Yerison Pena

Pos1B
B/TS/R
Born1991-07-18
Age (2027)36
No MLB projection yet. Career stats below are historical.
Overview
ROKLAST SEASON 2015
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201322ROKDET259.282/.447/.3853953—.173/.300/.229
201423ROKDET279.313/.432/.46522252—.184/.281/.265
201524ROKHelena Brewers249.290/.387/.4535458—.201/.262/.301
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)
201221 ROKDSL Tigers — 183141 42452 35372 65 298444440884 142385 2019 390 61 — — — — — —
201322 ROKDSL Tigers — 259195 55723 56432 93 282447385831 103342 1722 378 53 — — — — — —
201423 ROKDSL Tigers — 279230 721952 46442 227 313432465897 152378 1616 401 52 — — — — — —
201524 ROKHelena Brewers — 249214 621435 34470 44 290387453840 164352 1914 374 58 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201221 ROK MLEDSL Tigers — 183152 29331 24452 65 191309270579 79243 2513 259 61 — — — — — —
201322 ROK MLEDSL Tigers — 259214 37412 37532 93 173300229529 56208 2014 247 53 — — — — — —
201423 ROK MLEDSL Tigers — 279245 451131 31542 227 184281265546 82224 1911 245 52 — — — — — —
201524 ROK MLEHelena Brewers — 249229 461023 19680 44 201262301563 100272 278 254 58 — — — — — —
201221 ROK MLEDSL Tigers — 183152 29331 24452 65 191309270579 79259 2513 259 61 — — — — — —
201221 ROK RAWDSL Tigers — 183141 42452 35372 65 298444440884 142385 2019 390 61 — — — — — —
201322 ROK MLEDSL Tigers — 259214 37412 37532 93 173300229529 56216 2014 247 53 — — — — — —
201322 ROK RAWDSL Tigers — 259195 55723 56432 93 282447385831 103342 1722 378 53 — — — — — —
201423 ROK MLEDSL Tigers — 279245 451131 31542 227 184281265546 82230 1911 245 52 — — — — — —
201423 ROK RAWDSL Tigers — 279230 721952 46442 227 313432465897 152378 1616 401 52 — — — — — —
201524 ROK MLEHelena Brewers — 249229 461023 19680 44 201262301563 100272 278 254 58 — — — — — —
201524 ROK RAWHelena Brewers — 249214 621435 34470 44 290387453840 164352 1914 374 58 — — — — — —
201221 ROK MLEDSL Tigers — 183155 29331 24452 65 187309265574 77243 2513 259 61 — — — — — —
201322 ROK MLEDSL Tigers — 259218 37412 37532 93 170300225525 55208 2014 247 53 — — — — — —
201423 ROK MLEDSL Tigers — 279244 451131 31542 227 184281266547 82224 1911 245 52 — — — — — —
201524 ROK MLEHelena Brewers — 249228 461023 19680 44 202262303565 101272 278 254 58 — — — — — —
▸ Career Totals
Career— MLE — 970840 1572897 1112206 4119 187286267553 80242 2311 250 56 -51 +1 +0 -17 +21 -4.8
/ 162G— MLE — 650563 1061965 741474 2713 188287270557 82243 2311 250 56 -34 +0 +0 -12 +14 -3.2

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.

2015 ROKHelena Brewers · 249 PAwOBA .363 → .254 (−109)K% 18.9% → 27.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.88%÷1.000×1.440——27.18%
BB% (unintentional) /PA13.25%÷1.000×0.610—×0.9557.72%
HBP% /PA0.00%—×0.720—×0.9550.00%
Singles /BIP23.95%÷1.000×0.820×1.032×0.95519.35%
Doubles /BIP8.38%÷1.000×0.720×1.032×0.9555.95%
Triples /BIP1.80%÷1.000×0.720×1.032×0.9551.27%
Home runs /BIP2.99%÷1.000×0.750—×0.9552.14%

Factors used: league row PIO. 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.032.

Result: wOBA .363 → .254; ISO .164 → .113; BABIP .352 → .272. 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 DSLDSL Tigers · 279 PAwOBA .393 → .245 (−148)K% 15.8% → 19.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.77%÷1.000×1.220——19.24%
BB% (unintentional) /PA16.49%÷1.000×0.700—×0.95511.02%
HBP% /PA0.72%—×0.700—×0.9550.48%
Singles /BIP24.73%÷1.000×0.680×0.954×0.95515.32%
Doubles /BIP10.22%÷1.000×0.600×0.954×0.9555.58%
Triples /BIP2.69%÷1.000×0.600×0.954×0.9551.47%
Home runs /BIP1.08%÷1.000×0.470—×0.9550.48%

Factors used: level-wide DSL 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 23 vs a level average of 18.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.954.

Result: wOBA .393 → .245; ISO .152 → .084; BABIP .378 → .224. 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 DSLDSL Tigers · 259 PAwOBA .372 → .247 (−125)K% 16.6% → 20.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.60%÷1.000×1.220——20.25%
BB% (unintentional) /PA20.85%÷1.000×0.700—×0.96514.08%
HBP% /PA0.77%—×0.700—×0.9650.52%
Singles /BIP28.29%÷1.000×0.680×0.954×0.96517.71%
Doubles /BIP4.61%÷1.000×0.600×0.954×0.9652.54%
Triples /BIP1.32%÷1.000×0.600×0.954×0.9650.73%
Home runs /BIP1.97%÷1.000×0.470—×0.9650.90%

Factors used: level-wide DSL 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 22 vs a level average of 18.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.954.

Result: wOBA .372 → .247; ISO .103 → .058; BABIP .342 → .208. 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 DSLDSL Tigers · 183 PAwOBA .385 → .259 (−127)K% 20.2% → 24.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.22%÷1.000×1.220——24.67%
BB% (unintentional) /PA19.13%÷1.000×0.700—×0.97513.05%
HBP% /PA1.09%—×0.700—×0.9750.75%
Singles /BIP29.81%÷1.000×0.680×0.987×0.97519.51%
Doubles /BIP3.85%÷1.000×0.600×0.987×0.9752.22%
Triples /BIP4.81%÷1.000×0.600×0.987×0.9752.78%
Home runs /BIP1.92%÷1.000×0.470—×0.9750.88%

Factors used: level-wide DSL 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 21 vs a level average of 18.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.

Result: wOBA .385 → .259; ISO .142 → .083; BABIP .385 → .243. 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).