Eugenio Velez

Pos2B
B/TS/R
Born1982-05-16
Age (2027)45
No MLB projection yet. Career stats below are historical.
Overview
INTLLAST SEASON 2018
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201634AAA/INTL2 orgs545.273/.345/.35142173—.249/.298/.325
201735AAA/INTL2 orgs122.161/.210/.2592512—.172/.197/.297
201836INTLAguilas de Me…85.266/.318/.39212101—
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)
200523 ALansing Lugnuts — 254239 681134 9402 75 285316406722 121322 164 316 65 — — — — — —
200624 AAugusta GreenJackets — 508460 145292014 34818 6415 315373557929 241354 167 399 109 — — — — — —
200725 AAAFresno Grizzlies — 2118 5000 231 50 278381278659 333 1410 317 71 — — — — — —
200725 AAConnecticut Defenders — 411376 1121791 26662 4917 298347399745 101356 166 328 90 — — — — — —
200826 MLBSan Francisco Giants — 292275 721671 14401 156 262300382682 120302 145 301 87 -5 +1 -2 +2 +6 0.2
200826 AAAFresno Grizzlies — 188171 531145 17320 139 310372509881 199358 179 387 100 — — — — — —
200927 MLBSan Francisco Giants — 307285 761355 16552 115 267310400710 133313 185 312 96 -2 +0 -2 -5 +7 -0.2
200927 AAAFresno Grizzlies — 197182 541333 13260 169 297344451794 154329 137 348 83 — — — — — —
201028 MLBSan Francisco Giants — 6655 9202 690 00 164246309555 145159 149 234 49 -4 +0 +1 -5 +1 -0.7
201028 AAAFresno Grizzlies — 352321 971357 24551 3116 302353439792 137347 167 347 86 — — — — — —
201028 INTLEstrellas de Oriente — 8274 17400 8260 41 230305284589 54354 3210 274 72 — — — — — —
201129 MLBLos Angeles Dodgers — 4037 0000 2111 10 7575 285 53 -77 -8 +0 -0 +1 +1 -0.6
201129 AAAAlbuquerque Isotopes — 235218 741532 11361 66 339374463837 124396 155 364 77 — — — — — —
201129 INTLEstrellas de Oriente — 130110 27621 12272 42 245331364694 118317 219 301 90 — — — — — —
201230 AAAMemphis Redbirds — 516457 12834511 51995 379 280359449807 168336 1910 357 84 — — — — — —
201230 INTLToros del Este — 197174 401115 18461 208 230306391697 161282 239 306 93 — — — — — —
201331 AAANashville Sounds — 434373 1172069 54631 308 314402472874 158354 1512 384 96 — — — — — —
201331 INTLDominican Republic — 10995 26523 11161 84 274355463818 189303 1510 356 127 — — — — — —
201432 AAANashville Sounds — 441404 1252447 31684 2615 309364441805 131356 157 358 81 — — — — — —
201432 INTLToros del Este — 203181 47314 16312 116 260327354680 94293 158 304 92 — — — — — —
201533 AAATigres de Quintana Roo — 375339 981723 30652 274 289350378728 88348 178 327 78 — — — — — —
201533 INTLToros del Este — 186166 58712 15281 46 349407440846 90409 158 373 139 — — — — — —
201634 AAAAcereros del Norte — 335291 821224 32463 146 282359378737 96318 1410 327 70 — — — — — —
201634 INTLCaneros de los Mochis — 210188 49520 17200 72 261322309630 48290 108 283 78 — — — — — —
201735 AAATigres de Quintana Roo — 6862 11202 450 21 177227306534 129158 76 233 18 — — — — — —
201735 INTLToros del Este — 5450 7110 3110 31 140189200389 60179 206 176 5 — — — — — —
201836 INTLAguilas de Mexicali — 8579 21321 6150 23 266318392710 127317 187 317 101 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 705652 15731128 381154 2711 241287362649 121280 165 285 79 -17 +1 -2 -8 +15 -1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200523 A MLELansing Lugnuts — 254242 60933 6542 75 248272347619 99291 212 264 65 — — — — — —
200624 A MLEAugusta GreenJackets — 508473 129241911 211098 6415 273315474788 201319 214 329 109 — — — — — —
200725 AAA MLEFresno Grizzlies — 2119 5000 141 50 263333263596 310 195 273 71 — — — — — —
200725 AA MLEConnecticut Defenders — 411384 1101591 18812 4917 286322380702 94349 204 301 90 — — — — — —
200826 MLB MLESan Francisco Giants — 292277 721671 12401 156 260293379672 119302 144 296 87 -5 +1 -2 +2 +6 0.2
200826 AAA MLEFresno Grizzlies — 188176 46934 12410 139 261309415723 153328 226 316 100 — — — — — —
200927 MLB MLESan Francisco Giants — 307286 761355 15552 115 266307399706 133313 185 310 96 -2 +0 -2 -5 +7 -0.2
200927 AAA MLEFresno Grizzlies — 197187 491132 8330 169 262292385677 123296 174 291 83 — — — — — —
201028 MLB MLESan Francisco Giants — 6655 9202 690 00 164246309555 145159 149 240 49 -4 +0 +1 -5 +1 -0.7
201028 AAA MLEFresno Grizzlies — 352328 901245 17731 3116 274312381693 107331 215 296 86 — — — — — —
201129 MLB MLELos Angeles Dodgers — 4037 0000 2111 10 7575 285 55 -77 -8 +0 -0 +1 +1 -0.6
201129 AAA MLEAlbuquerque Isotopes — 235221 591221 8501 66 267296353649 86330 213 282 77 — — — — — —
201230 AAA MLEMemphis Redbirds — 516475 1143048 331245 379 240296371667 131305 246 292 84 — — — — — —
201331 AAA MLENashville Sounds — 434393 1041567 34841 308 265325387712 122308 198 310 96 — — — — — —
