Gabriel Lino
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR |
|---|---|---|---|---|---|---|---|---|
| 2023 | 30 | INTLLeones del Ca… | 55 | .318/.444/.477 | 2 | 0 | 162 | — |
| 2024 | 31 | INTLLeones del Ca… | 59 | .208/.276/.264 | 0 | 0 | 54 | — |
| 2025 | 32 | INTLLeones del Ca… | 17 | .143/.294/.143 | 0 | 0 | 43 | — |
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. 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.
| 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) | |||||||||||||||||||||||||||||||
| 2010 | 17 | ROK | DSL Orioles 2 | — | 183 | 140 | 28 | 10 | 0 | 0 | 28 | 21 | 9 | 4 | 0 | 200 | 367 | 271 | 639 | 71 | 228 | 11 | 15 | 302 | 30 | — | — | — | — | — | — |
| 2011 | 18 | ROK | GCL Orioles | — | 89 | 78 | 22 | 6 | 1 | 2 | 8 | 13 | 3 | 1 | 0 | 282 | 371 | 462 | 832 | 179 | 317 | 15 | 9 | 371 | 65 | — | — | — | — | — | — |
| 2012 | 19 | A | Lakewood BlueClaws | — | 375 | 338 | 75 | 23 | 0 | 7 | 30 | 97 | 5 | 1 | 3 | 222 | 295 | 352 | 647 | 130 | 288 | 26 | 8 | 292 | 42 | — | — | — | — | — | — |
| 2013 | 20 | A | Lakewood BlueClaws | — | 37 | 33 | 8 | 3 | 1 | 0 | 1 | 13 | 2 | 0 | 1 | 242 | 306 | 394 | 699 | 152 | 381 | 35 | 3 | 304 | 48 | — | — | — | — | — | — |
| 2013 | 20 | INTL | Cardenales de Lara | — | 26 | 23 | 7 | 0 | 0 | 1 | 3 | 10 | 0 | 0 | 0 | 304 | 385 | 435 | 819 | 130 | 500 | 38 | 12 | 369 | 136 | — | — | — | — | — | — |
| 2014 | 21 | A+ | Clearwater Threshers | — | 261 | 238 | 53 | 7 | 0 | 4 | 18 | 68 | 2 | 0 | 3 | 223 | 283 | 303 | 585 | 80 | 292 | 26 | 7 | 266 | 33 | — | — | — | — | — | — |
| 2014 | 21 | A | Lakewood BlueClaws | — | 60 | 50 | 9 | 5 | 0 | 1 | 9 | 23 | 0 | 0 | 0 | 180 | 305 | 340 | 645 | 160 | 296 | 38 | 15 | 292 | 32 | — | — | — | — | — | — |
| 2014 | 21 | INTL | Cardenales de Lara | — | 98 | 87 | 21 | 7 | 0 | 0 | 11 | 27 | 0 | 0 | 1 | 241 | 327 | 322 | 648 | 80 | 350 | 28 | 11 | 299 | 89 | — | — | — | — | — | — |
| 2015 | 22 | AAA | Lehigh Valley IronPigs | — | 206 | 195 | 42 | 11 | 0 | 0 | 8 | 56 | 0 | 0 | 2 | 215 | 246 | 272 | 518 | 56 | 298 | 27 | 4 | 232 | 17 | — | — | — | — | — | — |
| 2015 | 22 | AA | Reading Fightin Phils | — | 123 | 109 | 29 | 9 | 0 | 3 | 10 | 25 | 2 | 0 | 0 | 266 | 339 | 431 | 770 | 165 | 313 | 20 | 8 | 338 | 91 | — | — | — | — | — | — |
| 2015 | 22 | INTL | Cardenales de Lara | — | 151 | 137 | 30 | 6 | 1 | 0 | 11 | 34 | 1 | 0 | 2 | 219 | 282 | 277 | 559 | 58 | 286 | 23 | 7 | 255 | 59 | — | — | — | — | — | — |
