Iverson Leonardo
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2021 | 19 | ROKFCL Tigers We… | 165 | .224/.370/.418 | 5 | 5 | 45 | — | .145/.248/.269 |
| 2022 | 20 | A/ROKDET | 174 | .230/.316/.388 | 5 | 6 | 37 | — | .165/.228/.265 |
| 2023 | 21 | ROKDET | 127 | .265/.433/.408 | 1 | 2 | 46 | — | .150/.283/.234 |
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) | |||||||||||||||||||||||||||||||
| 2018 | 16 | ROK | DSL Tigers 2 | — | 240 | 195 | 46 | 8 | 7 | 1 | 31 | 59 | 11 | 7 | 8 | 236 | 371 | 364 | 735 | 128 | 328 | 25 | 13 | 335 | 39 | — | — | — | — | — | — |
| 2019 | 17 | ROK | DSL Tigers 2 | — | 238 | 198 | 66 | 15 | 11 | 3 | 30 | 44 | 5 | 10 | 14 | 333 | 433 | 566 | 999 | 232 | 404 | 18 | 13 | 426 | 70 | — | — | — | — | — | — |
| 2021 | 19 | ROK | FCL Tigers West | — | 165 | 134 | 30 | 7 | 2 | 5 | 24 | 48 | 7 | 5 | 2 | 224 | 370 | 418 | 788 | 194 | 309 | 29 | 15 | 358 | 45 | — | — | — | — | — | — |
| 2022 | 20 | A | Lakeland Flying Tigers | — | 52 | 43 | 8 | 1 | 1 | 0 | 5 | 9 | 2 | 2 | 0 | 186 | 300 | 256 | 556 | 70 | 222 | 17 | 10 | 256 | 35 | — | — | — | — | — | — |
| 2022 | 20 | ROK | FCL Tigers | — | 122 | 109 | 27 | 6 | 0 | 5 | 11 | 28 | 1 | 4 | 2 | 248 | 322 | 440 | 763 | 193 | 286 | 23 | 9 | 336 | 38 | — | — | — | — | — | — |
| 2023 | 21 | ROK | FCL Tigers | — | 127 | 98 | 26 | 11 | 0 | 1 | 24 | 43 | 5 | 2 | 2 | 265 | 433 | 408 | 841 | 143 | 463 | 34 | 19 | 388 | 46 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2018 | 16 | ROK MLE | DSL Tigers 2 | — | 240 | 204 | 30 | 5 | 4 | 0 | 22 | 72 | 11 | 7 | 8 | 147 | 266 | 211 | 477 | 64 | 219 | 30 | 9 | 226 | 39 | — | — | — | — | — | — |
| 2019 | 17 | ROK MLE | DSL Tigers 2 | — | 238 | 207 | 42 | 9 | 7 | 1 | 21 | 54 | 5 | 10 | 14 | 203 | 292 | 329 | 620 | 126 | 248 | 23 | 9 | 272 | 70 | — | — | — | — | — | — |
| 2021 | 19 | ROK MLE | FCL Tigers West | — | 165 | 145 | 21 | 4 | 1 | 4 | 13 | 68 | 7 | 5 | 2 | 145 | 248 | 269 | 517 | 124 | 236 | 41 | 8 | 235 | 45 | — | — | — | — | — | — |
| 2022 | 20 | A MLE | Lakeland Flying Tigers | — | 52 | 45 | 8 | 1 | 1 | 0 | 3 | 12 | 2 | 2 | 0 | 178 | 260 | 244 | 504 | 67 | 203 | 23 | 6 | 220 | 35 | — | — | — | — | — | — |
| 2022 | 20 | ROK MLE | FCL Tigers | — | 122 | 113 | 18 | 4 | 0 | 3 | 7 | 41 | 1 | 4 | 2 | 159 | 215 | 274 | 489 | 115 | 215 | 34 | 6 | 224 | 38 | — | — | — | — | — | — |
