Ryan Boldt
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2018 | 23 | AA/INTL2 orgs | 293 | .274/.352/.448 | 7 | 12 | 93 | — | .248/.304/.404 |
| 2021 | 26 | AAATB | 338 | .260/.339/.453 | 11 | 12 | 77 | — | .228/.286/.363 |
| 2022 | 27 | AAATB | 274 | .236/.300/.380 | 7 | 8 | 42 | — | .188/.238/.277 |
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) | |||||||||||||||||||||||||||||||
| 2017 | 22 | A+ | Charlotte Stone Crabs | — | 494 | 440 | 130 | 22 | 6 | 5 | 39 | 89 | 7 | 23 | 6 | 295 | 362 | 407 | 769 | 111 | 355 | 18 | 8 | 341 | 74 | — | — | — | — | — | — |
| 2018 | 23 | AA | Montgomery Biscuits | — | 273 | 241 | 66 | 12 | 6 | 7 | 24 | 58 | 5 | 12 | 2 | 274 | 352 | 461 | 812 | 187 | 330 | 21 | 9 | 356 | 93 | — | — | — | — | — | — |
| 2018 | 23 | INTL | Peoria Javelinas | — | 20 | 18 | 5 | 0 | 0 | 0 | 2 | 6 | 0 | 0 | 1 | 278 | 350 | 278 | 628 | 417 | 30 | 10 | 296 | 86 | — | — | — | — | — | — | |
| 2021 | 26 | AAA | Durham Bulls | — | 338 | 300 | 78 | 21 | 2 | 11 | 33 | 98 | 3 | 12 | 1 | 260 | 339 | 453 | 793 | 193 | 347 | 29 | 10 | 350 | 77 | — | — | — | — | — | — |
| 2022 | 27 | AAA | Durham Bulls | — | 274 | 250 | 59 | 13 | 1 | 7 | 18 | 78 | 5 | 8 | 2 | 236 | 300 | 380 | 680 | 144 | 313 | 28 | 7 | 305 | 42 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2017 | 22 | A+ MLE | Charlotte Stone Crabs | — | 494 | 449 | 109 | 20 | 5 | 5 | 30 | 124 | 7 | 23 | 6 | 243 | 300 | 343 | 643 | 100 | 308 | 25 | 6 | 278 | 74 | — | — | — | — | — | — |
| 2018 | 23 | AA MLE | Montgomery Biscuits | — | 273 | 250 | 62 | 11 | 5 | 6 | 15 | 67 | 5 | 12 | 2 | 248 | 304 | 404 | 708 | 156 | 305 | 25 | 5 | 306 | 93 | — | — | — | — | — | — |
| 2021 | 26 | AAA MLE | Durham Bulls | — | 338 | 311 | 71 | 17 | 2 | 7 | 22 | 114 | 3 | 12 | 1 | 228 | 286 | 363 | 649 | 135 | 326 | 34 | 7 | 282 | 77 | — | — | — | — | — | — |
| 2022 | 27 | AAA MLE | Durham Bulls | — | 274 | 256 | 48 | 9 | 1 | 4 | 12 | 94 | 5 | 8 | 2 | 188 | 238 | 277 | 515 | 90 | 274 | 34 | 4 | 231 | 42 | — | — | — | — | — | — |
| 2017 | 22 | A+ MLE | Charlotte Stone Crabs | — | 494 | 449 | 109 | 20 | 5 | 5 | 30 | 124 | 7 | 23 | 6 | 243 | 300 | 343 | 643 | 100 | 319 | 25 | 6 | 278 | 74 | — | — | — | — | — | — |
| 2017 | 22 | A+ RAW | Charlotte Stone Crabs | — | 494 | 440 | 130 | 22 | 6 | 5 | 39 | 89 | 7 | 23 | 6 | 295 | 362 | 407 | 769 | 111 | 355 | 18 | 8 | 341 | 74 | — | — | — | — | — | — |
| 2018 | 23 | AA MLE | 2 teams | — | 293 | 269 | 67 | 12 | 6 | 6 | 16 | 72 | 5 | 12 | 3 | 249 | 303 | 405 | 709 | 156 | 314 | 25 | 5 | 306 | 93 | — | — | — | — | — | — |
| 2018 | 23 | AA RAW | 2 teams | — | 293 | 259 | 71 | 12 | 6 | 7 | 26 | 64 | 5 | 12 | 3 | 274 | 352 | 448 | 800 | 174 | 335 | 22 | 9 | 352 | 93 | — | — | — | — | — | — |
