0.5 baseline — 0.6 × season 0.4 (20 gm) + 0.4 × last 10 0.6
−0.1 opponent leak — they concede 10.8/game vs a 12.2 league average
−0.1 at this ground — averages 0.4 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 · Marks Inside 50
10.8per game · league avg 12.2
#14 of 18 most conceded
Stingy against this stat — the over fights uphill.
Venue split · Marks Inside 50
At Gabba0.4(50)-0.1
Everywhere else0.5(121)
Since 2024, all stats real.
Wet vs dry · Marks Inside 50
Wet games (≥1mm)0.6(10)+0.2
Dry games0.4(161)
Weather backfilled from station data at each venue.
Similar players vs HAW · Marks Inside 50
Avg diff
+0.1
Avg diff %
+11%
Hit rate
3/8
beat their own average
DateTeamPlayerAvgResultDiff
08-01NORWil Dawson1.010%
08-01NORColby McKercher1.31-20%
08-01NORHarry Sheezel1.72+20%
08-01NORJack Darling1.82+10%
08-01NORBailey Scott1.010%
07-25ESSArchie Roberts1.010%
07-25ESSNik Cox1.010%
07-25ESSSam Durham1.12+75%
Similar = season average within ±1.5 of Josh's. Computed from this app's own records.