C.J. Hinojosa

Pos2B
B/TR/R
Born1994-07-15
Age (2027)33
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2024
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202228AAASD519.291/.363/.48217873—.226/.281/.348
202329AAA/INTL2 orgs406.233/.281/.3428541—.210/.239/.297
202430AAATB387.223/.286/.3297335—.187/.236/.265
Contract
No contract data on file.
Skills · percentileMiLB Statcast 2024 AAA
K%76
Whiff%67
Z-Con%56
Speed41
Max EV36
BB%18

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)
201622 AARichmond Flying Squirrels — 251226 56723 20432 10 248315336651 88291 178 294 59 — — — — — —
201622 A+San Jose Giants — 302260 771436 36460 14 296382442824 146336 1512 362 92 — — — — — —
201723 AARichmond Flying Squirrels — 417373 991604 31422 54 265325340666 75286 107 296 67 — — — — — —
201824 AARichmond Flying Squirrels — 283253 661413 24282 53 261330360689 99281 108 309 75 — — — — — —
201824 A+San Jose Giants — 2826 8100 260 10 308357346703 38400 217 322 56 — — — — — —
201824 INTLScottsdale Scorpions — 5447 7101 5121 02 149245234479 85176 229 224 38 — — — — — —
201925 AABiloxi Shuckers — 460415 1162418 39610 35 280341400741 120309 138 329 66 — — — — — —
202127 AAASugar Land Skeeters — 443414 13135011 23771 42 316354481835 164364 175 365 97 — — — — — —
202228 AAAEl Paso Chihuahuas — 519461 13433217 45867 82 291363482844 191322 179 369 73 — — — — — —
202329 AAAJacksonville Jumbo Shrimp — 360336 821327 20590 52 244287357644 113275 166 285 42 — — — — — —
202329 INTLCharros de Jalisco — 4641 6001 5110 01 146239220459 73172 2411 219 35 — — — — — —
202430 AAADurham Bulls — 387350 781417 25706 32 223286329615 106257 186 276 35 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201622 AA MLERichmond Flying Squirrels — 251234 53622 12542 10 226270295565 68280 225 255 59 — — — — — —
201622 A+ MLESan Jose Giants — 302270 691235 26620 14 256321378699 122301 219 304 92 — — — — — —
201723 AA MLERichmond Flying Squirrels — 417382 961304 22542 54 251296317612 65270 135 267 67 — — — — — —
201824 AA MLERichmond Flying Squirrels — 283260 651313 17352 53 250301342643 92271 126 279 75 — — — — — —
201824 A+ MLESan Jose Giants — 2827 7100 180 10 259286296582 37360 294 251 56 — — — — — —
201925 AA MLEBiloxi Shuckers — 460430 1011916 24760 35 235275326601 91265 175 266 66 — — — — — —
202127 AAA MLESugar Land Skeeters — 443421 1183208 16921 42 280308413722 133333 214 311 97 — — — — — —
202228 AAA MLEEl Paso Chihuahuas — 519477 10824210 291077 82 226281348629 122262 216 276 73 — — — — — —
202329 AAA MLEJacksonville Jumbo Shrimp — 360343 721125 13680 52 210239297536 87240 194 231 42 — — — — — —
202430 AAA MLEDurham Bulls — 387358 671115 17836 32 187236265502 78223 214 220 35 — — — — — —
201622 A+ MLE2 teams — 553504 1221848 381162 24 242298341639 99296 217 282 77 — — — — — —
201622 A+ RAW2 teams — 553486 1332159 56892 24 274351393744 119316 1610 331 77 — — — — — —
201723 AA MLERichmond Flying Squirrels — 417382 961304 22542 54 251296317612 65280 135 267 67 — — — — — —
201723 AA RAWRichmond Flying Squirrels — 417373 991604 31422 54 265325340666 75286 107 296 67 — — — — — —
201824 AA MLE3 teams — 365335 831613 22513 65 248300328628 81283 146 276 73 — — — — — —
201824 AA RAW3 teams — 365326 811614 31463 65 248319340660 92277 138 298 73 — — — — — —
201925 AA MLEBiloxi Shuckers — 460430 1011916 24760 35 235275326601 91270 175 266 66 — — — — — —
201925 AA RAWBiloxi Shuckers — 460415 1162418 39610 35 280341400741 120309 138 329 66 — — — — — —
202127 AAA MLESugar Land Skeeters — 443421 1183208 16921 42 280308413722 133338 214 311 97 — — — — — —
202127 AAA RAWSugar Land Skeeters — 443414 13135011 23771 42 316354481835 164364 175 365 97 — — — — — —
202228 AAA MLEEl Paso Chihuahuas — 519477 10824210 291077 82 226281348629 122268 216 276 73 — — — — — —
202228 AAA RAWEl Paso Chihuahuas — 519461 13433217 45867 82 291363482844 191322 179 369 73 — — — — — —
202329 AAA MLE2 teams — 406387 791225 15770 53 204234284518 80240 194 231 42 — — — — — —
202329 AAA RAW2 teams — 406377 881328 25700 53 233281342623 109265 176 278 42 — — — — — —
202430 AAA MLEDurham Bulls — 387358 671115 17836 32 187236265502 78227 214 220 35 — — — — — —
202430 AAA RAWDurham Bulls — 387350 781417 25706 32 223286329615 106257 186 276 35 — — — — — —
201622 A+ MLE2 teams — 553508 1221848 381162 24 240298339636 98291 217 282 77 — — — — — —
201723 AA MLERichmond Flying Squirrels — 417390 961304 22542 54 246296310606 64270 135 267 67 — — — — — —
201824 AA MLE3 teams — 365337 831613 22513 65 246300326626 80279 146 276 73 — — — — — —
201925 AA MLEBiloxi Shuckers — 460433 1011916 24760 35 233275323599 90265 175 266 66 — — — — — —
202127 AAA MLESugar Land Skeeters — 443423 1183208 16921 42 279308411720 132333 214 311 97 — — — — — —
202228 AAA MLEEl Paso Chihuahuas — 519478 10824210 291077 82 226281347628 121262 216 276 73 — — — — — —
202329 AAA MLE2 teams — 406388 791225 15770 53 204234284517 80240 194 231 42 — — — — — —
202430 AAA MLEDurham Bulls — 387361 671115 17836 32 186236263499 78223 214 220 35 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202430 AAA MLEDurham Bulls — 387361 671115 17836 32 186236263499 78223 214 220 35 — — — — — —
▸ Career Totals
Career— MLE — 35503294 7741451149 18365621 3627 235280330610 95277 185 268 67 -138 -4 +0 +13 +77 -5.3
/ 162G— MLE — 650603 1422729 341204 75 235281332613 96277 185 268 67 -25 -1 +0 +2 +14 -1.0

