0.2 baseline — 0.6 × season 0.3 (17 gm) + 0.4 × last 10 0.1
−0.0 opponent leak — they concede 11.7/game vs a 12.8 league average
+0.2 at this ground — averages 0.5 there (33 gm)
vs them: averages 0.4 over 5 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. Round 1: 2 — far outside his usual range; kept in the average, not smoothed away.
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.
COL concede · Goals
11.7per game · league avg 12.8
#15 of 18 most conceded
Stingy against this stat — the over fights uphill.
Venue split · Goals
At M.C.G.0.5(33)+0.2
Everywhere else0.3(44)
Since 2024, all stats real.
Wet vs dry · Goals
Wet games (≥1mm)0.0(6)-0.4
Dry games0.4(71)
Weather backfilled from station data at each venue.
Similar players vs COL · Goals
Avg diff
-0.2
Avg diff %
-14%
Hit rate
1/8
beat their own average
DateTeamPlayerAvgResultDiff
07-30GEEJack Martin1.71-40%
07-30GEEOliver Wiltshire1.61-38%
07-30GEEMark Blicavs1.010%
07-23ADEJordan Dawson1.61-38%
07-23ADEToby Murray1.31-22%
07-23ADEFinnbar Maley1.010%
07-18CARMatthew Cottrell1.31-20%
07-18CARBen Ainsworth1.42+43%
Similar = season average within ±1.5 of Josh's. Computed from this app's own records.