Humberto Sosa

PosC
B/TR/R
Born1985-10-13
Age (2027)41
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2019
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201630AAA/INTL2 orgs298.272/.358/.3494264—.204/.270/.261
201731AAA/INTL2 orgs366.213/.270/.3186332—.190/.226/.283
201933AAA/INTL2 orgs198.256/.337/.49410082—.240/.299/.474
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)
200620 ROKVSL Reds — 161129 381001 30221 12 295431395827 101349 1419 379 51 — — — — — —
200721 ROKDSL Reds — 285240 661913 32415 11 275372400772 125310 1411 341 31 — — — — — —
200822 ROKGCL Reds — 172158 481003 14340 00 304360424785 120372 208 352 47 — — — — — —
200923 ADayton Dragons — 323292 762104 29501 11 260329373702 113303 159 317 59 — — — — — —
200923 ROKBillings Mustangs — 8978 28912 10120 20 3594325771.009 218400 1311 436 96 — — — — — —
201024 AAAPetroleros de Minatitlan — 245211 591206 29351 10 280369422791 142310 1412 351 74 — — — — — —
201226 AAARojos del Aguila de Veracruz — 260225 6214012 28512 42 276361498859 222307 2011 371 81 — — — — — —
201226 INTLVenados de Mazatlan — 132122 31404 10270 01 254311385696 131297 208 313 98 — — — — — —
201327 AAARojos del Aguila de Veracruz — 313279 701816 27550 30 251317387704 136288 189 309 58 — — — — — —
201428 AAARojos del Aguila de Veracruz — 358309 7916011 38680 02 256337414751 159292 1911 327 65 — — — — — —
201529 AAARojos del Aguila de Veracruz — 377346 961307 24671 20 277326376702 98324 186 312 53 — — — — — —
201529 INTLMayos de Navojoa — 2216 2100 630 00 125364188551 62154 1427 290 82 — — — — — —
201630 AAALeones de Yucatan — 232200 53504 27503 20 265361350711 85333 2212 326 53 — — — — — —
201630 INTLMayos de Navojoa — 6661 18300 5170 00 295348344693 49409 268 317 101 — — — — — —
201731 AAALeones de Yucatan — 277251 581605 19510 10 231285355640 124265 187 280 34 — — — — — —
201731 INTLYaquis de Obregon — 8982 13101 7190 20 159225207432 49194 218 205 25 — — — — — —
201933 AAALeones de Yucatan — 172148 4311010 16383 01 291371568939 277327 229 397 103 — — — — — —
201933 INTLSultanes de Monterrey — 2624 1000 2100 00 4211542157 71 388 88 -54 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200620 ROK MLEVSL Reds — 161142 25600 17271 12 176269218487 42221 1711 244 51 — — — — — —
200721 ROK MLEDSL Reds — 285252 411111 20505 11 163238226464 63185 187 214 31 — — — — — —
200822 ROK MLEGCL Reds — 172164 35702 8490 00 213250293543 79287 285 237 47 — — — — — —
200923 A MLEDayton Dragons — 323301 661703 20681 11 219270306576 86274 216 255 59 — — — — — —
200923 ROK MLEBillings Mustangs — 8982 21611 6170 20 256307390697 134305 197 310 96 — — — — — —
201024 AAA MLEPetroleros de Minatitlan — 245222 531003 18431 10 239299324623 86275 187 278 74 — — — — — —
201226 AAA MLERojos del Aguila de Veracruz — 260236 541009 17612 42 229286386672 157264 237 288 81 — — — — — —
201327 AAA MLERojos del Aguila de Veracruz — 313290 631515 16630 30 217258328586 110247 205 254 58 — — — — — —
201428 AAA MLERojos del Aguila de Veracruz — 358323 711408 24830 02 220274337611 118257 237 264 65 — — — — — —
201529 AAA MLERojos del Aguila de Veracruz — 377358 831005 12801 20 232259302560 70276 213 247 53 — — — — — —
201630 AAA MLELeones de Yucatan — 232211 43303 16653 20 204270261530 57279 287 247 53 — — — — — —
201731 AAA MLELeones de Yucatan — 277258 491204 12600 10 190226283509 93218 224 219 34 — — — — — —
201933 AAA MLELeones de Yucatan — 172154 37909 10453 01 240299474773 234267 266 321 103 — — — — — —
200620 ROK MLEVSL Reds — 161142 25600 17271 12 176269218487 42217 1711 244 51 — — — — — —
