0.1 baseline — 0.6 × season 0.1 (21 gm) + 0.4 × last 10 0.1
−0.0 opponent leak — they concede 4/game vs a 4.2 league average
+0.0 at this ground — averages 0.2 there (12 gm)
wet forecast: too thin to count (3 gm) — shown, adds nothing
vs them: averages 0.0 over 2 games — evidence, never summed
SignalsL10 form ▼opponent ▼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.
NEW concede · Tries
4.0per game · league avg 4.2
#11 of 17 most conceded
Middle of the road matchup.
Venue split · Tries
At GIO Stadium0.2(12)+0.1
Everywhere else0.1(15)
Since 2024, all stats real.
Wet vs dry · Tries
Wet games (≥1mm)0.3(3)+0.3
Dry games0.1(24)
Only 3 wet games on record — thin evidence.
Similar players vs NEW · Tries
Avg diff
+0.0
Avg diff %
+8%
Hit rate
2/8
beat their own average
DateTeamPlayerAvgResultDiff
08-09CBRMatthew Timoko0.40-100%
08-09CBRCorey Horsburgh0.10-100%
08-09CBRJed Stuart0.31+260%
08-09CBRSimi Sasagi0.52+300%
08-09CBRXavier Savage0.60-100%
08-09CBREthan Strange0.30-100%
08-09CBRKaeo Weekes0.50-100%
08-09CBRJoseph Tapine0.000%
Similar = season average within ±1.5 of Ethan's. Computed from this app's own records.