Luis Alvarez

PosC
B/TR/R
Born1990-02-28
Age (2027)37
No MLB projection yet. Career stats below are historical.
Overview
INTLLAST SEASON 2022
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WAR
201929INTLAguilas del Z…113.323/.385/.44410129—
202030INTLAguilas del Z…39.059/.111/.05900-58—
202232INTLNavegantes de…16.231/.375/.2310091—
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)
200717 ROKVSL Astros — 131112 27212 10157 01 241341330671 89263 118 308 28 — — — — — —
200818 ROKVSL Astros — 255207 691707 323211 42 333448517965 184363 1313 422 75 — — — — — —
200919 ROKGreeneville Astros — 5348 13301 3112 10 271340396735 125333 216 333 47 — — — — — —
201121 ROKGreeneville Astros — 151133 36612 12195 13 271353376729 105304 138 331 54 — — — — — —
201222 ALexington Legends — 5853 14112 3132 10 264328434762 170316 225 339 68 — — — — — —
201222 ROKGreeneville Astros — 1917 5102 240 00 2943687061.074 412273 2111 455 97 — — — — — —
201323 AACorpus Christi Hooks — 2624 6101 150 01 250280417697 167263 194 295 55 — — — — — —
201323 A+Lancaster JetHawks — 2722 5012 332 00 227370591961 364176 1111 413 95 — — — — — —
201323 AQuad Cities River Bandits — 5351 15302 1131 00 294321471791 176361 252 349 62 — — — — — —
201727 INTLAguilas del Zulia — 2422 2001 141 00 91167227394 13659 174 184 11 — — — — — —
201828 INTLAguilas del Zulia — 133123 33802 9160 10 268318382700 114295 127 312 97 — — — — — —
201929 INTLAguilas del Zulia — 11399 32901 9141 00 323385444830 121360 128 359 129 — — — — — —
202030 INTLAguilas del Zulia — 3934 2000 161 00 5911159170 69 153 83 -58 — — — — — —
202232 INTLNavegantes del Magallanes — 1613 3000 211 00 231375231606 250 612 303 91 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200717 ROK MLEVSL Astros — 131115 19111 7187 01 165256217473 52182 145 209 28 — — — — — —
200818 ROK MLEVSL Astros — 255216 471104 233911 42 218324324648 106234 159 279 75 — — — — — —
200919 ROK MLEGreeneville Astros — 5349 10201 2162 10 204264306570 102272 304 238 47 — — — — — —
201121 ROK MLEGreeneville Astros — 151137 30412 8275 13 219287307593 88249 185 248 54 — — — — — —
201222 A MLELexington Legends — 5854 12111 2172 10 222276333609 111290 293 269 68 — — — — — —
201222 ROK MLEGreeneville Astros — 1918 4101 160 00 222263444708 222206 325 312 97 — — — — — —
201323 AA MLECorpus Christi Hooks — 2624 6101 160 01 250280417697 167231 234 249 55 — — — — — —
201323 A+ MLELancaster JetHawks — 2723 5012 242 00 217333565899 348139 157 309 95 — — — — — —
201323 A MLEQuad Cities River Bandits — 5351 11201 1171 00 216245314559 98312 322 260 62 — — — — — —
200717 ROK MLEVSL Astros — 131115 19111 7187 01 165256217473 52188 145 209 28 — — — — — —
200717 ROK RAWVSL Astros — 131112 27212 10157 01 241341330671 89263 118 308 28 — — — — — —
200818 ROK MLEVSL Astros — 255216 471104 233911 42 218324324648 106244 159 279 75 — — — — — —
200818 ROK RAWVSL Astros — 255207 691707 323211 42 333448517965 184363 1313 422 75 — — — — — —
200919 ROK MLEGreeneville Astros — 5349 10201 2162 10 204264306570 102281 304 238 47 — — — — — —
200919 ROK RAWGreeneville Astros — 5348 13301 3112 10 271340396735 125333 216 333 47 — — — — — —
201121 ROK MLEGreeneville Astros — 151137 30412 8275 13 219287307593 88259 185 248 54 — — — — — —
201121 ROK RAWGreeneville Astros — 151133 36612 12195 13 271353376729 105304 138 331 54 — — — — — —
201222 A MLE2 teams — 7772 15113 3222 10 208260375635 167255 294 280 75 — — — — — —
201222 A RAW2 teams — 7770 19214 5172 10 271338500838 229306 226 368 75 — — — — — —
201323 A MLE3 teams — 10699 21314 3283 01 212257384641 172250 263 270 69 — — — — — —
201323 A RAW3 teams — 10697 26415 5213 01 268324485808 216292 205 352 69 — — — — — —
201727 INTL MLEAguilas del Zulia — 2422 2001 141 00 91167227394 13659 174 — — — — — — — —
201727 INTL RAWAguilas del Zulia — 2422 2001 141 00 91167227394 13659 174 184 11 — — — — — —
201828 INTL MLEAguilas del Zulia — 133123 33802 9160 10 268318382700 114295 127 — — — — — — — —
201828 INTL RAWAguilas del Zulia — 133123 33802 9160 10 268318382700 114295 127 312 97 — — — — — —
201929 INTL MLEAguilas del Zulia — 11399 32901 9141 00 323385444830 121360 128 — — — — — — — —
201929 INTL RAWAguilas del Zulia — 11399 32901 9141 00 323385444830 121360 128 359 129 — — — — — —
202030 INTL MLEAguilas del Zulia — 3934 2000 161 00 5911159170 69 153 — — — — — — — —
202030 INTL RAWAguilas del Zulia — 3934 2000 161 00 5911159170 69 153 83 -58 — — — — — —
202232 INTL MLENavegantes del Magallanes — 1613 3000 211 00 231375231606 250 612 — — — — — — — —
202232 INTL RAWNavegantes del Magallanes — 1613 3000 211 00 231375231606 250 612 303 91 — — — — — —
200717 ROK MLEVSL Astros — 131116 19111 7187 01 164256216471 52182 145 209 28 — — — — — —
200818 ROK MLEVSL Astros — 255219 471104 233911 42 215324320644 105234 159 279 75 — — — — — —
200919 ROK MLEGreeneville Astros — 5349 10201 2162 10 204264306570 102272 304 238 47 — — — — — —
201121 ROK MLEGreeneville Astros — 151137 30412 8275 13 219287307593 88249 185 248 54 — — — — — —
201222 A MLE2 teams — 7772 15113 3222 10 208260375635 167269 294 280 75 — — — — — —
201323 A MLE3 teams — 10699 21314 3283 01 212257384641 172248 263 270 69 — — — — — —
▸ Career Totals
Career— MLE — 1098979 21439419 6819134 87 219292325617 106251 176 181 9 -119 -1 +0 +20 +24 -7.9
/ 162G— MLE — 650580 12623211 4011320 54 217291321611 103250 176 181 9 -71 -1 +0 +12 +14 -4.7

