Alberto Callaspo

Pos3B
B/TS/R
Born1983-04-19
Age (2027)44
No MLB projection yet. Career stats below are historical.
Overview
INTLLAST SEASON 2022
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WAR
201835INTLTigres de Ara…93.133/.226/.133009—
202138INTLCardenales de…51.262/.380/.31000102—
202239INTLTigres de Ara…38.281/.395/.34400119—
Contract
No contract data on file.
Skills · percentileStatcast 2015
xwOBA31
Barrel%10
Avg EV10
Speed10

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)
200522 AAASalt Lake Stingers — 228212 672121 10131 25 316350448798 132328 64 346 99 — — — — — —
200522 AAArkansas Travelers — 385350 1048010 28171 98 297351406757 109287 47 336 91 — — — — — —
200623 MLBArizona Diamondbacks — 4742 10110 460 01 238304310614 71270 139 275 72 -2 -0 -0 +6 +1 0.6
200623 AAATucson Sidewinders — 554490 16524127 56272 85 337407478884 141343 510 389 116 — — — — — —
200724 MLBArizona Diamondbacks — 156144 31800 9141 11 215266271537 56237 96 244 51 -9 -0 +0 +1 +3 -0.4
200724 AAATucson Sidewinders — 261226 771525 28171 12 341416491907 150343 711 394 132 — — — — — —
200825 MLBKansas City Royals — 234213 65830 19140 21 305362371733 66325 68 330 110 +3 +0 +5 +1 +5 1.4
200825 AAAOmaha Royals — 1716 3000 140 00 188235188423 250 246 201 -4 — — — — — —
200926 MLBKansas City Royals — 634576 17341811 52511 21 300359457816 156312 88 359 126 +20 +0 -9 +2 +14 2.7
201027 MLBLos Angeles Angels — 601562 14927210 31421 53 265305374678 109269 75 301 88 -8 -0 +6 +3 +13 1.3
201027 INTLNavegantes del Magallanes — 144125 39910 1780 11 312394400794 88328 612 356 127 — — — — — —
201128 MLBLos Angeles Angels — 536475 1372306 58481 81 288367375742 86310 911 338 109 +6 +1 +10 +2 +12 3.1
201128 INTLNavegantes del Magallanes — 5952 16600 650 10 308379423802 115333 810 355 126 — — — — — —
201229 MLBLos Angeles Angels — 520457 11520010 56590 43 252333361694 109268 1111 312 98 -2 -0 +11 +2 +11 2.2
201330 MLBOakland Athletics — 516453 11720010 53471 02 258337369706 110266 910 316 100 +0 -1 -5 +2 +11 0.8
201330 INTLVenezuela — 5442 13102 1130 01 310453476929 167297 620 411 164 — — — — — —
201431 MLBOakland Athletics — 451404 901504 40501 01 223294290584 67242 119 267 67 -18 -0 -0 +2 +10 -0.7
201532 MLBLos Angeles Dodgers — 261230 54701 28340 00 235318278596 43269 1311 277 76 -7 +0 -1 +1 +6 -0.1
201532 INTLTigres de Aragua — 3226 8100 510 00 308419346766 38308 316 347 121 — — — — — —
201633 INTLTigres de Aragua — 5443 19500 630 01 4425105581.068 116432 611 431 178 — — — — — —
201734 AAAVaqueros Union Laguna — 244219 66803 21272 12 301368379747 78330 119 338 65 — — — — — —
201734 INTLTigres de Aragua — 227188 661102 36240 00 351455441897 90388 1116 402 159 — — — — — —
201835 INTLTigres de Aragua — 9383 11000 1050 00 133226133358 141 511 182 9 — — — — — —
202138 INTLCardenales de Lara — 5142 11200 850 00 262380310690 48289 1016 319 102 — — — — — —
202239 INTLTigres de Aragua — 3832 9200 620 00 281395344738 62300 516 344 119 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 39563556 9411701452 3503656 2214 265332364696 100280 99 312 98 -12 -1 +17 +22 +86 11.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200522 AAA MLESalt Lake Stingers — 228215 641921 7171 25 298323419741 121305 73 314 99 — — — — — —
