Matt Carson

PosRF
B/TR/R
Born1981-07-01
Age (2027)46
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2015
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201332AAACLE490.252/.324/.394141459—.215/.266/.322
201433AAACLE311.259/.339/.423101157—.199/.254/.322
201534AAAMIL194.199/.296/.3073435—.169/.243/.262
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)
200524 AATrenton Thunder — 10399 19501 0252 23 192208273481 81247 240 211 7 — — — — — —
200524 A+Tampa Yankees — 364321 811438 31688 102 252333389723 137293 199 323 63 — — — — — —
200625 AATrenton Thunder — 9786 22812 4252 00 256304442746 186339 264 312 67 — — — — — —
200625 A+Tampa Yankees — 165136 33418 21312 53 243352463815 221250 1913 349 81 — — — — — —
200726 AATrenton Thunder — 521471 11724316 331099 90 248310414724 166287 216 318 65 — — — — — —
200827 AAAScranton/Wilkes-Barre Yankees — 339305 8810610 21638 103 289350459809 170332 196 354 94 — — — — — —
200827 AATrenton Thunder — 122112 31745 9200 11 277331545875 268299 167 375 95 — — — — — —
200928 MLBOakland Athletics — 2221 6001 070 00 286286429714 143357 320 300 89 -0 +0 -0 -6 +0 -0.6
200928 AAASacramento River Cats — 493440 11629325 38946 154 264331514844 250279 198 362 80 — — — — — —
201029 MLBOakland Athletics — 8379 14204 2230 40 177198354552 177185 282 235 52 -5 +1 +0 -4 +2 -0.6
201029 AAASacramento River Cats — 276244 7418213 24586 134 303380553933 250349 219 405 104 — — — — — —
201130 AAADurham Bulls — 495452 12641124 361135 111 279339533872 254322 237 378 96 — — — — — —
201130 INTLEstrellas de Oriente — 3026 3200 391 00 115233192426 77176 3010 210 28 — — — — — —
201231 MLBMinnesota Twins — 6966 15100 2210 00 227250242492 15326 303 222 37 -5 +0 +0 -6 +1 -0.9
201231 AAARochester Red Wings — 469422 11928214 371066 95 282348457806 175345 238 355 80 — — — — — —
201332 AAAColumbus Clippers — 490436 11016214 391197 144 252324394718 142315 248 318 59 — — — — — —
201433 AAAColumbus Clippers — 311274 7113110 27856 111 259339423762 164335 279 337 57 — — — — — —
201534 AAANashville Sounds — 194166 33903 18375 41 199296307604 108233 199 273 35 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 174166 35305 4510 40 211229319549 108263 292 238 47 -11 +1 +0 -15 +4 -2.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200524 AA MLETrenton Thunder — 10399 17401 0302 23 172188242431 71230 290 179 7 — — — — — —
200524 A+ MLETampa Yankees — 364329 681227 23968 102 207275319594 112260 266 261 63 — — — — — —
200625 AA MLETrenton Thunder — 9787 21712 3302 00 241283414696 172308 313 267 67 — — — — — —
200625 A+ MLETampa Yankees — 165142 29417 15442 53 204289394684 190218 279 288 81 — — — — — —
200726 AA MLETrenton Thunder — 521481 10520312 231339 90 218267347614 129264 264 265 65 — — — — — —
200827 AAA MLEScranton/Wilkes-Barre Yankees — 339313 80868 13768 103 256302396699 141305 224 307 94 — — — — — —
200827 AA MLETrenton Thunder — 122116 28644 5240 11 241273466738 224273 204 309 95 — — — — — —
200928 MLB MLEOakland Athletics — 2221 6001 070 00 286286429714 143357 320 300 89 -0 +0 -0 -6 +0 -0.6
200928 AAA MLESacramento River Cats — 493452 9723219 261216 154 215267400667 186240 255 286 80 — — — — — —
201029 MLB MLEOakland Athletics — 8379 14204 2230 40 177198354552 177185 282 245 52 -5 +1 +0 -4 +2 -0.6
201029 AAA MLESacramento River Cats — 276253 6215210 15726 134 245303439742 194298 265 322 104 — — — — — —
201130 AAA MLEDurham Bulls — 495462 10933120 261295 111 236284442726 206281 265 310 96 — — — — — —
201231 MLB MLEMinnesota Twins — 6966 15100 2210 00 227250242492 15326 303 222 37 -5 +0 +0 -6 +1 -0.9
201231 AAA MLERochester Red Wings — 469436 10225211 231216 95 234282376658 142293 265 286 80 — — — — — —
201332 AAA MLEColumbus Clippers — 490451 9714210 241417 144 215266322587 106277 295 255 59 — — — — — —
