Only 2 games in this filter — thin evidence, treat with care.
Projection
3.6−0.9 vs your line
3.7 baseline — his last 10 games; only 2 this season, too few to blend
−0.1 opponent leak — they concede 152.1/game vs a 155.4 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 3.5 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. Round 20: 8 — 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 · Handballs
152.1per game · league avg 155.4
#14 of 18 most conceded
Stingy against this stat — the over fights uphill.
Venue split · Handballs
At Manuka Oval2.0(1)-2.0
Everywhere else4.0(43)
Only 1 game at this ground — thin evidence.
Wet vs dry · Handballs
Wet games (≥1mm)7.0(1)+3.2
Dry games3.8(43)
Only 1 wet game on record — thin evidence.
Similar players vs GWS · Handballs
Avg diff
+2.0
Avg diff %
+41%
Hit rate
6/8
beat their own average
DateTeamPlayerAvgResultDiff
08-01PORCorey Durdin2.83+8%
08-01PORDante Visentini3.43-12%
08-01PORJoe Berry5.412+122%
08-01PORMiles Bergman5.18+58%
08-01PORMitch Georgiades3.44+17%
08-01PORAliir Aliir3.53-14%
08-01PORJosh Lai3.65+38%
08-01PORLachie Jones4.810+107%
Similar = season average within ±1.5 of Jy's. Computed from this app's own records.