1.8 baseline — 0.6 × season 1.8 (14 gm) + 0.4 × last 10 1.8
+0.1 opponent leak — they concede 10/game vs a 9.7 league average
−0.1 at this ground — averages 1.7 there (55 gm)
−0.5 wet forecast — averages 1.3 in the wet (12 gm)
vs them: averages 0.7 over 10 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 · Offloads
10.0per game · league avg 9.7
#7 of 17 most conceded
Middle of the road matchup.
Venue split · Offloads
At GIO Stadium1.7(55)+0.5
Everywhere else1.2(70)
Since 2024, all stats real.
Wet vs dry · Offloads
Wet games (≥1mm)1.3(12)-0.1
Dry games1.4(113)
Weather backfilled from station data at each venue.
Similar players vs NEW · Offloads
Avg diff
-0.3
Avg diff %
-21%
Hit rate
2/8
beat their own average
DateTeamPlayerAvgResultDiff
08-09CBREthan Strange0.70-100%
08-09CBRJoseph Tapine1.60-100%
08-09CBRSimi Sasagi1.02+100%
08-09CBRMatthew Timoko1.21-15%
08-09CBREthan Sanders0.30-100%
08-09CBRCorey Horsburgh1.30-100%
08-09CBRKaeo Weekes0.62+250%
08-09CBRZac Hosking0.90-100%
Similar = season average within ±1.5 of Hudson's. Computed from this app's own records.