Alex Call

LF Los Angeles Dodgers
Age 32 R/R 5'11" / 189 lbs MLB HR +8%BB -8% Svc 3.936 · Ctrl thru 2029
Overview
MLB40-MANArb-1FA 2030
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202429AAAWSH312.222/.366/.413111364—.175/.282/.312
202429MLBWSH113.343/.425/.525351700.7
202530MLBLAD322.267/.365/.385521170.7
202631MLBLAD195.233/.352/.307111000.2
2027PROJ32MLBLAD192.224/.330/.33833960.1
2028PROJ82% MLB33MLBLAD138.216/.320/.3182188-0.4
Last 3 seasons WAR 1.6  ·  Next 2 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2029Service3.936First FA2030
2027Arb-1$0.6M2028Arb-2$0.6M2029Ext$2M
Skills · percentileStatcast 2024-2026
Speed58
xwOBA49
Bat Spd27
Avg EV19
Barrel%16
Form.224/.329/.334 · rolling true talent (60d window) · proj .228/.331/.343
CompsRaul Gonzalez (age 31) · Eric Campbell (age 32) · Cole Gillespie (age 32)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†vL 9896vR 88
AVG/OBP/SLG.224 / .330 / .338
PA192
HR3
K%19
BB%11
BABIP267
ISO110
MLB%100%
Value2027 · WAR
BAT: -1.0 runs (wOBA-derived runs vs avg)-1BATRUN: +0.4 runs (SB/CS + UBR baserunning)+0RUNFLD: -0.7 runs (Defensive runs vs avg)-1FLDPOS: -2.1 runs (Positional adjustment)-2POSREP: +4.2 runs (Replacement-level credit)+4REPTotal WAR: +0.30+0.3WAR
0.00.51.00.30.027282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit+$1M ctrl surplus
Tools · Recent Form · Splits · ContractCON 50 / POW 40
Toolsscout grade · Statcast %ile · 2024-2026
CONTACT50
xAVG
240.230
POWER40
Barrel%
163.9
Avg EV
1986.7
Bat Spd
2768.9
EYE60
scouting grade only
SPEED55
Sprint
5827.8
Recent Formrolling true talent ⓘ
K%19%·19% over 32 PA (60d) · proj 19%
BB%12%·12% over 32 PA (60d) · proj 11%
ISO.110·.077 over 26 AB (60d) · proj .115
BABIP.270·.150 over 20 BIP (60d) · proj .273
SLASH.224/.329/.334·proj .228/.331/.343
Platoon Splits2024-2026 · 456 PA
vs LHP
vs RHP
Edge
PA
155
301
—
wRC+
123
127
▶R
wOBA
350
356
—
ISO
177
107
◀◀L
BABIP
321
339
▶R
K%
19.4%
15.6%
▶▶R
BB%
7.7%
13.3%
▶▶R
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   Arb-1
MLB Debut   2022
Service   3.936 yrs.days
Team Control Through   2029
First FA Year   2030
YearStatusSalary Proj WAR Value Surplus
2027Arb-1$0.6M+0.3$1M+$0.6M
2028Arb-2$0.6M———
2029Extbeyond projection horizon · no WAR estimate
Totals $0.6M $-0.3M +$0.6M

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)
201621 AKannapolis Intimidators — 203185 571703 15401 102 308363449812 141378 207 358 72 — — — — — —
201621 ROKGreat Falls Voyagers — 134107 33313 19187 44 308444439883 131349 1314 400 78 — — — — — —
201722 A+Winston-Salem Dash — 4541 10310 3111 21 244311366677 122333 247 305 35 — — — — — —
201722 AKannapolis Intimidators — 168145 36913 16333 22 248335386722 138300 2010 319 59 — — — — — —
201722 ROKACL White Sox — 6151 3100 751 10 5918678265 2062 811 143 -46 — — — — — —
201823 AABirmingham Barons — 269236 571717 25755 21 242327411738 169321 289 327 61 — — — — — —
201823 A+Winston-Salem Dash — 236195 501135 35521 46 256372421793 164319 2215 350 61 — — — — — —
201924 AAAkron RubberDucks — 325293 601335 22934 55 205270321590 116276 297 263 34 — — — — — —
202126 AAAColumbus Clippers — 269231 538010 33384 33 229336394730 165234 1412 330 65 — — — — — —
202126 AAAkron RubberDucks — 180155 481315 21261 122 310395503899 194339 1412 391 100 — — — — — —
202227 MLBWashington Nationals — 131114 27315 15302 33 237336412748 175278 2311 337 115 +2 -1 -1 -5 +3 -0.2
202227 AAARochester Red Wings — 327257 7518113 515512 91 292431521953 230318 1716 413 114 — — — — — —
202227 INTLTigres del Licey — 4234 7300 830 10 206357294651 88226 719 311 96 — — — — — —
202328 MLBWashington Nationals — 439375 751418 53786 98 200309307615 107230 1812 284 78 -11 -1 +6 +2 +10 0.5
202328 AAARochester Red Wings — 5040 11301 741 30 275396425821 150278 814 358 88 — — — — — —
202429 MLBWashington Nationals — 11399 34903 12192 51 343425525950 182403 1711 421 170 +9 +1 -1 -5 +2 0.7
202429 AAARochester Red Wings — 312252 5613111 54603 132 222366413778 190245 1917 350 64 — — — — — —
202530 MLBLos Angeles Dodgers — 322270 721325 36556 21 267365385751 119313 1711 332 117 +6 +0 -3 -3 +7 0.7
202631 MLBLos Angeles Dodgers — 195163 38901 23357 11 233352307659 74287 1812 309 100 +0 -0 -0 -2 +4 0.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 12001021 24648422 13921723 2014 241345360705 119284 1812 320 102 +3 -2 +1 -14 +26 1.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201621 A MLEKannapolis Intimidators — 203191 461302 9531 102 241279340619 99318 264 274 72 — — — — — —
201621 ROK MLEGreat Falls Voyagers — 134115 26212 11267 44 226331313644 87264 198 283 78 — — — — — —
201722 A+ MLEWinston-Salem Dash — 4542 8210 2161 21 190244286530 95294 364 220 35 — — — — — —
201722 A MLEKannapolis Intimidators — 168150 32713 11453 22 213280333614 120260 277 255 59 — — — — — —
201722 ROK MLEACL White Sox — 6154 3100 471 10 5613674210 1949 117 100 -46 — — — — — —
201823 AA MLEBirmingham Barons — 269243 481516 18915 21 198267342608 144271 347 259 61 — — — — — —
201823 A+ MLEWinston-Salem Dash — 236209 41924 21801 46 196273316589 120275 349 258 61 — — — — — —
201924 AA MLEAkron RubberDucks — 325300 521134 151134 55 173223270493 97251 355 219 34 — — — — — —
202126 AAA MLEColumbus Clippers — 269241 48707 23454 33 199280315595 116214 179 264 65 — — — — — —
202126 AA MLEAkron RubberDucks — 180161 411014 15321 122 255322404726 149281 188 316 100 — — — — — —
202227 MLB MLEWashington Nationals — 131114 27315 15302 33 237336412748 175278 2311 339 115 +2 -1 -1 -5 +3 -0.2
202227 AAA MLERochester Red Wings — 327272 661619 366312 91 243356408764 165268 1911 336 114 — — — — — —
202328 MLB MLEWashington Nationals — 439375 751418 53786 98 200309307615 107230 1812 284 78 -11 -1 +6 +2 +10 0.5
202328 AAA MLERochester Red Wings — 5043 10201 451 30 233312349661 116236 108 298 88 — — — — — —
202429 MLB MLEWashington Nationals — 11399 34903 12192 51 343425525950 182403 1711 419 170 +9 +1 -1 -5 +2 0.7
202429 AAA MLERochester Red Wings — 312269 471118 37753 132 175282312594 138198 2412 263 64 — — — — — —
202530 MLB MLELos Angeles Dodgers — 322270 741425 36556 21 274372396768 122313 1711 340 117 +6 +0 -3 -3 +7 0.7
202631 MLB MLELos Angeles Dodgers — 195163 391001 23357 11 239358319677 80287 1812 316 100 +0 -0 -0 -2 +4 0.2
201621 A MLE2 teams — 337306 741615 20788 146 242305350655 108308 236 278 74 — — — — — —
201621 A RAW2 teams — 337292 902016 34588 146 308395445840 137367 1710 375 74 — — — — — —
201722 A MLE3 teams — 274246 41923 17695 53 167235256491 89215 256 215 31 — — — — — —
201722 A RAW3 teams — 274237 491323 26495 53 207299316615 110245 189 277 31 — — — — — —
201823 AA MLE2 teams — 505452 8823310 391706 67 195268325593 131282 348 259 61 — — — — — —
201823 AA RAW2 teams — 505431 10728412 601276 67 248348415763 167320 2512 338 61 — — — — — —
201924 AA MLEAkron RubberDucks — 325300 521134 151134 55 173223270493 97257 355 219 34 — — — — — —
201924 AA RAWAkron RubberDucks — 325293 601335 22934 55 205270321590 116276 297 263 34 — — — — — —
202126 AAA MLE2 teams — 449403 8917111 37785 155 221294350644 129245 178 285 79 — — — — — —
202126 AAA RAW2 teams — 449386 10121115 54645 155 262360438797 176277 1412 354 79 — — — — — —
202227 AAA MLE3 teams — 500423 10121215 5610114 134 239347404751 165275 2011 337 114 — — — — — —
202227 AAA RAW3 teams — 500405 10924218 748814 134 269400472871 202298 1815 384 114 — — — — — —
202328 MLB MLE2 teams — 489418 851619 57837 128 203309311620 108231 1712 286 79 -12 -1 +6 +2 +11 0.6
202328 MLB RAW2 teams — 489415 861719 60827 128 207317318635 111235 1712 292 79 -12 -1 +6 +2 +11 0.6
202429 AAA MLE2 teams — 425368 8019111 49945 183 217318364682 147259 2212 305 92 — — — — — —
202429 AAA RAW2 teams — 425351 9022114 66795 183 256382444826 188291 1916 369 92 — — — — — —
202530 MLB MLELos Angeles Dodgers — 322270 741425 36556 21 274372396768 122322 1711 340 117 +6 +0 -3 -3 +7 0.7
202530 MLB RAWLos Angeles Dodgers — 322270 721325 36556 21 267365385751 119313 1711 332 117 +6 +0 -3 -3 +7 0.7
202631 MLB MLELos Angeles Dodgers — 195163 391001 23357 11 239358319677 80295 1812 316 100 +0 -0 -0 -2 +4 0.2
202631 MLB RAWLos Angeles Dodgers — 195163 38901 23357 11 233352307659 74287 1812 309 100 +0 -0 -0 -2 +4 0.2
201621 A MLE2 teams — 337306 741615 20788 146 242305350655 108297 236 278 74 — — — — — —
201722 A MLE3 teams — 274250 41923 17695 53 164235252487 88219 256 215 31 — — — — — —
201823 AA MLE2 teams — 505455 8823310 391706 67 193268323591 130273 348 259 61 — — — — — —
201924 AA MLEAkron RubberDucks — 325303 521134 151134 55 172223267490 96251 355 219 34 — — — — — —
202126 AAA MLE2 teams — 449404 8917111 37785 155 220294349643 129241 178 285 79 — — — — — —
202227 AAA MLE3 teams — 500426 10121215 5610114 134 237347401748 164271 2011 337 114 — — — — — —
202328 MLB MLE2 teams — 489422 851619 57837 128 201309308617 107231 1712 286 79 — — — — — —
202429 AAA MLE2 teams — 425368 8019111 49945 183 217318364682 147252 2212 305 92 — — — — — —
202530 MLB MLELos Angeles Dodgers — 322277 741425 36556 21 267372386758 119313 1711 340 117 — — — — — —
202631 MLB MLELos Angeles Dodgers — 195163 391001 23357 11 239358319677 80287 1812 316 100 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202429 AAA MLE2 teams — 425368 8019111 49945 183 217318364682 147252 2212 305 92 — — — — — —
202530 MLB MLELos Angeles Dodgers — 322277 741425 36556 21 267372386758 119313 1711 340 117 — — — — — —
202631 MLB MLELos Angeles Dodgers — 195163 391001 23357 11 239358319677 80287 1812 316 100 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202732 MLB MLELAD 100% 301258 591215 34586 51 229333343677 115273 1911 310 96 -2 +1 -1 -3 +7 0.3
▸ 2027 — real world (MLB)
202732 MLB CTXLAD 100% 192164 37713 22374 31 224330338667 113267 1911 306 96 -1 +0 -1 -2 +4 0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202833 MLB MLELAD 82% 168144 31612 19333 11 219324323647 104265 2011 298 88 -2 -0 -5 -2 +4 -0.6
202833 MLB CTXLAD 82% 138118 25502 16273 10 216320318638 102259 2012 295 88 -2 +0 -4 -1 +3 -0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 13381139 27153424 15524426 2114 238342355697 117281 1812 317 80 +1 -1 -3 -15 +29 1.1
/ 162G— A+C — 650553 13226212 7511913 107 239343358701 119282 1812 317 80 +1 -1 -1 -7 +14 0.5
Career— MLE — 41813657 7921701879 39094674 9545 217305338642 121267 239 287 80 +0 -2 -4 -18 +34 1.0
/ 162G— MLE — 650569 12326312 6114712 157 216306336642 120267 239 287 80 +0 -1 -2 -7 +14 0.4

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.

2024 AAARochester Red Wings · 312 PAwOBA .345 → .263 (−82)K% 19.2% → 24.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.23%÷0.958×1.200——24.08%
BB% (unintentional) /PA17.31%÷0.969×0.690—×0.97211.97%
HBP% /PA0.96%—×0.940—×0.9720.88%
Singles /BIP16.15%÷1.029×0.930×0.950×0.97213.47%
Doubles /BIP6.77%÷0.962×0.830×0.950×0.9725.39%
Triples /BIP0.52%÷1.150×0.970×0.950×0.9720.41%
Home runs /BIP5.73%÷0.986×0.700—×0.9723.95%

Factors used: league row International League. Park (home-season share, regressed): HR 97, 1B 106, 2B 92, 3B 130, K 92, BB 94 — 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 ×0.950.

Result: wOBA .345 → .263; ISO .190 → .141; BABIP .245 → .198. 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).

2023 AAARochester Red Wings · 50 PAwOBA .349 → .298 (−52)K% 8.0% → 9.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA8.00%÷0.980×1.200——9.79%
BB% (unintentional) /PA12.00%÷0.956×0.690—×0.9828.50%
HBP% /PA2.00%—×0.940—×0.9821.85%
Singles /BIP19.44%÷0.996×0.930—×0.98217.84%
Doubles /BIP8.33%÷1.137×0.830—×0.9825.97%
Triples /BIP0.00%÷1.150×0.970—×0.9820.00%
Home runs /BIP2.78%÷1.058×0.700—×0.9821.81%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 99, 2B 127, 3B 130, K 96, BB 91 — 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).

Result: wOBA .349 → .298; ISO .150 → .114; BABIP .278 → .236. 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).

2022 AAARochester Red Wings · 327 PAwOBA .410 → .336 (−74)K% 16.8% → 19.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.82%÷1.049×1.200——19.25%
BB% (unintentional) /PA15.60%÷0.973×0.690—×0.99210.98%
HBP% /PA3.67%—×0.940—×0.9923.42%
Singles /BIP21.29%÷1.011×0.930×0.950×0.99218.46%
Doubles /BIP8.91%÷0.930×0.830×0.950×0.9927.49%
Triples /BIP0.50%÷0.913×0.970×0.950×0.9920.50%
Home runs /BIP6.44%÷1.084×0.700—×0.9924.12%

Factors used: league row International League. Park (home-season share, regressed): HR 117, 1B 102, 2B 86, 3B 83, K 110, BB 95 — 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 ×0.950.

Result: wOBA .410 → .336; ISO .230 → .176; BABIP .318 → .268. 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).

