Elehuris Montero

Pos1B
B/TR/R
Born1998-08-17
Age (2027)28
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2024
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202223AAA/INTL2 orgs437.277/.375/.465176100—.252/.331/.412
202223MLBCOL185.233/.270/.43260830.4
202324AAA/INTL2 orgs292.295/.361/.512150102—.288/.342/.527
202324MLBCOL307.243/.293/.42611088-1.5
202425AAACOL297.309/.400/.582161101—.238/.305/.413
202425MLBCOL247.205/.270/.3044056-2.3
202526No MLB games played
202627No MLB games played
Last 3 seasons WAR -3.5
Contract
No contract data on file.
Skills · percentileStatcast 2022-2024
Bat Spd86
Avg EV49
Barrel%45
Speed23
xwOBA12

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)
201516 ROKDSL Cardinals — 265230 58913 26563 01 252336339675 87311 2110 304 20 — — — — — —
201617 ROKDSL Cardinals — 262227 591421 28514 21 260351352704 93328 1911 320 24 — — — — — —
201718 ROKGCL Cardinals — 208173 481615 22337 02 277381468849 191305 1611 368 68 — — — — — —
201819 A+Palm Beach Cardinals — 10698 28901 5222 10 286333408741 122355 215 329 80 — — — — — —
201819 APeoria Chiefs — 425382 12328315 33816 20 322385529914 207372 198 398 105 — — — — — —
201920 AASpringfield Cardinals — 238224 42807 14740 01 188235317552 129245 316 248 12 — — — — — —
201920 ROKGCL Cardinals — 1513 4000 121 00 308400308708 364 137 337 54 — — — — — —
201920 INTLGlendale Desert Dogs — 6050 10310 9171 10 200333300633 100303 2815 299 88 — — — — — —
202122 AAAAlbuquerque Isotopes — 121108 30916 10203 00 278355546902 269293 178 393 89 — — — — — —
202122 AAHartford Yard Goats — 379323 9011122 43904 00 279370523893 245309 2411 383 101 — — — — — —
202122 INTLEstrellas Orientales — 158140 31412 16350 10 221301307608 86276 2210 277 74 — — — — — —
202223 MLBColorado Rockies — 185176 411516 8601 00 233270432702 199318 324 307 83 -4 +0 +1 +2 +4 0.4
202223 AAAAlbuquerque Isotopes — 297255 7910215 276310 42 310396541937 231354 219 406 107 — — — — — —
202223 INTLEstrellas Orientales — 140117 24502 22260 21 205331299630 94244 1916 295 86 — — — — — —
202324 MLBColorado Rockies — 307284 6915211 151115 00 243293426719 183352 365 315 88 -4 +0 -6 -11 +7 -1.5
202324 AAAAlbuquerque Isotopes — 163142 516015 14282 01 3594247181.142 359346 179 474 140 — — — — — —
202324 INTLAguilas Cibaenas — 129116 25500 11230 01 216283259542 43263 189 250 55 — — — — — —
202425 MLBColorado Rockies — 247224 461004 20560 00 205270304574 98251 238 259 56 -13 +0 -6 -10 +5 -2.3
202425 AAAAlbuquerque Isotopes — 297256 7916316 36783 10 309400582982 273384 2612 424 101 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 739684 15640321 432276 00 228280387667 159305 316 294 85 -13 +0 -11 -18 +16 -2.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201516 ROK MLEDSL Cardinals — 265237 37511 19683 01 156228198426 42199 267 198 20 — — — — — —
201617 ROK MLEDSL Cardinals — 262235 37810 20624 21 157236200436 43206 248 203 24 — — — — — —
201718 ROK MLEGCL Cardinals — 208182 371114 13477 02 203282341623 137226 236 269 68 — — — — — —
201819 A+ MLEPalm Beach Cardinals — 106100 25901 3302 10 250286370656 120339 283 286 80 — — — — — —
201819 A MLEPeoria Chiefs — 425392 10423312 231076 20 265316431747 166328 255 323 105 — — — — — —
201920 AA MLESpringfield Cardinals — 238227 34605 11920 01 150189242431 93219 395 186 12 — — — — — —
201920 ROK MLEGCL Cardinals — 1513 3000 131 00 231333231564 294 207 248 54 — — — — — —
202122 AAA MLEAlbuquerque Isotopes — 121111 25814 7253 00 225289423713 198256 216 300 89 — — — — — —
202122 AA MLEHartford Yard Goats — 379336 7910118 301084 00 235305432737 196266 288 317 101 — — — — — —
202223 MLB MLEColorado Rockies — 185176 381415 8601 00 216254392646 176318 324 291 83 -4 +0 +1 +2 +4 0.4
