1.3 baseline — 0.6 × season 1.5 (15 gm) + 0.4 × last 10 1.1
−0.1 opponent leak — they concede 87/game vs a 93.4 league average
−0.2 at this ground — averages 1.1 there (8 gm)
wet forecast: too thin to count (2 gm) — shown, adds nothing
vs them: averages 1.2 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
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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 · Marks
87.0per game · league avg 93.4
#13 of 18 most conceded
Stingy against this stat — the over fights uphill.
Venue split · Marks
At Manuka Oval1.1(8)-1.0
Everywhere else2.1(77)
Since 2024, all stats real.
Wet vs dry · Marks
Wet games (≥1mm)0.5(2)-1.6
Dry games2.1(83)
Only 2 wet games on record — thin evidence.
Similar players vs GCS · Marks
Avg diff
-0.1
Avg diff %
-6%
Hit rate
4/8
beat their own average
DateTeamPlayerAvgResultDiff
08-02MELJoel Fitzgerald2.33+31%
08-02MELPaddy Cross2.31-57%
08-02MELTom Sparrow2.94+38%
08-02MELCaleb Windsor2.52-20%
07-25CARFrancis Evans2.63+15%
07-25CARPatrick Cripps2.72-27%
07-25CARMarc Pittonet1.71-41%
07-19WBDLachlan McNeil2.63+14%
Similar = season average within ±1.5 of Kieren's. Computed from this app's own records.