1.9 baseline — 0.6 × season 1.9 (15 gm) + 0.4 × last 10 1.9
−0.3 opponent leak — they concede 10.3/game vs a 12.2 league average
wet forecast: too thin to count (3 gm) — shown, adds nothing
vs them: averages 0.7 over 3 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.
GWS concede · Marks Inside 50
10.3per game · league avg 12.2
#15 of 18 most conceded
Stingy against this stat — the over fights uphill.
Venue split · Marks Inside 50
At Manuka Oval—(0)
Everywhere else1.2(45)
Only 0 games at this ground — thin evidence.
Wet vs dry · Marks Inside 50
Wet games (≥1mm)0.3(3)-1.0
Dry games1.3(42)
Only 3 wet games on record — thin evidence.
Similar players vs GWS · Marks Inside 50
Avg diff
-0.1
Avg diff %
-8%
Hit rate
1/8
beat their own average
DateTeamPlayerAvgResultDiff
08-01PORMitch Zadow1.51-33%
08-01PORMiles Bergman1.010%
08-01PORTodd Marshall2.01-50%
08-01PORJason Horne-Francis2.22-7%
08-01POROllie Wines1.11-11%
07-25SYDNick Blakey1.010%
07-25SYDCharlie Curnow2.94+36%
07-25SYDLogan McDonald2.12-3%
Similar = season average within ±1.5 of Jed's. Computed from this app's own records.