| 2016 | 23 | AA | Reading Fightin Phils | — | 73 | 63 | 20 | 4 | 0 | 3 | 7 | 13 | 3 | 0 | 0 | 317 | 411 | 524 | 935 | 206 | 362 | 18 | 10 | 414 | 112 | — | — | — | — | — | — |
| 2016 | 23 | A+ | Clearwater Threshers | — | 148 | 136 | 27 | 5 | 0 | 2 | 10 | 33 | 2 | 0 | 0 | 199 | 264 | 279 | 543 | 81 | 248 | 22 | 7 | 251 | 24 | — | — | — | — | — | — |
| 2016 | 23 | INTL | Cardenales de Lara | — | 39 | 37 | 7 | 1 | 1 | 0 | 1 | 11 | 0 | 0 | 0 | 189 | 211 | 270 | 481 | 81 | 259 | 28 | 3 | 208 | 27 | — | — | — | — | — | — |
| 2017 | 24 | AAA | Memphis Redbirds | — | 82 | 72 | 17 | 5 | 0 | 1 | 9 | 21 | 0 | 0 | 0 | 236 | 321 | 347 | 668 | 111 | 314 | 26 | 11 | 302 | 52 | — | — | — | — | — | — |
| 2017 | 24 | AA | Springfield Cardinals | — | 218 | 191 | 51 | 15 | 1 | 4 | 17 | 59 | 6 | 0 | 0 | 267 | 346 | 419 | 765 | 152 | 356 | 27 | 8 | 337 | 68 | — | — | — | — | — | — |
| 2017 | 24 | INTL | Bravos de Margarita | — | 61 | 59 | 8 | 1 | 0 | 1 | 2 | 19 | 0 | 0 | 0 | 136 | 164 | 203 | 367 | 68 | 179 | 31 | 3 | 167 | -1 | — | — | — | — | — | — |
| 2018 | 25 | A+ | Clearwater Threshers | — | 61 | 56 | 12 | 1 | 0 | 2 | 4 | 17 | 1 | 0 | 0 | 214 | 279 | 339 | 618 | 125 | 270 | 28 | 7 | 281 | 24 | — | — | — | — | — | — |
| 2018 | 25 | INTL | Tigres de Aragua | — | 69 | 62 | 12 | 2 | 0 | 2 | 3 | 19 | 2 | 0 | 0 | 194 | 254 | 323 | 576 | 129 | 238 | 28 | 4 | 254 | 58 | — | — | — | — | — | — |
| 2019 | 26 | INTL | Caribes de Anzoategui | — | 100 | 89 | 27 | 3 | 0 | 4 | 9 | 15 | 0 | 0 | 0 | 303 | 367 | 472 | 839 | 169 | 319 | 15 | 9 | 366 | 134 | — | — | — | — | — | — |
| 2020 | 27 | INTL | Caribes de Anzoategui | — | 21 | 17 | 3 | 0 | 0 | 1 | 2 | 5 | 1 | 0 | 0 | 176 | 300 | 353 | 653 | 176 | 182 | 24 | 10 | 287 | 80 | — | — | — | — | — | — |
| 2022 | 29 | INTL | Caribes de Anzoategui | — | 42 | 38 | 6 | 2 | 0 | 1 | 4 | 11 | 0 | 0 | 0 | 158 | 238 | 289 | 528 | 132 | 192 | 26 | 10 | 242 | 50 | — | — | — | — | — | — |
| 2023 | 30 | INTL | Leones del Caracas | — | 55 | 44 | 14 | 1 | 0 | 2 | 9 | 12 | 1 | 0 | 0 | 318 | 444 | 477 | 922 | 159 | 387 | 22 | 16 | 408 | 162 | — | — | — | — | — | — |
| 2024 | 31 | INTL | Leones del Caracas | — | 59 | 53 | 11 | 3 | 0 | 0 | 4 | 16 | 1 | 0 | 0 | 208 | 276 | 264 | 540 | 57 | 289 | 27 | 7 | 248 | 54 | — | — | — | — | — | — |
