Shane Mardirosian
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2016 | 20 | ACIN | 434 | .226/.292/.299 | 2 | 9 | 34 | — | .191/.241/.245 |
| 2017 | 21 | A+/ACIN | 201 | .241/.330/.351 | 3 | 4 | 56 | — | .208/.280/.310 |
| 2018 | 22 | A+CIN | 40 | .158/.179/.158 | 0 | 0 | -29 | — | .132/.154/.132 |
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 | 18 | ROK | AZL Reds | — | 138 | 122 | 20 | 2 | 3 | 0 | 12 | 25 | 4 | 5 | 4 | 164 | 261 | 230 | 490 | 66 | 206 | 18 | 9 | 234 | -2 | — | — | — | — | — | — |
| 2015 | 19 | ROK | Billings Mustangs | — | 174 | 155 | 46 | 9 | 3 | 2 | 10 | 35 | 3 | 12 | 5 | 297 | 351 | 432 | 783 | 135 | 367 | 20 | 6 | 337 | 57 | — | — | — | — | — | — |
| 2016 | 20 | A | Dayton Dragons | — | 434 | 394 | 89 | 13 | 5 | 2 | 29 | 79 | 8 | 9 | 9 | 226 | 292 | 299 | 592 | 74 | 276 | 18 | 7 | 271 | 34 | — | — | — | — | — | — |
| 2017 | 21 | A+ | Daytona Tortugas | — | 106 | 89 | 26 | 5 | 0 | 2 | 13 | 22 | 0 | 1 | 2 | 292 | 382 | 416 | 798 | 124 | 353 | 21 | 12 | 348 | 99 | — | — | — | — | — | — |
| 2017 | 21 | A | Dayton Dragons | — | 95 | 85 | 16 | 3 | 1 | 1 | 7 | 27 | 3 | 3 | 1 | 188 | 274 | 282 | 556 | 94 | 263 | 28 | 7 | 259 | 9 | — | — | — | — | — | — |
| 2018 | 22 | A+ | Daytona Tortugas | — | 40 | 38 | 6 | 0 | 0 | 0 | 0 | 10 | 1 | 0 | 1 | 158 | 179 | 158 | 337 | 214 | 25 | 0 | 154 | -29 | — | — | — | — | — | — | |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2014 | 18 | ROK MLE | AZL Reds | — | 138 | 127 | 15 | 1 | 2 | 0 | 7 | 36 | 4 | 5 | 4 | 118 | 188 | 157 | 346 | 39 | 169 | 26 | 5 | 165 | -2 | — | — | — | — | — | — |
| 2015 | 19 | ROK MLE | Billings Mustangs | — | 174 | 159 | 36 | 7 | 2 | 1 | 6 | 50 | 3 | 12 | 5 | 226 | 268 | 314 | 582 | 88 | 302 | 29 | 3 | 252 | 57 | — | — | — | — | — | — |
| 2016 | 20 | A MLE | Dayton Dragons | — | 434 | 404 | 77 | 11 | 4 | 1 | 19 | 109 | 8 | 9 | 9 | 191 | 241 | 245 | 486 | 54 | 253 | 25 | 4 | 218 | 34 | — | — | — | — | — | — |
| 2017 | 21 | A+ MLE | Daytona Tortugas | — | 106 | 92 | 25 | 5 | 0 | 2 | 10 | 31 | 0 | 1 | 2 | 272 | 343 | 391 | 734 | 120 | 346 | 29 | 9 | 315 | 99 | — | — | — | — | — | — |
| 2017 | 21 | A MLE | Dayton Dragons | — | 95 | 87 | 12 | 2 | 1 | 1 | 5 | 37 | 3 | 3 | 1 | 138 | 211 | 218 | 429 | 80 | 224 | 39 | 5 | 181 | 9 | — | — | — | — | — | — |
| 2018 | 22 | A+ MLE | Daytona Tortugas | — | 40 | 38 | 5 | 0 | 0 | 0 | 0 | 14 | 1 | 0 | 1 | 132 | 154 | 132 | 285 | 196 | 35 | 0 | 126 | -29 | — | — | — | — | — | — | |
