0.4 baseline — 0.6 × season 0.5 (4 gm) + 0.4 × last 10 0.3
−0.0 opponent leak — they concede 33.9/game vs a 35.7 league average
at this ground: too thin to count (1 gm) — shown, adds nothing
SignalsL10 form ·opponent ▼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.
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.0.0(1)-0.5
Everywhere else0.5(11)
Only 1 game at this ground — thin evidence.
Wet vs dry · Clearances
Wet games (≥1mm)0.0(1)-0.5
Dry games0.5(11)
Only 1 wet game on record — thin evidence.
Similar players vs ESS · Clearances
Avg diff
+0.3
Avg diff %
+12%
Hit rate
3/8
beat their own average
DateTeamPlayerAvgResultDiff
08-02ADEHugo Hall-Kahan1.82+11%
08-02ADEOscar Ryan1.010%
08-02ADEBrayden Cook1.72+18%
08-02ADEBilly Dowling2.020%
08-02ADEJosh Worrell1.11-10%
08-02ADERiley Thilthorpe1.81-44%
08-02ADEDaniel Curtin1.95+161%
08-02ADEZac Taylor1.61-38%
Similar = season average within ±1.5 of Tom's. Computed from this app's own records.