16.3 baseline — 0.6 × season 16.1 (15 gm) + 0.4 × last 10 16.5
+1.6 opponent leak — they concede 598.3/game vs a 544.2 league average
−2.7 at this ground — averages 13.6 there (13 gm)
vs them: averages 16.0 over 7 games — evidence, never summed
SignalsL10 form ▼opponent ▲venue ▼projection ·
Most signals here point under while you're on the over — worth reading the working above before you commit.
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.
SGI concede · Post Contact Metres
598.3per game · league avg 544.2
#3 of 17 most conceded
They leak this stat — friendly matchup for the over.
Venue split · Post Contact Metres
At CommBank Stadium13.6(13)+0.2
Everywhere else13.4(110)
Since 2024, all stats real.
Wet vs dry · Post Contact Metres
Wet games (≥1mm)12.3(10)-1.2
Dry games13.5(113)
Weather backfilled from station data at each venue.
Similar players vs SGI · Post Contact Metres
Avg diff
+1.0
Avg diff %
+7%
Hit rate
4/8
beat their own average
DateTeamPlayerAvgResultDiff
07-31DOLKurt Donoghoe17.1170%
07-31DOLJeremy Marshall-King14.220+41%
07-31DOLFelise Kaufusi16.60-100%
07-26GLDJosh Patston16.936+113%
07-18WARTe Maire Martin15.911-31%
07-04WSTFaaletino Tavana17.34-77%
06-28CBREthan Strange14.318+26%
06-19NEWFrancis Manuleleua16.931+83%
Similar = season average within ±2.4 of Apisai's. Computed from this app's own records.