200620 ROK RAWVSL Reds — 161129 381001 30221 12 295431395827 101349 1419 379 51 — — — — — —
200721 ROK MLEDSL Reds — 285252 411111 20505 11 163238226464 63192 187 214 31 — — — — — —
200721 ROK RAWDSL Reds — 285240 661913 32415 11 275372400772 125310 1411 341 31 — — — — — —
200822 ROK MLEGCL Reds — 172164 35702 8490 00 213250293543 79292 285 237 47 — — — — — —
200822 ROK RAWGCL Reds — 172158 481003 14340 00 304360424785 120372 208 352 47 — — — — — —
200923 A MLE2 teams — 412384 882414 25851 31 229278328606 99284 216 267 67 — — — — — —
200923 A RAW2 teams — 412370 1043016 39621 31 281351416767 135323 159 343 67 — — — — — —
201024 AAA MLEPetroleros de Minatitlan — 245222 531003 18431 10 239299324623 86282 187 278 74 — — — — — —
201024 AAA RAWPetroleros de Minatitlan — 245211 591206 29351 10 280369422791 142310 1412 351 74 — — — — — —
201226 AAA MLE2 teams — 392359 8216013 26922 43 228284382666 153271 237 288 81 — — — — — —
201226 AAA RAW2 teams — 392347 9318016 38782 43 268344458802 190303 2010 351 81 — — — — — —
201327 AAA MLERojos del Aguila de Veracruz — 313290 631515 16630 30 217258328586 110257 205 254 58 — — — — — —
201327 AAA RAWRojos del Aguila de Veracruz — 313279 701816 27550 30 251317387704 136288 189 309 58 — — — — — —
201428 AAA MLERojos del Aguila de Veracruz — 358323 711408 24830 02 220274337611 118268 237 264 65 — — — — — —
201428 AAA RAWRojos del Aguila de Veracruz — 358309 7916011 38680 02 256337414751 159292 1911 327 65 — — — — — —
201529 AAA MLE2 teams — 399379 881006 13841 20 232260306566 74281 213 247 53 — — — — — —
201529 AAA RAW2 teams — 399362 981407 30701 20 271328367696 97316 188 311 53 — — — — — —
201630 AAA MLE2 teams — 298272 56404 21833 20 206270265535 59280 287 247 53 — — — — — —
201630 AAA RAW2 teams — 298261 71804 32673 20 272358349707 77351 2211 324 53 — — — — — —
201731 AAA MLE2 teams — 366343 641605 16800 30 187223277500 90224 224 219 34 — — — — — —
201731 AAA RAW2 teams — 366333 711706 26700 30 213270318589 105248 197 262 34 — — — — — —
201933 AAA MLE2 teams — 198179 4311010 11513 01 240295469765 229277 266 321 103 — — — — — —
201933 AAA RAW2 teams — 198172 4411010 18483 01 256337494831 238296 249 356 103 — — — — — —
200620 ROK MLEVSL Reds — 161142 25600 17271 12 176269218487 42221 1711 244 51 — — — — — —
200721 ROK MLEDSL Reds — 285258 411111 20505 11 159238221459 62185 187 214 31 — — — — — —
200822 ROK MLEGCL Reds — 172162 35702 8490 00 216250296546 80287 285 237 47 — — — — — —
200923 A MLE2 teams — 412383 882414 25851 31 230278329607 99281 216 267 67 — — — — — —
201024 AAA MLEPetroleros de Minatitlan — 245224 531003 18431 10 237299321620 85275 187 278 74 — — — — — —
201226 AAA MLE2 teams — 392361 8216013 26922 43 227284380664 152264 237 288 81 — — — — — —
201327 AAA MLERojos del Aguila de Veracruz — 313294 631515 16630 30 214258323581 109247 205 254 58 — — — — — —
201428 AAA MLERojos del Aguila de Veracruz — 358331 711408 24830 02 215274329603 115257 237 264 65 — — — — — —
201529 AAA MLE2 teams — 399382 881006 13841 20 230260304563 73276 213 247 53 — — — — — —
201630 AAA MLE2 teams — 298272 56404 21833 20 206270265535 59279 287 247 53 — — — — — —
201731 AAA MLE2 teams — 366347 641605 16800 30 184223274497 89218 224 219 34 — — — — — —
201933 AAA MLE2 teams — 198182 4311010 11513 01 236295462757 225267 266 321 103 — — — — — —
▸ Career Totals
Career— MLE — 35993309 709144361 21579017 2010 214266315581 101261 226 256 60 -173 +0 +0 +64 +78 -3.2
/ 162G— MLE — 650598 12826111 391433 42 214266316582 102261 226 256 60 -31 +0 +0 +12 +14 -0.6

