0.1 baseline — 0.6 × season 0.1 (17 gm) + 0.4 × last 10 0.1
−0.0 opponent leak — they concede 3.4/game vs a 3.5 league average
+0.1 at this ground — averages 0.2 there (59 gm)
+0.1 wet forecast — averages 0.2 in the wet (13 gm)
vs them: averages 0.2 over 13 games — evidence, never summed
SignalsL10 form ▼opponent ▼venue ▲wet ▲projection ·
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 12: 1 — far outside his usual range; kept in the average, not smoothed away. Round 16: 1 — far outside his usual range; kept in the average, not smoothed away.
Line Over Under
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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.
NEW concede · Try Assists
3.4per game · league avg 3.5
#9 of 17 most conceded
Middle of the road matchup.
Venue split · Try Assists
At GIO Stadium0.2(59)
Everywhere else0.2(74)
Since 2024, all stats real.
Wet vs dry · Try Assists
Wet games (≥1mm)0.2(13)
Dry games0.2(120)
Weather backfilled from station data at each venue.
Similar players vs NEW · Try Assists
Avg diff
-0.1
Avg diff %
-35%
Hit rate
1/8
beat their own average
DateTeamPlayerAvgResultDiff
08-09CBRXavier Savage0.10-100%
08-09CBRCorey Horsburgh0.00-100%
08-09CBRJed Stuart0.10-100%
08-09CBRSimi Sasagi0.60-100%
08-09CBREthan Strange0.40-100%
08-09CBREthan Sanders0.80-100%
08-09CBRKaeo Weekes0.21+320%
08-09CBRJoseph Tapine0.000%
Similar = season average within ±1.5 of Matthew's. Computed from this app's own records.