Gerson Montilla

Pos2B
B/TR/R
Born1989-11-13
Age (2027)37
No MLB projection yet. Career stats below are historical.
Overview
A+LAST SEASON 2016
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201424AA/INTL2 orgs431.258/.314/.3566156—.228/.272/.318
201525AA/A+/INTL3 orgs476.259/.330/.44419966—.206/.259/.354
201626A+/INTL2 orgs579.262/.339/.38613456—.212/.260/.305
Contract
No contract data on file.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.
basis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral
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.

YearAge LvlTeam MLB% PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
200818 ROKDSL Diamondbacks — 245213 531020 24397 910 249344315659 66303 1610 306 20 — — — — — —
201020 AAMobile BayBears — 5750 9400 5100 00 180255260515 80225 189 231 31 — — — — — —
201020 A+Visalia Rawhide — 196170 42901 13505 30 247319318637 71342 267 282 50 — — — — — —
201121 ASouth Bend Silver Hawks — 268244 572027 14496 73 234292418710 184262 185 310 47 — — — — — —
201222 A+Visalia Rawhide — 279259 7313110 14391 32 282321456777 174300 145 337 66 — — — — — —
201222 ASouth Bend Silver Hawks — 299263 772334 32382 74 293374449822 156327 1311 365 80 — — — — — —
201323 A+Visalia Rawhide — 607542 15328219 431062 82 282337446784 164317 177 337 62 — — — — — —
201323 INTLBravos de Margarita — 5952 11310 690 00 212293308601 96256 1510 271 70 — — — — — —
201424 AAMobile BayBears — 376337 911336 27653 16 270330380710 110311 177 313 63 — — — — — —
201424 INTLBravos de Margarita — 5551 9100 2120 01 176208196404 20225 224 180 8 — — — — — —
201525 AAMobile BayBears — 231200 45708 26374 33 225326380706 155237 1611 320 53 — — — — — —
201525 A+Visalia Rawhide — 196183 5711010 11410 62 311351536886 224351 216 384 80 — — — — — —
201525 INTLBravos de Margarita — 4945 9211 470 00 200265356621 156216 148 277 74 — — — — — —
201626 A+Winston-Salem Dash — 563496 13220213 51764 43 266339393733 127285 139 324 56 — — — — — —
201626 INTLBravos de Margarita — 1612 1000 410 00 8331283396 91 625 231 42 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200818 ROK MLEDSL Diamondbacks — 245220 34610 17487 910 155238191429 36195 207 198 20 — — — — — —
201020 AA MLEMobile BayBears — 5751 9400 4120 00 176236255491 78227 217 214 31 — — — — — —
201020 A+ MLEVisalia Rawhide — 196174 39801 9655 30 224282287569 63321 335 242 50 — — — — — —
201121 A MLESouth Bend Silver Hawks — 268250 461516 8686 73 184227324551 140216 253 237 47 — — — — — —
201222 A+ MLEVisalia Rawhide — 279263 61919 10511 32 232263376639 144248 184 266 66 — — — — — —
201222 A MLESouth Bend Silver Hawks — 299276 661834 19522 74 239293370662 130275 176 286 80 — — — — — —
201323 A+ MLEVisalia Rawhide — 607559 12621115 261442 82 225262347609 122261 244 260 62 — — — — — —
201424 AA MLEMobile BayBears — 376346 791225 18803 16 228272318590 90267 215 261 63 — — — — — —
201525 AA MLEMobile BayBears — 231209 38606 17464 33 182257297553 115203 207 246 53 — — — — — —
201525 A+ MLEVisalia Rawhide — 196187 44809 7550 62 235263422685 187272 284 287 80 — — — — — —
201626 A+ MLEWinston-Salem Dash — 563518 11016110 291154 43 212260305565 93241 205 251 56 — — — — — —
200818 ROK MLEDSL Diamondbacks — 245220 34610 17487 910 155238191429 36197 207 198 20 — — — — — —
200818 ROK RAWDSL Diamondbacks — 245213 531020 24397 910 249344315659 66303 1610 306 20 — — — — — —
201020 A+ MLE2 teams — 253225 481201 13775 30 213272280552 67318 305 236 46 — — — — — —
201020 A+ RAW2 teams — 253220 511301 18605 30 232305305609 73312 247 271 46 — — — — — —
201121 A MLESouth Bend Silver Hawks — 268250 461516 8686 73 184227324551 140223 253 237 47 — — — — — —
201121 A RAWSouth Bend Silver Hawks — 268244 572027 14496 73 234292418710 184262 185 310 47 — — — — — —
201222 A MLE2 teams — 578539 12527312 291033 106 232275360635 128265 185 276 73 — — — — — —
201222 A RAW2 teams — 578522 15036414 46773 106 287349452801 165314 138 351 73 — — — — — —
201323 A+ MLE2 teams — 666614 13823117 291592 82 225262349611 124273 244 260 62 — — — — — —
201323 A+ RAW2 teams — 666594 16431319 491152 82 276333434768 158311 177 331 62 — — — — — —
201424 AA MLE2 teams — 431397 921436 20913 17 232274327601 96279 215 261 63 — — — — — —
201424 AA RAW2 teams — 431388 1001436 29773 17 258314356670 98300 187 296 63 — — — — — —
201525 AA MLE3 teams — 476442 9116016 271134 95 206258351609 145237 246 265 65 — — — — — —
201525 AA RAW3 teams — 476428 11120119 41854 95 259330444774 185281 189 342 65 — — — — — —
201626 A+ MLE2 teams — 579533 11316110 301184 43 212259302561 90248 205 251 56 — — — — — —
201626 A+ RAW2 teams — 579508 13320213 55774 43 262339386724 124280 139 321 56 — — — — — —
200818 ROK MLEDSL Diamondbacks — 245219 34610 17487 910 155238192429 37195 207 198 20 — — — — — —
201020 A+ MLE2 teams — 253233 481201 13775 30 206272270542 64300 305 236 46 — — — — — —
201121 A MLESouth Bend Silver Hawks — 268252 461516 8686 73 183227321549 139216 253 237 47 — — — — — —
201222 A MLE2 teams — 578541 12527312 291033 106 231275359634 128262 185 276 73 — — — — — —
201323 A+ MLE2 teams — 666630 13823117 291592 82 219262340602 121261 244 260 62 — — — — — —
201424 AA MLE2 teams — 431405 921436 20913 17 227274321595 94267 215 261 63 — — — — — —
201525 AA MLE3 teams — 476442 9116016 271134 95 206258351609 145235 246 265 65 — — — — — —
201626 A+ MLE2 teams — 579540 11316110 301184 43 209259298557 89241 205 251 56 — — — — — —
▸ Career Totals
Career— MLE — 34963220 6871291068 17377734 5136 213261323584 110257 225 254 58 -174 -4 +0 +12 +76 -9.2
/ 162G— MLE — 650599 12824213 321446 97 214261326586 112256 225 254 58 -32 -1 +0 +2 +14 -1.7

