Ivan Araujo

PosLF
B/TR/R
Born1984-01-29
Age (2027)43
No MLB projection yet. Career stats below are historical.
Overview
INTLLAST SEASON 2018
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201632AAAVaqueros de l…209.283/.337/.3532567—.262/.302/.309
201733AAA/INTL2 orgs343.290/.344/.3572670—.269/.312/.325
201834INTLMayos de Navo…31.259/.333/.3330088—
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)
200622 AAAVaqueros Laguna — 2922 5200 691 10 227414318732 91385 3121 352 82 — — — — — —
200723 AAAVaqueros Laguna — 344290 81773 38727 42 279376383759 103359 2111 338 98 — — — — — —
200824 AAAVaqueros Laguna — 286253 78950 19614 103 308366383749 75402 217 328 99 — — — — — —
200925 AAAVaqueros Laguna — 236207 61924 17432 12 295354415769 121350 187 331 93 — — — — — —
201026 AAAVaqueros de la Laguna — 447413 1361828 22780 208 329363441804 111388 175 349 94 — — — — — —
201026 INTLAlgodoneros de Guasave — 4343 10310 040 00 233233349581 116256 90 253 58 — — — — — —
201127 AAAVaqueros de la Laguna — 266238 841817 22413 63 353414525940 172401 158 411 118 — — — — — —
201228 AAAVaqueros de la Laguna — 300273 871644 21625 124 319378451828 132401 217 369 78 — — — — — —
201228 INTLAlgodoneros de Guasave — 124112 25534 6301 10 223269429697 205263 245 293 84 — — — — — —
201329 AAAVaqueros de la Laguna — 492456 152241216 24865 156 333373544917 211379 175 395 105 — — — — — —
201329 INTLAlgodoneros de Guasave — 9991 18210 6171 00 198255242497 44243 176 229 41 — — — — — —
201430 AAALeones de Yucatan — 390355 9615411 23585 236 270324428752 158294 156 328 77 — — — — — —
201430 INTLCharros de Jalisco — 6757 13100 781 40 228323246569 18260 1210 265 66 — — — — — —
201531 AAARieleros de Aguascalientes — 156144 42511 6273 43 292333361694 69353 174 309 57 — — — — — —
201531 INTLCharros de Jalisco — 6157 16000 381 00 281328281609 327 135 284 78 — — — — — —
201632 AAAVaqueros de la Laguna — 209187 53702 12503 54 283337353690 70370 246 304 67 — — — — — —
201733 AAALeones de Yucatan — 291265 811311 17476 61 306361374735 68367 166 331 74 — — — — — —
201733 INTLCaneros de los Mochis — 5249 10001 2151 00 204250265515 61273 294 238 47 — — — — — —
201834 INTLMayos de Navojoa — 3127 7200 261 00 259333333667 74333 196 298 88 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200622 AAA MLEVaqueros Laguna — 2924 5200 4111 10 208345292636 83359 3814 290 82 — — — — — —
200723 AAA MLEVaqueros Laguna — 344300 83772 28867 42 277352367719 90363 258 313 98 — — — — — —
200824 AAA MLEVaqueros Laguna — 286258 80850 14734 103 310355380735 70406 265 315 99 — — — — — —
200925 AAA MLEVaqueros Laguna — 236212 61823 12522 12 288332387719 99340 225 306 93 — — — — — —
201026 AAA MLEVaqueros de la Laguna — 447422 1281626 13980 208 303324393718 90366 223 307 94 — — — — — —
201127 AAA MLEVaqueros de la Laguna — 266245 761615 15533 63 310357445802 135368 206 343 118 — — — — — —
201228 AAA MLEVaqueros de la Laguna — 300279 711233 15805 124 254304351656 97345 275 284 78 — — — — — —
201329 AAA MLEVaqueros de la Laguna — 492465 133181011 151095 156 286315439754 153342 223 323 105 — — — — — —
201430 AAA MLELeones de Yucatan — 390362 891338 16725 236 246287365652 119277 184 282 77 — — — — — —
