Andres Regnault
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2016 | 17 | ROKDSL Mets 2 | 126 | .132/.264/.160 | 0 | 2 | -18 | — | .081/.184/.099 |
| 2017 | 18 | ROKDSL Mets 2 | 132 | .270/.359/.383 | 3 | 3 | 30 | — | .160/.237/.202 |
| 2018 | 19 | ROKDSL Mets 1 | 224 | .333/.423/.573 | 9 | 5 | 69 | — | .210/.288/.335 |
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) | |||||||||||||||||||||||||||||||
| 2016 | 17 | ROK | DSL Mets 2 | — | 126 | 106 | 14 | 3 | 0 | 0 | 17 | 39 | 2 | 2 | 0 | 132 | 264 | 160 | 424 | 28 | 209 | 31 | 13 | 215 | -18 | — | — | — | — | — | — |
| 2017 | 18 | ROK | DSL Mets 2 | — | 132 | 115 | 31 | 4 | 0 | 3 | 12 | 28 | 4 | 3 | 2 | 270 | 359 | 383 | 741 | 113 | 333 | 21 | 9 | 336 | 30 | — | — | — | — | — | — |
| 2018 | 19 | ROK | DSL Mets 1 | — | 224 | 192 | 64 | 17 | 1 | 9 | 22 | 33 | 8 | 5 | 3 | 333 | 423 | 573 | 996 | 240 | 362 | 15 | 10 | 433 | 69 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2016 | 17 | ROK MLE | DSL Mets 2 | — | 126 | 111 | 9 | 2 | 0 | 0 | 12 | 48 | 2 | 2 | 0 | 81 | 184 | 99 | 283 | 18 | 137 | 38 | 10 | 141 | -18 | — | — | — | — | — | — |
| 2017 | 18 | ROK MLE | DSL Mets 2 | — | 132 | 119 | 19 | 2 | 0 | 1 | 8 | 34 | 4 | 3 | 2 | 160 | 237 | 202 | 438 | 42 | 221 | 26 | 6 | 213 | 30 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | DSL Mets 1 | — | 224 | 200 | 42 | 11 | 1 | 4 | 14 | 40 | 8 | 5 | 3 | 210 | 288 | 335 | 623 | 125 | 230 | 18 | 6 | 270 | 69 | — | — | — | — | — | — |
| 2016 | 17 | ROK MLE | DSL Mets 2 | — | 126 | 111 | 9 | 2 | 0 | 0 | 12 | 48 | 2 | 2 | 0 | 81 | 184 | 99 | 283 | 18 | 143 | 38 | 10 | 141 | -18 | — | — | — | — | — | — |
| 2016 | 17 | ROK RAW | DSL Mets 2 | — | 126 | 106 | 14 | 3 | 0 | 0 | 17 | 39 | 2 | 2 | 0 | 132 | 264 | 160 | 424 | 28 | 209 | 31 | 13 | 215 | -18 | — | — | — | — | — | — |
| 2017 | 18 | ROK MLE | DSL Mets 2 | — | 132 | 119 | 19 | 2 | 0 | 1 | 8 | 34 | 4 | 3 | 2 | 160 | 237 | 202 | 438 | 42 | 214 | 26 | 6 | 213 | 30 | — | — | — | — | — | — |
| 2017 | 18 | ROK RAW | DSL Mets 2 | — | 132 | 115 | 31 | 4 | 0 | 3 | 12 | 28 | 4 | 3 | 2 | 270 | 359 | 383 | 741 | 113 | 333 | 21 | 9 | 336 | 30 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | DSL Mets 1 | — | 224 | 200 | 42 | 11 | 1 | 4 | 14 | 40 | 8 | 5 | 3 | 210 | 288 | 335 | 623 | 125 | 241 | 18 | 6 | 270 | 69 | — | — | — | — | — | — |
| 2018 | 19 | ROK RAW | DSL Mets 1 | — | 224 | 192 | 64 | 17 | 1 | 9 | 22 | 33 | 8 | 5 | 3 | 333 | 423 | 573 | 996 | 240 | 362 | 15 | 10 | 433 | 69 | — | — | — | — | — | — |
| 2016 | 17 | ROK MLE | DSL Mets 2 | — | 126 | 111 | 9 | 2 | 0 | 0 | 12 | 48 | 2 | 2 | 0 | 81 | 184 | 99 | 283 | 18 | 137 | 38 | 10 | 141 | -18 | — | — | — | — | — | — |
