Roque Salinas
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2022 | 19 | A/INTL2 orgs | 317 | .275/.316/.376 | 4 | 0 | 73 | — | .257/.292/.345 |
| 2023 | 20 | ATOR | 417 | .259/.316/.322 | 1 | 5 | 53 | — | .231/.278/.280 |
| 2024 | 21 | A/ROKTOR | 37 | .382/.432/.676 | 3 | 2 | 155 | — | .343/.378/.631 |
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) | |||||||||||||||||||||||||||||||
| 2021 | 18 | INTL | Caneros de los Mochis | — | 72 | 69 | 13 | 2 | 0 | 0 | 1 | 11 | 1 | 1 | 0 | 188 | 211 | 217 | 429 | 29 | 224 | 15 | 1 | 194 | 17 | — | — | — | — | — | — |
| 2022 | 19 | A | Dunedin Blue Jays | — | 302 | 282 | 78 | 14 | 2 | 3 | 7 | 35 | 9 | 0 | 3 | 277 | 315 | 372 | 688 | 96 | 305 | 12 | 2 | 306 | 70 | — | — | — | — | — | — |
| 2022 | 19 | INTL | Caneros de los Mochis | — | 15 | 13 | 3 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 231 | 333 | 462 | 795 | 231 | 167 | 0 | 7 | 355 | 126 | — | — | — | — | — | — |
| 2023 | 20 | A | Dunedin Blue Jays | — | 417 | 382 | 99 | 15 | 3 | 1 | 21 | 52 | 11 | 5 | 1 | 259 | 316 | 322 | 638 | 63 | 295 | 12 | 5 | 291 | 53 | — | — | — | — | — | — |
| 2024 | 21 | A | Dunedin Blue Jays | — | 21 | 19 | 7 | 1 | 0 | 0 | 2 | 2 | 0 | 2 | 0 | 368 | 429 | 421 | 850 | 53 | 412 | 10 | 10 | 386 | 114 | — | — | — | — | — | — |
| 2024 | 21 | ROK | FCL Blue Jays | — | 16 | 15 | 6 | 0 | 0 | 3 | 1 | 0 | 0 | 0 | 0 | 400 | 438 | 1.000 | 1.438 | 600 | 250 | 0 | 6 | 603 | 208 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2022 | 19 | A MLE | Dunedin Blue Jays | — | 302 | 284 | 73 | 12 | 2 | 3 | 5 | 47 | 9 | 0 | 3 | 257 | 292 | 345 | 637 | 88 | 289 | 16 | 2 | 271 | 70 | — | — | — | — | — | — |
| 2023 | 20 | A MLE | Dunedin Blue Jays | — | 417 | 389 | 90 | 12 | 2 | 1 | 14 | 70 | 11 | 5 | 1 | 231 | 278 | 280 | 558 | 49 | 274 | 17 | 3 | 247 | 53 | — | — | — | — | — | — |
| 2024 | 21 | A MLE | Dunedin Blue Jays | — | 21 | 20 | 7 | 1 | 0 | 0 | 1 | 3 | 0 | 2 | 0 | 350 | 381 | 400 | 781 | 50 | 386 | 14 | 5 | 336 | 114 | — | — | — | — | — | — |
| 2024 | 21 | ROK MLE | FCL Blue Jays | — | 16 | 15 | 5 | 0 | 0 | 3 | 1 | 0 | 0 | 0 | 0 | 333 | 375 | 933 | 1.308 | 600 | 188 | 0 | 6 | 476 | 208 | — | — | — | — | — | — |
| 2021 | 18 | INTL MLE | Caneros de los Mochis | — | 72 | 69 | 13 | 2 | 0 | 0 | 1 | 11 | 1 | 1 | 0 | 188 | 211 | 217 | 429 | 29 | 224 | 15 | 1 | — | — | — | — | — | — | — | — |
