0.1 baseline — 0.6 × season 0.2 (12 gm) + 0.4 × last 10 0.1
+0.0 opponent leak — they concede 13.2/game vs a 12.8 league average
at this ground: too thin to count (1 gm) — shown, adds nothing
−0.0 wet forecast — averages 0.1 in the wet (9 gm)
vs them: averages 0.1 over 8 games — evidence, never summed
SignalsL10 form ▼opponent ▲wet ▼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. Round 1: 1 — far outside his usual range; kept in the average, not smoothed away. Round 15: 1 — far outside his usual range; kept in the average, not smoothed away.
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.
GWS concede · Goals
13.2per game · league avg 12.8
#8 of 18 most conceded
Middle of the road matchup.
Venue split · Goals
At Manuka Oval0.0(1)-0.2
Everywhere else0.2(136)
Only 1 game at this ground — thin evidence.
Wet vs dry · Goals
Wet games (≥1mm)0.1(9)-0.1
Dry games0.2(128)
Weather backfilled from station data at each venue.
Similar players vs GWS · Goals
Avg diff
-0.0
Avg diff %
-2%
Hit rate
1/8
beat their own average
DateTeamPlayerAvgResultDiff
08-01PORTodd Marshall1.52+33%
08-01PORMiles Bergman1.010%
08-01PORMitch Zadow1.71-40%
08-01PORXavier Bamert1.010%
07-25SYDBraeden Campbell1.010%
07-25SYDJai Serong1.010%
07-25SYDBrodie Grundy1.11-11%
07-25SYDNick Blakey1.010%
Similar = season average within ±1.5 of Jarrod's. Computed from this app's own records.