0.1 baseline — 0.6 × season 0.1 (17 gm) + 0.4 × last 10 0.1
−0.0 opponent leak — they concede 10.3/game vs a 12.2 league average
+0.3 wet forecast — averages 0.4 in the wet (16 gm)
vs them: averages 0.4 over 11 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(164)
Only 0 games at this ground — thin evidence.
Wet vs dry · Marks Inside 50
Wet games (≥1mm)0.4(16)+0.1
Dry games0.3(148)
Weather backfilled from station data at each venue.
Similar players vs GWS · Marks Inside 50
Avg diff
-0.0
Avg diff %
-1%
Hit rate
1/8
beat their own average
DateTeamPlayerAvgResultDiff
08-01POROllie Wines1.11-11%
08-01PORMiles Bergman1.010%
08-01PORMitch Zadow1.51-33%
07-25SYDBilly Cootee1.22+67%
07-25SYDJake Lloyd1.51-35%
07-25SYDNick Blakey1.010%
07-25SYDJames Jordon1.010%
07-25SYDJames Rowbottom1.010%
Similar = season average within ±1.5 of Daniel's. Computed from this app's own records.