Norberto Obeso
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR |
|---|---|---|---|---|---|---|---|---|
| 2024 | 29 | INTLAguilas de Me… | 257 | .281/.356/.335 | 1 | 2 | 96 | — |
| 2025 | 30 | INTLAguilas de Me… | 236 | .289/.386/.335 | 0 | 4 | 106 | — |
| 2026 | 31 | INTLAguilas de Me… | 46 | .351/.442/.405 | 0 | 0 | 132 | — |
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 | 20 | ROK | DSL Blue Jays | — | 338 | 262 | 92 | 12 | 4 | 0 | 58 | 20 | 5 | 8 | 3 | 351 | 474 | 427 | 901 | 76 | 372 | 6 | 17 | 399 | 84 | — | — | — | — | — | — |
| 2016 | 21 | ROK | GCL Blue Jays | — | 188 | 152 | 48 | 11 | 0 | 1 | 29 | 15 | 6 | 4 | 1 | 316 | 444 | 408 | 852 | 92 | 343 | 8 | 15 | 391 | 84 | — | — | — | — | — | — |
| 2016 | 21 | INTL | Naranjeros de Hermosillo | — | 16 | 12 | 3 | 0 | 0 | 1 | 2 | 4 | 2 | 0 | 0 | 250 | 438 | 500 | 938 | 250 | 286 | 25 | 12 | 422 | 172 | — | — | — | — | — | — |
| 2017 | 22 | INTL | Naranjeros de Hermosillo | — | 24 | 21 | 3 | 0 | 0 | 0 | 3 | 6 | 0 | 0 | 0 | 143 | 250 | 143 | 393 | 200 | 25 | 12 | 200 | 22 | — | — | — | — | — | — | |
| 2018 | 23 | A | Lansing Lugnuts | — | 401 | 348 | 79 | 11 | 2 | 3 | 45 | 55 | 3 | 10 | 4 | 227 | 319 | 296 | 615 | 69 | 259 | 14 | 11 | 285 | 43 | — | — | — | — | — | — |
| 2018 | 23 | INTL | Naranjeros de Hermosillo | — | 110 | 91 | 27 | 3 | 0 | 1 | 12 | 18 | 2 | 5 | 2 | 297 | 390 | 363 | 753 | 66 | 361 | 16 | 11 | 333 | 111 | — | — | — | — | — | — |
| 2019 | 24 | A+ | Dunedin Blue Jays | — | 307 | 271 | 71 | 14 | 4 | 1 | 32 | 53 | 1 | 4 | 4 | 262 | 341 | 354 | 695 | 92 | 321 | 17 | 10 | 315 | 48 | — | — | — | — | — | — |
| 2019 | 24 | INTL | Naranjeros de Hermosillo | — | 153 | 130 | 36 | 5 | 0 | 3 | 19 | 17 | 2 | 4 | 1 | 277 | 377 | 385 | 762 | 108 | 295 | 11 | 12 | 345 | 119 | — | — | — | — | — | — |
| 2020 | 25 | INTL | Naranjeros de Hermosillo | — | 235 | 207 | 68 | 10 | 2 | 1 | 25 | 27 | 0 | 10 | 5 | 329 | 401 | 411 | 811 | 82 | 370 | 11 | 11 | 363 | 132 | — | — | — | — | — | — |
| 2021 | 26 | INTL | Naranjeros de Hermosillo | — | 264 | 219 | 65 | 10 | 0 | 0 | 37 | 19 | 1 | 4 | 3 | 297 | 401 | 342 | 743 | 46 | 322 | 7 | 14 | 338 | 115 | — | — | — | — | — | — |
| 2022 | 27 | INTL | Aguilas de Mexicali | — | 165 | 137 | 26 | 1 | 0 | 1 | 21 | 31 | 5 | 3 | 4 | 190 | 319 | 219 | 538 | 29 | 238 | 19 | 13 | 263 | 64 | — | — | — | — | — | — |
