Alexis Rivera

PosLF
B/TL/L
Born1994-06-17
Age (2027)33
No MLB projection yet. Career stats below are historical.
Overview
ALAST SEASON 2016
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201420A/ROK2 orgs230.198/.275/.27111018—.164/.223/.225
201521A/ROK/INTL3 orgs236.261/.362/.49811781—.214/.279/.387
201622ABurlington Be…277.290/.336/.4256566—.240/.267/.326
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)
201218 ROKAZL Royals — 206176 60743 23292 93 341423477900 136383 1411 392 96 — — — — — —
201319 ROKIdaho Falls Chukars — 240212 57804 23373 95 269349363712 94310 1510 323 50 — — — — — —
201420 ALexington Legends — 183162 31810 18602 92 191280253533 62304 3310 250 21 — — — — — —
201420 ROKIdaho Falls Chukars — 4745 10201 1101 10 222255333589 111265 212 264 7 — — — — — —
201521 ALexington Legends — 125114 25523 8282 32 219282377659 158265 226 292 38 — — — — — —
201521 ROKIdaho Falls Chukars — 8769 25507 17141 30 3624947391.233 377375 1620 521 141 — — — — — —
201521 INTLCriollos de Caguas — 2420 3101 480 11 150292350642 200182 3317 294 85 — — — — — —
201622 ABurlington Bees — 277259 751706 17491 54 290336425760 135338 186 339 66 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201218 ROK MLEAZL Royals — 206184 50532 15422 93 272333364697 92319 207 310 96 — — — — — —
201319 ROK MLEIdaho Falls Chukars — 240221 47603 14533 95 213269281549 68262 226 242 50 — — — — — —
201420 A MLELexington Legends — 183168 28710 12772 92 167231220451 54295 427 199 21 — — — — — —
201420 ROK MLEIdaho Falls Chukars — 4745 7101 1141 10 156191244436 89209 302 178 7 — — — — — —
201521 A MLELexington Legends — 125117 21422 5382 32 179226299525 120244 304 225 38 — — — — — —
201521 ROK MLEIdaho Falls Chukars — 8776 20405 10201 30 263356513869 250292 2311 376 141 — — — — — —
201622 A MLEBurlington Bees — 277267 641403 9711 54 240267326593 86317 263 266 66 — — — — — —
201218 ROK MLEAZL Royals — 206184 50532 15422 93 272333364697 92331 207 310 96 — — — — — —
201218 ROK RAWAZL Royals — 206176 60743 23292 93 341423477900 136383 1411 392 96 — — — — — —
201319 ROK MLEIdaho Falls Chukars — 240221 47603 14533 95 213269281549 68267 226 242 50 — — — — — —
201319 ROK RAWIdaho Falls Chukars — 240212 57804 23373 95 269349363712 94310 1510 323 50 — — — — — —
201420 A MLE2 teams — 230213 35811 13923 102 164223225448 61283 406 195 18 — — — — — —
201420 A RAW2 teams — 230207 411011 19703 102 198275271546 72294 308 253 18 — — — — — —
201521 A MLE3 teams — 236216 45828 16653 73 208272375647 167259 287 287 80 — — — — — —
201521 A RAW3 teams — 236203 5311211 29503 73 261362498859 236296 2112 377 80 — — — — — —
201622 A MLEBurlington Bees — 277267 641403 9711 54 240267326593 86316 263 266 66 — — — — — —
201622 A RAWBurlington Bees — 277259 751706 17491 54 290336425760 135338 186 339 66 — — — — — —
201218 ROK MLEAZL Royals — 206187 50532 15422 93 267333358692 91319 207 310 96 — — — — — —
201319 ROK MLEIdaho Falls Chukars — 240221 47603 14533 95 213269281549 68262 226 242 50 — — — — — —
201420 A MLE2 teams — 230212 35811 13923 102 165223226449 61277 406 195 18 — — — — — —
201521 A MLE3 teams — 236215 45828 16653 73 209272377649 167264 287 287 80 — — — — — —
201622 A MLEBurlington Bees — 277265 641403 9711 54 242267328595 87317 263 266 66 — — — — — —
▸ Career Totals
Career— MLE — 11891101 24141617 6732312 4017 219271313585 94292 276 259 62 -54 +1 +0 -13 +26 -4.1
/ 162G— MLE — 650602 1312239 371777 229 218271309580 91291 276 259 62 -30 +1 +0 -7 +14 -2.2

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.

2016 ABurlington Bees · 277 PAwOBA .326 → .266 (−60)K% 17.7% → 25.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.69%÷0.939×1.360——25.62%
BB% (unintentional) /PA5.05%÷1.037×0.690——3.36%
HBP% /PA0.36%—×0.780——0.28%
Singles /BIP24.76%÷0.975×0.920×1.030—24.06%
Doubles /BIP8.10%÷0.976×0.830×1.030—7.09%
Triples /BIP0.00%÷0.900×0.910×1.030—0.00%
Home runs /BIP2.86%÷1.285×0.800——1.78%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 157, 1B 95, 2B 95, 3B 80, K 88, BB 107 — 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 ×1.030.

