Derek Hill

RF Philadelphia Phillies
Age 31 R/R 6'0" / 206 lbs MLB HR +14% Svc 4.233 · Ctrl thru 2028
Overview
MLB40-MANArb-2FA 2029
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202428AAAMIA185.348/.418/.62287134—.294/.348/.512
202428MLBMIA172.241/.272/.42076960.4
202529AAAMIA47.171/.277/.220037—.116/.191/.140
202529MLBCWS149.216/.281/.32837690.5
202630MLBPHI216.241/.291/.4421113970.1
2027PROJ31MLBPHI167.245/.300/.4357111000.3
2028PROJ82% MLB32MLBPHI128.239/.294/.4215695-0.2
Last 3 seasons WAR 1.0  ·  Next 2 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2028Service4.233First FA2029
2027Arb-2$2M2028Arb-3$2M
Skills · percentileStatcast 2024-2026
Speed90
Barrel%68
Avg EV53
Bat Spd52
xwOBA40
Form.253/.301/.454 ▲ rolling true talent (60d window) · proj .241/.295/.422
CompsDylan Moore (age 30) · Dewayne Wise (age 31) · Will Venable (age 31)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†vL 103100vR 91
AVG/OBP/SLG.245 / .300 / .435
PA167
HR7
SB11
K%29
BB%6
BABIP304
ISO183
MLB%100%
Value2027 · WAR
BAT: +0.1 runs (wOBA-derived runs vs avg)+0BATRUN: +1.9 runs (SB/CS + UBR baserunning)+2RUNFLD: -0.7 runs (Defensive runs vs avg)-1FLDPOS: -1.8 runs (Positional adjustment)-2POSREP: +3.6 runs (Replacement-level credit)+4REPTotal WAR: +0.70+0.7WAR
0.00.51.00.70.027282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit+$1M ctrl surplus
Tools · Recent Form · Splits · ContractCON 45 / POW 55
Toolsscout grade · Statcast %ile · 2024-2026
CONTACT45
xAVG
270.232
POWER55
Barrel%
6810.9
Avg EV
5389.3
Bat Spd
5271.6
EYE35
scouting grade only
SPEED60
Sprint
9029.5
Recent Formrolling true talent ⓘ
K%26%▲▲20% over 30 PA (60d) · proj 29%
BB%6%▼3% over 30 PA (60d) · proj 6%
ISO.201▲.310 over 29 AB (60d) · proj .181
BABIP.301·.238 over 21 BIP (60d) · proj .302
SLASH.253/.301/.454▲proj .241/.295/.422
Platoon Splits2024-2026 · 343 PA
vs LHP
vs RHP
Edge
PA
152
191
—
wRC+
129
55
◀◀L
wOBA
359
249
◀◀L
ISO
218
095
◀◀L
BABIP
350
307
◀L
K%
30.3%
33.0%
◀L
BB%
7.9%
2.6%
◀◀L
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   Arb-2
MLB Debut   2021
Service   4.233 yrs.days
Team Control Through   2028
First FA Year   2029
YearStatusSalary Proj WAR Value Surplus
2027Arb-2$2M+0.7$3M+$0.4M
2028Arb-3$2M———
Totals $2M $2M +$0.4M

