Cam Maron

PosC
B/TL/R
Born1991-01-20
Age (2027)36
No MLB projection yet. Career stats below are historical.
Overview
AALAST SEASON 2017
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201524AA/A+2 orgs182.242/.335/.3122153—.213/.274/.273
201625AAJacksonville …188.302/.392/.3701194—.288/.349/.353
201726AAMIA270.270/.366/.3865065—.220/.284/.301
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)
200918 ROKGCL Mets — 4941 12201 771 10 293408415823 122333 1414 376 74 — — — — — —
201019 ROKGCL Mets — 5948 15111 781 00 312411438848 125359 1412 364 77 — — — — — —
201120 ROKKingsport Mets — 248201 64813 38343 42 318434413847 95372 1415 379 89 — — — — — —
201221 ASavannah Sand Gnats — 409343 1031825 53738 21 300406408814 108366 1813 367 99 — — — — — —
201322 A+St. Lucie Mets — 325285 671320 38491 10 235327295622 60284 1512 290 53 — — — — — —
201322 INTLScottsdale Scorpions — 6351 11200 12120 00 216365255620 39282 1919 303 91 — — — — — —
201423 A+St. Lucie Mets — 416348 981523 61682 11 282392362754 80337 1615 345 84 — — — — — —
201524 AAPensacola Blue Wahoos — 10587 20301 15160 00 230343299642 69268 1514 294 63 — — — — — —
201524 A+High Desert Mavericks — 7770 18201 7140 10 257325329653 71309 189 300 40 — — — — — —
201625 AAJacksonville Suns — 188162 49801 24230 10 302392370763 68348 1213 347 94 — — — — — —
201726 AAJacksonville Jumbo Shrimp — 270233 631015 35450 00 270366386752 116314 1713 340 65 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200918 ROK MLEGCL Mets — 4944 9101 4101 10 205286295581 91272 208 277 74 — — — — — —
201019 ROK MLEGCL Mets — 5951 14111 4121 00 275339392731 118290 207 282 77 — — — — — —
201120 ROK MLEKingsport Mets — 248217 58613 22483 42 267343346689 78319 199 300 89 — — — — — —
201221 A MLESavannah Sand Gnats — 409362 991724 34958 21 273349365714 91348 238 315 99 — — — — — —
201322 A+ MLESt. Lucie Mets — 325293 601310 30711 10 205281256537 51270 229 247 53 — — — — — —
201423 A+ MLESt. Lucie Mets — 416368 901612 41982 11 245324310633 65321 2410 292 84 — — — — — —
201524 AA MLEPensacola Blue Wahoos — 10593 21301 9200 00 226294290584 65268 199 261 63 — — — — — —
201524 A+ MLEHigh Desert Mavericks — 7772 14101 5190 10 194247250497 56263 256 228 40 — — — — — —
201625 AA MLEJacksonville Suns — 188170 49801 16280 10 288349353702 65338 159 307 94 — — — — — —
201726 AA MLEJacksonville Jumbo Shrimp — 270246 54913 22560 00 220284301584 81267 218 264 65 — — — — — —
200918 ROK MLEGCL Mets — 4944 9101 4101 10 205286295581 91242 208 277 74 — — — — — —
200918 ROK RAWGCL Mets — 4941 12201 771 10 293408415823 122333 1414 376 74 — — — — — —
201019 ROK MLEGCL Mets — 5951 14111 4121 00 275339392731 118342 207 282 77 — — — — — —
201019 ROK RAWGCL Mets — 5948 15111 781 00 312411438848 125359 1412 364 77 — — — — — —
201120 ROK MLEKingsport Mets — 248217 58613 22483 42 267343346689 78331 199 300 89 — — — — — —
201120 ROK RAWKingsport Mets — 248201 64813 38343 42 318434413847 95372 1415 379 89 — — — — — —
201221 A MLESavannah Sand Gnats — 409362 991724 34958 21 273349365714 91357 238 315 99 — — — — — —
201221 A RAWSavannah Sand Gnats — 409343 1031825 53738 21 300406408814 108366 1813 367 99 — — — — — —
201322 A+ MLE2 teams — 388350 721620 36851 10 206282263545 57272 229 247 53 — — — — — —
201322 A+ RAW2 teams — 388336 781520 50611 10 232333289622 57284 1613 292 53 — — — — — —
201423 A+ MLESt. Lucie Mets — 416368 901612 41982 11 245324310633 65322 2410 292 84 — — — — — —
201423 A+ RAWSt. Lucie Mets — 416348 981523 61682 11 282392362754 80337 1615 345 84 — — — — — —
201524 AA MLE2 teams — 182165 36502 14390 10 218279285564 67272 218 247 53 — — — — — —
201524 AA RAW2 teams — 182157 38502 22300 10 242335312647 70286 1612 297 53 — — — — — —
201625 AA MLEJacksonville Suns — 188170 49801 16280 10 288349353702 65340 159 307 94 — — — — — —
201625 AA RAWJacksonville Suns — 188162 49801 24230 10 302392370763 68348 1213 347 94 — — — — — —
201726 AA MLEJacksonville Jumbo Shrimp — 270246 54913 22560 00 220284301584 81270 218 264 65 — — — — — —
201726 AA RAWJacksonville Jumbo Shrimp — 270233 631015 35450 00 270366386752 116314 1713 340 65 — — — — — —
200918 ROK MLEGCL Mets — 4944 9101 4101 10 205286295581 91272 208 277 74 — — — — — —
201019 ROK MLEGCL Mets — 5954 14111 4121 00 259339370710 111290 207 282 77 — — — — — —
201120 ROK MLEKingsport Mets — 248221 58613 22483 42 262343339682 77319 199 300 89 — — — — — —
201221 A MLESavannah Sand Gnats — 409364 991724 34958 21 272349363712 91348 238 315 99 — — — — — —
201322 A+ MLE2 teams — 388348 721620 36851 10 207282264546 57270 229 247 53 — — — — — —
201423 A+ MLESt. Lucie Mets — 416370 901612 41982 11 243324308632 65321 2410 292 84 — — — — — —
201524 AA MLE2 teams — 182166 36502 14390 10 217279283562 66266 218 247 53 — — — — — —
201625 AA MLEJacksonville Suns — 188170 49801 16280 10 288349353702 65338 159 307 94 — — — — — —
201726 AA MLEJacksonville Jumbo Shrimp — 270246 54913 22560 00 220284301584 81267 218 264 65 — — — — — —
▸ Career Totals
Career— MLE — 22091973 48179817 19347116 114 244316318634 74310 219 283 78 -59 +1 +0 +39 +48 2.9
/ 162G— MLE — 650581 1412325 571395 31 243316315631 72309 219 283 78 -17 +0 +0 +12 +14 0.9