| 2025 | 32 | INTL | Leones del Caracas | — | 17 | 14 | 2 | 0 | 0 | 0 | 2 | 4 | 1 | 0 | 0 | 143 | 294 | 143 | 437 | 200 | 24 | 12 | 232 | 43 | — | — | — | — | — | — | |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2010 | 17 | ROK MLE | DSL Orioles 2 | — | 183 | 148 | 19 | 6 | 0 | 0 | 20 | 26 | 9 | 4 | 0 | 128 | 271 | 169 | 440 | 41 | 146 | 14 | 11 | 213 | 30 | — | — | — | — | — | — |
| 2011 | 18 | ROK MLE | GCL Orioles | — | 89 | 81 | 17 | 4 | 1 | 2 | 5 | 19 | 3 | 1 | 0 | 210 | 281 | 358 | 639 | 148 | 247 | 21 | 6 | 265 | 65 | — | — | — | — | — | — |
| 2012 | 19 | A MLE | Lakewood BlueClaws | — | 375 | 349 | 64 | 18 | 0 | 6 | 19 | 135 | 5 | 1 | 3 | 183 | 236 | 287 | 522 | 103 | 270 | 36 | 5 | 230 | 42 | — | — | — | — | — | — |
| 2013 | 20 | A MLE | Lakewood BlueClaws | — | 37 | 33 | 6 | 2 | 1 | 0 | 1 | 17 | 2 | 0 | 1 | 182 | 250 | 303 | 553 | 121 | 346 | 46 | 3 | 239 | 48 | — | — | — | — | — | — |
| 2014 | 21 | A+ MLE | Clearwater Threshers | — | 261 | 241 | 44 | 6 | 0 | 3 | 15 | 94 | 2 | 0 | 3 | 183 | 236 | 245 | 481 | 62 | 276 | 36 | 6 | 217 | 33 | — | — | — | — | — | — |
| 2014 | 21 | A MLE | Lakewood BlueClaws | — | 60 | 53 | 8 | 4 | 0 | 1 | 6 | 30 | 0 | 0 | 0 | 151 | 237 | 283 | 520 | 132 | 262 | 50 | 10 | 216 | 32 | — | — | — | — | — | — |
| 2015 | 22 | AAA MLE | Lehigh Valley IronPigs | — | 206 | 197 | 37 | 7 | 0 | 0 | 6 | 66 | 0 | 0 | 2 | 188 | 212 | 223 | 435 | 36 | 273 | 32 | 3 | 193 | 17 | — | — | — | — | — | — |
| 2015 | 22 | AA MLE | Reading Fightin Phils | — | 123 | 113 | 27 | 8 | 0 | 2 | 6 | 29 | 2 | 0 | 0 | 239 | 289 | 363 | 652 | 124 | 300 | 24 | 5 | 303 | 91 | — | — | — | — | — | — |
| 2016 | 23 | AA MLE | Reading Fightin Phils | — | 73 | 65 | 18 | 3 | 0 | 2 | 5 | 17 | 3 | 0 | 0 | 277 | 356 | 415 | 772 | 138 | 343 | 23 | 7 | 333 | 112 | — | — | — | — | — | — |
| 2016 | 23 | A+ MLE | Clearwater Threshers | — | 148 | 139 | 24 | 5 | 0 | 2 | 7 | 48 | 2 | 0 | 0 | 173 | 223 | 252 | 475 | 79 | 237 | 32 | 5 | 203 | 24 | — | — | — | — | — | — |
| 2017 | 24 | AAA MLE | Memphis Redbirds | — | 82 | 75 | 15 | 4 | 0 | 1 | 6 | 27 | 0 | 0 | 0 | 200 | 259 | 293 | 553 | 93 | 285 | 33 | 7 | 245 | 52 | — | — | — | — | — | — |
| 2017 | 24 | AA MLE | Springfield Cardinals | — | 218 | 197 | 43 | 12 | 1 | 2 | 11 | 73 | 6 | 0 | 0 | 218 | 280 | 320 | 600 | 102 | 314 | 33 | 5 | 269 | 68 | — | — | — | — | — | — |
| 2018 | 25 | A+ MLE | Clearwater Threshers | — | 61 | 57 | 9 | 1 | 0 | 1 | 3 | 24 | 1 | 0 | 0 | 158 | 213 | 228 | 441 | 70 | 251 | 39 | 5 | 203 | 24 | — | — | — | — | — | — |
