Troy Montgomery
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2017 | 22 | AA/A+/A/INTL4 orgs | 520 | .264/.346/.399 | 8 | 18 | 74 | — | .235/.302/.346 |
| 2018 | 23 | AA/A+DET | 406 | .282/.390/.365 | 2 | 14 | 85 | — | .257/.333/.332 |
| 2019 | 24 | AADET | 63 | .151/.262/.245 | 1 | 0 | 9 | — | .143/.213/.232 |
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) | |||||||||||||||||||||||||||||||
| 2016 | 21 | A | Burlington Bees | — | 166 | 142 | 37 | 7 | 2 | 3 | 16 | 30 | 2 | 3 | 2 | 261 | 344 | 401 | 745 | 141 | 306 | 18 | 10 | 324 | 61 | — | — | — | — | — | — |
| 2016 | 21 | ROK | Orem Owlz | — | 113 | 88 | 30 | 3 | 2 | 4 | 15 | 20 | 3 | 10 | 4 | 341 | 453 | 557 | 1.010 | 216 | 406 | 18 | 13 | 417 | 93 | — | — | — | — | — | — |
| 2017 | 22 | AA | Mobile BayBears | — | 82 | 68 | 16 | 2 | 0 | 0 | 10 | 12 | 2 | 4 | 0 | 235 | 350 | 265 | 615 | 29 | 286 | 15 | 12 | 289 | 51 | — | — | — | — | — | — |
| 2017 | 22 | A+ | Inland Empire 66ers | — | 296 | 262 | 74 | 10 | 7 | 6 | 26 | 58 | 1 | 9 | 5 | 282 | 349 | 443 | 792 | 160 | 342 | 20 | 9 | 343 | 76 | — | — | — | — | — | — |
| 2017 | 22 | A | Burlington Bees | — | 56 | 43 | 11 | 1 | 1 | 2 | 12 | 4 | 0 | 2 | 1 | 256 | 418 | 465 | 883 | 209 | 243 | 7 | 21 | 389 | 106 | — | — | — | — | — | — |
| 2017 | 22 | INTL | Scottsdale Scorpions | — | 86 | 78 | 18 | 2 | 3 | 0 | 6 | 20 | 0 | 3 | 2 | 231 | 286 | 333 | 619 | 103 | 300 | 23 | 7 | 272 | 70 | — | — | — | — | — | — |
| 2018 | 23 | AA | Erie SeaWolves | — | 246 | 209 | 52 | 7 | 3 | 1 | 34 | 61 | 1 | 9 | 3 | 249 | 357 | 325 | 682 | 77 | 345 | 25 | 14 | 315 | 74 | — | — | — | — | — | — |
| 2018 | 23 | A+ | Lakeland Flying Tigers | — | 160 | 131 | 44 | 9 | 0 | 1 | 25 | 27 | 0 | 5 | 5 | 336 | 442 | 427 | 870 | 92 | 406 | 17 | 16 | 387 | 103 | — | — | — | — | — | — |
| 2019 | 24 | AA | Erie SeaWolves | — | 63 | 53 | 8 | 2 | 0 | 1 | 8 | 16 | 0 | 0 | 1 | 151 | 262 | 245 | 508 | 94 | 194 | 25 | 13 | 234 | 9 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2016 | 21 | A MLE | Burlington Bees | — | 166 | 147 | 33 | 6 | 2 | 2 | 11 | 43 | 2 | 3 | 2 | 224 | 287 | 333 | 621 | 109 | 275 | 26 | 7 | 258 | 61 | — | — | — | — | — | — |
| 2016 | 21 | ROK MLE | Orem Owlz | — | 113 | 95 | 24 | 2 | 1 | 3 | 8 | 29 | 3 | 10 | 4 | 253 | 330 | 389 | 720 | 137 | 301 | 26 | 7 | 305 | 93 | — | — | — | — | — | — |
| 2017 | 22 | AA MLE | Mobile BayBears | — | 82 | 71 | 15 | 2 | 0 | 0 | 7 | 15 | 2 | 4 | 0 | 211 | 300 | 239 | 539 | 28 | 257 | 18 | 9 | 244 | 51 | — | — | — | — | — | — |
| 2017 | 22 | A+ MLE | Inland Empire 66ers | — | 296 | 270 | 65 | 9 | 4 | 5 | 18 | 80 | 1 | 9 | 5 | 241 | 291 | 359 | 650 | 119 | 311 | 27 | 6 | 281 | 76 | — | — | — | — | — | — |
| 2017 | 22 | A MLE | Burlington Bees | — | 56 | 46 | 11 | 1 | 1 | 2 | 9 | 5 | 0 | 2 | 1 | 239 | 364 | 435 | 798 | 196 | 222 | 9 | 16 | 325 | 106 | — | — | — | — | — | — |
