Jon Kemmer

PosLF
B/TL/L
Born1990-11-17
Age (2027)36
No MLB projection yet. Career stats below are historical.
Overview
INTLLAST SEASON 2020
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201827AAAWSH463.244/.328/.45117571—.195/.258/.362
201928AAA/INTL2 orgs479.297/.395/.55227293—.223/.312/.418
202029INTLAguilas Cibae…15.250/.400/.33300122—
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)
201423 A+Lancaster JetHawks — 159153 4510112 4331 01 294316608924 314303 213 395 84 — — — — — —
201423 AQuad Cities River Bandits — 204180 521514 20393 31 289369450819 161350 1910 364 74 — — — — — —
201524 AACorpus Christi Hooks — 425364 11928418 458912 91 327418574992 247387 2111 429 120 — — — — — —
201625 AAAFresno Grizzlies — 452407 10824418 381285 810 265336477812 211342 288 356 64 — — — — — —
201726 AAAFresno Grizzlies — 358304 9117316 44958 62 299402533935 234385 2712 409 101 — — — — — —
201827 AAARochester Red Wings — 463410 10024517 421259 52 244328451779 207307 279 344 71 — — — — — —
201928 AAAOklahoma City Dodgers — 401339 10821027 4510216 11 3194226191.042 301384 2511 450 103 — — — — — —
201928 INTLAlgodoneros de Guasave — 7872 14300 5291 10 194256236493 42326 376 231 43 — — — — — —
202029 INTLAguilas Cibaenas — 1512 3100 231 00 250400333733 83333 2013 348 122 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201423 A+ MLELancaster JetHawks — 159154 36818 3471 01 234253455708 221271 302 293 84 — — — — — —
201423 A MLEQuad Cities River Bandits — 204187 441213 13533 31 235296358654 123302 266 278 74 — — — — — —
201524 AA MLECorpus Christi Hooks — 425379 10224413 3011312 91 269342456799 187339 277 346 120 — — — — — —
201625 AAA MLEFresno Grizzlies — 452418 8517313 271665 810 203260352612 148294 376 263 64 — — — — — —
201726 AAA MLEFresno Grizzlies — 358318 7514212 301248 62 236317406723 170341 358 318 101 — — — — — —
201827 AAA MLERochester Red Wings — 463425 8318415 271539 52 195258362620 167261 336 273 71 — — — — — —
201928 AAA MLEOklahoma City Dodgers — 401354 7915018 3013016 11 223312418731 195291 327 321 103 — — — — — —
201423 A MLE2 teams — 363341 8020211 161004 32 235277402679 167299 284 285 79 — — — — — —
201423 A RAW2 teams — 363333 9725216 24724 32 291346523869 231329 207 378 79 — — — — — —
201524 AA MLECorpus Christi Hooks — 425379 10224413 3011312 91 269342456799 187346 277 346 120 — — — — — —
201524 AA RAWCorpus Christi Hooks — 425364 11928418 458912 91 327418574992 247387 2111 429 120 — — — — — —
201625 AAA MLEFresno Grizzlies — 452418 8517313 271665 810 203260352612 148299 376 263 64 — — — — — —
201625 AAA RAWFresno Grizzlies — 452407 10824418 381285 810 265336477812 211342 288 356 64 — — — — — —
201726 AAA MLEFresno Grizzlies — 358318 7514212 301248 62 236317406723 170342 358 318 101 — — — — — —
201726 AAA RAWFresno Grizzlies — 358304 9117316 44958 62 299402533935 234385 2712 409 101 — — — — — —
201827 AAA MLERochester Red Wings — 463425 8318415 271539 52 195258362620 167263 336 273 71 — — — — — —
201827 AAA RAWRochester Red Wings — 463410 10024517 421259 52 244328451779 207307 279 344 71 — — — — — —
201928 AAA MLE2 teams — 479425 9518022 3615517 21 224310421731 198293 328 321 103 — — — — — —
201928 AAA RAW2 teams — 479411 12224027 5013117 21 297395552948 255374 2710 415 103 — — — — — —
202029 INTL MLEAguilas Cibaenas — 1512 3100 231 00 250400333733 83333 2013 — — — — — — — —
202029 INTL RAWAguilas Cibaenas — 1512 3100 231 00 250400333733 83333 2013 348 122 — — — — — —
201423 A MLE2 teams — 363340 8020211 161004 32 235277403680 168288 284 285 79 — — — — — —
201524 AA MLECorpus Christi Hooks — 425380 10224413 3011312 91 268342455797 187339 277 346 120 — — — — — —
201625 AAA MLEFresno Grizzlies — 452417 8517313 271665 810 204260353613 149294 376 263 64 — — — — — —
201726 AAA MLEFresno Grizzlies — 358317 7514212 301248 62 237317407724 170341 358 318 101 — — — — — —
201827 AAA MLERochester Red Wings — 463424 8318415 271539 52 196258363621 167261 336 273 71 — — — — — —
201928 AAA MLE2 teams — 479423 9518022 3615517 21 225310423733 199291 328 321 103 — — — — — —
▸ Career Totals
Career— MLE — 25552318 5231121586 16881456 3318 226294398692 173306 327 299 88 -36 -1 +0 -27 +55 -0.8
/ 162G— MLE — 650590 13328422 4320714 85 225294398692 173305 327 299 88 -9 -0 +0 -7 +14 -0.2