| 2023 | 28 | INTL | Aguilas de Mexicali | — | 199 | 160 | 54 | 10 | 0 | 0 | 36 | 24 | 0 | 3 | 1 | 338 | 459 | 400 | 859 | 62 | 394 | 12 | 18 | 391 | 151 | — | — | — | — | — | — |
| 2024 | 29 | INTL | Aguilas de Mexicali | — | 257 | 224 | 63 | 7 | 1 | 1 | 24 | 33 | 2 | 2 | 2 | 281 | 356 | 335 | 691 | 54 | 321 | 13 | 9 | 310 | 96 | — | — | — | — | — | — |
| 2025 | 30 | INTL | Aguilas de Mexicali | — | 236 | 197 | 57 | 5 | 2 | 0 | 28 | 28 | 3 | 4 | 2 | 289 | 386 | 335 | 721 | 46 | 337 | 12 | 12 | 325 | 106 | — | — | — | — | — | — |
| 2026 | 31 | INTL | Aguilas de Mexicali | — | 46 | 37 | 13 | 2 | 0 | 0 | 6 | 3 | 0 | 0 | 0 | 351 | 442 | 405 | 847 | 54 | 361 | 7 | 13 | 363 | 132 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2015 | 20 | ROK MLE | DSL Blue Jays | — | 338 | 284 | 71 | 8 | 3 | 0 | 38 | 24 | 5 | 8 | 3 | 250 | 349 | 299 | 648 | 49 | 257 | 7 | 11 | 292 | 84 | — | — | — | — | — | — |
| 2016 | 21 | ROK MLE | GCL Blue Jays | — | 188 | 164 | 40 | 8 | 0 | 1 | 17 | 22 | 6 | 4 | 1 | 244 | 337 | 311 | 648 | 67 | 273 | 12 | 9 | 293 | 84 | — | — | — | — | — | — |
| 2018 | 23 | A MLE | Lansing Lugnuts | — | 401 | 365 | 71 | 9 | 2 | 2 | 30 | 76 | 3 | 10 | 4 | 195 | 261 | 247 | 508 | 52 | 234 | 19 | 7 | 232 | 43 | — | — | — | — | — | — |
| 2019 | 24 | A+ MLE | Dunedin Blue Jays | — | 307 | 281 | 56 | 12 | 2 | 1 | 23 | 78 | 1 | 4 | 4 | 199 | 262 | 267 | 529 | 68 | 270 | 25 | 7 | 239 | 48 | — | — | — | — | — | — |
| 2015 | 20 | ROK MLE | DSL Blue Jays | — | 338 | 284 | 71 | 8 | 3 | 0 | 38 | 24 | 5 | 8 | 3 | 250 | 349 | 299 | 648 | 49 | 268 | 7 | 11 | 292 | 84 | — | — | — | — | — | — |
| 2015 | 20 | ROK RAW | DSL Blue Jays | — | 338 | 262 | 92 | 12 | 4 | 0 | 58 | 20 | 5 | 8 | 3 | 351 | 474 | 427 | 901 | 76 | 372 | 6 | 17 | 399 | 84 | — | — | — | — | — | — |
| 2016 | 21 | ROK MLE | 2 teams | — | 204 | 177 | 44 | 9 | 0 | 1 | 18 | 23 | 8 | 4 | 1 | 249 | 345 | 316 | 661 | 68 | 279 | 11 | 9 | 293 | 84 | — | — | — | — | — | — |
| 2016 | 21 | ROK RAW | 2 teams | — | 204 | 164 | 51 | 11 | 0 | 2 | 31 | 19 | 8 | 4 | 1 | 311 | 443 | 415 | 858 | 104 | 340 | 9 | 15 | 393 | 84 | — | — | — | — | — | — |
| 2017 | 22 | INTL MLE | Naranjeros de Hermosillo | — | 24 | 21 | 3 | 0 | 0 | 0 | 3 | 6 | 0 | 0 | 0 | 143 | 250 | 143 | 393 | 200 | 25 | 12 | — | — | — | — | — | — | — | — | |
