Newremberg Rondon
C Lakeland Flying Tigers| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 21 | ROKDSL Tigers 2 | 177 | .313/.360/.429 | 2 | 1 | 30 | — | .198/.234/.269 |
| 2025 | 22 | ROKDET | 96 | .186/.263/.209 | 0 | 0 | -10 | — | .122/.168/.133 |
| 2026 | 23 | A/ROKDET | 92 | .202/.272/.286 | 1 | 0 | 12 | — | .150/.196/.218 |
| 2027PROJMLE | 24 | MLBDET | 200 | .207/.264/.294 | 2 | 2 | 57 | 0.0 | |
| 2028PROJ30% MLB | 25 | MLBDET | 31 | .208/.265/.302 | 0 | 0 | 62 | -0.0 | |
| 2029PROJ44% MLB | 26 | MLBDET | 71 | .211/.269/.312 | 1 | 1 | 66 | 0.0 |
Tools · Contract
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) | |||||||||||||||||||||||||||||||
| 2021 | 18 | ROK | DSL Tigers | — | 102 | 89 | 27 | 9 | 0 | 0 | 8 | 23 | 1 | 2 | 0 | 303 | 367 | 404 | 772 | 101 | 386 | 23 | 8 | 335 | 29 | — | — | — | — | — | — |
| 2022 | 19 | ROK | DSL Tigers 2 | — | 128 | 111 | 30 | 6 | 0 | 1 | 13 | 22 | 4 | 1 | 0 | 270 | 367 | 351 | 719 | 81 | 330 | 17 | 10 | 333 | 30 | — | — | — | — | — | — |
| 2023 | 20 | ROK | DSL Tigers 2 | — | 50 | 43 | 10 | 3 | 0 | 3 | 5 | 10 | 1 | 0 | 0 | 233 | 327 | 512 | 838 | 279 | 226 | 20 | 10 | 359 | 26 | — | — | — | — | — | — |
| 2024 | 21 | ROK | DSL Tigers 2 | — | 177 | 163 | 51 | 11 | 1 | 2 | 11 | 28 | 1 | 1 | 0 | 313 | 360 | 429 | 789 | 117 | 366 | 16 | 6 | 349 | 30 | — | — | — | — | — | — |
| 2025 | 22 | ROK | FCL Tigers | — | 96 | 86 | 16 | 2 | 0 | 0 | 9 | 19 | 0 | 0 | 1 | 186 | 263 | 209 | 472 | 23 | 235 | 20 | 9 | 224 | -10 | — | — | — | — | — | — |
| 2026 | 23 | A | Lakeland Flying Tigers | — | 71 | 63 | 12 | 1 | 0 | 1 | 8 | 21 | 0 | 0 | 0 | 190 | 282 | 254 | 536 | 63 | 268 | 30 | 11 | 253 | 14 | — | — | — | — | — | — |
| 2026 | 23 | ROK | FCL Tigers | — | 21 | 21 | 5 | 3 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 238 | 238 | 381 | 619 | 143 | 278 | 14 | 0 | 270 | 5 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2021 | 18 | ROK MLE | DSL Tigers | — | 102 | 91 | 16 | 5 | 0 | 0 | 6 | 28 | 1 | 2 | 0 | 176 | 235 | 231 | 465 | 55 | 228 | 27 | 6 | 211 | 29 | — | — | — | — | — | — |
| 2022 | 19 | ROK MLE | DSL Tigers 2 | — | 128 | 115 | 20 | 3 | 0 | 1 | 9 | 27 | 4 | 1 | 0 | 174 | 258 | 226 | 484 | 52 | 214 | 21 | 7 | 212 | 30 | — | — | — | — | — | — |
| 2023 | 20 | ROK MLE | DSL Tigers 2 | — | 50 | 45 | 6 | 2 | 0 | 1 | 3 | 12 | 1 | 0 | 0 | 133 | 204 | 244 | 449 | 111 | 131 | 24 | 6 | 206 | 26 | — | — | — | — | — | — |
| 2024 | 21 | ROK MLE | DSL Tigers 2 | — | 177 | 167 | 33 | 7 | 1 | 1 | 7 | 35 | 1 | 1 | 0 | 198 | 234 | 269 | 504 | 72 | 231 | 20 | 4 | 213 | 30 | — | — | — | — | — | — |
| 2025 | 22 | ROK MLE | FCL Tigers | — | 96 | 90 | 11 | 1 | 0 | 0 | 5 | 27 | 0 | 0 | 1 | 122 | 168 | 133 | 302 | 11 | 183 | 28 | 5 | 153 | -10 | — | — | — | — | — | — |
