Only 3 games in this filter — thin evidence, treat with care.
Projection
4.9−1.6 vs your line
5.4 baseline — his last 10 games; only 3 this season, too few to blend
−0.4 opponent leak — they concede 87/game vs a 93.4 league average
−0.2 at this ground — averages 5.3 there (8 gm)
vs them: averages 3.7 over 3 games — 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. Round 24: 1 — 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.
GCS concede · Marks
87.0per game · league avg 93.4
#13 of 18 most conceded
Stingy against this stat — the over fights uphill.
Venue split · Marks
At Gabba5.3(8)+1.9
Everywhere else3.4(16)
Since 2024, all stats real.
Wet vs dry · Marks
Wet games (≥1mm)—(0)
Dry games4.0(24)
Only 0 wet games on record — thin evidence.
Similar players vs GCS · Marks
Avg diff
+1.0
Avg diff %
+21%
Hit rate
5/8
beat their own average
DateTeamPlayerAvgResultDiff
08-02MELTrent Rivers5.39+70%
08-02MELChangkuoth Jiath5.66+7%
08-02MELBlake Howes4.94-18%
08-02MELEd Langdon5.84-30%
08-02MELMax Gawn4.810+107%
08-02MELJacob van Rooyen4.97+43%
08-02MELTom McDonald5.66+8%
08-02MELJake Lever7.16-16%
Similar = season average within ±1.5 of Darragh's. Computed from this app's own records.