Seth Harrison
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2014 | 22 | ROKAZL Giants | 18 | .067/.222/.200 | 0 | 1 | -32 | — | .062/.167/.188 |
| 2015 | 23 | A+/A2 orgs | 473 | .220/.275/.317 | 4 | 19 | 23 | — | .173/.217/.239 |
| 2016 | 24 | AATL | 456 | .256/.327/.366 | 6 | 16 | 51 | — | .209/.260/.309 |
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) | |||||||||||||||||||||||||||||||
| 2014 | 22 | ROK | AZL Giants | — | 18 | 15 | 1 | 0 | 1 | 0 | 3 | 6 | 0 | 1 | 0 | 67 | 222 | 200 | 422 | 133 | 111 | 33 | 17 | 206 | -32 | — | — | — | — | — | — |
| 2015 | 23 | A+ | San Jose Giants | — | 378 | 345 | 73 | 17 | 2 | 4 | 20 | 103 | 7 | 13 | 11 | 212 | 269 | 307 | 576 | 96 | 289 | 27 | 5 | 259 | 18 | — | — | — | — | — | — |
| 2015 | 23 | A | Augusta GreenJackets | — | 95 | 87 | 22 | 3 | 3 | 0 | 6 | 18 | 0 | 6 | 4 | 253 | 301 | 356 | 657 | 103 | 319 | 19 | 6 | 288 | 41 | — | — | — | — | — | — |
| 2016 | 24 | A | Augusta GreenJackets | — | 456 | 407 | 104 | 19 | 4 | 6 | 37 | 94 | 6 | 16 | 8 | 256 | 327 | 366 | 693 | 111 | 317 | 21 | 8 | 310 | 51 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2014 | 22 | ROK MLE | AZL Giants | — | 18 | 16 | 1 | 0 | 1 | 0 | 2 | 9 | 0 | 1 | 0 | 62 | 167 | 188 | 354 | 125 | 78 | 50 | 11 | 121 | -32 | — | — | — | — | — | — |
| 2015 | 23 | A+ MLE | San Jose Giants | — | 378 | 351 | 58 | 12 | 1 | 3 | 14 | 140 | 7 | 13 | 11 | 165 | 212 | 231 | 443 | 66 | 255 | 37 | 4 | 195 | 18 | — | — | — | — | — | — |
| 2015 | 23 | A MLE | Augusta GreenJackets | — | 95 | 89 | 18 | 2 | 2 | 0 | 4 | 24 | 0 | 6 | 4 | 202 | 237 | 270 | 506 | 67 | 282 | 25 | 4 | 229 | 41 | — | — | — | — | — | — |
| 2016 | 24 | A MLE | Augusta GreenJackets | — | 456 | 421 | 88 | 16 | 4 | 6 | 23 | 123 | 6 | 16 | 8 | 209 | 260 | 309 | 569 | 100 | 269 | 27 | 5 | 243 | 51 | — | — | — | — | — | — |
| 2014 | 22 | ROK MLE | AZL Giants | — | 18 | 16 | 1 | 0 | 1 | 0 | 2 | 9 | 0 | 1 | 0 | 62 | 167 | 188 | 354 | 125 | 143 | 50 | 11 | 121 | -32 | — | — | — | — | — | — |
| 2014 | 22 | ROK RAW | AZL Giants | — | 18 | 15 | 1 | 0 | 1 | 0 | 3 | 6 | 0 | 1 | 0 | 67 | 222 | 200 | 422 | 133 | 111 | 33 | 17 | 206 | -32 | — | — | — | — | — | — |
| 2015 | 23 | A+ MLE | 2 teams | — | 473 | 440 | 77 | 14 | 4 | 3 | 18 | 164 | 7 | 19 | 15 | 175 | 219 | 245 | 465 | 70 | 270 | 35 | 4 | 202 | 23 | — | — | — | — | — | — |
| 2015 | 23 | A+ RAW | 2 teams | — | 473 | 432 | 95 | 20 | 5 | 4 | 26 | 121 | 7 | 19 | 15 | 220 | 275 | 317 | 592 | 97 | 295 | 26 | 5 | 264 | 23 | — | — | — | — | — | — |
| 2016 | 24 | A MLE | Augusta GreenJackets | — | 456 | 421 | 88 | 16 | 4 | 6 | 23 | 123 | 6 | 16 | 8 | 209 | 260 | 309 | 569 | 100 | 279 | 27 | 5 | 243 | 51 | — | — | — | — | — | — |
| 2016 | 24 | A RAW | Augusta GreenJackets | — | 456 | 407 | 104 | 19 | 4 | 6 | 37 | 94 | 6 | 16 | 8 | 256 | 327 | 366 | 693 | 111 | 317 | 21 | 8 | 310 | 51 | — | — | — | — | — | — |
| 2014 | 22 | ROK MLE | AZL Giants | — | 18 | 16 | 1 | 0 | 1 | 0 | 2 | 9 | 0 | 1 | 0 | 62 | 167 | 188 | 354 | 125 | 78 | 50 | 11 | 121 | -32 | — | — | — | — | — | — |
| 2015 | 23 | A+ MLE | 2 teams | — | 473 | 445 | 77 | 14 | 4 | 3 | 18 | 164 | 7 | 19 | 15 | 173 | 219 | 243 | 462 | 70 | 260 | 35 | 4 | 202 | 23 | — | — | — | — | — | — |
| 2016 | 24 | A MLE | Augusta GreenJackets | — | 456 | 424 | 88 | 16 | 4 | 6 | 23 | 123 | 6 | 16 | 8 | 208 | 260 | 307 | 567 | 99 | 269 | 27 | 5 | 243 | 51 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 947 | 877 | 166 | 30 | 9 | 9 | 43 | 296 | 13 | 36 | 23 | 189 | 238 | 275 | 513 | 86 | 273 | 31 | 5 | 220 | 35 | -73 | -2 | +0 | +3 | +21 | -5.2 | |
| / 162G | — | MLE | — | 650 | 602 | 114 | 21 | 6 | 6 | 30 | 203 | 9 | 25 | 16 | 189 | 239 | 274 | 513 | 85 | 273 | 31 | 5 | 220 | 35 | -50 | -1 | +0 | +2 | +14 | -3.6 | |
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.