| 2021 | 18 | INTL RAW | Caneros de los Mochis | — | 72 | 69 | 13 | 2 | 0 | 0 | 1 | 11 | 1 | 1 | 0 | 188 | 211 | 217 | 429 | 29 | 224 | 15 | 1 | 194 | 17 | — | — | — | — | — | — |
| 2022 | 19 | A MLE | 2 teams | — | 317 | 298 | 77 | 13 | 2 | 3 | 5 | 49 | 10 | 0 | 3 | 258 | 294 | 346 | 640 | 87 | 298 | 15 | 2 | 271 | 70 | — | — | — | — | — | — |
| 2022 | 19 | A RAW | 2 teams | — | 317 | 295 | 81 | 14 | 2 | 4 | 8 | 35 | 10 | 0 | 3 | 275 | 316 | 376 | 693 | 102 | 298 | 11 | 3 | 308 | 70 | — | — | — | — | — | — |
| 2023 | 20 | A MLE | Dunedin Blue Jays | — | 417 | 389 | 90 | 12 | 2 | 1 | 14 | 70 | 11 | 5 | 1 | 231 | 278 | 280 | 558 | 49 | 277 | 17 | 3 | 247 | 53 | — | — | — | — | — | — |
| 2023 | 20 | A RAW | Dunedin Blue Jays | — | 417 | 382 | 99 | 15 | 3 | 1 | 21 | 52 | 11 | 5 | 1 | 259 | 316 | 322 | 638 | 63 | 295 | 12 | 5 | 291 | 53 | — | — | — | — | — | — |
| 2024 | 21 | A MLE | 2 teams | — | 37 | 35 | 12 | 1 | 0 | 3 | 2 | 3 | 0 | 2 | 0 | 343 | 378 | 629 | 1.007 | 286 | 310 | 8 | 5 | 397 | 154 | — | — | — | — | — | — |
| 2024 | 21 | A RAW | 2 teams | — | 37 | 34 | 13 | 1 | 0 | 3 | 3 | 2 | 0 | 2 | 0 | 382 | 432 | 676 | 1.109 | 294 | 345 | 5 | 8 | 480 | 154 | — | — | — | — | — | — |
| 2022 | 19 | A MLE | 2 teams | — | 317 | 299 | 77 | 13 | 2 | 3 | 5 | 49 | 10 | 0 | 3 | 258 | 294 | 344 | 638 | 87 | 289 | 15 | 2 | 271 | 70 | — | — | — | — | — | — |
| 2023 | 20 | A MLE | Dunedin Blue Jays | — | 417 | 389 | 90 | 12 | 2 | 1 | 14 | 70 | 11 | 5 | 1 | 231 | 278 | 280 | 558 | 49 | 274 | 17 | 3 | 247 | 53 | — | — | — | — | — | — |
| 2024 | 21 | A MLE | 2 teams | — | 37 | 35 | 12 | 1 | 0 | 3 | 2 | 3 | 0 | 2 | 0 | 343 | 378 | 629 | 1.007 | 286 | 300 | 8 | 5 | 397 | 154 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 21 | A MLE | 2 teams | — | 37 | 35 | 12 | 1 | 0 | 3 | 2 | 3 | 0 | 2 | 0 | 343 | 378 | 629 | 1.007 | 286 | 300 | 8 | 5 | 397 | 154 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 843 | 791 | 192 | 28 | 4 | 7 | 22 | 133 | 22 | 8 | 4 | 243 | 283 | 315 | 597 | 72 | 282 | 16 | 3 | 241 | 50 | -51 | +0 | +0 | -5 | +18 | -3.8 | |
| / 162G | — | MLE | — | 650 | 610 | 148 | 22 | 3 | 5 | 17 | 103 | 17 | 6 | 3 | 243 | 283 | 313 | 596 | 70 | 283 | 16 | 3 | 241 | 50 | -39 | +0 | +0 | -4 | +14 | -2.9 | |
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.
