Jhonny Bethencourt
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2016 | 19 | ROKAZL Cubs | 139 | .235/.353/.313 | 0 | 7 | 42 | — | .180/.265/.230 |
| 2018 | 21 | ACHC | 279 | .274/.322/.381 | 1 | 7 | 63 | — | .245/.281/.339 |
| 2019 | 22 | A+/ROK2 orgs | 205 | .208/.288/.247 | 0 | 7 | 15 | — | .177/.227/.210 |
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 | 18 | ROK | VSL Cubs | — | 258 | 216 | 69 | 11 | 3 | 0 | 32 | 29 | 4 | 15 | 14 | 319 | 417 | 398 | 815 | 79 | 361 | 11 | 12 | 364 | 62 | — | — | — | — | — | — |
| 2016 | 19 | ROK | AZL Cubs | — | 139 | 115 | 27 | 3 | 3 | 0 | 19 | 20 | 2 | 7 | 2 | 235 | 353 | 313 | 666 | 78 | 284 | 14 | 14 | 305 | 42 | — | — | — | — | — | — |
| 2018 | 21 | A | South Bend Cubs | — | 279 | 252 | 69 | 14 | 5 | 1 | 17 | 58 | 1 | 7 | 3 | 274 | 322 | 381 | 703 | 107 | 345 | 21 | 6 | 305 | 63 | — | — | — | — | — | — |
| 2019 | 22 | A+ | Myrtle Beach Pelicans | — | 182 | 157 | 31 | 6 | 0 | 0 | 19 | 40 | 0 | 7 | 8 | 197 | 284 | 236 | 520 | 38 | 258 | 22 | 10 | 239 | 15 | — | — | — | — | — | — |
| 2019 | 22 | ROK | AZL Cubs 2 | — | 23 | 21 | 6 | 1 | 0 | 0 | 1 | 7 | 0 | 0 | 0 | 286 | 318 | 333 | 652 | 48 | 400 | 30 | 4 | 283 | 18 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2015 | 18 | ROK MLE | VSL Cubs | — | 258 | 226 | 50 | 7 | 2 | 0 | 22 | 35 | 4 | 15 | 14 | 221 | 302 | 270 | 571 | 49 | 251 | 14 | 9 | 260 | 62 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | AZL Cubs | — | 139 | 122 | 22 | 2 | 2 | 0 | 12 | 29 | 2 | 7 | 2 | 180 | 265 | 230 | 494 | 49 | 238 | 21 | 9 | 230 | 42 | — | — | — | — | — | — |
| 2018 | 21 | A MLE | South Bend Cubs | — | 279 | 257 | 63 | 11 | 5 | 1 | 12 | 78 | 1 | 7 | 3 | 245 | 281 | 339 | 620 | 93 | 322 | 28 | 4 | 262 | 63 | — | — | — | — | — | — |
| 2019 | 22 | A+ MLE | Myrtle Beach Pelicans | — | 182 | 165 | 28 | 5 | 0 | 0 | 11 | 56 | 0 | 7 | 8 | 170 | 222 | 200 | 422 | 30 | 236 | 31 | 6 | 190 | 15 | — | — | — | — | — | — |
| 2019 | 22 | ROK MLE | AZL Cubs 2 | — | 23 | 21 | 5 | 1 | 0 | 0 | 1 | 10 | 0 | 0 | 0 | 238 | 273 | 286 | 558 | 48 | 310 | 43 | 4 | 195 | 18 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | VSL Cubs | — | 258 | 226 | 50 | 7 | 2 | 0 | 22 | 35 | 4 | 15 | 14 | 221 | 302 | 270 | 571 | 49 | 256 | 14 | 9 | 260 | 62 | — | — | — | — | — | — |
| 2015 | 18 | ROK RAW | VSL Cubs | — | 258 | 216 | 69 | 11 | 3 | 0 | 32 | 29 | 4 | 15 | 14 | 319 | 417 | 398 | 815 | 79 | 361 | 11 | 12 | 364 | 62 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | AZL Cubs | — | 139 | 122 | 22 | 2 | 2 | 0 | 12 | 29 | 2 | 7 | 2 | 180 | 265 | 230 | 494 | 49 | 237 | 21 | 9 | 230 | 42 | — | — | — | — | — | — |
