Jesus Chirinos

PosC
B/TR/R
Born2001-07-27
Age (2027)26
No MLB projection yet. Career stats below are historical.
Overview
A+LAST SEASON 2024
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202221A/INTL2 orgs591.253/.372/.36013363—.169/.255/.240
202322A+/A/INTL3 orgs364.257/.397/.4149369—.194/.304/.302
202423A+MIL327.222/.320/.3356141—.172/.246/.250
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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
201817 ROKDSL Brewers — 218173 441702 39523 00 254400387787 133344 2418 358 50 — — — — — —
201918 ROKAZL Brewers Gold — 128118 24311 8412 10 203266271537 68303 326 248 -6 — — — — — —
202120 ROKACL Brewers Gold — 172142 42815 30430 00 296419472890 176394 2517 399 74 — — — — — —
202221 ACarolina Mudcats — 480405 9613012 691520 31 237348358706 121340 3214 321 42 — — — — — —
202221 INTLAguilas del Zulia — 11186 28101 23201 00 326473372845 47409 1821 393 152 — — — — — —
202322 A+Wisconsin Timber Rattlers — 7162 11402 9240 10 177282339620 161250 3413 283 22 — — — — — —
202322 ACarolina Mudcats — 276213 621317 55784 21 291445460905 169417 2820 403 88 — — — — — —
202322 INTLAguilas del Zulia — 1717 2000 050 00 118118118235 167 290 106 -42 — — — — — —
202423 A+Wisconsin Timber Rattlers — 327284 631406 411060 10 222320335655 113328 3213 300 41 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201817 ROK MLEDSL Brewers — 218184 301101 28633 00 163284239523 76226 2913 242 50 — — — — — —
201918 ROK MLEAZL Brewers Gold — 128121 17211 5592 10 140188198386 58248 464 159 -6 — — — — — —
202120 ROK MLEACL Brewers Gold — 172154 33614 18620 00 214297344641 130324 3610 278 74 — — — — — —
202221 A MLECarolina Mudcats — 480425 72907 492120 31 169255240495 71299 4410 231 42 — — — — — —
202322 A+ MLEWisconsin Timber Rattlers — 7165 8301 6320 10 123197215413 92219 458 200 22 — — — — — —
202322 A MLECarolina Mudcats — 276231 49915 371074 21 212331325656 113350 3913 299 88 — — — — — —
202423 A+ MLEWisconsin Timber Rattlers — 327296 511104 291360 10 172246250496 78294 429 229 41 — — — — — —
201817 ROK MLEDSL Brewers — 218184 301101 28633 00 163284239523 76236 2913 242 50 — — — — — —
201817 ROK RAWDSL Brewers — 218173 441702 39523 00 254400387787 133344 2418 358 50 — — — — — —
201918 ROK MLEAZL Brewers Gold — 128121 17211 5592 10 140188198386 58262 464 159 -6 — — — — — —
201918 ROK RAWAZL Brewers Gold — 128118 24311 8412 10 203266271537 68303 326 248 -6 — — — — — —
202120 ROK MLEACL Brewers Gold — 172154 33614 18620 00 214297344641 130330 3610 278 74 — — — — — —
202120 ROK RAWACL Brewers Gold — 172142 42815 30430 00 296419472890 176394 2517 399 74 — — — — — —
202221 A MLE2 teams — 591522 891109 612611 31 170259243502 73309 4410 231 42 — — — — — —
202221 A RAW2 teams — 591491 12414013 921721 31 253372360732 108355 2916 335 42 — — — — — —
202322 A MLE3 teams — 364310 611317 461464 31 197308313621 116335 4013 279 75 — — — — — —
202322 A RAW3 teams — 364292 751719 641074 31 257397414812 158367 2918 366 75 — — — — — —
202423 A+ MLEWisconsin Timber Rattlers — 327296 511104 291360 10 172246250496 78297 429 229 41 — — — — — —
202423 A+ RAWWisconsin Timber Rattlers — 327284 631406 411060 10 222320335655 113328 3213 300 41 — — — — — —
201817 ROK MLEDSL Brewers — 218185 301101 28633 00 162284238522 76226 2913 242 50 — — — — — —
201918 ROK MLEAZL Brewers Gold — 128120 17211 5592 10 142188200388 58248 464 159 -6 — — — — — —
202120 ROK MLEACL Brewers Gold — 172152 33614 18620 00 217297349645 132324 3610 278 74 — — — — — —
202221 A MLE2 teams — 591524 891109 612611 31 170259242501 73299 4410 231 42 — — — — — —
202322 A MLE3 teams — 364311 611317 461464 31 196308312620 116323 4013 279 75 — — — — — —
202423 A+ MLEWisconsin Timber Rattlers — 327295 511104 291360 10 173246251497 78294 429 229 41 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202423 A+ MLEWisconsin Timber Rattlers — 327295 511104 291360 10 173246251497 78294 429 229 41 — — — — — —
▸ Career Totals
Career— MLE — 18001587 28154326 18772710 82 177268264532 87300 4010 241 49 -109 +1 +0 +32 +39 -3.8
/ 162G— MLE — 650573 1022019 682634 31 178270264534 86303 4010 241 49 -39 +0 +0 +12 +14 -1.4

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.

