Saige Jenco
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2016 | 21 | A/ROK2 orgs | 248 | .308/.397/.422 | 1 | 22 | 87 | — | .272/.335/.373 |
| 2017 | 22 | ALAD | 347 | .242/.354/.379 | 4 | 12 | 61 | — | .197/.278/.297 |
| 2018 | 23 | A+LAA | 206 | .247/.373/.306 | 0 | 7 | 47 | — | .192/.279/.236 |
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) | |||||||||||||||||||||||||||||||
| 2016 | 21 | A | Great Lakes Loons | — | 196 | 170 | 49 | 8 | 2 | 1 | 21 | 34 | 1 | 17 | 0 | 288 | 370 | 376 | 746 | 88 | 356 | 17 | 11 | 333 | 78 | — | — | — | — | — | — |
| 2016 | 21 | ROK | Ogden Raptors | — | 52 | 41 | 16 | 5 | 2 | 0 | 8 | 7 | 1 | 5 | 1 | 390 | 500 | 610 | 1.110 | 220 | 457 | 13 | 15 | 464 | 120 | — | — | — | — | — | — |
| 2017 | 22 | A | Great Lakes Loons | — | 347 | 293 | 71 | 16 | 6 | 4 | 47 | 75 | 4 | 12 | 8 | 242 | 354 | 379 | 732 | 137 | 312 | 22 | 14 | 331 | 61 | — | — | — | — | — | — |
| 2018 | 23 | A+ | Rancho Cucamonga Quakes | — | 206 | 170 | 42 | 8 | 1 | 0 | 34 | 49 | 0 | 7 | 5 | 247 | 373 | 306 | 678 | 59 | 344 | 24 | 17 | 318 | 47 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2016 | 21 | A MLE | Great Lakes Loons | — | 196 | 177 | 46 | 7 | 2 | 1 | 14 | 47 | 1 | 17 | 0 | 260 | 318 | 339 | 657 | 79 | 337 | 24 | 7 | 284 | 78 | — | — | — | — | — | — |
| 2016 | 21 | ROK MLE | Ogden Raptors | — | 52 | 44 | 14 | 4 | 2 | 0 | 5 | 10 | 1 | 5 | 1 | 318 | 400 | 500 | 900 | 182 | 347 | 19 | 10 | 346 | 120 | — | — | — | — | — | — |
| 2017 | 22 | A MLE | Great Lakes Loons | — | 347 | 310 | 61 | 12 | 5 | 3 | 31 | 103 | 4 | 12 | 8 | 197 | 278 | 297 | 575 | 100 | 281 | 30 | 9 | 258 | 61 | — | — | — | — | — | — |
| 2018 | 23 | A+ MLE | Rancho Cucamonga Quakes | — | 206 | 182 | 35 | 6 | 1 | 0 | 22 | 69 | 0 | 7 | 5 | 192 | 279 | 236 | 516 | 44 | 302 | 33 | 11 | 238 | 47 | — | — | — | — | — | — |
| 2016 | 21 | A MLE | 2 teams | — | 248 | 221 | 60 | 11 | 4 | 1 | 19 | 57 | 2 | 22 | 1 | 271 | 335 | 371 | 706 | 100 | 360 | 23 | 8 | 297 | 87 | — | — | — | — | — | — |
| 2016 | 21 | A RAW | 2 teams | — | 248 | 211 | 65 | 13 | 4 | 1 | 29 | 41 | 2 | 22 | 1 | 308 | 397 | 422 | 818 | 114 | 376 | 17 | 12 | 361 | 87 | — | — | — | — | — | — |
| 2017 | 22 | A MLE | Great Lakes Loons | — | 347 | 310 | 61 | 12 | 5 | 3 | 31 | 103 | 4 | 12 | 8 | 197 | 278 | 297 | 575 | 100 | 283 | 30 | 9 | 258 | 61 | — | — | — | — | — | — |
| 2017 | 22 | A RAW | Great Lakes Loons | — | 347 | 293 | 71 | 16 | 6 | 4 | 47 | 75 | 4 | 12 | 8 | 242 | 354 | 379 | 732 | 137 | 312 | 22 | 14 | 331 | 61 | — | — | — | — | — | — |
| 2018 | 23 | A+ MLE | Rancho Cucamonga Quakes | — | 206 | 182 | 35 | 6 | 1 | 0 | 22 | 69 | 0 | 7 | 5 | 192 | 279 | 236 | 516 | 44 | 307 | 33 | 11 | 238 | 47 | — | — | — | — | — | — |
| 2018 | 23 | A+ RAW | Rancho Cucamonga Quakes | — | 206 | 170 | 42 | 8 | 1 | 0 | 34 | 49 | 0 | 7 | 5 | 247 | 373 | 306 | 678 | 59 | 344 | 24 | 17 | 318 | 47 | — | — | — | — | — | — |
| 2016 | 21 | A MLE | 2 teams | — | 248 | 225 | 60 | 11 | 4 | 1 | 19 | 57 | 2 | 22 | 1 | 267 | 335 | 364 | 699 | 98 | 339 | 23 | 8 | 297 | 87 | — | — | — | — | — | — |
| 2017 | 22 | A MLE | Great Lakes Loons | — | 347 | 309 | 61 | 12 | 5 | 3 | 31 | 103 | 4 | 12 | 8 | 197 | 278 | 298 | 576 | 100 | 281 | 30 | 9 | 258 | 61 | — | — | — | — | — | — |
| 2018 | 23 | A+ MLE | Rancho Cucamonga Quakes | — | 206 | 182 | 35 | 6 | 1 | 0 | 22 | 69 | 0 | 7 | 5 | 192 | 279 | 236 | 516 | 44 | 302 | 33 | 11 | 238 | 47 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 801 | 713 | 156 | 29 | 10 | 4 | 72 | 229 | 6 | 41 | 14 | 219 | 296 | 304 | 600 | 86 | 315 | 29 | 9 | 265 | 65 | -33 | +3 | +0 | -9 | +17 | -2.2 | |
| / 162G | — | MLE | — | 650 | 579 | 127 | 24 | 8 | 3 | 58 | 186 | 5 | 33 | 11 | 219 | 296 | 304 | 600 | 85 | 316 | 29 | 9 | 265 | 65 | -27 | +2 | +0 | -7 | +14 | -1.8 | |
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.