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+Winston-Salem Dash · 563 PAwOBA .320 → .251 (−69)K% 13.5% → 20.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.50%÷0.938×1.420——20.43%
BB% (unintentional) /PA8.53%÷0.996×0.630—×0.9585.16%
HBP% /PA0.71%—×0.860—×0.9580.59%
Singles /BIP23.10%÷0.994×0.940×0.958×0.95820.04%
Doubles /BIP4.76%÷0.970×0.830×0.958×0.9583.74%
Triples /BIP0.48%÷1.013×0.800×0.958×0.9580.35%
Home runs /BIP3.10%÷1.098×0.900—×0.9582.43%

Factors used: league row CAR. Park (home-season share, regressed): HR 120, 1B 99, 2B 94, 3B 103, K 88, BB 99 — applied at half strength. Age: age 27 vs a level average of 22.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.958.

Result: wOBA .320 → .251; ISO .127 → .098; BABIP .285 → .241. 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 AAMobile BayBears · 231 PAwOBA .313 → .246 (−67)K% 16.0% → 20.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.02%÷0.975×1.220——20.03%
BB% (unintentional) /PA11.26%÷1.043×0.680—×0.9887.25%
HBP% /PA1.73%—×0.840—×0.9881.44%
Singles /BIP18.40%÷1.011×0.920×0.959×0.98815.87%
Doubles /BIP4.29%÷0.961×0.910×0.959×0.9883.86%
Triples /BIP0.00%÷0.921×0.880×0.959×0.9880.00%
Home runs /BIP4.91%÷1.098×0.800—×0.9883.53%

Factors used: league row SL. Park (home-season share, regressed): HR 120, 1B 102, 2B 92, 3B 84, K 95, BB 109 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.959.

