Rey Fuentes

PosCF
B/TL/L
Born1991-02-12
Age (2027)36
No MLB projection yet. Career stats below are historical.
Overview
INTL
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WAR
202332INTLCriollos de C…61.204/.295/.2220355—
202433INTLIndios de May…21.133/.316/.1330034—
202534INTLIndios de May…36.207/.361/.2760296—
Contract
No contract data on file.
Skills · percentileStatcast 2016-2017
Speed87
xwOBA20
Barrel%10
Avg EV10

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)
200918 ROKGCL Red Sox — 159145 42621 7243 95 290335379715 90336 154 314 52 — — — — — —
201019 AGreenville Drive — 414374 1011555 25878 425 270329377706 107338 216 314 62 — — — — — —
201120 A+Lake Elsinore Storm — 573510 1401595 441179 4114 275343369711 94347 208 318 65 — — — — — —
201120 INTLGigantes de Carolina — 137124 25221 10330 81 202261274535 73264 247 241 49 — — — — — —
201221 AASan Antonio Missions — 541473 1032044 521336 359 218303302606 85292 2510 275 53 — — — — — —
201221 INTLLeones de Ponce — 8567 12310 14180 51 179321254575 75240 2116 264 65 — — — — — —
201322 MLBSan Diego Padres — 3633 5000 3160 30 152222152374 294 448 184 11 -4 +1 +0 +2 +1 0.0
201322 AAATucson Padres — 6755 23400 10101 61 4185154911.006 73511 1515 448 144 — — — — — —
201322 AASan Antonio Missions — 403345 1092126 41716 2910 316398441839 125381 1810 367 117 — — — — — —
201322 INTLLeones de Ponce — 163145 38731 14320 34 262327372699 110330 209 307 94 — — — — — —
201423 AAAEl Paso Chihuahuas — 177157 41931 16281 132 261333376709 115312 169 315 66 — — — — — —
201423 AASan Antonio Missions — 194170 55624 16372 121 324388453841 129392 198 365 114 — — — — — —
201423 INTLPuerto Rico — 140115 28321 20290 54 243356330686 87318 2114 307 94 — — — — — —
201524 AAAOmaha Storm Chasers — 445396 1221049 30723 296 308361422783 114356 167 339 91 — — — — — —
201524 ROKAZL Royals — 1714 5310 350 00 3574717141.185 357556 2918 498 88 — — — — — —
201524 INTLCangrejeros de Santurce — 147129 42431 13163 83 326400426826 101363 119 368 135 — — — — — —
201625 MLBKansas City Royals — 4441 13100 380 02 317364341705 24394 187 324 106 +0 -1 -2 -5 +1 -0.7
201625 AAAOmaha Storm Chasers — 272240 61930 23624 175 254330317646 62335 238 293 64 — — — — — —
201625 INTLTiburones de Aguadilla — 151137 40832 11193 61 292358438796 146328 137 355 126 — — — — — —
201726 MLBArizona Diamondbacks — 145136 32123 8350 41 235278338616 103296 246 275 68 -6 +0 -1 +2 +3 -0.1
201726 AAAReno Aces — 192175 601130 12302 131 343392440832 97405 166 367 97 — — — — — —
201726 INTLCangrejeros de Santurce — 130111 22202 15323 62 198310270580 72260 2512 275 72 — — — — — —
201827 AAAReno Aces — 342302 801156 34644 102 265347394741 129316 1910 333 58 — — — — — —
201827 INTLPuerto Rico — 143115 24303 22294 72 209355313668 104250 2015 312 98 — — — — — —
201928 INTLPuerto Rico — 149126 26230 18271 63 206310270580 63260 1812 267 67 — — — — — —
202029 INTLPuerto Rico — 7757 15212 18190 31 263440439879 175351 2523 389 149 — — — — — —
202130 INTLPuerto Rico — 8771 25401 13141 81 352459451910 99429 1615 404 159 — — — — — —
202231 INTLCriollos de Caguas — 158137 37721 12265 31 270351372723 102319 168 321 104 — — — — — —
202332 INTLCriollos de Caguas — 6154 11100 6151 33 204295222517 19282 2510 250 55 — — — — — —