| 2018 | 23 | AA MLE | Erie SeaWolves | — | 246 | 220 | 52 | 7 | 3 | 1 | 23 | 75 | 1 | 9 | 3 | 236 | 311 | 309 | 621 | 73 | 347 | 30 | 9 | 278 | 74 | — | — | — | — | — | — |
| 2018 | 23 | A+ MLE | Lakeland Flying Tigers | — | 160 | 139 | 40 | 8 | 0 | 1 | 17 | 39 | 0 | 5 | 5 | 288 | 365 | 367 | 732 | 79 | 366 | 24 | 11 | 321 | 103 | — | — | — | — | — | — |
| 2019 | 24 | AA MLE | Erie SeaWolves | — | 63 | 56 | 8 | 2 | 0 | 1 | 5 | 20 | 0 | 0 | 1 | 143 | 213 | 232 | 445 | 89 | 180 | 32 | 8 | 181 | 9 | — | — | — | — | — | — |
| 2016 | 21 | A MLE | 2 teams | — | 279 | 242 | 56 | 8 | 3 | 5 | 19 | 72 | 5 | 13 | 6 | 231 | 301 | 351 | 652 | 120 | 305 | 26 | 7 | 277 | 74 | — | — | — | — | — | — |
| 2016 | 21 | A RAW | 2 teams | — | 279 | 230 | 67 | 10 | 4 | 7 | 31 | 50 | 5 | 13 | 6 | 291 | 387 | 461 | 848 | 170 | 343 | 18 | 11 | 361 | 74 | — | — | — | — | — | — |
| 2017 | 22 | A+ MLE | 4 teams | — | 520 | 464 | 109 | 13 | 7 | 8 | 41 | 119 | 3 | 18 | 8 | 235 | 301 | 345 | 646 | 110 | 297 | 23 | 8 | 280 | 75 | — | — | — | — | — | — |
| 2017 | 22 | A+ RAW | 4 teams | — | 520 | 451 | 119 | 15 | 11 | 8 | 54 | 94 | 3 | 18 | 8 | 264 | 346 | 399 | 746 | 135 | 315 | 18 | 10 | 328 | 75 | — | — | — | — | — | — |
| 2018 | 23 | AA MLE | 2 teams | — | 406 | 359 | 91 | 15 | 3 | 1 | 40 | 113 | 1 | 14 | 8 | 253 | 330 | 320 | 650 | 67 | 361 | 28 | 10 | 295 | 86 | — | — | — | — | — | — |
| 2018 | 23 | AA RAW | 2 teams | — | 406 | 340 | 96 | 16 | 3 | 2 | 59 | 88 | 1 | 14 | 8 | 282 | 390 | 365 | 755 | 82 | 370 | 22 | 15 | 343 | 86 | — | — | — | — | — | — |
| 2019 | 24 | AA MLE | Erie SeaWolves | — | 63 | 56 | 8 | 2 | 0 | 1 | 5 | 20 | 0 | 0 | 1 | 143 | 213 | 232 | 445 | 89 | 200 | 32 | 8 | 181 | 9 | — | — | — | — | — | — |
| 2019 | 24 | AA RAW | Erie SeaWolves | — | 63 | 53 | 8 | 2 | 0 | 1 | 8 | 16 | 0 | 0 | 1 | 151 | 262 | 245 | 508 | 94 | 194 | 25 | 13 | 234 | 9 | — | — | — | — | — | — |
| 2016 | 21 | A MLE | 2 teams | — | 279 | 253 | 56 | 8 | 3 | 5 | 19 | 72 | 5 | 13 | 6 | 221 | 301 | 336 | 637 | 115 | 286 | 26 | 7 | 277 | 74 | — | — | — | — | — | — |
| 2017 | 22 | A+ MLE | 4 teams | — | 520 | 471 | 109 | 13 | 7 | 8 | 41 | 119 | 3 | 18 | 8 | 231 | 301 | 340 | 641 | 108 | 289 | 23 | 8 | 280 | 75 | — | — | — | — | — | — |
| 2018 | 23 | AA MLE | 2 teams | — | 406 | 362 | 91 | 15 | 3 | 1 | 40 | 113 | 1 | 14 | 8 | 251 | 330 | 318 | 648 | 66 | 354 | 28 | 10 | 295 | 86 | — | — | — | — | — | — |
| 2019 | 24 | AA MLE | Erie SeaWolves | — | 63 | 58 | 8 | 2 | 0 | 1 | 5 | 20 | 0 | 0 | 1 | 138 | 213 | 224 | 437 | 86 | 180 | 32 | 8 | 181 | 9 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1268 | 1121 | 264 | 38 | 13 | 15 | 105 | 324 | 9 | 45 | 23 | 236 | 306 | 333 | 639 | 97 | 315 | 26 | 8 | 279 | 75 | -38 | -0 | +0 | -14 | +27 | -2.4 | |
| / 162G | — | MLE | — | 650 | 575 | 135 | 19 | 7 | 8 | 54 | 166 | 5 | 23 | 12 | 235 | 306 | 334 | 640 | 99 | 313 | 26 | 8 | 279 | 75 | -19 | -0 | +0 | -7 | +14 | -1.3 | |
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.