| 2017 | 18 | ROK MLE | DSL Mets 2 | — | 132 | 119 | 19 | 2 | 0 | 1 | 8 | 34 | 4 | 3 | 2 | 160 | 237 | 202 | 438 | 42 | 221 | 26 | 6 | 213 | 30 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | DSL Mets 1 | — | 224 | 200 | 42 | 11 | 1 | 4 | 14 | 40 | 8 | 5 | 3 | 210 | 288 | 335 | 623 | 125 | 230 | 18 | 6 | 270 | 69 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 482 | 430 | 70 | 15 | 1 | 5 | 34 | 122 | 14 | 10 | 5 | 163 | 247 | 237 | 484 | 74 | 213 | 25 | 7 | 221 | 35 | -37 | +0 | +0 | +9 | +10 | -1.8 | |
| / 162G | — | MLE | — | 650 | 580 | 94 | 20 | 1 | 7 | 46 | 165 | 19 | 13 | 7 | 162 | 247 | 236 | 483 | 74 | 212 | 25 | 7 | 221 | 35 | -50 | -0 | +0 | +12 | +14 | -2.5 | |
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 DSLDSL Mets 1 · 224 PAwOBA .422 → .270 (−153)K% 14.7% → 18.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.73% | ÷1.000 | ×1.220 | — | — | 17.97% |
| BB% (unintentional) /PA | 8.93% | ÷1.000 | ×0.700 | — | ×0.985 | 6.16% |
| HBP% /PA | 3.57% | — | ×0.700 | — | ×0.985 | 2.46% |
| Singles /BIP | 23.27% | ÷1.000 | ×0.680 | ×1.020 | ×0.985 | 15.90% |
| Doubles /BIP | 10.69% | ÷1.000 | ×0.600 | ×1.020 | ×0.985 | 6.44% |
| Triples /BIP | 0.63% | ÷1.000 | ×0.600 | ×1.020 | ×0.985 | 0.38% |
| Home runs /BIP | 5.66% | ÷1.000 | ×0.470 | — | ×0.985 | 2.62% |
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 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.020.
Result: wOBA .422 → .270; ISO .240 → .129; BABIP .362 → .230. 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 DSLDSL Mets 2 · 132 PAwOBA .328 → .213 (−115)K% 21.2% → 25.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.21% | ÷1.000 | ×1.220 | — | — | 25.88% |
| BB% (unintentional) /PA | 9.09% | ÷1.000 | ×0.700 | — | ×0.995 | 6.33% |
| HBP% /PA | 3.03% | — | ×0.700 | — | ×0.995 | 2.11% |
| Singles /BIP | 27.59% | ÷1.000 | ×0.680 | ×1.017 | ×0.995 | 18.99% |
| Doubles /BIP | 4.60% | ÷1.000 | ×0.600 | ×1.017 | ×0.995 | 2.79% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.600 | ×1.017 | ×0.995 | 0.00% |
| Home runs /BIP | 3.45% | ÷1.000 | ×0.470 | — | ×0.995 | 1.61% |
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 ×1.017.
Result: wOBA .328 → .213; ISO .113 → .058; BABIP .333 → .221. 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 DSLDSL Mets 2 · 126 PAwOBA .211 → .141 (−70)K% 31.0% → 37.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 30.95% | ÷1.000 | ×1.220 | — | — | 37.76% |
| BB% (unintentional) /PA | 13.49% | ÷1.000 | ×0.700 | — | ×1.008 | 9.52% |
| HBP% /PA | 1.59% | — | ×0.700 | — | ×1.008 | 1.12% |
| Singles /BIP | 16.42% | ÷1.000 | ×0.680 | ×0.982 | ×1.008 | 11.05% |
| Doubles /BIP | 4.48% | ÷1.000 | ×0.600 | ×0.982 | ×1.008 | 2.66% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.600 | ×0.982 | ×1.008 | 0.00% |
| 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 ×0.982.
Result: wOBA .211 → .141; ISO .028 → .016; BABIP .209 → .137. 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).