6.7 baseline — 0.6 × season 6.6 (19 gm) + 0.4 × last 10 6.8
−0.5 opponent leak — they concede 87/game vs a 93.4 league average
−3.2 at this ground — averages 3.5 there (4 gm)
wet forecast: too thin to count (1 gm) — shown, adds nothing
vs them: averages 3.0 over 4 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 Oval3.5(4)-1.6
Everywhere else5.1(36)
Since 2024, all stats real.
Wet vs dry · Marks
Wet games (≥1mm)9.0(1)+4.2
Dry games4.8(39)
Only 1 wet game on record — thin evidence.
Similar players vs GCS · Marks
Avg diff
+1.5
Avg diff %
+29%
Hit rate
6/8
beat their own average
DateTeamPlayerAvgResultDiff
08-02MELChangkuoth Jiath5.66+7%
08-02MELTom McDonald5.66+8%
08-02MELEd Langdon5.84-30%
08-02MELTrent Rivers5.39+70%
08-02MELJake Lever7.16-16%
07-25CARBilly Wilson5.310+90%
07-25CARAdam Cerra5.26+16%
07-25CARLachlan Cowan5.310+88%
Similar = season average within ±1.5 of Joe's. Computed from this app's own records.