2019 AAErie SeaWolves · 63 PAwOBA .229 → .181 (−47)K% 25.4% → 31.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.40% | ÷0.994 | ×1.220 | — | — | 31.16% |
| BB% (unintentional) /PA | 12.70% | ÷1.050 | ×0.700 | — | ×0.998 | 8.45% |
| HBP% /PA | 0.00% | — | ×0.850 | — | ×0.998 | 0.00% |
| Singles /BIP | 13.51% | ÷0.978 | ×0.970 | — | ×0.998 | 13.37% |
| Doubles /BIP | 5.41% | ÷1.077 | ×0.860 | — | ×0.998 | 4.31% |
| Triples /BIP | 0.00% | ÷1.127 | ×0.950 | — | ×0.998 | 0.00% |
| Home runs /BIP | 2.70% | ÷1.294 | ×0.780 | — | ×0.998 | 1.63% |
Factors used: league row EL. Park (home-season share, regressed): HR 159, 1B 96, 2B 115, 3B 125, K 99, BB 110 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average).
Result: wOBA .229 → .181; ISO .094 → .066; BABIP .194 → .180. 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).
2018 AAErie SeaWolves · 246 PAwOBA .307 → .278 (−29)K% 24.8% → 30.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.80% | ÷0.999 | ×1.220 | — | — | 30.29% |
| BB% (unintentional) /PA | 13.41% | ÷1.007 | ×0.700 | — | ×1.012 | 9.44% |
| HBP% /PA | 0.41% | — | ×0.850 | — | ×1.012 | 0.35% |
| Singles /BIP | 27.70% | ÷1.016 | ×0.970 | ×1.050 | ×1.012 | 28.09% |
| Doubles /BIP | 4.73% | ÷0.974 | ×0.860 | ×1.050 | ×1.012 | 4.44% |
| Triples /BIP | 2.03% | ÷0.901 | ×0.950 | ×1.050 | ×1.012 | 2.27% |
| Home runs /BIP | 0.68% | ÷1.112 | ×0.780 | — | ×1.012 | 0.48% |
Factors used: league row EL. Park (home-season share, regressed): HR 122, 1B 103, 2B 95, 3B 80, K 100, BB 101 — 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 ×1.050.
Result: wOBA .307 → .278; ISO .077 → .073; BABIP .345 → .347. 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).
2018 A+Lakeland Flying Tigers · 160 PAwOBA .385 → .321 (−64)K% 16.9% → 24.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.88% | ÷0.987 | ×1.420 | — | — | 24.28% |
| BB% (unintentional) /PA | 15.62% | ÷1.097 | ×0.750 | — | ×0.988 | 10.56% |
| HBP% /PA | 0.00% | — | ×0.930 | — | ×0.988 | 0.00% |
| Singles /BIP | 32.69% | ÷0.974 | ×0.920 | ×0.964 | ×0.988 | 29.43% |
| Doubles /BIP | 8.65% | ÷0.995 | ×0.960 | ×0.964 | ×0.988 | 7.95% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.810 | ×0.964 | ×0.988 | 0.00% |
| Home runs /BIP | 0.96% | ÷1.277 | ×0.880 | — | ×0.988 | 0.65% |
Factors used: league row FSL. Park (home-season share, regressed): HR 155, 1B 95, 2B 99, 3B 130, K 97, BB 119 — 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 ×0.964.
Result: wOBA .385 → .321; ISO .092 → .079; BABIP .406 → .366. 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+Inland Empire 66ers · 296 PAwOBA .336 → .281 (−54)K% 19.6% → 26.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.59% | ÷0.975 | ×1.340 | — | — | 26.94% |
| BB% (unintentional) /PA | 8.78% | ÷1.003 | ×0.710 | — | ×0.998 | 6.21% |
| HBP% /PA | 0.34% | — | ×0.790 | — | ×0.998 | 0.27% |
| Singles /BIP | 25.00% | ÷0.955 | ×0.910 | ×0.997 | ×0.998 | 23.70% |
| Doubles /BIP | 4.90% | ÷0.891 | ×0.820 | ×0.997 | ×0.998 | 4.49% |
| Triples /BIP | 3.43% | ÷1.150 | ×0.760 | ×0.997 | ×0.998 | 2.26% |
| Home runs /BIP | 2.94% | ÷1.008 | ×0.920 | — | ×0.998 | 2.68% |
Factors used: league row CAL. Park (home-season share, regressed): HR 102, 1B 91, 2B 78, 3B 130, K 95, BB 101 — 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 ×0.997.