202433 INTLIndios de Mayaguez — 2115 2000 440 01 133316133449 182 1919 219 34 — — — — — —
202534 INTLIndios de Mayaguez — 3629 6200 493 20 207361276637 69300 2511 311 96 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 225210 50223 14590 73 238286310595 71318 266 270 69 -8 +0 -2 -1 +5 -0.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200918 ROK MLEGCL Red Sox — 159148 34411 4353 95 230265291555 61283 223 245 52 — — — — — —
201019 A MLEGreenville Drive — 414382 911252 171158 425 238285312597 73323 284 260 62 — — — — — —
201120 A+ MLELake Elsinore Storm — 573524 1251375 301709 4114 239291319610 80332 305 265 65 — — — — — —
201221 AA MLESan Antonio Missions — 541490 1032044 351616 359 210271292563 82291 306 246 53 — — — — — —
201322 MLB MLESan Diego Padres — 3633 5000 3160 30 152222152374 294 448 185 11 -4 +1 +0 +2 +1 0.0
201322 AAA MLETucson Padres — 6758 22400 7141 61 379455448903 69468 2110 381 144 — — — — — —
201322 AA MLESan Antonio Missions — 403359 1121926 27876 2910 312370426796 114378 227 341 117 — — — — — —
201423 AAA MLEEl Paso Chihuahuas — 177161 37721 12361 132 230287317604 87286 207 266 66 — — — — — —
201423 AA MLESan Antonio Missions — 194176 55523 10482 121 312356415771 102400 255 337 114 — — — — — —
201524 AAA MLEOmaha Storm Chasers — 445407 118946 19933 296 290326376702 86345 214 302 91 — — — — — —
201524 ROK MLEAZL Royals — 1715 4210 270 00 267353533886 267393 4112 299 88 — — — — — —
201625 MLB MLEKansas City Royals — 4441 13100 380 02 317364341705 24394 187 325 106 +0 -1 -2 -5 +1 -0.7
201625 AAA MLEOmaha Storm Chasers — 272248 58820 15774 175 234288282571 48328 286 263 64 — — — — — —
201726 MLB MLEArizona Diamondbacks — 145136 32123 8350 41 235278338616 103296 246 269 68 -6 +0 -1 +2 +3 -0.1
201726 AAA MLEReno Aces — 192179 53820 8422 131 296333363696 67376 224 312 97 — — — — — —
201827 AAA MLEReno Aces — 342315 65834 21834 102 206265289554 83267 246 254 58 — — — — — —
200918 ROK MLEGCL Red Sox — 159148 34411 4353 95 230265291555 61289 223 245 52 — — — — — —
200918 ROK RAWGCL Red Sox — 159145 42621 7243 95 290335379715 90336 154 314 52 — — — — — —
201019 A MLEGreenville Drive — 414382 911252 171158 425 238285312597 73333 284 260 62 — — — — — —
201019 A RAWGreenville Drive — 414374 1011555 25878 425 270329377706 107338 216 314 62 — — — — — —
201120 A+ MLE2 teams — 710651 1551696 372109 4915 238288318606 80341 305 265 65 — — — — — —
201120 A+ RAW2 teams — 710634 16517116 541509 4915 260327350677 90331 218 303 65 — — — — — —
201221 AA MLE2 teams — 626565 1182354 411876 4010 209270288558 80302 307 246 53 — — — — — —
201221 AA RAW2 teams — 626540 1152354 661516 4010 213306296602 83285 2411 274 53 — — — — — —
201322 AA MLE4 teams — 669597 1833038 491547 4115 307366407773 101400 237 335 113 — — — — — —
201322 AA RAW4 teams — 669578 1753257 681297 4115 303383412795 109378 1910 351 113 — — — — — —
201423 AA MLE3 teams — 511464 1291866 301163 307 278326381707 103359 236 303 91 — — — — — —
201423 AA RAW3 teams — 511442 1241876 52943 307 281360394754 113344 1810 332 91 — — — — — —
201524 AAA MLE3 teams — 609557 1611569 281326 379 289330386716 97363 225 302 90 — — — — — —
201524 AAA RAW3 teams — 609539 16917810 46936 379 314374430804 117362 158 350 90 — — — — — —
