Randy Ventura
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2017 | 20 | ACIN | 531 | .290/.340/.342 | 2 | 38 | 63 | — | .261/.296/.301 |
| 2018 | 21 | A+/ACIN | 312 | .280/.338/.304 | 0 | 15 | 60 | — | .251/.296/.271 |
| 2019 | 22 | A+/ACIN | 366 | .231/.308/.259 | 0 | 13 | 25 | — | .186/.245/.210 |
Career Stats + Projections
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.
| Year | Age | Lvl | Team | MLB% | PA | AB | H | 2B | 3B | HR | BB | SO | HBP | SB | CS | AVG | OBP | SLG | OPS | ISO | BABIP | K% | BB% | wOBA | wRC+ | BAT | RUN | FLD | POS | REP | WAR |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ▸ Career — actual stats, one row per stint (as recorded, no adjustments) | |||||||||||||||||||||||||||||||
| 2015 | 18 | ROK | DSL Braves | — | 275 | 232 | 76 | 12 | 2 | 0 | 35 | 28 | 3 | 55 | 9 | 328 | 422 | 397 | 819 | 69 | 369 | 10 | 13 | 369 | 64 | — | — | — | — | — | — |
| 2016 | 19 | ROK | GCL Braves | — | 227 | 194 | 55 | 2 | 4 | 1 | 25 | 31 | 1 | 15 | 6 | 284 | 368 | 351 | 719 | 67 | 321 | 14 | 11 | 320 | 60 | — | — | — | — | — | — |
| 2017 | 20 | A | Dayton Dragons | — | 531 | 486 | 141 | 15 | 2 | 2 | 35 | 103 | 2 | 38 | 14 | 290 | 340 | 342 | 682 | 51 | 363 | 19 | 7 | 307 | 63 | — | — | — | — | — | — |
| 2018 | 21 | A+ | Daytona Tortugas | — | 280 | 254 | 74 | 7 | 0 | 0 | 24 | 51 | 1 | 10 | 5 | 291 | 355 | 319 | 674 | 28 | 365 | 18 | 9 | 311 | 70 | — | — | — | — | — | — |
| 2018 | 21 | A | Dayton Dragons | — | 32 | 32 | 6 | 0 | 0 | 0 | 0 | 8 | 0 | 5 | 1 | 188 | 188 | 188 | 375 | 250 | 25 | 0 | 170 | -24 | — | — | — | — | — | — | |
| 2019 | 22 | A+ | Daytona Tortugas | — | 114 | 93 | 21 | 2 | 0 | 0 | 17 | 29 | 1 | 3 | 0 | 226 | 351 | 247 | 599 | 22 | 313 | 25 | 15 | 284 | 47 | — | — | — | — | — | — |
| 2019 | 22 | A | Dayton Dragons | — | 252 | 231 | 54 | 3 | 2 | 0 | 17 | 57 | 1 | 10 | 1 | 234 | 289 | 264 | 553 | 30 | 307 | 23 | 7 | 254 | 15 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2015 | 18 | ROK MLE | DSL Braves | — | 275 | 243 | 56 | 8 | 1 | 0 | 24 | 34 | 3 | 55 | 9 | 230 | 307 | 272 | 579 | 41 | 260 | 12 | 9 | 263 | 64 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | GCL Braves | — | 227 | 204 | 48 | 2 | 3 | 1 | 15 | 45 | 1 | 15 | 6 | 235 | 291 | 289 | 580 | 54 | 274 | 20 | 7 | 257 | 60 | — | — | — | — | — | — |
| 2017 | 20 | A MLE | Dayton Dragons | — | 531 | 498 | 130 | 13 | 2 | 1 | 23 | 142 | 2 | 38 | 14 | 261 | 296 | 301 | 598 | 40 | 352 | 27 | 4 | 262 | 63 | — | — | — | — | — | — |
| 2018 | 21 | A+ MLE | Daytona Tortugas | — | 280 | 260 | 68 | 6 | 0 | 0 | 18 | 70 | 1 | 10 | 5 | 262 | 312 | 285 | 596 | 23 | 358 | 25 | 6 | 271 | 70 | — | — | — | — | — | — |
| 2018 | 21 | A MLE | Dayton Dragons | — | 32 | 32 | 5 | 0 | 0 | 0 | 0 | 11 | 0 | 5 | 1 | 156 | 156 | 156 | 312 | 229 | 34 | 0 | 132 | -24 | — | — | — | — | — | — | |
