Jonathan Reynoso
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2016 | 23 | A+CIN | 412 | .285/.320/.321 | 0 | 31 | 51 | — | .248/.276/.276 |
| 2017 | 24 | AA/A+/ROK/INTL4 orgs | 223 | .241/.303/.330 | 3 | 12 | 45 | — | .215/.242/.287 |
| 2019 | 26 | INTLAguilas del Z… | 38 | .189/.211/.270 | 0 | 0 | 31 | — |
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) | |||||||||||||||||||||||||||||||
| 2010 | 17 | ROK | DSL Reds | — | 118 | 104 | 21 | 3 | 2 | 0 | 9 | 20 | 1 | 9 | 0 | 202 | 272 | 269 | 541 | 67 | 250 | 17 | 8 | 242 | 1 | — | — | — | — | — | — |
| 2011 | 18 | ROK | DSL Reds | — | 216 | 178 | 42 | 8 | 4 | 0 | 19 | 38 | 10 | 22 | 5 | 236 | 343 | 326 | 669 | 90 | 296 | 18 | 9 | 299 | 21 | — | — | — | — | — | — |
| 2012 | 19 | ROK | AZL Reds | — | 205 | 190 | 59 | 7 | 3 | 2 | 6 | 23 | 1 | 30 | 9 | 311 | 335 | 411 | 746 | 100 | 337 | 11 | 3 | 319 | 53 | — | — | — | — | — | — |
| 2013 | 20 | ROK | Billings Mustangs | — | 172 | 160 | 38 | 5 | 0 | 2 | 5 | 29 | 0 | 9 | 5 | 237 | 261 | 306 | 567 | 69 | 277 | 17 | 3 | 245 | 12 | — | — | — | — | — | — |
| 2014 | 21 | A | Dayton Dragons | — | 199 | 175 | 40 | 4 | 1 | 0 | 14 | 41 | 4 | 8 | 1 | 229 | 301 | 263 | 563 | 34 | 294 | 21 | 7 | 257 | 42 | — | — | — | — | — | — |
| 2015 | 22 | A | Dayton Dragons | — | 344 | 315 | 86 | 5 | 6 | 3 | 17 | 54 | 3 | 16 | 3 | 273 | 316 | 356 | 672 | 83 | 322 | 16 | 5 | 295 | 53 | — | — | — | — | — | — |
| 2016 | 23 | A+ | Daytona Tortugas | — | 412 | 386 | 110 | 8 | 3 | 0 | 17 | 91 | 3 | 31 | 11 | 285 | 320 | 321 | 641 | 36 | 370 | 22 | 4 | 288 | 51 | — | — | — | — | — | — |
| 2017 | 24 | AA | Pensacola Blue Wahoos | — | 79 | 71 | 20 | 3 | 0 | 2 | 6 | 15 | 1 | 6 | 2 | 282 | 346 | 408 | 755 | 127 | 327 | 19 | 8 | 336 | 72 | — | — | — | — | — | — |
| 2017 | 24 | A+ | Daytona Tortugas | — | 81 | 78 | 13 | 3 | 0 | 0 | 2 | 15 | 0 | 1 | 1 | 167 | 188 | 205 | 393 | 38 | 206 | 19 | 2 | 177 | -17 | — | — | — | — | — | — |
| 2017 | 24 | ROK | AZL Reds | — | 32 | 28 | 11 | 1 | 0 | 1 | 4 | 3 | 0 | 5 | 3 | 393 | 469 | 536 | 1.004 | 143 | 417 | 9 | 12 | 447 | 104 | — | — | — | — | — | — |
| 2017 | 24 | INTL | Estrellas Orientales | — | 31 | 26 | 5 | 2 | 0 | 0 | 5 | 7 | 0 | 0 | 2 | 192 | 323 | 269 | 592 | 77 | 263 | 23 | 16 | 283 | 78 | — | — | — | — | — | — |