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)
201418 ROKGCL Tigers — 11999 21222 16192 91 212333333667 121241 1613 304 39 — — — — — —
201519 AWest Michigan Whitecaps — 235210 50650 20441 257 238307314622 76298 199 280 46 — — — — — —
201620 AWest Michigan Whitecaps — 415384 1021761 241053 356 266314349663 83361 256 297 44 — — — — — —
201721 A+Lakeland Flying Tigers — 3831 6100 5101 100 194324226550 32286 2613 264 28 — — — — — —
201721 AWest Michigan Whitecaps — 168144 41861 16384 125 285372444816 160374 2310 355 67 — — — — — —
201721 ROKGCL Tigers West — 6149 8111 10150 70 163305286591 122206 2516 270 11 — — — — — —
201822 A+Lakeland Flying Tigers — 383343 82934 331091 3512 239308318625 79338 289 283 32 — — — — — —
201923 AAErie SeaWolves — 526470 11419514 3814710 2113 243313394706 151321 287 312 49 — — — — — —
201923 INTLMesa Solar Sox — 6559 15403 5211 61 254323475798 220343 328 351 124 — — — — — —
202125 MLBDetroit Tigers — 150139 36333 10421 63 259313388702 129351 287 314 102 +0 +0 +2 +1 +3 0.7
202125 AAAToledo Mud Hens — 141125 40534 10392 41 320380504884 184434 287 379 103 — — — — — —
202125 ALakeland Flying Tigers — 1918 6100 160 00 333368389757 56500 325 342 48 — — — — — —
202226 MLBDetroit Tigers — 9283 19201 5280 30 229273289562 60327 305 246 55 -5 +1 +2 +1 +2 0.1
202226 AAATacoma Rainiers — 255227 521047 22681 82 229300401701 172290 279 306 63 — — — — — —
202327 MLBWashington Nationals — 5047 8100 3110 10 170220191411 21222 226 194 17 -5 +0 +2 +2 +1 -0.1
202327 AAARochester Red Wings — 360322 10217611 29702 164 317377509886 193371 198 382 95 — — — — — —
202327 A+Wilmington Blue Rocks — 1512 3100 201 11 250400333733 83250 013 348 69 — — — — — —
202428 MLBMiami Marlins — 172162 39427 5562 62 241272420692 179320 333 299 96 -1 +0 -0 +1 +4 0.4
202428 AAAJacksonville Jumbo Shrimp — 185164 571348 17443 71 3484186221.040 274434 249 448 134 — — — — — —
202529 MLBChicago White Sox — 149134 29603 9483 70 216281328609 112313 326 272 69 -5 +1 +5 +1 +3 0.5
202529 AAAJacksonville Jumbo Shrimp — 4741 7200 5141 31 171277220496 49259 3011 241 7 — — — — — —
202630 MLBPhiladelphia Phillies — 216199 485111 13691 134 241291442733 201311 326 318 97 -1 +1 -1 -2 +5 0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 829764 17921625 452547 369 234283376659 141316 315 290 82 -18 +4 +8 +4 +18 1.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201418 ROK MLEGCL Tigers — 119105 19222 10272 91 181265295560 114200 238 226 39 — — — — — —
201519 A MLEWest Michigan Whitecaps — 235216 45540 14611 257 208260269528 60283 266 236 46 — — — — — —
201620 A MLEWest Michigan Whitecaps — 415391 831351 171453 356 212251279529 66327 354 233 44 — — — — — —
201721 A+ MLELakeland Flying Tigers — 3833 5100 3141 100 152243182425 30269 378 209 28 — — — — — —
201721 A MLEWest Michigan Whitecaps — 168149 31641 11534 125 208280322603 114304 327 267 67 — — — — — —
201721 ROK MLEGCL Tigers West — 6153 7111 6220 70 132220245466 113158 3610 184 11 — — — — — —
201822 A+ MLELakeland Flying Tigers — 383353 67822 231571 3512 190241241482 51322 416 215 32 — — — — — —
201923 AA MLEErie SeaWolves — 526482 961448 2618010 2113 199255295549 95287 345 240 49 — — — — — —
202125 MLB MLEDetroit Tigers — 150139 36333 10421 63 259313388702 129351 287 319 102 +0 +0 +2 +1 +3 0.7
202125 AAA MLEToledo Mud Hens — 141128 37433 7472 41 289336438773 148404 335 320 103 — — — — — —
202125 A MLELakeland Flying Tigers — 1918 5100 180 00 278316333649 56434 425 239 48 — — — — — —
202226 MLB MLEDetroit Tigers — 9283 19201 5280 30 229273289562 60327 305 249 55 -5 +1 +2 +1 +2 0.1
202226 AAA MLETacoma Rainiers — 255234 491054 15801 82 209260346606 137285 316 262 63 — — — — — —
202327 MLB MLEWashington Nationals — 5047 8100 3110 10 170220191411 21222 226 194 17 -5 +0 +2 +2 +1 -0.1
202327 AAA MLERochester Red Wings — 360330 881257 21862 164 267314397711 130327 246 308 95 — — — — — —
202327 A+ MLEWilmington Blue Rocks — 1513 3100 101 11 231333308641 77209 07 270 69 — — — — — —
202428 MLB MLEMiami Marlins — 172162 39427 5562 62 241272420692 179320 333 310 96 -1 +0 -0 +1 +4 0.4
202428 AAA MLEJacksonville Jumbo Shrimp — 185170 501146 11533 71 294348512860 218391 296 366 134 — — — — — —
202529 MLB MLEChicago White Sox — 149134 29603 9483 70 216281328609 112313 326 271 69 -5 +1 +5 +1 +3 0.5
202529 AAA MLEJacksonville Jumbo Shrimp — 4743 5100 3171 31 116191140331 23218 366 178 7 — — — — — —
202630 MLB MLEPhiladelphia Phillies — 216199 475110 13691 134 236286422708 186311 326 311 97 -1 +1 -1 -2 +5 0.1
201418 ROK MLEGCL Tigers — 119105 19222 10272 91 181265295560 114221 238 226 39 — — — — — —
