0.6 baseline — 0.6 × season 0.6 (9 gm) + 0.4 × last 10 0.6
−0.1 opponent leak — they concede 10.3/game vs a 12.2 league average
wet forecast: too thin to count (2 gm) — shown, adds nothing
vs them: averages 0.3 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
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.
GWS concede · Marks Inside 50
10.3per game · league avg 12.2
#15 of 18 most conceded
Stingy against this stat — the over fights uphill.
Venue split · Marks Inside 50
At Manuka Oval—(0)
Everywhere else0.3(43)
Only 0 games at this ground — thin evidence.
Wet vs dry · Marks Inside 50
Wet games (≥1mm)0.0(2)-0.3
Dry games0.3(41)
Only 2 wet games on record — thin evidence.
Similar players vs GWS · Marks Inside 50
Avg diff
-0.4
Avg diff %
-22%
Hit rate
0/8
beat their own average
DateTeamPlayerAvgResultDiff
08-01PORMitch Zadow1.51-33%
08-01PORMiles Bergman1.010%
08-01PORTodd Marshall2.01-50%
08-01POROllie Wines1.11-11%
07-25SYDJames Jordon1.010%
07-25SYDJake Lloyd1.51-35%
07-25SYDHayden McLean2.01-50%
07-25SYDNick Blakey1.010%
Similar = season average within ±1.5 of Sam's. Computed from this app's own records.