Category: Uncategorized
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Summary This report presents the development and usage of a custom-built software application designed for tagging and coding events in inline skater hockey matches. The primary goal of the project was to create an intuitive tool for recording match data, and facilitating data analysis and visualization. The software enables users to input event details and…
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Abstract This study conducts a clustering analysis on forwards from Europe’s top five football leagues during the 2023–24 season, utilizing K-Means to group players based on their goal-scoring metrics. The analysis specifically targets players who logged at least 900 minutes of play, equivalent to 10 full matches, ensuring a focus on regularly participating athletes. By…
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Abstract This study expands upon the methodologies established in “Rating Systems for Fixed Odds Football Match Prediction” (2003), by applying the goal supremacy model to the Indian Super League (ISL). The research adapts this established model to predict football match outcomes, with a specific focus on the unique dynamics of the ISL. Analysing data from…
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In the evolving world of football analytics, a new metric has emerged, capturing the attention of enthusiasts and analysts alike: xPoints, or expected points. This concept, part of the broader movement toward more nuanced and comprehensive football analysis, represents a significant shift from traditional metrics. While traditionally the focus has been on outcomes — wins, draws, losses — xPoints…
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Abstract This study investigates the influence of comparative team experience on outcomes of UEFA Champions League finals, with a focus on data spanning matches from 1993 to 2023. The analysis is centered on two key independent variables: the difference in the number of previous finals won by players and the difference in their overall finals…
Sidharth Suresh 