| 2019 | 26 | INTL | Aguilas del Zulia | — | 38 | 37 | 7 | 1 | 1 | 0 | 1 | 6 | 0 | 0 | 1 | 189 | 211 | 270 | 481 | 81 | 226 | 16 | 3 | 214 | 31 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2010 | 17 | ROK MLE | DSL Reds | — | 118 | 107 | 15 | 2 | 1 | 0 | 6 | 24 | 1 | 9 | 0 | 140 | 193 | 178 | 371 | 37 | 177 | 20 | 5 | 170 | 1 | — | — | — | — | — | — |
| 2011 | 18 | ROK MLE | DSL Reds | — | 216 | 184 | 28 | 5 | 2 | 0 | 13 | 46 | 10 | 22 | 5 | 152 | 246 | 201 | 447 | 49 | 186 | 21 | 6 | 199 | 21 | — | — | — | — | — | — |
| 2012 | 19 | ROK MLE | AZL Reds | — | 205 | 192 | 47 | 5 | 2 | 2 | 4 | 33 | 1 | 30 | 9 | 245 | 264 | 323 | 587 | 78 | 266 | 16 | 2 | 246 | 53 | — | — | — | — | — | — |
| 2013 | 20 | ROK MLE | Billings Mustangs | — | 172 | 162 | 30 | 4 | 0 | 1 | 3 | 42 | 0 | 9 | 5 | 185 | 200 | 228 | 428 | 43 | 229 | 24 | 2 | 186 | 12 | — | — | — | — | — | — |
| 2014 | 21 | A MLE | Dayton Dragons | — | 199 | 179 | 39 | 4 | 1 | 0 | 10 | 52 | 4 | 8 | 1 | 218 | 275 | 251 | 526 | 34 | 284 | 26 | 5 | 230 | 42 | — | — | — | — | — | — |
| 2015 | 22 | A MLE | Dayton Dragons | — | 344 | 320 | 77 | 4 | 5 | 2 | 12 | 76 | 3 | 16 | 3 | 241 | 275 | 303 | 578 | 62 | 297 | 22 | 3 | 246 | 53 | — | — | — | — | — | — |
| 2016 | 23 | A+ MLE | Daytona Tortugas | — | 412 | 391 | 97 | 7 | 2 | 0 | 12 | 129 | 3 | 31 | 11 | 248 | 276 | 276 | 552 | 28 | 360 | 31 | 3 | 243 | 51 | — | — | — | — | — | — |
| 2017 | 24 | AA MLE | Pensacola Blue Wahoos | — | 79 | 73 | 18 | 3 | 0 | 1 | 4 | 19 | 1 | 6 | 2 | 247 | 295 | 329 | 624 | 82 | 305 | 24 | 5 | 275 | 72 | — | — | — | — | — | — |
| 2017 | 24 | A+ MLE | Daytona Tortugas | — | 81 | 80 | 12 | 3 | 0 | 0 | 0 | 21 | 0 | 1 | 1 | 150 | 150 | 188 | 338 | 38 | 196 | 26 | 0 | 143 | -17 | — | — | — | — | — | — |
| 2017 | 24 | ROK MLE | AZL Reds | — | 32 | 30 | 9 | 1 | 0 | 1 | 2 | 4 | 0 | 5 | 3 | 300 | 344 | 433 | 777 | 133 | 319 | 12 | 6 | 322 | 104 | — | — | — | — | — | — |
| 2010 | 17 | ROK MLE | DSL Reds | — | 118 | 107 | 15 | 2 | 1 | 0 | 6 | 24 | 1 | 9 | 0 | 140 | 193 | 178 | 371 | 37 | 181 | 20 | 5 | 170 | 1 | — | — | — | — | — | — |
| 2010 | 17 | ROK RAW | DSL Reds | — | 118 | 104 | 21 | 3 | 2 | 0 | 9 | 20 | 1 | 9 | 0 | 202 | 272 | 269 | 541 | 67 | 250 | 17 | 8 | 242 | 1 | — | — | — | — | — | — |