201432 AAA MLENashville Sounds — 441416 1081836 19914 2615 260298361659 101315 214 288 81 — — — — — —
201533 AAA MLETigres de Quintana Roo — 375351 941522 18732 274 268307339646 71325 195 283 78 — — — — — —
201634 AAA MLEAcereros del Norte — 335305 761023 18563 146 249298325622 75279 175 271 70 — — — — — —
201735 AAA MLETigres de Quintana Roo — 6864 11202 260 21 172197297494 125141 93 195 18 — — — — — —
200523 A MLELansing Lugnuts — 254242 60933 6542 75 248272347619 99302 212 264 65 — — — — — —
200523 A RAWLansing Lugnuts — 254239 681134 9402 75 285316406722 121322 164 316 65 — — — — — —
200624 A MLEAugusta GreenJackets — 508473 129241911 211098 6415 273315474788 201330 214 329 109 — — — — — —
200624 A RAWAugusta GreenJackets — 508460 145292014 34818 6415 315373557929 241354 167 399 109 — — — — — —
200725 AA MLE2 teams — 432402 1151591 20843 5417 286325376700 90356 195 300 89 — — — — — —
200725 AA RAW2 teams — 432394 1171791 28693 5417 297348393742 96355 166 328 89 — — — — — —
200826 MLB MLE2 teams — 480453 11825105 24811 2815 260299393692 132307 175 304 92 -5 -0 -2 +2 +10 0.5
200826 MLB RAW2 teams — 480446 12527116 31721 2815 280328430759 150322 156 335 92 -5 -0 -2 +2 +10 0.5
200927 MLB MLE2 teams — 504473 1252487 23882 2714 264301393694 129309 175 302 91 -6 -0 -2 -5 +11 -0.2
200927 MLB RAW2 teams — 504467 1302688 29812 2714 278323420743 141319 166 326 91 -6 -0 -2 -5 +11 -0.2
201028 AAA MLE3 teams — 500460 1181659 28981 3517 257301372672 115309 206 287 80 — — — — — —
201028 AAA RAW3 teams — 500450 1231959 38901 3517 273331398729 124325 188 320 80 — — — — — —
201129 AAA MLE3 teams — 405376 881832 14904 118 234269314583 80301 223 249 55 — — — — — —
201129 AAA RAW3 teams — 405365 1012153 25744 118 277330386716 110338 186 313 55 — — — — — —
201230 AAA MLE2 teams — 713655 15942512 451716 5717 243297377675 134310 246 292 84 — — — — — —
201230 AAA RAW2 teams — 713631 16845616 691456 5717 266344433777 166322 2010 343 84 — — — — — —
201331 AAA MLE2 teams — 543490 1301979 431052 3812 265327388715 122318 198 310 96 — — — — — —
201331 AAA RAW2 teams — 543468 14325812 65792 3812 306393470863 165344 1512 378 96 — — — — — —
201432 AAA MLE2 teams — 644604 1572658 281336 3721 260299359659 99320 214 288 81 — — — — — —
201432 AAA RAW2 teams — 644585 17227511 47996 3721 294353414766 120337 157 341 81 — — — — — —
201533 AAA MLE2 teams — 561523 1412333 271093 3110 270309342651 73333 195 283 78 — — — — — —
201533 AAA RAW2 teams — 561505 1562435 45933 3110 309369398767 89368 178 342 78 — — — — — —
201634 AAA MLE2 teams — 545499 1241735 29913 218 248294325618 76292 175 271 70 — — — — — —
201634 AAA RAW2 teams — 545479 1311744 49663 218 273345351695 77307 129 310 70 — — — — — —
201735 AAA MLE2 teams — 122115 18303 4110 52 157185261446 104146 93 195 18 — — — — — —
201735 AAA RAW2 teams — 122112 18312 7160 52 161210259469 98167 136 208 18 — — — — — —
201836 INTL MLEAguilas de Mexicali — 8579 21321 6150 23 266318392710 127317 187 — — — — — — — —
201836 INTL RAWAguilas de Mexicali — 8579 21321 6150 23 266318392710 127317 187 317 101 — — — — — —
200523 A MLELansing Lugnuts — 254244 60933 6542 75 246272344616 98291 212 264 65 — — — — — —
200624 A MLEAugusta GreenJackets — 508474 129241911 211098 6415 272315473787 200319 214 329 109 — — — — — —
200725 AA MLE2 teams — 432406 1151591 20843 5417 283325372697 89347 195 300 89 — — — — — —
200826 MLB MLE2 teams — 480452 11825105 24811 2815 261299394693 133312 175 304 92 — — — — — —
200927 MLB MLE2 teams — 504474 1252487 23882 2714 264301392694 129306 175 302 91 — — — — — —
201028 AAA MLE3 teams — 500467 1181659 28981 3517 253301366667 113304 206 287 80 — — — — — —
201129 AAA MLE3 teams — 405384 881832 14904 118 229269307576 78282 223 249 55 — — — — — —
201230 AAA MLE2 teams — 713656 15942512 451716 5717 242297377674 134305 246 292 84 — — — — — —
201331 AAA MLE2 teams — 543493 1301979 431052 3812 264327385712 122308 198 310 96 — — — — — —
201432 AAA MLE2 teams — 644605 1572658 281336 3721 260299359658 99315 214 288 81 — — — — — —
201533 AAA MLE2 teams — 561526 1412333 271093 3110 268309340650 72325 195 283 78 — — — — — —
201634 AAA MLE2 teams — 545508 1241735 29913 218 244294319613 75279 175 271 70 — — — — — —
201735 AAA MLE2 teams — 122117 18303 4110 52 154185256441 103141 93 195 18 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 705652 15731128 381154 2711 241287362649 121280 165 285 79 -17 +1 -2 -8 +15 -1.1
/ 162G— A+C — 650601 14529117 351064 2510 241287361649 120281 165 285 79 -16 +1 -2 -7 +14 -1.0
Career— MLE — 62965844 15032648279 318123941 417164 257300371671 114312 205 286 79 -17 +1 -2 -8 +15 -1.1
/ 162G— MLE — 650603 1542788 331284 4317 255298367665 111310 205 286 79 -16 +1 -2 -7 +14 -1.0

