Luis Figueroa

Pos2B
B/TS/R
Born1974-02-16
Age (2027)53
No MLB projection yet. Career stats below are historical.
Overview
INTLLAST SEASON 2015
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WAR
201339INTLPuerto Rico169.240/.287/.3442173—
201440INTLPuerto Rico159.275/.344/.39411108—
201541INTLIndios de May…27.280/.333/.3200089—
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)
200531 AAAPawtucket Red Sox — 439402 1162217 29281 26 289338400738 112293 67 326 72 — — — — — —
200632 AAASyracuse SkyChiefs — 417377 1042236 24352 119 276323398720 122287 86 311 68 — — — — — —
200733 AAAFresno Grizzlies — 492443 1342244 28345 79 302351397748 95319 76 326 67 — — — — — —
200834 AAAIowa Cubs — 419370 1111812 33301 12 300359370729 70318 78 320 70 — — — — — —
200935 AAASalt Lake Bees — 123116 28711 580 01 241273345618 103248 74 271 34 — — — — — —
200935 ROKAZL Angels — 1615 7100 100 00 4675005331.033 67467 06 463 117 — — — — — —
201036 AAASalt Lake Bees — 494457 1462745 25192 32 319357429786 109322 45 344 68 — — — — — —
201036 INTLPuerto Rico — 199180 621232 14130 13 344392478870 133359 77 376 141 — — — — — —
201137 AAABuffalo Bisons — 442398 1172321 36411 15 294354369723 75322 98 324 62 — — — — — —
201137 INTLPuerto Rico — 181158 39311 14141 11 247312297610 51262 88 270 69 — — — — — —
201238 AAAGuerreros de Oaxaca — 296264 761221 20171 12 288340360700 72305 67 306 63 — — — — — —
201238 INTLCangrejeros de Santurce — 159151 38402 4140 42 252271318589 66263 93 258 61 — — — — — —
201339 INTLPuerto Rico — 169154 371002 10180 12 240287344631 104261 116 276 73 — — — — — —
201440 INTLPuerto Rico — 159142 391211 15110 10 275344394738 120292 79 328 108 — — — — — —
201541 INTLIndios de Mayaguez — 2725 7100 220 00 280333320653 40304 77 300 89 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200531 AAA MLEPawtucket Red Sox — 439412 1041816 19341 26 252287345632 92256 84 275 72 — — — — — —
200632 AAA MLESyracuse SkyChiefs — 417386 951835 15422 119 246278347625 101251 104 268 68 — — — — — —
200733 AAA MLEFresno Grizzlies — 492452 1161833 19445 79 257294330624 73266 94 267 67 — — — — — —
200834 AAA MLEIowa Cubs — 419383 1021512 20391 12 266304326631 60275 95 271 70 — — — — — —
200935 AAA MLESalt Lake Bees — 123118 24511 3100 01 203223288511 85206 82 218 34 — — — — — —
200935 ROK MLEAZL Angels — 1615 6100 100 00 400438467904 67353 06 341 117 — — — — — —
201036 AAA MLESalt Lake Bees — 494466 1192134 16252 32 255283339622 84255 53 269 68 — — — — — —
201137 AAA MLEBuffalo Bisons — 442413 1031921 21481 15 249287312600 63269 115 260 62 — — — — — —
201238 AAA MLEGuerreros de Oaxaca — 296272 71921 12221 12 261295320615 59271 74 261 63 — — — — — —
200531 AAA MLEPawtucket Red Sox — 439412 1041816 19341 26 252287345632 92260 84 275 72 — — — — — —
200531 AAA RAWPawtucket Red Sox — 439402 1162217 29281 26 289338400738 112293 67 326 72 — — — — — —
200632 AAA MLESyracuse SkyChiefs — 417386 951835 15422 119 246278347625 101261 104 268 68 — — — — — —
200632 AAA RAWSyracuse SkyChiefs — 417377 1042236 24352 119 276323398720 122287 86 311 68 — — — — — —
200733 AAA MLEFresno Grizzlies — 492452 1161833 19445 79 257294330624 73277 94 267 67 — — — — — —
200733 AAA RAWFresno Grizzlies — 492443 1342244 28345 79 302351397748 95319 76 326 67 — — — — — —
200834 AAA MLEIowa Cubs — 419383 1021512 20391 12 266304326631 60288 95 271 70 — — — — — —
200834 AAA RAWIowa Cubs — 419370 1111812 33301 12 300359370729 70318 78 320 70 — — — — — —
200935 AAA MLE2 teams — 139133 29611 4100 01 218241301542 83226 73 232 43 — — — — — —
200935 AAA RAW2 teams — 139131 35811 680 01 267299366666 99274 64 293 43 — — — — — —
201036 AAA MLE2 teams — 693654 1673045 22352 45 255282336618 81261 53 269 68 — — — — — —
201036 AAA RAW2 teams — 693637 2083977 39322 45 327367443810 116332 56 353 68 — — — — — —
201137 AAA MLE2 teams — 623577 1442631 29672 26 250288310598 61278 115 260 62 — — — — — —
201137 AAA RAW2 teams — 623556 1562632 50552 26 281342349691 68305 98 308 62 — — — — — —
201238 AAA MLE2 teams — 455421 1091431 18341 54 259291314604 55278 74 261 63 — — — — — —
201238 AAA RAW2 teams — 455415 1141623 24311 54 275316345660 70290 75 289 63 — — — — — —
201339 INTL MLEPuerto Rico — 169154 371002 10180 12 240287344631 104261 116 — — — — — — — —
201339 INTL RAWPuerto Rico — 169154 371002 10180 12 240287344631 104261 116 276 73 — — — — — —
201440 INTL MLEPuerto Rico — 159142 391211 15110 10 275344394738 120292 79 — — — — — — — —
201440 INTL RAWPuerto Rico — 159142 391211 15110 10 275344394738 120292 79 328 108 — — — — — —
201541 INTL MLEIndios de Mayaguez — 2725 7100 220 00 280333320653 40304 77 — — — — — — — —
201541 INTL RAWIndios de Mayaguez — 2725 7100 220 00 280333320653 40304 77 300 89 — — — — — —
200531 AAA MLEPawtucket Red Sox — 439416 1041816 19341 26 250287341628 91256 84 275 72 — — — — — —
200632 AAA MLESyracuse SkyChiefs — 417397 951835 15422 119 239278338615 98251 104 268 68 — — — — — —
200733 AAA MLEFresno Grizzlies — 492465 1161833 19445 79 249294320615 71266 94 267 67 — — — — — —
200834 AAA MLEIowa Cubs — 419395 1021512 20391 12 258304316621 58275 95 271 70 — — — — — —
200935 AAA MLE2 teams — 139134 29611 4100 01 216241299539 82223 73 232 43 — — — — — —
201036 AAA MLE2 teams — 693664 1673045 22352 45 252282331613 80255 53 269 68 — — — — — —
201137 AAA MLE2 teams — 623587 1442631 29672 26 245288305593 60269 115 260 62 — — — — — —
201238 AAA MLE2 teams — 455433 1091431 18341 54 252291305596 53271 74 261 63 — — — — — —
▸ Career Totals
Career— MLE — 40323739 9491682027 17333614 3444 254289331620 77270 84 242 50 -239 -11 -0 +18 +87 -14.8
/ 162G— MLE — 650603 1522734 28542 57 252288327614 75269 84 242 50 -39 -2 -0 +3 +14 -2.4

