Jose Almonte
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2017 | 20 | ATEX | 248 | .185/.250/.300 | 6 | 1 | 13 | — | .142/.198/.216 |
| 2018 | 21 | ROKAZL Rangers | 42 | .194/.405/.226 | 0 | 1 | 24 | — | .143/.286/.171 |
| 2019 | 22 | ATEX | 210 | .160/.213/.278 | 3 | 1 | -17 | — | .107/.150/.183 |
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) | |||||||||||||||||||||||||||||||
| 2014 | 17 | ROK | AZL Rangers | — | 232 | 212 | 41 | 4 | 1 | 2 | 13 | 58 | 6 | 5 | 3 | 193 | 260 | 250 | 510 | 57 | 255 | 25 | 6 | 238 | 1 | — | — | — | — | — | — |
| 2015 | 18 | ROK | DSL Rangers 1 | — | 197 | 176 | 29 | 7 | 1 | 0 | 14 | 45 | 7 | 2 | 3 | 165 | 254 | 216 | 470 | 51 | 221 | 23 | 7 | 226 | -14 | — | — | — | — | — | — |
| 2016 | 19 | A | Hickory Crawdads | — | 199 | 180 | 50 | 6 | 0 | 8 | 8 | 56 | 10 | 8 | 2 | 278 | 342 | 444 | 786 | 167 | 362 | 28 | 4 | 351 | 59 | — | — | — | — | — | — |
| 2016 | 19 | ROK | AZL Rangers | — | 16 | 15 | 4 | 2 | 1 | 0 | 1 | 3 | 0 | 0 | 0 | 267 | 312 | 533 | 846 | 267 | 333 | 19 | 6 | 362 | 46 | — | — | — | — | — | — |
| 2017 | 20 | A | Hickory Crawdads | — | 248 | 227 | 42 | 4 | 2 | 6 | 13 | 66 | 7 | 1 | 1 | 185 | 250 | 300 | 550 | 115 | 232 | 27 | 5 | 251 | 13 | — | — | — | — | — | — |
| 2018 | 21 | ROK | AZL Rangers | — | 42 | 31 | 6 | 1 | 0 | 0 | 9 | 14 | 2 | 1 | 0 | 194 | 405 | 226 | 631 | 32 | 353 | 33 | 21 | 323 | 24 | — | — | — | — | — | — |
| 2019 | 22 | A | Hickory Crawdads | — | 210 | 194 | 31 | 12 | 1 | 3 | 10 | 70 | 3 | 1 | 0 | 160 | 213 | 278 | 491 | 119 | 228 | 33 | 5 | 219 | -17 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2014 | 17 | ROK MLE | AZL Rangers | — | 232 | 217 | 31 | 3 | 1 | 1 | 8 | 84 | 6 | 5 | 3 | 143 | 195 | 180 | 375 | 37 | 219 | 36 | 3 | 170 | 1 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | DSL Rangers 1 | — | 197 | 180 | 19 | 4 | 1 | 0 | 10 | 55 | 7 | 2 | 3 | 106 | 183 | 139 | 322 | 33 | 150 | 28 | 5 | 147 | -14 | — | — | — | — | — | — |
| 2016 | 19 | A MLE | Hickory Crawdads | — | 199 | 183 | 38 | 5 | 0 | 5 | 6 | 76 | 10 | 8 | 2 | 208 | 271 | 317 | 588 | 109 | 311 | 38 | 3 | 255 | 59 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | AZL Rangers | — | 16 | 15 | 3 | 1 | 1 | 0 | 1 | 4 | 0 | 0 | 0 | 200 | 250 | 400 | 650 | 200 | 247 | 25 | 6 | 236 | 46 | — | — | — | — | — | — |
| 2017 | 20 | A MLE | Hickory Crawdads | — | 248 | 232 | 33 | 3 | 1 | 4 | 9 | 88 | 7 | 1 | 1 | 142 | 198 | 216 | 413 | 73 | 204 | 35 | 4 | 187 | 13 | — | — | — | — | — | — |
| 2018 | 21 | ROK MLE | AZL Rangers | — | 42 | 35 | 5 | 1 | 0 | 0 | 5 | 20 | 2 | 1 | 0 | 143 | 286 | 171 | 457 | 29 | 276 | 48 | 12 | 204 | 24 | — | — | — | — | — | — |
| 2019 | 22 | A MLE | Hickory Crawdads | — | 210 | 197 | 21 | 7 | 1 | 2 | 7 | 94 | 3 | 1 | 0 | 107 | 150 | 183 | 332 | 76 | 176 | 45 | 3 | 143 | -17 | — | — | — | — | — | — |
