Riley Unroe

2B Charlotte Knights
Age 31 S/R 5'10" / 180 lbs AAA HR +4% Svc 0.0 · Ctrl thru 2034
Overview
AAAPROSPECTMiLBFA 2035
MLB%10%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202428AAA/INTL2 orgs404.247/.351/.38791969—.218/.295/.327
202529AAA/INTL2 orgs456.244/.366/.35451976—.246/.335/.351
202630AAACWS339.214/.347/.42114957—.165/.264/.303
2027PROJ10% MLB31MLBCWS16.209/.299/.34200820.0
2028PROJ27% MLB32MLBCWS46.206/.294/.3321178-0.1
Next 2 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2034Service0.0First FA2035
2027MiLB2028MiLB2029Ext$0.8M2030Ext$0.8M2031Ext$0.9M2032Ext$3M2033Ext$5M2034Ext$7M
Skills · percentileMiLB Statcast 2026 AAA
BB%87
Chase%85
Speed82
Max EV26
Whiff%22
Z-Con%21
Career WAR0.0 WAR median (P10 0.0 / P90 0.2, comp-based) · star 0% · didn't stick 96%
CompsAndy Burns (age 31) · Tim Torres (age 32) · Garrett Stubbs (age 31)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†82
AVG/OBP/SLG.209 / .299 / .342
PA16
HR0
K%31
BB%12
BABIP283
ISO71
MLB%10%
Value2027 · WAR
BAT: -3.4 runs (wOBA-derived runs vs avg)-3BATRUN: +0.7 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.6 runs (Positional adjustment)+1POSREP: +3.4 runs (Replacement-level credit)+3REPTotal WAR: +0.10+0.1WAR
trajectory · projected WAR by year
0.1-0.12728
Tools · ContractCON 55 / POW 45
Toolsscout grade
CONTACT55
scouting grade only
POWER45
scouting grade only
EYE60
scouting grade only
SPEED55
scouting grade only
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2029
Service   0 yrs (est)
Team Control Through   2034
First FA Year   2035
YearStatusSalary Proj WAR Value Surplus
2027MiLBstill in minors · estimated debut 2029
2028MiLBstill in minors · estimated debut 2029
2029Extbeyond projection horizon · no WAR estimate
2030Extbeyond projection horizon · no WAR estimate
2031Extbeyond projection horizon · no WAR estimate
2032Extbeyond projection horizon · no WAR estimate
2033Extbeyond projection horizon · no WAR estimate
2034Extbeyond projection horizon · no WAR estimate
Totals $0.0M $0.0M +$0.0M

