Juan Carlos Gamboa

PosSS
B/TL/R
Born1991-04-18
Age (2027)36
No MLB projection yet. Career stats below are historical.
Overview
INTLPROSPECT
MLB%0%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WAR
202332INTLMexico242.184/.287/.2855264—
202433INTLYaquis de Obr…189.250/.371/.38542117—
202534INTLMexico Rojo148.262/.359/.39734113—
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)
201019 ROKDSL Mets 1 — 256221 651140 34310 167 294388380768 86342 1213 350 44 — — — — — —
201019 INTLCaneros de los Mochis — 4438 6000 480 12 158238158396 194 189 187 13 — — — — — —
201120 AAADiablos Rojos del Mexico — 5749 13402 3110 10 265308469777 204297 195 311 72 — — — — — —
201120 ROKKingsport Mets — 148131 38803 15300 42 290363420783 130350 2010 347 63 — — — — — —
201120 INTLCaneros de los Mochis — 176153 36906 17392 11 235320412732 176278 2210 320 103 — — — — — —
201221 INTLCaneros de los Mochis — 7863 17502 13160 20 270395444839 175326 2117 368 135 — — — — — —
201322 INTLCaneros de los Mochis — 9074 21202 11141 01 284384392776 108322 1612 339 116 — — — — — —
201423 AAADiablos Rojos del Mexico — 356307 942247 38564 66 306390472862 166352 1611 376 95 — — — — — —
201423 INTLCaneros de los Mochis — 256218 55906 30430 31 252343376719 124290 1712 317 101 — — — — — —
201524 AAADiablos Rojos del Mexico — 304259 842006 33454 47 324407471878 147366 1511 384 103 — — — — — —
201524 INTLCaneros de los Mochis — 243212 42814 28382 41 198298302599 104224 1612 278 74 — — — — — —
201625 AAADiablos Rojos del Mexico — 337299 961719 27604 23 321385475860 154373 188 375 87 — — — — — —
201625 INTLCaneros de los Mochis — 230202 50701 20470 62 248315297612 50318 209 274 72 — — — — — —
201726 AAADiablos Rojos del Mexico — 10185 28602 14151 31 329430471901 141377 1514 401 105 — — — — — —
201726 INTLCaneros de los Mochis — 186165 42425 19402 12 255339394733 139308 2210 331 110 — — — — — —
201827 INTLYaquis de Obregon — 260217 52707 36472 71 240353369722 129271 1814 325 106 — — — — — —
201928 AAADiablos Rojos del Mexico — 398333 11522011 54714 44 345442511953 165406 1814 417 95 — — — — — —
201928 INTLMexico — 233202 40403 21553 44 198283262546 64253 249 249 55 — — — — — —
202029 INTLMexico — 186154 42703 29211 35 273391377768 104295 1116 350 123 — — — — — —
202130 INTLYaquis de Obregon — 167139 29603 23311 21 209325317642 108248 1914 292 84 — — — — — —
202231 INTLYaquis de Obregon — 229192 40900 26570 52 208303255558 47284 2511 252 57 — — — — — —
202332 INTLMexico — 242207 38605 26474 21 184287285572 101213 1911 263 64 — — — — — —
202433 INTLYaquis de Obregon — 189156 39904 27363 20 250371385756 135302 1914 341 117 — — — — — —
202534 INTLMexico Rojo — 148126 33423 19210 41 262359397755 135291 1413 335 113 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201019 ROK MLEDSL Mets 1 — 256232 44720 23380 167 190263237500 47229 159 233 44 — — — — — —
201120 AAA MLEDiablos Rojos del Mexico — 5750 12301 2130 10 240269360629 120269 234 274 72 — — — — — —
201120 ROK MLEKingsport Mets — 148136 30602 10430 42 221274309583 88297 297 262 63 — — — — — —
201423 AAA MLEDiablos Rojos del Mexico — 356321 831734 24724 66 259318368686 109314 207 308 95 — — — — — —
201524 AAA MLEDiablos Rojos del Mexico — 304275 771604 18604 47 280333382715 102330 206 320 103 — — — — — —
201625 AAA MLEDiablos Rojos del Mexico — 337310 821215 16814 23 265309358667 94331 245 297 87 — — — — — —
201726 AAA MLEDiablos Rojos del Mexico — 10190 25501 9191 31 278350367717 89327 199 324 105 — — — — — —
201928 AAA MLEDiablos Rojos del Mexico — 398354 931507 33984 44 263332364697 102329 258 309 95 — — — — — —
201019 ROK MLE2 teams — 300270 52830 27440 179 193266244510 52229 159 233 44 — — — — — —
201019 ROK RAW2 teams — 300259 711140 38390 179 274367347714 73321 1313 326 44 — — — — — —
