229333357690 129311 2913 305 66 — — — — — —
201126 AAAltoona Curve — 246225 60305 18411 31 267324347670 80304 177 303 61 — — — — — —
201227 AAABuffalo Bisons — 287257 681418 22563 35 265330420750 156308 208 329 78 — — — — — —
201227 AABinghamton Mets — 245214 621435 28481 53 290374453828 164352 2011 366 84 — — — — — —
201328 AABinghamton Mets — 522441 1203026 70943 53 272375390766 118329 1813 344 86 — — — — — —
201429 AAANew Orleans Zephyrs — 482424 11021211 461126 74 259340396737 137324 2310 329 60 — — — — — —
201530 AAALas Vegas 51s — 2320 6200 340 00 300391400791 100375 1713 360 70 — — — — — —
201530 AABinghamton Mets — 474413 11624319 53894 112 281368492860 211314 1911 377 79 — — — — — —
201631 AAANashville Sounds — 134106 28705 24251 11 264405472876 208299 1918 383 97 — — — — — —
201631 AAMidland RockHounds — 208175 46624 30510 31 263371389759 126344 2514 341 56 — — — — — —
201732 AAALas Vegas 51s — 381352 8512312 27952 21 241299395694 153298 257 310 28 — — — — — —
201934 AAATecos de los Dos Laredos — 509449 14030022 541092 36 312388526914 214366 2111 399 86 — — — — — —
201934 INTLNaranjeros de Hermosillo — 9082 18113 7130 10 220281366647 146227 148 287 80 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200722 A+ MLEKinston Indians — 568518 11516718 431352 218 222284384668 162258 248 287 80 — — — — — —
200823 AA MLEAkron Aeros — 621555 12820106 541490 126 231299335634 105294 249 276 73 — — — — — —
200924 AA MLEAkron Aeros — 131112 32400 16371 23 286380321701 36403 2812 309 95 — — — — — —
201025 AAA MLEColumbus Clippers — 364330 8319110 27901 62 252310406716 155307 257 309 95 — — — — — —
201025 AA MLEAkron Aeros — 7967 20601 7121 02 299373433806 134309 159 355 126 — — — — — —
201126 AAA MLEIndianapolis Indians — 8473 16302 8290 10 219296342639 123294 3510 266 66 — — — — — —
201126 AA MLEAltoona Curve — 246230 55304 13511 31 239283304587 65281 215 258 61 — — — — — —
201227 AAA MLEBuffalo Bisons — 287264 621217 15683 35 235284367651 133281 245 283 78 — — — — — —
201227 AA MLEBinghamton Mets — 245224 531224 18591 53 237296362658 125302 247 292 84 — — — — — —
201328 AA MLEBinghamton Mets — 522466 1172625 451113 53 251321348669 97308 219 295 86 — — — — — —
201429 AAA MLENew Orleans Zephyrs — 482439 921727 311436 74 210271305576 96283 306 257 60 — — — — — —
201530 AAA MLELas Vegas 51s — 2321 4100 250 00 190261238499 48314 229 272 70 — — — — — —
201530 AA MLEBinghamton Mets — 474432 9719313 341114 112 225287373660 148263 237 285 79 — — — — — —
201631 AAA MLENashville Sounds — 134113 25605 17321 11 221328407735 186254 2413 312 97 — — — — — —
201631 AA MLEMidland RockHounds — 208186 38423 19680 31 204278296574 91285 339 251 56 — — — — — —
201732 AAA MLELas Vegas 51s — 381361 62827 181292 21 172215263478 91247 345 210 28 — — — — — —
201934 AAA MLETecos de los Dos Laredos — 509468 11320016 351322 36 241297387684 145294 267 296 86 — — — — — —
200722 A+ MLEKinston Indians — 568518 11516718 431352 218 222284384668 162263 248 287 80 — — — — — —
200722 A+ RAWKinston Indians — 568493 12920920 68952 218 262353460814 199285 1712 358 80 — — — — — —
200823 AA MLEAkron Aeros — 621555 12820106 541490 126 231299335634 105303 249 276 73 — — — — — —
200823 AA RAWAkron Aeros — 621532 12822107 771220 126 241337359696 118298 2012 311 73 — — — — — —
200924 AA MLEAkron Aeros — 131112 32400 16371 23 286380321701 36427 2812 309 95 — — — — — —
200924 AA RAWAkron Aeros — 131105 31400 23301 23 295426333760 38413 2318 354 95 — — — — — —
201025 AAA MLE2 teams — 443396 10325111 351022 64 260323412735 152318 238 317 101 — — — — — —
201025 AAA RAW2 teams — 443380 11330113 51852 64 297383484868 187347 1912 376 101 — — — — — —
201126 AA MLE2 teams — 330303 70506 21801 41 231283307590 76291 246 260 62 — — — — — —
201126 AA RAW2 teams — 330295 76607 29651 41 258326349675 92305 209 304 62 — — — — — —
201227 AAA MLE2 teams — 532488 11524311 331274 88 236290365654 129295 246 287 80 — — — — — —
201227 AAA RAW2 teams — 532471 13028413 501044 88 276350435786 159328 209 346 80 — — — — — —
201328 AA MLEBinghamton Mets — 522466 1172625 451113 53 251321348669 97315 219 295 86 — — — — — —
201328 AA RAWBinghamton Mets — 522441 1203026 70943 53 272375390766 118329 1813 344 86 — — — — — —
201429 AAA MLENew Orleans Zephyrs — 482439 921727 311436 74 210271305576 96289 306 257 60 — — — — — —
201429 AAA RAWNew Orleans Zephyrs — 482424 11021211 461126 74 259340396737 137324 2310 329 60 — — — — — —
201530 AA MLE2 teams — 497453 10120313 361174 112 223286366652 143269 247 284 79 — — — — — —
201530 AA RAW2 teams — 497433 12226319 56934 112 282369487856 206317 1911 376 79 — — — — — —
201631 AA MLE2 teams — 342300 631127 351001 42 210295330625 120286 2910 275 72 — — — — — —
201631 AA RAW2 teams — 342281 741329 54761 42 263384420804 157327 2216 358 72 — — — — — —
201732 AAA MLELas Vegas 51s — 381361 62827 181292 21 172215263478 91244 345 210 28 — — — — — —
201732 AAA RAWLas Vegas 51s — 381352 8512312 27952 21 241299395694 153298 257 310 28 — — — — — —
201934 AAA MLE2 teams — 599551 13324019 411552 46 241296388685 147299 267 296 86 — — — — — —
201934 AAA RAW2 teams — 599531 15831125 611222 46 298372501873 203343 2010 382 86 — — — — — —
200722 A+ MLEKinston Indians — 568518 11516718 431352 218 222284384668 162258 248 287 80 — — — — — —
200823 AA MLEAkron Aeros — 621562 12820106 541490 126 228299331630 103294 249 276 73 — — — — — —
200924 AA MLEAkron Aeros — 131113 32400 16371 23 283380319698 35403 2812 309 95 — — — — — —
201025 AAA MLE2 teams — 443403 10325111 351022 64 256323404728 149307 238 317 101 — — — — — —
201126 AA MLE2 teams — 330305 70506 21801 41 230283305588 75284 246 260 62 — — — — — —
201227 AAA MLE2 teams — 532490 11524311 331274 88 235290363653 129291 246 287 80 — — — — — —
201328 AA MLEBinghamton Mets — 522469 1172625 451113 53 249321345666 96308 219 295 86 — — — — — —
201429 AAA MLENew Orleans Zephyrs — 482442 921727 311436 74 208271303574 95283 306 257 60 — — — — — —
201530 AA MLE2 teams — 497454 10120313 361174 112 222286366652 143265 247 284 79 — — — — — —
201631 AA MLE2 teams — 342303 631127 351001 42 208295327621 119273 2910 275 72 — — — — — —
201732 AAA MLELas Vegas 51s — 381358 62827 181292 21 173215265481 92247 345 210 28 — — — — — —
201934 AAA MLE2 teams — 599551 13324019 411552 46 241296388685 147294 267 296 86 — — — — — —
▸ Career Totals
Career— MLE — 54484942 113120032110 408138528 8648 229291349640 120293 257 280 76 -159 -2 -0 +58 +118 1.6
/ 162G— MLE — 650590 13524413 491653 106 229291349640 120293 258 280 76 -19 -0 -0 +7 +14 0.2