| 2014 | 18 | ROK MLE | AZL Reds | — | 138 | 127 | 15 | 1 | 2 | 0 | 7 | 36 | 4 | 5 | 4 | 118 | 188 | 157 | 346 | 39 | 165 | 26 | 5 | 165 | -2 | — | — | — | — | — | — |
| 2014 | 18 | ROK RAW | AZL Reds | — | 138 | 122 | 20 | 2 | 3 | 0 | 12 | 25 | 4 | 5 | 4 | 164 | 261 | 230 | 490 | 66 | 206 | 18 | 9 | 234 | -2 | — | — | — | — | — | — |
| 2015 | 19 | ROK MLE | Billings Mustangs | — | 174 | 159 | 36 | 7 | 2 | 1 | 6 | 50 | 3 | 12 | 5 | 226 | 268 | 314 | 582 | 88 | 318 | 29 | 3 | 252 | 57 | — | — | — | — | — | — |
| 2015 | 19 | ROK RAW | Billings Mustangs | — | 174 | 155 | 46 | 9 | 3 | 2 | 10 | 35 | 3 | 12 | 5 | 297 | 351 | 432 | 783 | 135 | 367 | 20 | 6 | 337 | 57 | — | — | — | — | — | — |
| 2016 | 20 | A MLE | Dayton Dragons | — | 434 | 404 | 77 | 11 | 4 | 1 | 19 | 109 | 8 | 9 | 9 | 191 | 241 | 245 | 486 | 54 | 257 | 25 | 4 | 218 | 34 | — | — | — | — | — | — |
| 2016 | 20 | A RAW | Dayton Dragons | — | 434 | 394 | 89 | 13 | 5 | 2 | 29 | 79 | 8 | 9 | 9 | 226 | 292 | 299 | 592 | 74 | 276 | 18 | 7 | 271 | 34 | — | — | — | — | — | — |
| 2017 | 21 | A+ MLE | 2 teams | — | 201 | 179 | 36 | 7 | 1 | 2 | 15 | 69 | 3 | 4 | 3 | 201 | 274 | 285 | 559 | 84 | 306 | 34 | 7 | 252 | 56 | — | — | — | — | — | — |
| 2017 | 21 | A+ RAW | 2 teams | — | 201 | 174 | 42 | 8 | 1 | 3 | 20 | 49 | 3 | 4 | 3 | 241 | 330 | 351 | 681 | 109 | 312 | 24 | 10 | 306 | 56 | — | — | — | — | — | — |
| 2018 | 22 | A+ MLE | Daytona Tortugas | — | 40 | 38 | 5 | 0 | 0 | 0 | 0 | 14 | 1 | 0 | 1 | 132 | 154 | 132 | 285 | 208 | 35 | 0 | 126 | -29 | — | — | — | — | — | — | |
| 2018 | 22 | A+ RAW | Daytona Tortugas | — | 40 | 38 | 6 | 0 | 0 | 0 | 0 | 10 | 1 | 0 | 1 | 158 | 179 | 158 | 337 | 214 | 25 | 0 | 154 | -29 | — | — | — | — | — | — | |
| 2014 | 18 | ROK MLE | AZL Reds | — | 138 | 126 | 15 | 1 | 2 | 0 | 7 | 36 | 4 | 5 | 4 | 119 | 188 | 159 | 347 | 40 | 169 | 26 | 5 | 165 | -2 | — | — | — | — | — | — |
| 2015 | 19 | ROK MLE | Billings Mustangs | — | 174 | 163 | 36 | 7 | 2 | 1 | 6 | 50 | 3 | 12 | 5 | 221 | 268 | 307 | 575 | 86 | 302 | 29 | 3 | 252 | 57 | — | — | — | — | — | — |
| 2016 | 20 | A MLE | Dayton Dragons | — | 434 | 404 | 77 | 11 | 4 | 1 | 19 | 109 | 8 | 9 | 9 | 191 | 241 | 245 | 486 | 54 | 253 | 25 | 4 | 218 | 34 | — | — | — | — | — | — |
