0.1 baseline — 0.6 × season 0.1 (9 gm) + 0.4 × last 10 0.1
+0.0 opponent leak — they concede 38/game vs a 35.7 league average
−0.0 at this ground — averages 0.1 there (11 gm)
+0.1 wet forecast — averages 0.3 in the wet (4 gm)
vs them: averages 0.4 over 5 games — evidence, never summed
SignalsL10 form ▼opponent ▲venue ▼wet ▲projection ·
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.
GCS concede · Clearances
38.0per game · league avg 35.7
#5 of 18 most conceded
They leak this stat — friendly matchup for the over.
Venue split · Clearances
At Manuka Oval0.1(11)-0.1
Everywhere else0.2(83)
Since 2024, all stats real.
Wet vs dry · Clearances
Wet games (≥1mm)0.3(4)+0.1
Dry games0.1(90)
Weather backfilled from station data at each venue.
Similar players vs GCS · Clearances
Avg diff
-0.1
Avg diff %
-6%
Hit rate
1/8
beat their own average
DateTeamPlayerAvgResultDiff
08-02MELEd Langdon1.41-28%
08-02MELKoltyn Tholstrup1.51-33%
08-02MELHarry Petty1.010%
07-25CARLewis Young1.52+33%
07-25CARLachlan Cowan1.21-15%
07-25CARMatthew Cottrell1.010%
07-25CARFrancis Evans1.11-9%
07-19WBDBuku Khamis1.010%
Similar = season average within ±1.5 of Jack's. Computed from this app's own records.