Tucker Nathans
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2017 | 28 | AABowie Baysox | 91 | .284/.308/.420 | 3 | 1 | 48 | — | .213/.231/.303 |
| 2019 | 30 | INTLCanberra Cava… | 116 | .300/.391/.530 | 5 | 4 | 158 | — | |
| 2020 | 31 | INTLCanberra Cava… | 105 | .244/.381/.442 | 3 | 1 | 137 | — |
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) | |||||||||||||||||||||||||||||||
| 2013 | 24 | A+ | Frederick Keys | — | 177 | 159 | 44 | 8 | 1 | 1 | 16 | 34 | 0 | 5 | 2 | 277 | 343 | 358 | 701 | 82 | 344 | 19 | 9 | 316 | 59 | — | — | — | — | — | — |
| 2013 | 24 | A | Delmarva Shorebirds | — | 271 | 240 | 65 | 10 | 5 | 9 | 21 | 44 | 5 | 3 | 3 | 271 | 342 | 467 | 809 | 196 | 293 | 16 | 8 | 351 | 81 | — | — | — | — | — | — |
| 2013 | 24 | INTL | Perth Heat | — | 165 | 150 | 42 | 12 | 0 | 3 | 14 | 22 | 1 | 9 | 4 | 280 | 345 | 420 | 765 | 140 | 312 | 13 | 8 | 343 | 118 | — | — | — | — | — | — |
| 2014 | 25 | A+ | Frederick Keys | — | 354 | 329 | 89 | 17 | 0 | 3 | 22 | 75 | 1 | 4 | 0 | 271 | 318 | 350 | 668 | 79 | 341 | 21 | 6 | 301 | 45 | — | — | — | — | — | — |
| 2015 | 26 | AA | Bowie Baysox | — | 128 | 115 | 27 | 4 | 1 | 3 | 6 | 25 | 2 | 2 | 0 | 235 | 285 | 365 | 650 | 130 | 270 | 20 | 5 | 280 | 45 | — | — | — | — | — | — |
| 2015 | 26 | A+ | Frederick Keys | — | 238 | 207 | 60 | 11 | 1 | 7 | 25 | 30 | 4 | 1 | 2 | 290 | 377 | 454 | 831 | 164 | 308 | 13 | 11 | 369 | 76 | — | — | — | — | — | — |
| 2016 | 27 | AA | Bowie Baysox | — | 230 | 212 | 53 | 8 | 1 | 4 | 14 | 42 | 1 | 1 | 1 | 250 | 300 | 354 | 653 | 104 | 292 | 18 | 6 | 291 | 49 | — | — | — | — | — | — |
| 2017 | 28 | AA | Bowie Baysox | — | 91 | 88 | 25 | 3 | 0 | 3 | 2 | 25 | 1 | 1 | 0 | 284 | 308 | 420 | 728 | 136 | 367 | 27 | 2 | 323 | 48 | — | — | — | — | — | — |
| 2019 | 30 | INTL | Canberra Cavalry | — | 116 | 100 | 30 | 8 | 0 | 5 | 14 | 24 | 1 | 4 | 1 | 300 | 391 | 530 | 921 | 230 | 347 | 21 | 12 | 401 | 158 | — | — | — | — | — | — |
| 2020 | 31 | INTL | Canberra Cavalry | — | 105 | 86 | 21 | 6 | 1 | 3 | 17 | 23 | 2 | 1 | 0 | 244 | 381 | 442 | 823 | 198 | 300 | 22 | 16 | 370 | 137 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2013 | 24 | A+ MLE | Frederick Keys | — | 177 | 165 | 40 | 6 | 1 | 1 | 10 | 50 | 0 | 5 | 2 | 242 | 286 | 309 | 595 | 67 | 330 | 28 | 6 | 255 | 59 | — | — | — | — | — | — |
