David Rodríguez

PosC
B/TR/R
Born1996-02-25
Age (2027)31
No MLB projection yet. Career stats below are historical.
Overview
INTLPROSPECT
MLB%0%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WAR
202428INTLTigres de Ara…183.295/.390/.46861143—
202529INTLTigres de Ara…208.301/.406/.38610131—
202630INTLTigres de Ara…55.375/.444/.72941219—
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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
201317 ROKVSL Rays — 269237 7814012 24628 52 329409540949 211405 239 419 57 — — — — — —
201418 ROKGCL Rays — 146128 351020 9316 30 273350383732 109350 216 326 40 — — — — — —
201519 ROKPrinceton Rays — 196178 46714 15393 11 258327376703 118311 208 318 41 — — — — — —
201620 ABowling Green Hot Rods — 472416 1001619 44887 43 240323349672 108282 199 304 62 — — — — — —
201620 INTLBrisbane Bandits — 8577 34606 7141 12 4424947531.247 312491 168 538 250 — — — — — —
201721 A+Charlotte Stone Crabs — 338303 611210 22738 13 201273248521 46261 227 242 26 — — — — — —
201721 INTLBravos de Margarita — 6962 18001 4202 00 290353339692 48415 296 315 99 — — — — — —
201822 AAMontgomery Biscuits — 276252 581314 21590 21 230289337627 107281 218 281 62 — — — — — —
201822 A+Charlotte Stone Crabs — 117104 33812 8234 10 317388471859 154388 207 380 103 — — — — — —
201822 INTLBravos de Margarita — 131125 42913 6240 01 336366496862 160398 185 380 144 — — — — — —
201923 AAMontgomery Biscuits — 295262 591037 29681 41 225305366671 141275 2310 300 57 — — — — — —
202024 INTLPanama — 188157 591315 26264 12 3764765671.043 191425 1414 457 196 — — — — — —
202125 AAASyracuse Mets — 7569 18202 6170 10 261320377697 116320 238 314 62 — — — — — —
202125 AABinghamton Rumble Ponies — 11295 22504 15282 00 232348411759 179286 2513 343 68 — — — — — —
202125 INTLBravos de Margarita — 217181 51835 28515 00 282393442835 160359 2413 371 137 — — — — — —
202226 AAADurham Bulls — 127116 29705 10381 00 250315440755 190329 308 335 61 — — — — — —
202226 INTLBravos de Margarita — 231192 641219 33471 04 333434547981 214390 2014 422 172 — — — — — —
202327 INTLBravos de Margarita — 243201 681204 37334 00 338450458908 119388 1415 410 163 — — — — — —
202428 INTLTigres de Aragua — 183156 46716 24301 10 295390468858 173331 1613 380 143 — — — — — —
202529 INTLTigres de Aragua — 208176 531201 29422 03 301406386792 85388 2014 362 131 — — — — — —
202630 INTLTigres de Aragua — 5548 18314 581 10 3754447291.174 354378 159 492 219 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201317 ROK MLEVSL Rays — 269245 49806 16768 52 200271306577 106259 286 252 57 — — — — — —
201418 ROK MLEGCL Rays — 146131 25710 6456 30 191259260518 69267 314 228 40 — — — — — —
201519 ROK MLEPrinceton Rays — 196183 36513 10553 11 197250284534 87256 285 229 41 — — — — — —
201620 A MLEBowling Green Hot Rods — 472429 941517 311187 43 219283308590 89275 257 260 62 — — — — — —
201721 A+ MLECharlotte Stone Crabs — 338307 531110 181028 13 173237215452 42246 305 206 26 — — — — — —
201822 AA MLEMontgomery Biscuits — 276259 591313 14680 21 228267320588 93288 255 260 62 — — — — — —
201822 A+ MLECharlotte Stone Crabs — 117106 29712 6334 10 274336415751 142364 285 320 103 — — — — — —
201923 AA MLEMontgomery Biscuits — 295270 54926 21841 41 200260315575 115259 287 253 57 — — — — — —
202125 AAA MLESyracuse Mets — 7571 16201 4210 10 225267296562 70310 285 260 62 — — — — — —
202125 AA MLEBinghamton Rumble Ponies — 112100 19403 10342 00 190277320597 130251 309 268 68 — — — — — —
202226 AAA MLEDurham Bulls — 127119 24503 7461 00 202252319571 118306 366 258 61 — — — — — —
201317 ROK MLEVSL Rays — 269245 49806 16768 52 200271306577 106264 286 252 57 — — — — — —