| 2017 | 22 | INTL RAW | Naranjeros de Hermosillo | — | 24 | 21 | 3 | 0 | 0 | 0 | 3 | 6 | 0 | 0 | 0 | 143 | 250 | 143 | 393 | 200 | 25 | 12 | 200 | 22 | — | — | — | — | — | — | |
| 2018 | 23 | A MLE | 2 teams | — | 511 | 460 | 90 | 11 | 2 | 3 | 38 | 97 | 5 | 15 | 6 | 196 | 264 | 248 | 512 | 52 | 240 | 19 | 7 | 232 | 43 | — | — | — | — | — | — |
| 2018 | 23 | A RAW | 2 teams | — | 511 | 439 | 106 | 14 | 2 | 4 | 57 | 73 | 5 | 15 | 6 | 241 | 334 | 310 | 644 | 68 | 279 | 14 | 11 | 295 | 43 | — | — | — | — | — | — |
| 2019 | 24 | A+ MLE | 2 teams | — | 460 | 419 | 85 | 18 | 4 | 1 | 34 | 117 | 3 | 8 | 5 | 203 | 268 | 272 | 540 | 69 | 276 | 25 | 7 | 239 | 48 | — | — | — | — | — | — |
| 2019 | 24 | A+ RAW | 2 teams | — | 460 | 401 | 107 | 19 | 4 | 4 | 51 | 70 | 3 | 8 | 5 | 267 | 353 | 364 | 717 | 97 | 312 | 15 | 11 | 325 | 48 | — | — | — | — | — | — |
| 2020 | 25 | INTL MLE | Naranjeros de Hermosillo | — | 235 | 207 | 68 | 10 | 2 | 1 | 25 | 27 | 0 | 10 | 5 | 329 | 401 | 411 | 811 | 82 | 370 | 11 | 11 | — | — | — | — | — | — | — | — |
| 2020 | 25 | INTL RAW | Naranjeros de Hermosillo | — | 235 | 207 | 68 | 10 | 2 | 1 | 25 | 27 | 0 | 10 | 5 | 329 | 401 | 411 | 811 | 82 | 370 | 11 | 11 | 363 | 132 | — | — | — | — | — | — |
| 2021 | 26 | INTL MLE | Naranjeros de Hermosillo | — | 264 | 219 | 65 | 10 | 0 | 0 | 37 | 19 | 1 | 4 | 3 | 297 | 401 | 342 | 743 | 46 | 322 | 7 | 14 | — | — | — | — | — | — | — | — |
| 2021 | 26 | INTL RAW | Naranjeros de Hermosillo | — | 264 | 219 | 65 | 10 | 0 | 0 | 37 | 19 | 1 | 4 | 3 | 297 | 401 | 342 | 743 | 46 | 322 | 7 | 14 | 338 | 115 | — | — | — | — | — | — |
| 2022 | 27 | INTL MLE | Aguilas de Mexicali | — | 165 | 137 | 26 | 1 | 0 | 1 | 21 | 31 | 5 | 3 | 4 | 190 | 319 | 219 | 538 | 29 | 238 | 19 | 13 | — | — | — | — | — | — | — | — |
| 2022 | 27 | INTL RAW | Aguilas de Mexicali | — | 165 | 137 | 26 | 1 | 0 | 1 | 21 | 31 | 5 | 3 | 4 | 190 | 319 | 219 | 538 | 29 | 238 | 19 | 13 | 263 | 64 | — | — | — | — | — | — |
| 2023 | 28 | INTL MLE | Aguilas de Mexicali | — | 199 | 160 | 54 | 10 | 0 | 0 | 36 | 24 | 0 | 3 | 1 | 338 | 459 | 400 | 859 | 62 | 394 | 12 | 18 | — | — | — | — | — | — | — | — |