| 2019 | 22 | A+ MLE | Daytona Tortugas | — | 114 | 97 | 19 | 2 | 0 | 0 | 13 | 42 | 1 | 3 | 0 | 196 | 297 | 216 | 514 | 21 | 300 | 37 | 11 | 237 | 47 | — | — | — | — | — | — |
| 2019 | 22 | A MLE | Dayton Dragons | — | 252 | 237 | 43 | 2 | 2 | 0 | 11 | 81 | 1 | 10 | 1 | 181 | 221 | 207 | 428 | 25 | 264 | 32 | 4 | 190 | 15 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | DSL Braves | — | 275 | 243 | 56 | 8 | 1 | 0 | 24 | 34 | 3 | 55 | 9 | 230 | 307 | 272 | 579 | 41 | 265 | 12 | 9 | 263 | 64 | — | — | — | — | — | — |
| 2015 | 18 | ROK RAW | DSL Braves | — | 275 | 232 | 76 | 12 | 2 | 0 | 35 | 28 | 3 | 55 | 9 | 328 | 422 | 397 | 819 | 69 | 369 | 10 | 13 | 369 | 64 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | GCL Braves | — | 227 | 204 | 48 | 2 | 3 | 1 | 15 | 45 | 1 | 15 | 6 | 235 | 291 | 289 | 580 | 54 | 287 | 20 | 7 | 257 | 60 | — | — | — | — | — | — |
| 2016 | 19 | ROK RAW | GCL Braves | — | 227 | 194 | 55 | 2 | 4 | 1 | 25 | 31 | 1 | 15 | 6 | 284 | 368 | 351 | 719 | 67 | 321 | 14 | 11 | 320 | 60 | — | — | — | — | — | — |
| 2017 | 20 | A MLE | Dayton Dragons | — | 531 | 498 | 130 | 13 | 2 | 1 | 23 | 142 | 2 | 38 | 14 | 261 | 296 | 301 | 598 | 40 | 361 | 27 | 4 | 262 | 63 | — | — | — | — | — | — |
| 2017 | 20 | A RAW | Dayton Dragons | — | 531 | 486 | 141 | 15 | 2 | 2 | 35 | 103 | 2 | 38 | 14 | 290 | 340 | 342 | 682 | 51 | 363 | 19 | 7 | 307 | 63 | — | — | — | — | — | — |
| 2018 | 21 | A+ MLE | 2 teams | — | 312 | 292 | 73 | 6 | 0 | 0 | 18 | 81 | 1 | 15 | 6 | 250 | 296 | 271 | 566 | 21 | 346 | 26 | 6 | 257 | 60 | — | — | — | — | — | — |
| 2018 | 21 | A+ RAW | 2 teams | — | 312 | 286 | 80 | 7 | 0 | 0 | 24 | 59 | 1 | 15 | 6 | 280 | 338 | 304 | 642 | 24 | 352 | 19 | 8 | 297 | 60 | — | — | — | — | — | — |
| 2019 | 22 | A MLE | 2 teams | — | 366 | 334 | 61 | 4 | 2 | 0 | 24 | 123 | 2 | 13 | 1 | 183 | 242 | 207 | 448 | 24 | 282 | 34 | 7 | 205 | 25 | — | — | — | — | — | — |
| 2019 | 22 | A RAW | 2 teams | — | 366 | 324 | 75 | 5 | 2 | 0 | 34 | 86 | 2 | 13 | 1 | 231 | 308 | 259 | 568 | 28 | 309 | 23 | 9 | 263 | 25 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | DSL Braves | — | 275 | 246 | 56 | 8 | 1 | 0 | 24 | 34 | 3 | 55 | 9 | 228 | 307 | 268 | 576 | 41 | 260 | 12 | 9 | 263 | 64 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | GCL Braves | — | 227 | 209 | 48 | 2 | 3 | 1 | 15 | 45 | 1 | 15 | 6 | 230 | 291 | 282 | 573 | 53 | 274 | 20 | 7 | 257 | 60 | — | — | — | — | — | — |
| 2017 | 20 | A MLE | Dayton Dragons | — | 531 | 501 | 130 | 13 | 2 | 1 | 23 | 142 | 2 | 38 | 14 | 259 | 296 | 299 | 596 | 40 | 352 | 27 | 4 | 262 | 63 | — | — | — | — | — | — |
| 2018 | 21 | A+ MLE | 2 teams | — | 312 | 290 | 73 | 6 | 0 | 0 | 18 | 81 | 1 | 15 | 6 | 252 | 296 | 272 | 568 | 21 | 345 | 26 | 6 | 257 | 60 | — | — | — | — | — | — |
| 2019 | 22 | A MLE | 2 teams | — | 366 | 337 | 61 | 4 | 2 | 0 | 24 | 123 | 2 | 13 | 1 | 181 | 242 | 205 | 446 | 24 | 275 | 34 | 7 | 205 | 25 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1711 | 1571 | 368 | 33 | 8 | 2 | 104 | 425 | 9 | 136 | 36 | 234 | 286 | 269 | 555 | 35 | 316 | 25 | 6 | 248 | 54 | -93 | +13 | +0 | +6 | +37 | -3.8 | |