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.

2013 AQuad Cities River Bandits · 53 PAwOBA .339 → .260 (−79)K% 24.5% → 32.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.53%÷1.032×1.360——32.33%
BB% (unintentional) /PA1.89%÷0.993×0.690—×0.9901.30%
HBP% /PA1.89%—×0.780—×0.9901.46%
Singles /BIP26.32%÷1.047×0.920—×0.99022.90%
Doubles /BIP7.89%÷0.920×0.830—×0.9907.05%
Triples /BIP0.00%÷1.070×0.910—×0.9900.00%
Home runs /BIP5.26%÷1.034×0.800—×0.9904.03%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 109, 2B 84, 3B 114, K 106, BB 99 — 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 .339 → .260; ISO .176 → .129; BABIP .361 → .312. 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+Lancaster JetHawks · 27 PAwOBA .402 → .309 (−93)K% 11.1% → 16.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.11%÷0.929×1.340——16.02%
BB% (unintentional) /PA11.11%÷1.035×0.710—×0.9987.60%
HBP% /PA7.41%—×0.790—×0.9985.84%
Singles /BIP10.53%÷1.037×0.910—×0.9989.22%
Doubles /BIP0.00%÷1.090×0.820—×0.9980.00%
Triples /BIP5.26%÷1.150×0.760—×0.9983.47%
Home runs /BIP10.53%÷1.147×0.920—×0.9988.43%

Factors used: league row CAL. Park (home-season share, regressed): HR 129, 1B 107, 2B 118, 3B 130, K 86, BB 107 — 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).