| 2011 | 18 | ROK MLE | DSL Reds | — | 216 | 184 | 28 | 5 | 2 | 0 | 13 | 46 | 10 | 22 | 5 | 152 | 246 | 201 | 447 | 49 | 200 | 21 | 6 | 199 | 21 | — | — | — | — | — | — |
| 2011 | 18 | ROK RAW | DSL Reds | — | 216 | 178 | 42 | 8 | 4 | 0 | 19 | 38 | 10 | 22 | 5 | 236 | 343 | 326 | 669 | 90 | 296 | 18 | 9 | 299 | 21 | — | — | — | — | — | — |
| 2012 | 19 | ROK MLE | AZL Reds | — | 205 | 192 | 47 | 5 | 2 | 2 | 4 | 33 | 1 | 30 | 9 | 245 | 264 | 323 | 587 | 78 | 280 | 16 | 2 | 246 | 53 | — | — | — | — | — | — |
| 2012 | 19 | ROK RAW | AZL Reds | — | 205 | 190 | 59 | 7 | 3 | 2 | 6 | 23 | 1 | 30 | 9 | 311 | 335 | 411 | 746 | 100 | 337 | 11 | 3 | 319 | 53 | — | — | — | — | — | — |
| 2013 | 20 | ROK MLE | Billings Mustangs | — | 172 | 162 | 30 | 4 | 0 | 1 | 3 | 42 | 0 | 9 | 5 | 185 | 200 | 228 | 428 | 43 | 242 | 24 | 2 | 186 | 12 | — | — | — | — | — | — |
| 2013 | 20 | ROK RAW | Billings Mustangs | — | 172 | 160 | 38 | 5 | 0 | 2 | 5 | 29 | 0 | 9 | 5 | 237 | 261 | 306 | 567 | 69 | 277 | 17 | 3 | 245 | 12 | — | — | — | — | — | — |
| 2014 | 21 | A MLE | Dayton Dragons | — | 199 | 179 | 39 | 4 | 1 | 0 | 10 | 52 | 4 | 8 | 1 | 218 | 275 | 251 | 526 | 34 | 302 | 26 | 5 | 230 | 42 | — | — | — | — | — | — |
| 2014 | 21 | A RAW | Dayton Dragons | — | 199 | 175 | 40 | 4 | 1 | 0 | 14 | 41 | 4 | 8 | 1 | 229 | 301 | 263 | 563 | 34 | 294 | 21 | 7 | 257 | 42 | — | — | — | — | — | — |
| 2015 | 22 | A MLE | Dayton Dragons | — | 344 | 320 | 77 | 4 | 5 | 2 | 12 | 76 | 3 | 16 | 3 | 241 | 275 | 303 | 578 | 62 | 310 | 22 | 3 | 246 | 53 | — | — | — | — | — | — |
| 2015 | 22 | A RAW | Dayton Dragons | — | 344 | 315 | 86 | 5 | 6 | 3 | 17 | 54 | 3 | 16 | 3 | 273 | 316 | 356 | 672 | 83 | 322 | 16 | 5 | 295 | 53 | — | — | — | — | — | — |
| 2016 | 23 | A+ MLE | Daytona Tortugas | — | 412 | 391 | 97 | 7 | 2 | 0 | 12 | 129 | 3 | 31 | 11 | 248 | 276 | 276 | 552 | 28 | 367 | 31 | 3 | 243 | 51 | — | — | — | — | — | — |
| 2016 | 23 | A+ RAW | Daytona Tortugas | — | 412 | 386 | 110 | 8 | 3 | 0 | 17 | 91 | 3 | 31 | 11 | 285 | 320 | 321 | 641 | 36 | 370 | 22 | 4 | 288 | 51 | — | — | — | — | — | — |
| 2017 | 24 | A+ MLE | 4 teams | — | 223 | 213 | 44 | 7 | 0 | 2 | 7 | 52 | 1 | 12 | 8 | 207 | 235 | 268 | 503 | 61 | 263 | 23 | 3 | 227 | 40 | — | — | — | — | — | — |