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.

2012 AAAGuerreros de Oaxaca · 296 PAwOBA .297 → .261 (−36)K% 5.7% → 7.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA5.74%÷0.931×1.200——7.40%
BB% (unintentional) /PA6.42%÷1.056×0.690—×0.9403.94%
HBP% /PA0.34%—×0.940—×0.9400.30%
Singles /BIP24.70%÷0.985×0.930×1.038×0.94022.75%
Doubles /BIP4.86%÷1.118×0.830×1.038×0.9403.52%
Triples /BIP0.81%÷0.961×0.920×1.038×0.9400.76%
Home runs /BIP0.40%÷1.045×0.700—×0.9400.25%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 109, 1B 97, 2B 124, 3B 92, K 86, BB 111 — applied at half strength. Age: age 38 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (10.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.038.

Result: wOBA .297 → .261; ISO .072 → .057; BABIP .305 → .271. 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 AAABuffalo Bisons · 442 PAwOBA .317 → .260 (−57)K% 9.3% → 10.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA9.28%÷1.026×1.200——10.85%
BB% (unintentional) /PA7.92%÷1.088×0.690—×0.9404.72%
HBP% /PA0.23%—×0.940—×0.9400.20%
Singles /BIP25.49%÷1.008×0.930×0.979×0.94021.64%
Doubles /BIP6.44%÷0.977×0.830×0.979×0.9405.03%
Triples /BIP0.56%÷0.981×0.970×0.979×0.9400.51%
Home runs /BIP0.28%÷1.139×0.840—×0.9400.19%

Factors used: league row IL. Park (home-season share, regressed): HR 128, 1B 102, 2B 95, 3B 96, K 105, BB 118 — applied at half strength. Age: age 37 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (9.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.979.

Result: wOBA .317 → .260; ISO .075 → .062; BABIP .322 → .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).

