Only 3 games in this filter — thin evidence, treat with care.
Projection
1.2−0.3 vs your line
1.0 baseline — his last 5 games; only 3 this season, too few to blend
−0.0 opponent leak — they concede 11.8/game vs a 12.2 league average
+0.3 at this ground — averages 1.3 there (4 gm)
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.
WBD concede · Marks Inside 50
11.8per game · league avg 12.2
#13 of 18 most conceded
Stingy against this stat — the over fights uphill.
Venue split · Marks Inside 50
At Docklands1.3(4)+1.3
Everywhere else0.0(1)
Since 2024, all stats real.
Wet vs dry · Marks Inside 50
Wet games (≥1mm)—(0)
Dry games1.0(5)
Only 0 wet games on record — thin evidence.
Similar players vs WBD · Marks Inside 50
Avg diff
-0.2
Avg diff %
-9%
Hit rate
1/8
beat their own average
DateTeamPlayerAvgResultDiff
07-31FREIsaiah Dudley1.11-9%
07-31FRESam Switkowski1.21-18%
07-31FRECaleb Serong1.010%
07-31FRELuke Jackson1.72+20%
07-31FRENathan ODriscoll2.020%
07-31FREPatrick Voss2.32-14%
07-25RICMykelti Lefau1.41-28%
07-25RICTom Lynch2.72-26%
Similar = season average within ±1.5 of Matt's. Computed from this app's own records.