Chris Mariscal

Pos2B
B/TR/R
Born1993-04-26
Age (2027)34
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2019
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201724AA/A+2 orgs553.285/.372/.4028677—.240/.308/.337
201825AA/INTL2 orgs557.272/.356/.3707671—.221/.283/.305
201926AAA/AASEA366.229/.307/.38413250—.188/.249/.305
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)
201522 AClinton LumberKings — 437382 901332 411136 56 236319301620 65325 269 283 33 — — — — — —
201623 AClinton LumberKings — 384336 1012323 351006 90 301377408784 107412 269 349 75 — — — — — —
201724 AAArkansas Travelers — 171155 38321 14302 01 245316310625 65298 188 289 51 — — — — — —
201724 A+Modesto Nuts — 382325 991367 44756 65 305397446843 142371 2012 372 88 — — — — — —
201825 AAArkansas Travelers — 509444 1161737 511317 51 261347360707 99350 2610 319 62 — — — — — —
201825 INTLPeoria Javelinas — 4842 16210 591 10 381458476935 95485 1910 420 171 — — — — — —
201926 AAATacoma Rainiers — 293258 5410010 26703 01 209288364653 155244 249 289 35 — — — — — —
201926 AAArkansas Travelers — 7365 20103 6182 20 308384462845 154386 258 379 109 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201522 A MLEClinton LumberKings — 437395 731032 281606 56 185249241490 56288 376 217 33 — — — — — —
201623 A MLEClinton LumberKings — 384348 842122 231366 90 241300330630 89369 356 279 75 — — — — — —
201724 AA MLEArkansas Travelers — 171159 36321 10382 01 226281289570 63283 226 244 51 — — — — — —
201724 A+ MLEModesto Nuts — 382338 83947 311046 65 246320358678 112318 278 299 88 — — — — — —
201825 AA MLEArkansas Travelers — 509462 1021536 331567 51 221283305588 84308 316 260 62 — — — — — —
201926 AAA MLETacoma Rainiers — 293267 44807 18913 01 165226273499 109208 316 220 35 — — — — — —
201926 AA MLEArkansas Travelers — 7367 19103 4212 20 284342433775 149363 295 329 109 — — — — — —
201522 A MLEClinton LumberKings — 437395 731032 281606 56 185249241490 56300 376 217 33 — — — — — —
201522 A RAWClinton LumberKings — 437382 901332 411136 56 236319301620 65325 269 283 33 — — — — — —
201623 A MLEClinton LumberKings — 384348 842122 231366 90 241300330630 89381 356 279 75 — — — — — —
201623 A RAWClinton LumberKings — 384336 1012323 351006 90 301377408784 107412 269 349 75 — — — — — —
201724 A+ MLE2 teams — 553497 1191268 411418 66 239308336644 97314 257 282 77 — — — — — —
201724 A+ RAW2 teams — 553480 1371688 581058 66 285372402774 117347 1910 346 77 — — — — — —
201825 AA MLE2 teams — 557506 1121637 361718 61 221284306590 85315 316 260 62 — — — — — —
201825 AA RAW2 teams — 557486 1321947 561408 61 272356370727 99363 2510 328 62 — — — — — —
201926 AAA MLE2 teams — 366334 628010 221125 21 186247299546 114243 316 242 50 — — — — — —
201926 AAA RAW2 teams — 366323 7411013 32885 21 229307384691 155272 249 307 50 — — — — — —
201522 A MLEClinton LumberKings — 437400 731032 281606 56 182249237487 55288 376 217 33 — — — — — —
201623 A MLEClinton LumberKings — 384352 842122 231366 90 239300327626 88369 356 279 75 — — — — — —
201724 A+ MLE2 teams — 553499 1191268 411418 66 238308335642 96307 257 282 77 — — — — — —
201825 AA MLE2 teams — 557508 1121637 361718 61 220284305589 85308 316 260 62 — — — — — —
201926 AAA MLE2 teams — 366336 628010 221125 21 185247298544 113239 316 242 50 — — — — — —
▸ Career Totals
Career— MLE — 22972080 450671429 15072033 2814 216280304584 87311 317 257 60 -108 +0 +0 +8 +50 -5.1
/ 162G— MLE — 650589 1271948 422049 84 216278302580 87311 316 257 60 -31 +0 +0 +2 +14 -1.5

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 AAATacoma Rainiers · 293 PAwOBA .284 → .220 (−64)K% 23.9% → 31.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.89%÷0.990×1.290——31.13%
BB% (unintentional) /PA8.87%÷1.039×0.710—×1.0186.17%
HBP% /PA1.02%—×0.980—×1.0181.02%
Singles /BIP18.09%÷0.985×0.900×0.950×1.01815.98%
Doubles /BIP5.32%÷0.998×0.810×0.950×1.0184.17%
Triples /BIP0.00%÷1.073×0.810×0.950×1.0180.00%
Home runs /BIP5.32%÷1.049×0.780—×1.0184.03%

Factors used: league row PCL. Park (home-season share, regressed): HR 110, 1B 97, 2B 100, 3B 115, K 98, BB 108 — 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 ×0.950.

