Only 3 games in this filter — thin evidence, treat with care.
Projection
0.1−0.4 · line-ball
0.3 baseline — his last 10 games; only 3 this season, too few to blend
−0.0 opponent leak — they concede 11.8/game vs a 12.2 league average
−0.2 at this ground — averages 0.1 there (10 gm)
vs them: averages 0.0 over 3 games — evidence, never summed
Derived, not measured — plain arithmetic over his real games, shown in full. Adjustments can overlap (a game at this ground can also be a wet one); they add simply, and this note is the admission. Round 22: 2 — far outside his usual range; kept in the average, not smoothed away.
Line Over Under
Tap a bar for full game detail · newest on the right
Player percentile is among everyone with 5+ games this season. Opponent percentile is among the 18 clubs — p100 means they concede more of this stat than any other side.
WBD concede · Marks Inside 50
11.8per game · league avg 12.2
#13 of 18 most conceded
Stingy against this stat — the over fights uphill.
Venue split · Marks Inside 50
At Docklands0.1(10)
Everywhere else0.1(29)
Since 2024, all stats real.
Wet vs dry · Marks Inside 50
Wet games (≥1mm)0.0(1)-0.1
Dry games0.1(38)
Only 1 wet game on record — thin evidence.
Similar players vs WBD · Marks Inside 50
Avg diff
-0.1
Avg diff %
-12%
Hit rate
0/8
beat their own average
DateTeamPlayerAvgResultDiff
07-31FREIsaiah Dudley1.11-9%
07-31FRESam Switkowski1.21-18%
07-31FRECaleb Serong1.010%
07-25RICTim Taranto1.31-20%
07-25RICMykelti Lefau1.41-28%
07-19GCSLeo Lombard1.11-9%
07-19GCSMac Andrew1.010%
07-19GCSJoel Jeffrey1.21-14%
Similar = season average within ±1.5 of Campbell's. Computed from this app's own records.