3.3 baseline — 0.6 × season 3.4 (18 gm) + 0.4 × last 10 3.2
+0.2 opponent leak — they concede 38/game vs a 35.7 league average
−0.7 at this ground — averages 2.6 there (16 gm)
−1.3 wet forecast — averages 2 in the wet (8 gm)
vs them: averages 1.1 over 9 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.
GCS concede · Clearances
38.0per game · league avg 35.7
#5 of 18 most conceded
They leak this stat — friendly matchup for the over.
Venue split · Clearances
At Manuka Oval2.6(16)+0.7
Everywhere else1.9(137)
Since 2024, all stats real.
Wet vs dry · Clearances
Wet games (≥1mm)2.0(8)
Dry games2.0(145)
Weather backfilled from station data at each venue.
Similar players vs GCS · Clearances
Avg diff
-0.8
Avg diff %
-25%
Hit rate
2/8
beat their own average
DateTeamPlayerAvgResultDiff
08-02MELJoel Fitzgerald4.07+75%
08-02MELKysaiah Pickett4.62-56%
08-02MELCaleb Windsor2.21-55%
07-25CARJagga Smith4.66+30%
07-25CARAdam Cerra2.41-58%
07-25CARMarc Pittonet4.71-79%
07-25CARGeorge Hewett4.14-3%
07-25CARSam Walsh4.32-53%
Similar = season average within ±1.5 of Toby's. Computed from this app's own records.