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 AAATecos de los Dos Laredos · 509 PAwOBA .391 → .296 (−95)K% 21.4% → 25.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.41%÷0.994×1.200——25.86%
BB% (unintentional) /PA10.61%÷1.019×0.690—×0.9406.75%
HBP% /PA0.39%—×0.940—×0.9400.35%
Singles /BIP25.88%÷0.956×0.930×0.950×0.94022.50%
Doubles /BIP8.82%÷1.103×0.830×0.950×0.9405.93%
Triples /BIP0.00%÷1.150×0.920×0.950×0.9400.00%
Home runs /BIP6.47%÷0.919×0.700—×0.9404.63%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 84, 1B 91, 2B 120, 3B 130, K 99, BB 104 — applied at half strength. Age: age 35 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (7.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .391 → .296; ISO .214 → .151; BABIP .366 → .294. 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 AAALas Vegas 51s · 381 PAwOBA .301 → .210 (−91)K% 24.9% → 33.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.93%÷0.948×1.290——33.92%
BB% (unintentional) /PA7.09%÷1.015×0.710—×0.9424.67%
HBP% /PA0.52%—×0.980—×0.9420.48%
Singles /BIP22.57%÷0.994×0.900×1.014×0.94219.53%
Doubles /BIP4.67%÷0.998×0.810×1.014×0.9423.62%
Triples /BIP1.17%÷1.111×0.810×1.014×0.9420.81%
Home runs /BIP4.67%÷1.209×0.780—×0.9422.84%

Factors used: league row PCL. Park (home-season share, regressed): HR 142, 1B 99, 2B 100, 3B 122, K 90, BB 103 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.014.

Result: wOBA .301 → .210; ISO .153 → .091; BABIP .298 → .247. 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 AAMidland RockHounds · 208 PAwOBA .336 → .251 (−85)K% 24.5% → 32.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.52%÷0.920×1.220——32.53%
BB% (unintentional) /PA14.42%÷1.062×0.700—×0.9408.94%
HBP% /PA0.00%—×0.870—×0.9400.00%
Singles /BIP27.42%÷1.022×0.920×1.010×0.94023.42%
Doubles /BIP4.84%÷1.075×0.840×1.010×0.9403.59%
Triples /BIP1.61%÷1.150×0.940×1.010×0.9401.25%
Home runs /BIP3.23%÷0.999×0.800—×0.9402.43%

Factors used: league row TL. Park (home-season share, regressed): HR 100, 1B 104, 2B 115, 3B 130, K 84, BB 112 — applied at half strength. Age: age 32 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (7.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.010.

Result: wOBA .336 → .251; ISO .126 → .093; BABIP .344 → .285. 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 AAANashville Sounds · 134 PAwOBA .377 → .312 (−64)K% 18.7% → 24.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.66%÷1.004×1.290——23.97%
BB% (unintentional) /PA17.91%÷0.979×0.710—×0.95212.37%
HBP% /PA0.75%—×0.980—×0.9520.70%
Singles /BIP19.75%÷1.035×0.900×1.023×0.95216.73%
Doubles /BIP8.64%÷0.898×0.810×1.023×0.9527.59%
Triples /BIP0.00%÷1.015×0.810×1.023×0.9520.00%
Home runs /BIP6.17%÷0.856×0.780—×0.9525.35%

Factors used: league row PCL. Park (home-season share, regressed): HR 71, 1B 107, 2B 80, 3B 103, K 101, BB 96 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.

