Amadeo Zazueta

Pos2B
B/TR/R
Born1986-01-31
Age (2027)41
No MLB projection yet. Career stats below are historical.
Overview
INTLLAST SEASON 2023
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WAR
202135INTLMexico188.259/.291/.3331171—
202236INTLCharros de Ja…298.311/.334/.38510101—
202337INTLCharros de Ja…37.091/.189/.12100-6—
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)
200519 ROKVSL Astros — 227202 621927 19292 25 307371525895 218325 138 386 46 — — — — — —
200620 ROKGreeneville Astros — 5753 9201 390 00 170214264478 94186 165 214 -8 — — — — — —
201024 A+Myrtle Beach Pelicans — 9792 15402 2111 20 163189272461 109165 112 202 7 — — — — — —
201024 INTLAguilas de Mexicali — 124116 31413 8170 00 267315397711 129292 146 318 101 — — — — — —
201125 AASan Antonio Missions — 5453 15111 090 10 283283396679 113318 170 293 60 — — — — — —
201125 INTLMayos de Navojoa — 188169 47401 9222 01 278322320642 41315 125 282 77 — — — — — —
201226 AAATucson Padres — 121115 21410 1191 00 183197235431 52216 161 187 -3 — — — — — —
201226 A+Dunedin Blue Jays — 2321 9211 030 00 4294297621.190 333421 130 469 185 — — — — — —
201226 INTLMayos de Navojoa — 6760 18220 472 10 300364400764 100333 106 339 116 — — — — — —
201327 AANew Hampshire Fisher Cats — 160155 33801 2171 00 213228284512 71234 111 226 24 — — — — — —
201428 INTLCharros de Jalisco — 7769 22301 430 10 319356406762 87313 45 325 106 — — — — — —
201529 INTLCharros de Jalisco — 233212 71752 10141 95 335368443811 108347 64 346 120 — — — — — —
201630 AAAAcereros del Norte — 471418 1291833 27423 136 309355388742 79336 96 319 80 — — — — — —
201630 INTLCharros de Jalisco — 261244 711022 8231 32 291316373689 82314 93 299 89 — — — — — —
201731 AAAAcereros del Norte — 432405 1382629 21421 84 341375481856 141361 105 375 98 — — — — — —
201731 INTLCharros de Jalisco — 273259 731422 12140 41 282314375688 93291 54 306 93 — — — — — —
201832 INTLMexico — 307277 801406 16244 23 289337404741 116294 85 322 104 — — — — — —
201933 AAASultanes de Monterrey — 434387 1262837 27299 63 326383468851 142334 76 370 77 — — — — — —
201933 INTLCharros de Jalisco — 275257 821101 9244 10 319352374725 54348 93 323 105 — — — — — —
202034 INTLCharros de Jalisco — 176160 53704 10191 13 331372450822 119350 116 358 129 — — — — — —
202135 INTLMexico — 188174 451001 6202 10 259291333625 75284 113 273 71 — — — — — —
202236 INTLCharros de Jalisco — 298283 881421 9221 01 311334385720 74332 73 317 101 — — — — — —
202337 INTLCharros de Jalisco — 3733 3100 351 00 91189121310 30107 148 160 -6 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200519 ROK MLEVSL Astros — 227210 381113 12352 25 181232286518 105201 155 236 46 — — — — — —
200620 ROK MLEGreeneville Astros — 5754 7101 2130 00 130161204364 74151 234 156 -8 — — — — — —
201024 A+ MLEMyrtle Beach Pelicans — 9793 15402 1161 20 161179269448 108163 161 178 7 — — — — — —
201125 AA MLESan Antonio Missions — 5453 13111 0120 10 245245358604 113289 220 257 60 — — — — — —
201226 AAA MLETucson Padres — 121115 19310 1251 00 165179209388 43200 211 164 -3 — — — — — —
201226 A+ MLEDunedin Blue Jays — 2321 8211 040 00 3813817141.095 333355 170 441 185 — — — — — —
201327 AA MLENew Hampshire Fisher Cats — 160156 32701 1211 00 205215269484 64226 131 203 24 — — — — — —
201630 AAA MLEAcereros del Norte — 471429 1261632 16513 136 294324359683 65308 113 287 80 — — — — — —
201731 AAA MLEAcereros del Norte — 432413 1232326 13511 84 298321407728 109319 123 313 98 — — — — — —
201933 AAA MLESultanes de Monterrey — 434399 1021925 15389 63 256298351649 95261 93 282 77 — — — — — —
200519 ROK MLEVSL Astros — 227210 381113 12352 25 181232286518 105200 155 236 46 — — — — — —
200519 ROK RAWVSL Astros — 227202 621927 19292 25 307371525895 218325 138 386 46 — — — — — —