2021 AAAColumbus Clippers · 269 PAwOBA .323 → .264 (−58)K% 14.1% → 16.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.13%÷1.002×1.200——16.92%
BB% (unintentional) /PA12.27%÷1.008×0.690—×1.0038.42%
HBP% /PA1.49%—×0.940—×1.0031.40%
Singles /BIP18.13%÷0.949×0.930×0.969×1.00317.28%
Doubles /BIP4.15%÷0.949×0.830×0.969×1.0033.53%
Triples /BIP0.00%÷0.900×0.920×0.969×1.0030.00%
Home runs /BIP5.18%÷1.034×0.700—×1.0033.52%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 90, 2B 90, 3B 80, K 100, BB 102 — 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 ×0.969.

Result: wOBA .323 → .264; ISO .165 → .120; BABIP .234 → .214. 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).

2021 AAAkron RubberDucks · 180 PAwOBA .387 → .316 (−71)K% 14.4% → 18.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.44%÷0.977×1.220——18.03%
BB% (unintentional) /PA11.67%÷0.967×0.690—×0.9788.14%
HBP% /PA0.56%—×0.850—×0.9780.46%
Singles /BIP22.48%÷1.042×0.940×0.991×0.97819.66%
Doubles /BIP10.08%÷1.129×0.870×0.991×0.9787.53%
Triples /BIP0.78%÷1.116×0.920×0.991×0.9780.62%
Home runs /BIP3.88%÷0.893×0.780—×0.9783.31%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 108, 2B 126, 3B 123, K 95, BB 93 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.991.

Result: wOBA .387 → .316; ISO .194 → .159; BABIP .339 → .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).

2019 AAAkron RubberDucks · 325 PAwOBA .260 → .219 (−41)K% 28.6% → 34.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.62%÷1.003×1.220——34.81%
BB% (unintentional) /PA6.77%÷1.019×0.700—×0.9984.64%
HBP% /PA1.23%—×0.850—×0.9981.04%
Singles /BIP19.50%÷1.008×0.970×0.950×0.99817.79%
Doubles /BIP6.50%÷0.925×0.860×0.950×0.9985.73%
Triples /BIP1.50%÷0.900×0.950×0.950×0.9981.50%
Home runs /BIP2.50%÷0.863×0.780—×0.9982.25%

Factors used: league row EL. Park (home-season share, regressed): HR 73, 1B 102, 2B 85, 3B 80, K 101, BB 104 — 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 ×0.950.

Result: wOBA .260 → .219; ISO .116 → .102; BABIP .276 → .251. 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 AABirmingham Barons · 269 PAwOBA .321 → .259 (−62)K% 27.9% → 33.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.88%÷1.006×1.220——33.80%
BB% (unintentional) /PA9.29%÷0.954×0.680—×1.0126.70%
HBP% /PA1.86%—×0.840—×1.0121.58%
Singles /BIP19.88%÷1.069×0.920×0.950×1.01216.44%
Doubles /BIP10.56%÷0.969×0.910×0.950×1.0129.53%
Triples /BIP0.62%÷1.150×0.880×0.950×1.0120.46%
Home runs /BIP4.35%÷0.949×0.800—×1.0123.71%

Factors used: league row SL. Park (home-season share, regressed): HR 90, 1B 114, 2B 94, 3B 130, K 101, BB 91 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .321 → .259; ISO .169 → .142; BABIP .321 → .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).

2018 A+Winston-Salem Dash · 236 PAwOBA .346 → .258 (−88)K% 22.0% → 33.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.03%÷0.928×1.420——33.71%
BB% (unintentional) /PA14.83%÷1.049×0.630—×0.9888.80%
HBP% /PA0.42%—×0.860—×0.9880.36%
Singles /BIP21.68%÷0.984×0.940×0.954×0.98819.52%
Doubles /BIP7.69%÷0.939×0.830×0.954×0.9886.41%
Triples /BIP2.10%÷1.150×0.800×0.954×0.9881.38%
Home runs /BIP3.50%÷1.014×0.900—×0.9883.07%

Factors used: league row CAR. Park (home-season share, regressed): HR 103, 1B 97, 2B 88, 3B 130, K 86, BB 110 — 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 ×0.954.

Result: wOBA .346 → .258; ISO .164 → .127; BABIP .319 → .275. 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 — .