201531 AAA MLERieleros de Aguascalientes — 156146 37410 4363 43 253288295582 41321 233 253 57 — — — — — —
201632 AAA MLEVaqueros de la Laguna — 209191 50601 8613 54 262302309611 47349 294 267 67 — — — — — —
201733 AAA MLELeones de Yucatan — 291271 731011 11566 61 269312325637 55329 194 278 74 — — — — — —
200622 AAA MLEVaqueros Laguna — 2924 5200 4111 10 208345292636 83385 3814 290 82 — — — — — —
200622 AAA RAWVaqueros Laguna — 2922 5200 691 10 227414318732 91385 3121 352 82 — — — — — —
200723 AAA MLEVaqueros Laguna — 344300 83772 28867 42 277352367719 90379 258 313 98 — — — — — —
200723 AAA RAWVaqueros Laguna — 344290 81773 38727 42 279376383759 103359 2111 338 98 — — — — — —
200824 AAA MLEVaqueros Laguna — 286258 80850 14734 103 310355380735 70428 265 315 99 — — — — — —
200824 AAA RAWVaqueros Laguna — 286253 78950 19614 103 308366383749 75402 217 328 99 — — — — — —
200925 AAA MLEVaqueros Laguna — 236212 61823 12522 12 288332387719 99362 225 306 93 — — — — — —
200925 AAA RAWVaqueros Laguna — 236207 61924 17432 12 295354415769 121350 187 331 93 — — — — — —
201026 AAA MLE2 teams — 490463 1401727 151070 208 302324393717 91378 223 307 94 — — — — — —
201026 AAA RAW2 teams — 490456 1462138 22820 208 320351432783 112374 174 341 94 — — — — — —
201127 AAA MLEVaqueros de la Laguna — 266245 761615 15533 63 310357445802 135376 206 343 118 — — — — — —
201127 AAA RAWVaqueros de la Laguna — 266238 841817 22413 63 353414525940 172401 158 411 118 — — — — — —
201228 AAA MLE2 teams — 424390 991644 221146 134 254304346650 92347 275 284 78 — — — — — —
201228 AAA RAW2 teams — 424385 1122178 27926 134 291347444791 153362 226 347 78 — — — — — —
201329 AAA MLE2 teams — 591559 160221213 181316 156 286316438754 152350 223 323 105 — — — — — —
201329 AAA RAW2 teams — 591547 170261316 301036 156 311353494847 183356 175 367 105 — — — — — —
201430 AAA MLE2 teams — 457423 1041549 19846 276 246288364652 118284 184 282 77 — — — — — —
201430 AAA RAW2 teams — 457412 10916411 30666 276 265324403727 138289 147 319 77 — — — — — —
201531 AAA MLE2 teams — 217204 51511 6504 43 250285299584 49327 233 253 57 — — — — — —
201531 AAA RAW2 teams — 217201 58511 9354 43 289332338670 50345 164 302 57 — — — — — —
201632 AAA MLEVaqueros de la Laguna — 209191 50601 8613 54 262302309611 47371 294 267 67 — — — — — —
201632 AAA RAWVaqueros de la Laguna — 209187 53702 12503 54 283337353690 70370 246 304 67 — — — — — —
201733 AAA MLE2 teams — 343320 861211 13667 61 269312322634 53335 194 278 74 — — — — — —
201733 AAA RAW2 teams — 343314 911312 19627 61 290344357701 67355 186 317 74 — — — — — —
201834 INTL MLEMayos de Navojoa — 3127 7200 261 00 259333333667 74333 196 — — — — — — — —
201834 INTL RAWMayos de Navojoa — 3127 7200 261 00 259333333667 74333 196 298 88 — — — — — —
200622 AAA MLEVaqueros Laguna — 2924 5200 4111 10 208345292636 83359 3814 290 82 — — — — — —
200723 AAA MLEVaqueros Laguna — 344306 83772 28867 42 271352359712 88363 258 313 98 — — — — — —
200824 AAA MLEVaqueros Laguna — 286266 80850 14734 103 301355368723 68406 265 315 99 — — — — — —
200925 AAA MLEVaqueros Laguna — 236220 61823 12522 12 277332373705 95340 225 306 93 — — — — — —
201026 AAA MLE2 teams — 490472 1401727 151070 208 297324386710 89366 223 307 94 — — — — — —
