Luis Fonseca

PosRF
B/TR/R
Born1984-09-20
Age (2027)42
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2019
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201732AAARojos del Agu…213.225/.282/.3305240—.208/.243/.294
201833INTLMayos de Navo…67.290/.333/.3711098—
201934AAAGenerales de …55.226/.255/.358103—.130/.145/.167
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)
201126 AAAPetroleros de Minatitlan — 162147 42604 10192 21 286340408748 122304 126 330 72 — — — — — —
201227 AAAPetroleros de Minatitlan — 9486 35414 5180 30 4074406161.056 209470 195 448 130 — — — — — —
201227 INTLMayos de Navojoa — 113104 35301 5201 20 337373394767 58395 184 338 115 — — — — — —
201328 AAAPetroleros de Minatitlan — 436386 14521920 42773 86 3764416321.073 256427 1810 460 137 — — — — — —
201328 INTLMexico — 284255 831408 25551 71 325388475862 149387 199 380 144 — — — — — —
201429 AAARojos del Aguila de Veracruz — 159143 40913 13301 32 280344420764 140336 198 337 68 — — — — — —
201429 INTLYaquis de Obregon — 149140 33802 6233 00 236282336618 100270 154 279 75 — — — — — —
201530 AAADiablos Rojos del Mexico — 8177 21102 2110 11 273291364655 91292 142 286 41 — — — — — —
201631 AAARojos del Aguila de Veracruz — 383362 10418111 18860 53 287321434755 146348 225 332 61 — — — — — —
201732 AAARojos del Aguila de Veracruz — 213191 43505 12453 21 225282330611 105266 216 269 40 — — — — — —
201833 INTLMayos de Navojoa — 6762 18201 480 00 290333371704 81315 126 314 98 — — — — — —
201934 AAAGenerales de Durango — 5553 12401 2160 00 226255358613 132306 294 272 3 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201126 AAA MLEPetroleros de Minatitlan — 162151 38503 6232 21 252289344634 93272 144 274 72 — — — — — —
201227 AAA MLEPetroleros de Minatitlan — 9488 30313 3220 30 341363500863 159395 233 360 130 — — — — — —
201328 AAA MLEPetroleros de Minatitlan — 436404 12716913 24893 86 314357495852 181369 206 371 137 — — — — — —
201429 AAA MLERojos del Aguila de Veracruz — 159148 35812 8361 32 236280345625 108293 235 268 68 — — — — — —
201530 AAA MLEDiablos Rojos del Mexico — 8178 18101 1150 11 231241282523 51258 191 229 41 — — — — — —
201631 AAA MLERojos del Aguila de Veracruz — 383369 871417 111010 53 236258336594 100300 263 258 61 — — — — — —
201732 AAA MLERojos del Aguila de Veracruz — 213197 41504 6493 21 208243294537 86239 233 228 40 — — — — — —
201934 AAA MLEGenerales de Durango — 5554 7200 1200 00 130145167312 37236 362 172 3 — — — — — —
201126 AAA MLEPetroleros de Minatitlan — 162151 38503 6232 21 252289344634 93278 144 274 72 — — — — — —
201126 AAA RAWPetroleros de Minatitlan — 162147 42604 10192 21 286340408748 122304 126 330 72 — — — — — —
201227 INTL MLE2 teams — 207194 65626 6481 50 335358479838 144407 233 360 130 — — — — — —
201227 INTL RAW2 teams — 207190 70715 10381 50 368403495898 126428 185 388 130 — — — — — —
201328 AAA MLE2 teams — 720668 211271522 401484 157 316358500858 184375 216 371 137 — — — — — —
201328 AAA RAW2 teams — 720641 22835928 671324 157 356420569989 214411 189 429 137 — — — — — —
201429 AAA MLE2 teams — 308286 681524 16714 32 238288346634 108303 235 268 68 — — — — — —
201429 AAA RAW2 teams — 308283 731715 19534 32 258314378692 120302 176 309 68 — — — — — —
201530 AAA MLEDiablos Rojos del Mexico — 8178 18101 1150 11 231241282523 51270 191 229 41 — — — — — —
201530 AAA RAWDiablos Rojos del Mexico — 8177 21102 2110 11 273291364655 91292 142 286 41 — — — — — —
201631 AAA MLERojos del Aguila de Veracruz — 383369 871417 111010 53 236258336594 100304 263 258 61 — — — — — —
201631 AAA RAWRojos del Aguila de Veracruz — 383362 10418111 18860 53 287321434755 146348 225 332 61 — — — — — —
201732 AAA MLERojos del Aguila de Veracruz — 213197 41504 6493 21 208243294537 86253 233 228 40 — — — — — —
201732 AAA RAWRojos del Aguila de Veracruz — 213191 43505 12453 21 225282330611 105266 216 269 40 — — — — — —
201833 INTL MLEMayos de Navojoa — 6762 18201 480 00 290333371704 81315 126 — — — — — — — —
201833 INTL RAWMayos de Navojoa — 6762 18201 480 00 290333371704 81315 126 314 98 — — — — — —
201934 AAA MLEGenerales de Durango — 5554 7200 1200 00 130145167312 37206 362 172 3 — — — — — —
201934 AAA RAWGenerales de Durango — 5553 12401 2160 00 226255358613 132306 294 272 3 — — — — — —
201126 AAA MLEPetroleros de Minatitlan — 162153 38503 6232 21 248289340629 92272 144 274 72 — — — — — —
201227 INTL MLE2 teams — 207198 65626 6481 50 328358470828 141395 233 360 130 — — — — — —
201328 AAA MLE2 teams — 720670 211271522 401484 157 315358499857 184369 216 371 137 — — — — — —
201429 AAA MLE2 teams — 308285 681524 16714 32 239288347635 109293 235 268 68 — — — — — —
201530 AAA MLEDiablos Rojos del Mexico — 8180 18101 1150 11 225241275516 50258 191 229 41 — — — — — —
201631 AAA MLERojos del Aguila de Veracruz — 383369 871417 111010 53 236258336594 100300 263 258 61 — — — — — —
201732 AAA MLERojos del Aguila de Veracruz — 213202 41504 6493 21 203243287530 84239 233 228 40 — — — — — —
201934 AAA MLEGenerales de Durango — 5554 7200 1200 00 130145167312 37236 362 172 3 — — — — — —
▸ Career Totals
Career— MLE — 21962059 553772048 9148314 3315 269304395699 127327 224 293 85 -40 +1 +0 -24 +48 -1.6
/ 162G— MLE — 650609 16423614 271434 104 269304396700 126328 224 293 85 -12 +0 +0 -7 +14 -0.4

