Cameron Maybin

PosCF
B/TR/R
Born1987-04-04
Age (2027)40
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2021
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201932AAAScranton/Wilk…81.266/.412/.3911179—.217/.325/.319
201932MLBNYY269.285/.364/.4941191391.3
202033MLBCHC101.247/.307/.3871393-0.0
202134AAANYM92.145/.228/.21711-11—.105/.163/.163
202134MLBNYM33.036/.182/.03601-22-0.4
202235No MLB games played
202336No MLB games played
202437No MLB games played
202538No MLB games played
202639No MLB games played
Last 3 seasons WAR 0.9
Contract
No contract data on file.
Skills · percentileStatcast 2019-2021
Speed90
xwOBA57
Barrel%51
Avg EV47

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)
200619 AWest Michigan Whitecaps — 445385 1172069 501165 277 304391457848 153408 2611 375 99 — — — — — —
200720 MLBDetroit Tigers — 5349 7301 3211 50 143208265473 122222 406 217 33 -4 +1 -2 -5 +1 -0.8
200720 AAErie SeaWolves — 2620 8104 660 00 4005381.0501.588 650400 2323 635 241 — — — — — —
200720 A+Lakeland Flying Tigers — 350296 9014510 43834 256 304399486886 182383 2412 386 111 — — — — — —
200821 MLBFlorida Marlins — 3632 16200 380 40 5005435621.105 62667 228 481 212 +5 +1 +3 +2 +1 1.1
200821 AACarolina Mudcats — 459390 10815813 601243 217 277377456834 179371 2713 367 104 — — — — — —
200922 MLBFlorida Marlins — 199176 441224 17511 13 250320409729 159328 269 317 98 -0 -1 +5 +2 +4 1.0
200922 AAANew Orleans Zephyrs — 343298 951883 38583 82 319401463864 144385 1711 381 113 — — — — — —
201023 MLBFlorida Marlins — 322291 68738 24925 92 234303361664 127312 297 299 93 -3 +1 -2 +2 +7 0.5
201023 AAANew Orleans Zephyrs — 148130 44624 13242 51 338404508912 169392 169 397 132 — — — — — —
201124 MLBSan Diego Padres — 568516 1362489 441252 408 264324393717 130331 228 318 103 +2 +5 +10 +2 +12 3.2
201225 MLBSan Diego Padres — 561507 1232058 441104 267 243308349657 107293 208 295 88 -8 +2 +3 +2 +12 1.2
201326 MLBSan Diego Padres — 5751 8101 491 41 157232235467 78171 167 216 25 -5 +0 -1 +0 +1 -0.4
201326 AAATucson Padres — 5646 12104 1090 11 261393543936 283242 1618 409 107 — — — — — —
201427 MLBSan Diego Padres — 272251 591341 19561 43 235292331622 96297 217 281 76 -8 -0 +2 +1 +6 0.1
201427 AAAEl Paso Chihuahuas — 6153 14211 6100 10 264339396735 132295 1610 320 70 — — — — — —
201427 INTLToros del Este — 3834 11300 4100 10 324395412807 88458 2611 365 133 — — — — — —
201528 MLBAtlanta Braves — 555505 13518210 451021 236 267328370699 103316 188 314 98 -1 +2 -2 +2 +12 1.4
201629 MLBDetroit Tigers — 391349 1101454 36693 156 315384418802 103383 189 359 132 +15 +1 -5 +2 +8 2.1
201629 AAAToledo Mud Hens — 10085 16902 14171 41 188310365675 176212 1714 307 42 — — — — — —
201629 A+Lakeland Flying Tigers — 1513 3200 220 10 231333385718 154273 1313 325 60 — — — — — —
201730 MLBHouston Astros — 450395 9020210 51942 338 228319365684 137274 2111 309 93 -4 +3 +1 +2 +10 1.3
201831 MLBSeattle Mariners — 384342 851424 38752 105 249327336663 88306 2010 303 92 -4 +0 +0 +1 +8 0.6
201932 MLBNew York Yankees — 269239 6817011 30720 96 285364494858 209365 2711 379 139 +13 -1 -1 -4 +6 1.3
201932 AAAScranton/Wilkes-Barre RailRiders — 8164 17501 14222 12 266412391803 125381 2717 367 79 — — — — — —
202033 MLBChicago Cubs — 10193 23811 7251 30 247307387694 140328 257 310 93 -1 +1 -1 -1 +2 -0.0
202134 MLBNew York Mets — 3328 1000 3122 10 3618236218 62 369 135 -22 -5 +0 -0 +0 +1 -0.4
202134 AAASyracuse Mets — 9283 12301 9280 10 145228217445 72204 3010 211 -11 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 42513824 9731733472 36892126 18755 254324374698 120317 229 313 98 -10 +15 +11 +9 +92 12.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200619 A MLEWest Michigan Whitecaps — 445401 1071767 341585 277 267332392723 125401 368 315 99 — — — — — —
200720 MLB MLEDetroit Tigers — 5349 7301 3211 50 143208265473 122222 406 217 33 -4 +1 -2 -5 +1 -0.8
200720 AA MLEErie SeaWolves — 2622 7103 470 00 3184237731.196 455369 2715 524 241 — — — — — —
200720 A+ MLELakeland Flying Tigers — 350305 801348 341184 256 262344410754 148378 3410 332 111 — — — — — —
200821 MLB MLEFlorida Marlins — 3632 16200 380 40 5005435621.105 62667 228 481 212 +5 +1 +3 +2 +1 1.1
200821 AA MLECarolina Mudcats — 459408 10615811 421513 217 260333417750 157371 339 322 104 — — — — — —
200922 MLB MLEFlorida Marlins — 199177 441224 16511 13 249314407721 158328 268 314 98 -0 -1 +5 +2 +4 1.0
200922 AAA MLENew Orleans Zephyrs — 343308 901672 28753 82 292357409766 117370 228 335 113 — — — — — —
201023 MLB MLEFlorida Marlins — 322292 70838 23925 92 240306370676 130312 297 305 93 -3 +1 -2 +2 +7 0.5
201023 AAA MLENew Orleans Zephyrs — 148134 44624 10292 51 328384493876 164381 207 364 132 — — — — — —
201124 MLB MLESan Diego Padres — 568518 1392689 421252 408 268326402727 133331 227 320 103 +2 +5 +10 +2 +12 3.2
201225 MLB MLESan Diego Padres — 561508 1252158 431104 267 246310354664 108293 208 298 88 -8 +2 +3 +2 +12 1.2
201326 MLB MLESan Diego Padres — 5752 8101 391 41 154214231445 77171 165 205 25 -5 +0 -1 +0 +1 -0.4
201326 AAA MLETucson Padres — 5649 10103 7120 11 204304408712 204213 2112 327 107 — — — — — —
201427 MLB MLESan Diego Padres — 272253 601441 17561 43 237288336624 99297 216 281 76 -8 -0 +2 +1 +6 0.1
201427 AAA MLEEl Paso Chihuahuas — 6155 13211 4130 10 236288364652 127260 217 272 70 — — — — — —
201528 MLB MLEAtlanta Braves — 555506 13517211 441021 236 267327374700 107316 188 314 98 -1 +2 -2 +2 +12 1.4
201629 MLB MLEDetroit Tigers — 391349 1111454 36693 156 318387421808 103383 189 364 132 +15 +1 -5 +2 +8 2.1
201629 AAA MLEToledo Mud Hens — 10090 13702 10201 41 144240289529 144165 2010 231 42 — — — — — —
201629 A+ MLELakeland Flying Tigers — 1514 3200 130 10 214267357624 143239 207 257 60 — — — — — —
201730 MLB MLEHouston Astros — 450396 8919210 50942 338 225315359673 134274 2111 305 93 -4 +3 +1 +2 +10 1.3
201831 MLB MLESeattle Mariners — 384343 851424 37752 105 248325335660 87306 2010 303 92 -4 +0 +0 +1 +8 0.6
201932 MLB MLENew York Yankees — 269239 6717010 30720 96 280361477838 197365 2711 374 139 +13 -1 -1 -4 +6 1.3
201932 AAA MLEScranton/Wilkes-Barre RailRiders — 8169 15401 9262 12 217325319644 101319 3211 285 79 — — — — — —
202033 MLB MLEChicago Cubs — 10193 23811 7251 30 247307387694 140328 257 306 93 -1 +1 -1 -1 +2 -0.0
202134 MLB MLENew York Mets — 3328 1000 3122 10 3618236218 62 369 136 -22 -5 +0 -0 +0 +1 -0.4
202134 AAA MLESyracuse Mets — 9286 9201 6350 10 105163163326 58177 387 152 -11 — — — — — —
200619 A MLEWest Michigan Whitecaps — 445401 1071767 341585 277 267332392723 125415 368 315 99 — — — — — —
200619 A RAWWest Michigan Whitecaps — 445385 1172069 501165 277 304391457848 153408 2611 375 99 — — — — — —
200720 A+ MLE3 teams — 429376 9517413 411465 306 253334423757 170368 3410 329 109 — — — — — —
200720 A+ RAW3 teams — 429365 10518515 521105 306 288384488872 200366 2612 380 109 — — — — — —
200821 AA MLE2 teams — 495440 12217811 451593 257 277348427776 150407 329 334 112 — — — — — —
200821 AA RAW2 teams — 495422 12417813 631323 257 294389464854 171396 2713 375 112 — — — — — —
200922 AAA MLE2 teams — 542485 1342896 441264 95 276341408750 132360 238 327 108 — — — — — —
200922 AAA RAW2 teams — 542474 13930107 551094 95 293371443815 150366 2010 358 108 — — — — — —
201023 MLB MLE2 teams — 470426 11213512 331217 143 263326401728 138340 267 324 105 +3 +2 -2 +2 +10 1.5
201023 MLB RAW2 teams — 470421 11213512 371167 143 266335406741 140340 258 330 105 +3 +2 -2 +2 +10 1.5
201124 MLB MLESan Diego Padres — 568518 1392689 421252 408 268326402727 133337 227 320 103 +2 +5 +10 +2 +12 3.2
201124 MLB RAWSan Diego Padres — 568516 1362489 441252 408 264324393717 130331 228 318 103 +2 +5 +10 +2 +12 3.2
201225 MLB MLESan Diego Padres — 561508 1252158 431104 267 246310354664 108298 208 298 88 -8 +2 +3 +2 +12 1.2
201225 MLB RAWSan Diego Padres — 561507 1232058 441104 267 243308349657 107293 208 295 88 -8 +2 +3 +2 +12 1.2
201326 MLB MLE2 teams — 113101 18204 10211 52 178259317576 139184 199 266 66 -5 +0 -1 +0 +2 -0.3
201326 MLB RAW2 teams — 11397 20205 14181 52 206312381694 175203 1612 312 66 -5 +0 -1 +0 +2 -0.3
201427 MLB MLE3 teams — 371343 801752 24771 63 233285329615 96292 216 279 75 -11 +0 +2 +1 +8 0.1
201427 MLB RAW3 teams — 371338 841852 29761 63 249310349659 101312 208 296 75 -11 +0 +2 +1 +8 0.1
201528 MLB MLEAtlanta Braves — 555506 13517211 441021 236 267327374700 107313 188 314 98 -1 +2 -2 +2 +12 1.4
201528 MLB RAWAtlanta Braves — 555505 13518210 451021 236 267328370699 103316 188 314 98 -1 +2 -2 +2 +12 1.4
201629 MLB MLE3 teams — 506452 1272356 47924 207 281354394748 113341 189 335 113 +8 +1 -5 +2 +11 1.7
201629 MLB RAW3 teams — 506447 1292556 52884 207 289368407775 119347 1710 348 113 +8 +1 -5 +2 +11 1.7
201730 MLB MLEHouston Astros — 450396 8919210 50942 338 225315359673 134270 2111 305 93 -4 +3 +1 +2 +10 1.3
201730 MLB RAWHouston Astros — 450395 9020210 51942 338 228319365684 137274 2111 309 93 -4 +3 +1 +2 +10 1.3
201831 MLB MLESeattle Mariners — 384343 851424 37752 105 248325335660 87305 2010 303 92 -4 +0 +0 +1 +8 0.6
201831 MLB RAWSeattle Mariners — 384342 851424 38752 105 249327336663 88306 2010 303 92 -4 +0 +0 +1 +8 0.6
201932 MLB MLE2 teams — 350308 8221011 39982 108 266352442794 175355 2811 354 125 +11 -1 -1 -4 +8 1.2
201932 MLB RAW2 teams — 350303 8522012 44942 108 281375472847 191369 2713 376 125 +11 -1 -1 -4 +8 1.2
202033 MLB MLEChicago Cubs — 10193 23811 7251 30 247307387694 140328 257 306 93 -1 +1 -1 -1 +2 -0.0
202033 MLB RAWChicago Cubs — 10193 23811 7251 30 247307387694 140328 257 310 93 -1 +1 -1 -1 +2 -0.0
202134 AAA MLE2 teams — 125114 11201 9472 20 96176140316 44152 387 148 -14 — — — — — —
202134 AAA RAW2 teams — 125111 13301 12402 20 117216171387 54171 3210 191 -14 — — — — — —
200619 A MLEWest Michigan Whitecaps — 445403 1071767 341585 277 266332390721 124401 368 315 99 — — — — — —
200720 A+ MLE3 teams — 429380 9517413 411465 306 250334418753 168358 3410 329 109 — — — — — —
200821 AA MLE2 teams — 495444 12217811 451593 257 275348423772 149393 329 334 112 — — — — — —
200922 AAA MLE2 teams — 542489 1342896 441264 95 274341405746 131355 238 327 108 — — — — — —
201023 MLB MLE2 teams — 470427 11213512 331217 143 262326400727 138334 267 324 105 — — — — — —
201124 MLB MLESan Diego Padres — 568519 1392689 421252 408 268326401726 133331 227 320 103 — — — — — —
201225 MLB MLESan Diego Padres — 561509 1252158 431104 267 246310354664 108293 208 298 88 — — — — — —
201326 MLB MLE2 teams — 113101 18204 10211 52 178259317576 139192 199 266 66 — — — — — —
201427 MLB MLE3 teams — 371343 801752 24771 63 233285329615 96291 216 279 75 — — — — — —
201528 MLB MLEAtlanta Braves — 555505 13517211 441021 236 267327374701 107316 188 314 98 — — — — — —
201629 MLB MLE3 teams — 506450 1272356 47924 207 282354396749 113335 189 335 113 — — — — — —
201730 MLB MLEHouston Astros — 450395 8919210 50942 338 225315359674 134274 2111 305 93 — — — — — —
201831 MLB MLESeattle Mariners — 384342 851424 37752 105 249325336661 88306 2010 303 92 — — — — — —
201932 MLB MLE2 teams — 350306 8221011 39982 108 268352444797 176355 2811 354 125 — — — — — —
202033 MLB MLEChicago Cubs — 10192 23811 7251 30 250307391698 141328 257 306 93 — — — — — —
202134 AAA MLE2 teams — 125113 11201 9472 20 97176142318 44147 387 148 -14 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 42513824 9731733472 36892126 18755 254324374698 120317 229 313 99 -10 +15 +11 +9 +92 12.0
/ 162G— A+C — 650585 14826511 561414 298 253322371693 118315 229 313 99 -2 +2 +2 +1 +14 1.8
Career— MLE — 64655810 148426262116 549157646 28382 255325382706 126329 248 314 99 -10 +15 +11 +9 +92 12.0
/ 162G— MLE — 650584 14926612 551585 288 255325382706 127329 248 314 99 -2 +2 +2 +1 +14 1.8

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.

2021 AAASyracuse Mets · 92 PAwOBA .206 → .152 (−54)K% 30.4% → 37.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA30.43%÷0.966×1.200——37.81%
BB% (unintentional) /PA9.78%÷1.006×0.690—×0.9406.30%
HBP% /PA0.00%—×0.940—×0.9400.00%
Singles /BIP14.55%÷1.032×0.930×1.025×0.94012.62%
Doubles /BIP5.45%÷0.897×0.830×1.025×0.9404.86%
Triples /BIP0.00%÷0.986×0.920×1.025×0.9400.00%
Home runs /BIP1.82%÷1.039×0.700—×0.9401.15%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 106, 2B 79, 3B 97, K 93, 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 ×1.025.

Result: wOBA .206 → .152; ISO .072 → .052; BABIP .204 → .177. 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).

2019 AAAScranton/Wilkes-Barre RailRiders · 81 PAwOBA .363 → .285 (−77)K% 27.2% → 32.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.16%÷1.007×1.200——32.37%
BB% (unintentional) /PA17.28%÷1.066×0.690—×0.95210.65%
HBP% /PA2.47%—×0.940—×0.9522.21%
Singles /BIP26.19%÷1.019×0.930—×0.95222.75%
Doubles /BIP11.90%÷1.009×0.830—×0.9529.32%
Triples /BIP0.00%÷0.938×0.970—×0.9520.00%
Home runs /BIP2.38%÷1.087×0.840—×0.9521.75%

Factors used: league row IL. Park (home-season share, regressed): HR 117, 1B 104, 2B 102, 3B 88, K 101, BB 113 — 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).

Result: wOBA .363 → .285; ISO .125 → .101; BABIP .381 → .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).

2016 AAAToledo Mud Hens · 100 PAwOBA .300 → .231 (−69)K% 17.0% → 20.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.00%÷1.009×1.200——20.21%
BB% (unintentional) /PA14.00%÷1.004×0.690—×0.9829.45%
HBP% /PA1.00%—×0.940—×0.9820.92%
Singles /BIP7.35%÷1.001×0.930×0.965×0.9826.47%
Doubles /BIP13.24%÷1.092×0.830×0.965×0.9829.53%
Triples /BIP0.00%÷1.150×0.970×0.965×0.9820.00%
Home runs /BIP2.94%÷0.899×0.840—×0.9822.70%

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 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 ×0.965.

Result: wOBA .300 → .231; ISO .176 → .144; BABIP .212 → .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).

2016 A+Lakeland Flying Tigers · 15 PAwOBA .317 → .257 (−60)K% 13.3% → 18.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.33%÷1.011×1.420——18.72%
BB% (unintentional) /PA13.33%÷1.026×0.750—×0.9409.16%
HBP% /PA0.00%—×0.930—×0.9400.00%
Singles /BIP9.09%÷0.995×0.920—×0.9407.90%
Doubles /BIP18.18%÷1.029×0.960—×0.94015.95%
Triples /BIP0.00%÷1.145×0.810—×0.9400.00%
Home runs /BIP0.00%÷1.161×0.880—×0.9400.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 132, 1B 99, 2B 106, 3B 129, K 102, BB 105 — applied at half strength. Age: age 29 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (6.2 yr older than average).

Result: wOBA .317 → .257; ISO .154 → .133; BABIP .273 → .239. 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 AAAEl Paso Chihuahuas · 61 PAwOBA .322 → .272 (−50)K% 16.4% → 21.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.39%÷1.002×1.290——21.11%
BB% (unintentional) /PA9.84%÷0.970×0.710—×1.0037.22%
HBP% /PA0.00%—×0.980—×1.0030.00%
Singles /BIP23.26%÷1.018×0.900×1.035×1.00321.34%
Doubles /BIP4.65%÷1.068×0.810×1.035×1.0033.66%
Triples /BIP2.33%÷1.150×0.810×1.035×1.0031.70%
Home runs /BIP2.33%÷0.958×0.780—×1.0031.90%

Factors used: league row PCL. Park (home-season share, regressed): HR 92, 1B 104, 2B 114, 3B 130, K 100, BB 94 — 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 ×1.035.

Result: wOBA .322 → .272; ISO .132 → .105; BABIP .295 → .260. 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 AAATucson Padres · 56 PAwOBA .399 → .327 (−72)K% 16.1% → 22.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.07%÷0.933×1.290——22.22%
BB% (unintentional) /PA17.86%÷1.045×0.710—×1.01812.35%
HBP% /PA0.00%—×0.980—×1.0180.00%
Singles /BIP18.92%÷1.023×0.900—×1.01816.94%
Doubles /BIP2.70%÷0.963×0.810—×1.0182.31%
Triples /BIP0.00%÷1.150×0.810—×1.0180.00%
Home runs /BIP10.81%÷0.901×0.780—×1.0189.53%

Factors used: league row PCL. Park (home-season share, regressed): HR 80, 1B 105, 2B 93, 3B 130, K 87, BB 109 — 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).

Result: wOBA .399 → .327; ISO .283 → .246; BABIP .242 → .213. 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 AAANew Orleans Zephyrs · 148 PAwOBA .384 → .364 (−21)K% 16.2% → 19.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.22%÷1.056×1.290——19.81%
BB% (unintentional) /PA8.11%÷0.887×0.710—×1.0506.81%
HBP% /PA1.35%—×0.980—×1.0501.39%
Singles /BIP30.19%÷1.007×0.900×1.050×1.05029.74%
Doubles /BIP5.66%÷0.963×0.810×1.050×1.0505.25%
Triples /BIP1.89%÷0.900×0.810×1.050×1.0501.87%
Home runs /BIP3.77%÷0.939×0.780—×1.0503.29%

Factors used: league row PCL. Park (home-season share, regressed): HR 88, 1B 101, 2B 93, 3B 80, K 111, BB 77 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .384 → .364; ISO .169 → .155; BABIP .392 → .381. 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 AAANew Orleans Zephyrs · 343 PAwOBA .374 → .335 (−39)K% 16.9% → 21.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.91%÷1.000×1.290——21.81%
BB% (unintentional) /PA11.08%÷1.000×0.710—×1.0508.26%
HBP% /PA0.87%—×0.980—×1.0500.90%
Singles /BIP27.50%÷1.000×0.900×1.050×1.05027.29%
Doubles /BIP7.50%÷1.000×0.810×1.050×1.0506.70%
Triples /BIP3.33%÷1.000×0.810×1.050×1.0502.98%
Home runs /BIP1.25%÷1.000×0.780—×1.0501.02%

Factors used: league row PCL. 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 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .374 → .335; ISO .144 → .125; BABIP .385 → .370. 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 — .