| 2017 | 24 | A+ RAW | 4 teams | — | 223 | 203 | 49 | 9 | 0 | 3 | 17 | 40 | 1 | 12 | 8 | 241 | 303 | 330 | 633 | 89 | 286 | 18 | 8 | 286 | 40 | — | — | — | — | — | — |
| 2019 | 26 | INTL MLE | Aguilas del Zulia | — | 38 | 37 | 7 | 1 | 1 | 0 | 1 | 6 | 0 | 0 | 1 | 189 | 211 | 270 | 481 | 81 | 226 | 16 | 3 | — | — | — | — | — | — | — | — |
| 2019 | 26 | INTL RAW | Aguilas del Zulia | — | 38 | 37 | 7 | 1 | 1 | 0 | 1 | 6 | 0 | 0 | 1 | 189 | 211 | 270 | 481 | 81 | 226 | 16 | 3 | 214 | 31 | — | — | — | — | — | — |
| 2010 | 17 | ROK MLE | DSL Reds | — | 118 | 110 | 15 | 2 | 1 | 0 | 6 | 24 | 1 | 9 | 0 | 136 | 193 | 173 | 366 | 36 | 177 | 20 | 5 | 170 | 1 | — | — | — | — | — | — |
| 2011 | 18 | ROK MLE | DSL Reds | — | 216 | 191 | 28 | 5 | 2 | 0 | 13 | 46 | 10 | 22 | 5 | 147 | 246 | 194 | 440 | 47 | 186 | 21 | 6 | 199 | 21 | — | — | — | — | — | — |
| 2012 | 19 | ROK MLE | AZL Reds | — | 205 | 198 | 47 | 5 | 2 | 2 | 4 | 33 | 1 | 30 | 9 | 237 | 264 | 313 | 577 | 76 | 266 | 16 | 2 | 246 | 53 | — | — | — | — | — | — |
| 2013 | 20 | ROK MLE | Billings Mustangs | — | 172 | 167 | 30 | 4 | 0 | 1 | 3 | 42 | 0 | 9 | 5 | 180 | 200 | 222 | 422 | 42 | 229 | 24 | 2 | 186 | 12 | — | — | — | — | — | — |
| 2014 | 21 | A MLE | Dayton Dragons | — | 199 | 183 | 39 | 4 | 1 | 0 | 10 | 52 | 4 | 8 | 1 | 213 | 275 | 246 | 521 | 33 | 284 | 26 | 5 | 230 | 42 | — | — | — | — | — | — |
| 2015 | 22 | A MLE | Dayton Dragons | — | 344 | 326 | 77 | 4 | 5 | 2 | 12 | 76 | 3 | 16 | 3 | 236 | 275 | 298 | 572 | 61 | 297 | 22 | 3 | 246 | 53 | — | — | — | — | — | — |
| 2016 | 23 | A+ MLE | Daytona Tortugas | — | 412 | 394 | 97 | 7 | 2 | 0 | 12 | 129 | 3 | 31 | 11 | 246 | 276 | 274 | 550 | 28 | 360 | 31 | 3 | 243 | 51 | — | — | — | — | — | — |
| 2017 | 24 | A+ MLE | 4 teams | — | 223 | 213 | 44 | 7 | 0 | 2 | 7 | 52 | 1 | 12 | 8 | 207 | 235 | 268 | 503 | 61 | 261 | 23 | 3 | 227 | 40 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1927 | 1785 | 384 | 39 | 14 | 7 | 68 | 460 | 23 | 137 | 43 | 215 | 253 | 264 | 518 | 49 | 283 | 24 | 4 | 221 | 36 | -147 | +10 | +0 | +7 | +42 | -9.0 | |
| / 162G | — | MLE | — | 650 | 602 | 129 | 13 | 5 | 2 | 23 | 155 | 8 | 46 | 15 | 214 | 253 | 262 | 515 | 48 | 283 | 24 | 4 | 221 | 36 | -50 | +3 | +0 | +2 | +14 | -3.1 | |
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.