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.

2019 AAAGenerales de Durango · 55 PAwOBA .264 → .172 (−92)K% 29.1% → 36.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA29.09%÷0.946×1.200——36.89%
BB% (unintentional) /PA3.64%÷1.118×0.690—×0.9402.11%
HBP% /PA0.00%—×0.940—×0.9400.00%
Singles /BIP18.92%÷1.034×0.930—×0.94015.99%
Doubles /BIP10.81%÷1.163×0.830—×0.9407.25%
Triples /BIP0.00%÷1.150×0.920—×0.9400.00%
Home runs /BIP2.70%÷1.311×0.700—×0.9401.36%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 162, 1B 107, 2B 133, 3B 130, K 89, BB 124 — 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 .264 → .172; ISO .132 → .072; BABIP .306 → .236. 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 AAARojos del Aguila de Veracruz · 213 PAwOBA .260 → .228 (−32)K% 21.1% → 23.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.13%÷1.095×1.200——23.15%
BB% (unintentional) /PA4.69%÷1.043×0.690—×0.9422.93%
HBP% /PA1.41%—×0.940—×0.9421.25%
Singles /BIP22.60%÷0.988×0.930×1.027×0.94220.59%
Doubles /BIP3.42%÷0.899×0.830×1.027×0.9423.06%
Triples /BIP0.00%÷0.900×0.920×1.027×0.9420.00%
Home runs /BIP3.42%÷0.929×0.700—×0.9422.43%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 86, 1B 98, 2B 80, 3B 80, K 119, BB 109 — 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 ×1.027.

Result: wOBA .260 → .228; ISO .105 → .084; BABIP .266 → .239. 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 AAARojos del Aguila de Veracruz · 383 PAwOBA .321 → .258 (−63)K% 22.5% → 26.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.45%÷1.015×1.200——26.54%
BB% (unintentional) /PA3.92%÷0.931×0.690—×0.9522.76%
HBP% /PA0.00%—×0.940—×0.9520.00%
Singles /BIP26.81%÷1.005×0.930×1.013×0.95223.92%
Doubles /BIP6.52%÷1.008×0.830×1.013×0.9525.18%
Triples /BIP0.36%÷0.900×0.920×1.013×0.9520.36%
Home runs /BIP3.99%÷0.999×0.700—×0.9522.66%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 101, 2B 102, 3B 80, K 103, BB 86 — 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 ×1.013.