| 2013 | 24 | A MLE | Delmarva Shorebirds | — | 271 | 249 | 57 | 8 | 5 | 8 | 12 | 58 | 5 | 3 | 3 | 229 | 278 | 398 | 676 | 169 | 255 | 21 | 4 | 288 | 81 | — | — | — | — | — | — |
| 2014 | 25 | A+ MLE | Frederick Keys | — | 354 | 338 | 74 | 13 | 0 | 2 | 13 | 107 | 1 | 4 | 0 | 219 | 250 | 275 | 525 | 56 | 313 | 30 | 4 | 235 | 45 | — | — | — | — | — | — |
| 2015 | 26 | AA MLE | Bowie Baysox | — | 128 | 117 | 24 | 3 | 1 | 2 | 4 | 31 | 2 | 2 | 0 | 205 | 244 | 299 | 543 | 94 | 246 | 24 | 3 | 234 | 45 | — | — | — | — | — | — |
| 2015 | 26 | A+ MLE | Frederick Keys | — | 238 | 218 | 50 | 8 | 1 | 5 | 14 | 43 | 4 | 1 | 2 | 229 | 288 | 344 | 632 | 115 | 259 | 18 | 6 | 280 | 76 | — | — | — | — | — | — |
| 2016 | 27 | AA MLE | Bowie Baysox | — | 230 | 217 | 47 | 6 | 1 | 3 | 9 | 52 | 1 | 1 | 1 | 217 | 251 | 295 | 546 | 78 | 267 | 23 | 4 | 240 | 49 | — | — | — | — | — | — |
| 2017 | 28 | AA MLE | Bowie Baysox | — | 91 | 89 | 19 | 2 | 0 | 2 | 1 | 31 | 1 | 1 | 0 | 213 | 231 | 303 | 534 | 90 | 317 | 34 | 1 | 239 | 48 | — | — | — | — | — | — |
| 2013 | 24 | A MLE | 3 teams | — | 613 | 571 | 132 | 19 | 8 | 12 | 29 | 148 | 6 | 17 | 9 | 231 | 276 | 356 | 631 | 124 | 288 | 24 | 5 | 275 | 72 | — | — | — | — | — | — |
| 2013 | 24 | A RAW | 3 teams | — | 613 | 549 | 151 | 30 | 6 | 13 | 51 | 100 | 6 | 17 | 9 | 275 | 343 | 423 | 766 | 148 | 313 | 16 | 8 | 339 | 72 | — | — | — | — | — | — |
| 2014 | 25 | A+ MLE | Frederick Keys | — | 354 | 338 | 74 | 13 | 0 | 2 | 13 | 107 | 1 | 4 | 0 | 219 | 250 | 275 | 525 | 56 | 313 | 30 | 4 | 235 | 45 | — | — | — | — | — | — |
| 2014 | 25 | A+ RAW | Frederick Keys | — | 354 | 329 | 89 | 17 | 0 | 3 | 22 | 75 | 1 | 4 | 0 | 271 | 318 | 350 | 668 | 79 | 341 | 21 | 6 | 301 | 45 | — | — | — | — | — | — |
| 2015 | 26 | A+ MLE | 2 teams | — | 366 | 335 | 75 | 12 | 2 | 7 | 18 | 74 | 6 | 3 | 2 | 224 | 276 | 334 | 610 | 110 | 264 | 20 | 5 | 264 | 65 | — | — | — | — | — | — |
| 2015 | 26 | A+ RAW | 2 teams | — | 366 | 322 | 87 | 15 | 2 | 10 | 31 | 55 | 6 | 3 | 2 | 270 | 345 | 422 | 768 | 152 | 295 | 15 | 8 | 338 | 65 | — | — | — | — | — | — |
| 2016 | 27 | AA MLE | Bowie Baysox | — | 230 | 217 | 47 | 6 | 1 | 3 | 9 | 52 | 1 | 1 | 1 | 217 | 251 | 295 | 546 | 78 | 268 | 23 | 4 | 240 | 49 | — | — | — | — | — | — |
| 2016 | 27 | AA RAW | Bowie Baysox | — | 230 | 212 | 53 | 8 | 1 | 4 | 14 | 42 | 1 | 1 | 1 | 250 | 300 | 354 | 653 | 104 | 292 | 18 | 6 | 291 | 49 | — | — | — | — | — | — |
