James Ramsay
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2014 | 22 | A+/A2 orgs | 532 | .246/.344/.374 | 3 | 34 | 55 | — | .197/.273/.293 |
| 2015 | 23 | A+Lancaster Jet… | 571 | .322/.388/.463 | 10 | 16 | 93 | — | .277/.327/.392 |
| 2016 | 24 | AAHOU | 391 | .195/.288/.293 | 4 | 4 | 37 | — | .175/.249/.253 |
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 | A+ | Lancaster JetHawks | — | 23 | 18 | 4 | 1 | 1 | 0 | 3 | 6 | 1 | 1 | 1 | 222 | 364 | 389 | 753 | 167 | 333 | 26 | 13 | 328 | 61 | — | — | — | — | — | — |
| 2014 | 22 | A | Quad Cities River Bandits | — | 509 | 434 | 107 | 26 | 10 | 3 | 59 | 101 | 5 | 33 | 7 | 247 | 343 | 373 | 717 | 127 | 310 | 20 | 12 | 319 | 55 | — | — | — | — | — | — |
| 2015 | 23 | A+ | Lancaster JetHawks | — | 571 | 497 | 160 | 32 | 4 | 10 | 52 | 86 | 2 | 16 | 12 | 322 | 388 | 463 | 851 | 141 | 369 | 15 | 9 | 367 | 93 | — | — | — | — | — | — |
| 2016 | 24 | AA | Corpus Christi Hooks | — | 391 | 338 | 66 | 17 | 2 | 4 | 40 | 67 | 4 | 4 | 4 | 195 | 288 | 293 | 581 | 98 | 230 | 17 | 10 | 264 | 37 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2014 | 22 | A+ MLE | Lancaster JetHawks | — | 23 | 19 | 4 | 1 | 1 | 0 | 2 | 8 | 1 | 1 | 1 | 211 | 318 | 368 | 687 | 158 | 295 | 35 | 9 | 258 | 61 | — | — | — | — | — | — |
| 2014 | 22 | A MLE | Quad Cities River Bandits | — | 509 | 452 | 89 | 20 | 8 | 2 | 41 | 137 | 5 | 33 | 7 | 197 | 271 | 290 | 561 | 93 | 264 | 27 | 8 | 250 | 55 | — | — | — | — | — | — |
| 2015 | 23 | A+ MLE | Lancaster JetHawks | — | 571 | 513 | 142 | 26 | 3 | 9 | 36 | 124 | 2 | 16 | 12 | 277 | 327 | 392 | 718 | 115 | 326 | 22 | 6 | 305 | 93 | — | — | — | — | — | — |
| 2016 | 24 | AA MLE | Corpus Christi Hooks | — | 391 | 348 | 61 | 14 | 2 | 3 | 30 | 77 | 4 | 4 | 4 | 175 | 249 | 253 | 502 | 78 | 208 | 20 | 8 | 223 | 37 | — | — | — | — | — | — |
| 2014 | 22 | A MLE | 2 teams | — | 532 | 471 | 93 | 21 | 9 | 2 | 43 | 145 | 6 | 34 | 8 | 197 | 273 | 293 | 566 | 96 | 276 | 27 | 8 | 250 | 56 | — | — | — | — | — | — |
| 2014 | 22 | A RAW | 2 teams | — | 532 | 452 | 111 | 27 | 11 | 3 | 62 | 107 | 6 | 34 | 8 | 246 | 344 | 374 | 718 | 128 | 310 | 20 | 12 | 319 | 56 | — | — | — | — | — | — |
| 2015 | 23 | A+ MLE | Lancaster JetHawks | — | 571 | 513 | 142 | 26 | 3 | 9 | 36 | 124 | 2 | 16 | 12 | 277 | 327 | 392 | 718 | 115 | 345 | 22 | 6 | 305 | 93 | — | — | — | — | — | — |
| 2015 | 23 | A+ RAW | Lancaster JetHawks | — | 571 | 497 | 160 | 32 | 4 | 10 | 52 | 86 | 2 | 16 | 12 | 322 | 388 | 463 | 851 | 141 | 369 | 15 | 9 | 367 | 93 | — | — | — | — | — | — |
| 2016 | 24 | AA MLE | Corpus Christi Hooks | — | 391 | 348 | 61 | 14 | 2 | 3 | 30 | 77 | 4 | 4 | 4 | 175 | 249 | 253 | 502 | 78 | 215 | 20 | 8 | 223 | 37 | — | — | — | — | — | — |
| 2016 | 24 | AA RAW | Corpus Christi Hooks | — | 391 | 338 | 66 | 17 | 2 | 4 | 40 | 67 | 4 | 4 | 4 | 195 | 288 | 293 | 581 | 98 | 230 | 17 | 10 | 264 | 37 | — | — | — | — | — | — |
| 2014 | 22 | A MLE | 2 teams | — | 532 | 478 | 93 | 21 | 9 | 2 | 43 | 145 | 6 | 34 | 8 | 195 | 273 | 289 | 562 | 94 | 265 | 27 | 8 | 250 | 56 | — | — | — | — | — | — |
| 2015 | 23 | A+ MLE | Lancaster JetHawks | — | 571 | 528 | 142 | 26 | 3 | 9 | 36 | 124 | 2 | 16 | 12 | 269 | 327 | 381 | 707 | 112 | 326 | 22 | 6 | 305 | 93 | — | — | — | — | — | — |
| 2016 | 24 | AA MLE | Corpus Christi Hooks | — | 391 | 354 | 61 | 14 | 2 | 3 | 30 | 77 | 4 | 4 | 4 | 172 | 249 | 249 | 497 | 76 | 208 | 20 | 8 | 223 | 37 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1494 | 1332 | 296 | 61 | 14 | 14 | 109 | 346 | 12 | 54 | 24 | 222 | 287 | 321 | 608 | 98 | 286 | 23 | 7 | 264 | 65 | -62 | +1 | +0 | +5 | +32 | -2.4 | |
| / 162G | — | MLE | — | 650 | 580 | 129 | 27 | 6 | 6 | 47 | 151 | 5 | 23 | 10 | 222 | 286 | 321 | 607 | 98 | 287 | 23 | 7 | 264 | 65 | -27 | +1 | +0 | +2 | +14 | -1.0 | |
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.
