Rodrigo Aguirre

Pos2B
B/TL/R
Born1983-08-01
Age (2027)43
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2015
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201329AAA/INTL2 orgs426.309/.356/.3661778—.292/.321/.343
201430AAAToros de Tiju…262.287/.339/.4046176—.274/.306/.350
201531AAAToros de Tiju…17.294/.294/.3530046—.235/.235/.294
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 AAAPotros de Tijuana — 3433 6200 180 11 182206242448 61240 243 203 2 — — — — — —
200723 AAAPotros de Tijuana — 7368 13200 4100 01 191236221457 29220 145 210 19 — — — — — —
200824 AAAGuerreros de Oaxaca — 11699 31423 791 01 313364485849 172322 86 346 113 — — — — — —
200925 AAABroncos de Reynosa — 2823 7100 340 02 304385348732 43368 1411 315 84 — — — — — —
201026 AAABroncos de Reynosa — 284241 771721 30252 02 320399419818 100352 911 356 105 — — — — — —
201026 INTLAguilas de Mexicali — 3432 11200 240 00 344382406789 62393 126 356 127 — — — — — —
201127 AAABroncos de Reynosa — 295253 63821 24321 32 249317308625 59278 118 272 55 — — — — — —
201228 AAABroncos de Reynosa — 159142 34500 10270 01 239289275564 35291 176 249 39 — — — — — —
201329 AAAPetroleros de Minatitlan — 378345 1101421 24492 73 319367380746 61367 136 332 83 — — — — — —
201329 INTLMayos de Navojoa — 4843 10100 240 01 233267256522 23256 84 226 39 — — — — — —
201430 AAAToros de Tijuana — 262230 66716 17211 13 287339404743 117291 86 316 76 — — — — — —
201531 AAAToros de Tijuana — 1717 5100 020 00 294294353647 59333 120 288 46 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200622 AAA MLEPotros de Tijuana — 3433 6200 1100 11 182206242448 61226 293 171 2 — — — — — —
200723 AAA MLEPotros de Tijuana — 7369 13200 3120 01 188222217440 29221 164 197 19 — — — — — —
200824 AAA MLEGuerreros de Oaxaca — 116101 32422 5111 01 317355455811 139316 94 335 113 — — — — — —
200925 AAA MLEBroncos de Reynosa — 2824 7100 250 02 292346333679 42343 187 292 84 — — — — — —
201026 AAA MLEBroncos de Reynosa — 284252 781621 19292 02 310363401763 91330 107 324 105 — — — — — —
201127 AAA MLEBroncos de Reynosa — 295261 64721 16391 32 245291299590 54263 135 250 55 — — — — — —
201228 AAA MLEBroncos de Reynosa — 159147 34400 5310 01 231257259515 27274 193 226 39 — — — — — —
201329 AAA MLEPetroleros de Minatitlan — 378356 1041121 13572 73 292321343663 51337 153 291 83 — — — — — —
201430 AAA MLEToros de Tijuana — 262237 65713 10241 13 274306350657 76273 94 280 76 — — — — — —
201531 AAA MLEToros de Tijuana — 1717 4100 020 00 235235294529 59292 120 236 46 — — — — — —
200622 AAA MLEPotros de Tijuana — 3433 6200 1100 11 182206242448 61261 293 171 2 — — — — — —
200622 AAA RAWPotros de Tijuana — 3433 6200 180 11 182206242448 61240 243 203 2 — — — — — —
200723 AAA MLEPotros de Tijuana — 7369 13200 3120 01 188222217440 29224 164 197 19 — — — — — —
200723 AAA RAWPotros de Tijuana — 7368 13200 4100 01 191236221457 29220 145 210 19 — — — — — —
200824 AAA MLEGuerreros de Oaxaca — 116101 32422 5111 01 317355455811 139341 94 335 113 — — — — — —
200824 AAA RAWGuerreros de Oaxaca — 11699 31423 791 01 313364485849 172322 86 346 113 — — — — — —
200925 AAA MLEBroncos de Reynosa — 2824 7100 250 02 292346333679 42368 187 292 84 — — — — — —
200925 AAA RAWBroncos de Reynosa — 2823 7100 340 02 304385348732 43368 1411 315 84 — — — — — —
201026 AAA MLE2 teams — 318283 881821 22322 02 311365399764 88347 107 324 105 — — — — — —
201026 AAA RAW2 teams — 318273 881921 32292 02 322397418815 95357 910 356 105 — — — — — —
201127 AAA MLEBroncos de Reynosa — 295261 64721 16391 32 245291299590 54281 135 250 55 — — — — — —
201127 AAA RAWBroncos de Reynosa — 295253 63821 24321 32 249317308625 59278 118 272 55 — — — — — —
201228 AAA MLEBroncos de Reynosa — 159147 34400 5310 01 231257259515 27288 193 226 39 — — — — — —
201228 AAA RAWBroncos de Reynosa — 159142 34500 10270 01 239289275564 35291 176 249 39 — — — — — —
201329 AAA MLE2 teams — 426400 1181321 14642 74 295322345667 50347 153 291 83 — — — — — —
201329 AAA RAW2 teams — 426388 1201521 26532 74 309356366722 57354 126 320 83 — — — — — —
201430 AAA MLEToros de Tijuana — 262237 65713 10241 13 274306350657 76291 94 280 76 — — — — — —
201430 AAA RAWToros de Tijuana — 262230 66716 17211 13 287339404743 117291 86 316 76 — — — — — —
201531 AAA MLEToros de Tijuana — 1717 4100 020 00 235235294529 59267 120 236 46 — — — — — —
201531 AAA RAWToros de Tijuana — 1717 5100 020 00 294294353647 59333 120 288 46 — — — — — —
200622 AAA MLEPotros de Tijuana — 3433 6200 1100 11 182206242448 61226 293 171 2 — — — — — —
200723 AAA MLEPotros de Tijuana — 7370 13200 3120 01 186222214437 29221 164 197 19 — — — — — —
200824 AAA MLEGuerreros de Oaxaca — 116109 32422 5111 01 294355422777 128316 94 335 113 — — — — — —
200925 AAA MLEBroncos de Reynosa — 2826 7100 250 02 269346308654 38343 187 292 84 — — — — — —
201026 AAA MLE2 teams — 318291 881821 22322 02 302365388753 86330 107 324 105 — — — — — —
201127 AAA MLEBroncos de Reynosa — 295276 64721 16391 32 232291283574 51263 135 250 55 — — — — — —
201228 AAA MLEBroncos de Reynosa — 159153 34400 5310 01 222257248505 26274 193 226 39 — — — — — —
201329 AAA MLE2 teams — 426407 1181321 14642 74 290322339661 49337 153 291 83 — — — — — —
201430 AAA MLEToros de Tijuana — 262249 65713 10241 13 261306333640 72273 94 280 76 — — — — — —
201531 AAA MLEToros de Tijuana — 1717 4100 020 00 235235294529 59292 120 236 46 — — — — — —
▸ Career Totals
Career— MLE — 17281572 4315998 782307 1217 274311338650 64314 135 279 75 -52 -4 +0 +6 +37 -1.3
/ 162G— MLE — 650591 1622233 29873 56 274311337648 63314 134 279 75 -20 -1 +0 +2 +14 -0.5