| 2010 | 17 | ROK MLE | DSL Orioles 2 | — | 183 | 148 | 19 | 6 | 0 | 0 | 20 | 26 | 9 | 4 | 0 | 128 | 271 | 169 | 440 | 41 | 151 | 14 | 11 | 213 | 30 | — | — | — | — | — | — |
| 2010 | 17 | ROK RAW | DSL Orioles 2 | — | 183 | 140 | 28 | 10 | 0 | 0 | 28 | 21 | 9 | 4 | 0 | 200 | 367 | 271 | 639 | 71 | 228 | 11 | 15 | 302 | 30 | — | — | — | — | — | — |
| 2011 | 18 | ROK MLE | GCL Orioles | — | 89 | 81 | 17 | 4 | 1 | 2 | 5 | 19 | 3 | 1 | 0 | 210 | 281 | 358 | 639 | 148 | 250 | 21 | 6 | 265 | 65 | — | — | — | — | — | — |
| 2011 | 18 | ROK RAW | GCL Orioles | — | 89 | 78 | 22 | 6 | 1 | 2 | 8 | 13 | 3 | 1 | 0 | 282 | 371 | 462 | 832 | 179 | 317 | 15 | 9 | 371 | 65 | — | — | — | — | — | — |
| 2012 | 19 | A MLE | Lakewood BlueClaws | — | 375 | 349 | 64 | 18 | 0 | 6 | 19 | 135 | 5 | 1 | 3 | 183 | 236 | 287 | 522 | 103 | 276 | 36 | 5 | 230 | 42 | — | — | — | — | — | — |
| 2012 | 19 | A RAW | Lakewood BlueClaws | — | 375 | 338 | 75 | 23 | 0 | 7 | 30 | 97 | 5 | 1 | 3 | 222 | 295 | 352 | 647 | 130 | 288 | 26 | 8 | 292 | 42 | — | — | — | — | — | — |
| 2013 | 20 | A MLE | 2 teams | — | 63 | 59 | 11 | 4 | 1 | 0 | 1 | 29 | 2 | 0 | 1 | 186 | 226 | 288 | 514 | 102 | 355 | 46 | 2 | 239 | 48 | — | — | — | — | — | — |
| 2013 | 20 | A RAW | 2 teams | — | 63 | 56 | 15 | 3 | 1 | 1 | 4 | 23 | 2 | 0 | 1 | 268 | 339 | 411 | 749 | 143 | 424 | 37 | 6 | 331 | 48 | — | — | — | — | — | — |
| 2014 | 21 | A+ MLE | 3 teams | — | 419 | 387 | 67 | 13 | 0 | 5 | 26 | 162 | 2 | 0 | 4 | 173 | 229 | 245 | 474 | 72 | 278 | 39 | 6 | 217 | 33 | — | — | — | — | — | — |
| 2014 | 21 | A+ RAW | 3 teams | — | 419 | 375 | 83 | 19 | 0 | 5 | 38 | 118 | 2 | 0 | 4 | 221 | 296 | 312 | 608 | 91 | 306 | 28 | 9 | 277 | 33 | — | — | — | — | — | — |
| 2015 | 22 | AAA MLE | 3 teams | — | 480 | 452 | 96 | 23 | 0 | 4 | 18 | 138 | 3 | 0 | 4 | 212 | 247 | 290 | 537 | 77 | 291 | 29 | 4 | 234 | 45 | — | — | — | — | — | — |
| 2015 | 22 | AAA RAW | 3 teams | — | 480 | 441 | 101 | 26 | 1 | 3 | 29 | 115 | 3 | 0 | 4 | 229 | 281 | 313 | 594 | 84 | 298 | 24 | 6 | 267 | 45 | — | — | — | — | — | — |
| 2016 | 23 | A+ MLE | 3 teams | — | 260 | 240 | 47 | 9 | 0 | 4 | 14 | 76 | 5 | 0 | 0 | 196 | 255 | 283 | 538 | 87 | 267 | 29 | 5 | 246 | 53 | — | — | — | — | — | — |
| 2016 | 23 | A+ RAW | 3 teams | — | 260 | 236 | 54 | 10 | 1 | 5 | 18 | 57 | 5 | 0 | 0 | 229 | 297 | 343 | 641 | 114 | 280 | 22 | 7 | 290 | 53 | — | — | — | — | — | — |
