Josue Briceño
C Erie SeaWolves| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 19 | A/INTL2 orgs | 282 | .336/.431/.560 | 12 | 1 | 150 | — | .245/.318/.327 |
| 2025 | 20 | AA/A+DET | 442 | .266/.387/.500 | 20 | 1 | 109 | — | .235/.320/.439 |
| 2026 | 21 | AAA/AA/ADET | 160 | .259/.367/.504 | 9 | 0 | 98 | — | .235/.317/.442 |
| 2027PROJ6% MLB | 22 | MLBDET | 13 | .214/.296/.384 | 0 | 0 | 95 | 0.0 | |
| 2028PROJ46% MLB | 23 | MLBDET | 127 | .219/.302/.399 | 5 | 1 | 101 | 0.4 | |
| 2029PROJ59% MLB | 24 | MLBDET | 207 | .223/.305/.407 | 8 | 1 | 104 | 0.8 |
Contract
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) | |||||||||||||||||||||||||||||||
| 2022 | 17 | ROK | DSL Tigers 2 | — | 161 | 145 | 34 | 8 | 0 | 4 | 13 | 37 | 1 | 1 | 2 | 234 | 302 | 372 | 674 | 138 | 283 | 23 | 8 | 300 | 7 | — | — | — | — | — | — |
| 2023 | 18 | A | Lakeland Flying Tigers | — | 48 | 41 | 12 | 6 | 0 | 0 | 7 | 8 | 0 | 0 | 0 | 293 | 396 | 439 | 835 | 146 | 364 | 17 | 15 | 375 | 88 | — | — | — | — | — | — |
| 2023 | 18 | ROK | FCL Tigers | — | 198 | 169 | 55 | 13 | 2 | 7 | 23 | 28 | 2 | 3 | 1 | 325 | 412 | 550 | 963 | 225 | 348 | 14 | 12 | 413 | 91 | — | — | — | — | — | — |
| 2024 | 19 | A | Lakeland Flying Tigers | — | 176 | 151 | 42 | 5 | 2 | 2 | 22 | 26 | 3 | 1 | 2 | 278 | 381 | 377 | 758 | 99 | 325 | 15 | 12 | 348 | 75 | — | — | — | — | — | — |
| 2024 | 19 | INTL | Scottsdale Scorpions | — | 106 | 90 | 39 | 5 | 2 | 10 | 15 | 21 | 0 | 0 | 0 | 433 | 514 | 867 | 1.381 | 433 | 483 | 20 | 14 | 574 | 274 | — | — | — | — | — | — |
| 2025 | 20 | AA | Erie SeaWolves | — | 198 | 168 | 39 | 6 | 2 | 5 | 25 | 47 | 2 | 0 | 1 | 232 | 337 | 381 | 718 | 149 | 288 | 24 | 13 | 322 | 73 | — | — | — | — | — | — |
| 2025 | 20 | A+ | West Michigan Whitecaps | — | 244 | 196 | 58 | 13 | 1 | 15 | 41 | 40 | 4 | 1 | 0 | 296 | 427 | 602 | 1.029 | 306 | 299 | 16 | 17 | 440 | 139 | — | — | — | — | — | — |
| 2026 | 21 | AAA | Toledo Mud Hens | — | 59 | 51 | 10 | 4 | 0 | 0 | 8 | 19 | 0 | 0 | 0 | 196 | 305 | 275 | 580 | 78 | 312 | 32 | 14 | 274 | 36 | — | — | — | — | — | — |
| 2026 | 21 | AA | Erie SeaWolves | — | 76 | 64 | 19 | 0 | 0 | 8 | 9 | 16 | 1 | 0 | 1 | 297 | 392 | 672 | 1.064 | 375 | 262 | 21 | 12 | 442 | 142 | — | — | — | — | — | — |
| 2026 | 21 | A | Lakeland Flying Tigers | — | 25 | 20 | 6 | 2 | 0 | 1 | 5 | 5 | 0 | 0 | 0 | 300 | 440 | 550 | 990 | 250 | 357 | 20 | 20 | 434 | 113 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2022 | 17 | ROK MLE | DSL Tigers 2 | — | 161 | 150 | 20 | 4 | 0 | 2 | 8 | 46 | 1 | 1 | 2 | 133 | 182 | 200 | 382 | 67 | 175 | 29 | 5 | 179 | 7 | — | — | — | — | — | — |