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 AAADurham Bulls · 387 PAwOBA .271 → .220 (−50)K% 18.1% → 21.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.09%÷1.014×1.200——21.40%
BB% (unintentional) /PA6.46%÷0.971×0.690—×0.9724.46%
HBP% /PA1.55%—×0.940—×0.9721.42%
Singles /BIP20.00%÷0.985×0.930×0.974×0.97217.87%
Doubles /BIP5.00%÷0.994×0.830×0.974×0.9723.95%
Triples /BIP0.36%÷0.900×0.970×0.974×0.9720.36%
Home runs /BIP2.50%÷1.061×0.700—×0.9721.60%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 97, 2B 99, 3B 80, K 103, BB 94 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.974.

Result: wOBA .271 → .220; ISO .106 → .076; BABIP .257 → .223. 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 AAAJacksonville Jumbo Shrimp · 360 PAwOBA .280 → .231 (−49)K% 16.4% → 18.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.39%÷1.040×1.200——18.91%
BB% (unintentional) /PA5.56%÷1.008×0.690—×0.9823.73%
HBP% /PA0.00%—×0.940—×0.9820.00%
Singles /BIP21.66%÷1.016×0.930×0.989×0.98219.25%
Doubles /BIP4.69%÷0.955×0.830×0.989×0.9823.96%
Triples /BIP0.72%÷1.039×0.970×0.989×0.9820.65%
Home runs /BIP2.53%÷1.031×0.700—×0.9821.69%

Factors used: league row International League. Park (home-season share, regressed): HR 106, 1B 103, 2B 91, 3B 108, K 108, BB 102 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.989.

Result: wOBA .280 → .231; ISO .113 → .086; BABIP .275 → .240. 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 AAAEl Paso Chihuahuas · 519 PAwOBA .361 → .276 (−85)K% 16.6% → 20.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.57%÷0.959×1.200——20.75%
BB% (unintentional) /PA8.09%÷0.990×0.690—×0.9925.59%
HBP% /PA1.35%—×0.940—×0.9921.26%
Singles /BIP21.87%÷1.047×0.930×0.988×0.99219.03%
Doubles /BIP8.80%÷1.133×0.830×0.988×0.9926.32%
Triples /BIP0.53%÷1.002×0.970×0.988×0.9920.51%
Home runs /BIP4.53%÷1.138×0.700—×0.9922.77%

Factors used: league row International League. Park (home-season share, regressed): HR 128, 1B 109, 2B 127, 3B 100, K 92, BB 98 — 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 ×0.988.

