Daniel Hinojosa

PosSS
B/TR/R
Born1984-07-15
Age (2027)43
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2019
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201632AAAVaqueros de l…113.281/.361/.3441673—.267/.315/.327
201733AAAGenerales de …213.238/.332/.2921238—.196/.261/.242
201935AAAAlgodoneros U…108.186/.240/.402619—.131/.173/.273
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)
200622 AAASultanes de Monterrey — 2928 8000 1140 42 286310286596 571 483 274 30 — — — — — —
200723 AAASultanes de Monterrey — 4440 10000 1140 50 250268250518 370 322 222 32 — — — — — —
200824 AAASultanes de Monterrey — 8673 12100 10212 60 164282178460 14231 2412 229 23 — — — — — —
200925 AAASultanes de Monterrey — 271238 621641 16634 72 261318374692 113345 236 296 66 — — — — — —
201026 AAASultanes de Monterrey — 289265 771123 18472 203 291340381721 91343 166 321 80 — — — — — —
201127 AAASultanes de Monterrey — 266233 661503 23461 55 283350386736 103337 179 322 76 — — — — — —
201228 AAASultanes de Monterrey — 8783 19520 3340 61 229256337593 108388 393 260 14 — — — — — —
201228 INTLTomateros de Culiacan — 4943 8112 3212 00 186271395666 209300 436 291 83 — — — — — —
201329 AAASultanes de Monterrey — 188166 41801 14411 93 247309313623 66315 227 276 46 — — — — — —
201329 INTLAguilas de Mexicali — 4846 10201 2100 11 217250326576 109257 214 258 61 — — — — — —
201430 AAABroncos de Reynosa — 339317 901525 16821 23 284320391712 107368 245 314 54 — — — — — —
201430 INTLTomateros de Culiacan — 1515 3200 040 00 200200333533 133273 270 232 43 — — — — — —
201531 AAABroncos de Tamaulipas — 277242 57613 20762 43 236299306605 70329 277 265 33 — — — — — —
201531 INTLTomateros de Culiacan — 3128 4000 2120 30 143200143343 250 396 162 -4 — — — — — —
201632 AAAVaqueros de la Laguna — 11396 27111 12290 61 281361344705 62382 2611 310 73 — — — — — —
201733 AAAGenerales de Durango — 213185 44701 23483 21 238332292624 54314 2311 291 38 — — — — — —
201935 AAAAlgodoneros Union Laguna — 10897 18306 7400 10 186240402642 216231 376 272 9 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200622 AAA MLESultanes de Monterrey — 2928 6000 1170 42 214241214456 558 593 212 30 — — — — — —
200723 AAA MLESultanes de Monterrey — 4440 10000 1170 50 250268250518 362 392 215 32 — — — — — —
200824 AAA MLESultanes de Monterrey — 8676 12100 7252 60 158247171418 13234 298 202 23 — — — — — —
200925 AAA MLESultanes de Monterrey — 271243 601441 11764 72 247291350640 103320 284 266 66 — — — — — —
201026 AAA MLESultanes de Monterrey — 289271 741022 12562 203 273309347656 74331 194 287 80 — — — — — —
201127 AAA MLESultanes de Monterrey — 266241 631302 15571 55 261307340648 79314 216 281 76 — — — — — —
201228 AAA MLESultanes de Monterrey — 8784 14310 2410 61 167186226412 60335 472 189 14 — — — — — —
201329 AAA MLESultanes de Monterrey — 188171 38601 9471 93 222265275540 53280 255 236 46 — — — — — —
201430 AAA MLEBroncos de Reynosa — 339323 771224 10971 23 238263325589 87315 293 248 54 — — — — — —
201531 AAA MLEBroncos de Tamaulipas — 277250 52512 12932 43 208250260510 52291 344 217 33 — — — — — —
201632 AAA MLEVaqueros de la Laguna — 113101 27111 7350 61 267315327642 59365 316 276 73 — — — — — —
201733 AAA MLEGenerales de Durango — 213194 38601 14593 21 196261242503 46268 287 225 38 — — — — — —
201935 AAA MLEAlgodoneros Union Laguna — 10899 13204 5500 10 131173273446 141188 465 182 9 — — — — — —
200622 AAA MLESultanes de Monterrey — 2928 6000 1170 42 214241214456 545 593 212 30 — — — — — —
200622 AAA RAWSultanes de Monterrey — 2928 8000 1140 42 286310286596 571 483 274 30 — — — — — —
200723 AAA MLESultanes de Monterrey — 4440 10000 1170 50 250268250518 417 392 215 32 — — — — — —