| 2023 | 21 | ROK MLE | FCL Tigers | — | 127 | 107 | 16 | 6 | 0 | 1 | 15 | 64 | 5 | 2 | 2 | 150 | 283 | 234 | 517 | 84 | 350 | 50 | 12 | 236 | 46 | — | — | — | — | — | — |
| 2018 | 16 | ROK MLE | DSL Tigers 2 | — | 240 | 204 | 30 | 5 | 4 | 0 | 22 | 72 | 11 | 7 | 8 | 147 | 266 | 211 | 477 | 64 | 224 | 30 | 9 | 226 | 39 | — | — | — | — | — | — |
| 2018 | 16 | ROK RAW | DSL Tigers 2 | — | 240 | 195 | 46 | 8 | 7 | 1 | 31 | 59 | 11 | 7 | 8 | 236 | 371 | 364 | 735 | 128 | 328 | 25 | 13 | 335 | 39 | — | — | — | — | — | — |
| 2019 | 17 | ROK MLE | DSL Tigers 2 | — | 238 | 207 | 42 | 9 | 7 | 1 | 21 | 54 | 5 | 10 | 14 | 203 | 292 | 329 | 620 | 126 | 261 | 23 | 9 | 272 | 70 | — | — | — | — | — | — |
| 2019 | 17 | ROK RAW | DSL Tigers 2 | — | 238 | 198 | 66 | 15 | 11 | 3 | 30 | 44 | 5 | 10 | 14 | 333 | 433 | 566 | 999 | 232 | 404 | 18 | 13 | 426 | 70 | — | — | — | — | — | — |
| 2021 | 19 | ROK MLE | FCL Tigers West | — | 165 | 145 | 21 | 4 | 1 | 4 | 13 | 68 | 7 | 5 | 2 | 145 | 248 | 269 | 517 | 124 | 233 | 41 | 8 | 235 | 45 | — | — | — | — | — | — |
| 2021 | 19 | ROK RAW | FCL Tigers West | — | 165 | 134 | 30 | 7 | 2 | 5 | 24 | 48 | 7 | 5 | 2 | 224 | 370 | 418 | 788 | 194 | 309 | 29 | 15 | 358 | 45 | — | — | — | — | — | — |
| 2022 | 20 | ROK MLE | 2 teams | — | 174 | 158 | 26 | 5 | 1 | 3 | 10 | 54 | 3 | 6 | 2 | 165 | 228 | 266 | 494 | 101 | 221 | 31 | 6 | 223 | 37 | — | — | — | — | — | — |
| 2022 | 20 | ROK RAW | 2 teams | — | 174 | 152 | 35 | 7 | 1 | 5 | 16 | 37 | 3 | 6 | 2 | 230 | 316 | 388 | 704 | 158 | 265 | 21 | 9 | 312 | 37 | — | — | — | — | — | — |
| 2023 | 21 | ROK MLE | FCL Tigers | — | 127 | 107 | 16 | 6 | 0 | 1 | 15 | 64 | 5 | 2 | 2 | 150 | 283 | 234 | 517 | 84 | 357 | 50 | 12 | 236 | 46 | — | — | — | — | — | — |
| 2023 | 21 | ROK RAW | FCL Tigers | — | 127 | 98 | 26 | 11 | 0 | 1 | 24 | 43 | 5 | 2 | 2 | 265 | 433 | 408 | 841 | 143 | 463 | 34 | 19 | 388 | 46 | — | — | — | — | — | — |
| 2018 | 16 | ROK MLE | DSL Tigers 2 | — | 240 | 205 | 30 | 5 | 4 | 0 | 22 | 72 | 11 | 7 | 8 | 146 | 266 | 210 | 476 | 63 | 219 | 30 | 9 | 226 | 39 | — | — | — | — | — | — |
| 2019 | 17 | ROK MLE | DSL Tigers 2 | — | 238 | 210 | 42 | 9 | 7 | 1 | 21 | 54 | 5 | 10 | 14 | 200 | 292 | 324 | 616 | 124 | 248 | 23 | 9 | 272 | 70 | — | — | — | — | — | — |