| / 162G | — | MLE | — | 650 | 597 | 140 | 13 | 3 | 1 | 40 | 161 | 3 | 52 | 14 | 235 | 286 | 271 | 558 | 37 | 315 | 25 | 6 | 248 | 54 | -35 | +5 | +0 | +2 | +14 | -1.5 | |
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 ADayton Dragons · 252 PAwOBA .250 → .190 (−59)K% 22.6% → 32.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.62% | ÷0.953 | ×1.360 | — | — | 32.29% |
| BB% (unintentional) /PA | 6.75% | ÷1.044 | ×0.690 | — | — | 4.46% |
| HBP% /PA | 0.40% | — | ×0.780 | — | — | 0.31% |
| Singles /BIP | 28.16% | ÷1.033 | ×0.920 | ×0.969 | — | 24.30% |
| Doubles /BIP | 1.72% | ÷0.950 | ×0.830 | ×0.969 | — | 1.46% |
| Triples /BIP | 1.15% | ÷1.024 | ×0.910 | ×0.969 | — | 0.99% |
| Home runs /BIP | 0.00% | ÷0.950 | ×0.800 | — | — | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 107, 2B 90, 3B 105, K 91, BB 109 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.969.
Result: wOBA .250 → .190; ISO .030 → .024; BABIP .307 → .264. 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 A+Daytona Tortugas · 114 PAwOBA .285 → .237 (−48)K% 25.4% → 36.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.44% | ÷0.985 | ×1.420 | — | — | 36.68% |
| BB% (unintentional) /PA | 14.91% | ÷1.016 | ×0.750 | — | ×1.012 | 11.14% |
| HBP% /PA | 0.88% | — | ×0.930 | — | ×1.012 | 0.83% |
| Singles /BIP | 29.69% | ÷0.965 | ×0.920 | — | ×1.012 | 28.64% |
| Doubles /BIP | 3.12% | ÷1.042 | ×0.960 | — | ×1.012 | 2.91% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.810 | — | ×1.012 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.101 | ×0.880 | — | ×1.012 | 0.00% |
Factors used: league row FSL. Park (home-season share, regressed): HR 120, 1B 93, 2B 108, 3B 130, K 97, BB 103 — 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).
Result: wOBA .285 → .237; ISO .022 → .018; BABIP .313 → .300. 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+Daytona Tortugas · 280 PAwOBA .302 → .271 (−31)K% 18.2% → 25.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.21% | ÷1.035 | ×1.420 | — | — | 24.99% |
| BB% (unintentional) /PA | 8.21% | ÷0.994 | ×0.750 | — | ×1.027 | 6.36% |
| HBP% /PA | 0.36% | — | ×0.930 | — | ×1.027 | 0.34% |
| Singles /BIP | 33.00% | ÷1.006 | ×0.920 | ×1.050 | ×1.027 | 32.55% |
| Doubles /BIP | 3.45% | ÷1.088 | ×0.960 | ×1.050 | ×1.027 | 3.28% |
| Triples /BIP | 0.00% | ÷1.047 | ×0.810 | ×1.050 | ×1.027 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.058 | ×0.880 | — | ×1.027 | 0.00% |
Factors used: league row FSL. Park (home-season share, regressed): HR 112, 1B 101, 2B 118, 3B 109, K 107, BB 99 — 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 .302 → .271; ISO .028 → .025; BABIP .365 → .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).