| 2021 | 26 | AAA MLE | Durham Bulls | — | 338 | 311 | 71 | 17 | 2 | 7 | 22 | 114 | 3 | 12 | 1 | 228 | 286 | 363 | 649 | 135 | 333 | 34 | 7 | 282 | 77 | — | — | — | — | — | — |
| 2021 | 26 | AAA RAW | Durham Bulls | — | 338 | 300 | 78 | 21 | 2 | 11 | 33 | 98 | 3 | 12 | 1 | 260 | 339 | 453 | 793 | 193 | 347 | 29 | 10 | 350 | 77 | — | — | — | — | — | — |
| 2022 | 27 | AAA MLE | Durham Bulls | — | 274 | 256 | 48 | 9 | 1 | 4 | 12 | 94 | 5 | 8 | 2 | 188 | 238 | 277 | 515 | 90 | 277 | 34 | 4 | 231 | 42 | — | — | — | — | — | — |
| 2022 | 27 | AAA RAW | Durham Bulls | — | 274 | 250 | 59 | 13 | 1 | 7 | 18 | 78 | 5 | 8 | 2 | 236 | 300 | 380 | 680 | 144 | 313 | 28 | 7 | 305 | 42 | — | — | — | — | — | — |
| 2017 | 22 | A+ MLE | Charlotte Stone Crabs | — | 494 | 454 | 109 | 20 | 5 | 5 | 30 | 124 | 7 | 23 | 6 | 240 | 300 | 339 | 640 | 99 | 308 | 25 | 6 | 278 | 74 | — | — | — | — | — | — |
| 2018 | 23 | AA MLE | 2 teams | — | 293 | 270 | 67 | 12 | 6 | 6 | 16 | 72 | 5 | 12 | 3 | 248 | 303 | 404 | 707 | 156 | 305 | 25 | 5 | 306 | 93 | — | — | — | — | — | — |
| 2021 | 26 | AAA MLE | Durham Bulls | — | 338 | 310 | 71 | 17 | 2 | 7 | 22 | 114 | 3 | 12 | 1 | 229 | 286 | 365 | 650 | 135 | 326 | 34 | 7 | 282 | 77 | — | — | — | — | — | — |
| 2022 | 27 | AAA MLE | Durham Bulls | — | 274 | 255 | 48 | 9 | 1 | 4 | 12 | 94 | 5 | 8 | 2 | 188 | 238 | 278 | 517 | 90 | 274 | 34 | 4 | 231 | 42 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1399 | 1285 | 295 | 58 | 14 | 22 | 80 | 404 | 20 | 55 | 12 | 230 | 285 | 348 | 633 | 118 | 313 | 29 | 6 | 276 | 73 | -45 | +6 | +0 | +5 | +30 | -0.4 | |
| / 162G | — | MLE | — | 650 | 597 | 137 | 27 | 7 | 10 | 37 | 188 | 9 | 26 | 6 | 229 | 285 | 348 | 633 | 119 | 314 | 29 | 6 | 276 | 73 | -21 | +3 | +0 | +2 | +14 | -0.2 | |
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.
2022 AAADurham Bulls · 274 PAwOBA .298 → .231 (−67)K% 28.5% → 34.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.47% | ÷0.999 | ×1.200 | — | — | 34.20% |
| BB% (unintentional) /PA | 6.57% | ÷1.059 | ×0.690 | — | ×0.992 | 4.24% |
| HBP% /PA | 1.82% | — | ×0.940 | — | ×0.992 | 1.70% |
| Singles /BIP | 22.09% | ÷0.988 | ×0.930 | ×0.999 | ×0.992 | 20.61% |
| Doubles /BIP | 7.56% | ÷1.091 | ×0.830 | ×0.999 | ×0.992 | 5.70% |
| Triples /BIP | 0.58% | ÷1.150 | ×0.970 | ×0.999 | ×0.992 | 0.49% |
| Home runs /BIP | 4.07% | ÷1.034 | ×0.700 | — | ×0.992 | 2.73% |
Factors used: league row International League. Park (home-season share, regressed): HR 107, 1B 98, 2B 118, 3B 130, K 100, BB 112 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.
Result: wOBA .298 → .231; ISO .144 → .098; BABIP .313 → .274. 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 AAADurham Bulls · 338 PAwOBA .341 → .282 (−59)K% 29.0% → 33.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.99% | ÷1.029 | ×1.200 | — | — | 33.82% |
| BB% (unintentional) /PA | 9.47% | ÷1.016 | ×0.690 | — | ×1.003 | 6.45% |
| HBP% /PA | 0.89% | — | ×0.940 | — | ×1.003 | 0.84% |
| Singles /BIP | 21.78% | ÷0.945 | ×0.930 | ×1.045 | ×1.003 | 22.46% |
| Doubles /BIP | 10.40% | ÷1.067 | ×0.830 | ×1.045 | ×1.003 | 8.47% |
| Triples /BIP | 0.99% | ÷1.150 | ×0.920 | ×1.045 | ×1.003 | 0.83% |
| Home runs /BIP | 5.45% | ÷1.059 | ×0.700 | — | ×1.003 | 3.61% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 112, 1B 89, 2B 113, 3B 130, K 106, BB 103 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.045.
Result: wOBA .341 → .282; ISO .193 → .139; BABIP .347 → .326. 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 AAMontgomery Biscuits · 273 PAwOBA .349 → .306 (−43)K% 21.2% → 24.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.25% | ÷1.055 | ×1.220 | — | — | 24.56% |
| BB% (unintentional) /PA | 8.42% | ÷1.031 | ×0.680 | — | ×1.012 | 5.62% |
| HBP% /PA | 1.83% | — | ×0.840 | — | ×1.012 | 1.56% |
| Singles /BIP | 22.40% | ÷0.965 | ×0.920 | ×0.983 | ×1.012 | 21.27% |
| Doubles /BIP | 6.56% | ÷1.007 | ×0.910 | ×0.983 | ×1.012 | 5.90% |
| Triples /BIP | 3.28% | ÷1.010 | ×0.880 | ×0.983 | ×1.012 | 2.84% |
| Home runs /BIP | 3.83% | ÷0.984 | ×0.800 | — | ×1.012 | 3.15% |
Factors used: league row SL. Park (home-season share, regressed): HR 97, 1B 93, 2B 101, 3B 102, K 111, BB 106 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.983.
Result: wOBA .349 → .306; ISO .187 → .163; BABIP .330 → .305. 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 A+Charlotte Stone Crabs · 494 PAwOBA .336 → .278 (−58)K% 18.0% → 25.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.02% | ÷1.017 | ×1.420 | — | — | 25.16% |
| BB% (unintentional) /PA | 7.69% | ÷0.967 | ×0.750 | — | ×0.998 | 5.95% |
| HBP% /PA | 1.42% | — | ×0.930 | — | ×0.998 | 1.32% |
| Singles /BIP | 27.64% | ÷1.073 | ×0.920 | ×1.000 | ×0.998 | 23.64% |
| Doubles /BIP | 6.27% | ÷1.007 | ×0.960 | ×1.000 | ×0.998 | 5.96% |
| Triples /BIP | 1.71% | ÷1.024 | ×0.810 | ×1.000 | ×0.998 | 1.35% |
| Home runs /BIP | 1.42% | ÷0.917 | ×0.880 | — | ×0.998 | 1.36% |
Factors used: league row FSL. Park (home-season share, regressed): HR 83, 1B 115, 2B 102, 3B 105, K 103, BB 93 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.000.
Result: wOBA .336 → .278; ISO .111 → .097; BABIP .355 → .308. 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 — .