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 AAALeones de Yucatan · 172 PAwOBA .386 → .321 (−65)K% 22.1% → 26.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.09%÷1.018×1.200——26.04%
BB% (unintentional) /PA8.72%÷0.986×0.690—×0.9405.74%
HBP% /PA1.74%—×0.940—×0.9401.54%
Singles /BIP20.00%÷0.992×0.930×0.950×0.94016.74%
Doubles /BIP10.00%÷0.910×0.830×0.950×0.9408.14%
Triples /BIP0.00%÷1.150×0.920×0.950×0.9400.00%
Home runs /BIP9.09%÷0.792×0.700—×0.9407.55%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 58, 1B 98, 2B 82, 3B 130, K 104, BB 97 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .386 → .321; ISO .277 → .239; BABIP .327 → .267. 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 AAALeones de Yucatan · 277 PAwOBA .276 → .219 (−57)K% 18.4% → 21.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.41%÷1.015×1.200——21.78%
BB% (unintentional) /PA6.50%÷0.998×0.690—×0.9524.28%
HBP% /PA0.00%—×0.940—×0.9520.00%
Singles /BIP18.50%÷1.002×0.930×0.983×0.95216.07%
Doubles /BIP8.00%÷1.054×0.830×0.983×0.9525.90%
Triples /BIP0.00%÷0.900×0.920×0.983×0.9520.00%
Home runs /BIP2.50%÷0.945×0.700—×0.9521.76%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 100, 2B 111, 3B 80, K 103, BB 100 — 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 ×0.983.

Result: wOBA .276 → .219; ISO .124 → .091; BABIP .265 → .218. 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 AAALeones de Yucatan · 232 PAwOBA .316 → .247 (−69)K% 21.6% → 28.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.55%÷0.924×1.200——27.98%
BB% (unintentional) /PA10.78%÷1.008×0.690—×0.9627.10%
HBP% /PA1.29%—×0.940—×0.9621.17%
Singles /BIP29.33%÷0.991×0.930×0.950×0.96225.15%
Doubles /BIP3.33%÷1.104×0.830×0.950×0.9622.29%
Triples /BIP0.00%÷1.150×0.920×0.950×0.9620.00%
Home runs /BIP2.67%÷0.834×0.700—×0.9622.15%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 67, 1B 98, 2B 121, 3B 130, K 85, BB 102 — 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 ×0.950.