201317 ROK RAWVSL Rays — 269237 7814012 24628 52 329409540949 211405 239 419 57 — — — — — —
201418 ROK MLEGCL Rays — 146131 25710 6456 30 191259260518 69281 314 228 40 — — — — — —
201418 ROK RAWGCL Rays — 146128 351020 9316 30 273350383732 109350 216 326 40 — — — — — —
201519 ROK MLEPrinceton Rays — 196183 36513 10553 11 197250284534 87264 285 229 41 — — — — — —
201519 ROK RAWPrinceton Rays — 196178 46714 15393 11 258327376703 118311 208 318 41 — — — — — —
201620 A MLE2 teams — 557508 1101718 361398 55 217279301580 85279 256 260 62 — — — — — —
201620 A RAW2 teams — 557493 13422115 511028 55 272350412761 140313 189 340 62 — — — — — —
201721 A+ MLE2 teams — 407370 641410 2112310 13 173237216453 43255 305 206 26 — — — — — —
201721 A+ RAW2 teams — 407365 791211 269310 13 216287263550 47284 236 254 26 — — — — — —
201822 AA MLE3 teams — 524490 1172727 261354 32 239283345628 106312 265 278 74 — — — — — —
201822 AA RAW3 teams — 524481 1333039 351064 32 277331407738 131335 207 328 74 — — — — — —
201923 AA MLEMontgomery Biscuits — 295270 54926 21841 41 200260315575 115264 287 253 57 — — — — — —
201923 AA RAWMontgomery Biscuits — 295262 591037 29681 41 225305366671 141275 2310 300 57 — — — — — —
202024 INTL MLEPanama — 188157 591315 26264 12 3764765671.043 191425 1414 — — — — — — — —
202024 INTL RAWPanama — 188157 591315 26264 12 3764765671.043 191425 1414 457 196 — — — — — —
202125 INTL MLE3 teams — 404364 7713010 301187 10 212284330614 118280 297 265 65 — — — — — —
202125 INTL RAW3 teams — 404345 9115311 49967 10 264367420787 157332 2412 353 65 — — — — — —
202226 INTL MLE2 teams — 358332 701509 191292 04 211258337595 127307 365 258 61 — — — — — —
202226 INTL RAW2 teams — 358308 9319114 43852 04 302391506897 205369 2412 391 61 — — — — — —
202327 INTL MLEBravos de Margarita — 243201 681204 37334 00 338450458908 119388 1415 — — — — — — — —
202327 INTL RAWBravos de Margarita — 243201 681204 37334 00 338450458908 119388 1415 410 163 — — — — — —
202428 INTL MLETigres de Aragua — 183156 46716 24301 10 295390468858 173331 1613 — — — — — — — —
202428 INTL RAWTigres de Aragua — 183156 46716 24301 10 295390468858 173331 1613 380 143 — — — — — —
202529 INTL MLETigres de Aragua — 208176 531201 29422 03 301406386792 85388 2014 — — — — — — — —
202529 INTL RAWTigres de Aragua — 208176 531201 29422 03 301406386792 85388 2014 362 131 — — — — — —
202630 INTL MLETigres de Aragua — 5548 18314 581 10 3754447291.174 354378 159 — — — — — — — —
202630 INTL RAWTigres de Aragua — 5548 18314 581 10 3754447291.174 354378 159 492 219 — — — — — —
201317 ROK MLEVSL Rays — 269243 49806 16768 52 202271309580 107259 286 252 57 — — — — — —
201418 ROK MLEGCL Rays — 146133 25710 6456 30 188259256514 68267 314 228 40 — — — — — —
201519 ROK MLEPrinceton Rays — 196181 36513 10553 11 199250287537 88256 285 229 41 — — — — — —
201620 A MLE2 teams — 557508 1101718 361398 55 217279301580 85275 256 260 62 — — — — — —
201721 A+ MLE2 teams — 407373 641410 2112310 13 172237214451 43246 305 206 26 — — — — — —
201822 AA MLE3 teams — 524489 1172727 261354 32 239283346628 106311 265 278 74 — — — — — —
201923 AA MLEMontgomery Biscuits — 295271 54926 21841 41 199260314574 114259 287 253 57 — — — — — —
202125 INTL MLE3 teams — 404364 7713010 301187 10 212284330614 118275 297 265 65 — — — — — —
202226 INTL MLE2 teams — 358334 701509 191292 04 210258335593 126306 365 258 61 — — — — — —
▸ Career Totals
Career— MLE — 40333631 8461621169 306104361 2623 233303341644 108305 268 197 19 -387 -4 +0 +72 +87 -23.6
/ 162G— MLE — 650585 13626211 4916810 44 232303340643 108304 268 197 19 -62 -1 +0 +12 +14 -3.8