| 2023 | 28 | INTL RAW | Aguilas de Mexicali | — | 199 | 160 | 54 | 10 | 0 | 0 | 36 | 24 | 0 | 3 | 1 | 338 | 459 | 400 | 859 | 62 | 394 | 12 | 18 | 391 | 151 | — | — | — | — | — | — |
| 2024 | 29 | INTL MLE | Aguilas de Mexicali | — | 257 | 224 | 63 | 7 | 1 | 1 | 24 | 33 | 2 | 2 | 2 | 281 | 356 | 335 | 691 | 54 | 321 | 13 | 9 | — | — | — | — | — | — | — | — |
| 2024 | 29 | INTL RAW | Aguilas de Mexicali | — | 257 | 224 | 63 | 7 | 1 | 1 | 24 | 33 | 2 | 2 | 2 | 281 | 356 | 335 | 691 | 54 | 321 | 13 | 9 | 310 | 96 | — | — | — | — | — | — |
| 2025 | 30 | INTL MLE | Aguilas de Mexicali | — | 236 | 197 | 57 | 5 | 2 | 0 | 28 | 28 | 3 | 4 | 2 | 289 | 386 | 335 | 721 | 46 | 337 | 12 | 12 | — | — | — | — | — | — | — | — |
| 2025 | 30 | INTL RAW | Aguilas de Mexicali | — | 236 | 197 | 57 | 5 | 2 | 0 | 28 | 28 | 3 | 4 | 2 | 289 | 386 | 335 | 721 | 46 | 337 | 12 | 12 | 325 | 106 | — | — | — | — | — | — |
| 2026 | 31 | INTL MLE | Aguilas de Mexicali | — | 46 | 37 | 13 | 2 | 0 | 0 | 6 | 3 | 0 | 0 | 0 | 351 | 442 | 405 | 847 | 54 | 361 | 7 | 13 | — | — | — | — | — | — | — | — |
| 2026 | 31 | INTL RAW | Aguilas de Mexicali | — | 46 | 37 | 13 | 2 | 0 | 0 | 6 | 3 | 0 | 0 | 0 | 351 | 442 | 405 | 847 | 54 | 361 | 7 | 13 | 363 | 132 | — | — | — | — | — | — |
| 2015 | 20 | ROK MLE | DSL Blue Jays | — | 338 | 292 | 71 | 8 | 3 | 0 | 38 | 24 | 5 | 8 | 3 | 243 | 349 | 291 | 640 | 48 | 257 | 7 | 11 | 292 | 84 | — | — | — | — | — | — |
| 2016 | 21 | ROK MLE | 2 teams | — | 204 | 176 | 44 | 9 | 0 | 1 | 18 | 23 | 8 | 4 | 1 | 250 | 345 | 318 | 663 | 68 | 273 | 11 | 9 | 293 | 84 | — | — | — | — | — | — |
| 2018 | 23 | A MLE | 2 teams | — | 511 | 463 | 90 | 11 | 2 | 3 | 38 | 97 | 5 | 15 | 6 | 194 | 264 | 246 | 511 | 52 | 234 | 19 | 7 | 232 | 43 | — | — | — | — | — | — |
| 2019 | 24 | A+ MLE | 2 teams | — | 460 | 420 | 85 | 18 | 4 | 1 | 34 | 117 | 3 | 8 | 5 | 202 | 268 | 271 | 539 | 69 | 270 | 25 | 7 | 239 | 48 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 2939 | 2542 | 639 | 91 | 14 | 8 | 308 | 432 | 32 | 61 | 32 | 251 | 340 | 308 | 647 | 56 | 297 | 15 | 10 | 132 | -25 | -436 | -1 | +0 | -18 | +64 | -39.9 | |
| / 162G | — | MLE | — | 650 | 562 | 141 | 20 | 3 | 2 | 68 | 96 | 7 | 13 | 7 | 251 | 339 | 308 | 647 | 57 | 296 | 15 | 10 | 132 | -25 | -96 | -0 | +0 | -4 | +14 | -8.8 | |
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.