201625 AAA MLE3 teams — 467428 1071440 271267 238 250305301607 51350 276 272 70 — — — — — —
201625 AAA RAW3 teams — 467418 1141862 37897 238 273342359701 86338 198 316 70 — — — — — —
201726 AAA MLE3 teams — 467435 1181354 221075 234 271314352666 80349 235 293 85 — — — — — —
201726 AAA RAW3 teams — 467422 1141455 35975 234 270333363696 92337 217 313 85 — — — — — —
201827 AAA MLE2 teams — 485443 931156 301188 174 210272298570 88270 246 254 58 — — — — — —
201827 AAA RAW2 teams — 485417 1041459 56938 174 249349372721 122299 1912 327 58 — — — — — —
201928 INTL MLEPuerto Rico — 149126 26230 18271 63 206310270580 63260 1812 — — — — — — — —
201928 INTL RAWPuerto Rico — 149126 26230 18271 63 206310270580 63260 1812 267 67 — — — — — —
202029 INTL MLEPuerto Rico — 7757 15212 18190 31 263440439879 175351 2523 — — — — — — — —
202029 INTL RAWPuerto Rico — 7757 15212 18190 31 263440439879 175351 2523 389 149 — — — — — —
202130 INTL MLEPuerto Rico — 8771 25401 13141 81 352459451910 99429 1615 — — — — — — — —
202130 INTL RAWPuerto Rico — 8771 25401 13141 81 352459451910 99429 1615 404 159 — — — — — —
202231 INTL MLECriollos de Caguas — 158137 37721 12265 31 270351372723 102319 168 — — — — — — — —
202231 INTL RAWCriollos de Caguas — 158137 37721 12265 31 270351372723 102319 168 321 104 — — — — — —
202332 INTL MLECriollos de Caguas — 6154 11100 6151 33 204295222517 19282 2510 — — — — — — — —
202332 INTL RAWCriollos de Caguas — 6154 11100 6151 33 204295222517 19282 2510 250 55 — — — — — —
202433 INTL MLEIndios de Mayaguez — 2115 2000 440 01 133316133449 182 1919 — — — — — — — —
202433 INTL RAWIndios de Mayaguez — 2115 2000 440 01 133316133449 182 1919 219 34 — — — — — —
202534 INTL MLEIndios de Mayaguez — 3629 6200 493 20 207361276637 69300 2511 — — — — — — — —
202534 INTL RAWIndios de Mayaguez — 3629 6200 493 20 207361276637 69300 2511 311 96 — — — — — —
200918 ROK MLEGCL Red Sox — 159151 34411 4353 95 225265285549 60283 223 245 52 — — — — — —
201019 A MLEGreenville Drive — 414386 911252 171158 425 236285308593 73323 284 260 62 — — — — — —
201120 A+ MLE2 teams — 710658 1551696 372109 4915 236288315603 79332 305 265 65 — — — — — —
201221 AA MLE2 teams — 626574 1182354 411876 4010 206270284554 78291 307 246 53 — — — — — —
201322 AA MLE4 teams — 669608 1833038 491547 4115 301366400766 99384 237 335 113 — — — — — —
201423 AA MLE3 teams — 511473 1291866 301163 307 273326374700 101346 236 303 91 — — — — — —
201524 AAA MLE3 teams — 609570 1611569 281326 379 282330377707 95347 225 302 90 — — — — — —
201625 AAA MLE3 teams — 467430 1071440 271267 238 249305300605 51337 276 272 70 — — — — — —
201726 AAA MLE3 teams — 467437 1181354 221075 234 270314350664 80342 235 293 85 — — — — — —
201827 AAA MLE2 teams — 485444 931156 301188 174 209272297570 88267 246 254 58 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 225210 50223 14590 73 238286310595 71318 266 270 57 -8 +0 -2 -1 +5 -0.7
/ 162G— A+C — 650607 145669 401700 209 239286313599 74318 266 270 57 -24 +1 -6 -3 +14 -1.9
Career— MLE — 57065159 13111745550 360141473 33692 254312338650 84338 256 252 57 -8 +0 -2 -1 +5 -0.7
/ 162G— MLE — 650588 1502066 411618 3810 255312340653 85339 256 252 57 -24 +1 -6 -3 +14 -1.9