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 AAAOklahoma City Dodgers · 401 PAwOBA .438 → .321 (−117)K% 25.4% → 32.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.44%÷1.014×1.290——32.36%
BB% (unintentional) /PA10.72%÷0.993×0.710—×0.9827.53%
HBP% /PA3.99%—×0.980—×0.9823.84%
Singles /BIP25.32%÷1.048×0.900×0.950×0.98220.29%
Doubles /BIP8.86%÷1.012×0.810×0.950×0.9826.62%
Triples /BIP0.00%÷1.045×0.810×0.950×0.9820.00%
Home runs /BIP11.39%÷1.073×0.780—×0.9828.13%

Factors used: league row PCL. Park (home-season share, regressed): HR 115, 1B 110, 2B 102, 3B 109, K 103, BB 99 — 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 ×0.950.

Result: wOBA .438 → .321; ISO .301 → .206; BABIP .384 → .291. 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).

2018 AAARochester Red Wings · 463 PAwOBA .334 → .273 (−62)K% 27.0% → 33.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.00%÷0.978×1.200——33.14%
BB% (unintentional) /PA8.64%÷1.008×0.690—×0.9925.86%
HBP% /PA1.94%—×0.940—×0.9921.81%
Singles /BIP18.95%÷1.023×0.930×0.977×0.99216.69%
Doubles /BIP8.42%÷1.009×0.830×0.977×0.9926.71%
Triples /BIP1.75%÷1.150×0.970×0.977×0.9921.43%
Home runs /BIP5.96%÷0.879×0.840—×0.9925.65%

Factors used: league row IL. Park (home-season share, regressed): HR 76, 1B 105, 2B 102, 3B 130, K 96, 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 ×0.977.

Result: wOBA .334 → .273; ISO .207 → .177; BABIP .307 → .261. 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 AAAFresno Grizzlies · 358 PAwOBA .400 → .318 (−82)K% 26.5% → 34.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.54%÷0.992×1.290——34.50%
BB% (unintentional) /PA12.29%÷1.028×0.710—×1.0038.52%
HBP% /PA2.23%—×0.980—×1.0032.20%
Singles /BIP26.32%÷0.978×0.900×0.995×1.00324.18%
Doubles /BIP8.13%÷0.926×0.810×0.995×1.0037.10%
Triples /BIP1.44%÷1.150×0.810×0.995×1.0031.01%
Home runs /BIP7.66%÷0.963×0.780—×1.0036.22%

Factors used: league row PCL. Park (home-season share, regressed): HR 93, 1B 96, 2B 85, 3B 130, K 98, BB 106 — 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 ×0.995.

