Ty Ross
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2014 | 22 | AATL | 472 | .246/.318/.347 | 6 | 1 | 51 | — | .208/.264/.297 |
| 2015 | 23 | A+SF | 303 | .244/.307/.332 | 3 | 0 | 40 | — | .204/.250/.276 |
| 2016 | 24 | A+SF | 288 | .224/.292/.340 | 4 | 0 | 40 | — | .184/.236/.274 |
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) | |||||||||||||||||||||||||||||||
| 2014 | 22 | A | Augusta GreenJackets | — | 472 | 415 | 102 | 24 | 0 | 6 | 38 | 87 | 6 | 1 | 6 | 246 | 318 | 347 | 665 | 101 | 292 | 18 | 8 | 295 | 51 | — | — | — | — | — | — |
| 2015 | 23 | A+ | San Jose Giants | — | 303 | 271 | 66 | 15 | 0 | 3 | 24 | 65 | 1 | 0 | 0 | 244 | 307 | 332 | 640 | 89 | 304 | 21 | 8 | 285 | 40 | — | — | — | — | — | — |
| 2016 | 24 | A+ | San Jose Giants | — | 288 | 259 | 58 | 18 | 0 | 4 | 23 | 49 | 2 | 0 | 1 | 224 | 292 | 340 | 632 | 116 | 258 | 17 | 8 | 283 | 40 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2014 | 22 | A MLE | Augusta GreenJackets | — | 472 | 427 | 89 | 20 | 0 | 6 | 26 | 111 | 6 | 1 | 6 | 208 | 264 | 297 | 561 | 89 | 250 | 24 | 6 | 243 | 51 | — | — | — | — | — | — |
| 2015 | 23 | A+ MLE | San Jose Giants | — | 303 | 279 | 57 | 11 | 0 | 3 | 16 | 88 | 1 | 0 | 0 | 204 | 250 | 276 | 526 | 72 | 269 | 29 | 5 | 228 | 40 | — | — | — | — | — | — |
| 2016 | 24 | A+ MLE | San Jose Giants | — | 288 | 266 | 49 | 15 | 0 | 3 | 16 | 66 | 2 | 0 | 1 | 184 | 236 | 274 | 510 | 90 | 225 | 23 | 6 | 228 | 40 | — | — | — | — | — | — |
| 2014 | 22 | A MLE | Augusta GreenJackets | — | 472 | 427 | 89 | 20 | 0 | 6 | 26 | 111 | 6 | 1 | 6 | 208 | 264 | 297 | 561 | 89 | 262 | 24 | 6 | 243 | 51 | — | — | — | — | — | — |
| 2014 | 22 | A RAW | Augusta GreenJackets | — | 472 | 415 | 102 | 24 | 0 | 6 | 38 | 87 | 6 | 1 | 6 | 246 | 318 | 347 | 665 | 101 | 292 | 18 | 8 | 295 | 51 | — | — | — | — | — | — |
| 2015 | 23 | A+ MLE | San Jose Giants | — | 303 | 279 | 57 | 11 | 0 | 3 | 16 | 88 | 1 | 0 | 0 | 204 | 250 | 276 | 526 | 72 | 281 | 29 | 5 | 228 | 40 | — | — | — | — | — | — |
| 2015 | 23 | A+ RAW | San Jose Giants | — | 303 | 271 | 66 | 15 | 0 | 3 | 24 | 65 | 1 | 0 | 0 | 244 | 307 | 332 | 640 | 89 | 304 | 21 | 8 | 285 | 40 | — | — | — | — | — | — |
| 2016 | 24 | A+ MLE | San Jose Giants | — | 288 | 266 | 49 | 15 | 0 | 3 | 16 | 66 | 2 | 0 | 1 | 184 | 236 | 274 | 510 | 90 | 230 | 23 | 6 | 228 | 40 | — | — | — | — | — | — |
| 2016 | 24 | A+ RAW | San Jose Giants | — | 288 | 259 | 58 | 18 | 0 | 4 | 23 | 49 | 2 | 0 | 1 | 224 | 292 | 340 | 632 | 116 | 258 | 17 | 8 | 283 | 40 | — | — | — | — | — | — |
| 2014 | 22 | A MLE | Augusta GreenJackets | — | 472 | 437 | 89 | 20 | 0 | 6 | 26 | 111 | 6 | 1 | 6 | 204 | 264 | 291 | 554 | 87 | 250 | 24 | 6 | 243 | 51 | — | — | — | — | — | — |
| 2015 | 23 | A+ MLE | San Jose Giants | — | 303 | 283 | 57 | 11 | 0 | 3 | 16 | 88 | 1 | 0 | 0 | 201 | 250 | 272 | 522 | 71 | 269 | 29 | 5 | 228 | 40 | — | — | — | — | — | — |
| 2016 | 24 | A+ MLE | San Jose Giants | — | 288 | 268 | 49 | 15 | 0 | 3 | 16 | 66 | 2 | 0 | 1 | 183 | 236 | 272 | 508 | 90 | 225 | 23 | 6 | 228 | 40 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1063 | 972 | 195 | 46 | 0 | 12 | 58 | 265 | 9 | 1 | 7 | 201 | 252 | 285 | 537 | 84 | 258 | 25 | 5 | 235 | 45 | -70 | -3 | +0 | +19 | +23 | -3.1 | |
| / 162G | — | MLE | — | 650 | 594 | 119 | 28 | 0 | 7 | 35 | 162 | 6 | 1 | 4 | 200 | 252 | 283 | 535 | 82 | 258 | 25 | 5 | 235 | 45 | -43 | -1 | +0 | +12 | +14 | -1.9 | |
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.
