0.5 baseline — 0.6 × season 0.5 (13 gm) + 0.4 × last 10 0.5
−0.0 opponent leak — they concede 33.9/game vs a 35.7 league average
−0.3 at this ground — averages 0.2 there (18 gm)
vs them: averages 0.2 over 12 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.
ESS concede · Clearances
33.9per game · league avg 35.7
#14 of 18 most conceded
Stingy against this stat — the over fights uphill.
Venue split · Clearances
At M.C.G.0.2(18)-0.1
Everywhere else0.3(129)
Since 2024, all stats real.
Wet vs dry · Clearances
Wet games (≥1mm)0.5(6)+0.3
Dry games0.2(141)
Weather backfilled from station data at each venue.
Similar players vs ESS · Clearances
Avg diff
+0.3
Avg diff %
+15%
Hit rate
4/8
beat their own average
DateTeamPlayerAvgResultDiff
08-02ADEJosh Worrell1.11-10%
08-02ADEZac Taylor1.61-38%
08-02ADEBrayden Cook1.72+18%
08-02ADERiley Thilthorpe1.81-44%
08-02ADEHugo Hall-Kahan1.82+11%
08-02ADEOscar Ryan1.010%
08-02ADEDaniel Curtin1.95+161%
07-25HAWMassimo DAmbrosio1.72+20%
Similar = season average within ±1.5 of Dane's. Computed from this app's own records.