| 2017 | 24 | AA MLE | 3 teams | — | 361 | 330 | 70 | 19 | 1 | 4 | 20 | 120 | 6 | 0 | 0 | 212 | 270 | 312 | 582 | 100 | 313 | 33 | 6 | 262 | 64 | — | — | — | — | — | — |
| 2017 | 24 | AA RAW | 3 teams | — | 361 | 322 | 76 | 21 | 1 | 6 | 28 | 99 | 6 | 0 | 0 | 236 | 309 | 363 | 672 | 127 | 315 | 27 | 8 | 300 | 64 | — | — | — | — | — | — |
| 2018 | 25 | INTL MLE | 2 teams | — | 130 | 119 | 20 | 2 | 0 | 3 | 6 | 52 | 3 | 0 | 0 | 168 | 227 | 261 | 487 | 92 | 262 | 40 | 5 | 203 | 24 | — | — | — | — | — | — |
| 2018 | 25 | INTL RAW | 2 teams | — | 130 | 118 | 24 | 3 | 0 | 4 | 7 | 36 | 3 | 0 | 0 | 203 | 266 | 331 | 596 | 127 | 253 | 28 | 5 | 267 | 24 | — | — | — | — | — | — |
| 2019 | 26 | INTL MLE | Caribes de Anzoategui | — | 100 | 89 | 27 | 3 | 0 | 4 | 9 | 15 | 0 | 0 | 0 | 303 | 367 | 472 | 839 | 169 | 319 | 15 | 9 | — | — | — | — | — | — | — | — |
| 2019 | 26 | INTL RAW | Caribes de Anzoategui | — | 100 | 89 | 27 | 3 | 0 | 4 | 9 | 15 | 0 | 0 | 0 | 303 | 367 | 472 | 839 | 169 | 319 | 15 | 9 | 366 | 134 | — | — | — | — | — | — |
| 2020 | 27 | INTL MLE | Caribes de Anzoategui | — | 21 | 17 | 3 | 0 | 0 | 1 | 2 | 5 | 1 | 0 | 0 | 176 | 300 | 353 | 653 | 176 | 182 | 24 | 10 | — | — | — | — | — | — | — | — |
| 2020 | 27 | INTL RAW | Caribes de Anzoategui | — | 21 | 17 | 3 | 0 | 0 | 1 | 2 | 5 | 1 | 0 | 0 | 176 | 300 | 353 | 653 | 176 | 182 | 24 | 10 | 287 | 80 | — | — | — | — | — | — |
| 2022 | 29 | INTL MLE | Caribes de Anzoategui | — | 42 | 38 | 6 | 2 | 0 | 1 | 4 | 11 | 0 | 0 | 0 | 158 | 238 | 289 | 528 | 132 | 192 | 26 | 10 | — | — | — | — | — | — | — | — |
| 2022 | 29 | INTL RAW | Caribes de Anzoategui | — | 42 | 38 | 6 | 2 | 0 | 1 | 4 | 11 | 0 | 0 | 0 | 158 | 238 | 289 | 528 | 132 | 192 | 26 | 10 | 242 | 50 | — | — | — | — | — | — |
| 2023 | 30 | INTL MLE | Leones del Caracas | — | 55 | 44 | 14 | 1 | 0 | 2 | 9 | 12 | 1 | 0 | 0 | 318 | 444 | 477 | 922 | 159 | 387 | 22 | 16 | — | — | — | — | — | — | — | — |
| 2023 | 30 | INTL RAW | Leones del Caracas | — | 55 | 44 | 14 | 1 | 0 | 2 | 9 | 12 | 1 | 0 | 0 | 318 | 444 | 477 | 922 | 159 | 387 | 22 | 16 | 408 | 162 | — | — | — | — | — | — |
| 2024 | 31 | INTL MLE | Leones del Caracas | — | 59 | 53 | 11 | 3 | 0 | 0 | 4 | 16 | 1 | 0 | 0 | 208 | 276 | 264 | 540 | 57 | 289 | 27 | 7 | — | — | — | — | — | — | — | — |