2018 ADayton Dragons · 32 PAwOBA .165 → .132 (−33)K% 25.0% → 34.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.00% | ÷0.987 | ×1.360 | — | — | 34.44% |
| BB% (unintentional) /PA | 0.00% | ÷1.097 | ×0.690 | — | ×1.015 | 0.00% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×1.015 | 0.00% |
| Singles /BIP | 25.00% | ÷1.019 | ×0.920 | — | ×1.015 | 22.92% |
| Doubles /BIP | 0.00% | ÷0.942 | ×0.830 | — | ×1.015 | 0.00% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.910 | — | ×1.015 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.103 | ×0.800 | — | ×1.015 | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 121, 1B 104, 2B 88, 3B 80, K 97, BB 119 — 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).
Result: wOBA .165 → .132; ISO .000 → .000; BABIP .250 → .229. 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 ADayton Dragons · 531 PAwOBA .300 → .262 (−38)K% 19.4% → 26.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.40% | ÷0.984 | ×1.360 | — | — | 26.80% |
| BB% (unintentional) /PA | 6.59% | ÷1.055 | ×0.690 | — | ×1.030 | 4.44% |
| HBP% /PA | 0.38% | — | ×0.780 | — | ×1.030 | 0.30% |
| Singles /BIP | 31.85% | ÷1.005 | ×0.920 | ×1.042 | ×1.030 | 31.28% |
| Doubles /BIP | 3.92% | ÷0.999 | ×0.830 | ×1.042 | ×1.030 | 3.49% |
| Triples /BIP | 0.52% | ÷1.150 | ×0.910 | ×1.042 | ×1.030 | 0.44% |
| Home runs /BIP | 0.52% | ÷1.168 | ×0.800 | — | ×1.030 | 0.37% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 134, 1B 101, 2B 100, 3B 130, K 97, BB 111 — 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 ×1.042.
Result: wOBA .300 → .262; ISO .051 → .041; BABIP .363 → .352. 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 ROKGCL Braves · 227 PAwOBA .320 → .257 (−62)K% 13.7% → 19.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.66% | ÷1.000 | ×1.440 | — | — | 19.67% |
| BB% (unintentional) /PA | 10.57% | ÷1.000 | ×0.620 | — | ×1.008 | 6.60% |
| HBP% /PA | 0.44% | — | ×0.720 | — | ×1.008 | 0.32% |
| Singles /BIP | 29.45% | ÷1.000 | ×0.820 | ×1.046 | ×1.008 | 25.44% |
| Doubles /BIP | 1.23% | ÷1.000 | ×0.720 | ×1.046 | ×1.008 | 0.93% |
| Triples /BIP | 2.45% | ÷1.000 | ×0.720 | ×1.046 | ×1.008 | 1.86% |
| Home runs /BIP | 0.61% | ÷1.000 | ×0.780 | — | ×1.008 | 0.48% |
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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.046.
Result: wOBA .320 → .257; ISO .067 → .052; BABIP .321 → .274. 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 Braves · 275 PAwOBA .361 → .263 (−99)K% 10.2% → 12.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.18% | ÷1.000 | ×1.220 | — | — | 12.42% |
| BB% (unintentional) /PA | 12.36% | ÷1.000 | ×0.700 | — | ×1.008 | 8.72% |
| HBP% /PA | 1.09% | — | ×0.700 | — | ×1.008 | 0.77% |
| Singles /BIP | 30.39% | ÷1.000 | ×0.680 | ×1.050 | ×1.008 | 21.86% |
| Doubles /BIP | 5.88% | ÷1.000 | ×0.600 | ×1.050 | ×1.008 | 3.73% |
| Triples /BIP | 0.98% | ÷1.000 | ×0.600 | ×1.050 | ×1.008 | 0.62% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.470 | — | ×1.008 | 0.00% |
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 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 .361 → .263; ISO .069 → .046; BABIP .369 → .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).