Humberto Cota

PosC
B/TR/R
Born1979-02-07
Age (2027)48
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2016
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201435AAA/INTL2 orgs401.225/.326/.35412158—.196/.256/.305
201536AAALeones de Yuc…236.208/.328/.3356047—.173/.259/.274
201637AAA/INTL2 orgs270.228/.350/.3717063—.202/.269/.317
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)
200223 MLBPittsburgh Pirates — 1817 5100 140 00 294333353686 59385 226 311 71 -1 +0 +0 +0 +0 0.0
200324 MLBPittsburgh Pirates — 1716 4100 150 00 250294312607 62364 296 276 73 -1 +0 +0 +0 +0 0.0
200425 MLBPittsburgh Pirates — 7066 15115 3201 00 227271500771 273244 294 334 105 +0 +0 +1 +1 +2 0.4
200526 MLBPittsburgh Pirates — 320297 722017 17802 00 242288387675 145305 255 297 84 -6 +0 +4 +6 +7 1.1
200627 MLBPittsburgh Pirates — 110100 19100 8260 00 190250200450 10253 247 210 29 -9 +0 +1 +2 +2 -0.4
200728 MLBPittsburgh Pirates — 1814 4100 221 00 286412357769 71308 1111 341 117 +0 +0 -1 +2 +0 0.2
200728 AAAIndianapolis Indians — 10495 27600 780 20 284333347681 63307 87 304 70 — — — — — —
200829 AAAColorado Springs Sky Sox — 147138 441204 6230 01 319347493840 174354 164 362 82 — — — — — —
200930 AAASultanes de Monterrey — 252208 571019 37480 00 274384462845 188306 1915 367 89 — — — — — —
201031 AAASultanes de Monterrey — 348296 931539 45551 03 314406476883 162353 1613 387 100 — — — — — —
201031 INTLNaranjeros de Hermosillo — 221194 551108 27450 00 284371464835 180333 2012 372 138 — — — — — —
201132 AAASultanes de Monterrey — 399333 10919010 55595 03 327430474904 147369 1514 400 99 — — — — — —
201132 INTLMexico — 230194 5714011 29400 10 294386536922 242309 1713 392 151 — — — — — —
201233 AAASultanes de Monterrey — 203176 561105 25411 11 318406466872 148389 2012 389 84 — — — — — —
201233 INTLNaranjeros de Hermosillo — 208173 42705 30394 20 243367370737 127287 1914 339 115 — — — — — —
201334 AAMobile BayBears — 1916 0000 291 00 158158 4711 112 -62 — — — — — —
201334 INTLTomateros de Culiacan — 9979 14203 20220 20 177343316660 139204 2220 312 97 — — — — — —
201435 AAASultanes de Monterrey — 304263 627011 30594 10 236323388711 152259 1910 314 53 — — — — — —
201435 INTLAguilas de Mexicali — 9779 15101 14253 00 190333241574 51264 2614 279 75 — — — — — —
201536 AAALeones de Yucatan — 236197 41706 32543 00 208328335663 127250 2314 302 47 — — — — — —
201637 AAAVaqueros de la Laguna — 231194 48917 32541 00 247357412769 165299 2314 341 66 — — — — — —
201637 INTLAguilas de Mexicali — 3930 3000 9140 01 100308100408 188 3623 231 42 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 553510 11925212 321374 00 233284361645 127292 256 286 79 -14 +0 +6 +12 +12 1.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200223 MLB MLEPittsburgh Pirates — 1818 5100 040 00 278278333611 56385 220 272 71 -1 +0 +0 +0 +0 0.0
200324 MLB MLEPittsburgh Pirates — 1716 4100 150 00 250294312607 62364 296 276 73 -1 +0 +0 +0 +0 0.0
200425 MLB MLEPittsburgh Pirates — 7067 15115 2201 00 224257493750 269244 293 324 105 +0 +0 +1 +1 +2 0.4
200526 MLB MLEPittsburgh Pirates — 320299 722017 15802 00 241282385666 144305 255 293 84 -6 +0 +4 +6 +7 1.1
200627 MLB MLEPittsburgh Pirates — 110100 19100 8260 00 190250200450 10253 247 210 29 -9 +0 +1 +2 +2 -0.4
200728 MLB MLEPittsburgh Pirates — 1814 4100 221 00 286412357769 71308 1111 341 117 +0 +0 -1 +2 +0 0.2
200728 AAA MLEIndianapolis Indians — 10497 26500 5100 20 268304320624 52286 105 272 70 — — — — — —
200829 AAA MLEColorado Springs Sky Sox — 147140 36903 4300 01 257278386663 129301 203 290 82 — — — — — —
200930 AAA MLESultanes de Monterrey — 252221 53917 24580 00 240314385699 145268 2310 300 89 — — — — — —
201031 AAA MLESultanes de Monterrey — 348314 841327 27661 03 268327389716 121304 198 316 100 — — — — — —
201132 AAA MLESultanes de Monterrey — 399353 961607 35735 03 272346377723 105313 189 315 99 — — — — — —
201233 AAA MLESultanes de Monterrey — 203185 46803 16501 11 249312341652 92322 258 292 84 — — — — — —
201334 AA MLEMobile BayBears — 1917 0000 1111 00 105105 585 77 -62 — — — — — —
201435 AAA MLESultanes de Monterrey — 304275 54608 18744 10 196256305561 109223 246 246 53 — — — — — —
201536 AAA MLELeones de Yucatan — 236208 36605 21653 00 173259274533 101209 289 237 47 — — — — — —
201637 AAA MLEVaqueros de la Laguna — 231208 42715 18661 00 202269317586 115258 298 266 66 — — — — — —
200223 MLB MLEPittsburgh Pirates — 1818 5100 040 00 278278333611 56357 220 272 71 -1 +0 +0 +0 +0 0.0
200223 MLB RAWPittsburgh Pirates — 1817 5100 140 00 294333353686 59385 226 311 71 -1 +0 +0 +0 +0 0.0