| 2026 | 23 | A MLE | Lakeland Flying Tigers | — | 71 | 66 | 10 | 1 | 0 | 1 | 5 | 29 | 0 | 0 | 0 | 152 | 211 | 212 | 423 | 61 | 250 | 41 | 7 | 189 | 14 | — | — | — | — | — | — |
| 2026 | 23 | ROK MLE | FCL Tigers | — | 21 | 21 | 3 | 2 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 143 | 143 | 238 | 381 | 95 | 204 | 19 | 0 | 176 | 5 | — | — | — | — | — | — |
| 2021 | 18 | ROK MLE | DSL Tigers | — | 102 | 91 | 16 | 5 | 0 | 0 | 6 | 28 | 1 | 2 | 0 | 176 | 235 | 231 | 465 | 55 | 239 | 27 | 6 | 211 | 29 | — | — | — | — | — | — |
| 2021 | 18 | ROK RAW | DSL Tigers | — | 102 | 89 | 27 | 9 | 0 | 0 | 8 | 23 | 1 | 2 | 0 | 303 | 367 | 404 | 772 | 101 | 386 | 23 | 8 | 335 | 29 | — | — | — | — | — | — |
| 2022 | 19 | ROK MLE | DSL Tigers 2 | — | 128 | 115 | 20 | 3 | 0 | 1 | 9 | 27 | 4 | 1 | 0 | 174 | 258 | 226 | 484 | 52 | 218 | 21 | 7 | 212 | 30 | — | — | — | — | — | — |
| 2022 | 19 | ROK RAW | DSL Tigers 2 | — | 128 | 111 | 30 | 6 | 0 | 1 | 13 | 22 | 4 | 1 | 0 | 270 | 367 | 351 | 719 | 81 | 330 | 17 | 10 | 333 | 30 | — | — | — | — | — | — |
| 2023 | 20 | ROK MLE | DSL Tigers 2 | — | 50 | 45 | 6 | 2 | 0 | 1 | 3 | 12 | 1 | 0 | 0 | 133 | 204 | 244 | 449 | 111 | 152 | 24 | 6 | 206 | 26 | — | — | — | — | — | — |
| 2023 | 20 | ROK RAW | DSL Tigers 2 | — | 50 | 43 | 10 | 3 | 0 | 3 | 5 | 10 | 1 | 0 | 0 | 233 | 327 | 512 | 838 | 279 | 226 | 20 | 10 | 359 | 26 | — | — | — | — | — | — |
| 2024 | 21 | ROK MLE | DSL Tigers 2 | — | 177 | 167 | 33 | 7 | 1 | 1 | 7 | 35 | 1 | 1 | 0 | 198 | 234 | 269 | 504 | 72 | 242 | 20 | 4 | 213 | 30 | — | — | — | — | — | — |
| 2024 | 21 | ROK RAW | DSL Tigers 2 | — | 177 | 163 | 51 | 11 | 1 | 2 | 11 | 28 | 1 | 1 | 0 | 313 | 360 | 429 | 789 | 117 | 366 | 16 | 6 | 349 | 30 | — | — | — | — | — | — |
| 2025 | 22 | ROK MLE | FCL Tigers | — | 96 | 90 | 11 | 1 | 0 | 0 | 5 | 27 | 0 | 0 | 1 | 122 | 168 | 133 | 302 | 11 | 172 | 28 | 5 | 153 | -10 | — | — | — | — | — | — |
| 2025 | 22 | ROK RAW | FCL Tigers | — | 96 | 86 | 16 | 2 | 0 | 0 | 9 | 19 | 0 | 0 | 1 | 186 | 263 | 209 | 472 | 23 | 235 | 20 | 9 | 224 | -10 | — | — | — | — | — | — |
| 2026 | 23 | A MLE | 2 teams | — | 92 | 87 | 14 | 3 | 0 | 1 | 5 | 33 | 0 | 0 | 0 | 161 | 207 | 230 | 436 | 69 | 245 | 36 | 5 | 186 | 12 | — | — | — | — | — | — |
| 2026 | 23 | A RAW | 2 teams | — | 92 | 84 | 17 | 4 | 0 | 1 | 8 | 24 | 0 | 0 | 0 | 202 | 272 | 286 | 557 | 83 | 271 | 26 | 9 | 257 | 12 | — | — | — | — | — | — |
| 2021 | 18 | ROK MLE | DSL Tigers | — | 102 | 94 | 16 | 5 | 0 | 0 | 6 | 28 | 1 | 2 | 0 | 170 | 235 | 223 | 458 | 53 | 228 | 27 | 6 | 211 | 29 | — | — | — | — | — | — |
| 2022 | 19 | ROK MLE | DSL Tigers 2 | — | 128 | 114 | 20 | 3 | 0 | 1 | 9 | 27 | 4 | 1 | 0 | 175 | 258 | 228 | 486 | 53 | 214 | 21 | 7 | 212 | 30 | — | — | — | — | — | — |
| 2023 | 20 | ROK MLE | DSL Tigers 2 | — | 50 | 46 | 6 | 2 | 0 | 1 | 3 | 12 | 1 | 0 | 0 | 130 | 204 | 239 | 443 | 109 | 131 | 24 | 6 | 206 | 26 | — | — | — | — | — | — |
| 2024 | 21 | ROK MLE | DSL Tigers 2 | — | 177 | 167 | 33 | 7 | 1 | 1 | 7 | 35 | 1 | 1 | 0 | 198 | 234 | 269 | 504 | 72 | 231 | 20 | 4 | 213 | 30 | — | — | — | — | — | — |
| 2025 | 22 | ROK MLE | FCL Tigers | — | 96 | 91 | 11 | 1 | 0 | 0 | 5 | 27 | 0 | 0 | 1 | 121 | 168 | 132 | 300 | 11 | 183 | 28 | 5 | 153 | -10 | — | — | — | — | — | — |
| 2026 | 23 | A MLE | 2 teams | — | 92 | 87 | 14 | 3 | 0 | 1 | 5 | 33 | 0 | 0 | 0 | 161 | 207 | 230 | 436 | 69 | 239 | 36 | 5 | 186 | 12 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 21 | ROK MLE | DSL Tigers 2 | — | 177 | 167 | 33 | 7 | 1 | 1 | 7 | 35 | 1 | 1 | 0 | 198 | 234 | 269 | 504 | 72 | 231 | 20 | 4 | 213 | 30 | — | — | — | — | — | — |
| 2025 | 22 | ROK MLE | FCL Tigers | — | 96 | 91 | 11 | 1 | 0 | 0 | 5 | 27 | 0 | 0 | 1 | 121 | 168 | 132 | 300 | 11 | 183 | 28 | 5 | 153 | -10 | — | — | — | — | — | — |
| 2026 | 23 | A MLE | 2 teams | — | 92 | 87 | 14 | 3 | 0 | 1 | 5 | 33 | 0 | 0 | 0 | 161 | 207 | 230 | 436 | 69 | 239 | 36 | 5 | 186 | 12 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 24 | MLB MLE | DET | 0% | 200 | 184 | 38 | 7 | 1 | 2 | 13 | 57 | 1 | 2 | 1 | 207 | 264 | 294 | 558 | 87 | 283 | 28 | 6 | 253 | 57 | -10 | +0 | +0 | +4 | +4 | 0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 25 | MLB MLE | DET | 30% | 103 | 94 | 20 | 4 | 1 | 1 | 7 | 29 | 1 | 1 | 0 | 211 | 268 | 308 | 577 | 97 | 284 | 28 | 7 | 260 | 62 | -5 | +0 | +0 | +2 | +2 | -0.0 |
| 2029 | 26 | MLB MLE | DET | 44% | 162 | 149 | 33 | 6 | 1 | 3 | 11 | 45 | 1 | 2 | 1 | 214 | 272 | 319 | 591 | 105 | 284 | 28 | 7 | 266 | 66 | -6 | +0 | +0 | +3 | +4 | -0.0 |
| 2030 | 27 | MLB MLE | DET | 49% | 206 | 189 | 41 | 7 | 1 | 4 | 14 | 57 | 1 | 2 | 1 | 215 | 273 | 321 | 594 | 106 | 284 | 28 | 7 | 268 | 67 | -8 | +0 | +0 | +4 | +4 | 0.0 |
| 2028 | 25 | MLB CTX | DET | 30% | 31 | 29 | 5 | 1 | 0 | 0 | 2 | 9 | 0 | 0 | 0 | 208 | 265 | 302 | 567 | 94 | 280 | 29 | 6 | 256 | 62 | -1 | +0 | +0 | +1 | +1 | -0.0 |
| 2029 | 26 | MLB CTX | DET | 44% | 71 | 65 | 13 | 2 | 0 | 1 | 5 | 20 | 1 | 1 | 0 | 211 | 269 | 312 | 581 | 102 | 280 | 28 | 7 | 262 | 66 | -3 | +0 | +0 | +1 | +2 | 0.0 |
| 2030 | 27 | MLB CTX | DET | 49% | 101 | 92 | 20 | 3 | 1 | 2 | 7 | 28 | 1 | 1 | 0 | 211 | 270 | 314 | 584 | 103 | 280 | 28 | 7 | 264 | 67 | -4 | +0 | +0 | +2 | +2 | 0.0 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 203 | 186 | 38 | 6 | 1 | 3 | 14 | 57 | 2 | 2 | 0 | 204 | 267 | 296 | 563 | 91 | 276 | 28 | 7 | 262 | 41 | -8 | +0 | +0 | +4 | +4 | 0.0 | |
| / 162G | — | A+C | — | 650 | 596 | 122 | 19 | 3 | 10 | 45 | 183 | 6 | 6 | 0 | 205 | 267 | 297 | 564 | 92 | 276 | 28 | 7 | 262 | 41 | -26 | +1 | +0 | +12 | +14 | 0.1 | |
| Career | — | MLE | — | 1176 | 1083 | 205 | 40 | 4 | 13 | 71 | 310 | 10 | 10 | 3 | 189 | 246 | 270 | 515 | 80 | 249 | 26 | 6 | 229 | 41 | -22 | +0 | +0 | +9 | +12 | -0.1 | |
| / 162G | — | MLE | — | 650 | 599 | 113 | 22 | 2 | 7 | 39 | 171 | 6 | 6 | 2 | 189 | 246 | 267 | 513 | 78 | 248 | 26 | 6 | 229 | 41 | -27 | +0 | +0 | +12 | +14 | -0.1 | |
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.
2026 ALakeland Flying Tigers · 71 PAwOBA .247 → .189 (−59)K% 29.6% → 40.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.58% | ÷1.000 | ×1.360 | — | — | 40.23% |
| BB% (unintentional) /PA | 11.27% | ÷1.000 | ×0.690 | — | ×0.990 | 7.70% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×0.990 | 0.00% |
| Singles /BIP | 23.81% | ÷1.000 | ×0.920 | ×1.037 | ×0.990 | 22.48% |
| Doubles /BIP | 2.38% | ÷1.000 | ×0.830 | ×1.037 | ×0.990 | 2.03% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.910 | ×1.037 | ×0.990 | 0.00% |
| Home runs /BIP | 2.38% | ÷1.000 | ×0.800 | — | ×0.990 | 1.89% |
Factors used: level-wide A 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 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 ×1.037.
Result: wOBA .247 → .189; ISO .063 → .045; BABIP .268 → .250. 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).
2026 ROKFCL Tigers · 21 PAwOBA .262 → .176 (−86)K% 14.3% → 20.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.29% | ÷1.000 | ×1.440 | — | — | 20.57% |
| BB% (unintentional) /PA | 0.00% | ÷1.000 | ×0.620 | — | ×0.965 | 0.00% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.965 | 0.00% |
| Singles /BIP | 11.11% | ÷1.000 | ×0.820 | — | ×0.965 | 8.79% |
| Doubles /BIP | 16.67% | ÷1.000 | ×0.720 | — | ×0.965 | 11.58% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.965 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×0.965 | 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 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average).
Result: wOBA .262 → .176; ISO .143 → .092; BABIP .278 → .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).
2025 ROKFCL Tigers · 96 PAwOBA .221 → .153 (−68)K% 19.8% → 28.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.79% | ÷1.001 | ×1.440 | — | — | 28.47% |
| BB% (unintentional) /PA | 9.38% | ÷0.996 | ×0.620 | — | ×0.975 | 5.69% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.975 | 0.00% |
| Singles /BIP | 20.90% | ÷0.974 | ×0.820 | ×0.965 | ×0.975 | 16.55% |
| Doubles /BIP | 2.99% | ÷0.992 | ×0.720 | ×0.965 | ×0.975 | 2.04% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.720 | ×0.965 | ×0.975 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.880 | ×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): HR 76, 1B 95, 2B 98, 3B 80, K 100, BB 99 — 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 ×0.965.
Result: wOBA .221 → .153; ISO .023 → .015; BABIP .235 → .183. 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).