200723 AAA RAWSultanes de Monterrey — 4440 10000 1140 50 250268250518 370 322 222 32 — — — — — —
200824 AAA MLESultanes de Monterrey — 8676 12100 7252 60 158247171418 13235 298 202 23 — — — — — —
200824 AAA RAWSultanes de Monterrey — 8673 12100 10212 60 164282178460 14231 2412 229 23 — — — — — —
200925 AAA MLESultanes de Monterrey — 271243 601441 11764 72 247291350640 103349 284 266 66 — — — — — —
200925 AAA RAWSultanes de Monterrey — 271238 621641 16634 72 261318374692 113345 236 296 66 — — — — — —
201026 AAA MLESultanes de Monterrey — 289271 741022 12562 203 273309347656 74336 194 287 80 — — — — — —
201026 AAA RAWSultanes de Monterrey — 289265 771123 18472 203 291340381721 91343 166 321 80 — — — — — —
201127 AAA MLESultanes de Monterrey — 266241 631302 15571 55 261307340648 79330 216 281 76 — — — — — —
201127 AAA RAWSultanes de Monterrey — 266233 661503 23461 55 283350386736 103337 179 322 76 — — — — — —
201228 AAA MLE2 teams — 136129 22520 3652 61 171201240442 70344 482 189 14 — — — — — —
201228 AAA RAW2 teams — 136126 27632 6552 61 214261357618 143362 404 271 14 — — — — — —
201329 AAA MLE2 teams — 236216 48801 12591 104 222266273540 51296 255 236 46 — — — — — —
201329 AAA RAW2 teams — 236212 511002 16511 104 241297316613 75302 227 272 46 — — — — — —
201430 AAA MLE2 teams — 354337 791224 111011 23 234261318578 83322 293 248 54 — — — — — —
201430 AAA RAW2 teams — 354332 931725 16861 23 280315389704 108364 245 310 54 — — — — — —
201531 AAA MLE2 teams — 308279 58513 131032 73 208248265514 57316 334 217 33 — — — — — —
201531 AAA RAW2 teams — 308270 61613 22882 73 226289289578 63322 297 255 33 — — — — — —
201632 AAA MLEVaqueros de la Laguna — 113101 27111 7350 61 267315327642 59388 316 276 73 — — — — — —
201632 AAA RAWVaqueros de la Laguna — 11396 27111 12290 61 281361344705 62382 2611 310 73 — — — — — —
201733 AAA MLEGenerales de Durango — 213194 38601 14593 21 196261242503 46274 287 225 38 — — — — — —
201733 AAA RAWGenerales de Durango — 213185 44701 23483 21 238332292624 54314 2311 291 38 — — — — — —
201935 AAA MLEAlgodoneros Union Laguna — 10899 13204 5500 10 131173273446 141196 465 182 9 — — — — — —
201935 AAA RAWAlgodoneros Union Laguna — 10897 18306 7400 10 186240402642 216231 376 272 9 — — — — — —
200622 AAA MLESultanes de Monterrey — 2928 6000 1170 42 214241214456 558 593 212 30 — — — — — —
200723 AAA MLESultanes de Monterrey — 4443 10000 1170 50 233268233501 362 392 215 32 — — — — — —
200824 AAA MLESultanes de Monterrey — 8677 12100 7252 60 156247169416 13234 298 202 23 — — — — — —
200925 AAA MLESultanes de Monterrey — 271254 601441 11764 72 236291335625 98320 284 266 66 — — — — — —
201026 AAA MLESultanes de Monterrey — 289273 741022 12562 203 271309344653 73331 194 287 80 — — — — — —
201127 AAA MLESultanes de Monterrey — 266248 631302 15571 55 254307331638 77314 216 281 76 — — — — — —
201228 AAA MLE2 teams — 136130 22520 3652 61 169201238440 69335 482 189 14 — — — — — —
201329 AAA MLE2 teams — 236221 48801 12591 104 217266267533 50280 255 236 46 — — — — — —
201430 AAA MLE2 teams — 354339 791224 111011 23 233261316576 83315 293 248 54 — — — — — —
201531 AAA MLE2 teams — 308290 58513 131032 73 200248255503 55291 334 217 33 — — — — — —
201632 AAA MLEVaqueros de la Laguna — 113105 27111 7350 61 257315314629 57365 316 276 73 — — — — — —
201733 AAA MLEGenerales de Durango — 213194 38601 14593 21 196261242503 46268 287 225 38 — — — — — —
201935 AAA MLEAlgodoneros Union Laguna — 108102 13204 5500 10 127173265438 137188 465 182 9 — — — — — —
▸ Career Totals
Career— MLE — 24532254 510771219 11272018 8125 226268296565 70320 295 244 51 -143 +6 +0 +26 +53 -5.9
/ 162G— MLE — 650597 1352035 301915 217 226269295564 69320 295 244 51 -38 +1 +0 +7 +14 -1.6

