0.5 baseline — 0.6 × season 0.5 (13 gm) + 0.4 × last 10 0.5
+0.0 opponent leak — they concede 33.7/game vs a 32.8 league average
−0.2 at this ground — averages 0.3 there (15 gm)
wet forecast: too thin to count (3 gm) — shown, adds nothing
vs them: averages 1.5 over 4 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 4: 4 — 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 · Tackle Breaks
33.7per game · league avg 32.8
#6 of 17 most conceded
Middle of the road matchup.
Venue split · Tackle Breaks
At GIO Stadium0.3(15)-0.1
Everywhere else0.4(47)
Since 2024, all stats real.
Wet vs dry · Tackle Breaks
Wet games (≥1mm)0.3(3)-0.1
Dry games0.4(59)
Only 3 wet games on record — thin evidence.
Similar players vs NEW · Tackle Breaks
Avg diff
-0.3
Avg diff %
-39%
Hit rate
2/8
beat their own average
DateTeamPlayerAvgResultDiff
08-09CBRZac Hosking0.82+153%
08-09CBRTom Starling0.80-100%
08-09CBREthan Sanders1.00-100%
08-09CBRCorey Horsburgh1.70-100%
08-09CBRAta Mariota1.11-12%
08-09CBRMorgan Smithies0.30-100%
08-09CBRJed Stuart1.32+50%
08-09CBROwen Pattie0.70-100%
Similar = season average within ±1.5 of Pasami's. Computed from this app's own records.