200324 MLB MLEPittsburgh Pirates — 1716 4100 150 00 250294312607 62364 296 276 73 -1 +0 +0 +0 +0 0.0
200324 MLB RAWPittsburgh Pirates — 1716 4100 150 00 250294312607 62364 296 276 73 -1 +0 +0 +0 +0 0.0
200425 MLB MLEPittsburgh Pirates — 7067 15115 2201 00 224257493750 269238 293 324 105 +0 +0 +1 +1 +2 0.4
200425 MLB RAWPittsburgh Pirates — 7066 15115 3201 00 227271500771 273244 294 334 105 +0 +0 +1 +1 +2 0.4
200526 MLB MLEPittsburgh Pirates — 320299 722017 15802 00 241282385666 144302 255 293 84 -6 +0 +4 +6 +7 1.1
200526 MLB RAWPittsburgh Pirates — 320297 722017 17802 00 242288387675 145305 255 297 84 -6 +0 +4 +6 +7 1.1
200627 MLB MLEPittsburgh Pirates — 110100 19100 8260 00 190250200450 10253 247 210 29 -9 +0 +1 +2 +2 -0.4
200627 MLB RAWPittsburgh Pirates — 110100 19100 8260 00 190250200450 10253 247 210 29 -9 +0 +1 +2 +2 -0.4
200728 AAA MLE2 teams — 122111 30600 7121 20 270319324644 54297 106 282 77 — — — — — —
200728 AAA RAW2 teams — 122109 31700 9101 20 284345349693 64307 87 309 77 — — — — — —
200829 AAA MLEColorado Springs Sky Sox — 147140 36903 4300 01 257278386663 129303 203 290 82 — — — — — —
200829 AAA RAWColorado Springs Sky Sox — 147138 441204 6230 01 319347493840 174354 164 362 82 — — — — — —
200930 AAA MLESultanes de Monterrey — 252221 53917 24580 00 240314385699 145284 2310 300 89 — — — — — —
200930 AAA RAWSultanes de Monterrey — 252208 571019 37480 00 274384462845 188306 1915 367 89 — — — — — —
201031 AAA MLE2 teams — 569518 13721411 441081 03 264323384707 120311 198 316 100 — — — — — —
201031 AAA RAW2 teams — 569490 14826317 721001 03 302393471864 169346 1813 381 100 — — — — — —
201132 AAA MLE2 teams — 629556 15125010 551155 13 272343371713 99320 189 315 99 — — — — — —
201132 AAA RAW2 teams — 629527 16633021 84995 13 315414497911 182348 1613 397 99 — — — — — —
201233 INTL MLE2 teams — 411372 931606 321015 31 250318341659 91327 258 292 84 — — — — — —
201233 INTL RAW2 teams — 411349 9818010 55805 31 281386418805 138338 1913 363 84 — — — — — —
201334 INTL MLE2 teams — 118109 0000 8691 20 7676 587 77 -62 — — — — — —
201334 INTL RAW2 teams — 11895 14203 22311 20 147314263577 116180 2619 280 -62 — — — — — —
201435 AAA MLE2 teams — 401362 718011 24977 10 196260309569 113233 246 246 53 — — — — — —
201435 AAA RAW2 teams — 401342 778012 44847 10 225326354680 129260 2111 306 53 — — — — — —
201536 AAA MLELeones de Yucatan — 236208 36605 21653 00 173259274533 101220 289 237 47 — — — — — —
201536 AAA RAWLeones de Yucatan — 236197 41706 32543 00 208328335663 127250 2314 302 47 — — — — — —
201637 AAA MLE2 teams — 270243 50916 22771 01 206274325600 119268 298 266 66 — — — — — —
201637 AAA RAW2 teams — 270224 51917 41681 01 228350371720 143288 2515 325 66 — — — — — —
200223 MLB MLEPittsburgh Pirates — 1818 5100 040 00 278278333611 56385 220 272 71 — — — — — —
200324 MLB MLEPittsburgh Pirates — 1716 4100 150 00 250294312607 62364 296 276 73 — — — — — —
200425 MLB MLEPittsburgh Pirates — 7067 15115 2201 00 224257493750 269244 293 324 105 — — — — — —
200526 MLB MLEPittsburgh Pirates — 320300 722017 15802 00 240282383665 143305 255 293 84 — — — — — —
200627 MLB MLEPittsburgh Pirates — 110101 19100 8260 00 188250198448 10253 247 210 29 — — — — — —
200728 AAA MLE2 teams — 122113 30600 7121 20 265319319638 53289 106 282 77 — — — — — —
200829 AAA MLEColorado Springs Sky Sox — 147142 36903 4300 01 254278380658 127301 203 290 82 — — — — — —
200930 AAA MLESultanes de Monterrey — 252226 53917 24580 00 235314376690 142268 2310 300 89 — — — — — —
201031 AAA MLE2 teams — 569519 13721411 441081 03 264323383707 119304 198 316 100 — — — — — —
201132 AAA MLE2 teams — 629564 15125010 551155 13 268343365708 98313 189 315 99 — — — — — —
201233 INTL MLE2 teams — 411371 931606 321015 31 251318342660 92322 258 292 84 — — — — — —
201334 INTL MLE2 teams — 118108 0000 8691 20 7676 587 77 -62 — — — — — —
201435 AAA MLE2 teams — 401367 718011 24977 10 193260305565 112223 246 246 53 — — — — — —
201536 AAA MLELeones de Yucatan — 236210 36605 21653 00 171259271530 100209 289 237 47 — — — — — —
201637 AAA MLE2 teams — 270245 50916 22771 01 204274322597 118258 298 266 66 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 553510 11925212 321374 00 233284361645 127292 256 286 76 -14 +0 +6 +12 +12 1.6
/ 162G— A+C — 650599 13929214 381615 00 232283357641 125291 256 286 76 -16 +0 +7 +14 +14 1.9
Career— MLE — 36903340 772133871 26786727 99 231293340633 108287 237 281 76 -14 +0 +6 +12 +12 1.6
/ 162G— MLE — 650588 13623113 471535 22 231293340633 109287 247 281 76 -16 +0 +7 +14 +14 1.9