2017 A+Daytona Tortugas · 81 PAwOBA .159 → .143 (−16)K% 18.5% → 26.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.52% | ÷0.996 | ×1.420 | — | — | 26.39% |
| BB% (unintentional) /PA | 0.00% | ÷0.964 | ×0.750 | — | ×0.988 | 0.00% |
| HBP% /PA | 0.00% | — | ×0.930 | — | ×0.988 | 0.00% |
| Singles /BIP | 15.87% | ÷0.981 | ×0.920 | ×1.020 | ×0.988 | 15.01% |
| Doubles /BIP | 4.76% | ÷1.009 | ×0.960 | ×1.020 | ×0.988 | 4.57% |
| Triples /BIP | 0.00% | ÷0.951 | ×0.810 | ×1.020 | ×0.988 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.932 | ×0.880 | — | ×0.988 | 0.00% |
Factors used: league row FSL. Park (home-season share, regressed): HR 86, 1B 96, 2B 102, 3B 90, K 99, BB 93 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.020.
Result: wOBA .159 → .143; ISO .038 → .035; BABIP .206 → .196. 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 AAPensacola Blue Wahoos · 79 PAwOBA .331 → .275 (−56)K% 19.0% → 23.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.99% | ÷0.979 | ×1.220 | — | — | 23.66% |
| BB% (unintentional) /PA | 7.59% | ÷1.095 | ×0.680 | — | ×1.012 | 4.77% |
| HBP% /PA | 1.27% | — | ×0.840 | — | ×1.012 | 1.08% |
| Singles /BIP | 26.79% | ÷1.018 | ×0.920 | ×1.031 | ×1.012 | 25.27% |
| Doubles /BIP | 5.36% | ÷0.997 | ×0.910 | ×1.031 | ×1.012 | 5.10% |
| Triples /BIP | 0.00% | ÷0.943 | ×0.880 | ×1.031 | ×1.012 | 0.00% |
| Home runs /BIP | 3.57% | ÷1.399 | ×0.800 | — | ×1.012 | 2.07% |
Factors used: league row SL. Park (home-season share, regressed): HR 180, 1B 104, 2B 99, 3B 89, K 96, BB 119 — 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 ×1.031.
Result: wOBA .331 → .275; ISO .127 → .089; BABIP .327 → .305. 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 ROKAZL Reds · 32 PAwOBA .435 → .322 (−114)K% 9.4% → 13.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 9.38% | ÷1.000 | ×1.440 | — | — | 13.50% |
| BB% (unintentional) /PA | 12.50% | ÷1.000 | ×0.620 | — | ×0.955 | 7.40% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.955 | 0.00% |
| Singles /BIP | 36.00% | ÷1.000 | ×0.820 | — | ×0.955 | 28.19% |
| Doubles /BIP | 4.00% | ÷1.000 | ×0.720 | — | ×0.955 | 2.75% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.955 | 0.00% |
| Home runs /BIP | 4.00% | ÷1.000 | ×0.780 | — | ×0.955 | 2.98% |
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 24 vs a level average of 19.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average).
Result: wOBA .435 → .322; ISO .143 → .106; BABIP .417 → .319. 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+Daytona Tortugas · 412 PAwOBA .282 → .243 (−39)K% 22.1% → 31.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.09% | ÷1.004 | ×1.420 | — | — | 31.25% |
| BB% (unintentional) /PA | 4.13% | ÷1.059 | ×0.750 | — | ×0.998 | 2.92% |
| HBP% /PA | 0.73% | — | ×0.930 | — | ×0.998 | 0.68% |
| Singles /BIP | 33.56% | ÷0.983 | ×0.920 | ×1.050 | ×0.998 | 32.92% |
| Doubles /BIP | 2.71% | ÷1.061 | ×0.960 | ×1.050 | ×0.998 | 2.57% |
| Triples /BIP | 1.02% | ÷1.150 | ×0.810 | ×1.050 | ×0.998 | 0.75% |
| Home runs /BIP | 0.00% | ÷1.063 | ×0.880 | — | ×0.998 | 0.00% |
Factors used: league row FSL. Park (home-season share, regressed): HR 113, 1B 97, 2B 112, 3B 130, K 101, BB 112 — 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 ×1.050.