200522 AA MLEArkansas Travelers — 385358 100709 20211 98 279319374694 95269 55 302 91 — — — — — —
200623 MLB MLEArizona Diamondbacks — 4742 10110 460 01 238304310614 71270 139 275 72 -2 -0 -0 +6 +1 0.6
200623 AAA MLETucson Sidewinders — 554507 15421106 39352 85 304356420776 116312 67 340 116 — — — — — —
200724 MLB MLEArizona Diamondbacks — 156144 31800 9141 11 215266271537 56237 96 244 51 -9 -0 +0 +1 +3 -0.4
200724 AAA MLETucson Sidewinders — 261235 761424 19221 12 323376451828 128326 87 364 132 — — — — — —
200825 MLB MLEKansas City Royals — 234213 65830 19140 21 305362371733 66325 68 330 110 +3 +0 +5 +1 +5 1.4
200825 AAA MLEOmaha Royals — 1716 3000 150 00 188235188423 232 296 163 -4 — — — — — —
200926 MLB MLEKansas City Royals — 634580 17341811 48511 21 298353453806 155312 88 355 126 +20 +0 -9 +2 +14 2.7
201027 MLB MLELos Angeles Angels — 601565 15028210 28421 53 265301375677 110269 75 299 88 -8 -0 +6 +3 +13 1.3
201128 MLB MLELos Angeles Angels — 536483 1382406 50481 81 286354373727 87310 99 329 109 +6 +1 +10 +2 +12 3.1
201229 MLB MLELos Angeles Angels — 520458 11621010 55590 43 253333365698 111268 1111 312 98 -2 -0 +11 +2 +11 2.2
201330 MLB MLEOakland Athletics — 516455 11719011 51471 02 257333371705 114266 910 316 100 +0 -1 -5 +2 +11 0.8
201431 MLB MLEOakland Athletics — 451405 901504 39501 01 222292289581 67242 119 267 67 -18 -0 -0 +2 +10 -0.7
201532 MLB MLELos Angeles Dodgers — 261231 54701 27340 00 234314277591 43269 1310 280 76 -7 +0 -1 +1 +6 -0.1
201734 AAA MLEVaqueros Union Laguna — 244228 55602 12332 12 241285294579 53270 145 265 65 — — — — — —
200522 AA MLE2 teams — 613574 1642629 26382 1113 286319385704 99290 64 306 94 — — — — — —
200522 AA RAW2 teams — 613562 17129211 38302 1113 304350422772 117302 56 339 94 — — — — — —
200623 AAA MLE2 teams — 601549 16422116 43412 86 299352412764 113312 77 335 113 — — — — — —
200623 AAA RAW2 teams — 601532 17525137 60332 86 329399464863 135338 510 380 113 — — — — — —
200724 AAA MLE2 teams — 417379 1072224 28362 23 282335383718 100298 97 319 102 — — — — — —
200724 AAA RAW2 teams — 417370 1082325 37312 23 292359405765 114302 79 338 102 — — — — — —
200825 MLB MLE2 teams — 251229 68830 20190 21 297353358711 61322 88 319 102 +1 +0 +5 +1 +5 1.2
200825 MLB RAW2 teams — 251229 68830 20180 21 297353358711 61321 78 321 102 +1 +0 +5 +1 +5 1.2
200926 MLB MLEKansas City Royals — 634580 17341811 48511 21 298353453806 155310 88 355 126 +20 +0 -9 +2 +14 2.7
200926 MLB RAWKansas City Royals — 634576 17341811 52511 21 300359457816 156312 88 359 126 +20 +0 -9 +2 +14 2.7
201027 MLB MLE2 teams — 745700 18635312 35521 64 266302376677 110270 75 299 88 -10 -0 +6 +3 +16 1.4
201027 MLB RAW2 teams — 745687 18836310 48501 64 274322378700 105280 76 311 88 -10 -0 +6 +3 +16 1.4
201128 MLB MLE2 teams — 595535 1542707 56531 91 288356378734 90308 99 329 109 +6 +1 +10 +2 +13 3.4
201128 MLB RAW2 teams — 595527 1532906 64531 91 290368380748 89312 911 339 109 +6 +1 +10 +2 +13 3.4
201229 MLB MLELos Angeles Angels — 520458 11621010 55590 43 253333365698 111270 1111 312 98 -2 -0 +11 +2 +11 2.2