2016 A+San Jose Giants · 288 PAwOBA .277 → .228 (−49)K% 17.0% → 22.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.01% | ÷0.998 | ×1.340 | — | — | 22.85% |
| BB% (unintentional) /PA | 7.64% | ÷0.992 | ×0.710 | — | ×0.988 | 5.40% |
| HBP% /PA | 0.69% | — | ×0.790 | — | ×0.988 | 0.54% |
| Singles /BIP | 17.14% | ÷1.008 | ×0.910 | ×0.996 | ×0.988 | 15.23% |
| Doubles /BIP | 8.57% | ÷0.951 | ×0.820 | ×0.996 | ×0.988 | 7.27% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.760 | ×0.996 | ×0.988 | 0.00% |
| Home runs /BIP | 1.90% | ÷1.045 | ×0.920 | — | ×0.988 | 1.66% |
Factors used: league row CAL. Park (home-season share, regressed): HR 109, 1B 102, 2B 90, 3B 80, K 100, BB 98 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.996.
Result: wOBA .277 → .228; ISO .116 → .097; BABIP .258 → .225. 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 · 303 PAwOBA .280 → .228 (−52)K% 21.5% → 29.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.45% | ÷0.983 | ×1.340 | — | — | 29.24% |
| BB% (unintentional) /PA | 7.59% | ÷0.996 | ×0.710 | — | ×0.998 | 5.40% |
| HBP% /PA | 0.33% | — | ×0.790 | — | ×0.998 | 0.26% |
| Singles /BIP | 23.30% | ÷0.971 | ×0.910 | ×0.991 | ×0.998 | 21.59% |
| Doubles /BIP | 7.28% | ÷1.071 | ×0.820 | ×0.991 | ×0.998 | 5.51% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.760 | ×0.991 | ×0.998 | 0.00% |
| Home runs /BIP | 1.46% | ÷1.031 | ×0.920 | — | ×0.998 | 1.30% |
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 ×0.991.
Result: wOBA .280 → .228; ISO .089 → .068; BABIP .304 → .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).
2014 AAugusta GreenJackets · 472 PAwOBA .292 → .243 (−49)K% 18.4% → 23.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.43% | ÷1.053 | ×1.340 | — | — | 23.45% |
| BB% (unintentional) /PA | 8.05% | ÷0.966 | ×0.660 | — | — | 5.50% |
| HBP% /PA | 1.27% | — | ×0.770 | — | — | 0.98% |
| Singles /BIP | 21.95% | ÷1.055 | ×0.920 | ×0.993 | — | 19.02% |
| Doubles /BIP | 7.32% | ÷0.979 | ×0.820 | ×0.993 | — | 6.09% |
| Triples /BIP | 0.00% | ÷0.934 | ×0.940 | ×0.993 | — | 0.00% |
| Home runs /BIP | 1.83% | ÷0.890 | ×0.820 | — | — | 1.69% |
Factors used: league row SAL. Park (home-season share, regressed): HR 78, 1B 111, 2B 96, 3B 87, K 111, BB 93 — 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 ×0.993.
Result: wOBA .292 → .243; ISO .101 → .089; BABIP .292 → .250. 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).