Result: wOBA .313 → .246; ISO .155 → .119; BABIP .237 → .203. 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+Visalia Rawhide · 196 PAwOBA .376 → .287 (−90)K% 20.9% → 28.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.92%÷1.002×1.340——27.96%
BB% (unintentional) /PA5.61%÷1.057×0.710—×0.9683.65%
HBP% /PA0.00%—×0.790—×0.9680.00%
Singles /BIP25.35%÷1.058×0.910×0.950×0.96820.06%
Doubles /BIP7.75%÷1.007×0.820×0.950×0.9685.80%
Triples /BIP0.00%÷0.913×0.760×0.950×0.9680.00%
Home runs /BIP7.04%÷0.973×0.920—×0.9686.44%

Factors used: league row CAL. Park (home-season share, regressed): HR 95, 1B 112, 2B 101, 3B 83, K 100, BB 111 — applied at half strength. Age: age 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .376 → .287; ISO .224 → .184; BABIP .351 → .272. 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 AAMobile BayBears · 376 PAwOBA .310 → .261 (−50)K% 17.3% → 21.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.29%÷0.993×1.220——21.23%
BB% (unintentional) /PA7.18%÷1.030×0.680—×0.9984.73%
HBP% /PA0.80%—×0.840—×0.9980.67%
Singles /BIP25.37%÷1.018×0.920×0.950×0.99821.74%
Doubles /BIP4.78%÷0.965×0.910×0.950×0.9984.27%
Triples /BIP1.10%÷1.038×0.880×0.950×0.9980.89%
Home runs /BIP2.21%÷0.902×0.800—×0.9981.95%

Factors used: league row SL. Park (home-season share, regressed): HR 80, 1B 104, 2B 93, 3B 108, K 99, BB 106 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .310 → .261; ISO .110 → .097; BABIP .311 → .267. 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).

2013 A+Visalia Rawhide · 607 PAwOBA .331 → .260 (−70)K% 17.5% → 23.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.46%÷0.981×1.340——23.85%
BB% (unintentional) /PA7.08%÷1.156×0.710—×0.9884.30%
HBP% /PA0.33%—×0.790—×0.9880.26%
Singles /BIP23.85%÷1.029×0.910×0.978×0.98820.38%
Doubles /BIP6.42%÷1.043×0.820×0.978×0.9884.88%
Triples /BIP0.46%÷1.087×0.760×0.978×0.9880.31%
Home runs /BIP4.36%÷1.118×0.920—×0.9883.54%

Factors used: league row CAL. Park (home-season share, regressed): HR 124, 1B 106, 2B 109, 3B 117, K 96, BB 131 — 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 ×0.978.

Result: wOBA .331 → .260; ISO .164 → .129; BABIP .317 → .261. 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).

2012 ASouth Bend Silver Hawks · 299 PAwOBA .355 → .286 (−69)K% 12.7% → 17.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.71%÷1.000×1.360——17.28%
BB% (unintentional) /PA10.03%÷1.049×0.690—×0.9906.53%
HBP% /PA0.67%—×0.780—×0.9900.52%
Singles /BIP20.89%÷1.018×0.920×0.978×0.99018.28%
Doubles /BIP10.22%÷1.040×0.830×0.978×0.9907.90%
Triples /BIP1.33%÷0.997×0.910×0.978×0.9901.18%
Home runs /BIP1.78%÷0.903×0.800—×0.9901.56%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 80, 1B 104, 2B 108, 3B 99, K 100, BB 110 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.978.

Result: wOBA .355 → .286; ISO .156 → .129; BABIP .327 → .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).

2012 A+Visalia Rawhide · 279 PAwOBA .327 → .266 (−61)K% 14.0% → 18.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.98%÷1.021×1.340——18.35%
BB% (unintentional) /PA5.02%÷1.004×0.710—×0.9983.54%
HBP% /PA0.36%—×0.790—×0.9980.28%
Singles /BIP22.27%÷1.025×0.910×0.973×0.99819.20%
Doubles /BIP5.91%÷1.112×0.820×0.973×0.9984.23%
Triples /BIP0.45%÷0.900×0.760×0.973×0.9980.37%
Home runs /BIP4.55%÷1.044×0.920—×0.9984.00%

Factors used: league row CAL. Park (home-season share, regressed): HR 109, 1B 105, 2B 122, 3B 80, K 104, 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 ×0.973.

Result: wOBA .327 → .266; ISO .174 → .142; BABIP .300 → .248. 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).

2011 ASouth Bend Silver Hawks · 268 PAwOBA .302 → .237 (−65)K% 18.3% → 25.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.28%÷0.977×1.360——25.44%
BB% (unintentional) /PA4.48%÷0.987×0.690——3.13%
HBP% /PA2.24%—×0.780——1.75%
Singles /BIP14.36%÷1.014×0.920×0.971—12.65%
Doubles /BIP10.26%÷1.062×0.830×0.971—7.78%
Triples /BIP1.03%÷1.150×0.910×0.971—0.79%
Home runs /BIP3.59%÷0.904×0.800——3.18%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 81, 1B 103, 2B 112, 3B 130, K 95, BB 97 — 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 ×0.971.

Result: wOBA .302 → .237; ISO .184 → .145; BABIP .262 → .216. 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 — .