Luis Juarez

PosC
B/TR/R
Born1990-02-06
Age (2027)37
No MLB projection yet. Career stats below are historical.
Overview
INTLPROSPECT
MLB%0%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WAR
202333INTLMayos de Navo…259.270/.349/.40081115—
202434INTLMayos de Navo…237.227/.295/.3295179—
202535INTLTomateros de …72.182/.229/.3483055—
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. 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.

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)
200919 AAASultanes de Monterrey — 1816 6101 020 00 3753756251.000 250357 110 388 152 — — — — — —
201020 AAASultanes de Monterrey — 1715 3000 230 00 200294200494 250 1812 242 27 — — — — — —
201020 INTLAguilas de Mexicali — 7872 16302 370 10 222253347601 125219 94 257 60 — — — — — —
201121 AAASultanes de Monterrey — 10397 28504 4111 11 289324464787 175293 114 344 89 — — — — — —
201121 INTLAguilas de Mexicali — 8878 16403 7170 20 205271372642 167220 198 277 74 — — — — — —
201222 AAASultanes de Monterrey — 9788 26702 7162 00 295361443804 148343 167 360 88 — — — — — —
201222 INTLAguilas de Mexicali — 7069 21303 190 10 304314478793 174316 131 348 122 — — — — — —
201323 AAASultanes de Monterrey — 234216 641904 9262 10 296330440770 144319 114 332 81 — — — — — —
201323 INTLAguilas de Mexicali — 10091 19801 7100 00 209265330595 121222 107 263 64 — — — — — —
201424 INTLAguilas de Mexicali — 219196 511412 21210 12 260332372704 112280 1010 316 100 — — — — — —
201525 AAASultanes de Monterrey — 118106 27800 11100 00 255325330655 75281 89 298 65 — — — — — —
201525 INTLMexico — 191166 49821 21150 32 295374386760 90316 811 338 115 — — — — — —
201626 AAASultanes de Monterrey — 284244 631106 34381 22 258351377728 119284 1312 326 63 — — — — — —
201626 INTLMexico — 245217 791915 26231 11 364434530964 166389 911 425 174 — — — — — —
201727 AAASultanes de Monterrey — 457423 13223214 27374 32 312359475834 163315 86 367 94 — — — — — —
201727 INTLAguilas de Mexicali — 211190 68908 16131 12 358411532942 174347 68 409 163 — — — — — —
201929 AAALeones de Yucatan — 407351 11222012 48372 10 319404484888 165325 912 390 112 — — — — — —
202030 INTLAguilas de Mexicali — 213190 541004 18113 21 284355400755 116282 58 339 115 — — — — — —
202131 INTLAguilas de Mexicali — 5446 14201 870 00 304407413820 109342 1315 374 139 — — — — — —
202333 INTLMayos de Navojoa — 259230 62608 26392 12 270349400749 130293 1510 337 115 — — — — — —
202434 INTLMayos de Navojoa — 237216 49705 19362 10 227295329624 102251 158 285 79 — — — — — —
202535 INTLTomateros de Culiacan — 7266 12203 3161 01 182229348577 167184 224 250 55 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200919 AAA MLESultanes de Monterrey — 1816 6101 020 00 3753756251.000 250337 110 393 152 — — — — — —
201020 AAA MLESultanes de Monterrey — 1716 3000 140 00 188235188423 242 246 208 27 — — — — — —
201121 AAA MLESultanes de Monterrey — 10398 27503 3141 11 276304418722 143289 143 300 89 — — — — — —
201222 AAA MLESultanes de Monterrey — 9790 23601 5192 00 256309356665 100316 205 298 88 — — — — — —
201323 AAA MLESultanes de Monterrey — 234218 591503 7302 10 271300381680 110289 133 288 81 — — — — — —
201525 AAA MLESultanes de Monterrey — 118110 26700 7120 00 236282300582 64266 106 264 65 — — — — — —
201626 AAA MLESultanes de Monterrey — 284257 571004 21471 22 222283307591 86251 177 262 63 — — — — — —
201727 AAA MLESultanes de Monterrey — 457432 1191929 18474 32 275311391702 116289 104 307 94 — — — — — —
201929 AAA MLELeones de Yucatan — 407369 10320011 30442 10 279337423759 144281 117 333 112 — — — — — —
200919 AAA MLESultanes de Monterrey — 1816 6101 020 00 3753756251.000 250357 110 393 152 — — — — — —
200919 AAA RAWSultanes de Monterrey — 1816 6101 020 00 3753756251.000 250357 110 388 152 — — — — — —
