Geoandry Montilla
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2015 | 19 | ROKDSL Mariners 1 | 172 | .333/.412/.520 | 5 | 5 | 55 | — | .192/.259/.276 |
| 2016 | 20 | ROKDSL Mariners 1 | 212 | .297/.414/.451 | 4 | 8 | 50 | — | .174/.276/.250 |
| 2017 | 21 | ROKAZL Mariners | 156 | .218/.325/.391 | 3 | 4 | 19 | — | .128/.201/.227 |
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 | 18 | ROK | VSL Mariners | — | 135 | 121 | 27 | 6 | 0 | 0 | 11 | 34 | 1 | 3 | 1 | 223 | 293 | 273 | 566 | 50 | 307 | 25 | 8 | 260 | 3 | — | — | — | — | — | — |
| 2015 | 19 | ROK | DSL Mariners 1 | — | 172 | 150 | 50 | 9 | 2 | 5 | 20 | 32 | 0 | 5 | 2 | 333 | 412 | 520 | 932 | 187 | 391 | 19 | 12 | 406 | 55 | — | — | — | — | — | — |
| 2016 | 20 | ROK | DSL Mariners 1 | — | 212 | 175 | 52 | 11 | 2 | 4 | 30 | 36 | 5 | 8 | 7 | 297 | 414 | 451 | 866 | 154 | 350 | 17 | 14 | 387 | 50 | — | — | — | — | — | — |
| 2017 | 21 | ROK | AZL Mariners | — | 156 | 133 | 29 | 10 | 2 | 3 | 18 | 49 | 3 | 4 | 2 | 218 | 325 | 391 | 716 | 173 | 317 | 31 | 12 | 319 | 19 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2014 | 18 | ROK MLE | VSL Mariners | — | 135 | 124 | 18 | 4 | 0 | 0 | 8 | 41 | 1 | 3 | 1 | 145 | 203 | 177 | 380 | 32 | 210 | 30 | 6 | 172 | 3 | — | — | — | — | — | — |
| 2015 | 19 | ROK MLE | DSL Mariners 1 | — | 172 | 156 | 30 | 5 | 1 | 2 | 14 | 39 | 0 | 5 | 2 | 192 | 259 | 276 | 534 | 83 | 243 | 23 | 8 | 249 | 55 | — | — | — | — | — | — |
| 2016 | 20 | ROK MLE | DSL Mariners 1 | — | 212 | 184 | 32 | 6 | 1 | 2 | 21 | 44 | 5 | 8 | 7 | 174 | 276 | 250 | 526 | 76 | 213 | 21 | 10 | 242 | 50 | — | — | — | — | — | — |
| 2017 | 21 | ROK MLE | AZL Mariners | — | 156 | 141 | 18 | 6 | 1 | 2 | 10 | 71 | 3 | 4 | 2 | 128 | 201 | 227 | 428 | 99 | 230 | 46 | 6 | 197 | 19 | — | — | — | — | — | — |
| 2014 | 18 | ROK MLE | VSL Mariners | — | 135 | 124 | 18 | 4 | 0 | 0 | 8 | 41 | 1 | 3 | 1 | 145 | 203 | 177 | 380 | 32 | 214 | 30 | 6 | 172 | 3 | — | — | — | — | — | — |
| 2014 | 18 | ROK RAW | VSL Mariners | — | 135 | 121 | 27 | 6 | 0 | 0 | 11 | 34 | 1 | 3 | 1 | 223 | 293 | 273 | 566 | 50 | 307 | 25 | 8 | 260 | 3 | — | — | — | — | — | — |
| 2015 | 19 | ROK MLE | DSL Mariners 1 | — | 172 | 156 | 30 | 5 | 1 | 2 | 14 | 39 | 0 | 5 | 2 | 192 | 259 | 276 | 534 | 83 | 239 | 23 | 8 | 249 | 55 | — | — | — | — | — | — |
| 2015 | 19 | ROK RAW | DSL Mariners 1 | — | 172 | 150 | 50 | 9 | 2 | 5 | 20 | 32 | 0 | 5 | 2 | 333 | 412 | 520 | 932 | 187 | 391 | 19 | 12 | 406 | 55 | — | — | — | — | — | — |
| 2016 | 20 | ROK MLE | DSL Mariners 1 | — | 212 | 184 | 32 | 6 | 1 | 2 | 21 | 44 | 5 | 8 | 7 | 174 | 276 | 250 | 526 | 76 | 214 | 21 | 10 | 242 | 50 | — | — | — | — | — | — |
| 2016 | 20 | ROK RAW | DSL Mariners 1 | — | 212 | 175 | 52 | 11 | 2 | 4 | 30 | 36 | 5 | 8 | 7 | 297 | 414 | 451 | 866 | 154 | 350 | 17 | 14 | 387 | 50 | — | — | — | — | — | — |
| 2017 | 21 | ROK MLE | AZL Mariners | — | 156 | 141 | 18 | 6 | 1 | 2 | 10 | 71 | 3 | 4 | 2 | 128 | 201 | 227 | 428 | 99 | 232 | 46 | 6 | 197 | 19 | — | — | — | — | — | — |
| 2017 | 21 | ROK RAW | AZL Mariners | — | 156 | 133 | 29 | 10 | 2 | 3 | 18 | 49 | 3 | 4 | 2 | 218 | 325 | 391 | 716 | 173 | 317 | 31 | 12 | 319 | 19 | — | — | — | — | — | — |
| 2014 | 18 | ROK MLE | VSL Mariners | — | 135 | 125 | 18 | 4 | 0 | 0 | 8 | 41 | 1 | 3 | 1 | 144 | 203 | 176 | 379 | 32 | 210 | 30 | 6 | 172 | 3 | — | — | — | — | — | — |
| 2015 | 19 | ROK MLE | DSL Mariners 1 | — | 172 | 156 | 30 | 5 | 1 | 2 | 14 | 39 | 0 | 5 | 2 | 192 | 259 | 276 | 534 | 83 | 243 | 23 | 8 | 249 | 55 | — | — | — | — | — | — |
| 2016 | 20 | ROK MLE | DSL Mariners 1 | — | 212 | 184 | 32 | 6 | 1 | 2 | 21 | 44 | 5 | 8 | 7 | 174 | 276 | 250 | 526 | 76 | 213 | 21 | 10 | 242 | 50 | — | — | — | — | — | — |
| 2017 | 21 | ROK MLE | AZL Mariners | — | 156 | 142 | 18 | 6 | 1 | 2 | 10 | 71 | 3 | 4 | 2 | 127 | 201 | 225 | 427 | 99 | 230 | 46 | 6 | 197 | 19 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 675 | 605 | 98 | 21 | 3 | 6 | 53 | 195 | 9 | 20 | 12 | 162 | 240 | 236 | 476 | 74 | 224 | 29 | 8 | 219 | 35 | -53 | -1 | +0 | +12 | +15 | -2.7 | |
| / 162G | — | MLE | — | 650 | 583 | 94 | 20 | 3 | 6 | 51 | 188 | 9 | 19 | 12 | 161 | 240 | 237 | 477 | 75 | 223 | 29 | 8 | 219 | 35 | -51 | -1 | +0 | +12 | +14 | -2.6 | |
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.
