1.5 baseline — 0.6 × season 1.6 (18 gm) + 0.4 × last 10 1.4
−0.1 opponent leak — they concede 33.9/game vs a 35.7 league average
+0.7 at this ground — averages 2.3 there (97 gm)
vs them: averages 2.1 over 9 games — evidence, never summed
SignalsL10 form ·opponent ▼venue ▲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.
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.
HAW concede · Clearances
33.9per game · league avg 35.7
#15 of 18 most conceded
Stingy against this stat — the over fights uphill.
Venue split · Clearances
At M.C.G.2.3(97)-0.2
Everywhere else2.5(64)
Since 2024, all stats real.
Wet vs dry · Clearances
Wet games (≥1mm)4.2(11)+2.0
Dry games2.2(150)
Weather backfilled from station data at each venue.
Similar players vs HAW · Clearances
Avg diff
+0.5
Avg diff %
+25%
Hit rate
4/8
beat their own average
DateTeamPlayerAvgResultDiff
08-01NORLuke Parker1.54+174%
08-01NORDylan Stephens1.81-44%
08-01NORWil Dawson1.010%
08-01NORCaleb Daniel1.71-41%
08-01NORTom Blamires2.03+50%
08-01NORPaul Curtis1.72+18%
08-01NORJy Simpkin2.84+45%
08-01NORCameron Zurhaar1.010%
Similar = season average within ±1.5 of Steele's. Computed from this app's own records.