Jon Matthews

PosLF
B/TR/R
Born1991-04-06
Age (2027)36
No MLB projection yet. Career stats below are historical.
Overview
A+LAST SEASON 2015
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201322A/ROK2 orgs233.281/.384/.39732760—.215/.293/.297
201423A+/A2 orgs317.317/.397/.39622093—.280/.340/.350
201524A+/A/ROK2 orgs196.202/.330/.2330434—.174/.273/.203
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)
201120 ROKBillings Mustangs — 178154 36450 15366 187 234326325650 91305 208 295 31 — — — — — —
201221 ROKBillings Mustangs — 126112 20221 11312 184 179264259523 80235 259 243 -4 — — — — — —
201322 ADayton Dragons — 5245 11110 5111 51 244333311644 67324 2110 294 45 — — — — — —
201322 ROKBillings Mustangs — 181154 45533 19328 225 292398422820 130353 1810 372 64 — — — — — —
201423 A+Bakersfield Blaze — 4742 14300 4110 71 333391405796 71438 239 353 74 — — — — — —
201423 ADayton Dragons — 270236 74732 28485 139 314398394792 81387 1810 360 96 — — — — — —
201524 A+Daytona Tortugas — 10689 11300 15231 02 124257157414 34167 2214 210 5 — — — — — —
201524 ADayton Dragons — 5649 15200 651 13 306393347740 41341 911 344 74 — — — — — —
201524 ROKAZL Reds — 3425 7000 761 32 280455280735 368 1821 352 57 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201120 ROK MLEBillings Mustangs — 178160 29340 9526 187 181251250501 69253 295 214 31 — — — — — —
201221 ROK MLEBillings Mustangs — 126116 14111 7452 184 121184172356 52185 366 162 -4 — — — — — —
201322 A MLEDayton Dragons — 5247 10110 3151 51 213275277551 64284 296 235 45 — — — — — —
201322 ROK MLEBillings Mustangs — 181162 35422 11468 225 216298302601 86283 256 263 64 — — — — — —
201423 A+ MLEBakersfield Blaze — 4743 11200 3150 71 256304302607 47378 326 278 74 — — — — — —
201423 A MLEDayton Dragons — 270246 70632 18605 139 285346358703 73367 227 310 96 — — — — — —
201524 A+ MLEDaytona Tortugas — 10692 10300 12331 02 109219141360 33165 3111 176 5 — — — — — —
201524 A MLEDayton Dragons — 5651 14200 471 13 275339314653 39299 127 277 74 — — — — — —
201524 ROK MLEAZL Reds — 3428 6000 491 32 214333214548 289 2612 252 57 — — — — — —
201120 ROK MLEBillings Mustangs — 178160 29340 9526 187 181251250501 69269 295 214 31 — — — — — —
201120 ROK RAWBillings Mustangs — 178154 36450 15366 187 234326325650 91305 208 295 31 — — — — — —
201221 ROK MLEBillings Mustangs — 126116 14111 7452 184 121184172356 52183 366 162 -4 — — — — — —
201221 ROK RAWBillings Mustangs — 126112 20221 11312 184 179264259523 80235 259 243 -4 — — — — — —
201322 ROK MLE2 teams — 233208 44432 15619 276 212293288582 77290 266 257 60 — — — — — —
201322 ROK RAW2 teams — 233199 56643 24439 276 281384397781 116346 1810 355 60 — — — — — —
201423 A MLE2 teams — 317289 82932 21765 2010 284343356699 73377 247 305 93 — — — — — —
201423 A RAW2 teams — 317278 881032 32595 2010 317397396793 79394 1910 359 93 — — — — — —
201524 A+ MLE3 teams — 196172 29400 19493 47 169263192455 23236 2510 218 34 — — — — — —
201524 A+ RAW3 teams — 196163 33500 28343 47 202330233563 31256 1714 273 34 — — — — — —
201120 ROK MLEBillings Mustangs — 178161 29340 9526 187 180251248500 68253 295 214 31 — — — — — —
201221 ROK MLEBillings Mustangs — 126116 14111 7452 184 121184172356 52185 366 162 -4 — — — — — —
201322 ROK MLE2 teams — 233207 44432 15619 276 213293290583 77283 266 257 60 — — — — — —
201423 A MLE2 teams — 317288 82932 21765 2010 285343358700 73369 247 305 93 — — — — — —
201524 A+ MLE3 teams — 196172 29400 19493 47 169263192455 23225 2510 218 34 — — — — — —
▸ Career Totals
Career— MLE — 1050945 19821115 7128325 8734 210282271553 61293 277 246 52 -60 +4 +0 -11 +23 -4.5
/ 162G— MLE — 650585 1231373 4417515 5421 210282272554 62294 277 246 52 -37 +2 +0 -7 +14 -2.8

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.

2015 A+Daytona Tortugas · 106 PAwOBA .206 → .176 (−31)K% 21.7% → 31.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.70%÷0.986×1.420——31.24%
BB% (unintentional) /PA14.15%÷0.934×0.750—×0.98811.22%
HBP% /PA0.94%—×0.930—×0.9880.87%
Singles /BIP12.12%÷0.969×0.920×1.050×0.98811.94%
Doubles /BIP4.55%÷0.988×0.960×1.050×0.9884.58%
Triples /BIP0.00%÷1.150×0.810×1.050×0.9880.00%
Home runs /BIP0.00%÷1.047×0.880—×0.9880.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 109, 1B 94, 2B 98, 3B 130, K 97, BB 87 — 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 .206 → .176; ISO .034 → .031; BABIP .167 → .165. 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 ADayton Dragons · 56 PAwOBA .336 → .277 (−58)K% 8.9% → 12.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA8.93%÷0.966×1.360——12.57%
BB% (unintentional) /PA10.71%÷1.002×0.690—×0.9807.23%
HBP% /PA1.79%—×0.780—×0.9801.36%
Singles /BIP29.55%÷1.012×0.920—×0.98026.32%
Doubles /BIP4.55%÷1.037×0.830—×0.9803.57%
Triples /BIP0.00%÷1.137×0.910—×0.9800.00%
Home runs /BIP0.00%÷1.078×0.800—×0.9800.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 102, 2B 107, 3B 127, K 93, BB 100 — 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).

Result: wOBA .336 → .277; ISO .041 → .032; BABIP .341 → .299. 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 ROKAZL Reds · 34 PAwOBA .334 → .252 (−82)K% 17.6% → 25.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.65%÷1.000×1.440——25.41%
BB% (unintentional) /PA17.65%÷1.000×0.620—×0.95510.45%
HBP% /PA2.94%—×0.720—×0.9552.02%
Singles /BIP36.84%÷1.000×0.820—×0.95528.85%
Doubles /BIP0.00%÷1.000×0.720—×0.9550.00%
Triples /BIP0.00%÷1.000×0.720—×0.9550.00%
Home runs /BIP0.00%÷1.000×0.780—×0.9550.00%

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 24 vs a level average of 19.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average).

Result: wOBA .334 → .252; ISO .000 → .000; BABIP .368 → .289. 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 ADayton Dragons · 270 PAwOBA .349 → .310 (−39)K% 17.8% → 22.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.78%÷1.082×1.360——22.34%
BB% (unintentional) /PA9.63%÷0.990×0.690—×0.9906.65%
HBP% /PA1.85%—×0.780—×0.9901.43%
Singles /BIP32.98%÷1.007×0.920×1.050×0.99031.33%
Doubles /BIP3.72%÷0.940×0.830×1.050×0.9903.42%
Triples /BIP1.60%÷0.900×0.910×1.050×0.9901.68%
Home runs /BIP1.06%÷1.000×0.800—×0.9900.84%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 101, 2B 88, 3B 80, K 116, BB 98 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .349 → .310; ISO .081 → .074; BABIP .387 → .367. 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+Bakersfield Blaze · 47 PAwOBA .352 → .278 (−74)K% 23.4% → 32.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.40%÷0.961×1.340——32.65%
BB% (unintentional) /PA8.51%÷0.944×0.710—×0.9986.39%
HBP% /PA0.00%—×0.790—×0.9980.00%
Singles /BIP35.48%÷1.031×0.910—×0.99831.26%
Doubles /BIP9.68%÷1.005×0.820—×0.9987.88%
Triples /BIP0.00%÷0.900×0.760—×0.9980.00%
Home runs /BIP0.00%÷1.421×0.920—×0.9980.00%

Factors used: league row CAL. Park (home-season share, regressed): HR 184, 1B 106, 2B 101, 3B 80, K 92, BB 89 — 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).

Result: wOBA .352 → .278; ISO .071 → .054; BABIP .438 → .378. 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 ROKBillings Mustangs · 181 PAwOBA .363 → .263 (−100)K% 17.7% → 25.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.68%÷1.000×1.440——25.46%
BB% (unintentional) /PA10.50%÷1.000×0.610—×0.9756.24%
HBP% /PA4.42%—×0.720—×0.9753.10%
Singles /BIP27.87%÷1.000×0.820×1.033×0.97523.02%
Doubles /BIP4.10%÷1.000×0.720×1.033×0.9752.97%
Triples /BIP2.46%÷1.000×0.720×1.033×0.9751.78%
Home runs /BIP2.46%÷1.000×0.750—×0.9751.80%

Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.033.

Result: wOBA .363 → .263; ISO .130 → .091; BABIP .353 → .283. 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 ADayton Dragons · 52 PAwOBA .287 → .235 (−52)K% 21.2% → 28.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.15%÷1.025×1.360——28.07%
BB% (unintentional) /PA9.62%÷1.015×0.690——6.54%
HBP% /PA1.92%—×0.780——1.50%
Singles /BIP26.47%÷1.057×0.920——23.04%
Doubles /BIP2.94%÷1.004×0.830——2.43%
Triples /BIP2.94%÷0.900×0.910——2.97%
Home runs /BIP0.00%÷1.164×0.800——0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 133, 1B 111, 2B 101, 3B 80, K 105, BB 103 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average).

Result: wOBA .287 → .235; ISO .067 → .062; BABIP .324 → .284. 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 ROKBillings Mustangs · 126 PAwOBA .239 → .162 (−77)K% 24.6% → 35.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.60%÷1.000×1.440——35.43%
BB% (unintentional) /PA8.73%÷1.000×0.610—×0.9855.25%
HBP% /PA1.59%—×0.720—×0.9851.13%
Singles /BIP18.52%÷1.000×0.820×1.005×0.98515.02%
Doubles /BIP2.47%÷1.000×0.720×1.005×0.9851.76%
Triples /BIP2.47%÷1.000×0.720×1.005×0.9851.76%
Home runs /BIP1.23%÷1.000×0.750—×0.9850.91%

Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.005.

Result: wOBA .239 → .162; ISO .080 → .052; BABIP .235 → .185. 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).