201120 INTL MLE3 teams — 381346 801707 221042 63 231281341622 110307 276 265 66 — — — — — —
201120 INTL RAW3 teams — 381333 8721011 35802 63 261335423759 162310 219 329 66 — — — — — —
201221 INTL MLECaneros de los Mochis — 7863 17502 13160 20 270395444839 175326 2117 — — — — — — — —
201221 INTL RAWCaneros de los Mochis — 7863 17502 13160 20 270395444839 175326 2117 368 135 — — — — — —
201322 INTL MLECaneros de los Mochis — 9074 21202 11141 01 284384392776 108322 1612 — — — — — — — —
201322 INTL RAWCaneros de los Mochis — 9074 21202 11141 01 284384392776 108322 1612 339 116 — — — — — —
201423 AAA MLE2 teams — 612551 1452968 421244 97 263320381701 118325 207 308 95 — — — — — —
201423 AAA RAW2 teams — 612525 14931413 68994 97 284370432803 149327 1611 351 95 — — — — — —
201524 AAA MLE2 teams — 547501 1402908 321086 88 279330385715 106338 206 320 103 — — — — — —
201524 AAA RAW2 teams — 547471 12628110 61836 88 268358395753 127303 1511 337 103 — — — — — —
201625 AAA MLE2 teams — 567522 1392119 261364 85 266306362668 96342 245 297 87 — — — — — —
201625 AAA RAW2 teams — 567501 14624110 471074 85 291357403760 112351 198 334 87 — — — — — —
201726 INTL MLE2 teams — 287257 711304 26533 43 276350374723 97333 189 324 105 — — — — — —
201726 INTL RAW2 teams — 287250 701027 33553 43 280371420791 140333 1911 355 105 — — — — — —
201827 INTL MLEYaquis de Obregon — 260217 52707 36472 71 240353369722 129271 1814 — — — — — — — —
201827 INTL RAWYaquis de Obregon — 260217 52707 36472 71 240353369722 129271 1814 325 106 — — — — — —
201928 AAA MLE2 teams — 631558 14723011 521557 88 263334364698 100341 258 309 95 — — — — — —
201928 AAA RAW2 teams — 631535 15526014 751267 88 290384417801 127351 2012 355 95 — — — — — —
202029 INTL MLEMexico — 186154 42703 29211 35 273391377768 104295 1116 — — — — — — — —
202029 INTL RAWMexico — 186154 42703 29211 35 273391377768 104295 1116 350 123 — — — — — —
202130 INTL MLEYaquis de Obregon — 167139 29603 23311 21 209325317642 108248 1914 — — — — — — — —
202130 INTL RAWYaquis de Obregon — 167139 29603 23311 21 209325317642 108248 1914 292 84 — — — — — —
202231 INTL MLEYaquis de Obregon — 229192 40900 26570 52 208303255558 47284 2511 — — — — — — — —
202231 INTL RAWYaquis de Obregon — 229192 40900 26570 52 208303255558 47284 2511 252 57 — — — — — —
202332 INTL MLEMexico — 242207 38605 26474 21 184287285572 101213 1911 — — — — — — — —
202332 INTL RAWMexico — 242207 38605 26474 21 184287285572 101213 1911 263 64 — — — — — —
202433 INTL MLEYaquis de Obregon — 189156 39904 27363 20 250371385756 135302 1914 — — — — — — — —
202433 INTL RAWYaquis de Obregon — 189156 39904 27363 20 250371385756 135302 1914 341 117 — — — — — —
202534 INTL MLEMexico Rojo — 148126 33423 19210 41 262359397755 135291 1413 — — — — — — — —
202534 INTL RAWMexico Rojo — 148126 33423 19210 41 262359397755 135291 1413 335 113 — — — — — —
201019 ROK MLE2 teams — 300270 52830 27440 179 193266244510 52229 159 233 44 — — — — — —
201120 INTL MLE3 teams — 381354 801707 221042 63 226281333614 107289 276 265 66 — — — — — —
201423 AAA MLE2 teams — 612561 1452968 421244 97 258320374694 116314 207 308 95 — — — — — —
201524 AAA MLE2 teams — 547504 1402908 321086 88 278330383713 105330 206 320 103 — — — — — —
201625 AAA MLE2 teams — 567532 1392119 261364 85 261306355661 94331 245 297 87 — — — — — —
201726 INTL MLE2 teams — 287256 711304 26533 43 277350375725 98327 189 324 105 — — — — — —
201928 AAA MLE2 teams — 631567 14723011 521557 88 259334358692 99329 258 309 95 — — — — — —
▸ Career Totals
Career— MLE — 49144333 10851951276 437101438 8755 250324354678 103308 219 202 23 -452 -5 +0 +53 +106 -30.4
/ 162G— MLE — 650573 14426210 581345 127 251325356681 105309 219 202 23 -60 -0 +0 +7 +14 -4.0