201229 MLB RAWLos Angeles Angels — 520457 11520010 56590 43 252333361694 109268 1111 312 98 -2 -0 +11 +2 +11 2.2
201330 MLB MLE2 teams — 570503 13021012 56521 03 258334372706 113265 910 316 100 +0 -1 -5 +2 +12 0.9
201330 MLB RAW2 teams — 570495 13021012 64501 03 263348378726 115269 911 325 100 +0 -1 -5 +2 +12 0.9
201431 MLB MLEOakland Athletics — 451405 901504 39501 01 222292289581 67241 119 267 67 -18 -0 -0 +2 +10 -0.7
201431 MLB RAWOakland Athletics — 451404 901504 40501 01 223294290584 67242 119 267 67 -18 -0 -0 +2 +10 -0.7
201532 MLB MLE2 teams — 293259 61801 30380 00 236315278593 42269 1310 280 76 -8 +0 -1 +1 +6 -0.2
201532 MLB RAW2 teams — 293256 62801 33350 00 242329285614 43274 1211 284 76 -8 +0 -1 +1 +6 -0.2
201633 INTL MLETigres de Aragua — 5443 19500 630 01 4425105581.068 116432 611 — — — — — — — —
201633 INTL RAWTigres de Aragua — 5443 19500 630 01 4425105581.068 116432 611 431 178 — — — — — —
201734 AAA MLE2 teams — 471441 1071304 23632 12 243283299583 57272 135 265 65 — — — — — —
201734 AAA RAW2 teams — 471407 1321905 57512 12 324410408818 84357 1112 369 65 — — — — — —
201835 INTL MLETigres de Aragua — 9383 11000 1050 00 133226133358 141 511 — — — — — — — —
201835 INTL RAWTigres de Aragua — 9383 11000 1050 00 133226133358 141 511 182 9 — — — — — —
202138 INTL MLECardenales de Lara — 5142 11200 850 00 262380310690 48289 1016 — — — — — — — —
202138 INTL RAWCardenales de Lara — 5142 11200 850 00 262380310690 48289 1016 319 102 — — — — — —
202239 INTL MLETigres de Aragua — 3832 9200 620 00 281395344738 62300 516 — — — — — — — —
202239 INTL RAWTigres de Aragua — 3832 9200 620 00 281395344738 62300 516 344 119 — — — — — —
200522 AA MLE2 teams — 613580 1642629 26382 1113 283319381700 98282 64 306 94 — — — — — —
200623 AAA MLE2 teams — 601551 16422116 43412 86 298352410762 113309 77 335 113 — — — — — —
200724 AAA MLE2 teams — 417384 1072224 28362 23 279335378713 99293 97 319 102 — — — — — —
200825 MLB MLE2 teams — 251229 68830 20190 21 297353358711 61319 88 319 102 — — — — — —
200926 MLB MLEKansas City Royals — 634580 17341811 48511 21 298353453806 155312 88 355 126 — — — — — —
201027 MLB MLE2 teams — 745703 18635312 35521 64 265302374676 110269 75 299 88 — — — — — —
201128 MLB MLE2 teams — 595533 1542707 56531 91 289356379735 90310 99 329 109 — — — — — —
201229 MLB MLELos Angeles Angels — 520460 11621010 55590 43 252333363696 111268 1111 312 98 — — — — — —
201330 MLB MLE2 teams — 570508 13021012 56521 03 256334368702 112266 910 316 100 — — — — — —
201431 MLB MLEOakland Athletics — 451408 901504 39501 01 221292287579 66242 119 267 67 — — — — — —
201532 MLB MLE2 teams — 293261 61801 30380 00 234315276591 42269 1310 280 76 — — — — — —
201734 AAA MLE2 teams — 471443 1071304 23632 12 242283298581 56270 135 265 65 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 39563556 9411701452 3503656 2214 265332364696 100280 99 312 89 -12 -1 +17 +22 +86 11.5
/ 162G— A+C — 650584 1552829 58601 42 265333366700 101280 99 312 89 -2 -0 +3 +4 +14 1.9
Career— MLE — 63975812 15702682980 48956713 4539 270328368696 97285 98 299 89 -12 -1 +17 +22 +86 11.5
/ 162G— MLE — 650591 1592738 50581 54 269328365693 96284 98 299 89 -2 -0 +3 +4 +14 1.9