2024 A+Wisconsin Timber Rattlers · 327 PAwOBA .294 → .229 (−65)K% 32.4% → 41.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA32.42%÷0.993×1.270——41.46%
BB% (unintentional) /PA12.54%÷0.995×0.710—×0.9988.93%
HBP% /PA0.00%—×0.790—×0.9980.00%
Singles /BIP24.16%÷1.022×0.920×1.031×0.99822.38%
Doubles /BIP7.87%÷0.991×0.810×1.031×0.9986.62%
Triples /BIP0.00%÷1.150×0.850×1.031×0.9980.00%
Home runs /BIP3.37%÷0.979×0.800—×0.9982.75%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 96, 1B 104, 2B 98, 3B 130, K 99, BB 99 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.031.

Result: wOBA .294 → .229; ISO .113 → .085; BABIP .328 → .294. 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).

2023 ACarolina Mudcats · 276 PAwOBA .400 → .299 (−101)K% 28.3% → 38.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.26%÷0.990×1.360——38.82%
BB% (unintentional) /PA19.93%÷1.018×0.690——13.50%
HBP% /PA1.45%—×0.780——1.13%
Singles /BIP30.37%÷1.049×0.920×1.001—26.66%
Doubles /BIP9.63%÷1.090×0.830×1.001—7.34%
Triples /BIP0.74%÷0.900×0.910×1.001—0.75%
Home runs /BIP5.19%÷1.072×0.800——3.87%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 114, 1B 110, 2B 118, 3B 80, K 98, BB 104 — 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 ×1.001.

Result: wOBA .400 → .299; ISO .169 → .123; BABIP .417 → .350. 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).

2023 A+Wisconsin Timber Rattlers · 71 PAwOBA .276 → .200 (−76)K% 33.8% → 45.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA33.80%÷0.955×1.270——44.95%
BB% (unintentional) /PA12.68%÷1.024×0.710—×1.0128.89%
HBP% /PA0.00%—×0.790—×1.0120.00%
Singles /BIP13.16%÷1.013×0.920—×1.01212.10%
Doubles /BIP10.53%÷0.966×0.810—×1.0128.94%
Triples /BIP0.00%÷1.150×0.850—×1.0120.00%
Home runs /BIP5.26%÷1.033×0.800—×1.0124.12%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 107, 1B 103, 2B 93, 3B 130, K 91, BB 105 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average).

Result: wOBA .276 → .200; ISO .161 → .113; BABIP .250 → .219. 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).

2022 ACarolina Mudcats · 480 PAwOBA .317 → .231 (−86)K% 31.7% → 44.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA31.67%÷0.977×1.360——44.09%
BB% (unintentional) /PA14.37%÷0.975×0.690—×1.01510.33%
HBP% /PA0.00%—×0.780—×1.0150.00%
Singles /BIP28.06%÷1.034×0.920×1.007×1.01525.54%
Doubles /BIP5.14%÷1.036×0.830×1.007×1.0154.21%
Triples /BIP0.00%÷1.150×0.910×1.007×1.0150.00%
Home runs /BIP4.74%÷1.136×0.800—×1.0153.39%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 127, 1B 107, 2B 107, 3B 130, K 95, BB 95 — 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 ×1.007.

Result: wOBA .317 → .231; ISO .121 → .078; BABIP .340 → .299. 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).

2021 ROKACL Brewers Gold · 172 PAwOBA .389 → .278 (−111)K% 25.0% → 36.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.00%÷1.001×1.440——35.96%
BB% (unintentional) /PA17.44%÷1.021×0.620—×0.99510.54%
HBP% /PA0.00%—×0.720—×0.9950.00%
Singles /BIP28.28%÷1.002×0.820×1.048×0.99524.14%
Doubles /BIP8.08%÷0.986×0.720×1.048×0.9956.16%
Triples /BIP1.01%÷0.949×0.720×1.048×0.9950.80%
Home runs /BIP5.05%÷0.964×0.780—×0.9954.07%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 93, 1B 100, 2B 97, 3B 90, K 100, BB 104 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.048.

Result: wOBA .389 → .278; ISO .176 → .129; BABIP .394 → .324. 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 ROKAZL Brewers Gold · 128 PAwOBA .242 → .159 (−83)K% 32.0% → 46.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA32.03%÷1.000×1.440——46.12%
BB% (unintentional) /PA6.25%÷1.000×0.620—×1.0223.96%
HBP% /PA1.56%—×0.720—×1.0221.15%
Singles /BIP24.68%÷1.000×0.820—×1.02220.69%
Doubles /BIP3.90%÷1.000×0.720—×1.0222.87%
Triples /BIP1.30%÷1.000×0.720—×1.0220.96%
Home runs /BIP1.30%÷1.000×0.780—×1.0221.04%

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).

Result: wOBA .242 → .159; ISO .068 → .042; BABIP .303 → .248. 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 DSLDSL Brewers · 218 PAwOBA .355 → .242 (−113)K% 23.9% → 29.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.85%÷1.000×1.220——29.10%
BB% (unintentional) /PA17.89%÷1.000×0.700—×1.02212.80%
HBP% /PA1.38%—×0.700—×1.0220.98%
Singles /BIP20.66%÷1.000×0.680×1.001×1.02214.38%
Doubles /BIP14.05%÷1.000×0.600×1.001×1.0228.63%
Triples /BIP0.00%÷1.000×0.600×1.001×1.0220.00%
Home runs /BIP1.65%÷1.000×0.470—×1.0220.79%

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 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.001.

Result: wOBA .355 → .242; ISO .133 → .079; BABIP .344 → .226. 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 — .