0.1 baseline — 0.6 × season 0.1 (17 gm) + 0.4 × last 10 0.0
−0.0 opponent leak — they concede 9.6/game vs a 12.2 league average
−0.1 at this ground — averages 0 there (10 gm)
vs them: averages 0.0 over 1 game — evidence, never summed
SignalsL10 form ▼opponent ▼venue ▼projection ▼
Most signals here point under while you're on the over — worth reading the working above before you commit.
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 Inside 50
9.6per game · league avg 12.2
#17 of 18 most conceded
Stingy against this stat — the over fights uphill.
Venue split · Marks Inside 50
At M.C.G.0.0(10)-0.1
Everywhere else0.1(18)
Since 2024, all stats real.
Wet vs dry · Marks Inside 50
Wet games (≥1mm)0.0(4)-0.1
Dry games0.1(24)
Weather backfilled from station data at each venue.
Similar players vs SYD · Marks Inside 50
Avg diff
-0.2
Avg diff %
-14%
Hit rate
0/8
beat their own average
DateTeamPlayerAvgResultDiff
08-01STKNasiah Wanganeen-Milera1.31-22%
08-01STKHugo Garcia1.010%
08-01STKMax Hall1.31-20%
08-01STKBradley Hill1.010%
08-01STKAnthony Caminiti1.11-12%
08-01STKDarcy Wilson1.31-22%
07-25GWSHarvey Thomas1.010%
07-25GWSCallum Brown1.51-33%
Similar = season average within ±1.5 of Lachlan's. Computed from this app's own records.