2010 AAASalt Lake Bees · 494 PAwOBA .338 → .269 (−68)K% 3.8% → 5.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA3.85%÷0.980×1.290——5.06%
BB% (unintentional) /PA4.86%÷1.016×0.710—×0.9403.19%
HBP% /PA0.40%—×0.980—×0.9400.37%
Singles /BIP25.11%÷1.060×0.900×1.008×0.94020.21%
Doubles /BIP6.16%÷0.999×0.810×1.008×0.9404.73%
Triples /BIP0.91%÷1.035×0.810×1.008×0.9400.68%
Home runs /BIP1.14%÷1.011×0.780—×0.9400.83%

Factors used: league row PCL. Park (home-season share, regressed): HR 102, 1B 112, 2B 100, 3B 107, K 96, BB 103 — applied at half strength. Age: age 36 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (8.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.

Result: wOBA .338 → .269; ISO .109 → .085; BABIP .322 → .255. 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 AAASalt Lake Bees · 123 PAwOBA .268 → .218 (−50)K% 6.5% → 8.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA6.50%÷1.000×1.290——8.39%
BB% (unintentional) /PA4.07%÷1.000×0.710—×0.9402.71%
HBP% /PA0.00%—×0.980—×0.9400.00%
Singles /BIP17.59%÷1.000×0.900×1.015×0.94015.11%
Doubles /BIP6.48%÷1.000×0.810×1.015×0.9405.01%
Triples /BIP0.93%÷1.000×0.810×1.015×0.9400.72%
Home runs /BIP0.93%÷1.000×0.780—×0.9400.68%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.015.

Result: wOBA .268 → .218; ISO .103 → .080; BABIP .248 → .206. 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 ROKAZL Angels · 16 PAwOBA .451 → .341 (−110)K% 0.0% → 0.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA0.00%÷1.000×1.440——0.00%
BB% (unintentional) /PA6.25%÷1.000×0.620—×0.9403.64%
HBP% /PA0.00%—×0.720—×0.9400.00%
Singles /BIP40.00%÷1.000×0.820—×0.94030.83%
Doubles /BIP6.67%÷1.000×0.720—×0.9404.51%
Triples /BIP0.00%÷1.000×0.720—×0.9400.00%
Home runs /BIP0.00%÷1.000×0.780—×0.9400.00%

Factors used: level-wide ROK 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 35 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (15.5 yr older than average).

Result: wOBA .451 → .341; ISO .067 → .046; BABIP .467 → .353. 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 AAAIowa Cubs · 419 PAwOBA .313 → .271 (−42)K% 7.2% → 9.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA7.16%÷1.000×1.290——9.24%
BB% (unintentional) /PA7.16%÷1.000×0.710—×0.9404.78%
HBP% /PA0.24%—×0.980—×0.9400.22%
Singles /BIP26.47%÷1.000×0.900×1.042×0.94023.34%
Doubles /BIP5.29%÷1.000×0.810×1.042×0.9404.20%
Triples /BIP0.29%÷1.000×0.810×1.042×0.9400.23%
Home runs /BIP0.59%÷1.000×0.780—×0.9400.43%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.042.

Result: wOBA .313 → .271; ISO .070 → .058; BABIP .318 → .275. 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 AAAFresno Grizzlies · 492 PAwOBA .319 → .267 (−53)K% 6.9% → 8.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA6.91%÷1.000×1.290——8.91%
BB% (unintentional) /PA5.69%÷1.000×0.710—×0.9423.81%
HBP% /PA1.02%—×0.980—×0.9420.94%
Singles /BIP25.43%÷1.000×0.900×1.007×0.94221.72%
Doubles /BIP5.38%÷1.000×0.810×1.007×0.9424.13%
Triples /BIP0.98%÷1.000×0.810×1.007×0.9420.75%
Home runs /BIP0.98%÷1.000×0.780—×0.9420.72%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.007.

Result: wOBA .319 → .267; ISO .095 → .075; BABIP .319 → .266. 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 AAASyracuse SkyChiefs · 417 PAwOBA .307 → .268 (−39)K% 8.4% → 10.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA8.39%÷1.000×1.200——10.07%
BB% (unintentional) /PA5.52%÷1.000×0.690—×0.9523.62%
HBP% /PA0.48%—×0.940—×0.9520.43%
Singles /BIP21.35%÷1.000×0.930×1.015×0.95219.18%
Doubles /BIP6.43%÷1.000×0.830×1.015×0.9525.16%
Triples /BIP0.88%÷1.000×0.970×1.015×0.9520.82%
Home runs /BIP1.75%÷1.000×0.840—×0.9521.40%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.015.

Result: wOBA .307 → .268; ISO .122 → .105; BABIP .287 → .251. 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 — .