| 2017 | 21 | A+ MLE | 2 teams | — | 201 | 181 | 36 | 7 | 1 | 2 | 15 | 69 | 3 | 4 | 3 | 199 | 274 | 282 | 556 | 83 | 288 | 34 | 7 | 252 | 56 | — | — | — | — | — | — |
| 2018 | 22 | A+ MLE | Daytona Tortugas | — | 40 | 39 | 5 | 0 | 0 | 0 | 0 | 14 | 1 | 0 | 1 | 128 | 154 | 128 | 282 | 196 | 35 | 0 | 126 | -29 | — | — | — | — | — | — | |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 987 | 907 | 169 | 26 | 9 | 4 | 47 | 278 | 19 | 30 | 22 | 186 | 242 | 248 | 490 | 62 | 261 | 28 | 5 | 220 | 35 | -77 | -3 | +0 | +4 | +21 | -5.6 | |
| / 162G | — | MLE | — | 650 | 597 | 112 | 17 | 6 | 3 | 31 | 183 | 13 | 20 | 14 | 188 | 244 | 251 | 495 | 64 | 262 | 28 | 5 | 220 | 35 | -50 | -2 | +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.
2018 A+Daytona Tortugas · 40 PAwOBA .150 → .126 (−24)K% 25.0% → 34.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.00% | ÷1.035 | ×1.420 | — | — | 34.30% |
| BB% (unintentional) /PA | 0.00% | ÷0.994 | ×0.750 | — | ×0.998 | 0.00% |
| HBP% /PA | 2.50% | — | ×0.930 | — | ×0.998 | 2.32% |
| Singles /BIP | 21.43% | ÷1.006 | ×0.920 | — | ×0.998 | 19.56% |
| Doubles /BIP | 0.00% | ÷1.088 | ×0.960 | — | ×0.998 | 0.00% |
| Triples /BIP | 0.00% | ÷1.047 | ×0.810 | — | ×0.998 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.058 | ×0.880 | — | ×0.998 | 0.00% |
Factors used: league row FSL. Park (home-season share, regressed): HR 112, 1B 101, 2B 118, 3B 109, K 107, 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).
Result: wOBA .150 → .126; ISO .000 → .000; BABIP .214 → .196. 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).
2017 A+Daytona Tortugas · 106 PAwOBA .349 → .315 (−34)K% 20.8% → 29.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.75% | ÷0.996 | ×1.420 | — | — | 29.58% |
| BB% (unintentional) /PA | 12.26% | ÷0.964 | ×0.750 | — | ×1.012 | 9.66% |
| HBP% /PA | 0.00% | — | ×0.930 | — | ×1.012 | 0.00% |
| Singles /BIP | 28.36% | ÷0.981 | ×0.920 | ×1.033 | ×1.012 | 27.81% |
| Doubles /BIP | 7.46% | ÷1.009 | ×0.960 | ×1.033 | ×1.012 | 7.42% |
| Triples /BIP | 0.00% | ÷0.951 | ×0.810 | ×1.033 | ×1.012 | 0.00% |
| Home runs /BIP | 2.99% | ÷0.932 | ×0.880 | — | ×1.012 | 2.85% |
Factors used: league row FSL. Park (home-season share, regressed): HR 86, 1B 96, 2B 102, 3B 90, K 99, BB 93 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.033.
Result: wOBA .349 → .315; ISO .124 → .116; BABIP .353 → .346. 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).