| 2017 | 28 | AA MLE | Bowie Baysox | — | 91 | 89 | 19 | 2 | 0 | 2 | 1 | 31 | 1 | 1 | 0 | 213 | 231 | 303 | 534 | 90 | 304 | 34 | 1 | 239 | 48 | — | — | — | — | — | — |
| 2017 | 28 | AA RAW | Bowie Baysox | — | 91 | 88 | 25 | 3 | 0 | 3 | 2 | 25 | 1 | 1 | 0 | 284 | 308 | 420 | 728 | 136 | 367 | 27 | 2 | 323 | 48 | — | — | — | — | — | — |
| 2019 | 30 | INTL MLE | Canberra Cavalry | — | 116 | 100 | 30 | 8 | 0 | 5 | 14 | 24 | 1 | 4 | 1 | 300 | 391 | 530 | 921 | 230 | 347 | 21 | 12 | — | — | — | — | — | — | — | — |
| 2019 | 30 | INTL RAW | Canberra Cavalry | — | 116 | 100 | 30 | 8 | 0 | 5 | 14 | 24 | 1 | 4 | 1 | 300 | 391 | 530 | 921 | 230 | 347 | 21 | 12 | 401 | 158 | — | — | — | — | — | — |
| 2020 | 31 | INTL MLE | Canberra Cavalry | — | 105 | 86 | 21 | 6 | 1 | 3 | 17 | 23 | 2 | 1 | 0 | 244 | 381 | 442 | 823 | 198 | 300 | 22 | 16 | — | — | — | — | — | — | — | — |
| 2020 | 31 | INTL RAW | Canberra Cavalry | — | 105 | 86 | 21 | 6 | 1 | 3 | 17 | 23 | 2 | 1 | 0 | 244 | 381 | 442 | 823 | 198 | 300 | 22 | 16 | 370 | 137 | — | — | — | — | — | — |
| 2013 | 24 | A MLE | 3 teams | — | 613 | 573 | 132 | 19 | 8 | 12 | 29 | 148 | 6 | 17 | 9 | 230 | 276 | 354 | 630 | 124 | 285 | 24 | 5 | 275 | 72 | — | — | — | — | — | — |
| 2014 | 25 | A+ MLE | Frederick Keys | — | 354 | 337 | 74 | 13 | 0 | 2 | 13 | 107 | 1 | 4 | 0 | 220 | 250 | 276 | 526 | 56 | 313 | 30 | 4 | 235 | 45 | — | — | — | — | — | — |
| 2015 | 26 | A+ MLE | 2 teams | — | 366 | 339 | 75 | 12 | 2 | 7 | 18 | 74 | 6 | 3 | 2 | 221 | 276 | 330 | 606 | 109 | 254 | 20 | 5 | 264 | 65 | — | — | — | — | — | — |
| 2016 | 27 | AA MLE | Bowie Baysox | — | 230 | 218 | 47 | 6 | 1 | 3 | 9 | 52 | 1 | 1 | 1 | 216 | 251 | 294 | 545 | 78 | 267 | 23 | 4 | 240 | 49 | — | — | — | — | — | — |
| 2017 | 28 | AA MLE | Bowie Baysox | — | 91 | 89 | 19 | 2 | 0 | 2 | 1 | 31 | 1 | 1 | 0 | 213 | 231 | 303 | 534 | 90 | 317 | 34 | 1 | 239 | 48 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1875 | 1736 | 398 | 66 | 12 | 34 | 101 | 459 | 18 | 31 | 13 | 229 | 279 | 340 | 619 | 111 | 290 | 24 | 5 | 227 | 40 | -135 | +1 | +0 | -20 | +41 | -11.5 | |
| / 162G | — | MLE | — | 650 | 602 | 138 | 23 | 4 | 12 | 35 | 159 | 6 | 11 | 5 | 229 | 278 | 341 | 619 | 111 | 289 | 24 | 5 | 227 | 40 | -47 | +0 | +0 | -7 | +14 | -4.0 | |
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.