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)
201317 ROKGCL Rays — 202167 41731 33432 72 246376341718 96325 2116 334 45 — — — — — —
201418 ROKPrinceton Rays — 276243 551123 29473 75 226316325641 99268 1711 295 33 — — — — — —
201519 ABowling Green Hot Rods — 501439 1121324 51992 139 255335321657 66318 2010 298 53 — — — — — —
201519 INTLBrisbane Bandits — 249211 67930 31370 144 318405389794 71381 1512 353 125 — — — — — —
201620 A+Charlotte Stone Crabs — 433369 811234 47914 1810 220314301615 81276 2111 278 37 — — — — — —
201721 AAMontgomery Biscuits — 298245 551032 41692 65 224340314655 90299 2314 296 61 — — — — — —
201721 A+Charlotte Stone Crabs — 8171 10311 7261 30 141228254481 113205 329 218 1 — — — — — —
201822 AAASalt Lake Bees — 2019 5200 150 10 263300368668 105357 255 299 38 — — — — — —
201822 AAMobile BayBears — 402345 78924 52962 109 226331299629 72300 2413 293 54 — — — — — —
201822 INTLBrisbane Bandits — 155131 32727 19382 20 244349489837 244291 2512 361 131 — — — — — —
201923 AAAGwinnett Stripers — 4841 7101 7110 11 171292268560 98207 2315 266 32 — — — — — —
201923 AAMississippi Braves — 303270 771225 26612 92 285352400752 115350 209 334 70 — — — — — —
201923 A+Florida Fire Frogs — 162138 42913 20343 42 304404449853 145382 2112 382 86 — — — — — —
202024 INTLBrisbane Bandits — 1817 3110 130 11 176222353575 176214 176 250 55 — — — — — —
202125 AAAGwinnett Stripers — 3833 2000 580 10 6118461245 80 2113 139 -42 — — — — — —
202125 AAMississippi Braves — 9788 23322 6192 14 261323409732 148313 206 323 72 — — — — — —
202226 AAArkansas Travelers — 434368 971848 59853 255 264370399769 136320 2014 346 76 — — — — — —
202226 INTLGigantes del Cibao — 2321 4100 230 00 190261238499 48222 139 235 45 — — — — — —
202327 AAATacoma Rainiers — 179144 37825 34370 81 257399444843 188314 2119 377 91 — — — — — —
202327 AAArkansas Travelers — 206176 43505 26522 114 244348358706 114317 2513 322 56 — — — — — —
202327 INTLSultanes de Monterrey — 143116 31400 23251 150 267393302695 34333 1716 324 106 — — — — — —
202428 AAAToledo Mud Hens — 294243 661606 41771 184 272379412790 140373 2614 348 71 — — — — — —
202428 INTLSultanes de Monterrey — 11093 17213 10112 12 183276323599 140177 109 262 64 — — — — — —
202529 AAAToledo Mud Hens — 242198 551214 39482 121 278402409811 131342 2016 365 96 — — — — — —
202529 INTLYaquis de Obregon — 214158 32621 26331 73 203319285604 82242 1512 246 53 — — — — — —
202630 AAACharlotte Knights — 339280 6010314 511006 94 214347421769 207277 2915 344 57 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201317 ROK MLEGCL Rays — 202179 32521 21622 72 179272246518 67263 3110 234 45 — — — — — —
201418 ROK MLEPrinceton Rays — 276253 43812 19673 75 170236233470 63223 247 217 33 — — — — — —
201519 A MLEBowling Green Hot Rods — 501456 1021023 341392 139 224280274555 50303 287 247 53 — — — — — —
201620 A+ MLECharlotte Stone Crabs — 433381 69923 351334 1810 181257239496 58251 318 223 37 — — — — — —
201721 AA MLEMontgomery Biscuits — 298257 551032 29852 65 214299300598 86285 2910 258 61 — — — — — —
201721 A+ MLECharlotte Stone Crabs — 8172 9311 6361 30 125203236439 111188 447 169 1 — — — — — —
201822 AAA MLESalt Lake Bees — 2019 3100 160 10 158200211411 53306 305 225 38 — — — — — —
201822 AA MLEMobile BayBears — 402362 74923 351162 109 204278265543 61286 299 248 54 — — — — — —
201923 AAA MLEGwinnett Stripers — 4843 7101 5140 11 163250256506 93193 2910 216 32 — — — — — —
201923 AA MLEMississippi Braves — 303278 651124 18762 92 234285331616 97298 256 272 70 — — — — — —
201923 A+ MLEFlorida Fire Frogs — 162145 35713 13473 42 241317366682 124322 298 296 86 — — — — — —
202125 AAA MLEGwinnett Stripers — 3835 2000 3100 10 5713257189 75 268 106 -42 — — — — — —
202125 AA MLEMississippi Braves — 9790 22322 4232 14 244292389681 144289 244 274 72 — — — — — —
202226 AA MLEArkansas Travelers — 434386 861537 411023 255 223302332634 109276 249 281 76 — — — — — —
202327 AAA MLETacoma Rainiers — 179155 34723 23430 81 219320348669 129286 2413 302 91 — — — — — —
202327 AA MLEArkansas Travelers — 206185 37405 17612 114 200275303577 103257 308 251 56 — — — — — —
202428 AAA MLEToledo Mud Hens — 294257 561305 27911 184 218295327622 109297 319 273 71 — — — — — —
202529 AAA MLEToledo Mud Hens — 242211 521113 26542 121 246335351685 104307 2211 310 96 — — — — — —
202630 AAA MLECharlotte Knights — 339297 49839 341206 94 165264303567 138231 3510 252 57 — — — — — —
201317 ROK MLEGCL Rays — 202179 32521 21622 72 179272246518 67267 3110 234 45 — — — — — —
201317 ROK RAWGCL Rays — 202167 41731 33432 72 246376341718 96325 2116 334 45 — — — — — —
201418 ROK MLEPrinceton Rays — 276253 43812 19673 75 170236233470 63222 247 217 33 — — — — — —
201418 ROK RAWPrinceton Rays — 276243 551123 29473 75 226316325641 99268 1711 295 33 — — — — — —
201519 A MLE2 teams — 750681 1531534 512092 2713 225281273554 48314 287 247 53 — — — — — —
201519 A RAW2 teams — 750650 1792254 821362 2713 275358343701 68339 1811 316 53 — — — — — —
201620 A+ MLECharlotte Stone Crabs — 433381 69923 351334 1810 181257239496 58264 318 223 37 — — — — — —
201620 A+ RAWCharlotte Stone Crabs — 433369 811234 47914 1810 220314301615 81276 2111 278 37 — — — — — —
201721 AA MLE2 teams — 379330 631333 341213 95 191272276548 85287 329 239 48 — — — — — —
201721 AA RAW2 teams — 379316 651343 48953 95 206316301617 95281 2513 279 48 — — — — — —
201822 AA MLE3 teams — 577518 1081435 491674 139 208282276558 68296 298 247 53 — — — — — —
201822 AA RAW3 teams — 577495 11518411 721394 139 232335352686 119300 2412 312 53 — — — — — —
201923 AA MLE3 teams — 513466 1061938 361375 145 227290333623 105302 277 274 72 — — — — — —
201923 AA RAW3 teams — 513449 1262239 531065 145 281363403766 122347 2110 343 72 — — — — — —
202024 INTL MLEBrisbane Bandits — 1817 3110 130 11 176222353575 176214 176 — — — — — — — —
202024 INTL RAWBrisbane Bandits — 1817 3110 130 11 176222353575 176214 176 250 55 — — — — — —
202125 AA MLE2 teams — 135125 23322 7332 24 184239288527 104233 245 227 40 — — — — — —
202125 AA RAW2 teams — 135121 25322 11272 24 207284314598 107250 208 272 40 — — — — — —
202226 AA MLE2 teams — 457407 901637 431073 255 221300327627 106280 239 281 76 — — — — — —
202226 AA RAW2 teams — 457389 1011948 61883 255 260364391755 131314 1913 341 76 — — — — — —
202327 AA MLE3 teams — 528464 9816311 551433 345 211299330629 119278 2710 275 72 — — — — — —
202327 AA RAW3 teams — 528436 11117210 831143 345 255377372749 117321 2216 341 72 — — — — — —
202428 AAA MLE2 teams — 404349 781808 381243 196 223305344649 120321 319 273 71 — — — — — —
202428 AAA RAW2 teams — 404336 831819 51883 196 247351387738 140308 2213 324 71 — — — — — —
202529 AAA MLE2 teams — 456371 982026 501013 194 264356377733 113339 2211 310 96 — — — — — —
202529 AAA RAW2 teams — 456356 871835 65813 194 244366354719 110296 1814 309 96 — — — — — —
202630 AAA MLECharlotte Knights — 339297 49839 341206 94 165264303567 138238 3510 252 57 — — — — — —
202630 AAA RAWCharlotte Knights — 339280 6010314 511006 94 214347421769 207277 2915 344 57 — — — — — —
201317 ROK MLEGCL Rays — 202177 32521 21622 72 181272249521 68263 3110 234 45 — — — — — —
201418 ROK MLEPrinceton Rays — 276252 43812 19673 75 171236234470 63223 247 217 33 — — — — — —
201519 A MLE2 teams — 750691 1531534 512092 2713 221281269550 48303 287 247 53 — — — — — —
201620 A+ MLECharlotte Stone Crabs — 433391 69923 351334 1810 176257233490 56251 318 223 37 — — — — — —
201721 AA MLE2 teams — 379339 631333 341213 95 186272268541 83264 329 239 48 — — — — — —
201822 AA MLE3 teams — 577519 1081435 491674 139 208282276557 67287 298 247 53 — — — — — —
201923 AA MLE3 teams — 513467 1061938 361375 145 227290332622 105296 277 274 72 — — — — — —
202125 AA MLE2 teams — 135125 23322 7332 24 184239288527 104229 245 227 40 — — — — — —
202226 AA MLE2 teams — 457408 901637 431073 255 221300326626 105276 239 281 76 — — — — — —
202327 AA MLE3 teams — 528465 9816311 551433 345 211299329628 118270 2710 275 72 — — — — — —
202428 AAA MLE2 teams — 404360 781808 381243 196 217305333638 117297 319 273 71 — — — — — —
202529 AAA MLE2 teams — 456400 982026 501013 194 245356350706 105307 2211 310 96 — — — — — —
202630 AAA MLECharlotte Knights — 339296 49839 341206 94 166264304568 139231 3510 252 57 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202428 AAA MLE2 teams — 404360 781808 381243 196 217305333638 117297 319 273 71 — — — — — —
202529 AAA MLE2 teams — 456400 982026 501013 194 245356350706 105307 2211 310 96 — — — — — —
202630 AAA MLECharlotte Knights — 339296 49839 341206 94 166264304568 139231 3510 252 57 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202731 MLB MLECWS 10% 339298 621228 341004 103 208298339637 131282 2910 289 82 -7 +1 +0 +1 +7 0.1
▸ 2027 — real world (MLB)
202731 MLB CTXCWS 10% 1614 3100 250 00 209299342641 132283 3112 290 82 -0 +0 +0 +0 +0 0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202832 MLB MLECWS 27% 169148 31614 17502 31 205293330623 125278 3010 283 78 -4 +0 -4 +1 +4 -0.4
202832 MLB CTXCWS 27% 4640 8201 5141 10 206294332626 127279 3011 284 78 -1 +0 -1 +0 +1 -0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 4640 8201 5141 10 200304325629 125280 3011 284 61 -1 +0 -1 +0 +1 -0.1
/ 162G— A+C — 650565 11328014 7119814 140 200305324629 124280 3011 284 61 -17 +3 -13 +2 +14 -1.2
Career— MLE — 57915122 10731763377 506162347 21280 209287302588 92288 289 258 61 -8 +1 -4 +1 +7 -0.2
/ 162G— MLE — 650575 1212049 571825 249 210287306593 96289 289 258 61 -16 +2 -7 +2 +14 -0.5

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.

2026 AAACharlotte Knights · 339 PAwOBA .336 → .252 (−83)K% 29.5% → 35.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA29.50%÷1.000×1.200——35.40%
BB% (unintentional) /PA15.04%÷1.000×0.690—×0.9629.99%
HBP% /PA1.77%—×0.940—×0.9621.60%
Singles /BIP18.33%÷1.000×0.930×0.977×0.96216.03%
Doubles /BIP5.56%÷1.000×0.830×0.977×0.9624.34%
Triples /BIP1.67%÷1.000×0.970×0.977×0.9621.52%
Home runs /BIP7.78%÷1.000×0.700—×0.9625.24%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.977.

Result: wOBA .336 → .252; ISO .207 → .148; BABIP .277 → .231. 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).

2025 AAAToledo Mud Hens · 242 PAwOBA .361 → .310 (−51)K% 19.8% → 22.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.83%÷1.073×1.200——22.18%
BB% (unintentional) /PA16.12%÷0.988×0.690—×0.97210.94%
HBP% /PA0.83%—×0.940—×0.9720.76%
Singles /BIP25.33%÷0.993×0.930×1.004×0.97223.14%
Doubles /BIP8.00%÷0.953×0.830×1.004×0.9726.80%
Triples /BIP0.67%÷0.905×0.970×1.004×0.9720.70%
Home runs /BIP2.67%÷0.872×0.700—×0.9722.08%

Factors used: league row International League. Park (home-season share, regressed): HR 74, 1B 99, 2B 91, 3B 81, K 115, BB 98 — 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 ×1.004.

Result: wOBA .361 → .310; ISO .131 → .117; BABIP .342 → .307. 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 AAAToledo Mud Hens · 294 PAwOBA .340 → .273 (−67)K% 26.2% → 30.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.19%÷1.022×1.200——30.76%
BB% (unintentional) /PA13.95%÷1.016×0.690—×0.9829.30%
HBP% /PA0.34%—×0.940—×0.9820.31%
Singles /BIP26.51%÷1.117×0.930×0.993×0.98221.52%
Doubles /BIP9.64%÷1.049×0.830×0.993×0.9827.44%
Triples /BIP0.00%÷1.070×0.970×0.993×0.9820.00%
Home runs /BIP3.61%÷0.792×0.700—×0.9823.14%

Factors used: league row International League. Park (home-season share, regressed): HR 58, 1B 123, 2B 110, 3B 114, K 104, BB 103 — 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 ×0.993.

