Richy Pedroza

Pos2B
B/TS/R
Born1991-07-21
Age (2027)36
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2019
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201726AAA/INTL2 orgs398.258/.361/.32821269—.238/.314/.293
201827INTLYaquis de Obr…29.192/.250/.1920024—
201928AAA/INTL2 orgs552.300/.425/.39632486—.252/.337/.331
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)
201322 ROKJohnson City Cardinals — 152122 33720 27152 24 270411361771 90306 1018 357 66 — — — — — —
201423 APeoria Chiefs — 296255 611361 28274 13 239324349673 110259 99 297 61 — — — — — —
201625 AAARieleros de Aguascalientes — 448382 1041730 56614 1212 272369332702 60323 1412 323 65 — — — — — —
201726 AAARieleros de Aguascalientes — 377307 781602 48494 125 254361326687 72292 1313 306 68 — — — — — —
201726 INTLYaquis de Obregon — 2119 6100 130 02 316350368718 53375 145 310 96 — — — — — —
201827 INTLYaquis de Obregon — 2926 5000 250 00 192250192442 238 177 204 24 — — — — — —
201928 AAARieleros de Aguascalientes — 520422 1312833 91640 238 310432412844 102359 1218 381 88 — — — — — —
201928 INTLLeones del Escogido — 3225 3000 740 10 120312120432 143 1222 237 47 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201322 ROK MLEJohnson City Cardinals — 152132 28520 17212 24 212311280592 68245 1411 266 66 — — — — — —
201423 A MLEPeoria Chiefs — 296264 571361 19344 13 216279322601 106230 116 259 61 — — — — — —
201625 AAA MLERieleros de Aguascalientes — 448403 941430 37784 1212 233304283587 50285 178 265 65 — — — — — —
201726 AAA MLERieleros de Aguascalientes — 377324 771501 32614 125 238314293607 56268 168 268 68 — — — — — —
201928 AAA MLERieleros de Aguascalientes — 520456 1152432 58820 238 252337331668 79297 1611 298 88 — — — — — —
201322 ROK MLEJohnson City Cardinals — 152132 28520 17212 24 212311280592 68250 1411 266 66 — — — — — —
201322 ROK RAWJohnson City Cardinals — 152122 33720 27152 24 270411361771 90306 1018 357 66 — — — — — —
201423 A MLEPeoria Chiefs — 296264 571361 19344 13 216279322601 106239 116 259 61 — — — — — —
201423 A RAWPeoria Chiefs — 296255 611361 28274 13 239324349673 110259 99 297 61 — — — — — —
201625 AAA MLERieleros de Aguascalientes — 448403 941430 37784 1212 233304283587 50288 178 265 65 — — — — — —
201625 AAA RAWRieleros de Aguascalientes — 448382 1041730 56614 1212 272369332702 60323 1412 323 65 — — — — — —
201726 AAA MLE2 teams — 398343 821602 33644 127 239313303616 64285 168 268 68 — — — — — —
201726 AAA RAW2 teams — 398326 841702 49524 127 258361328689 71297 1312 306 68 — — — — — —
201827 INTL MLEYaquis de Obregon — 2926 5000 250 00 192250192442 238 177 — — — — — — — —
201827 INTL RAWYaquis de Obregon — 2926 5000 250 00 192250192442 238 177 204 24 — — — — — —
201928 AAA MLE2 teams — 552484 1222632 62870 248 252337331668 79302 1611 298 88 — — — — — —
201928 AAA RAW2 teams — 552447 1342833 98680 248 300425396821 96347 1218 373 88 — — — — — —
201322 ROK MLEJohnson City Cardinals — 152132 28520 17212 24 212311280592 68245 1411 266 66 — — — — — —
201423 A MLEPeoria Chiefs — 296271 571361 19344 13 210279314592 103230 116 259 61 — — — — — —
201625 AAA MLERieleros de Aguascalientes — 448404 941430 37784 1212 233304282586 50285 178 265 65 — — — — — —
201726 AAA MLE2 teams — 398358 821602 33644 127 229313291604 61268 168 268 68 — — — — — —
201928 AAA MLE2 teams — 552485 1222632 62870 248 252337330667 78297 1611 298 88 — — — — — —
▸ Career Totals
Career— MLE — 18751652 38874145 17028914 5134 235312306617 71279 159 270 69 -69 -3 +0 +7 +41 -2.5
/ 162G— MLE — 650573 1352652 591005 1812 236313309622 73279 159 270 69 -24 -1 +0 +2 +14 -0.9

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.