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 AAADiablos Rojos del Mexico · 398 PAwOBA .409 → .309 (−100)K% 17.8% → 24.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.84%÷0.871×1.200——24.57%
BB% (unintentional) /PA12.56%÷1.035×0.690—×0.9928.30%
HBP% /PA1.01%—×0.940—×0.9920.94%
Singles /BIP31.30%÷1.013×0.930×0.950×0.99227.08%
Doubles /BIP8.40%÷1.185×0.830×0.950×0.9925.54%
Triples /BIP0.00%÷1.150×0.920×0.950×0.9920.00%
Home runs /BIP4.20%÷1.116×0.700—×0.9922.61%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 123, 1B 103, 2B 137, 3B 130, K 74, BB 107 — 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 ×0.950.

Result: wOBA .409 → .309; ISO .165 → .106; BABIP .406 → .329. 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 AAADiablos Rojos del Mexico · 101 PAwOBA .392 → .324 (−67)K% 14.9% → 18.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.85%÷0.967×1.200——18.42%
BB% (unintentional) /PA12.87%÷1.003×0.690—×1.0189.01%
HBP% /PA0.99%—×0.940—×1.0180.95%
Singles /BIP28.57%÷1.036×0.930×1.004×1.01826.22%
Doubles /BIP8.57%÷1.143×0.830×1.004×1.0186.36%
Triples /BIP0.00%÷1.093×0.920×1.004×1.0180.00%
Home runs /BIP2.86%÷1.080×0.700—×1.0181.89%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 107, 2B 129, 3B 119, K 93, BB 101 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.

Result: wOBA .392 → .324; ISO .141 → .102; BABIP .377 → .327. 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 AAADiablos Rojos del Mexico · 337 PAwOBA .363 → .297 (−66)K% 17.8% → 23.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.80%÷0.894×1.200——23.90%
BB% (unintentional) /PA6.53%÷1.001×0.690—×1.0334.65%
HBP% /PA1.19%—×0.940—×1.0331.15%
Singles /BIP28.87%÷1.027×0.930×1.008×1.03327.22%
Doubles /BIP7.11%÷1.188×0.830×1.008×1.0335.18%
Triples /BIP0.42%÷1.150×0.920×1.008×1.0330.35%
Home runs /BIP3.77%÷1.183×0.700—×1.0332.30%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 137, 1B 105, 2B 138, 3B 130, K 79, BB 100 — 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 ×1.008.

Result: wOBA .363 → .297; ISO .154 → .101; BABIP .373 → .331. 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 · 304 PAwOBA .377 → .320 (−57)K% 14.8% → 19.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.80%÷0.900×1.200——19.74%
BB% (unintentional) /PA9.87%÷1.204×0.690—×1.0485.93%
HBP% /PA1.32%—×0.940—×1.0481.30%
Singles /BIP27.10%÷1.045×0.930×1.017×1.04825.70%
Doubles /BIP9.35%÷1.122×0.830×1.017×1.0487.37%
Triples /BIP0.00%÷1.123×0.920×1.017×1.0480.00%
Home runs /BIP2.80%÷1.043×0.700—×1.0481.97%

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 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.017.

Result: wOBA .377 → .320; ISO .147 → .114; BABIP .366 → .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).

2014 AAADiablos Rojos del Mexico · 356 PAwOBA .365 → .308 (−57)K% 15.7% → 20.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.73%÷0.931×1.200——20.28%
BB% (unintentional) /PA9.27%÷0.991×0.690—×1.0506.77%
HBP% /PA1.12%—×0.940—×1.0501.11%
Singles /BIP24.30%÷1.039×0.930×1.018×1.05023.24%
Doubles /BIP8.76%÷1.183×0.830×1.018×1.0506.57%
Triples /BIP1.59%÷1.150×0.920×1.018×1.0501.36%
Home runs /BIP2.79%÷1.180×0.700—×1.0501.74%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 136, 1B 108, 2B 137, 3B 130, K 86, BB 98 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.

Result: wOBA .365 → .308; ISO .166 → .121; BABIP .352 → .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).

2011 ROKKingsport Mets · 148 PAwOBA .343 → .262 (−81)K% 20.3% → 28.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.27%÷1.000×1.420——28.78%
BB% (unintentional) /PA10.14%÷1.000×0.640—×0.9956.45%
HBP% /PA0.00%—×0.740—×0.9950.00%
Singles /BIP26.73%÷1.000×0.840×1.050×0.99523.46%
Doubles /BIP7.92%÷1.000×0.740×1.050×0.9956.12%
Triples /BIP0.00%÷1.000×0.740×1.050×0.9950.00%
Home runs /BIP2.97%÷1.000×0.800—×0.9952.36%

Factors used: level-wide ROK 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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .343 → .262; ISO .130 → .097; BABIP .350 → .297. 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 AAADiablos Rojos del Mexico · 57 PAwOBA .307 → .274 (−33)K% 19.3% → 23.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.30%÷0.990×1.200——23.39%
BB% (unintentional) /PA5.26%÷1.003×0.690—×1.0503.80%
HBP% /PA0.00%—×0.940—×1.0500.00%
Singles /BIP18.42%÷1.023×0.930×1.050×1.05018.45%
Doubles /BIP10.53%÷1.180×0.830×1.050×1.0508.16%
Triples /BIP0.00%÷1.150×0.920×1.050×1.0500.00%
Home runs /BIP5.26%÷1.104×0.700—×1.0503.50%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 121, 1B 105, 2B 136, 3B 130, K 98, BB 101 — applied at half strength. Age: age 20 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (7.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .307 → .274; ISO .204 → .158; BABIP .297 → .269. 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 DSLDSL Mets 1 · 256 PAwOBA .340 → .233 (−107)K% 12.1% → 14.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.11%÷1.000×1.220——14.77%
BB% (unintentional) /PA12.89%÷1.000×0.700—×0.9958.98%
HBP% /PA0.00%—×0.700—×0.9950.00%
Singles /BIP26.32%÷1.000×0.680×1.018×0.99518.13%
Doubles /BIP5.79%÷1.000×0.600×1.018×0.9953.52%
Triples /BIP2.11%÷1.000×0.600×1.018×0.9951.28%
Home runs /BIP0.00%÷1.000×0.470—×0.9950.00%

Factors used: level-wide DSL 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 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.

Result: wOBA .340 → .233; ISO .086 → .054; BABIP .342 → .229. 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 — .