2024 ADunedin Blue Jays · 21 PAwOBA .376 → .336 (−40)K% 9.5% → 12.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 9.52% | ÷1.041 | ×1.360 | — | — | 12.44% |
| BB% (unintentional) /PA | 9.52% | ÷0.959 | ×0.690 | — | — | 6.85% |
| HBP% /PA | 0.00% | — | ×0.780 | — | — | 0.00% |
| Singles /BIP | 35.29% | ÷0.962 | ×0.920 | — | — | 33.74% |
| Doubles /BIP | 5.88% | ÷0.999 | ×0.830 | — | — | 4.89% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.910 | — | — | 0.00% |
| Home runs /BIP | 0.00% | ÷1.003 | ×0.800 | — | — | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 101, 1B 92, 2B 100, 3B 130, K 108, BB 92 — 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 .376 → .336; ISO .053 → .044; BABIP .412 → .386. 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 ROKFCL Blue Jays · 16 PAwOBA .584 → .476 (−108)K% 0.0% → 0.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 0.00% | ÷1.009 | ×1.440 | — | — | 0.00% |
| BB% (unintentional) /PA | 6.25% | ÷1.042 | ×0.620 | — | ×0.975 | 3.62% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.975 | 0.00% |
| Singles /BIP | 20.00% | ÷1.016 | ×0.820 | — | ×0.975 | 15.74% |
| Doubles /BIP | 0.00% | ÷1.012 | ×0.720 | — | ×0.975 | 0.00% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.720 | — | ×0.975 | 0.00% |
| Home runs /BIP | 20.00% | ÷0.925 | ×0.780 | — | ×0.975 | 16.44% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 103, 2B 102, 3B 130, K 102, BB 108 — applied at half strength. Age: age 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).
Result: wOBA .584 → .476; ISO .600 → .507; BABIP .250 → .188. 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 ADunedin Blue Jays · 417 PAwOBA .286 → .247 (−39)K% 12.5% → 16.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.47% | ÷1.018 | ×1.360 | — | — | 16.67% |
| BB% (unintentional) /PA | 5.04% | ÷1.062 | ×0.690 | — | ×1.015 | 3.32% |
| HBP% /PA | 2.64% | — | ×0.780 | — | ×1.015 | 2.09% |
| Singles /BIP | 24.24% | ÷0.988 | ×0.920 | ×1.009 | ×1.015 | 23.14% |
| Doubles /BIP | 4.55% | ÷1.034 | ×0.830 | ×1.009 | ×1.015 | 3.74% |
| Triples /BIP | 0.91% | ÷1.111 | ×0.910 | ×1.009 | ×1.015 | 0.76% |
| Home runs /BIP | 0.30% | ÷1.279 | ×0.800 | — | ×1.015 | 0.19% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 156, 1B 98, 2B 107, 3B 122, K 104, BB 112 — 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 ×1.009.
Result: wOBA .286 → .247; ISO .063 → .050; BABIP .295 → .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).
2022 ADunedin Blue Jays · 302 PAwOBA .299 → .271 (−28)K% 11.6% → 15.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.59% | ÷1.017 | ×1.360 | — | — | 15.50% |
| BB% (unintentional) /PA | 2.32% | ÷1.050 | ×0.690 | — | ×1.030 | 1.57% |
| HBP% /PA | 2.98% | — | ×0.780 | — | ×1.030 | 2.39% |
| Singles /BIP | 23.89% | ÷1.005 | ×0.920 | ×1.019 | ×1.030 | 22.95% |
| Doubles /BIP | 5.67% | ÷0.983 | ×0.830 | ×1.019 | ×1.030 | 5.03% |
| Triples /BIP | 0.81% | ÷0.900 | ×0.910 | ×1.019 | ×1.030 | 0.86% |
| Home runs /BIP | 1.21% | ÷0.916 | ×0.800 | — | ×1.030 | 1.09% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 101, 2B 97, 3B 80, K 103, BB 110 — 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 ×1.019.
Result: wOBA .299 → .271; ISO .096 → .086; BABIP .305 → .289. 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 — .