4.0 baseline — 0.6 × season 4.1 (15 gm) + 0.4 × last 10 4.0
+0.3 opponent leak — they concede 38/game vs a 35.7 league average
+1.0 at this ground — averages 5 there (8 gm)
wet forecast: too thin to count (2 gm) — shown, adds nothing
vs them: averages 4.0 over 5 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 Oval5.0(8)
Everywhere else5.0(77)
Since 2024, all stats real.
Wet vs dry · Clearances
Wet games (≥1mm)4.5(2)-0.5
Dry games5.0(83)
Only 2 wet games on record — thin evidence.
Similar players vs GCS · Clearances
Avg diff
-0.5
Avg diff %
-7%
Hit rate
3/8
beat their own average
DateTeamPlayerAvgResultDiff
08-02MELKysaiah Pickett4.62-56%
08-02MELJack Steele5.13-41%
08-02MELJoel Fitzgerald4.07+75%
07-25CARMarc Pittonet4.71-79%
07-25CARJagga Smith4.66+30%
07-25CARSam Walsh4.32-53%
07-25CARGeorge Hewett4.14-3%
07-19WBDTim English2.95+71%
Similar = season average within ±1.5 of Kieren's. Computed from this app's own records.