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.

2018 AAAReno Aces · 342 PAwOBA .324 → .254 (−70)K% 18.7% → 24.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.71%÷0.991×1.290——24.37%
BB% (unintentional) /PA9.36%÷1.069×0.710—×1.0036.23%
HBP% /PA1.17%—×0.980—×1.0031.15%
Singles /BIP24.37%÷1.024×0.900×1.002×1.00321.53%
Doubles /BIP4.62%÷1.117×0.810×1.002×1.0033.37%
Triples /BIP2.10%÷1.150×0.810×1.002×1.0031.49%
Home runs /BIP2.52%÷1.044×0.780—×1.0031.89%

Factors used: league row PCL. Park (home-season share, regressed): HR 109, 1B 105, 2B 123, 3B 130, K 98, BB 114 — 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 ×1.002.

Result: wOBA .324 → .254; ISO .129 → .093; BABIP .316 → .267. 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 AAAReno Aces · 192 PAwOBA .361 → .312 (−49)K% 15.6% → 21.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.62%÷0.919×1.290——21.94%
BB% (unintentional) /PA5.73%÷1.007×0.710—×1.0184.11%
HBP% /PA1.04%—×0.980—×1.0181.04%
Singles /BIP31.72%÷0.992×0.900×1.050×1.01830.78%
Doubles /BIP7.59%÷1.089×0.810×1.050×1.0186.03%
Triples /BIP2.07%÷1.150×0.810×1.050×1.0181.56%
Home runs /BIP0.00%÷1.044×0.780—×1.0180.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 109, 1B 98, 2B 118, 3B 130, K 84, BB 102 — 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 .361 → .312; ISO .097 → .073; BABIP .405 → .376. 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 AAAOmaha Storm Chasers · 272 PAwOBA .287 → .263 (−24)K% 22.8% → 28.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.79%÷1.040×1.290——28.28%
BB% (unintentional) /PA7.72%÷1.006×0.710—×1.0335.63%
HBP% /PA1.47%—×0.980—×1.0331.49%
Singles /BIP27.53%÷0.968×0.900×1.039×1.03327.46%
Doubles /BIP5.06%÷0.929×0.810×1.039×1.0334.73%
Triples /BIP1.69%÷1.068×0.810×1.039×1.0331.37%
Home runs /BIP0.00%÷1.054×0.780—×1.0330.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 111, 1B 94, 2B 86, 3B 114, K 108, BB 101 — 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 ×1.039.