2019 A+Dunedin Blue Jays · 307 PAwOBA .307 → .239 (−68)K% 17.3% → 25.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.26% | ÷0.966 | ×1.420 | — | — | 25.37% |
| BB% (unintentional) /PA | 10.10% | ÷0.993 | ×0.750 | — | ×0.988 | 7.54% |
| HBP% /PA | 0.33% | — | ×0.930 | — | ×0.988 | 0.30% |
| Singles /BIP | 23.85% | ÷1.029 | ×0.920 | ×0.950 | ×0.988 | 20.02% |
| Doubles /BIP | 6.42% | ÷0.992 | ×0.960 | ×0.950 | ×0.988 | 5.83% |
| Triples /BIP | 1.83% | ÷1.150 | ×0.810 | ×0.950 | ×0.988 | 1.21% |
| Home runs /BIP | 0.46% | ÷1.194 | ×0.880 | — | ×0.988 | 0.33% |
Factors used: league row FSL. Park (home-season share, regressed): HR 139, 1B 106, 2B 98, 3B 130, K 93, BB 99 — 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 ×0.950.
Result: wOBA .307 → .239; ISO .092 → .070; BABIP .321 → .270. 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 ALansing Lugnuts · 401 PAwOBA .279 → .232 (−47)K% 13.7% → 18.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.72% | ÷0.989 | ×1.360 | — | — | 18.87% |
| BB% (unintentional) /PA | 10.97% | ÷0.995 | ×0.690 | — | ×0.990 | 7.53% |
| HBP% /PA | 0.75% | — | ×0.780 | — | ×0.990 | 0.58% |
| Singles /BIP | 21.50% | ÷1.018 | ×0.920 | ×1.032 | ×0.990 | 19.86% |
| Doubles /BIP | 3.75% | ÷1.033 | ×0.830 | ×1.032 | ×0.990 | 3.08% |
| Triples /BIP | 0.68% | ÷1.150 | ×0.910 | ×1.032 | ×0.990 | 0.55% |
| Home runs /BIP | 1.02% | ÷1.034 | ×0.800 | — | ×0.990 | 0.78% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 104, 2B 107, 3B 130, K 98, BB 99 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.032.
Result: wOBA .279 → .232; ISO .069 → .055; BABIP .259 → .234. 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 Blue Jays · 188 PAwOBA .380 → .293 (−87)K% 8.0% → 11.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 7.98% | ÷1.000 | ×1.440 | — | — | 11.49% |
| BB% (unintentional) /PA | 14.36% | ÷1.000 | ×0.620 | — | ×0.985 | 8.77% |
| HBP% /PA | 3.19% | — | ×0.720 | — | ×0.985 | 2.26% |
| Singles /BIP | 26.28% | ÷1.000 | ×0.820 | ×1.015 | ×0.985 | 21.54% |
| Doubles /BIP | 8.03% | ÷1.000 | ×0.720 | ×1.015 | ×0.985 | 5.78% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | ×1.015 | ×0.985 | 0.00% |
| Home runs /BIP | 0.73% | ÷1.000 | ×0.780 | — | ×0.985 | 0.56% |
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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.
Result: wOBA .380 → .293; ISO .092 → .071; BABIP .343 → .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 DSLDSL Blue Jays · 338 PAwOBA .393 → .292 (−101)K% 5.9% → 7.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 5.92% | ÷1.000 | ×1.220 | — | — | 7.22% |
| BB% (unintentional) /PA | 16.27% | ÷1.000 | ×0.700 | — | ×0.985 | 11.22% |
| HBP% /PA | 1.48% | — | ×0.700 | — | ×0.985 | 1.02% |
| Singles /BIP | 31.40% | ÷1.000 | ×0.680 | ×1.050 | ×0.985 | 22.09% |
| Doubles /BIP | 4.96% | ÷1.000 | ×0.600 | ×1.050 | ×0.985 | 3.08% |
| Triples /BIP | 1.65% | ÷1.000 | ×0.600 | ×1.050 | ×0.985 | 1.03% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.470 | — | ×0.985 | 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 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .393 → .292; ISO .076 → .053; BABIP .372 → .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).
Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .