Yeniel Laboy
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2023 | 19 | A/ROK/INTL2 orgs | 294 | .210/.340/.280 | 2 | 6 | 47 | — | .197/.296/.260 |
| 2024 | 20 | A/ROK/INTL2 orgs | 214 | .199/.316/.221 | 0 | 2 | 22 | — | .170/.254/.193 |
| 2025 | 21 | INTLLeones de Pon… | 18 | .286/.444/.286 | 0 | 0 | 129 | — |
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) | |||||||||||||||||||||||||||||||
| 2022 | 18 | ROK | ACL Athletics | — | 36 | 32 | 5 | 0 | 0 | 0 | 4 | 10 | 0 | 2 | 0 | 156 | 250 | 156 | 406 | 227 | 28 | 11 | 203 | -22 | — | — | — | — | — | — | |
| 2023 | 19 | A | Stockton Ports | — | 200 | 169 | 33 | 6 | 0 | 2 | 26 | 47 | 4 | 3 | 0 | 195 | 317 | 266 | 583 | 71 | 258 | 24 | 13 | 278 | 40 | — | — | — | — | — | — |
| 2023 | 19 | ROK | ACL Athletics | — | 77 | 57 | 17 | 2 | 1 | 0 | 15 | 10 | 3 | 3 | 0 | 298 | 467 | 368 | 835 | 70 | 347 | 13 | 19 | 383 | 91 | — | — | — | — | — | — |
| 2023 | 19 | INTL | Leones de Ponce | — | 17 | 17 | 1 | 1 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 59 | 59 | 118 | 176 | 59 | 83 | 29 | 0 | 76 | -63 | — | — | — | — | — | — |
| 2024 | 20 | A | Stockton Ports | — | 74 | 65 | 9 | 1 | 0 | 0 | 8 | 18 | 1 | 1 | 0 | 138 | 243 | 154 | 397 | 15 | 191 | 24 | 11 | 201 | -5 | — | — | — | — | — | — |
| 2024 | 20 | ROK | ACL Athletics | — | 125 | 102 | 26 | 1 | 1 | 0 | 20 | 22 | 1 | 1 | 2 | 255 | 382 | 284 | 666 | 29 | 317 | 18 | 16 | 314 | 45 | — | — | — | — | — | — |
| 2024 | 20 | INTL | Leones de Ponce | — | 15 | 14 | 1 | 0 | 0 | 0 | 1 | 6 | 0 | 0 | 0 | 71 | 133 | 71 | 205 | 125 | 40 | 7 | 107 | -42 | — | — | — | — | — | — | |
| 2025 | 21 | INTL | Leones de Ponce | — | 18 | 14 | 4 | 0 | 0 | 0 | 3 | 2 | 1 | 0 | 1 | 286 | 444 | 286 | 730 | 333 | 11 | 17 | 358 | 129 | — | — | — | — | — | — | |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2022 | 18 | ROK MLE | ACL Athletics | — | 36 | 34 | 4 | 0 | 0 | 0 | 2 | 14 | 0 | 2 | 0 | 118 | 167 | 118 | 284 | 189 | 39 | 6 | 136 | -22 | — | — | — | — | — | — | |
| 2023 | 19 | A MLE | Stockton Ports | — | 200 | 177 | 31 | 5 | 0 | 2 | 18 | 64 | 4 | 3 | 0 | 175 | 266 | 237 | 504 | 62 | 257 | 32 | 9 | 228 | 40 | — | — | — | — | — | — |
| 2023 | 19 | ROK MLE | ACL Athletics | — | 77 | 63 | 16 | 2 | 1 | 0 | 9 | 14 | 3 | 3 | 0 | 254 | 373 | 317 | 691 | 63 | 293 | 18 | 12 | 303 | 91 | — | — | — | — | — | — |
| 2024 | 20 | A MLE | Stockton Ports | — | 74 | 67 | 8 | 1 | 0 | 0 | 6 | 24 | 1 | 1 | 0 | 119 | 203 | 134 | 337 | 15 | 188 | 32 | 8 | 161 | -5 | — | — | — | — | — | — |
| 2024 | 20 | ROK MLE | ACL Athletics | — | 125 | 110 | 22 | 1 | 1 | 0 | 12 | 32 | 1 | 1 | 2 | 200 | 285 | 227 | 512 | 27 | 262 | 26 | 10 | 235 | 45 | — | — | — | — | — | — |
| 2022 | 18 | ROK MLE | ACL Athletics | — | 36 | 34 | 4 | 0 | 0 | 0 | 2 | 14 | 0 | 2 | 0 | 118 | 167 | 118 | 284 | 200 | 39 | 6 | 136 | -22 | — | — | — | — | — | — | |
| 2022 | 18 | ROK RAW | ACL Athletics | — | 36 | 32 | 5 | 0 | 0 | 0 | 4 | 10 | 0 | 2 | 0 | 156 | 250 | 156 | 406 | 227 | 28 | 11 | 203 | -22 | — | — | — | — | — | — | |
| 2023 | 19 | A MLE | 3 teams | — | 294 | 255 | 50 | 7 | 1 | 2 | 29 | 83 | 7 | 6 | 0 | 196 | 296 | 255 | 550 | 59 | 279 | 28 | 10 | 249 | 55 | — | — | — | — | — | — |
| 2023 | 19 | A RAW | 3 teams | — | 294 | 243 | 51 | 9 | 1 | 2 | 41 | 62 | 7 | 6 | 0 | 210 | 340 | 280 | 620 | 70 | 271 | 21 | 14 | 294 | 55 | — | — | — | — | — | — |
| 2024 | 20 | ROK MLE | 3 teams | — | 214 | 191 | 32 | 2 | 1 | 0 | 19 | 60 | 2 | 2 | 2 | 168 | 250 | 188 | 438 | 21 | 241 | 28 | 9 | 207 | 27 | — | — | — | — | — | — |
| 2024 | 20 | ROK RAW | 3 teams | — | 214 | 181 | 36 | 2 | 1 | 0 | 29 | 46 | 2 | 2 | 2 | 199 | 316 | 221 | 537 | 22 | 263 | 21 | 14 | 261 | 27 | — | — | — | — | — | — |
| 2025 | 21 | INTL MLE | Leones de Ponce | — | 18 | 14 | 4 | 0 | 0 | 0 | 3 | 2 | 1 | 0 | 1 | 286 | 444 | 286 | 730 | 333 | 11 | 17 | — | — | — | — | — | — | — | — | |
| 2025 | 21 | INTL RAW | Leones de Ponce | — | 18 | 14 | 4 | 0 | 0 | 0 | 3 | 2 | 1 | 0 | 1 | 286 | 444 | 286 | 730 | 333 | 11 | 17 | 358 | 129 | — | — | — | — | — | — | |
| 2022 | 18 | ROK MLE | ACL Athletics | — | 36 | 34 | 4 | 0 | 0 | 0 | 2 | 14 | 0 | 2 | 0 | 118 | 167 | 118 | 284 | 189 | 39 | 6 | 136 | -22 | — | — | — | — | — | — | |
| 2023 | 19 | A MLE | 3 teams | — | 294 | 256 | 50 | 7 | 1 | 2 | 29 | 83 | 7 | 6 | 0 | 195 | 296 | 254 | 549 | 59 | 267 | 28 | 10 | 249 | 55 | — | — | — | — | — | — |
| 2024 | 20 | ROK MLE | 3 teams | — | 214 | 191 | 32 | 2 | 1 | 0 | 19 | 60 | 2 | 2 | 2 | 168 | 250 | 188 | 438 | 21 | 234 | 28 | 9 | 207 | 27 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 20 | ROK MLE | 3 teams | — | 214 | 191 | 32 | 2 | 1 | 0 | 19 | 60 | 2 | 2 | 2 | 168 | 250 | 188 | 438 | 21 | 234 | 28 | 9 | 207 | 27 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 562 | 494 | 90 | 9 | 2 | 2 | 53 | 159 | 10 | 10 | 3 | 182 | 275 | 221 | 495 | 38 | 261 | 28 | 9 | 218 | 34 | -44 | +1 | +0 | +2 | +12 | -3.0 | |
| / 162G | — | MLE | — | 650 | 571 | 103 | 10 | 2 | 2 | 61 | 184 | 12 | 12 | 3 | 180 | 273 | 215 | 489 | 35 | 259 | 28 | 9 | 218 | 34 | -51 | +1 | +0 | +2 | +14 | -3.4 | |
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.