| 2021 | 19 | ROK MLE | FCL Tigers West | — | 165 | 144 | 21 | 4 | 1 | 4 | 13 | 68 | 7 | 5 | 2 | 146 | 248 | 271 | 519 | 125 | 236 | 41 | 8 | 235 | 45 | — | — | — | — | — | — |
| 2022 | 20 | ROK MLE | 2 teams | — | 174 | 159 | 26 | 5 | 1 | 3 | 10 | 54 | 3 | 6 | 2 | 164 | 228 | 264 | 492 | 101 | 211 | 31 | 6 | 223 | 37 | — | — | — | — | — | — |
| 2023 | 21 | ROK MLE | FCL Tigers | — | 127 | 106 | 16 | 6 | 0 | 1 | 15 | 64 | 5 | 2 | 2 | 151 | 283 | 236 | 519 | 85 | 350 | 50 | 12 | 236 | 46 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 944 | 821 | 135 | 29 | 13 | 9 | 81 | 312 | 31 | 30 | 28 | 164 | 265 | 264 | 529 | 100 | 247 | 33 | 9 | 240 | 49 | -58 | -5 | +0 | -6 | +20 | -4.9 | |
| / 162G | — | MLE | — | 650 | 565 | 93 | 20 | 9 | 6 | 56 | 215 | 21 | 21 | 19 | 165 | 265 | 264 | 529 | 99 | 248 | 33 | 9 | 240 | 49 | -40 | -3 | +0 | -4 | +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.
2023 ROKFCL Tigers · 127 PAwOBA .379 → .236 (−143)K% 33.9% → 50.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 33.86% | ÷0.972 | ×1.440 | — | — | 50.16% |
| BB% (unintentional) /PA | 18.90% | ÷0.987 | ×0.620 | — | ×0.975 | 11.57% |
| HBP% /PA | 3.94% | — | ×0.720 | — | ×0.975 | 2.76% |
| Singles /BIP | 25.45% | ÷0.987 | ×0.820 | — | ×0.975 | 20.61% |
| Doubles /BIP | 20.00% | ÷1.014 | ×0.720 | — | ×0.975 | 13.85% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.720 | — | ×0.975 | 0.00% |
| Home runs /BIP | 1.82% | ÷0.924 | ×0.780 | — | ×0.975 | 1.50% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 97, 2B 103, 3B 130, K 94, BB 97 — 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 .379 → .236; ISO .143 → .084; BABIP .463 → .350. 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 ROKFCL Tigers · 122 PAwOBA .330 → .224 (−106)K% 23.0% → 34.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.95% | ÷0.973 | ×1.440 | — | — | 33.96% |
| BB% (unintentional) /PA | 9.02% | ÷0.978 | ×0.620 | — | ×0.985 | 5.63% |
| HBP% /PA | 0.82% | — | ×0.720 | — | ×0.985 | 0.58% |
| Singles /BIP | 19.75% | ÷1.018 | ×0.820 | ×0.978 | ×0.985 | 15.33% |
| Doubles /BIP | 7.41% | ÷0.941 | ×0.720 | ×0.978 | ×0.985 | 5.46% |
| Triples /BIP | 0.00% | ÷0.990 | ×0.720 | ×0.978 | ×0.985 | 0.00% |
| Home runs /BIP | 6.17% | ÷0.990 | ×0.780 | — | ×0.985 | 4.79% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 98, 1B 104, 2B 88, 3B 98, K 95, BB 96 — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.978.
Result: wOBA .330 → .224; ISO .193 → .133; BABIP .286 → .215. 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 ALakeland Flying Tigers · 52 PAwOBA .260 → .220 (−39)K% 17.3% → 24.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.31% | ÷0.982 | ×1.360 | — | — | 23.97% |
| BB% (unintentional) /PA | 9.62% | ÷0.998 | ×0.690 | — | ×1.015 | 6.75% |
| HBP% /PA | 3.85% | — | ×0.780 | — | ×1.015 | 3.04% |
| Singles /BIP | 17.65% | ÷1.009 | ×0.920 | — | ×1.015 | 16.34% |
| Doubles /BIP | 2.94% | ÷0.974 | ×0.830 | — | ×1.015 | 2.54% |
| Triples /BIP | 2.94% | ÷1.039 | ×0.910 | — | ×1.015 | 2.62% |
| Home runs /BIP | 0.00% | ÷1.279 | ×0.800 | — | ×1.015 | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 156, 1B 102, 2B 95, 3B 108, K 96, 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).
Result: wOBA .260 → .220; ISO .070 → .062; BABIP .222 → .203. 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 ROKFCL Tigers West · 165 PAwOBA .347 → .235 (−111)K% 29.1% → 41.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.09% | ÷1.010 | ×1.440 | — | — | 41.47% |
| BB% (unintentional) /PA | 13.94% | ÷1.066 | ×0.620 | — | ×0.995 | 8.07% |
| HBP% /PA | 4.24% | — | ×0.720 | — | ×0.995 | 3.04% |
| Singles /BIP | 18.60% | ÷0.984 | ×0.820 | ×0.982 | ×0.995 | 15.15% |
| Doubles /BIP | 8.14% | ÷1.027 | ×0.720 | ×0.982 | ×0.995 | 5.58% |
| Triples /BIP | 2.33% | ÷0.949 | ×0.720 | ×0.982 | ×0.995 | 1.72% |
| Home runs /BIP | 5.81% | ÷0.906 | ×0.780 | — | ×0.995 | 4.98% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 81, 1B 97, 2B 105, 3B 90, K 102, BB 113 — 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 ×0.982.
Result: wOBA .347 → .235; ISO .194 → .140; BABIP .309 → .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 DSLDSL Tigers 2 · 238 PAwOBA .424 → .272 (−152)K% 18.5% → 22.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.49% | ÷1.000 | ×1.220 | — | — | 22.55% |
| BB% (unintentional) /PA | 12.61% | ÷1.000 | ×0.700 | — | ×1.008 | 8.89% |
| HBP% /PA | 2.10% | — | ×0.700 | — | ×1.008 | 1.48% |
| Singles /BIP | 24.03% | ÷1.000 | ×0.680 | ×0.950 | ×1.008 | 15.64% |
| Doubles /BIP | 9.74% | ÷1.000 | ×0.600 | ×0.950 | ×1.008 | 5.59% |
| Triples /BIP | 7.14% | ÷1.000 | ×0.600 | ×0.950 | ×1.008 | 4.10% |
| Home runs /BIP | 1.95% | ÷1.000 | ×0.470 | — | ×1.008 | 0.92% |
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 ×0.950.
Result: wOBA .424 → .272; ISO .232 → .134; BABIP .404 → .248. 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 DSLDSL Tigers 2 · 240 PAwOBA .331 → .226 (−105)K% 24.6% → 30.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.58% | ÷1.000 | ×1.220 | — | — | 29.99% |
| BB% (unintentional) /PA | 12.92% | ÷1.000 | ×0.700 | — | ×1.022 | 9.25% |
| HBP% /PA | 4.58% | — | ×0.700 | — | ×1.022 | 3.28% |
| Singles /BIP | 22.06% | ÷1.000 | ×0.680 | ×1.002 | ×1.022 | 15.37% |
| Doubles /BIP | 5.88% | ÷1.000 | ×0.600 | ×1.002 | ×1.022 | 3.62% |
| Triples /BIP | 5.15% | ÷1.000 | ×0.600 | ×1.002 | ×1.022 | 3.16% |
| Home runs /BIP | 0.74% | ÷1.000 | ×0.470 | — | ×1.022 | 0.35% |
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 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.002.
Result: wOBA .331 → .226; ISO .128 → .078; BABIP .328 → .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).