This document discusses using statistical analysis to understand the dynamics of football games and provide useful coaching insights. It notes that taking a large number of crosses, over 30, correlates with over a 50% chance of losing. It also finds that taking many crosses at home or away strongly correlates with an increasing probability of losing. Additionally, it reports that when this team scores 3 goals, there is a 75% chance they will win, and if they score no goals at home, there is still a 50% chance of a draw, suggesting they are strong defensively.
3. A medium/ strong correlation between the number of crosses taken and the probability of a loss increasing. More than 30 crosses as per the arrow and the probability of a loss is greater than 50% Multiply this axis by 100 to give a %age probability
4. A strong correlation between the number of crosses taken and the probability of a loss increasing either home or away. Away in black is even more apparent Multiply this axis by 100 to give a %age probability
5. When this team scores 3 goals, there is a 75% probability that they will win. If they score no goals at home, there is still a 50% chance that they will draw – strong defensively? Multiply this axis by 100 to give a %age probability
![[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],If you are working in football performance analysis and are willing to collaborate with your data to better understand the dynamics of games then I would be interested to support you voluntarily in order to help tailor and translate statistical insights into clearly beneficial coaching outputs...](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)