Only 3 games in this filter — thin evidence, treat with care.
Projection
0.3−0.2 vs your line
0.9 baseline — his last 10 games; only 3 this season, too few to blend
−0.0 opponent leak — they concede 11.8/game vs a 12.2 league average
−0.5 at this ground — averages 0.4 there (44 gm)
vs them: averages 0.3 over 4 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 22: 3 — 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.
POR concede · Marks Inside 50
11.8per game · league avg 12.2
#12 of 18 most conceded
Middle of the road matchup.
Venue split · Marks Inside 50
At S.C.G.0.4(44)
Everywhere else0.4(50)
Since 2024, all stats real.
Wet vs dry · Marks Inside 50
Wet games (≥1mm)0.3(6)
Dry games0.4(88)
Weather backfilled from station data at each venue.
Similar players vs POR · Marks Inside 50
Avg diff
+0.3
Avg diff %
+20%
Hit rate
4/8
beat their own average
DateTeamPlayerAvgResultDiff
08-01GWSStephen Coniglio1.32+56%
08-01GWSCallum Brown1.52+33%
08-01GWSAaron Cadman1.91-46%
07-26BRIJosh Dunkley1.010%
07-26BRIWill Ashcroft1.010%
07-26BRICharlie Cameron1.94+106%
07-26BRIZac Bailey1.82+12%
07-26BRIJaspa Fletcher1.010%
Similar = season average within ±1.5 of Braeden's. Computed from this app's own records.