| 2016 | 19 | ROK RAW | AZL Cubs | — | 139 | 115 | 27 | 3 | 3 | 0 | 19 | 20 | 2 | 7 | 2 | 235 | 353 | 313 | 666 | 78 | 284 | 14 | 14 | 305 | 42 | — | — | — | — | — | — |
| 2018 | 21 | A MLE | South Bend Cubs | — | 279 | 257 | 63 | 11 | 5 | 1 | 12 | 78 | 1 | 7 | 3 | 245 | 281 | 339 | 620 | 93 | 341 | 28 | 4 | 262 | 63 | — | — | — | — | — | — |
| 2018 | 21 | A RAW | South Bend Cubs | — | 279 | 252 | 69 | 14 | 5 | 1 | 17 | 58 | 1 | 7 | 3 | 274 | 322 | 381 | 703 | 107 | 345 | 21 | 6 | 305 | 63 | — | — | — | — | — | — |
| 2019 | 22 | A+ MLE | 2 teams | — | 205 | 186 | 31 | 5 | 0 | 0 | 12 | 66 | 0 | 7 | 8 | 167 | 217 | 194 | 411 | 27 | 250 | 32 | 6 | 191 | 15 | — | — | — | — | — | — |
| 2019 | 22 | A+ RAW | 2 teams | — | 205 | 178 | 37 | 7 | 0 | 0 | 20 | 47 | 0 | 7 | 8 | 208 | 288 | 247 | 535 | 39 | 274 | 23 | 10 | 244 | 15 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | VSL Cubs | — | 258 | 230 | 50 | 7 | 2 | 0 | 22 | 35 | 4 | 15 | 14 | 217 | 302 | 265 | 567 | 48 | 251 | 14 | 9 | 260 | 62 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | AZL Cubs | — | 139 | 124 | 22 | 2 | 2 | 0 | 12 | 29 | 2 | 7 | 2 | 177 | 265 | 226 | 491 | 48 | 238 | 21 | 9 | 230 | 42 | — | — | — | — | — | — |
| 2018 | 21 | A MLE | South Bend Cubs | — | 279 | 264 | 63 | 11 | 5 | 1 | 12 | 78 | 1 | 7 | 3 | 239 | 281 | 330 | 611 | 91 | 322 | 28 | 4 | 262 | 63 | — | — | — | — | — | — |
| 2019 | 22 | A+ MLE | 2 teams | — | 205 | 191 | 31 | 5 | 0 | 0 | 12 | 66 | 0 | 7 | 8 | 162 | 217 | 188 | 406 | 26 | 244 | 32 | 6 | 191 | 15 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 881 | 791 | 166 | 25 | 9 | 1 | 58 | 208 | 7 | 36 | 27 | 210 | 270 | 268 | 538 | 58 | 278 | 24 | 7 | 240 | 48 | -54 | -4 | +0 | +3 | +19 | -3.6 | |
| / 162G | — | MLE | — | 650 | 584 | 123 | 18 | 7 | 1 | 43 | 153 | 5 | 27 | 20 | 211 | 271 | 271 | 542 | 60 | 278 | 24 | 7 | 240 | 48 | -40 | -3 | +0 | +2 | +14 | -2.7 | |
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+Myrtle Beach Pelicans · 182 PAwOBA .235 → .190 (−45)K% 22.0% → 30.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.98% | ÷1.009 | ×1.420 | — | — | 30.92% |
| BB% (unintentional) /PA | 9.89% | ÷1.041 | ×0.630 | — | ×1.012 | 6.06% |
| HBP% /PA | 0.00% | — | ×0.860 | — | ×1.012 | 0.00% |
| Singles /BIP | 21.37% | ÷0.967 | ×0.940 | ×0.950 | ×1.012 | 19.97% |
| Doubles /BIP | 5.13% | ÷0.968 | ×0.830 | ×0.950 | ×1.012 | 4.23% |
| Triples /BIP | 0.00% | ÷0.964 | ×0.800 | ×0.950 | ×1.012 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.956 | ×0.900 | — | ×1.012 | 0.00% |
Factors used: league row CAR. Park (home-season share, regressed): HR 91, 1B 93, 2B 94, 3B 93, K 102, BB 108 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .235 → .190; ISO .038 → .031; BABIP .258 → .236. 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).