201433 AAA MLEColumbus Clippers — 311286 57918 151006 111 199254322576 122266 325 253 57 — — — — — —
201534 AAA MLENashville Sounds — 194172 29703 12465 41 169243262505 93197 246 220 35 — — — — — —
200524 A+ MLE2 teams — 467428 841627 2312710 125 196254292546 96258 275 243 51 — — — — — —
200524 A+ RAW2 teams — 467420 1001939 319310 125 238306362668 124283 207 298 51 — — — — — —
200625 A+ MLE2 teams — 262230 491128 17754 53 213279383661 170273 296 280 76 — — — — — —
200625 A+ RAW2 teams — 262222 5512210 25564 53 248335455790 207283 2110 335 76 — — — — — —
200726 AA MLETrenton Thunder — 521481 10520312 231339 90 218267347614 129272 264 265 65 — — — — — —
200726 AA RAWTrenton Thunder — 521471 11724316 331099 90 248310414724 166287 216 318 65 — — — — — —
200827 AAA MLE2 teams — 461429 109141012 181008 114 254297417714 163303 224 308 94 — — — — — —
200827 AAA RAW2 teams — 461417 119171015 30838 114 285345482827 197323 187 359 94 — — — — — —
200928 AAA MLE2 teams — 515473 10323220 261286 154 218267402669 184251 255 287 80 — — — — — —
200928 AAA RAW2 teams — 515461 12229326 381016 154 265329510838 245282 207 359 80 — — — — — —
201029 AAA MLE2 teams — 359332 7717215 17956 174 232282431712 199274 265 304 92 — — — — — —
201029 AAA RAW2 teams — 359323 8820217 26816 174 272338505843 232310 237 365 92 — — — — — —
201130 AAA MLE2 teams — 525490 11635121 271376 111 237285441726 204284 265 310 96 — — — — — —
201130 AAA RAW2 teams — 525478 12943124 391226 111 270333515847 245314 237 369 96 — — — — — —
201231 AAA MLE2 teams — 538502 11726211 251426 95 233278359636 125301 265 278 74 — — — — — —
201231 AAA RAW2 teams — 538488 13429214 391276 95 275336428764 154343 247 338 74 — — — — — —
201332 AAA MLEColumbus Clippers — 490451 9714210 241417 144 215266322587 106288 295 255 59 — — — — — —
201332 AAA RAWColumbus Clippers — 490436 11016214 391197 144 252324394718 142315 248 318 59 — — — — — —
201433 AAA MLEColumbus Clippers — 311286 57918 151006 111 199254322576 122271 325 253 57 — — — — — —
201433 AAA RAWColumbus Clippers — 311274 7113110 27856 111 259339423762 164335 279 337 57 — — — — — —
201534 AAA MLENashville Sounds — 194172 29703 12465 41 169243262505 93206 246 220 35 — — — — — —
201534 AAA RAWNashville Sounds — 194166 33903 18375 41 199296307604 108233 199 273 35 — — — — — —
200524 A+ MLE2 teams — 467431 841627 2312710 125 195254290544 95253 275 243 51 — — — — — —
200625 A+ MLE2 teams — 262239 491128 17754 53 205279368647 163251 296 280 76 — — — — — —
200726 AA MLETrenton Thunder — 521484 10520312 231339 90 217267345612 128264 264 265 65 — — — — — —
200827 AAA MLE2 teams — 461432 109141012 181008 114 252297414711 162297 224 308 94 — — — — — —
200928 AAA MLE2 teams — 515478 10323220 261286 154 215267397665 182245 255 287 80 — — — — — —
201029 AAA MLE2 teams — 359333 7717215 17956 174 231282429711 198272 265 304 92 — — — — — —
201130 AAA MLE2 teams — 525487 11635121 271376 111 238285444728 205281 265 310 96 — — — — — —
201231 AAA MLE2 teams — 538502 11726211 251426 95 233278359636 125297 265 278 74 — — — — — —
201332 AAA MLEColumbus Clippers — 490456 9714210 241417 144 213266318584 105277 295 255 59 — — — — — —
201433 AAA MLEColumbus Clippers — 311287 57918 151006 111 199254321575 122266 325 253 57 — — — — — —
201534 AAA MLENashville Sounds — 194175 29703 12465 41 166243257501 91197 246 220 35 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 174166 35305 4510 40 211229319549 108263 292 238 73 -11 +1 +0 -15 +4 -2.1
/ 162G— A+C — 650620 13111019 151910 150 211230321551 110264 292 238 73 -41 +3 +2 -57 +14 -8.0
Career— MLE — 46434274 94319227127 227122473 11832 221272367639 147275 265 276 73 -11 +1 +0 -15 +4 -2.1
/ 162G— MLE — 650598 13327418 3217110 174 222273371644 149278 265 276 73 -41 +3 +2 -57 +14 -8.0

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.

2015 AAANashville Sounds · 194 PAwOBA .271 → .220 (−51)K% 19.1% → 23.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.07%÷1.034×1.290——23.78%
BB% (unintentional) /PA9.28%÷1.018×0.710—×0.9406.08%
HBP% /PA2.58%—×0.980—×0.9402.37%
Singles /BIP16.28%÷0.953×0.900×1.014×0.94014.65%
Doubles /BIP6.98%÷1.063×0.810×1.014×0.9405.07%
Triples /BIP0.00%÷0.952×0.810×1.014×0.9400.00%
Home runs /BIP2.33%÷0.843×0.780—×0.9402.02%

Factors used: league row PCL. Park (home-season share, regressed): HR 69, 1B 91, 2B 113, 3B 90, K 107, BB 104 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.014.

Result: wOBA .271 → .220; ISO .108 → .088; BABIP .233 → .197. 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 AAAColumbus Clippers · 311 PAwOBA .328 → .253 (−75)K% 27.3% → 32.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.33%÷1.016×1.200——32.27%
BB% (unintentional) /PA7.72%÷1.015×0.690—×0.9424.94%
HBP% /PA1.93%—×0.940—×0.9421.71%
Singles /BIP24.87%÷1.034×0.930×0.970×0.94220.45%
Doubles /BIP6.88%÷1.047×0.830×0.970×0.9424.99%
Triples /BIP0.53%÷1.007×0.970×0.970×0.9420.47%
Home runs /BIP5.29%÷1.028×0.840—×0.9424.07%

Factors used: league row IL. Park (home-season share, regressed): HR 106, 1B 107, 2B 109, 3B 102, K 103, BB 103 — 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 ×0.970.

Result: wOBA .328 → .253; ISO .164 → .126; BABIP .335 → .266. 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 AAAColumbus Clippers · 490 PAwOBA .309 → .255 (−54)K% 24.3% → 28.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.29%÷1.013×1.200——28.76%
BB% (unintentional) /PA7.35%÷0.986×0.690—×0.9524.90%
HBP% /PA1.43%—×0.940—×0.9521.28%
Singles /BIP24.61%÷0.980×0.930×0.996×0.95222.13%
Doubles /BIP5.05%÷0.933×0.830×0.996×0.9524.26%
Triples /BIP0.63%÷0.900×0.970×0.996×0.9520.64%
Home runs /BIP4.42%÷1.111×0.840—×0.9523.18%

Factors used: league row IL. Park (home-season share, regressed): HR 122, 1B 96, 2B 87, 3B 80, K 103, BB 97 — 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 ×0.996.

Result: wOBA .309 → .255; ISO .142 → .110; BABIP .315 → .277. 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 AAARochester Red Wings · 469 PAwOBA .345 → .286 (−59)K% 22.6% → 25.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.60%÷1.051×1.200——25.79%
BB% (unintentional) /PA7.46%÷1.023×0.690—×0.9624.84%
HBP% /PA1.28%—×0.940—×0.9621.16%
Singles /BIP23.73%÷1.052×0.930×0.996×0.96220.10%
Doubles /BIP8.86%÷0.913×0.830×0.996×0.9627.71%
Triples /BIP0.63%÷0.900×0.970×0.996×0.9620.65%
Home runs /BIP4.43%÷1.010×0.840—×0.9623.55%

Factors used: league row IL. Park (home-season share, regressed): HR 102, 1B 110, 2B 83, 3B 80, K 110, BB 105 — 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 ×0.996.

Result: wOBA .345 → .286; ISO .175 → .149; BABIP .345 → .293. 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 AAADurham Bulls · 495 PAwOBA .369 → .310 (−59)K% 22.8% → 26.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.83%÷1.051×1.200——26.05%
BB% (unintentional) /PA7.27%÷0.938×0.690—×0.9725.20%
HBP% /PA1.01%—×0.940—×0.9720.92%
Singles /BIP17.70%÷0.969×0.930×1.000×0.97216.51%
Doubles /BIP12.09%÷0.994×0.830×1.000×0.9729.82%
Triples /BIP0.29%÷1.017×0.970×1.000×0.9720.27%
Home runs /BIP7.08%÷0.960×0.840—×0.9726.02%

Factors used: league row IL. Park (home-season share, regressed): HR 92, 1B 94, 2B 99, 3B 103, K 110, BB 88 — 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 ×1.000.

Result: wOBA .369 → .310; ISO .254 → .211; BABIP .322 → .281. 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 AAASacramento River Cats · 276 PAwOBA .395 → .322 (−74)K% 21.0% → 26.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.01%÷1.038×1.290——26.12%
BB% (unintentional) /PA8.33%÷1.067×0.710—×0.9825.44%
HBP% /PA2.17%—×0.980—×0.9822.09%
Singles /BIP22.04%÷0.998×0.900×0.988×0.98219.28%
Doubles /BIP9.68%÷0.920×0.810×0.988×0.9828.26%
Triples /BIP1.08%÷0.900×0.810×0.988×0.9820.94%
Home runs /BIP6.99%÷0.950×0.780—×0.9825.63%

Factors used: league row PCL. Park (home-season share, regressed): HR 90, 1B 100, 2B 84, 3B 80, K 108, BB 113 — 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 ×0.988.

Result: wOBA .395 → .322; ISO .250 → .203; BABIP .349 → .298. 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 AAASacramento River Cats · 493 PAwOBA .355 → .286 (−69)K% 19.1% → 24.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.07%÷1.000×1.290——24.60%
BB% (unintentional) /PA7.51%÷1.000×0.710—×0.9925.29%
HBP% /PA1.22%—×0.980—×0.9921.18%
Singles /BIP17.05%÷1.000×0.900×1.015×0.99215.45%
Doubles /BIP8.38%÷1.000×0.810×1.015×0.9926.83%
Triples /BIP0.87%÷1.000×0.810×1.015×0.9920.71%
Home runs /BIP7.23%÷1.000×0.780—×0.9925.59%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.015.

Result: wOBA .355 → .286; ISO .250 → .193; BABIP .279 → .240. 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).

2008 AAAScranton/Wilkes-Barre Yankees · 339 PAwOBA .344 → .307 (−38)K% 18.6% → 22.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.58%÷1.000×1.200——22.30%
BB% (unintentional) /PA5.31%÷1.000×0.690—×1.0033.67%
HBP% /PA2.36%—×0.940—×1.0032.22%
Singles /BIP25.62%÷1.000×0.930×1.003×1.00323.98%
Doubles /BIP4.13%÷1.000×0.830×1.003×1.0033.45%
Triples /BIP2.48%÷1.000×0.970×1.003×1.0032.42%
Home runs /BIP4.13%÷1.000×0.840—×1.0033.48%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.003.

Result: wOBA .344 → .307; ISO .170 → .150; BABIP .332 → .305. 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 — .