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JKISeason3-6_​tomljh-v2-Elo algorithm

Visualizing Top Football Teams in History

Level: Medium

Description: As the 2024 European Football Championship (UEFA) unfolds, let's dive into football history with a data challenge. Today you are asked to create a data app that allows users to check, for any timeframe, what the top three teams with the most football victories were. Who are the top three teams of all time? And who were the top three teams in the 1980s?

Author: Michele Bassa

Datasets: Football Data in the KNIME Community Hub

This algorithm is a simplified version of FIFA's "SUM" algorithm, equivalent to an Elo like algorithm.Mainly simplified the setting of K value (Ivalue), without taking different K values according to the competition category, but unifying them into one K value.FIFA “SUM” algorithm:https://digitalhub.fifa.com/m/f99da4f73212220/original/edbm045h0udbwkqew35a-pdf.pdfThe workflow implementation referred to @ Dennis Ganzaroli's articlehttps://medium.com/low-code-for-advanced-data-science/k-ai-powered-python-code-generation-in-knime-and-the-evaluation-of-sports-scoring-systems-76de7399409f Read Dataresults.csv CSV Reader Elo Score Caland View This algorithm is a simplified version of FIFA's "SUM" algorithm, equivalent to an Elo like algorithm.Mainly simplified the setting of K value (Ivalue), without taking different K values according to the competition category, but unifying them into one K value.FIFA “SUM” algorithm:https://digitalhub.fifa.com/m/f99da4f73212220/original/edbm045h0udbwkqew35a-pdf.pdfThe workflow implementation referred to @ Dennis Ganzaroli's articlehttps://medium.com/low-code-for-advanced-data-science/k-ai-powered-python-code-generation-in-knime-and-the-evaluation-of-sports-scoring-systems-76de7399409f Read Dataresults.csv CSV Reader Elo Score Caland View

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