2019 ROKAZL Cubs 2 · 23 PAwOBA .288 → .195 (−93)K% 30.4% → 43.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 30.43% | ÷1.000 | ×1.440 | — | — | 43.83% |
| BB% (unintentional) /PA | 4.35% | ÷1.000 | ×0.620 | — | ×0.975 | 2.63% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.975 | 0.00% |
| Singles /BIP | 35.71% | ÷1.000 | ×0.820 | — | ×0.975 | 28.55% |
| Doubles /BIP | 7.14% | ÷1.000 | ×0.720 | — | ×0.975 | 5.01% |
| 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 .288 → .195; ISO .048 → .029; BABIP .400 → .310. 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 ASouth Bend Cubs · 279 PAwOBA .301 → .262 (−40)K% 20.8% → 28.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.79% | ÷1.005 | ×1.360 | — | — | 28.14% |
| BB% (unintentional) /PA | 6.09% | ÷0.968 | ×0.690 | — | ×1.015 | 4.41% |
| HBP% /PA | 0.36% | — | ×0.780 | — | ×1.015 | 0.28% |
| Singles /BIP | 25.26% | ÷0.982 | ×0.920 | ×1.025 | ×1.015 | 24.63% |
| Doubles /BIP | 7.22% | ÷1.092 | ×0.830 | ×1.025 | ×1.015 | 5.71% |
| Triples /BIP | 2.58% | ÷1.000 | ×0.910 | ×1.025 | ×1.015 | 2.44% |
| Home runs /BIP | 0.52% | ÷0.881 | ×0.800 | — | ×1.015 | 0.48% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 76, 1B 96, 2B 118, 3B 100, K 101, BB 94 — 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 ×1.025.
Result: wOBA .301 → .262; ISO .107 → .089; BABIP .345 → .322. 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 Cubs · 139 PAwOBA .298 → .230 (−68)K% 14.4% → 20.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.39% | ÷1.000 | ×1.440 | — | — | 20.72% |
| BB% (unintentional) /PA | 13.67% | ÷1.000 | ×0.620 | — | ×1.008 | 8.54% |
| HBP% /PA | 1.44% | — | ×0.720 | — | ×1.008 | 1.04% |
| Singles /BIP | 22.11% | ÷1.000 | ×0.820 | ×1.043 | ×1.008 | 19.05% |
| Doubles /BIP | 3.16% | ÷1.000 | ×0.720 | ×1.043 | ×1.008 | 2.39% |
| Triples /BIP | 3.16% | ÷1.000 | ×0.720 | ×1.043 | ×1.008 | 2.39% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×1.008 | 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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.043.
Result: wOBA .298 → .230; ISO .078 → .060; BABIP .284 → .238. 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 DSLVSL Cubs · 258 PAwOBA .361 → .260 (−101)K% 11.2% → 13.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.24% | ÷1.000 | ×1.220 | — | — | 13.71% |
| BB% (unintentional) /PA | 12.40% | ÷1.000 | ×0.700 | — | ×1.008 | 8.75% |
| HBP% /PA | 1.55% | — | ×0.700 | — | ×1.008 | 1.09% |
| Singles /BIP | 29.41% | ÷1.000 | ×0.680 | ×1.036 | ×1.008 | 20.88% |
| Doubles /BIP | 5.88% | ÷1.000 | ×0.600 | ×1.036 | ×1.008 | 3.69% |
| Triples /BIP | 1.60% | ÷1.000 | ×0.600 | ×1.036 | ×1.008 | 1.01% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.470 | — | ×1.008 | 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 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.036.
Result: wOBA .361 → .260; ISO .079 → .052; BABIP .361 → .251. 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).