Result: wOBA .340 → .273; ISO .140 → .122; BABIP .373 → .297. 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 AAArkansas Travelers · 206 PAwOBA .315 → .251 (−65)K% 25.2% → 29.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.24%÷1.041×1.220——29.59%
BB% (unintentional) /PA12.62%÷1.046×0.700—×0.9688.17%
HBP% /PA0.97%—×0.870—×0.9680.82%
Singles /BIP26.61%÷1.033×0.920×0.950×0.96821.80%
Doubles /BIP4.03%÷0.983×0.840×0.950×0.9683.17%
Triples /BIP0.00%÷1.103×0.940×0.950×0.9680.00%
Home runs /BIP4.03%÷0.853×0.800—×0.9683.66%

Factors used: league row TL. Park (home-season share, regressed): HR 71, 1B 107, 2B 97, 3B 121, K 108, BB 109 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .315 → .251; ISO .114 → .102; BABIP .317 → .257. 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 AAATacoma Rainiers · 179 PAwOBA .368 → .302 (−67)K% 20.7% → 24.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.67%÷1.024×1.200——24.23%
BB% (unintentional) /PA18.99%÷1.013×0.690—×0.99212.84%
HBP% /PA0.00%—×0.940—×0.9920.00%
Singles /BIP20.56%÷0.989×0.930×1.002×0.99219.22%
Doubles /BIP7.48%÷0.940×0.830×1.002×0.9926.56%
Triples /BIP1.87%÷0.900×0.970×1.002×0.9922.00%
Home runs /BIP4.67%÷1.157×0.700—×0.9922.80%

Factors used: league row International League. Park (home-season share, regressed): HR 131, 1B 98, 2B 88, 3B 80, K 105, BB 103 — 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 ×1.002.

Result: wOBA .368 → .302; ISO .188 → .148; BABIP .314 → .286. 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 AAArkansas Travelers · 434 PAwOBA .340 → .281 (−59)K% 19.6% → 23.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.59%÷1.015×1.220——23.54%
BB% (unintentional) /PA13.59%÷0.976×0.700—×0.9789.53%
HBP% /PA0.69%—×0.870—×0.9780.59%
Singles /BIP23.67%÷0.985×0.920×0.972×0.97821.02%
Doubles /BIP6.36%÷0.987×0.840×0.972×0.9785.15%
Triples /BIP1.41%÷1.150×0.940×0.972×0.9781.10%
Home runs /BIP2.83%÷0.909×0.800—×0.9782.43%

Factors used: league row TL. Park (home-season share, regressed): HR 82, 1B 97, 2B 97, 3B 130, K 103, BB 95 — 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 ×0.972.

Result: wOBA .340 → .281; ISO .136 → .115; BABIP .320 → .276. 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 AAMississippi Braves · 97 PAwOBA .315 → .274 (−40)K% 19.6% → 23.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.59%÷0.998×1.220——23.95%
BB% (unintentional) /PA6.19%÷1.106×0.690—×0.9883.81%
HBP% /PA2.06%—×0.850—×0.9881.73%
Singles /BIP23.19%÷1.023×0.940×1.016×0.98821.39%
Doubles /BIP4.35%÷0.999×0.870×1.016×0.9883.80%
Triples /BIP2.90%÷0.900×0.920×1.016×0.9882.97%
Home runs /BIP2.90%÷0.861×0.780—×0.9882.59%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 72, 1B 105, 2B 100, 3B 80, K 100, BB 121 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.016.

Result: wOBA .315 → .274; ISO .148 → .136; BABIP .313 → .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).

2021 AAAGwinnett Stripers · 38 PAwOBA .137 → .106 (−31)K% 21.1% → 25.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.05%÷0.975×1.200——25.90%
BB% (unintentional) /PA13.16%÷1.014×0.690—×1.0189.12%
HBP% /PA0.00%—×0.940—×1.0180.00%
Singles /BIP8.00%÷1.011×0.930—×1.0187.49%
Doubles /BIP0.00%÷1.039×0.830—×1.0180.00%
Triples /BIP0.00%÷1.150×0.920—×1.0180.00%
Home runs /BIP0.00%÷1.001×0.700—×1.0180.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 102, 2B 108, 3B 130, K 95, BB 103 — 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 .137 → .106; ISO .000 → .000; BABIP .080 → .075. 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 — .