2017 ADayton Dragons · 95 PAwOBA .252 → .181 (−72)K% 28.4% → 39.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.42% | ÷0.984 | ×1.360 | — | — | 39.27% |
| BB% (unintentional) /PA | 7.37% | ÷1.055 | ×0.690 | — | — | 4.82% |
| HBP% /PA | 3.16% | — | ×0.780 | — | — | 2.46% |
| Singles /BIP | 18.97% | ÷1.005 | ×0.920 | ×0.961 | — | 16.68% |
| Doubles /BIP | 5.17% | ÷0.999 | ×0.830 | ×0.961 | — | 4.13% |
| Triples /BIP | 1.72% | ÷1.150 | ×0.910 | ×0.961 | — | 1.31% |
| Home runs /BIP | 1.72% | ÷1.168 | ×0.800 | — | — | 1.18% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 134, 1B 101, 2B 100, 3B 130, K 97, BB 111 — 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 ×0.961.
Result: wOBA .252 → .181; ISO .094 → .061; BABIP .263 → .224. 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 ADayton Dragons · 434 PAwOBA .264 → .218 (−46)K% 18.2% → 25.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.20% | ÷0.986 | ×1.360 | — | — | 25.12% |
| BB% (unintentional) /PA | 6.45% | ÷1.052 | ×0.690 | — | ×1.015 | 4.30% |
| HBP% /PA | 1.84% | — | ×0.780 | — | ×1.015 | 1.46% |
| Singles /BIP | 21.90% | ÷1.021 | ×0.920 | ×1.018 | ×1.015 | 20.41% |
| Doubles /BIP | 4.13% | ÷0.966 | ×0.830 | ×1.018 | ×1.015 | 3.67% |
| Triples /BIP | 1.59% | ÷1.150 | ×0.910 | ×1.018 | ×1.015 | 1.30% |
| Home runs /BIP | 0.63% | ÷1.153 | ×0.800 | — | ×1.015 | 0.45% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 131, 1B 104, 2B 93, 3B 130, K 97, BB 110 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.
Result: wOBA .264 → .218; ISO .074 → .058; BABIP .276 → .253. 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 ROKBillings Mustangs · 174 PAwOBA .332 → .252 (−80)K% 20.1% → 29.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.11% | ÷1.000 | ×1.440 | — | — | 28.97% |
| BB% (unintentional) /PA | 5.75% | ÷1.000 | ×0.610 | — | ×0.995 | 3.49% |
| HBP% /PA | 1.72% | — | ×0.720 | — | ×0.995 | 1.24% |
| Singles /BIP | 26.67% | ÷1.000 | ×0.820 | ×1.050 | ×0.995 | 22.85% |
| Doubles /BIP | 7.50% | ÷1.000 | ×0.720 | ×1.050 | ×0.995 | 5.64% |
| Triples /BIP | 2.50% | ÷1.000 | ×0.720 | ×1.050 | ×0.995 | 1.88% |
| Home runs /BIP | 1.67% | ÷1.000 | ×0.750 | — | ×0.995 | 1.24% |
Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .332 → .252; ISO .135 → .098; BABIP .367 → .302. 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 Reds · 138 PAwOBA .229 → .165 (−63)K% 18.1% → 26.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.12% | ÷1.000 | ×1.440 | — | — | 26.09% |
| BB% (unintentional) /PA | 8.70% | ÷1.000 | ×0.620 | — | ×1.008 | 5.43% |
| HBP% /PA | 2.90% | — | ×0.720 | — | ×1.008 | 2.10% |
| Singles /BIP | 15.46% | ÷1.000 | ×0.820 | ×1.022 | ×1.008 | 13.05% |
| Doubles /BIP | 2.06% | ÷1.000 | ×0.720 | ×1.022 | ×1.008 | 1.53% |
| Triples /BIP | 3.09% | ÷1.000 | ×0.720 | ×1.022 | ×1.008 | 2.29% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×1.008 | 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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.
Result: wOBA .229 → .165; ISO .066 → .046; BABIP .206 → .169. 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).