| 2023 | 18 | A MLE | Lakeland Flying Tigers | — | 48 | 43 | 11 | 5 | 0 | 0 | 5 | 11 | 0 | 0 | 0 | 256 | 333 | 372 | 705 | 116 | 332 | 23 | 10 | 299 | 88 | — | — | — | — | — | — |
| 2023 | 18 | ROK MLE | FCL Tigers | — | 198 | 177 | 42 | 9 | 1 | 6 | 15 | 41 | 2 | 3 | 1 | 237 | 304 | 401 | 705 | 164 | 261 | 21 | 8 | 303 | 91 | — | — | — | — | — | — |
| 2024 | 19 | A MLE | Lakeland Flying Tigers | — | 176 | 159 | 39 | 3 | 2 | 2 | 14 | 34 | 3 | 1 | 2 | 245 | 318 | 327 | 645 | 82 | 295 | 19 | 8 | 279 | 75 | — | — | — | — | — | — |
| 2025 | 20 | AA MLE | Erie SeaWolves | — | 198 | 176 | 38 | 5 | 2 | 4 | 18 | 55 | 2 | 0 | 1 | 216 | 296 | 335 | 631 | 119 | 276 | 28 | 9 | 276 | 73 | — | — | — | — | — | — |
| 2025 | 20 | A+ MLE | West Michigan Whitecaps | — | 244 | 212 | 53 | 11 | 1 | 15 | 25 | 53 | 4 | 1 | 0 | 250 | 340 | 524 | 864 | 274 | 257 | 22 | 10 | 373 | 139 | — | — | — | — | — | — |
| 2026 | 21 | AAA MLE | Toledo Mud Hens | — | 59 | 53 | 9 | 3 | 0 | 0 | 6 | 23 | 0 | 0 | 0 | 170 | 254 | 226 | 481 | 57 | 292 | 39 | 10 | 221 | 36 | — | — | — | — | — | — |
| 2026 | 21 | AA MLE | Erie SeaWolves | — | 76 | 66 | 18 | 0 | 0 | 7 | 7 | 20 | 1 | 0 | 1 | 273 | 351 | 591 | 942 | 318 | 243 | 26 | 9 | 378 | 142 | — | — | — | — | — | — |
| 2026 | 21 | A MLE | Lakeland Flying Tigers | — | 25 | 22 | 6 | 2 | 0 | 1 | 3 | 7 | 0 | 0 | 0 | 273 | 360 | 500 | 860 | 227 | 311 | 28 | 12 | 335 | 113 | — | — | — | — | — | — |
| 2022 | 17 | ROK MLE | DSL Tigers 2 | — | 161 | 150 | 20 | 4 | 0 | 2 | 8 | 46 | 1 | 1 | 2 | 133 | 182 | 200 | 382 | 67 | 173 | 29 | 5 | 179 | 7 | — | — | — | — | — | — |
| 2022 | 17 | ROK RAW | DSL Tigers 2 | — | 161 | 145 | 34 | 8 | 0 | 4 | 13 | 37 | 1 | 1 | 2 | 234 | 302 | 372 | 674 | 138 | 283 | 23 | 8 | 300 | 7 | — | — | — | — | — | — |
| 2023 | 18 | ROK MLE | 2 teams | — | 246 | 221 | 53 | 14 | 1 | 6 | 19 | 53 | 2 | 3 | 1 | 240 | 306 | 394 | 699 | 154 | 283 | 22 | 8 | 302 | 91 | — | — | — | — | — | — |
| 2023 | 18 | ROK RAW | 2 teams | — | 246 | 210 | 67 | 19 | 2 | 7 | 30 | 36 | 2 | 3 | 1 | 319 | 409 | 529 | 938 | 210 | 351 | 15 | 12 | 406 | 91 | — | — | — | — | — | — |
| 2024 | 19 | A MLE | 2 teams | — | 282 | 255 | 61 | 5 | 3 | 2 | 23 | 55 | 3 | 1 | 2 | 239 | 310 | 306 | 615 | 67 | 296 | 20 | 8 | 279 | 75 | — | — | — | — | — | — |
| 2024 | 19 | A RAW | 2 teams | — | 282 | 241 | 81 | 10 | 4 | 12 | 37 | 47 | 3 | 1 | 2 | 336 | 431 | 560 | 991 | 224 | 377 | 17 | 13 | 433 | 75 | — | — | — | — | — | — |