Result: wOBA .316 → .247; ISO .085 → .065; BABIP .333 → .279. 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 AAARojos del Aguila de Veracruz · 377 PAwOBA .303 → .247 (−56)K% 17.8% → 21.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.77%÷1.009×1.200——21.14%
BB% (unintentional) /PA5.57%÷1.121×0.690—×0.9723.33%
HBP% /PA0.27%—×0.940—×0.9720.24%
Singles /BIP27.24%÷0.998×0.930×0.970×0.97223.94%
Doubles /BIP4.66%÷1.074×0.830×0.970×0.9723.40%
Triples /BIP0.00%÷0.900×0.920×0.970×0.9720.00%
Home runs /BIP2.51%÷0.920×0.700—×0.9721.86%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 84, 1B 100, 2B 115, 3B 80, K 102, BB 124 — 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 ×0.970.

Result: wOBA .303 → .247; ISO .098 → .074; BABIP .324 → .276. 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 · 358 PAwOBA .320 → .264 (−56)K% 19.0% → 23.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.99%÷0.988×1.200——23.07%
BB% (unintentional) /PA10.34%÷1.041×0.690—×0.9826.73%
HBP% /PA0.00%—×0.940—×0.9820.00%
Singles /BIP21.58%÷1.005×0.930×0.995×0.98219.52%
Doubles /BIP6.64%÷0.945×0.830×0.995×0.9825.70%
Triples /BIP0.00%÷1.000×0.920×0.995×0.9820.00%
Home runs /BIP4.56%÷1.006×0.700—×0.9823.12%

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 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 ×0.995.

Result: wOBA .320 → .264; ISO .159 → .122; BABIP .292 → .257. 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 AAARojos del Aguila de Veracruz · 313 PAwOBA .300 → .254 (−46)K% 17.6% → 20.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.57%÷1.044×1.200——20.19%
BB% (unintentional) /PA7.35%÷1.011×0.690—×0.9924.97%
HBP% /PA0.00%—×0.940—×0.9920.00%
Singles /BIP20.09%÷0.995×0.930×0.965×0.99217.97%
Doubles /BIP8.04%÷1.015×0.830×0.965×0.9926.29%
Triples /BIP0.45%÷1.150×0.920×0.965×0.9920.34%
Home runs /BIP2.68%÷0.867×0.700—×0.9922.15%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 73, 1B 99, 2B 103, 3B 130, K 109, BB 102 — 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 ×0.965.

Result: wOBA .300 → .254; ISO .136 → .113; BABIP .288 → .247. 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 AAARojos del Aguila de Veracruz · 260 PAwOBA .361 → .288 (−73)K% 19.6% → 23.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.62%÷1.004×1.200——23.46%
BB% (unintentional) /PA10.38%÷1.087×0.690—×1.0036.61%
HBP% /PA0.77%—×0.940—×1.0030.73%
Singles /BIP20.69%÷0.959×0.930×0.971×1.00319.54%
Doubles /BIP8.05%÷1.125×0.830×0.971×1.0035.78%
Triples /BIP0.00%÷1.027×0.920×0.971×1.0030.00%
Home runs /BIP6.90%÷1.014×0.700—×1.0034.78%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 103, 1B 92, 2B 125, 3B 105, K 101, BB 117 — 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 ×0.971.

Result: wOBA .361 → .288; ISO .222 → .161; BABIP .307 → .264. 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 AAAPetroleros de Minatitlan · 245 PAwOBA .342 → .278 (−63)K% 14.3% → 17.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.29%÷0.986×1.200——17.39%
BB% (unintentional) /PA11.43%÷1.096×0.690—×1.0337.44%
HBP% /PA0.41%—×0.940—×1.0330.40%
Singles /BIP23.30%÷1.003×0.930×0.968×1.03321.61%
Doubles /BIP6.82%÷1.026×0.830×0.968×1.0335.52%
Triples /BIP0.00%÷1.150×0.920×0.968×1.0330.00%
Home runs /BIP3.41%÷1.295×0.700—×1.0331.90%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 159, 1B 101, 2B 105, 3B 130, K 97, BB 119 — 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 ×0.968.

Result: wOBA .342 → .278; ISO .142 → .097; BABIP .310 → .275. 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 — .