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.

2022 AAADurham Bulls · 127 PAwOBA .325 → .258 (−68)K% 29.9% → 36.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA29.92%÷0.999×1.200——35.95%
BB% (unintentional) /PA7.87%÷1.059×0.690—×1.0185.22%
HBP% /PA0.79%—×0.940—×1.0180.75%
Singles /BIP21.79%÷0.988×0.930×1.050×1.01821.93%
Doubles /BIP8.97%÷1.091×0.830×1.050×1.0187.30%
Triples /BIP0.00%÷1.150×0.970×1.050×1.0180.00%
Home runs /BIP6.41%÷1.034×0.700—×1.0184.42%

Factors used: league row International League. Park (home-season share, regressed): HR 107, 1B 98, 2B 118, 3B 130, K 100, BB 112 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .325 → .258; ISO .190 → .131; BABIP .329 → .306. 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 AABinghamton Rumble Ponies · 112 PAwOBA .331 → .268 (−63)K% 25.0% → 30.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.00%÷1.017×1.220——29.98%
BB% (unintentional) /PA12.50%÷1.018×0.690—×0.9988.45%
HBP% /PA1.79%—×0.850—×0.9981.51%
Singles /BIP19.40%÷1.045×0.940×1.016×0.99817.70%
Doubles /BIP7.46%÷1.053×0.870×1.016×0.9986.26%
Triples /BIP0.00%÷1.060×0.920×1.016×0.9980.00%
Home runs /BIP5.97%÷0.995×0.780—×0.9984.67%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 109, 2B 111, 3B 112, K 103, BB 104 — 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 ×1.016.

Result: wOBA .331 → .268; ISO .179 → .144; 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 AAASyracuse Mets · 75 PAwOBA .306 → .260 (−47)K% 22.7% → 28.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.67%÷0.966×1.200——28.16%
BB% (unintentional) /PA8.00%÷1.006×0.690—×1.0335.67%
HBP% /PA0.00%—×0.940—×1.0330.00%
Singles /BIP26.92%÷1.032×0.930×1.050×1.03326.31%
Doubles /BIP3.85%÷0.897×0.830×1.050×1.0333.86%
Triples /BIP0.00%÷0.986×0.920×1.050×1.0330.00%
Home runs /BIP3.85%÷1.039×0.700—×1.0332.68%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 106, 2B 79, 3B 97, K 93, BB 101 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .306 → .260; ISO .116 → .085; BABIP .320 → .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 AAMontgomery Biscuits · 295 PAwOBA .294 → .253 (−41)K% 23.1% → 28.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.05%÷0.985×1.220——28.55%
BB% (unintentional) /PA9.83%÷0.963×0.680—×1.0277.13%
HBP% /PA0.34%—×0.840—×1.0270.29%
Singles /BIP20.10%÷0.978×0.920×1.000×1.02719.42%
Doubles /BIP5.15%÷1.028×0.910×1.000×1.0274.68%
Triples /BIP1.55%÷1.150×0.880×1.000×1.0271.21%
Home runs /BIP3.61%÷0.920×0.800—×1.0273.22%

Factors used: league row SL. Park (home-season share, regressed): HR 84, 1B 96, 2B 106, 3B 130, K 97, BB 93 — 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 ×1.000.