| 2025 | 20 | A+ MLE | 2 teams | — | 442 | 388 | 91 | 16 | 3 | 19 | 43 | 108 | 6 | 1 | 1 | 235 | 320 | 438 | 759 | 204 | 271 | 24 | 10 | 330 | 109 | — | — | — | — | — | — |
| 2025 | 20 | A+ RAW | 2 teams | — | 442 | 364 | 97 | 19 | 3 | 20 | 66 | 87 | 6 | 1 | 1 | 266 | 387 | 500 | 887 | 234 | 294 | 20 | 15 | 387 | 109 | — | — | — | — | — | — |
| 2026 | 21 | AA MLE | 3 teams | — | 160 | 141 | 31 | 5 | 0 | 7 | 16 | 49 | 1 | 0 | 1 | 220 | 304 | 404 | 708 | 184 | 276 | 31 | 10 | 313 | 98 | — | — | — | — | — | — |
| 2026 | 21 | AA RAW | 3 teams | — | 160 | 135 | 35 | 6 | 0 | 9 | 22 | 40 | 1 | 0 | 1 | 259 | 367 | 504 | 871 | 244 | 295 | 25 | 14 | 379 | 98 | — | — | — | — | — | — |
| 2022 | 17 | ROK MLE | DSL Tigers 2 | — | 161 | 151 | 20 | 4 | 0 | 2 | 8 | 46 | 1 | 1 | 2 | 132 | 182 | 199 | 381 | 66 | 175 | 29 | 5 | 179 | 7 | — | — | — | — | — | — |
| 2023 | 18 | ROK MLE | 2 teams | — | 246 | 223 | 53 | 14 | 1 | 6 | 19 | 53 | 2 | 3 | 1 | 238 | 306 | 390 | 696 | 152 | 275 | 22 | 8 | 302 | 91 | — | — | — | — | — | — |
| 2024 | 19 | A MLE | 2 teams | — | 282 | 254 | 61 | 5 | 3 | 2 | 23 | 55 | 3 | 1 | 2 | 240 | 310 | 307 | 617 | 67 | 295 | 20 | 8 | 279 | 75 | — | — | — | — | — | — |
| 2025 | 20 | A+ MLE | 2 teams | — | 442 | 390 | 91 | 16 | 3 | 19 | 43 | 108 | 6 | 1 | 1 | 233 | 320 | 436 | 756 | 203 | 266 | 24 | 10 | 330 | 109 | — | — | — | — | — | — |
| 2026 | 21 | AA MLE | 3 teams | — | 160 | 142 | 31 | 5 | 0 | 7 | 16 | 49 | 1 | 0 | 1 | 218 | 304 | 401 | 705 | 183 | 272 | 31 | 10 | 313 | 98 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 19 | A MLE | 2 teams | — | 282 | 254 | 61 | 5 | 3 | 2 | 23 | 55 | 3 | 1 | 2 | 240 | 310 | 307 | 617 | 67 | 295 | 20 | 8 | 279 | 75 | — | — | — | — | — | — |
| 2025 | 20 | A+ MLE | 2 teams | — | 442 | 390 | 91 | 16 | 3 | 19 | 43 | 108 | 6 | 1 | 1 | 233 | 320 | 436 | 756 | 203 | 266 | 24 | 10 | 330 | 109 | — | — | — | — | — | — |
| 2026 | 21 | AA MLE | 3 teams | — | 160 | 142 | 31 | 5 | 0 | 7 | 16 | 49 | 1 | 0 | 1 | 218 | 304 | 401 | 705 | 183 | 272 | 31 | 10 | 313 | 98 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 22 | MLB MLE | DET | 6% | 375 | 333 | 74 | 12 | 2 | 15 | 36 | 93 | 3 | 2 | 1 | 218 | 300 | 395 | 695 | 177 | 254 | 25 | 10 | 309 | 95 | -2 | +0 | -2 | +7 | +8 | 0.7 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 22 | MLB CTX | DET | 6% | 13 | 12 | 2 | 0 | 0 | 0 | 1 | 3 | 0 | 0 | 0 | 214 | 296 | 384 | 680 | 170 | 249 | 23 | 8 | 303 | 95 | -0 | +0 | -0 | +0 | +0 | 0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 23 | MLB MLE | DET | 46% | 279 | 247 | 56 | 9 | 1 | 12 | 27 | 67 | 3 | 2 | 1 | 224 | 306 | 410 | 716 | 186 | 257 | 24 | 10 | 317 | 101 | +0 | +0 | -1 | +5 | +6 | 1.0 |