| 2024 | 31 | INTL RAW | Leones del Caracas | — | 59 | 53 | 11 | 3 | 0 | 0 | 4 | 16 | 1 | 0 | 0 | 208 | 276 | 264 | 540 | 57 | 289 | 27 | 7 | 248 | 54 | — | — | — | — | — | — |
| 2025 | 32 | INTL MLE | Leones del Caracas | — | 17 | 14 | 2 | 0 | 0 | 0 | 2 | 4 | 1 | 0 | 0 | 143 | 294 | 143 | 437 | 200 | 24 | 12 | — | — | — | — | — | — | — | — | |
| 2025 | 32 | INTL RAW | Leones del Caracas | — | 17 | 14 | 2 | 0 | 0 | 0 | 2 | 4 | 1 | 0 | 0 | 143 | 294 | 143 | 437 | 200 | 24 | 12 | 232 | 43 | — | — | — | — | — | — | |
| 2010 | 17 | ROK MLE | DSL Orioles 2 | — | 183 | 152 | 19 | 6 | 0 | 0 | 20 | 26 | 9 | 4 | 0 | 125 | 271 | 164 | 436 | 39 | 146 | 14 | 11 | 213 | 30 | — | — | — | — | — | — |
| 2011 | 18 | ROK MLE | GCL Orioles | — | 89 | 81 | 17 | 4 | 1 | 2 | 5 | 19 | 3 | 1 | 0 | 210 | 281 | 358 | 639 | 148 | 247 | 21 | 6 | 265 | 65 | — | — | — | — | — | — |
| 2012 | 19 | A MLE | Lakewood BlueClaws | — | 375 | 348 | 64 | 18 | 0 | 6 | 19 | 135 | 5 | 1 | 3 | 184 | 236 | 287 | 523 | 103 | 270 | 36 | 5 | 230 | 42 | — | — | — | — | — | — |
| 2013 | 20 | A MLE | 2 teams | — | 63 | 60 | 11 | 4 | 1 | 0 | 1 | 29 | 2 | 0 | 1 | 183 | 226 | 283 | 509 | 100 | 346 | 46 | 2 | 239 | 48 | — | — | — | — | — | — |
| 2014 | 21 | A+ MLE | 3 teams | — | 419 | 388 | 67 | 13 | 0 | 5 | 26 | 162 | 2 | 0 | 4 | 173 | 229 | 245 | 474 | 72 | 273 | 39 | 6 | 217 | 33 | — | — | — | — | — | — |
| 2015 | 22 | AAA MLE | 3 teams | — | 480 | 456 | 96 | 23 | 0 | 4 | 18 | 138 | 3 | 0 | 4 | 211 | 247 | 287 | 535 | 77 | 283 | 29 | 4 | 234 | 45 | — | — | — | — | — | — |
| 2016 | 23 | A+ MLE | 3 teams | — | 260 | 239 | 47 | 9 | 0 | 4 | 14 | 76 | 5 | 0 | 0 | 197 | 255 | 285 | 539 | 88 | 272 | 29 | 5 | 246 | 53 | — | — | — | — | — | — |
| 2017 | 24 | AA MLE | 3 teams | — | 361 | 332 | 70 | 19 | 1 | 4 | 20 | 120 | 6 | 0 | 0 | 211 | 270 | 310 | 580 | 99 | 306 | 33 | 6 | 262 | 64 | — | — | — | — | — | — |
| 2018 | 25 | INTL MLE | 2 teams | — | 130 | 120 | 20 | 2 | 0 | 3 | 6 | 52 | 3 | 0 | 0 | 167 | 227 | 258 | 485 | 92 | 251 | 40 | 5 | 203 | 24 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 2654 | 2420 | 474 | 107 | 3 | 36 | 159 | 820 | 42 | 6 | 12 | 196 | 258 | 287 | 545 | 91 | 275 | 31 | 6 | 208 | 27 | -231 | -4 | +0 | +47 | +58 | -13.2 | |
| / 162G | — | MLE | — | 650 | 593 | 116 | 26 | 1 | 9 | 39 | 201 | 10 | 1 | 3 | 196 | 257 | 288 | 545 | 93 | 274 | 31 | 6 | 208 | 27 | -56 | -1 | +0 | +12 | +14 | -3.2 | |
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.