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.

2016 AAAVaqueros de la Laguna · 231 PAwOBA .336 → .266 (−69)K% 23.4% → 28.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.38%÷0.986×1.200——28.46%
BB% (unintentional) /PA12.99%÷1.051×0.690—×0.9408.01%
HBP% /PA0.43%—×0.940—×0.9400.38%
Singles /BIP22.14%÷0.963×0.930×0.995×0.94020.00%
Doubles /BIP6.43%÷0.992×0.830×0.995×0.9405.03%
Triples /BIP0.71%÷1.046×0.920×0.995×0.9400.59%
Home runs /BIP5.00%÷0.929×0.700—×0.9403.54%

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 37 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (9.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.995.

Result: wOBA .336 → .266; ISO .165 → .126; BABIP .299 → .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).

2015 AAALeones de Yucatan · 236 PAwOBA .297 → .237 (−60)K% 22.9% → 27.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.88%÷1.000×1.200——27.46%
BB% (unintentional) /PA13.14%÷0.949×0.690—×0.9408.98%
HBP% /PA1.27%—×0.940—×0.9401.12%
Singles /BIP19.58%÷1.005×0.930×0.978×0.94016.66%
Doubles /BIP4.90%÷0.935×0.830×0.978×0.9404.00%
Triples /BIP0.00%÷1.150×0.920×0.978×0.9400.00%
Home runs /BIP4.20%÷0.849×0.700—×0.9403.25%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 70, 1B 101, 2B 87, 3B 130, K 100, BB 90 — applied at half strength. Age: age 36 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (8.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.978.