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.

2017 AAATigres de Quintana Roo · 68 PAwOBA .234 → .195 (−39)K% 7.4% → 8.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA7.35%÷0.990×1.200——8.91%
BB% (unintentional) /PA5.88%÷1.047×0.690—×0.9403.64%
HBP% /PA0.00%—×0.940—×0.9400.00%
Singles /BIP12.28%÷0.975×0.930×1.027×0.94011.31%
Doubles /BIP3.51%÷0.960×0.830×1.027×0.9402.93%
Triples /BIP0.00%÷1.150×0.920×1.027×0.9400.00%
Home runs /BIP3.51%÷0.898×0.700—×0.9402.57%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 80, 1B 95, 2B 92, 3B 130, K 98, BB 109 — applied at half strength. Age: age 35 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (7.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.027.

Result: wOBA .234 → .195; ISO .129 → .102; BABIP .158 → .141. 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 · 335 PAwOBA .319 → .271 (−48)K% 13.7% → 16.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.73%÷0.989×1.200——16.66%
BB% (unintentional) /PA8.66%÷1.059×0.690—×0.9405.30%
HBP% /PA0.90%—×0.940—×0.9400.79%
Singles /BIP26.12%÷1.011×0.930×1.040×0.94023.49%
Doubles /BIP4.90%÷1.013×0.830×1.040×0.9403.92%
Triples /BIP0.82%÷1.124×0.920×1.040×0.9400.65%
Home runs /BIP1.63%÷0.941×0.700—×0.9401.14%

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 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 ×1.040.

Result: wOBA .319 → .271; ISO .096 → .077; BABIP .318 → .279. 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 AAATigres de Quintana Roo · 375 PAwOBA .319 → .283 (−36)K% 17.3% → 19.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.33%÷1.070×1.200——19.44%
BB% (unintentional) /PA7.73%÷1.023×0.690—×0.9424.91%
HBP% /PA0.53%—×0.940—×0.9420.47%
Singles /BIP27.74%÷0.961×0.930×1.050×0.94226.55%
Doubles /BIP6.20%÷0.953×0.830×1.050×0.9425.34%
Triples /BIP0.73%÷0.997×0.920×1.050×0.9420.67%
Home runs /BIP1.09%÷1.118×0.700—×0.9420.65%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 124, 1B 92, 2B 91, 3B 99, K 114, BB 105 — 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 ×1.050.

