Contents PPDA in football what is this statistic in simple terms How is the PPDA metric calculated formula and examples What PPDA values are considered high and low for pressing analysis Which football APIs provide the PPDA metric and advanced pressing statistics How...
Contents What is advanced football statistics xG, xA, PPDA, xT and why is it needed How to calculate and interpret xG and xA in football in simple terms The PPDA metric in football: what it is, the formula, and how to use it in analysis The xT (expected threat)...
Contents What statistical metrics really affect the outcome of a football match Which xG metrics and shots on goal are important for predicting the match result What data on ball possession and passing accuracy should be considered when analyzing a football match What...
Contents What is team dominance in sports and how to measure it using match data What data from the sports API is needed for the team dominance detection model Choosing metrics and features for the team dominance model based on match statistics How to prepare data...
Contents How to obtain sports data via API for machine learning Cleaning sports data from missing values, outliers, and duplicates before ML Normalization and scaling of sports metrics for machine learning models How to combine sports data from different APIs and...
In the modern digital world, sports data is becoming a key resource for match analysis, outcome prediction, and fan application development. Sports APIs allow for structured information to be obtained in real-time and used for various purposes: from betting to media...