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.

2017 AAJacksonville Jumbo Shrimp · 270 PAwOBA .333 → .264 (−68)K% 16.7% → 20.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.67%÷0.978×1.220——20.79%
BB% (unintentional) /PA12.59%÷1.042×0.680—×0.9888.12%
HBP% /PA0.00%—×0.840—×0.9880.00%
Singles /BIP25.00%÷1.029×0.920×0.969×0.98821.39%
Doubles /BIP5.32%÷0.985×0.910×0.969×0.9884.70%
Triples /BIP0.53%÷1.070×0.880×0.969×0.9880.42%
Home runs /BIP2.66%÷1.185×0.800—×0.9881.77%

Factors used: league row SL. Park (home-season share, regressed): HR 137, 1B 106, 2B 97, 3B 114, K 96, BB 108 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.969.

Result: wOBA .333 → .264; ISO .116 → .089; BABIP .314 → .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).

2016 AAJacksonville Suns · 188 PAwOBA .339 → .307 (−32)K% 12.2% → 15.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.23%÷0.986×1.220——15.14%
BB% (unintentional) /PA12.77%÷1.029×0.680—×0.9988.42%
HBP% /PA0.00%—×0.840—×0.9980.00%
Singles /BIP28.78%÷0.993×0.920×1.050×0.99827.94%
Doubles /BIP5.76%÷0.957×0.910×1.050×0.9985.73%
Triples /BIP0.00%÷1.013×0.880×1.050×0.9980.00%
Home runs /BIP0.72%÷1.423×0.800—×0.9980.40%

Factors used: league row SL. Park (home-season share, regressed): HR 185, 1B 99, 2B 91, 3B 103, K 97, BB 106 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .339 → .307; ISO .068 → .062; BABIP .348 → .338. 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 AAPensacola Blue Wahoos · 105 PAwOBA .290 → .261 (−29)K% 15.2% → 19.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.24%÷0.979×1.220——18.99%
BB% (unintentional) /PA14.29%÷1.087×0.680—×1.0129.04%
HBP% /PA0.00%—×0.840—×1.0120.00%
Singles /BIP22.54%÷0.965×0.920×1.043×1.01222.67%
Doubles /BIP4.23%÷0.979×0.910×1.043×1.0124.14%
Triples /BIP0.00%÷0.903×0.880×1.043×1.0120.00%
Home runs /BIP1.41%÷1.037×0.800—×1.0121.10%

Factors used: league row SL. Park (home-season share, regressed): HR 107, 1B 93, 2B 96, 3B 81, K 96, BB 117 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.043.

Result: wOBA .290 → .261; ISO .069 → .065; BABIP .268 → .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).

2015 A+High Desert Mavericks · 77 PAwOBA .293 → .228 (−64)K% 18.2% → 25.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.18%÷0.973×1.340——25.03%
BB% (unintentional) /PA9.09%÷1.021×0.710—×0.9886.24%
HBP% /PA0.00%—×0.790—×0.9880.00%
Singles /BIP26.79%÷1.041×0.910×0.999×0.98823.11%
Doubles /BIP3.57%÷1.046×0.820×0.999×0.9882.76%
Triples /BIP0.00%÷0.900×0.760×0.999×0.9880.00%
Home runs /BIP1.79%÷1.015×0.920—×0.9881.60%

Factors used: league row CAL. Park (home-season share, regressed): HR 103, 1B 108, 2B 109, 3B 80, K 95, BB 104 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .293 → .228; ISO .071 → .057; BABIP .309 → .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).

2014 A+St. Lucie Mets · 416 PAwOBA .341 → .292 (−49)K% 16.3% → 23.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.35%÷0.984×1.420——23.59%
BB% (unintentional) /PA14.66%÷1.106×0.750—×0.9989.93%
HBP% /PA0.48%—×0.930—×0.9980.45%
Singles /BIP27.86%÷1.018×0.920×1.030×0.99825.89%
Doubles /BIP5.36%÷0.883×0.960×1.030×0.9985.99%
Triples /BIP0.71%÷1.150×0.810×1.030×0.9980.52%
Home runs /BIP1.07%÷1.054×0.880—×0.9980.89%

Factors used: league row FSL. Park (home-season share, regressed): HR 111, 1B 104, 2B 77, 3B 130, K 97, BB 121 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.030.

Result: wOBA .341 → .292; ISO .080 → .077; BABIP .337 → .321. 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 A+St. Lucie Mets · 325 PAwOBA .283 → .247 (−36)K% 15.1% → 21.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.08%÷0.979×1.420——21.88%
BB% (unintentional) /PA11.69%÷0.949×0.750—×1.0129.35%
HBP% /PA0.31%—×0.930—×1.0120.29%
Singles /BIP22.03%÷1.052×0.920×1.050×1.01220.47%
Doubles /BIP5.51%÷0.959×0.960×1.050×1.0125.86%
Triples /BIP0.85%÷1.114×0.810×1.050×1.0120.65%
Home runs /BIP0.00%÷1.370×0.880—×1.0120.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 174, 1B 110, 2B 92, 3B 123, K 96, BB 90 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .283 → .247; ISO .060 → .056; BABIP .284 → .270. 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 ASavannah Sand Gnats · 409 PAwOBA .361 → .315 (−46)K% 17.8% → 23.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.85%÷1.032×1.340——23.17%
BB% (unintentional) /PA12.96%÷1.055×0.660—×1.0158.23%
HBP% /PA1.96%—×0.770—×1.0151.53%
Singles /BIP28.89%÷0.998×0.920×1.028×1.01527.78%
Doubles /BIP6.67%÷0.920×0.820×1.028×1.0156.20%
Triples /BIP0.74%÷1.105×0.940×1.028×1.0150.66%
Home runs /BIP1.85%÷0.954×0.820—×1.0151.62%

Factors used: league row SAL. Park (home-season share, regressed): HR 91, 1B 100, 2B 84, 3B 121, K 106, BB 111 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.028.

Result: wOBA .361 → .315; ISO .108 → .099; BABIP .366 → .348. 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 · 248 PAwOBA .366 → .300 (−66)K% 13.7% → 19.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.71%÷1.000×1.420——19.47%
BB% (unintentional) /PA14.11%÷1.000×0.640—×0.9958.99%
HBP% /PA1.21%—×0.740—×0.9950.89%
Singles /BIP31.14%÷1.000×0.840×1.050×0.99527.33%
Doubles /BIP4.79%÷1.000×0.740×1.050×0.9953.70%
Triples /BIP0.60%÷1.000×0.740×1.050×0.9950.46%
Home runs /BIP1.80%÷1.000×0.800—×0.9951.43%

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 .366 → .300; ISO .095 → .078; BABIP .372 → .319. 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 — .