2024 DSLDSL Tigers 2 · 177 PAwOBA .340 → .213 (−127)K% 15.8% → 19.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.82% | ÷0.986 | ×1.220 | — | — | 19.57% |
| BB% (unintentional) /PA | 5.65% | ÷0.973 | ×0.700 | — | ×0.975 | 3.96% |
| HBP% /PA | 0.56% | — | ×0.700 | — | ×0.975 | 0.39% |
| Singles /BIP | 27.41% | ÷0.995 | ×0.680 | ×0.975 | ×0.975 | 17.81% |
| Doubles /BIP | 8.15% | ÷0.951 | ×0.600 | ×0.975 | ×0.975 | 4.89% |
| Triples /BIP | 0.74% | ÷1.135 | ×0.600 | ×0.975 | ×0.975 | 0.37% |
| Home runs /BIP | 1.48% | ÷0.995 | ×0.470 | — | ×0.975 | 0.68% |
Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 99, 2B 90, 3B 127, K 97, BB 95 — applied at half strength. Age: age 21 vs a level average of 18.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.975.
Result: wOBA .340 → .213; ISO .117 → .063; BABIP .366 → .231. 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).
2023 DSLDSL Tigers 2 · 50 PAwOBA .356 → .206 (−150)K% 20.0% → 24.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.00% | ÷0.983 | ×1.220 | — | — | 24.83% |
| BB% (unintentional) /PA | 10.00% | ÷0.997 | ×0.700 | — | ×0.985 | 6.91% |
| HBP% /PA | 2.00% | — | ×0.700 | — | ×0.985 | 1.38% |
| Singles /BIP | 12.12% | ÷1.012 | ×0.680 | — | ×0.985 | 8.02% |
| Doubles /BIP | 9.09% | ÷1.101 | ×0.600 | — | ×0.985 | 4.88% |
| Triples /BIP | 0.00% | ÷1.009 | ×0.600 | — | ×0.985 | 0.00% |
| Home runs /BIP | 9.09% | ÷1.009 | ×0.470 | — | ×0.985 | 4.17% |
Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 102, 2B 120, 3B 102, K 97, BB 99 — 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).
Result: wOBA .356 → .206; ISO .279 → .135; BABIP .226 → .131. 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).
2022 DSLDSL Tigers 2 · 128 PAwOBA .325 → .212 (−113)K% 17.2% → 21.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.19% | ÷0.991 | ×1.220 | — | — | 21.16% |
| BB% (unintentional) /PA | 10.16% | ÷1.003 | ×0.700 | — | ×0.995 | 7.05% |
| HBP% /PA | 3.12% | — | ×0.700 | — | ×0.995 | 2.18% |
| Singles /BIP | 25.84% | ÷0.988 | ×0.680 | ×0.987 | ×0.995 | 17.45% |
| Doubles /BIP | 6.74% | ÷1.047 | ×0.600 | ×0.987 | ×0.995 | 3.79% |
| Triples /BIP | 0.00% | ÷1.113 | ×0.600 | ×0.987 | ×0.995 | 0.00% |
| Home runs /BIP | 1.12% | ÷0.933 | ×0.470 | — | ×0.995 | 0.56% |
Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 87, 1B 98, 2B 109, 3B 123, K 98, BB 101 — 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 ×0.987.
Result: wOBA .325 → .212; ISO .081 → .044; BABIP .330 → .214. 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).
2021 DSLDSL Tigers · 102 PAwOBA .340 → .211 (−129)K% 22.5% → 27.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.55% | ÷1.006 | ×1.220 | — | — | 27.34% |
| BB% (unintentional) /PA | 7.84% | ÷0.994 | ×0.700 | — | ×1.008 | 5.57% |
| HBP% /PA | 0.98% | — | ×0.700 | — | ×1.008 | 0.69% |
| Singles /BIP | 27.27% | ÷1.048 | ×0.680 | ×0.950 | ×1.008 | 16.94% |
| Doubles /BIP | 13.64% | ÷1.082 | ×0.600 | ×0.950 | ×1.008 | 7.24% |
| Triples /BIP | 0.00% | ÷0.951 | ×0.600 | ×0.950 | ×1.008 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.956 | ×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): HR 91, 1B 110, 2B 116, 3B 90, K 101, BB 99 — 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 ×0.950.
Result: wOBA .340 → .211; ISO .101 → .055; BABIP .386 → .228. 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).