| 2029 | 24 | MLB MLE | DET | 59% | 350 | 310 | 71 | 12 | 1 | 15 | 34 | 83 | 3 | 2 | 1 | 228 | 310 | 419 | 729 | 192 | 259 | 24 | 10 | 322 | 104 | +2 | +0 | -2 | +6 | +8 | 1.4 |
| 2030 | 25 | MLB MLE | DET | 65% | 381 | 338 | 78 | 13 | 2 | 16 | 37 | 90 | 3 | 2 | 1 | 230 | 312 | 424 | 735 | 194 | 261 | 24 | 10 | 325 | 106 | +3 | +0 | -2 | +7 | +8 | 1.6 |
| 2031 | 26 | MLB MLE | DET | 68% | 398 | 353 | 82 | 14 | 2 | 17 | 38 | 94 | 4 | 2 | 2 | 231 | 313 | 425 | 737 | 194 | 263 | 24 | 10 | 326 | 107 | +3 | -0 | -2 | +7 | +9 | 1.7 |
| 2032 | 27 | MLB MLE | DET | 68% | 401 | 356 | 83 | 14 | 2 | 17 | 38 | 95 | 4 | 2 | 2 | 231 | 312 | 421 | 733 | 191 | 264 | 24 | 9 | 324 | 106 | +3 | -0 | -2 | +7 | +9 | 1.7 |
| 2033 | 28 | MLB MLE | DET | 68% | 396 | 352 | 81 | 14 | 2 | 16 | 38 | 95 | 3 | 1 | 1 | 229 | 310 | 416 | 726 | 188 | 263 | 24 | 10 | 321 | 104 | +2 | -0 | -3 | +7 | +9 | 1.5 |
| 2034 | 29 | MLB MLE | DET | 66% | 385 | 342 | 77 | 13 | 1 | 16 | 37 | 93 | 3 | 1 | 1 | 226 | 307 | 410 | 717 | 184 | 261 | 24 | 10 | 318 | 101 | +1 | -0 | -3 | +7 | +8 | 1.3 |
| 2035 | 30 | MLB MLE | DET | 66% | 372 | 331 | 73 | 12 | 1 | 15 | 35 | 91 | 3 | 1 | 1 | 223 | 303 | 402 | 705 | 179 | 259 | 24 | 9 | 313 | 98 | -1 | -0 | -4 | +7 | +8 | 1.0 |
| 2036 | 31 | MLB MLE | DET | 65% | 340 | 302 | 66 | 11 | 1 | 13 | 32 | 85 | 3 | 1 | 1 | 219 | 298 | 392 | 690 | 173 | 256 | 25 | 9 | 307 | 94 | -2 | -0 | -4 | +6 | +7 | 0.7 |
| 2037 | 32 | MLB MLE | DET | 65% | 300 | 267 | 57 | 9 | 1 | 11 | 28 | 76 | 2 | 0 | 0 | 213 | 292 | 379 | 671 | 165 | 251 | 25 | 9 | 299 | 89 | -4 | +0 | -5 | +5 | +6 | 0.3 |
| 2038 | 33 | MLB MLE | DET | 70% | 252 | 225 | 47 | 7 | 1 | 9 | 23 | 65 | 2 | 0 | 0 | 207 | 284 | 363 | 648 | 156 | 246 | 26 | 9 | 290 | 82 | -5 | +0 | -5 | +4 | +5 | -0.1 |
| 2039 | 34 | MLB MLE | DET | 66% | 202 | 181 | 35 | 5 | 0 | 7 | 18 | 54 | 1 | 0 | 0 | 199 | 275 | 344 | 619 | 146 | 240 | 27 | 9 | 278 | 74 | -6 | +0 | -6 | +4 | +4 | -0.4 |
| 2028 | 23 | MLB CTX | DET | 46% | 127 | 113 | 25 | 4 | 1 | 5 | 12 | 31 | 1 | 1 | 1 | 219 | 302 | 399 | 700 | 179 | 252 | 24 | 9 | 311 | 101 | +0 | -0 | -1 | +2 | +3 | 0.4 |
| 2029 | 24 | MLB CTX | DET | 59% | 207 | 183 | 41 | 7 | 1 | 8 | 20 | 49 | 2 | 1 | 1 | 223 | 305 | 407 | 713 | 184 | 255 | 24 | 10 | 316 | 104 | +1 | -0 | -1 | +4 | +4 | 0.8 |