Result: wOBA .321 → .258; ISO .146 → .104; BABIP .348 → .300. 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 AAADiablos Rojos del Mexico · 81 PAwOBA .281 → .229 (−52)K% 13.6% → 18.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.58%÷0.900×1.200——18.11%
BB% (unintentional) /PA2.47%÷1.204×0.690—×0.9621.36%
HBP% /PA0.00%—×0.940—×0.9620.00%
Singles /BIP27.27%÷1.045×0.930×1.050×0.96224.52%
Doubles /BIP1.52%÷1.122×0.830×1.050×0.9621.13%
Triples /BIP0.00%÷1.123×0.920×1.050×0.9620.00%
Home runs /BIP3.03%÷1.043×0.700—×0.9621.96%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 109, 1B 109, 2B 124, 3B 125, K 80, BB 141 — 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 .281 → .229; ISO .091 → .059; BABIP .292 → .258. 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 AAARojos del Aguila de Veracruz · 159 PAwOBA .329 → .268 (−60)K% 18.9% → 22.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.87%÷0.988×1.200——22.91%
BB% (unintentional) /PA8.18%÷1.041×0.690—×0.9725.27%
HBP% /PA0.63%—×0.940—×0.9720.57%
Singles /BIP23.89%÷1.005×0.930×0.990×0.97221.29%
Doubles /BIP7.96%÷0.945×0.830×0.990×0.9726.73%
Triples /BIP0.88%÷1.000×0.920×0.990×0.9720.78%
Home runs /BIP2.65%÷1.006×0.700—×0.9721.80%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 101, 1B 101, 2B 89, 3B 100, K 98, BB 108 — 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 ×0.990.

Result: wOBA .329 → .268; ISO .140 → .108; BABIP .336 → .293. 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 · 436 PAwOBA .449 → .371 (−78)K% 17.7% → 20.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.66%÷1.036×1.200——20.45%
BB% (unintentional) /PA8.49%÷1.029×0.690—×0.9825.59%
HBP% /PA0.69%—×0.940—×0.9820.64%
Singles /BIP30.74%÷1.011×0.930×1.003×0.98227.86%
Doubles /BIP6.80%÷1.101×0.830×1.003×0.9825.04%
Triples /BIP2.91%÷0.901×0.920×1.003×0.9822.93%
Home runs /BIP6.47%÷1.083×0.700—×0.9824.11%

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 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 ×1.003.

Result: wOBA .449 → .371; ISO .256 → .192; BABIP .427 → .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).

2012 AAAPetroleros de Minatitlan · 94 PAwOBA .442 → .360 (−82)K% 19.1% → 23.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.15%÷0.994×1.200——23.12%
BB% (unintentional) /PA4.26%÷0.974×0.690—×0.9922.99%
HBP% /PA0.00%—×0.940—×0.9920.00%
Singles /BIP38.24%÷1.021×0.930×0.975×0.99233.66%
Doubles /BIP5.88%÷1.117×0.830×0.975×0.9924.23%
Triples /BIP1.47%÷0.991×0.920×0.975×0.9921.32%
Home runs /BIP5.88%÷1.110×0.700—×0.9923.68%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 122, 1B 104, 2B 123, 3B 98, K 99, BB 95 — 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 ×0.975.

Result: wOBA .442 → .360; ISO .209 → .145; BABIP .470 → .395. 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 AAAPetroleros de Minatitlan · 162 PAwOBA .321 → .274 (−47)K% 11.7% → 14.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.73%÷0.980×1.200——14.36%
BB% (unintentional) /PA5.56%÷1.107×0.690—×1.0033.47%
HBP% /PA1.23%—×0.940—×1.0031.16%
Singles /BIP25.00%÷1.059×0.930×1.046×1.00323.03%
Doubles /BIP4.69%÷1.085×0.830×1.046×1.0033.76%
Triples /BIP0.00%÷1.150×0.920×1.046×1.0030.00%
Home runs /BIP3.12%÷0.988×0.700—×1.0032.22%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 98, 1B 112, 2B 117, 3B 130, K 96, BB 121 — 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 ×1.046.

Result: wOBA .321 → .274; ISO .122 → .093; BABIP .304 → .272. 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 — .