201020 INTL MLE2 teams — 9584 16000 8200 10 190261190451 246 218 208 27 — — — — — —
201020 INTL RAW2 teams — 9587 19302 5100 10 218261322583 103224 115 254 27 — — — — — —
201121 AAA MLE2 teams — 191181 49805 5251 31 271294398692 127289 133 300 89 — — — — — —
201121 AAA RAW2 teams — 191175 44907 11281 31 251299423722 171262 156 313 89 — — — — — —
201222 AAA MLE2 teams — 167156 401002 9342 10 256305359664 103317 205 298 88 — — — — — —
201222 AAA RAW2 teams — 167157 471005 8252 10 299341459800 159331 155 355 88 — — — — — —
201323 AAA MLE2 teams — 334313 842104 10432 10 268295374669 105297 133 288 81 — — — — — —
201323 AAA RAW2 teams — 334307 832705 16362 10 270311407718 137290 115 311 81 — — — — — —
201424 INTL MLEAguilas de Mexicali — 219196 511412 21210 12 260332372704 112280 1010 — — — — — — — —
201424 INTL RAWAguilas de Mexicali — 219196 511412 21210 12 260332372704 112280 1010 316 100 — — — — — —
201525 INTL MLE2 teams — 309285 691800 19300 32 242289305595 63268 106 264 65 — — — — — —
201525 INTL RAW2 teams — 309272 761621 32250 32 279355364719 85302 810 323 65 — — — — — —
201626 AAA MLE2 teams — 529482 1071808 39882 33 222283309592 87255 177 262 63 — — — — — —
201626 AAA RAW2 teams — 529461 14230111 60612 33 308390449839 141335 1211 372 63 — — — — — —
201727 AAA MLE2 teams — 668630 17528214 26695 44 278312395707 117291 104 307 94 — — — — — —
201727 AAA RAW2 teams — 668613 20032222 43505 44 326375493868 166325 76 380 94 — — — — — —
201929 AAA MLELeones de Yucatan — 407369 10320011 30442 10 279337423759 144287 117 333 112 — — — — — —
201929 AAA RAWLeones de Yucatan — 407351 11222012 48372 10 319404484888 165325 912 390 112 — — — — — —
202030 INTL MLEAguilas de Mexicali — 213190 541004 18113 21 284355400755 116282 58 — — — — — — — —
202030 INTL RAWAguilas de Mexicali — 213190 541004 18113 21 284355400755 116282 58 339 115 — — — — — —
202131 INTL MLEAguilas de Mexicali — 5446 14201 870 00 304407413820 109342 1315 — — — — — — — —
202131 INTL RAWAguilas de Mexicali — 5446 14201 870 00 304407413820 109342 1315 374 139 — — — — — —
202333 INTL MLEMayos de Navojoa — 259230 62608 26392 12 270349400749 130293 1510 — — — — — — — —
202333 INTL RAWMayos de Navojoa — 259230 62608 26392 12 270349400749 130293 1510 337 115 — — — — — —
202434 INTL MLEMayos de Navojoa — 237216 49705 19362 10 227295329624 102251 158 — — — — — — — —
202434 INTL RAWMayos de Navojoa — 237216 49705 19362 10 227295329624 102251 158 285 79 — — — — — —
202535 INTL MLETomateros de Culiacan — 7266 12203 3161 01 182229348577 167184 224 — — — — — — — —
202535 INTL RAWTomateros de Culiacan — 7266 12203 3161 01 182229348577 167184 224 250 55 — — — — — —
200919 AAA MLESultanes de Monterrey — 1818 6101 020 00 333375556931 222337 110 393 152 — — — — — —
201020 INTL MLE2 teams — 9587 16000 8200 10 184261184445 242 218 208 27 — — — — — —
201121 AAA MLE2 teams — 191183 49805 5251 31 268294393688 126289 133 300 89 — — — — — —
201222 AAA MLE2 teams — 167154 401002 9342 10 260305364669 104316 205 298 88 — — — — — —
201323 AAA MLE2 teams — 334319 842104 10432 10 263295367662 103289 133 288 81 — — — — — —
201525 INTL MLE2 teams — 309287 691800 19300 32 240289303593 63266 106 264 65 — — — — — —
201626 AAA MLE2 teams — 529483 1071808 39882 33 222283308591 87251 177 262 63 — — — — — —
201727 AAA MLE2 teams — 668632 17528214 26695 44 277312394706 117289 104 307 94 — — — — — —
201929 AAA MLELeones de Yucatan — 407372 10320011 30442 10 277337419756 142281 117 333 112 — — — — — —
▸ Career Totals
Career— MLE — 37723460 891165368 24148522 2216 258310366676 108280 136 210 28 -323 -2 +0 +67 +82 -17.9
/ 162G— MLE — 650596 15428112 42844 43 258312369681 111281 136 210 28 -56 -0 +0 +12 +14 -3.1