200620 ROK MLEGreeneville Astros — 5754 7101 2130 00 130161204364 74150 234 156 -8 — — — — — —
200620 ROK RAWGreeneville Astros — 5753 9201 390 00 170214264478 94186 165 214 -8 — — — — — —
201024 INTL MLE2 teams — 221215 32804 3361 20 149164242406 93160 161 178 7 — — — — — —
201024 INTL RAW2 teams — 221208 46815 10281 20 221260341602 120234 135 267 7 — — — — — —
201125 INTL MLE2 teams — 242231 60454 0522 11 260266372638 113318 210 257 60 — — — — — —
201125 INTL RAW2 teams — 242222 62512 9312 11 279313338651 59316 134 284 60 — — — — — —
201226 AAA MLE3 teams — 211200 39721 1433 10 195211265476 70237 200 208 27 — — — — — —
201226 AAA RAW3 teams — 211196 48841 5293 10 245275342616 97276 142 266 27 — — — — — —
201327 AA MLENew Hampshire Fisher Cats — 160156 32701 1211 00 205215269484 64231 131 203 24 — — — — — —
201327 AA RAWNew Hampshire Fisher Cats — 160155 33801 2171 00 213228284512 71234 111 226 24 — — — — — —
201428 INTL MLECharros de Jalisco — 7769 22301 430 10 319356406762 87313 45 — — — — — — — —
201428 INTL RAWCharros de Jalisco — 7769 22301 430 10 319356406762 87313 45 325 106 — — — — — —
201529 INTL MLECharros de Jalisco — 233212 71752 10141 95 335368443811 108347 64 — — — — — — — —
201529 INTL RAWCharros de Jalisco — 233212 71752 10141 95 335368443811 108347 64 346 120 — — — — — —
201630 AAA MLE2 teams — 732672 1962544 25794 168 292321359680 67324 113 287 80 — — — — — —
201630 AAA RAW2 teams — 732662 2002855 35654 168 302341382723 80328 95 312 80 — — — — — —
201731 AAA MLE2 teams — 705676 20037310 21821 125 296318404722 108323 123 313 98 — — — — — —
201731 AAA RAW2 teams — 705664 21140411 33561 125 318351440791 122333 85 348 98 — — — — — —
201832 INTL MLEMexico — 307277 801406 16244 23 289337404741 116294 85 — — — — — — — —
201832 INTL RAWMexico — 307277 801406 16244 23 289337404741 116294 85 322 104 — — — — — —
201933 AAA MLE2 teams — 709655 1673148 256213 73 255296351647 96269 94 282 77 — — — — — —
201933 AAA RAW2 teams — 709644 2083938 365313 73 323371430801 107340 75 352 77 — — — — — —
202034 INTL MLECharros de Jalisco — 176160 53704 10191 13 331372450822 119350 116 — — — — — — — —
202034 INTL RAWCharros de Jalisco — 176160 53704 10191 13 331372450822 119350 116 358 129 — — — — — —
202135 INTL MLEMexico — 188174 451001 6202 10 259291333625 75284 113 — — — — — — — —
202135 INTL RAWMexico — 188174 451001 6202 10 259291333625 75284 113 273 71 — — — — — —
202236 INTL MLECharros de Jalisco — 298283 881421 9221 01 311334385720 74332 73 — — — — — — — —
202236 INTL RAWCharros de Jalisco — 298283 881421 9221 01 311334385720 74332 73 317 101 — — — — — —
202337 INTL MLECharros de Jalisco — 3733 3100 351 00 91189121310 30107 148 — — — — — — — —
202337 INTL RAWCharros de Jalisco — 3733 3100 351 00 91189121310 30107 148 160 -6 — — — — — —
200519 ROK MLEVSL Astros — 227211 381113 12352 25 180232284517 104201 155 236 46 — — — — — —
200620 ROK MLEGreeneville Astros — 5755 7101 2130 00 127161200361 73151 234 156 -8 — — — — — —
201024 INTL MLE2 teams — 221215 32804 3361 20 149164242406 93163 161 178 7 — — — — — —
201125 INTL MLE2 teams — 242238 60454 0522 11 252266361627 109289 210 257 60 — — — — — —
201226 AAA MLE3 teams — 211205 39721 1433 10 190211259469 68225 200 208 27 — — — — — —
201327 AA MLENew Hampshire Fisher Cats — 160157 32701 1211 00 204215268483 64226 131 203 24 — — — — — —
201630 AAA MLE2 teams — 732697 1962544 25794 168 281321346667 65308 113 287 80 — — — — — —
201731 AAA MLE2 teams — 705677 20037310 21821 125 295318403721 108319 123 313 98 — — — — — —
201933 AAA MLE2 teams — 709665 1673148 256213 73 251296346642 95261 94 282 77 — — — — — —
▸ Career Totals
Career— MLE — 45804277 11331872651 14853037 5534 265295357652 92290 123 190 15 -464 -3 +0 +16 +99 -35.8
/ 162G— MLE — 650607 1612747 21755 85 265295357652 92291 123 190 15 -66 -0 +0 +2 +14 -5.1