Result: wOBA .282 → .243; ISO .036 → .028; BABIP .370 → .360. 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 ADayton Dragons · 344 PAwOBA .288 → .246 (−41)K% 15.7% → 22.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.70% | ÷0.966 | ×1.360 | — | — | 22.09% |
| BB% (unintentional) /PA | 4.94% | ÷1.002 | ×0.690 | — | — | 3.40% |
| HBP% /PA | 0.87% | — | ×0.780 | — | — | 0.68% |
| Singles /BIP | 27.59% | ÷1.012 | ×0.920 | ×1.036 | — | 25.97% |
| Doubles /BIP | 1.92% | ÷1.037 | ×0.830 | ×1.036 | — | 1.59% |
| Triples /BIP | 2.30% | ÷1.137 | ×0.910 | ×1.036 | — | 1.91% |
| Home runs /BIP | 1.15% | ÷1.078 | ×0.800 | — | — | 0.85% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 102, 2B 107, 3B 127, K 93, BB 100 — 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 ×1.036.
Result: wOBA .288 → .246; ISO .083 → .064; BABIP .322 → .297. 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 ADayton Dragons · 199 PAwOBA .253 → .230 (−23)K% 20.6% → 25.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.60% | ÷1.082 | ×1.360 | — | — | 25.90% |
| BB% (unintentional) /PA | 7.04% | ÷0.990 | ×0.690 | — | ×1.015 | 4.98% |
| HBP% /PA | 2.01% | — | ×0.780 | — | ×1.015 | 1.59% |
| Singles /BIP | 26.12% | ÷1.007 | ×0.920 | ×1.041 | ×1.015 | 25.22% |
| Doubles /BIP | 2.99% | ÷0.940 | ×0.830 | ×1.041 | ×1.015 | 2.79% |
| Triples /BIP | 0.75% | ÷0.900 | ×0.910 | ×1.041 | ×1.015 | 0.80% |
| Home runs /BIP | 0.00% | ÷1.000 | ×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 100, 1B 101, 2B 88, 3B 80, K 116, BB 98 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.041.
Result: wOBA .253 → .230; ISO .034 → .034; BABIP .294 → .284. 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 ROKBillings Mustangs · 172 PAwOBA .240 → .186 (−53)K% 16.9% → 24.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.86% | ÷1.000 | ×1.440 | — | — | 24.28% |
| BB% (unintentional) /PA | 2.91% | ÷1.000 | ×0.610 | — | ×0.995 | 1.76% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.995 | 0.00% |
| Singles /BIP | 23.66% | ÷1.000 | ×0.820 | ×1.034 | ×0.995 | 19.97% |
| Doubles /BIP | 3.82% | ÷1.000 | ×0.720 | ×1.034 | ×0.995 | 2.83% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | ×1.034 | ×0.995 | 0.00% |
| Home runs /BIP | 1.53% | ÷1.000 | ×0.750 | — | ×0.995 | 1.14% |
Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.034.
Result: wOBA .240 → .186; ISO .069 → .050; BABIP .277 → .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).
2012 ROKAZL Reds · 205 PAwOBA .317 → .246 (−71)K% 11.2% → 16.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.22% | ÷1.000 | ×1.440 | — | — | 16.16% |
| BB% (unintentional) /PA | 2.93% | ÷1.000 | ×0.620 | — | ×1.008 | 1.83% |
| HBP% /PA | 0.49% | — | ×0.720 | — | ×1.008 | 0.35% |
| Singles /BIP | 28.14% | ÷1.000 | ×0.820 | ×0.979 | ×1.008 | 22.76% |
| Doubles /BIP | 4.19% | ÷1.000 | ×0.720 | ×0.979 | ×1.008 | 2.98% |
| Triples /BIP | 1.80% | ÷1.000 | ×0.720 | ×0.979 | ×1.008 | 1.28% |
| Home runs /BIP | 1.20% | ÷1.000 | ×0.780 | — | ×1.008 | 0.94% |
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 ×0.979.
Result: wOBA .317 → .246; ISO .100 → .074; BABIP .337 → .266. 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 — .