Result: wOBA .284 → .220; ISO .155 → .114; BABIP .244 → .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).

2019 AAArkansas Travelers · 73 PAwOBA .369 → .329 (−40)K% 24.7% → 29.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.66%÷1.031×1.220——29.17%
BB% (unintentional) /PA8.22%÷1.010×0.700—×0.9885.63%
HBP% /PA2.74%—×0.870—×0.9882.35%
Singles /BIP34.04%÷0.966×0.920—×0.98832.02%
Doubles /BIP2.13%÷0.916×0.840—×0.9881.93%
Triples /BIP0.00%÷0.922×0.940—×0.9880.00%
Home runs /BIP6.38%÷0.784×0.800—×0.9886.43%

Factors used: league row TL. Park (home-season share, regressed): HR 57, 1B 93, 2B 83, 3B 84, K 106, BB 102 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).

Result: wOBA .369 → .329; ISO .154 → .150; BABIP .386 → .363. 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).

2018 AAArkansas Travelers · 509 PAwOBA .314 → .260 (−54)K% 25.7% → 30.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.74%÷1.022×1.220——30.72%
BB% (unintentional) /PA10.02%÷1.097×0.700—×0.9986.38%
HBP% /PA1.38%—×0.870—×0.9981.19%
Singles /BIP28.43%÷1.015×0.920×0.969×0.99824.93%
Doubles /BIP5.43%÷0.920×0.840×0.969×0.9984.80%
Triples /BIP0.96%÷0.925×0.940×0.969×0.9980.94%
Home runs /BIP2.24%÷0.925×0.800—×0.9981.93%

Factors used: league row TL. Park (home-season share, regressed): HR 85, 1B 103, 2B 84, 3B 85, K 104, BB 119 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.969.

Result: wOBA .314 → .260; ISO .099 → .088; BABIP .350 → .308. 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 A+Modesto Nuts · 382 PAwOBA .368 → .299 (−68)K% 19.6% → 27.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.63%÷0.972×1.340——27.06%
BB% (unintentional) /PA11.52%÷0.995×0.710—×0.9888.12%
HBP% /PA1.57%—×0.790—×0.9881.23%
Singles /BIP29.20%÷1.008×0.910×0.996×0.98825.94%
Doubles /BIP5.20%÷1.082×0.820×0.996×0.9883.88%
Triples /BIP2.40%÷1.041×0.760×0.996×0.9881.72%
Home runs /BIP2.80%÷0.866×0.920—×0.9882.94%

Factors used: league row CAL. Park (home-season share, regressed): HR 73, 1B 102, 2B 116, 3B 108, K 94, BB 99 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.996.

Result: wOBA .368 → .299; ISO .142 → .121; BABIP .371 → .318. 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 AAArkansas Travelers · 171 PAwOBA .282 → .244 (−37)K% 17.5% → 22.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.54%÷0.973×1.220——22.00%
BB% (unintentional) /PA8.19%÷1.005×0.700—×1.0125.77%
HBP% /PA1.17%—×0.870—×1.0121.03%
Singles /BIP25.60%÷0.974×0.920×1.009×1.01224.71%
Doubles /BIP2.40%÷0.993×0.840×1.009×1.0122.07%
Triples /BIP1.60%÷1.150×0.940×1.009×1.0121.34%
Home runs /BIP0.80%÷1.024×0.800—×1.0120.63%

Factors used: league row TL. Park (home-season share, regressed): HR 105, 1B 95, 2B 99, 3B 130, K 95, BB 101 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.009.

Result: wOBA .282 → .244; ISO .065 → .052; BABIP .298 → .283. 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 AClinton LumberKings · 384 PAwOBA .343 → .279 (−65)K% 26.0% → 35.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.04%÷1.003×1.360——35.32%
BB% (unintentional) /PA8.85%÷1.019×0.690—×0.9905.94%
HBP% /PA1.56%—×0.780—×0.9901.21%
Singles /BIP30.93%÷1.055×0.920×1.005×0.99026.84%
Doubles /BIP9.75%÷0.832×0.830×1.005×0.9909.67%
Triples /BIP0.85%÷0.900×0.910×1.005×0.9900.85%
Home runs /BIP1.27%÷0.976×0.800—×0.9901.03%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 95, 1B 111, 2B 66, 3B 80, K 101, BB 104 — 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 ×1.005.

Result: wOBA .343 → .279; ISO .107 → .095; BABIP .412 → .369. 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 AClinton LumberKings · 437 PAwOBA .279 → .217 (−62)K% 25.9% → 36.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.86%÷0.958×1.360——36.71%
BB% (unintentional) /PA9.38%÷1.007×0.690——6.43%
HBP% /PA1.37%—×0.780——1.07%
Singles /BIP26.77%÷1.031×0.920×1.003—23.96%
Doubles /BIP4.83%÷1.003×0.830×1.003—4.01%
Triples /BIP1.12%÷0.900×0.910×1.003—1.13%
Home runs /BIP0.74%÷0.847×0.800——0.70%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 69, 1B 106, 2B 101, 3B 80, K 92, BB 102 — 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 ×1.003.

Result: wOBA .279 → .217; ISO .065 → .053; BABIP .325 → .288. 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 — .