2017 ROKAZL Mariners · 156 PAwOBA .310 → .197 (−114)K% 31.4% → 45.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 31.41% | ÷1.000 | ×1.440 | — | — | 45.23% |
| BB% (unintentional) /PA | 10.90% | ÷1.000 | ×0.620 | — | ×0.985 | 6.66% |
| HBP% /PA | 1.92% | — | ×0.720 | — | ×0.985 | 1.36% |
| Singles /BIP | 16.67% | ÷1.000 | ×0.820 | ×0.963 | ×0.985 | 12.97% |
| Doubles /BIP | 11.90% | ÷1.000 | ×0.720 | ×0.963 | ×0.985 | 8.13% |
| Triples /BIP | 2.38% | ÷1.000 | ×0.720 | ×0.963 | ×0.985 | 1.63% |
| Home runs /BIP | 3.57% | ÷1.000 | ×0.780 | — | ×0.985 | 2.74% |
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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.963.
Result: wOBA .310 → .197; ISO .173 → .108; BABIP .317 → .230. 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 DSLDSL Mariners 1 · 212 PAwOBA .381 → .242 (−139)K% 17.0% → 20.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.98% | ÷1.000 | ×1.220 | — | — | 20.72% |
| BB% (unintentional) /PA | 14.15% | ÷1.000 | ×0.700 | — | ×0.985 | 9.76% |
| HBP% /PA | 2.36% | — | ×0.700 | — | ×0.985 | 1.63% |
| Singles /BIP | 25.18% | ÷1.000 | ×0.680 | ×0.953 | ×0.985 | 16.08% |
| Doubles /BIP | 7.91% | ÷1.000 | ×0.600 | ×0.953 | ×0.985 | 4.46% |
| Triples /BIP | 1.44% | ÷1.000 | ×0.600 | ×0.953 | ×0.985 | 0.81% |
| Home runs /BIP | 2.88% | ÷1.000 | ×0.470 | — | ×0.985 | 1.33% |
Factors used: level-wide DSL 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 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.953.
Result: wOBA .381 → .242; ISO .154 → .083; BABIP .350 → .213. 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 DSLDSL Mariners 1 · 172 PAwOBA .400 → .249 (−151)K% 18.6% → 22.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.60% | ÷1.000 | ×1.220 | — | — | 22.70% |
| BB% (unintentional) /PA | 11.63% | ÷1.000 | ×0.700 | — | ×0.995 | 8.10% |
| HBP% /PA | 0.00% | — | ×0.700 | — | ×0.995 | 0.00% |
| Singles /BIP | 28.81% | ÷1.000 | ×0.680 | ×0.965 | ×0.995 | 18.82% |
| Doubles /BIP | 7.63% | ÷1.000 | ×0.600 | ×0.965 | ×0.995 | 4.39% |
| Triples /BIP | 1.69% | ÷1.000 | ×0.600 | ×0.965 | ×0.995 | 0.98% |
| Home runs /BIP | 4.24% | ÷1.000 | ×0.470 | — | ×0.995 | 1.98% |
Factors used: level-wide DSL 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 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.965.
Result: wOBA .400 → .249; ISO .187 → .098; BABIP .391 → .243. 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 DSLVSL Mariners · 135 PAwOBA .256 → .172 (−83)K% 25.2% → 30.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.19% | ÷1.000 | ×1.220 | — | — | 30.73% |
| BB% (unintentional) /PA | 8.15% | ÷1.000 | ×0.700 | — | ×1.008 | 5.75% |
| HBP% /PA | 0.74% | — | ×0.700 | — | ×1.008 | 0.52% |
| Singles /BIP | 24.14% | ÷1.000 | ×0.680 | ×1.026 | ×1.008 | 16.96% |
| Doubles /BIP | 6.90% | ÷1.000 | ×0.600 | ×1.026 | ×1.008 | 4.28% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.600 | ×1.026 | ×1.008 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.470 | — | ×1.008 | 0.00% |
Factors used: level-wide DSL 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 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.026.
Result: wOBA .256 → .172; ISO .050 → .030; BABIP .307 → .210. 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).