| 2030 | 25 | MLB CTX | DET | 65% | 249 | 221 | 49 | 8 | 1 | 10 | 24 | 59 | 2 | 2 | 1 | 225 | 307 | 412 | 719 | 187 | 257 | 24 | 10 | 319 | 106 | +2 | +0 | -1 | +4 | +5 | 1.1 |
| 2031 | 26 | MLB CTX | DET | 68% | 272 | 242 | 54 | 9 | 1 | 11 | 26 | 64 | 2 | 2 | 1 | 226 | 308 | 413 | 721 | 187 | 258 | 24 | 10 | 319 | 107 | +2 | +0 | -1 | +5 | +6 | 1.2 |
| 2032 | 27 | MLB CTX | DET | 68% | 273 | 243 | 54 | 9 | 1 | 11 | 26 | 65 | 2 | 1 | 1 | 226 | 308 | 410 | 717 | 184 | 259 | 24 | 10 | 318 | 106 | +2 | -0 | -1 | +5 | +6 | 1.1 |
| 2033 | 28 | MLB CTX | DET | 68% | 269 | 239 | 54 | 9 | 1 | 11 | 26 | 64 | 2 | 1 | 1 | 224 | 306 | 405 | 710 | 181 | 258 | 24 | 10 | 315 | 104 | +1 | -0 | -2 | +5 | +6 | 1.0 |
| 2034 | 29 | MLB CTX | DET | 66% | 256 | 228 | 50 | 8 | 1 | 10 | 24 | 62 | 2 | 1 | 1 | 222 | 303 | 399 | 701 | 177 | 256 | 24 | 9 | 312 | 101 | +0 | -0 | -2 | +5 | +6 | 0.8 |
| 2035 | 30 | MLB CTX | DET | 66% | 244 | 217 | 47 | 8 | 1 | 9 | 23 | 60 | 2 | 0 | 1 | 219 | 299 | 391 | 690 | 172 | 254 | 25 | 9 | 307 | 98 | -1 | -0 | -2 | +4 | +5 | 0.6 |
| 2036 | 31 | MLB CTX | DET | 65% | 221 | 196 | 42 | 7 | 1 | 8 | 21 | 55 | 2 | 0 | 0 | 214 | 294 | 381 | 675 | 166 | 251 | 25 | 10 | 301 | 94 | -2 | +0 | -3 | +4 | +5 | 0.4 |
| 2037 | 32 | MLB CTX | DET | 65% | 194 | 173 | 37 | 6 | 1 | 7 | 18 | 49 | 1 | 0 | 0 | 209 | 288 | 368 | 657 | 159 | 247 | 25 | 9 | 294 | 89 | -3 | +0 | -3 | +3 | +4 | 0.2 |
| 2038 | 33 | MLB CTX | DET | 70% | 177 | 158 | 32 | 5 | 0 | 6 | 16 | 46 | 1 | 0 | 0 | 203 | 281 | 353 | 634 | 150 | 242 | 26 | 9 | 284 | 82 | -4 | +0 | -4 | +3 | +4 | -0.1 |
| 2039 | 34 | MLB CTX | DET | 66% | 133 | 119 | 22 | 3 | 0 | 4 | 12 | 35 | 1 | 0 | 0 | 195 | 272 | 335 | 607 | 140 | 236 | 26 | 9 | 273 | 74 | -4 | +0 | -4 | +2 | +3 | -0.3 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 2622 | 2332 | 507 | 83 | 10 | 100 | 248 | 639 | 20 | 9 | 8 | 217 | 298 | 390 | 688 | 173 | 254 | 24 | 9 | 308 | 95 | -4 | -1 | -25 | +47 | +57 | 7.4 | |
| / 162G | — | A+C | — | 650 | 578 | 126 | 21 | 2 | 25 | 61 | 158 | 5 | 2 | 2 | 218 | 298 | 391 | 689 | 173 | 254 | 24 | 9 | 308 | 95 | -1 | -0 | -6 | +12 | +14 | 1.8 | |
| Career | — | MLE | — | 5557 | 4945 | 1103 | 184 | 23 | 208 | 514 | 1351 | 49 | 21 | 19 | 223 | 302 | 396 | 698 | 173 | 262 | 24 | 9 | 309 | 95 | -7 | -2 | -40 | +76 | +92 | 12.2 | |
| / 162G | — | MLE | — | 650 | 578 | 129 | 22 | 3 | 24 | 60 | 158 | 6 | 2 | 2 | 223 | 303 | 396 | 699 | 173 | 263 | 24 | 9 | 309 | 95 | -1 | -0 | -6 | +12 | +14 | 1.9 | |
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.