Result: wOBA .297 → .237; ISO .127 → .103; BABIP .250 → .209. 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 AAASultanes de Monterrey · 304 PAwOBA .309 → .246 (−63)K% 19.4% → 24.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.41%÷0.961×1.200——24.23%
BB% (unintentional) /PA9.54%÷1.030×0.690—×0.9406.01%
HBP% /PA1.32%—×0.940—×0.9401.16%
Singles /BIP21.57%÷0.999×0.930×1.009×0.94019.05%
Doubles /BIP3.43%÷0.963×0.830×1.009×0.9402.81%
Triples /BIP0.00%÷0.900×0.920×1.009×0.9400.00%
Home runs /BIP5.39%÷0.917×0.700—×0.9403.87%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 100, 2B 93, 3B 80, K 92, BB 106 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.009.

Result: wOBA .309 → .246; ISO .152 → .114; BABIP .259 → .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).

2013 AAMobile BayBears · 19 PAwOBA .111 → .077 (−34)K% 47.4% → 58.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA47.37%÷0.993×1.220——58.19%
BB% (unintentional) /PA10.53%÷0.994×0.680—×0.9406.77%
HBP% /PA5.26%—×0.840—×0.9404.16%
Singles /BIP0.00%÷1.022×0.920—×0.9400.00%
Doubles /BIP0.00%÷1.089×0.910—×0.9400.00%
Triples /BIP0.00%÷1.023×0.880—×0.9400.00%
Home runs /BIP0.00%÷1.071×0.800—×0.9400.00%

Factors used: league row SL. Park (home-season share, regressed): HR 114, 1B 104, 2B 118, 3B 105, K 99, BB 99 — applied at half strength. Age: age 34 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (9.2 yr older than average).

Result: wOBA .111 → .077; ISO .000 → .000; BABIP .000 → .000. 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 · 203 PAwOBA .379 → .292 (−87)K% 20.2% → 24.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.20%÷0.984×1.200——24.63%
BB% (unintentional) /PA11.82%÷0.984×0.690—×0.9427.81%
HBP% /PA0.49%—×0.940—×0.9420.44%
Singles /BIP29.63%÷1.015×0.930×1.010×0.94225.84%
Doubles /BIP8.15%÷1.092×0.830×1.010×0.9425.90%
Triples /BIP0.00%÷1.128×0.920×1.010×0.9420.00%
Home runs /BIP3.70%÷1.081×0.700—×0.9422.26%

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 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 ×1.010.

Result: wOBA .379 → .292; ISO .148 → .098; BABIP .389 → .322. 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 · 399 PAwOBA .393 → .315 (−78)K% 14.8% → 18.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.79%÷0.972×1.200——18.26%
BB% (unintentional) /PA13.53%÷1.026×0.690—×0.9528.66%
HBP% /PA1.25%—×0.940—×0.9521.12%
Singles /BIP29.20%÷1.003×0.930×0.990×0.95225.52%
Doubles /BIP6.93%÷0.997×0.830×0.990×0.9525.44%
Triples /BIP0.00%÷1.020×0.920×0.990×0.9520.00%
Home runs /BIP3.65%÷1.053×0.700—×0.9522.31%

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 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 ×0.990.

Result: wOBA .393 → .315; ISO .147 → .107; BABIP .369 → .313. 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 AAASultanes de Monterrey · 348 PAwOBA .381 → .316 (−65)K% 15.8% → 18.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.80%÷1.006×1.200——18.85%
BB% (unintentional) /PA12.07%÷1.030×0.690—×0.9627.78%
HBP% /PA0.29%—×0.940—×0.9620.26%
Singles /BIP27.39%÷1.009×0.930×1.002×0.96224.32%
Doubles /BIP6.22%÷0.984×0.830×1.002×0.9625.06%
Triples /BIP1.24%÷1.137×0.920×1.002×0.9620.97%
Home runs /BIP3.73%÷0.947×0.700—×0.9622.66%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 102, 2B 97, 3B 127, K 101, BB 106 — 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 ×1.002.

Result: wOBA .381 → .316; ISO .162 → .129; BABIP .353 → .304. 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 AAASultanes de Monterrey · 252 PAwOBA .365 → .300 (−65)K% 19.0% → 22.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.05%÷1.000×1.200——22.86%
BB% (unintentional) /PA14.29%÷1.000×0.690—×0.9729.58%
HBP% /PA0.00%—×0.940—×0.9720.00%
Singles /BIP23.12%÷1.000×0.930×1.007×0.97221.05%
Doubles /BIP6.25%÷1.000×0.830×1.007×0.9725.08%
Triples /BIP0.62%÷1.000×0.920×1.007×0.9720.56%
Home runs /BIP5.62%÷1.000×0.700—×0.9723.83%

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 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 ×1.007.

Result: wOBA .365 → .300; ISO .188 → .145; BABIP .306 → .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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .