Only 3 games in this filter — thin evidence, treat with care.
Projection
5.0−0.5 vs your line
4.8 baseline — his last 6 games; only 3 this season, too few to blend
+0.1 opponent leak — they concede 219.6/game vs a 213.6 league average
at this ground: too thin to count (2 gm) — shown, adds nothing
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.
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.
MEL concede · Kicks
219.6per game · league avg 213.6
#5 of 18 most conceded
They leak this stat — friendly matchup for the over.
Venue split · Kicks
At Adelaide Oval5.5(2)+1.0
Everywhere else4.5(4)
Only 2 games at this ground — thin evidence.
Wet vs dry · Kicks
Wet games (≥1mm)—(0)
Dry games4.8(6)
Only 0 wet games on record — thin evidence.
Similar players vs MEL · Kicks
Avg diff
-0.3
Avg diff %
-7%
Hit rate
3/8
beat their own average
DateTeamPlayerAvgResultDiff
08-02GCSBen King5.77+24%
08-02GCSNed Moyle5.24-23%
08-02GCSSam Collins7.23-58%
08-02GCSCharlie Ballard4.81-79%
08-02GCSLeo Lombard6.612+82%
08-02GCSBen Long6.45-22%
08-02GCSDylan Patterson4.44-9%
08-02GCSEthan Read5.37+31%
Similar = season average within ±1.5 of Tom's. Computed from this app's own records.