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 AAAAlgodoneros Union Laguna · 108 PAwOBA .266 → .182 (−85)K% 37.0% → 46.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA37.04%÷0.956×1.200——46.47%
BB% (unintentional) /PA6.48%÷1.004×0.690—×0.9404.19%
HBP% /PA0.00%—×0.940—×0.9400.00%
Singles /BIP15.79%÷0.981×0.930—×0.94014.07%
Doubles /BIP5.26%÷1.076×0.830—×0.9403.82%
Triples /BIP0.00%÷1.116×0.920—×0.9400.00%
Home runs /BIP10.53%÷1.028×0.700—×0.9406.74%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 106, 1B 96, 2B 115, 3B 123, K 91, BB 101 — applied at half strength. Age: age 35 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (7.8 yr older than average).

Result: wOBA .266 → .182; ISO .216 → .132; BABIP .231 → .188. 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 AAAGenerales de Durango · 213 PAwOBA .285 → .225 (−61)K% 22.5% → 27.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.54%÷0.978×1.200——27.64%
BB% (unintentional) /PA10.80%÷1.073×0.690—×0.9426.54%
HBP% /PA1.41%—×0.940—×0.9421.25%
Singles /BIP26.28%÷1.049×0.930×1.038×0.94222.79%
Doubles /BIP5.11%÷1.012×0.830×1.038×0.9424.10%
Triples /BIP0.00%÷1.150×0.920×1.038×0.9420.00%
Home runs /BIP0.73%÷0.903×0.700—×0.9420.53%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 81, 1B 110, 2B 102, 3B 130, K 96, BB 115 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.038.

Result: wOBA .285 → .225; ISO .054 → .042; BABIP .314 → .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 AAAVaqueros de la Laguna · 113 PAwOBA .305 → .276 (−29)K% 25.7% → 31.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.66%÷0.986×1.200——31.24%
BB% (unintentional) /PA9.73%÷1.051×0.690—×0.9526.08%
HBP% /PA0.00%—×0.940—×0.9520.00%
Singles /BIP35.82%÷0.963×0.930×1.050×0.95234.59%
Doubles /BIP1.49%÷0.992×0.830×1.050×0.9521.25%
Triples /BIP1.49%÷1.046×0.920×1.050×0.9521.31%
Home runs /BIP1.49%÷0.929×0.700—×0.9521.07%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 86, 1B 93, 2B 98, 3B 109, K 97, BB 110 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .305 → .276; ISO .062 → .052; BABIP .382 → .365. 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 AAABroncos de Tamaulipas · 277 PAwOBA .260 → .217 (−43)K% 27.4% → 33.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.44%÷0.980×1.200——33.61%
BB% (unintentional) /PA7.22%÷1.122×0.690—×0.9624.27%
HBP% /PA0.72%—×0.940—×0.9620.65%
Singles /BIP28.31%÷1.000×0.930×1.017×0.96225.76%
Doubles /BIP3.61%÷1.108×0.830×1.017×0.9622.65%
Triples /BIP0.60%÷1.150×0.920×1.017×0.9620.47%
Home runs /BIP1.81%÷0.851×0.700—×0.9621.43%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 70, 1B 100, 2B 122, 3B 130, K 96, BB 124 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.017.

