0.2 baseline — 0.6 × season 0.2 (10 gm) + 0.4 × last 10 0.2
+0.0 opponent leak — they concede 12.5/game vs a 12.2 league average
−0.0 at this ground — averages 0.2 there (45 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.
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 · Marks Inside 50
12.5per game · league avg 12.2
#6 of 18 most conceded
They leak this stat — friendly matchup for the over.
Venue split · Marks Inside 50
At M.C.G.0.2(45)
Everywhere else0.2(65)
Since 2024, all stats real.
Wet vs dry · Marks Inside 50
Wet games (≥1mm)0.0(13)-0.2
Dry games0.2(97)
Weather backfilled from station data at each venue.
Similar players vs COL · Marks Inside 50
Avg diff
-0.1
Avg diff %
-10%
Hit rate
1/8
beat their own average
DateTeamPlayerAvgResultDiff
07-30GEEJhye Clark1.32+50%
07-30GEEMitchell Edwards1.010%
07-30GEEGryan Miers1.31-20%
07-30GEEShaun Mannagh1.11-9%
07-30GEEMark Blicavs1.31-25%
07-23ADEJosh Rachele1.21-18%
07-23ADEToby Murray1.71-40%
07-23ADEBen Keays1.31-22%
Similar = season average within ±1.5 of Harry's. Computed from this app's own records.