2018 A+Rancho Cucamonga Quakes · 206 PAwOBA .312 → .238 (−74)K% 23.8% → 33.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.79% | ÷0.957 | ×1.340 | — | — | 33.31% |
| BB% (unintentional) /PA | 16.50% | ÷1.066 | ×0.710 | — | ×0.988 | 10.86% |
| HBP% /PA | 0.00% | — | ×0.790 | — | ×0.988 | 0.00% |
| Singles /BIP | 27.27% | ÷1.025 | ×0.910 | ×1.034 | ×0.988 | 24.74% |
| Doubles /BIP | 6.61% | ÷1.076 | ×0.820 | ×1.034 | ×0.988 | 5.15% |
| Triples /BIP | 0.83% | ÷1.150 | ×0.760 | ×1.034 | ×0.988 | 0.56% |
| Home runs /BIP | 0.00% | ÷1.058 | ×0.920 | — | ×0.988 | 0.00% |
Factors used: league row CAL. Park (home-season share, regressed): HR 112, 1B 105, 2B 115, 3B 130, K 91, BB 113 — 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 ×1.034.
Result: wOBA .312 → .238; ISO .059 → .042; BABIP .344 → .302. 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 AGreat Lakes Loons · 347 PAwOBA .324 → .258 (−67)K% 21.6% → 29.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.61% | ÷0.990 | ×1.360 | — | — | 29.70% |
| BB% (unintentional) /PA | 13.54% | ÷1.048 | ×0.690 | — | ×0.990 | 8.83% |
| HBP% /PA | 1.15% | — | ×0.780 | — | ×0.990 | 0.89% |
| Singles /BIP | 20.64% | ÷0.965 | ×0.920 | ×0.997 | ×0.990 | 19.42% |
| Doubles /BIP | 7.34% | ÷1.013 | ×0.830 | ×0.997 | ×0.990 | 5.94% |
| Triples /BIP | 2.75% | ÷1.013 | ×0.910 | ×0.997 | ×0.990 | 2.44% |
| Home runs /BIP | 1.83% | ÷0.970 | ×0.800 | — | ×0.990 | 1.50% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 93, 2B 103, 3B 103, K 98, BB 110 — 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 ×0.997.
Result: wOBA .324 → .258; ISO .137 → .110; BABIP .312 → .281. 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 AGreat Lakes Loons · 196 PAwOBA .325 → .284 (−42)K% 17.3% → 23.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.35% | ÷0.990 | ×1.360 | — | — | 23.82% |
| BB% (unintentional) /PA | 10.71% | ÷1.011 | ×0.690 | — | — | 7.31% |
| HBP% /PA | 0.51% | — | ×0.780 | — | — | 0.40% |
| Singles /BIP | 27.94% | ÷0.977 | ×0.920 | ×1.019 | — | 26.81% |
| Doubles /BIP | 5.88% | ÷0.961 | ×0.830 | ×1.019 | — | 5.18% |
| Triples /BIP | 1.47% | ÷0.900 | ×0.910 | ×1.019 | — | 1.52% |
| Home runs /BIP | 0.74% | ÷0.960 | ×0.800 | — | — | 0.61% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 92, 1B 95, 2B 92, 3B 80, K 98, BB 102 — 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 ×1.019.
Result: wOBA .325 → .284; ISO .088 → .079; BABIP .356 → .337. 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 ROKOgden Raptors · 52 PAwOBA .461 → .346 (−116)K% 13.5% → 19.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.46% | ÷1.000 | ×1.440 | — | — | 19.38% |
| BB% (unintentional) /PA | 15.38% | ÷1.000 | ×0.610 | — | ×0.975 | 9.15% |
| HBP% /PA | 1.92% | — | ×0.720 | — | ×0.975 | 1.35% |
| Singles /BIP | 26.47% | ÷1.000 | ×0.820 | — | ×0.975 | 21.16% |
| Doubles /BIP | 14.71% | ÷1.000 | ×0.720 | — | ×0.975 | 10.32% |
| Triples /BIP | 5.88% | ÷1.000 | ×0.720 | — | ×0.975 | 4.13% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.750 | — | ×0.975 | 0.00% |
Factors used: league row PIO. 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 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).
Result: wOBA .461 → .346; ISO .220 → .165; BABIP .457 → .347. 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).