Alberto Carreon

PosSS
B/TR/R
Born1988-05-01
Age (2027)39
No MLB projection yet. Career stats below are historical.
Overview
INTLLAST SEASON 2023
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WAR
202133INTLSultanes de M…181.269/.356/.38532110—
202234INTLSultanes de M…268.300/.361/.39223100—
202335INTLSultanes de M…56.152/.264/.1740128—
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)
200921 AAAPericos de Puebla — 5043 8101 343 02 186286279565 93179 86 262 49 — — — — — —
201022 AAAPericos de Puebla — 128112 31210 5163 11 277325312637 36316 124 275 59 — — — — — —
201123 AAAPericos de Puebla — 8272 20220 7141 02 278350361711 83345 179 316 80 — — — — — —
201224 AAAPericos de Puebla — 275234 721531 18448 76 308377410787 103372 167 337 101 — — — — — —
201325 AAAPericos de Puebla — 425367 1121848 316816 95 305384441825 136355 167 362 93 — — — — — —
201325 INTLVenados de Mazatlan — 10995 23920 10212 00 242327379706 137311 199 313 98 — — — — — —
201426 AAAPericos de Puebla — 467409 13629411 377611 94 333402504905 171385 168 393 105 — — — — — —
201426 INTLCharros de Jalisco — 8980 19300 4211 21 237282275557 38317 244 246 52 — — — — — —
201527 AAAPericos de Puebla — 418361 1001957 35629 32 277356416771 139317 158 336 68 — — — — — —
201628 AAAPericos de Puebla — 306266 751832 30571 45 282357395752 113353 1910 330 66 — — — — — —
201628 INTLCharros de Jalisco — 10484 16323 13173 02 190320381701 190197 1612 306 93 — — — — — —
201729 AAAPericos de Puebla — 453407 1291825 23526 129 317362408770 91347 115 334 78 — — — — — —
201729 INTLCharros de Jalisco — 8069 18410 791 20 261338348685 87286 119 302 90 — — — — — —
201830 INTLCharros de Jalisco — 4740 8302 5101 01 200304425729 225214 2111 318 101 — — — — — —
201931 AAAPericos de Puebla — 498440 1282326 267221 51 291359393753 102332 145 335 65 — — — — — —
201931 INTLCharros de Jalisco — 6559 15011 4111 01 254312339651 85298 176 292 84 — — — — — —
202032 INTLSultanes de Monterrey — 174163 47903 3264 61 288318399716 110326 152 313 98 — — — — — —
202133 INTLSultanes de Monterrey — 181156 42523 13248 20 269356385741 115300 137 330 110 — — — — — —
202234 INTLSultanes de Monterrey — 268227 68932 21251 36 300361392754 93327 98 316 100 — — — — — —
202335 INTLSultanes de Monterrey — 5646 7100 473 10 152264174438 22179 127 209 28 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200921 AAA MLEPericos de Puebla — 5044 8101 253 02 182265273538 91178 104 241 49 — — — — — —
201022 AAA MLEPericos de Puebla — 128113 30210 4223 11 265308301609 35293 173 255 59 — — — — — —
201123 AAA MLEPericos de Puebla — 8274 20220 5181 02 270325351676 81340 226 286 80 — — — — — —
201224 AAA MLEPericos de Puebla — 275240 741331 12558 76 308362400762 92363 204 317 101 — — — — — —
201325 AAA MLEPericos de Puebla — 425377 1001635 219016 95 265331363694 98325 215 306 93 — — — — — —
201426 AAA MLEPericos de Puebla — 467423 1192338 2410011 94 281336407743 125341 215 323 105 — — — — — —
201527 AAA MLEPericos de Puebla — 418374 871545 22829 32 233291334626 102272 205 268 68 — — — — — —
201628 AAA MLEPericos de Puebla — 306277 671531 19741 45 242293329621 87311 246 266 66 — — — — — —
201729 AAA MLEPericos de Puebla — 453415 1151624 15686 129 277312354666 77302 153 284 78 — — — — — —
201931 AAA MLEPericos de Puebla — 498450 1061814 168921 51 236294307600 71274 183 265 65 — — — — — —
200921 AAA MLEPericos de Puebla — 5044 8101 253 02 182265273538 91179 104 241 49 — — — — — —
200921 AAA RAWPericos de Puebla — 5043 8101 343 02 186286279565 93179 86 262 49 — — — — — —
201022 AAA MLEPericos de Puebla — 128113 30210 4223 11 265308301609 35323 173 255 59 — — — — — —
201022 AAA RAWPericos de Puebla — 128112 31210 5163 11 277325312637 36316 124 275 59 — — — — — —
