0.6 baseline — 0.6 × season 0.6 (9 gm) + 0.4 × last 10 0.7
+0.1 opponent leak — they concede 38.8/game vs a 35.7 league average
wet forecast: too thin to count (2 gm) — shown, adds nothing
vs them: averages 0.5 over 4 games — evidence, never summed
SignalsL10 form ▼opponent ▲projection ·
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.
GWS concede · Clearances
38.8per game · league avg 35.7
#2 of 18 most conceded
They leak this stat — friendly matchup for the over.
Venue split · Clearances
At Manuka Oval—(0)
Everywhere else1.0(43)
Only 0 games at this ground — thin evidence.
Wet vs dry · Clearances
Wet games (≥1mm)2.0(2)+1.1
Dry games0.9(41)
Only 2 wet games on record — thin evidence.
Similar players vs GWS · Clearances
Avg diff
+0.1
Avg diff %
+15%
Hit rate
4/8
beat their own average
DateTeamPlayerAvgResultDiff
08-01PORWill Lorenz2.01-50%
08-01PORBalyn OBrien1.010%
08-01PORMitch Georgiades1.32+50%
08-01PORCorey Durdin1.32+60%
08-01PORDarcy Byrne-Jones1.12+75%
08-01PORMiles Bergman1.92+8%
08-01PORDante Visentini1.41-27%
08-01PORMitch Zadow1.010%
Similar = season average within ±1.5 of Sam's. Computed from this app's own records.