2026 AAErie SeaWolves · 76 PAwOBA .441 → .378 (−63)K% 21.1% → 25.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.05% | ÷1.000 | ×1.220 | — | — | 25.68% |
| BB% (unintentional) /PA | 11.84% | ÷1.000 | ×0.700 | — | ×1.042 | 8.64% |
| HBP% /PA | 1.32% | — | ×0.850 | — | ×1.042 | 1.17% |
| Singles /BIP | 22.92% | ÷1.000 | ×0.970 | ×0.950 | ×1.042 | 22.00% |
| Doubles /BIP | 0.00% | ÷1.000 | ×0.860 | ×0.950 | ×1.042 | 0.00% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.950 | ×0.950 | ×1.042 | 0.00% |
| Home runs /BIP | 16.67% | ÷1.000 | ×0.780 | — | ×1.042 | 13.55% |
Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.950.
Result: wOBA .441 → .378; ISO .375 → .311; BABIP .262 → .243. 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).
2026 AAAToledo Mud Hens · 59 PAwOBA .267 → .221 (−47)K% 32.2% → 38.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 32.20% | ÷1.000 | ×1.200 | — | — | 38.64% |
| BB% (unintentional) /PA | 13.56% | ÷1.000 | ×0.690 | — | ×1.050 | 9.82% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.050 | 0.00% |
| Singles /BIP | 18.75% | ÷1.000 | ×0.930 | — | ×1.050 | 18.31% |
| Doubles /BIP | 12.50% | ÷1.000 | ×0.830 | — | ×1.050 | 10.89% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.970 | — | ×1.050 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.700 | — | ×1.050 | 0.00% |
Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — 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).
Result: wOBA .267 → .221; ISO .078 → .065; BABIP .312 → .292. 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).
2026 ALakeland Flying Tigers · 25 PAwOBA .423 → .335 (−88)K% 20.0% → 27.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.00% | ÷1.000 | ×1.360 | — | — | 27.20% |
| BB% (unintentional) /PA | 20.00% | ÷1.000 | ×0.690 | — | — | 13.80% |
| HBP% /PA | 0.00% | — | ×0.780 | — | — | 0.00% |
| Singles /BIP | 20.00% | ÷1.000 | ×0.920 | — | — | 18.40% |
| Doubles /BIP | 13.33% | ÷1.000 | ×0.830 | — | — | 11.07% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.910 | — | — | 0.00% |
| Home runs /BIP | 6.67% | ÷1.000 | ×0.800 | — | — | 5.33% |
Factors used: level-wide A 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 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average).
Result: wOBA .423 → .335; ISO .250 → .200; BABIP .357 → .311. 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).
2025 A+West Michigan Whitecaps · 244 PAwOBA .430 → .373 (−57)K% 16.4% → 21.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.39% | ÷0.960 | ×1.270 | — | — | 21.69% |
| BB% (unintentional) /PA | 15.57% | ÷1.106 | ×0.710 | — | ×1.027 | 10.27% |
| HBP% /PA | 1.64% | — | ×0.790 | — | ×1.027 | 1.33% |
| Singles /BIP | 18.59% | ÷1.027 | ×0.920 | ×0.950 | ×1.027 | 16.25% |
| Doubles /BIP | 8.33% | ÷0.948 | ×0.810 | ×0.950 | ×1.027 | 6.95% |
| Triples /BIP | 0.64% | ÷0.900 | ×0.850 | ×0.950 | ×1.027 | 0.59% |
| Home runs /BIP | 9.62% | ÷0.850 | ×0.800 | — | ×1.027 | 9.30% |
Factors used: league row Midwest League. Park (home-season share, regressed): HR 70, 1B 105, 2B 90, 3B 80, K 92, BB 121 — 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 ×0.950.
Result: wOBA .430 → .373; ISO .306 → .299; BABIP .299 → .257. 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).