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 AAALeones de Yucatan · 407 PAwOBA .382 → .333 (−49)K% 9.1% → 10.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA9.09%÷1.018×1.200——10.72%
BB% (unintentional) /PA10.57%÷0.986×0.690—×0.9827.26%
HBP% /PA0.49%—×0.940—×0.9820.45%
Singles /BIP24.84%÷0.992×0.930×0.950×0.98221.73%
Doubles /BIP7.01%÷0.910×0.830×0.950×0.9825.96%
Triples /BIP0.00%÷1.150×0.920×0.950×0.9820.00%
Home runs /BIP3.82%÷0.792×0.700—×0.9823.32%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 58, 1B 98, 2B 82, 3B 130, K 104, BB 97 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .382 → .333; ISO .165 → .151; BABIP .325 → .281. 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 AAASultanes de Monterrey · 457 PAwOBA .359 → .307 (−53)K% 8.1% → 10.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA8.10%÷0.946×1.200——10.27%
BB% (unintentional) /PA5.91%÷1.060×0.690—×1.0033.86%
HBP% /PA0.88%—×0.940—×1.0030.83%
Singles /BIP24.09%÷0.978×0.930×1.000×1.00322.99%
Doubles /BIP5.96%÷0.992×0.830×1.000×1.0035.00%
Triples /BIP0.52%÷1.150×0.920×1.000×1.0030.42%
Home runs /BIP3.63%÷1.043×0.700—×1.0032.44%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 109, 1B 96, 2B 98, 3B 130, K 89, BB 112 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.000.

Result: wOBA .359 → .307; ISO .163 → .121; BABIP .315 → .289. 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 AAASultanes de Monterrey · 284 PAwOBA .318 → .262 (−56)K% 13.4% → 16.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.38%÷0.961×1.200——16.71%
BB% (unintentional) /PA11.62%÷1.118×0.690—×1.0187.30%
HBP% /PA0.35%—×0.940—×1.0180.34%
Singles /BIP22.33%÷1.036×0.930×0.990×1.01820.20%
Doubles /BIP5.34%÷0.979×0.830×0.990×1.0184.56%
Triples /BIP0.00%÷0.900×0.920×0.990×1.0180.00%
Home runs /BIP2.91%÷1.051×0.700—×1.0181.97%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 110, 1B 107, 2B 96, 3B 80, K 92, BB 124 — 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 ×0.990.

