1.3 baseline — 0.6 × season 1.4 (16 gm) + 0.4 × last 10 1.2
−0.1 opponent leak — they concede 32.7/game vs a 35.7 league average
−0.4 at this ground — averages 0.9 there (30 gm)
vs them: averages 1.0 over 5 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.
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 · Clearances
32.7per game · league avg 35.7
#18 of 18 most conceded
Stingy against this stat — the over fights uphill.
Venue split · Clearances
At S.C.G.0.9(30)-0.4
Everywhere else1.3(34)
Since 2024, all stats real.
Wet vs dry · Clearances
Wet games (≥1mm)1.0(2)-0.1
Dry games1.1(62)
Only 2 wet games on record — thin evidence.
Similar players vs POR · Clearances
Avg diff
+0.2
Avg diff %
+12%
Hit rate
2/8
beat their own average
DateTeamPlayerAvgResultDiff
08-01GWSJosaia Delana1.84+129%
08-01GWSHarry Rowston2.04+100%
08-01GWSToby Bedford2.32-13%
08-01GWSStephen Coniglio1.91-48%
08-01GWSRyan Angwin2.62-24%
08-01GWSRiley Hamilton1.010%
08-01GWSJake Stringer1.51-33%
08-01GWSHarvey Thomas2.32-13%
Similar = season average within ±1.5 of Matt's. Computed from this app's own records.