201418 ROK RAWGCL Tigers — 11999 21222 16192 91 212333333667 121241 1613 304 39 — — — — — —
201519 A MLEWest Michigan Whitecaps — 235216 45540 14611 257 208260269528 60287 266 236 46 — — — — — —
201519 A RAWWest Michigan Whitecaps — 235210 50650 20441 257 238307314622 76298 199 280 46 — — — — — —
201620 A MLEWest Michigan Whitecaps — 415391 831351 171453 356 212251279529 66332 354 233 44 — — — — — —
201620 A RAWWest Michigan Whitecaps — 415384 1021761 241053 356 266314349663 83361 256 297 44 — — — — — —
201721 A MLE3 teams — 267235 43852 20895 295 183262285547 102279 337 240 48 — — — — — —
201721 A RAW3 teams — 267224 551072 31635 295 246350379729 134327 2412 323 48 — — — — — —
201822 A+ MLELakeland Flying Tigers — 383353 67822 231571 3512 190241241482 51333 416 215 32 — — — — — —
201822 A+ RAWLakeland Flying Tigers — 383343 82934 331091 3512 239308318625 79338 289 283 32 — — — — — —
201923 AA MLE2 teams — 591543 1071649 2920311 2714 197252291543 94293 345 240 49 — — — — — —
201923 AA RAW2 teams — 591529 12923517 4316811 2714 244314403717 159323 287 317 49 — — — — — —
202125 MLB MLE3 teams — 310286 78866 17973 104 273320406726 133391 315 314 99 -0 +0 +2 +1 +7 1.0
202125 MLB RAW3 teams — 310282 82967 21873 104 291346440786 149397 287 345 99 -0 +0 +2 +1 +7 1.0
202226 AAA MLE2 teams — 347317 681255 201081 112 215263331595 117303 316 259 61 — — — — — —
202226 AAA RAW2 teams — 347310 711248 27961 112 229293371664 142300 288 290 61 — — — — — —
202327 AAA MLE3 teams — 425390 991457 25973 185 254304369673 115317 236 293 85 — — — — — —
202327 AAA RAW3 teams — 425381 11319611 34813 185 297359465823 168348 198 359 85 — — — — — —
202428 AAA MLE2 teams — 357332 9015613 161095 133 271314470784 199363 314 339 115 — — — — — —
202428 AAA RAW2 teams — 357326 9617615 221005 133 294348521870 227380 286 376 115 — — — — — —
202529 MLB MLE2 teams — 196177 34703 12654 101 192259282542 90284 336 249 54 -11 +2 +5 +1 +4 0.0
202529 MLB RAW2 teams — 196175 36803 14624 101 206280303583 97300 327 265 54 -11 +2 +5 +1 +4 0.0
202630 MLB MLEPhiladelphia Phillies — 216199 475110 13691 134 236286422708 186308 326 311 97 -1 +1 -1 -2 +5 0.1
202630 MLB RAWPhiladelphia Phillies — 216199 485111 13691 134 241291442733 201311 326 318 97 -1 +1 -1 -2 +5 0.1
201418 ROK MLEGCL Tigers — 119106 19222 10272 91 179265292557 113200 238 226 39 — — — — — —
201519 A MLEWest Michigan Whitecaps — 235218 45540 14611 257 206260266526 60283 266 236 46 — — — — — —
201620 A MLEWest Michigan Whitecaps — 415392 831351 171453 356 212251278529 66327 354 233 44 — — — — — —
201721 A MLE3 teams — 267240 43852 20895 295 179262279541 100266 337 240 48 — — — — — —
201822 A+ MLELakeland Flying Tigers — 383356 67822 231571 3512 188241239480 51322 416 215 32 — — — — — —
201923 AA MLE2 teams — 591546 1071649 2920311 2714 196252289542 93287 345 240 49 — — — — — —
202125 MLB MLE3 teams — 310287 78866 17973 104 272320404724 132380 315 314 99 — — — — — —
202226 AAA MLE2 teams — 347323 681255 201081 112 211263325588 115296 316 259 61 — — — — — —
202327 AAA MLE3 teams — 425394 991457 25973 185 251304365669 114311 236 293 85 — — — — — —
202428 AAA MLE2 teams — 357333 9015613 161095 133 270314468783 198357 314 339 115 — — — — — —
202529 MLB MLE2 teams — 196178 34703 12654 101 191259281540 90290 336 249 54 — — — — — —
202630 MLB MLEPhiladelphia Phillies — 216200 475110 13691 134 235286420706 185311 326 311 97 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202428 AAA MLE2 teams — 357333 9015613 161095 133 270314468783 198357 314 339 115 — — — — — —
202529 MLB MLE2 teams — 196178 34703 12654 101 191259281540 90290 336 249 54 — — — — — —
202630 MLB MLEPhiladelphia Phillies — 216200 475110 13691 134 235286420706 185311 326 311 97 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202731 MLB MLEPHI 100% 270248 598111 17783 173 241297422720 181302 296 316 100 +0 +2 -1 -3 +6 0.7
▸ 2027 — real world (MLB)
202731 MLB CTXPHI 100% 167153 37517 10482 112 245300435735 190304 296 322 100 +0 +1 -1 -2 +4 0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202832 MLB MLEPHI 82% 156143 34516 10462 71 236291409700 173298 296 309 95 -1 +1 -4 -2 +3 -0.2
202832 MLB CTXPHI 82% 128118 28415 8381 61 239294421715 182299 306 314 95 -1 +1 -3 -1 +3 -0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 957882 20725730 532928 4210 235284381665 146314 316 293 67 -18 +4 +5 +2 +21 1.4
/ 162G— A+C — 650599 14017520 361985 297 234282379661 145313 306 293 67 -12 +3 +3 +1 +14 0.9
Career— MLE — 41843840 8511234773 236132144 25367 222275335610 114315 326 267 67 -18 +6 +3 +0 +25 1.6
/ 162G— MLE — 650597 13119711 372057 3910 219273330603 111312 326 267 67 -10 +3 +2 +0 +14 0.9

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.

2025 AAAJacksonville Jumbo Shrimp · 47 PAwOBA .235 → .178 (−57)K% 29.8% → 36.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA29.79%÷0.978×1.200——36.54%
BB% (unintentional) /PA10.64%÷1.027×0.690—×0.9726.95%
HBP% /PA2.13%—×0.940—×0.9721.94%
Singles /BIP18.52%÷1.051×0.930—×0.97215.92%
Doubles /BIP7.41%÷1.023×0.830—×0.9725.84%
Triples /BIP0.00%÷1.150×0.970—×0.9720.00%
Home runs /BIP0.00%÷0.903×0.700—×0.9720.00%

Factors used: league row International League. Park (home-season share, regressed): HR 81, 1B 110, 2B 105, 3B 130, K 96, BB 105 — 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).

Result: wOBA .235 → .178; ISO .049 → .037; BABIP .259 → .218. 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).

2024 AAAJacksonville Jumbo Shrimp · 185 PAwOBA .438 → .366 (−72)K% 23.8% → 28.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.78%÷0.999×1.200——28.57%
BB% (unintentional) /PA9.19%÷1.005×0.690—×0.9826.20%
HBP% /PA1.62%—×0.940—×0.9821.50%
Singles /BIP26.67%÷1.016×0.930×1.033×0.98224.77%
Doubles /BIP10.83%÷0.970×0.830×1.033×0.9829.40%
Triples /BIP3.33%÷0.985×0.970×1.033×0.9823.33%
Home runs /BIP6.67%÷0.925×0.700—×0.9824.95%

Factors used: league row International League. Park (home-season share, regressed): HR 85, 1B 103, 2B 94, 3B 97, K 100, 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 ×1.033.

Result: wOBA .438 → .366; ISO .274 → .222; BABIP .434 → .391. 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 · 360 PAwOBA .376 → .308 (−68)K% 19.4% → 23.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.44%÷0.980×1.200——23.81%
BB% (unintentional) /PA8.06%÷0.956×0.690—×0.9925.76%
HBP% /PA0.56%—×0.940—×0.9920.52%
Singles /BIP26.98%÷0.996×0.930×1.012×0.99225.30%
Doubles /BIP6.75%÷1.137×0.830×1.012×0.9924.94%
Triples /BIP2.38%÷1.150×0.970×1.012×0.9922.02%
Home runs /BIP4.37%÷1.058×0.700—×0.9922.87%

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 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 ×1.012.