Result: wOBA .400 → .318; ISO .234 → .179; BABIP .385 → .341. 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 AAAFresno Grizzlies · 452 PAwOBA .348 → .263 (−85)K% 28.3% → 36.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.32%÷0.996×1.290——36.66%
BB% (unintentional) /PA8.41%÷1.008×0.710—×1.0186.03%
HBP% /PA1.11%—×0.980—×1.0181.10%
Singles /BIP22.22%÷1.000×0.900×1.003×1.01820.42%
Doubles /BIP8.60%÷1.061×0.810×1.003×1.0186.70%
Triples /BIP1.43%÷1.150×0.810×1.003×1.0181.03%
Home runs /BIP6.45%÷1.040×0.780—×1.0184.93%

Factors used: league row PCL. Park (home-season share, regressed): HR 108, 1B 100, 2B 112, 3B 130, K 99, BB 102 — 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 ×1.003.

Result: wOBA .348 → .263; ISO .211 → .147; BABIP .342 → .294. 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 AACorpus Christi Hooks · 425 PAwOBA .421 → .346 (−75)K% 20.9% → 26.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.94%÷0.964×1.220——26.51%
BB% (unintentional) /PA10.12%÷1.003×0.700—×0.9987.04%
HBP% /PA2.82%—×0.870—×0.9982.45%
Singles /BIP25.09%÷1.022×0.920×0.994×0.99822.39%
Doubles /BIP10.18%÷0.963×0.840×0.994×0.9988.81%
Triples /BIP1.45%÷0.900×0.940×0.994×0.9981.51%
Home runs /BIP6.55%÷1.059×0.800—×0.9984.94%

Factors used: league row TL. Park (home-season share, regressed): HR 112, 1B 104, 2B 93, 3B 80, K 93, BB 101 — 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 ×0.994.

Result: wOBA .421 → .346; ISO .247 → .199; BABIP .387 → .339. 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 AQuad Cities River Bandits · 204 PAwOBA .353 → .278 (−75)K% 19.1% → 25.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.12%÷1.004×1.360——25.91%
BB% (unintentional) /PA9.31%÷1.005×0.690—×0.9806.26%
HBP% /PA1.47%—×0.780—×0.9801.12%
Singles /BIP22.70%÷1.003×0.920×0.997×0.98020.35%
Doubles /BIP10.64%÷0.999×0.830×0.997×0.9808.64%
Triples /BIP0.71%÷1.013×0.910×0.997×0.9800.62%
Home runs /BIP2.84%÷1.084×0.800—×0.9802.05%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 117, 1B 101, 2B 100, 3B 103, K 101, BB 101 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.997.

Result: wOBA .353 → .278; ISO .161 → .121; BABIP .350 → .302. 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+Lancaster JetHawks · 159 PAwOBA .385 → .293 (−92)K% 20.8% → 29.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.75%÷0.948×1.340——29.35%
BB% (unintentional) /PA2.52%÷0.987×0.710—×0.9881.79%
HBP% /PA0.63%—×0.790—×0.9880.49%
Singles /BIP18.33%÷0.999×0.910×1.050×0.98817.32%
Doubles /BIP8.33%÷0.963×0.820×1.050×0.9887.36%
Triples /BIP0.83%÷0.915×0.760×1.050×0.9880.72%
Home runs /BIP10.00%÷1.234×0.920—×0.9887.37%

Factors used: league row CAL. Park (home-season share, regressed): HR 147, 1B 100, 2B 93, 3B 83, K 90, BB 97 — 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 ×1.050.

Result: wOBA .385 → .293; ISO .314 → .220; BABIP .303 → .271. 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 — .