201127 AAA MLEVaqueros de la Laguna — 266246 761615 15533 63 309357443801 134368 206 343 118 — — — — — —
201228 AAA MLE2 teams — 424393 991644 221146 134 252304344647 92345 275 284 78 — — — — — —
201329 AAA MLE2 teams — 591562 160221213 181316 156 285316436752 151342 223 323 105 — — — — — —
201430 AAA MLE2 teams — 457429 1041549 19846 276 242288359647 117277 184 282 77 — — — — — —
201531 AAA MLE2 teams — 217205 51511 6504 43 249285298583 49321 233 253 57 — — — — — —
201632 AAA MLEVaqueros de la Laguna — 209196 50601 8613 54 255302301603 46349 294 267 67 — — — — — —
201733 AAA MLE2 teams — 343320 861211 13667 61 269312322634 53329 194 278 74 — — — — — —
▸ Career Totals
Career— MLE — 39233616 10021363946 17689450 11242 277320374694 97354 234 297 87 -59 +6 +0 -42 +85 -1.1
/ 162G— MLE — 650599 1662368 291488 197 277319376694 98353 234 297 87 -10 +1 +0 -7 +14 -0.2

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 AAALeones de Yucatan · 291 PAwOBA .324 → .278 (−45)K% 16.2% → 19.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.15%÷1.015×1.200——19.10%
BB% (unintentional) /PA5.84%÷0.998×0.690—×0.9423.81%
HBP% /PA2.06%—×0.940—×0.9421.83%
Singles /BIP30.28%÷1.002×0.930×1.050×0.94227.80%
Doubles /BIP5.96%÷1.054×0.830×1.050×0.9424.65%
Triples /BIP0.46%÷0.900×0.920×1.050×0.9420.46%
Home runs /BIP0.46%÷0.945×0.700—×0.9420.32%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 100, 2B 111, 3B 80, K 103, BB 100 — 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 .324 → .278; ISO .068 → .054; BABIP .367 → .329. 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 AAAVaqueros de la Laguna · 209 PAwOBA .300 → .267 (−33)K% 23.9% → 29.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.92%÷0.986×1.200——29.12%
BB% (unintentional) /PA5.74%÷1.051×0.690—×0.9523.59%
HBP% /PA1.44%—×0.940—×0.9521.28%
Singles /BIP32.12%÷0.963×0.930×1.050×0.95231.01%
Doubles /BIP5.11%÷0.992×0.830×1.050×0.9524.28%
Triples /BIP0.00%÷1.046×0.920×1.050×0.9520.00%
Home runs /BIP1.46%÷0.929×0.700—×0.9521.05%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 86, 1B 93, 2B 98, 3B 109, K 97, BB 110 — 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 .300 → .267; ISO .070 → .055; BABIP .370 → .349. 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 AAARieleros de Aguascalientes · 156 PAwOBA .301 → .253 (−47)K% 17.3% → 23.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.31%÷0.903×1.200——23.00%
BB% (unintentional) /PA3.85%÷0.997×0.690—×0.9622.56%
HBP% /PA1.92%—×0.940—×0.9621.74%
Singles /BIP29.91%÷1.007×0.930×1.050×0.96227.90%
Doubles /BIP4.27%÷1.046×0.830×1.050×0.9623.43%
Triples /BIP0.85%÷1.150×0.920×1.050×0.9620.69%
Home runs /BIP0.85%÷1.488×0.700—×0.9620.39%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 198, 1B 101, 2B 109, 3B 130, K 81, BB 99 — 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 .301 → .253; ISO .069 → .047; BABIP .353 → .321. 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 AAALeones de Yucatan · 390 PAwOBA .321 → .282 (−39)K% 14.9% → 18.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.87%÷0.971×1.200——18.38%
BB% (unintentional) /PA5.64%÷0.921×0.690—×0.9724.11%
HBP% /PA1.28%—×0.940—×0.9721.17%