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.

2015 AAAToros de Tijuana · 17 PAwOBA .280 → .236 (−45)K% 11.8% → 14.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.76%÷0.978×1.200——14.44%
BB% (unintentional) /PA0.00%÷1.013×0.690—×0.9520.00%
HBP% /PA0.00%—×0.940—×0.9520.00%
Singles /BIP26.67%÷0.982×0.930—×0.95224.03%
Doubles /BIP6.67%÷1.026×0.830—×0.9525.14%
Triples /BIP0.00%÷1.046×0.920—×0.9520.00%
Home runs /BIP0.00%÷1.208×0.700—×0.9520.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 142, 1B 96, 2B 105, 3B 109, K 96, BB 103 — 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).

Result: wOBA .280 → .236; ISO .059 → .044; BABIP .333 → .292. 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 AAAToros de Tijuana · 262 PAwOBA .308 → .280 (−28)K% 8.0% → 9.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA8.02%÷1.058×1.200——9.09%
BB% (unintentional) /PA5.73%÷1.035×0.690—×0.9623.67%
HBP% /PA0.38%—×0.940—×0.9620.35%
Singles /BIP24.88%÷0.982×0.930×1.050×0.96223.81%
Doubles /BIP3.35%÷0.956×0.830×1.050×0.9622.94%
Triples /BIP0.48%÷0.901×0.920×1.050×0.9620.49%
Home runs /BIP2.87%÷1.271×0.700—×0.9621.52%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 154, 1B 96, 2B 91, 3B 80, K 112, BB 107 — 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 ×1.050.