201123 AAA MLEPericos de Puebla — 8274 20220 5181 02 270325351676 81357 226 286 80 — — — — — —
201123 AAA RAWPericos de Puebla — 8272 20220 7141 02 278350361711 83345 179 316 80 — — — — — —
201224 AAA MLEPericos de Puebla — 275240 741331 12558 76 308362400762 92392 204 317 101 — — — — — —
201224 AAA RAWPericos de Puebla — 275234 721531 18448 76 308377410787 103372 167 337 101 — — — — — —
201325 AAA MLE2 teams — 534476 1272147 2711318 95 267330372702 105335 215 306 93 — — — — — —
201325 AAA RAW2 teams — 534462 1352768 418918 95 292372429801 136346 178 352 93 — — — — — —
201426 AAA MLE2 teams — 556502 14227410 2911912 115 283337412749 129350 215 323 105 — — — — — —
201426 AAA RAW2 teams — 556489 15532411 419712 115 317383466849 149374 177 370 105 — — — — — —
201527 AAA MLEPericos de Puebla — 418374 871545 22829 32 233291334626 102285 205 268 68 — — — — — —
201527 AAA RAWPericos de Puebla — 418361 1001957 35629 32 277356416771 139317 158 336 68 — — — — — —
201628 AAA MLE2 teams — 410368 901942 251004 47 245300334634 90328 246 266 66 — — — — — —
201628 AAA RAW2 teams — 410350 912155 43744 47 260348391739 131315 1810 324 66 — — — — — —
201729 AAA MLE2 teams — 533488 1361925 18807 149 279314357670 78317 153 284 78 — — — — — —
201729 AAA RAW2 teams — 533476 1472235 30617 149 309359399758 90338 116 329 78 — — — — — —
201830 INTL MLECharros de Jalisco — 4740 8302 5101 01 200304425729 225214 2111 — — — — — — — —
201830 INTL RAWCharros de Jalisco — 4740 8302 5101 01 200304425729 225214 2111 318 101 — — — — — —
201931 AAA MLE2 teams — 563511 1212124 1810122 52 237292309601 72284 183 265 65 — — — — — —
201931 AAA RAW2 teams — 563499 1432337 308322 52 287354387741 100328 155 330 65 — — — — — —
202032 INTL MLESultanes de Monterrey — 174163 47903 3264 61 288318399716 110326 152 — — — — — — — —
202032 INTL RAWSultanes de Monterrey — 174163 47903 3264 61 288318399716 110326 152 313 98 — — — — — —
202133 INTL MLESultanes de Monterrey — 181156 42523 13248 20 269356385741 115300 137 — — — — — — — —
202133 INTL RAWSultanes de Monterrey — 181156 42523 13248 20 269356385741 115300 137 330 110 — — — — — —
202234 INTL MLESultanes de Monterrey — 268227 68932 21251 36 300361392754 93327 98 — — — — — — — —
202234 INTL RAWSultanes de Monterrey — 268227 68932 21251 36 300361392754 93327 98 316 100 — — — — — —
202335 INTL MLESultanes de Monterrey — 5646 7100 473 10 152264174438 22179 127 — — — — — — — —
202335 INTL RAWSultanes de Monterrey — 5646 7100 473 10 152264174438 22179 127 209 28 — — — — — —
200921 AAA MLEPericos de Puebla — 5045 8101 253 02 178265267532 89178 104 241 49 — — — — — —
201022 AAA MLEPericos de Puebla — 128120 30210 4223 11 250308283592 33293 173 255 59 — — — — — —
201123 AAA MLEPericos de Puebla — 8276 20220 5181 02 263325342667 79340 226 286 80 — — — — — —
201224 AAA MLEPericos de Puebla — 275253 741331 12558 76 292362379741 87363 204 317 101 — — — — — —
201325 AAA MLE2 teams — 534484 1272147 2711318 95 262330366696 103325 215 306 93 — — — — — —
201426 AAA MLE2 teams — 556510 14227410 2911912 115 278337406743 127341 215 323 105 — — — — — —
201527 AAA MLEPericos de Puebla — 418384 871545 22829 32 227291326617 99272 205 268 68 — — — — — —
201628 AAA MLE2 teams — 410378 901942 251004 47 238300325625 87311 246 266 66 — — — — — —
201729 AAA MLE2 teams — 533503 1361925 18807 149 270314346660 76302 153 284 78 — — — — — —
201931 AAA MLE2 teams — 563518 1212124 1810122 52 234292305597 71274 183 265 65 — — — — — —
▸ Career Totals
Career— MLE — 42753822 10071673145 208787104 6649 263319359678 95318 185 239 48 -266 -6 +0 +46 +93 -13.7
/ 162G— MLE — 650581 1532557 3212016 107 263320360679 96318 185 239 48 -41 -1 +0 +7 +14 -2.1