| 2014 | 17 | ROK MLE | AZL Rangers | — | 232 | 217 | 31 | 3 | 1 | 1 | 8 | 84 | 6 | 5 | 3 | 143 | 195 | 180 | 375 | 37 | 226 | 36 | 3 | 170 | 1 | — | — | — | — | — | — |
| 2014 | 17 | ROK RAW | AZL Rangers | — | 232 | 212 | 41 | 4 | 1 | 2 | 13 | 58 | 6 | 5 | 3 | 193 | 260 | 250 | 510 | 57 | 255 | 25 | 6 | 238 | 1 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | DSL Rangers 1 | — | 197 | 180 | 19 | 4 | 1 | 0 | 10 | 55 | 7 | 2 | 3 | 106 | 183 | 139 | 322 | 33 | 152 | 28 | 5 | 147 | -14 | — | — | — | — | — | — |
| 2015 | 18 | ROK RAW | DSL Rangers 1 | — | 197 | 176 | 29 | 7 | 1 | 0 | 14 | 45 | 7 | 2 | 3 | 165 | 254 | 216 | 470 | 51 | 221 | 23 | 7 | 226 | -14 | — | — | — | — | — | — |
| 2016 | 19 | A MLE | 2 teams | — | 215 | 199 | 40 | 6 | 1 | 5 | 6 | 80 | 10 | 8 | 2 | 201 | 260 | 317 | 577 | 116 | 307 | 37 | 3 | 254 | 58 | — | — | — | — | — | — |
| 2016 | 19 | A RAW | 2 teams | — | 215 | 195 | 54 | 8 | 1 | 8 | 9 | 59 | 10 | 8 | 2 | 277 | 340 | 451 | 791 | 174 | 359 | 27 | 4 | 352 | 58 | — | — | — | — | — | — |
| 2017 | 20 | A MLE | Hickory Crawdads | — | 248 | 232 | 33 | 3 | 1 | 4 | 9 | 88 | 7 | 1 | 1 | 142 | 198 | 216 | 413 | 73 | 207 | 35 | 4 | 187 | 13 | — | — | — | — | — | — |
| 2017 | 20 | A RAW | Hickory Crawdads | — | 248 | 227 | 42 | 4 | 2 | 6 | 13 | 66 | 7 | 1 | 1 | 185 | 250 | 300 | 550 | 115 | 232 | 27 | 5 | 251 | 13 | — | — | — | — | — | — |
| 2018 | 21 | ROK MLE | AZL Rangers | — | 42 | 35 | 5 | 1 | 0 | 0 | 5 | 20 | 2 | 1 | 0 | 143 | 286 | 171 | 457 | 29 | 333 | 48 | 12 | 204 | 24 | — | — | — | — | — | — |
| 2018 | 21 | ROK RAW | AZL Rangers | — | 42 | 31 | 6 | 1 | 0 | 0 | 9 | 14 | 2 | 1 | 0 | 194 | 405 | 226 | 631 | 32 | 353 | 33 | 21 | 323 | 24 | — | — | — | — | — | — |
| 2019 | 22 | A MLE | Hickory Crawdads | — | 210 | 197 | 21 | 7 | 1 | 2 | 7 | 94 | 3 | 1 | 0 | 107 | 150 | 183 | 332 | 76 | 184 | 45 | 3 | 143 | -17 | — | — | — | — | — | — |
| 2019 | 22 | A RAW | Hickory Crawdads | — | 210 | 194 | 31 | 12 | 1 | 3 | 10 | 70 | 3 | 1 | 0 | 160 | 213 | 278 | 491 | 119 | 228 | 33 | 5 | 219 | -17 | — | — | — | — | — | — |
| 2014 | 17 | ROK MLE | AZL Rangers | — | 232 | 216 | 31 | 3 | 1 | 1 | 8 | 84 | 6 | 5 | 3 | 144 | 195 | 181 | 375 | 37 | 219 | 36 | 3 | 170 | 1 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | DSL Rangers 1 | — | 197 | 178 | 19 | 4 | 1 | 0 | 10 | 55 | 7 | 2 | 3 | 107 | 183 | 140 | 323 | 34 | 150 | 28 | 5 | 147 | -14 | — | — | — | — | — | — |
| 2016 | 19 | A MLE | 2 teams | — | 215 | 197 | 40 | 6 | 1 | 5 | 6 | 80 | 10 | 8 | 2 | 203 | 260 | 320 | 580 | 117 | 306 | 37 | 3 | 254 | 58 | — | — | — | — | — | — |
| 2017 | 20 | A MLE | Hickory Crawdads | — | 248 | 230 | 33 | 3 | 1 | 4 | 9 | 88 | 7 | 1 | 1 | 143 | 198 | 217 | 415 | 74 | 204 | 35 | 4 | 187 | 13 | — | — | — | — | — | — |
| 2018 | 21 | ROK MLE | AZL Rangers | — | 42 | 35 | 5 | 1 | 0 | 0 | 5 | 20 | 2 | 1 | 0 | 143 | 286 | 171 | 457 | 29 | 276 | 48 | 12 | 204 | 24 | — | — | — | — | — | — |