Result: wOBA .287 → .263; ISO .062 → .055; BABIP .335 → .328. 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 AAAOmaha Storm Chasers · 445 PAwOBA .330 → .302 (−29)K% 16.2% → 20.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.18%÷0.999×1.290——20.89%
BB% (unintentional) /PA6.52%÷1.127×0.710—×1.0484.30%
HBP% /PA0.67%—×0.980—×1.0480.69%
Singles /BIP30.56%÷1.008×0.900×1.050×1.04830.01%
Doubles /BIP3.09%÷0.961×0.810×1.050×1.0482.86%
Triples /BIP1.23%÷0.948×0.810×1.050×1.0481.16%
Home runs /BIP2.78%÷1.157×0.780—×1.0481.96%

Factors used: league row PCL. Park (home-season share, regressed): HR 131, 1B 102, 2B 92, 3B 90, K 100, BB 125 — 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 → .302; ISO .114 → .092; BABIP .356 → .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).

2015 ROKAZL Royals · 17 PAwOBA .486 → .299 (−186)K% 29.4% → 42.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA29.41%÷1.000×1.440——42.35%
BB% (unintentional) /PA17.65%÷1.000×0.620—×0.95510.45%
HBP% /PA0.00%—×0.720—×0.9550.00%
Singles /BIP11.11%÷1.000×0.820—×0.9558.70%
Doubles /BIP33.33%÷1.000×0.720—×0.95522.92%
Triples /BIP11.11%÷1.000×0.720—×0.9557.64%
Home runs /BIP0.00%÷1.000×0.780—×0.9550.00%

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 24 vs a level average of 19.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average).

Result: wOBA .486 → .299; ISO .357 → .219; BABIP .556 → .393. 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 AASan Antonio Missions · 194 PAwOBA .356 → .337 (−18)K% 19.1% → 24.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.07%÷0.942×1.220——24.71%
BB% (unintentional) /PA7.73%÷1.083×0.700—×1.0275.13%
HBP% /PA1.03%—×0.870—×1.0270.92%
Singles /BIP32.33%÷0.948×0.920×1.050×1.02733.83%
Doubles /BIP4.51%÷1.020×0.840×1.050×1.0274.01%
Triples /BIP1.50%÷1.065×0.940×1.050×1.0271.43%
Home runs /BIP3.01%÷0.960×0.800—×1.0272.57%

Factors used: league row TL. Park (home-season share, regressed): HR 92, 1B 90, 2B 104, 3B 113, K 88, BB 117 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .356 → .337; ISO .129 → .115; BABIP .392 → .400. 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 AAAEl Paso Chihuahuas · 177 PAwOBA .307 → .266 (−41)K% 15.8% → 20.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.82%÷1.002×1.290——20.37%
BB% (unintentional) /PA9.04%÷0.970×0.710—×1.0506.95%
HBP% /PA0.56%—×0.980—×1.0500.58%
Singles /BIP21.71%÷1.018×0.900×1.035×1.05020.86%
Doubles /BIP6.98%÷1.068×0.810×1.035×1.0505.75%
Triples /BIP2.33%÷1.150×0.810×1.035×1.0501.78%
Home runs /BIP0.78%÷0.958×0.780—×1.0500.66%

Factors used: league row PCL. Park (home-season share, regressed): HR 92, 1B 104, 2B 114, 3B 130, K 100, BB 94 — 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 ×1.035.

Result: wOBA .307 → .266; ISO .115 → .092; BABIP .312 → .286. 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 AASan Antonio Missions · 403 PAwOBA .358 → .341 (−17)K% 17.6% → 21.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.62%÷1.000×1.220——21.49%
BB% (unintentional) /PA9.68%÷1.047×0.700—×1.0426.74%
HBP% /PA1.49%—×0.870—×1.0421.35%
Singles /BIP29.20%÷0.983×0.920×1.050×1.04229.89%
Doubles /BIP7.66%÷1.053×0.840×1.050×1.0426.69%
Triples /BIP0.73%÷1.056×0.940×1.050×1.0420.71%
Home runs /BIP2.19%÷0.872×0.800—×1.0422.09%

Factors used: league row TL. Park (home-season share, regressed): HR 74, 1B 97, 2B 111, 3B 111, K 100, BB 109 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .358 → .341; ISO .125 → .118; BABIP .381 → .378. 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 — .