2016 AACorpus Christi Hooks · 391 PAwOBA .259 → .223 (−36)K% 17.1% → 19.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.14% | ÷1.055 | ×1.220 | — | — | 19.81% |
| BB% (unintentional) /PA | 10.23% | ÷0.932 | ×0.700 | — | ×1.012 | 7.77% |
| HBP% /PA | 1.02% | — | ×0.870 | — | ×1.012 | 0.90% |
| Singles /BIP | 15.87% | ÷0.967 | ×0.920 | ×0.977 | ×1.012 | 14.93% |
| Doubles /BIP | 6.27% | ÷1.017 | ×0.840 | ×0.977 | ×1.012 | 5.12% |
| Triples /BIP | 0.74% | ÷0.977 | ×0.940 | ×0.977 | ×1.012 | 0.70% |
| Home runs /BIP | 1.48% | ÷1.196 | ×0.800 | — | ×1.012 | 1.00% |
Factors used: league row TL. Park (home-season share, regressed): HR 139, 1B 93, 2B 103, 3B 95, K 111, BB 86 — 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 ×0.977.
Result: wOBA .259 → .223; ISO .098 → .079; BABIP .230 → .208. 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+Lancaster JetHawks · 571 PAwOBA .361 → .305 (−56)K% 15.1% → 21.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.06% | ÷0.924 | ×1.340 | — | — | 21.85% |
| BB% (unintentional) /PA | 9.11% | ÷1.031 | ×0.710 | — | ×0.998 | 6.26% |
| HBP% /PA | 0.35% | — | ×0.790 | — | ×0.998 | 0.28% |
| Singles /BIP | 27.74% | ÷0.985 | ×0.910 | ×0.993 | ×0.998 | 25.41% |
| Doubles /BIP | 7.79% | ÷1.005 | ×0.820 | ×0.993 | ×0.998 | 6.29% |
| Triples /BIP | 0.97% | ÷1.150 | ×0.760 | ×0.993 | ×0.998 | 0.64% |
| Home runs /BIP | 2.43% | ÷0.964 | ×0.920 | — | ×0.998 | 2.32% |
Factors used: league row CAL. Park (home-season share, regressed): HR 93, 1B 97, 2B 101, 3B 130, K 85, BB 106 — 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 ×0.993.
Result: wOBA .361 → .305; ISO .141 → .119; BABIP .369 → .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).
2014 AQuad Cities River Bandits · 509 PAwOBA .315 → .250 (−65)K% 19.8% → 26.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.84% | ÷1.004 | ×1.360 | — | — | 26.89% |
| BB% (unintentional) /PA | 11.59% | ÷1.005 | ×0.690 | — | — | 7.96% |
| HBP% /PA | 0.98% | — | ×0.780 | — | — | 0.77% |
| Singles /BIP | 20.42% | ÷1.003 | ×0.920 | ×0.958 | — | 17.95% |
| Doubles /BIP | 7.81% | ÷0.999 | ×0.830 | ×0.958 | — | 6.22% |
| Triples /BIP | 3.00% | ÷1.013 | ×0.910 | ×0.958 | — | 2.59% |
| Home runs /BIP | 0.90% | ÷1.084 | ×0.800 | — | — | 0.66% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 117, 1B 101, 2B 100, 3B 103, K 101, BB 101 — 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 ×0.958.
Result: wOBA .315 → .250; ISO .127 → .101; BABIP .310 → .264. 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+Lancaster JetHawks · 23 PAwOBA .320 → .258 (−62)K% 26.1% → 36.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.09% | ÷0.948 | ×1.340 | — | — | 36.89% |
| BB% (unintentional) /PA | 13.04% | ÷0.987 | ×0.710 | — | ×1.012 | 9.50% |
| HBP% /PA | 4.35% | — | ×0.790 | — | ×1.012 | 3.48% |
| Singles /BIP | 16.67% | ÷0.999 | ×0.910 | — | ×1.012 | 15.36% |
| Doubles /BIP | 8.33% | ÷0.963 | ×0.820 | — | ×1.012 | 7.18% |
| Triples /BIP | 8.33% | ÷0.915 | ×0.760 | — | ×1.012 | 7.00% |
| Home runs /BIP | 0.00% | ÷1.234 | ×0.920 | — | ×1.012 | 0.00% |
Factors used: league row CAL. Park (home-season share, regressed): HR 147, 1B 100, 2B 93, 3B 83, K 90, BB 97 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average).
Result: wOBA .320 → .258; ISO .167 → .136; BABIP .333 → .295. 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).