Zachery Almond
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2017 | 21 | ROKARI | 62 | .260/.393/.300 | 0 | 1 | 41 | — | .185/.279/.204 |
| 2018 | 22 | ROKMissoula Ospr… | 247 | .345/.388/.594 | 13 | 2 | 81 | — | .239/.273/.406 |
| 2019 | 23 | AKane County C… | 368 | .217/.316/.319 | 5 | 3 | 34 | — | .167/.232/.245 |
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) | |||||||||||||||||||||||||||||||
| 2017 | 21 | ROK | ACL D-backs | — | 62 | 50 | 13 | 2 | 0 | 0 | 11 | 14 | 0 | 1 | 1 | 260 | 393 | 300 | 693 | 40 | 351 | 23 | 18 | 326 | 41 | — | — | — | — | — | — |
| 2018 | 22 | ROK | Missoula Osprey | — | 247 | 229 | 79 | 16 | 1 | 13 | 13 | 40 | 3 | 2 | 0 | 345 | 388 | 594 | 982 | 249 | 371 | 16 | 5 | 424 | 81 | — | — | — | — | — | — |
| 2019 | 23 | A | Kane County Cougars | — | 368 | 313 | 68 | 17 | 0 | 5 | 43 | 93 | 2 | 3 | 1 | 217 | 316 | 319 | 635 | 102 | 281 | 25 | 12 | 286 | 34 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2017 | 21 | ROK MLE | ACL D-backs | — | 62 | 54 | 10 | 1 | 0 | 0 | 7 | 20 | 0 | 1 | 1 | 185 | 279 | 204 | 482 | 19 | 278 | 32 | 11 | 229 | 41 | — | — | — | — | — | — |
| 2018 | 22 | ROK MLE | Missoula Osprey | — | 247 | 234 | 56 | 10 | 1 | 9 | 8 | 58 | 3 | 2 | 0 | 239 | 273 | 406 | 679 | 167 | 273 | 23 | 3 | 288 | 81 | — | — | — | — | — | — |
| 2019 | 23 | A MLE | Kane County Cougars | — | 368 | 330 | 55 | 14 | 0 | 4 | 26 | 128 | 2 | 3 | 1 | 167 | 232 | 245 | 477 | 79 | 235 | 35 | 7 | 218 | 34 | — | — | — | — | — | — |
| 2017 | 21 | ROK MLE | ACL D-backs | — | 62 | 54 | 10 | 1 | 0 | 0 | 7 | 20 | 0 | 1 | 1 | 185 | 279 | 204 | 482 | 19 | 286 | 32 | 11 | 229 | 41 | — | — | — | — | — | — |
| 2017 | 21 | ROK RAW | ACL D-backs | — | 62 | 50 | 13 | 2 | 0 | 0 | 11 | 14 | 0 | 1 | 1 | 260 | 393 | 300 | 693 | 40 | 351 | 23 | 18 | 326 | 41 | — | — | — | — | — | — |
| 2018 | 22 | ROK MLE | Missoula Osprey | — | 247 | 234 | 56 | 10 | 1 | 9 | 8 | 58 | 3 | 2 | 0 | 239 | 273 | 406 | 679 | 167 | 278 | 23 | 3 | 288 | 81 | — | — | — | — | — | — |
| 2018 | 22 | ROK RAW | Missoula Osprey | — | 247 | 229 | 79 | 16 | 1 | 13 | 13 | 40 | 3 | 2 | 0 | 345 | 388 | 594 | 982 | 249 | 371 | 16 | 5 | 424 | 81 | — | — | — | — | — | — |
| 2019 | 23 | A MLE | Kane County Cougars | — | 368 | 330 | 55 | 14 | 0 | 4 | 26 | 128 | 2 | 3 | 1 | 167 | 232 | 245 | 477 | 79 | 246 | 35 | 7 | 218 | 34 | — | — | — | — | — | — |
| 2019 | 23 | A RAW | Kane County Cougars | — | 368 | 313 | 68 | 17 | 0 | 5 | 43 | 93 | 2 | 3 | 1 | 217 | 316 | 319 | 635 | 102 | 281 | 25 | 12 | 286 | 34 | — | — | — | — | — | — |
| 2017 | 21 | ROK MLE | ACL D-backs | — | 62 | 55 | 10 | 1 | 0 | 0 | 7 | 20 | 0 | 1 | 1 | 182 | 279 | 200 | 479 | 18 | 278 | 32 | 11 | 229 | 41 | — | — | — | — | — | — |
| 2018 | 22 | ROK MLE | Missoula Osprey | — | 247 | 234 | 56 | 10 | 1 | 9 | 8 | 58 | 3 | 2 | 0 | 239 | 273 | 406 | 679 | 167 | 273 | 23 | 3 | 288 | 81 | — | — | — | — | — | — |
