Only 2 games in this filter — thin evidence, treat with care.
Projection
4.5−0.0 vs your line
4.7 baseline — his last 10 games; only 2 this season, too few to blend
+0.4 opponent leak — they concede 100.5/game vs a 93.4 league average
−0.6 at this ground — averages 4.1 there (84 gm)
vs them: averages 3.4 over 9 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 16: 11 — 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.
MEL concede · Marks
100.5per game · league avg 93.4
#6 of 18 most conceded
They leak this stat — friendly matchup for the over.
Venue split · Marks
At Adelaide Oval4.1(84)+0.3
Everywhere else3.8(68)
Since 2024, all stats real.
Wet vs dry · Marks
Wet games (≥1mm)3.5(8)-0.5
Dry games4.0(144)
Weather backfilled from station data at each venue.
Similar players vs MEL · Marks
Avg diff
-0.9
Avg diff %
-18%
Hit rate
3/8
beat their own average
DateTeamPlayerAvgResultDiff
08-02GCSCharlie Ballard3.52-43%
08-02GCSBailey Humphrey3.15+60%
08-02GCSBeau Addinsall3.64+12%
08-02GCSNoah Anderson5.34-24%
08-02GCSTouk Miller3.72-45%
08-02GCSLeo Lombard3.04+33%
08-02GCSJai Murray3.81-74%
08-02GCSJoel Jeffrey5.62-64%
Similar = season average within ±1.5 of Connor's. Computed from this app's own records.