Result: wOBA .326 → .266; ISO .135 → .094; BABIP .338 → .317. 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 ALexington Legends · 125 PAwOBA .284 → .225 (−59)K% 22.4% → 30.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.40%÷0.974×1.340——30.82%
BB% (unintentional) /PA6.40%÷1.074×0.660—×1.0153.99%
HBP% /PA1.60%—×0.770—×1.0151.25%
Singles /BIP17.44%÷0.993×0.920×1.021×1.01516.74%
Doubles /BIP5.81%÷1.026×0.820×1.021×1.0154.82%
Triples /BIP2.33%÷1.020×0.940×1.021×1.0152.22%
Home runs /BIP3.49%÷1.103×0.820—×1.0152.63%

Factors used: league row SAL. Park (home-season share, regressed): HR 121, 1B 99, 2B 105, 3B 104, K 95, BB 115 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .284 → .225; ISO .158 → .120; BABIP .265 → .244. 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 ROKIdaho Falls Chukars · 87 PAwOBA .505 → .376 (−130)K% 16.1% → 23.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.09%÷1.000×1.440——23.17%
BB% (unintentional) /PA18.39%÷1.000×0.610—×0.98511.05%
HBP% /PA1.15%—×0.720—×0.9850.82%
Singles /BIP23.64%÷1.000×0.820×1.034×0.98519.75%
Doubles /BIP9.09%÷1.000×0.720×1.034×0.9856.67%
Triples /BIP0.00%÷1.000×0.720×1.034×0.9850.00%
Home runs /BIP12.73%÷1.000×0.750—×0.9859.40%

Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.034.

Result: wOBA .505 → .376; ISO .377 → .286; BABIP .375 → .292. 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 ALexington Legends · 183 PAwOBA .245 → .199 (−46)K% 32.8% → 42.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA32.79%÷1.041×1.340——42.19%
BB% (unintentional) /PA9.84%÷1.013×0.660—×1.0306.60%
HBP% /PA1.09%—×0.770—×1.0300.87%
Singles /BIP21.57%÷0.968×0.920×1.023×1.03021.60%
Doubles /BIP7.84%÷0.958×0.820×1.023×1.0307.07%
Triples /BIP0.98%÷1.150×0.940×1.023×1.0300.84%
Home runs /BIP0.00%÷1.034×0.820—×1.0300.00%

Factors used: league row SAL. Park (home-season share, regressed): HR 107, 1B 94, 2B 92, 3B 130, K 108, BB 103 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.

Result: wOBA .245 → .199; ISO .062 → .050; BABIP .304 → .295. 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 ROKIdaho Falls Chukars · 47 PAwOBA .257 → .178 (−79)K% 21.3% → 30.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.28%÷1.000×1.440——30.64%
BB% (unintentional) /PA2.13%÷1.000×0.610—×0.9951.29%
HBP% /PA2.13%—×0.720—×0.9951.52%
Singles /BIP20.00%÷1.000×0.820—×0.99516.32%
Doubles /BIP5.71%÷1.000×0.720—×0.9954.09%
Triples /BIP0.00%÷1.000×0.720—×0.9950.00%
Home runs /BIP2.86%÷1.000×0.750—×0.9952.13%

Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average).

Result: wOBA .257 → .178; ISO .111 → .073; BABIP .265 → .209. 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 ROKIdaho Falls Chukars · 240 PAwOBA .315 → .242 (−73)K% 15.4% → 22.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.42%÷1.000×1.440——22.20%
BB% (unintentional) /PA9.58%÷1.000×0.610—×1.0085.89%
HBP% /PA1.25%—×0.720—×1.0080.91%
Singles /BIP25.71%÷1.000×0.820×1.050×1.00822.31%
Doubles /BIP4.57%÷1.000×0.720×1.050×1.0083.48%
Triples /BIP0.00%÷1.000×0.720×1.050×1.0080.00%
Home runs /BIP2.29%÷1.000×0.750—×1.0081.73%

Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .315 → .242; ISO .094 → .070; BABIP .310 → .262. 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 ROKAZL Royals · 206 PAwOBA .392 → .310 (−82)K% 14.1% → 20.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.08%÷1.000×1.440——20.27%
BB% (unintentional) /PA11.17%÷1.000×0.620—×1.0227.08%
HBP% /PA0.97%—×0.720—×1.0220.71%
Singles /BIP31.29%÷1.000×0.820×1.024×1.02226.86%
Doubles /BIP4.76%÷1.000×0.720×1.024×1.0223.59%
Triples /BIP2.72%÷1.000×0.720×1.024×1.0222.05%
Home runs /BIP2.04%÷1.000×0.780—×1.0221.63%

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 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.024.

Result: wOBA .392 → .310; ISO .136 → .106; BABIP .383 → .319. 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 — .