Result: wOBA .318 → .262; ISO .119 → .092; BABIP .284 → .251. 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 AAASultanes de Monterrey · 118 PAwOBA .287 → .264 (−23)K% 8.5% → 9.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA8.47%÷1.042×1.200——9.76%
BB% (unintentional) /PA8.47%÷0.964×0.690—×1.0336.26%
HBP% /PA0.00%—×0.940—×1.0330.00%
Singles /BIP19.79%÷0.977×0.930×1.005×1.03319.56%
Doubles /BIP8.33%÷1.018×0.830×1.005×1.0337.05%
Triples /BIP0.00%÷1.150×0.920×1.005×1.0330.00%
Home runs /BIP0.00%÷0.986×0.700—×1.0330.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 97, 1B 95, 2B 104, 3B 130, K 108, BB 93 — 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 ×1.005.

Result: wOBA .287 → .264; ISO .075 → .066; BABIP .281 → .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).

2013 AAASultanes de Monterrey · 234 PAwOBA .325 → .288 (−37)K% 11.1% → 12.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.11%÷1.039×1.200——12.83%
BB% (unintentional) /PA3.85%÷0.952×0.690—×1.0502.93%
HBP% /PA0.85%—×0.940—×1.0500.84%
Singles /BIP21.58%÷0.991×0.930×0.994×1.05021.15%
Doubles /BIP10.00%÷1.140×0.830×0.994×1.0507.60%
Triples /BIP0.00%÷1.150×0.920×0.994×1.0500.00%
Home runs /BIP2.11%÷1.011×0.700—×1.0501.53%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 98, 2B 128, 3B 130, K 108, BB 90 — 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 ×0.994.

Result: wOBA .325 → .288; ISO .144 → .110; BABIP .319 → .289. 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 AAASultanes de Monterrey · 97 PAwOBA .350 → .298 (−52)K% 16.5% → 20.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.49%÷0.984×1.200——20.11%
BB% (unintentional) /PA7.22%÷0.984×0.690—×1.0505.31%
HBP% /PA2.06%—×0.940—×1.0502.04%
Singles /BIP23.61%÷1.015×0.930×1.018×1.05023.13%
Doubles /BIP9.72%÷1.092×0.830×1.018×1.0507.90%
Triples /BIP0.00%÷1.128×0.920×1.018×1.0500.00%
Home runs /BIP2.78%÷1.081×0.700—×1.0501.89%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 103, 2B 118, 3B 126, K 97, BB 97 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.

Result: wOBA .350 → .298; ISO .148 → .108; BABIP .343 → .316. 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 AAASultanes de Monterrey · 103 PAwOBA .334 → .300 (−34)K% 10.7% → 13.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA10.68%÷0.972×1.200——13.19%
BB% (unintentional) /PA3.88%÷1.026×0.690—×1.0502.74%
HBP% /PA0.97%—×0.940—×1.0500.96%
Singles /BIP22.09%÷1.003×0.930×1.050×1.05022.59%
Doubles /BIP5.81%÷0.997×0.830×1.050×1.0505.34%
Triples /BIP0.00%÷1.020×0.920×1.050×1.0500.00%
Home runs /BIP4.65%÷1.053×0.700—×1.0503.25%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 111, 1B 101, 2B 99, 3B 104, K 94, BB 105 — applied at half strength. Age: age 21 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (6.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .334 → .300; ISO .175 → .133; BABIP .293 → .289. 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).

2010 AAASultanes de Monterrey · 17 PAwOBA .236 → .208 (−29)K% 17.6% → 21.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.65%÷1.006×1.200——21.05%
BB% (unintentional) /PA11.76%÷1.030×0.690—×1.0508.27%
HBP% /PA0.00%—×0.940—×1.0500.00%
Singles /BIP25.00%÷1.009×0.930—×1.05024.19%
Doubles /BIP0.00%÷0.984×0.830—×1.0500.00%
Triples /BIP0.00%÷1.137×0.920—×1.0500.00%
Home runs /BIP0.00%÷0.947×0.700—×1.0500.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 102, 2B 97, 3B 127, K 101, BB 106 — applied at half strength. Age: age 20 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (7.2 yr younger than average).

Result: wOBA .236 → .208; ISO .000 → .000; BABIP .250 → .242. 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 — .