Result: wOBA .377 → .312; ISO .208 → .188; BABIP .299 → .254. 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 AABinghamton Mets · 474 PAwOBA .368 → .285 (−83)K% 18.8% → 23.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.78%÷0.974×1.220——23.52%
BB% (unintentional) /PA10.76%÷0.988×0.700—×0.9407.16%
HBP% /PA0.84%—×0.850—×0.9400.67%
Singles /BIP21.60%÷1.030×0.970×0.989×0.94018.93%
Doubles /BIP7.41%÷1.034×0.860×0.989×0.9405.73%
Triples /BIP0.93%÷0.900×0.950×0.989×0.9400.91%
Home runs /BIP5.86%÷1.088×0.780—×0.9403.95%

Factors used: league row EL. Park (home-season share, regressed): HR 118, 1B 106, 2B 107, 3B 80, K 95, BB 98 — applied at half strength. Age: age 31 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (6.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.989.

Result: wOBA .368 → .285; ISO .211 → .153; BABIP .314 → .263. 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 AAALas Vegas 51s · 23 PAwOBA .351 → .272 (−79)K% 17.4% → 23.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.39%÷0.977×1.290——22.96%
BB% (unintentional) /PA13.04%÷1.010×0.710—×0.9628.82%
HBP% /PA0.00%—×0.980—×0.9620.00%
Singles /BIP25.00%÷0.983×0.900—×0.96222.02%
Doubles /BIP12.50%÷1.042×0.810—×0.9629.34%
Triples /BIP0.00%÷1.061×0.810—×0.9620.00%
Home runs /BIP0.00%÷1.099×0.780—×0.9620.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 120, 1B 97, 2B 108, 3B 112, K 95, BB 102 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average).

Result: wOBA .351 → .272; ISO .100 → .073; BABIP .375 → .314. 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 AAANew Orleans Zephyrs · 482 PAwOBA .323 → .257 (−66)K% 23.2% → 29.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.24%÷1.008×1.290——29.74%
BB% (unintentional) /PA9.34%÷1.007×0.710—×0.9726.40%
HBP% /PA1.24%—×0.980—×0.9721.19%
Singles /BIP24.36%÷0.980×0.900×1.001×0.97221.77%
Doubles /BIP6.73%÷0.923×0.810×1.001×0.9725.75%
Triples /BIP0.64%÷0.900×0.810×1.001×0.9720.56%
Home runs /BIP3.53%÷1.098×0.780—×0.9722.43%

Factors used: league row PCL. Park (home-season share, regressed): HR 120, 1B 96, 2B 85, 3B 80, K 102, BB 101 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.001.

Result: wOBA .323 → .257; ISO .137 → .101; BABIP .324 → .283. 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).

2013 AABinghamton Mets · 522 PAwOBA .338 → .295 (−43)K% 18.0% → 21.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.01%÷1.034×1.220——21.26%
BB% (unintentional) /PA13.03%÷1.019×0.700—×0.9588.57%
HBP% /PA0.57%—×0.850—×0.9580.47%
Singles /BIP23.63%÷0.949×0.970×0.999×0.95823.12%
Doubles /BIP8.65%÷0.991×0.860×0.999×0.9587.18%
Triples /BIP0.58%÷0.900×0.950×0.999×0.9580.58%
Home runs /BIP1.73%÷1.012×0.780—×0.9581.28%

Factors used: league row EL. Park (home-season share, regressed): HR 102, 1B 90, 2B 98, 3B 80, K 107, BB 104 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .338 → .295; ISO .118 → .100; BABIP .329 → .308. 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 — .