World Cup · Round of 32
Australia vs Egypt
Jul 03, 06:00 PM
Drama Profile
How both teams have handled pressure across the season.
Historical pattern, informational only.
Normal PREDICTIONConfidence ThresholdGoalence groups predictions into three tiers by the probability of the picked outcome: Elite (≥ 70%), Safe (55-70%), and Normal (< 55%). Accuracy is reported separately for each tier so users can see how the model performs at its strongest signal.→
Australia Home Win
52%
Predicted score: 1-0
Outcome Probabilities
1X2 — Match ResultMatch Result (1X2)The traditional outcome market: Home win (1), Draw (X), or Away win (2). Goalence outputs three probabilities summing to 100% for every fixture.→
Over/Under 2.5Over/Under 2.5A prediction market that resolves Over if the total goals in the match are 3 or more, Under if 2 or fewer. Computed from Goalence's two lambdas: P(home_goals + away_goals ≥ 3).→
Both Teams ScoreBTTS — Both Teams To ScoreA prediction market that resolves Yes if both teams score at least one goal in the match, No otherwise. Goalence outputs a BTTS probability for every fixture by integrating the Poisson distribution over scorelines.→
Most Likely Scores
1-0
18.5%
0-0
14.1%
2-0
12.0%
1-1
12.0%
0-1
9.2%
Knockout scenario
This is a knockout tie: a draw after 90 minutes goes to 30 minutes of extra time, and if still level, a penalty shootout.
About 29% chance the match is level after 90 minutes and goes to extra time.
If it goes to extra time (30 min):
If it goes to penalties:
Based on the squad's recent penalty conversion; a shootout still comes down largely to chance.
Pre-match Outlook
Australia enter this World Cup fixture with a measured advantage over Egypt (52% confidence, Normal tier) and a projected 1-0 result.
In this World Cup context, small swings in form or selection can flip the projection — treat the moderate-confidence pick as a starting point rather than a lock.
How the Model Works
We use an iterative Pi-Ratings model: each team has separate home and away attack/defense ratings, updated after every match. Lambda values are converted to outcome probabilities via Poisson distribution. Match result, over/under, and BTTS predictions are all derived from a single coherent model.
Australia vs Egypt — Australia Home Win: 52%.
Predictions are produced by statistical models and cannot be guaranteed. Use as reference only.