Only 1 game in this filter — thin evidence, treat with care.
Projection
13.2−3.3 vs your line
12.7 baseline — his last 10 games; only 1 this season, too few to blend
+0.5 opponent leak — they concede 193.8/game vs a 186.3 league average
at this ground: too thin to count (1 gm) — shown, adds nothing
vs them: averages 4.0 over 1 game — 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.
PAR concede · Runs
193.8per game · league avg 186.3
#4 of 17 most conceded
They leak this stat — friendly matchup for the over.
Venue split · Runs
At Allianz Stadium4.0(1)-8.3
Everywhere else12.3(10)
Only 1 game at this ground — thin evidence.
Wet vs dry · Runs
Wet games (≥1mm)0.0(1)-12.7
Dry games12.7(10)
Only 1 wet game on record — thin evidence.
Similar players vs PAR · Runs
Avg diff
+1.1
Avg diff %
+7%
Hit rate
6/8
beat their own average
DateTeamPlayerAvgResultDiff
08-02WSTTerrell May17.126+52%
08-02WSTJahream Bula17.815-16%
08-02WSTHeamasi Makasini13.910-28%
08-02WSTJunior Tupou14.315+5%
08-02WSTSunia Turuva14.018+29%
08-02WSTAlex Twal14.716+9%
07-23PENIsaiah Papali'i14.9150%
07-23PENCasey McLean14.715+2%
Similar = season average within ±2.4 of Bayleigh's. Computed from this app's own records.