2019 AAARieleros de Aguascalientes · 520 PAwOBA .373 → .298 (−74)K% 12.3% → 15.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.31%÷0.936×1.200——15.78%
BB% (unintentional) /PA17.12%÷1.051×0.690—×0.99211.15%
HBP% /PA0.00%—×0.940—×0.9920.00%
Singles /BIP27.09%÷1.050×0.930×0.950×0.99222.61%
Doubles /BIP7.82%÷0.954×0.830×0.950×0.9926.41%
Triples /BIP0.84%÷1.065×0.920×0.950×0.9920.68%
Home runs /BIP0.84%÷1.115×0.700—×0.9920.52%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 123, 1B 110, 2B 91, 3B 113, K 87, BB 110 — 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 ×0.950.

Result: wOBA .373 → .298; ISO .102 → .084; BABIP .359 → .297. 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 AAARieleros de Aguascalientes · 377 PAwOBA .302 → .268 (−35)K% 13.0% → 16.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.00%÷0.966×1.200——16.14%
BB% (unintentional) /PA12.73%÷1.059×0.690—×1.0188.45%
HBP% /PA1.06%—×0.940—×1.0181.02%
Singles /BIP23.26%÷1.026×0.930×1.014×1.01821.75%
Doubles /BIP6.20%÷1.008×0.830×1.014×1.0185.27%
Triples /BIP0.00%÷1.150×0.920×1.014×1.0180.00%
Home runs /BIP0.78%÷1.050×0.700—×1.0180.53%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 110, 1B 105, 2B 102, 3B 130, K 93, BB 112 — 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 ×1.014.

Result: wOBA .302 → .268; ISO .072 → .063; BABIP .292 → .268. 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 AAARieleros de Aguascalientes · 448 PAwOBA .314 → .265 (−50)K% 13.6% → 17.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.62%÷0.941×1.200——17.36%
BB% (unintentional) /PA12.05%÷1.053×0.690—×1.0338.16%
HBP% /PA0.89%—×0.940—×1.0330.87%
Singles /BIP26.17%÷1.053×0.930×0.984×1.03323.49%
Doubles /BIP5.30%÷1.035×0.830×0.984×1.0334.32%
Triples /BIP0.93%÷1.150×0.920×0.984×1.0330.76%
Home runs /BIP0.00%÷1.236×0.700—×1.0330.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 147, 1B 111, 2B 107, 3B 130, K 88, BB 111 — 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 ×0.984.

Result: wOBA .314 → .265; ISO .060 → .050; BABIP .323 → .285. 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 APeoria Chiefs · 296 PAwOBA .295 → .259 (−37)K% 9.1% → 11.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA9.12%÷1.074×1.360——11.55%
BB% (unintentional) /PA9.46%÷0.993×0.690—×0.9906.51%
HBP% /PA1.35%—×0.780—×0.9901.04%
Singles /BIP17.98%÷1.051×0.920×1.000×0.99015.59%
Doubles /BIP5.70%÷0.896×0.830×1.000×0.9905.23%
Triples /BIP2.63%÷0.900×0.910×1.000×0.9902.63%
Home runs /BIP0.44%÷1.202×0.800—×0.9900.29%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 140, 1B 110, 2B 79, 3B 80, K 115, BB 99 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.000.

Result: wOBA .295 → .259; ISO .110 → .107; BABIP .259 → .230. 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 ROKJohnson City Cardinals · 152 PAwOBA .351 → .266 (−86)K% 9.9% → 14.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA9.87%÷1.000×1.420——14.01%
BB% (unintentional) /PA17.76%÷1.000×0.640—×0.97511.08%
HBP% /PA1.32%—×0.740—×0.9750.95%
Singles /BIP22.43%÷1.000×0.840×1.011×0.97518.57%
Doubles /BIP6.54%÷1.000×0.740×1.011×0.9754.77%
Triples /BIP1.87%÷1.000×0.740×1.011×0.9751.36%
Home runs /BIP0.00%÷1.000×0.800—×0.9750.00%

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 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.011.

Result: wOBA .351 → .266; ISO .090 → .069; BABIP .306 → .245. 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 — .