Result: wOBA .260 → .217; ISO .070 → .055; BABIP .329 → .291. 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 AAABroncos de Reynosa · 339 PAwOBA .306 → .248 (−58)K% 24.2% → 28.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.19%÷1.016×1.200——28.56%
BB% (unintentional) /PA4.72%÷1.048×0.690—×0.9723.02%
HBP% /PA0.29%—×0.940—×0.9720.27%
Singles /BIP28.94%÷1.065×0.930×1.037×0.97225.47%
Doubles /BIP6.38%÷1.061×0.830×1.037×0.9725.03%
Triples /BIP0.85%÷1.150×0.920×1.037×0.9720.69%
Home runs /BIP2.13%÷0.912×0.700—×0.9721.59%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 82, 1B 113, 2B 112, 3B 130, K 103, BB 110 — 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 ×1.037.

Result: wOBA .306 → .248; ISO .107 → .081; BABIP .368 → .315. 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 AAASultanes de Monterrey · 188 PAwOBA .271 → .236 (−35)K% 21.8% → 25.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.81%÷1.039×1.200——25.19%
BB% (unintentional) /PA6.91%÷0.952×0.690—×0.9824.92%
HBP% /PA0.53%—×0.940—×0.9820.49%
Singles /BIP25.60%÷0.991×0.930×1.011×0.98223.86%
Doubles /BIP6.40%÷1.140×0.830×1.011×0.9824.63%
Triples /BIP0.00%÷1.150×0.920×1.011×0.9820.00%
Home runs /BIP0.80%÷1.011×0.700—×0.9820.54%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 98, 2B 128, 3B 130, K 108, BB 90 — 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 ×1.011.

Result: wOBA .271 → .236; ISO .066 → .049; BABIP .315 → .280. 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 AAASultanes de Monterrey · 87 PAwOBA .253 → .189 (−64)K% 39.1% → 47.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA39.08%÷0.984×1.200——47.65%
BB% (unintentional) /PA3.45%÷0.984×0.690—×0.9922.40%
HBP% /PA0.00%—×0.940—×0.9920.00%
Singles /BIP24.49%÷1.015×0.930×1.006×0.99222.40%
Doubles /BIP10.20%÷1.092×0.830×1.006×0.9927.74%
Triples /BIP4.08%÷1.128×0.920×1.006×0.9923.32%
Home runs /BIP0.00%÷1.081×0.700—×0.9920.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 103, 2B 118, 3B 126, K 97, BB 97 — 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 ×1.006.

Result: wOBA .253 → .189; ISO .108 → .075; BABIP .388 → .335. 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).

2011 AAASultanes de Monterrey · 266 PAwOBA .318 → .281 (−36)K% 17.3% → 21.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.29%÷0.972×1.200——21.36%
BB% (unintentional) /PA8.65%÷1.026×0.690—×1.0035.83%
HBP% /PA0.38%—×0.940—×1.0030.35%
Singles /BIP25.67%÷1.003×0.930×1.033×1.00324.66%
Doubles /BIP8.02%÷0.997×0.830×1.033×1.0036.92%
Triples /BIP0.00%÷1.020×0.920×1.033×1.0030.00%
Home runs /BIP1.60%÷1.053×0.700—×1.0031.07%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 111, 1B 101, 2B 99, 3B 104, K 94, BB 105 — 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 ×1.033.

Result: wOBA .318 → .281; ISO .103 → .084; BABIP .337 → .314. 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 — .