Result: wOBA .402 → .309; ISO .364 → .279; BABIP .176 → .139. 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 AACorpus Christi Hooks · 26 PAwOBA .298 → .249 (−49)K% 19.2% → 23.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.23%÷1.004×1.220——23.36%
BB% (unintentional) /PA3.85%÷1.117×0.700—×1.0272.48%
HBP% /PA0.00%—×0.870—×1.0270.00%
Singles /BIP21.05%÷1.040×0.920—×1.02719.13%
Doubles /BIP5.26%÷1.067×0.840—×1.0274.25%
Triples /BIP0.00%÷0.900×0.940—×1.0270.00%
Home runs /BIP5.26%÷1.106×0.800—×1.0273.91%

Factors used: league row TL. Park (home-season share, regressed): HR 121, 1B 108, 2B 113, 3B 80, K 101, BB 123 — 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).

Result: wOBA .298 → .249; ISO .167 → .128; BABIP .263 → .231. 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 ALexington Legends · 58 PAwOBA .330 → .269 (−61)K% 22.4% → 28.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.41%÷1.046×1.340——28.71%
BB% (unintentional) /PA5.17%÷1.016×0.660——3.36%
HBP% /PA3.45%—×0.770——2.66%
Singles /BIP25.00%÷0.992×0.920——23.18%
Doubles /BIP2.50%÷0.998×0.820——2.05%
Triples /BIP2.50%÷0.900×0.940——2.61%
Home runs /BIP5.00%÷1.064×0.820——3.85%

Factors used: league row SAL. Park (home-season share, regressed): HR 113, 1B 98, 2B 100, 3B 80, K 109, BB 103 — 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).

Result: wOBA .330 → .269; ISO .170 → .135; BABIP .316 → .290. 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 ROKGreeneville Astros · 19 PAwOBA .442 → .312 (−129)K% 21.1% → 29.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.05%÷1.000×1.420——29.89%
BB% (unintentional) /PA10.53%÷1.000×0.640—×0.9756.57%
HBP% /PA0.00%—×0.740—×0.9750.00%
Singles /BIP15.38%÷1.000×0.840—×0.97512.60%
Doubles /BIP7.69%÷1.000×0.740—×0.9755.55%
Triples /BIP0.00%÷1.000×0.740—×0.9750.00%
Home runs /BIP15.38%÷1.000×0.800—×0.97512.00%

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 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).

Result: wOBA .442 → .312; ISO .412 → .295; BABIP .273 → .206. 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 ROKGreeneville Astros · 151 PAwOBA .322 → .248 (−74)K% 12.6% → 17.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.58%÷1.000×1.420——17.87%
BB% (unintentional) /PA7.95%÷1.000×0.640—×0.9855.01%
HBP% /PA3.31%—×0.740—×0.9852.41%
Singles /BIP23.68%÷1.000×0.840×1.021×0.98520.01%
Doubles /BIP5.26%÷1.000×0.740×1.021×0.9853.92%
Triples /BIP0.88%÷1.000×0.740×1.021×0.9850.65%
Home runs /BIP1.75%÷1.000×0.800—×0.9851.38%

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 ×1.021.

Result: wOBA .322 → .248; ISO .105 → .079; BABIP .304 → .249. 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).

2009 ROKGreeneville Astros · 53 PAwOBA .324 → .238 (−86)K% 20.8% → 29.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.75%÷1.000×1.420——29.47%
BB% (unintentional) /PA5.66%÷1.000×0.640—×1.0083.65%
HBP% /PA3.77%—×0.740—×1.0082.81%
Singles /BIP24.32%÷1.000×0.840—×1.00820.59%
Doubles /BIP8.11%÷1.000×0.740—×1.0086.05%
Triples /BIP0.00%÷1.000×0.740—×1.0080.00%
Home runs /BIP2.70%÷1.000×0.800—×1.0082.18%

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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average).

Result: wOBA .324 → .238; ISO .125 → .089; BABIP .333 → .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).

2008 DSLVSL Astros · 255 PAwOBA .416 → .279 (−137)K% 12.5% → 15.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.55%÷1.000×1.220——15.31%
BB% (unintentional) /PA12.55%÷1.000×0.700—×1.0088.85%
HBP% /PA4.31%—×0.700—×1.0083.04%
Singles /BIP25.71%÷1.000×0.680×0.992×1.00817.48%
Doubles /BIP9.71%÷1.000×0.600×0.992×1.0085.83%
Triples /BIP0.00%÷1.000×0.600×0.992×1.0080.00%
Home runs /BIP4.00%÷1.000×0.470—×1.0081.89%

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 ×0.992.

Result: wOBA .416 → .279; ISO .184 → .103; BABIP .363 → .234. 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 — .