Only 2 games in this filter — thin evidence, treat with care.
Projection
1.4−0.1 vs your line
1.7 baseline — his last 10 games; only 2 this season, too few to blend
−0.3 opponent leak — they concede 10.3/game vs a 12.2 league average
at this ground: too thin to count (1 gm) — shown, adds nothing
wet forecast: 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.
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 Oval0.0(1)-0.4
Everywhere else0.4(43)
Only 1 game at this ground — thin evidence.
Wet vs dry · Marks Inside 50
Wet games (≥1mm)0.0(1)-0.4
Dry games0.4(43)
Only 1 wet game on record — thin evidence.
Similar players vs GWS · Marks Inside 50
Avg diff
-0.3
Avg diff %
-17%
Hit rate
0/8
beat their own average
DateTeamPlayerAvgResultDiff
08-01POROllie Wines1.11-11%
08-01PORMiles Bergman1.010%
08-01PORJason Horne-Francis2.22-7%
08-01PORTodd Marshall2.01-50%
08-01PORMitch Zadow1.51-33%
07-25SYDJames Jordon1.010%
07-25SYDNick Blakey1.010%
07-25SYDJake Lloyd1.51-35%
Similar = season average within ±1.5 of Jy's. Computed from this app's own records.