Alfredo Silverio

PosLF
B/TR/R
Born1987-05-06
Age (2027)40
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2016
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201427AAA/AA/INTL3 orgs352.205/.237/.2744214—.171/.196/.230
201528AAAPiratas de Ca…110.366/.418/.71393141—.302/.327/.538
201629AAARojos del Agu…122.207/.279/.3152334—.174/.221/.243
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)
200619 ROKDSL Dodgers — 251225 621266 18444 63 276340462802 187313 187 348 32 — — — — — —
200720 ROKGCL Dodgers — 212193 72936 11323 53 373415544960 171412 155 413 88 — — — — — —
200821 AGreat Lakes Loons — 394376 9915410 7833 63 263282404687 141309 212 297 48 — — — — — —
200922 AGreat Lakes Loons — 523490 13934613 261042 25 284322457780 173334 205 340 62 — — — — — —
201023 AAChattanooga Lookouts — 1616 1000 030 00 626262125 77 190 57 -80 — — — — — —
201023 A+Inland Empire 66ers — 417387 11327612 18632 177 292327486813 194320 154 347 90 — — — — — —
201023 INTLToros del Este — 3531 11200 320 20 355412419831 65379 69 366 134 — — — — — —
201124 AAChattanooga Lookouts — 572533 163421816 30911 1112 306344542886 236340 165 379 96 — — — — — —
201124 INTLToros del Este — 6762 16301 391 11 258303355658 97288 134 293 84 — — — — — —
201427 AAANew Orleans Zephyrs — 4645 7201 190 00 156174267441 111171 202 195 -12 — — — — — —
201427 AAJacksonville Suns — 291274 58713 9693 23 212245277522 66266 243 233 17 — — — — — —
201427 INTLToros del Este — 1513 3000 140 00 231286231516 333 277 228 40 — — — — — —
201528 AAAPiratas de Campeche — 110101 37809 9190 31 3664187131.131 347384 178 485 141 — — — — — —
201629 AAARojos del Aguila de Veracruz — 122111 23602 11250 30 207279315594 108250 209 271 34 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200619 ROK MLEDSL Dodgers — 251231 40743 12544 63 173227277504 104198 225 215 32 — — — — — —
200720 ROK MLEGCL Dodgers — 212197 54625 7463 53 274309401710 127310 223 299 88 — — — — — —
200821 A MLEGreat Lakes Loons — 394378 831238 51133 63 220236331566 111278 291 239 48 — — — — — —
200922 A MLEGreat Lakes Loons — 523501 11125510 151412 25 222247351598 130284 273 260 62 — — — — — —
201023 AA MLEChattanooga Lookouts — 1616 1000 040 00 626262125 73 250 50 -80 — — — — — —
201023 A+ MLEInland Empire 66ers — 417394 10122413 11882 177 256280431712 175287 213 301 90 — — — — — —
201124 AA MLEChattanooga Lookouts — 572544 140361412 191091 1112 257284441725 184294 193 310 96 — — — — — —
201427 AAA MLENew Orleans Zephyrs — 4645 6201 1120 00 133152244397 111154 262 151 -12 — — — — — —
201427 AA MLEJacksonville Suns — 291277 49612 6833 23 177203227430 51236 292 193 17 — — — — — —
201528 AAA MLEPiratas de Campeche — 110106 32706 4220 31 302327538865 236338 204 377 141 — — — — — —
201629 AAA MLERojos del Aguila de Veracruz — 122115 20501 7300 30 174221243465 70229 256 219 34 — — — — — —
200619 ROK MLEDSL Dodgers — 251231 40743 12544 63 173227277504 104208 225 215 32 — — — — — —
200619 ROK RAWDSL Dodgers — 251225 621266 18444 63 276340462802 187313 187 348 32 — — — — — —
200720 ROK MLEGCL Dodgers — 212197 54625 7463 53 274309401710 127325 223 299 88 — — — — — —
200720 ROK RAWGCL Dodgers — 212193 72936 11323 53 373415544960 171412 155 413 88 — — — — — —
200821 A MLEGreat Lakes Loons — 394378 831238 51133 63 220236331566 111286 291 239 48 — — — — — —
200821 A RAWGreat Lakes Loons — 394376 9915410 7833 63 263282404687 141309 212 297 48 — — — — — —
200922 A MLEGreat Lakes Loons — 523501 11125510 151412 25 222247351598 130285 273 260 62 — — — — — —
200922 A RAWGreat Lakes Loons — 523490 13934613 261042 25 284322457780 173334 205 340 62 — — — — — —
201023 A+ MLE3 teams — 468443 11024514 12992 197 248271420691 172287 213 292 84 — — — — — —
201023 A+ RAW3 teams — 468434 12529612 21682 197 288324465789 177316 154 339 84 — — — — — —
201124 AA MLE2 teams — 639607 158411614 211212 1213 260287450737 189301 193 310 96 — — — — — —
201124 AA RAW2 teams — 639595 179451817 331002 1213 301340523862 222335 165 370 96 — — — — — —
201427 AA MLE3 teams — 352336 58813 7993 23 173197229426 57230 282 187 13 — — — — — —
201427 AA RAW3 teams — 352332 68914 11823 23 205237274511 69255 233 228 13 — — — — — —
201528 AAA MLEPiratas de Campeche — 110106 32706 4220 31 302327538865 236333 204 377 141 — — — — — —
201528 AAA RAWPiratas de Campeche — 110101 37809 9190 31 3664187131.131 347384 178 485 141 — — — — — —
201629 AAA MLERojos del Aguila de Veracruz — 122115 20501 7300 30 174221243465 70226 256 219 34 — — — — — —
201629 AAA RAWRojos del Aguila de Veracruz — 122111 23602 11250 30 207279315594 108250 209 271 34 — — — — — —
200619 ROK MLEDSL Dodgers — 251233 40743 12544 63 172227275501 103198 225 215 32 — — — — — —
200720 ROK MLEGCL Dodgers — 212200 54625 7463 53 270309395704 125310 223 299 88 — — — — — —
200821 A MLEGreat Lakes Loons — 394383 831238 51133 63 217236326562 110278 291 239 48 — — — — — —
200922 A MLEGreat Lakes Loons — 523501 11125510 151412 25 222247351598 130284 273 260 62 — — — — — —
201023 A+ MLE3 teams — 468451 11024514 12992 197 244271412684 169279 213 292 84 — — — — — —
201124 AA MLE2 teams — 639611 158411614 211212 1213 259287447734 188294 193 310 96 — — — — — —
201427 AA MLE3 teams — 352339 58813 7993 23 171197227424 56225 282 187 13 — — — — — —
201528 AAA MLEPiratas de Campeche — 110105 32706 4220 31 305327543870 238338 204 377 141 — — — — — —
201629 AAA MLERojos del Aguila de Veracruz — 122114 20501 7300 30 175221246467 70229 256 219 34 — — — — — —
▸ Career Totals
Career— MLE — 30712914 6661353664 9072519 5838 229256365622 137279 243 266 66 -124 -4 +0 -33 +67 -9.6
/ 162G— MLE — 650617 14229814 191534 128 230258371629 141280 243 266 66 -26 -1 +0 -7 +14 -2.0

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.

2016 AAARojos del Aguila de Veracruz · 122 PAwOBA .261 → .219 (−42)K% 20.5% → 24.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.49%÷1.015×1.200——24.22%
BB% (unintentional) /PA8.20%÷0.931×0.690—×0.9825.96%
HBP% /PA0.00%—×0.940—×0.9820.00%
Singles /BIP17.44%÷1.005×0.930×1.050×0.98216.64%
Doubles /BIP6.98%÷1.008×0.830×1.050×0.9825.92%
Triples /BIP0.00%÷0.900×0.920×1.050×0.9820.00%
Home runs /BIP2.33%÷0.999×0.700—×0.9821.60%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 101, 2B 102, 3B 80, K 103, BB 86 — 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 ×1.050.

Result: wOBA .261 → .219; ISO .108 → .082; BABIP .250 → .229. 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 AAAPiratas de Campeche · 110 PAwOBA .465 → .377 (−87)K% 17.3% → 20.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.27%÷1.025×1.200——20.22%
BB% (unintentional) /PA5.45%÷1.132×0.690—×0.9923.30%
HBP% /PA0.00%—×0.940—×0.9920.00%
Singles /BIP24.39%÷0.999×0.930×1.024×0.99223.05%
Doubles /BIP9.76%÷0.981×0.830×1.024×0.9928.38%
Triples /BIP0.00%÷0.900×0.920×1.024×0.9920.00%
Home runs /BIP10.98%÷1.067×0.700—×0.9927.14%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 113, 1B 100, 2B 96, 3B 80, K 105, BB 126 — 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 ×1.024.

Result: wOBA .465 → .377; ISO .347 → .248; BABIP .384 → .338. 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 AAJacksonville Suns · 291 PAwOBA .231 → .193 (−38)K% 23.7% → 28.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.71%÷1.010×1.220——28.64%
BB% (unintentional) /PA3.09%÷0.995×0.680—×0.9782.07%
HBP% /PA1.03%—×0.840—×0.9780.85%
Singles /BIP22.93%÷1.012×0.920×0.996×0.97820.31%
Doubles /BIP3.41%÷0.940×0.910×0.996×0.9783.22%
Triples /BIP0.49%÷1.064×0.880×0.996×0.9780.39%
Home runs /BIP1.46%÷1.006×0.800—×0.9781.14%

Factors used: league row SL. Park (home-season share, regressed): HR 101, 1B 102, 2B 88, 3B 113, K 102, BB 99 — 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 ×0.996.

Result: wOBA .231 → .193; ISO .066 → .054; BABIP .266 → .236. 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 AAANew Orleans Zephyrs · 46 PAwOBA .189 → .151 (−39)K% 19.6% → 25.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.57%÷1.008×1.290——25.04%
BB% (unintentional) /PA2.17%÷1.007×0.710—×1.0031.54%
HBP% /PA0.00%—×0.980—×1.0030.00%
Singles /BIP11.11%÷0.980×0.900—×1.00310.24%
Doubles /BIP5.56%÷0.923×0.810—×1.0034.89%
Triples /BIP0.00%÷0.900×0.810—×1.0030.00%
Home runs /BIP2.78%÷1.098×0.780—×1.0031.98%

Factors used: league row PCL. Park (home-season share, regressed): HR 120, 1B 96, 2B 85, 3B 80, K 102, BB 101 — 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).

Result: wOBA .189 → .151; ISO .111 → .081; BABIP .171 → .154. 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 AAChattanooga Lookouts · 572 PAwOBA .370 → .310 (−60)K% 15.9% → 19.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.91%÷1.024×1.220——18.96%
BB% (unintentional) /PA4.72%÷0.981×0.680—×1.0123.31%
HBP% /PA0.17%—×0.840—×1.0120.15%
Singles /BIP19.68%÷1.036×0.920×0.996×1.01217.63%
Doubles /BIP9.50%÷1.062×0.910×0.996×1.0128.21%
Triples /BIP4.07%÷1.150×0.880×0.996×1.0123.14%
Home runs /BIP3.62%÷1.043×0.800—×1.0122.81%

Factors used: league row SL. Park (home-season share, regressed): HR 109, 1B 107, 2B 112, 3B 130, K 105, BB 96 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.996.

Result: wOBA .370 → .310; ISO .236 → .191; BABIP .340 → .294. 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+Inland Empire 66ers · 417 PAwOBA .339 → .301 (−38)K% 15.1% → 21.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.11%÷0.956×1.340——21.18%
BB% (unintentional) /PA3.84%÷1.037×0.710—×0.9982.62%
HBP% /PA0.48%—×0.790—×0.9980.38%
Singles /BIP20.99%÷1.003×0.910×1.024×0.99819.46%
Doubles /BIP8.33%÷0.984×0.820×1.024×0.9987.09%
Triples /BIP1.85%÷1.083×0.760×1.024×0.9981.33%
Home runs /BIP3.70%÷0.819×0.920—×0.9984.15%

Factors used: league row CAL. Park (home-season share, regressed): HR 64, 1B 101, 2B 97, 3B 117, K 91, 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.024.

Result: wOBA .339 → .301; ISO .194 → .181; BABIP .320 → .287. 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 AAChattanooga Lookouts · 16 PAwOBA .055 → .050 (−5)K% 18.8% → 22.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.75%÷1.005×1.220——22.75%
BB% (unintentional) /PA0.00%÷1.036×0.680—×1.0270.00%
HBP% /PA0.00%—×0.840—×1.0270.00%
Singles /BIP7.69%÷0.998×0.920—×1.0277.28%
Doubles /BIP0.00%÷1.030×0.910—×1.0270.00%
Triples /BIP0.00%÷1.131×0.880—×1.0270.00%
Home runs /BIP0.00%÷1.001×0.800—×1.0270.00%

Factors used: league row SL. Park (home-season share, regressed): HR 100, 1B 100, 2B 106, 3B 126, K 101, BB 107 — 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 .055 → .050; ISO .000 → .000; BABIP .077 → .073. 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 AGreat Lakes Loons · 523 PAwOBA .330 → .260 (−71)K% 19.9% → 27.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.89%÷1.000×1.360——27.04%
BB% (unintentional) /PA4.21%÷1.000×0.690——2.90%
HBP% /PA0.38%—×0.780——0.30%
Singles /BIP22.28%÷1.000×0.920×0.956—19.59%
Doubles /BIP8.81%÷1.000×0.830×0.956—6.99%
Triples /BIP1.55%÷1.000×0.910×0.956—1.35%
Home runs /BIP3.37%÷1.000×0.800——2.69%

Factors used: level-wide A 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 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.956.

Result: wOBA .330 → .260; ISO .173 → .132; BABIP .334 → .284. 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 — .