202223 AAA MLEAlbuquerque Isotopes — 297262 668210 217610 42 252331412743 160305 267 326 107 — — — — — —
202324 MLB MLEColorado Rockies — 307284 6514110 151115 00 229280391670 162352 365 298 88 -4 +0 -6 -11 +7 -1.5
202324 AAA MLEAlbuquerque Isotopes — 163146 425010 10362 01 288342527869 240292 226 375 140 — — — — — —
202425 MLB MLEColorado Rockies — 247224 451004 20560 00 201266299566 98251 238 252 56 -13 +0 -6 -10 +5 -2.3
202425 AAA MLEAlbuquerque Isotopes — 297269 6413210 23963 10 238305413718 175327 328 318 101 — — — — — —
201516 ROK MLEDSL Cardinals — 265237 37511 19683 01 156228198426 42207 267 198 20 — — — — — —
201516 ROK RAWDSL Cardinals — 265230 58913 26563 01 252336339675 87311 2110 304 20 — — — — — —
201617 ROK MLEDSL Cardinals — 262235 37810 20624 21 157236200436 43211 248 203 24 — — — — — —
201617 ROK RAWDSL Cardinals — 262227 591421 28514 21 260351352704 93328 1911 320 24 — — — — — —
201718 ROK MLEGCL Cardinals — 208182 371114 13477 02 203282341623 137241 236 269 68 — — — — — —
201718 ROK RAWGCL Cardinals — 208173 481615 22337 02 277381468849 191305 1611 368 68 — — — — — —
201819 A MLE2 teams — 531492 13032313 261378 30 264312421733 157337 265 316 100 — — — — — —
201819 A RAW2 teams — 531480 15137316 381038 30 315375504879 190369 197 384 100 — — — — — —
201920 AA MLE3 teams — 313297 45706 141172 11 152195236431 84224 374 190 15 — — — — — —
201920 AA RAW3 teams — 313287 561117 24932 11 195262314576 118262 308 262 15 — — — — — —
202122 AA MLE3 teams — 658591 13723229 491757 10 232298425723 193271 277 313 98 — — — — — —
202122 AA RAW3 teams — 658571 15124330 691457 10 264351475825 210297 2210 359 98 — — — — — —
202223 AAA MLE3 teams — 622569 13629320 3717611 63 239298406704 167307 286 313 98 — — — — — —
202223 AAA RAW3 teams — 622548 14430323 5714911 63 263344454798 192318 249 352 98 — — — — — —
202324 MLB MLE3 teams — 599550 13825226 321877 02 251301445746 195323 315 325 106 +4 -1 -6 -11 +13 -0.1
202324 MLB RAW3 teams — 599542 14526226 401627 02 268326467793 199327 277 344 106 +4 -1 -6 -11 +13 -0.1
202425 AAA MLE2 teams — 544493 10822214 431523 10 219286357643 138283 288 288 81 — — — — — —
202425 AAA RAW2 teams — 544480 12526320 561343 10 260341452793 192317 2510 349 81 — — — — — —
201516 ROK MLEDSL Cardinals — 265241 37511 19683 01 154228195423 41199 267 198 20 — — — — — —
201617 ROK MLEDSL Cardinals — 262236 37810 20624 21 157236199435 42206 248 203 24 — — — — — —
201718 ROK MLEGCL Cardinals — 208186 371114 13477 02 199282333616 134226 236 269 68 — — — — — —
201819 A MLE2 teams — 531492 13032313 261378 30 264312421733 157330 265 316 100 — — — — — —
201920 AA MLE3 teams — 313294 45706 141172 11 153195238433 85223 374 190 15 — — — — — —
202122 AA MLE3 teams — 658597 13723229 491757 10 229298420719 191264 277 313 98 — — — — — —
202223 AAA MLE3 teams — 622569 13629320 3717611 63 239298406704 167310 286 313 98 — — — — — —
202324 MLB MLE3 teams — 599555 13825226 321877 02 249301441742 193331 315 325 106 — — — — — —
202425 AAA MLE2 teams — 544493 10822214 431523 10 219286357643 138293 288 288 81 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202425 AAA MLE2 teams — 544493 10822214 431523 10 219286357643 138293 288 288 81 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 739684 15640321 432276 00 228280387667 159305 316 294 79 -13 +0 -11 -18 +16 -2.7
/ 162G— A+C — 650602 13735318 382005 00 228279385664 158306 316 294 79 -11 +0 -10 -16 +14 -2.3
Career— MLE — 40023646 80516215113 253112152 1410 221281366647 146281 286 285 79 -13 +0 -11 -18 +16 -2.7
/ 162G— MLE — 650592 13026218 411828 22 220279361640 142280 286 285 79 -11 +0 -10 -16 +14 -2.3

