2.4 baseline — 0.6 × season 2.7 (20 gm) + 0.4 × last 10 2.0
−0.1 opponent leak — they concede 88.8/game vs a 93.4 league average
wet forecast: too thin to count (2 gm) — shown, adds nothing
vs them: averages 4.0 over 1 game — 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 9: 7 — far outside his usual range; kept in the average, not smoothed away.
Line Over Under
Tap a bar for full game detail · newest on the right
← PointsBet's price · type over it to use your own
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 else2.4(24)
Only 0 games at this ground — thin evidence.
Wet vs dry · Marks
Wet games (≥1mm)0.5(2)-2.1
Dry games2.6(22)
Only 2 wet games on record — thin evidence.
Similar players vs GWS · Marks
Avg diff
-0.5
Avg diff %
-14%
Hit rate
2/8
beat their own average
DateTeamPlayerAvgResultDiff
08-01PORJoe Berry3.33-8%
08-01PORCorey Durdin3.43-12%
08-01PORBalyn OBrien3.53-14%
08-01PORXavier Bamert3.94+3%
08-01PORChristian Moraes3.01-67%
08-01PORWillem Drew2.83+8%
08-01PORJack Watkins3.33-9%
08-01PORWill Lorenz3.53-14%
Similar = season average within ±1.5 of Leo's. Computed from this app's own records.