Result: wOBA .319 → .283; ISO .088 → .072; BABIP .348 → .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).

2014 AAANashville Sounds · 441 PAwOBA .349 → .288 (−62)K% 15.4% → 20.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.42%÷0.964×1.290——20.63%
BB% (unintentional) /PA6.80%÷1.040×0.710—×0.9524.42%
HBP% /PA0.91%—×0.980—×0.9520.85%
Singles /BIP26.79%÷0.975×0.900×1.050×0.95224.70%
Doubles /BIP7.14%÷1.051×0.810×1.050×0.9525.50%
Triples /BIP1.19%÷1.018×0.810×1.050×0.9520.95%
Home runs /BIP2.08%÷0.875×0.780—×0.9521.77%

Factors used: league row PCL. Park (home-season share, regressed): HR 75, 1B 95, 2B 110, 3B 104, K 93, BB 108 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .349 → .288; ISO .131 → .103; BABIP .356 → .315. 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 AAANashville Sounds · 434 PAwOBA .377 → .310 (−67)K% 14.5% → 19.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.52%÷0.971×1.290——19.28%
BB% (unintentional) /PA12.21%÷1.054×0.710—×0.9627.91%
HBP% /PA0.23%—×0.980—×0.9620.22%
Singles /BIP26.45%÷1.001×0.900×1.050×0.96224.03%
Doubles /BIP6.45%÷1.119×0.810×1.050×0.9624.72%
Triples /BIP1.94%÷0.900×0.810×1.050×0.9621.76%
Home runs /BIP2.90%÷0.934×0.780—×0.9622.33%

Factors used: league row PCL. Park (home-season share, regressed): HR 87, 1B 100, 2B 124, 3B 80, K 94, BB 111 — 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 ×1.050.

Result: wOBA .377 → .310; ISO .158 → .129; BABIP .354 → .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).

2012 AAAMemphis Redbirds · 516 PAwOBA .347 → .292 (−55)K% 19.2% → 24.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.19%÷1.033×1.290——23.95%
BB% (unintentional) /PA9.30%÷1.014×0.710—×0.9726.33%
HBP% /PA0.97%—×0.980—×0.9720.92%
Singles /BIP21.79%÷0.985×0.900×1.050×0.97220.32%
Doubles /BIP9.50%÷0.916×0.810×1.050×0.9728.57%
Triples /BIP1.40%÷1.150×0.810×1.050×0.9721.00%
Home runs /BIP3.07%÷0.993×0.780—×0.9722.35%

Factors used: league row PCL. Park (home-season share, regressed): HR 99, 1B 97, 2B 83, 3B 130, K 107, BB 103 — 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 ×1.050.

Result: wOBA .347 → .292; ISO .168 → .137; BABIP .336 → .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).

2011 AAAAlbuquerque Isotopes · 235 PAwOBA .357 → .282 (−75)K% 15.3% → 21.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.32%÷0.928×1.290——21.30%
BB% (unintentional) /PA4.68%÷1.012×0.710—×0.9823.22%
HBP% /PA0.43%—×0.980—×0.9820.41%
Singles /BIP29.67%÷1.096×0.900×1.050×0.98225.12%
Doubles /BIP8.24%÷1.012×0.810×1.050×0.9826.80%
Triples /BIP1.65%÷1.150×0.810×1.050×0.9821.20%
Home runs /BIP1.10%÷1.173×0.780—×0.9820.72%

Factors used: league row PCL. Park (home-season share, regressed): HR 135, 1B 119, 2B 102, 3B 130, K 86, BB 102 — 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 .357 → .282; ISO .124 → .092; BABIP .396 → .330. 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 AAAFresno Grizzlies · 352 PAwOBA .337 → .296 (−41)K% 15.6% → 20.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.62%÷0.969×1.290——20.79%
BB% (unintentional) /PA6.82%÷0.981×0.710—×0.9924.90%
HBP% /PA0.28%—×0.980—×0.9920.28%
Singles /BIP27.07%÷0.951×0.900×1.041×0.99226.43%
Doubles /BIP4.89%÷0.910×0.810×1.041×0.9924.49%
Triples /BIP1.88%÷1.022×0.810×1.041×0.9921.54%
Home runs /BIP2.63%÷1.047×0.780—×0.9921.94%

Factors used: league row PCL. Park (home-season share, regressed): HR 109, 1B 90, 2B 82, 3B 104, K 94, BB 96 — 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 ×1.041.

Result: wOBA .337 → .296; ISO .137 → .109; BABIP .347 → .331. 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 — .