Result: wOBA .361 → .276; ISO .191 → .127; BABIP .322 → .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).

2021 AAASugar Land Skeeters · 443 PAwOBA .357 → .311 (−46)K% 17.4% → 20.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.38%÷1.002×1.200——20.82%
BB% (unintentional) /PA4.97%÷0.975×0.690—×1.0033.52%
HBP% /PA0.23%—×0.940—×1.0030.21%
Singles /BIP25.22%÷1.023×0.930×1.015×1.00323.34%
Doubles /BIP10.39%÷0.923×0.830×1.015×1.0039.50%
Triples /BIP0.00%÷1.150×0.920×1.015×1.0030.00%
Home runs /BIP3.26%÷0.935×0.700—×1.0032.45%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 87, 1B 105, 2B 85, 3B 130, K 100, BB 95 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.

Result: wOBA .357 → .311; ISO .164 → .136; BABIP .364 → .333. 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 AABiloxi Shuckers · 460 PAwOBA .321 → .266 (−55)K% 13.3% → 16.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.26%÷0.975×1.220——16.59%
BB% (unintentional) /PA7.83%÷1.006×0.680—×0.9985.28%
HBP% /PA0.00%—×0.840—×0.9980.00%
Singles /BIP23.45%÷0.984×0.920×0.950×0.99820.78%
Doubles /BIP6.78%÷1.092×0.910×0.950×0.9985.36%
Triples /BIP0.28%÷1.124×0.880×0.950×0.9980.21%
Home runs /BIP2.26%÷1.018×0.800—×0.9981.77%

Factors used: league row SL. Park (home-season share, regressed): HR 104, 1B 97, 2B 118, 3B 125, K 95, BB 101 — 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 ×0.950.

Result: wOBA .321 → .266; ISO .120 → .096; BABIP .309 → .265. 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 AARichmond Flying Squirrels · 283 PAwOBA .303 → .279 (−24)K% 9.9% → 12.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA9.89%÷0.975×1.220——12.37%
BB% (unintentional) /PA8.48%÷0.983×0.700—×1.0126.11%
HBP% /PA0.71%—×0.850—×1.0120.61%
Singles /BIP21.33%÷0.995×0.970×0.995×1.01220.94%
Doubles /BIP6.22%÷0.949×0.860×0.995×1.0125.68%
Triples /BIP0.44%÷1.150×0.950×0.995×1.0120.37%
Home runs /BIP1.33%÷0.869×0.780—×1.0121.21%

Factors used: league row EL. Park (home-season share, regressed): HR 74, 1B 99, 2B 90, 3B 130, K 95, BB 97 — 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 ×0.995.

Result: wOBA .303 → .279; ISO .099 → .091; BABIP .281 → .271. 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 A+San Jose Giants · 28 PAwOBA .314 → .251 (−63)K% 21.4% → 29.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.43%÷0.959×1.340——29.95%
BB% (unintentional) /PA7.14%÷0.971×0.710—×0.9885.16%
HBP% /PA0.00%—×0.790—×0.9880.00%
Singles /BIP35.00%÷0.987×0.910—×0.98831.89%
Doubles /BIP5.00%÷0.991×0.820—×0.9884.09%
Triples /BIP0.00%÷0.900×0.760—×0.9880.00%
Home runs /BIP0.00%÷0.924×0.920—×0.9880.00%

Factors used: league row CAL. Park (home-season share, regressed): HR 85, 1B 97, 2B 98, 3B 80, K 92, BB 94 — 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).

Result: wOBA .314 → .251; ISO .038 → .029; BABIP .400 → .360. 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 AARichmond Flying Squirrels · 417 PAwOBA .291 → .267 (−24)K% 10.1% → 13.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA10.07%÷0.948×1.220——12.96%
BB% (unintentional) /PA7.19%÷0.974×0.700—×1.0275.31%
HBP% /PA0.48%—×0.850—×1.0270.42%
Singles /BIP23.87%÷1.004×0.970×0.983×1.02723.26%
Doubles /BIP4.83%÷1.096×0.860×0.983×1.0273.83%
Triples /BIP0.00%÷0.900×0.950×0.983×1.0270.00%
Home runs /BIP1.21%÷0.848×0.780—×1.0271.14%

Factors used: league row EL. Park (home-season share, regressed): HR 70, 1B 101, 2B 119, 3B 80, K 90, BB 95 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.983.

Result: wOBA .291 → .267; ISO .075 → .066; BABIP .286 → .270. 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 — .