Result: wOBA .336 → .281; ISO .160 → .128; BABIP .342 → .311. 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 AAMobile BayBears · 82 PAwOBA .282 → .244 (−39)K% 14.6% → 17.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.63% | ÷0.998 | ×1.220 | — | — | 17.88% |
| BB% (unintentional) /PA | 12.20% | ÷0.986 | ×0.680 | — | ×1.027 | 8.64% |
| HBP% /PA | 2.44% | — | ×0.840 | — | ×1.027 | 2.10% |
| Singles /BIP | 25.00% | ÷1.018 | ×0.920 | ×0.991 | ×1.027 | 23.00% |
| Doubles /BIP | 3.57% | ÷1.204 | ×0.910 | ×0.991 | ×1.027 | 2.75% |
| Triples /BIP | 0.00% | ÷0.930 | ×0.880 | ×0.991 | ×1.027 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.896 | ×0.800 | — | ×1.027 | 0.00% |
Factors used: league row SL. Park (home-season share, regressed): HR 79, 1B 104, 2B 141, 3B 86, K 100, BB 97 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.991.
Result: wOBA .282 → .244; ISO .029 → .024; BABIP .286 → .257. 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 ABurlington Bees · 56 PAwOBA .374 → .325 (−49)K% 7.1% → 9.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 7.14% | ÷0.998 | ×1.360 | — | — | 9.74% |
| BB% (unintentional) /PA | 19.64% | ÷0.884 | ×0.690 | — | ×0.990 | 15.17% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×0.990 | 0.00% |
| Singles /BIP | 17.95% | ÷0.960 | ×0.920 | — | ×0.990 | 17.02% |
| Doubles /BIP | 2.56% | ÷1.166 | ×0.830 | — | ×0.990 | 1.81% |
| Triples /BIP | 2.56% | ÷0.900 | ×0.910 | — | ×0.990 | 2.57% |
| Home runs /BIP | 5.13% | ÷1.105 | ×0.800 | — | ×0.990 | 3.67% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 121, 1B 92, 2B 133, 3B 80, K 100, BB 77 — 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).
Result: wOBA .374 → .325; ISO .209 → .176; BABIP .243 → .222. 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 ABurlington Bees · 166 PAwOBA .319 → .258 (−61)K% 18.1% → 26.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.07% | ÷0.939 | ×1.360 | — | — | 26.17% |
| BB% (unintentional) /PA | 9.64% | ÷1.037 | ×0.690 | — | — | 6.41% |
| HBP% /PA | 1.20% | — | ×0.780 | — | — | 0.94% |
| Singles /BIP | 22.32% | ÷0.975 | ×0.920 | ×0.979 | — | 20.62% |
| Doubles /BIP | 6.25% | ÷0.976 | ×0.830 | ×0.979 | — | 5.21% |
| Triples /BIP | 1.79% | ÷0.900 | ×0.910 | ×0.979 | — | 1.77% |
| Home runs /BIP | 2.68% | ÷1.285 | ×0.800 | — | — | 1.67% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 157, 1B 95, 2B 95, 3B 80, K 88, BB 107 — 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 ×0.979.
Result: wOBA .319 → .258; ISO .141 → .107; BABIP .306 → .275. 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 ROKOrem Owlz · 113 PAwOBA .404 → .305 (−99)K% 17.7% → 25.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.70% | ÷1.000 | ×1.440 | — | — | 25.49% |
| BB% (unintentional) /PA | 12.39% | ÷1.000 | ×0.610 | — | ×0.975 | 7.37% |
| HBP% /PA | 2.65% | — | ×0.720 | — | ×0.975 | 1.86% |
| Singles /BIP | 30.88% | ÷1.000 | ×0.820 | ×0.966 | ×0.975 | 23.85% |
| Doubles /BIP | 4.41% | ÷1.000 | ×0.720 | ×0.966 | ×0.975 | 2.99% |
| Triples /BIP | 2.94% | ÷1.000 | ×0.720 | ×0.966 | ×0.975 | 1.99% |
| Home runs /BIP | 5.88% | ÷1.000 | ×0.750 | — | ×0.975 | 4.30% |
Factors used: league row PIO. 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.966.
Result: wOBA .404 → .305; ISO .216 → .167; BABIP .406 → .301. 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 — .