| 2019 | 22 | A MLE | Hickory Crawdads | — | 210 | 198 | 21 | 7 | 1 | 2 | 7 | 94 | 3 | 1 | 0 | 106 | 150 | 182 | 332 | 76 | 176 | 45 | 3 | 143 | -17 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1144 | 1060 | 149 | 24 | 5 | 12 | 45 | 421 | 35 | 18 | 9 | 141 | 201 | 207 | 407 | 66 | 217 | 37 | 4 | 182 | 9 | -124 | +0 | +0 | -12 | +25 | -11.3 | |
| / 162G | — | MLE | — | 650 | 602 | 85 | 14 | 3 | 7 | 26 | 239 | 20 | 10 | 5 | 141 | 202 | 209 | 412 | 68 | 218 | 37 | 4 | 182 | 9 | -70 | +0 | +0 | -7 | +14 | -6.4 | |
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 AHickory Crawdads · 210 PAwOBA .215 → .143 (−72)K% 33.3% → 44.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 33.33% | ÷0.997 | ×1.340 | — | — | 44.80% |
| BB% (unintentional) /PA | 4.76% | ÷0.955 | ×0.660 | — | ×0.990 | 3.26% |
| HBP% /PA | 1.43% | — | ×0.770 | — | ×0.990 | 1.09% |
| Singles /BIP | 12.10% | ÷1.033 | ×0.920 | ×0.950 | ×0.990 | 10.13% |
| Doubles /BIP | 9.68% | ÷1.106 | ×0.820 | ×0.950 | ×0.990 | 6.75% |
| Triples /BIP | 0.81% | ÷0.907 | ×0.940 | ×0.950 | ×0.990 | 0.79% |
| Home runs /BIP | 2.42% | ÷1.183 | ×0.820 | — | ×0.990 | 1.66% |
Factors used: league row SAL. Park (home-season share, regressed): HR 137, 1B 107, 2B 121, 3B 81, K 99, BB 91 — 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 .215 → .143; ISO .119 → .073; BABIP .228 → .176. 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 ROKAZL Rangers · 42 PAwOBA .308 → .204 (−103)K% 33.3% → 48.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 33.33% | ÷1.000 | ×1.440 | — | — | 48.00% |
| BB% (unintentional) /PA | 19.05% | ÷1.000 | ×0.620 | — | ×0.975 | 11.51% |
| HBP% /PA | 4.76% | — | ×0.720 | — | ×0.975 | 3.34% |
| Singles /BIP | 29.41% | ÷1.000 | ×0.820 | — | ×0.975 | 23.51% |
| Doubles /BIP | 5.88% | ÷1.000 | ×0.720 | — | ×0.975 | 4.13% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.975 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×0.975 | 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 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).
Result: wOBA .308 → .204; ISO .032 → .021; BABIP .353 → .276. 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 AHickory Crawdads · 248 PAwOBA .244 → .187 (−57)K% 26.6% → 35.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.61% | ÷1.010 | ×1.340 | — | — | 35.29% |
| BB% (unintentional) /PA | 5.24% | ÷1.002 | ×0.660 | — | ×1.015 | 3.50% |
| HBP% /PA | 2.82% | — | ×0.770 | — | ×1.015 | 2.21% |
| Singles /BIP | 18.63% | ÷0.988 | ×0.920 | ×0.957 | ×1.015 | 16.87% |
| Doubles /BIP | 2.48% | ÷1.045 | ×0.820 | ×0.957 | ×1.015 | 1.89% |
| Triples /BIP | 1.24% | ÷1.141 | ×0.940 | ×0.957 | ×1.015 | 0.99% |
| Home runs /BIP | 3.73% | ÷1.019 | ×0.820 | — | ×1.015 | 3.04% |
Factors used: league row SAL. Park (home-season share, regressed): HR 104, 1B 98, 2B 109, 3B 128, K 102, BB 100 — 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 ×0.957.
