Only 2 games in this filter — thin evidence, treat with care.
Projection
0.2−0.3 · line-ball
0.4 baseline — his last 10 games; only 2 this season, too few to blend
−0.1 opponent leak — they concede 9.6/game vs a 12.2 league average
−0.2 at this ground — averages 0.3 there (4 gm)
vs them: averages 0.2 over 5 games — evidence, never summed
Signalsopponent ▼venue ▼projection ·
Most signals here point under while you're on the over — worth reading the working above before you commit.
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.
SYD concede · Marks Inside 50
9.6per game · league avg 12.2
#17 of 18 most conceded
Stingy against this stat — the over fights uphill.
Venue split · Marks Inside 50
At M.C.G.0.3(4)+0.1
Everywhere else0.2(93)
Since 2024, all stats real.
Wet vs dry · Marks Inside 50
Wet games (≥1mm)0.1(7)-0.1
Dry games0.2(90)
Weather backfilled from station data at each venue.
Similar players vs SYD · Marks Inside 50
Avg diff
-0.1
Avg diff %
-7%
Hit rate
1/8
beat their own average
DateTeamPlayerAvgResultDiff
08-01STKDarcy Wilson1.31-22%
08-01STKNasiah Wanganeen-Milera1.31-22%
08-01STKRowan Marshall1.72+18%
08-01STKAnthony Caminiti1.11-12%
08-01STKBradley Hill1.010%
08-01STKMax Hall1.31-20%
08-01STKHugo Garcia1.010%
07-25GWSRyan Angwin1.010%
Similar = season average within ±1.5 of Brayden's. Computed from this app's own records.