2018 A+Clearwater Threshers · 61 PAwOBA .273 → .203 (−70)K% 27.9% → 39.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.87% | ÷0.995 | ×1.420 | — | — | 39.76% |
| BB% (unintentional) /PA | 6.56% | ÷1.005 | ×0.750 | — | ×0.978 | 4.78% |
| HBP% /PA | 1.64% | — | ×0.930 | — | ×0.978 | 1.49% |
| Singles /BIP | 23.08% | ÷0.950 | ×0.920 | — | ×0.978 | 21.85% |
| Doubles /BIP | 2.56% | ÷1.028 | ×0.960 | — | ×0.978 | 2.34% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.810 | — | ×0.978 | 0.00% |
| Home runs /BIP | 5.13% | ÷1.197 | ×0.880 | — | ×0.978 | 3.69% |
Factors used: league row FSL. Park (home-season share, regressed): HR 139, 1B 90, 2B 106, 3B 100, K 99, BB 101 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).
Result: wOBA .273 → .203; ISO .125 → .079; BABIP .270 → .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 AASpringfield Cardinals · 218 PAwOBA .333 → .269 (−64)K% 27.1% → 33.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.06% | ÷0.990 | ×1.220 | — | — | 33.35% |
| BB% (unintentional) /PA | 7.34% | ÷1.048 | ×0.700 | — | ×1.012 | 4.96% |
| HBP% /PA | 2.75% | — | ×0.870 | — | ×1.012 | 2.42% |
| Singles /BIP | 23.48% | ÷0.992 | ×0.920 | ×0.984 | ×1.012 | 21.68% |
| Doubles /BIP | 11.36% | ÷1.009 | ×0.840 | ×0.984 | ×1.012 | 9.42% |
| Triples /BIP | 0.76% | ÷1.093 | ×0.940 | ×0.984 | ×1.012 | 0.65% |
| Home runs /BIP | 3.03% | ÷1.315 | ×0.800 | — | ×1.012 | 1.87% |
Factors used: league row TL. Park (home-season share, regressed): HR 163, 1B 98, 2B 102, 3B 119, K 98, BB 110 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.984.
Result: wOBA .333 → .269; ISO .152 → .110; BABIP .356 → .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).
2017 AAAMemphis Redbirds · 82 PAwOBA .293 → .245 (−48)K% 25.6% → 32.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.61% | ÷1.010 | ×1.290 | — | — | 32.72% |
| BB% (unintentional) /PA | 9.76% | ÷0.997 | ×0.710 | — | ×1.048 | 7.28% |
| HBP% /PA | 0.00% | — | ×0.980 | — | ×1.048 | 0.00% |
| Singles /BIP | 21.57% | ÷1.001 | ×0.900 | ×1.005 | ×1.048 | 20.43% |
| Doubles /BIP | 9.80% | ÷1.021 | ×0.810 | ×1.005 | ×1.048 | 8.19% |
| Triples /BIP | 0.00% | ÷1.135 | ×0.810 | ×1.005 | ×1.048 | 0.00% |
| Home runs /BIP | 1.96% | ÷0.980 | ×0.780 | — | ×1.048 | 1.64% |
Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 100, 2B 104, 3B 127, K 102, BB 99 — 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 ×1.005.
Result: wOBA .293 → .245; ISO .111 → .090; BABIP .314 → .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 A+Clearwater Threshers · 148 PAwOBA .244 → .203 (−41)K% 22.3% → 32.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.30% | ÷0.986 | ×1.420 | — | — | 32.12% |
| BB% (unintentional) /PA | 6.76% | ÷1.011 | ×0.750 | — | ×0.998 | 5.00% |
| HBP% /PA | 1.35% | — | ×0.930 | — | ×0.998 | 1.25% |
| Singles /BIP | 19.42% | ÷0.997 | ×0.920 | ×1.022 | ×0.998 | 18.27% |
| Doubles /BIP | 4.85% | ÷0.947 | ×0.960 | ×1.022 | ×0.998 | 5.02% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.810 | ×1.022 | ×0.998 | 0.00% |
| Home runs /BIP | 1.94% | ÷0.964 | ×0.880 | — | ×0.998 | 1.77% |
Factors used: league row FSL. Park (home-season share, regressed): HR 93, 1B 99, 2B 89, 3B 80, K 97, BB 102 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.