2016 AAugusta GreenJackets · 456 PAwOBA .304 → .243 (−60)K% 20.6% → 27.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.61% | ÷1.025 | ×1.340 | — | — | 26.96% |
| BB% (unintentional) /PA | 8.11% | ÷1.020 | ×0.660 | — | ×0.980 | 5.14% |
| HBP% /PA | 1.32% | — | ×0.770 | — | ×0.980 | 0.99% |
| Singles /BIP | 23.96% | ÷1.054 | ×0.920 | ×0.985 | ×0.980 | 20.20% |
| Doubles /BIP | 6.07% | ÷0.944 | ×0.820 | ×0.985 | ×0.980 | 5.09% |
| Triples /BIP | 1.28% | ÷0.919 | ×0.940 | ×0.985 | ×0.980 | 1.26% |
| Home runs /BIP | 1.92% | ÷0.834 | ×0.820 | — | ×0.980 | 1.85% |
Factors used: league row SAL. Park (home-season share, regressed): HR 67, 1B 111, 2B 89, 3B 84, K 105, BB 104 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.985.
Result: wOBA .304 → .243; ISO .111 → .099; BABIP .317 → .269. 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+San Jose Giants · 378 PAwOBA .252 → .195 (−57)K% 27.2% → 37.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.25% | ÷0.983 | ×1.340 | — | — | 37.15% |
| BB% (unintentional) /PA | 5.29% | ÷0.996 | ×0.710 | — | ×0.998 | 3.77% |
| HBP% /PA | 1.85% | — | ×0.790 | — | ×0.998 | 1.46% |
| Singles /BIP | 20.66% | ÷0.971 | ×0.910 | ×1.000 | ×0.998 | 19.32% |
| Doubles /BIP | 7.02% | ÷1.071 | ×0.820 | ×1.000 | ×0.998 | 5.37% |
| Triples /BIP | 0.83% | ÷1.150 | ×0.760 | ×1.000 | ×0.998 | 0.55% |
| Home runs /BIP | 1.65% | ÷1.031 | ×0.920 | — | ×0.998 | 1.47% |
Factors used: league row CAL. Park (home-season share, regressed): HR 106, 1B 94, 2B 114, 3B 130, K 97, BB 99 — 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 .252 → .195; ISO .096 → .069; BABIP .289 → .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).
2015 AAugusta GreenJackets · 95 PAwOBA .281 → .229 (−52)K% 18.9% → 25.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.95% | ÷0.996 | ×1.340 | — | — | 25.48% |
| BB% (unintentional) /PA | 6.32% | ÷0.989 | ×0.660 | — | ×0.990 | 4.17% |
| HBP% /PA | 0.00% | — | ×0.770 | — | ×0.990 | 0.00% |
| Singles /BIP | 23.19% | ÷0.986 | ×0.920 | ×0.997 | ×0.990 | 21.35% |
| Doubles /BIP | 4.35% | ÷1.055 | ×0.820 | ×0.997 | ×0.990 | 3.34% |
| Triples /BIP | 4.35% | ÷1.150 | ×0.940 | ×0.997 | ×0.990 | 3.51% |
| Home runs /BIP | 0.00% | ÷0.952 | ×0.820 | — | ×0.990 | 0.00% |
Factors used: league row SAL. Park (home-season share, regressed): HR 90, 1B 97, 2B 111, 3B 130, K 99, BB 98 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.997.
Result: wOBA .281 → .229; ISO .103 → .080; BABIP .319 → .282. 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 ROKAZL Giants · 18 PAwOBA .202 → .121 (−81)K% 33.3% → 48.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 33.33% | ÷1.000 | ×1.440 | — | — | 48.00% |
| BB% (unintentional) /PA | 16.67% | ÷1.000 | ×0.620 | — | ×0.975 | 10.07% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.975 | 0.00% |
| Singles /BIP | 0.00% | ÷1.000 | ×0.820 | — | ×0.975 | 0.00% |
| Doubles /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.975 | 0.00% |
| Triples /BIP | 11.11% | ÷1.000 | ×0.720 | — | ×0.975 | 7.80% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×0.975 | 0.00% |
Factors used: level-wide ROK 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 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).
Result: wOBA .202 → .121; ISO .133 → .078; BABIP .111 → .078. 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).