5.9 baseline — 0.6 × season 6.2 (20 gm) + 0.4 × last 10 5.5
−0.3 opponent leak — they concede 88.8/game vs a 93.4 league average
wet forecast: too thin to count (3 gm) — shown, adds nothing
vs them: averages 6.6 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. Round 2: 16 — far outside his usual range; kept in the average, not smoothed away.
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.
GWS concede · Marks
88.8per game · league avg 93.4
#11 of 18 most conceded
Middle of the road matchup.
Venue split · Marks
At Manuka Oval—(0)
Everywhere else5.3(69)
Only 0 games at this ground — thin evidence.
Wet vs dry · Marks
Wet games (≥1mm)4.3(3)-1.0
Dry games5.3(66)
Only 3 wet games on record — thin evidence.
Similar players vs GWS · Marks
Avg diff
-0.3
Avg diff %
-7%
Hit rate
3/8
beat their own average
DateTeamPlayerAvgResultDiff
08-01PORMiles Bergman5.78+41%
08-01PORDarcy Byrne-Jones5.57+28%
08-01PORJason Horne-Francis5.17+39%
08-01PORJosh Lai5.45-8%
08-01PORMitch Georgiades6.76-11%
08-01PORJase Burgoyne5.14-21%
07-25SYDRiley Bice5.12-60%
07-25SYDJai Serong5.32-62%
Similar = season average within ±1.5 of Bodhi's. Computed from this app's own records.