Singles /BIP22.22%÷0.969×0.930×1.050×0.97221.77%
Doubles /BIP5.05%÷0.970×0.830×1.050×0.9724.41%
Triples /BIP1.35%÷1.150×0.920×1.050×0.9721.10%
Home runs /BIP3.70%÷0.947×0.700—×0.9722.66%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 94, 2B 94, 3B 130, K 94, BB 84 — 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 .321 → .282; ISO .158 → .122; BABIP .294 → .277. 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 AAAVaqueros de la Laguna · 492 PAwOBA .387 → .323 (−64)K% 17.5% → 22.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.48%÷0.949×1.200——22.11%
BB% (unintentional) /PA4.47%÷0.989×0.690—×0.9823.06%
HBP% /PA1.02%—×0.940—×0.9820.94%
Singles /BIP27.03%÷0.999×0.930×1.050×0.98225.95%
Doubles /BIP6.49%÷1.098×0.830×1.050×0.9825.06%
Triples /BIP3.24%÷1.150×0.920×1.050×0.9822.68%
Home runs /BIP4.32%÷0.991×0.700—×0.9823.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 98, 1B 100, 2B 120, 3B 130, K 90, BB 98 — 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 .387 → .323; ISO .211 → .155; BABIP .379 → .342. 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 AAAVaqueros de la Laguna · 300 PAwOBA .359 → .284 (−75)K% 20.7% → 26.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.67%÷0.925×1.200——26.80%
BB% (unintentional) /PA7.00%÷0.942×0.690—×0.9925.08%
HBP% /PA1.67%—×0.940—×0.9921.55%
Singles /BIP29.86%÷1.081×0.930×1.043×0.99226.59%
Doubles /BIP7.58%÷1.114×0.830×1.043×0.9925.85%
Triples /BIP1.90%÷1.132×0.920×1.043×0.9921.59%
Home runs /BIP1.90%÷1.018×0.700—×0.9921.29%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 104, 1B 116, 2B 123, 3B 126, K 85, BB 88 — 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 ×1.043.

Result: wOBA .359 → .284; ISO .132 → .094; BABIP .401 → .345. 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 AAAVaqueros de la Laguna · 266 PAwOBA .403 → .343 (−60)K% 15.4% → 19.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.41%÷0.928×1.200——19.93%
BB% (unintentional) /PA8.27%÷0.986×0.690—×1.0035.80%
HBP% /PA1.13%—×0.940—×1.0031.06%
Singles /BIP29.44%÷1.035×0.930×1.045×1.00327.72%
Doubles /BIP9.14%÷0.976×0.830×1.045×1.0038.14%
Triples /BIP0.51%÷1.097×0.920×1.045×1.0030.45%
Home runs /BIP3.55%÷1.042×0.700—×1.0032.39%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 107, 2B 95, 3B 119, K 86, BB 97 — 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 ×1.045.

Result: wOBA .403 → .343; ISO .172 → .133; BABIP .401 → .368. 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 AAAVaqueros de la Laguna · 447 PAwOBA .341 → .307 (−35)K% 17.4% → 21.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.45%÷0.958×1.200——21.85%
BB% (unintentional) /PA4.70%÷1.099×0.690—×1.0183.00%
HBP% /PA0.00%—×0.940—×1.0180.00%
Singles /BIP32.24%÷1.033×0.930×1.050×1.01831.02%
Doubles /BIP5.37%÷1.018×0.830×1.050×1.0184.68%
Triples /BIP0.60%÷1.150×0.920×1.050×1.0180.51%
Home runs /BIP2.39%÷0.911×0.700—×1.0181.87%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 82, 1B 107, 2B 104, 3B 130, K 92, BB 120 — 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 ×1.050.

Result: wOBA .341 → .307; ISO .111 → .092; BABIP .388 → .366. 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 — .