2025 AAErie SeaWolves · 198 PAwOBA .315 → .276 (−39)K% 23.7% → 28.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.74% | ÷1.035 | ×1.220 | — | — | 27.97% |
| BB% (unintentional) /PA | 12.12% | ÷0.996 | ×0.700 | — | ×1.050 | 8.94% |
| HBP% /PA | 1.01% | — | ×0.850 | — | ×1.050 | 0.90% |
| Singles /BIP | 21.49% | ÷0.981 | ×0.970 | ×0.970 | ×1.050 | 21.64% |
| Doubles /BIP | 4.96% | ÷1.075 | ×0.860 | ×0.970 | ×1.050 | 4.04% |
| Triples /BIP | 1.65% | ÷1.115 | ×0.950 | ×0.970 | ×1.050 | 1.44% |
| Home runs /BIP | 4.13% | ÷1.056 | ×0.780 | — | ×1.050 | 3.20% |
Factors used: league row EL. Park (home-season share, regressed): HR 111, 1B 96, 2B 115, 3B 123, K 107, BB 99 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.970.
Result: wOBA .315 → .276; ISO .149 → .121; BABIP .288 → .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).
2024 ALakeland Flying Tigers · 176 PAwOBA .338 → .279 (−59)K% 14.8% → 19.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.77% | ÷1.028 | ×1.360 | — | — | 19.55% |
| BB% (unintentional) /PA | 11.93% | ÷1.061 | ×0.690 | — | ×1.030 | 7.99% |
| HBP% /PA | 1.70% | — | ×0.780 | — | ×1.030 | 1.37% |
| Singles /BIP | 26.40% | ÷0.980 | ×0.920 | ×0.990 | ×1.030 | 25.28% |
| Doubles /BIP | 4.00% | ÷1.351 | ×0.830 | ×0.990 | ×1.030 | 2.51% |
| Triples /BIP | 1.60% | ÷1.106 | ×0.910 | ×0.990 | ×1.030 | 1.34% |
| Home runs /BIP | 1.60% | ÷1.099 | ×0.800 | — | ×1.030 | 1.20% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 120, 1B 96, 2B 170, 3B 121, K 106, BB 112 — 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 ×0.990.
Result: wOBA .338 → .279; ISO .099 → .073; BABIP .325 → .295. 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).
2023 ROKFCL Tigers · 198 PAwOBA .411 → .303 (−108)K% 14.1% → 20.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.14% | ÷0.972 | ×1.440 | — | — | 20.95% |
| BB% (unintentional) /PA | 11.62% | ÷0.987 | ×0.620 | — | ×1.008 | 7.35% |
| HBP% /PA | 1.01% | — | ×0.720 | — | ×1.008 | 0.73% |
| Singles /BIP | 23.40% | ÷0.987 | ×0.820 | ×0.950 | ×1.008 | 18.60% |
| Doubles /BIP | 9.22% | ÷1.014 | ×0.720 | ×0.950 | ×1.008 | 6.27% |
| Triples /BIP | 1.42% | ÷1.150 | ×0.720 | ×0.950 | ×1.008 | 0.85% |
| Home runs /BIP | 4.96% | ÷0.924 | ×0.780 | — | ×1.008 | 4.22% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 97, 2B 103, 3B 130, K 94, BB 97 — 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 ×0.950.
Result: wOBA .411 → .303; ISO .225 → .172; BABIP .348 → .261. 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).
2023 ALakeland Flying Tigers · 48 PAwOBA .366 → .299 (−67)K% 16.7% → 23.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.67% | ÷0.975 | ×1.360 | — | — | 23.24% |
| BB% (unintentional) /PA | 14.58% | ÷1.089 | ×0.690 | — | ×1.045 | 9.66% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×1.045 | 0.00% |
| Singles /BIP | 18.18% | ÷0.957 | ×0.920 | — | ×1.045 | 18.27% |
| Doubles /BIP | 18.18% | ÷1.056 | ×0.830 | — | ×1.045 | 14.93% |
| Triples /BIP | 0.00% | ÷1.020 | ×0.910 | — | ×1.045 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.216 | ×0.800 | — | ×1.045 | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 143, 1B 91, 2B 111, 3B 104, K 95, BB 118 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average).
Result: wOBA .366 → .299; ISO .146 → .117; BABIP .364 → .332. 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 — .