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 AAAPericos de Puebla · 498 PAwOBA .329 → .265 (−64)K% 14.5% → 17.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.46%÷0.970×1.200——17.88%
BB% (unintentional) /PA5.02%÷1.043×0.690—×0.9623.19%
HBP% /PA4.22%—×0.940—×0.9623.81%
Singles /BIP26.36%÷1.008×0.930×0.950×0.96222.22%
Doubles /BIP6.25%÷0.964×0.830×0.950×0.9624.92%
Triples /BIP0.54%÷1.150×0.920×0.950×0.9620.40%
Home runs /BIP1.63%÷1.144×0.700—×0.9620.96%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 129, 1B 102, 2B 93, 3B 130, K 94, BB 109 — 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 ×0.950.

Result: wOBA .329 → .265; ISO .102 → .073; BABIP .332 → .274. 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 AAAPericos de Puebla · 453 PAwOBA .330 → .284 (−46)K% 11.5% → 15.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.48%÷0.920×1.200——14.97%
BB% (unintentional) /PA5.08%÷1.033×0.690—×0.9823.33%
HBP% /PA1.32%—×0.940—×0.9821.22%
Singles /BIP29.30%÷1.055×0.930×1.007×0.98225.55%
Doubles /BIP5.07%÷0.946×0.830×1.007×0.9824.40%
Triples /BIP0.56%÷1.114×0.920×1.007×0.9820.46%
Home runs /BIP1.41%÷0.910×0.700—×0.9821.06%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 82, 1B 111, 2B 89, 3B 123, K 84, BB 107 — 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 ×1.007.

Result: wOBA .330 → .284; ISO .091 → .076; BABIP .347 → .302. 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 AAAPericos de Puebla · 306 PAwOBA .321 → .266 (−55)K% 18.6% → 24.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.63%÷0.921×1.200——24.28%
BB% (unintentional) /PA9.80%÷1.091×0.690—×0.9926.15%
HBP% /PA0.33%—×0.940—×0.9920.30%
Singles /BIP24.88%÷1.048×0.930×1.038×0.99222.73%
Doubles /BIP8.61%÷1.075×0.830×1.038×0.9926.84%
Triples /BIP1.44%÷1.008×0.920×1.038×0.9921.35%
Home runs /BIP0.96%÷1.024×0.700—×0.9920.65%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 105, 1B 110, 2B 115, 3B 102, K 84, BB 118 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.038.