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 AAASultanes de Monterrey · 434 PAwOBA .362 → .282 (−81)K% 6.7% → 8.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA6.68%÷0.922×1.200——8.70%
BB% (unintentional) /PA5.76%÷1.058×0.690—×0.9423.54%
HBP% /PA2.07%—×0.940—×0.9421.84%
Singles /BIP24.58%÷1.002×0.930×0.950×0.94220.42%
Doubles /BIP7.82%÷1.149×0.830×0.950×0.9425.06%
Triples /BIP0.84%÷1.091×0.920×0.950×0.9420.63%
Home runs /BIP1.96%÷0.997×0.700—×0.9421.29%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 100, 2B 130, 3B 118, K 84, BB 112 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .362 → .282; ISO .142 → .098; BABIP .334 → .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).

2017 AAAAcereros del Norte · 432 PAwOBA .366 → .313 (−53)K% 9.7% → 11.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA9.72%÷0.996×1.200——11.72%
BB% (unintentional) /PA4.40%÷0.985×0.690—×0.9622.96%
HBP% /PA0.23%—×0.940—×0.9620.21%
Singles /BIP27.82%÷1.025×0.930×1.030×0.96225.00%
Doubles /BIP7.16%÷0.958×0.830×1.030×0.9626.14%
Triples /BIP0.55%÷1.109×0.920×1.030×0.9620.45%
Home runs /BIP2.48%÷0.969×0.700—×0.9621.72%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 105, 2B 92, 3B 122, K 99, BB 97 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.030.

Result: wOBA .366 → .313; ISO .141 → .111; BABIP .361 → .319. 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 AAAAcereros del Norte · 471 PAwOBA .310 → .287 (−23)K% 8.9% → 10.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA8.92%÷0.989×1.200——10.82%
BB% (unintentional) /PA5.31%÷1.059×0.690—×0.9723.36%
HBP% /PA0.64%—×0.940—×0.9720.58%
Singles /BIP27.93%÷1.011×0.930×1.048×0.97226.16%
Doubles /BIP4.79%÷1.013×0.830×1.048×0.9724.00%
Triples /BIP0.80%÷1.124×0.920×1.048×0.9720.67%
Home runs /BIP0.80%÷0.941×0.700—×0.9720.58%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 102, 2B 103, 3B 125, K 98, BB 112 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.048.