2024 ROKACL Athletics · 125 PAwOBA .313 → .235 (−78)K% 17.6% → 25.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.60% | ÷0.998 | ×1.440 | — | — | 25.38% |
| BB% (unintentional) /PA | 16.00% | ÷0.986 | ×0.620 | — | ×0.995 | 10.01% |
| HBP% /PA | 0.80% | — | ×0.720 | — | ×0.995 | 0.57% |
| Singles /BIP | 30.00% | ÷1.027 | ×0.820 | ×1.050 | ×0.995 | 25.03% |
| Doubles /BIP | 1.25% | ÷1.124 | ×0.720 | ×1.050 | ×0.995 | 0.84% |
| Triples /BIP | 1.25% | ÷0.907 | ×0.720 | ×1.050 | ×0.995 | 1.04% |
| Home runs /BIP | 0.00% | ÷0.852 | ×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): HR 70, 1B 105, 2B 125, 3B 81, K 100, BB 97 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .313 → .235; ISO .029 → .023; BABIP .317 → .262. 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 AStockton Ports · 74 PAwOBA .196 → .161 (−35)K% 24.3% → 32.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.32% | ÷1.015 | ×1.360 | — | — | 32.58% |
| BB% (unintentional) /PA | 10.81% | ÷1.021 | ×0.690 | — | ×1.030 | 7.53% |
| HBP% /PA | 1.35% | — | ×0.780 | — | ×1.030 | 1.09% |
| Singles /BIP | 17.02% | ÷1.004 | ×0.920 | ×1.050 | ×1.030 | 16.87% |
| Doubles /BIP | 2.13% | ÷0.979 | ×0.830 | ×1.050 | ×1.030 | 1.95% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.910 | ×1.050 | ×1.030 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.164 | ×0.800 | — | ×1.030 | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 133, 1B 101, 2B 96, 3B 80, K 103, BB 104 — 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 ×1.050.
Result: wOBA .196 → .161; ISO .015 → .013; BABIP .191 → .188. 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 AStockton Ports · 200 PAwOBA .269 → .228 (−41)K% 23.5% → 32.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.50% | ÷0.996 | ×1.360 | — | — | 32.09% |
| BB% (unintentional) /PA | 12.50% | ÷1.004 | ×0.690 | — | ×1.045 | 8.98% |
| HBP% /PA | 2.00% | — | ×0.780 | — | ×1.045 | 1.63% |
| Singles /BIP | 20.49% | ÷0.979 | ×0.920 | ×1.041 | ×1.045 | 20.96% |
| Doubles /BIP | 4.92% | ÷1.026 | ×0.830 | ×1.041 | ×1.045 | 4.33% |
| Triples /BIP | 0.00% | ÷0.945 | ×0.910 | ×1.041 | ×1.045 | 0.00% |
| Home runs /BIP | 1.64% | ÷0.945 | ×0.800 | — | ×1.045 | 1.45% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 96, 2B 105, 3B 89, K 99, BB 101 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.041.
Result: wOBA .269 → .228; ISO .071 → .059; BABIP .258 → .257. 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 ROKACL Athletics · 77 PAwOBA .385 → .303 (−82)K% 13.0% → 18.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.99% | ÷1.018 | ×1.440 | — | — | 18.36% |
| BB% (unintentional) /PA | 19.48% | ÷1.030 | ×0.620 | — | ×1.008 | 11.82% |
| HBP% /PA | 3.90% | — | ×0.720 | — | ×1.008 | 2.83% |
| Singles /BIP | 29.79% | ÷0.974 | ×0.820 | ×1.032 | ×1.008 | 26.05% |
| Doubles /BIP | 4.26% | ÷1.051 | ×0.720 | ×1.032 | ×1.008 | 3.03% |
| Triples /BIP | 2.13% | ÷1.149 | ×0.720 | ×1.032 | ×1.008 | 1.39% |
| Home runs /BIP | 0.00% | ÷0.989 | ×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): HR 98, 1B 95, 2B 110, 3B 130, K 104, BB 106 — 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 ×1.032.
Result: wOBA .385 → .303; ISO .070 → .053; BABIP .347 → .293. 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 ROKACL Athletics · 36 PAwOBA .199 → .136 (−63)K% 27.8% → 40.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.78% | ÷0.997 | ×1.440 | — | — | 40.10% |
| BB% (unintentional) /PA | 11.11% | ÷1.017 | ×0.620 | — | ×1.022 | 6.93% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×1.022 | 0.00% |
| Singles /BIP | 22.73% | ÷1.007 | ×0.820 | — | ×1.022 | 18.93% |
| Doubles /BIP | 0.00% | ÷0.981 | ×0.720 | — | ×1.022 | 0.00% |
| Triples /BIP | 0.00% | ÷1.011 | ×0.720 | — | ×1.022 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.950 | ×0.780 | — | ×1.022 | 0.00% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 101, 2B 96, 3B 102, K 99, BB 103 — 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).
Result: wOBA .199 → .136; ISO .000 → .000; BABIP .227 → .189. 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).
Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .