Casey McGehee

Pos3B
B/TR/R
Born1982-10-12
Age (2027)44
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2016
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201431MLBMIA691.287/.358/.357441092.9
201532AAASF46.357/.400/.57120111—.302/.333/.488
201532MLBMIA258.198/.264/.2742160-0.8
201633AAADET480.317/.374/.4436681—.260/.299/.353
201633MLBDET96.228/.260/.2390045-0.0
201734No MLB games played
201835No MLB games played
201936No MLB games played
202037No MLB games played
202138No MLB games played
202239No MLB games played
202340No MLB games played
202441No MLB games played
202542No MLB games played
202643No MLB games played
Last 3 seasons WAR 2.1
Contract
No contract data on file.
Skills · percentileStatcast 2015-2016
Avg EV47
Speed26
xwOBA22
Barrel%13

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)
200522 AAWest Tenn Diamond Jaxx — 505455 1353118 43641 22 297359422781 125326 139 346 102 — — — — — —
200623 AAAIowa Cubs — 546497 13928111 41703 03 280338406745 127305 138 331 82 — — — — — —
200724 AAAIowa Cubs — 5752 9201 3101 01 173232269501 96190 185 226 17 — — — — — —
200724 AATennessee Smokies — 429384 1052629 40730 12 273342422764 148313 179 338 84 — — — — — —
200825 MLBChicago Cubs — 2524 4100 080 00 167167208375 42235 320 160 -6 -3 +0 +2 +2 +1 0.1
200825 AAAIowa Cubs — 550497 14730012 40893 03 296352429780 133333 167 343 82 — — — — — —
200926 MLBMilwaukee Brewers — 394355 10720116 34671 02 301364499863 197330 179 377 139 +18 -1 -7 +1 +9 2.1
201027 MLBMilwaukee Brewers — 670610 17438123 501022 11 285341464805 179306 157 352 123 +18 -0 -2 +2 +15 3.3
201128 MLBMilwaukee Brewers — 600546 12224213 451041 03 223284346630 123249 178 281 74 -18 -1 +9 +2 +13 0.5
201229 MLBNew York Yankees — 352318 691619 29702 11 217287358645 142248 208 288 79 -9 -0 +1 -7 +8 -0.7
201229 ACharleston RiverDogs — 2725 9300 240 00 360407480887 120429 157 395 91 — — — — — —
201431 MLBMiami Marlins — 691616 1772914 671021 42 287358357715 70335 1510 324 109 +8 +0 +3 +2 +15 2.9
201532 MLBMiami Marlins — 258237 471202 21500 11 198264274538 76243 198 248 60 -12 -0 -2 +1 +6 -0.8
201532 AAASacramento River Cats — 4642 15302 350 00 357400571971 214361 117 416 111 — — — — — —
201633 MLBDetroit Tigers — 9692 21100 3141 00 228260239500 11269 153 231 45 -6 +0 +2 +2 +2 -0.0
201633 AAAToledo Mud Hens — 480438 1393706 38732 63 317374443817 126368 158 364 81 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 30862798 721141667 2495178 710 258320384704 127291 178 314 99 -5 -3 +6 +7 +67 7.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200522 AA MLEWest Tenn Diamond Jaxx — 505471 1353117 27781 22 287327401728 115322 155 319 102 — — — — — —
200623 AAA MLEIowa Cubs — 546507 1292419 31903 03 254301359660 105289 166 289 82 — — — — — —
200724 AAA MLEIowa Cubs — 5753 9201 2131 01 170214264478 94176 234 193 17 — — — — — —
200724 AA MLETennessee Smokies — 429400 1002527 24890 12 250292375667 125295 216 293 84 — — — — — —
200825 MLB MLEChicago Cubs — 2524 4100 080 00 167167208375 42235 320 160 -6 -3 +0 +2 +2 +1 0.1
200825 AAA MLEIowa Cubs — 550508 1302509 291153 03 256300358658 102300 215 290 82 — — — — — —
200926 MLB MLEMilwaukee Brewers — 394357 10720116 32671 02 300359496855 196330 178 373 139 +18 -1 -7 +1 +9 2.1
201027 MLB MLEMilwaukee Brewers — 670615 17741122 451022 11 288338465803 177306 157 349 123 +18 -0 -2 +2 +15 3.3
201128 MLB MLEMilwaukee Brewers — 600550 12326212 411041 03 224279344622 120249 177 278 74 -18 -1 +9 +2 +13 0.5
201229 MLB MLENew York Yankees — 352318 681618 29702 11 214284346630 132248 208 286 79 -9 -0 +1 -7 +8 -0.7
201229 A MLECharleston RiverDogs — 2726 7200 160 00 269296346642 77367 224 303 91 — — — — — —
201431 MLB MLEMiami Marlins — 691619 1823214 641021 42 294361368729 74335 159 330 109 +8 +0 +3 +2 +15 2.9
201532 MLB MLEMiami Marlins — 258237 491302 21500 11 207271287558 80243 198 256 60 -12 -0 -2 +1 +6 -0.8
201532 AAA MLESacramento River Cats — 4643 13202 260 00 302333488822 186293 134 332 111 — — — — — —
201633 MLB MLEDetroit Tigers — 9692 21100 3141 00 228260239500 11269 153 234 45 -6 +0 +2 +2 +2 -0.0
201633 AAA MLEToledo Mud Hens — 480453 1182705 23872 63 260299353652 93309 185 288 81 — — — — — —
200522 AA MLEWest Tenn Diamond Jaxx — 505471 1353117 27781 22 287327401728 115327 155 319 102 — — — — — —
200522 AA RAWWest Tenn Diamond Jaxx — 505455 1353118 43641 22 297359422781 125326 139 346 102 — — — — — —
200623 AAA MLEIowa Cubs — 546507 1292419 31903 03 254301359660 105291 166 289 82 — — — — — —
200623 AAA RAWIowa Cubs — 546497 13928111 41703 03 280338406745 127305 138 331 82 — — — — — —
200724 AA MLE2 teams — 486453 1082728 261021 13 238281360641 121287 215 281 77 — — — — — —
200724 AA RAW2 teams — 486436 11428210 43831 13 261329404733 142298 179 324 77 — — — — — —
200825 AAA MLE2 teams — 575532 1342609 291233 03 252294352646 100304 215 284 79 — — — — — —
200825 AAA RAW2 teams — 575521 15131012 40973 03 290344418762 129329 177 335 79 — — — — — —
200926 MLB MLEMilwaukee Brewers — 394357 10720116 32671 02 300359496855 196327 178 373 139 +18 -1 -7 +1 +9 2.1
200926 MLB RAWMilwaukee Brewers — 394355 10720116 34671 02 301364499863 197330 179 377 139 +18 -1 -7 +1 +9 2.1
201027 MLB MLEMilwaukee Brewers — 670615 17741122 451022 11 288338465803 177311 157 349 123 +18 -0 -2 +2 +15 3.3
201027 MLB RAWMilwaukee Brewers — 670610 17438123 501022 11 285341464805 179306 157 352 123 +18 -0 -2 +2 +15 3.3
201128 MLB MLEMilwaukee Brewers — 600550 12326212 411041 03 224279344622 120251 177 278 74 -18 -1 +9 +2 +13 0.5
201128 MLB RAWMilwaukee Brewers — 600546 12224213 451041 03 223284346630 123249 178 281 74 -18 -1 +9 +2 +13 0.5
201229 MLB MLE2 teams — 379344 751818 30762 11 218285346631 128255 208 287 80 -9 -0 +1 -7 +8 -0.7
201229 MLB RAW2 teams — 379343 781919 31742 11 227295367663 140262 208 296 80 -9 -0 +1 -7 +8 -0.7
201431 MLB MLEMiami Marlins — 691619 1823214 641021 42 294361368729 74342 159 330 109 +8 +0 +3 +2 +15 2.9
201431 MLB RAWMiami Marlins — 691616 1772914 671021 42 287358357715 70335 1510 324 109 +8 +0 +3 +2 +15 2.9
201532 MLB MLE2 teams — 304280 611504 23560 11 218277314592 96258 188 268 67 -12 -0 -2 +1 +7 -0.7
201532 MLB RAW2 teams — 304279 621504 24550 11 222284319603 97262 188 274 67 -12 -0 -2 +1 +7 -0.7
201633 AAA MLE2 teams — 576545 1392805 261013 63 255293334627 79304 185 279 75 — — — — — —
201633 AAA RAW2 teams — 576530 1603806 41873 63 302355408763 106351 157 342 75 — — — — — —
200522 AA MLEWest Tenn Diamond Jaxx — 505472 1353117 27781 22 286327400727 114322 155 319 102 — — — — — —
200623 AAA MLEIowa Cubs — 546507 1292419 31903 03 254301359660 105289 166 289 82 — — — — — —
200724 AA MLE2 teams — 486456 1082728 261021 13 237281357639 121281 215 281 77 — — — — — —
200825 AAA MLE2 teams — 575538 1342609 291233 03 249294348642 99297 215 284 79 — — — — — —
200926 MLB MLEMilwaukee Brewers — 394358 10720116 32671 02 299359494853 196330 178 373 139 — — — — — —
201027 MLB MLEMilwaukee Brewers — 670618 17741122 451022 11 286338463801 176306 157 349 123 — — — — — —
201128 MLB MLEMilwaukee Brewers — 600553 12326212 411041 03 222279342620 119249 177 278 74 — — — — — —
201229 MLB MLE2 teams — 379344 751818 30762 11 218285346631 128256 208 287 80 — — — — — —
201431 MLB MLEMiami Marlins — 691621 1823214 641021 42 293361367728 74335 159 330 109 — — — — — —
201532 MLB MLE2 teams — 304278 611504 23560 11 219277317594 97251 188 268 67 — — — — — —
201633 AAA MLE2 teams — 576542 1392805 261013 63 256293336628 79302 185 279 75 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 30862798 721141667 2495178 710 258320384704 127291 178 314 92 -5 -3 +6 +7 +67 7.3
/ 162G— A+C — 650589 15230114 521092 12 258320384704 126292 178 314 92 -1 -1 +1 +1 +14 1.5
Career— MLE — 57265273 137028810104 374100118 1624 260311377688 118299 177 305 92 -5 -3 +6 +7 +67 7.3
/ 162G— MLE — 650599 15633112 421142 23 260311379690 119300 186 305 92 -1 -1 +1 +1 +14 1.5

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.

2016 AAAToledo Mud Hens · 480 PAwOBA .354 → .288 (−66)K% 15.2% → 18.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.21%÷1.009×1.200——18.08%
BB% (unintentional) /PA7.29%÷1.004×0.690—×0.9404.71%
HBP% /PA0.42%—×0.940—×0.9400.37%
Singles /BIP26.30%÷1.001×0.930×1.015×0.94023.30%
Doubles /BIP10.14%÷1.092×0.830×1.015×0.9407.35%
Triples /BIP0.00%÷1.150×0.970×1.015×0.9400.00%
Home runs /BIP1.64%÷0.899×0.840—×0.9401.44%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 100, 2B 118, 3B 130, K 102, BB 101 — 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 ×1.015.

Result: wOBA .354 → .288; ISO .126 → .098; BABIP .368 → .309. 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 AAASacramento River Cats · 46 PAwOBA .414 → .332 (−82)K% 10.9% → 13.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA10.87%÷1.047×1.290——13.39%
BB% (unintentional) /PA6.52%÷0.960×0.710—×0.9424.55%
HBP% /PA0.00%—×0.980—×0.9420.00%
Singles /BIP27.03%÷1.003×0.900—×0.94222.84%
Doubles /BIP8.11%÷1.024×0.810—×0.9426.04%
Triples /BIP0.00%÷0.925×0.810—×0.9420.00%
Home runs /BIP5.41%÷0.982×0.780—×0.9424.04%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 101, 2B 105, 3B 85, K 109, BB 92 — 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).

Result: wOBA .414 → .332; ISO .214 → .163; BABIP .361 → .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).

2012 ACharleston RiverDogs · 27 PAwOBA .385 → .303 (−82)K% 14.8% → 20.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.81%÷0.974×1.340——20.38%
BB% (unintentional) /PA7.41%÷1.032×0.660—×0.9404.45%
HBP% /PA0.00%—×0.770—×0.9400.00%
Singles /BIP28.57%÷0.954×0.920—×0.94025.89%
Doubles /BIP14.29%÷1.020×0.820—×0.94010.79%
Triples /BIP0.00%÷0.900×0.940—×0.9400.00%
Home runs /BIP0.00%÷1.142×0.820—×0.9400.00%

Factors used: league row SAL. Park (home-season share, regressed): HR 128, 1B 91, 2B 104, 3B 80, K 95, BB 106 — applied at half strength. Age: age 30 vs a level average of 22.0 → −6.0% on BB/HBP/hit rates (8.0 yr older than average).

Result: wOBA .385 → .303; ISO .120 → .088; BABIP .429 → .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).

2008 AAAIowa Cubs · 550 PAwOBA .340 → .290 (−50)K% 16.2% → 20.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.18%÷1.000×1.290——20.87%
BB% (unintentional) /PA7.27%÷1.000×0.710—×1.0185.26%
HBP% /PA0.55%—×0.980—×1.0180.54%
Singles /BIP25.74%÷1.000×0.900×1.015×1.01823.92%
Doubles /BIP7.35%÷1.000×0.810×1.015×1.0186.15%
Triples /BIP0.00%÷1.000×0.810×1.015×1.0180.00%
Home runs /BIP2.94%÷1.000×0.780—×1.0182.34%

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

Result: wOBA .340 → .290; ISO .133 → .107; BABIP .333 → .300. 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).

2007 AATennessee Smokies · 429 PAwOBA .328 → .293 (−35)K% 17.0% → 20.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.02%÷1.000×1.220——20.76%
BB% (unintentional) /PA8.16%÷1.000×0.680—×0.9985.54%
HBP% /PA0.00%—×0.840—×0.9980.00%
Singles /BIP21.86%÷1.000×0.920×1.038×0.99820.84%
Doubles /BIP8.36%÷1.000×0.910×1.038×0.9987.88%
Triples /BIP0.64%÷1.000×0.880×1.038×0.9980.59%
Home runs /BIP2.89%÷1.000×0.800—×0.9982.31%

Factors used: league row SL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.038.

Result: wOBA .328 → .293; ISO .148 → .132; BABIP .313 → .295. 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).

2007 AAAIowa Cubs · 57 PAwOBA .224 → .193 (−32)K% 17.5% → 22.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.54%÷1.000×1.290——22.63%
BB% (unintentional) /PA5.26%÷1.000×0.710—×1.0333.86%
HBP% /PA1.75%—×0.980—×1.0331.78%
Singles /BIP14.29%÷1.000×0.900×1.025×1.03313.61%
Doubles /BIP4.76%÷1.000×0.810×1.025×1.0334.08%
Triples /BIP0.00%÷1.000×0.810×1.025×1.0330.00%
Home runs /BIP2.38%÷1.000×0.780—×1.0331.92%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.025.

Result: wOBA .224 → .193; ISO .096 → .077; BABIP .190 → .176. 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).

2006 AAAIowa Cubs · 546 PAwOBA .325 → .289 (−36)K% 12.8% → 16.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.82%÷1.000×1.290——16.54%
BB% (unintentional) /PA7.51%÷1.000×0.710—×1.0485.59%
HBP% /PA0.55%—×0.980—×1.0480.56%
Singles /BIP23.19%÷1.000×0.900×1.033×1.04822.59%
Doubles /BIP6.56%÷1.000×0.810×1.033×1.0485.75%
Triples /BIP0.23%÷1.000×0.810×1.033×1.0480.21%
Home runs /BIP2.58%÷1.000×0.780—×1.0482.11%

Factors used: league row PCL. 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 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 ×1.033.

Result: wOBA .325 → .289; ISO .127 → .106; BABIP .305 → .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).

2005 AAWest Tenn Diamond Jaxx · 505 PAwOBA .338 → .319 (−19)K% 12.7% → 15.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.67%÷1.000×1.220——15.46%
BB% (unintentional) /PA7.52%÷1.000×0.680—×1.0275.25%
HBP% /PA0.20%—×0.840—×1.0270.17%
Singles /BIP24.30%÷1.000×0.920×1.050×1.02724.10%
Doubles /BIP7.93%÷1.000×0.910×1.050×1.0277.78%
Triples /BIP0.26%÷1.000×0.880×1.050×1.0270.24%
Home runs /BIP2.05%÷1.000×0.800—×1.0271.68%

Factors used: league row SL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .338 → .319; ISO .125 → .117; BABIP .326 → .322. 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).