0.6 baseline — 0.6 × season 0.6 (20 gm) + 0.4 × last 10 0.5
+0.0 opponent leak — they concede 38.8/game vs a 35.7 league average
at this ground: too thin to count (1 gm) — shown, adds nothing
wet forecast: too thin to count (3 gm) — shown, adds nothing
vs them: averages 0.7 over 6 games — evidence, never summed
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 Oval0.0(1)-0.4
Everywhere else0.4(84)
Only 1 game at this ground — thin evidence.
Wet vs dry · Clearances
Wet games (≥1mm)1.0(3)+0.6
Dry games0.4(82)
Only 3 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%
08-01PORDante Visentini1.41-27%
08-01PORMiles Bergman1.92+8%
08-01PORBalyn OBrien1.010%
08-01PORCorey Durdin1.32+60%
08-01PORDarcy Byrne-Jones1.12+75%
08-01PORMitch Georgiades1.32+50%
08-01PORMitch Zadow1.010%
Similar = season average within ±1.5 of Mac's. Computed from this app's own records.