Brady Allen

RF Erie SeaWolves
Age 27 R/L 6'0" / 218 lbs AA HR -8% Svc 0.0 · Ctrl thru 2035
Overview
AAPROSPECTMiLBFA 2036
MLB%2%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202323AA/A+DET538.253/.356/.46019582—.213/.293/.382
202424AADET410.205/.281/.3429638—.175/.230/.280
202525AADET90.171/.300/.3291138—.138/.233/.262
2027PROJMLE27MLBDET2.207/.278/.3380077-0.0
2028PROJ27% MLB28MLBDET34.207/.277/.3361076-0.1
Next 2 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2035Service0.0First FA2036
2027MiLB2028MiLB2029Ext$0.0M2030Ext$0.8M2031Ext$0.9M2032Ext$0.9M2033Ext$3M2034Ext$5M+1
Skills · percentileMiLB Statcast 2025 AA
Chase%93
BB%81
ISO74
wRC+43
K%42
Speed40
CompsBrett Carroll (age 28) · Quincy Latimore (age 27) · Taylor Featherston (age 27)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†77
AVG/OBP/SLG.207 / .278 / .338
PA2
HR0
K%50
BB%7
BABIP276
ISO117
MLB%2%
Value2027 · WAR
BAT: -2.3 runs (wOBA-derived runs vs avg)-2BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.9 runs (Positional adjustment)-1POSREP: +1.8 runs (Replacement-level credit)+2REPTotal WAR: -0.10-0.1WAR
trajectory · projected WAR by year
-0.1-0.12728
Tools · Contract
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2030
Service   0 yrs (est)
Team Control Through   2035
First FA Year   2036
YearStatusSalary Proj WAR Value Surplus
2027MiLBstill in minors · estimated debut 2030
2028MiLBstill in minors · estimated debut 2030
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
2035Extbeyond 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)
202222 A+Beloit Sky Carp — 3834 7010 490 00 206289265554 59280 2411 259 24 — — — — — —
202222 AJupiter Hammerheads — 450386 971628 551185 61 251352365717 114337 2612 326 48 — — — — — —
202323 AAErie SeaWolves — 3531 4201 4120 00 129229290519 161167 3411 238 3 — — — — — —
202323 A+West Michigan Whitecaps — 503428 11230318 621238 51 262365472837 210322 2412 368 88 — — — — — —
202424 AAErie SeaWolves — 410366 751739 331396 67 205281342623 137296 348 279 38 — — — — — —
202525 AAErie SeaWolves — 9076 13901 12232 10 171300329629 158231 2613 291 38 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202222 A+ MLEBeloit Sky Carp — 3835 6010 3110 00 171237229465 57250 298 204 24 — — — — — —
202222 A MLEJupiter Hammerheads — 450403 741016 381665 61 184262258520 74288 378 239 48 — — — — — —
202323 AA MLEErie SeaWolves — 3532 4201 3160 00 125200281481 156157 469 172 3 — — — — — —
202323 A+ MLEWest Michigan Whitecaps — 503447 9824216 431558 51 219299389688 170285 319 299 88 — — — — — —
202424 AA MLEErie SeaWolves — 410378 661337 211686 67 175230280510 106276 415 225 38 — — — — — —
202525 AA MLEErie SeaWolves — 9080 11701 8272 10 138233263496 125199 309 225 38 — — — — — —
202222 A MLE2 teams — 488438 811026 411775 61 185262258520 73290 368 236 46 — — — — — —
202222 A RAW2 teams — 488420 1041638 591275 61 248347357704 110332 2612 321 46 — — — — — —
202323 A+ MLE2 teams — 538479 10126216 461708 51 211291374665 163285 329 291 83 — — — — — —
202323 A+ RAW2 teams — 538459 11632319 661358 51 253356460816 207313 2512 360 83 — — — — — —
202424 AA MLEErie SeaWolves — 410378 661337 211686 67 175230280510 106284 415 225 38 — — — — — —
202424 AA RAWErie SeaWolves — 410366 751739 331396 67 205281342623 137296 348 279 38 — — — — — —
202525 AA MLEErie SeaWolves — 9080 11701 8272 10 138233263496 125192 309 225 38 — — — — — —
202525 AA RAWErie SeaWolves — 9076 13901 12232 10 171300329629 158231 2613 291 38 — — — — — —
202222 A MLE2 teams — 488439 811026 411775 61 185262257520 73285 368 236 46 — — — — — —
202323 A+ MLE2 teams — 538479 10126216 461708 51 211291374665 163277 329 291 83 — — — — — —
202424 AA MLEErie SeaWolves — 410380 661337 211686 67 174230279509 105276 415 225 38 — — — — — —
202525 AA MLEErie SeaWolves — 9080 11701 8272 10 138233263496 125199 309 225 38 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202424 AA MLEErie SeaWolves — 410380 661337 211686 67 174230279509 105276 415 225 38 — — — — — —
202525 AA MLEErie SeaWolves — 9080 11701 8272 10 138233263496 125199 309 225 38 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202727 MLB MLEDET 2% 200181 38815 15592 31 211281346627 135281 308 282 77 -6 +0 +0 -2 +4 -0.1
▸ 2027 — real world (MLB)
202727 MLB CTXDET 2% 22 0000 010 00 207278338615 131276 500 277 77 -0 +0 +0 -0 +0 -0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202828 MLB MLEDET 27% 128115 24513 10372 21 211281344625 134280 298 281 76 -4 +0 -1 -1 +3 -0.3
202828 MLB CTXDET 27% 3431 6101 3100 00 207277336613 129275 299 276 76 -1 +0 -0 -0 +1 -0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 3431 6101 3100 00 194265323587 129250 299 276 59 -1 +0 -0 -0 +1 -0.1
/ 162G— A+C — 650593 11419019 571910 00 192263320583 128248 299 276 59 -18 +0 -4 -7 +14 -1.5
Career— MLE — 17381567 29864835 13260424 2110 190263308572 118279 358 255 59 -6 +0 -1 -2 +5 -0.4
/ 162G— MLE — 650586 11124313 492269 84 189262307570 118278 358 255 59 -18 +1 -2 -7 +14 -1.3

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 AAErie SeaWolves · 90 PAwOBA .284 → .225 (−59)K% 25.6% → 30.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.56%÷1.035×1.220——30.11%
BB% (unintentional) /PA13.33%÷0.996×0.700—×0.9889.26%
HBP% /PA2.22%—×0.850—×0.9881.87%
Singles /BIP5.66%÷0.981×0.970×1.035×0.9885.72%
Doubles /BIP16.98%÷1.075×0.860×1.035×0.98813.89%
Triples /BIP0.00%÷1.115×0.950×1.035×0.9880.00%
Home runs /BIP1.89%÷1.056×0.780—×0.9881.38%

Factors used: league row EL. Park (home-season share, regressed): HR 111, 1B 96, 2B 115, 3B 123, K 107, BB 99 — 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 ×1.035.

Result: wOBA .284 → .225; ISO .158 → .125; BABIP .231 → .199. 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 AAErie SeaWolves · 410 PAwOBA .275 → .225 (−50)K% 33.9% → 41.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA33.90%÷1.009×1.220——40.99%
BB% (unintentional) /PA8.05%÷1.086×0.700—×0.9985.18%
HBP% /PA1.46%—×0.850—×0.9981.24%
Singles /BIP20.26%÷0.992×0.970×1.000×0.99819.78%
Doubles /BIP7.49%÷1.036×0.860×1.000×0.9986.21%
Triples /BIP1.32%÷0.945×0.950×1.000×0.9981.33%
Home runs /BIP3.96%÷0.941×0.780—×0.9983.28%

Factors used: league row EL. Park (home-season share, regressed): HR 88, 1B 98, 2B 107, 3B 89, K 102, BB 117 — 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 ×1.000.

Result: wOBA .275 → .225; ISO .137 → .110; BABIP .296 → .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).

2023 A+West Michigan Whitecaps · 503 PAwOBA .362 → .299 (−63)K% 24.5% → 30.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.45%÷1.007×1.270——30.85%
BB% (unintentional) /PA12.13%÷0.993×0.710—×0.9888.57%
HBP% /PA1.59%—×0.790—×0.9881.24%
Singles /BIP20.00%÷0.989×0.920×1.014×0.98818.64%
Doubles /BIP9.84%÷0.985×0.810×1.014×0.9888.10%
Triples /BIP0.98%÷1.150×0.850×1.014×0.9880.73%
Home runs /BIP5.90%÷0.882×0.800—×0.9885.29%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 76, 1B 98, 2B 97, 3B 130, K 101, BB 99 — 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 ×1.014.

Result: wOBA .362 → .299; ISO .210 → .177; BABIP .322 → .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).

2023 AAErie SeaWolves · 35 PAwOBA .232 → .172 (−61)K% 34.3% → 44.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA34.29%÷0.944×1.220——44.33%
BB% (unintentional) /PA11.43%÷1.063×0.700—×1.0127.62%
HBP% /PA0.00%—×0.850—×1.0120.00%
Singles /BIP5.26%÷1.002×0.970—×1.0125.16%
Doubles /BIP10.53%÷0.924×0.860—×1.0129.92%
Triples /BIP0.00%÷1.145×0.950—×1.0120.00%
Home runs /BIP5.26%÷1.055×0.780—×1.0123.94%

Factors used: league row EL. Park (home-season share, regressed): HR 111, 1B 100, 2B 85, 3B 129, K 89, BB 113 — 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).

Result: wOBA .232 → .172; ISO .161 → .118; BABIP .167 → .157. 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 AJupiter Hammerheads · 450 PAwOBA .321 → .239 (−82)K% 26.2% → 36.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.22%÷0.967×1.360——36.89%
BB% (unintentional) /PA12.22%÷0.978×0.690—×0.9908.54%
HBP% /PA1.11%—×0.780—×0.9900.86%
Singles /BIP26.49%÷1.004×0.920×0.989×0.99023.77%
Doubles /BIP5.97%÷1.156×0.830×0.989×0.9904.20%
Triples /BIP0.75%÷1.150×0.910×0.989×0.9900.58%
Home runs /BIP2.99%÷0.959×0.800—×0.9902.47%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 92, 1B 101, 2B 131, 3B 130, K 93, BB 96 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.989.

Result: wOBA .321 → .239; ISO .114 → .080; BABIP .337 → .288. 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 A+Beloit Sky Carp · 38 PAwOBA .253 → .204 (−49)K% 23.7% → 29.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.68%÷1.011×1.270——29.76%
BB% (unintentional) /PA10.53%÷0.983×0.710—×0.9987.58%
HBP% /PA0.00%—×0.790—×0.9980.00%
Singles /BIP24.00%÷1.010×0.920—×0.99821.82%
Doubles /BIP0.00%÷0.950×0.810—×0.9980.00%
Triples /BIP4.00%÷1.068×0.850—×0.9983.18%
Home runs /BIP0.00%÷0.885×0.800—×0.9980.00%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 77, 1B 102, 2B 90, 3B 114, K 102, BB 97 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average).

Result: wOBA .253 → .204; ISO .059 → .044; BABIP .280 → .250. 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).