1.6 baseline — 0.6 × season 1.6 (10 gm) + 0.4 × last 10 1.6
−0.1 opponent leak — they concede 22.6/game vs a 23.7 league average
−0.8 at this ground — averages 0.8 there (10 gm)
+0.8 wet forecast — averages 2.4 in the wet (5 gm)
vs them: averages 1.3 over 3 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. Round 1: 8 — far outside his usual range; kept in the average, not smoothed away.
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 · Points
22.6per game · league avg 23.7
#11 of 17 most conceded
Middle of the road matchup.
Venue split · Points
At GIO Stadium0.8(10)-0.5
Everywhere else1.3(12)
Since 2024, all stats real.
Wet vs dry · Points
Wet games (≥1mm)2.4(5)+1.7
Dry games0.7(17)
Weather backfilled from station data at each venue.
Similar players vs NEW · Points
Avg diff
+0.6
Avg diff %
+43%
Hit rate
3/8
beat their own average
DateTeamPlayerAvgResultDiff
08-09CBRMatthew Timoko1.40-100%
08-09CBRCorey Horsburgh0.40-100%
08-09CBRJed Stuart1.14+260%
08-09CBRSimi Sasagi2.08+300%
08-09CBRXavier Savage2.30-100%
08-09CBREthan Strange1.30-100%
08-09CBRKaeo Weekes2.10-100%
08-09CBRZac Hosking1.14+280%
Similar = season average within ±1.5 of Noah's. Computed from this app's own records.