2017 AABowie Baysox · 91 PAwOBA .314 → .239 (−75)K% 27.5% → 34.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.47% | ÷0.970 | ×1.220 | — | — | 34.55% |
| BB% (unintentional) /PA | 2.20% | ÷1.061 | ×0.700 | — | ×0.958 | 1.39% |
| HBP% /PA | 1.10% | — | ×0.850 | — | ×0.958 | 0.89% |
| Singles /BIP | 30.16% | ÷0.993 | ×0.970 | ×0.955 | ×0.958 | 26.95% |
| Doubles /BIP | 4.76% | ÷1.043 | ×0.860 | ×0.955 | ×0.958 | 3.59% |
| Triples /BIP | 0.00% | ÷1.016 | ×0.950 | ×0.955 | ×0.958 | 0.00% |
| Home runs /BIP | 4.76% | ÷0.998 | ×0.780 | — | ×0.958 | 3.57% |
Factors used: league row EL. Park (home-season share, regressed): HR 100, 1B 99, 2B 109, 3B 103, K 94, BB 112 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.955.
Result: wOBA .314 → .239; ISO .136 → .093; BABIP .367 → .317. 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).
2016 AABowie Baysox · 230 PAwOBA .286 → .240 (−46)K% 18.3% → 22.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.26% | ÷0.984 | ×1.220 | — | — | 22.63% |
| BB% (unintentional) /PA | 6.09% | ÷1.084 | ×0.700 | — | ×0.968 | 3.81% |
| HBP% /PA | 0.43% | — | ×0.850 | — | ×0.968 | 0.36% |
| Singles /BIP | 23.53% | ÷0.992 | ×0.970 | ×0.998 | ×0.968 | 22.23% |
| Doubles /BIP | 4.71% | ÷1.053 | ×0.860 | ×0.998 | ×0.968 | 3.71% |
| Triples /BIP | 0.59% | ÷0.900 | ×0.950 | ×0.998 | ×0.968 | 0.60% |
| Home runs /BIP | 2.35% | ÷1.057 | ×0.780 | — | ×0.968 | 1.68% |
Factors used: league row EL. Park (home-season share, regressed): HR 111, 1B 98, 2B 111, 3B 80, K 97, BB 117 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.998.
Result: wOBA .286 → .240; ISO .104 → .079; BABIP .292 → .267. 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).
2015 A+Frederick Keys · 238 PAwOBA .360 → .280 (−79)K% 12.6% → 18.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.61% | ÷0.985 | ×1.420 | — | — | 18.18% |
| BB% (unintentional) /PA | 9.66% | ÷0.999 | ×0.630 | — | ×0.958 | 5.84% |
| HBP% /PA | 1.68% | — | ×0.860 | — | ×0.958 | 1.38% |
| Singles /BIP | 23.16% | ÷1.001 | ×0.940 | ×0.975 | ×0.958 | 20.30% |
| Doubles /BIP | 6.21% | ÷1.021 | ×0.830 | ×0.975 | ×0.958 | 4.72% |
| Triples /BIP | 0.56% | ÷0.935 | ×0.800 | ×0.975 | ×0.958 | 0.45% |
| Home runs /BIP | 3.95% | ÷1.184 | ×0.900 | — | ×0.958 | 2.88% |
Factors used: league row CAR. Park (home-season share, regressed): HR 137, 1B 100, 2B 104, 3B 87, K 97, BB 100 — applied at half strength. Age: age 27 vs a level average of 22.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.975.
Result: wOBA .360 → .280; ISO .164 → .122; BABIP .308 → .259. 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).
2015 AABowie Baysox · 128 PAwOBA .277 → .234 (−42)K% 19.5% → 24.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.53% | ÷0.989 | ×1.220 | — | — | 24.10% |
| BB% (unintentional) /PA | 4.69% | ÷1.014 | ×0.700 | — | ×0.978 | 3.16% |
| HBP% /PA | 1.56% | — | ×0.850 | — | ×0.978 | 1.30% |
| Singles /BIP | 21.11% | ÷1.023 | ×0.970 | ×1.015 | ×0.978 | 19.87% |
| Doubles /BIP | 4.44% | ÷0.999 | ×0.860 | ×1.015 | ×0.978 | 3.80% |
| Triples /BIP | 1.11% | ÷1.123 | ×0.950 | ×1.015 | ×0.978 | 0.93% |
| Home runs /BIP | 3.33% | ÷1.197 | ×0.780 | — | ×0.978 | 2.12% |
Factors used: league row EL. Park (home-season share, regressed): HR 139, 1B 105, 2B 100, 3B 125, K 98, BB 103 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.