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.

2024 AAAAlbuquerque Isotopes · 297 PAwOBA .412 → .318 (−94)K% 26.3% → 32.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.26%÷0.979×1.200——32.19%
BB% (unintentional) /PA11.11%÷1.018×0.690—×1.0187.67%
HBP% /PA1.01%—×0.940—×1.0180.97%
Singles /BIP24.72%÷0.990×0.930×0.950×1.01822.47%
Doubles /BIP8.99%÷0.988×0.830×0.950×1.0187.30%
Triples /BIP1.69%÷1.150×0.970×0.950×1.0181.37%
Home runs /BIP8.99%÷1.096×0.700—×1.0185.85%

Factors used: league row International League. Park (home-season share, regressed): HR 119, 1B 98, 2B 98, 3B 130, K 96, BB 104 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .412 → .318; ISO .273 → .189; BABIP .384 → .327. 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).

2023 AAAAlbuquerque Isotopes · 163 PAwOBA .475 → .375 (−100)K% 17.2% → 21.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.18%÷0.947×1.200——21.77%
BB% (unintentional) /PA8.59%÷0.984×0.690—×1.0336.22%
HBP% /PA1.23%—×0.940—×1.0331.19%
Singles /BIP26.32%÷1.018×0.930×0.950×1.03323.58%
Doubles /BIP5.26%÷1.002×0.830×0.950×1.0334.28%
Triples /BIP0.00%÷1.150×0.970×0.950×1.0330.00%
Home runs /BIP13.16%÷1.062×0.700—×1.0338.96%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 104, 2B 100, 3B 130, K 89, BB 97 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .475 → .375; ISO .359 → .253; BABIP .346 → .292. 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).

2022 AAAAlbuquerque Isotopes · 297 PAwOBA .400 → .326 (−74)K% 21.2% → 25.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.21%÷0.995×1.200——25.57%
BB% (unintentional) /PA9.09%÷0.945×0.690—×1.0486.96%
HBP% /PA3.37%—×0.940—×1.0483.32%
Singles /BIP27.08%÷1.047×0.930×0.966×1.04824.35%
Doubles /BIP5.21%÷1.038×0.830×0.966×1.0484.21%
Triples /BIP1.04%÷1.150×0.970×0.966×1.0480.89%
Home runs /BIP7.81%÷1.061×0.700—×1.0485.40%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 109, 2B 108, 3B 130, K 99, BB 89 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.966.

Result: wOBA .400 → .326; ISO .231 → .166; BABIP .354 → .305. 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).

