Only 2 games in this filter — thin evidence, treat with care.
Projection
0.5+0.0 · line-ball
0.5 baseline — his last 10 games; only 2 this season, too few to blend
+0.0 opponent leak — they concede 38/game vs a 35.7 league average
at this ground: too thin to count (3 gm) — shown, adds nothing
vs them: averages 0.0 over 2 games — evidence, never summed
Signalsopponent ▲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. Round 22: 2 — 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
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 Gabba0.7(3)+0.2
Everywhere else0.5(8)
Only 3 games at this ground — thin evidence.
Wet vs dry · Clearances
Wet games (≥1mm)—(0)
Dry games0.5(11)
Only 0 wet games on record — thin evidence.
Similar players vs GCS · Clearances
Avg diff
-0.5
Avg diff %
-29%
Hit rate
1/8
beat their own average
DateTeamPlayerAvgResultDiff
08-02MELKoltyn Tholstrup1.51-33%
08-02MELTrent Rivers1.81-44%
08-02MELJacob van Rooyen1.92+7%
08-02MELHarry Sharp1.71-42%
08-02MELHarvey Langford1.91-47%
08-02MELHarry Petty1.010%
08-02MELEd Langdon1.41-28%
07-25CARBen Ainsworth1.81-43%
Similar = season average within ±1.5 of Shadeau's. Computed from this app's own records.