Result: wOBA .244 → .203; ISO .081 → .069; BABIP .248 → .237. 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 AAReading Fightin Phils · 73 PAwOBA .403 → .333 (−71)K% 17.8% → 23.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.81% | ÷0.936 | ×1.220 | — | — | 23.21% |
| BB% (unintentional) /PA | 9.59% | ÷1.042 | ×0.700 | — | ×1.027 | 6.62% |
| HBP% /PA | 4.11% | — | ×0.850 | — | ×1.027 | 3.59% |
| Singles /BIP | 26.00% | ÷1.002 | ×0.970 | ×1.002 | ×1.027 | 25.91% |
| Doubles /BIP | 8.00% | ÷0.998 | ×0.860 | ×1.002 | ×1.027 | 7.09% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.950 | ×1.002 | ×1.027 | 0.00% |
| Home runs /BIP | 6.00% | ÷1.273 | ×0.780 | — | ×1.027 | 3.78% |
Factors used: league row EL. Park (home-season share, regressed): HR 155, 1B 100, 2B 100, 3B 130, K 87, BB 108 — 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 ×1.002.
Result: wOBA .403 → .333; ISO .206 → .142; BABIP .362 → .343. 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 AAALehigh Valley IronPigs · 206 PAwOBA .228 → .193 (−35)K% 27.2% → 32.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.18% | ÷1.019 | ×1.200 | — | — | 32.01% |
| BB% (unintentional) /PA | 3.88% | ÷1.013 | ×0.690 | — | ×1.050 | 2.78% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.050 | 0.00% |
| Singles /BIP | 22.30% | ÷0.991 | ×0.930 | ×1.017 | ×1.050 | 22.33% |
| Doubles /BIP | 7.91% | ÷1.314 | ×0.830 | ×1.017 | ×1.050 | 5.34% |
| Triples /BIP | 0.00% | ÷0.921 | ×0.970 | ×1.017 | ×1.050 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.845 | ×0.840 | — | ×1.050 | 0.00% |
Factors used: league row IL. Park (home-season share, regressed): HR 69, 1B 98, 2B 163, 3B 84, K 104, BB 103 — 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 ×1.017.
Result: wOBA .228 → .193; ISO .056 → .037; BABIP .298 → .273. 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 AAReading Fightin Phils · 123 PAwOBA .332 → .303 (−29)K% 20.3% → 23.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.33% | ÷1.060 | ×1.220 | — | — | 23.39% |
| BB% (unintentional) /PA | 7.32% | ÷1.029 | ×0.700 | — | ×1.042 | 5.19% |
| HBP% /PA | 1.63% | — | ×0.850 | — | ×1.042 | 1.44% |
| Singles /BIP | 20.24% | ÷0.995 | ×0.970 | ×0.975 | ×1.042 | 20.03% |
| Doubles /BIP | 10.71% | ÷0.949 | ×0.860 | ×0.975 | ×1.042 | 9.86% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.950 | ×0.975 | ×1.042 | 0.00% |
| Home runs /BIP | 3.57% | ÷1.021 | ×0.780 | — | ×1.042 | 2.84% |
Factors used: league row EL. Park (home-season share, regressed): HR 104, 1B 99, 2B 90, 3B 130, K 112, 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 ×0.975.
Result: wOBA .332 → .303; ISO .165 → .145; 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).
2014 A+Clearwater Threshers · 261 PAwOBA .261 → .217 (−44)K% 26.1% → 36.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.05% | ÷1.028 | ×1.420 | — | — | 35.99% |
| BB% (unintentional) /PA | 6.90% | ÷0.946 | ×0.750 | — | ×1.027 | 5.62% |
| HBP% /PA | 0.77% | — | ×0.930 | — | ×1.027 | 0.73% |
| Singles /BIP | 24.71% | ÷0.971 | ×0.920 | ×0.969 | ×1.027 | 23.31% |
| Doubles /BIP | 4.12% | ÷0.965 | ×0.960 | ×0.969 | ×1.027 | 4.08% |
| Triples /BIP | 0.00% | ÷1.128 | ×0.810 | ×0.969 | ×1.027 | 0.00% |
| Home runs /BIP | 2.35% | ÷1.056 | ×0.880 | — | ×1.027 | 2.01% |
Factors used: league row FSL. Park (home-season share, regressed): HR 111, 1B 94, 2B 93, 3B 126, K 106, BB 89 — 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 ×0.969.
Result: wOBA .261 → .217; ISO .080 → .064; BABIP .292 → .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).
Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .