Michael Papierski
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2022 | 26 | AAACIN | 222 | .232/.333/.363 | 6 | 0 | 54 | — | .191/.265/.266 | |
| 2022 | 26 | MLBCIN | 103 | .143/.228/.187 | 1 | 0 | 17 | -0.5 | ||
| 2023 | 27 | AAA/INTL2 orgs | 378 | .251/.383/.414 | 10 | 2 | 90 | — | .222/.302/.333 | |
| 2024 | 28 | AAASEA | 336 | .242/.364/.372 | 6 | 1 | 65 | — | .201/.291/.294 | |
| 2025 | 29 | No MLB games played | ||||||||
| 2026 | 30 | No MLB games played | ||||||||
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) | |||||||||||||||||||||||||||||||
| 2018 | 22 | A | Quad Cities River Bandits | — | 369 | 297 | 55 | 12 | 0 | 5 | 64 | 69 | 8 | 4 | 1 | 185 | 344 | 276 | 620 | 91 | 224 | 19 | 17 | 300 | 42 | — | — | — | — | — | — |
| 2019 | 23 | A+ | Fayetteville Woodpeckers | — | 446 | 374 | 87 | 11 | 1 | 7 | 61 | 101 | 8 | 2 | 7 | 233 | 352 | 324 | 676 | 91 | 299 | 23 | 14 | 315 | 42 | — | — | — | — | — | — |
| 2021 | 25 | AAA | Sugar Land Skeeters | — | 410 | 333 | 82 | 18 | 2 | 7 | 64 | 85 | 9 | 1 | 5 | 246 | 382 | 375 | 757 | 129 | 307 | 21 | 16 | 346 | 83 | — | — | — | — | — | — |
| 2022 | 26 | MLB | Cincinnati Reds | — | 103 | 91 | 13 | 1 | 0 | 1 | 10 | 26 | 0 | 0 | 0 | 143 | 228 | 187 | 415 | 44 | 188 | 25 | 10 | 197 | 17 | -10 | +0 | -3 | +6 | +2 | -0.5 |
| 2022 | 26 | AAA | Louisville Bats | — | 222 | 190 | 44 | 7 | 0 | 6 | 26 | 39 | 3 | 0 | 0 | 232 | 333 | 363 | 696 | 132 | 257 | 18 | 12 | 315 | 54 | — | — | — | — | — | — |
| 2023 | 27 | AAA | Toledo Mud Hens | — | 305 | 256 | 68 | 14 | 1 | 8 | 42 | 65 | 3 | 0 | 0 | 266 | 375 | 422 | 797 | 156 | 321 | 21 | 14 | 356 | 80 | — | — | — | — | — | — |
| 2023 | 27 | INTL | Leones del Escogido | — | 73 | 51 | 9 | 2 | 1 | 2 | 20 | 14 | 1 | 2 | 1 | 176 | 417 | 373 | 789 | 196 | 200 | 19 | 27 | 365 | 133 | — | — | — | — | — | — |
| 2024 | 28 | AAA | Tacoma Rainiers | — | 336 | 277 | 67 | 18 | 0 | 6 | 49 | 67 | 4 | 1 | 0 | 242 | 364 | 372 | 735 | 130 | 292 | 20 | 15 | 332 | 65 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 103 | 91 | 13 | 1 | 0 | 1 | 10 | 26 | 0 | 0 | 0 | 143 | 228 | 187 | 415 | 44 | 188 | 25 | 10 | 197 | 20 | -10 | +0 | -3 | +6 | +2 | -0.5 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2018 | 22 | A MLE | Quad Cities River Bandits | — | 369 | 315 | 47 | 9 | 0 | 4 | 46 | 96 | 8 | 4 | 1 | 149 | 274 | 216 | 490 | 67 | 200 | 26 | 12 | 231 | 42 | — | — | — | — | — | — |
| 2019 | 23 | A+ MLE | Fayetteville Woodpeckers | — | 446 | 397 | 70 | 8 | 1 | 6 | 38 | 146 | 8 | 2 | 7 | 176 | 262 | 247 | 509 | 71 | 252 | 33 | 9 | 230 | 42 | — | — | — | — | — | — |
| 2021 | 25 | AAA MLE | Sugar Land Skeeters | — | 410 | 350 | 77 | 17 | 2 | 6 | 47 | 102 | 9 | 1 | 5 | 220 | 328 | 331 | 659 | 111 | 280 | 25 | 11 | 291 | 83 | — | — | — | — | — | — |
| 2022 | 26 | MLB MLE | Cincinnati Reds | — | 103 | 91 | 13 | 1 | 0 | 1 | 10 | 26 | 0 | 0 | 0 | 143 | 228 | 187 | 415 | 44 | 188 | 25 | 10 | 193 | 17 | -10 | +0 | -3 | +6 | +2 | -0.5 |
| 2022 | 26 | AAA MLE | Louisville Bats | — | 222 | 199 | 38 | 6 | 0 | 3 | 17 | 49 | 3 | 0 | 0 | 191 | 265 | 266 | 531 | 75 | 232 | 22 | 8 | 248 | 54 | — | — | — | — | — | — |
| 2023 | 27 | AAA MLE | Toledo Mud Hens | — | 305 | 270 | 60 | 10 | 1 | 6 | 28 | 78 | 3 | 0 | 0 | 222 | 302 | 333 | 636 | 111 | 280 | 26 | 9 | 287 | 80 | — | — | — | — | — | — |
| 2024 | 28 | AAA MLE | Tacoma Rainiers | — | 336 | 293 | 59 | 15 | 0 | 4 | 33 | 80 | 4 | 1 | 0 | 201 | 291 | 294 | 584 | 92 | 252 | 24 | 10 | 264 | 65 | — | — | — | — | — | — |
| 2018 | 22 | A MLE | Quad Cities River Bandits | — | 369 | 315 | 47 | 9 | 0 | 4 | 46 | 96 | 8 | 4 | 1 | 149 | 274 | 216 | 490 | 67 | 200 | 26 | 12 | 231 | 42 | — | — | — | — | — | — |
| 2018 | 22 | A RAW | Quad Cities River Bandits | — | 369 | 297 | 55 | 12 | 0 | 5 | 64 | 69 | 8 | 4 | 1 | 185 | 344 | 276 | 620 | 91 | 224 | 19 | 17 | 300 | 42 | — | — | — | — | — | — |
| 2019 | 23 | A+ MLE | Fayetteville Woodpeckers | — | 446 | 397 | 70 | 8 | 1 | 6 | 38 | 146 | 8 | 2 | 7 | 176 | 262 | 247 | 509 | 71 | 259 | 33 | 9 | 230 | 42 | — | — | — | — | — | — |
| 2019 | 23 | A+ RAW | Fayetteville Woodpeckers | — | 446 | 374 | 87 | 11 | 1 | 7 | 61 | 101 | 8 | 2 | 7 | 233 | 352 | 324 | 676 | 91 | 299 | 23 | 14 | 315 | 42 | — | — | — | — | — | — |
| 2021 | 25 | AAA MLE | Sugar Land Skeeters | — | 410 | 350 | 77 | 17 | 2 | 6 | 47 | 102 | 9 | 1 | 5 | 220 | 328 | 331 | 659 | 111 | 290 | 25 | 11 | 291 | 83 | — | — | — | — | — | — |
| 2021 | 25 | AAA RAW | Sugar Land Skeeters | — | 410 | 333 | 82 | 18 | 2 | 7 | 64 | 85 | 9 | 1 | 5 | 246 | 382 | 375 | 757 | 129 | 307 | 21 | 16 | 346 | 83 | — | — | — | — | — | — |
| 2022 | 26 | AAA MLE | 2 teams | — | 325 | 290 | 51 | 7 | 0 | 4 | 27 | 75 | 3 | 0 | 0 | 176 | 253 | 241 | 495 | 66 | 220 | 23 | 8 | 231 | 42 | — | — | — | — | — | — |
| 2022 | 26 | AAA RAW | 2 teams | — | 325 | 281 | 57 | 8 | 0 | 7 | 36 | 65 | 3 | 0 | 0 | 203 | 300 | 306 | 606 | 103 | 236 | 20 | 11 | 277 | 42 | — | — | — | — | — | — |
| 2023 | 27 | AAA MLE | 2 teams | — | 378 | 334 | 75 | 12 | 1 | 8 | 35 | 97 | 4 | 2 | 1 | 225 | 306 | 338 | 644 | 114 | 288 | 26 | 9 | 287 | 80 | — | — | — | — | — | — |
| 2023 | 27 | AAA RAW | 2 teams | — | 378 | 307 | 77 | 16 | 2 | 10 | 62 | 79 | 4 | 2 | 1 | 251 | 383 | 414 | 797 | 163 | 302 | 21 | 16 | 357 | 80 | — | — | — | — | — | — |
| 2024 | 28 | AAA MLE | Tacoma Rainiers | — | 336 | 293 | 59 | 15 | 0 | 4 | 33 | 80 | 4 | 1 | 0 | 201 | 291 | 294 | 584 | 92 | 257 | 24 | 10 | 264 | 65 | — | — | — | — | — | — |
| 2024 | 28 | AAA RAW | Tacoma Rainiers | — | 336 | 277 | 67 | 18 | 0 | 6 | 49 | 67 | 4 | 1 | 0 | 242 | 364 | 372 | 735 | 130 | 292 | 20 | 15 | 332 | 65 | — | — | — | — | — | — |
| 2018 | 22 | A MLE | Quad Cities River Bandits | — | 369 | 312 | 47 | 9 | 0 | 4 | 46 | 96 | 8 | 4 | 1 | 151 | 274 | 218 | 492 | 67 | 200 | 26 | 12 | 231 | 42 | — | — | — | — | — | — |
| 2019 | 23 | A+ MLE | Fayetteville Woodpeckers | — | 446 | 397 | 70 | 8 | 1 | 6 | 38 | 146 | 8 | 2 | 7 | 176 | 262 | 247 | 509 | 71 | 252 | 33 | 9 | 230 | 42 | — | — | — | — | — | — |
| 2021 | 25 | AAA MLE | Sugar Land Skeeters | — | 410 | 351 | 77 | 17 | 2 | 6 | 47 | 102 | 9 | 1 | 5 | 219 | 328 | 330 | 658 | 111 | 280 | 25 | 11 | 291 | 83 | — | — | — | — | — | — |
| 2022 | 26 | AAA MLE | 2 teams | — | 325 | 292 | 51 | 7 | 0 | 4 | 27 | 75 | 3 | 0 | 0 | 175 | 253 | 240 | 493 | 65 | 218 | 23 | 8 | 231 | 42 | — | — | — | — | — | — |
| 2023 | 27 | AAA MLE | 2 teams | — | 378 | 336 | 75 | 12 | 1 | 8 | 35 | 97 | 4 | 2 | 1 | 223 | 306 | 336 | 642 | 113 | 280 | 26 | 9 | 287 | 80 | — | — | — | — | — | — |
| 2024 | 28 | AAA MLE | Tacoma Rainiers | — | 336 | 296 | 59 | 15 | 0 | 4 | 33 | 80 | 4 | 1 | 0 | 199 | 291 | 291 | 581 | 91 | 252 | 24 | 10 | 264 | 65 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 28 | AAA MLE | Tacoma Rainiers | — | 336 | 296 | 59 | 15 | 0 | 4 | 33 | 80 | 4 | 1 | 0 | 199 | 291 | 291 | 581 | 91 | 252 | 24 | 10 | 264 | 65 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 103 | 91 | 13 | 1 | 0 | 1 | 10 | 26 | 0 | 0 | 0 | 143 | 228 | 187 | 415 | 44 | 188 | 25 | 10 | 197 | 59 | -10 | +0 | -3 | +6 | +2 | -0.5 | |
| / 162G | — | A+C | — | 650 | 574 | 81 | 6 | 0 | 6 | 63 | 164 | 0 | 0 | 0 | 141 | 226 | 183 | 409 | 42 | 186 | 25 | 10 | 197 | 59 | -62 | +0 | -17 | +37 | +14 | -2.9 | |
| Career | — | MLE | — | 2264 | 1979 | 379 | 68 | 4 | 32 | 226 | 596 | 36 | 10 | 14 | 192 | 286 | 278 | 564 | 87 | 254 | 26 | 10 | 256 | 59 | -10 | +0 | -3 | +6 | +2 | -0.5 | |
| / 162G | — | MLE | — | 650 | 568 | 109 | 20 | 1 | 9 | 65 | 171 | 10 | 3 | 4 | 192 | 286 | 278 | 564 | 86 | 254 | 26 | 10 | 256 | 59 | -62 | +0 | -17 | +37 | +14 | -2.9 | |
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 AAATacoma Rainiers · 336 PAwOBA .329 → .264 (−65)K% 19.9% → 23.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.94% | ÷1.004 | ×1.200 | — | — | 23.84% |
| BB% (unintentional) /PA | 14.58% | ÷1.011 | ×0.690 | — | ×0.992 | 9.88% |
| HBP% /PA | 1.19% | — | ×0.940 | — | ×0.992 | 1.11% |
| Singles /BIP | 20.48% | ÷1.010 | ×0.930 | ×0.986 | ×0.992 | 18.44% |
| Doubles /BIP | 8.57% | ÷1.014 | ×0.830 | ×0.986 | ×0.992 | 6.86% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.970 | ×0.986 | ×0.992 | 0.00% |
| Home runs /BIP | 2.86% | ÷1.142 | ×0.700 | — | ×0.992 | 1.74% |
Factors used: league row International League. Park (home-season share, regressed): HR 128, 1B 102, 2B 103, 3B 80, K 101, BB 102 — 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 ×0.986.
Result: wOBA .329 → .264; ISO .130 → .095; BABIP .292 → .252. 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 AAAToledo Mud Hens · 305 PAwOBA .350 → .287 (−63)K% 21.3% → 25.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.31% | ÷0.995 | ×1.200 | — | — | 25.70% |
| BB% (unintentional) /PA | 13.44% | ÷1.006 | ×0.690 | — | ×1.003 | 9.25% |
| HBP% /PA | 0.98% | — | ×0.940 | — | ×1.003 | 0.93% |
| Singles /BIP | 23.56% | ÷0.965 | ×0.930 | ×0.970 | ×1.003 | 22.09% |
| Doubles /BIP | 7.33% | ÷1.156 | ×0.830 | ×0.970 | ×1.003 | 5.12% |
| Triples /BIP | 0.52% | ÷1.150 | ×0.970 | ×0.970 | ×1.003 | 0.43% |
| Home runs /BIP | 4.19% | ÷0.901 | ×0.700 | — | ×1.003 | 3.26% |
Factors used: league row International League. Park (home-season share, regressed): HR 80, 1B 93, 2B 131, 3B 130, K 99, BB 101 — 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 ×0.970.
Result: wOBA .350 → .287; ISO .156 → .120; BABIP .321 → .280. 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 AAALouisville Bats · 222 PAwOBA .309 → .248 (−61)K% 17.6% → 22.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.57% | ÷0.958 | ×1.200 | — | — | 22.02% |
| BB% (unintentional) /PA | 11.26% | ÷1.023 | ×0.690 | — | ×1.018 | 7.73% |
| HBP% /PA | 1.35% | — | ×0.940 | — | ×1.018 | 1.29% |
| Singles /BIP | 20.53% | ÷0.996 | ×0.930 | ×0.979 | ×1.018 | 19.11% |
| Doubles /BIP | 4.64% | ÷0.955 | ×0.830 | ×0.979 | ×1.018 | 4.02% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.970 | ×0.979 | ×1.018 | 0.00% |
| Home runs /BIP | 3.97% | ÷1.282 | ×0.700 | — | ×1.018 | 2.21% |
Factors used: league row International League. Park (home-season share, regressed): HR 156, 1B 99, 2B 91, 3B 80, K 92, BB 105 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.979.
Result: wOBA .309 → .248; ISO .132 → .086; BABIP .257 → .232. 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 AAASugar Land Skeeters · 410 PAwOBA .341 → .291 (−49)K% 20.7% → 24.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.73% | ÷1.002 | ×1.200 | — | — | 24.84% |
| BB% (unintentional) /PA | 15.61% | ÷0.975 | ×0.690 | — | ×1.033 | 11.41% |
| HBP% /PA | 2.20% | — | ×0.940 | — | ×1.033 | 2.13% |
| Singles /BIP | 22.18% | ÷1.023 | ×0.930 | ×0.984 | ×1.033 | 20.48% |
| Doubles /BIP | 7.26% | ÷0.923 | ×0.830 | ×0.984 | ×1.033 | 6.63% |
| Triples /BIP | 0.81% | ÷1.150 | ×0.920 | ×0.984 | ×1.033 | 0.66% |
| Home runs /BIP | 2.82% | ÷0.935 | ×0.700 | — | ×1.033 | 2.18% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 87, 1B 105, 2B 85, 3B 130, K 100, BB 95 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.984.
Result: wOBA .341 → .291; ISO .129 → .110; BABIP .307 → .280. 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 A+Fayetteville Woodpeckers · 446 PAwOBA .309 → .230 (−78)K% 22.6% → 32.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.65% | ÷0.983 | ×1.420 | — | — | 32.70% |
| BB% (unintentional) /PA | 13.68% | ÷1.000 | ×0.630 | — | ×0.998 | 8.60% |
| HBP% /PA | 1.79% | — | ×0.860 | — | ×0.998 | 1.54% |
| Singles /BIP | 24.91% | ÷1.029 | ×0.940 | ×0.950 | ×0.998 | 21.57% |
| Doubles /BIP | 4.03% | ÷1.068 | ×0.830 | ×0.950 | ×0.998 | 2.97% |
| Triples /BIP | 0.37% | ÷1.150 | ×0.800 | ×0.950 | ×0.998 | 0.24% |
| Home runs /BIP | 2.56% | ÷0.969 | ×0.900 | — | ×0.998 | 2.38% |
Factors used: league row CAR. Park (home-season share, regressed): HR 94, 1B 106, 2B 114, 3B 130, K 97, BB 100 — 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 ×0.950.
Result: wOBA .309 → .230; ISO .091 → .072; BABIP .299 → .252. 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 AQuad Cities River Bandits · 369 PAwOBA .294 → .231 (−62)K% 18.7% → 26.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.70% | ÷0.976 | ×1.360 | — | — | 26.07% |
| BB% (unintentional) /PA | 17.34% | ÷0.968 | ×0.690 | — | — | 12.37% |
| HBP% /PA | 2.17% | — | ×0.780 | — | — | 1.69% |
| Singles /BIP | 16.67% | ÷0.939 | ×0.920 | ×0.950 | — | 15.51% |
| Doubles /BIP | 5.26% | ÷1.012 | ×0.830 | ×0.950 | — | 4.10% |
| Triples /BIP | 0.00% | ÷0.973 | ×0.910 | ×0.950 | — | 0.00% |
| Home runs /BIP | 2.19% | ÷0.973 | ×0.800 | — | — | 1.80% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 95, 1B 88, 2B 102, 3B 95, K 95, BB 94 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .294 → .231; ISO .091 → .071; BABIP .224 → .200. 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 — .