0.1 baseline — 0.6 × season 0.1 (20 gm) + 0.4 × last 10 0.1
−0.0 opponent leak — they concede 9.1/game vs a 9.4 league average
−0.1 at this ground — averages 0 there (8 gm)
vs them: averages 0.0 over 8 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. Round 1: 1 — far outside his usual range; kept in the average, not smoothed away. Round 11: 1 — 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.
NOR concede · Goal Assists
9.1per game · league avg 9.4
#11 of 18 most conceded
Middle of the road matchup.
Venue split · Goal Assists
At Docklands0.0(8)-0.1
Everywhere else0.1(123)
Since 2024, all stats real.
Wet vs dry · Goal Assists
Wet games (≥1mm)0.3(8)+0.1
Dry games0.1(123)
Weather backfilled from station data at each venue.
Similar players vs NOR · Goal Assists
Avg diff
+0.1
Avg diff %
+11%
Hit rate
2/8
beat their own average
DateTeamPlayerAvgResultDiff
08-01HAWJosh Weddle1.12+75%
08-01HAWJai Newcombe1.21-13%
08-01HAWMabior Chol1.31-25%
08-01HAWAidan Schubert1.010%
08-01HAWMassimo DAmbrosio1.010%
08-01HAWLloyd Meek1.010%
07-26STKBradley Hill1.21-18%
07-26STKJack Higgins1.22+71%
Similar = season average within ±1.5 of Zach's. Computed from this app's own records.