Result: wOBA .321 → .266; ISO .113 → .092; BABIP .353 → .311. 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 AAAPericos de Puebla · 418 PAwOBA .327 → .268 (−60)K% 14.8% → 19.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.83%÷0.913×1.200——19.49%
BB% (unintentional) /PA8.13%÷1.080×0.690—×1.0035.21%
HBP% /PA2.15%—×0.940—×1.0032.03%
Singles /BIP23.08%÷1.075×0.930×1.026×1.00320.54%
Doubles /BIP6.35%÷1.100×0.830×1.026×1.0034.93%
Triples /BIP1.67%÷1.150×0.920×1.026×1.0031.38%
Home runs /BIP2.34%÷1.062×0.700—×1.0031.55%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 112, 1B 115, 2B 120, 3B 130, K 83, BB 116 — 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 ×1.026.

Result: wOBA .327 → .268; ISO .139 → .105; BABIP .317 → .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).

2014 AAAPericos de Puebla · 467 PAwOBA .385 → .323 (−63)K% 16.3% → 21.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.27%÷0.914×1.200——21.38%
BB% (unintentional) /PA7.92%÷1.071×0.690—×1.0185.19%
HBP% /PA2.36%—×0.940—×1.0182.25%
Singles /BIP27.63%÷1.068×0.930×1.046×1.01825.61%
Doubles /BIP8.71%÷1.108×0.830×1.046×1.0186.95%
Triples /BIP1.20%÷1.150×0.920×1.046×1.0181.02%
Home runs /BIP3.30%÷0.957×0.700—×1.0182.46%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 91, 1B 114, 2B 122, 3B 130, K 83, BB 114 — 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 ×1.046.

Result: wOBA .385 → .323; ISO .171 → .133; BABIP .385 → .341. 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 AAAPericos de Puebla · 425 PAwOBA .354 → .306 (−48)K% 16.0% → 21.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.00%÷0.905×1.200——21.22%
BB% (unintentional) /PA7.29%÷1.047×0.690—×1.0334.96%
HBP% /PA3.76%—×0.940—×1.0333.66%
Singles /BIP27.42%÷1.081×0.930×1.046×1.03325.48%
Doubles /BIP6.02%÷0.984×0.830×1.046×1.0335.49%
Triples /BIP1.34%÷1.150×0.920×1.046×1.0331.16%
Home runs /BIP2.68%÷1.055×0.700—×1.0331.83%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 111, 1B 116, 2B 97, 3B 130, K 81, BB 109 — 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 ×1.046.

Result: wOBA .354 → .306; ISO .136 → .108; BABIP .355 → .325. 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 AAAPericos de Puebla · 275 PAwOBA .330 → .317 (−14)K% 16.0% → 20.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.00%÷0.957×1.200——20.07%
BB% (unintentional) /PA6.55%÷1.070×0.690—×1.0484.42%
HBP% /PA2.91%—×0.940—×1.0482.87%
Singles /BIP27.89%÷1.002×0.930×1.050×1.04828.49%
Doubles /BIP7.89%÷1.085×0.830×1.050×1.0486.64%
Triples /BIP1.58%÷1.150×0.920×1.050×1.0481.39%
Home runs /BIP0.53%÷1.044×0.700—×1.0480.37%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 109, 1B 100, 2B 117, 3B 130, K 91, BB 114 — 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 ×1.050.

Result: wOBA .330 → .317; ISO .103 → .090; BABIP .372 → .363. 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 AAAPericos de Puebla · 82 PAwOBA .308 → .286 (−22)K% 17.1% → 21.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.07%÷0.956×1.200——21.43%
BB% (unintentional) /PA8.54%÷1.064×0.690—×1.0505.81%
HBP% /PA1.22%—×0.940—×1.0501.20%
Singles /BIP27.59%÷1.012×0.930×1.050×1.05027.96%
Doubles /BIP3.45%÷1.040×0.830×1.050×1.0503.03%
Triples /BIP3.45%÷1.150×0.920×1.050×1.0503.04%
Home runs /BIP0.00%÷1.013×0.700—×1.0500.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 103, 1B 102, 2B 108, 3B 130, K 91, BB 113 — 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 ×1.050.

Result: wOBA .308 → .286; ISO .083 → .074; BABIP .345 → .340. 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 — .