Stat Glossary
Master the data behind the game. We break down the complex metrics used by professional bettors to find value in every fixture.
Expected Goals (xG)
A measure of the quality of a shot based on several variables such as assist type, shot angle and distance from goal. Essential for understanding team efficiency.
Read Deep-DiveFoul Markets
Analyzing how often a player commits fouls versus how often they suffer them. Key for identifying high-value player prop bets in aggressive matches.
Read Deep-DiveCard Volatility
Combining team aggression stats with referee historical data to predict the likelihood of yellow and red cards in a fixture.
Read Deep-DiveShots on Target (SOT)
Tracking player efficiency in hitting the target. We analyze hit-rates over the last 10 games to find market inefficiencies.
Read Deep-DiveHow to Use Stats for Betting
Raw data is useless without context. In football betting, many people look at season averages, but recent form (Last 10 Matches) is far more predictive of future performance.
That's why our cheat sheets focus on rolling averages. For example, a team that averages 12 fouls per season might have averaged 15 in their last 3 games due to a change in tactics or personell. Identifying these trends before the bookmakers adjust their odds is where the true value lies.
Key Metrics We Track
- Hit Rates: The percentage of matches where a player met a specific criteria (e.g., 2+ shots).
- Referee Tendencies: How likely an official is to disrupt the game or brandish cards.
- Opposition Averages: Analyzing how a team's opponent typically behaves to predict the flow of the match.