| 2019 | 23 | A MLE | Kane County Cougars | — | 368 | 337 | 55 | 14 | 0 | 4 | 26 | 128 | 2 | 3 | 1 | 163 | 232 | 240 | 472 | 77 | 235 | 35 | 7 | 218 | 34 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 677 | 618 | 121 | 25 | 1 | 13 | 41 | 206 | 5 | 6 | 2 | 196 | 252 | 303 | 554 | 107 | 263 | 30 | 6 | 245 | 52 | -39 | +0 | +0 | +12 | +15 | -1.2 | |
| / 162G | — | MLE | — | 650 | 593 | 116 | 24 | 1 | 12 | 39 | 198 | 5 | 6 | 2 | 196 | 251 | 300 | 551 | 105 | 263 | 30 | 6 | 245 | 52 | -37 | +0 | +0 | +12 | +14 | -1.2 | |
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 AKane County Cougars · 368 PAwOBA .285 → .218 (−67)K% 25.3% → 34.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.27% | ÷0.990 | ×1.360 | — | — | 34.73% |
| BB% (unintentional) /PA | 11.41% | ÷1.083 | ×0.690 | — | ×0.990 | 7.20% |
| HBP% /PA | 0.54% | — | ×0.780 | — | ×0.990 | 0.42% |
| Singles /BIP | 20.91% | ÷1.038 | ×0.920 | ×0.950 | ×0.990 | 17.43% |
| Doubles /BIP | 7.73% | ÷0.920 | ×0.830 | ×0.950 | ×0.990 | 6.55% |
| Triples /BIP | 0.00% | ÷1.056 | ×0.910 | ×0.950 | ×0.990 | 0.00% |
| Home runs /BIP | 2.27% | ÷0.875 | ×0.800 | — | ×0.990 | 2.06% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 75, 1B 108, 2B 84, 3B 111, K 98, BB 117 — 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 ×0.950.
Result: wOBA .285 → .218; ISO .102 → .086; BABIP .281 → .235. 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 ROKMissoula Osprey · 247 PAwOBA .415 → .288 (−127)K% 16.2% → 23.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.19% | ÷1.000 | ×1.440 | — | — | 23.32% |
| BB% (unintentional) /PA | 5.26% | ÷1.000 | ×0.610 | — | ×0.975 | 3.13% |
| HBP% /PA | 1.21% | — | ×0.720 | — | ×0.975 | 0.85% |
| Singles /BIP | 25.93% | ÷1.000 | ×0.820 | ×0.971 | ×0.975 | 20.12% |
| Doubles /BIP | 8.47% | ÷1.000 | ×0.720 | ×0.971 | ×0.975 | 5.77% |
| Triples /BIP | 0.53% | ÷1.000 | ×0.720 | ×0.971 | ×0.975 | 0.36% |
| Home runs /BIP | 6.88% | ÷1.000 | ×0.750 | — | ×0.975 | 5.03% |
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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.971.
Result: wOBA .415 → .288; ISO .249 → .169; BABIP .371 → .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).
2017 ROKACL D-backs · 62 PAwOBA .324 → .229 (−95)K% 22.6% → 32.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.58% | ÷1.000 | ×1.440 | — | — | 32.52% |
| BB% (unintentional) /PA | 17.74% | ÷1.000 | ×0.620 | — | ×0.985 | 10.84% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.985 | 0.00% |
| Singles /BIP | 30.56% | ÷1.000 | ×0.820 | — | ×0.985 | 24.68% |
| Doubles /BIP | 5.56% | ÷1.000 | ×0.720 | — | ×0.985 | 3.94% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.985 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×0.985 | 0.00% |
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).
Result: wOBA .324 → .229; ISO .040 → .028; BABIP .351 → .278. 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).