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.

2017 AAAVaqueros Union Laguna · 244 PAwOBA .327 → .265 (−62)K% 11.1% → 13.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.07%÷0.993×1.200——13.37%
BB% (unintentional) /PA7.38%÷0.991×0.690—×0.9404.83%
HBP% /PA0.82%—×0.940—×0.9400.72%
Singles /BIP28.65%÷1.039×0.930×0.982×0.94023.67%
Doubles /BIP4.17%÷0.972×0.830×0.982×0.9403.28%
Triples /BIP0.00%÷1.150×0.920×0.982×0.9400.00%
Home runs /BIP1.56%÷0.879×0.700—×0.9401.17%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 76, 1B 108, 2B 94, 3B 130, K 99, BB 98 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.982.

Result: wOBA .327 → .265; ISO .078 → .061; BABIP .330 → .270. 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 AAAOmaha Royals · 17 PAwOBA .196 → .163 (−32)K% 23.5% → 30.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.53%÷1.000×1.290——30.35%
BB% (unintentional) /PA5.88%÷1.000×0.710—×1.0334.31%
HBP% /PA0.00%—×0.980—×1.0330.00%
Singles /BIP25.00%÷1.000×0.900—×1.03323.24%
Doubles /BIP0.00%÷1.000×0.810—×1.0330.00%
Triples /BIP0.00%÷1.000×0.810—×1.0330.00%
Home runs /BIP0.00%÷1.000×0.780—×1.0330.00%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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).

Result: wOBA .196 → .163; ISO .000 → .000; BABIP .250 → .232. 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).

2007 AAATucson Sidewinders · 261 PAwOBA .391 → .364 (−27)K% 6.5% → 8.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA6.51%÷1.000×1.290——8.40%
BB% (unintentional) /PA9.96%÷1.000×0.710—×1.0487.41%
HBP% /PA0.38%—×0.980—×1.0480.39%
Singles /BIP26.32%÷1.000×0.900×1.034×1.04825.67%
Doubles /BIP7.18%÷1.000×0.810×1.034×1.0486.30%
Triples /BIP0.96%÷1.000×0.810×1.034×1.0480.84%
Home runs /BIP2.39%÷1.000×0.780—×1.0481.96%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.034.

Result: wOBA .391 → .364; ISO .150 → .134; BABIP .343 → .326. 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).

2006 AAATucson Sidewinders · 554 PAwOBA .380 → .340 (−40)K% 4.9% → 6.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA4.87%÷1.000×1.290——6.29%
BB% (unintentional) /PA9.57%÷1.000×0.710—×1.0507.13%
HBP% /PA0.36%—×0.980—×1.0500.37%
Singles /BIP26.35%÷1.000×0.900×0.988×1.05024.59%
Doubles /BIP5.18%÷1.000×0.810×0.988×1.0504.35%
Triples /BIP2.59%÷1.000×0.810×0.988×1.0502.18%
Home runs /BIP1.51%÷1.000×0.780—×1.0501.24%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.988.

Result: wOBA .380 → .340; ISO .141 → .121; BABIP .343 → .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).

2005 AAArkansas Travelers · 385 PAwOBA .330 → .302 (−28)K% 4.4% → 5.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA4.42%÷1.000×1.220——5.39%
BB% (unintentional) /PA7.01%÷1.000×0.700—×1.0425.12%
HBP% /PA0.26%—×0.870—×1.0420.24%
Singles /BIP25.83%÷1.000×0.920×0.990×1.04224.50%
Doubles /BIP2.40%÷1.000×0.840×0.990×1.0422.08%
Triples /BIP0.00%÷1.000×0.940×0.990×1.0420.00%
Home runs /BIP3.00%÷1.000×0.800—×1.0422.50%

Factors used: league row TL. 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 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .330 → .302; ISO .109 → .094; BABIP .287 → .269. 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).

2005 AAASalt Lake Stingers · 228 PAwOBA .340 → .314 (−26)K% 5.7% → 7.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA5.70%÷1.000×1.290——7.36%
BB% (unintentional) /PA3.95%÷1.000×0.710—×1.0502.94%
HBP% /PA0.44%—×0.980—×1.0500.45%
Singles /BIP21.61%÷1.000×0.900×1.020×1.05020.83%
Doubles /BIP10.55%÷1.000×0.810×1.020×1.0509.15%
Triples /BIP1.01%÷1.000×0.810×1.020×1.0500.87%
Home runs /BIP0.50%÷1.000×0.780—×1.0500.41%

Factors used: league row PCL. 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 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 ×1.020.

Result: wOBA .340 → .314; ISO .132 → .116; BABIP .328 → .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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .