0.2 baseline — 0.6 × season 0.1 (20 gm) + 0.4 × last 10 0.3
−0.0 opponent leak — they concede 11.9/game vs a 12.8 league average
−0.0 at this ground — averages 0.2 there (50 gm)
vs them: averages 0.3 over 9 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.
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.
HAW concede · Goals
11.9per game · league avg 12.8
#14 of 18 most conceded
Stingy against this stat — the over fights uphill.
Venue split · Goals
At Gabba0.2(50)-0.3
Everywhere else0.4(121)
Since 2024, all stats real.
Wet vs dry · Goals
Wet games (≥1mm)0.2(10)-0.1
Dry games0.3(161)
Weather backfilled from station data at each venue.
Similar players vs HAW · Goals
Avg diff
-0.0
Avg diff %
0%
Hit rate
1/8
beat their own average
DateTeamPlayerAvgResultDiff
08-01NORColby McKercher1.21-17%
08-01NORHarry Sheezel1.12+82%
08-01NORZac Banch1.010%
08-01NORDylan Stephens1.010%
07-19RICMykelti Lefau1.51-33%
07-19RICTom Brown1.010%
07-19RICPatrick Retschko1.010%
07-19RICSam Lalor1.41-31%
Similar = season average within ±1.5 of Josh's. Computed from this app's own records.