15.3 baseline — 0.6 × season 13.6 (19 gm) + 0.4 × last 10 17.8
−0.4 opponent leak — they concede 335/game vs a 344.9 league average
−1.9 at this ground — averages 13.4 there (13 gm)
−11.1 wet forecast — averages 4.2 in the wet (6 gm)
vs them: averages 5.8 over 9 games — evidence, never summed
SignalsL10 form ▲opponent ▼venue ▼wet ▼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.
NEW concede · Tackles
335.0per game · league avg 344.9
#14 of 17 most conceded
Stingy against this stat — the over fights uphill.
Venue split · Tackles
At GIO Stadium13.4(13)+6.3
Everywhere else7.1(91)
Since 2024, all stats real.
Wet vs dry · Tackles
Wet games (≥1mm)4.2(6)-4.0
Dry games8.1(98)
Weather backfilled from station data at each venue.
Similar players vs NEW · Tackles
Avg diff
+1.0
Avg diff %
+10%
Hit rate
4/8
beat their own average
DateTeamPlayerAvgResultDiff
08-09CBRSimi Sasagi15.410-35%
08-09CBRMatty Nicholson13.30-100%
08-01BRIVa'a Semu13.132+145%
08-01BRIKotoni Staggs15.517+10%
08-01BRIAdam Reynolds15.11-93%
07-24SYDSam Walker15.315-2%
07-24SYDSpencer Leniu15.020+33%
07-24SYDEgan Butcher12.628+122%
Similar = season average within ±2.0 of Daine's. Computed from this app's own records.