Result: wOBA .308 → .280; ISO .117 → .084; BABIP .291 → .273. 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 AAAPetroleros de Minatitlan · 378 PAwOBA .322 → .291 (−30)K% 13.0% → 15.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.96%÷1.036×1.200——15.01%
BB% (unintentional) /PA5.29%÷1.029×0.690—×0.9723.45%
HBP% /PA0.53%—×0.940—×0.9720.48%
Singles /BIP31.42%÷1.011×0.930×1.050×0.97229.50%
Doubles /BIP4.73%÷1.101×0.830×1.050×0.9723.64%
Triples /BIP0.68%÷0.901×0.920×1.050×0.9720.70%
Home runs /BIP0.34%÷1.083×0.700—×0.9720.21%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 117, 1B 102, 2B 120, 3B 80, K 107, BB 106 — 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 ×1.050.

Result: wOBA .322 → .291; ISO .061 → .050; BABIP .367 → .337. 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 AAABroncos de Reynosa · 159 PAwOBA .243 → .226 (−17)K% 17.0% → 19.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.98%÷1.052×1.200——19.36%
BB% (unintentional) /PA5.66%÷1.125×0.690—×0.9823.41%
HBP% /PA0.00%—×0.940—×0.9820.00%
Singles /BIP25.22%÷0.988×0.930×1.050×0.98224.46%
Doubles /BIP4.35%÷1.106×0.830×1.050×0.9823.36%
Triples /BIP0.00%÷1.150×0.920×1.050×0.9820.00%
Home runs /BIP0.00%÷0.941×0.700—×0.9820.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 98, 2B 121, 3B 130, K 110, BB 125 — 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 ×1.050.

Result: wOBA .243 → .226; ISO .035 → .029; BABIP .291 → .274. 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 AAABroncos de Reynosa · 295 PAwOBA .268 → .250 (−17)K% 10.8% → 13.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA10.85%÷0.981×1.200——13.27%
BB% (unintentional) /PA8.14%÷1.016×0.690—×0.9925.48%
HBP% /PA0.34%—×0.940—×0.9920.32%
Singles /BIP23.53%÷1.007×0.930×1.050×0.99222.64%
Doubles /BIP3.62%÷1.001×0.830×1.050×0.9923.13%
Triples /BIP0.90%÷1.150×0.920×1.050×0.9920.75%
Home runs /BIP0.45%÷0.972×0.700—×0.9920.32%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 101, 2B 100, 3B 130, K 96, BB 103 — 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 ×1.050.

Result: wOBA .268 → .250; ISO .059 → .053; BABIP .278 → .263. 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).

2010 AAABroncos de Reynosa · 284 PAwOBA .347 → .324 (−24)K% 8.8% → 10.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA8.80%÷1.035×1.200——10.21%
BB% (unintentional) /PA10.21%÷1.042×0.690—×1.0036.78%
HBP% /PA0.70%—×0.940—×1.0030.66%
Singles /BIP26.39%÷1.015×0.930×1.049×1.00325.43%
Doubles /BIP7.87%÷1.012×0.830×1.049×1.0036.79%
Triples /BIP0.93%÷1.150×0.920×1.049×1.0030.78%
Home runs /BIP0.46%÷0.915×0.700—×1.0030.36%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 103, 2B 102, 3B 130, K 107, BB 108 — 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 ×1.049.

Result: wOBA .347 → .324; ISO .100 → .091; BABIP .352 → .330. 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).

2009 AAABroncos de Reynosa · 28 PAwOBA .307 → .292 (−15)K% 14.3% → 17.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.29%÷1.000×1.200——17.14%
BB% (unintentional) /PA10.71%÷1.000×0.690—×1.0187.53%
HBP% /PA0.00%—×0.940—×1.0180.00%
Singles /BIP31.58%÷1.000×0.930—×1.01829.90%
Doubles /BIP5.26%÷1.000×0.830—×1.0184.45%
Triples /BIP0.00%÷1.000×0.920—×1.0180.00%
Home runs /BIP0.00%÷1.000×0.700—×1.0180.00%

Factors used: level-wide AAA 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 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average).

Result: wOBA .307 → .292; ISO .043 → .041; BABIP .368 → .343. 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).

2008 AAAGuerreros de Oaxaca · 116 PAwOBA .337 → .335 (−2)K% 7.8% → 9.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA7.76%÷1.000×1.200——9.31%
BB% (unintentional) /PA6.03%÷1.000×0.690—×1.0334.30%
HBP% /PA0.86%—×0.940—×1.0330.84%
Singles /BIP24.44%÷1.000×0.930×1.050×1.03324.66%
Doubles /BIP4.44%÷1.000×0.830×1.050×1.0334.00%
Triples /BIP2.22%÷1.000×0.920×1.050×1.0332.22%
Home runs /BIP3.33%÷1.000×0.700—×1.0332.41%

Factors used: level-wide AAA 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 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 ×1.050.

Result: wOBA .337 → .335; ISO .172 → .157; BABIP .322 → .316. 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 — .