Only 2 games in this filter — thin evidence, treat with care.
Projection
2.6+0.1 · line-ball
2.6 baseline — his last 10 games; only 2 this season, too few to blend
+0.0 opponent leak — they concede 57/game vs a 56.6 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 1.0 over 2 games — evidence, never summed
Signalsopponent ▲projection ·
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 · Tackles
57.0per game · league avg 56.6
#9 of 18 most conceded
Middle of the road matchup.
Venue split · Tackles
At Manuka Oval0.0(1)-1.8
Everywhere else1.8(43)
Only 1 game at this ground — thin evidence.
Wet vs dry · Tackles
Wet games (≥1mm)1.0(1)-0.8
Dry games1.8(43)
Only 1 wet game on record — thin evidence.
Similar players vs GWS · Tackles
Avg diff
+1.4
Avg diff %
+48%
Hit rate
5/8
beat their own average
DateTeamPlayerAvgResultDiff
08-01PORXavier Bamert2.020%
08-01PORJoe Berry2.11-53%
08-01PORMiles Bergman3.16+94%
08-01PORAliir Aliir1.62+22%
08-01PORDante Visentini2.42-17%
08-01PORMitch Georgiades1.93+57%
08-01PORJosh Lai1.83+68%
08-01PORJase Burgoyne3.511+214%
Similar = season average within ±1.5 of Jy's. Computed from this app's own records.