3.4 baseline — 0.6 × season 3.4 (5 gm) + 0.4 × last 10 3.5
−0.2 opponent leak — they concede 88.8/game vs a 93.4 league average
at this ground: too thin to count (3 gm) — shown, adds nothing
vs them: averages 2.7 over 7 games — evidence, never summed
SignalsL10 form ▲opponent ▼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 · Marks
88.8per game · league avg 93.4
#11 of 18 most conceded
Middle of the road matchup.
Venue split · Marks
At Sydney Showground1.3(3)-2.3
Everywhere else3.7(130)
Only 3 games at this ground — thin evidence.
Wet vs dry · Marks
Wet games (≥1mm)2.9(10)-0.8
Dry games3.7(123)
Weather backfilled from station data at each venue.
Similar players vs GWS · Marks
Avg diff
-0.4
Avg diff %
-10%
Hit rate
3/8
beat their own average
DateTeamPlayerAvgResultDiff
08-01PORLachie Jones4.33-31%
08-01PORWill Lorenz3.53-14%
08-01PORWillem Drew2.83+8%
08-01PORJoe Berry3.33-8%
08-01POROllie Wines4.56+33%
08-01PORCorey Durdin3.43-12%
08-01PORXavier Bamert3.94+3%
08-01PORTodd Marshall4.62-56%
Similar = season average within ±1.5 of Jamie's. Computed from this app's own records.