Result: wOBA .244 → .187; ISO .115 → .084; BABIP .232 → .204. 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 AHickory Crawdads · 199 PAwOBA .341 → .255 (−86)K% 28.1% → 38.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.14% | ÷0.990 | ×1.340 | — | — | 38.10% |
| BB% (unintentional) /PA | 4.02% | ÷0.972 | ×0.660 | — | ×1.030 | 2.81% |
| HBP% /PA | 5.03% | — | ×0.770 | — | ×1.030 | 3.99% |
| Singles /BIP | 29.03% | ÷1.041 | ×0.920 | ×0.957 | ×1.030 | 25.28% |
| Doubles /BIP | 4.84% | ÷0.907 | ×0.820 | ×0.957 | ×1.030 | 4.31% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.940 | ×0.957 | ×1.030 | 0.00% |
| Home runs /BIP | 6.45% | ÷1.100 | ×0.820 | — | ×1.030 | 4.95% |
Factors used: league row SAL. Park (home-season share, regressed): HR 120, 1B 108, 2B 81, 3B 80, K 98, BB 94 — 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 ×0.957.
Result: wOBA .341 → .255; ISO .167 → .117; BABIP .362 → .311. 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 ROKAZL Rangers · 16 PAwOBA .352 → .236 (−116)K% 18.8% → 27.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.75% | ÷1.000 | ×1.440 | — | — | 27.00% |
| BB% (unintentional) /PA | 6.25% | ÷1.000 | ×0.620 | — | ×0.995 | 3.86% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.995 | 0.00% |
| Singles /BIP | 8.33% | ÷1.000 | ×0.820 | — | ×0.995 | 6.80% |
| Doubles /BIP | 16.67% | ÷1.000 | ×0.720 | — | ×0.995 | 11.94% |
| Triples /BIP | 8.33% | ÷1.000 | ×0.720 | — | ×0.995 | 5.97% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×0.995 | 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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average).
Result: wOBA .352 → .236; ISO .267 → .176; BABIP .333 → .247. 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 Rangers 1 · 197 PAwOBA .221 → .147 (−74)K% 22.8% → 27.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.84% | ÷1.000 | ×1.220 | — | — | 27.87% |
| BB% (unintentional) /PA | 7.11% | ÷1.000 | ×0.700 | — | ×0.995 | 4.95% |
| HBP% /PA | 3.55% | — | ×0.700 | — | ×0.995 | 2.47% |
| Singles /BIP | 16.03% | ÷1.000 | ×0.680 | ×1.033 | ×0.995 | 11.21% |
| Doubles /BIP | 5.34% | ÷1.000 | ×0.600 | ×1.033 | ×0.995 | 3.30% |
| Triples /BIP | 0.76% | ÷1.000 | ×0.600 | ×1.033 | ×0.995 | 0.47% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.470 | — | ×0.995 | 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 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.033.
Result: wOBA .221 → .147; ISO .051 → .031; BABIP .221 → .150. 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 ROKAZL Rangers · 232 PAwOBA .233 → .170 (−63)K% 25.0% → 36.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.00% | ÷1.000 | ×1.440 | — | — | 36.00% |
| BB% (unintentional) /PA | 5.60% | ÷1.000 | ×0.620 | — | ×1.022 | 3.55% |
| HBP% /PA | 2.59% | — | ×0.720 | — | ×1.022 | 1.90% |
| Singles /BIP | 22.08% | ÷1.000 | ×0.820 | ×1.044 | ×1.022 | 19.33% |
| Doubles /BIP | 2.60% | ÷1.000 | ×0.720 | ×1.044 | ×1.022 | 2.00% |
| Triples /BIP | 0.65% | ÷1.000 | ×0.720 | ×1.044 | ×1.022 | 0.50% |
| Home runs /BIP | 1.30% | ÷1.000 | ×0.780 | — | ×1.022 | 1.04% |
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 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.044.
Result: wOBA .233 → .170; ISO .057 → .039; BABIP .255 → .219. 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).