Justice Bigbie

OF Erie SeaWolves
Age 28 R/R 6'2" / 200 lbs AA HR -8% Svc 0.0 · Ctrl thru 2035
Overview
AAPROSPECTMiLBFA 2036
OGV OFP35OGV rank#2310MLB%2%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202425AAADET558.248/.336/.3344861—.217/.284/.294
202526AADET452.283/.362/.41412187—.261/.317/.357
202627AAA/AADET507.311/.392/.41989103—.294/.354/.381
2027PROJMLE28MLBDET3.257/.317/.34500920.0
2028PROJ23% MLB29MLBDET90.254/.315/.34211900.0
2029PROJ35% MLB30MLBDET81.250/.311/.3371088-0.1
Next 3 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2035Service0.0First FA2036
2027MiLB2028MiLB2029MiLB2030Ext$0.8M2031Ext$0.9M2032Ext$0.9M2033Ext$3M2034Ext$5M+1
Skills · percentileMiLB Statcast 2026 AAA
Whiff%94
K%93
Z-Con%93
Max EV70
Chase%60
BB%45
Career WAR0.0 WAR median (P10 -0.3 / P90 0.0, comp-based) · star 0% · didn't stick 98%
CompsJantzen Witte (age 28) · Taylor Davis (age 28) · Ray Chang (age 28)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†92
AVG/OBP/SLG.257 / .317 / .345
PA3
HR0
K%33
BB%7
BABIP309
ISO85
MLB%2%
Value2027 · WAR
BAT: -1.5 runs (wOBA-derived runs vs avg)-2BATRUN: -0.0 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.9 runs (Positional adjustment)-1POSREP: +3.4 runs (Replacement-level credit)+3REPTotal WAR: +0.20+0.2WAR
trajectory · projected WAR by year
0.20.0-0.1272829
Tools · ContractCON 55 / POW 40
Toolsscout grade
CONTACT55
scouting grade only
POWER40
scouting grade only
EYE45
scouting grade only
SPEED40
scouting grade only
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
2029MiLBstill in minors · estimated debut 2030
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)
202122 ROKFCL Tigers West — 11899 25412 17251 00 253368374741 121315 2114 337 48 — — — — — —
202223 A+West Michigan Whitecaps — 3431 12401 261 01 3874416131.054 226458 186 461 144 — — — — — —
202223 ALakeland Flying Tigers — 372330 851752 288913 42 258340358697 100346 248 318 53 — — — — — —
202324 AAAToledo Mud Hens — 5851 14301 5151 00 275351392743 118361 269 331 80 — — — — — —
202324 AAErie SeaWolves — 272243 8813012 22344 51 362422564986 202382 128 430 145 — — — — — —
202324 A+West Michigan Whitecaps — 155138 46916 15281 11 333403543946 210381 1810 413 116 — — — — — —
202324 INTLSalt River Rafters — 8372 21301 10100 22 292378375753 83323 1212 341 117 — — — — — —
202425 AAAToledo Mud Hens — 558488 1212624 601045 85 248336334670 86304 1911 306 61 — — — — — —
202526 AAErie SeaWolves — 452399 11316012 47692 12 283362414775 130314 1510 347 87 — — — — — —
202627 AAAToledo Mud Hens — 129115 29401 13150 11 252328313641 61283 1210 295 60 — — — — — —
202627 AAErie SeaWolves — 378329 1091817 39607 83 331413456869 125385 1610 388 118 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202122 ROK MLEFCL Tigers West — 118107 21312 9361 00 196265299564 103255 318 239 48 — — — — — —
202223 A+ MLEWest Michigan Whitecaps — 3432 11401 181 01 344382562945 219413 243 381 144 — — — — — —
202223 A MLELakeland Flying Tigers — 372339 701341 1912313 42 206275277552 71315 335 246 53 — — — — — —
202324 AAA MLEToledo Mud Hens — 5852 13201 4181 00 250316346662 96341 317 286 80 — — — — — —
202324 AA MLEErie SeaWolves — 272251 861309 15444 51 343389502891 159381 166 383 145 — — — — — —
202324 A+ MLEWest Michigan Whitecaps — 155143 40715 10351 11 280331448779 168333 236 339 116 — — — — — —
202425 AAA MLEToledo Mud Hens — 558506 1102324 421225 85 217284294578 77272 228 258 61 — — — — — —
202526 AA MLEErie SeaWolves — 452414 1081309 32812 12 261317357674 97297 187 297 87 — — — — — —
202627 AAA MLEToledo Mud Hens — 129119 29401 9180 11 244297303599 59272 147 257 60 — — — — — —
202627 AA MLEErie SeaWolves — 378341 1061615 27737 83 311373408781 97373 197 343 118 — — — — — —
202122 ROK MLEFCL Tigers West — 118107 21312 9361 00 196265299564 103271 318 239 48 — — — — — —
202122 ROK RAWFCL Tigers West — 11899 25412 17251 00 253368374741 121315 2114 337 48 — — — — — —
202223 A MLE2 teams — 406370 811742 2113114 43 219286303589 84332 325 257 60 — — — — — —
202223 A RAW2 teams — 406361 972153 309514 43 269348380728 111356 237 330 60 — — — — — —
202324 AA MLE4 teams — 568524 16426118 331146 84 313361469830 156368 206 357 128 — — — — — —
202324 AA RAW4 teams — 568504 16928120 52876 84 335403514917 179371 159 402 128 — — — — — —
202425 AAA MLEToledo Mud Hens — 558506 1102324 421225 85 217284294578 77275 228 258 61 — — — — — —
202425 AAA RAWToledo Mud Hens — 558488 1212624 601045 85 248336334670 86304 1911 306 61 — — — — — —
202526 AA MLEErie SeaWolves — 452414 1081309 32812 12 261317357674 97302 187 297 87 — — — — — —
202526 AA RAWErie SeaWolves — 452399 11316012 47692 12 283362414775 130314 1510 347 87 — — — — — —
202627 AA MLE2 teams — 507460 1352016 36917 94 293354380734 87352 187 321 103 — — — — — —
202627 AA RAW2 teams — 507444 1382218 52757 94 311392419811 108357 1510 364 103 — — — — — —
202122 ROK MLEFCL Tigers West — 118107 21312 9361 00 196265299564 103255 318 239 48 — — — — — —
202223 A MLE2 teams — 406368 811742 2113114 43 220286304591 84323 325 257 60 — — — — — —
202324 AA MLE4 teams — 568524 16426118 331146 84 313361469830 156361 206 357 128 — — — — — —
202425 AAA MLEToledo Mud Hens — 558506 1102324 421225 85 217284294578 77272 228 258 61 — — — — — —
202526 AA MLEErie SeaWolves — 452415 1081309 32812 12 260317357674 96297 187 297 87 — — — — — —
202627 AA MLE2 teams — 507459 1352016 36917 94 294354381735 87347 187 321 103 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202425 AAA MLEToledo Mud Hens — 558506 1102324 421225 85 217284294578 77272 228 258 61 — — — — — —
202526 AA MLEErie SeaWolves — 452415 1081309 32812 12 260317357674 96297 187 297 87 — — — — — —
202627 AA MLE2 teams — 507459 1352016 36917 94 294354381735 87347 187 321 103 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202728 MLB MLEDET 2% 380347 901415 27733 42 261321352674 91314 197 304 92 -4 +0 +0 -2 +8 0.2
▸ 2027 — real world (MLB)
202728 MLB CTXDET 2% 33 1000 010 00 257317345663 88309 330 299 92 -0 +0 +0 -0 +0 0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202829 MLB MLEDET 23% 397362 931515 29773 32 258318349667 91312 197 301 90 -5 -0 -1 -2 +9 -0.0
202930 MLB MLEDET 35% 232211 53803 17462 11 254315344659 90309 207 298 88 -3 -0 -2 -1 +5 -0.2
202829 MLB CTXDET 23% 9083 20301 6181 10 254315342656 88307 207 297 90 -1 +0 -0 -1 +2 0.0
202930 MLB CTXDET 35% 8174 18301 6161 00 250311337648 87304 207 293 88 -1 +0 -1 -0 +2 -0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 171157 38602 12342 10 242304318623 76298 207 295 88 -2 +0 -1 -1 +4 -0.0
/ 162G— A+C — 650597 1452308 461298 40 243306322628 79298 207 295 88 -9 +1 -4 -4 +14 -0.2
Career— MLE — 33933096 8021311051 23072841 3622 259319357676 98321 217 298 88 -10 -0 -3 -5 +17 -0.1
/ 162G— MLE — 650593 15425210 441398 74 260319359679 99321 217 298 88 -8 -0 -3 -4 +14 -0.1

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 AAErie SeaWolves · 378 PAwOBA .381 → .343 (−38)K% 15.9% → 19.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.87%÷1.000×1.220——19.37%
BB% (unintentional) /PA10.32%÷1.000×0.700—×0.9787.06%
HBP% /PA1.85%—×0.850—×0.9781.54%
Singles /BIP30.86%÷1.000×0.970×1.050×0.97830.73%
Doubles /BIP6.69%÷1.000×0.860×1.050×0.9785.91%
Triples /BIP0.37%÷1.000×0.950×1.050×0.9780.36%
Home runs /BIP2.60%÷1.000×0.780—×0.9781.99%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.050.

Result: wOBA .381 → .343; ISO .125 → .104; BABIP .385 → .373. 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).

2026 AAAToledo Mud Hens · 129 PAwOBA .287 → .257 (−30)K% 11.6% → 14.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.63%÷1.000×1.200——13.95%
BB% (unintentional) /PA10.08%÷1.000×0.690—×1.0036.97%
HBP% /PA0.00%—×0.940—×1.0030.00%
Singles /BIP24.00%÷1.000×0.930×1.050×1.00323.51%
Doubles /BIP4.00%÷1.000×0.830×1.050×1.0033.50%
Triples /BIP0.00%÷1.000×0.970×1.050×1.0030.00%
Home runs /BIP1.00%÷1.000×0.700—×1.0030.70%

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 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 .287 → .257; ISO .061 → .050; BABIP .283 → .272. 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 AAErie SeaWolves · 452 PAwOBA .340 → .297 (−43)K% 15.3% → 18.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.27%÷1.035×1.220——17.99%
BB% (unintentional) /PA10.18%÷0.996×0.700—×0.9887.07%
HBP% /PA0.44%—×0.850—×0.9880.37%
Singles /BIP25.76%÷0.981×0.970×1.009×0.98825.38%
Doubles /BIP4.85%÷1.075×0.860×1.009×0.9883.87%
Triples /BIP0.00%÷1.115×0.950×1.009×0.9880.00%
Home runs /BIP3.64%÷1.056×0.780—×0.9882.65%

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 ×1.009.

Result: wOBA .340 → .297; ISO .130 → .100; BABIP .314 → .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).

2024 AAAToledo Mud Hens · 558 PAwOBA .302 → .258 (−43)K% 18.6% → 21.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.64%÷1.022×1.200——21.89%
BB% (unintentional) /PA10.75%÷1.016×0.690—×1.0337.55%
HBP% /PA0.90%—×0.940—×1.0330.87%
Singles /BIP23.18%÷1.117×0.930×1.050×1.03320.93%
Doubles /BIP6.77%÷1.049×0.830×1.050×1.0335.81%
Triples /BIP0.52%÷1.070×0.970×1.050×1.0330.51%
Home runs /BIP1.04%÷0.792×0.700—×1.0330.95%

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 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .302 → .258; ISO .086 → .077; BABIP .304 → .272. 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 · 272 PAwOBA .421 → .383 (−39)K% 12.5% → 16.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.50%÷0.944×1.220——16.16%
BB% (unintentional) /PA8.09%÷1.063×0.700—×1.0125.39%
HBP% /PA1.47%—×0.850—×1.0121.26%
Singles /BIP30.14%÷1.002×0.970×1.039×1.01230.69%
Doubles /BIP6.22%÷0.924×0.860×1.039×1.0126.09%
Triples /BIP0.00%÷1.145×0.950×1.039×1.0120.00%
Home runs /BIP5.74%÷1.055×0.780—×1.0124.30%

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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.039.

Result: wOBA .421 → .383; ISO .202 → .164; BABIP .382 → .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).

2023 A+West Michigan Whitecaps · 155 PAwOBA .402 → .339 (−63)K% 18.1% → 22.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.06%÷1.007×1.270——22.79%
BB% (unintentional) /PA9.03%÷0.993×0.710—×0.9886.38%
HBP% /PA0.65%—×0.790—×0.9880.50%
Singles /BIP27.27%÷0.989×0.920×0.989×0.98824.78%
Doubles /BIP8.18%÷0.985×0.810×0.989×0.9886.57%
Triples /BIP0.91%÷1.150×0.850×0.989×0.9880.66%
Home runs /BIP5.45%÷0.882×0.800—×0.9884.89%

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 ×0.989.

Result: wOBA .402 → .339; ISO .210 → .178; BABIP .381 → .333. 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 AAAToledo Mud Hens · 58 PAwOBA .328 → .286 (−43)K% 25.9% → 31.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.86%÷0.995×1.200——31.18%
BB% (unintentional) /PA8.62%÷1.006×0.690—×1.0486.20%
HBP% /PA1.72%—×0.940—×1.0481.70%
Singles /BIP27.78%÷0.965×0.930—×1.04828.06%
Doubles /BIP8.33%÷1.156×0.830—×1.0486.27%
Triples /BIP0.00%÷1.150×0.970—×1.0480.00%
Home runs /BIP2.78%÷0.901×0.700—×1.0482.26%

Factors used: league row International League. Park (home-season share, regressed): HR 80, 1B 93, 2B 131, 3B 130, K 99, BB 101 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average).

Result: wOBA .328 → .286; ISO .118 → .090; BABIP .361 → .341. 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 ALakeland Flying Tigers · 372 PAwOBA .311 → .246 (−65)K% 23.9% → 33.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.92%÷0.982×1.360——33.14%
BB% (unintentional) /PA7.53%÷0.998×0.690—×0.9905.15%
HBP% /PA3.49%—×0.780—×0.9902.70%
Singles /BIP25.31%÷1.009×0.920×1.028×0.99023.49%
Doubles /BIP7.05%÷0.974×0.830×1.028×0.9906.12%
Triples /BIP2.07%÷1.039×0.910×1.028×0.9901.85%
Home runs /BIP0.83%÷1.279×0.800—×0.9900.51%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 156, 1B 102, 2B 95, 3B 108, K 96, BB 100 — 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 ×1.028.

Result: wOBA .311 → .246; ISO .100 → .076; BABIP .346 → .315. 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 — .