Result: wOBA .376 → .308; ISO .193 → .137; BABIP .371 → .327. 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 A+Wilmington Blue Rocks · 15 PAwOBA .340 → .270 (−70)K% 0.0% → 0.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA0.00%÷0.973×1.310——0.00%
BB% (unintentional) /PA13.33%÷1.005×0.600—×0.9487.55%
HBP% /PA6.67%—×0.770—×0.9484.87%
Singles /BIP16.67%÷0.981×0.870—×0.94814.02%
Doubles /BIP8.33%÷0.894×0.780—×0.9486.90%
Triples /BIP0.00%÷0.913×0.850—×0.9480.00%
Home runs /BIP0.00%÷0.913×0.880—×0.9480.00%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 83, 1B 96, 2B 79, 3B 83, K 95, BB 101 — applied at half strength. Age: age 28 vs a level average of 22.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average).

Result: wOBA .340 → .270; ISO .083 → .075; BABIP .250 → .209. 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 AAATacoma Rainiers · 255 PAwOBA .301 → .262 (−40)K% 26.7% → 31.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.67%÷1.020×1.200——31.39%
BB% (unintentional) /PA8.63%÷1.048×0.690—×1.0035.70%
HBP% /PA0.39%—×0.940—×1.0030.37%
Singles /BIP19.50%÷1.013×0.930×1.050×1.00318.85%
Doubles /BIP6.29%÷0.839×0.830×1.050×1.0036.55%
Triples /BIP2.52%÷0.902×0.970×1.050×1.0032.85%
Home runs /BIP4.40%÷1.144×0.700—×1.0032.70%

Factors used: league row International League. Park (home-season share, regressed): HR 129, 1B 103, 2B 68, 3B 80, K 104, BB 110 — 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 ×1.050.

Result: wOBA .301 → .262; ISO .172 → .143; BABIP .290 → .285. 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 AAAToledo Mud Hens · 141 PAwOBA .371 → .320 (−51)K% 27.7% → 33.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.66%÷1.000×1.200——33.20%
BB% (unintentional) /PA7.09%÷1.038×0.690—×1.0184.80%
HBP% /PA1.42%—×0.940—×1.0181.36%
Singles /BIP32.56%÷0.991×0.930×1.008×1.01831.35%
Doubles /BIP5.81%÷1.013×0.830×1.008×1.0184.89%
Triples /BIP3.49%÷0.981×0.920×1.008×1.0183.36%
Home runs /BIP4.65%÷1.052×0.700—×1.0183.15%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 110, 1B 98, 2B 103, 3B 96, K 100, BB 108 — 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 ×1.008.

Result: wOBA .371 → .320; ISO .184 → .144; BABIP .434 → .404. 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 ALakeland Flying Tigers · 19 PAwOBA .333 → .239 (−94)K% 31.6% → 43.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA31.58%÷0.988×1.360——43.49%
BB% (unintentional) /PA5.26%÷1.017×0.690—×0.9603.43%
HBP% /PA0.00%—×0.780—×0.9600.00%
Singles /BIP41.67%÷1.002×0.920—×0.96036.72%
Doubles /BIP8.33%÷0.992×0.830—×0.9606.69%
Triples /BIP0.00%÷1.016×0.910—×0.9600.00%
Home runs /BIP0.00%÷0.937×0.800—×0.9600.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 87, 1B 100, 2B 98, 3B 103, K 98, BB 103 — applied at half strength. Age: age 26 vs a level average of 22.0 → −4.0% on BB/HBP/hit rates (4.0 yr older than average).

Result: wOBA .333 → .239; ISO .056 → .037; BABIP .500 → .434. 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 AAErie SeaWolves · 526 PAwOBA .306 → .240 (−66)K% 27.9% → 34.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.95%÷0.994×1.220——34.29%
BB% (unintentional) /PA7.22%÷1.050×0.700—×1.0124.87%
HBP% /PA1.90%—×0.850—×1.0121.64%
Singles /BIP23.53%÷0.978×0.970×0.950×1.01222.43%
Doubles /BIP5.88%÷1.077×0.860×0.950×1.0124.52%
Triples /BIP1.55%÷1.127×0.950×0.950×1.0121.25%
Home runs /BIP4.33%÷1.294×0.780—×1.0122.64%

Factors used: league row EL. Park (home-season share, regressed): HR 159, 1B 96, 2B 115, 3B 125, K 99, BB 110 — 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 .306 → .240; ISO .151 → .099; BABIP .321 → .287. 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).