Result: wOBA .310 → .287; ISO .079 → .068; BABIP .336 → .308. 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 AANew Hampshire Fisher Cats · 160 PAwOBA .220 → .203 (−17)K% 10.6% → 13.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA10.62%÷0.969×1.220——13.38%
BB% (unintentional) /PA1.25%÷1.007×0.700—×0.9780.85%
HBP% /PA0.62%—×0.850—×0.9780.52%
Singles /BIP17.39%÷0.986×0.970×1.050×0.97817.57%
Doubles /BIP5.80%÷1.042×0.860×1.050×0.9784.91%
Triples /BIP0.00%÷1.068×0.950×1.050×0.9780.00%
Home runs /BIP0.72%÷0.975×0.780—×0.9780.57%

Factors used: league row EL. Park (home-season share, regressed): HR 95, 1B 97, 2B 108, 3B 114, K 94, BB 101 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .220 → .203; ISO .071 → .058; BABIP .234 → .226. 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 AAATucson Padres · 121 PAwOBA .184 → .164 (−19)K% 15.7% → 20.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.70%÷0.979×1.290——20.69%
BB% (unintentional) /PA0.83%÷1.052×0.710—×1.0180.57%
HBP% /PA0.83%—×0.980—×1.0180.82%
Singles /BIP16.67%÷1.007×0.900×1.050×1.01815.91%
Doubles /BIP4.17%÷1.013×0.810×1.050×1.0183.56%
Triples /BIP1.04%÷1.150×0.810×1.050×1.0180.78%
Home runs /BIP0.00%÷1.050×0.780—×1.0180.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 110, 1B 101, 2B 103, 3B 130, K 96, BB 110 — 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 ×1.050.

Result: wOBA .184 → .164; ISO .052 → .042; BABIP .216 → .200. 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+Dunedin Blue Jays · 23 PAwOBA .498 → .441 (−57)K% 13.0% → 18.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.04%÷1.001×1.420——18.50%
BB% (unintentional) /PA0.00%÷1.020×0.750—×0.9680.00%
HBP% /PA0.00%—×0.930—×0.9680.00%
Singles /BIP27.78%÷1.034×0.920—×0.96823.92%
Doubles /BIP11.11%÷1.111×0.960—×0.9689.29%
Triples /BIP5.56%÷1.014×0.810—×0.9684.30%
Home runs /BIP5.56%÷0.944×0.880—×0.9685.01%

Factors used: league row FSL. Park (home-season share, regressed): HR 89, 1B 107, 2B 122, 3B 103, K 100, BB 104 — 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).

Result: wOBA .498 → .441; ISO .333 → .294; BABIP .421 → .355. 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 AASan Antonio Missions · 54 PAwOBA .290 → .257 (−34)K% 16.7% → 21.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.67%÷0.950×1.220——21.41%
BB% (unintentional) /PA0.00%÷1.128×0.700—×0.9980.00%
HBP% /PA0.00%—×0.870—×0.9980.00%
Singles /BIP27.27%÷1.069×0.920×1.050×0.99824.60%
Doubles /BIP2.27%÷1.037×0.840×1.050×0.9981.93%
Triples /BIP2.27%÷0.900×0.940×1.050×0.9982.49%
Home runs /BIP2.27%÷0.889×0.800—×0.9982.04%

Factors used: league row TL. Park (home-season share, regressed): HR 78, 1B 114, 2B 107, 3B 80, K 90, BB 126 — 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 ×1.050.

Result: wOBA .290 → .257; ISO .113 → .104; BABIP .318 → .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 A+Myrtle Beach Pelicans · 97 PAwOBA .196 → .178 (−18)K% 11.3% → 16.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.34%÷0.985×1.420——16.35%
BB% (unintentional) /PA2.06%÷1.009×0.630—×0.9881.27%
HBP% /PA1.03%—×0.860—×0.9880.88%
Singles /BIP11.11%÷0.954×0.940×1.050×0.98811.36%
Doubles /BIP4.94%÷0.916×0.830×1.050×0.9884.64%
Triples /BIP0.00%÷1.150×0.800×1.050×0.9880.00%
Home runs /BIP2.47%÷1.048×0.900—×0.9882.10%

Factors used: league row CAR. Park (home-season share, regressed): HR 110, 1B 91, 2B 83, 3B 130, K 97, BB 102 — 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 ×1.050.

Result: wOBA .196 → .178; ISO .109 → .094; BABIP .165 → .163. 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 — .