Result: wOBA .277 → .234; ISO .130 → .096; BABIP .270 → .246. 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).
2014 A+Frederick Keys · 354 PAwOBA .293 → .235 (−57)K% 21.2% → 30.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.19% | ÷0.999 | ×1.420 | — | — | 30.11% |
| BB% (unintentional) /PA | 5.93% | ÷0.985 | ×0.630 | — | ×0.968 | 3.67% |
| HBP% /PA | 0.28% | — | ×0.860 | — | ×0.968 | 0.24% |
| Singles /BIP | 27.17% | ÷1.014 | ×0.940 | ×1.040 | ×0.968 | 25.34% |
| Doubles /BIP | 6.69% | ÷0.969 | ×0.830 | ×1.040 | ×0.968 | 5.77% |
| Triples /BIP | 0.00% | ÷0.984 | ×0.800 | ×1.040 | ×0.968 | 0.00% |
| Home runs /BIP | 1.18% | ÷1.076 | ×0.900 | — | ×0.968 | 0.96% |
Factors used: league row CAR. Park (home-season share, regressed): HR 115, 1B 103, 2B 94, 3B 97, K 100, BB 97 — applied at half strength. Age: age 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.040.
Result: wOBA .293 → .235; ISO .079 → .061; BABIP .341 → .313. 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).
2013 ADelmarva Shorebirds · 271 PAwOBA .346 → .288 (−58)K% 16.2% → 21.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.24% | ÷1.010 | ×1.340 | — | — | 21.53% |
| BB% (unintentional) /PA | 7.75% | ÷1.116 | ×0.660 | — | ×0.970 | 4.45% |
| HBP% /PA | 1.85% | — | ×0.770 | — | ×0.970 | 1.38% |
| Singles /BIP | 20.92% | ÷1.018 | ×0.920 | ×0.999 | ×0.970 | 18.33% |
| Doubles /BIP | 5.10% | ÷0.994 | ×0.820 | ×0.999 | ×0.970 | 4.08% |
| Triples /BIP | 2.55% | ÷0.929 | ×0.940 | ×0.999 | ×0.970 | 2.50% |
| Home runs /BIP | 4.59% | ÷0.872 | ×0.820 | — | ×0.970 | 4.19% |
Factors used: league row SAL. Park (home-season share, regressed): HR 74, 1B 104, 2B 99, 3B 86, K 102, BB 123 — applied at half strength. Age: age 25 vs a level average of 22.0 → −3.0% on BB/HBP/hit rates (3.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.
Result: wOBA .346 → .288; ISO .196 → .178; BABIP .293 → .255. 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).
2013 A+Frederick Keys · 177 PAwOBA .310 → .255 (−55)K% 19.2% → 28.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.21% | ÷0.964 | ×1.420 | — | — | 28.30% |
| BB% (unintentional) /PA | 9.04% | ÷1.028 | ×0.630 | — | ×0.978 | 5.42% |
| HBP% /PA | 0.00% | — | ×0.860 | — | ×0.978 | 0.00% |
| Singles /BIP | 27.20% | ÷0.958 | ×0.940 | ×1.044 | ×0.978 | 27.25% |
| Doubles /BIP | 6.40% | ÷1.050 | ×0.830 | ×1.044 | ×0.978 | 5.16% |
| Triples /BIP | 0.80% | ÷0.918 | ×0.800 | ×1.044 | ×0.978 | 0.71% |
| Home runs /BIP | 0.80% | ÷1.324 | ×0.900 | — | ×0.978 | 0.53% |
Factors used: league row CAR. Park (home-season share, regressed): HR 165, 1B 92, 2B 110, 3B 84, K 93, BB 106 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.044.
Result: wOBA .310 → .255; ISO .082 → .060; BABIP .344 → .330. 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 — .