Only 3 games in this filter — thin evidence, treat with care.
Projection
0.0−0.5 · line-ball
0.2 baseline — his last 10 games; only 3 this season, too few to blend
+0.0 opponent leak — they concede 38.8/game vs a 35.7 league average
at this ground: too thin to count (1 gm) — shown, adds nothing
−0.2 wet forecast — averages 0 in the wet (6 gm)
vs them: averages 0.3 over 7 games — evidence, never summed
Signalsopponent ▲wet ▼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 · Clearances
38.8per game · league avg 35.7
#2 of 18 most conceded
They leak this stat — friendly matchup for the over.
Venue split · Clearances
At Manuka Oval0.0(1)-0.1
Everywhere else0.1(68)
Only 1 game at this ground — thin evidence.
Wet vs dry · Clearances
Wet games (≥1mm)0.0(6)-0.2
Dry games0.2(63)
Weather backfilled from station data at each venue.
Similar players vs GWS · Clearances
Avg diff
+0.2
Avg diff %
+16%
Hit rate
3/8
beat their own average
DateTeamPlayerAvgResultDiff
08-01PORBalyn OBrien1.010%
08-01PORMitch Georgiades1.32+50%
08-01PORCorey Durdin1.32+60%
08-01PORDarcy Byrne-Jones1.12+75%
08-01PORDante Visentini1.41-27%
08-01PORMitch Zadow1.010%
07-25SYDDane Rampe1.010%
07-25SYDBraeden Campbell1.51-33%
Similar = season average within ±1.5 of Jamarra's. Computed from this app's own records.