Result: wOBA .294 → .253; ISO .141 → .121; BABIP .275 → .259. 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 AAMontgomery Biscuits · 276 PAwOBA .275 → .260 (−14)K% 21.4% → 24.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.38%÷1.055×1.220——24.71%
BB% (unintentional) /PA7.25%÷1.031×0.680—×1.0424.98%
HBP% /PA0.00%—×0.840—×1.0420.00%
Singles /BIP20.73%÷0.965×0.920×1.050×1.04221.63%
Doubles /BIP6.74%÷1.007×0.910×1.050×1.0426.66%
Triples /BIP0.52%÷1.010×0.880×1.050×1.0420.49%
Home runs /BIP2.07%÷0.984×0.800—×1.0421.75%

Factors used: league row SL. Park (home-season share, regressed): HR 97, 1B 93, 2B 101, 3B 102, K 111, BB 106 — 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 ×1.050.

Result: wOBA .275 → .260; ISO .107 → .099; BABIP .281 → .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).

2018 A+Charlotte Stone Crabs · 117 PAwOBA .373 → .320 (−53)K% 19.7% → 28.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.66%÷0.983×1.420——28.39%
BB% (unintentional) /PA6.84%÷1.022×0.750—×1.0125.08%
HBP% /PA3.42%—×0.930—×1.0123.22%
Singles /BIP27.16%÷1.031×0.920×1.030×1.01225.27%
Doubles /BIP9.88%÷1.012×0.960×1.030×1.0129.77%
Triples /BIP1.23%÷1.150×0.810×1.030×1.0120.91%
Home runs /BIP2.47%÷0.857×0.880—×1.0122.57%

Factors used: league row FSL. Park (home-season share, regressed): HR 71, 1B 106, 2B 102, 3B 130, K 97, BB 104 — 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 ×1.030.

Result: wOBA .373 → .320; ISO .154 → .137; BABIP .388 → .364. 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 A+Charlotte Stone Crabs · 338 PAwOBA .239 → .206 (−33)K% 21.6% → 30.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.60%÷1.017×1.420——30.16%
BB% (unintentional) /PA6.51%÷0.967×0.750—×1.0275.18%
HBP% /PA2.37%—×0.930—×1.0272.26%
Singles /BIP20.87%÷1.073×0.920×1.050×1.02719.29%
Doubles /BIP5.22%÷1.007×0.960×1.050×1.0275.36%
Triples /BIP0.43%÷1.024×0.810×1.050×1.0270.37%
Home runs /BIP0.00%÷0.917×0.880—×1.0270.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 83, 1B 115, 2B 102, 3B 105, K 103, BB 93 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .239 → .206; ISO .046 → .042; BABIP .261 → .246. 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 ABowling Green Hot Rods · 472 PAwOBA .298 → .260 (−38)K% 18.6% → 24.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.64%÷1.018×1.360——24.90%
BB% (unintentional) /PA9.11%÷0.999×0.690—×1.0306.48%
HBP% /PA1.48%—×0.780—×1.0301.19%
Singles /BIP22.56%÷1.007×0.920×1.050×1.03022.28%
Doubles /BIP4.88%÷0.945×0.830×1.050×1.0304.63%
Triples /BIP0.30%÷0.956×0.910×1.050×1.0300.31%
Home runs /BIP2.74%÷1.028×0.800—×1.0302.20%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 106, 1B 101, 2B 89, 3B 91, K 104, BB 100 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .298 → .260; ISO .108 → .091; BABIP .282 → .275. 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 — .