Against all odds - Analysis of Soccer Match Results

<p><strong>Against all odds: What led to the most surprising results in the Bundesliga</strong></p><p>This workflow analyzes soccer data of the recent German soccer league (Bundesliga season 2024/2025) and observes what factors might influence an unexpected result in a match.</p><p>The data used for this analysis are:</p><ol><li><p>Betting market predictions and match statistics (provided by https://www.football-data.co.uk/)</p></li><li><p>The total market values of the teams at each match day (retrieved from https://www.transfermarkt.com/)</p></li></ol><p>In the workflow, the data is first read and pre-processed, before creating various new features (feature engineering). Lastly, a logistic regression is implemented to identify the influencing factors of the target column "upset" (= &nbsp;whether a match resulted in the least likely outcome).</p><p></p><p></p><p><em>This project was worked on by Marta Couto who completed a 3-month internship at KNIME as part of the KNIME Students Challenge program.</em></p>