2021 AAHartford Yard Goats · 379 PAwOBA .382 → .317 (−64)K% 23.7% → 28.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.75%÷1.022×1.220——28.35%
BB% (unintentional) /PA11.35%÷1.020×0.690—×1.0277.88%
HBP% /PA1.06%—×0.850—×1.0270.92%
Singles /BIP24.03%÷1.047×0.940×0.955×1.02721.18%
Doubles /BIP4.72%÷1.010×0.870×0.955×1.0273.99%
Triples /BIP0.43%÷0.956×0.920×0.955×1.0270.41%
Home runs /BIP9.44%÷0.990×0.780—×1.0277.64%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 98, 1B 109, 2B 102, 3B 91, K 104, BB 104 — 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 ×0.955.

Result: wOBA .382 → .317; ISO .245 → .204; BABIP .309 → .266. 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).

2021 AAAAlbuquerque Isotopes · 121 PAwOBA .382 → .300 (−81)K% 16.5% → 20.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.53%÷0.958×1.200——20.71%
BB% (unintentional) /PA8.26%÷1.032×0.690—×1.0505.80%
HBP% /PA2.48%—×0.940—×1.0502.45%
Singles /BIP15.91%÷1.110×0.930×1.022×1.05014.30%
Doubles /BIP10.23%÷0.988×0.830×1.022×1.0509.21%
Triples /BIP1.14%÷1.150×0.920×1.022×1.0500.98%
Home runs /BIP6.82%÷1.172×0.700—×1.0504.27%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 134, 1B 122, 2B 98, 3B 130, K 92, BB 106 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .382 → .300; ISO .269 → .191; BABIP .293 → .256. 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).

2019 AASpringfield Cardinals · 238 PAwOBA .241 → .186 (−55)K% 31.1% → 38.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA31.09%÷0.985×1.220——38.52%
BB% (unintentional) /PA5.88%÷0.965×0.700—×1.0504.48%
HBP% /PA0.00%—×0.870—×1.0500.00%
Singles /BIP18.00%÷0.974×0.920×0.950×1.05016.96%
Doubles /BIP5.33%÷1.070×0.840×0.950×1.0504.18%
Triples /BIP0.00%÷1.108×0.940×0.950×1.0500.00%
Home runs /BIP4.67%÷1.108×0.800—×1.0503.54%

Factors used: league row TL. Park (home-season share, regressed): HR 122, 1B 95, 2B 114, 3B 122, K 97, BB 93 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .241 → .186; ISO .129 → .090; BABIP .245 → .219. 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).

2019 ROKGCL Cardinals · 15 PAwOBA .329 → .248 (−80)K% 13.3% → 19.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.33%÷1.000×1.440——19.20%
BB% (unintentional) /PA6.67%÷1.000×0.620—×0.9854.07%
HBP% /PA6.67%—×0.720—×0.9854.73%
Singles /BIP36.36%÷1.000×0.820—×0.98529.37%
Doubles /BIP0.00%÷1.000×0.720—×0.9850.00%
Triples /BIP0.00%÷1.000×0.720—×0.9850.00%
Home runs /BIP0.00%÷1.000×0.780—×0.9850.00%

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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .329 → .248; ISO .000 → .000; BABIP .364 → .294. 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 APeoria Chiefs · 425 PAwOBA .390 → .323 (−67)K% 19.1% → 25.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.06%÷1.030×1.360——25.16%
BB% (unintentional) /PA7.53%÷0.987×0.690—×1.0305.42%
HBP% /PA1.41%—×0.780—×1.0301.13%
Singles /BIP25.58%÷1.041×0.920×0.983×1.03022.88%
Doubles /BIP9.30%÷0.968×0.830×0.983×1.0308.08%
Triples /BIP1.00%÷0.948×0.910×0.983×1.0300.97%
Home runs /BIP4.98%÷0.981×0.800—×1.0304.19%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 96, 1B 108, 2B 94, 3B 90, K 106, BB 97 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.983.

Result: wOBA .390 → .323; ISO .207 → .171; BABIP .372 → .328. 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 — .