Only 3 games in this filter — thin evidence, treat with care.
Projection
1.6−0.9 vs your line
1.8 baseline — his last 6 games; only 3 this season, too few to blend
−0.2 opponent leak — they concede 83/game vs a 93.4 league average
at this ground: too thin to count (1 gm) — shown, adds nothing
vs them: averages 1.5 over 2 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.
SYD concede · Marks
83.0per game · league avg 93.4
#14 of 18 most conceded
Stingy against this stat — the over fights uphill.
Venue split · Marks
At S.C.G.2.0(1)+0.2
Everywhere else1.8(5)
Only 1 game at this ground — thin evidence.
Wet vs dry · Marks
Wet games (≥1mm)—(0)
Dry games1.8(6)
Only 0 wet games on record — thin evidence.
Similar players vs SYD · Marks
Avg diff
-0.9
Avg diff %
-31%
Hit rate
0/8
beat their own average
DateTeamPlayerAvgResultDiff
08-01STKCampbell Lake2.52-20%
08-01STKLiam Ryan2.62-24%
08-01STKTom De Koning3.22-38%
08-01STKHugo Garcia2.91-65%
08-01STKLiam OConnell3.32-39%
08-01STKMitch Owens3.22-38%
08-01STKAnthony Caminiti2.52-21%
08-01STKTobie Travaglia3.030%
Similar = season average within ±1.5 of Tom's. Computed from this app's own records.